[ { "path": ".github/workflows/repo_search.yml", "content": "name: Repo-Search\n\non:\n schedule:\n - cron: '0 1 * * *'\n\njobs:\n # Set the job key. The key is displayed as the job name\n update-repo-status:\n # Name the Job\n name: Update repo status for all saved repo\n # Set the type of machine to run on\n runs-on: ubuntu-latest\n\n steps:\n - name: Checkout code\n uses: actions/checkout@v2\n with:\n fetch-depth: 0\n\n - name: setup python\n uses: actions/setup-python@v2\n with:\n python-version: 3.7\n\n - name: Install dependencies\n run: |\n python -m pip install --upgrade pip\n if [ -f requirements.txt ]; then pip install -r requirements.txt; fi\n\n - name: execute py script # run the run.py to get the latest data\n run: |\n python git_search.py\n env:\n GIT_TOKEN: ${{ secrets.GIT_TOKEN }}\n\n - name: Commit & Push changes\n uses: actions-js/push@master\n with:\n github_token: ${{ secrets.GIT_TOKEN }}\n branch: 'master'\n" }, { "path": ".github/workflows/repo_status.yml", "content": "name: Repo-Updater\n\non:\n schedule:\n - cron: '0 0 * * 0' # weekly\n\n\njobs:\n # Set the job key. The key is displayed as the job name\n update-repo-status:\n # Name the Job\n name: Update repo status for all saved repo\n # Set the type of machine to run on\n runs-on: ubuntu-latest\n\n steps:\n - name: Checkout code\n uses: actions/checkout@v2\n with:\n fetch-depth: 0\n\n - name: setup python\n uses: actions/setup-python@v2\n with:\n python-version: 3.7\n\n - name: Install dependencies\n run: |\n python -m pip install --upgrade pip\n if [ -f requirements.txt ]; then pip install -r requirements.txt; fi\n\n - name: execute py script # run the run.py to get the latest data\n run: |\n python git_status.py\n env:\n GIT_TOKEN: ${{ secrets.GIT_TOKEN }}\n\n - name: Commit & Push changes\n uses: actions-js/push@master\n with:\n github_token: ${{ secrets.GIT_TOKEN }}\n branch: 'master'\n" }, { "path": ".github/workflows/wiki_gen.yml", "content": "name: Wiki-Generator\n\n# generate wiki page on every push\non: push\n\njobs:\n # Set the job key. The key is displayed as the job name\n update-repo-status:\n # Name the Job\n name: Update repo status for all saved repo\n # Set the type of machine to run on\n runs-on: ubuntu-latest\n\n steps:\n - name: Checkout code\n uses: actions/checkout@v2\n with:\n fetch-depth: 0\n\n - name: setup python\n uses: actions/setup-python@v2\n with:\n python-version: 3.7\n\n - name: Install dependencies\n run: |\n python -m pip install --upgrade pip\n if [ -f requirements.txt ]; then pip install -r requirements.txt; fi\n\n# - name: execute status update script # run the run.py to get the latest data\n# run: |\n# python git_search.py\n# env:\n# GIT_TOKEN: ${{ secrets.GIT_TOKEN }}\n\n - name: execute wiki generation script # run the wiki_gen\n run: |\n python wiki_gen.py\n\n - name: Upload Documentation to Wiki\n uses: SwiftDocOrg/github-wiki-publish-action@v1\n with:\n path: \"generated_wiki\"\n env:\n GH_PERSONAL_ACCESS_TOKEN: ${{ secrets.GIT_TOKEN }}\n\n# - name: Check out master first\n# uses: actions/checkout@master\n# with:\n# persist-credentials: false # otherwise, the token used is the GITHUB_TOKEN, instead of your personal token\n# fetch-depth: 0 # otherwise, you will failed to push refs to dest repo\n\n - name: Commit & Push changes\n uses: actions-js/push@master\n with:\n github_token: ${{ secrets.GIT_TOKEN }}\n branch: 'master'" }, { "path": ".gitignore", "content": "# Byte-compiled / optimized / DLL files\n__pycache__/\n*.py[cod]\n*$py.class\n\n# C extensions\n*.so\n\n# Distribution / packaging\n.Python\nbuild/\ndevelop-eggs/\ndist/\ndownloads/\neggs/\n.eggs/\nlib/\nlib64/\nparts/\nsdist/\nvar/\nwheels/\npip-wheel-metadata/\nshare/python-wheels/\n*.egg-info/\n.installed.cfg\n*.egg\nMANIFEST\n\n# PyInstaller\n# Usually these files are written by a python script from a template\n# before PyInstaller builds the exe, so as to inject date/other infos into it.\n*.manifest\n*.spec\n\n# Installer logs\npip-log.txt\npip-delete-this-directory.txt\n\n# Unit test / coverage reports\nhtmlcov/\n.tox/\n.nox/\n.coverage\n.coverage.*\n.cache\nnosetests.xml\ncoverage.xml\n*.cover\n*.py,cover\n.hypothesis/\n.pytest_cache/\n\n# Translations\n*.mo\n*.pot\n\n# Django stuff:\n*.log\nlocal_settings.py\ndb.sqlite3\ndb.sqlite3-journal\n\n# Flask stuff:\ninstance/\n.webassets-cache\n\n# Scrapy stuff:\n.scrapy\n\n# Sphinx documentation\ndocs/_build/\n\n# PyBuilder\ntarget/\n\n# Jupyter Notebook\n.ipynb_checkpoints\n\n# IPython\nprofile_default/\nipython_config.py\n\n# pyenv\n.python-version\n\n# pipenv\n# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.\n# However, in case of collaboration, if having platform-specific dependencies or dependencies\n# having no cross-platform support, pipenv may install dependencies that don't work, or not\n# install all needed dependencies.\n#Pipfile.lock\n\n# PEP 582; used by e.g. github.com/David-OConnor/pyflow\n__pypackages__/\n\n# Celery stuff\ncelerybeat-schedule\ncelerybeat.pid\n\n# SageMath parsed files\n*.sage.py\n\n# Environments\n.env\n.venv\nenv/\nvenv/\nENV/\nenv.bak/\nvenv.bak/\n\n# Spyder project settings\n.spyderproject\n.spyproject\n\n# Rope project settings\n.ropeproject\n\n# mkdocs documentation\n/site\n\n# mypy\n.mypy_cache/\n.dmypy.json\ndmypy.json\n\n# Pyre type checker\n.pyre/\n.idea/\n\n.DS_Store\n.editorconfig\n" }, { "path": "README.md", "content": "[![Repo-Updater](https://github.com/firmai/financial-machine-learning/actions/workflows/repo_status.yml/badge.svg)](https://github.com/firmai/financial-machine-learning/actions/workflows/repo_status.yml)\n[![Wiki-Generator](https://github.com/firmai/financial-machine-learning/actions/workflows/wiki_gen.yml/badge.svg)](https://github.com/firmai/financial-machine-learning/actions/workflows/wiki_gen.yml)\n[![Repo-Search](https://github.com/firmai/financial-machine-learning/actions/workflows/repo_search.yml/badge.svg)](https://github.com/firmai/financial-machine-learning/actions/workflows/repo_search.yml)\n[![Gitter](https://badges.gitter.im/financial-machine-learning/community.svg)](https://gitter.im/financial-machine-learning/community?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)\n\n---\n\n## 🌟 We Are Growing!\n\nWe're seeking to collaborate with motivated, independent PhD graduates or doctoral students on approximately seven new projects in 2024. If you’re interested in contributing to cutting-edge investment insights and data analysis, please get in touch! This could be in colaboration with a university or as independent study. \n\n![image](https://github.com/user-attachments/assets/da97663a-b63f-4286-94cc-fcd168905109)\n\n\n### 🚀 About Sov.ai\n\nSov.ai is at the forefront of integrating advanced machine learning techniques with financial data analysis to revolutionize investment strategies. We are working with **3 of the top 10** quantitative hedge funds, and with many mid-sized and boutique firms. \n\nOur platform leverages diverse data sources and innovative algorithms to deliver actionable insights that drive smarter investment decisions. \n\nBy joining Sov.ai, you'll be part of a dynamic research team dedicated to pushing the boundaries of what's possible in finance through technology. Before expressing your interest, please be aware that the research will be predominantly challenging and experimental in nature.\n\n\n### 🔍 Research and Project Opportunities\n\nWe offer a wide range of projects that cater to various interests and expertise within machine learning and finance. Some of the exciting recent projects include:\n\n- **Predictive Modeling with GitHub Logs:** Develop models to predict market trends and investment opportunities using GitHub activity and developer data.\n- **Satallite Data Analysis:** Explore non-traditional data sources such as social media sentiment, satellite imagery, or web traffic to enhance financial forecasting.\n- **Data Imputation Techniques:** Investigate new methods for handling missing or incomplete data to improve the robustness and accuracy of our models.\n\nPlease visit [docs.sov.ai](https://docs.sov.ai) for more information on public projects that have made it into the subscription product. If you already have a corporate sponsor, we are also happy to work with them. \n\n### 🌐 Why Join Sov.ai?\n\n- **Innovative Environment:** Engage with the latest technologies and methodologies in machine learning and finance.\n- **Collaborative Team:** Work alongside a team of experts passionate about driving innovation in investment insights.\n- **Flexible Projects:** Tailor your research to align with your interests and expertise, with the freedom to explore new ideas.\n- **Experienced Researchers:** Experts previously from NYU, Columbia, Oxford-Man Institute, Alan Turing Institute, and Cambridge.\n- **Post Research:** Connect with alumni that has moved on to DRW, Citadel Securities, Virtu Financial, Akuna Capital, HRT.\n\n\n### 🤝 How to Apply\n\nIf you’re excited about leveraging your expertise in machine learning and finance to drive impactful research and projects, we’d love to hear from you! Please reach out to us at [research@sov.ai](mailto:research@sov.ai) with your resume and a brief description of your research interests.\n\nJoin us in shaping the future of investment insights and making a meaningful impact in the world of finance!\n\n\n\n## So what is [ML-Quant.com](https://ml-quant.com) then?\n\n\nIt is our firehose of daily research, serving as an internal knowledge base and client resource while also acting as a marketing channel to showcase our expertise and attract potential clients in the machine learning and quantitative finance space.\n\n\n![Screenshot 2024-10-04 at 08-30-53 ML-Quant - Machine Learning and Quantitative Finance](https://github.com/user-attachments/assets/37911503-1277-4eec-b856-bb801ca9b45b)\n\n\n\n# Financial Machine Learning and Data Science\n\n\n- All repos/links status including last commit date is updated daily\n- Only 15 Highest ranked repos/links for each section are displayed on main README.md and full list is available within the wiki page\n- Both Wikis/README.md is updated in realtime as soon as new information are pushed to the repo \n___\n\n# Trading\n## Deep Learning & Reinforcement Learning ([Wiki](https://github.com/firmai/financial-machine-learning/wiki/deep_learning_and_reinforcement_learning))\n \n| repo | comment | created_at | last_commit | star_count | repo_status | rating |\n|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------|\n| [FinRL-Library](https://github.com/AI4Finance-LLC/FinRL-Library) | started by Columbia university engineering students and designed as an end to end deep reinforcement learning library for automated trading platform. Implementation of DQN DDQN DDPG etc using PyTorch and [gym](https://gym.openai.com/) use [pyfolio](https://github.com/quantopian/pyfolio) for showing backtesting stats. Big contributions on Proximal Policy Optimization (PPO) advantage actor critic (A2C) and Deep Deterministic Policy Gradient (DDPG) agents for trading | 2020-07-26 13:18:16 | 2024-09-28 02:56:03 | 9697.0 | :heavy_check_mark: | :star:x5 |\n| [Stock-Prediction-Models](https://github.com/huseinzol05/Stock-Prediction-Models) | very good curated list of notebooks showing deep learning + reinforcement learning models. Also contain topics on outlier detections/overbought oversold study/monte carlo simulartions/sentiment analysis from text (text storage/parsing is not detailed but it mentioned using [BERT](https://github.com/google-research/bert)) | 2017-12-18 10:49:59 | 2021-01-05 10:31:50 | 7924.0 | :heavy_multiplication_x: | :star:x5 |\n| [AI Trading](https://github.com/borisbanushev/stockpredictionai/blob/master/readme2.md) | AI to predict stock market movements. | 2019-01-09 08:02:47 | 2019-02-11 16:32:47 | 4094.0 | :heavy_multiplication_x: | :star:x5 |\n| [Deep Learning IV](https://github.com/achillesrasquinha/bulbea) | Bulbea: Deep Learning based Python Library. | 2017-03-09 06:11:06 | 2017-03-19 07:42:49 | 2032.0 | :heavy_multiplication_x: | :star:x5 |\n| [RLTrader](https://github.com/notadamking/RLTrader) | predecessor to [tensortrade](https://github.com/tensortrade-org/tensortrade) uses open api [gym](https://gym.openai.com/) and neat way to render matplotlib plots in real time. Also explains LSTM/data stationarity/Bayesian optimization using [Optuna](https://github.com/optuna/optuna) etc. | 2019-04-27 18:35:15 | 2019-10-17 16:25:49 | 1731.0 | :heavy_multiplication_x: | :star:x5 |\n| [Deep Learning III](https://github.com/Rachnog/Deep-Trading) | Algorithmic trading with deep learning experiments. | 2016-06-18 18:23:06 | 2018-08-07 15:24:45 | 1429.0 | :heavy_multiplication_x: | :star:x5 |\n| [Personae](https://github.com/Ceruleanacg/Personae) | implementation of deep reinforcement learning and supervised learnings covering areas: deep deterministic policy gradient (DDPG) and DDQN etc. Data are being pulled from [rqalpha](https://github.com/ricequant/rqalpha) which is a python backtest engine and have a nice docker image to run training/testing | 2018-03-10 11:22:00 | 2018-09-02 17:21:38 | 1340.0 | :heavy_multiplication_x: | :star:x5 |\n| [RL Trading](https://colab.research.google.com/drive/1FzLCI0AO3c7A4bp9Fi01UwXeoc7BN8sW) | A collection of 25+ Reinforcement Learning Trading Strategies -Google Colab. | nan | nan | nan | :heavy_check_mark: | :star:x4 |\n| [Neural Network](https://github.com/VivekPa/IntroNeuralNetworks) | Neural networks to predict stock prices. | 2018-09-10 06:34:53 | 2018-11-21 07:39:31 | 734.0 | :heavy_multiplication_x: | :star:x4 |\n| [Deep Learning](https://github.com/keon/deepstock) | Technical experimentations to beat the stock market using deep learning. | 2016-12-12 02:15:12 | 2017-03-04 08:37:29 | 470.0 | :heavy_multiplication_x: | :star:x4 |\n| [Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020](https://github.com/AI4Finance-LLC/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020) | Part of FinRL and provided code for paper [deep reinformacement learning for automated stock trading](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3690996) focuses on ensemble. | 2020-07-26 13:12:53 | 2024-07-01 08:09:06 | 2019.0 | :heavy_check_mark: | :star:x4 |\n| [LTSM Recurrent](https://github.com/VivekPa/AIAlpha) | OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network. | 2018-10-07 03:58:26 | 2019-08-03 09:00:44 | 1711.0 | :heavy_multiplication_x: | :star:x4 |\n| [awesome-deep-trading](https://github.com/cbailes/awesome-deep-trading) | curated list of papers/repos on topics like CNN/LSTM/GAN/Reinforcement Learning etc. Categorized as deep learning for now but there are other topics here. Manually maintained by cbailes | 2018-11-26 03:23:04 | 2021-01-01 09:41:21 | 1482.0 | :heavy_multiplication_x: | :star:x4 |\n| [trading-bot](https://github.com/pskrunner14/trading-bot) | Implementation of deep reinforcement learning using Deep Q Network (DQN). Only supports single security at the moment. Idea is roughly based [here](https://keon.github.io/deep-q-learning/) and uses tensorflow/keras. Interesting helper python libraries used here are [tqdm](https://tqdm.github.io/) for console based progress bar and [altair](https://altair-viz.github.io/) for declarative visualization in python | 2018-08-13 10:44:08 | 2020-01-23 04:41:20 | 952.0 | :heavy_multiplication_x: | :star:x3 |\n| [crypto-rl](https://github.com/sadighian/crypto-rl) | Retrieve limit order book level data from coinbase pro and bitfinex -> record in [arctic](https://github.com/man-group/arctic) timeseries database then implemented trend following strategies (market orders) and market making (limit orders). Uses reinforcement learning (DQN) [keras-rl](https://github.com/keras-rl/keras-rl) to create agents and uses [openai gym](https://gym.openai.com/) to implement POMDP (partially observable markov decision process) | 2018-06-21 01:06:01 | 2021-11-30 13:52:18 | 849.0 | :heavy_multiplication_x: | :star:x3 | \n \n\n## Other Models ([Wiki](https://github.com/firmai/financial-machine-learning/wiki/other_models))\n \n| repo | comment | created_at | last_commit | star_count | repo_status | rating |\n|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------|\n| [Microservices-Based-Algorithmic-Trading-System](https://github.com/saeed349/Microservices-Based-Algorithmic-Trading-System) | docker based platfrom for developing algo trading strategies. Very interesting combinations of open source components were used including [backtrader](https://www.backtrader.com/) for backtest strategies / [mlflow](https://mlflow.org/) for managing the machine learning model life cycle (i.e. training and developing machine learning models) / [airflow](https://airflow.apache.org/) used as workflow management including schedule data download etc. / [superset](https://superset.apache.org/) web data visualization tool similar to tableau / [minio](https://min.io/) for fast object storage (i.e. storing saved models and model artifacts) / postgresql used to store security master and daily and minute data. Also contains some details on deployment on cloud | 2020-01-06 00:21:58 | 2024-04-08 19:33:16 | 443.0 | :heavy_check_mark: | :star:x5 |\n| [Awesome-Quant-Machine-Learning-Trading](https://github.com/grananqvist/Awesome-Quant-Machine-Learning-Trading) | curated list of books/online courses/youtube videos/blogs/interviews/papers/code etc. Updates are pretty infrequent | 2018-11-05 21:09:06 | 2020-10-08 16:48:18 | 2675.0 | :heavy_multiplication_x: | :star:x5 |\n| [Hands-On-Machine-Learning-for-Algorithmic-Trading](https://github.com/PacktPublishing/Hands-On-Machine-Learning-for-Algorithmic-Trading) | repo for book [hands-on-machine learning for algorithmic trading](https://www.packtpub.com/product/hands-on-machine-learning-for-algorithmic-trading/9781789346411) covering topic from data/unsupervised learning/NPL/RNN & CNN/reinforcement learning etc. Leverage zipline/alphalens/sklearn/openai-gym etc as well. Good references to have | 2019-05-07 11:04:25 | 2023-01-18 09:16:47 | 1418.0 | :heavy_check_mark: | :star:x5 |\n| [fin-ml](https://github.com/tatsath/fin-ml) | accompanying materials for book [Machine Learning and Data Science Blueprints for Finance](https://www.amazon.com/Machine-Learning-Science-Blueprints-Finance/dp/1492073059) on top of basic machine learning models i.e. nlp/reinforcement learning/supervised & unsupervised learning it covers wider topics including robo-advisors/fraud detection/loan default/derivative pricing/yield curve construction. | 2020-05-10 00:25:56 | 2023-01-26 22:03:20 | 846.0 | :heavy_check_mark: | :star:x4 |\n| [Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original](https://github.com/PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original) | official repo for [machine learning for algorithmic trading](https://www.amazon.com/Machine-Learning-Algorithmic-Trading-alternative/dp/1839217715?pf_rd_r=GZH2XZ35GB3BET09PCCA&pf_rd_p=c5b6893a-24f2-4a59-9d4b-aff5065c90ec&pd_rd_r=91a679c7-f069-4a6e-bdbb-a2b3f548f0c8&pd_rd_w=2B0Q0&pd_rd_wg=GMY5S&ref_=pd_gw_ci_mcx_mr_hp_d) book. Covering topics including backtesting/boosting/nlp/deep&reinforcement learning. Leverage open source libraries including [backtrader](https://www.backtrader.com/) [zipline](https://github.com/quantopian/zipline) and [talib](https://github.com/mrjbq7/ta-lib) | 2019-11-15 08:51:40 | 2023-01-18 09:11:25 | 1192.0 | :heavy_check_mark: | :star:x4 |\n| [AlphaPy](https://github.com/ScottfreeLLC/AlphaPy) | machine learning framework built on sklearn and pandas. Support pyfolio/xgboost/lightgmb/catboost(gradient boosting on decision tress) etc. Examples include financial market prediction/sports prediction/kaggle. Configurations are set though yaml file for all model process including feature selection/grid search on parameters and aggregate results for each model | 2016-02-14 00:47:32 | 2024-02-10 16:41:20 | 1137.0 | :heavy_check_mark: | :star:x4 |\n| [Stock.Indicators](https://github.com/DaveSkender/Stock.Indicators) | list of technical indicators implemented in c#. Full list and explanation available [here](https://daveskender.github.io/Stock.Indicators/docs/INDICATORS.html). This list contains several indicators that ta-lib does not cover | 2019-12-29 05:18:07 | 2024-09-09 18:29:11 | 963.0 | :heavy_check_mark: | :star:x3 |\n| [Fundamental LT Forecasts](https://github.com/Hvass-Labs/FinanceOps) | Research in investment finance for long term forecasts and a curated list of notebooks. Each topic contains a youtube video explaining in details. Interesting topics including using price per book ratio and other multiples for future return prediction and portfolio optimization. data sourced form [simfin](https://github.com/SimFin/simfin) yahoo finance and [s&p 500 earnings and estimate report](https://www.spglobal.com/spdji/en/documents/additional-material/sp-500-eps-est.xlsx) etc. | 2018-07-22 08:14:46 | 2022-02-12 13:26:40 | 838.0 | :heavy_multiplication_x: | :star:x3 |\n| [stock-trading-ml](https://github.com/yacoubb/stock-trading-ml) | lstm model using keras to predict msft prices. Data is from [alphavantage](https://www.alphavantage.co/) which provides some free data through web services. Showing how to use concatenation layer to join timeseries data with TA data. Might be abit of overfitting on the model though | 2019-10-10 09:44:02 | 2019-10-12 11:38:49 | 597.0 | :heavy_multiplication_x: | :star:x3 |\n| [MathAndScienceNotes](https://github.com/melling/MathAndScienceNotes) | Collections of news/articles on various topics including quant trading and machine learning. Some articles are from [ycombinator message board](https://news.ycombinator.com/news) and [rediit algotrading forum](https://www.reddit.com/r/algotrading/) | 2016-03-11 19:13:00 | 2020-12-21 03:54:51 | 504.0 | :heavy_multiplication_x: | :star:x3 |\n| [mlfinlab](https://github.com/hudson-and-thames/mlfinlab) | open source library maintained by hudson and thames though much of the content has moved to a subscription model. Idea is to implement academic research in python code and aggregate it as a package. Sources from [Journal of financial data science](https://jfds.pm-research.com/) / [journal of portfolio management](https://jpm.pm-research.com/) / [journal of algorithmic finance](http://www.algorithmicfinance.org/) / [cambridge university press](https://www.cambridge.org/) | 2019-02-13 16:57:25 | 2021-12-01 08:04:50 | 3933.0 | :heavy_multiplication_x: | :star:x3 |\n| [Machine-Learning-for-Algorithmic-Trading-Bots-with-Python](https://github.com/PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Bots-with-Python) | code repo for [machine learning for algorithmic trading bots](https://www.packtpub.com/application-development/machine-learning-algorithmic-trading-bots-python-video) video series. Contains notebooks and deep dive using [zipline](https://github.com/quantopian/zipline) | 2018-12-06 11:35:08 | 2023-01-30 09:31:10 | 381.0 | :heavy_check_mark: | :star:x3 |\n| [Machine-Learning-for-Finance](https://github.com/PacktPublishing/Machine-Learning-for-Finance) | repo for book [machine learning for finance](https://www.packtpub.com/product/machine-learning-for-finance/9781789136364) with heavier focus on machine learning and less on finance. Topics covered including computer vision/time series/nlp/generative models (i.e. autoencoder)/reinforcement learning/debugging ml systems | 2018-03-15 06:28:00 | 2023-01-30 09:45:35 | 356.0 | :heavy_check_mark: | :star:x3 |\n| [awesome-ai-in-finance](https://github.com/georgezouq/awesome-ai-in-finance) | curated list of books/online courses/papers on AI and finance. Topics include crypto trading strategies/ta/backter etc. | 2018-08-29 02:07:02 | 2024-06-10 07:13:13 | 3411.0 | :heavy_check_mark: | :star:x3 |\n| [mosquito](https://github.com/miro-ka/mosquito) | base framework trading bot for crypto. Stores data in local mongodb instance and supports backtest and live trading on [poloniex](https://poloniex.com/) and [bittrex](https://bittrex.com/) which are 12-15th ranked crypto exchanges by volume. Leverage [talib](https://github.com/mrjbq7/ta-lib) for ta data and [plotly](https://github.com/plotly/plotly.py) for visualization | 2017-06-18 19:57:17 | 2023-04-23 21:39:31 | 261.0 | :heavy_check_mark: | :star:x3 | \n \n\n## Data Processing Techniques and Transformations ([Wiki](https://github.com/firmai/financial-machine-learning/wiki/data_processing_techniques_and_transformations))\n \n| repo | comment | created_at | last_commit | star_count | repo_status | rating |\n|:----------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------|\n| [Advanced ML](https://github.com/BlackArbsCEO/Adv_Fin_ML_Exercises) | Exercises to book [advances in financial machine learning](https://www.wiley.com/en-us/Advances+in+Financial+Machine+Learning-p-9781119482109). Relevant topics include data cleaning and outlier detection (using MAD) | 2018-04-25 17:22:40 | 2020-01-16 17:25:41 | 1698.0 | :heavy_multiplication_x: | :star:x4 |\n| [Twitter-Trends](https://github.com/Medha11/Twitter-Trends) | sentiment analysis baed on twitter data. Relevant topics include data cleaning/tokenization/data aggregation using mangodb etc. | 2017-05-22 17:07:45 | 2017-05-23 08:06:27 | 99.0 | :heavy_multiplication_x: | :star:x3 |\n| [Google-Finance-Stock-Data-Analysis](https://github.com/hpnhxxwn/Google-Finance-Stock-Data-Analysis) | data processing platform which stream data from kafka. The example shows two incoming data stream stock vs tweets and two spark streams are created to consume the kafka data then end results are stored in cassandra. Older tech stacks were used and not actively maintained. | 2017-07-23 02:59:59 | 2017-07-23 03:10:35 | 82.0 | :heavy_multiplication_x: | :star:x3 |\n| [finserv-application-blueprint](https://github.com/mapr-demos/finserv-application-blueprint) | generate streamable data using mapr converged data platfrom built mostly in java. Uses apache [zepplin](https://zeppelin.apache.org/) for web visualization | 2016-09-26 19:42:54 | 2021-06-07 17:38:13 | 84.0 | :heavy_multiplication_x: | :star:x2 |\n| [cointrader](https://github.com/timolson/cointrader) | java based platform for trading crypto. Relevant sections including using esper event queries to transform data and place orders | 2014-06-01 01:14:12 | 2022-06-21 01:03:49 | 451.0 | :heavy_multiplication_x: | :star:x2 |\n| [CryptoNets](https://github.com/microsoft/CryptoNets) | CryptoNets is a demonstration of the use of Neural-Networks over data encrypted with [Homomorphic Encryption](https://www.cs.cmu.edu/~odonnell/hits09/gentry-homomorphic-encryption.pdf). Homomorphic Encryptions allow performing operations such as addition and multiplication over data while it is encrypted. | 2019-06-02 05:48:39 | 2022-09-09 15:57:24 | 280.0 | :heavy_multiplication_x: | :star:x2 |\n| [plaid-to-gsheets](https://github.com/williamlmao/plaid-to-gsheets) | NEW | 2021-12-12 19:53:14 | 2023-02-03 15:36:49 | 71.0 | :heavy_check_mark: | |\n| [ninjabook](https://github.com/ninja-quant/ninjabook) | NEW | 2024-04-10 01:01:10 | 2024-04-21 16:42:28 | 150.0 | :heavy_check_mark: | |\n| [Major-project-list](https://github.com/ManojKumarPatnaik/Major-project-list) | NEW | 2021-09-04 11:17:44 | 2024-09-07 15:22:27 | 115.0 | :heavy_check_mark: | | \n \n\n# Portfolio Management\n## Portfolio Selection and Optimisation ([Wiki](https://github.com/firmai/financial-machine-learning/wiki/portfolio_selection_and_optimisation))\n \n| repo | comment | created_at | last_commit | star_count | repo_status | rating |\n|:--------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------|\n| [Modern Portfolio Theory](https://nbviewer.jupyter.org/github/Marigold/universal-portfolios/blob/master/modern-portfolio-theory.ipynb) | Universal portfolios; modern portfolio theory. | nan | nan | nan | :heavy_check_mark: | |\n| [Online Portfolio Selection](https://nbviewer.jupyter.org/github/paulperry/quant/blob/master/OLPS_Comparison.ipynb) | ****Comparing OLPS algorithms on a diversified set of ETFs. | nan | nan | nan | :heavy_check_mark: | |\n| [cvxportfolio](https://github.com/cvxgrp/cvxportfolio) | NEW | 2017-01-11 01:16:16 | 2024-09-27 14:09:43 | 968.0 | :heavy_check_mark: | |\n| [DeepDow](https://github.com/jankrepl/deepdow) | Portfolio optimization with deep learning. | 2020-02-02 08:46:33 | 2024-01-24 15:56:34 | 901.0 | :heavy_check_mark: | |\n| [Reinforcement Learning](https://github.com/filangel/qtrader) | Reinforcement Learning for Portfolio Management. | 2017-10-07 09:14:33 | 2018-06-26 09:22:27 | 453.0 | :heavy_multiplication_x: | |\n| [PyPortfolioOpt](https://github.com/robertmartin8/PyPortfolioOpt) | Financial portfolio optimisation, including classical efficient frontier and advanced methods. | 2018-05-29 13:30:30 | 2024-05-28 23:05:51 | 4425.0 | :heavy_check_mark: | |\n| [Distribution Characteristic Optimisation](https://github.com/VivekPa/OptimalPortfolio) | Extends classical portfolio optimisation to take the skewness and kurtosis of the distribution of market invariants into account. | 2018-11-16 12:20:25 | 2024-02-27 21:38:36 | 352.0 | :heavy_check_mark: | |\n| [Riskfolio-Lib](https://github.com/dcajasn/Riskfolio-Lib) | NEW | 2020-03-02 19:49:06 | 2024-07-29 21:51:42 | 2985.0 | :heavy_check_mark: | |\n| [riskparity.py](https://github.com/convexfi/riskparity.py) | NEW | 2019-07-13 21:30:55 | 2024-05-27 00:29:29 | 285.0 | :heavy_check_mark: | |\n| [riskparity.py](https://github.com/dppalomar/riskparity.py) | NEW | 2019-07-13 21:30:55 | 2024-05-27 00:29:29 | 285.0 | :heavy_check_mark: | |\n| [okama](https://github.com/mbk-dev/okama) | NEW | 2020-03-02 14:48:29 | 2024-07-06 13:39:25 | 205.0 | :heavy_check_mark: | |\n| [Efficient Frontier](https://github.com/tthustla/efficient_frontier/blob/master/Efficient%20_Frontier_implementation.ipynb) | Modern Portfolio Theory. | 2018-02-17 08:19:46 | 2018-02-27 13:16:57 | 184.0 | :heavy_multiplication_x: | |\n| [Policy Gradient Portfolio](https://github.com/ZhengyaoJiang/PGPortfolio) | A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem. | 2017-11-12 16:08:44 | 2021-07-30 15:03:59 | 1739.0 | :heavy_multiplication_x: | |\n| [finance-courses](https://github.com/z4ir3/finance-courses) | NEW | 2019-10-10 10:50:03 | 2023-12-11 23:09:10 | 171.0 | :heavy_check_mark: | |\n| [401K Portfolio Optimisation](https://github.com/otosman/Python-for-Finance/blob/master/Portfolio%20Optimization%20401k.ipynb) | Portfolio analyses and optimisation for 401K. | 2018-08-01 19:48:24 | 2019-09-05 11:18:56 | 17.0 | :heavy_multiplication_x: | |\n\n## Factor and Risk Analysis ([Wiki](https://github.com/firmai/financial-machine-learning/wiki/factor_and_risk_analysis))\n \n| repo | comment | created_at | last_commit | star_count | repo_status | rating |\n|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------|\n| [-1](https://github.com/Rastaman4e/-1) | NEW | nan | nan | nan | :heavy_check_mark: | |\n| [FEEDN](https://github.com/THEFEASTCOIN/FEEDN) | NEW | nan | nan | nan | :heavy_check_mark: | |\n| [factor-risk-parity](https://github.com/tngaspar/factor-risk-parity) | NEW | 2020-04-05 17:05:40 | 2022-09-18 14:42:03 | 9.0 | :heavy_multiplication_x: | |\n| [SafetyAndTrade](https://github.com/vrdcas/SafetyAndTrade) | NEW | 2020-04-11 20:18:03 | 2020-04-12 17:00:36 | 9.0 | :heavy_multiplication_x: | |\n| [VaR GaN](https://github.com/hamaadshah/market_risk_gan_keras) | Estimate Value-at-Risk for market risk management using Keras and TensorFlow. | 2018-08-06 16:09:44 | 2022-06-24 19:05:55 | 84.0 | :heavy_multiplication_x: | |\n| [Liberty-House-Club-Whitepaper](https://github.com/realbeeed/Liberty-House-Club-Whitepaper) | NEW | 2022-04-22 08:25:39 | 2022-04-22 08:27:24 | 8.0 | :heavy_check_mark: | |\n| [Various Risk Measures](https://github.com/Jorgencr/Alternative-and-Responsible-Investments/blob/master/Final_masterfile.ipynb) | Risk measures and factors for alternative and responsible investments. | 2017-08-07 14:44:32 | 2017-08-08 22:52:11 | 8.0 | :heavy_multiplication_x: | |\n| [Factor Analysis](https://github.com/garvit-kudesia91/factor_analysis/blob/master/Factor%20Analysis%20of%20Mutual%20Funds.ipynb) | Factor analysis for mutual funds. | 2018-03-13 07:39:20 | 2018-03-13 07:42:36 | 8.0 | :heavy_multiplication_x: | |\n| [one_factor_Hull_White_python](https://github.com/open-source-modelling/one_factor_Hull_White_python) | NEW | 2023-01-29 17:45:51 | 2024-03-24 19:48:04 | 8.0 | :heavy_check_mark: | |\n| [whitepaper](https://github.com/peacockbsc/whitepaper) | NEW | 2021-07-31 23:39:41 | 2022-08-25 09:52:38 | 7.0 | :heavy_multiplication_x: | |\n| [An-Analysis-of-PCA-and-Autoencoder-Generated-Factors-in-Predicting-SP500-Returns](https://github.com/Leo8216/An-Analysis-of-PCA-and-Autoencoder-Generated-Factors-in-Predicting-SP500-Returns) | NEW | 2020-01-18 00:53:46 | 2020-01-18 03:59:36 | 7.0 | :heavy_multiplication_x: | |\n| [The-Reason-Why-Everyone-Love-Mining-Tools](https://github.com/dcstechnoweb/The-Reason-Why-Everyone-Love-Mining-Tools) | NEW | 2022-06-13 05:11:36 | 2022-06-13 05:12:52 | 7.0 | :heavy_multiplication_x: | |\n| [-L-](https://github.com/jettbrains/-L-) | NEW | 2019-10-28 21:50:26 | 2019-10-28 21:51:19 | 67.0 | :heavy_multiplication_x: | |\n| [Bitcoin_Since_Pandemic](https://github.com/at-tan/Bitcoin_Since_Pandemic) | NEW | 2022-02-12 11:12:37 | 2022-02-12 17:46:45 | 6.0 | :heavy_multiplication_x: | |\n| [Pyfolio](https://github.com/quantopian/pyfolio) | Portfolio and risk analytics in Python. | 2015-06-01 15:31:39 | 2020-02-28 17:30:19 | 5631.0 | :heavy_multiplication_x: | |\n\n# Techniques\n## Unsupervised ([Wiki](https://github.com/firmai/financial-machine-learning/wiki/unsupervised))\n \n| repo | comment | created_at | last_commit | star_count | repo_status | rating |\n|:-------------------------------------------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------|\n| [PCA Pairs Trading](https://github.com/joelQF/quant-finance/tree/master/Artificial_IntelIigence_for_Trading) | PCA, Factor Returns, and trading strategies. | nan | nan | nan | :heavy_check_mark: | |\n| [Eigen-Portfolio](https://github.com/Gustrigos/Eigen-Portfolio) | NEW | 2018-09-05 05:29:18 | 2020-04-09 21:40:04 | 67.0 | :heavy_multiplication_x: | |\n| [hmm_market_behavior](https://github.com/lamres/hmm_market_behavior) | NEW | 2019-09-08 17:37:39 | 2020-05-10 14:36:03 | 40.0 | :heavy_multiplication_x: | |\n| [VRA Stock Embedding](https://github.com/ml-hongkong/stock2vec) | Variational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history. | 2017-06-21 04:47:14 | 2017-06-21 04:51:13 | 38.0 | :heavy_multiplication_x: | |\n| [AnomalyDetectionOnRisk](https://github.com/SimonWesterlindVPD/AnomalyDetectionOnRisk) | NEW | 2018-05-31 15:53:02 | 2018-05-31 16:18:28 | 21.0 | :heavy_multiplication_x: | |\n| [Pairs Trading](https://github.com/marketneutral/pairs-trading-with-ML/blob/master/Pairs%2BTrading%2Bwith%2BMachine%2BLearning.ipynb) | Finding pairs with cluster analysis. | 2017-09-05 19:19:19 | 2017-09-27 20:42:14 | 203.0 | :heavy_multiplication_x: | |\n| [all-classification-templetes-for-ML](https://github.com/sayantann11/all-classification-templetes-for-ML) | NEW | 2020-05-05 10:28:52 | 2024-05-15 11:46:23 | 198.0 | :heavy_check_mark: | |\n| [Credit-Card-Fraud-Detection](https://github.com/sharmaroshan/Credit-Card-Fraud-Detection) | NEW | 2019-03-31 05:33:17 | 2019-03-31 05:38:43 | 16.0 | :heavy_multiplication_x: | |\n| [Industry Clustering](https://github.com/SeanMcOwen/FinanceAndPython.com-ClusteringIndustries) | Clustering of industries. | 2017-07-21 02:12:51 | 2017-07-23 02:53:37 | 14.0 | :heavy_multiplication_x: | |\n| [Industry Clustering](https://github.com/SeanMcOwen/FinanceAndPython.com-ClusteringIndustries) | Project to cluster industries according to financial attributes. | 2017-07-21 02:12:51 | 2017-07-23 02:53:37 | 14.0 | :heavy_multiplication_x: | |\n| [tableQA-Chinese](https://github.com/svjack/tableQA-Chinese) | NEW | 2021-03-16 14:54:53 | 2023-04-20 06:20:56 | 12.0 | :heavy_check_mark: | |\n| [Fund Clusters](https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb) | Data exploration of fund clusters. | 2018-04-16 22:18:55 | 2018-06-07 22:01:32 | 11.0 | :heavy_multiplication_x: | |\n| [Stock_Support_Resistance_ML](https://github.com/judopro/Stock_Support_Resistance_ML) | NEW | 2019-12-22 20:25:48 | 2021-05-02 04:25:21 | 100.0 | :heavy_multiplication_x: | |\n| [Learning-Technical-Trading](https://github.com/NJ-Murphy/Learning-Technical-Trading) | NEW | 2019-03-25 11:47:49 | 2020-04-08 12:39:53 | 10.0 | :heavy_multiplication_x: | |\n\n\n## Textual ([Wiki](https://github.com/firmai/financial-machine-learning/wiki/textual))\n \n| repo | comment | created_at | last_commit | star_count | repo_status | rating |\n|:--------------------------------------------------------------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------|\n| [NLP](https://github.com/toamitesh/NLPinFinance) | This project assembles a lot of NLP operations needed for finance domain. | nan | nan | nan | :heavy_check_mark: | |\n| [NLP Event](https://github.com/yuriak/DLQuant) | Applying Deep Learning and NLP in Quantitative Trading. | 2018-07-02 23:50:52 | 2019-01-31 14:08:20 | 99.0 | :heavy_multiplication_x: | |\n| [Financial Sentiment Analysis](https://github.com/EricHe98/Financial-Statements-Text-Analysis) | Sentiment, distance and proportion analysis for trading signals. | 2017-06-23 00:05:49 | 2023-05-08 00:58:50 | 94.0 | :heavy_check_mark: | |\n| [Cornucopia-LLaMA-Fin-Chinese](https://github.com/jerry1993-tech/Cornucopia-LLaMA-Fin-Chinese) | NEW | 2023-04-30 06:11:18 | 2023-06-30 07:52:13 | 582.0 | :heavy_check_mark: | |\n| [awesome-financial-nlp](https://github.com/icoxfog417/awesome-financial-nlp) | NEW | 2019-10-03 03:53:20 | 2020-02-01 08:28:16 | 402.0 | :heavy_multiplication_x: | |\n| [Buzzwords](https://github.com/swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-Funds) | Return performance and mutual fund selection. | 2018-02-04 21:51:16 | 2018-02-04 21:57:09 | 4.0 | :heavy_multiplication_x: | |\n| [FinNLP-Progress](https://github.com/YangLinyi/FinNLP-Progress) | NEW | 2020-05-21 09:59:56 | 2022-04-18 09:21:22 | 390.0 | :heavy_multiplication_x: | |\n| [news-emotion](https://github.com/dongyuanxin/news-emotion) | NEW | 2017-09-14 02:59:03 | 2018-06-11 13:47:51 | 331.0 | :heavy_multiplication_x: | |\n| [financial-news-dataset](https://github.com/philipperemy/financial-news-dataset) | NEW | 2016-08-23 13:29:07 | 2023-03-09 06:53:26 | 223.0 | :heavy_check_mark: | |\n| [FinBERT](https://github.com/psnonis/FinBERT) | NEW | 2019-07-09 16:34:27 | 2020-05-19 02:02:20 | 197.0 | :heavy_multiplication_x: | |\n| [Accounting Anomalies](https://github.com/GitiHubi/deepAI/blob/master/GTC_2018_Lab-solutions.ipynb) | Using deep-learning frameworks to identify accounting anomalies. | 2017-05-24 12:36:38 | 2019-08-07 21:47:08 | 196.0 | :heavy_multiplication_x: | |\n| [fin-sight](https://github.com/vishwasg217/fin-sight) | NEW | 2023-09-06 13:01:39 | 2024-04-22 07:21:27 | 195.0 | :heavy_check_mark: | |\n| [finsight](https://github.com/vishwasg217/finsight) | NEW | 2023-09-06 13:01:39 | 2024-04-22 07:21:27 | 189.0 | :heavy_check_mark: | |\n| [Financial Statement Sentiment](https://github.com/MAydogdu/TextualAnalysis) | Extracting sentiment from financial statements using neural networks. | 2018-06-04 20:54:14 | 2018-06-04 20:56:02 | 18.0 | :heavy_multiplication_x: | |\n| [BDCI2019-Negative_Finance_Info_Judge](https://github.com/A-Rain/BDCI2019-Negative_Finance_Info_Judge) | NEW | 2019-12-27 03:49:31 | 2020-12-04 03:38:57 | 153.0 | :heavy_multiplication_x: | |\n\n# Other Assets\n## Derivatives and Hedging ([Wiki](https://github.com/firmai/financial-machine-learning/wiki/derivatives_and_hedging))\n \n| repo | comment | created_at | last_commit | star_count | repo_status | rating |\n|:-----------------------------------------------------------------------------------------------------------------------------------------|:--------------------------------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------|\n| [Options](https://github.com/PHBS/2018.M1.ASP/tree/master/py) | Black Scholes and Copula. | nan | nan | nan | :heavy_check_mark: | |\n| [injective-helix-demo](https://github.com/InjectiveLabs/injective-helix-demo) | NEW | 2021-04-12 13:36:25 | 2024-07-15 17:00:25 | 99.0 | :heavy_check_mark: | |\n| [optopsy](https://github.com/michaelchu/optopsy) | NEW | 2017-09-17 01:49:54 | 2024-07-06 19:33:10 | 978.0 | :heavy_check_mark: | |\n| [akshare](https://github.com/jindaxiang/akshare) | NEW | 2019-10-01 07:34:12 | 2024-09-28 06:49:57 | 9042.0 | :heavy_check_mark: | |\n| [AlgorithmicTrading](https://github.com/JerBouma/AlgorithmicTrading) | NEW | 2019-03-14 09:33:37 | 2023-08-13 07:15:09 | 878.0 | :heavy_check_mark: | |\n| [lumibot](https://github.com/Lumiwealth/lumibot) | NEW | 2020-09-10 10:00:16 | 2024-09-27 04:30:14 | 877.0 | :heavy_check_mark: | |\n| [Strata](https://github.com/OpenGamma/Strata) | NEW | 2014-06-16 11:45:55 | 2024-08-28 16:12:28 | 842.0 | :heavy_check_mark: | |\n| [Derman](https://github.com/rstreppa/valuation-convertibles-Goldman1994/blob/master/ConvertibleBond_Goldman1994_Derman.ipynb) | Binomial tree for American call. | 2018-05-18 18:08:16 | 2018-09-21 19:59:01 | 8.0 | :heavy_multiplication_x: | |\n| [Options-Trading-Strategies-in-Python](https://github.com/PyPatel/Options-Trading-Strategies-in-Python) | NEW | 2017-08-30 06:00:15 | 2019-08-21 15:47:57 | 799.0 | :heavy_multiplication_x: | |\n| [gs-quant](https://github.com/goldmansachs/gs-quant) | NEW | 2018-12-14 21:10:40 | 2024-09-23 11:01:29 | 7582.0 | :heavy_check_mark: | |\n| [StockSharp](https://github.com/StockSharp/StockSharp) | NEW | 2014-12-08 07:53:44 | 2024-09-23 21:13:42 | 7097.0 | :heavy_check_mark: | |\n| [optlib](https://github.com/dbrojas/optlib) | NEW | 2020-08-17 00:30:14 | 2022-11-18 19:12:54 | 644.0 | :heavy_check_mark: | |\n| [algotrader](https://github.com/torreyleonard/algotrader) | NEW | 2018-04-10 02:31:26 | 2020-08-27 08:16:44 | 635.0 | :heavy_multiplication_x: | |\n| [trading-server](https://github.com/s-brez/trading-server) | NEW | 2019-03-05 03:06:19 | 2022-11-17 01:42:13 | 619.0 | :heavy_check_mark: | |\n| [Delta Hedging](https://github.com/RobinsonGarcia/delta-hedging) | Advanced derivatives. | 2018-03-02 23:53:53 | 2018-07-17 23:32:23 | 6.0 | :heavy_multiplication_x: | |\n\n## Fixed Income ([Wiki](https://github.com/firmai/financial-machine-learning/wiki/fixed_income))\n \n| repo | comment | created_at | last_commit | star_count | repo_status | rating |\n|:-----------------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------|\n| [Binomial Tree](https://github.com/hy-lei/math-finance-exercise) | Utility functions in fixed income securities. | 2019-02-02 08:44:14 | 2019-05-03 17:16:52 | 8.0 | :heavy_multiplication_x: | |\n| [Vasicek](https://github.com/RobinsonGarcia/fixed-income/blob/master/2.0%20Vasicek%20-%20example.ipynb) | Bootstrapping and interpolation. | 2018-07-18 19:26:54 | 2018-07-18 19:34:48 | 6.0 | :heavy_multiplication_x: | |\n| [neurons](https://github.com/Aryia-Behroziuan/neurons) | NEW | 2020-11-07 12:17:04 | 2020-11-07 12:17:06 | 55.0 | :heavy_multiplication_x: | |\n| [R-fixedincome](https://github.com/wilsonfreitas/R-fixedincome) | NEW | 2013-09-16 01:10:50 | 2023-06-27 08:10:20 | 51.0 | :heavy_check_mark: | |\n| [rating_history](https://github.com/govwiki/rating_history) | NEW | 2017-11-23 22:52:14 | 2023-06-29 22:16:57 | 47.0 | :heavy_check_mark: | |\n| [TRACE-corporate-bond-processing](https://github.com/Alexander-M-Dickerson/TRACE-corporate-bond-processing) | NEW | 2020-12-18 10:20:12 | 2024-07-18 02:33:32 | 43.0 | :heavy_check_mark: | |\n| [augmented-finance-protocol](https://github.com/augmented-finance/augmented-finance-protocol) | NEW | 2021-03-27 11:01:43 | 2022-02-16 15:58:35 | 38.0 | :heavy_multiplication_x: | |\n| [market-data](https://github.com/kriasoft/market-data) | NEW | 2012-12-07 13:42:48 | 2012-12-15 12:10:06 | 35.0 | :heavy_multiplication_x: | |\n| [DROP-Fixed-Income](https://github.com/lakshmiDRIP/DROP-Fixed-Income) | NEW | 2017-08-10 20:58:18 | 2018-09-26 19:21:02 | 28.0 | :heavy_multiplication_x: | |\n| [woe](https://github.com/boredbird/woe) | NEW | 2017-09-11 07:15:04 | 2018-03-01 10:45:40 | 256.0 | :heavy_multiplication_x: | |\n| [punk.protocol](https://github.com/PunkFinance/punk.protocol) | NEW | 2021-04-29 08:39:42 | 2021-08-13 11:53:11 | 23.0 | :heavy_multiplication_x: | |\n| [fixed-income](https://github.com/daniel-m-campos/fixed-income) | NEW | 2017-09-17 05:23:47 | 2020-12-18 01:35:41 | 21.0 | :heavy_multiplication_x: | |\n| [sagemaker-corporate-credit-rating](https://github.com/awslabs/sagemaker-corporate-credit-rating) | NEW | 2021-11-12 00:49:14 | 2022-12-20 17:11:03 | 20.0 | :heavy_check_mark: | |\n| [Corporate Bonds](https://github.com/ishank011/gs-quantify-bond-prediction) | Predicting the buying and selling volume of the corporate bonds. | 2017-09-27 19:57:13 | 2017-09-27 20:00:29 | 19.0 | :heavy_multiplication_x: | |\n| [pyratings](https://github.com/hsbc/pyratings) | NEW | 2022-03-24 14:51:59 | 2024-06-18 07:03:07 | 19.0 | :heavy_check_mark: | |\n\n## Alternative Finance ([Wiki](https://github.com/firmai/financial-machine-learning/wiki/alternative_finance))\n \n| repo | comment | created_at | last_commit | star_count | repo_status | rating |\n|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------|\n| [Venture Capital NN](https://github.com/tr7200/National-Culture-and-Venture-Capital-Monitoring) | Cox-PH neural network predictions for VC/innovations finance research. | nan | nan | nan | :heavy_check_mark: | |\n| [EDMarketConnector](https://github.com/EDCD/EDMarketConnector) | NEW | 2015-06-02 19:17:34 | 2024-09-24 23:28:42 | 988.0 | :heavy_check_mark: | |\n| [yahoofinancials](https://github.com/JECSand/yahoofinancials) | NEW | 2017-10-22 03:10:57 | 2023-12-17 07:54:07 | 910.0 | :heavy_check_mark: | |\n| [Watch Valuation](https://github.com/alporter08/Luxury-Watch-Valuation/blob/master/Luxury-Watch-Valuation.ipynb) | Analysis of luxury watch data to classify whether a certain model is likely to be over-or undervalued. | 2017-02-08 18:39:29 | 2017-04-27 22:55:55 | 9.0 | :heavy_multiplication_x: | |\n| [Kiva Crowdfunding](https://github.com/CJL89/Kiva-Crowdfunding/blob/master/Kiva%20Crowdfunding.ipynb) | Exploratory data analysis. | 2018-02-27 16:46:02 | 2019-02-13 00:15:27 | 7.0 | :heavy_multiplication_x: | |\n| [Venture Capital](https://github.com/julian-chan/etothex) | Insight into a new founder to make data-driven investment decisions. | 2017-12-04 08:59:44 | 2017-12-13 05:35:27 | 7.0 | :heavy_multiplication_x: | |\n| [botupdate](https://github.com/botupdate/botupdate) | NEW | 2019-07-01 20:22:44 | 2020-10-29 02:31:17 | 582.0 | :heavy_check_mark: | |\n| [VC OLS](https://github.com/fionawhitefield/venture-capital-ols/blob/master/sec_project.ipynb) | VC regression. | 2018-03-29 23:31:13 | 2018-03-29 23:33:19 | 4.0 | :heavy_multiplication_x: | |\n| [awesome-systematic-trading](https://github.com/edarchimbaud/awesome-systematic-trading) | NEW | 2022-02-05 20:48:52 | 2024-08-16 12:06:38 | 3783.0 | :heavy_check_mark: | |\n| [pitch_deck](https://github.com/joelparkerhenderson/pitch_deck) | NEW | 2016-09-17 01:30:26 | 2024-05-16 16:23:12 | 343.0 | :heavy_check_mark: | |\n| [pitch-deck](https://github.com/joelparkerhenderson/pitch-deck) | NEW | 2016-09-17 01:30:26 | 2024-05-16 16:23:12 | 343.0 | :heavy_check_mark: | |\n| [HomeHarvest](https://github.com/ZacharyHampton/HomeHarvest) | NEW | 2023-09-15 19:29:01 | 2024-09-06 22:49:07 | 314.0 | :heavy_check_mark: | |\n| [Private Equity](https://github.com/TheVinhLuong102/ChicagoBooth-EntrepreneurialFinancePrivateEquity/blob/master/RightNow%20Technologies/RightNow%20Technologies.ipynb) | Valuation models. | 2016-01-27 21:13:33 | 2016-03-14 20:03:52 | 22.0 | :heavy_multiplication_x: | |\n| [Art Valuation](https://github.com/ahmedhosny/theGreenCanvas/blob/gh-pages/ImageProcessing1210.ipynb) | Art evaluation analytics. | 2014-12-11 00:25:39 | 2014-12-12 21:25:46 | 19.0 | :heavy_multiplication_x: | |\n| [Blockchain](https://github.com/nud3l/dInvest) | Repository for distributed autonomous investment banking. | 2016-09-05 19:12:40 | 2017-04-24 10:48:56 | 18.0 | :heavy_multiplication_x: | |\n\n# Extended Research ([Wiki](https://github.com/firmai/financial-machine-learning/wiki/extended_research))\n \n| repo | comment | created_at | last_commit | star_count | repo_status | rating |\n|:-------------------------------------------------------------------------------------------------------|:--------------------------------------------------------------------------------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------|\n| [Real Estate Property Fraud](https://github.com/aviroop1/Real_Estate_Property_Fraud) | Unsupervised fraud detection model that can identify likely candidates of fraud. | nan | nan | nan | :heavy_check_mark: | |\n| [Commodity](https://github.com/felipessalvatore/fin2vec/blob/master/src/Commodity2BR.ipynb) | Commodity influence over Brazilian stocks. | nan | nan | nan | :heavy_check_mark: | |\n| [HFT-Orderbook](https://github.com/Crypto-toolbox/HFT-Orderbook) | NEW | 2017-07-26 08:42:19 | 2022-02-18 20:01:44 | 991.0 | :heavy_multiplication_x: | |\n| [Awesome-AI-for-cybersecurity](https://github.com/Billy1900/Awesome-AI-for-cybersecurity) | NEW | 2021-09-20 04:44:45 | 2023-10-03 14:25:10 | 98.0 | :heavy_check_mark: | |\n| [crypto-database](https://github.com/ivopetiz/crypto-database) | NEW | 2018-02-22 21:34:11 | 2019-10-04 13:06:18 | 98.0 | :heavy_multiplication_x: | |\n| [Mathematical Finance](https://github.com/Auquan/Tutorials) | Notebooks for math and financial tutorials. | 2017-01-21 11:24:18 | 2020-08-01 17:03:32 | 974.0 | :heavy_multiplication_x: | |\n| [VPIN_HFT](https://github.com/theopenstreet/VPIN_HFT) | NEW | 2017-12-12 15:29:33 | 2017-12-12 17:32:54 | 97.0 | :heavy_multiplication_x: | |\n| [freqtrade_bot](https://github.com/michael-fourie/freqtrade_bot) | NEW | 2020-12-21 00:14:25 | 2021-01-07 19:52:54 | 96.0 | :heavy_multiplication_x: | |\n| [BERT4ETH](https://github.com/git-disl/BERT4ETH) | NEW | 2023-02-05 20:36:20 | 2024-06-21 17:45:01 | 96.0 | :heavy_check_mark: | |\n| [PythonMatchingEngine](https://github.com/Surbeivol/PythonMatchingEngine) | NEW | 2019-05-16 12:06:21 | 2021-12-30 10:17:35 | 95.0 | :heavy_multiplication_x: | |\n| [LSTM-FX](https://github.com/AdamTibi/LSTM-FX) | NEW | 2020-09-29 21:30:20 | 2020-09-29 23:15:18 | 95.0 | :heavy_multiplication_x: | |\n| [go-quantcup](https://github.com/rdingwall/go-quantcup) | NEW | 2015-02-04 10:33:12 | 2015-06-11 12:50:09 | 94.0 | :heavy_multiplication_x: | |\n| [Quant-Developers-Resources](https://github.com/cybergeekgyan/Quant-Developers-Resources) | NEW | 2023-10-16 18:04:31 | 2024-07-28 08:06:18 | 94.0 | :heavy_check_mark: | |\n| [FraudDetection-Microservices](https://github.com/melofred/FraudDetection-Microservices) | NEW | 2016-06-08 23:24:21 | 2017-01-18 17:52:01 | 93.0 | :heavy_multiplication_x: | |\n| [HFT-Pairs-Trading](https://github.com/sapphire921/HFT-Pairs-Trading) | NEW | 2018-05-03 22:36:16 | 2019-02-27 17:41:22 | 93.0 | :heavy_multiplication_x: | |\n\n# Courses ([Wiki](https://github.com/firmai/financial-machine-learning/wiki/courses))\n \n| repo | comment | created_at | last_commit | star_count | repo_status | rating |\n|:----------------------------------------------------------------------------------------------------------------------|:----------------------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------|\n| [mlcourse.ai](https://github.com/Yorko/mlcourse.ai) | NEW | 2017-02-27 08:32:20 | 2024-08-25 08:08:31 | 9695.0 | :heavy_check_mark: | |\n| [datascience-box](https://github.com/rstudio-education/datascience-box) | NEW | 2017-12-29 22:16:17 | 2024-08-15 22:45:51 | 956.0 | :heavy_check_mark: | |\n| [machine-learning-zoomcamp](https://github.com/DataTalksClub/machine-learning-zoomcamp) | NEW | 2020-04-17 04:29:23 | 2024-09-24 09:02:07 | 9337.0 | :heavy_check_mark: | |\n| [datasci_course_materials](https://github.com/uwescience/datasci_course_materials) | NEW | 2013-04-12 05:54:36 | 2017-03-21 19:21:02 | 918.0 | :heavy_multiplication_x: | |\n| [ml-mipt](https://github.com/girafe-ai/ml-mipt) | NEW | 2022-09-01 16:16:05 | 2022-09-02 08:44:48 | 9.0 | :heavy_multiplication_x: | |\n| [ciml](https://github.com/hal3/ciml) | NEW | 2015-08-12 19:26:00 | 2017-01-20 16:24:19 | 888.0 | :heavy_multiplication_x: | |\n| [cornell-cs5785-applied-ml](https://github.com/kuleshov/cornell-cs5785-applied-ml) | NEW | 2021-03-26 06:33:58 | 2021-09-02 00:34:55 | 874.0 | :heavy_multiplication_x: | |\n| [ml-course-msu](https://github.com/esokolov/ml-course-msu) | NEW | 2015-09-11 08:51:24 | 2018-05-07 15:40:56 | 871.0 | :heavy_multiplication_x: | |\n| [Octave](https://github.com/schneems/Octave) | NEW | 2011-10-24 23:50:52 | 2016-07-08 20:45:40 | 824.0 | :heavy_multiplication_x: | |\n| [machine_learning_with_python_jadi](https://github.com/jadijadi/machine_learning_with_python_jadi) | NEW | 2021-09-20 08:19:48 | 2024-08-16 05:12:53 | 801.0 | :heavy_check_mark: | |\n| [DAT4](https://github.com/justmarkham/DAT4) | NEW | 2014-12-10 19:38:29 | 2021-02-15 23:26:27 | 794.0 | :heavy_multiplication_x: | |\n| [deploying-machine-learning-models](https://github.com/trainindata/deploying-machine-learning-models) | NEW | 2019-01-09 20:30:46 | 2023-04-19 17:15:38 | 790.0 | :heavy_check_mark: | |\n| [Algo Trading](https://github.com/JCreeks/Machine-Learning-in-Finance/tree/master/0_Intro_to_Algo_Trading) | Intro to algo trading. | 2017-10-29 20:34:54 | 2019-01-22 06:56:08 | 79.0 | :heavy_multiplication_x: | |\n| [master](https://github.com/ML-course/master) | NEW | 2017-02-04 22:44:35 | 2024-04-01 10:09:20 | 784.0 | :heavy_check_mark: | |\n| [DataScienceSpCourseNotes](https://github.com/sux13/DataScienceSpCourseNotes) | NEW | 2015-03-09 00:51:32 | 2016-02-16 06:12:54 | 764.0 | :heavy_multiplication_x: | |\n\n# Data ([Wiki](https://github.com/firmai/financial-machine-learning/wiki/data))\n \n| repo | comment | created_at | last_commit | star_count | repo_status | rating |\n|:---------------------------------------------------------------------------------------------------|:---------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------|\n| [Tools-termux](https://github.com/Taoviqinvicible/Tools-termux) | NEW | nan | nan | nan | :heavy_check_mark: | |\n| [Rating Industries](http://www.ratingshistory.info/) | nan | nan | nan | nan | :heavy_check_mark: | |\n| [http://finance.yahoo.com/](http://finance.yahoo.com/) | nan | nan | nan | nan | :heavy_check_mark: | |\n| [https://fred.stlouisfed.org/](https://fred.stlouisfed.org/) | nan | nan | nan | nan | :heavy_check_mark: | |\n| [https://stooq.com](https://stooq.com) | nan | nan | nan | nan | :heavy_check_mark: | |\n| [Capital Markets Data](https://www.capitalmarketsdata.com/) | nan | nan | nan | nan | :heavy_check_mark: | |\n| [Financial Corporate](http://raw.rutgers.edu/Corporate%20Financial%20Data.html) | nan | nan | nan | nan | :heavy_check_mark: | |\n| [IRS](http://social-metrics.org/sox/) | nan | nan | nan | nan | :heavy_check_mark: | |\n| [Non-financial Corporate](http://raw.rutgers.edu/Non-Financial%20Corporate%20Data.html) | nan | nan | nan | nan | :heavy_check_mark: | |\n| [redesigned-pancake](https://github.com/Sfedfcv/redesigned-pancake) | NEW | nan | nan | nan | :heavy_check_mark: | |\n| [PyPOTS](https://github.com/WenjieDu/PyPOTS) | NEW | 2022-03-29 14:22:47 | 2024-09-26 17:17:28 | 997.0 | :heavy_check_mark: | |\n| [aeon](https://github.com/aeon-toolkit/aeon) | NEW | 2022-12-20 12:44:09 | 2024-09-27 18:03:06 | 976.0 | :heavy_check_mark: | |\n| [hypercube](https://github.com/hypercube-lab/hypercube) | NEW | 2021-09-08 06:47:07 | 2021-10-14 13:44:17 | 975.0 | :heavy_multiplication_x: | |\n| [Deedle](https://github.com/fslaborg/Deedle) | NEW | 2013-09-17 18:53:34 | 2023-01-17 21:18:55 | 937.0 | :heavy_check_mark: | |\n| [BitcoinExchangeFH](https://github.com/BitcoinExchangeFH/BitcoinExchangeFH) | NEW | 2016-10-24 13:30:31 | 2022-12-28 17:07:41 | 936.0 | :heavy_check_mark: | |\n\n# Colleges, Centers and Departments ([Wiki](https://github.com/firmai/financial-machine-learning/wiki/colleges_centers_and_departments))\n \n| repo | comment | created_at | last_commit | star_count | repo_status | rating |\n|:-----------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------|:------------------------|:-------------------------|:------------------------|:------------------------------|:--------------------|\n| [NYU FRE](https://engineering.nyu.edu/academics/departments/finance-and-risk-engineering) | Finance and Risk Engineering (NYU Tandon) | nan | nan | nan | :heavy_check_mark: | |\n| [Oxford Man](https://www.oxford-man.ox.ac.uk/) | Oxford-Man Institute of Quantitative Finance | nan | nan | nan | :heavy_check_mark: | |\n| [Berkeley Lab CIFT](https://cs.lbl.gov/news-media/news/news-archive/2010/berkeley-lab-launches-new-center-for-innovative-financial-technology/) | nan | nan | nan | nan | :heavy_check_mark: | |\n| [Cornell University](https://www.cornell.edu/) | nan | nan | nan | nan | :heavy_check_mark: | |\n| [NYU Courant](https://cims.nyu.edu/) | Courant Institute of Mathematical Sciences, New York University | nan | nan | nan | :heavy_check_mark: | |\n| [Stanford Advanced Financial Technologies](https://fintech.stanford.edu/) | Stanford Advanced Financial Technologies Laboratory | nan | nan | nan | :heavy_check_mark: | |\n" }, { "path": "conf.py", "content": "import os\nPROJECT_ROOT_DIR = os.path.dirname(os.path.abspath(__file__))\n" }, { "path": "generated_wiki/__init__.py", "content": "" }, { "path": "generated_wiki/alternative_finance.md", "content": "| repo | comment | created_at | last_commit | star_count | repo_status | rating |\n|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------|\n| [Venture Capital NN](https://github.com/tr7200/National-Culture-and-Venture-Capital-Monitoring) | Cox-PH neural network predictions for VC/innovations finance research. | nan | nan | nan | :heavy_check_mark: | |\n| [EDMarketConnector](https://github.com/EDCD/EDMarketConnector) | NEW | 2015-06-02 19:17:34 | 2024-09-24 23:28:42 | 988.0 | :heavy_check_mark: | |\n| [yahoofinancials](https://github.com/JECSand/yahoofinancials) | NEW | 2017-10-22 03:10:57 | 2023-12-17 07:54:07 | 910.0 | :heavy_check_mark: | |\n| [Watch Valuation](https://github.com/alporter08/Luxury-Watch-Valuation/blob/master/Luxury-Watch-Valuation.ipynb) | Analysis of luxury watch data to classify whether a certain model is likely to be over-or undervalued. | 2017-02-08 18:39:29 | 2017-04-27 22:55:55 | 9.0 | :heavy_multiplication_x: | |\n| [Kiva Crowdfunding](https://github.com/CJL89/Kiva-Crowdfunding/blob/master/Kiva%20Crowdfunding.ipynb) | Exploratory data analysis. | 2018-02-27 16:46:02 | 2019-02-13 00:15:27 | 7.0 | :heavy_multiplication_x: | |\n| [Venture Capital](https://github.com/julian-chan/etothex) | Insight into a new founder to make data-driven investment decisions. | 2017-12-04 08:59:44 | 2017-12-13 05:35:27 | 7.0 | :heavy_multiplication_x: | |\n| [botupdate](https://github.com/botupdate/botupdate) | NEW | 2019-07-01 20:22:44 | 2020-10-29 02:31:17 | 582.0 | :heavy_check_mark: | |\n| [VC OLS](https://github.com/fionawhitefield/venture-capital-ols/blob/master/sec_project.ipynb) | VC regression. | 2018-03-29 23:31:13 | 2018-03-29 23:33:19 | 4.0 | :heavy_multiplication_x: | |\n| [awesome-systematic-trading](https://github.com/edarchimbaud/awesome-systematic-trading) | NEW | 2022-02-05 20:48:52 | 2024-08-16 12:06:38 | 3783.0 | :heavy_check_mark: | |\n| [pitch_deck](https://github.com/joelparkerhenderson/pitch_deck) | NEW | 2016-09-17 01:30:26 | 2024-05-16 16:23:12 | 343.0 | :heavy_check_mark: | |\n| [pitch-deck](https://github.com/joelparkerhenderson/pitch-deck) | NEW | 2016-09-17 01:30:26 | 2024-05-16 16:23:12 | 343.0 | :heavy_check_mark: | |\n| [HomeHarvest](https://github.com/ZacharyHampton/HomeHarvest) | NEW | 2023-09-15 19:29:01 | 2024-09-06 22:49:07 | 314.0 | :heavy_check_mark: | |\n| [Private Equity](https://github.com/TheVinhLuong102/ChicagoBooth-EntrepreneurialFinancePrivateEquity/blob/master/RightNow%20Technologies/RightNow%20Technologies.ipynb) | Valuation models. | 2016-01-27 21:13:33 | 2016-03-14 20:03:52 | 22.0 | :heavy_multiplication_x: | |\n| [Art Valuation](https://github.com/ahmedhosny/theGreenCanvas/blob/gh-pages/ImageProcessing1210.ipynb) | Art evaluation analytics. | 2014-12-11 00:25:39 | 2014-12-12 21:25:46 | 19.0 | :heavy_multiplication_x: | |\n| [Blockchain](https://github.com/nud3l/dInvest) | Repository for distributed autonomous investment banking. | 2016-09-05 19:12:40 | 2017-04-24 10:48:56 | 18.0 | :heavy_multiplication_x: | |\n| [realtime-forex-crypto-stock-tick-finance-websocket-api](https://github.com/alltick/realtime-forex-crypto-stock-tick-finance-websocket-api) | NEW | 2024-03-14 06:07:55 | 2024-09-18 10:16:09 | 147.0 | :heavy_check_mark: | |\n| [cot_reports](https://github.com/NDelventhal/cot_reports) | NEW | 2020-11-16 19:16:18 | 2023-12-29 23:14:53 | 120.0 | :heavy_check_mark: | |\n| [notebooks](https://github.com/tradingeconomics/notebooks) | NEW | 2020-11-13 13:39:37 | 2023-07-20 12:27:16 | 104.0 | :heavy_check_mark: | |" }, { "path": "generated_wiki/colleges_centers_and_departments.md", "content": "| repo | comment | created_at | last_commit | star_count | repo_status | rating |\n|:-----------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------|:------------------------|:-------------------------|:------------------------|:------------------------------|:--------------------|\n| [NYU FRE](https://engineering.nyu.edu/academics/departments/finance-and-risk-engineering) | Finance and Risk Engineering (NYU Tandon) | nan | nan | nan | :heavy_check_mark: | |\n| [Oxford Man](https://www.oxford-man.ox.ac.uk/) | Oxford-Man Institute of Quantitative Finance | nan | nan | nan | :heavy_check_mark: | |\n| [Berkeley Lab CIFT](https://cs.lbl.gov/news-media/news/news-archive/2010/berkeley-lab-launches-new-center-for-innovative-financial-technology/) | nan | nan | nan | nan | :heavy_check_mark: | |\n| [Cornell University](https://www.cornell.edu/) | nan | nan | nan | nan | :heavy_check_mark: | |\n| [NYU Courant](https://cims.nyu.edu/) | Courant Institute of Mathematical Sciences, New York University | nan | nan | nan | :heavy_check_mark: | |\n| [Stanford Advanced Financial Technologies](https://fintech.stanford.edu/) | Stanford Advanced Financial Technologies Laboratory | nan | nan | nan | :heavy_check_mark: | |" }, { "path": "generated_wiki/courses.md", "content": "| repo | comment | created_at | last_commit | star_count | repo_status | rating |\n|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------|\n| [mlcourse.ai](https://github.com/Yorko/mlcourse.ai) | NEW | 2017-02-27 08:32:20 | 2024-08-25 08:08:31 | 9695.0 | :heavy_check_mark: | |\n| [datascience-box](https://github.com/rstudio-education/datascience-box) | NEW | 2017-12-29 22:16:17 | 2024-08-15 22:45:51 | 956.0 | :heavy_check_mark: | |\n| [machine-learning-zoomcamp](https://github.com/DataTalksClub/machine-learning-zoomcamp) | NEW | 2020-04-17 04:29:23 | 2024-09-24 09:02:07 | 9337.0 | :heavy_check_mark: | |\n| [datasci_course_materials](https://github.com/uwescience/datasci_course_materials) | NEW | 2013-04-12 05:54:36 | 2017-03-21 19:21:02 | 918.0 | :heavy_multiplication_x: | |\n| [ml-mipt](https://github.com/girafe-ai/ml-mipt) | NEW | 2022-09-01 16:16:05 | 2022-09-02 08:44:48 | 9.0 | :heavy_multiplication_x: | |\n| [ciml](https://github.com/hal3/ciml) | NEW | 2015-08-12 19:26:00 | 2017-01-20 16:24:19 | 888.0 | :heavy_multiplication_x: | |\n| [cornell-cs5785-applied-ml](https://github.com/kuleshov/cornell-cs5785-applied-ml) | NEW | 2021-03-26 06:33:58 | 2021-09-02 00:34:55 | 874.0 | :heavy_multiplication_x: | |\n| [ml-course-msu](https://github.com/esokolov/ml-course-msu) | NEW | 2015-09-11 08:51:24 | 2018-05-07 15:40:56 | 871.0 | :heavy_multiplication_x: | |\n| [Octave](https://github.com/schneems/Octave) | NEW | 2011-10-24 23:50:52 | 2016-07-08 20:45:40 | 824.0 | :heavy_multiplication_x: | |\n| [machine_learning_with_python_jadi](https://github.com/jadijadi/machine_learning_with_python_jadi) | NEW | 2021-09-20 08:19:48 | 2024-08-16 05:12:53 | 801.0 | :heavy_check_mark: | |\n| [DAT4](https://github.com/justmarkham/DAT4) | NEW | 2014-12-10 19:38:29 | 2021-02-15 23:26:27 | 794.0 | :heavy_multiplication_x: | |\n| [deploying-machine-learning-models](https://github.com/trainindata/deploying-machine-learning-models) | NEW | 2019-01-09 20:30:46 | 2023-04-19 17:15:38 | 790.0 | :heavy_check_mark: | |\n| [Algo Trading](https://github.com/JCreeks/Machine-Learning-in-Finance/tree/master/0_Intro_to_Algo_Trading) | Intro to algo trading. | 2017-10-29 20:34:54 | 2019-01-22 06:56:08 | 79.0 | :heavy_multiplication_x: | |\n| [master](https://github.com/ML-course/master) | NEW | 2017-02-04 22:44:35 | 2024-04-01 10:09:20 | 784.0 | :heavy_check_mark: | |\n| [DataScienceSpCourseNotes](https://github.com/sux13/DataScienceSpCourseNotes) | NEW | 2015-03-09 00:51:32 | 2016-02-16 06:12:54 | 764.0 | :heavy_multiplication_x: | |\n| [DataScienceCourse](https://github.com/briandalessandro/DataScienceCourse) | NEW | 2014-10-01 08:45:51 | 2020-12-20 13:03:56 | 751.0 | :heavy_multiplication_x: | |\n| [causalML](https://github.com/altdeep/causalML) | NEW | 2018-12-17 05:22:47 | 2024-07-28 18:22:15 | 726.0 | :heavy_check_mark: | |\n| [machine-learning-course](https://github.com/instillai/machine-learning-course) | NEW | 2019-02-15 00:23:19 | 2020-04-21 03:19:12 | 7012.0 | :heavy_multiplication_x: | |\n| [stat479-machine-learning-fs19](https://github.com/rasbt/stat479-machine-learning-fs19) | NEW | 2019-08-07 07:36:20 | 2020-11-28 00:04:07 | 697.0 | :heavy_multiplication_x: | |\n| [python_ka_chilla2023](https://github.com/AammarTufail/python_ka_chilla2023) | NEW | 2022-12-29 21:05:56 | 2023-02-21 22:22:08 | 680.0 | :heavy_check_mark: | |\n| [ML Specialisation](https://github.com/Ahmed0028/Machine-Learning-and-Reinforcement-Learning-in-Finance-Specialization) | Machine Learning in Finance. | 2019-01-24 02:55:01 | 2020-01-03 21:54:16 | 67.0 | :heavy_multiplication_x: | |\n| [DAT3](https://github.com/justmarkham/DAT3) | NEW | 2014-09-18 20:30:19 | 2020-05-19 09:21:02 | 659.0 | :heavy_multiplication_x: | |\n| [competitive-data-science](https://github.com/hse-aml/competitive-data-science) | NEW | 2017-10-28 14:56:44 | 2020-06-13 13:44:26 | 647.0 | :heavy_multiplication_x: | |\n| [DP100](https://github.com/MicrosoftLearning/DP100) | NEW | 2020-01-06 20:38:41 | 2020-12-30 17:22:42 | 635.0 | :heavy_multiplication_x: | |\n| [ML-Course-Notes](https://github.com/dair-ai/ML-Course-Notes) | NEW | 2022-03-17 11:18:50 | 2023-02-13 03:38:54 | 6005.0 | :heavy_check_mark: | |\n| [dtu_mlops](https://github.com/SkafteNicki/dtu_mlops) | NEW | 2021-04-07 09:27:30 | 2024-08-09 09:10:24 | 574.0 | :heavy_check_mark: | |\n| [GML2023](https://github.com/xbresson/GML2023) | NEW | 2024-02-12 01:05:08 | 2024-08-27 06:06:36 | 572.0 | :heavy_check_mark: | |\n| [mlcourse](https://github.com/davidrosenberg/mlcourse) | NEW | 2015-10-11 22:18:25 | 2023-11-02 21:29:07 | 567.0 | :heavy_check_mark: | |\n| [course-resources-ml-with-experts-budgets](https://github.com/datacamp/course-resources-ml-with-experts-budgets) | NEW | 2017-03-02 13:10:27 | 2017-12-14 20:46:54 | 558.0 | :heavy_multiplication_x: | |\n| [Artificial-Intelligence-and-Machine-Learning](https://github.com/emilmont/Artificial-Intelligence-and-Machine-Learning) | NEW | 2011-10-16 22:51:06 | 2013-07-20 18:21:51 | 545.0 | :heavy_multiplication_x: | |\n| [serverless-ml-course](https://github.com/featurestoreorg/serverless-ml-course) | NEW | 2022-09-01 14:09:52 | 2024-09-24 20:48:47 | 529.0 | :heavy_check_mark: | |\n| [Stanford-Machine-Learning-Course](https://github.com/zhouxc/Stanford-Machine-Learning-Course) | NEW | 2011-12-25 10:00:48 | 2011-12-25 10:01:12 | 527.0 | :heavy_multiplication_x: | |\n| [geospatialdatascience](https://github.com/mszell/geospatialdatascience) | NEW | 2022-05-14 12:59:52 | 2022-11-02 08:27:01 | 515.0 | :heavy_check_mark: | |\n| [DataScience](https://github.com/JuliaAcademy/DataScience) | NEW | 2020-05-21 01:26:52 | 2022-10-01 13:34:26 | 490.0 | :heavy_check_mark: | |\n| [stat479-machine-learning-fs18](https://github.com/rasbt/stat479-machine-learning-fs18) | NEW | 2018-09-06 00:30:56 | 2018-12-20 23:45:13 | 489.0 | :heavy_multiplication_x: | |\n| [Quant-Finance-Resources](https://github.com/PyPatel/Quant-Finance-Resources) | NEW | 2019-08-12 15:19:22 | 2021-09-13 10:13:59 | 487.0 | :heavy_multiplication_x: | |\n| [Coursera-Stanford-ML-Python](https://github.com/mstampfer/Coursera-Stanford-ML-Python) | NEW | 2015-10-28 19:51:00 | 2016-09-02 00:21:30 | 444.0 | :heavy_multiplication_x: | |\n| [awesome-full-stack-machine-courses](https://github.com/leehanchung/awesome-full-stack-machine-courses) | NEW | 2019-10-31 19:26:14 | 2023-09-02 01:23:09 | 427.0 | :heavy_check_mark: | |\n| [coursera-machine-learning-engineering-for-prod-mlops-specialization](https://github.com/amanchadha/coursera-machine-learning-engineering-for-prod-mlops-specialization) | NEW | 2021-06-22 04:46:37 | 2023-06-30 05:03:32 | 426.0 | :heavy_check_mark: | |\n| [Introduction-to-Machine-Learning](https://github.com/codeheroku/Introduction-to-Machine-Learning) | NEW | 2019-02-09 12:07:52 | 2020-11-28 08:44:08 | 426.0 | :heavy_multiplication_x: | |\n| [Artificial-Intelligence-And-Data-Science-Pro](https://github.com/pranavanand24/Artificial-Intelligence-And-Data-Science-Pro) | NEW | 2020-05-12 07:34:21 | 2023-01-29 11:51:23 | 422.0 | :heavy_check_mark: | |\n| [courses](https://github.com/DataScienceSpecialization/courses) | NEW | 2014-01-21 10:22:57 | 2016-03-16 12:13:44 | 4050.0 | :heavy_multiplication_x: | |\n| [TradingView-neural-networks-Learning](https://github.com/darkness337/TradingView-neural-networks-Learning) | NEW | 2024-02-22 17:17:37 | 2024-02-24 16:57:13 | 405.0 | :heavy_check_mark: | |\n| [Basic Derivatives](https://github.com/SeanMcOwen/FinanceAndPython.com-Derivatives) | Basic forward contracts and hedging. | 2017-08-24 00:11:37 | 2017-10-13 01:32:23 | 4.0 | :heavy_multiplication_x: | |\n| [machine-learning-resources](https://github.com/datascienceid/machine-learning-resources) | NEW | 2018-04-09 15:10:08 | 2019-07-30 14:25:27 | 396.0 | :heavy_multiplication_x: | |\n| [Online-Courses-Learning](https://github.com/MrinmoiHossain/Online-Courses-Learning) | NEW | 2018-08-12 18:52:29 | 2019-07-14 21:07:56 | 391.0 | :heavy_multiplication_x: | |\n| [machine-learning-programming-assignments-coursera-andrew-ng](https://github.com/AvaisP/machine-learning-programming-assignments-coursera-andrew-ng) | NEW | 2016-08-20 18:05:22 | 2016-09-05 19:14:41 | 389.0 | :heavy_multiplication_x: | |\n| [MTH594_MachineLearning](https://github.com/diefimov/MTH594_MachineLearning) | NEW | 2016-03-09 07:35:19 | 2017-03-31 21:46:26 | 383.0 | :heavy_multiplication_x: | |\n| [stanford-CS229](https://github.com/ccombier/stanford-CS229) | NEW | 2018-07-30 20:19:32 | 2018-09-10 19:03:06 | 380.0 | :heavy_multiplication_x: | |\n| [Computational-Finance-Course](https://github.com/LechGrzelak/Computational-Finance-Course) | NEW | 2021-02-20 16:09:03 | 2024-03-01 11:58:38 | 369.0 | :heavy_check_mark: | |\n| [ml-workspace](https://github.com/AdicherlaVenkataSai/ml-workspace) | NEW | 2020-07-10 06:38:10 | 2021-09-03 07:21:14 | 369.0 | :heavy_multiplication_x: | |\n| [AdvancedML](https://github.com/sjhwang82/AdvancedML) | NEW | 2019-02-22 09:15:04 | 2022-11-25 10:53:47 | 366.0 | :heavy_check_mark: | |\n| [feature-engineering-for-machine-learning](https://github.com/solegalli/feature-engineering-for-machine-learning) | NEW | 2019-05-01 08:05:42 | 2023-12-05 12:07:06 | 366.0 | :heavy_check_mark: | |\n| [MLOps-Specialization-Notes](https://github.com/kennethleungty/MLOps-Specialization-Notes) | NEW | 2021-07-11 14:20:24 | 2023-05-17 16:28:29 | 351.0 | :heavy_check_mark: | |\n| [msds621](https://github.com/parrt/msds621) | NEW | 2019-07-01 18:21:25 | 2021-12-07 19:51:49 | 348.0 | :heavy_multiplication_x: | |\n| [machine-learning-notebooks](https://github.com/krasserm/machine-learning-notebooks) | NEW | 2017-07-24 10:21:05 | 2020-09-07 12:48:43 | 341.0 | :heavy_multiplication_x: | |\n| [machine-learning-online-2018](https://github.com/coding-blocks-archives/machine-learning-online-2018) | NEW | 2018-07-18 04:24:58 | 2020-07-02 09:24:40 | 340.0 | :heavy_multiplication_x: | |\n| [ai-developer-resources](https://github.com/duncantmiller/ai-developer-resources) | NEW | 2023-12-04 17:31:24 | 2024-05-09 04:24:25 | 332.0 | :heavy_check_mark: | |\n| [python-seminar](https://github.com/profjsb/python-seminar) | NEW | 2012-08-23 03:30:01 | 2022-04-25 22:56:48 | 325.0 | :heavy_multiplication_x: | |\n| [datacamp](https://github.com/ozlerhakan/datacamp) | NEW | 2018-07-20 09:19:43 | 2024-04-21 08:17:00 | 322.0 | :heavy_check_mark: | |\n| [2014](https://github.com/cs109/2014) | NEW | 2014-07-21 22:46:20 | 2014-12-17 14:37:02 | 318.0 | :heavy_multiplication_x: | |\n| [Machine-Learning-by-Andrew-Ng-in-Python](https://github.com/Benlau93/Machine-Learning-by-Andrew-Ng-in-Python) | NEW | 2018-12-06 02:20:59 | 2019-01-11 04:24:52 | 311.0 | :heavy_multiplication_x: | |\n| [coursera-deep-learning-specialization](https://github.com/amanchadha/coursera-deep-learning-specialization) | NEW | 2020-06-24 05:59:01 | 2024-04-13 01:45:25 | 3047.0 | :heavy_check_mark: | |\n| [Handson Python for Finance](https://github.com/PacktPublishing/Hands-on-Python-for-Finance) | Hands-on Python for Finance published by Packt. | 2018-08-20 14:10:37 | 2023-01-30 09:07:24 | 304.0 | :heavy_check_mark: | |\n| [PyMLSlides](https://github.com/dmitriydligach/PyMLSlides) | NEW | 2017-06-05 13:59:15 | 2021-10-07 17:34:18 | 303.0 | :heavy_multiplication_x: | |\n| [ML_Process_Course](https://github.com/PlayingNumbers/ML_Process_Course) | NEW | 2022-06-30 22:04:48 | 2023-06-21 18:39:45 | 297.0 | :heavy_check_mark: | |\n| [matrixcalc](https://github.com/mitmath/matrixcalc) | NEW | 2022-01-04 15:39:28 | 2024-02-09 17:17:51 | 297.0 | :heavy_check_mark: | |\n| [Data-Science-Free](https://github.com/frontbenchHQ/Data-Science-Free) | NEW | 2019-02-10 14:29:29 | 2020-07-13 06:36:25 | 295.0 | :heavy_multiplication_x: | |\n| [feature-selection-for-machine-learning](https://github.com/solegalli/feature-selection-for-machine-learning) | NEW | 2020-01-08 17:08:12 | 2024-04-27 16:24:40 | 290.0 | :heavy_check_mark: | |\n| [zero-to-mastery-ml](https://github.com/mrdbourke/zero-to-mastery-ml) | NEW | 2019-09-23 04:56:51 | 2024-09-25 06:05:55 | 2876.0 | :heavy_check_mark: | |\n| [tensorflow-without-a-phd](https://github.com/GoogleCloudPlatform/tensorflow-without-a-phd) | NEW | 2018-05-09 18:33:40 | 2020-06-03 21:08:32 | 2778.0 | :heavy_multiplication_x: | |\n| [mlbookcamp-code](https://github.com/alexeygrigorev/mlbookcamp-code) | NEW | 2023-08-01 14:02:25 | 2024-09-15 09:54:55 | 276.0 | :heavy_check_mark: | |\n| [machine-learning-andrew-ng](https://github.com/susilvaalmeida/machine-learning-andrew-ng) | NEW | 2019-03-15 23:51:58 | 2020-05-30 23:46:44 | 274.0 | :heavy_multiplication_x: | |\n| [awesome-ml-courses](https://github.com/luspr/awesome-ml-courses) | NEW | 2020-05-08 20:41:59 | 2024-06-18 07:14:47 | 2688.0 | :heavy_check_mark: | |\n| [MachineLearningWithPython](https://github.com/JerryKurata/MachineLearningWithPython) | NEW | 2016-04-24 21:20:10 | 2023-01-27 01:12:06 | 259.0 | :heavy_check_mark: | |\n| [stanford-cs231](https://github.com/machinelearningnanodegree/stanford-cs231) | NEW | 2016-09-05 01:40:41 | 2017-02-03 16:46:46 | 258.0 | :heavy_multiplication_x: | |\n| [iNeuron-Full-Stack-Data-Science-Assignments](https://github.com/amanovishnu/iNeuron-Full-Stack-Data-Science-Assignments) | NEW | 2021-05-31 10:46:57 | 2022-07-17 10:52:33 | 256.0 | :heavy_multiplication_x: | |\n| [TeachingDataScience](https://github.com/yogeshhk/TeachingDataScience) | NEW | 2019-04-13 23:43:45 | 2024-09-28 02:39:36 | 255.0 | :heavy_check_mark: | |\n| [PythonDataScienceFullThrottle](https://github.com/pdeitel/PythonDataScienceFullThrottle) | NEW | 2019-07-18 15:53:01 | 2024-08-13 13:38:57 | 253.0 | :heavy_check_mark: | |\n| [MachineLearning6.867](https://github.com/peteflorence/MachineLearning6.867) | NEW | 2015-09-08 16:25:19 | 2015-10-20 15:43:40 | 242.0 | :heavy_multiplication_x: | |\n| [365datascience](https://github.com/UsmanNiazi/365datascience) | NEW | 2020-04-12 12:01:18 | 2020-11-01 07:39:21 | 241.0 | :heavy_multiplication_x: | |\n| [Udemy---Machine-Learning](https://github.com/jmportilla/Udemy---Machine-Learning) | NEW | 2015-04-27 22:44:40 | 2016-07-06 23:58:33 | 238.0 | :heavy_multiplication_x: | |\n| [ML_RiskManagement](https://github.com/albahnsen/ML_RiskManagement) | NEW | 2016-05-16 19:37:52 | 2018-02-08 21:05:21 | 235.0 | :heavy_multiplication_x: | |\n| [Intro](https://github.com/rstudio/Intro) | NEW | 2014-11-11 20:45:33 | 2014-11-12 13:42:32 | 235.0 | :heavy_multiplication_x: | |\n| [JSE_OkCupid](https://github.com/rudeboybert/JSE_OkCupid) | NEW | 2015-03-28 08:38:27 | 2021-04-26 18:35:26 | 234.0 | :heavy_multiplication_x: | |\n| [Developing_Data_Products](https://github.com/DataScienceSpecialization/Developing_Data_Products) | NEW | 2016-08-25 19:47:39 | 2017-07-31 15:11:59 | 233.0 | :heavy_multiplication_x: | |\n| [julia-ml-course](https://github.com/adrhill/julia-ml-course) | NEW | 2023-04-24 15:17:08 | 2024-09-06 13:36:23 | 233.0 | :heavy_check_mark: | |\n| [DAT7](https://github.com/justmarkham/DAT7) | NEW | 2015-05-16 02:29:54 | 2016-03-18 16:20:30 | 231.0 | :heavy_multiplication_x: | |\n| [MachineLearning_Ng](https://github.com/HuangCongQing/MachineLearning_Ng) | NEW | 2017-10-14 13:06:55 | 2020-05-11 01:56:28 | 229.0 | :heavy_multiplication_x: | |\n| [qmlcourse](https://github.com/quantum-ods/qmlcourse) | NEW | 2021-03-06 04:19:25 | 2024-07-07 23:51:37 | 228.0 | :heavy_check_mark: | |\n| [Python-Learning](https://github.com/AmirHosseinBabaeayan/Python-Learning) | NEW | 2021-09-14 15:45:23 | 2023-09-16 20:43:57 | 226.0 | :heavy_check_mark: | |\n| [AmazonSageMakerCourse](https://github.com/ChandraLingam/AmazonSageMakerCourse) | NEW | 2019-04-02 16:31:20 | 2024-05-30 04:54:39 | 225.0 | :heavy_check_mark: | |\n| [machine-learning-coursera](https://github.com/yhyap/machine-learning-coursera) | NEW | 2013-05-03 09:41:53 | 2013-05-05 11:58:38 | 224.0 | :heavy_multiplication_x: | |\n| [datasciencecoursera](https://github.com/mGalarnyk/datasciencecoursera) | NEW | 2016-12-27 03:59:24 | 2021-02-19 04:16:58 | 2225.0 | :heavy_multiplication_x: | |\n| [dl-workshop](https://github.com/ericmjl/dl-workshop) | NEW | 2018-12-20 22:34:43 | 2022-05-14 19:09:02 | 222.0 | :heavy_multiplication_x: | |\n| [Machine-Learning-AndrewNg-DeepLearning.AI](https://github.com/azminewasi/Machine-Learning-AndrewNg-DeepLearning.AI) | NEW | 2022-07-24 11:14:14 | 2023-06-11 06:21:18 | 221.0 | :heavy_check_mark: | |\n| [supervised-ML-case-studies-course](https://github.com/juliasilge/supervised-ML-case-studies-course) | NEW | 2019-06-01 21:32:47 | 2021-08-22 23:19:32 | 221.0 | :heavy_multiplication_x: | |\n| [umich-eecs545-lectures](https://github.com/thejakeyboy/umich-eecs545-lectures) | NEW | 2016-01-24 18:46:16 | 2016-08-29 20:34:54 | 219.0 | :heavy_multiplication_x: | |\n| [ml-course](https://github.com/girafe-ai/ml-course) | NEW | 2019-02-01 16:20:39 | 2024-08-24 16:37:56 | 2186.0 | :heavy_check_mark: | |\n| [python_data_science_and_machine_learning_bootcamp](https://github.com/ccniuj/python_data_science_and_machine_learning_bootcamp) | NEW | 2017-01-15 12:05:12 | 2017-01-15 12:20:06 | 217.0 | :heavy_multiplication_x: | |\n| [Introduction-to-Data-Science-in-python](https://github.com/sidsriv/Introduction-to-Data-Science-in-python) | NEW | 2016-11-01 15:41:24 | 2017-01-22 10:28:21 | 216.0 | :heavy_multiplication_x: | |\n| [ml-intro](https://github.com/rolling-scopes-school/ml-intro) | NEW | 2020-11-27 14:55:34 | 2022-06-02 10:13:04 | 216.0 | :heavy_multiplication_x: | |\n| [Core-Machine-Learning-Course](https://github.com/ayush714/Core-Machine-Learning-Course) | NEW | 2023-04-12 03:09:33 | 2023-04-12 03:50:57 | 214.0 | :heavy_check_mark: | |\n| [creative_ml](https://github.com/acids-ircam/creative_ml) | NEW | 2023-03-16 07:08:54 | 2024-07-11 13:24:13 | 212.0 | :heavy_check_mark: | |\n| [MonteCarloMethodsInFinance](https://github.com/olafSmits/MonteCarloMethodsInFinance) | NEW | 2014-01-21 14:38:39 | 2014-04-21 19:43:21 | 210.0 | :heavy_multiplication_x: | |\n| [Data-Science-Essentials](https://github.com/MicrosoftLearning/Data-Science-Essentials) | NEW | 2016-05-16 21:42:29 | 2018-03-01 02:34:46 | 210.0 | :heavy_multiplication_x: | |\n| [Python for Finance](https://github.com/siaen/python_finance_course) | CEU python for finance course material. | 2017-12-12 11:54:46 | 2020-02-25 20:31:41 | 21.0 | :heavy_multiplication_x: | |\n| [Computational-Social-Science-Training-Program](https://github.com/dlab-berkeley/Computational-Social-Science-Training-Program) | NEW | 2020-07-14 00:53:09 | 2024-09-26 20:27:57 | 209.0 | :heavy_check_mark: | |\n| [Machine_Learning_2018](https://github.com/snrazavi/Machine_Learning_2018) | NEW | 2018-10-16 10:16:35 | 2021-09-16 14:14:05 | 208.0 | :heavy_multiplication_x: | |\n| [CS-7641-Machine-Learning-Notes](https://github.com/mohamedameen93/CS-7641-Machine-Learning-Notes) | NEW | 2019-01-22 00:53:10 | 2021-01-19 22:18:02 | 203.0 | :heavy_multiplication_x: | |\n| [CourseraML](https://github.com/kaleko/CourseraML) | NEW | 2015-12-08 00:03:22 | 2018-10-30 23:49:56 | 2017.0 | :heavy_multiplication_x: | |\n| [amazon-sagemaker-architecting-for-ml](https://github.com/aws-samples/amazon-sagemaker-architecting-for-ml) | NEW | 2018-12-20 21:53:20 | 2020-08-12 22:24:32 | 200.0 | :heavy_multiplication_x: | |\n| [MLND](https://github.com/mtyylx/MLND) | NEW | 2017-05-07 15:05:10 | 2018-04-01 15:58:24 | 200.0 | :heavy_multiplication_x: | |\n| [china-dictatorship](https://github.com/cirosantilli/china-dictatorship) | NEW | 2015-04-02 20:51:50 | 2022-08-03 13:01:21 | 1997.0 | :heavy_multiplication_x: | |\n| [cs229-2018-autumn](https://github.com/maxim5/cs229-2018-autumn) | NEW | 2021-02-08 14:39:48 | 2024-04-15 16:56:26 | 1787.0 | :heavy_check_mark: | |\n| [Basic Investments](https://github.com/SeanMcOwen/FinanceAndPython.com-Investments) | Basic investment tools in python. | 2017-08-02 21:52:19 | 2017-08-17 03:24:53 | 17.0 | :heavy_multiplication_x: | |\n| [DAT8](https://github.com/justmarkham/DAT8) | NEW | 2015-08-07 03:35:51 | 2016-04-18 18:34:09 | 1606.0 | :heavy_multiplication_x: | |\n| [ML-YouTube-Courses](https://github.com/dair-ai/ML-YouTube-Courses) | NEW | 2021-06-25 09:39:16 | 2024-01-22 15:52:28 | 15798.0 | :heavy_check_mark: | |\n| [PythonNumericalDemos](https://github.com/GeostatsGuy/PythonNumericalDemos) | NEW | 2017-10-13 15:44:06 | 2024-09-10 22:02:32 | 1397.0 | :heavy_check_mark: | |\n| [Machine Learning for Trading](https://github.com/stefan-jansen/machine-learning-for-trading) | Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading. | 2018-05-09 12:33:08 | 2023-03-05 17:14:58 | 13043.0 | :heavy_check_mark: | |\n| [Basic Finance](https://github.com/SeanMcOwen/FinanceAndPython.com-BasicFinance) | Source code notebooks basic finance applications. | 2017-05-06 02:39:05 | 2017-06-21 04:04:09 | 13.0 | :heavy_multiplication_x: | |\n| [Risk Management](https://github.com/andrey-lukyanov/Risk-Management) | Finance risk engagement course resources. | 2018-10-03 16:26:14 | 2018-12-13 08:04:15 | 13.0 | :heavy_multiplication_x: | |\n| [ppd599](https://github.com/gboeing/ppd599) | NEW | 2015-09-01 19:59:59 | 2024-04-28 19:25:58 | 1265.0 | :heavy_check_mark: | |\n| [Play-with-Machine-Learning-Algorithms](https://github.com/liuyubobobo/Play-with-Machine-Learning-Algorithms) | NEW | 2017-10-17 23:13:24 | 2022-08-22 00:45:23 | 1259.0 | :heavy_multiplication_x: | |\n| [ML_course](https://github.com/epfml/ML_course) | NEW | 2016-07-13 15:37:38 | 2024-09-27 14:37:10 | 1247.0 | :heavy_check_mark: | |\n| [home](https://github.com/gege-circle/home) | NEW | 2020-09-20 04:47:25 | 2024-08-15 10:36:10 | 1168.0 | :heavy_check_mark: | |\n| [DataCamp](https://github.com/wblakecannon/DataCamp) | NEW | 2017-09-18 20:51:08 | 2020-10-01 20:13:05 | 1167.0 | :heavy_check_mark: | |\n| [dive-into-machine-learning](https://github.com/hangtwenty/dive-into-machine-learning) | NEW | 2015-02-22 23:48:16 | 2022-06-17 23:22:08 | 11262.0 | :heavy_multiplication_x: | |\n| [machine-learning-coursera-1](https://github.com/Borye/machine-learning-coursera-1) | NEW | 2014-08-28 10:48:18 | 2014-06-17 10:37:27 | 1126.0 | :heavy_multiplication_x: | |\n| [OptML_course](https://github.com/epfml/OptML_course) | NEW | 2018-02-21 19:06:55 | 2024-06-27 19:57:58 | 1120.0 | :heavy_check_mark: | |\n| [Mathematical Finance](https://github.com/yadongli/nyumath2048) | NYU Math-GA 2048: Scientific Computing in Finance. | 2015-01-25 21:10:37 | 2020-03-25 04:24:25 | 106.0 | :heavy_multiplication_x: | |\n| [stanford-cs229](https://github.com/zyxue/stanford-cs229) | NEW | 2017-10-31 23:01:08 | 2021-08-04 03:03:28 | 0.0 | :heavy_check_mark: | |" }, { "path": "generated_wiki/data.md", "content": "| repo | comment | created_at | last_commit | star_count | repo_status | rating |\n|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------|\n| [Tools-termux](https://github.com/Taoviqinvicible/Tools-termux) | NEW | nan | nan | nan | :heavy_check_mark: | |\n| [Rating Industries](http://www.ratingshistory.info/) | nan | nan | nan | nan | :heavy_check_mark: | |\n| [http://finance.yahoo.com/](http://finance.yahoo.com/) | nan | nan | nan | nan | :heavy_check_mark: | |\n| [https://fred.stlouisfed.org/](https://fred.stlouisfed.org/) | nan | nan | nan | nan | :heavy_check_mark: | |\n| [https://stooq.com](https://stooq.com) | nan | nan | nan | nan | :heavy_check_mark: | |\n| [Capital Markets Data](https://www.capitalmarketsdata.com/) | nan | nan | nan | nan | :heavy_check_mark: | |\n| [Financial Corporate](http://raw.rutgers.edu/Corporate%20Financial%20Data.html) | nan | nan | nan | nan | :heavy_check_mark: | |\n| [IRS](http://social-metrics.org/sox/) | nan | nan | nan | nan | :heavy_check_mark: | |\n| [Non-financial Corporate](http://raw.rutgers.edu/Non-Financial%20Corporate%20Data.html) | nan | nan | nan | nan | :heavy_check_mark: | |\n| [redesigned-pancake](https://github.com/Sfedfcv/redesigned-pancake) | NEW | nan | nan | nan | :heavy_check_mark: | |\n| [PyPOTS](https://github.com/WenjieDu/PyPOTS) | NEW | 2022-03-29 14:22:47 | 2024-09-26 17:17:28 | 997.0 | :heavy_check_mark: | |\n| [aeon](https://github.com/aeon-toolkit/aeon) | NEW | 2022-12-20 12:44:09 | 2024-09-27 18:03:06 | 976.0 | :heavy_check_mark: | |\n| [hypercube](https://github.com/hypercube-lab/hypercube) | NEW | 2021-09-08 06:47:07 | 2021-10-14 13:44:17 | 975.0 | :heavy_multiplication_x: | |\n| [Deedle](https://github.com/fslaborg/Deedle) | NEW | 2013-09-17 18:53:34 | 2023-01-17 21:18:55 | 937.0 | :heavy_check_mark: | |\n| [BitcoinExchangeFH](https://github.com/BitcoinExchangeFH/BitcoinExchangeFH) | NEW | 2016-10-24 13:30:31 | 2022-12-28 17:07:41 | 936.0 | :heavy_check_mark: | |\n| [fredapi](https://github.com/mortada/fredapi) | NEW | 2014-08-22 01:43:29 | 2024-05-05 11:39:39 | 909.0 | :heavy_check_mark: | |\n| [jqdatasdk](https://github.com/JoinQuant/jqdatasdk) | NEW | 2017-11-29 08:39:45 | 2024-08-09 10:25:12 | 905.0 | :heavy_check_mark: | |\n| [adata](https://github.com/1nchaos/adata) | NEW | 2023-05-23 05:13:52 | 2024-09-06 16:42:53 | 900.0 | :heavy_check_mark: | |\n| [Awesome-TimeSeries-AIOps-LM-LLM](https://github.com/qingsongedu/Awesome-TimeSeries-AIOps-LM-LLM) | NEW | 2023-06-10 00:45:54 | 2024-05-25 18:42:12 | 889.0 | :heavy_check_mark: | |\n| [awesome-time-series-database](https://github.com/xephonhq/awesome-time-series-database) | NEW | 2016-10-17 23:38:35 | 2022-07-21 00:18:25 | 847.0 | :heavy_multiplication_x: | |\n| [autogluon](https://github.com/awslabs/autogluon) | NEW | 2019-07-29 18:51:24 | 2024-09-28 00:14:56 | 7738.0 | :heavy_check_mark: | |\n| [Web Scraping (FirmAI)](https://github.com/firmai/business-machine-learning/blob/master/www.firmai.org/data) | nan | 2019-02-19 19:02:59 | 2021-12-18 09:24:32 | 763.0 | :heavy_multiplication_x: | |\n| [luminaire](https://github.com/zillow/luminaire) | NEW | 2020-07-08 19:22:50 | 2024-01-31 19:05:51 | 762.0 | :heavy_check_mark: | |\n| [azuredatastudio](https://github.com/microsoft/azuredatastudio) | NEW | 2017-11-02 01:00:13 | 2024-09-28 17:05:47 | 7552.0 | :heavy_check_mark: | |\n| [Neural-Net-with-Financial-Time-Series-Data](https://github.com/BenjiKCF/Neural-Net-with-Financial-Time-Series-Data) | NEW | 2017-03-22 15:00:01 | 2020-12-15 13:04:13 | 753.0 | :heavy_multiplication_x: | |\n| [deeptime](https://github.com/deeptime-ml/deeptime) | NEW | 2018-03-27 15:47:05 | 2024-07-16 13:27:41 | 749.0 | :heavy_check_mark: | |\n| [vpselector](https://github.com/manumerous/vpselector) | NEW | 2021-04-26 14:47:22 | 2023-09-20 18:31:32 | 74.0 | :heavy_check_mark: | |\n| [multivariate-time-series-data](https://github.com/laiguokun/multivariate-time-series-data) | NEW | 2017-02-16 02:32:38 | 2017-04-09 18:19:22 | 739.0 | :heavy_multiplication_x: | |\n| [Auto_TS](https://github.com/AutoViML/Auto_TS) | NEW | 2020-02-15 15:23:32 | 2024-05-05 11:51:05 | 726.0 | :heavy_check_mark: | |\n| [web-scraping](https://github.com/je-suis-tm/web-scraping) | NEW | 2018-04-04 05:50:45 | 2021-06-28 19:56:23 | 720.0 | :heavy_multiplication_x: | |\n| [finance-go](https://github.com/piquette/finance-go) | NEW | 2018-02-04 21:06:17 | 2023-08-07 03:39:03 | 717.0 | :heavy_check_mark: | |\n| [kcov](https://github.com/SimonKagstrom/kcov) | NEW | 2010-08-23 12:03:31 | 2024-09-24 03:58:24 | 714.0 | :heavy_check_mark: | |\n| [risingwave](https://github.com/risingwavelabs/risingwave) | NEW | 2022-01-28 12:58:03 | 2024-09-28 06:48:53 | 6847.0 | :heavy_check_mark: | |\n| [temporian](https://github.com/google/temporian) | NEW | 2023-01-17 18:00:40 | 2024-07-25 07:55:32 | 666.0 | :heavy_check_mark: | |\n| [Time-Series-Analysis](https://github.com/ritvikmath/Time-Series-Analysis) | NEW | 2020-03-20 02:30:13 | 2020-10-07 15:34:46 | 660.0 | :heavy_multiplication_x: | |\n| [WeDataSphere](https://github.com/WeBankFinTech/WeDataSphere) | NEW | 2019-07-23 06:31:54 | 2024-03-14 02:39:21 | 655.0 | :heavy_check_mark: | |\n| [RGAN](https://github.com/ratschlab/RGAN) | NEW | 2017-06-08 11:26:13 | 2018-02-09 18:09:22 | 640.0 | :heavy_multiplication_x: | |\n| [Stocksera](https://github.com/guanquann/Stocksera) | NEW | 2021-05-18 07:34:00 | 2024-08-19 03:40:09 | 638.0 | :heavy_check_mark: | |\n| [PrivateBin](https://github.com/PrivateBin/PrivateBin) | NEW | 2016-07-09 07:03:25 | 2024-09-10 03:31:05 | 6361.0 | :heavy_check_mark: | |\n| [tradekit](https://github.com/hackingthemarkets/tradekit) | NEW | 2020-12-25 21:54:13 | 2021-03-07 03:09:10 | 636.0 | :heavy_multiplication_x: | |\n| [blueflood](https://github.com/rackerlabs/blueflood) | NEW | 2013-05-15 14:50:39 | 2022-09-23 15:49:43 | 597.0 | :heavy_multiplication_x: | |\n| [finnhub-python](https://github.com/Finnhub-Stock-API/finnhub-python) | NEW | 2020-05-20 21:54:37 | 2024-06-10 10:05:34 | 560.0 | :heavy_check_mark: | |\n| [pystore](https://github.com/ranaroussi/pystore) | NEW | 2018-05-26 20:38:44 | 2024-07-10 10:11:01 | 558.0 | :heavy_check_mark: | |\n| [qf-lib](https://github.com/quarkfin/qf-lib) | NEW | 2019-08-16 09:10:20 | 2024-09-23 12:29:37 | 548.0 | :heavy_check_mark: | |\n| [cryptoCMD](https://github.com/guptarohit/cryptoCMD) | NEW | 2018-01-27 22:32:48 | 2024-04-15 23:38:08 | 545.0 | :heavy_check_mark: | |\n| [RZDataBinding](https://github.com/Rightpoint/RZDataBinding) | NEW | 2014-09-19 15:15:16 | 2018-10-04 22:34:22 | 543.0 | :heavy_multiplication_x: | |\n| [kerf1](https://github.com/kevinlawler/kerf1) | NEW | 2015-04-08 12:40:49 | 2024-09-03 23:20:03 | 539.0 | :heavy_check_mark: | |\n| [courtlistener](https://github.com/freelawproject/courtlistener) | NEW | 2014-07-25 13:22:00 | 2024-09-27 23:48:58 | 535.0 | :heavy_check_mark: | |\n| [Curve](https://github.com/baidu/Curve) | NEW | 2017-10-23 04:07:19 | 2020-12-24 08:19:37 | 530.0 | :heavy_multiplication_x: | |\n| [awesome-time-series](https://github.com/lmmentel/awesome-time-series) | NEW | 2021-10-26 21:48:18 | 2024-05-22 19:40:03 | 526.0 | :heavy_check_mark: | |\n| [MAD-GANs](https://github.com/LiDan456/MAD-GANs) | NEW | 2019-01-09 02:16:28 | 2019-01-17 02:58:14 | 516.0 | :heavy_multiplication_x: | |\n| [PIXIU](https://github.com/The-FinAI/PIXIU) | NEW | 2023-06-02 02:59:15 | 2024-08-25 10:39:17 | 514.0 | :heavy_check_mark: | |\n| [PIXIU](https://github.com/chancefocus/PIXIU) | NEW | 2023-06-02 02:59:15 | 2024-08-25 10:39:17 | 514.0 | :heavy_check_mark: | |\n| [chart-fx](https://github.com/GSI-CS-CO/chart-fx) | NEW | 2019-05-07 12:13:31 | 2024-08-19 06:35:03 | 503.0 | :heavy_check_mark: | |\n| [lepto](https://github.com/dimitrinicolas/lepto) | NEW | 2018-06-01 22:15:10 | 2018-08-21 16:00:59 | 497.0 | :heavy_multiplication_x: | |\n| [Kats](https://github.com/facebookresearch/Kats) | NEW | 2021-02-25 21:51:06 | 2024-09-03 18:40:22 | 4896.0 | :heavy_check_mark: | |\n| [sec-edgar-downloader](https://github.com/jadchaar/sec-edgar-downloader) | NEW | 2018-12-20 20:59:26 | 2024-07-26 04:49:02 | 484.0 | :heavy_check_mark: | |\n| [LSTM-Neural-Network-for-Time-Series-Prediction](https://github.com/jaungiers/LSTM-Neural-Network-for-Time-Series-Prediction) | NEW | 2016-12-18 16:26:20 | 2019-04-30 15:05:34 | 4789.0 | :heavy_multiplication_x: | |\n| [ruby.fundamental](https://github.com/khusnetdinov/ruby.fundamental) | NEW | 2016-08-12 07:59:39 | 2023-10-10 14:13:04 | 473.0 | :heavy_check_mark: | |\n| [covid-19-open-data](https://github.com/GoogleCloudPlatform/covid-19-open-data) | NEW | 2020-07-23 23:43:51 | 2022-10-23 22:26:29 | 471.0 | :heavy_check_mark: | |\n| [Data-Scientist-Books](https://github.com/aaaastark/Data-Scientist-Books) | NEW | 2022-01-20 21:52:01 | 2023-11-22 22:07:26 | 468.0 | :heavy_check_mark: | |\n| [trendet](https://github.com/alvarobartt/trendet) | NEW | 2019-08-09 17:40:41 | 2020-06-28 17:25:32 | 456.0 | :heavy_multiplication_x: | |\n| [FinancialDatasets](https://github.com/smoothnlp/FinancialDatasets) | NEW | 2019-05-27 08:53:57 | 2019-09-03 08:46:57 | 453.0 | :heavy_multiplication_x: | |\n| [nyctaxi](https://github.com/chriswhong/nyctaxi) | NEW | 2014-06-29 18:46:08 | 2017-08-11 22:00:46 | 453.0 | :heavy_multiplication_x: | |\n| [crypto](https://github.com/spatie/crypto) | NEW | 2020-11-06 14:46:03 | 2024-07-08 05:24:47 | 451.0 | :heavy_check_mark: | |\n| [SwiftDataTables](https://github.com/pavankataria/SwiftDataTables) | NEW | 2017-03-09 12:13:55 | 2022-02-20 20:00:32 | 448.0 | :heavy_multiplication_x: | |\n| [edgartools](https://github.com/dgunning/edgartools) | NEW | 2022-12-24 17:07:26 | 2024-09-22 10:52:23 | 435.0 | :heavy_check_mark: | |\n| [Spreads](https://github.com/Spreads/Spreads) | NEW | 2015-12-20 20:10:03 | 2023-04-16 20:23:15 | 426.0 | :heavy_check_mark: | |\n| [alpha_vantage](https://github.com/RomelTorres/alpha_vantage) | NEW | 2017-04-29 17:23:00 | 2024-07-18 16:46:48 | 4245.0 | :heavy_check_mark: | |\n| [js-jose](https://github.com/square/js-jose) | NEW | 2015-01-27 23:26:10 | 2023-01-10 17:50:34 | 422.0 | :heavy_check_mark: | |\n| [finagg](https://github.com/theOGognf/finagg) | NEW | 2022-09-25 15:11:34 | 2024-08-11 00:17:35 | 422.0 | :heavy_check_mark: | |\n| [ultrafinance](https://github.com/panpanpandas/ultrafinance) | NEW | 2014-10-20 04:21:07 | 2014-10-20 04:31:29 | 421.0 | :heavy_multiplication_x: | |\n| [wayback-machine-scraper](https://github.com/sangaline/wayback-machine-scraper) | NEW | 2017-04-04 23:27:58 | 2021-02-15 19:00:15 | 416.0 | :heavy_multiplication_x: | |\n| [Awesome-TimeSeries-SpatioTemporal-Diffusion-Model](https://github.com/yyysjz1997/Awesome-TimeSeries-SpatioTemporal-Diffusion-Model) | NEW | 2023-10-09 16:12:22 | 2024-09-22 16:01:45 | 415.0 | :heavy_check_mark: | |\n| [Superalgos](https://github.com/Superalgos/Superalgos) | NEW | 2019-08-12 17:34:43 | 2024-01-31 18:29:38 | 4133.0 | :heavy_check_mark: | |\n| [resnet1d](https://github.com/hsd1503/resnet1d) | NEW | 2019-10-27 01:15:48 | 2022-02-07 12:35:59 | 413.0 | :heavy_multiplication_x: | |\n| [awesome-data](https://github.com/akfamily/awesome-data) | NEW | 2020-03-02 18:24:03 | 2024-09-27 14:01:38 | 413.0 | :heavy_check_mark: | |\n| [ethereum-etl-airflow](https://github.com/blockchain-etl/ethereum-etl-airflow) | NEW | 2018-08-21 17:01:21 | 2024-09-27 08:11:39 | 405.0 | :heavy_check_mark: | |\n| [Python-NSE-Option-Chain-Analyzer](https://github.com/VarunS2002/Python-NSE-Option-Chain-Analyzer) | NEW | 2020-06-20 14:49:19 | 2023-05-25 01:07:37 | 402.0 | :heavy_check_mark: | |\n| [jquery-autocomplete](https://github.com/dyve/jquery-autocomplete) | NEW | 2011-12-28 12:31:02 | 2015-03-26 09:50:53 | 401.0 | :heavy_multiplication_x: | |\n| [Valet](https://github.com/square/Valet) | NEW | 2015-06-01 14:17:12 | 2024-08-22 19:48:26 | 3990.0 | :heavy_check_mark: | |\n| [Time-Series-Forecasting-of-Amazon-Stock-Prices-using-Neural-Networks-LSTM-and-GAN-](https://github.com/deshpandenu/Time-Series-Forecasting-of-Amazon-Stock-Prices-using-Neural-Networks-LSTM-and-GAN-) | NEW | 2019-07-29 17:44:47 | 2020-08-12 15:43:34 | 396.0 | :heavy_multiplication_x: | |\n| [tvdatafeed](https://github.com/StreamAlpha/tvdatafeed) | NEW | 2021-04-09 07:50:54 | 2022-08-27 16:53:50 | 395.0 | :heavy_check_mark: | |\n| [Data-Augmentation-For-Wearable-Sensor-Data](https://github.com/terryum/Data-Augmentation-For-Wearable-Sensor-Data) | NEW | 2017-08-22 19:51:54 | 2018-06-11 05:02:05 | 390.0 | :heavy_multiplication_x: | |\n| [Schedulis](https://github.com/WeBankFinTech/Schedulis) | NEW | 2020-05-07 06:37:09 | 2024-09-11 09:02:33 | 386.0 | :heavy_check_mark: | |\n| [java-fundamentals-course](https://github.com/bobocode-projects/java-fundamentals-course) | NEW | 2020-12-25 14:19:10 | 2024-06-20 08:55:00 | 385.0 | :heavy_check_mark: | |\n| [java-fundamentals-exercises](https://github.com/bobocode-projects/java-fundamentals-exercises) | NEW | 2020-12-25 14:19:10 | 2024-06-20 08:55:00 | 385.0 | :heavy_check_mark: | |\n| [cryptostore](https://github.com/bmoscon/cryptostore) | NEW | 2019-01-26 00:39:36 | 2024-04-18 17:37:54 | 383.0 | :heavy_check_mark: | |\n| [twelvedata-python](https://github.com/twelvedata/twelvedata-python) | NEW | 2019-12-31 12:45:17 | 2024-09-16 10:28:38 | 382.0 | :heavy_check_mark: | |\n| [django-cryptography](https://github.com/georgemarshall/django-cryptography) | NEW | 2016-03-02 07:55:01 | 2024-02-16 03:05:10 | 381.0 | :heavy_check_mark: | |\n| [LSTM_encoder_decoder](https://github.com/lkulowski/LSTM_encoder_decoder) | NEW | 2020-01-20 18:35:48 | 2020-11-20 03:31:31 | 379.0 | :heavy_multiplication_x: | |\n| [osgeo](https://github.com/OSGeo/osgeo) | NEW | 2017-07-13 14:53:37 | 2024-04-30 18:46:41 | 363.0 | :heavy_check_mark: | |\n| [matrixprofile](https://github.com/matrix-profile-foundation/matrixprofile) | NEW | 2019-07-22 00:33:37 | 2022-11-25 13:40:05 | 362.0 | :heavy_check_mark: | |\n| [Cryptocurrency-Analysis-Python](https://github.com/triestpa/Cryptocurrency-Analysis-Python) | NEW | 2017-08-13 06:33:34 | 2017-12-30 01:48:03 | 361.0 | :heavy_multiplication_x: | |\n| [mplfinance](https://github.com/matplotlib/mplfinance) | NEW | 2019-12-05 16:32:32 | 2024-04-02 18:41:57 | 3601.0 | :heavy_check_mark: | |\n| [tsfeatures](https://github.com/Nixtla/tsfeatures) | NEW | 2019-11-20 17:29:55 | 2024-04-16 00:34:18 | 360.0 | :heavy_check_mark: | |\n| [ADRepository-Anomaly-detection-datasets](https://github.com/GuansongPang/ADRepository-Anomaly-detection-datasets) | NEW | 2020-10-15 23:05:21 | 2023-09-11 01:27:14 | 359.0 | :heavy_check_mark: | |\n| [TimeChart](https://github.com/huww98/TimeChart) | NEW | 2020-01-21 09:17:04 | 2024-01-28 13:26:56 | 359.0 | :heavy_check_mark: | |\n| [Indicators](https://github.com/debut-js/Indicators) | NEW | 2020-06-23 08:21:31 | 2024-09-22 13:00:41 | 358.0 | :heavy_check_mark: | |\n| [py-market-profile](https://github.com/bfolkens/py-market-profile) | NEW | 2017-10-04 04:55:28 | 2023-10-30 13:39:09 | 355.0 | :heavy_check_mark: | |\n| [community-templates](https://github.com/influxdata/community-templates) | NEW | 2020-01-14 19:27:53 | 2023-06-15 17:29:15 | 350.0 | :heavy_check_mark: | |\n| [dukascopy-node](https://github.com/Leo4815162342/dukascopy-node) | NEW | 2019-06-08 21:48:42 | 2024-08-08 20:06:25 | 348.0 | :heavy_check_mark: | |\n| [pysec](https://github.com/lukerosiak/pysec) | NEW | 2013-05-04 23:03:02 | 2014-01-22 21:15:22 | 344.0 | :heavy_multiplication_x: | |\n| [python-edgar](https://github.com/edgarminers/python-edgar) | NEW | 2014-06-11 01:20:09 | 2023-05-05 05:34:14 | 333.0 | :heavy_check_mark: | |\n| [edgar](https://github.com/datasets/edgar) | NEW | 2014-03-03 20:17:23 | 2018-07-07 16:31:59 | 328.0 | :heavy_multiplication_x: | |\n| [FOTOSPLOIT-](https://github.com/Juanhacker051/FOTOSPLOIT-) | NEW | 2020-07-12 23:02:30 | 2020-07-12 23:02:31 | 322.0 | :heavy_multiplication_x: | |\n| [SKAB](https://github.com/waico/SKAB) | NEW | 2020-07-19 06:15:02 | 2024-08-11 20:53:38 | 321.0 | :heavy_check_mark: | |\n| [motion-sense](https://github.com/mmalekzadeh/motion-sense) | NEW | 2018-02-06 20:41:21 | 2021-10-19 08:47:39 | 321.0 | :heavy_multiplication_x: | |\n| [lfai-landscape](https://github.com/lfai/lfai-landscape) | NEW | 2018-11-26 04:46:46 | 2024-09-24 04:28:50 | 321.0 | :heavy_check_mark: | |\n| [fibo](https://github.com/edmcouncil/fibo) | NEW | 2014-02-07 18:35:28 | 2024-09-20 19:08:26 | 320.0 | :heavy_check_mark: | |\n| [Python-Fundamentals](https://github.com/dlab-berkeley/Python-Fundamentals) | NEW | 2022-11-14 20:46:14 | 2024-08-29 23:16:20 | 32.0 | :heavy_check_mark: | |\n| [TabFormer](https://github.com/IBM/TabFormer) | NEW | 2020-10-20 17:20:36 | 2022-02-03 17:24:01 | 319.0 | :heavy_multiplication_x: | |\n| [SAITS](https://github.com/WenjieDu/SAITS) | NEW | 2021-12-07 14:57:37 | 2024-08-29 05:21:18 | 319.0 | :heavy_check_mark: | |\n| [beringei](https://github.com/facebookarchive/beringei) | NEW | 2016-10-11 00:45:02 | 2018-07-11 17:25:48 | 3173.0 | :heavy_multiplication_x: | |\n| [CryptoApp](https://github.com/iampawan/CryptoApp) | NEW | 2018-03-10 11:34:46 | 2019-05-25 03:16:23 | 316.0 | :heavy_multiplication_x: | |\n| [pynance](https://github.com/GriffinAustin/pynance) | NEW | 2014-11-05 23:11:23 | 2021-02-03 02:29:31 | 315.0 | :heavy_multiplication_x: | |\n| [pystock-crawler](https://github.com/eliangcs/pystock-crawler) | NEW | 2013-08-31 14:10:02 | 2014-10-19 08:09:57 | 311.0 | :heavy_multiplication_x: | |\n| [SFA](https://github.com/patrickzib/SFA) | NEW | 2016-02-22 14:32:19 | 2022-03-16 08:24:06 | 310.0 | :heavy_multiplication_x: | |\n| [EconomicTracker](https://github.com/OpportunityInsights/EconomicTracker) | NEW | 2020-06-17 04:35:43 | 2024-09-27 15:50:13 | 306.0 | :heavy_check_mark: | |\n| [LSTM---Stock-prediction](https://github.com/jgpavez/LSTM---Stock-prediction) | NEW | 2015-01-21 19:23:07 | 2021-01-03 22:04:52 | 306.0 | :heavy_multiplication_x: | |\n| [tempo](https://github.com/databrickslabs/tempo) | NEW | 2020-07-14 15:43:11 | 2024-07-11 21:53:09 | 306.0 | :heavy_check_mark: | |\n| [arctic](https://github.com/man-group/arctic) | NEW | 2015-05-29 13:37:30 | 2024-04-08 16:35:28 | 3050.0 | :heavy_check_mark: | |\n| [rollup](https://github.com/ankane/rollup) | NEW | 2020-09-07 22:28:56 | 2024-09-27 02:43:03 | 301.0 | :heavy_check_mark: | |\n| [generalized-kmeans-clustering](https://github.com/derrickburns/generalized-kmeans-clustering) | NEW | 2014-09-03 18:55:00 | 2024-01-19 03:22:22 | 299.0 | :heavy_check_mark: | |\n| [cryptoexchange](https://github.com/coingecko/cryptoexchange) | NEW | 2017-07-03 10:25:10 | 2020-06-22 13:16:13 | 298.0 | :heavy_multiplication_x: | |\n| [DoppelGANger](https://github.com/fjxmlzn/DoppelGANger) | NEW | 2019-09-28 19:58:41 | 2023-11-03 06:07:19 | 298.0 | :heavy_check_mark: | |\n| [simfin](https://github.com/SimFin/simfin) | NEW | 2019-09-25 13:25:42 | 2024-04-03 11:30:11 | 298.0 | :heavy_check_mark: | |\n| [neuralforecast](https://github.com/Nixtla/neuralforecast) | NEW | 2021-04-26 00:15:19 | 2024-09-23 15:26:40 | 2969.0 | :heavy_check_mark: | |\n| [awesome-TS-anomaly-detection](https://github.com/rob-med/awesome-TS-anomaly-detection) | NEW | 2017-12-19 15:05:20 | 2022-09-21 09:04:21 | 2920.0 | :heavy_multiplication_x: | |\n| [tardis-node](https://github.com/tardis-dev/tardis-node) | NEW | 2019-06-13 08:46:04 | 2024-09-26 07:34:44 | 292.0 | :heavy_check_mark: | |\n| [timeseries_gan](https://github.com/buriburisuri/timeseries_gan) | NEW | 2016-09-19 02:03:05 | 2017-11-08 16:52:41 | 291.0 | :heavy_multiplication_x: | |\n| [anomalyzer](https://github.com/lytics/anomalyzer) | NEW | 2014-07-11 23:29:39 | 2015-11-02 00:06:50 | 291.0 | :heavy_multiplication_x: | |\n| [R-Fundamentals](https://github.com/dlab-berkeley/R-Fundamentals) | NEW | 2023-01-31 16:47:29 | 2024-04-29 19:45:00 | 29.0 | :heavy_check_mark: | |\n| [paradigm-data-portal](https://github.com/paradigmxyz/paradigm-data-portal) | NEW | 2023-03-17 16:23:22 | 2023-06-02 04:00:10 | 289.0 | :heavy_check_mark: | |\n| [controllers](https://github.com/MetaMask/controllers) | NEW | 2018-05-29 12:55:25 | 2024-09-27 16:12:18 | 289.0 | :heavy_check_mark: | |\n| [Open Edgar](https://github.com/LexPredict/openedgar) | nan | 2018-05-07 15:32:31 | 2019-05-15 08:32:30 | 289.0 | :heavy_multiplication_x: | |\n| [tslearn](https://github.com/tslearn-team/tslearn) | NEW | 2017-05-04 13:08:13 | 2024-07-01 04:53:53 | 2888.0 | :heavy_check_mark: | |\n| [finance-dl](https://github.com/jbms/finance-dl) | NEW | 2018-10-04 21:44:22 | 2024-09-26 21:44:53 | 288.0 | :heavy_check_mark: | |\n| [Expert-Advisor-Studio](https://github.com/fintechees/Expert-Advisor-Studio) | NEW | 2019-02-18 17:52:25 | 2024-09-20 23:45:00 | 286.0 | :heavy_check_mark: | |\n| [ScraXBRL](https://github.com/tooksoi/ScraXBRL) | NEW | 2016-03-06 15:20:23 | 2017-01-18 23:54:44 | 285.0 | :heavy_multiplication_x: | |\n| [FundamentalAnalysis](https://github.com/JerBouma/FundamentalAnalysis) | NEW | 2019-04-08 11:44:25 | 2024-09-21 18:45:16 | 2835.0 | :heavy_check_mark: | |\n| [torque](https://github.com/econpy/torque) | NEW | 2013-12-09 06:28:43 | 2015-07-13 09:55:55 | 283.0 | :heavy_multiplication_x: | |\n| [binjr](https://github.com/binjr/binjr) | NEW | 2016-10-26 12:08:26 | 2024-07-19 12:57:18 | 283.0 | :heavy_check_mark: | |\n| [armadillo](https://github.com/patrickfav/armadillo) | NEW | 2017-12-19 00:35:28 | 2023-04-01 06:17:12 | 282.0 | :heavy_check_mark: | |\n| [data](https://github.com/open-covid-19/data) | NEW | 2020-03-14 06:40:00 | 2020-11-13 21:53:13 | 276.0 | :heavy_multiplication_x: | |\n| [DP-900T00A-Azure-Data-Fundamentals](https://github.com/MicrosoftLearning/DP-900T00A-Azure-Data-Fundamentals) | NEW | 2021-03-03 22:58:00 | 2024-09-09 16:55:35 | 276.0 | :heavy_check_mark: | |\n| [cal-heatmap](https://github.com/wa0x6e/cal-heatmap) | NEW | 2013-02-18 05:33:24 | 2024-03-03 18:32:30 | 2701.0 | :heavy_check_mark: | |\n| [investment_data](https://github.com/chenditc/investment_data) | NEW | 2022-07-19 11:41:27 | 2024-07-18 03:15:54 | 269.0 | :heavy_check_mark: | |\n| [timeseriescv](https://github.com/sam31415/timeseriescv) | NEW | 2018-09-06 22:23:29 | 2022-02-15 21:31:52 | 267.0 | :heavy_multiplication_x: | |\n| [rrd4j](https://github.com/rrd4j/rrd4j) | NEW | 2015-04-06 13:59:53 | 2024-08-30 15:18:33 | 266.0 | :heavy_check_mark: | |\n| [Disable-Firefox-Telemetry-and-Data-Collection](https://github.com/K3V1991/Disable-Firefox-Telemetry-and-Data-Collection) | NEW | 2022-07-25 10:07:41 | 2024-04-12 22:41:49 | 265.0 | :heavy_check_mark: | |\n| [Awesome-SSL4TS](https://github.com/qingsongedu/Awesome-SSL4TS) | NEW | 2023-06-22 00:34:15 | 2024-04-28 23:43:39 | 264.0 | :heavy_check_mark: | |\n| [openvdb](https://github.com/AcademySoftwareFoundation/openvdb) | NEW | 2013-04-12 18:39:57 | 2024-09-18 17:00:26 | 2615.0 | :heavy_check_mark: | |\n| [Visualis](https://github.com/WeBankFinTech/Visualis) | NEW | 2019-11-26 02:47:29 | 2024-03-20 09:12:50 | 261.0 | :heavy_check_mark: | |\n| [simfin-tutorials](https://github.com/SimFin/simfin-tutorials) | NEW | 2019-09-25 13:26:40 | 2023-05-02 14:33:28 | 259.0 | :heavy_check_mark: | |\n| [causalai](https://github.com/salesforce/causalai) | NEW | 2022-11-21 18:20:58 | 2023-09-22 19:29:38 | 256.0 | :heavy_check_mark: | |\n| [etherscan-labels](https://github.com/brianleect/etherscan-labels) | NEW | 2022-07-28 16:18:15 | 2023-10-01 18:22:35 | 254.0 | :heavy_check_mark: | |\n| [jquery-validation-unobtrusive](https://github.com/aspnet/jquery-validation-unobtrusive) | NEW | 2014-10-14 16:00:23 | 2024-09-27 21:29:54 | 253.0 | :heavy_check_mark: | |\n| [automating-technical-analysis](https://github.com/akurgat/automating-technical-analysis) | NEW | 2019-12-21 19:11:59 | 2024-02-02 07:20:52 | 251.0 | :heavy_check_mark: | |\n| [tiingo-python](https://github.com/hydrosquall/tiingo-python) | NEW | 2017-08-25 02:30:50 | 2024-09-22 00:27:30 | 250.0 | :heavy_check_mark: | |\n| [Everpix-Intelligence](https://github.com/everpix/Everpix-Intelligence) | NEW | 2014-01-09 07:29:57 | 2018-06-02 14:19:31 | 2450.0 | :heavy_multiplication_x: | |\n| [Open-Data-Catalog](https://github.com/azavea/Open-Data-Catalog) | NEW | 2011-06-16 13:21:20 | 2014-01-13 14:18:45 | 244.0 | :heavy_multiplication_x: | |\n| [Open-Data-Catalog](https://github.com/opendataphilly/Open-Data-Catalog) | NEW | 2011-06-16 13:21:20 | 2014-01-13 14:18:45 | 244.0 | :heavy_multiplication_x: | |\n| [DataFrame](https://github.com/hosseinmoein/DataFrame) | NEW | 2017-10-28 17:25:45 | 2024-09-17 13:48:45 | 2437.0 | :heavy_check_mark: | |\n| [IDTxl](https://github.com/pwollstadt/IDTxl) | NEW | 2015-07-16 07:14:21 | 2024-01-15 14:27:23 | 243.0 | :heavy_check_mark: | |\n| [cryptographic-autonomy-license](https://github.com/holochain/cryptographic-autonomy-license) | NEW | 2019-02-01 22:30:49 | 2019-12-18 19:21:52 | 241.0 | :heavy_multiplication_x: | |\n| [time-series-transformers-review](https://github.com/qingsongedu/time-series-transformers-review) | NEW | 2022-03-01 01:36:29 | 2024-04-06 21:12:07 | 2400.0 | :heavy_check_mark: | |\n| [tardis-machine](https://github.com/tardis-dev/tardis-machine) | NEW | 2019-06-13 09:18:54 | 2024-08-16 12:41:52 | 240.0 | :heavy_check_mark: | |\n| [trading-indicator](https://github.com/thanhnguyennguyen/trading-indicator) | NEW | 2020-01-30 01:04:36 | 2024-03-03 02:57:43 | 238.0 | :heavy_check_mark: | |\n| [griddb](https://github.com/griddb/griddb) | NEW | 2016-02-24 06:31:40 | 2024-06-24 02:20:26 | 2370.0 | :heavy_check_mark: | |\n| [Python-Practical-Application-on-Climate-Variability-Studies](https://github.com/royalosyin/Python-Practical-Application-on-Climate-Variability-Studies) | NEW | 2017-09-22 02:24:30 | 2024-07-28 06:22:46 | 236.0 | :heavy_check_mark: | |\n| [fushare](https://github.com/LowinLi/fushare) | NEW | 2018-07-19 05:46:20 | 2020-03-31 09:42:38 | 235.0 | :heavy_multiplication_x: | |\n| [TDengine](https://github.com/taosdata/TDengine) | NEW | 2019-07-11 08:33:48 | 2024-09-27 01:13:05 | 23264.0 | :heavy_check_mark: | |\n| [qlib-server](https://github.com/microsoft/qlib-server) | NEW | 2020-09-02 10:11:49 | 2022-07-08 02:15:09 | 232.0 | :heavy_multiplication_x: | |\n| [SDV](https://github.com/sdv-dev/SDV) | NEW | 2018-05-11 15:56:50 | 2024-09-27 15:12:09 | 2311.0 | :heavy_check_mark: | |\n| [kapacitor](https://github.com/influxdata/kapacitor) | NEW | 2015-08-31 14:54:42 | 2024-09-26 09:36:27 | 2310.0 | :heavy_check_mark: | |\n| [time-series-forecasting-pytorch](https://github.com/jinglescode/time-series-forecasting-pytorch) | NEW | 2021-04-29 09:57:29 | 2021-05-13 05:58:40 | 231.0 | :heavy_multiplication_x: | |\n| [Satellite-Image-Time-Series-Datasets](https://github.com/corentin-dfg/Satellite-Image-Time-Series-Datasets) | NEW | 2023-04-25 11:17:33 | 2024-09-26 07:45:14 | 231.0 | :heavy_check_mark: | |\n| [cryptory](https://github.com/dashee87/cryptory) | NEW | 2018-02-06 23:49:54 | 2018-06-12 23:40:41 | 229.0 | :heavy_multiplication_x: | |\n| [labelImg](https://github.com/HumanSignal/labelImg) | NEW | 2015-09-17 01:33:59 | 2022-09-22 22:12:32 | 22541.0 | :heavy_multiplication_x: | |\n| [labelImg](https://github.com/heartexlabs/labelImg) | NEW | 2015-09-17 01:33:59 | 2022-09-22 22:12:32 | 22541.0 | :heavy_multiplication_x: | |\n| [Stocks-Pattern-Analyzer](https://github.com/gaborvecsei/Stocks-Pattern-Analyzer) | NEW | 2021-01-17 14:27:08 | 2023-06-20 05:30:32 | 225.0 | :heavy_check_mark: | |\n| [FinQA](https://github.com/czyssrs/FinQA) | NEW | 2021-05-13 21:49:30 | 2022-06-06 02:12:33 | 225.0 | :heavy_multiplication_x: | |\n| [sec-api](https://github.com/janlukasschroeder/sec-api) | NEW | 2018-12-22 01:25:04 | 2022-09-12 18:17:55 | 224.0 | :heavy_multiplication_x: | |\n| [py-edgar](https://github.com/joeyism/py-edgar) | NEW | 2017-06-29 23:59:34 | 2022-11-15 11:37:55 | 222.0 | :heavy_check_mark: | |\n| [financial-datasets](https://github.com/virattt/financial-datasets) | NEW | 2024-03-29 00:56:11 | 2024-05-27 22:32:00 | 221.0 | :heavy_check_mark: | |\n| [nixtla](https://github.com/Nixtla/nixtla) | NEW | 2021-09-23 15:48:41 | 2024-09-27 20:07:03 | 2207.0 | :heavy_check_mark: | |\n| [cryptofeed](https://github.com/bmoscon/cryptofeed) | NEW | 2017-12-16 12:35:23 | 2024-09-23 00:54:42 | 2206.0 | :heavy_check_mark: | |\n| [DXY-COVID-19-Data](https://github.com/BlankerL/DXY-COVID-19-Data) | NEW | 2020-01-31 13:21:57 | 2022-04-19 10:35:23 | 2153.0 | :heavy_multiplication_x: | |\n| [public-datasets](https://github.com/blockchain-etl/public-datasets) | NEW | 2020-07-22 13:11:41 | 2024-06-26 16:30:14 | 214.0 | :heavy_check_mark: | |\n| [calmap](https://github.com/martijnvermaat/calmap) | NEW | 2015-12-05 19:46:51 | 2021-07-11 10:04:57 | 211.0 | :heavy_multiplication_x: | |\n| [Financial-Statement-Data-Analysis](https://github.com/1qweasdzxc/Financial-Statement-Data-Analysis) | NEW | 2018-03-25 09:19:51 | 2018-05-31 01:10:23 | 211.0 | :heavy_multiplication_x: | |\n| [FinMind](https://github.com/FinMind/FinMind) | NEW | 2018-12-16 07:16:25 | 2024-09-28 09:54:49 | 2100.0 | :heavy_check_mark: | |\n| [twitter-sentiment-visualisation](https://github.com/Lissy93/twitter-sentiment-visualisation) | NEW | 2015-07-24 09:25:24 | 2023-11-04 11:58:40 | 209.0 | :heavy_check_mark: | |\n| [Time-Series-Transformer](https://github.com/allen-chiang/Time-Series-Transformer) | NEW | 2020-03-23 13:04:19 | 2021-01-11 17:36:11 | 208.0 | :heavy_multiplication_x: | |\n| [kairos](https://github.com/agoragames/kairos) | NEW | 2012-04-11 19:24:08 | 2017-02-03 19:52:38 | 207.0 | :heavy_multiplication_x: | |\n| [wxee](https://github.com/aazuspan/wxee) | NEW | 2021-07-22 02:13:27 | 2023-12-22 06:59:33 | 206.0 | :heavy_check_mark: | |\n| [middle-out](https://github.com/schizofreny/middle-out) | NEW | 2017-11-20 17:09:11 | 2018-07-24 09:43:51 | 205.0 | :heavy_multiplication_x: | |\n| [.config](https://github.com/zszszszsz/.config) | NEW | 2020-06-23 17:51:35 | 2020-06-23 17:51:37 | 204.0 | :heavy_multiplication_x: | |\n| [PyRate](https://github.com/GeoscienceAustralia/PyRate) | NEW | 2015-05-25 02:12:46 | 2022-02-25 04:08:37 | 203.0 | :heavy_multiplication_x: | |\n| [calendar-heatmap](https://github.com/DKirwan/calendar-heatmap) | NEW | 2016-02-16 20:54:30 | 2019-03-12 22:48:22 | 2014.0 | :heavy_multiplication_x: | |\n| [CoinTrend](https://github.com/CoinTrend/CoinTrend) | NEW | 2022-10-28 16:22:23 | 2024-09-24 18:15:23 | 201.0 | :heavy_check_mark: | |\n| [ngram-type](https://github.com/ranelpadon/ngram-type) | NEW | 2020-10-25 23:49:00 | 2023-08-01 07:04:55 | 201.0 | :heavy_check_mark: | |\n| [downsampling-algorithm](https://github.com/haoel/downsampling-algorithm) | NEW | 2019-09-07 11:25:05 | 2023-04-21 15:52:18 | 200.0 | :heavy_check_mark: | |\n| [NSE-Stock-Scanner](https://github.com/deshwalmahesh/NSE-Stock-Scanner) | NEW | 2021-07-17 11:14:38 | 2022-02-15 15:15:44 | 200.0 | :heavy_multiplication_x: | |\n| [i2p.i2p](https://github.com/i2p/i2p.i2p) | NEW | 2012-05-26 20:54:59 | 2024-09-28 19:47:51 | 1991.0 | :heavy_check_mark: | |\n| [search_widget](https://github.com/apgapg/search_widget) | NEW | 2019-04-03 12:40:18 | 2022-05-02 11:00:07 | 198.0 | :heavy_multiplication_x: | |\n| [AmortizedCausalDiscovery](https://github.com/loeweX/AmortizedCausalDiscovery) | NEW | 2020-06-18 18:08:19 | 2022-03-25 13:03:02 | 198.0 | :heavy_multiplication_x: | |\n| [openmicroscopy](https://github.com/ome/openmicroscopy) | NEW | 2011-08-18 14:26:02 | 2024-08-15 12:39:02 | 196.0 | :heavy_check_mark: | |\n| [opentick](https://github.com/rustdesk/opentick) | NEW | 2018-08-26 14:02:09 | 2020-10-25 17:19:32 | 196.0 | :heavy_multiplication_x: | |\n| [DeepSense](https://github.com/yscacaca/DeepSense) | NEW | 2017-07-02 21:38:33 | 2017-12-12 23:44:24 | 196.0 | :heavy_multiplication_x: | |\n| [tstables](https://github.com/afiedler/tstables) | NEW | 2014-05-13 13:59:23 | 2015-10-10 17:37:47 | 195.0 | :heavy_multiplication_x: | |\n| [sjvisualizer](https://github.com/SjoerdTilmans/sjvisualizer) | NEW | 2022-02-12 13:30:09 | 2024-06-12 12:39:45 | 195.0 | :heavy_check_mark: | |\n| [Zenroom](https://github.com/dyne/Zenroom) | NEW | 2017-12-02 12:15:05 | 2024-09-24 14:50:59 | 195.0 | :heavy_check_mark: | |\n| [CalendarHeatmap](https://github.com/Zacharysp/CalendarHeatmap) | NEW | 2020-03-03 07:38:52 | 2020-10-20 22:38:25 | 194.0 | :heavy_multiplication_x: | |\n| [Gnip-Trend-Detection](https://github.com/twitterdev/Gnip-Trend-Detection) | NEW | 2015-01-26 19:37:03 | 2017-02-28 17:55:07 | 192.0 | :heavy_multiplication_x: | |\n| [EDGAR](https://github.com/TiesdeKok/UW_Python_Camp/blob/master/Materials/Session_5/EDGAR_walkthrough.ipynb) | nan | 2018-06-11 22:51:57 | 2018-07-10 18:03:52 | 19.0 | :heavy_multiplication_x: | |\n| [good-morning](https://github.com/petercerno/good-morning) | NEW | 2014-11-07 16:18:13 | 2017-08-31 14:52:06 | 189.0 | :heavy_multiplication_x: | |\n| [coinmarketcap-history](https://github.com/Waultics/coinmarketcap-history) | NEW | 2017-10-08 19:37:07 | 2020-03-07 03:58:10 | 188.0 | :heavy_multiplication_x: | |\n| [change-detection-tutorial](https://github.com/amanahuja/change-detection-tutorial) | NEW | 2014-01-21 20:34:43 | 2022-06-29 16:49:57 | 187.0 | :heavy_multiplication_x: | |\n| [marketstore](https://github.com/alpacahq/marketstore) | NEW | 2018-01-07 07:27:25 | 2022-11-07 01:51:10 | 1866.0 | :heavy_check_mark: | |\n| [binance-watch](https://github.com/rainner/binance-watch) | NEW | 2018-05-17 15:36:37 | 2022-01-04 17:44:41 | 186.0 | :heavy_multiplication_x: | |\n| [finnts](https://github.com/microsoft/finnts) | NEW | 2021-07-02 16:53:31 | 2024-08-05 15:07:05 | 184.0 | :heavy_check_mark: | |\n| [FlashDB](https://github.com/armink/FlashDB) | NEW | 2020-05-24 10:15:56 | 2024-09-17 09:29:42 | 1839.0 | :heavy_check_mark: | |\n| [prophet](https://github.com/facebook/prophet) | NEW | 2016-11-16 01:50:08 | 2024-09-29 00:33:14 | 18314.0 | :heavy_check_mark: | |\n| [yahoo-earnings-calendar](https://github.com/wenboyu2/yahoo-earnings-calendar) | NEW | 2016-12-23 08:36:43 | 2020-04-25 07:23:40 | 183.0 | :heavy_multiplication_x: | |\n| [OpenOA](https://github.com/NREL/OpenOA) | NEW | 2016-12-22 18:16:30 | 2024-05-24 18:55:57 | 183.0 | :heavy_check_mark: | |\n| [Fetching-Financial-Data](https://github.com/rbhatia46/Fetching-Financial-Data) | NEW | 2020-08-22 23:43:18 | 2020-08-25 03:15:52 | 182.0 | :heavy_multiplication_x: | |\n| [aaltd18](https://github.com/hfawaz/aaltd18) | NEW | 2018-08-02 13:13:26 | 2018-10-11 08:55:38 | 182.0 | :heavy_multiplication_x: | |\n| [gun](https://github.com/amark/gun) | NEW | 2014-07-31 15:52:10 | 2024-07-23 12:56:40 | 18068.0 | :heavy_check_mark: | |\n| [STLDecompose](https://github.com/jrmontag/STLDecompose) | NEW | 2017-10-16 20:27:52 | 2019-03-03 04:39:50 | 180.0 | :heavy_multiplication_x: | |\n| [mstables](https://github.com/caiobran/mstables) | NEW | 2019-02-20 21:00:59 | 2023-07-27 21:39:51 | 178.0 | :heavy_check_mark: | |\n| [AdaTime](https://github.com/emadeldeen24/AdaTime) | NEW | 2022-03-17 01:22:42 | 2023-06-07 13:04:27 | 178.0 | :heavy_check_mark: | |\n| [Awesome_Imputation](https://github.com/WenjieDu/Awesome_Imputation) | NEW | 2023-12-12 15:27:15 | 2024-06-22 16:50:47 | 176.0 | :heavy_check_mark: | |\n| [OpenCamera-Sensors](https://github.com/MobileRoboticsSkoltech/OpenCamera-Sensors) | NEW | 2020-09-14 17:02:01 | 2022-08-22 16:21:52 | 174.0 | :heavy_multiplication_x: | |\n| [awesome-time-series-analysis](https://github.com/youngdou/awesome-time-series-analysis) | NEW | 2018-10-21 13:17:13 | 2021-03-13 17:11:24 | 174.0 | :heavy_multiplication_x: | |\n| [zohmg](https://github.com/zohmg/zohmg) | NEW | 2009-06-01 15:35:35 | 2012-10-16 15:13:14 | 174.0 | :heavy_multiplication_x: | |\n| [oreilly_math_fundamentals_data_science](https://github.com/thomasnield/oreilly_math_fundamentals_data_science) | NEW | 2021-01-03 02:32:12 | 2024-05-15 14:02:24 | 174.0 | :heavy_check_mark: | |\n| [lstm-anomaly-detect](https://github.com/aurotripathy/lstm-anomaly-detect) | NEW | 2016-03-10 18:58:13 | 2016-03-10 20:19:04 | 173.0 | :heavy_multiplication_x: | |\n| [sec-api-python](https://github.com/janlukasschroeder/sec-api-python) | NEW | 2021-06-12 15:49:41 | 2024-08-15 08:16:42 | 173.0 | :heavy_check_mark: | |\n| [fili](https://github.com/yahoo/fili) | NEW | 2016-06-10 22:07:59 | 2023-07-10 20:17:43 | 172.0 | :heavy_check_mark: | |\n| [Aiops-Learning-Resources](https://github.com/LiaoWenzhe/Aiops-Learning-Resources) | NEW | 2021-12-23 14:25:41 | 2023-01-08 08:01:40 | 172.0 | :heavy_check_mark: | |\n| [openHistorian](https://github.com/GridProtectionAlliance/openHistorian) | NEW | 2015-09-30 13:34:37 | 2024-09-04 04:17:19 | 172.0 | :heavy_check_mark: | |\n| [Gekko-Datasets](https://github.com/xFFFFF/Gekko-Datasets) | NEW | 2018-04-04 22:00:35 | 2018-05-31 18:43:53 | 169.0 | :heavy_multiplication_x: | |\n| [reductstore](https://github.com/reductstore/reductstore) | NEW | 2021-12-23 21:27:52 | 2024-09-26 07:34:44 | 169.0 | :heavy_check_mark: | |\n| [backtesting-for-cryptocurrency-trading](https://github.com/CyberPunkMetalHead/backtesting-for-cryptocurrency-trading) | NEW | 2021-06-12 16:18:50 | 2021-06-20 11:52:38 | 168.0 | :heavy_multiplication_x: | |\n| [Python-Fundamentals-Legacy](https://github.com/dlab-berkeley/Python-Fundamentals-Legacy) | NEW | 2016-08-08 01:25:20 | 2023-01-06 22:30:42 | 168.0 | :heavy_check_mark: | |\n| [LSTM-SVM-RF-time-series](https://github.com/HiddenSharp/LSTM-SVM-RF-time-series) | NEW | 2020-05-12 15:05:40 | 2020-04-29 01:03:55 | 168.0 | :heavy_multiplication_x: | |\n| [oreilly_sql_fundamentals_for_data](https://github.com/thomasnield/oreilly_sql_fundamentals_for_data) | NEW | 2017-06-03 17:43:53 | 2024-07-09 15:11:57 | 167.0 | :heavy_check_mark: | |\n| [redtide](https://github.com/qks1lver/redtide) | NEW | 2018-08-19 20:13:44 | 2020-05-22 05:45:27 | 167.0 | :heavy_multiplication_x: | |\n| [GAN-RNN_Timeseries-imputation](https://github.com/IvanBongiorni/GAN-RNN_Timeseries-imputation) | NEW | 2020-03-27 17:10:10 | 2022-10-29 09:57:50 | 166.0 | :heavy_check_mark: | |\n| [AutoMunge](https://github.com/Automunge/AutoMunge) | NEW | 2018-11-07 16:21:23 | 2024-08-31 09:37:22 | 165.0 | :heavy_check_mark: | |\n| [hadoop-fundamentals](https://github.com/bbengfort/hadoop-fundamentals) | NEW | 2014-11-02 15:11:37 | 2016-08-23 14:54:03 | 165.0 | :heavy_multiplication_x: | |\n| [FinancialDataAnalysisWithPython](https://github.com/LearnPythonWithRune/FinancialDataAnalysisWithPython) | NEW | 2021-03-03 12:53:25 | 2022-06-26 16:16:27 | 165.0 | :heavy_check_mark: | |\n| [FinShark](https://github.com/teddysmithdev/FinShark) | NEW | 2023-08-14 14:17:47 | 2024-02-18 18:37:14 | 163.0 | :heavy_check_mark: | |\n| [investpy](https://github.com/alvarobartt/investpy) | NEW | 2018-11-27 14:51:47 | 2022-10-02 09:44:04 | 1626.0 | :heavy_check_mark: | |\n| [stocklook](https://github.com/zbarge/stocklook) | NEW | 2017-10-29 22:05:01 | 2018-06-22 03:07:36 | 162.0 | :heavy_multiplication_x: | |\n| [trainset](https://github.com/Geocene/trainset) | NEW | 2019-02-13 21:21:03 | 2022-11-21 21:25:07 | 162.0 | :heavy_check_mark: | |\n| [FRB](https://github.com/avelkoski/FRB) | NEW | 2016-01-10 15:55:11 | 2018-12-22 18:21:16 | 162.0 | :heavy_multiplication_x: | |\n| [dj-stripe](https://github.com/dj-stripe/dj-stripe) | NEW | 2013-08-05 15:31:30 | 2024-08-12 16:07:34 | 1616.0 | :heavy_check_mark: | |\n| [QuantInvestStrats](https://github.com/ArturSepp/QuantInvestStrats) | NEW | 2022-12-30 16:57:52 | 2024-09-10 06:45:57 | 160.0 | :heavy_check_mark: | |\n| [springMvcPlusMongo](https://github.com/caijiahao/springMvcPlusMongo) | NEW | 2016-11-11 06:17:47 | 2016-12-22 04:08:01 | 160.0 | :heavy_multiplication_x: | |\n| [financial_evaluation_dataset](https://github.com/alipay/financial_evaluation_dataset) | NEW | 2023-09-05 09:18:24 | 2023-12-25 04:23:05 | 160.0 | :heavy_check_mark: | |\n| [tsod](https://github.com/DHI/tsod) | NEW | 2021-01-12 09:53:32 | 2023-12-19 13:30:54 | 160.0 | :heavy_check_mark: | |\n| [miditime](https://github.com/cirlabs/miditime) | NEW | 2015-05-12 21:48:29 | 2016-09-29 21:56:25 | 160.0 | :heavy_multiplication_x: | |\n| [6S191_MIT_DeepLearning](https://github.com/abusufyanvu/6S191_MIT_DeepLearning) | NEW | 2022-01-16 11:01:50 | 2022-01-16 11:22:48 | 159.0 | :heavy_multiplication_x: | |\n| [dbg-pds](https://github.com/Deutsche-Boerse/dbg-pds) | NEW | 2017-08-24 10:22:58 | 2021-07-12 11:45:48 | 156.0 | :heavy_check_mark: | |\n| [TAcharts](https://github.com/cartercarlson/TAcharts) | NEW | 2019-09-05 00:02:11 | 2023-01-01 19:02:35 | 155.0 | :heavy_check_mark: | |\n| [TAcharts](https://github.com/carlfarterson/TAcharts) | NEW | 2019-09-05 00:02:11 | 2023-01-01 19:02:35 | 155.0 | :heavy_check_mark: | |\n| [candlestick_retriever](https://github.com/gosuto-ai/candlestick_retriever) | NEW | 2020-02-12 19:38:09 | 2021-01-19 11:57:40 | 155.0 | :heavy_multiplication_x: | |\n| [EdgarRenderer](https://github.com/Arelle/EdgarRenderer) | NEW | 2015-04-17 19:28:57 | 2024-09-20 13:31:23 | 155.0 | :heavy_check_mark: | |\n| [TSDB](https://github.com/WenjieDu/TSDB) | NEW | 2022-04-01 09:44:47 | 2024-09-11 14:01:34 | 155.0 | :heavy_check_mark: | |\n| [FTC-Skystone-Dark-Angels-Romania-2020](https://github.com/chrisneagu/FTC-Skystone-Dark-Angels-Romania-2020) | NEW | 2021-03-08 11:34:11 | 2021-03-08 11:45:12 | 154.0 | :heavy_multiplication_x: | |\n| [jhTAlib](https://github.com/joosthoeks/jhTAlib) | NEW | 2016-10-01 20:32:21 | 2024-09-02 12:47:18 | 152.0 | :heavy_check_mark: | |\n| [pandas-finance](https://github.com/davidastephens/pandas-finance) | NEW | 2015-11-22 22:06:03 | 2023-07-04 20:06:51 | 151.0 | :heavy_check_mark: | |\n| [Employee Count SEC Filings](https://github.com/healthgradient/sec_employee_information_extraction) | nan | 2018-06-26 23:33:51 | 2018-08-14 01:31:13 | 15.0 | :heavy_multiplication_x: | |\n| [Phinch](https://github.com/PitchInteractiveInc/Phinch) | NEW | 2013-11-07 17:59:53 | 2021-10-27 23:05:24 | 149.0 | :heavy_multiplication_x: | |\n| [EEG-Transformer](https://github.com/zwcolin/EEG-Transformer) | NEW | 2022-02-19 03:18:33 | 2022-10-10 17:40:38 | 148.0 | :heavy_check_mark: | |\n| [On-Device-FinLLM](https://github.com/Lattice-zjj/On-Device-FinLLM) | NEW | 2024-09-03 06:57:42 | 2024-09-09 07:27:34 | 148.0 | :heavy_check_mark: | |\n| [highfrequency](https://github.com/jonathancornelissen/highfrequency) | NEW | 2012-12-24 11:15:54 | 2022-12-05 21:01:34 | 147.0 | :heavy_check_mark: | |\n| [MarketData.jl](https://github.com/JuliaQuant/MarketData.jl) | NEW | 2014-01-07 14:49:27 | 2024-09-09 09:51:53 | 147.0 | :heavy_check_mark: | |\n| [Crypto-OpSec-SelfGuard-RoadMap](https://github.com/OffcierCia/Crypto-OpSec-SelfGuard-RoadMap) | NEW | 2021-06-22 18:06:25 | 2024-02-19 03:51:48 | 1454.0 | :heavy_check_mark: | |\n| [angular-chartjs](https://github.com/pipefail/angular-chartjs) | NEW | 2013-09-17 06:01:13 | 2015-09-25 19:49:00 | 145.0 | :heavy_multiplication_x: | |\n| [covid-19-germany-gae](https://github.com/jgehrcke/covid-19-germany-gae) | NEW | 2020-03-17 18:53:29 | 2023-04-29 13:22:49 | 145.0 | :heavy_check_mark: | |\n| [Financials-Extension](https://github.com/cmallwitz/Financials-Extension) | NEW | 2017-11-07 21:55:05 | 2024-09-02 19:37:37 | 145.0 | :heavy_check_mark: | |\n| [angular-chartjs](https://github.com/txbm/angular-chartjs) | NEW | 2013-09-17 06:01:13 | 2015-09-25 19:49:00 | 145.0 | :heavy_multiplication_x: | |\n| [wotan](https://github.com/hippke/wotan) | NEW | 2019-02-23 17:24:58 | 2021-09-24 07:06:34 | 145.0 | :heavy_multiplication_x: | |\n| [CFDS](https://github.com/financial-data-science/CFDS) | NEW | 2019-10-11 18:13:38 | 2020-10-24 14:42:12 | 144.0 | :heavy_multiplication_x: | |\n| [jquery-ajax-unobtrusive](https://github.com/aspnet/jquery-ajax-unobtrusive) | NEW | 2015-02-27 00:25:38 | 2024-09-16 22:08:53 | 144.0 | :heavy_check_mark: | |\n| [questdb](https://github.com/questdb/questdb) | NEW | 2014-04-28 23:29:15 | 2024-09-28 12:22:42 | 14372.0 | :heavy_check_mark: | |\n| [fhe-toolkit-linux](https://github.com/IBM/fhe-toolkit-linux) | NEW | 2020-05-04 21:32:24 | 2024-08-05 18:34:00 | 1436.0 | :heavy_check_mark: | |\n| [crypto](https://github.com/JesseVent/crypto) | NEW | 2017-12-19 02:51:58 | 2020-11-28 10:48:25 | 143.0 | :heavy_multiplication_x: | |\n| [GAN-AD](https://github.com/LiDan456/GAN-AD) | NEW | 2019-01-15 02:10:13 | 2019-01-15 02:35:20 | 142.0 | :heavy_multiplication_x: | |\n| [ydata-synthetic](https://github.com/ydataai/ydata-synthetic) | NEW | 2020-05-04 15:52:03 | 2024-09-27 01:52:54 | 1415.0 | :heavy_check_mark: | |\n| [hadoopcryptoledger](https://github.com/ZuInnoTe/hadoopcryptoledger) | NEW | 2016-03-28 16:08:49 | 2022-07-24 13:54:59 | 141.0 | :heavy_multiplication_x: | |\n| [calplot](https://github.com/tomkwok/calplot) | NEW | 2020-01-14 12:57:41 | 2022-10-31 07:51:53 | 141.0 | :heavy_check_mark: | |\n| [sec-parser](https://github.com/alphanome-ai/sec-parser) | NEW | 2023-09-09 15:13:18 | 2024-07-13 17:27:07 | 140.0 | :heavy_check_mark: | |\n| [R-Fundamentals-Legacy](https://github.com/dlab-berkeley/R-Fundamentals-Legacy) | NEW | 2016-11-14 17:43:54 | 2023-02-06 23:04:08 | 140.0 | :heavy_check_mark: | |\n| [sec-edgar-financials](https://github.com/farhadab/sec-edgar-financials) | NEW | 2018-12-03 04:37:05 | 2019-08-05 20:06:33 | 140.0 | :heavy_multiplication_x: | |\n| [InStock](https://github.com/myhhub/InStock) | NEW | 2023-03-21 01:23:26 | 2024-09-09 06:48:16 | 1397.0 | :heavy_check_mark: | |\n| [deep-quant](https://github.com/euclidjda/deep-quant) | NEW | 2017-09-18 20:37:13 | 2019-07-23 19:59:28 | 139.0 | :heavy_multiplication_x: | |\n| [financial_fundamentals](https://github.com/andrewkittredge/financial_fundamentals) | NEW | 2013-02-27 03:40:41 | 2015-03-22 21:51:47 | 139.0 | :heavy_multiplication_x: | |\n| [ACT](https://github.com/ARM-DOE/ACT) | NEW | 2019-03-11 15:19:03 | 2024-09-26 21:21:18 | 138.0 | :heavy_check_mark: | |\n| [Stock-Prediction](https://github.com/alisonmitchell/Stock-Prediction) | NEW | 2021-02-25 17:18:31 | 2023-12-22 15:52:39 | 136.0 | :heavy_check_mark: | |\n| [timeseries-generator](https://github.com/Nike-Inc/timeseries-generator) | NEW | 2021-07-20 20:15:19 | 2024-03-18 08:03:03 | 136.0 | :heavy_check_mark: | |\n| [owler-scraper](https://github.com/oxylabs/owler-scraper) | NEW | 2023-12-18 11:15:38 | 2024-04-19 08:31:25 | 136.0 | :heavy_check_mark: | |\n| [tradingview-udf-binance-node](https://github.com/bergusman/tradingview-udf-binance-node) | NEW | 2018-08-22 01:37:19 | 2019-10-14 15:37:19 | 135.0 | :heavy_multiplication_x: | |\n| [venice](https://github.com/useVenice/venice) | NEW | 2022-08-10 03:19:47 | 2024-04-02 00:44:42 | 135.0 | :heavy_check_mark: | |\n| [moonstream](https://github.com/bugout-dev/moonstream) | NEW | 2021-07-01 23:01:21 | 2024-09-24 17:42:56 | 135.0 | :heavy_check_mark: | |\n| [api](https://github.com/moonstream-to/api) | NEW | 2021-07-01 23:01:21 | 2024-09-24 17:42:56 | 135.0 | :heavy_check_mark: | |\n| [acra](https://github.com/cossacklabs/acra) | NEW | 2016-11-14 16:23:25 | 2024-09-17 12:07:16 | 1349.0 | :heavy_check_mark: | |\n| [finlib](https://github.com/hartktmk/finlib) | NEW | 2019-05-12 05:00:55 | 2021-03-23 20:03:28 | 134.0 | :heavy_check_mark: | |\n| [open-crypto](https://github.com/vapor/open-crypto) | NEW | 2016-08-05 22:00:21 | 2020-07-13 23:43:44 | 134.0 | :heavy_multiplication_x: | |\n| [datafeed](https://github.com/yinhm/datafeed) | NEW | 2011-12-22 06:58:49 | 2014-05-30 08:11:40 | 133.0 | :heavy_multiplication_x: | |\n| [Clymene](https://github.com/Clymene-project/Clymene) | NEW | 2021-04-26 04:20:44 | 2023-10-20 13:19:54 | 133.0 | :heavy_check_mark: | |\n| [FXModelValidation](https://github.com/plandem/FXModelValidation) | NEW | 2014-11-17 20:06:02 | 2015-07-24 14:30:16 | 133.0 | :heavy_multiplication_x: | |\n| [hanzo.js](https://github.com/hanzoai/hanzo.js) | NEW | 2015-03-23 00:56:44 | 2019-11-07 01:06:14 | 132.0 | :heavy_multiplication_x: | |\n| [InteractiveVis](https://github.com/oxfordinternetinstitute/InteractiveVis) | NEW | 2012-05-24 15:54:46 | 2015-10-16 11:13:41 | 131.0 | :heavy_multiplication_x: | |\n| [spacetime-vis](https://github.com/oscarperpinan/spacetime-vis) | NEW | 2012-06-01 15:37:27 | 2018-04-05 10:44:51 | 131.0 | :heavy_multiplication_x: | |\n| [tigramite](https://github.com/jakobrunge/tigramite) | NEW | 2017-05-15 10:20:26 | 2024-07-17 08:29:53 | 1302.0 | :heavy_check_mark: | |\n| [jsnlog.js](https://github.com/mperdeck/jsnlog.js) | NEW | 2014-02-24 09:20:27 | 2021-10-03 11:18:18 | 130.0 | :heavy_multiplication_x: | |\n| [SEC Parsing](https://github.com/healthgradient/sec-doc-info-extraction/blob/master/classify_sections_containing_relevant_information.ipynb) | nan | 2018-06-16 14:30:06 | 2018-06-16 17:23:46 | 13.0 | :heavy_multiplication_x: | |\n| [coinbash](https://github.com/8go/coinbash) | NEW | 2017-12-04 12:58:24 | 2022-05-17 17:15:47 | 129.0 | :heavy_multiplication_x: | |\n| [finreportr](https://github.com/sewardlee337/finreportr) | NEW | 2015-08-02 21:20:24 | 2022-01-17 07:24:26 | 128.0 | :heavy_multiplication_x: | |\n| [ElliottWaveAnalyzer](https://github.com/btcorgtfo/ElliottWaveAnalyzer) | NEW | 2021-05-07 19:17:48 | 2024-06-05 17:55:12 | 128.0 | :heavy_check_mark: | |\n| [fxl](https://github.com/zero-one-group/fxl) | NEW | 2020-04-18 13:18:54 | 2021-09-14 09:48:27 | 128.0 | :heavy_multiplication_x: | |\n| [SwiftUI-Crypto-MVVM-CoreData-Combine](https://github.com/SwiftfulThinking/SwiftUI-Crypto-MVVM-CoreData-Combine) | NEW | 2021-05-23 22:22:22 | 2021-05-23 22:24:10 | 128.0 | :heavy_multiplication_x: | |\n| [element-china-area-data](https://github.com/Plortinus/element-china-area-data) | NEW | 2017-03-01 06:10:33 | 2023-10-11 05:20:51 | 1277.0 | :heavy_check_mark: | |\n| [tsbs](https://github.com/timescale/tsbs) | NEW | 2018-08-08 14:30:28 | 2023-09-21 13:18:59 | 1271.0 | :heavy_check_mark: | |\n| [EDGAR](https://github.com/bellingcat/EDGAR) | NEW | 2023-10-25 18:13:30 | 2024-09-18 17:27:42 | 127.0 | :heavy_check_mark: | |\n| [financial_stock_knowledge_graph](https://github.com/kevin-meng/financial_stock_knowledge_graph) | NEW | 2020-02-06 05:41:55 | 2021-10-05 10:42:29 | 127.0 | :heavy_multiplication_x: | |\n| [Thief-Cat](https://github.com/FalseKSCH/Thief-Cat) | NEW | 2023-07-13 06:18:54 | 2023-08-07 09:38:27 | 127.0 | :heavy_check_mark: | |\n| [FinRL-Meta](https://github.com/AI4Finance-Foundation/FinRL-Meta) | NEW | 2021-02-16 11:30:17 | 2024-08-06 01:14:43 | 1255.0 | :heavy_check_mark: | |\n| [EarningsCall_Dataset](https://github.com/GeminiLn/EarningsCall_Dataset) | NEW | 2019-05-30 02:30:24 | 2022-08-04 21:30:01 | 125.0 | :heavy_multiplication_x: | |\n| [tsgm](https://github.com/AlexanderVNikitin/tsgm) | NEW | 2022-06-03 08:35:31 | 2024-08-16 14:41:35 | 124.0 | :heavy_check_mark: | |\n| [common-domain-model](https://github.com/finos/common-domain-model) | NEW | 2018-02-08 11:42:16 | 2024-09-19 12:31:19 | 124.0 | :heavy_check_mark: | |\n| [streamlit_finance_chart](https://github.com/paduel/streamlit_finance_chart) | NEW | 2019-10-21 18:27:09 | 2019-10-22 16:58:45 | 123.0 | :heavy_multiplication_x: | |\n| [msda](https://github.com/ajayarunachalam/msda) | NEW | 2021-02-03 17:18:35 | 2021-10-07 13:13:47 | 123.0 | :heavy_multiplication_x: | |\n| [blockhead](https://github.com/darrylyeo/blockhead) | NEW | 2020-10-22 01:35:50 | 2024-08-26 16:26:14 | 123.0 | :heavy_check_mark: | |\n| [Australian-Open-Banking-Data-Database](https://github.com/LukePrior/Australian-Open-Banking-Data-Database) | NEW | 2020-10-30 09:35:15 | 2024-09-06 01:36:01 | 123.0 | :heavy_check_mark: | |\n| [covid19](https://github.com/pomber/covid19) | NEW | 2020-03-13 04:40:32 | 2023-03-10 08:32:41 | 1227.0 | :heavy_check_mark: | |\n| [brein-time-utilities](https://github.com/Breinify/brein-time-utilities) | NEW | 2016-03-03 03:09:03 | 2023-02-24 01:56:52 | 122.0 | :heavy_check_mark: | |\n| [crypto_identifier](https://github.com/Acceis/crypto_identifier) | NEW | 2017-11-30 13:04:49 | 2018-01-04 11:04:44 | 121.0 | :heavy_multiplication_x: | |\n| [time_series_data_mining](https://github.com/fitzgerald0/time_series_data_mining) | NEW | 2019-05-12 10:29:17 | 2022-02-22 12:18:36 | 121.0 | :heavy_multiplication_x: | |\n| [laravel-model-json](https://github.com/vildanbina/laravel-model-json) | NEW | 2023-01-18 14:10:24 | 2024-09-19 13:13:58 | 121.0 | :heavy_check_mark: | |\n| [MessyTimeSeries.jl](https://github.com/fipelle/MessyTimeSeries.jl) | NEW | 2019-10-30 15:43:14 | 2022-12-09 18:11:36 | 121.0 | :heavy_check_mark: | |\n| [astsa](https://github.com/nickpoison/astsa) | NEW | 2016-11-25 17:43:41 | 2024-09-28 18:54:27 | 120.0 | :heavy_check_mark: | |\n| [DeepTimeSeries](https://github.com/pipidog/DeepTimeSeries) | NEW | 2018-01-25 02:47:17 | 2018-01-26 19:41:20 | 119.0 | :heavy_multiplication_x: | |\n| [time_series](https://github.com/Open-Power-System-Data/time_series) | NEW | 2015-10-30 14:58:41 | 2020-10-06 17:56:21 | 119.0 | :heavy_multiplication_x: | |\n| [Sentiment-analysis-of-financial-news-data](https://github.com/gyanesh-m/Sentiment-analysis-of-financial-news-data) | NEW | 2017-01-30 16:23:25 | 2019-12-09 17:40:07 | 119.0 | :heavy_multiplication_x: | |\n| [killrweather](https://github.com/killrweather/killrweather) | NEW | 2014-10-07 16:53:21 | 2016-12-20 02:45:16 | 1182.0 | :heavy_multiplication_x: | |\n| [Unsupervised-Deep-Learning-Framework-for-Anomaly-Detection-in-Time-Series-](https://github.com/ZhouYuxuanYX/Unsupervised-Deep-Learning-Framework-for-Anomaly-Detection-in-Time-Series-) | NEW | 2018-10-10 12:00:44 | 2022-12-02 03:24:23 | 118.0 | :heavy_check_mark: | |\n| [egads](https://github.com/yahoo/egads) | NEW | 2015-05-06 17:47:52 | 2022-01-04 16:32:30 | 1172.0 | :heavy_multiplication_x: | |\n| [tokencaps](https://github.com/pRoy24/tokencaps) | NEW | 2017-11-26 03:00:37 | 2018-10-19 06:15:31 | 117.0 | :heavy_multiplication_x: | |\n| [Financial-data-collection-from-web-](https://github.com/herrkun/Financial-data-collection-from-web-) | NEW | 2019-04-30 08:15:08 | 2019-04-30 11:23:19 | 117.0 | :heavy_multiplication_x: | |\n| [machinelearning4finance](https://github.com/manujajay/machinelearning4finance) | NEW | 2023-09-09 07:13:59 | 2024-02-24 20:01:07 | 117.0 | :heavy_check_mark: | |\n| [covid-19](https://github.com/datasets/covid-19) | NEW | 2020-03-07 11:20:47 | 2022-04-17 06:16:05 | 1160.0 | :heavy_multiplication_x: | |\n| [Python_Portfolio__VaR_Tool](https://github.com/MBKraus/Python_Portfolio__VaR_Tool) | NEW | 2018-01-20 19:31:15 | 2021-02-17 18:11:53 | 116.0 | :heavy_multiplication_x: | |\n| [facette](https://github.com/facette/facette) | NEW | 2011-08-04 16:28:07 | 2020-06-11 07:45:09 | 1154.0 | :heavy_multiplication_x: | |\n| [ciphr](https://github.com/frohoff/ciphr) | NEW | 2013-09-25 04:42:53 | 2018-08-04 01:36:10 | 115.0 | :heavy_multiplication_x: | |\n| [Phirautee](https://github.com/Viralmaniar/Phirautee) | NEW | 2020-04-11 05:59:10 | 2020-08-11 02:23:11 | 115.0 | :heavy_multiplication_x: | |\n| [Stock-SEC-Data-Dashboard](https://github.com/hrshtsharma17/Stock-SEC-Data-Dashboard) | NEW | 2023-08-25 22:21:19 | 2023-09-08 17:36:59 | 115.0 | :heavy_check_mark: | |\n| [tardis-python](https://github.com/tardis-dev/tardis-python) | NEW | 2019-08-14 08:58:16 | 2024-08-03 11:41:31 | 115.0 | :heavy_check_mark: | |\n| [FinanceDataReader](https://github.com/FinanceData/FinanceDataReader) | NEW | 2018-04-19 13:51:59 | 2024-09-09 17:59:03 | 1146.0 | :heavy_check_mark: | |\n| [dataconnector](https://github.com/brentadamson/dataconnector) | NEW | 2021-03-21 19:50:49 | 2022-02-28 00:58:10 | 114.0 | :heavy_check_mark: | |\n| [DataFX](https://github.com/guigarage/DataFX) | NEW | 2017-01-16 18:52:23 | 2018-05-23 20:11:54 | 114.0 | :heavy_multiplication_x: | |\n| [Nginx-Lua-Anti-DDoS](https://github.com/C0nw0nk/Nginx-Lua-Anti-DDoS) | NEW | 2019-08-21 23:52:09 | 2022-05-12 14:35:01 | 1133.0 | :heavy_multiplication_x: | |\n| [cryo](https://github.com/paradigmxyz/cryo) | NEW | 2023-06-27 00:11:53 | 2024-05-23 16:34:45 | 1133.0 | :heavy_check_mark: | |\n| [roll](https://github.com/jjf234/roll) | NEW | 2016-04-02 12:42:16 | 2024-09-27 15:14:01 | 113.0 | :heavy_check_mark: | |\n| [financial-data-structures](https://github.com/Jackal08/financial-data-structures) | NEW | 2018-05-07 19:44:37 | 2020-02-21 14:22:00 | 113.0 | :heavy_multiplication_x: | |\n| [cryptogalaxy](https://github.com/milkywaybrain/cryptogalaxy) | NEW | 2021-04-08 01:09:18 | 2021-12-31 12:56:23 | 113.0 | :heavy_check_mark: | |\n| [roll](https://github.com/jasonjfoster/roll) | NEW | 2016-04-02 12:42:16 | 2024-09-27 15:14:01 | 113.0 | :heavy_check_mark: | |\n| [quokka](https://github.com/marsupialtail/quokka) | NEW | 2021-11-19 01:17:06 | 2023-09-30 04:17:34 | 1123.0 | :heavy_check_mark: | |\n| [StreamAD](https://github.com/Fengrui-Liu/StreamAD) | NEW | 2020-11-16 02:22:00 | 2023-05-11 10:01:29 | 112.0 | :heavy_check_mark: | |\n| [TimeSeries-GAN](https://github.com/numancelik34/TimeSeries-GAN) | NEW | 2019-12-09 11:29:52 | 2019-12-13 10:33:41 | 112.0 | :heavy_multiplication_x: | |\n| [Deep_XF](https://github.com/ajayarunachalam/Deep_XF) | NEW | 2021-10-26 08:20:45 | 2022-12-08 13:58:47 | 112.0 | :heavy_check_mark: | |\n| [coinpare](https://github.com/piotrmurach/coinpare) | NEW | 2018-04-29 19:32:51 | 2023-09-24 21:22:14 | 112.0 | :heavy_check_mark: | |\n| [tsfile](https://github.com/thulab/tsfile) | NEW | 2017-03-30 14:45:08 | 2018-12-18 03:30:06 | 112.0 | :heavy_multiplication_x: | |\n| [cs-fundamentals](https://github.com/connor11528/cs-fundamentals) | NEW | 2016-12-29 21:47:23 | 2024-06-21 17:04:56 | 1119.0 | :heavy_check_mark: | |\n| [finances-app](https://github.com/luism6n/finances-app) | NEW | 2022-06-18 22:58:40 | 2022-09-25 19:27:44 | 111.0 | :heavy_multiplication_x: | |\n| [FinNLP](https://github.com/AI4Finance-Foundation/FinNLP) | NEW | 2023-02-07 09:21:25 | 2024-07-01 08:08:36 | 1108.0 | :heavy_check_mark: | |\n| [TSML.jl](https://github.com/IBM/TSML.jl) | NEW | 2019-01-31 03:57:56 | 2024-05-24 14:09:20 | 110.0 | :heavy_check_mark: | |\n| [arbitragerepair](https://github.com/vicaws/arbitragerepair) | NEW | 2020-08-19 17:04:12 | 2024-01-10 13:24:38 | 110.0 | :heavy_check_mark: | |\n| [https://github.com/timestocome/StockMarketData](https://github.com/timestocome/StockMarketData) | nan | 2017-05-10 21:49:45 | 2017-08-06 19:23:18 | 11.0 | :heavy_multiplication_x: | |\n| [sec-xbrl](https://github.com/altova/sec-xbrl) | NEW | 2014-09-20 18:08:27 | 2015-07-31 15:34:33 | 109.0 | :heavy_multiplication_x: | |\n| [logisland](https://github.com/Hurence/logisland) | NEW | 2016-02-02 10:27:21 | 2023-01-24 08:45:19 | 109.0 | :heavy_check_mark: | |\n| [scrapy-wayback-machine](https://github.com/sangaline/scrapy-wayback-machine) | NEW | 2017-04-05 01:21:25 | 2021-03-31 00:00:47 | 109.0 | :heavy_multiplication_x: | |\n| [Get-Things-Done-with-Prompt-Engineering-and-LangChain](https://github.com/curiousily/Get-Things-Done-with-Prompt-Engineering-and-LangChain) | NEW | 2023-04-12 21:11:48 | 2024-01-07 15:10:12 | 1085.0 | :heavy_check_mark: | |\n| [SEC-EDGAR-text](https://github.com/alions7000/SEC-EDGAR-text) | NEW | 2017-05-22 21:11:38 | 2023-05-29 18:26:33 | 108.0 | :heavy_check_mark: | |\n| [CoinWatch](https://github.com/shorthouse/CoinWatch) | NEW | 2023-06-18 11:28:46 | 2024-08-21 17:10:52 | 107.0 | :heavy_check_mark: | |\n| [funda-scraper](https://github.com/whchien/funda-scraper) | NEW | 2022-09-12 18:53:46 | 2024-06-10 14:39:38 | 107.0 | :heavy_check_mark: | |\n| [covid-notebooks](https://github.com/CODAIT/covid-notebooks) | NEW | 2020-04-22 16:36:35 | 2022-02-24 19:03:18 | 104.0 | :heavy_multiplication_x: | |\n| [piecewise](https://github.com/DataDog/piecewise) | NEW | 2017-06-26 18:19:43 | 2019-03-18 16:23:18 | 104.0 | :heavy_multiplication_x: | |\n| [tsdl](https://github.com/FinYang/tsdl) | NEW | 2018-11-08 08:20:06 | 2020-07-12 23:35:21 | 103.0 | :heavy_multiplication_x: | |\n| [Data_Science_Fundamentals](https://github.com/dziganto/Data_Science_Fundamentals) | NEW | 2017-09-18 18:38:15 | 2018-06-25 19:45:25 | 102.0 | :heavy_multiplication_x: | |\n| [full_fred](https://github.com/7astro7/full_fred) | NEW | 2021-03-15 22:56:40 | 2021-11-19 06:25:31 | 102.0 | :heavy_multiplication_x: | |\n| [Deep-Learning-For-Hackers](https://github.com/curiousily/Deep-Learning-For-Hackers) | NEW | 2019-04-24 06:06:44 | 2020-04-23 06:08:46 | 1017.0 | :heavy_multiplication_x: | |\n| [telemanom](https://github.com/khundman/telemanom) | NEW | 2018-06-01 20:33:20 | 2020-07-12 21:01:07 | 1017.0 | :heavy_multiplication_x: | |\n| [sec-edgar](https://github.com/sec-edgar/sec-edgar) | NEW | 2013-11-27 21:27:22 | 2024-07-20 17:30:07 | 1016.0 | :heavy_check_mark: | |\n| [functime](https://github.com/neocortexdb/functime) | NEW | 2023-06-05 23:38:27 | 2024-06-15 14:05:00 | 1015.0 | :heavy_check_mark: | |\n| [plotly-resampler](https://github.com/predict-idlab/plotly-resampler) | NEW | 2021-11-20 10:51:56 | 2024-08-24 15:16:00 | 1013.0 | :heavy_check_mark: | |\n| [pump-and-dump-dataset](https://github.com/SystemsLab-Sapienza/pump-and-dump-dataset) | NEW | 2020-10-22 08:03:13 | 2021-11-23 14:21:39 | 101.0 | :heavy_multiplication_x: | |\n| [finam-export](https://github.com/ffeast/finam-export) | NEW | 2016-11-02 19:15:03 | 2021-11-04 10:00:52 | 101.0 | :heavy_multiplication_x: | |\n| [readabs](https://github.com/MattCowgill/readabs) | NEW | 2018-04-03 00:28:46 | 2024-09-10 22:03:43 | 101.0 | :heavy_check_mark: | |\n| [DeepEcho](https://github.com/sdv-dev/DeepEcho) | NEW | 2020-06-13 23:08:29 | 2024-09-23 19:06:20 | 101.0 | :heavy_check_mark: | |\n| [RedisTimeSeries](https://github.com/RedisTimeSeries/RedisTimeSeries) | NEW | 2018-01-08 09:55:32 | 2024-09-09 11:28:57 | 1006.0 | :heavy_check_mark: | |\n| [fixofx](https://github.com/wesabe/fixofx) | NEW | 2010-07-23 19:25:03 | 2011-01-01 03:58:04 | 100.0 | :heavy_multiplication_x: | |\n| [etoolbox-authoring-kit](https://github.com/exadel-inc/etoolbox-authoring-kit) | NEW | 2019-09-05 14:14:26 | 2024-08-30 10:21:36 | 100.0 | :heavy_check_mark: | |\n| [cryptonice](https://github.com/F5-Labs/cryptonice) | NEW | 2020-06-15 15:58:51 | 2021-08-04 17:27:08 | 100.0 | :heavy_multiplication_x: | |" }, { "path": "generated_wiki/data_processing_techniques_and_transformations.md", "content": "| repo | comment | created_at | last_commit | star_count | repo_status | rating |\n|:----------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------|\n| [Advanced ML](https://github.com/BlackArbsCEO/Adv_Fin_ML_Exercises) | Exercises to book [advances in financial machine learning](https://www.wiley.com/en-us/Advances+in+Financial+Machine+Learning-p-9781119482109). Relevant topics include data cleaning and outlier detection (using MAD) | 2018-04-25 17:22:40 | 2020-01-16 17:25:41 | 1698.0 | :heavy_multiplication_x: | :star:x4 |\n| [Twitter-Trends](https://github.com/Medha11/Twitter-Trends) | sentiment analysis baed on twitter data. Relevant topics include data cleaning/tokenization/data aggregation using mangodb etc. | 2017-05-22 17:07:45 | 2017-05-23 08:06:27 | 99.0 | :heavy_multiplication_x: | :star:x3 |\n| [Google-Finance-Stock-Data-Analysis](https://github.com/hpnhxxwn/Google-Finance-Stock-Data-Analysis) | data processing platform which stream data from kafka. The example shows two incoming data stream stock vs tweets and two spark streams are created to consume the kafka data then end results are stored in cassandra. Older tech stacks were used and not actively maintained. | 2017-07-23 02:59:59 | 2017-07-23 03:10:35 | 82.0 | :heavy_multiplication_x: | :star:x3 |\n| [finserv-application-blueprint](https://github.com/mapr-demos/finserv-application-blueprint) | generate streamable data using mapr converged data platfrom built mostly in java. Uses apache [zepplin](https://zeppelin.apache.org/) for web visualization | 2016-09-26 19:42:54 | 2021-06-07 17:38:13 | 84.0 | :heavy_multiplication_x: | :star:x2 |\n| [cointrader](https://github.com/timolson/cointrader) | java based platform for trading crypto. Relevant sections including using esper event queries to transform data and place orders | 2014-06-01 01:14:12 | 2022-06-21 01:03:49 | 451.0 | :heavy_multiplication_x: | :star:x2 |\n| [CryptoNets](https://github.com/microsoft/CryptoNets) | CryptoNets is a demonstration of the use of Neural-Networks over data encrypted with [Homomorphic Encryption](https://www.cs.cmu.edu/~odonnell/hits09/gentry-homomorphic-encryption.pdf). Homomorphic Encryptions allow performing operations such as addition and multiplication over data while it is encrypted. | 2019-06-02 05:48:39 | 2022-09-09 15:57:24 | 280.0 | :heavy_multiplication_x: | :star:x2 |\n| [plaid-to-gsheets](https://github.com/williamlmao/plaid-to-gsheets) | NEW | 2021-12-12 19:53:14 | 2023-02-03 15:36:49 | 71.0 | :heavy_check_mark: | |\n| [ninjabook](https://github.com/ninja-quant/ninjabook) | NEW | 2024-04-10 01:01:10 | 2024-04-21 16:42:28 | 150.0 | :heavy_check_mark: | |\n| [Major-project-list](https://github.com/ManojKumarPatnaik/Major-project-list) | NEW | 2021-09-04 11:17:44 | 2024-09-07 15:22:27 | 115.0 | :heavy_check_mark: | |" }, { "path": "generated_wiki/deep_learning_and_reinforcement_learning.md", "content": "| repo | comment | created_at | last_commit | star_count | repo_status | rating |\n|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------|\n| [FinRL-Library](https://github.com/AI4Finance-LLC/FinRL-Library) | started by Columbia university engineering students and designed as an end to end deep reinforcement learning library for automated trading platform. Implementation of DQN DDQN DDPG etc using PyTorch and [gym](https://gym.openai.com/) use [pyfolio](https://github.com/quantopian/pyfolio) for showing backtesting stats. Big contributions on Proximal Policy Optimization (PPO) advantage actor critic (A2C) and Deep Deterministic Policy Gradient (DDPG) agents for trading | 2020-07-26 13:18:16 | 2024-09-28 02:56:03 | 9697.0 | :heavy_check_mark: | :star:x5 |\n| [Stock-Prediction-Models](https://github.com/huseinzol05/Stock-Prediction-Models) | very good curated list of notebooks showing deep learning + reinforcement learning models. Also contain topics on outlier detections/overbought oversold study/monte carlo simulartions/sentiment analysis from text (text storage/parsing is not detailed but it mentioned using [BERT](https://github.com/google-research/bert)) | 2017-12-18 10:49:59 | 2021-01-05 10:31:50 | 7924.0 | :heavy_multiplication_x: | :star:x5 |\n| [AI Trading](https://github.com/borisbanushev/stockpredictionai/blob/master/readme2.md) | AI to predict stock market movements. | 2019-01-09 08:02:47 | 2019-02-11 16:32:47 | 4094.0 | :heavy_multiplication_x: | :star:x5 |\n| [Deep Learning IV](https://github.com/achillesrasquinha/bulbea) | Bulbea: Deep Learning based Python Library. | 2017-03-09 06:11:06 | 2017-03-19 07:42:49 | 2032.0 | :heavy_multiplication_x: | :star:x5 |\n| [RLTrader](https://github.com/notadamking/RLTrader) | predecessor to [tensortrade](https://github.com/tensortrade-org/tensortrade) uses open api [gym](https://gym.openai.com/) and neat way to render matplotlib plots in real time. Also explains LSTM/data stationarity/Bayesian optimization using [Optuna](https://github.com/optuna/optuna) etc. | 2019-04-27 18:35:15 | 2019-10-17 16:25:49 | 1731.0 | :heavy_multiplication_x: | :star:x5 |\n| [Deep Learning III](https://github.com/Rachnog/Deep-Trading) | Algorithmic trading with deep learning experiments. | 2016-06-18 18:23:06 | 2018-08-07 15:24:45 | 1429.0 | :heavy_multiplication_x: | :star:x5 |\n| [Personae](https://github.com/Ceruleanacg/Personae) | implementation of deep reinforcement learning and supervised learnings covering areas: deep deterministic policy gradient (DDPG) and DDQN etc. Data are being pulled from [rqalpha](https://github.com/ricequant/rqalpha) which is a python backtest engine and have a nice docker image to run training/testing | 2018-03-10 11:22:00 | 2018-09-02 17:21:38 | 1340.0 | :heavy_multiplication_x: | :star:x5 |\n| [RL Trading](https://colab.research.google.com/drive/1FzLCI0AO3c7A4bp9Fi01UwXeoc7BN8sW) | A collection of 25+ Reinforcement Learning Trading Strategies -Google Colab. | nan | nan | nan | :heavy_check_mark: | :star:x4 |\n| [Neural Network](https://github.com/VivekPa/IntroNeuralNetworks) | Neural networks to predict stock prices. | 2018-09-10 06:34:53 | 2018-11-21 07:39:31 | 734.0 | :heavy_multiplication_x: | :star:x4 |\n| [Deep Learning](https://github.com/keon/deepstock) | Technical experimentations to beat the stock market using deep learning. | 2016-12-12 02:15:12 | 2017-03-04 08:37:29 | 470.0 | :heavy_multiplication_x: | :star:x4 |\n| [Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020](https://github.com/AI4Finance-LLC/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020) | Part of FinRL and provided code for paper [deep reinformacement learning for automated stock trading](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3690996) focuses on ensemble. | 2020-07-26 13:12:53 | 2024-07-01 08:09:06 | 2019.0 | :heavy_check_mark: | :star:x4 |\n| [LTSM Recurrent](https://github.com/VivekPa/AIAlpha) | OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network. | 2018-10-07 03:58:26 | 2019-08-03 09:00:44 | 1711.0 | :heavy_multiplication_x: | :star:x4 |\n| [awesome-deep-trading](https://github.com/cbailes/awesome-deep-trading) | curated list of papers/repos on topics like CNN/LSTM/GAN/Reinforcement Learning etc. Categorized as deep learning for now but there are other topics here. Manually maintained by cbailes | 2018-11-26 03:23:04 | 2021-01-01 09:41:21 | 1482.0 | :heavy_multiplication_x: | :star:x4 |\n| [trading-bot](https://github.com/pskrunner14/trading-bot) | Implementation of deep reinforcement learning using Deep Q Network (DQN). Only supports single security at the moment. Idea is roughly based [here](https://keon.github.io/deep-q-learning/) and uses tensorflow/keras. Interesting helper python libraries used here are [tqdm](https://tqdm.github.io/) for console based progress bar and [altair](https://altair-viz.github.io/) for declarative visualization in python | 2018-08-13 10:44:08 | 2020-01-23 04:41:20 | 952.0 | :heavy_multiplication_x: | :star:x3 |\n| [crypto-rl](https://github.com/sadighian/crypto-rl) | Retrieve limit order book level data from coinbase pro and bitfinex -> record in [arctic](https://github.com/man-group/arctic) timeseries database then implemented trend following strategies (market orders) and market making (limit orders). Uses reinforcement learning (DQN) [keras-rl](https://github.com/keras-rl/keras-rl) to create agents and uses [openai gym](https://gym.openai.com/) to implement POMDP (partially observable markov decision process) | 2018-06-21 01:06:01 | 2021-11-30 13:52:18 | 849.0 | :heavy_multiplication_x: | :star:x3 |\n| [DQN-DDPG_Stock_Trading](https://github.com/AI4Finance-LLC/DQN-DDPG_Stock_Trading) | merged into FinRL library and uses [gym](https://gym.openai.com/) and implementation of DQN | 2018-09-19 03:17:06 | 2024-03-15 13:46:17 | 815.0 | :heavy_check_mark: | :star:x3 |\n| [RL III](https://github.com/samre12/deep-trading-agent) | Github -Deep Reinforcement Learning based Trading Agent for Bitcoin. | 2017-09-21 17:05:19 | 2018-04-13 16:33:21 | 750.0 | :heavy_multiplication_x: | :star:x3 |\n| [Deep-Reinforcement-Stock-Trading](https://github.com/Albert-Z-Guo/Deep-Reinforcement-Stock-Trading) | inspired by Q-trader a deep reinforcement learning repo for trading. Only 3 actions allowed (buy/hold/sell) and no transaction cost is implemented yet. Uses [empyrical](https://github.com/quantopian/empyrical) for portfolio stats | 2019-05-19 22:20:05 | 2024-07-31 02:21:24 | 562.0 | :heavy_check_mark: | :star:x3 |\n| [Advanced-Deep-Trading](https://github.com/Rachnog/Advanced-Deep-Trading) | notebooks containing experiments based on Lopez de Prado book \"Advances in financial machine learning\". Mostly not deep learning related but rather sklearn regression models. Interesting libraries include [mlfinlab](https://github.com/hudson-and-thames/mlfinlab) for calculating return stats and [shap](https://github.com/slundberg/shap) for explaining models. Examlpe of shap can be which features are pushing the value up and and which features are pushing the value down. Also contain functions for calculating geometric brownian motion and jump diffusion functions. | 2019-02-16 21:18:00 | 2020-11-29 20:12:59 | 542.0 | :heavy_multiplication_x: | :star:x3 |\n| [ARIMA-LTSM Hybrid](https://github.com/imhgchoi/Corr_Prediction_ARIMA_LSTM_Hybrid) | Hybrid model to predict future price correlation coefficients of two assets. | 2018-08-05 02:13:21 | 2018-10-01 11:25:53 | 388.0 | :heavy_multiplication_x: | :star:x3 |\n| [deep-RL-trading](https://github.com/golsun/deep-RL-trading) | trading game comparing RNN vs CNN vs MLP based on [paper](https://arxiv.org/abs/1803.03916) | 2018-02-25 17:41:42 | 2020-12-01 22:06:39 | 355.0 | :heavy_multiplication_x: | :star:x3 |\n| [BitcoinForecast](https://github.com/PiSimo/BitcoinForecast) | RNN model to predict short term price movement (in this case BTC for the next 9 minutes) [deepchart](https://pisimo.github.io/DeepChart/) is used to visualize the model | 2017-03-10 10:52:02 | 2018-06-11 08:07:02 | 350.0 | :heavy_multiplication_x: | :star:x3 |\n| [Pair Trading RL](https://github.com/shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading) | Using deep actor-critic model to learn best strategies in pair trading. | 2017-05-18 16:47:11 | 2017-05-18 16:56:38 | 308.0 | :heavy_multiplication_x: | :star:x3 |\n| [DeepLearningInFinance](https://github.com/sonaam1234/DeepLearningInFinance) | Based on a [talk](https://towardsdatascience.com/deep-learning-in-finance-9e088cb17c03) Sonam Srivastava gave and there are two studies: 1. single timeseries return prediction using ARIMA/VAR/SVR/Deep Regression/CNN/LSTM 2. indexed portfolio construction using autoencoders i.e. replicate a index using handful of stocks. | 2017-08-21 16:00:42 | 2017-08-21 17:23:48 | 280.0 | :heavy_multiplication_x: | :star:x3 |\n| [AutomatedStockTrading-DeepQ-Learning](https://github.com/sachink2010/AutomatedStockTrading-DeepQ-Learning) | cornerstone project repo for Udacity nanodegree program [Become a machine learning engineer](https://www.udacity.com/course/machine-learning-engineer-nanodegree--nd009t) and focus on trading using deep q learning. Good explanation on design choices in the report | 2019-02-23 12:01:21 | 2021-08-31 15:34:07 | 261.0 | :heavy_multiplication_x: | :star:x3 |\n| [LTSM GRU](https://github.com/RajatHanda/Finance-Forecasting) | Stock Market Forecasting using LSTM\\GRU. | 2018-05-13 02:39:32 | 2019-02-25 00:26:42 | 24.0 | :heavy_multiplication_x: | :star:x3 |\n| [Deep Learning II](https://github.com/LiamConnell/deep-algotrading/tree/master/notebooks) | Tensorflow Regression. | 2016-07-12 12:56:10 | 2018-06-10 19:15:31 | 235.0 | :heavy_multiplication_x: | :star:x3 |\n| [trading-rl](https://github.com/Kostis-S-Z/trading-rl) | Deep reinforcement learning for financial trading using [gym](https://gym.openai.com/) and [keras-rl](https://github.com/keras-rl/keras-rl) on FX dataset (EURUSD) not actively maintained | 2019-04-22 10:03:21 | 2020-09-28 09:07:18 | 217.0 | :heavy_multiplication_x: | :star:x3 |\n| [Deep-Reinforcement-Learning-in-Trading](https://github.com/saeed349/Deep-Reinforcement-Learning-in-Trading) | Deep reinforcement learning for trading leveraging [openai gym](https://gym.openai.com/) framework. Keras implementation of DQN DDQN (double deep Q network) and DDDQN (dueling double dqn) trained/tested on s&p 500 daily data from 2013 to 2018. approach is described in an article [here](https://www.linkedin.com/pulse/deep-reinforcement-learning-trading-saeed-rahman) | 2018-05-11 00:52:14 | 2019-10-26 14:22:44 | 208.0 | :heavy_multiplication_x: | :star:x3 |\n| [RL II](https://github.com/deependersingla/deep_trader) | reinforcement learning on stock market and agent tries to learn trading. | 2016-06-11 07:27:10 | 2018-01-22 14:35:50 | 1458.0 | :heavy_multiplication_x: | :star:x3 |\n| [Deep-Learning-Machine-Learning-Stock](https://github.com/LastAncientOne/Deep-Learning-Machine-Learning-Stock) | curated list of notebooks for machine learning models. Start with very simple linear models to more advanced reinforcement learning type of models. Problem with this repo is that the library version numbers may be changing over time and there's no specific way to track and upgrade | 2018-09-29 23:38:06 | 2024-03-01 00:12:23 | 1222.0 | :heavy_check_mark: | :star:x3 |\n| [RL](https://github.com/kh-kim/stock_market_reinforcement_learning) | OpenGym with Deep Q-learning and Policy Gradient. | 2016-10-04 14:42:19 | 2016-12-23 07:34:08 | 790.0 | :heavy_multiplication_x: | :star:x2 |\n| [RL V](https://github.com/gstenger98/rl-finance) | Building an Agent to Trade with Reinforcement Learning. | 2019-01-16 00:43:36 | 2020-03-19 20:28:08 | 40.0 | :heavy_multiplication_x: | :star:x2 |\n| [FinRL](https://github.com/AI4Finance-LLC/FinRL) | NEW | 2020-07-26 13:18:16 | 2024-09-28 02:56:03 | 9697.0 | :heavy_check_mark: | |\n| [maro](https://github.com/microsoft/maro) | NEW | 2019-12-27 06:48:27 | 2023-10-30 10:34:18 | 844.0 | :heavy_check_mark: | |\n| [gym-trading](https://github.com/hackthemarket/gym-trading) | NEW | 2016-12-09 20:46:19 | 2017-12-24 15:34:37 | 702.0 | :heavy_multiplication_x: | |\n| [Pair-Trading-Reinforcement-Learning](https://github.com/wai-i/Pair-Trading-Reinforcement-Learning) | NEW | 2019-06-09 22:50:37 | 2023-07-16 17:00:56 | 7.0 | :heavy_check_mark: | |\n| [Trading-Gym](https://github.com/thedimlebowski/Trading-Gym) | NEW | 2017-06-13 13:14:48 | 2017-07-10 08:09:30 | 548.0 | :heavy_multiplication_x: | |\n| [QLearning_Trading](https://github.com/ucaiado/QLearning_Trading) | NEW | 2016-08-10 06:02:23 | 2016-10-15 02:36:09 | 495.0 | :heavy_multiplication_x: | |\n| [stock-prediction-deep-neural-learning](https://github.com/JordiCorbilla/stock-prediction-deep-neural-learning) | NEW | 2020-07-01 17:31:42 | 2024-01-03 19:18:12 | 493.0 | :heavy_check_mark: | |\n| [tensortrade](https://github.com/tensortrade-org/tensortrade) | NEW | 2019-07-30 21:28:32 | 2024-06-09 21:29:43 | 4515.0 | :heavy_check_mark: | |\n| [a3c_trading](https://github.com/evgps/a3c_trading) | NEW | 2018-06-04 15:30:16 | 2023-01-24 01:52:36 | 423.0 | :heavy_check_mark: | |\n| [RL-Bitcoin-trading-bot](https://github.com/pythonlessons/RL-Bitcoin-trading-bot) | NEW | 2020-12-02 06:07:14 | 2023-11-24 10:30:07 | 380.0 | :heavy_check_mark: | |\n| [RLQuant](https://github.com/yuriak/RLQuant) | NEW | 2018-04-05 05:42:44 | 2018-08-13 04:18:29 | 337.0 | :heavy_multiplication_x: | |\n| [rl_trading](https://github.com/ucaiado/rl_trading) | NEW | 2017-05-29 22:19:00 | 2017-08-29 14:54:50 | 272.0 | :heavy_multiplication_x: | |\n| [pairstrade-fyp-2019](https://github.com/wywongbd/pairstrade-fyp-2019) | NEW | 2018-09-07 07:51:06 | 2020-05-13 05:06:51 | 256.0 | :heavy_multiplication_x: | |\n| [Machine-Learning-and-Reinforcement-Learning-in-Finance](https://github.com/joelowj/Machine-Learning-and-Reinforcement-Learning-in-Finance) | NEW | 2018-06-26 04:30:08 | 2018-09-23 16:50:33 | 246.0 | :heavy_multiplication_x: | |\n| [slow-momentum-fast-reversion](https://github.com/kieranjwood/slow-momentum-fast-reversion) | NEW | 2021-06-27 14:49:05 | 2022-11-24 10:59:47 | 229.0 | :heavy_check_mark: | |\n| [freqtrade-gym](https://github.com/hugocen/freqtrade-gym) | NEW | 2020-09-23 12:57:20 | 2021-10-11 07:36:32 | 221.0 | :heavy_multiplication_x: | |\n| [TradingGym](https://github.com/cove9988/TradingGym) | NEW | 2017-11-06 00:50:01 | 2024-09-23 00:44:41 | 210.0 | :heavy_check_mark: | |\n| [RL IV](https://github.com/jjakimoto/DQN) | Reinforcement Learning for finance. | 2016-10-21 02:47:17 | 2017-04-07 08:11:57 | 181.0 | :heavy_multiplication_x: | |\n| [An-Application-of-Deep-Reinforcement-Learning-to-Algorithmic-Trading](https://github.com/ThibautTheate/An-Application-of-Deep-Reinforcement-Learning-to-Algorithmic-Trading) | NEW | 2020-10-05 09:09:24 | 2020-10-06 13:32:48 | 170.0 | :heavy_multiplication_x: | |\n| [TradingGym](https://github.com/Yvictor/TradingGym) | NEW | 2017-05-01 13:53:32 | 2023-08-12 05:37:32 | 1556.0 | :heavy_check_mark: | |\n| [reinforcement_learning_financial_trading](https://github.com/matlab-deep-learning/reinforcement_learning_financial_trading) | NEW | 2020-02-04 13:06:40 | 2024-03-07 02:11:19 | 152.0 | :heavy_check_mark: | |\n| [IPythonScripts](https://github.com/mgroncki/IPythonScripts) | NEW | 2013-08-18 16:26:25 | 2018-11-18 10:43:05 | 146.0 | :heavy_multiplication_x: | |\n| [DQN-Trading](https://github.com/MehranTaghian/DQN-Trading) | NEW | 2021-08-27 21:07:21 | 2021-10-09 05:50:21 | 141.0 | :heavy_multiplication_x: | |\n| [gym-continuousDoubleAuction](https://github.com/ChuaCheowHuan/gym-continuousDoubleAuction) | NEW | 2019-07-20 14:53:16 | 2020-07-22 04:22:36 | 138.0 | :heavy_multiplication_x: | |\n| [TradeMaster](https://github.com/TradeMaster-NTU/TradeMaster) | NEW | 2022-08-23 13:02:43 | 2024-02-28 04:13:16 | 1342.0 | :heavy_check_mark: | |\n| [Reinforcement-Learning-for-Trading](https://github.com/nicknochnack/Reinforcement-Learning-for-Trading) | NEW | 2021-03-15 09:13:21 | 2021-03-15 09:16:53 | 129.0 | :heavy_multiplication_x: | |\n| [Quantitative-finance-papers-using-deep-learning](https://github.com/Leefinance/Quantitative-finance-papers-using-deep-learning) | NEW | 2019-08-22 13:16:08 | 2023-05-21 11:04:12 | 127.0 | :heavy_check_mark: | |\n| [Deep_Learning_Machine_Learning_Stock](https://github.com/LastAncientOne/Deep_Learning_Machine_Learning_Stock) | NEW | 2018-09-29 23:38:06 | 2024-03-01 00:12:23 | 1222.0 | :heavy_check_mark: | |\n| [trials](https://github.com/The-FinAI/trials) | NEW | 2023-04-01 14:25:35 | 2023-08-31 16:16:25 | 109.0 | :heavy_check_mark: | |\n| [rl](https://github.com/druce/rl) | NEW | 2019-10-19 04:08:30 | 2023-08-25 18:34:01 | 105.0 | :heavy_check_mark: | |\n| [StarTrader](https://github.com/jiewwantan/StarTrader) | NEW | 2019-03-04 04:38:15 | 2019-09-12 21:24:15 | 104.0 | :heavy_multiplication_x: | |" }, { "path": "generated_wiki/derivatives_and_hedging.md", "content": "| repo | comment | created_at | last_commit | star_count | repo_status | rating |\n|:-----------------------------------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------|\n| [Options](https://github.com/PHBS/2018.M1.ASP/tree/master/py) | Black Scholes and Copula. | nan | nan | nan | :heavy_check_mark: | |\n| [injective-helix-demo](https://github.com/InjectiveLabs/injective-helix-demo) | NEW | 2021-04-12 13:36:25 | 2024-07-15 17:00:25 | 99.0 | :heavy_check_mark: | |\n| [optopsy](https://github.com/michaelchu/optopsy) | NEW | 2017-09-17 01:49:54 | 2024-07-06 19:33:10 | 978.0 | :heavy_check_mark: | |\n| [akshare](https://github.com/jindaxiang/akshare) | NEW | 2019-10-01 07:34:12 | 2024-09-28 06:49:57 | 9042.0 | :heavy_check_mark: | |\n| [AlgorithmicTrading](https://github.com/JerBouma/AlgorithmicTrading) | NEW | 2019-03-14 09:33:37 | 2023-08-13 07:15:09 | 878.0 | :heavy_check_mark: | |\n| [lumibot](https://github.com/Lumiwealth/lumibot) | NEW | 2020-09-10 10:00:16 | 2024-09-27 04:30:14 | 877.0 | :heavy_check_mark: | |\n| [Strata](https://github.com/OpenGamma/Strata) | NEW | 2014-06-16 11:45:55 | 2024-08-28 16:12:28 | 842.0 | :heavy_check_mark: | |\n| [Derman](https://github.com/rstreppa/valuation-convertibles-Goldman1994/blob/master/ConvertibleBond_Goldman1994_Derman.ipynb) | Binomial tree for American call. | 2018-05-18 18:08:16 | 2018-09-21 19:59:01 | 8.0 | :heavy_multiplication_x: | |\n| [Options-Trading-Strategies-in-Python](https://github.com/PyPatel/Options-Trading-Strategies-in-Python) | NEW | 2017-08-30 06:00:15 | 2019-08-21 15:47:57 | 799.0 | :heavy_multiplication_x: | |\n| [gs-quant](https://github.com/goldmansachs/gs-quant) | NEW | 2018-12-14 21:10:40 | 2024-09-23 11:01:29 | 7582.0 | :heavy_check_mark: | |\n| [StockSharp](https://github.com/StockSharp/StockSharp) | NEW | 2014-12-08 07:53:44 | 2024-09-23 21:13:42 | 7097.0 | :heavy_check_mark: | |\n| [optlib](https://github.com/dbrojas/optlib) | NEW | 2020-08-17 00:30:14 | 2022-11-18 19:12:54 | 644.0 | :heavy_check_mark: | |\n| [algotrader](https://github.com/torreyleonard/algotrader) | NEW | 2018-04-10 02:31:26 | 2020-08-27 08:16:44 | 635.0 | :heavy_multiplication_x: | |\n| [trading-server](https://github.com/s-brez/trading-server) | NEW | 2019-03-05 03:06:19 | 2022-11-17 01:42:13 | 619.0 | :heavy_check_mark: | |\n| [Delta Hedging](https://github.com/RobinsonGarcia/delta-hedging) | Advanced derivatives. | 2018-03-02 23:53:53 | 2018-07-17 23:32:23 | 6.0 | :heavy_multiplication_x: | |\n| [Option Strategies](https://github.com/rstreppa/valuation-OptionStrategies) | Valuation of Vanilla and Exotic option strategies (Butterfly, Risk Reversal etc.) with widget animations. | 2018-05-22 18:27:26 | 2018-05-22 18:30:24 | 6.0 | :heavy_multiplication_x: | |\n| [Derivatives Python](https://github.com/yhilpisch/dawp/tree/master/python36) | Derivative analytics with Python. | 2015-07-09 12:27:29 | 2021-02-22 13:29:18 | 585.0 | :heavy_multiplication_x: | |\n| [quant-trading](https://github.com/je-suis-tm/quant-trading) | NEW | 2018-04-03 14:08:14 | 2024-04-14 13:06:59 | 5779.0 | :heavy_check_mark: | |\n| [Options](https://github.com/QuantConnect/Tutorials/tree/master/06%20Introduction%20to%20Options%5B%5D) | Introduction to options. | 2017-07-28 15:48:29 | 2022-06-16 00:35:12 | 525.0 | :heavy_multiplication_x: | |\n| [trade-frame](https://github.com/rburkholder/trade-frame) | NEW | 2016-07-24 15:25:30 | 2024-06-16 01:32:50 | 480.0 | :heavy_check_mark: | |\n| [Quantsbin](https://github.com/quantsbin/Quantsbin) | NEW | 2018-07-04 02:23:09 | 2021-05-23 18:14:26 | 476.0 | :heavy_multiplication_x: | |\n| [tai](https://github.com/fremantle-industries/tai) | NEW | 2017-07-28 03:07:18 | 2022-10-04 03:51:40 | 460.0 | :heavy_check_mark: | |\n| [tf-quant-finance](https://github.com/google/tf-quant-finance) | NEW | 2019-07-24 16:09:50 | 2023-08-15 07:37:46 | 4491.0 | :heavy_check_mark: | |\n| [QLNet](https://github.com/amaggiulli/QLNet) | NEW | 2013-08-22 14:51:43 | 2024-08-05 15:31:12 | 381.0 | :heavy_check_mark: | |\n| [FinanceDatabase](https://github.com/JerBouma/FinanceDatabase) | NEW | 2021-01-28 18:36:09 | 2024-09-22 12:13:59 | 3424.0 | :heavy_check_mark: | |\n| [Reinforcement Learning](https://github.com/FinTechies/HedgingRL) | Hedging portfolios with reinforcement learning. | 2017-04-21 10:58:56 | 2017-08-02 21:41:06 | 33.0 | :heavy_multiplication_x: | |\n| [Options_Data_Science](https://github.com/yugedata/Options_Data_Science) | NEW | 2020-12-09 04:51:20 | 2022-03-16 19:20:04 | 325.0 | :heavy_multiplication_x: | |\n| [Options Risk Measures](https://github.com/wanglouis49/risk_estimation) | Efficient financial risk estimation via computer experiment design (regression + variance-reduced sampling). | 2016-04-29 03:51:25 | 2018-01-16 01:24:07 | 3.0 | :heavy_multiplication_x: | |\n| [Computational Derivatives](https://github.com/chenbowen184/Computational_Finance) | Projects focusing on investigating simulations and computational techniques applied in finance. | 2018-01-29 05:01:52 | 2018-08-02 05:56:49 | 27.0 | :heavy_multiplication_x: | |\n| [investbook](https://github.com/spacious-team/investbook) | NEW | 2020-02-15 18:23:48 | 2024-09-10 12:25:51 | 269.0 | :heavy_check_mark: | |\n| [huobi_futures_Python](https://github.com/hbdmapi/huobi_futures_Python) | NEW | 2020-01-14 07:21:39 | 2021-06-25 01:29:01 | 267.0 | :heavy_multiplication_x: | |\n| [optionlab](https://github.com/rgaveiga/optionlab) | NEW | 2023-07-04 19:44:27 | 2024-09-13 14:33:35 | 261.0 | :heavy_check_mark: | |\n| [paperbroker](https://github.com/philipodonnell/paperbroker) | NEW | 2017-07-06 02:04:51 | 2018-04-08 18:37:57 | 258.0 | :heavy_multiplication_x: | |\n| [pancakeswap-prediction-winner](https://github.com/modagavr/pancakeswap-prediction-winner) | NEW | 2021-06-09 14:30:14 | 2023-03-15 06:24:49 | 245.0 | :heavy_check_mark: | |\n| [stocktrends](https://github.com/ChillarAnand/stocktrends) | NEW | 2018-02-06 12:56:48 | 2024-04-07 08:31:03 | 240.0 | :heavy_check_mark: | |\n| [OptionSuite](https://github.com/sirnfs/OptionSuite) | NEW | 2017-04-13 04:39:44 | 2023-07-10 14:45:36 | 222.0 | :heavy_check_mark: | |\n| [bitcoin_volatility_forecasting](https://github.com/chibui191/bitcoin_volatility_forecasting) | NEW | 2021-07-18 17:51:11 | 2021-09-10 20:25:41 | 218.0 | :heavy_multiplication_x: | |\n| [FinancePy](https://github.com/domokane/FinancePy) | NEW | 2019-10-27 15:04:56 | 2024-09-09 18:26:26 | 2096.0 | :heavy_check_mark: | |\n| [MarketAnalysis](https://github.com/Poseyy/MarketAnalysis) | NEW | 2019-03-28 19:46:34 | 2020-08-06 05:15:46 | 209.0 | :heavy_check_mark: | |\n| [MarketAnalysis](https://github.com/p-eq/MarketAnalysis) | NEW | 2019-03-28 19:46:34 | 2020-08-06 05:15:46 | 209.0 | :heavy_check_mark: | |\n| [Black Scholes](https://github.com/irajwani/numerical_methods_python/blob/master/black_scholes.ipynb) | Options pricing. | 2017-12-09 18:50:20 | 2018-07-09 09:48:36 | 2.0 | :heavy_multiplication_x: | |\n| [compendium](https://github.com/sambacha/compendium) | NEW | 2019-05-14 01:07:06 | 2023-07-29 13:34:50 | 196.0 | :heavy_check_mark: | |\n| [openAlgo](https://github.com/mtompkins/openAlgo) | NEW | 2013-05-28 14:46:53 | 2017-03-24 20:00:24 | 181.0 | :heavy_multiplication_x: | |\n| [ibkr-options-volatility-trading](https://github.com/mcf-long-short/ibkr-options-volatility-trading) | NEW | 2021-05-30 12:40:04 | 2021-06-05 13:35:03 | 172.0 | :heavy_multiplication_x: | |\n| [robin_stocks](https://github.com/jmfernandes/robin_stocks) | NEW | 2018-02-23 00:49:37 | 2024-07-05 23:16:59 | 1688.0 | :heavy_check_mark: | |\n| [option-pricing-models](https://github.com/krivi95/option-pricing-models) | NEW | 2020-11-12 19:00:14 | 2022-01-26 09:40:31 | 164.0 | :heavy_multiplication_x: | |\n| [options_backtester](https://github.com/lambdaclass/options_backtester) | NEW | 2019-05-08 14:48:04 | 2024-08-06 22:06:21 | 156.0 | :heavy_check_mark: | |\n| [torchquant](https://github.com/jialuechen/torchquant) | NEW | 2022-01-06 04:26:18 | 2024-09-27 03:33:39 | 156.0 | :heavy_check_mark: | |\n| [quantlib](https://github.com/piquette/quantlib) | NEW | 2020-04-12 14:20:07 | 2021-04-09 14:53:41 | 142.0 | :heavy_multiplication_x: | |\n| [Volatility and Variance Derivatives](https://github.com/yhilpisch/lvvd/tree/master/lvvd) | Volatility derivatives analytics. | 2016-10-21 04:12:50 | 2022-01-04 07:41:22 | 142.0 | :heavy_multiplication_x: | |\n| [opstrat](https://github.com/hashABCD/opstrat) | NEW | 2021-03-17 14:31:33 | 2021-07-25 17:16:11 | 141.0 | :heavy_multiplication_x: | |\n| [kwenta](https://github.com/Kwenta/kwenta) | NEW | 2021-08-24 16:51:40 | 2023-10-16 19:43:43 | 141.0 | :heavy_check_mark: | |\n| [TradingView-Binance-Telegram-Bot](https://github.com/ytrevor81/TradingView-Binance-Telegram-Bot) | NEW | 2021-02-16 07:16:09 | 2022-01-04 13:07:22 | 136.0 | :heavy_multiplication_x: | |\n| [fully-automated-nifty-options-trading](https://github.com/srikar-kodakandla/fully-automated-nifty-options-trading) | NEW | 2022-06-25 15:20:23 | 2023-12-23 08:08:20 | 134.0 | :heavy_check_mark: | |\n| [wallstreet](https://github.com/mcdallas/wallstreet) | NEW | 2016-01-20 22:03:39 | 2024-03-09 22:31:06 | 1331.0 | :heavy_check_mark: | |\n| [fast_arrow](https://github.com/westonplatter/fast_arrow) | NEW | 2018-07-19 23:15:25 | 2020-04-18 18:05:37 | 127.0 | :heavy_multiplication_x: | |\n| [10101](https://github.com/get10101/10101) | NEW | 2023-01-11 04:46:13 | 2024-08-10 11:55:40 | 127.0 | :heavy_check_mark: | |\n| [tda-api](https://github.com/alexgolec/tda-api) | NEW | 2020-04-03 21:19:12 | 2024-06-16 22:04:19 | 1265.0 | :heavy_check_mark: | |\n| [harvest](https://github.com/tfukaza/harvest) | NEW | 2021-06-25 21:29:38 | 2024-06-04 21:02:57 | 122.0 | :heavy_check_mark: | |\n| [renegade-way](https://github.com/evdubs/renegade-way) | NEW | 2019-08-24 00:42:24 | 2024-08-24 01:06:42 | 121.0 | :heavy_check_mark: | |\n| [Hull White](https://github.com/rstreppa/valuation-callables-HullWhite/blob/master/CallableBond_HullWhite.ipynb) | Callable Bond, Hull White. | 2018-06-06 22:06:06 | 2018-06-06 22:27:02 | 12.0 | :heavy_multiplication_x: | |\n| [Iq_Option_Bots](https://github.com/metheuspsc/Iq_Option_Bots) | NEW | 2020-06-22 12:35:22 | 2021-08-18 01:31:21 | 119.0 | :heavy_multiplication_x: | |\n| [python-option-calculator](https://github.com/yzoz/python-option-calculator) | NEW | 2017-02-07 15:46:31 | 2022-09-13 16:20:00 | 118.0 | :heavy_multiplication_x: | |\n| [betterOptionsTrading](https://github.com/amit0rana/betterOptionsTrading) | NEW | 2020-04-08 10:34:52 | 2024-09-23 04:57:39 | 117.0 | :heavy_check_mark: | |\n| [FlowAlgo-Options-Trader](https://github.com/SC4RECOIN/FlowAlgo-Options-Trader) | NEW | 2020-11-12 03:05:58 | 2021-02-15 19:28:42 | 115.0 | :heavy_multiplication_x: | |\n| [LoopTrader](https://github.com/pattertj/LoopTrader) | NEW | 2021-04-04 16:47:20 | 2022-03-28 15:17:16 | 114.0 | :heavy_multiplication_x: | |\n| [pyBlackScholesAnalytics](https://github.com/gabrielepompa88/pyBlackScholesAnalytics) | NEW | 2020-08-11 14:18:39 | 2020-09-02 10:27:27 | 111.0 | :heavy_multiplication_x: | |\n| [Derivative Markets](https://github.com/broughtj/Fin6470/tree/master/Notebooks) | The economics of futures, futures, options, and swaps. | 2016-02-09 05:30:27 | 2021-04-15 16:02:59 | 11.0 | :heavy_multiplication_x: | |\n| [binance-copy-trade-bot](https://github.com/tpmmthomas/binance-copy-trade-bot) | NEW | 2022-06-23 08:08:00 | 2024-06-20 20:41:33 | 109.0 | :heavy_check_mark: | |\n| [RustQuant](https://github.com/avhz/RustQuant) | NEW | 2022-08-31 10:03:24 | 2024-09-05 20:15:03 | 1067.0 | :heavy_check_mark: | |" }, { "path": "generated_wiki/extended_research.md", "content": "| repo | comment | created_at | last_commit | star_count | repo_status | rating |\n|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------|\n| [Real Estate Property Fraud](https://github.com/aviroop1/Real_Estate_Property_Fraud) | Unsupervised fraud detection model that can identify likely candidates of fraud. | nan | nan | nan | :heavy_check_mark: | |\n| [Commodity](https://github.com/felipessalvatore/fin2vec/blob/master/src/Commodity2BR.ipynb) | Commodity influence over Brazilian stocks. | nan | nan | nan | :heavy_check_mark: | |\n| [HFT-Orderbook](https://github.com/Crypto-toolbox/HFT-Orderbook) | NEW | 2017-07-26 08:42:19 | 2022-02-18 20:01:44 | 991.0 | :heavy_multiplication_x: | |\n| [Awesome-AI-for-cybersecurity](https://github.com/Billy1900/Awesome-AI-for-cybersecurity) | NEW | 2021-09-20 04:44:45 | 2023-10-03 14:25:10 | 98.0 | :heavy_check_mark: | |\n| [crypto-database](https://github.com/ivopetiz/crypto-database) | NEW | 2018-02-22 21:34:11 | 2019-10-04 13:06:18 | 98.0 | :heavy_multiplication_x: | |\n| [Mathematical Finance](https://github.com/Auquan/Tutorials) | Notebooks for math and financial tutorials. | 2017-01-21 11:24:18 | 2020-08-01 17:03:32 | 974.0 | :heavy_multiplication_x: | |\n| [VPIN_HFT](https://github.com/theopenstreet/VPIN_HFT) | NEW | 2017-12-12 15:29:33 | 2017-12-12 17:32:54 | 97.0 | :heavy_multiplication_x: | |\n| [freqtrade_bot](https://github.com/michael-fourie/freqtrade_bot) | NEW | 2020-12-21 00:14:25 | 2021-01-07 19:52:54 | 96.0 | :heavy_multiplication_x: | |\n| [BERT4ETH](https://github.com/git-disl/BERT4ETH) | NEW | 2023-02-05 20:36:20 | 2024-06-21 17:45:01 | 96.0 | :heavy_check_mark: | |\n| [PythonMatchingEngine](https://github.com/Surbeivol/PythonMatchingEngine) | NEW | 2019-05-16 12:06:21 | 2021-12-30 10:17:35 | 95.0 | :heavy_multiplication_x: | |\n| [LSTM-FX](https://github.com/AdamTibi/LSTM-FX) | NEW | 2020-09-29 21:30:20 | 2020-09-29 23:15:18 | 95.0 | :heavy_multiplication_x: | |\n| [go-quantcup](https://github.com/rdingwall/go-quantcup) | NEW | 2015-02-04 10:33:12 | 2015-06-11 12:50:09 | 94.0 | :heavy_multiplication_x: | |\n| [Quant-Developers-Resources](https://github.com/cybergeekgyan/Quant-Developers-Resources) | NEW | 2023-10-16 18:04:31 | 2024-07-28 08:06:18 | 94.0 | :heavy_check_mark: | |\n| [FraudDetection-Microservices](https://github.com/melofred/FraudDetection-Microservices) | NEW | 2016-06-08 23:24:21 | 2017-01-18 17:52:01 | 93.0 | :heavy_multiplication_x: | |\n| [HFT-Pairs-Trading](https://github.com/sapphire921/HFT-Pairs-Trading) | NEW | 2018-05-03 22:36:16 | 2019-02-27 17:41:22 | 93.0 | :heavy_multiplication_x: | |\n| [sagemaker-graph-fraud-detection](https://github.com/awslabs/sagemaker-graph-fraud-detection) | NEW | 2020-03-13 16:51:29 | 2021-05-18 19:20:28 | 93.0 | :heavy_multiplication_x: | |\n| [bidask](https://github.com/eguidotti/bidask) | NEW | 2022-05-08 20:22:40 | 2024-08-18 18:51:28 | 92.0 | :heavy_check_mark: | |\n| [MarketDataRec](https://github.com/hftlab/MarketDataRec) | NEW | 2023-04-16 07:49:56 | 2024-04-11 08:53:08 | 92.0 | :heavy_check_mark: | |\n| [HighFrequencyTradingSVMs](https://github.com/alexdai186/HighFrequencyTradingSVMs) | NEW | 2019-01-10 22:29:11 | 2019-02-24 05:30:19 | 92.0 | :heavy_multiplication_x: | |\n| [awesome-high-frequency-trading](https://github.com/StateOfTheArt-quant/awesome-high-frequency-trading) | NEW | 2020-09-14 03:07:10 | 2021-11-10 16:01:48 | 91.0 | :heavy_multiplication_x: | |\n| [PyLimitOrderBook](https://github.com/abcabhishek/PyLimitOrderBook) | NEW | 2018-01-03 05:56:23 | 2018-01-03 06:19:23 | 90.0 | :heavy_multiplication_x: | |\n| [fx_systrade](https://github.com/ryogrid/fx_systrade) | NEW | 2015-07-24 11:46:28 | 2024-06-01 23:12:33 | 89.0 | :heavy_check_mark: | |\n| [wtpy](https://github.com/wondertrader/wtpy) | NEW | 2020-06-18 01:43:25 | 2023-12-31 14:51:00 | 883.0 | :heavy_check_mark: | |\n| [hft-market-making](https://github.com/mmssss/hft-market-making) | NEW | 2022-10-24 12:12:08 | 2023-05-06 07:27:55 | 88.0 | :heavy_check_mark: | |\n| [HFTrader](https://github.com/DrAshBooth/HFTrader) | NEW | 2012-12-03 13:57:19 | 2012-12-12 17:17:09 | 88.0 | :heavy_multiplication_x: | |\n| [barter-rs](https://github.com/barter-rs/barter-rs) | NEW | 2022-10-09 16:39:34 | 2024-07-12 20:37:07 | 871.0 | :heavy_check_mark: | |\n| [avellaneda-stoikov](https://github.com/ragoragino/avellaneda-stoikov) | NEW | 2017-10-21 20:53:00 | 2017-10-30 18:23:27 | 87.0 | :heavy_multiplication_x: | |\n| [A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market](https://github.com/SheikhRabiul/A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market) | NEW | 2017-11-27 06:37:43 | 2019-01-08 18:13:34 | 86.0 | :heavy_multiplication_x: | |\n| [neural-finance](https://github.com/Metnew/neural-finance) | NEW | 2016-12-30 17:14:13 | 2017-06-26 22:42:06 | 84.0 | :heavy_multiplication_x: | |\n| [credit-card-fraud-detection](https://github.com/sahidul-shaikh/credit-card-fraud-detection) | NEW | 2021-01-10 13:58:35 | 2021-01-10 17:13:33 | 83.0 | :heavy_multiplication_x: | |\n| [anomaly-detection-resources](https://github.com/yzhao062/anomaly-detection-resources) | NEW | 2018-05-16 20:02:54 | 2024-07-04 18:59:19 | 8264.0 | :heavy_check_mark: | |\n| [algo-trader-tool-suite](https://github.com/K0414/algo-trader-tool-suite) | NEW | 2013-10-24 14:57:12 | 2013-10-24 15:01:56 | 82.0 | :heavy_multiplication_x: | |\n| [kafka-fraud-detector](https://github.com/florimondmanca/kafka-fraud-detector) | NEW | 2018-09-13 17:36:49 | 2019-04-29 22:04:23 | 81.0 | :heavy_multiplication_x: | |\n| [python-for-finance](https://github.com/JackJacquier/python-for-finance) | NEW | 2020-09-21 12:20:30 | 2023-11-29 15:00:46 | 81.0 | :heavy_check_mark: | |\n| [cashflows](https://github.com/jdvelasq/cashflows) | NEW | 2016-11-23 22:47:40 | 2021-07-22 22:00:46 | 80.0 | :heavy_multiplication_x: | |\n| [hummingbot](https://github.com/hummingbot/hummingbot) | NEW | 2019-04-02 21:41:52 | 2024-08-28 15:45:11 | 7993.0 | :heavy_check_mark: | |\n| [Credit-Card-Fraud-Detection](https://github.com/sagnikghoshcr7/Credit-Card-Fraud-Detection) | NEW | 2020-08-15 21:06:58 | 2020-10-02 09:12:54 | 79.0 | :heavy_multiplication_x: | |\n| [Fraud_Detection_Techniques](https://github.com/wmlba/Fraud_Detection_Techniques) | NEW | 2019-02-14 02:27:13 | 2020-06-14 23:36:47 | 78.0 | :heavy_multiplication_x: | |\n| [performance](https://github.com/alexkachanov/performance) | NEW | 2017-11-28 04:10:43 | 2022-01-19 10:52:06 | 78.0 | :heavy_multiplication_x: | |\n| [High-Frequency-Trading-Simulation-System](https://github.com/chenhaotian/High-Frequency-Trading-Simulation-System) | NEW | 2016-06-14 13:50:39 | 2018-04-16 08:48:10 | 77.0 | :heavy_multiplication_x: | |\n| [MIDAS](https://github.com/Stream-AD/MIDAS) | NEW | 2019-10-23 03:50:50 | 2024-01-10 05:43:58 | 762.0 | :heavy_check_mark: | |\n| [example-hftish](https://github.com/alpacahq/example-hftish) | NEW | 2019-01-25 14:56:38 | 2019-10-25 02:16:27 | 752.0 | :heavy_multiplication_x: | |\n| [2018-Kaggle-AdTrackingFraud](https://github.com/ShawnyXiao/2018-Kaggle-AdTrackingFraud) | NEW | 2018-05-08 09:29:46 | 2019-01-12 07:57:33 | 75.0 | :heavy_multiplication_x: | |\n| [high-frequency](https://github.com/Kucoin-academy/high-frequency) | NEW | 2020-04-24 07:58:36 | 2020-05-28 09:52:16 | 74.0 | :heavy_multiplication_x: | |\n| [hftrx](https://github.com/ua1arn/hftrx) | NEW | 2018-12-23 17:25:32 | 2024-08-15 08:40:34 | 74.0 | :heavy_check_mark: | |\n| [VisualHFT](https://github.com/silahian/VisualHFT) | NEW | 2022-09-20 02:52:30 | 2024-07-11 02:50:02 | 736.0 | :heavy_check_mark: | |\n| [PyStrategies](https://github.com/danielktaylor/PyStrategies) | NEW | 2016-08-01 21:34:17 | 2021-02-11 19:48:48 | 73.0 | :heavy_multiplication_x: | |\n| [DynamicSocialNetworkFraudDetection](https://github.com/Zhu-Shatong/DynamicSocialNetworkFraudDetection) | NEW | 2024-03-16 08:31:34 | 2024-09-18 14:09:45 | 72.0 | :heavy_check_mark: | |\n| [EarnHFT](https://github.com/qinmoelei/EarnHFT) | NEW | 2024-01-16 04:02:37 | 2024-07-19 03:08:40 | 71.0 | :heavy_check_mark: | |\n| [hFT-Transformer](https://github.com/sony/hFT-Transformer) | NEW | 2023-06-26 08:31:19 | 2023-07-11 01:24:36 | 70.0 | :heavy_check_mark: | |\n| [wattnet-fx-trading](https://github.com/Zymrael/wattnet-fx-trading) | NEW | 2019-09-13 08:44:27 | 2020-08-19 05:49:12 | 70.0 | :heavy_multiplication_x: | |\n| [Fraud-Detection-in-Online-Transactions](https://github.com/sharmaroshan/Fraud-Detection-in-Online-Transactions) | NEW | 2019-03-31 13:30:44 | 2019-05-23 07:37:00 | 70.0 | :heavy_multiplication_x: | |\n| [StockPredictionRNN](https://github.com/dzitkowskik/StockPredictionRNN) | NEW | 2015-11-26 19:00:35 | 2016-05-21 15:51:22 | 689.0 | :heavy_multiplication_x: | |\n| [DGFraud](https://github.com/safe-graph/DGFraud) | NEW | 2019-11-22 14:02:36 | 2022-04-20 21:39:08 | 684.0 | :heavy_multiplication_x: | |\n| [PyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop](https://github.com/TheSnowGuru/PyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop) | NEW | 2020-07-05 07:59:38 | 2024-09-27 10:39:55 | 682.0 | :heavy_check_mark: | |\n| [flow](https://github.com/yazanobeidi/flow) | NEW | 2016-05-11 20:38:31 | 2016-05-14 16:02:05 | 68.0 | :heavy_multiplication_x: | |\n| [thunder-trader](https://github.com/frankfan007/thunder-trader) | NEW | 2020-07-09 01:37:37 | 2019-11-09 03:17:28 | 68.0 | :heavy_multiplication_x: | |\n| [tectonicdb](https://github.com/0b01/tectonicdb) | NEW | 2017-10-03 00:34:01 | 2024-01-25 09:15:02 | 677.0 | :heavy_check_mark: | |\n| [Fraud_Detector](https://github.com/kskk02/Fraud_Detector) | NEW | 2014-07-03 20:52:51 | 2015-01-15 22:03:04 | 67.0 | :heavy_multiplication_x: | |\n| [DistributedATS](https://github.com/mkipnis/DistributedATS) | NEW | 2021-02-22 19:46:33 | 2024-04-14 13:44:13 | 67.0 | :heavy_check_mark: | |\n| [imperial_hft](https://github.com/0burak/imperial_hft) | NEW | 2023-09-04 00:56:37 | 2023-09-10 18:30:31 | 667.0 | :heavy_check_mark: | |\n| [FullFIX](https://github.com/maxim2266/FullFIX) | NEW | 2015-08-26 09:44:55 | 2022-06-09 14:09:21 | 66.0 | :heavy_multiplication_x: | |\n| [demo-fraud-detection-with-p2p](https://github.com/neo4j-product-examples/demo-fraud-detection-with-p2p) | NEW | 2022-02-26 21:15:04 | 2023-06-12 16:55:38 | 66.0 | :heavy_check_mark: | |\n| [PE-HFT-Python](https://github.com/PortfolioEffect/PE-HFT-Python) | NEW | 2015-11-11 00:58:39 | 2017-08-08 02:06:15 | 65.0 | :heavy_multiplication_x: | |\n| [tradingrrl](https://github.com/darden1/tradingrrl) | NEW | 2017-03-05 07:20:56 | 2018-11-14 13:19:52 | 65.0 | :heavy_multiplication_x: | |\n| [Ml_HFT](https://github.com/fushuyue/Ml_HFT) | NEW | 2016-02-11 17:04:34 | 2016-05-09 03:34:43 | 65.0 | :heavy_multiplication_x: | |\n| [Credit-Card-Checker](https://github.com/AryanSarang/Credit-Card-Checker) | NEW | 2024-09-16 10:33:14 | 2024-09-16 10:33:47 | 64.0 | :heavy_check_mark: | |\n| [OpenHFT](https://github.com/OpenHFT/OpenHFT) | NEW | 2013-12-26 10:22:00 | 2024-09-26 08:41:16 | 636.0 | :heavy_check_mark: | |\n| [Werk](https://github.com/AgalmicVentures/Werk) | NEW | 2017-01-07 21:32:01 | 2022-08-21 01:09:33 | 63.0 | :heavy_multiplication_x: | |\n| [MacroHFT](https://github.com/ZONG0004/MacroHFT) | NEW | 2024-06-19 12:56:35 | 2024-06-28 17:33:59 | 62.0 | :heavy_check_mark: | |\n| [viperfish](https://github.com/xreptoid/viperfish) | NEW | 2023-09-26 14:22:15 | 2023-10-03 11:04:31 | 62.0 | :heavy_check_mark: | |\n| [Bitfinex-bot](https://github.com/RunAwayOrElse/Bitfinex-bot) | NEW | 2024-06-04 13:33:05 | 2024-06-04 13:33:07 | 62.0 | :heavy_check_mark: | |\n| [Credit-Card-fraud-detection-using-Machine-Learning](https://github.com/LaurentVeyssier/Credit-Card-fraud-detection-using-Machine-Learning) | NEW | 2020-10-18 21:08:43 | 2020-10-19 10:09:56 | 61.0 | :heavy_multiplication_x: | |\n| [algo-trading-server](https://github.com/cryptocontrol/algo-trading-server) | NEW | 2019-03-07 15:08:36 | 2019-08-25 16:22:24 | 61.0 | :heavy_multiplication_x: | |\n| [HighFrequencyTradingBot](https://github.com/qtds35k/HighFrequencyTradingBot) | NEW | 2019-02-01 06:32:01 | 2019-02-01 08:26:27 | 61.0 | :heavy_multiplication_x: | |\n| [Dual-Attentive-Tree-aware-Embedding](https://github.com/Roytsai27/Dual-Attentive-Tree-aware-Embedding) | NEW | 2020-02-10 03:03:24 | 2021-07-18 03:12:19 | 61.0 | :heavy_multiplication_x: | |\n| [Chronicle-Accelerate](https://github.com/OpenHFT/Chronicle-Accelerate) | NEW | 2018-01-24 08:52:53 | 2018-08-11 12:11:43 | 60.0 | :heavy_multiplication_x: | |\n| [ejtraderCT](https://github.com/ejtraderLabs/ejtraderCT) | NEW | 2021-02-16 15:08:12 | 2023-07-13 14:04:21 | 60.0 | :heavy_check_mark: | |\n| [CamCapital](https://github.com/camandrewz/CamCapital) | NEW | 2021-04-26 21:38:45 | 2021-04-29 23:06:49 | 60.0 | :heavy_multiplication_x: | |\n| [Chronicle-Accelerate](https://github.com/peter-lawrey-admin/Chronicle-Accelerate) | NEW | 2018-01-24 08:52:53 | 2018-08-11 12:11:43 | 60.0 | :heavy_multiplication_x: | |\n| [crypto-hft-data](https://github.com/SpiralDevelopment/crypto-hft-data) | NEW | 2020-07-20 12:25:45 | 2020-07-23 15:30:15 | 59.0 | :heavy_multiplication_x: | |\n| [shift-python](https://github.com/hanlonlab/shift-python) | NEW | 2018-09-21 22:23:12 | 2023-08-14 21:22:57 | 57.0 | :heavy_check_mark: | |\n| [hft](https://github.com/sbenzev/hft) | NEW | 2012-11-29 03:55:33 | 2012-11-10 23:40:29 | 57.0 | :heavy_multiplication_x: | |\n| [FX-Trading-with-Python-and-Oanda](https://github.com/anthonyng2/FX-Trading-with-Python-and-Oanda) | NEW | 2017-02-23 07:48:12 | 2017-08-14 03:21:30 | 57.0 | :heavy_multiplication_x: | |\n| [fraud-detection](https://github.com/cloudacademy/fraud-detection) | NEW | 2017-08-03 09:07:49 | 2021-03-21 23:29:57 | 56.0 | :heavy_multiplication_x: | |\n| [fingerprintjs-pro-react-native](https://github.com/fingerprintjs/fingerprintjs-pro-react-native) | NEW | 2022-01-20 14:11:10 | 2024-09-10 17:29:20 | 56.0 | :heavy_check_mark: | |\n| [ESL](https://github.com/INET-Complexity/ESL) | NEW | 2019-07-21 19:12:33 | 2022-06-23 00:52:40 | 56.0 | :heavy_multiplication_x: | |\n| [collections](https://github.com/exchange-core/collections) | NEW | 2020-04-17 17:58:57 | 2020-10-15 19:21:43 | 55.0 | :heavy_multiplication_x: | |\n| [Building-A-Trading-Strategy-With-Python](https://github.com/bideeen/Building-A-Trading-Strategy-With-Python) | NEW | 2020-02-02 15:04:26 | 2020-02-02 15:12:38 | 55.0 | :heavy_multiplication_x: | |\n| [HFCrypto](https://github.com/PsiPhiTheta/HFCrypto) | NEW | 2017-01-28 12:35:17 | 2017-11-01 22:15:32 | 54.0 | :heavy_multiplication_x: | |\n| [hft-avellaneda](https://github.com/rspadim/hft-avellaneda) | NEW | 2019-04-15 13:06:03 | 2019-04-15 13:02:42 | 54.0 | :heavy_multiplication_x: | |\n| [HFT-Arbitrage-EA-MQL4-MQL5](https://github.com/HFTHaidra/HFT-Arbitrage-EA-MQL4-MQL5) | NEW | 2021-12-06 10:00:52 | 2022-04-06 19:42:33 | 54.0 | :heavy_multiplication_x: | |\n| [Fraud_Detection_SQL](https://github.com/maitree7/Fraud_Detection_SQL) | NEW | 2020-05-03 02:26:28 | 2020-05-03 06:38:08 | 53.0 | :heavy_multiplication_x: | |\n| [DRL_for_Active_High_Frequency_Trading](https://github.com/FinancialComputingUCL/DRL_for_Active_High_Frequency_Trading) | NEW | 2022-10-06 10:04:03 | 2023-10-23 08:41:48 | 53.0 | :heavy_check_mark: | |\n| [FaceLivenessDetection-Android](https://github.com/kby-ai/FaceLivenessDetection-Android) | NEW | 2023-03-08 13:40:38 | 2024-09-24 18:46:58 | 52.0 | :heavy_check_mark: | |\n| [High-Frequency-Trading-FPGA-System](https://github.com/muditbhargava66/High-Frequency-Trading-FPGA-System) | NEW | 2024-03-14 07:13:30 | 2024-04-25 20:53:26 | 52.0 | :heavy_check_mark: | |\n| [openapi-samples-js](https://github.com/SaxoBank/openapi-samples-js) | NEW | 2020-03-18 09:05:52 | 2024-09-05 06:31:29 | 52.0 | :heavy_check_mark: | |\n| [Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras](https://github.com/curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras) | NEW | 2017-06-09 13:58:13 | 2019-06-28 09:27:45 | 515.0 | :heavy_multiplication_x: | |\n| [Coiner](https://github.com/jihoonerd/Coiner) | NEW | 2017-09-26 04:14:36 | 2018-01-01 13:13:21 | 51.0 | :heavy_multiplication_x: | |\n| [hft](https://github.com/keyianpai/hft) | NEW | 2019-04-22 13:33:19 | 2019-04-05 01:47:45 | 51.0 | :heavy_multiplication_x: | |\n| [BERT4ETH_PyTorch](https://github.com/Bayi-Hu/BERT4ETH_PyTorch) | NEW | 2023-10-17 21:49:07 | 2023-12-01 05:20:19 | 51.0 | :heavy_check_mark: | |\n| [RipplePower](https://github.com/cping/RipplePower) | NEW | 2014-04-27 07:11:33 | 2021-01-02 07:37:47 | 51.0 | :heavy_multiplication_x: | |\n| [Fraud_Detection](https://github.com/KSpiliop/Fraud_Detection) | NEW | 2017-04-23 19:26:01 | 2017-04-26 18:15:30 | 51.0 | :heavy_multiplication_x: | |\n| [HoloScope](https://github.com/shenghua-liu/HoloScope) | NEW | 2017-02-17 21:09:11 | 2021-06-01 08:20:53 | 51.0 | :heavy_multiplication_x: | |\n| [dl-ml-twitch-macos](https://github.com/bshang165/dl-ml-twitch-macos) | NEW | 2023-06-09 14:55:24 | 2023-06-24 17:14:37 | 50.0 | :heavy_check_mark: | |\n| [esg-scoring](https://github.com/databricks-industry-solutions/esg-scoring) | NEW | 2022-05-30 19:18:26 | 2024-04-03 14:18:10 | 50.0 | :heavy_check_mark: | |\n| [tumbleweed_gdax](https://github.com/AlbatrossAutomated/tumbleweed_gdax) | NEW | 2018-03-19 19:30:26 | 2021-12-24 00:32:01 | 50.0 | :heavy_multiplication_x: | |\n| [Currency PCA](https://github.com/shanemulqueen/python-finance-pca/blob/master/FX_spots_w_PCA.ipynb) | Forex spots PCA. | 2019-03-12 21:11:29 | 2019-03-12 22:09:10 | 5.0 | :heavy_multiplication_x: | |\n| [Economic Foundations](https://github.com/SeanMcOwen/FinanceAndPython.com-EconomicFoundations) | Basic economic models. | 2017-05-25 02:27:36 | 2017-06-30 03:53:59 | 5.0 | :heavy_multiplication_x: | |\n| [hummingbot_chinese](https://github.com/CoinAlpha/hummingbot_chinese) | NEW | 2019-06-05 22:53:04 | 2022-03-29 03:03:27 | 498.0 | :heavy_multiplication_x: | |\n| [finmath-lib](https://github.com/finmath/finmath-lib) | NEW | 2013-03-17 10:00:22 | 2024-06-27 15:44:31 | 491.0 | :heavy_check_mark: | |\n| [creditcardML](https://github.com/eduonix/creditcardML) | NEW | 2018-07-26 10:46:29 | 2018-07-26 10:47:36 | 49.0 | :heavy_multiplication_x: | |\n| [FX-1-Minute-Data](https://github.com/philipperemy/FX-1-Minute-Data) | NEW | 2017-05-22 03:24:35 | 2024-03-26 02:50:18 | 489.0 | :heavy_check_mark: | |\n| [fraud-detection-handbook](https://github.com/Fraud-Detection-Handbook/fraud-detection-handbook) | NEW | 2021-05-03 11:33:12 | 2022-09-08 09:01:56 | 481.0 | :heavy_multiplication_x: | |\n| [Liquidity and Momentum](https://github.com/mrefermat/quant_finance) | Various factors and portfolio constructions. | 2018-08-11 22:59:53 | 2019-11-12 04:49:01 | 47.0 | :heavy_multiplication_x: | |\n| [roq-api](https://github.com/roq-trading/roq-api) | NEW | 2018-03-05 08:37:57 | 2024-09-15 04:14:50 | 466.0 | :heavy_check_mark: | |\n| [Deep Portfolio](https://github.com/DLColumbia/DL_forFinance) | Deep learning for finance Predict volume of bonds. | 2018-05-08 19:34:17 | 2018-05-09 15:39:25 | 44.0 | :heavy_multiplication_x: | |\n| [avellaneda-stoikov](https://github.com/fedecaccia/avellaneda-stoikov) | NEW | 2020-05-02 22:20:21 | 2020-05-02 22:40:59 | 420.0 | :heavy_multiplication_x: | |\n| [Bayesian Finance I](https://github.com/AlexIoannides/pymc-stochastic-process/blob/master/bayes_stoch_proc_calib.ipynb) | Stochastic Process Calibration using Bayesian Inference & Probabilistic Programs. | 2019-01-04 12:30:41 | 2019-02-18 09:55:21 | 42.0 | :heavy_multiplication_x: | |\n| [Bayesian Finance](https://github.com/marketneutral/alphatools/blob/master/notebooks/pymc3-minimal.ipynb) | Notebook PyMC3 implementation. | 2018-08-28 14:45:00 | 2020-08-06 22:03:47 | 402.0 | :heavy_multiplication_x: | |\n| [open-fraud-detection-kit](https://github.com/blingblingLTY/open-fraud-detection-kit) | NEW | 2024-06-15 15:38:52 | 2024-06-15 15:48:50 | 401.0 | :heavy_check_mark: | |\n| [Market Crash Prediction](https://github.com/sarachmax/MarketCrashes_Prediction/blob/master/LPPL_Comparasion.ipynb) | Predicting market crashes using an LPPL model. | 2019-01-24 13:37:45 | 2019-02-13 16:48:00 | 4.0 | :heavy_multiplication_x: | |\n| [M&A](https://github.com/atulram/Finance-and-Stocks) | Mergers and Acquisitions. | 2019-01-19 18:16:47 | 2019-02-18 16:57:19 | 4.0 | :heavy_multiplication_x: | |\n| [Life-cycle](https://github.com/atulram/Finance-and-Stocks/blob/master/CompanyLifeCycle.ipynb) | Company life cycle. | 2019-01-19 18:16:47 | 2019-02-18 16:57:19 | 4.0 | :heavy_multiplication_x: | |\n| [tribeca](https://github.com/michaelgrosner/tribeca) | NEW | 2015-07-07 18:40:45 | 2018-02-26 18:01:13 | 3993.0 | :heavy_multiplication_x: | |\n| [wondertrader](https://github.com/wondertrader/wondertrader) | NEW | 2020-03-30 05:43:52 | 2024-07-01 15:31:04 | 3944.0 | :heavy_check_mark: | |\n| [HFT](https://github.com/jshellen/HFT) | NEW | 2020-07-19 10:31:17 | 2023-09-24 13:06:18 | 390.0 | :heavy_check_mark: | |\n| [High Frequency](https://github.com/cswaney/prickle) | A Python toolkit for high-frequency trade research. | 2016-07-06 20:32:21 | 2018-06-09 10:53:51 | 39.0 | :heavy_multiplication_x: | |\n| [Q-Fin](https://github.com/RomanMichaelPaolucci/Q-Fin) | NEW | 2021-04-21 13:29:51 | 2023-04-07 14:39:41 | 389.0 | :heavy_check_mark: | |\n| [Bitfinex-bot](https://github.com/Timonade/Bitfinex-bot) | NEW | 2024-07-02 23:54:59 | 2024-07-02 23:55:01 | 351.0 | :heavy_check_mark: | |\n| [gamma-ray](https://github.com/hello2all/gamma-ray) | NEW | 2020-12-28 19:46:09 | 2022-02-07 09:00:03 | 345.0 | :heavy_multiplication_x: | |\n| [kungfu](https://github.com/kungfu-origin/kungfu) | NEW | 2017-11-15 06:54:01 | 2024-03-19 14:09:07 | 3380.0 | :heavy_check_mark: | |\n| [Krypto-trading-bot](https://github.com/ctubio/Krypto-trading-bot) | NEW | 2017-06-13 20:15:54 | 2024-09-28 17:30:22 | 3341.0 | :heavy_check_mark: | |\n| [fraud-detection-demo](https://github.com/afedulov/fraud-detection-demo) | NEW | 2019-11-04 09:23:17 | 2023-05-12 09:37:04 | 327.0 | :heavy_check_mark: | |\n| [getIPIntel](https://github.com/blackdotsh/getIPIntel) | NEW | 2015-10-02 21:40:50 | 2024-04-21 06:29:08 | 309.0 | :heavy_check_mark: | |\n| [fraud-detection-using-machine-learning](https://github.com/awslabs/fraud-detection-using-machine-learning) | NEW | 2019-05-17 17:12:46 | 2021-06-09 19:03:19 | 292.0 | :heavy_multiplication_x: | |\n| [ML-HFT](https://github.com/bradleyboyuyang/ML-HFT) | NEW | 2022-03-14 15:05:21 | 2022-09-20 08:41:02 | 290.0 | :heavy_multiplication_x: | |\n| [edgar-crawler](https://github.com/nlpaueb/edgar-crawler) | NEW | 2021-09-24 10:00:47 | 2024-07-05 14:21:45 | 280.0 | :heavy_check_mark: | |\n| [spartan](https://github.com/rigtorp/spartan) | NEW | 2012-11-22 04:29:42 | 2015-10-31 03:46:06 | 272.0 | :heavy_multiplication_x: | |\n| [Simulation](https://github.com/chenbowen184/Computational_Finance) | Investigating simulations as part of computational finance. | 2018-01-29 05:01:52 | 2018-08-02 05:56:49 | 27.0 | :heavy_multiplication_x: | |\n| [Computational Finance](https://github.com/lnsongxf/Applied_Computational_Economics_and_Finance) | Applied Computational Economics and Finance. | 2017-08-27 03:46:33 | 2017-08-26 04:26:04 | 25.0 | :heavy_multiplication_x: | |\n| [High-Frequency-Trading-Model-with-IB](https://github.com/jamesmawm/High-Frequency-Trading-Model-with-IB) | NEW | 2014-05-18 19:20:13 | 2019-06-21 14:58:07 | 2496.0 | :heavy_multiplication_x: | |\n| [Financial-Formulas-Library-.NET-Standard](https://github.com/srbrettle/Financial-Formulas-Library-.NET-Standard) | NEW | 2018-09-01 17:43:37 | 2019-11-22 12:50:30 | 249.0 | :heavy_multiplication_x: | |\n| [hft](https://github.com/nickhuangxinyu/hft) | NEW | 2019-03-12 14:57:01 | 2022-04-20 09:56:09 | 248.0 | :heavy_check_mark: | |\n| [InteractiveBrokers-Algo-System](https://github.com/rediar/InteractiveBrokers-Algo-System) | NEW | 2018-01-21 03:09:41 | 2023-06-12 01:31:10 | 242.0 | :heavy_check_mark: | |\n| [InteractiveBrokers-Algo-Trading-API](https://github.com/rediar/InteractiveBrokers-Algo-Trading-API) | NEW | 2018-01-21 03:09:41 | 2023-06-12 01:31:10 | 242.0 | :heavy_check_mark: | |\n| [math-php](https://github.com/markrogoyski/math-php) | NEW | 2016-04-03 17:57:14 | 2024-04-17 00:09:51 | 2330.0 | :heavy_check_mark: | |\n| [math-finance-cheat-sheet](https://github.com/daleroberts/math-finance-cheat-sheet) | NEW | 2014-05-02 00:19:01 | 2016-11-16 05:57:09 | 228.0 | :heavy_multiplication_x: | |\n| [talkingdata-adtracking-fraud-detection](https://github.com/flowlight0/talkingdata-adtracking-fraud-detection) | NEW | 2018-03-21 11:27:31 | 2018-06-10 15:30:50 | 228.0 | :heavy_multiplication_x: | |\n| [fraud-detection-papers](https://github.com/IPL/fraud-detection-papers) | NEW | 2017-09-29 02:47:54 | 2021-08-04 08:24:45 | 227.0 | :heavy_multiplication_x: | |\n| [ITCH](https://github.com/martinobdl/ITCH) | NEW | 2019-03-09 18:20:12 | 2021-10-22 23:41:53 | 225.0 | :heavy_multiplication_x: | |\n| [fingerprintjs](https://github.com/fingerprintjs/fingerprintjs) | NEW | 2015-02-11 08:49:54 | 2024-09-26 23:12:52 | 21903.0 | :heavy_check_mark: | |\n| [ml-fraud-detection](https://github.com/georgymh/ml-fraud-detection) | NEW | 2017-04-27 01:48:35 | 2018-01-31 21:17:26 | 214.0 | :heavy_multiplication_x: | |\n| [go-hft-orderbook](https://github.com/alexey-ernest/go-hft-orderbook) | NEW | 2019-12-02 18:05:00 | 2023-12-18 19:21:31 | 211.0 | :heavy_check_mark: | |\n| [realtime-fraud-detection-with-gnn-on-dgl](https://github.com/awslabs/realtime-fraud-detection-with-gnn-on-dgl) | NEW | 2021-03-11 05:05:35 | 2023-10-29 11:10:36 | 208.0 | :heavy_check_mark: | |\n| [exchange-core](https://github.com/mzheravin/exchange-core) | NEW | 2018-08-05 18:25:16 | 2022-05-14 19:22:32 | 2051.0 | :heavy_multiplication_x: | |\n| [gym-fx](https://github.com/harveybc/gym-fx) | NEW | 2017-02-21 21:04:09 | 2023-01-08 17:22:00 | 202.0 | :heavy_check_mark: | |\n| [fraudfinder](https://github.com/GoogleCloudPlatform/fraudfinder) | NEW | 2022-09-01 10:37:19 | 2024-02-08 17:18:59 | 202.0 | :heavy_check_mark: | |\n| [Finance Graph Theory](https://github.com/AvijitGhosh82/Finance_Graph_Theory) | Modelling Contentedness of Firms in Financial Markets with Heterogeneous Agents. | 2018-08-02 02:48:24 | 2019-03-16 18:39:38 | 20.0 | :heavy_multiplication_x: | |\n| [awesome-systematic-trading](https://github.com/wangzhe3224/awesome-systematic-trading) | NEW | 2021-12-11 17:57:13 | 2024-09-08 20:38:18 | 1970.0 | :heavy_check_mark: | |\n| [FXBot](https://github.com/trentstauff/FXBot) | NEW | 2021-05-10 20:47:59 | 2022-04-21 21:19:10 | 196.0 | :heavy_multiplication_x: | |\n| [bot18](https://github.com/carlos8f/bot18) | NEW | 2018-05-23 14:22:25 | 2018-10-17 08:06:21 | 193.0 | :heavy_multiplication_x: | |\n| [HFT](https://github.com/rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy) | High frequency trading. | 2016-07-21 05:14:14 | 2022-08-27 20:48:33 | 1921.0 | :heavy_multiplication_x: | |\n| [ReactiveTraderCloud](https://github.com/AdaptiveConsulting/ReactiveTraderCloud) | NEW | 2015-11-13 19:24:11 | 2024-08-14 17:35:51 | 1829.0 | :heavy_check_mark: | |\n| [hftbacktest](https://github.com/nkaz001/hftbacktest) | NEW | 2022-08-25 14:56:36 | 2024-09-22 15:07:25 | 1814.0 | :heavy_check_mark: | |\n| [Behavioural Economics](https://github.com/pcmichaud/notebooks) | Behavioural Economics and Finance Python Notebooks. | 2018-12-20 00:21:38 | 2019-03-26 11:51:46 | 18.0 | :heavy_multiplication_x: | |\n| [dashboard](https://github.com/hummingbot/dashboard) | NEW | 2022-06-17 19:15:31 | 2024-08-30 06:25:29 | 175.0 | :heavy_check_mark: | |\n| [Arbitrage-Crypto-Bot](https://github.com/pepedeveloper007/Arbitrage-Crypto-Bot) | NEW | 2024-03-21 20:47:24 | 2024-03-28 20:57:52 | 174.0 | :heavy_check_mark: | |\n| [Applied Corporate Finance](https://github.com/chenbowen184/Data_Science_in_Applied_Corporate_Finance) | Studies the empirical behaviours in stock market. | 2018-01-29 05:14:52 | 2018-07-19 06:25:36 | 17.0 | :heavy_multiplication_x: | |\n| [Critical Transitions](https://github.com/ryanholbrook/critical-transitions) | Detecting critical transitions in financial networks with topological data analysis. | 2019-01-22 10:59:50 | 2019-03-12 18:35:02 | 17.0 | :heavy_multiplication_x: | |\n| [NLP Finance Papers](https://github.com/chenbowen184/Research_Documents_Curation_with_NLP) | Curating quantitative finance papers using machine learning. | 2018-10-11 20:32:37 | 2018-12-24 23:27:55 | 17.0 | :heavy_multiplication_x: | |\n| [awesome-fraud-detection-papers](https://github.com/benedekrozemberczki/awesome-fraud-detection-papers) | NEW | 2019-05-27 10:23:22 | 2024-03-16 21:13:56 | 1603.0 | :heavy_check_mark: | |\n| [antifraud](https://github.com/finint/antifraud) | NEW | 2023-03-22 12:54:08 | 2024-09-18 10:15:55 | 160.0 | :heavy_check_mark: | |\n| [antifraud](https://github.com/AI4Risk/antifraud) | NEW | 2023-03-22 12:54:08 | 2024-09-18 10:15:55 | 160.0 | :heavy_check_mark: | |\n| [TradingStrategies](https://github.com/SoftAlgoTrade/TradingStrategies) | NEW | 2017-05-22 20:46:35 | 2017-10-29 11:09:37 | 160.0 | :heavy_multiplication_x: | |\n| [roq-samples](https://github.com/roq-trading/roq-samples) | NEW | 2018-03-27 04:19:09 | 2024-09-18 23:58:50 | 157.0 | :heavy_check_mark: | |\n| [solana-trading-cli](https://github.com/outsmartchad/solana-trading-cli) | NEW | 2024-05-29 12:08:32 | 2024-09-26 05:00:15 | 153.0 | :heavy_check_mark: | |\n| [HFT_Bitcoin](https://github.com/ghgr/HFT_Bitcoin) | NEW | 2017-07-27 07:11:48 | 2017-08-21 14:50:35 | 150.0 | :heavy_multiplication_x: | |\n| [Corporate Finance](https://github.com/SeanMcOwen/FinanceAndPython.com-CorporateFinance) | Basic corporate finance. | 2017-09-09 03:35:24 | 2017-09-09 23:04:48 | 15.0 | :heavy_multiplication_x: | |\n| [HFT-price-prediction](https://github.com/hzjken/HFT-price-prediction) | NEW | 2019-09-26 12:13:55 | 2019-09-28 05:45:48 | 147.0 | :heavy_multiplication_x: | |\n| [mbt_gym](https://github.com/JJJerome/mbt_gym) | NEW | 2022-05-09 11:19:28 | 2024-01-08 16:07:53 | 146.0 | :heavy_check_mark: | |\n| [Bookmarklet-Hacks-For-School](https://github.com/xploitspeeds/Bookmarklet-Hacks-For-School) | NEW | 2020-10-06 14:46:38 | 2021-12-15 22:06:05 | 145.0 | :heavy_multiplication_x: | |\n| [SumZeroTrading](https://github.com/rterp/SumZeroTrading) | NEW | 2016-01-19 05:43:31 | 2018-08-30 22:44:52 | 145.0 | :heavy_multiplication_x: | |\n| [HFTFramework](https://github.com/javifalces/HFTFramework) | NEW | 2021-11-09 07:48:07 | 2024-05-17 15:48:42 | 142.0 | :heavy_check_mark: | |\n| [transaction-fraud-detection](https://github.com/juniorcl/transaction-fraud-detection) | NEW | 2021-01-11 19:43:23 | 2021-02-27 14:21:27 | 142.0 | :heavy_multiplication_x: | |\n| [graph-fraud-detection-papers](https://github.com/safe-graph/graph-fraud-detection-papers) | NEW | 2019-11-21 05:39:23 | 2024-09-13 05:59:54 | 1403.0 | :heavy_check_mark: | |\n| [hft-limit-order-book](https://github.com/fasenderos/hft-limit-order-book) | NEW | 2022-07-26 08:02:48 | 2024-09-25 18:26:49 | 137.0 | :heavy_check_mark: | |\n| [Trading-Bot](https://github.com/RaidasGrisk/Trading-Bot) | NEW | 2017-11-27 21:20:40 | 2018-01-22 21:00:57 | 134.0 | :heavy_multiplication_x: | |\n| [Avellaneda-Stoikov](https://github.com/mdibo/Avellaneda-Stoikov) | NEW | 2017-10-16 03:36:34 | 2020-05-09 23:35:08 | 132.0 | :heavy_multiplication_x: | |\n| [beymani](https://github.com/pranab/beymani) | NEW | 2012-01-04 07:22:01 | 2022-04-26 18:46:04 | 129.0 | :heavy_multiplication_x: | |\n| [UGFraud](https://github.com/safe-graph/UGFraud) | NEW | 2020-06-01 22:34:14 | 2022-04-18 04:54:53 | 127.0 | :heavy_multiplication_x: | |\n| [lobster](https://github.com/rubik/lobster) | NEW | 2020-09-20 19:21:11 | 2022-09-03 06:55:49 | 127.0 | :heavy_multiplication_x: | |\n| [fecon236](https://github.com/MathSci/fecon236) | NEW | 2018-04-05 19:34:51 | 2019-01-11 08:07:56 | 126.0 | :heavy_multiplication_x: | |\n| [DGFraud-TF2](https://github.com/safe-graph/DGFraud-TF2) | NEW | 2021-05-13 18:47:01 | 2022-04-20 21:36:35 | 125.0 | :heavy_multiplication_x: | |\n| [HFT](https://github.com/JiayuZou2020/HFT) | NEW | 2022-04-11 09:25:34 | 2023-03-15 07:38:42 | 125.0 | :heavy_check_mark: | |\n| [FraudDetection](https://github.com/JarFraud/FraudDetection) | NEW | 2019-10-07 03:02:28 | 2022-08-10 07:18:52 | 124.0 | :heavy_multiplication_x: | |\n| [AXOrderBook](https://github.com/fpga2u/AXOrderBook) | NEW | 2022-06-08 02:55:31 | 2023-06-07 02:03:38 | 124.0 | :heavy_check_mark: | |\n| [HFT-CNN](https://github.com/ShimShim46/HFT-CNN) | NEW | 2018-08-18 06:39:32 | 2018-11-09 02:29:00 | 120.0 | :heavy_multiplication_x: | |\n| [OrderImbalance](https://github.com/shaileshkakkar/OrderImbalance) | NEW | 2018-06-04 16:35:40 | 2018-06-04 16:49:26 | 120.0 | :heavy_multiplication_x: | |\n| [HFTBOT](https://github.com/Naseefabu/HFTBOT) | NEW | 2022-05-05 05:55:13 | 2023-04-06 15:56:49 | 119.0 | :heavy_check_mark: | |\n| [FlashFunk](https://github.com/HFQR/FlashFunk) | NEW | 2020-09-18 13:14:37 | 2024-09-01 15:36:32 | 118.0 | :heavy_check_mark: | |\n| [Fraud-detection-using-deep-learning](https://github.com/aaxwaz/Fraud-detection-using-deep-learning) | NEW | 2017-06-18 12:35:24 | 2017-12-06 13:51:54 | 113.0 | :heavy_multiplication_x: | |\n| [Financial Economics](https://github.com/rsvp/fecon235/tree/master/nb) | Financial Economics Models. | 2014-11-09 04:49:01 | 2018-12-03 16:30:28 | 1127.0 | :heavy_multiplication_x: | |\n| [ECE1373_2016_hft_on_fpga](https://github.com/mustafabbas/ECE1373_2016_hft_on_fpga) | NEW | 2017-06-01 20:35:13 | 2017-06-08 18:47:08 | 112.0 | :heavy_multiplication_x: | |\n| [Algo-Trading](https://github.com/Manudecara/Algo-Trading) | NEW | 2020-07-07 10:14:46 | 2021-09-15 15:46:50 | 111.0 | :heavy_multiplication_x: | |\n| [algotrading](https://github.com/ivopetiz/algotrading) | NEW | 2018-07-10 22:10:41 | 2024-06-23 17:02:46 | 1089.0 | :heavy_check_mark: | |\n| [system](https://github.com/BillRun/system) | NEW | 2013-04-11 16:14:53 | 2022-09-19 14:24:20 | 108.0 | :heavy_multiplication_x: | |\n| [MStream](https://github.com/Stream-AD/MStream) | NEW | 2019-12-09 09:12:54 | 2024-01-10 03:25:25 | 108.0 | :heavy_check_mark: | |\n| [448Project](https://github.com/HujiaYuYoyo/448Project) | NEW | 2018-04-14 21:19:21 | 2018-06-10 09:29:37 | 105.0 | :heavy_multiplication_x: | |\n| [TalkingData](https://github.com/CuteChibiko/TalkingData) | NEW | 2018-05-09 15:17:45 | 2018-05-11 01:32:26 | 104.0 | :heavy_multiplication_x: | |\n| [Backtests](https://github.com/AlgoTraders/stock-analysis-engine) | Trading data and algorithms. | 2018-09-16 20:00:36 | 2020-09-05 13:01:05 | 1016.0 | :heavy_multiplication_x: | |\n| [barter-data-rs](https://github.com/barter-rs/barter-data-rs) | NEW | 2022-10-09 17:00:33 | 2024-07-12 20:14:00 | 101.0 | :heavy_check_mark: | |\n| [Fraud-Detection-Papers](https://github.com/zixi-liu/Fraud-Detection-Papers) | NEW | 2022-04-05 23:00:31 | 2024-09-25 03:22:36 | 100.0 | :heavy_check_mark: | |\n| [fraud-detection](https://github.com/yazanobeidi/fraud-detection) | NEW | 2017-08-04 15:03:47 | 2017-08-05 15:38:45 | 100.0 | :heavy_multiplication_x: | |\n| [Order_Imbalance_HFT](https://github.com/algosenses/Order_Imbalance_HFT) | NEW | 2018-07-05 06:50:07 | 2018-11-06 01:54:05 | 100.0 | :heavy_multiplication_x: | |" }, { "path": "generated_wiki/factor_and_risk_analysis.md", "content": "| repo | comment | created_at | last_commit | star_count | repo_status | rating |\n|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------|\n| [-1](https://github.com/Rastaman4e/-1) | NEW | nan | nan | nan | :heavy_check_mark: | |\n| [FEEDN](https://github.com/THEFEASTCOIN/FEEDN) | NEW | nan | nan | nan | :heavy_check_mark: | |\n| [factor-risk-parity](https://github.com/tngaspar/factor-risk-parity) | NEW | 2020-04-05 17:05:40 | 2022-09-18 14:42:03 | 9.0 | :heavy_multiplication_x: | |\n| [SafetyAndTrade](https://github.com/vrdcas/SafetyAndTrade) | NEW | 2020-04-11 20:18:03 | 2020-04-12 17:00:36 | 9.0 | :heavy_multiplication_x: | |\n| [VaR GaN](https://github.com/hamaadshah/market_risk_gan_keras) | Estimate Value-at-Risk for market risk management using Keras and TensorFlow. | 2018-08-06 16:09:44 | 2022-06-24 19:05:55 | 84.0 | :heavy_multiplication_x: | |\n| [Liberty-House-Club-Whitepaper](https://github.com/realbeeed/Liberty-House-Club-Whitepaper) | NEW | 2022-04-22 08:25:39 | 2022-04-22 08:27:24 | 8.0 | :heavy_check_mark: | |\n| [Various Risk Measures](https://github.com/Jorgencr/Alternative-and-Responsible-Investments/blob/master/Final_masterfile.ipynb) | Risk measures and factors for alternative and responsible investments. | 2017-08-07 14:44:32 | 2017-08-08 22:52:11 | 8.0 | :heavy_multiplication_x: | |\n| [Factor Analysis](https://github.com/garvit-kudesia91/factor_analysis/blob/master/Factor%20Analysis%20of%20Mutual%20Funds.ipynb) | Factor analysis for mutual funds. | 2018-03-13 07:39:20 | 2018-03-13 07:42:36 | 8.0 | :heavy_multiplication_x: | |\n| [one_factor_Hull_White_python](https://github.com/open-source-modelling/one_factor_Hull_White_python) | NEW | 2023-01-29 17:45:51 | 2024-03-24 19:48:04 | 8.0 | :heavy_check_mark: | |\n| [whitepaper](https://github.com/peacockbsc/whitepaper) | NEW | 2021-07-31 23:39:41 | 2022-08-25 09:52:38 | 7.0 | :heavy_multiplication_x: | |\n| [An-Analysis-of-PCA-and-Autoencoder-Generated-Factors-in-Predicting-SP500-Returns](https://github.com/Leo8216/An-Analysis-of-PCA-and-Autoencoder-Generated-Factors-in-Predicting-SP500-Returns) | NEW | 2020-01-18 00:53:46 | 2020-01-18 03:59:36 | 7.0 | :heavy_multiplication_x: | |\n| [The-Reason-Why-Everyone-Love-Mining-Tools](https://github.com/dcstechnoweb/The-Reason-Why-Everyone-Love-Mining-Tools) | NEW | 2022-06-13 05:11:36 | 2022-06-13 05:12:52 | 7.0 | :heavy_multiplication_x: | |\n| [-L-](https://github.com/jettbrains/-L-) | NEW | 2019-10-28 21:50:26 | 2019-10-28 21:51:19 | 67.0 | :heavy_multiplication_x: | |\n| [Bitcoin_Since_Pandemic](https://github.com/at-tan/Bitcoin_Since_Pandemic) | NEW | 2022-02-12 11:12:37 | 2022-02-12 17:46:45 | 6.0 | :heavy_multiplication_x: | |\n| [Pyfolio](https://github.com/quantopian/pyfolio) | Portfolio and risk analytics in Python. | 2015-06-01 15:31:39 | 2020-02-28 17:30:19 | 5631.0 | :heavy_multiplication_x: | |\n| [financeMacroFactors](https://github.com/sankhaMukherjee/financeMacroFactors) | NEW | 2020-07-22 15:42:14 | 2020-08-23 14:17:13 | 5.0 | :heavy_multiplication_x: | |\n| [Quant Finance](https://github.com/mrefermat/quant_finance) | General quant repository. | 2018-08-11 22:59:53 | 2019-11-12 04:49:01 | 47.0 | :heavy_multiplication_x: | |\n| [CAPM](https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%202%2C%20CAPM.ipynb) | Expected returns using CAPM. | 2016-05-10 11:03:48 | 2016-05-17 03:44:56 | 44.0 | :heavy_multiplication_x: | |\n| [Risk Basic](https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%203%2C%20Risk.ipynb) | Active portfolio risk management . | 2016-05-10 11:03:48 | 2016-05-17 03:44:56 | 44.0 | :heavy_multiplication_x: | |\n| [Long-Term-Stock-Price-Growth-Prediction-using-NLP-on-10-K-Financial-Reports](https://github.com/deepak223098/Long-Term-Stock-Price-Growth-Prediction-using-NLP-on-10-K-Financial-Reports) | NEW | 2019-12-21 07:14:30 | 2020-07-06 11:21:13 | 40.0 | :heavy_multiplication_x: | |\n| [toraniko](https://github.com/0xfdf/toraniko) | NEW | 2024-07-03 04:04:59 | 2024-08-05 04:58:20 | 376.0 | :heavy_check_mark: | |\n| [Empirical-Method-in-Finance](https://github.com/yitaohu88/Empirical-Method-in-Finance) | NEW | 2021-01-13 23:48:30 | 2021-01-13 23:57:32 | 34.0 | :heavy_multiplication_x: | |\n| [Statistical Finance](https://github.com/mrefermat/FinancePhD/tree/master/FinancialExperiments) | Various financial experiments. | 2015-10-04 09:10:54 | 2020-03-28 18:33:58 | 33.0 | :heavy_multiplication_x: | |\n| [Performance Analysis](https://github.com/quantopian/alphalens) | Performance analysis of predictive (alpha) stock factors. | 2016-06-03 21:49:15 | 2020-04-27 18:40:41 | 3282.0 | :heavy_multiplication_x: | |\n| [AlphaTrading](https://github.com/jerryxyx/AlphaTrading) | NEW | 2018-05-18 22:09:52 | 2018-08-07 18:05:37 | 324.0 | :heavy_multiplication_x: | |\n| [equity-risk-model](https://github.com/blaahhrrgg/equity-risk-model) | NEW | 2021-11-16 11:29:57 | 2024-01-30 11:48:44 | 31.0 | :heavy_check_mark: | |\n| [Convex Optimisation](https://github.com/ssanderson/convex-optimization-for-finance/blob/master/notebooks/Main.ipynb) | Convex Optimization for Finance. | 2018-06-26 20:36:47 | 2019-10-22 21:56:46 | 28.0 | :heavy_multiplication_x: | |\n| [Factor Analysis](https://github.com/alpha-miner/alpha-mind/tree/master/notebooks) | Factor strategy notebooks. | 2017-05-01 07:36:54 | 2022-05-21 15:02:13 | 226.0 | :heavy_multiplication_x: | |\n| [stock-market-analysis-using-python-numpy-pandas](https://github.com/Ashishsinha10/stock-market-analysis-using-python-numpy-pandas) | NEW | 2018-04-10 05:15:49 | 2018-04-10 05:28:54 | 21.0 | :heavy_multiplication_x: | |\n| [Stock-Prediction](https://github.com/Ronak-59/Stock-Prediction) | NEW | 2018-03-18 04:54:45 | 2020-02-28 11:43:07 | 207.0 | :heavy_multiplication_x: | |\n| [Machine_learning_In_Finance](https://github.com/chaudharigauravi/Machine_learning_In_Finance) | NEW | 2019-08-03 04:04:51 | 2019-08-03 04:05:32 | 18.0 | :heavy_multiplication_x: | |\n| [Python for Finance](https://github.com/yhilpisch/py4fi/tree/master/jupyter36) | Various financial notebooks. | 2014-12-15 11:23:34 | 2018-07-10 06:38:12 | 1794.0 | :heavy_multiplication_x: | |\n| [Risk and Return](https://github.com/PyDataBlog/Python-for-Data-Science/tree/master/Tutorials) | Riskiness of portfolios and assets. | 2017-09-12 13:35:09 | 2020-08-06 12:35:44 | 168.0 | :heavy_multiplication_x: | |\n| [simulate](https://github.com/leolle/simulate) | NEW | 2017-06-04 15:18:21 | 2018-11-11 14:03:40 | 16.0 | :heavy_multiplication_x: | |\n| [Bitcoin-Price-Prediction-using-AI-ML.](https://github.com/ananya2001gupta/Bitcoin-Price-Prediction-using-AI-ML.) | NEW | 2022-08-02 13:16:50 | 2022-08-02 14:29:16 | 15.0 | :heavy_multiplication_x: | |\n| [Liberty-House-Club-Whitepaper](https://github.com/Mdshobu/Liberty-House-Club-Whitepaper) | NEW | 2022-07-12 18:36:00 | 2022-04-22 08:27:24 | 15.0 | :heavy_multiplication_x: | |\n| [Quantitative-Trading-Strategy-Based-on-Machine-Learning](https://github.com/majiajue/Quantitative-Trading-Strategy-Based-on-Machine-Learning) | NEW | 2020-08-07 06:22:35 | 2020-08-04 06:20:36 | 14.0 | :heavy_multiplication_x: | |\n| [Quantropy](https://github.com/AlainDaccache/Quantropy) | NEW | 2020-06-13 15:34:25 | 2021-03-15 01:49:23 | 135.0 | :heavy_multiplication_x: | |\n| [TradeFinexLive](https://github.com/XinFinOrg/TradeFinexLive) | NEW | 2018-03-21 10:05:22 | 2021-08-16 11:40:03 | 13.0 | :heavy_multiplication_x: | |\n| [VaR](https://github.com/willb/var-notebook/blob/master/var-notebook/var-pdfs.ipynb) | Value-at-risk calculations. | 2016-11-15 19:24:17 | 2017-01-14 21:19:30 | 11.0 | :heavy_multiplication_x: | |" }, { "path": "generated_wiki/fixed_income.md", "content": "| repo | comment | created_at | last_commit | star_count | repo_status | rating |\n|:-----------------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------|\n| [Binomial Tree](https://github.com/hy-lei/math-finance-exercise) | Utility functions in fixed income securities. | 2019-02-02 08:44:14 | 2019-05-03 17:16:52 | 8.0 | :heavy_multiplication_x: | |\n| [Vasicek](https://github.com/RobinsonGarcia/fixed-income/blob/master/2.0%20Vasicek%20-%20example.ipynb) | Bootstrapping and interpolation. | 2018-07-18 19:26:54 | 2018-07-18 19:34:48 | 6.0 | :heavy_multiplication_x: | |\n| [neurons](https://github.com/Aryia-Behroziuan/neurons) | NEW | 2020-11-07 12:17:04 | 2020-11-07 12:17:06 | 55.0 | :heavy_multiplication_x: | |\n| [R-fixedincome](https://github.com/wilsonfreitas/R-fixedincome) | NEW | 2013-09-16 01:10:50 | 2023-06-27 08:10:20 | 51.0 | :heavy_check_mark: | |\n| [rating_history](https://github.com/govwiki/rating_history) | NEW | 2017-11-23 22:52:14 | 2023-06-29 22:16:57 | 47.0 | :heavy_check_mark: | |\n| [TRACE-corporate-bond-processing](https://github.com/Alexander-M-Dickerson/TRACE-corporate-bond-processing) | NEW | 2020-12-18 10:20:12 | 2024-07-18 02:33:32 | 43.0 | :heavy_check_mark: | |\n| [augmented-finance-protocol](https://github.com/augmented-finance/augmented-finance-protocol) | NEW | 2021-03-27 11:01:43 | 2022-02-16 15:58:35 | 38.0 | :heavy_multiplication_x: | |\n| [market-data](https://github.com/kriasoft/market-data) | NEW | 2012-12-07 13:42:48 | 2012-12-15 12:10:06 | 35.0 | :heavy_multiplication_x: | |\n| [DROP-Fixed-Income](https://github.com/lakshmiDRIP/DROP-Fixed-Income) | NEW | 2017-08-10 20:58:18 | 2018-09-26 19:21:02 | 28.0 | :heavy_multiplication_x: | |\n| [woe](https://github.com/boredbird/woe) | NEW | 2017-09-11 07:15:04 | 2018-03-01 10:45:40 | 256.0 | :heavy_multiplication_x: | |\n| [punk.protocol](https://github.com/PunkFinance/punk.protocol) | NEW | 2021-04-29 08:39:42 | 2021-08-13 11:53:11 | 23.0 | :heavy_multiplication_x: | |\n| [fixed-income](https://github.com/daniel-m-campos/fixed-income) | NEW | 2017-09-17 05:23:47 | 2020-12-18 01:35:41 | 21.0 | :heavy_multiplication_x: | |\n| [sagemaker-corporate-credit-rating](https://github.com/awslabs/sagemaker-corporate-credit-rating) | NEW | 2021-11-12 00:49:14 | 2022-12-20 17:11:03 | 20.0 | :heavy_check_mark: | |\n| [Corporate Bonds](https://github.com/ishank011/gs-quantify-bond-prediction) | Predicting the buying and selling volume of the corporate bonds. | 2017-09-27 19:57:13 | 2017-09-27 20:00:29 | 19.0 | :heavy_multiplication_x: | |\n| [pyratings](https://github.com/hsbc/pyratings) | NEW | 2022-03-24 14:51:59 | 2024-06-18 07:03:07 | 19.0 | :heavy_check_mark: | |\n| [rateslib](https://github.com/attack68/rateslib) | NEW | 2023-03-31 12:47:27 | 2024-09-25 16:07:35 | 128.0 | :heavy_check_mark: | |\n| [MagentoExtensions](https://github.com/5mehulhelp5/MagentoExtensions) | NEW | 2014-07-03 05:45:54 | 2024-07-29 08:14:55 | 121.0 | :heavy_check_mark: | |" }, { "path": "generated_wiki/other_models.md", "content": "| repo | comment | created_at | last_commit | star_count | repo_status | rating |\n|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------|\n| [Microservices-Based-Algorithmic-Trading-System](https://github.com/saeed349/Microservices-Based-Algorithmic-Trading-System) | docker based platfrom for developing algo trading strategies. Very interesting combinations of open source components were used including [backtrader](https://www.backtrader.com/) for backtest strategies / [mlflow](https://mlflow.org/) for managing the machine learning model life cycle (i.e. training and developing machine learning models) / [airflow](https://airflow.apache.org/) used as workflow management including schedule data download etc. / [superset](https://superset.apache.org/) web data visualization tool similar to tableau / [minio](https://min.io/) for fast object storage (i.e. storing saved models and model artifacts) / postgresql used to store security master and daily and minute data. Also contains some details on deployment on cloud | 2020-01-06 00:21:58 | 2024-04-08 19:33:16 | 443.0 | :heavy_check_mark: | :star:x5 |\n| [Awesome-Quant-Machine-Learning-Trading](https://github.com/grananqvist/Awesome-Quant-Machine-Learning-Trading) | curated list of books/online courses/youtube videos/blogs/interviews/papers/code etc. Updates are pretty infrequent | 2018-11-05 21:09:06 | 2020-10-08 16:48:18 | 2675.0 | :heavy_multiplication_x: | :star:x5 |\n| [Hands-On-Machine-Learning-for-Algorithmic-Trading](https://github.com/PacktPublishing/Hands-On-Machine-Learning-for-Algorithmic-Trading) | repo for book [hands-on-machine learning for algorithmic trading](https://www.packtpub.com/product/hands-on-machine-learning-for-algorithmic-trading/9781789346411) covering topic from data/unsupervised learning/NPL/RNN & CNN/reinforcement learning etc. Leverage zipline/alphalens/sklearn/openai-gym etc as well. Good references to have | 2019-05-07 11:04:25 | 2023-01-18 09:16:47 | 1418.0 | :heavy_check_mark: | :star:x5 |\n| [fin-ml](https://github.com/tatsath/fin-ml) | accompanying materials for book [Machine Learning and Data Science Blueprints for Finance](https://www.amazon.com/Machine-Learning-Science-Blueprints-Finance/dp/1492073059) on top of basic machine learning models i.e. nlp/reinforcement learning/supervised & unsupervised learning it covers wider topics including robo-advisors/fraud detection/loan default/derivative pricing/yield curve construction. | 2020-05-10 00:25:56 | 2023-01-26 22:03:20 | 846.0 | :heavy_check_mark: | :star:x4 |\n| [Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original](https://github.com/PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original) | official repo for [machine learning for algorithmic trading](https://www.amazon.com/Machine-Learning-Algorithmic-Trading-alternative/dp/1839217715?pf_rd_r=GZH2XZ35GB3BET09PCCA&pf_rd_p=c5b6893a-24f2-4a59-9d4b-aff5065c90ec&pd_rd_r=91a679c7-f069-4a6e-bdbb-a2b3f548f0c8&pd_rd_w=2B0Q0&pd_rd_wg=GMY5S&ref_=pd_gw_ci_mcx_mr_hp_d) book. Covering topics including backtesting/boosting/nlp/deep&reinforcement learning. Leverage open source libraries including [backtrader](https://www.backtrader.com/) [zipline](https://github.com/quantopian/zipline) and [talib](https://github.com/mrjbq7/ta-lib) | 2019-11-15 08:51:40 | 2023-01-18 09:11:25 | 1192.0 | :heavy_check_mark: | :star:x4 |\n| [AlphaPy](https://github.com/ScottfreeLLC/AlphaPy) | machine learning framework built on sklearn and pandas. Support pyfolio/xgboost/lightgmb/catboost(gradient boosting on decision tress) etc. Examples include financial market prediction/sports prediction/kaggle. Configurations are set though yaml file for all model process including feature selection/grid search on parameters and aggregate results for each model | 2016-02-14 00:47:32 | 2024-02-10 16:41:20 | 1137.0 | :heavy_check_mark: | :star:x4 |\n| [Stock.Indicators](https://github.com/DaveSkender/Stock.Indicators) | list of technical indicators implemented in c#. Full list and explanation available [here](https://daveskender.github.io/Stock.Indicators/docs/INDICATORS.html). This list contains several indicators that ta-lib does not cover | 2019-12-29 05:18:07 | 2024-09-09 18:29:11 | 963.0 | :heavy_check_mark: | :star:x3 |\n| [Fundamental LT Forecasts](https://github.com/Hvass-Labs/FinanceOps) | Research in investment finance for long term forecasts and a curated list of notebooks. Each topic contains a youtube video explaining in details. Interesting topics including using price per book ratio and other multiples for future return prediction and portfolio optimization. data sourced form [simfin](https://github.com/SimFin/simfin) yahoo finance and [s&p 500 earnings and estimate report](https://www.spglobal.com/spdji/en/documents/additional-material/sp-500-eps-est.xlsx) etc. | 2018-07-22 08:14:46 | 2022-02-12 13:26:40 | 838.0 | :heavy_multiplication_x: | :star:x3 |\n| [stock-trading-ml](https://github.com/yacoubb/stock-trading-ml) | lstm model using keras to predict msft prices. Data is from [alphavantage](https://www.alphavantage.co/) which provides some free data through web services. Showing how to use concatenation layer to join timeseries data with TA data. Might be abit of overfitting on the model though | 2019-10-10 09:44:02 | 2019-10-12 11:38:49 | 597.0 | :heavy_multiplication_x: | :star:x3 |\n| [MathAndScienceNotes](https://github.com/melling/MathAndScienceNotes) | Collections of news/articles on various topics including quant trading and machine learning. Some articles are from [ycombinator message board](https://news.ycombinator.com/news) and [rediit algotrading forum](https://www.reddit.com/r/algotrading/) | 2016-03-11 19:13:00 | 2020-12-21 03:54:51 | 504.0 | :heavy_multiplication_x: | :star:x3 |\n| [mlfinlab](https://github.com/hudson-and-thames/mlfinlab) | open source library maintained by hudson and thames though much of the content has moved to a subscription model. Idea is to implement academic research in python code and aggregate it as a package. Sources from [Journal of financial data science](https://jfds.pm-research.com/) / [journal of portfolio management](https://jpm.pm-research.com/) / [journal of algorithmic finance](http://www.algorithmicfinance.org/) / [cambridge university press](https://www.cambridge.org/) | 2019-02-13 16:57:25 | 2021-12-01 08:04:50 | 3933.0 | :heavy_multiplication_x: | :star:x3 |\n| [Machine-Learning-for-Algorithmic-Trading-Bots-with-Python](https://github.com/PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Bots-with-Python) | code repo for [machine learning for algorithmic trading bots](https://www.packtpub.com/application-development/machine-learning-algorithmic-trading-bots-python-video) video series. Contains notebooks and deep dive using [zipline](https://github.com/quantopian/zipline) | 2018-12-06 11:35:08 | 2023-01-30 09:31:10 | 381.0 | :heavy_check_mark: | :star:x3 |\n| [Machine-Learning-for-Finance](https://github.com/PacktPublishing/Machine-Learning-for-Finance) | repo for book [machine learning for finance](https://www.packtpub.com/product/machine-learning-for-finance/9781789136364) with heavier focus on machine learning and less on finance. Topics covered including computer vision/time series/nlp/generative models (i.e. autoencoder)/reinforcement learning/debugging ml systems | 2018-03-15 06:28:00 | 2023-01-30 09:45:35 | 356.0 | :heavy_check_mark: | :star:x3 |\n| [awesome-ai-in-finance](https://github.com/georgezouq/awesome-ai-in-finance) | curated list of books/online courses/papers on AI and finance. Topics include crypto trading strategies/ta/backter etc. | 2018-08-29 02:07:02 | 2024-06-10 07:13:13 | 3411.0 | :heavy_check_mark: | :star:x3 |\n| [mosquito](https://github.com/miro-ka/mosquito) | base framework trading bot for crypto. Stores data in local mongodb instance and supports backtest and live trading on [poloniex](https://poloniex.com/) and [bittrex](https://bittrex.com/) which are 12-15th ranked crypto exchanges by volume. Leverage [talib](https://github.com/mrjbq7/ta-lib) for ta data and [plotly](https://github.com/plotly/plotly.py) for visualization | 2017-06-18 19:57:17 | 2023-04-23 21:39:31 | 261.0 | :heavy_check_mark: | :star:x3 |\n| [Short-Term Movement Cues](https://github.com/anfederico/Clairvoyant) | Identify social/historical cues for short term stock movement. Sklearn SVM model is used and good visualization coded in matplotlib | 2016-09-12 18:38:17 | 2021-06-24 15:43:54 | 2410.0 | :heavy_multiplication_x: | :star:x3 |\n| [Mixture Models II](https://github.com/BlackArbsCEO/mixture_model_trading_public) | Mixture models and stock trading. | 2017-12-11 17:05:38 | 2020-05-13 23:50:47 | 193.0 | :heavy_multiplication_x: | :star:x3 |\n| [ML_Finance_Codes](https://github.com/mfrdixon/ML_Finance_Codes) | accompanying materials for book [Machine Learning in Finance](https://www.springer.com/gp/book/9783030410674) covering probabilistic modeling/sequence modeling/neural networks/reinforcement learning etc. | 2019-09-27 16:13:50 | 2020-06-13 21:20:26 | 1777.0 | :heavy_multiplication_x: | :star:x3 |\n| [surpriver](https://github.com/tradytics/surpriver) | Machine learning algo to detect anomaly in equities data. Uses sklearn [IsolationForest](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.IsolationForest.html) model and price/volume based technical signals as features using [ta](https://github.com/bukosabino/ta) library. Opensourced by [tradytics](https://tradytics.com/). Code structures are less extensible | 2020-08-30 07:56:22 | 2020-09-21 04:32:05 | 1755.0 | :heavy_multiplication_x: | :star:x3 |\n| [Scikit-learn Stock Prediction](https://github.com/robertmartin8/MachineLearningStocks) | using fundamental and pricing data to predict future stock returns. Sklearn's randomforest classifier is trainded and author claimed positive live trading results. Not actively mainained | 2017-02-12 04:50:44 | 2021-02-04 03:48:33 | 1744.0 | :heavy_multiplication_x: | :star:x3 |\n| [Speculator](https://github.com/amicks/Speculator) | python code to predict crypto prices using machine learning models. Two models used here tensorflow DNNClassifier and sklearn randomforest. Exposes the functionality as web services api using flask. Some idea are based on this paper [predicting the direction of stock market prices](https://arxiv.org/pdf/1605.00003.pdf) | 2017-09-03 17:43:03 | 2018-09-12 18:58:38 | 103.0 | :heavy_multiplication_x: | :star:x3 |\n| [Machine-Learning-and-AI-in-Trading](https://github.com/PyPatel/Machine-Learning-and-AI-in-Trading) | repo covering lstm and other sklearn model for trading. Code is not structured well and less extensible | 2017-08-30 06:14:59 | 2019-10-29 08:14:39 | 389.0 | :heavy_multiplication_x: | :star:x2 |\n| [CryptoBot](https://github.com/AdeelMufti/CryptoBot) | Hard fork of [bitpredit](https://github.com/cbyn/bitpredict) and form the trading strategy as a classification problem with -1 (sell) 0 (hold) 1 (buy). Models used are XGBClassifier/RandomForest/GradientBoosting. Not mentained | 2017-01-17 12:44:52 | 2017-01-17 12:48:17 | 358.0 | :heavy_multiplication_x: | :star:x2 |\n| [Mixture Models I](https://github.com/BlackArbsCEO/Mixture_Models) | Mixture models to predict market bottoms and regime changes based on a seminar given to quantinsti in 2017 and summary and video is [here](https://blog.quantinsti.com/webinar-can-we-use-mixture-models-to-predict-market-bottoms/). Gaussian mixture models are build on markov models and expectation maximization thoery to detect regimes and seminar reported positive results using features asset returns/tedrate/10y2ysptread/10y3m spread from fred which can be access here [fredapi](https://github.com/mortada/fredapi). Though most of the returns came from being long equities after 2009 | 2017-03-20 18:54:24 | 2017-04-25 23:35:20 | 35.0 | :heavy_multiplication_x: | :star:x2 |\n| [Machine-Learning-For-Finance](https://github.com/anthonyng2/Machine-Learning-For-Finance) | accompanying materials for slide [here](https://github.com/anthonyng2/Machine-Learning-For-Finance/blob/master/Regression%20Based%20Machine%20Learning%20for%20Algorithmic%20Trading/Machine%20Learning%20-%20Linear%20Regression%20for%20Algo%20Trading%20v2017-07-13.pdf) covering more tradition quant trading topics like pair trading/kalman filter/trend following etc. Referecing interesting paper [characterization of financial time series](http://www.cs.ucl.ac.uk/fileadmin/UCL-CS/research/Research_Notes/RN_11_01.pdf) | 2017-07-11 09:09:15 | 2018-02-21 05:36:35 | 249.0 | :heavy_multiplication_x: | :star:x2 |\n| [botflow](https://github.com/kkyon/botflow) | python dataflow programming framework. Similar and probably replaceable by sklearn.pipeline module. Uses [graphviz](https://graphviz.org/) for visiualization though not maintained with last commit over 3 years ago | 2018-08-20 03:13:31 | 2019-05-23 14:40:50 | 1197.0 | :heavy_multiplication_x: | :star:x2 |\n| [finance_ml](https://github.com/jjakimoto/finance_ml) | unofficial repo based on [Advances in Financial Machine Learning](https://www.amazon.com/Advances-Financial-Machine-Learning-Marcos/dp/1119482089). It's incomplete and not updated | 2018-06-29 21:21:17 | 2021-06-07 19:28:50 | 756.0 | :heavy_multiplication_x: | :star:x1 |\n| [Pattern-Recognition-for-Forex-Trading](https://github.com/PythonProgramming/Pattern-Recognition-for-Forex-Trading) | repo for article [pattern recognization for forex trading](https://pythonprogramming.net/machine-learning-pattern-recognition-algorithmic-forex-stock-trading/) not very scalable and not maintained | 2015-03-26 02:22:03 | 2015-03-26 02:33:51 | 231.0 | :heavy_multiplication_x: | :star:x1 |\n| [Trend Following](http://inseaddataanalytics.github.io/INSEADAnalytics/ExerciseSet2.html) | A futures trend following portfolio investment strategy. | nan | nan | nan | :heavy_check_mark: | |\n| [TradingView-Machine-Learning-GUI](https://github.com/TreborNamor/TradingView-Machine-Learning-GUI) | NEW | 2021-01-27 06:42:02 | 2023-11-19 17:43:32 | 741.0 | :heavy_check_mark: | |\n| [financial-machine-learning](https://github.com/firmai/financial-machine-learning) | NEW | 2019-03-21 21:00:35 | 2024-09-27 01:28:02 | 6988.0 | :heavy_check_mark: | |\n| [Machine-Learning-for-Asset-Managers](https://github.com/emoen/Machine-Learning-for-Asset-Managers) | NEW | 2020-06-21 17:56:55 | 2022-09-07 10:03:16 | 473.0 | :heavy_multiplication_x: | |\n| [mlbot_tutorial](https://github.com/richmanbtc/mlbot_tutorial) | NEW | 2021-07-19 14:07:12 | 2022-11-28 08:30:59 | 468.0 | :heavy_check_mark: | |\n| [tuneta](https://github.com/jmrichardson/tuneta) | NEW | 2021-01-20 01:05:51 | 2023-10-13 21:26:28 | 400.0 | :heavy_check_mark: | |\n| [MLSys-NYU-2022](https://github.com/jacopotagliabue/MLSys-NYU-2022) | NEW | 2022-07-29 21:57:24 | 2022-12-11 23:07:15 | 341.0 | :heavy_check_mark: | |\n| [fracdiff](https://github.com/fracdiff/fracdiff) | NEW | 2021-04-27 06:48:47 | 2023-02-05 02:51:15 | 290.0 | :heavy_check_mark: | |\n| [AI-Scalpel-Trading-Bot](https://github.com/hackobi/AI-Scalpel-Trading-Bot) | NEW | 2019-09-06 07:17:28 | 2023-08-24 22:50:53 | 290.0 | :heavy_check_mark: | |\n| [AMLSim](https://github.com/IBM/AMLSim) | NEW | 2018-12-18 16:14:56 | 2022-02-14 01:00:28 | 255.0 | :heavy_multiplication_x: | |\n| [Stanford-Project-Predicting-stock-prices-using-a-LSTM-Network](https://github.com/dduemig/Stanford-Project-Predicting-stock-prices-using-a-LSTM-Network) | NEW | 2019-02-19 17:40:43 | 2023-07-11 16:44:23 | 244.0 | :heavy_check_mark: | |\n| [Algorithmic_Trading_Machine_Learning](https://github.com/Luchkata/Algorithmic_Trading_Machine_Learning) | NEW | 2023-10-13 13:26:45 | 2024-02-04 15:29:13 | 227.0 | :heavy_check_mark: | |\n| [StockFormer](https://github.com/gsyyysg/StockFormer) | NEW | 2023-07-30 07:33:25 | 2023-10-30 12:23:11 | 225.0 | :heavy_check_mark: | |\n| [pybroker](https://github.com/edtechre/pybroker) | NEW | 2023-01-16 01:11:52 | 2024-09-22 22:01:23 | 1942.0 | :heavy_check_mark: | |\n| [qlib](https://github.com/microsoft/qlib) | NEW | 2020-08-14 06:46:00 | 2024-09-12 15:44:27 | 15251.0 | :heavy_check_mark: | |\n| [hyperdrive](https://github.com/suchak1/hyperdrive) | NEW | 2020-06-12 01:05:01 | 2023-07-08 05:21:13 | 138.0 | :heavy_check_mark: | |\n| [STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA](https://github.com/kennedyCzar/STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA) | NEW | 2018-09-05 03:20:52 | 2022-09-08 13:19:53 | 122.0 | :heavy_multiplication_x: | |\n| [Algorithmic-Trading](https://github.com/SravB/Algorithmic-Trading) | NEW | 2017-08-02 03:31:47 | 2017-12-27 04:21:55 | 112.0 | :heavy_multiplication_x: | |\n| [Pairs-Trading-with-Machine-Learning](https://github.com/wangy8989/Pairs-Trading-with-Machine-Learning) | NEW | 2018-05-23 02:29:32 | 2022-05-13 06:02:12 | 110.0 | :heavy_multiplication_x: | |\n| [Binance-Ai-Bot-Starter](https://github.com/Hephyrius/Binance-Ai-Bot-Starter) | NEW | 2019-03-04 17:47:44 | 2022-04-17 10:37:31 | 107.0 | :heavy_multiplication_x: | |\n| [MLiFC](https://github.com/JannesKlaas/MLiFC) | NEW | 2017-09-14 11:47:33 | 2018-02-27 12:15:11 | 105.0 | :heavy_multiplication_x: | |\n| [tfq-finance](https://github.com/jialuechen/tfq-finance) | NEW | 2024-08-03 05:09:18 | 2024-08-12 04:32:32 | 103.0 | :heavy_check_mark: | |\n| [intelligent-trading-bot](https://github.com/asavinov/intelligent-trading-bot) | NEW | 2021-10-24 08:34:07 | 2024-09-18 11:26:11 | 1011.0 | :heavy_check_mark: | |\n| [Stock-Market-Analysis](https://github.com/mhsmathew/Stock-Market-Analysis) | NEW | 2020-04-13 22:22:29 | 2020-06-13 21:11:47 | 100.0 | :heavy_multiplication_x: | |" }, { "path": "generated_wiki/personal_papers.md", "content": "| repo | comment | created_at | last_commit | star_count | repo_status | rating |\n|:--------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------|:------------------------|:-------------------------|:------------------------|:------------------------------|:--------------------|\n| [Machine Learning in Asset Management—Part 2: Portfolio Construction—Weight Optimization](https://jfds.pm-research.com/content/2/2/17) | nan | nan | nan | nan | :heavy_check_mark: | |\n| [Machine Learning in Asset Management](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3420952) | nan | nan | nan | nan | :heavy_check_mark: | |\n| [Financial Event Prediction using Machine Learning](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3481555) | nan | nan | nan | nan | :heavy_check_mark: | |\n| [Machine Learning in Asset Management—Part 1: Portfolio Construction—Trading Strategies](https://jfds.pm-research.com/content/2/1/10) | nan | nan | nan | nan | :heavy_check_mark: | |" }, { "path": "generated_wiki/portfolio_selection_and_optimisation.md", "content": "| repo | comment | created_at | last_commit | star_count | repo_status | rating |\n|:--------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------|\n| [Modern Portfolio Theory](https://nbviewer.jupyter.org/github/Marigold/universal-portfolios/blob/master/modern-portfolio-theory.ipynb) | Universal portfolios; modern portfolio theory. | nan | nan | nan | :heavy_check_mark: | |\n| [Online Portfolio Selection](https://nbviewer.jupyter.org/github/paulperry/quant/blob/master/OLPS_Comparison.ipynb) | ****Comparing OLPS algorithms on a diversified set of ETFs. | nan | nan | nan | :heavy_check_mark: | |\n| [cvxportfolio](https://github.com/cvxgrp/cvxportfolio) | NEW | 2017-01-11 01:16:16 | 2024-09-27 14:09:43 | 968.0 | :heavy_check_mark: | |\n| [DeepDow](https://github.com/jankrepl/deepdow) | Portfolio optimization with deep learning. | 2020-02-02 08:46:33 | 2024-01-24 15:56:34 | 901.0 | :heavy_check_mark: | |\n| [Reinforcement Learning](https://github.com/filangel/qtrader) | Reinforcement Learning for Portfolio Management. | 2017-10-07 09:14:33 | 2018-06-26 09:22:27 | 453.0 | :heavy_multiplication_x: | |\n| [PyPortfolioOpt](https://github.com/robertmartin8/PyPortfolioOpt) | Financial portfolio optimisation, including classical efficient frontier and advanced methods. | 2018-05-29 13:30:30 | 2024-05-28 23:05:51 | 4425.0 | :heavy_check_mark: | |\n| [Distribution Characteristic Optimisation](https://github.com/VivekPa/OptimalPortfolio) | Extends classical portfolio optimisation to take the skewness and kurtosis of the distribution of market invariants into account. | 2018-11-16 12:20:25 | 2024-02-27 21:38:36 | 352.0 | :heavy_check_mark: | |\n| [Riskfolio-Lib](https://github.com/dcajasn/Riskfolio-Lib) | NEW | 2020-03-02 19:49:06 | 2024-07-29 21:51:42 | 2985.0 | :heavy_check_mark: | |\n| [riskparity.py](https://github.com/convexfi/riskparity.py) | NEW | 2019-07-13 21:30:55 | 2024-05-27 00:29:29 | 285.0 | :heavy_check_mark: | |\n| [riskparity.py](https://github.com/dppalomar/riskparity.py) | NEW | 2019-07-13 21:30:55 | 2024-05-27 00:29:29 | 285.0 | :heavy_check_mark: | |\n| [okama](https://github.com/mbk-dev/okama) | NEW | 2020-03-02 14:48:29 | 2024-07-06 13:39:25 | 205.0 | :heavy_check_mark: | |\n| [Efficient Frontier](https://github.com/tthustla/efficient_frontier/blob/master/Efficient%20_Frontier_implementation.ipynb) | Modern Portfolio Theory. | 2018-02-17 08:19:46 | 2018-02-27 13:16:57 | 184.0 | :heavy_multiplication_x: | |\n| [Policy Gradient Portfolio](https://github.com/ZhengyaoJiang/PGPortfolio) | A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem. | 2017-11-12 16:08:44 | 2021-07-30 15:03:59 | 1739.0 | :heavy_multiplication_x: | |\n| [finance-courses](https://github.com/z4ir3/finance-courses) | NEW | 2019-10-10 10:50:03 | 2023-12-11 23:09:10 | 171.0 | :heavy_check_mark: | |\n| [401K Portfolio Optimisation](https://github.com/otosman/Python-for-Finance/blob/master/Portfolio%20Optimization%20401k.ipynb) | Portfolio analyses and optimisation for 401K. | 2018-08-01 19:48:24 | 2019-09-05 11:18:56 | 17.0 | :heavy_multiplication_x: | |\n| [Deep Portfolio Theory](https://github.com/tcloaa/Deep-Portfolio-Theory) | Autoencoder framework for portfolio selection. | 2017-02-10 09:03:08 | 2018-03-08 16:47:00 | 129.0 | :heavy_multiplication_x: | |\n| [node-finance](https://github.com/albertosantini/node-finance) | NEW | 2011-09-17 17:49:56 | 2022-09-30 05:08:24 | 122.0 | :heavy_check_mark: | |\n| [portfolio-optimize](https://github.com/manujajay/portfolio-optimize) | NEW | 2024-03-10 19:40:41 | 2024-03-11 23:33:22 | 112.0 | :heavy_check_mark: | |\n| [OLMAR Algorithm](https://github.com/charlessutton/OLMAR/blob/master/Part3.ipynb) | Relative importance of each component of the OLMAR algorithm. | 2016-07-26 16:20:10 | 2016-12-30 11:40:53 | 11.0 | :heavy_multiplication_x: | |" }, { "path": "generated_wiki/reinforcement_learning.md", "content": "| repo | comment | created_at | last_commit | star_count | repo_status | rating |\n|:------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------|:-------------------------|:-------------------------|:------------------------|:------------------------------------|:--------------------|\n| [RL Trading](https://colab.research.google.com/drive/1FzLCI0AO3c7A4bp9Fi01UwXeoc7BN8sW) | A collection of 25+ Reinforcement Learning Trading Strategies -Google Colab. | nan | nan | nan | :heavy_check_mark: | |\n| [RL](https://github.com/kh-kim/stock_market_reinforcement_learning) | OpenGym with Deep Q-learning and Policy Gradient. | 10/4/16 14:42 | 12/23/16 7:34 | 713.0 | :heavy_multiplication_x: | |\n| [RL III](https://github.com/samre12/deep-trading-agent) | Github -Deep Reinforcement Learning based Trading Agent for Bitcoin. | 9/21/17 17:05 | 4/13/18 16:33 | 576.0 | :heavy_multiplication_x: | |\n| [RL V](https://github.com/gstenger98/rl-finance) | Building an Agent to Trade with Reinforcement Learning. | 1/16/19 0:43 | 3/19/20 20:28 | 32.0 | :heavy_check_mark: | |\n| [Pair Trading RL](https://github.com/shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading) | Using deep actor-critic model to learn best strategies in pair trading. | 5/18/17 16:47 | 5/18/17 16:56 | 241.0 | :heavy_multiplication_x: | |\n| [RL IV](https://github.com/jjakimoto/DQN) | Reinforcement Learning for finance. | 10/21/16 2:47 | 4/7/17 8:11 | 140.0 | :heavy_multiplication_x: | |\n| [RL II](https://github.com/deependersingla/deep_trader) | reinforcement learning on stock market and agent tries to learn trading. | 6/11/16 7:27 | 1/22/18 14:35 | 1340.0 | :heavy_multiplication_x: | |" }, { "path": "generated_wiki/textual.md", "content": "| repo | comment | created_at | last_commit | star_count | repo_status | rating |\n|:------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------|\n| [NLP](https://github.com/toamitesh/NLPinFinance) | This project assembles a lot of NLP operations needed for finance domain. | nan | nan | nan | :heavy_check_mark: | |\n| [NLP Event](https://github.com/yuriak/DLQuant) | Applying Deep Learning and NLP in Quantitative Trading. | 2018-07-02 23:50:52 | 2019-01-31 14:08:20 | 99.0 | :heavy_multiplication_x: | |\n| [Financial Sentiment Analysis](https://github.com/EricHe98/Financial-Statements-Text-Analysis) | Sentiment, distance and proportion analysis for trading signals. | 2017-06-23 00:05:49 | 2023-05-08 00:58:50 | 94.0 | :heavy_check_mark: | |\n| [Cornucopia-LLaMA-Fin-Chinese](https://github.com/jerry1993-tech/Cornucopia-LLaMA-Fin-Chinese) | NEW | 2023-04-30 06:11:18 | 2023-06-30 07:52:13 | 582.0 | :heavy_check_mark: | |\n| [awesome-financial-nlp](https://github.com/icoxfog417/awesome-financial-nlp) | NEW | 2019-10-03 03:53:20 | 2020-02-01 08:28:16 | 402.0 | :heavy_multiplication_x: | |\n| [Buzzwords](https://github.com/swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-Funds) | Return performance and mutual fund selection. | 2018-02-04 21:51:16 | 2018-02-04 21:57:09 | 4.0 | :heavy_multiplication_x: | |\n| [FinNLP-Progress](https://github.com/YangLinyi/FinNLP-Progress) | NEW | 2020-05-21 09:59:56 | 2022-04-18 09:21:22 | 390.0 | :heavy_multiplication_x: | |\n| [news-emotion](https://github.com/dongyuanxin/news-emotion) | NEW | 2017-09-14 02:59:03 | 2018-06-11 13:47:51 | 331.0 | :heavy_multiplication_x: | |\n| [financial-news-dataset](https://github.com/philipperemy/financial-news-dataset) | NEW | 2016-08-23 13:29:07 | 2023-03-09 06:53:26 | 223.0 | :heavy_check_mark: | |\n| [FinBERT](https://github.com/psnonis/FinBERT) | NEW | 2019-07-09 16:34:27 | 2020-05-19 02:02:20 | 197.0 | :heavy_multiplication_x: | |\n| [Accounting Anomalies](https://github.com/GitiHubi/deepAI/blob/master/GTC_2018_Lab-solutions.ipynb) | Using deep-learning frameworks to identify accounting anomalies. | 2017-05-24 12:36:38 | 2019-08-07 21:47:08 | 196.0 | :heavy_multiplication_x: | |\n| [fin-sight](https://github.com/vishwasg217/fin-sight) | NEW | 2023-09-06 13:01:39 | 2024-04-22 07:21:27 | 195.0 | :heavy_check_mark: | |\n| [finsight](https://github.com/vishwasg217/finsight) | NEW | 2023-09-06 13:01:39 | 2024-04-22 07:21:27 | 189.0 | :heavy_check_mark: | |\n| [Financial Statement Sentiment](https://github.com/MAydogdu/TextualAnalysis) | Extracting sentiment from financial statements using neural networks. | 2018-06-04 20:54:14 | 2018-06-04 20:56:02 | 18.0 | :heavy_multiplication_x: | |\n| [BDCI2019-Negative_Finance_Info_Judge](https://github.com/A-Rain/BDCI2019-Negative_Finance_Info_Judge) | NEW | 2019-12-27 03:49:31 | 2020-12-04 03:38:57 | 153.0 | :heavy_multiplication_x: | |\n| [ChatGPT-for-FinTech](https://github.com/AI4Finance-Foundation/ChatGPT-for-FinTech) | NEW | 2023-02-11 20:21:34 | 2024-07-18 06:34:35 | 13611.0 | :heavy_check_mark: | |\n| [Extensive NLP](https://github.com/TiesdeKok/Python_NLP_Tutorial/blob/master/NLP_Notebook.ipynb) | Comprehensive NLP techniques for accounting research. | 2017-10-25 07:10:26 | 2020-06-05 03:28:46 | 118.0 | :heavy_multiplication_x: | |\n| [Fund classification](https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb) | Fund classification using text mining and NLP. | 2018-04-16 22:18:55 | 2018-06-07 22:01:32 | 11.0 | :heavy_multiplication_x: | |\n| [Earning call transcripts](https://github.com/lin882/WebAnalyticsProject) | Correlation between mutual fund investment decision and earning call transcripts. | 2017-12-30 08:56:03 | 2018-01-11 02:11:11 | 10.0 | :heavy_multiplication_x: | |" }, { "path": "generated_wiki/unsupervised.md", "content": "| repo | comment | created_at | last_commit | star_count | repo_status | rating |\n|:-------------------------------------------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------|\n| [PCA Pairs Trading](https://github.com/joelQF/quant-finance/tree/master/Artificial_IntelIigence_for_Trading) | PCA, Factor Returns, and trading strategies. | nan | nan | nan | :heavy_check_mark: | |\n| [Eigen-Portfolio](https://github.com/Gustrigos/Eigen-Portfolio) | NEW | 2018-09-05 05:29:18 | 2020-04-09 21:40:04 | 67.0 | :heavy_multiplication_x: | |\n| [hmm_market_behavior](https://github.com/lamres/hmm_market_behavior) | NEW | 2019-09-08 17:37:39 | 2020-05-10 14:36:03 | 40.0 | :heavy_multiplication_x: | |\n| [VRA Stock Embedding](https://github.com/ml-hongkong/stock2vec) | Variational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history. | 2017-06-21 04:47:14 | 2017-06-21 04:51:13 | 38.0 | :heavy_multiplication_x: | |\n| [AnomalyDetectionOnRisk](https://github.com/SimonWesterlindVPD/AnomalyDetectionOnRisk) | NEW | 2018-05-31 15:53:02 | 2018-05-31 16:18:28 | 21.0 | :heavy_multiplication_x: | |\n| [Pairs Trading](https://github.com/marketneutral/pairs-trading-with-ML/blob/master/Pairs%2BTrading%2Bwith%2BMachine%2BLearning.ipynb) | Finding pairs with cluster analysis. | 2017-09-05 19:19:19 | 2017-09-27 20:42:14 | 203.0 | :heavy_multiplication_x: | |\n| [all-classification-templetes-for-ML](https://github.com/sayantann11/all-classification-templetes-for-ML) | NEW | 2020-05-05 10:28:52 | 2024-05-15 11:46:23 | 198.0 | :heavy_check_mark: | |\n| [Credit-Card-Fraud-Detection](https://github.com/sharmaroshan/Credit-Card-Fraud-Detection) | NEW | 2019-03-31 05:33:17 | 2019-03-31 05:38:43 | 16.0 | :heavy_multiplication_x: | |\n| [Industry Clustering](https://github.com/SeanMcOwen/FinanceAndPython.com-ClusteringIndustries) | Clustering of industries. | 2017-07-21 02:12:51 | 2017-07-23 02:53:37 | 14.0 | :heavy_multiplication_x: | |\n| [Industry Clustering](https://github.com/SeanMcOwen/FinanceAndPython.com-ClusteringIndustries) | Project to cluster industries according to financial attributes. | 2017-07-21 02:12:51 | 2017-07-23 02:53:37 | 14.0 | :heavy_multiplication_x: | |\n| [tableQA-Chinese](https://github.com/svjack/tableQA-Chinese) | NEW | 2021-03-16 14:54:53 | 2023-04-20 06:20:56 | 12.0 | :heavy_check_mark: | |\n| [Fund Clusters](https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb) | Data exploration of fund clusters. | 2018-04-16 22:18:55 | 2018-06-07 22:01:32 | 11.0 | :heavy_multiplication_x: | |\n| [Stock_Support_Resistance_ML](https://github.com/judopro/Stock_Support_Resistance_ML) | NEW | 2019-12-22 20:25:48 | 2021-05-02 04:25:21 | 100.0 | :heavy_multiplication_x: | |\n| [Learning-Technical-Trading](https://github.com/NJ-Murphy/Learning-Technical-Trading) | NEW | 2019-03-25 11:47:49 | 2020-04-08 12:39:53 | 10.0 | :heavy_multiplication_x: | |" }, { "path": "git_search.py", "content": "import datetime\nimport os\nfrom typing import Dict, List\n\nimport pandas as pd\n\nfrom conf import PROJECT_ROOT_DIR\nfrom git_status import get_repo_list\nfrom git_util import get_github_client, get_repo_attributes_dict\n\n\ndef convert_repo_list_to_df(repo_list, category):\n df_list = []\n for repo in repo_list:\n print(repo)\n attr_dict = get_repo_attributes_dict(repo)\n attr_dict['name'] = repo.name\n attr_dict['comment'] = 'NEW'\n attr_dict['category'] = category\n attr_dict['repo_path'] = repo.full_name\n attr_dict['url'] = 'https://github.com/{}'.format(repo.full_name)\n df_list.append(attr_dict)\n result_df = pd.DataFrame(df_list)\n return result_df\n\n\n# generic search functions\ndef search_repo(search_term: str, qualifier_dict: Dict):\n g = get_github_client()\n qualifier_str = ' '.join(['{}:{}'.format(k, v) for k, v in iter(qualifier_dict.items())])\n if qualifier_str != '':\n final_search_term = '{} {}'.format(search_term, qualifier_str)\n else:\n final_search_term = search_term\n repo_result = g.search_repositories(final_search_term)\n return repo_result\n\n\ndef search_repo_multiple_terms(term_list: List[str],\n category: str,\n min_stars_number: int = None,\n created_at: str = None,\n pushed_date: str = None,\n drop_duplicate: bool = True\n ):\n \"\"\"\n\n :param term_list:\n :param category:\n :param min_stars_number:\n :param created_at:\n :param pushed_date:\n :param drop_duplicate:\n :return:\n usage:\n >>> term_list = ['deep learning trading', 'deep learning finance', 'reinforcement learning trading',\n 'reinforcement learning finance']\n >>> category = 'Deep Learning And Reinforcement Learning'\n >>> min_stars_number = 100\n >>> created_at = None\n >>> pushed_date = None\n >>> drop_duplicate = True\n \"\"\"\n repo_df_list = []\n for search_term in term_list:\n repo_list = search_repo_simple(search_term, min_stars_number, created_at=created_at, pushed_date=pushed_date)\n repo_df = convert_repo_list_to_df(repo_list, category)\n repo_df_list.append(repo_df)\n combined_df = pd.concat(repo_df_list).reset_index(drop=True)\n if drop_duplicate:\n combined_df = combined_df.drop_duplicates()\n combined_df['finml_added_date'] = datetime.datetime.now()\n return combined_df\n\n\ndef search_repo_simple(search_term: str = None,\n min_stars_number: int = None,\n created_at: str = None,\n pushed_date: str = None\n ):\n \"\"\"\n\n :param search_term:\n :param min_stars_number:\n :param created_at:\n :param pushed_date:\n usage:\n >>> search_term = 'machine learning trading'\n >>> min_stars_number = 100\n >>> created_at = None\n >>> pushed_date = None\n \"\"\"\n if search_term is None:\n _search_term = ''\n else:\n _search_term = search_term\n\n qualifier_dict = {}\n if min_stars_number is not None:\n qualifier_dict['stars'] = '>={}'.format(min_stars_number)\n\n if created_at is not None:\n qualifier_dict['created'] = '>={}'.format(created_at)\n\n if pushed_date is not None:\n qualifier_dict['pushed'] = '>={}'.format(pushed_date)\n search_result = search_repo(_search_term, qualifier_dict)\n return search_result\n\n\ndef search_new_repo_by_category(category: str,\n min_stars_number: int = 100,\n existing_repo_df: pd.DataFrame = None):\n \"\"\"\n\n :param category:\n :param min_stars_number:\n :param existing_repo_df:\n :return:\n usage:\n >>> category = 'Data Processing Techniques and Transformations'\n >>> min_stars_number = 100\n >>> existing_repo_df = get_repo_list()\n \"\"\"\n print('*** searching for category [{}] ***'.format(category))\n combined_df = None\n if category == 'Deep Learning And Reinforcement Learning':\n combined_df = search_repo_multiple_terms(['deep learning trading',\n 'deep learning finance',\n 'reinforcement learning trading',\n 'reinforcement learning finance'],\n category,\n min_stars_number=min_stars_number\n )\n\n elif category == 'Other Models':\n combined_df = search_repo_multiple_terms(['machine learning trading',\n 'machine learning finance'],\n category,\n min_stars_number=min_stars_number\n )\n elif category == 'Data Processing Techniques and Transformations':\n combined_df = search_repo_multiple_terms(['data transformation trading',\n 'data transformation finance',\n 'data transformation time series',\n 'data processing trading',\n 'data processing finance',\n 'power transform trading',\n 'power transform finance',\n 'standardization normalization trading',\n 'standardization normalization finance',\n ],\n category,\n min_stars_number=int(min_stars_number * 0.5)\n )\n elif category == 'Portfolio Selection and Optimisation':\n combined_df = search_repo_multiple_terms(['portfolio optimization machine learning finance',\n 'portfolio optimization machine learning trading',\n 'portfolio construction machine learning finance',\n 'portfolio construction machine learning trading',\n 'portfolio optimization finance',\n 'portfolio optimization trading',\n 'portfolio construction finance',\n 'portfolio construction trading'\n ],\n category,\n min_stars_number=min_stars_number\n )\n elif category == 'Factor and Risk Analysis':\n combined_df = search_repo_multiple_terms(['risk factor finance',\n 'risk factor trading',\n 'risk premia factor finance',\n 'risk premia factor trading',\n 'style factor finance',\n 'style factor trading',\n 'macro factor finance',\n 'macro factor trading',\n ],\n category,\n min_stars_number=int(min_stars_number * 0.05)\n )\n elif category == 'Unsupervised':\n combined_df = search_repo_multiple_terms(['unsupervised finance',\n 'unsupervised trading'\n ],\n category,\n min_stars_number=int(min_stars_number * 0.1)\n )\n elif category == 'Textual':\n combined_df = search_repo_multiple_terms(['NLP finance',\n 'NLP trading'\n ],\n category,\n min_stars_number=min_stars_number\n )\n elif category == 'Derivatives and Hedging':\n combined_df = search_repo_multiple_terms(['derivatives finance',\n 'derivatives trading',\n 'quantlib trading',\n 'quantlib finance',\n 'hedging finance',\n 'hedging trading',\n 'option trading',\n 'option finance',\n 'delta hedge trading',\n 'delta hedge finance'\n ],\n category,\n min_stars_number=min_stars_number\n )\n elif category == 'Fixed Income':\n combined_df = search_repo_multiple_terms(['corporate bond finance',\n 'corporate bond trading',\n 'muni bond trading',\n 'muni bond finance',\n 'investment grade finance',\n 'investment grade trading',\n 'high yield trading',\n 'high yield finance',\n 'credit rating trading',\n 'credit rating finance',\n 'fixed income trading',\n 'fixed income finance',\n 'corporate bond',\n 'muni bond',\n 'credit rating'\n ],\n category,\n min_stars_number=int(min_stars_number * 0.2)\n )\n elif category == 'Alternative Finance':\n # don't include crypto here as it will skew the results, consider putting it as a seperate category\n combined_df = search_repo_multiple_terms(['private equity',\n 'venture capital',\n 'real estate trading',\n 'real estate finance',\n 'alternative asset trading',\n 'alternative asset finance',\n 'commodity trading',\n 'commodity finance',\n 'farmland finance',\n 'farmland trading'\n ],\n category,\n min_stars_number=int(min_stars_number * 0.5)\n )\n elif category == 'Extended Research':\n combined_df = search_repo_multiple_terms(['fraud detection',\n 'behavioural finance',\n 'corporate finance',\n 'financial economics',\n 'mathematical finance',\n 'liquidity finance',\n 'fx trading',\n 'company life cycle',\n 'merger and acquisition',\n 'farmland trading',\n 'HFT',\n 'high frequency trading'\n ],\n category,\n min_stars_number=int(min_stars_number * 0.5)\n )\n elif category == 'Courses':\n combined_df = search_repo_multiple_terms(['finance courses',\n 'machine learning courses',\n 'quantitative finance courses',\n 'time series courses',\n 'data science courses',\n 'financial engineering courses'\n ],\n category,\n min_stars_number=min_stars_number * 2\n )\n elif category == 'Data':\n combined_df = search_repo_multiple_terms(['financial data',\n 'time series data',\n 'company fundamental data',\n 'crypto data',\n 'earnings data',\n 'fixed income data',\n 'fx data',\n 'etf data',\n 'finance database',\n 'sec edgar',\n 'economic data',\n 'investment data',\n 'fund data',\n 'options data',\n 'financial index data',\n 'futures data',\n 'cryptocurrencies data',\n 'money market data'\n ],\n category,\n min_stars_number=min_stars_number\n )\n\n # only find ones that need to be inserted\n if combined_df is not None and not combined_df.empty and existing_repo_df is not None:\n combined_df = combined_df[\n ~combined_df['repo_path'].str.lower().isin(existing_repo_df['repo_path'].dropna().str.lower())]\n\n return combined_df\n\n\ndef search_new_repo_and_append(min_stars_number: int = 100, filter_list=None):\n \"\"\"\n\n :param min_stars_number:\n :param filter_list:\n \"\"\"\n repo_df = get_repo_list()\n category_list = repo_df['category'].unique().tolist()\n if filter_list is not None:\n category_list = [x for x in category_list if x in filter_list]\n\n new_repo_list = []\n for category in category_list:\n combined_df = search_new_repo_by_category(category, min_stars_number, repo_df)\n if combined_df is not None:\n new_repo_list.append(combined_df)\n new_repo_df = pd.concat(new_repo_list).reset_index(drop=True)\n # drop duplicate regardless of the category, keep first one for now\n new_repo_df = new_repo_df.drop_duplicates(subset='repo_path')\n\n final_df = pd.concat([repo_df, new_repo_df]).reset_index(drop=True)\n\n final_df = final_df.sort_values(by='category')\n final_df.to_csv(os.path.join(PROJECT_ROOT_DIR, 'raw_data', 'url_list.csv'), index=False)\n\n\ndef search_new_repo_by_category_per_day(min_stars_number: int = 100):\n repo_df = get_repo_list()\n category_list = repo_df['category'].unique().tolist()\n # based on today's date, pick which category to search to get around api limit\n current_date = datetime.datetime.today()\n n_category = len(category_list)\n days_in_week = 7\n if n_category % days_in_week == 0:\n n_repo_to_process_per_day = int(n_category / days_in_week)\n else:\n n_repo_to_process_per_day = int(n_category / days_in_week) + 1\n today_selection = current_date.weekday()\n repo_to_process = category_list[\n today_selection * n_repo_to_process_per_day:(today_selection + 1) * n_repo_to_process_per_day]\n\n search_new_repo_and_append(min_stars_number=min_stars_number, filter_list=repo_to_process)\n\n\nif __name__ == '__main__':\n search_new_repo_by_category_per_day(min_stars_number=100)\n" }, { "path": "git_status.py", "content": "import os\nfrom conf import PROJECT_ROOT_DIR\nimport re\nimport pandas as pd\n\nfrom git_util import get_repo_attributes_dict, get_github_client, get_repo_path\n\n\ndef get_repo_list():\n repo_df = pd.read_csv(os.path.join(PROJECT_ROOT_DIR, 'raw_data', 'url_list.csv'))\n if 'repo_path' not in repo_df.columns:\n repo_df['repo_path'] = repo_df['url'].apply(get_repo_path)\n return repo_df\n\n\ndef get_repo_status():\n g = get_github_client()\n repo_df = get_repo_list()\n for idx, row in repo_df.iterrows():\n repo_path = row['repo_path']\n if not pd.isna(repo_path):\n try:\n print('processing [{}]'.format(repo_path))\n repo = g.get_repo(repo_path)\n\n repo_attr_dict = get_repo_attributes_dict(repo)\n except Exception as ex:\n print(ex)\n repo_attr_dict = {}\n\n for k, v in iter(repo_attr_dict.items()):\n repo_df.loc[idx, k] = v\n repo_df.to_csv(os.path.join(PROJECT_ROOT_DIR, 'raw_data', 'url_list.csv'), index=False)\n\n\n@DeprecationWarning\ndef parse_readme_md():\n \"\"\"\n\n :return:\n usage:\n >>> df = parse_readme_md()\n >>> df.to_csv(os.path.join(PROJECT_ROOT_DIR, 'raw_data', 'url_list.csv'), index=False)\n \"\"\"\n file_path = os.path.join(PROJECT_ROOT_DIR, 'README.md')\n with open(file_path) as f:\n lines = f.readlines()[11:] # skip heading\n all_df_list = []\n for line_num in range(len(lines)):\n line = lines[line_num]\n if line.strip().startswith('#'):\n # find a heading\n heading = line.strip().replace('#', '').replace('\\n', '').strip()\n # parse until next # or eof\n parsed_list = []\n line_num += 1\n while line_num < len(lines) and not lines[line_num].strip().startswith('#'):\n link_line = lines[line_num].replace('\\n', '').strip()\n if len(link_line) > 0:\n # usually in the format of '- [NAME](link) - comment\n split_sections = link_line.split('- ')\n if len(split_sections) == 2:\n comment_str = None\n elif len(split_sections) >= 3:\n comment_str = '-'.join(split_sections[2:]).strip()\n else:\n raise Exception('link_line [{}] not supported'.format(link_line))\n\n title_and_link = split_sections[1].strip()\n title = re.search(r'\\[(.*?)\\]', title_and_link)\n title_str = None\n if title is not None:\n title_str = title.group(1)\n title_and_link = title_and_link.replace('[{}]'.format(title_str), '')\n m_link = re.search(r'\\((.*?)\\)', title_and_link)\n link_str = None\n if m_link is not None:\n link_str = m_link.group(1)\n parsed_set = (title_str, link_str, comment_str)\n parsed_list.append(parsed_set)\n line_num += 1\n parsed_df = pd.DataFrame(parsed_list, columns=['name', 'url', 'comment'])\n parsed_df['category'] = heading\n all_df_list.append(parsed_df)\n final_df = pd.concat(all_df_list).reset_index(drop=True)\n return final_df\n\n\nif __name__ == '__main__':\n get_repo_status()\n" }, { "path": "git_util.py", "content": "from github import Github, Repository, GithubException\nimport os\nimport datetime\n\n\ndef get_github_client():\n # search for app_client and client secrets first, since this allow higher api request limit\n github_app = os.environ.get('GIT_APP_ID')\n if github_app is None:\n github_token = os.environ.get('GIT_TOKEN')\n g = Github(github_token)\n else:\n github_app_secret = os.environ.get('GIT_APP_SECRET')\n g = Github(\n client_id=github_app,\n client_secret=github_app_secret)\n return g\n\n\n# *******\n# repo specific information\n# *******\ndef get_repo_path(in_url):\n repo_path = None\n if 'https://github.com/' in in_url:\n url_query = in_url.replace('https://github.com/', '')\n repo_path = '/'.join(url_query.split('/')[:2])\n return repo_path\n\n\ndef get_last_commit_date(input_repo: Repository):\n \"\"\"\n get latest commit from repo\n :param input_repo:\n :return:\n \"\"\"\n page = input_repo.get_commits().get_page(0)[0]\n return page.commit.author.date\n\n\ndef get_repo_attributes_dict(input_repo: Repository, last_commit_within_years: int = 2):\n result_dict = {}\n try:\n result_dict = {\n 'repo_path': input_repo.full_name,\n 'created_at': input_repo.created_at,\n 'last_commit': get_last_commit_date(input_repo),\n 'last_update': input_repo.updated_at,\n 'star_count': input_repo.stargazers_count,\n 'fork_count': input_repo.forks_count,\n 'contributors_count': input_repo.get_contributors().totalCount\n\n }\n today = datetime.datetime.today()\n check_start_date = datetime.datetime(today.year - last_commit_within_years,\n today.month,\n today.day)\n\n if result_dict['last_commit'] >= check_start_date:\n repo_status = 'active'\n else:\n repo_status = 'inactive'\n result_dict['repo_status'] = repo_status\n except Exception as e:\n print(e)\n\n return result_dict\n" }, { "path": "raw_data/__init__.py", "content": "" }, { "path": "raw_data/process.drawio", "content": "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" }, { "path": "raw_data/url_list.csv", "content": "name,url,comment,category,last_update,star_count,fork_count,contributors_count,created_at,last_commit,repo_path,repo_status,rating,finml_added_date\nVenture Capital NN,https://github.com/tr7200/National-Culture-and-Venture-Capital-Monitoring,Cox-PH neural network predictions for VC/innovations finance research.,Alternative Finance,,,,,,,tr7200/National-Culture-and-Venture-Capital-Monitoring,,,\nEDMarketConnector,https://github.com/EDCD/EDMarketConnector,NEW,Alternative Finance,2024-12-23 03:05:46,1006.0,157.0,33.0,2015-06-02 19:17:34,2024-10-02 23:49:46,EDCD/EDMarketConnector,active,,2021-04-19 01:24:52.219323\npitch-deck,https://github.com/joelparkerhenderson/pitch-deck,NEW,Alternative Finance,2024-12-14 11:44:41,352.0,73.0,3.0,2016-09-17 01:30:26,2024-05-16 16:23:12,joelparkerhenderson/pitch-deck,active,,2021-05-24 02:12:13.615391\nyahoofinancials,https://github.com/JECSand/yahoofinancials,NEW,Alternative Finance,2024-12-27 04:08:17,919.0,221.0,6.0,2017-10-22 03:10:57,2023-12-17 07:54:07,JECSand/yahoofinancials,active,,2021-04-19 01:24:52.219323\nArt Valuation,https://github.com/ahmedhosny/theGreenCanvas/blob/gh-pages/ImageProcessing1210.ipynb,Art evaluation analytics.,Alternative Finance,2024-12-18 16:37:45,20.0,7.0,1.0,2014-12-11 00:25:39,2014-12-12 21:25:46,ahmedhosny/theGreenCanvas,inactive,,\nKiva Crowdfunding,https://github.com/CJL89/Kiva-Crowdfunding/blob/master/Kiva%20Crowdfunding.ipynb,Exploratory data analysis.,Alternative Finance,2024-06-18 19:26:37,7.0,2.0,1.0,2018-02-27 16:46:02,2019-02-13 00:15:27,CJL89/Kiva-Crowdfunding,inactive,,\nbotupdate,https://github.com/botupdate/botupdate,NEW,Alternative Finance,2021-07-31 23:16:04,582.0,210.0,5.0,2019-07-01 20:22:44,2020-10-29 02:31:17,botupdate/botupdate,active,,2021-04-19 01:24:52.219323\npitch_deck,https://github.com/joelparkerhenderson/pitch_deck,NEW,Alternative Finance,2024-12-14 11:44:41,352.0,73.0,3.0,2016-09-17 01:30:26,2024-05-16 16:23:12,joelparkerhenderson/pitch-deck,active,,2021-04-19 01:24:52.219323\nVenture Capital,https://github.com/julian-chan/etothex,Insight into a new founder to make data-driven investment decisions.,Alternative Finance,2024-09-30 18:07:59,8.0,3.0,1.0,2017-12-04 08:59:44,2017-12-13 05:35:27,julian-chan/etothex,inactive,,\nrealtime-forex-crypto-stock-tick-finance-websocket-api,https://github.com/alltick/realtime-forex-crypto-stock-tick-finance-websocket-api,NEW,Alternative Finance,2024-12-28 11:09:40,218.0,37.0,3.0,2024-03-14 06:07:55,2024-12-26 02:04:48,alltick/alltick-realtime-forex-crypto-stock-tick-finance-websocket-api,active,,2024-05-20 01:25:20.676454\ncot_reports,https://github.com/NDelventhal/cot_reports,NEW,Alternative Finance,2024-12-22 17:16:53,136.0,34.0,2.0,2020-11-16 19:16:18,2023-12-29 23:14:53,NDelventhal/cot_reports,active,,2023-05-08 01:58:28.195795\nWatch Valuation,https://github.com/alporter08/Luxury-Watch-Valuation/blob/master/Luxury-Watch-Valuation.ipynb,Analysis of luxury watch data to classify whether a certain model is likely to be over-or undervalued.,Alternative Finance,2024-04-28 02:27:24,9.0,3.0,1.0,2017-02-08 18:39:29,2017-04-27 22:55:55,alporter08/Luxury-Watch-Valuation,inactive,,\nnotebooks,https://github.com/tradingeconomics/notebooks,NEW,Alternative Finance,2024-12-11 07:06:17,111.0,42.0,13.0,2020-11-13 13:39:37,2023-07-20 12:27:16,tradingeconomics/notebooks,active,,2022-08-29 03:28:03.832043\nVC OLS,https://github.com/fionawhitefield/venture-capital-ols/blob/master/sec_project.ipynb,VC regression.,Alternative Finance,2024-04-28 02:27:48,4.0,3.0,1.0,2018-03-29 23:31:13,2018-03-29 23:33:19,fionawhitefield/venture-capital-ols,inactive,,\nVisualizing-Global-Trade-Networks,https://github.com/lomska/Visualizing-Global-Trade-Networks,NEW,Alternative Finance,2024-12-27 05:26:02,51.0,8.0,1.0,2023-10-16 11:59:14,2024-02-05 12:44:10,lomska/Visualizing-Global-Trade-Networks,active,,2024-12-23 01:27:50.344686\nawesome-systematic-trading,https://github.com/edarchimbaud/awesome-systematic-trading,NEW,Alternative Finance,2024-12-28 20:26:55,4350.0,680.0,6.0,2022-02-05 20:48:52,2024-11-06 09:22:10,paperswithbacktest/awesome-systematic-trading,active,,2022-08-29 03:28:03.832043\nHomeHarvest,https://github.com/ZacharyHampton/HomeHarvest,NEW,Alternative Finance,2024-12-27 22:04:04,361.0,80.0,5.0,2023-09-15 19:29:01,2024-11-06 05:55:59,Bunsly/HomeHarvest,active,,2023-10-02 01:41:12.683887\nPrivate Equity,https://github.com/TheVinhLuong102/ChicagoBooth-EntrepreneurialFinancePrivateEquity/blob/master/RightNow%20Technologies/RightNow%20Technologies.ipynb,Valuation models.,Alternative Finance,2024-11-26 21:23:33,23.0,8.0,2.0,2016-01-27 21:13:33,2016-03-14 20:03:52,TheVinhLuong102/ChicagoBooth-EntrepreneurialFinancePrivateEquity,inactive,,\nBlockchain,https://github.com/nud3l/dInvest,Repository for distributed autonomous investment banking.,Alternative Finance,2024-04-28 02:28:11,18.0,10.0,2.0,2016-09-05 19:12:40,2017-04-24 10:48:56,nud3l/dInvest,inactive,,\nOxford Man,https://www.oxford-man.ox.ac.uk/,Oxford-Man Institute of Quantitative Finance,Colleges Centers and Departments,,,,,,,,,,\nBerkeley Lab CIFT,https://cs.lbl.gov/news-media/news/news-archive/2010/berkeley-lab-launches-new-center-for-innovative-financial-technology/,,Colleges Centers and Departments,,,,,,,,,,\nNYU FRE,https://engineering.nyu.edu/academics/departments/finance-and-risk-engineering,Finance and Risk Engineering (NYU Tandon),Colleges Centers and Departments,,,,,,,,,,\nCornell University,https://www.cornell.edu/,,Colleges Centers and Departments,,,,,,,,,,\nStanford Advanced Financial Technologies,https://fintech.stanford.edu/,Stanford Advanced Financial Technologies Laboratory,Colleges Centers and Departments,,,,,,,,,,\nNYU Courant,https://cims.nyu.edu/,\"Courant Institute of Mathematical Sciences, New York University\",Colleges Centers and Departments,,,,,,,,,,\nhome,https://github.com/gege-circle/home,NEW,Courses,2024-12-28 16:29:00,1291.0,151.0,1.0,2020-09-20 04:47:25,2024-08-15 10:36:10,gege-circle/home,active,,2022-03-28 02:25:39.688484\nMTH594_MachineLearning,https://github.com/diefimov/MTH594_MachineLearning,NEW,Courses,2024-12-19 11:30:21,381.0,139.0,1.0,2016-03-09 07:35:19,2017-03-31 21:46:26,diefimov/MTH594_MachineLearning,inactive,,2021-04-19 01:25:20.750834\nRisk Management,https://github.com/andrey-lukyanov/Risk-Management,Finance risk engagement course resources.,Courses,2024-02-04 17:18:57,13.0,7.0,3.0,2018-10-03 16:26:14,2018-12-13 08:04:15,andrey-lukyanov/Risk-Management,inactive,,\nPythonDataScienceFullThrottle,https://github.com/pdeitel/PythonDataScienceFullThrottle,NEW,Courses,2024-12-27 09:09:04,262.0,224.0,2.0,2019-07-18 15:53:01,2024-12-09 16:11:47,pdeitel/PythonDataScienceFullThrottle,active,,2022-10-03 02:55:24.640387\nchina-dictatorship,https://github.com/cirosantilli/china-dictatorship,NEW,Courses,2024-12-28 11:37:08,2156.0,245.0,5.0,2015-04-02 20:51:50,2022-08-03 17:01:25,cirosantilli/china-dictatorship,inactive,,2021-04-19 01:25:20.750834\nTeachingDataScience,https://github.com/yogeshhk/TeachingDataScience,NEW,Courses,2024-12-27 05:05:26,265.0,135.0,2.0,2019-04-13 23:43:45,2024-12-27 05:05:12,yogeshhk/TeachingDataScience,active,,2024-04-29 01:24:41.324923\nML_Algorithms_Course,https://github.com/PlayingNumbers/ML_Algorithms_Course,NEW,Courses,2024-12-23 12:32:41,214.0,85.0,2.0,2022-06-30 22:05:58,2023-06-21 18:39:34,PlayingNumbers/ML_Algorithms_Course,active,,2024-11-25 01:29:13.861484\nMLND,https://github.com/mtyylx/MLND,NEW,Courses,2024-10-22 08:01:21,201.0,107.0,2.0,2017-05-07 15:05:10,2018-04-01 15:58:24,mtyylx/MLND,inactive,,2024-08-05 01:28:10.525794\ndatascience-box,https://github.com/rstudio-education/datascience-box,NEW,Courses,2024-12-24 18:23:06,970.0,434.0,19.0,2017-12-29 22:16:17,2024-08-15 22:45:51,tidyverse/datascience-box,active,,2021-04-19 01:25:20.750834\nml-mipt,https://github.com/girafe-ai/ml-mipt,NEW,Courses,2024-04-28 02:32:57,9.0,1.0,1.0,2022-09-01 16:16:05,2022-09-02 08:44:48,girafe-ai/ml-mipt,inactive,,2021-04-19 01:25:20.750834\nmachine-learning-coursera-1,https://github.com/Borye/machine-learning-coursera-1,NEW,Courses,2024-11-26 07:01:30,1125.0,906.0,1.0,2014-08-28 10:48:18,2014-06-17 10:37:27,Borye/machine-learning-coursera-1,inactive,,2021-04-19 01:25:20.750834\nml-course,https://github.com/girafe-ai/ml-course,NEW,Courses,2024-12-28 09:03:48,2371.0,1119.0,6.0,2019-02-01 16:20:39,2024-08-24 16:37:56,girafe-ai/ml-course,active,,2022-09-05 03:33:35.424895\nDAT4,https://github.com/justmarkham/DAT4,NEW,Courses,2024-11-27 13:50:44,797.0,666.0,3.0,2014-12-10 19:38:29,2021-02-15 23:26:27,justmarkham/DAT4,inactive,,2021-04-19 01:25:20.750834\nDAT8,https://github.com/justmarkham/DAT8,NEW,Courses,2024-12-27 08:48:45,1607.0,1066.0,1.0,2015-08-07 03:35:51,2016-04-18 18:34:09,justmarkham/DAT8,inactive,,2021-04-19 01:25:20.750834\nStanford-Machine-Learning-Course,https://github.com/zhouxc/Stanford-Machine-Learning-Course,NEW,Courses,2024-12-20 20:44:10,528.0,354.0,1.0,2011-12-25 10:00:48,2011-12-25 10:01:12,zhouxc/Stanford-Machine-Learning-Course,inactive,,2021-04-19 01:25:20.750834\nstanford-cs231,https://github.com/machinelearningnanodegree/stanford-cs231,NEW,Courses,2024-10-14 19:35:27,259.0,119.0,4.0,2016-09-05 01:40:41,2017-02-03 16:46:46,machinelearningnanodegree/stanford-cs231,inactive,,2021-04-19 01:25:20.750834\nMathematical Finance,https://github.com/yadongli/nyumath2048,NYU Math-GA 2048: Scientific Computing in Finance.,Courses,2024-11-25 10:51:02,105.0,82.0,6.0,2015-01-25 21:10:37,2020-03-25 04:24:25,yadongli/nyumath2048,inactive,,\nfeature-engineering-for-machine-learning,https://github.com/solegalli/feature-engineering-for-machine-learning,NEW,Courses,2024-12-03 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01:25:20.750834\nmlcourse,https://github.com/davidrosenberg/mlcourse,NEW,Courses,2024-12-22 01:37:57,570.0,267.0,9.0,2015-10-11 22:18:25,2023-11-02 21:29:07,davidrosenberg/mlcourse,active,,2021-04-19 01:25:20.750834\npython-seminar,https://github.com/profjsb/python-seminar,NEW,Courses,2024-12-09 11:37:58,330.0,159.0,12.0,2012-08-23 03:30:01,2022-04-25 22:56:48,profjsb/python-seminar,inactive,,2021-04-19 01:25:20.750834\nTradingView-neural-networks-Learning,https://github.com/darkness337/TradingView-neural-networks-Learning,NEW,Courses,2024-02-25 13:03:25,405.0,0.0,1.0,2024-02-22 17:17:37,2024-02-24 16:57:13,darkness337/TradingView-neural-networks-Learning,active,,2024-02-26 01:40:35.527274\ndatasci_course_materials,https://github.com/uwescience/datasci_course_materials,NEW,Courses,2024-12-06 21:56:26,918.0,2374.0,6.0,2013-04-12 05:54:36,2017-03-21 19:21:02,uwescience/datasci_course_materials,inactive,,2021-04-19 01:25:20.750834\ncoursera-deep-learning-specialization,https://github.com/amanchadha/coursera-deep-learning-specialization,NEW,Courses,2024-12-28 22:03:29,3259.0,2334.0,10.0,2020-06-24 05:59:01,2024-12-26 23:25:15,amanchadha/coursera-deep-learning-specialization,active,,2021-04-19 01:25:20.750834\nML Specialisation,https://github.com/Ahmed0028/Machine-Learning-and-Reinforcement-Learning-in-Finance-Specialization,Machine Learning in Finance.,Courses,2024-12-05 08:11:28,71.0,53.0,1.0,2019-01-24 02:55:01,2020-01-03 21:54:16,Ahmed0028/Machine-Learning-and-Reinforcement-Learning-in-Finance-Specialization,inactive,,\nmatrixcalc,https://github.com/mitmath/matrixcalc,NEW,Courses,2024-12-28 05:59:10,327.0,45.0,6.0,2022-01-04 15:39:28,2024-10-05 15:31:23,mitmath/matrixcalc,active,,2023-12-25 01:45:24.865766\nBasic Derivatives,https://github.com/SeanMcOwen/FinanceAndPython.com-Derivatives,Basic forward contracts and hedging.,Courses,2021-03-31 02:08:39,4.0,4.0,1.0,2017-08-24 00:11:37,2017-10-13 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Investments,https://github.com/SeanMcOwen/FinanceAndPython.com-Investments,Basic investment tools in python.,Courses,2023-11-11 00:12:20,17.0,8.0,1.0,2017-08-02 21:52:19,2017-08-17 03:24:53,FinanceAndPython/FinanceAndPython.com-Investments,inactive,,\nciml,https://github.com/hal3/ciml,NEW,Courses,2024-12-22 19:47:32,895.0,244.0,2.0,2015-08-12 19:26:00,2017-01-20 16:24:19,hal3/ciml,inactive,,2021-04-19 01:25:20.750834\n365datascience,https://github.com/UsmanNiazi/365datascience,NEW,Courses,2024-12-25 11:53:21,254.0,120.0,1.0,2020-04-12 12:01:18,2020-11-01 07:39:21,UsmanNiazi/365datascience,inactive,,2023-09-11 01:41:18.728613\nMachine Learning for Trading,https://github.com/stefan-jansen/machine-learning-for-trading,\"Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading.\",Courses,2024-12-28 17:48:25,13701.0,4300.0,14.0,2018-05-09 12:33:08,2023-03-05 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23:46:44,susilvaalmeida/machine-learning-andrew-ng,inactive,,2024-03-25 01:41:33.663273\nmachine-learning-course,https://github.com/instillai/machine-learning-course,NEW,Courses,2024-12-27 12:50:59,7030.0,1260.0,8.0,2019-02-15 00:23:19,2024-11-27 03:47:56,instillai/machine-learning-course,active,,2021-04-19 01:25:20.750834\n2014,https://github.com/cs109/2014,NEW,Courses,2024-10-30 21:01:00,317.0,728.0,4.0,2014-07-21 22:46:20,2014-12-17 14:37:02,cs109/2014,inactive,,2021-04-19 01:25:20.750834\nmachine-learning-coursera,https://github.com/yhyap/machine-learning-coursera,NEW,Courses,2024-11-27 18:32:26,225.0,186.0,1.0,2013-05-03 09:41:53,2013-05-05 11:58:38,yhyap/machine-learning-coursera,inactive,,2021-04-19 01:25:20.750834\nBasic Finance,https://github.com/SeanMcOwen/FinanceAndPython.com-BasicFinance,Source code notebooks basic finance applications.,Courses,2024-05-09 06:44:49,13.0,10.0,1.0,2017-05-06 02:39:05,2017-06-21 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03:24:23,ZhouYuxuanYX/Unsupervised-Deep-Learning-Framework-for-Anomaly-Detection-in-Time-Series-,inactive,,2023-06-13 02:10:49.173973\nawesome-data,https://github.com/akfamily/awesome-data,NEW,Data,2024-12-28 03:31:43,461.0,53.0,1.0,2020-03-02 18:24:03,2024-09-27 14:01:38,akfamily/awesome-data,active,,2022-05-31 02:53:34.148741\nFRB,https://github.com/avelkoski/FRB,NEW,Data,2024-12-22 11:59:06,167.0,41.0,3.0,2016-01-10 15:55:11,2018-12-22 18:21:16,avelkoski/FRB,inactive,,2022-08-16 03:10:26.448957\nScraXBRL,https://github.com/tooksoi/ScraXBRL,NEW,Data,2024-12-10 03:41:55,288.0,90.0,1.0,2016-03-06 15:20:23,2017-01-18 23:54:44,tooksoi/ScraXBRL,inactive,,2021-11-09 01:47:51.283394\nbinance-public-data,https://github.com/binance/binance-public-data,NEW,Data,2024-12-28 19:00:28,1618.0,491.0,23.0,2020-08-24 05:01:15,2024-08-02 09:33:11,binance/binance-public-data,active,,2024-10-15 01:31:00.714540\narbitragerepair,https://github.com/vicaws/arbitragerepair,NEW,Data,2024-12-22 17:46:01,114.0,25.0,1.0,2020-08-19 17:04:12,2024-01-10 13:24:38,vicaws/arbitragerepair,active,,2024-02-20 01:39:37.489180\nPython-Fundamentals-Legacy,https://github.com/dlab-berkeley/Python-Fundamentals-Legacy,NEW,Data,2024-06-25 04:21:25,168.0,112.0,12.0,2016-08-08 01:25:20,2023-01-06 22:30:42,dlab-berkeley/Python-Fundamentals-Legacy,active,,2023-07-11 02:18:07.537967\nSwiftDataTables,https://github.com/pavankataria/SwiftDataTables,NEW,Data,2024-11-12 07:23:39,448.0,70.0,6.0,2017-03-09 12:13:55,2022-02-20 20:00:32,pavankataria/SwiftDataTables,inactive,,2021-11-09 01:47:51.283394\ncryptonice,https://github.com/F5-Labs/cryptonice,NEW,Data,2024-10-20 12:18:53,101.0,25.0,4.0,2020-06-15 15:58:51,2021-08-04 17:27:08,F5-Labs/cryptonice,inactive,,2024-08-20 01:29:22.120538\nRedisTimeSeries,https://github.com/RedisTimeSeries/RedisTimeSeries,NEW,Data,2024-12-26 14:44:09,1025.0,145.0,60.0,2018-01-08 09:55:32,2024-12-26 14:06:40,RedisTimeSeries/RedisTimeSeries,active,,2021-11-09 01:47:51.283394\nSFA,https://github.com/patrickzib/SFA,NEW,Data,2024-12-03 20:07:48,312.0,67.0,5.0,2016-02-22 14:32:19,2022-03-16 08:24:06,patrickzib/SFA,inactive,,2021-11-09 01:47:51.283394\nIndicators,https://github.com/debut-js/Indicators,NEW,Data,2024-12-16 18:25:47,384.0,56.0,12.0,2020-06-23 08:21:31,2024-11-03 10:11:35,coin-unknown/Indicators,active,,2022-04-19 02:52:11.082245\njava-fundamentals-exercises,https://github.com/bobocode-projects/java-fundamentals-exercises,NEW,Data,2024-12-24 20:30:39,397.0,465.0,17.0,2020-12-25 14:19:10,2024-06-20 08:55:00,bobocode-projects/java-fundamentals-exercises,active,,2022-06-28 03:03:25.630786\nTime-Series-Analysis,https://github.com/ritvikmath/Time-Series-Analysis,NEW,Data,2024-12-26 00:33:34,685.0,676.0,1.0,2020-03-20 02:30:13,2020-10-07 15:34:46,ritvikmath/Time-Series-Analysis,inactive,,2021-11-09 01:47:51.283394\ndeep-quant,https://github.com/euclidjda/deep-quant,NEW,Data,2024-11-09 15:08:20,140.0,56.0,5.0,2017-09-18 20:37:13,2019-07-23 19:59:28,euclidjda/deep-quant,inactive,,2021-11-09 01:47:51.283394\nGAN-RNN_Timeseries-imputation,https://github.com/IvanBongiorni/GAN-RNN_Timeseries-imputation,NEW,Data,2024-12-18 02:05:49,170.0,27.0,1.0,2020-03-27 17:10:10,2022-10-29 09:57:50,IvanBongiorni/GAN-RNN_Timeseries-imputation,inactive,,2022-03-15 02:10:08.371859\nCryptoApp,https://github.com/iampawan/CryptoApp,NEW,Data,2024-12-15 15:26:24,317.0,121.0,4.0,2018-03-10 11:34:46,2019-05-25 03:16:23,iampawan/CryptoApp,inactive,,2021-11-09 01:47:51.283394\nSDV,https://github.com/sdv-dev/SDV,NEW,Data,2024-12-28 19:52:15,2430.0,321.0,26.0,2018-05-11 15:56:50,2024-12-17 22:56:51,sdv-dev/SDV,active,,2021-11-09 01:47:51.283394\nmiddle-out,https://github.com/schizofreny/middle-out,NEW,Data,2024-12-22 10:40:46,207.0,29.0,2.0,2017-11-20 17:09:11,2018-07-24 09:43:51,schizofreny/middle-out,inactive,,2021-11-09 01:47:51.283394\nCurve,https://github.com/baidu/Curve,NEW,Data,2024-12-17 13:10:45,532.0,134.0,4.0,2017-10-23 04:07:19,2020-12-24 08:19:37,baidu/Curve,inactive,,2021-11-09 01:47:51.283394\nautogluon,https://github.com/awslabs/autogluon,NEW,Data,2024-12-28 17:14:59,8211.0,937.0,120.0,2019-07-29 18:51:24,2024-12-19 19:28:10,autogluon/autogluon,active,,2022-11-22 02:44:41.182436\ntime-series-forecasting-pytorch,https://github.com/jinglescode/time-series-forecasting-pytorch,NEW,Data,2024-12-28 15:25:22,258.0,96.0,2.0,2021-04-29 09:57:29,2021-05-13 05:58:40,jinglescode/time-series-forecasting-pytorch,inactive,,2023-02-21 02:17:47.655677\nhanzo.js,https://github.com/hanzoai/hanzo.js,NEW,Data,2024-10-27 20:49:05,133.0,4.0,5.0,2015-03-23 00:56:44,2019-11-07 01:06:14,hanzoai/hanzo.js,inactive,,2021-11-09 01:47:51.283394\ncommunity-templates,https://github.com/influxdata/community-templates,NEW,Data,2024-12-21 07:35:15,350.0,158.0,49.0,2020-01-14 19:27:53,2023-06-15 17:29:15,influxdata/community-templates,active,,2021-11-09 01:47:51.283394\nIRS,http://social-metrics.org/sox/,,Data,,,,,,,,,,\ngood-morning,https://github.com/petercerno/good-morning,NEW,Data,2024-11-26 21:21:43,190.0,83.0,2.0,2014-11-07 16:18:13,2017-08-31 14:52:06,petercerno/good-morning,inactive,,2021-11-09 01:47:51.283394\nPython-NSE-Option-Chain-Analyzer,https://github.com/VarunS2002/Python-NSE-Option-Chain-Analyzer,NEW,Data,2024-12-26 07:03:06,424.0,217.0,3.0,2020-06-20 14:49:19,2024-10-16 12:31:29,VarunS2002/Python-NSE-Option-Chain-Analyzer,active,,2021-11-09 01:47:51.283394\nmoonstream,https://github.com/bugout-dev/moonstream,NEW,Data,2024-12-18 14:51:23,143.0,49.0,11.0,2021-07-01 23:01:21,2024-12-18 14:51:18,moonstream-to/api,active,,2022-09-27 03:26:35.084200\npublic-datasets,https://github.com/blockchain-etl/public-datasets,NEW,Data,2024-12-17 17:44:18,225.0,21.0,5.0,2020-07-22 13:11:41,2024-06-26 16:30:14,blockchain-etl/public-datasets,active,,2022-11-15 02:44:55.016420\ntslearn,https://github.com/tslearn-team/tslearn,NEW,Data,2024-12-27 09:14:49,2928.0,345.0,35.0,2017-05-04 13:08:13,2024-07-01 04:53:53,tslearn-team/tslearn,active,,2021-11-09 01:47:51.283394\nCryptocurrency-Analysis-Python,https://github.com/triestpa/Cryptocurrency-Analysis-Python,NEW,Data,2024-12-13 04:19:52,364.0,112.0,1.0,2017-08-13 06:33:34,2017-12-30 01:48:03,triestpa/Cryptocurrency-Analysis-Python,inactive,,2021-11-09 01:47:51.283394\nkairos,https://github.com/agoragames/kairos,NEW,Data,2024-11-28 16:29:57,206.0,38.0,6.0,2012-04-11 19:24:08,2017-02-03 19:52:38,agoragames/kairos,inactive,,2021-11-09 01:47:51.283394\nDataFrame,https://github.com/hosseinmoein/DataFrame,NEW,Data,2024-12-26 14:53:55,2557.0,317.0,21.0,2017-10-28 17:25:45,2024-12-26 14:53:44,hosseinmoein/DataFrame,active,,2021-11-09 01:47:51.283394\ncandlestick_retriever,https://github.com/gosuto-ai/candlestick_retriever,NEW,Data,2024-11-27 05:43:23,159.0,46.0,2.0,2020-02-12 19:38:09,2021-01-19 11:57:40,onchainification/candlestick_retriever,inactive,,2021-12-21 01:58:14.409860\nluminaire,https://github.com/zillow/luminaire,NEW,Data,2024-12-18 04:11:25,767.0,59.0,9.0,2020-07-08 19:22:50,2024-01-31 19:05:51,zillow/luminaire,active,,2021-11-09 01:47:51.283394\nAwesome_Imputation,https://github.com/WenjieDu/Awesome_Imputation,NEW,Data,2024-12-28 13:17:55,240.0,31.0,6.0,2023-12-12 15:27:15,2024-06-22 16:50:47,WenjieDu/Awesome_Imputation,active,,2024-06-18 01:29:42.523835\nmsda,https://github.com/ajayarunachalam/msda,NEW,Data,2024-12-20 07:56:42,129.0,31.0,1.0,2021-02-03 17:18:35,2021-10-07 13:13:47,ajayarunachalam/msda,inactive,,2023-09-26 01:42:49.590619\nFinancial-data-collection-from-web-,https://github.com/herrkun/Financial-data-collection-from-web-,NEW,Data,2024-11-26 13:19:54,120.0,81.0,1.0,2019-04-30 08:15:08,2019-04-30 11:23:19,herrkun/Financial-data-collection-from-web-,inactive,,2022-09-20 03:35:21.169094\nfinancial_evaluation_dataset,https://github.com/alipay/financial_evaluation_dataset,NEW,Data,2024-12-26 08:24:57,176.0,16.0,4.0,2023-09-05 09:18:24,2023-12-25 04:23:05,alipay/financial_evaluation_dataset,active,,2024-04-02 01:44:48.706579\nAdaTime,https://github.com/emadeldeen24/AdaTime,NEW,Data,2024-12-26 08:40:05,189.0,22.0,2.0,2022-03-17 01:22:42,2023-06-07 13:04:27,emadeldeen24/AdaTime,active,,2023-08-29 01:41:53.747047\nWeb Scraping (FirmAI),https://github.com/firmai/business-machine-learning/blob/master/www.firmai.org/data,,Data,2024-12-22 18:55:40,774.0,226.0,2.0,2019-02-19 19:02:59,2024-10-04 12:57:02,firmai/business-machine-learning,active,,\nfinancial-data,https://github.com/FutureSharks/financial-data,NEW,Data,2024-11-28 14:21:48,105.0,29.0,1.0,2018-04-18 13:40:29,2020-05-28 08:29:46,FutureSharks/financial-data,inactive,,2024-11-12 01:31:31.650810\nethereum-etl-airflow,https://github.com/blockchain-etl/ethereum-etl-airflow,NEW,Data,2024-12-27 04:18:03,409.0,194.0,94.0,2018-08-21 17:01:21,2024-12-27 04:17:58,blockchain-etl/ethereum-etl-airflow,active,,2022-10-18 03:35:48.817911\nClymene,https://github.com/Clymene-project/Clymene,NEW,Data,2024-11-11 02:32:25,132.0,21.0,2.0,2021-04-26 04:20:44,2024-10-23 01:48:49,Clymene-project/Clymene,active,,2022-09-27 03:26:35.084200\nSchedulis,https://github.com/WeBankFinTech/Schedulis,NEW,Data,2024-12-18 06:45:39,389.0,147.0,1.0,2020-05-07 06:37:09,2024-11-27 08:24:45,WeBankFinTech/Schedulis,active,,2021-11-09 01:47:51.283394\nLSTM-SVM-RF-time-series,https://github.com/HiddenSharp/LSTM-SVM-RF-time-series,NEW,Data,2024-12-25 03:30:00,182.0,38.0,0.0,2020-05-12 15:05:40,2020-04-29 01:03:55,HiddenSharp/LSTM-SVM-RF-time-series,inactive,,2023-04-25 02:00:28.880716\nValet,https://github.com/square/Valet,NEW,Data,2024-12-27 10:03:24,4020.0,217.0,32.0,2015-06-01 14:17:12,2024-12-16 05:48:58,square/Valet,active,,2021-11-09 01:47:51.283394\nrollup,https://github.com/ankane/rollup,NEW,Data,2024-12-27 16:53:12,321.0,17.0,3.0,2020-09-07 22:28:56,2024-11-12 05:42:39,ankane/rollup,active,,2021-11-09 01:47:51.283394\ncryptostore,https://github.com/bmoscon/cryptostore,NEW,Data,2024-12-25 23:56:41,394.0,139.0,23.0,2019-01-26 00:39:36,2024-04-18 17:37:54,bmoscon/cryptostore,active,,2021-11-09 01:47:51.283394\nfxl,https://github.com/zero-one-group/fxl,NEW,Data,2024-07-30 18:20:35,128.0,9.0,4.0,2020-04-18 13:18:54,2021-09-14 09:48:27,zero-one-group/fxl,inactive,,2021-11-09 01:47:51.283394\nlabelImg,https://github.com/heartexlabs/labelImg,NEW,Data,2024-12-28 08:11:35,23031.0,6344.0,93.0,2015-09-17 01:33:59,2022-09-22 22:12:32,HumanSignal/labelImg,inactive,,2022-09-27 03:26:35.084200\nStocks-Pattern-Analyzer,https://github.com/gaborvecsei/Stocks-Pattern-Analyzer,NEW,Data,2024-12-24 18:11:04,235.0,82.0,2.0,2021-01-17 14:27:08,2023-06-20 05:30:32,gaborvecsei/Stocks-Pattern-Analyzer,active,,2021-11-09 01:47:51.283394\ncryptoCMD,https://github.com/guptarohit/cryptoCMD,NEW,Data,2024-12-27 16:51:27,555.0,114.0,7.0,2018-01-27 22:32:48,2024-04-15 23:38:08,guptarohit/cryptoCMD,active,,2021-11-09 01:47:51.283394\ncryptoexchange,https://github.com/coingecko/cryptoexchange,NEW,Data,2024-12-27 17:15:13,300.0,241.0,61.0,2017-07-03 10:25:10,2020-06-22 13:16:13,coingecko/cryptoexchange,inactive,,2021-11-09 01:47:51.283394\nopenvdb,https://github.com/AcademySoftwareFoundation/openvdb,NEW,Data,2024-12-28 10:53:51,2779.0,665.0,63.0,2013-04-12 18:39:57,2024-12-18 00:29:44,AcademySoftwareFoundation/openvdb,active,,2021-11-09 01:47:51.283394\nSatellite-Image-Time-Series-Datasets,https://github.com/corentin-dfg/Satellite-Image-Time-Series-Datasets,NEW,Data,2024-12-22 01:07:26,252.0,23.0,2.0,2023-04-25 11:17:33,2024-12-20 11:24:03,corentin-dfg/Satellite-Image-Time-Series-Datasets,active,,2023-05-16 02:02:28.279303\nwotan,https://github.com/hippke/wotan,NEW,Data,2024-12-09 08:26:36,151.0,22.0,1.0,2019-02-23 17:24:58,2021-09-24 07:06:34,hippke/wotan,inactive,,2021-11-09 01:47:51.283394\nblueflood,https://github.com/rackerlabs/blueflood,NEW,Data,2024-11-28 16:27:12,595.0,102.0,30.0,2013-05-15 14:50:39,2022-09-23 15:49:43,rax-maas/blueflood,inactive,,2021-11-09 01:47:51.283394\ntsod,https://github.com/DHI/tsod,NEW,Data,2024-12-25 09:04:54,165.0,18.0,7.0,2021-01-12 09:53:32,2023-12-19 13:30:54,DHI/tsod,active,,2022-08-09 03:05:30.561241\nOpenOA,https://github.com/NREL/OpenOA,NEW,Data,2024-12-10 01:23:27,195.0,63.0,16.0,2016-12-22 18:16:30,2024-05-24 18:55:57,NREL/OpenOA,active,,2024-03-19 01:40:04.106819\nfinancial_fundamentals,https://github.com/andrewkittredge/financial_fundamentals,NEW,Data,2024-08-19 18:30:02,139.0,52.0,1.0,2013-02-27 03:40:41,2015-03-22 21:51:47,andrewkittredge/financial_fundamentals,inactive,,2021-11-09 01:47:51.283394\nspacetime-vis,https://github.com/oscarperpinan/spacetime-vis,NEW,Data,2024-12-14 20:33:49,133.0,92.0,2.0,2012-06-01 15:37:27,2018-04-05 10:44:51,oscarperpinan/spacetime-vis,inactive,,2021-11-09 01:47:51.283394\ncoinpare,https://github.com/piotrmurach/coinpare,NEW,Data,2024-09-30 23:56:05,113.0,5.0,1.0,2018-04-29 19:32:51,2023-09-24 21:22:14,piotrmurach/coinpare,active,,2021-12-21 01:58:14.409860\nscrapy-wayback-machine,https://github.com/sangaline/scrapy-wayback-machine,NEW,Data,2024-12-25 12:04:47,111.0,29.0,3.0,2017-04-05 01:21:25,2021-03-31 00:00:47,sangaline/scrapy-wayback-machine,inactive,,2023-08-15 01:39:36.886752\nAuto_TS,https://github.com/AutoViML/Auto_TS,NEW,Data,2024-12-28 06:54:26,741.0,115.0,12.0,2020-02-15 15:23:32,2024-05-05 11:51:05,AutoViML/Auto_TS,active,,2021-11-09 01:47:51.283394\nPython-Practical-Application-on-Climate-Variability-Studies,https://github.com/royalosyin/Python-Practical-Application-on-Climate-Variability-Studies,NEW,Data,2024-12-28 18:11:00,247.0,131.0,2.0,2017-09-22 02:24:30,2024-07-28 06:22:46,royalosyin/Python-Practical-Application-on-Climate-Variability-Studies,active,,2021-11-09 01:47:51.283394\nAutoMunge,https://github.com/Automunge/AutoMunge,NEW,Data,2024-09-10 04:15:51,165.0,22.0,1.0,2018-11-07 16:21:23,2024-08-31 09:37:22,Automunge/AutoMunge,active,,2022-03-22 02:19:52.247177\nmcprotocol,https://github.com/plcpeople/mcprotocol,NEW,Data,2024-12-27 03:02:05,100.0,40.0,1.0,2015-03-17 12:21:42,2021-10-26 19:00:00,plcpeople/mcprotocol,inactive,,2024-12-31 01:30:28.685599\nAmortizedCausalDiscovery,https://github.com/loeweX/AmortizedCausalDiscovery,NEW,Data,2024-12-09 07:48:34,204.0,43.0,2.0,2020-06-18 18:08:19,2022-03-25 13:03:02,loeweX/AmortizedCausalDiscovery,inactive,,2022-07-26 03:23:25.008381\ni2p.i2p,https://github.com/i2p/i2p.i2p,NEW,Data,2024-12-28 14:35:53,2067.0,311.0,21.0,2012-05-26 20:54:59,2024-12-26 13:21:16,i2p/i2p.i2p,active,,2021-11-09 01:47:51.283394\nberingei,https://github.com/facebookarchive/beringei,NEW,Data,2024-12-25 05:29:38,3170.0,294.0,20.0,2016-10-11 00:45:02,2018-07-11 17:25:48,facebookarchive/beringei,inactive,,2021-11-09 01:47:51.283394\nmotion-sense,https://github.com/mmalekzadeh/motion-sense,NEW,Data,2024-12-27 09:40:26,327.0,105.0,2.0,2018-02-06 20:41:21,2021-10-19 08:47:39,mmalekzadeh/motion-sense,inactive,,2021-11-09 01:47:51.283394\ntemporian,https://github.com/google/temporian,NEW,Data,2024-12-10 22:58:33,681.0,44.0,17.0,2023-01-17 18:00:40,2024-07-25 07:55:32,google/temporian,active,,2023-09-19 01:42:51.136327\nDeepSense,https://github.com/yscacaca/DeepSense,NEW,Data,2024-08-30 09:04:30,196.0,71.0,1.0,2017-07-02 21:38:33,2017-12-12 23:44:24,yscacaca/DeepSense,inactive,,2021-11-09 01:47:51.283394\nfibo,https://github.com/edmcouncil/fibo,NEW,Data,2024-12-28 23:54:12,345.0,69.0,25.0,2014-02-07 18:35:28,2024-12-28 23:54:07,edmcouncil/fibo,active,,2021-11-09 01:47:51.283394\nAwesome-SSL4TS,https://github.com/qingsongedu/Awesome-SSL4TS,NEW,Data,2024-12-26 01:38:21,294.0,21.0,3.0,2023-06-22 00:34:15,2024-04-28 23:43:39,qingsongedu/Awesome-SSL4TS,active,,2023-10-10 01:42:11.508517\nnixtla,https://github.com/Nixtla/nixtla,NEW,Data,2024-12-28 23:41:07,2410.0,199.0,20.0,2021-09-23 15:48:41,2024-12-21 16:03:31,Nixtla/nixtla,active,,2024-05-14 01:27:29.944051\noreilly_math_fundamentals_data_science,https://github.com/thomasnield/oreilly_math_fundamentals_data_science,NEW,Data,2024-12-15 16:21:36,177.0,118.0,1.0,2021-01-03 02:32:12,2024-05-15 14:02:24,thomasnield/oreilly_math_fundamentals_data_science,active,,2022-09-06 03:40:54.681386\nhadoop-fundamentals,https://github.com/bbengfort/hadoop-fundamentals,NEW,Data,2024-08-25 16:31:40,165.0,150.0,2.0,2014-11-02 15:11:37,2016-08-23 14:54:03,bbengfort/hadoop-fundamentals,inactive,,2021-11-09 01:47:51.283394\nfinnhub-python,https://github.com/Finnhub-Stock-API/finnhub-python,NEW,Data,2024-12-29 00:33:32,595.0,103.0,7.0,2020-05-20 21:54:37,2024-11-06 08:48:24,Finnhub-Stock-API/finnhub-python,active,,2021-11-09 01:47:51.283394\npy-market-profile,https://github.com/bfolkens/py-market-profile,NEW,Data,2024-12-25 08:24:03,362.0,123.0,1.0,2017-10-04 04:55:28,2023-10-30 13:39:09,bfolkens/py-market-profile,active,,2021-11-09 01:47:51.283394\ntrainset,https://github.com/Geocene/trainset,NEW,Data,2024-12-04 06:42:20,164.0,37.0,9.0,2019-02-13 21:21:03,2022-11-21 21:25:07,Geocene/trainset,inactive,,2021-11-23 01:48:03.916510\nsimfin,https://github.com/SimFin/simfin,NEW,Data,2024-12-26 10:23:58,305.0,40.0,4.0,2019-09-25 13:25:42,2024-04-03 11:30:11,SimFin/simfin,active,,2021-11-09 01:47:51.283394\njava-fundamentals-course,https://github.com/bobocode-projects/java-fundamentals-course,NEW,Data,2024-12-24 20:30:39,397.0,465.0,17.0,2020-12-25 14:19:10,2024-06-20 08:55:00,bobocode-projects/java-fundamentals-exercises,active,,2022-03-22 02:19:52.247177\nstocklook,https://github.com/zbarge/stocklook,NEW,Data,2024-10-11 06:34:39,163.0,39.0,1.0,2017-10-29 22:05:01,2018-06-22 03:07:36,zbarge/stocklook,inactive,,2021-11-09 01:47:51.283394\ncalmap,https://github.com/martijnvermaat/calmap,NEW,Data,2024-12-27 15:31:21,210.0,61.0,4.0,2015-12-05 19:46:51,2021-07-11 10:04:57,martijnvermaat/calmap,inactive,,2021-11-09 01:47:51.283394\nmachinelearning4finance,https://github.com/manujajay/machinelearning4finance,NEW,Data,2024-12-20 23:25:43,108.0,12.0,1.0,2023-09-09 07:13:59,2024-02-24 20:01:07,manujajay/machinelearning4finance,active,,2024-05-21 01:26:53.440657\nDeedle,https://github.com/fslaborg/Deedle,NEW,Data,2024-12-12 01:10:47,952.0,197.0,31.0,2013-09-17 18:53:34,2023-01-17 21:18:55,fslaborg/Deedle,active,,2021-11-09 01:47:51.283394\nCrypto-OpSec-SelfGuard-RoadMap,https://github.com/OffcierCia/Crypto-OpSec-SelfGuard-RoadMap,NEW,Data,2024-12-28 18:47:46,1500.0,144.0,5.0,2021-06-22 18:06:25,2024-02-19 03:51:48,OffcierCia/Crypto-OpSec-SelfGuard-RoadMap,active,,2022-01-04 01:57:41.258575\ntiingo-python,https://github.com/hydrosquall/tiingo-python,NEW,Data,2024-12-26 10:13:15,256.0,56.0,13.0,2017-08-25 02:30:50,2024-11-27 16:59:11,hydrosquall/tiingo-python,active,,2021-11-09 01:47:51.283394\ntimeseriescv,https://github.com/sam31415/timeseriescv,NEW,Data,2024-11-13 15:43:14,273.0,65.0,5.0,2018-09-06 22:23:29,2022-02-15 21:31:52,sam31415/timeseriescv,inactive,,2021-11-09 01:47:51.283394\ncrypto,https://github.com/JesseVent/crypto,NEW,Data,2024-12-15 19:32:09,144.0,36.0,3.0,2017-12-19 02:51:58,2020-11-28 10:48:25,JesseVent/crypto,inactive,,2021-11-09 01:47:51.283394\nanomalyzer,https://github.com/lytics/anomalyzer,NEW,Data,2024-09-22 14:45:43,291.0,38.0,3.0,2014-07-11 23:29:39,2015-11-02 00:06:50,lytics/anomalyzer,inactive,,2021-11-09 01:47:51.283394\nprophet,https://github.com/facebook/prophet,NEW,Data,2024-12-28 10:12:53,18674.0,4551.0,163.0,2016-11-16 01:50:08,2024-10-20 08:37:57,facebook/prophet,active,,2021-11-09 01:47:51.283394\nGekko-Datasets,https://github.com/xFFFFF/Gekko-Datasets,NEW,Data,2024-11-26 20:32:22,172.0,42.0,1.0,2018-04-04 22:00:35,2018-05-31 18:43:53,xFFFFF/Gekko-Datasets,inactive,,2021-11-09 01:47:51.283394\nEDGAR,https://github.com/TiesdeKok/UW_Python_Camp/blob/master/Materials/Session_5/EDGAR_walkthrough.ipynb,,Data,2023-09-05 17:47:25,19.0,15.0,1.0,2018-06-11 22:51:57,2018-07-10 18:03:52,TiesdeKok/UW_Python_Camp,inactive,,\nDoppelGANger,https://github.com/fjxmlzn/DoppelGANger,NEW,Data,2024-12-24 09:25:54,302.0,75.0,1.0,2019-09-28 19:58:41,2023-11-03 06:07:19,fjxmlzn/DoppelGANger,active,,2021-11-09 01:47:51.283394\ncalplot,https://github.com/tomkwok/calplot,NEW,Data,2024-12-25 12:41:14,147.0,14.0,5.0,2020-01-14 12:57:41,2022-10-31 07:51:53,tomkwok/calplot,inactive,,2023-09-05 01:39:39.878529\nEdgarRenderer,https://github.com/Arelle/EdgarRenderer,NEW,Data,2024-12-16 21:00:38,158.0,57.0,7.0,2015-04-17 19:28:57,2024-09-20 13:31:23,Arelle/EdgarRenderer,active,,2021-11-09 01:47:51.283394\nFinNLP,https://github.com/AI4Finance-Foundation/FinNLP,NEW,Data,2024-12-27 02:52:58,1154.0,205.0,7.0,2023-02-07 09:21:25,2024-07-01 08:08:36,AI4Finance-Foundation/FinNLP,active,,2023-05-30 02:06:21.672585\nopenHistorian,https://github.com/GridProtectionAlliance/openHistorian,NEW,Data,2024-12-24 07:09:57,173.0,51.0,15.0,2015-09-30 13:34:37,2024-12-24 06:51:16,GridProtectionAlliance/openHistorian,active,,2021-11-09 01:47:51.283394\nadata,https://github.com/1nchaos/adata,NEW,Data,2024-12-28 01:04:30,1403.0,205.0,4.0,2023-05-23 05:13:52,2024-12-26 04:31:26,1nchaos/adata,active,,2023-08-15 01:39:36.886752\ntigramite,https://github.com/jakobrunge/tigramite,NEW,Data,2024-12-27 04:24:11,1364.0,279.0,11.0,2017-05-15 10:20:26,2024-12-20 09:45:48,jakobrunge/tigramite,active,,2022-03-15 02:10:08.371859\nFXModelValidation,https://github.com/plandem/FXModelValidation,NEW,Data,2022-11-17 03:52:33,133.0,10.0,2.0,2014-11-17 20:06:02,2015-07-24 14:30:16,plandem/FXModelValidation,inactive,,2021-11-09 01:47:51.283394\nhttps://github.com/timestocome/StockMarketData,https://github.com/timestocome/StockMarketData,,Data,2022-06-01 10:33:45,11.0,8.0,1.0,2017-05-10 21:49:45,2017-08-06 19:23:18,timestocome/StockMarketData,inactive,,\nroll,https://github.com/jasonjfoster/roll,NEW,Data,2024-11-08 20:33:04,116.0,7.0,2.0,2016-04-02 12:42:16,2024-11-08 20:33:18,jasonjfoster/roll,active,,2024-01-02 01:47:39.520968\nsankee,https://github.com/aazuspan/sankee,NEW,Data,2024-12-13 17:07:00,102.0,15.0,1.0,2021-02-14 08:45:24,2024-03-13 04:49:13,aazuspan/sankee,active,,2024-11-26 01:30:45.511612\nNeural-Net-with-Financial-Time-Series-Data,https://github.com/BenjiKCF/Neural-Net-with-Financial-Time-Series-Data,NEW,Data,2024-12-15 09:06:01,756.0,311.0,1.0,2017-03-22 15:00:01,2020-12-15 13:04:13,BenjiKCF/Neural-Net-with-Financial-Time-Series-Data,inactive,,2021-11-09 01:47:51.283394\nDeepEcho,https://github.com/sdv-dev/DeepEcho,NEW,Data,2024-12-03 15:29:17,105.0,15.0,11.0,2020-06-13 23:08:29,2024-12-03 15:22:55,sdv-dev/DeepEcho,active,,2024-09-17 01:26:28.341466\ncovid-19,https://github.com/datasets/covid-19,NEW,Data,2024-11-22 22:14:56,1161.0,604.0,14.0,2020-03-07 11:20:47,2024-10-25 14:24:12,datasets/covid-19,active,,2021-11-09 01:47:51.283394\narmadillo,https://github.com/patrickfav/armadillo,NEW,Data,2024-12-26 09:28:28,283.0,52.0,8.0,2017-12-19 00:35:28,2023-04-01 06:17:12,patrickfav/armadillo,active,,2021-11-09 01:47:51.283394\nAiops-Learning-Resources,https://github.com/LiaoWenzhe/Aiops-Learning-Resources,NEW,Data,2024-12-26 09:54:38,183.0,30.0,1.0,2021-12-23 14:25:41,2023-01-08 08:01:40,LiaoWenzhe/Aiops-Learning-Resources,active,,2023-05-16 02:02:28.279303\ntardis-python,https://github.com/tardis-dev/tardis-python,NEW,Data,2024-12-25 09:04:29,116.0,16.0,3.0,2019-08-14 08:58:16,2024-12-05 08:41:29,tardis-dev/tardis-python,active,,2024-01-02 01:47:39.520968\nFinancialDatasets,https://github.com/smoothnlp/FinancialDatasets,NEW,Data,2024-12-23 06:40:36,464.0,115.0,2.0,2019-05-27 08:53:57,2019-09-03 08:46:57,smoothnlp/FinancialDatasets,inactive,,2021-11-09 01:47:51.283394\nowler-scraper,https://github.com/oxylabs/owler-scraper,NEW,Data,2024-06-25 10:52:22,136.0,0.0,2.0,2023-12-18 11:15:38,2024-04-19 08:31:25,oxylabs/owler-scraper,active,,2024-04-30 01:25:49.128747\ncoinmarketcap-history,https://github.com/Waultics/coinmarketcap-history,NEW,Data,2024-09-10 02:08:06,188.0,63.0,5.0,2017-10-08 19:37:07,2020-03-07 03:58:10,Waultics/coinmarketcap-history,inactive,,2021-11-09 01:47:51.283394\nredesigned-pancake,https://github.com/Sfedfcv/redesigned-pancake,NEW,Data,,,,,,,Sfedfcv/redesigned-pancake,,,2024-07-02 01:30:08.047945\nMarketData.jl,https://github.com/JuliaQuant/MarketData.jl,NEW,Data,2024-12-19 04:47:00,152.0,21.0,6.0,2014-01-07 14:49:27,2024-09-09 09:51:53,JuliaQuant/MarketData.jl,active,,2022-03-29 02:26:15.174535\nSwiftUI-Crypto-MVVM-CoreData-Combine,https://github.com/SwiftfulThinking/SwiftUI-Crypto-MVVM-CoreData-Combine,NEW,Data,2024-12-25 08:16:13,137.0,18.0,1.0,2021-05-23 22:22:22,2021-05-23 22:24:10,SwiftfulThinking/SwiftUI-Crypto-MVVM-CoreData-Combine,inactive,,2023-12-12 01:50:51.536824\nGet-Things-Done-with-Prompt-Engineering-and-LangChain,https://github.com/curiousily/Get-Things-Done-with-Prompt-Engineering-and-LangChain,NEW,Data,2024-12-27 10:35:32,1140.0,362.0,1.0,2023-04-12 21:11:48,2024-01-07 15:10:12,curiousily/Get-Things-Done-with-Prompt-Engineering-and-LangChain,active,,2023-06-13 02:10:49.173973\nSpreads,https://github.com/Spreads/Spreads,NEW,Data,2024-12-26 01:23:06,431.0,39.0,3.0,2015-12-20 20:10:03,2023-04-16 20:23:15,Spreads/Spreads,active,,2021-11-09 01:47:51.283394\ntraja,https://github.com/traja-team/traja,NEW,Data,2024-11-29 19:32:53,101.0,25.0,7.0,2019-01-16 14:47:10,2024-06-02 12:11:49,traja-team/traja,active,,2024-11-05 01:30:26.243852\nForecasting-Time-Series-Data-with-Facebook-Prophet,https://github.com/PacktPublishing/Forecasting-Time-Series-Data-with-Facebook-Prophet,NEW,Data,2024-12-16 09:31:56,102.0,75.0,5.0,2020-10-09 07:25:18,2023-01-18 09:19:31,PacktPublishing/Forecasting-Time-Series-Data-with-Facebook-Prophet,active,,2024-11-12 01:31:31.650810\nangular-chartjs,https://github.com/txbm/angular-chartjs,NEW,Data,2024-09-23 10:25:17,145.0,37.0,6.0,2013-09-17 06:01:13,2015-09-25 19:49:00,txbm/angular-chartjs,inactive,,2023-02-07 02:10:07.223310\nlepto,https://github.com/dimitrinicolas/lepto,NEW,Data,2024-09-19 11:51:36,497.0,16.0,1.0,2018-06-01 22:15:10,2018-08-21 16:00:59,dimitrinicolas/lepto,inactive,,2021-11-09 01:47:51.283394\nAethir,https://github.com/Nour-ibrahem/Aethir,NEW,Data,2024-11-18 20:04:35,1069.0,0.0,1.0,2024-10-03 20:01:57,2024-11-13 15:07:08,Nour-ibrahem/Aethir,active,,2024-11-19 01:32:01.579868\nfushare,https://github.com/LowinLi/fushare,NEW,Data,2024-11-28 15:40:25,238.0,79.0,6.0,2018-07-19 05:46:20,2020-03-31 09:42:38,LowinLi/fushare,inactive,,2021-11-09 01:47:51.283394\nrrd4j,https://github.com/rrd4j/rrd4j,NEW,Data,2024-12-14 00:56:32,267.0,74.0,17.0,2015-04-06 13:59:53,2024-08-30 15:18:33,rrd4j/rrd4j,active,,2021-11-09 01:47:51.283394\ninvestment_data,https://github.com/chenditc/investment_data,NEW,Data,2024-12-28 07:43:45,310.0,55.0,6.0,2022-07-19 11:41:27,2024-07-18 03:15:54,chenditc/investment_data,active,,2023-07-25 02:14:35.864151\nautomobile-models-and-specs,https://github.com/ilyasozkurt/automobile-models-and-specs,NEW,Data,2024-12-04 20:13:49,185.0,28.0,1.0,2020-01-27 08:47:57,2024-10-23 10:10:36,ilyasozkurt/automobile-models-and-specs,active,,2024-10-29 01:30:15.449101\netoolbox-authoring-kit,https://github.com/exadel-inc/etoolbox-authoring-kit,NEW,Data,2024-12-16 10:43:49,108.0,13.0,27.0,2019-09-05 14:14:26,2024-09-30 14:12:26,exadel-inc/etoolbox-authoring-kit,active,,2024-08-27 01:30:50.216486\nStock-Market-Sentiment-Analysis,https://github.com/gandalf1819/Stock-Market-Sentiment-Analysis,NEW,Data,2024-12-28 14:48:37,109.0,31.0,1.0,2018-11-07 05:42:41,2020-11-10 15:49:58,gandalf1819/Stock-Market-Sentiment-Analysis,inactive,,2024-10-29 01:30:15.449101\nFNSPID_Financial_News_Dataset,https://github.com/Zdong104/FNSPID_Financial_News_Dataset,NEW,Data,2024-12-28 06:07:18,130.0,27.0,2.0,2024-01-24 02:50:17,2024-12-03 15:28:50,Zdong104/FNSPID_Financial_News_Dataset,active,,2024-10-29 01:30:15.449101\negads,https://github.com/yahoo/egads,NEW,Data,2024-12-26 04:49:08,1175.0,330.0,13.0,2015-05-06 17:47:52,2022-01-04 16:32:30,yahoo/egads,inactive,,2021-11-09 01:47:51.283394\nosgeo,https://github.com/OSGeo/osgeo,NEW,Data,2024-12-22 21:20:53,378.0,67.0,23.0,2017-07-13 14:53:37,2024-12-05 19:54:25,OSGeo/osgeo,active,,2021-11-09 01:47:51.283394\nsec-ai,https://github.com/alphanome-ai/sec-ai,NEW,Data,2024-12-26 22:56:15,114.0,24.0,2.0,2023-09-09 14:20:27,2024-03-27 18:20:01,alphanome-ai/sec-ai,active,,2024-10-22 01:30:14.221824\ntimeseries_gan,https://github.com/buriburisuri/timeseries_gan,NEW,Data,2024-12-26 02:42:44,294.0,100.0,1.0,2016-09-19 02:03:05,2017-11-08 16:52:41,buriburisuri/timeseries_gan,inactive,,2021-11-09 01:47:51.283394\nGnip-Trend-Detection,https://github.com/twitterdev/Gnip-Trend-Detection,NEW,Data,2024-08-07 02:58:06,192.0,48.0,2.0,2015-01-26 19:37:03,2017-02-28 17:55:07,xdevplatform/Gnip-Trend-Detection,inactive,,2021-11-09 01:47:51.283394\nSEC Parsing,https://github.com/healthgradient/sec-doc-info-extraction/blob/master/classify_sections_containing_relevant_information.ipynb,,Data,2024-07-24 09:04:56,13.0,7.0,0.0,2018-06-16 14:30:06,2018-06-16 17:23:46,JarrodAJ/sec-doc-info-extraction,inactive,,\nquestdb,https://github.com/questdb/questdb,NEW,Data,2024-12-28 21:34:20,14741.0,1195.0,147.0,2014-04-28 23:29:15,2024-12-26 19:45:40,questdb/questdb,active,,2021-11-09 01:47:51.283394\nSAITS,https://github.com/WenjieDu/SAITS,NEW,Data,2024-12-28 13:17:50,350.0,54.0,1.0,2021-12-07 14:57:37,2024-08-29 05:21:18,WenjieDu/SAITS,active,,2023-06-06 02:23:59.483338\nTSDB,https://github.com/WenjieDu/TSDB,NEW,Data,2024-12-25 02:20:43,173.0,19.0,4.0,2022-04-01 09:44:47,2024-09-11 14:01:34,WenjieDu/TSDB,active,,2024-03-05 01:40:17.150543\nSuperalgos,https://github.com/Superalgos/Superalgos,NEW,Data,2024-12-28 17:50:27,4340.0,5627.0,187.0,2019-08-12 17:34:43,2024-11-02 15:44:02,Superalgos/Superalgos,active,,2021-11-09 01:47:51.283394\nbinjr,https://github.com/binjr/binjr,NEW,Data,2024-12-27 02:58:08,294.0,23.0,2.0,2016-10-26 12:08:26,2024-12-16 10:12:33,binjr/binjr,active,,2021-11-09 01:47:51.283394\njquery-autocomplete,https://github.com/dyve/jquery-autocomplete,NEW,Data,2024-10-25 10:12:06,400.0,181.0,9.0,2011-12-28 12:31:02,2015-03-26 09:50:53,dyve/jquery-autocomplete,inactive,,2021-11-09 01:47:51.283394\ncoingraph,https://github.com/derogab/coingraph,NEW,Data,2024-12-25 05:38:35,127.0,18.0,5.0,2017-09-01 21:22:09,2024-10-14 14:53:32,derogab/coingraph,active,,2024-10-15 01:31:00.714540\nAustralian-Open-Banking-Data-Database,https://github.com/LukePrior/Australian-Open-Banking-Data-Database,NEW,Data,2024-12-13 01:52:19,130.0,7.0,2.0,2020-10-30 09:35:15,2024-12-13 01:52:14,LukePrior/Australian-Open-Banking-Data-Database,active,,2023-12-26 01:43:36.487487\ntsfile,https://github.com/thulab/tsfile,NEW,Data,2024-11-10 02:39:14,113.0,22.0,15.0,2017-03-30 14:45:08,2018-12-18 03:30:06,thulab/tsfile,inactive,,2021-11-09 01:47:51.283394\napi,https://github.com/moonstream-to/api,NEW,Data,2024-12-18 14:51:23,143.0,49.0,11.0,2021-07-01 23:01:21,2024-12-18 14:51:18,moonstream-to/api,active,,2023-06-06 02:23:59.483338\nExpert-Advisor-Studio,https://github.com/fintechees/Expert-Advisor-Studio,NEW,Data,2024-12-28 11:21:15,291.0,56.0,4.0,2019-02-18 17:52:25,2024-12-24 14:15:02,fintechees/Expert-Advisor-Studio,active,,2021-11-09 01:47:51.283394\nsec-edgar,https://github.com/sec-edgar/sec-edgar,NEW,Data,2024-12-28 09:51:23,1072.0,294.0,20.0,2013-11-27 21:27:22,2024-11-23 03:42:19,sec-edgar/sec-edgar,active,,2021-11-09 01:47:51.283394\nSTLDecompose,https://github.com/jrmontag/STLDecompose,NEW,Data,2024-12-17 13:57:04,182.0,50.0,2.0,2017-10-16 20:27:52,2019-03-03 04:39:50,jrmontag/STLDecompose,inactive,,2021-11-09 01:47:51.283394\nchange-detection-tutorial,https://github.com/amanahuja/change-detection-tutorial,NEW,Data,2024-09-12 05:48:43,187.0,44.0,1.0,2014-01-21 20:34:43,2022-06-29 16:49:57,amanahuja/change-detection-tutorial,inactive,,2021-11-09 01:47:51.283394\nFinMind,https://github.com/FinMind/FinMind,NEW,Data,2024-12-27 02:39:51,2133.0,345.0,9.0,2018-12-16 07:16:25,2024-12-25 17:15:40,FinMind/FinMind,active,,2021-11-09 01:47:51.283394\nThief-Cat,https://github.com/FalseKSCH/Thief-Cat,NEW,Data,2023-08-07 19:24:46,127.0,3.0,1.0,2023-07-13 06:18:54,2023-08-07 09:38:27,FalseKSCH/Thief-Cat,active,,2023-08-08 01:55:56.440338\nmultivariate-time-series-data,https://github.com/laiguokun/multivariate-time-series-data,NEW,Data,2024-12-25 07:59:09,782.0,169.0,0.0,2017-02-16 02:32:38,2017-04-09 18:19:22,laiguokun/multivariate-time-series-data,inactive,,2021-11-09 01:47:51.283394\nPhinch,https://github.com/PitchInteractiveInc/Phinch,NEW,Data,2024-05-08 03:26:21,149.0,30.0,5.0,2013-11-07 17:59:53,2021-10-27 23:05:24,PitchInteractiveInc/Phinch,inactive,,2021-11-09 01:47:51.283394\nreductstore,https://github.com/reductstore/reductstore,NEW,Data,2024-12-28 09:07:50,180.0,8.0,7.0,2021-12-23 21:27:52,2024-12-28 09:07:36,reductstore/reductstore,active,,2023-07-04 02:25:10.054914\nDP-900T00A-Azure-Data-Fundamentals,https://github.com/MicrosoftLearning/DP-900T00A-Azure-Data-Fundamentals,NEW,Data,2024-12-28 20:03:21,286.0,281.0,18.0,2021-03-03 22:58:00,2024-09-09 16:55:35,MicrosoftLearning/DP-900T00A-Azure-Data-Fundamentals,active,,2022-04-12 02:28:45.910825\nOpen-Data-Catalog,https://github.com/opendataphilly/Open-Data-Catalog,NEW,Data,2024-12-09 07:58:21,246.0,87.0,10.0,2011-06-16 13:21:20,2014-01-13 14:18:45,opendataphilly/Open-Data-Catalog,inactive,,2023-11-21 01:54:27.077867\ntardis-machine,https://github.com/tardis-dev/tardis-machine,NEW,Data,2024-12-23 10:57:48,255.0,49.0,1.0,2019-06-13 09:18:54,2024-11-22 16:14:54,tardis-dev/tardis-machine,active,,2021-11-09 01:47:51.283394\ncryptogalaxy,https://github.com/milkywaybrain/cryptogalaxy,NEW,Data,2023-01-08 19:51:35,113.0,26.0,2.0,2021-04-08 01:09:18,2021-12-31 12:56:23,milkywaybrain/cryptogalaxy,active,,2022-07-26 03:23:25.008381\nhighfrequency,https://github.com/jonathancornelissen/highfrequency,NEW,Data,2024-11-23 16:59:04,150.0,63.0,7.0,2012-12-24 11:15:54,2022-12-05 21:01:34,jonathancornelissen/highfrequency,inactive,,2022-09-20 03:35:21.169094\nautomating-technical-analysis,https://github.com/akurgat/automating-technical-analysis,NEW,Data,2024-12-27 06:39:42,278.0,83.0,2.0,2019-12-21 19:11:59,2024-02-02 07:20:52,akurgat/automating-technical-analysis,active,,2023-05-02 01:59:41.710753\nbinance-watch,https://github.com/rainner/binance-watch,NEW,Data,2024-12-16 21:06:55,189.0,80.0,1.0,2018-05-17 15:36:37,2022-01-04 17:44:41,rainner/binance-watch,inactive,,2021-11-09 01:47:51.283394\nSentiment-analysis-of-financial-news-data,https://github.com/gyanesh-m/Sentiment-analysis-of-financial-news-data,NEW,Data,2024-10-22 06:40:24,120.0,41.0,4.0,2017-01-30 16:23:25,2019-12-09 17:40:07,gyanesh-m/Sentiment-analysis-of-financial-news-data,inactive,,2022-11-29 02:21:55.195689\naeon,https://github.com/aeon-toolkit/aeon,NEW,Data,2024-12-27 19:15:51,1049.0,143.0,280.0,2022-12-20 12:44:09,2024-12-27 17:34:38,aeon-toolkit/aeon,active,,2023-10-03 01:44:20.704982\ncryptographic-autonomy-license,https://github.com/holochain/cryptographic-autonomy-license,NEW,Data,2024-07-05 14:08:34,241.0,6.0,2.0,2019-02-01 22:30:49,2019-12-18 19:21:52,holochain/cryptographic-autonomy-license,inactive,,2024-04-23 01:45:10.637795\nKats,https://github.com/facebookresearch/Kats,NEW,Data,2024-12-27 09:23:08,5187.0,549.0,72.0,2021-02-25 21:51:06,2024-12-21 19:07:16,facebookresearch/Kats,active,,2021-11-09 01:47:51.283394\ncontrollers,https://github.com/MetaMask/controllers,NEW,Data,2024-12-20 14:54:52,296.0,198.0,100.0,2018-05-29 12:55:25,2024-12-20 14:54:47,MetaMask/core,active,,2022-04-12 02:28:45.910825\nOpen Edgar,https://github.com/LexPredict/openedgar,,Data,2024-12-01 07:29:26,296.0,96.0,4.0,2018-05-07 15:32:31,2019-05-15 08:32:30,LexPredict/openedgar,inactive,,\nZenroom,https://github.com/dyne/Zenroom,NEW,Data,2024-12-23 06:49:50,205.0,64.0,35.0,2017-12-02 12:15:05,2024-12-23 06:48:38,dyne/Zenroom,active,,2021-11-09 01:47:51.283394\ncal-heatmap,https://github.com/wa0x6e/cal-heatmap,NEW,Data,2024-12-27 05:10:05,2748.0,297.0,22.0,2013-02-18 05:33:24,2024-03-03 18:32:30,wa0x6e/cal-heatmap,active,,2021-11-09 01:47:51.283394\nsec-edgar-financials,https://github.com/farhadab/sec-edgar-financials,NEW,Data,2024-12-26 22:31:09,151.0,43.0,1.0,2018-12-03 04:37:05,2019-08-05 20:06:33,farhadab/sec-edgar-financials,inactive,,2022-01-18 01:59:59.706365\naaltd18,https://github.com/hfawaz/aaltd18,NEW,Data,2024-12-27 05:32:55,185.0,42.0,2.0,2018-08-02 13:13:26,2018-10-11 08:55:38,hfawaz/aaltd18,inactive,,2021-11-09 01:47:51.283394\nsjvisualizer,https://github.com/SjoerdTilmans/sjvisualizer,NEW,Data,2024-12-28 21:52:32,209.0,32.0,2.0,2022-02-12 13:30:09,2024-06-12 12:39:45,SjoerdTilmans/sjvisualizer,active,,2023-11-21 01:54:27.077867\nvpselector,https://github.com/manumerous/vpselector,NEW,Data,2024-11-06 04:19:13,76.0,5.0,2.0,2021-04-26 14:47:22,2023-09-20 18:31:32,manumerous/vpselector,active,,2024-01-09 01:50:21.564819\n6S191_MIT_DeepLearning,https://github.com/abusufyanvu/6S191_MIT_DeepLearning,NEW,Data,2024-12-23 13:55:51,177.0,63.0,1.0,2022-01-16 11:01:50,2022-01-16 11:22:48,abusufyanvu/6S191_MIT_DeepLearning,inactive,,2023-11-28 01:50:49.999144\njquery-ajax-unobtrusive,https://github.com/aspnet/jquery-ajax-unobtrusive,NEW,Data,2024-09-16 22:08:57,144.0,113.0,10.0,2015-02-27 00:25:38,2024-09-16 22:08:53,aspnet/jquery-ajax-unobtrusive,active,,2021-11-09 01:47:51.283394\nblockhead,https://github.com/darrylyeo/blockhead,NEW,Data,2024-12-28 19:07:39,127.0,49.0,2.0,2020-10-22 01:35:50,2024-12-28 19:07:17,darrylyeo/blockhead,active,,2024-02-13 01:40:56.507970\nfinancial-datasets,https://github.com/virattt/financial-datasets,NEW,Data,2024-12-25 11:54:17,282.0,39.0,1.0,2024-03-29 00:56:11,2024-05-27 22:32:00,virattt/financial-datasets,active,,2024-04-16 01:42:09.898609\nTimeChart,https://github.com/huww98/TimeChart,NEW,Data,2024-12-25 07:42:26,367.0,32.0,5.0,2020-01-21 09:17:04,2024-01-28 13:26:56,huww98/TimeChart,active,,2021-11-09 01:47:51.283394\nquokka,https://github.com/marsupialtail/quokka,NEW,Data,2024-12-12 11:40:50,1144.0,59.0,9.0,2021-11-19 01:17:06,2023-09-30 04:17:34,marsupialtail/quokka,active,,2023-08-08 01:55:56.440338\nfinance-dl,https://github.com/jbms/finance-dl,NEW,Data,2024-12-25 16:16:08,294.0,38.0,20.0,2018-10-04 21:44:22,2024-10-07 04:27:53,jbms/finance-dl,active,,2021-11-09 01:47:51.283394\nultrafinance,https://github.com/panpanpandas/ultrafinance,NEW,Data,2024-11-25 11:03:27,425.0,152.0,1.0,2014-10-20 04:21:07,2014-10-20 04:31:29,panpanpandas/ultrafinance,inactive,,2021-11-09 01:47:51.283394\nnyctaxi,https://github.com/chriswhong/nyctaxi,NEW,Data,2024-10-13 21:02:10,452.0,160.0,2.0,2014-06-29 18:46:08,2017-08-11 22:00:46,chriswhong/nyctaxi,inactive,,2021-11-09 01:47:51.283394\nRGAN,https://github.com/ratschlab/RGAN,NEW,Data,2024-12-24 23:01:33,641.0,180.0,4.0,2017-06-08 11:26:13,2018-02-09 18:09:22,ratschlab/RGAN,inactive,,2021-11-09 01:47:51.283394\nFinancialDataAnalysisWithPython,https://github.com/LearnPythonWithRune/FinancialDataAnalysisWithPython,NEW,Data,2023-06-26 10:02:22,165.0,44.0,3.0,2021-03-03 12:53:25,2022-06-26 16:16:27,LearnPythonWithRune/FinancialDataAnalysisWithPython,active,,2022-12-27 02:04:49.356851\nalpha_vantage,https://github.com/RomelTorres/alpha_vantage,NEW,Data,2024-12-28 22:42:21,4321.0,742.0,39.0,2017-04-29 17:23:00,2024-07-18 16:46:48,RomelTorres/alpha_vantage,active,,2021-11-09 01:47:51.283394\ntradekit,https://github.com/hackingthemarkets/tradekit,NEW,Data,2024-12-17 00:32:32,654.0,254.0,1.0,2020-12-25 21:54:13,2021-03-07 03:09:10,hackingthemarkets/tradekit,inactive,,2021-11-09 01:47:51.283394\ntimeseries-generator,https://github.com/Nike-Inc/timeseries-generator,NEW,Data,2024-12-11 04:03:06,142.0,33.0,4.0,2021-07-20 20:15:19,2024-03-18 08:03:03,Nike-Inc/timeseries-generator,active,,2023-08-15 01:39:36.886752\nLSTM_encoder_decoder,https://github.com/lkulowski/LSTM_encoder_decoder,NEW,Data,2024-12-24 14:09:19,389.0,87.0,1.0,2020-01-20 18:35:48,2020-11-20 03:31:31,lkulowski/LSTM_encoder_decoder,inactive,,2021-11-09 01:47:51.283394\nstockdex,https://github.com/ahnazary/stockdex,NEW,Data,2024-12-26 17:20:35,103.0,5.0,2.0,2024-02-02 22:50:23,2024-12-01 09:15:23,ahnazary/stockdex,active,,2024-12-17 01:31:01.801098\nawesome-TS-anomaly-detection,https://github.com/rob-med/awesome-TS-anomaly-detection,NEW,Data,2024-12-25 11:55:10,2988.0,454.0,15.0,2017-12-19 15:05:20,2024-10-21 16:22:32,rob-med/awesome-TS-anomaly-detection,active,,2021-11-09 01:47:51.283394\nfinnts,https://github.com/microsoft/finnts,NEW,Data,2024-12-22 02:51:23,191.0,36.0,8.0,2021-07-02 16:53:31,2024-10-29 14:40:01,microsoft/finnts,active,,2024-02-27 01:38:42.730901\ndbg-pds,https://github.com/Deutsche-Boerse/dbg-pds,NEW,Data,2022-06-25 08:09:00,156.0,29.0,6.0,2017-08-24 10:22:58,2021-07-12 11:45:48,Deutsche-Boerse/dbg-pds,active,,2021-11-09 01:47:51.283394\nFinQA,https://github.com/czyssrs/FinQA,NEW,Data,2024-12-26 22:24:07,245.0,36.0,2.0,2021-05-13 21:49:30,2022-06-06 02:12:33,czyssrs/FinQA,inactive,,2022-08-02 03:26:48.666043\narctic,https://github.com/man-group/arctic,NEW,Data,2024-12-28 14:58:37,3060.0,585.0,56.0,2015-05-29 13:37:30,2024-04-08 16:35:28,man-group/arctic,active,,2021-11-09 01:47:51.283394\nData-Scientist-Books,https://github.com/aaaastark/Data-Scientist-Books,NEW,Data,2024-10-05 23:33:47,476.0,270.0,1.0,2022-01-20 21:52:01,2023-11-22 22:07:26,aaaastark/Data-Scientist-Books,active,,2023-08-29 01:41:53.747047\nPIXIU,https://github.com/chancefocus/PIXIU,NEW,Data,2024-12-28 17:20:58,576.0,71.0,13.0,2023-06-02 02:59:15,2024-10-18 02:28:37,The-FinAI/PIXIU,active,,2023-07-04 02:25:10.054914\npy-edgar,https://github.com/joeyism/py-edgar,NEW,Data,2024-12-16 21:00:27,230.0,52.0,4.0,2017-06-29 23:59:34,2024-10-13 08:13:13,joeyism/py-edgar,active,,2021-11-09 01:47:51.283394\npiecewise,https://github.com/DataDog/piecewise,NEW,Data,2024-10-14 01:50:09,105.0,35.0,4.0,2017-06-26 18:19:43,2019-03-18 16:23:18,DataDog/piecewise,inactive,,2024-05-21 01:26:53.440657\nweb-scraping,https://github.com/je-suis-tm/web-scraping,NEW,Data,2024-12-26 22:32:32,751.0,173.0,1.0,2018-04-04 05:50:45,2021-06-28 19:56:23,je-suis-tm/web-scraping,inactive,,2021-11-09 01:47:51.283394\nEmployee Count SEC Filings,https://github.com/healthgradient/sec_employee_information_extraction,,Data,2024-02-20 12:45:07,15.0,4.0,0.0,2018-06-26 23:33:51,2018-08-14 01:31:13,JarrodAJ/sec_employee_information_extraction,inactive,,\nmplfinance,https://github.com/matplotlib/mplfinance,NEW,Data,2024-12-28 21:23:27,3772.0,639.0,39.0,2019-12-05 16:32:32,2024-04-02 18:41:57,matplotlib/mplfinance,active,,2021-11-09 01:47:51.283394\nedgar,https://github.com/datasets/edgar,NEW,Data,2024-12-16 21:00:17,331.0,68.0,3.0,2014-03-03 20:17:23,2024-10-25 14:25:56,datasets/edgar,active,,2021-11-09 01:47:51.283394\nmiditime,https://github.com/cirlabs/miditime,NEW,Data,2024-10-21 00:47:41,160.0,41.0,5.0,2015-05-12 21:48:29,2024-10-21 00:47:33,mikejcorey/miditime,active,,2021-11-09 01:47:51.283394\nsec-edgar-downloader,https://github.com/jadchaar/sec-edgar-downloader,NEW,Data,2024-12-28 02:51:24,513.0,138.0,3.0,2018-12-20 20:59:26,2024-07-26 04:49:02,jadchaar/sec-edgar-downloader,active,,2021-11-09 01:47:51.283394\nawesome-time-series-database,https://github.com/xephonhq/awesome-time-series-database,NEW,Data,2024-12-25 00:13:12,856.0,80.0,4.0,2016-10-17 23:38:35,2022-07-21 00:18:25,xephonhq/awesome-time-series-database,inactive,,2021-11-09 01:47:51.283394\nhttps://stooq.com,https://stooq.com,,Data,,,,,,,,,,\nFetching-Financial-Data,https://github.com/rbhatia46/Fetching-Financial-Data,NEW,Data,2024-12-26 22:32:11,186.0,29.0,1.0,2020-08-22 23:43:18,2020-08-25 03:15:52,rbhatia46/Fetching-Financial-Data,inactive,,2021-11-09 01:47:51.283394\nAI-Crypto-Signals-Bot,https://github.com/Titsou/AI-Crypto-Signals-Bot,NEW,Data,2024-11-11 20:17:25,707.0,0.0,1.0,2024-11-08 13:00:54,2024-11-08 13:03:55,Titsou/AI-Crypto-Signals-Bot,active,,2024-11-12 01:31:31.650810\nazuredatastudio,https://github.com/microsoft/azuredatastudio,NEW,Data,2024-12-26 17:49:42,7614.0,909.0,171.0,2017-11-02 01:00:13,2024-12-19 21:03:50,microsoft/azuredatastudio,active,,2023-04-25 02:00:28.880716\ntradingview-udf-binance-node,https://github.com/bergusman/tradingview-udf-binance-node,NEW,Data,2024-12-20 19:27:06,139.0,62.0,1.0,2018-08-22 01:37:19,2019-10-14 15:37:19,bergusman/tradingview-udf-binance-node,inactive,,2022-08-09 03:05:30.561241\nBitcoinExchangeFH,https://github.com/BitcoinExchangeFH/BitcoinExchangeFH,NEW,Data,2024-12-26 13:13:20,939.0,295.0,4.0,2016-10-24 13:30:31,2022-12-28 17:07:41,BitcoinExchangeFH/BitcoinExchangeFH,inactive,,2021-11-09 01:47:51.283394\nwxee,https://github.com/aazuspan/wxee,NEW,Data,2024-12-14 02:00:41,207.0,16.0,1.0,2021-07-22 02:13:27,2024-12-14 02:00:37,aazuspan/wxee,active,,2022-03-01 02:10:06.535299\nsimfin-tutorials,https://github.com/SimFin/simfin-tutorials,NEW,Data,2024-12-25 18:41:42,262.0,68.0,4.0,2019-09-25 13:26:40,2023-05-02 14:33:28,SimFin/simfin-tutorials,active,,2021-11-09 01:47:51.283394\nacra,https://github.com/cossacklabs/acra,NEW,Data,2024-12-25 05:55:51,1370.0,129.0,19.0,2016-11-14 16:23:25,2024-09-17 12:07:16,cossacklabs/acra,active,,2021-11-09 01:47:51.283394\nAwesome-TimeSeries-SpatioTemporal-Diffusion-Model,https://github.com/yyysjz1997/Awesome-TimeSeries-SpatioTemporal-Diffusion-Model,NEW,Data,2024-12-28 08:43:46,538.0,45.0,4.0,2023-10-09 16:12:22,2024-12-02 23:18:49,yyysjz1997/Awesome-TimeSeries-SpatioTemporal-Diffusion-Model,active,,2024-01-23 01:54:46.559911\nCoinTrend,https://github.com/CoinTrend/CoinTrend,NEW,Data,2024-12-19 19:48:54,216.0,31.0,2.0,2022-10-28 16:22:23,2024-09-24 18:15:23,CoinTrend/CoinTrend,active,,2023-08-29 01:41:53.747047\nCoinWatch,https://github.com/shorthouse/CoinWatch,NEW,Data,2024-12-24 00:33:24,129.0,9.0,2.0,2023-06-18 11:28:46,2024-12-22 17:51:50,shorthouse/CoinWatch,active,,2024-09-17 01:26:28.341466\ntime-series-transformers-review,https://github.com/qingsongedu/time-series-transformers-review,NEW,Data,2024-12-27 22:10:38,2564.0,246.0,1.0,2022-03-01 01:36:29,2024-04-06 21:12:07,qingsongedu/time-series-transformers-review,active,,2022-05-17 02:54:17.956377\nOn-Device-FinLLM,https://github.com/Lattice-zjj/On-Device-FinLLM,NEW,Data,2024-12-28 01:47:51,284.0,31.0,1.0,2024-09-03 06:57:42,2024-09-09 07:27:34,Lattice-zjj/On-Device-FinLLM,active,,2024-09-17 01:26:28.341466\nstreamlit_finance_chart,https://github.com/paduel/streamlit_finance_chart,NEW,Data,2024-12-23 03:39:11,124.0,46.0,1.0,2019-10-21 18:27:09,2019-10-22 16:58:45,paduel/streamlit_finance_chart,inactive,,2023-05-09 02:00:27.985609\nlaravel-model-json,https://github.com/vildanbina/laravel-model-json,NEW,Data,2024-12-17 13:48:05,124.0,10.0,2.0,2023-01-18 14:10:24,2024-09-19 13:13:58,vildanbina/laravel-model-json,active,,2023-10-17 01:43:40.398734\nfacette,https://github.com/facette/facette,NEW,Data,2024-12-27 21:45:29,1156.0,69.0,22.0,2011-08-04 16:28:07,2020-06-11 07:45:09,facette/facette,inactive,,2021-11-09 01:47:51.283394\npython-edgar,https://github.com/edgarminers/python-edgar,NEW,Data,2024-12-10 17:53:13,338.0,80.0,8.0,2014-06-11 01:20:09,2023-05-05 05:34:14,edgarminers/python-edgar,active,,2021-11-09 01:47:51.283394\nparadigm-data-portal,https://github.com/paradigmxyz/paradigm-data-portal,NEW,Data,2024-12-27 14:16:04,295.0,17.0,1.0,2023-03-17 16:23:22,2023-06-02 04:00:10,paradigmxyz/paradigm-data-portal,active,,2023-03-28 02:04:21.715377\ndownsampling-algorithm,https://github.com/haoel/downsampling-algorithm,NEW,Data,2024-11-19 04:22:59,202.0,30.0,2.0,2019-09-07 11:25:05,2023-04-21 15:52:18,haoel/downsampling,active,,2021-11-09 01:47:51.283394\npynance,https://github.com/GriffinAustin/pynance,NEW,Data,2024-10-30 18:30:31,317.0,43.0,3.0,2014-11-05 23:11:23,2021-02-03 02:29:31,GriffinAustin/pynance,inactive,,2022-07-26 03:23:25.008381\nWeDataSphere,https://github.com/WeBankFinTech/WeDataSphere,NEW,Data,2024-12-27 03:09:41,660.0,162.0,6.0,2019-07-23 06:31:54,2024-03-14 02:39:21,WeBankFinTech/WeDataSphere,active,,2021-11-09 01:47:51.283394\nkcov,https://github.com/SimonKagstrom/kcov,NEW,Data,2024-12-23 12:06:00,726.0,111.0,61.0,2010-08-23 12:03:31,2024-09-30 16:45:06,SimonKagstrom/kcov,active,,2021-11-09 01:47:51.283394\nDeep-Learning-For-Hackers,https://github.com/curiousily/Deep-Learning-For-Hackers,NEW,Data,2024-12-28 15:22:36,1033.0,441.0,1.0,2019-04-24 06:06:44,2020-04-23 06:08:46,curiousily/Deep-Learning-For-Hackers,inactive,,2021-11-09 01:47:51.283394\nFinRL-Meta,https://github.com/AI4Finance-Foundation/FinRL-Meta,NEW,Data,2024-12-28 11:36:34,1325.0,594.0,35.0,2021-02-16 11:30:17,2024-10-15 06:52:46,AI4Finance-Foundation/FinRL-Meta,active,,2021-12-07 01:56:42.666013\nciphr,https://github.com/frohoff/ciphr,NEW,Data,2024-08-12 19:12:21,115.0,30.0,1.0,2013-09-25 04:42:53,2018-08-04 01:36:10,frohoff/ciphr,inactive,,2023-04-04 02:01:50.032297\ndjango-cryptography,https://github.com/georgemarshall/django-cryptography,NEW,Data,2024-12-20 10:23:59,384.0,79.0,4.0,2016-03-02 07:55:01,2024-02-16 03:05:10,georgemarshall/django-cryptography,active,,2021-11-09 01:47:51.283394\nhttp://finance.yahoo.com/,http://finance.yahoo.com/,,Data,,,,,,,,,,\nEconomicTracker,https://github.com/OpportunityInsights/EconomicTracker,NEW,Data,2024-12-27 03:11:52,310.0,191.0,3.0,2020-06-17 04:35:43,2024-12-27 03:11:46,OpportunityInsights/EconomicTracker,active,,2021-11-09 01:47:51.283394\nStreamAD,https://github.com/Fengrui-Liu/StreamAD,NEW,Data,2024-12-11 01:59:34,117.0,23.0,4.0,2020-11-16 02:22:00,2023-05-11 10:01:29,Fengrui-Liu/StreamAD,active,,2024-05-14 01:27:29.944051\nRating Industries,http://www.ratingshistory.info/,,Data,,,,,,,,,,\ndeeptime,https://github.com/deeptime-ml/deeptime,NEW,Data,2024-12-23 12:31:44,774.0,83.0,16.0,2018-03-27 15:47:05,2024-10-23 08:41:37,deeptime-ml/deeptime,active,,2021-11-09 01:47:51.283394\nfinances-app,https://github.com/luism6n/finances-app,NEW,Data,2024-10-27 16:16:49,111.0,9.0,1.0,2022-06-18 22:58:40,2022-09-25 19:27:44,luism6n/finances-app,inactive,,2022-11-01 03:26:16.108022\nStocksera,https://github.com/guanquann/Stocksera,NEW,Data,2024-12-24 06:51:50,667.0,110.0,3.0,2021-05-18 07:34:00,2024-08-19 03:40:09,guanquann/Stocksera,active,,2022-11-08 02:54:07.809386\nfili,https://github.com/yahoo/fili,NEW,Data,2024-11-22 04:16:32,174.0,96.0,36.0,2016-06-10 22:07:59,2023-07-10 20:17:43,yahoo/fili,active,,2021-11-09 01:47:51.283394\nPyPOTS,https://github.com/WenjieDu/PyPOTS,NEW,Data,2024-12-28 14:48:17,1179.0,120.0,14.0,2022-03-29 14:22:47,2024-11-25 17:13:43,WenjieDu/PyPOTS,active,,2022-09-06 03:40:54.681386\nInteractiveVis,https://github.com/oxfordinternetinstitute/InteractiveVis,NEW,Data,2024-10-13 21:02:08,130.0,51.0,3.0,2012-05-24 15:54:46,2015-10-16 11:13:41,oxfordinternetinstitute/InteractiveVis,inactive,,2021-11-09 01:47:51.283394\nNon-financial Corporate,http://raw.rutgers.edu/Non-Financial%20Corporate%20Data.html,,Data,,,,,,,,,,\nfhe-toolkit-linux,https://github.com/IBM/fhe-toolkit-linux,NEW,Data,2024-12-26 18:48:13,1442.0,160.0,15.0,2020-05-04 21:32:24,2024-08-05 18:34:00,IBM/fhe-toolkit-linux,active,,2021-11-09 01:47:51.283394\npysec,https://github.com/lukerosiak/pysec,NEW,Data,2024-11-21 00:22:07,345.0,147.0,2.0,2013-05-04 23:03:02,2014-01-22 21:15:22,lukerosiak/pysec,inactive,,2021-11-09 01:47:51.283394\nspringMvcPlusMongo,https://github.com/caijiahao/springMvcPlusMongo,NEW,Data,2024-12-16 12:36:31,160.0,75.0,1.0,2016-11-11 06:17:47,2016-12-22 04:08:01,caijiahao/springMvcPlusMongo,inactive,,2021-11-09 01:47:51.283394\nkerf1,https://github.com/kevinlawler/kerf1,NEW,Data,2024-11-09 07:24:12,540.0,39.0,6.0,2015-04-08 12:40:49,2024-09-03 23:20:03,kevinlawler/kerf1,active,,2023-03-14 01:58:21.371806\nTAcharts,https://github.com/cartercarlson/TAcharts,NEW,Data,2024-08-12 19:52:39,155.0,37.0,3.0,2019-09-05 00:02:11,2023-01-01 19:02:35,pegahcarter/TAcharts,active,,2022-02-15 02:01:11.565985\nSKAB,https://github.com/waico/SKAB,NEW,Data,2024-12-28 10:38:35,334.0,55.0,7.0,2020-07-19 06:15:02,2024-08-11 20:53:38,waico/SKAB,active,,2021-12-21 01:58:14.409860\nPIXIU,https://github.com/The-FinAI/PIXIU,NEW,Data,2024-12-28 17:20:58,576.0,71.0,13.0,2023-06-02 02:59:15,2024-10-18 02:28:37,The-FinAI/PIXIU,active,,2024-02-20 01:39:37.489180\nqf-lib,https://github.com/quarkfin/qf-lib,NEW,Data,2024-12-25 18:31:39,561.0,71.0,11.0,2019-08-16 09:10:20,2024-12-12 15:33:48,quarkfin/qf-lib,active,,2022-10-04 03:06:14.669688\ncoinbash,https://github.com/8go/coinbash,NEW,Data,2024-11-14 18:58:36,133.0,25.0,1.0,2017-12-04 12:58:24,2022-05-17 17:15:47,8go/coinbash,inactive,,2021-11-30 01:42:39.267564\njquery-validation-unobtrusive,https://github.com/aspnet/jquery-validation-unobtrusive,NEW,Data,2024-12-12 17:57:07,257.0,114.0,19.0,2014-10-14 16:00:23,2024-09-27 21:29:54,aspnet/jquery-validation-unobtrusive,active,,2021-11-09 01:47:51.283394\nsec-api-python,https://github.com/janlukasschroeder/sec-api-python,NEW,Data,2024-12-26 21:23:41,195.0,24.0,1.0,2021-06-12 15:49:41,2024-10-16 15:04:03,janlukasschroeder/sec-api-python,active,,2023-09-26 01:42:49.590619\ntelemanom,https://github.com/khundman/telemanom,NEW,Data,2024-12-27 02:52:05,1048.0,253.0,6.0,2018-06-01 20:33:20,2020-07-12 21:01:07,khundman/telemanom,inactive,,2021-11-09 01:47:51.283394\npystore,https://github.com/ranaroussi/pystore,NEW,Data,2024-12-23 06:03:13,567.0,101.0,5.0,2018-05-26 20:38:44,2024-07-10 10:11:01,ranaroussi/pystore,active,,2021-11-09 01:47:51.283394\ncrypto_identifier,https://github.com/Acceis/crypto_identifier,NEW,Data,2024-10-03 13:01:37,122.0,24.0,1.0,2017-11-30 13:04:49,2018-01-04 11:04:44,Acceis/crypto_identifier,inactive,,2021-11-09 01:47:51.283394\npump-and-dump-dataset,https://github.com/SystemsLab-Sapienza/pump-and-dump-dataset,NEW,Data,2024-12-24 17:40:57,104.0,28.0,2.0,2020-10-22 08:03:13,2021-11-23 14:21:39,SystemsLab-Sapienza/pump-and-dump-dataset,inactive,,2024-06-25 01:29:15.306307\nVisualis,https://github.com/WeBankFinTech/Visualis,NEW,Data,2024-12-27 09:13:48,262.0,126.0,19.0,2019-11-26 02:47:29,2024-12-27 09:13:29,WeBankFinTech/Visualis,active,,2021-12-28 01:54:48.452850\ngriddb,https://github.com/griddb/griddb,NEW,Data,2024-12-26 23:46:42,2393.0,5013.0,7.0,2016-02-24 06:31:40,2024-11-13 04:15:54,griddb/griddb,active,,2021-11-09 01:47:51.283394\ntsgm,https://github.com/AlexanderVNikitin/tsgm,NEW,Data,2024-12-27 09:15:23,143.0,17.0,5.0,2022-06-03 08:35:31,2024-08-16 14:41:35,AlexanderVNikitin/tsgm,active,,2024-05-14 01:27:29.944051\nFlashDB,https://github.com/armink/FlashDB,NEW,Data,2024-12-27 05:50:10,1958.0,443.0,47.0,2020-05-24 10:15:56,2024-12-26 04:19:32,armink/FlashDB,active,,2021-11-09 01:47:51.283394\nfinance-go,https://github.com/piquette/finance-go,NEW,Data,2024-12-27 18:10:18,732.0,100.0,6.0,2018-02-04 21:06:17,2023-08-07 03:39:03,piquette/finance-go,active,,2021-11-09 01:47:51.283394\nEarningsCall_Dataset,https://github.com/GeminiLn/EarningsCall_Dataset,NEW,Data,2024-12-26 16:00:19,133.0,29.0,1.0,2019-05-30 02:30:24,2022-08-04 21:30:01,GeminiLn/EarningsCall_Dataset,inactive,,2023-11-21 01:54:27.077867\nangular-chartjs,https://github.com/pipefail/angular-chartjs,NEW,Data,2024-09-23 10:25:17,145.0,37.0,6.0,2013-09-17 06:01:13,2015-09-25 19:49:00,txbm/angular-chartjs,inactive,,2021-11-09 01:47:51.283394\nPyRate,https://github.com/GeoscienceAustralia/PyRate,NEW,Data,2024-12-22 01:39:15,207.0,71.0,16.0,2015-05-25 02:12:46,2022-02-25 04:08:37,GeoscienceAustralia/PyRate,inactive,,2021-11-09 01:47:51.283394\nrisingwave,https://github.com/risingwavelabs/risingwave,NEW,Data,2024-12-28 13:54:09,7197.0,595.0,169.0,2022-01-28 12:58:03,2024-12-27 12:21:49,risingwavelabs/risingwave,active,,2024-08-06 01:29:24.139293\nMAD-GANs,https://github.com/LiDan456/MAD-GANs,NEW,Data,2024-12-26 08:28:56,532.0,163.0,1.0,2019-01-09 02:16:28,2019-01-17 02:58:14,LiDan456/MAD-GANs,inactive,,2021-11-09 01:47:51.283394\nEEG-Transformer,https://github.com/zwcolin/EEG-Transformer,NEW,Data,2024-12-05 13:24:55,163.0,20.0,1.0,2022-02-19 03:18:33,2024-11-29 19:46:52,zwcolin/EEG-Transformer,active,,2023-12-12 01:50:51.536824\nchart-fx,https://github.com/GSI-CS-CO/chart-fx,NEW,Data,2024-12-28 23:32:08,516.0,94.0,27.0,2019-05-07 12:13:31,2024-11-04 09:59:10,fair-acc/chart-fx,active,,2021-11-09 01:47:51.283394\nEDGAR,https://github.com/bellingcat/EDGAR,NEW,Data,2024-12-27 05:34:29,143.0,16.0,8.0,2023-10-25 18:13:30,2024-10-28 10:17:00,bellingcat/EDGAR,active,,2024-08-13 01:29:31.912650\nfull_fred,https://github.com/7astro7/full_fred,NEW,Data,2024-12-28 14:17:22,104.0,27.0,1.0,2021-03-15 22:56:40,2024-12-28 14:17:06,7astro7/full_fred,active,,2024-04-30 01:25:49.128747\nfunda-scraper,https://github.com/whchien/funda-scraper,NEW,Data,2024-12-23 12:14:23,116.0,56.0,11.0,2022-09-12 18:53:46,2024-11-21 17:06:36,whchien/funda-scraper,active,,2024-08-20 01:29:22.120538\nDataFX,https://github.com/guigarage/DataFX,NEW,Data,2024-11-29 02:50:28,116.0,32.0,5.0,2017-01-16 18:52:23,2018-05-23 20:11:54,guigarage/DataFX,inactive,,2021-11-09 01:47:51.283394\nACT,https://github.com/ARM-DOE/ACT,NEW,Data,2024-12-23 17:00:10,154.0,37.0,14.0,2019-03-11 15:19:03,2024-12-19 16:55:48,ARM-DOE/ACT,active,,2023-01-17 02:12:00.726880\ntrendet,https://github.com/alvarobartt/trendet,NEW,Data,2024-12-26 08:12:36,465.0,81.0,0.0,2019-08-09 17:40:41,2020-06-28 17:25:32,alvarobartt/trendet,inactive,,2021-11-09 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10:28:38,twelvedata/twelvedata-python,active,,2021-11-09 01:47:51.283394\nvenice,https://github.com/useVenice/venice,NEW,Data,2024-12-18 23:12:57,140.0,11.0,7.0,2022-08-10 03:19:47,2024-04-02 00:44:42,useVenice/venice,active,,2023-02-07 02:10:07.223310\nsec-parser,https://github.com/alphanome-ai/sec-parser,NEW,Data,2024-12-27 15:05:13,169.0,51.0,10.0,2023-09-09 15:13:18,2024-07-13 17:27:07,alphanome-ai/sec-parser,active,,2024-06-11 01:29:18.377529\nGLMsingle,https://github.com/cvnlab/GLMsingle,NEW,Data,2024-12-25 04:12:37,104.0,45.0,12.0,2021-05-05 17:17:55,2024-10-27 00:10:27,cvnlab/GLMsingle,active,,2024-11-05 01:30:26.243852\nlogisland,https://github.com/Hurence/logisland,NEW,Data,2024-10-15 03:46:37,110.0,29.0,20.0,2016-02-02 10:27:21,2023-01-24 08:45:19,Hurence/logisland,active,,2021-11-09 01:47:51.283394\ncryptomator,https://github.com/cryptomator/cryptomator,NEW,Data,2024-12-28 20:05:29,12041.0,1047.0,58.0,2014-02-02 00:43:47,2024-12-11 14:42:09,cryptomator/cryptomator,active,,2024-10-22 01:30:14.221824\ntime_series,https://github.com/Open-Power-System-Data/time_series,NEW,Data,2024-12-19 12:45:42,125.0,40.0,8.0,2015-10-30 14:58:41,2020-10-06 17:56:21,Open-Power-System-Data/time_series,inactive,,2023-01-10 02:17:28.062328\nFTC-Skystone-Dark-Angels-Romania-2020,https://github.com/chrisneagu/FTC-Skystone-Dark-Angels-Romania-2020,NEW,Data,2024-12-27 08:40:10,178.0,60.0,1.0,2021-03-08 11:34:11,2021-03-08 11:45:12,chrisneagu/FTC-Skystone-Dark-Angels-Romania-2020,inactive,,2024-02-27 01:38:42.730901\nmstables,https://github.com/caiobran/mstables,NEW,Data,2024-11-29 16:22:10,181.0,46.0,3.0,2019-02-20 21:00:59,2023-07-27 21:39:51,caiobran/mstables,active,,2021-12-14 01:56:12.697043\nLSTM-Neural-Network-for-Time-Series-Prediction,https://github.com/jaungiers/LSTM-Neural-Network-for-Time-Series-Prediction,NEW,Data,2024-12-28 22:44:31,4867.0,1963.0,1.0,2016-12-18 16:26:20,2019-04-30 15:05:34,jaungiers/LSTM-Neural-Network-for-Time-Series-Prediction,inactive,,2021-11-09 01:47:51.283394\nCalendarHeatmap,https://github.com/Zacharysp/CalendarHeatmap,NEW,Data,2024-12-12 01:22:36,199.0,24.0,2.0,2020-03-03 07:38:52,2020-10-20 22:38:25,Zacharysp/CalendarHeatmap,inactive,,2021-11-09 01:47:51.283394\ntsfeatures,https://github.com/Nixtla/tsfeatures,NEW,Data,2024-12-28 05:10:45,375.0,44.0,5.0,2019-11-20 17:29:55,2024-04-16 00:34:18,Nixtla/tsfeatures,active,,2022-08-02 03:26:48.666043\nTime-Series-Transformer,https://github.com/allen-chiang/Time-Series-Transformer,NEW,Data,2024-12-18 08:37:22,218.0,38.0,3.0,2020-03-23 13:04:19,2021-01-11 17:36:11,allen-chiang/Time-Series-Transformer,inactive,,2021-11-23 01:48:03.916510\nkalmangrad,https://github.com/hugohadfield/kalmangrad,NEW,Data,2024-12-23 19:44:05,224.0,7.0,1.0,2024-10-16 18:33:24,2024-10-20 13:47:44,hugohadfield/kalmangrad,active,,2024-10-22 01:30:14.221824\nbacktesting-for-cryptocurrency-trading,https://github.com/CyberPunkMetalHead/backtesting-for-cryptocurrency-trading,NEW,Data,2024-12-05 17:35:31,171.0,45.0,1.0,2021-06-12 16:18:50,2021-06-20 11:52:38,CyberPunkMetalHead/backtesting-for-cryptocurrency-trading,inactive,,2021-11-09 01:47:51.283394\nagora,https://github.com/hp4k1h5/agora,NEW,Data,2024-10-04 14:30:39,100.0,14.0,1.0,2020-07-30 17:36:21,2022-01-13 19:14:55,hp4k1h5/agora,inactive,,2024-10-08 01:31:05.112901\npy-sec-edgar,https://github.com/ryansmccoy/py-sec-edgar,NEW,Data,2024-12-26 22:31:43,105.0,17.0,3.0,2018-05-30 20:11:28,2022-03-01 18:13:21,ryansmccoy/py-sec-edgar,inactive,,2024-11-19 01:32:01.579868\ncausalai,https://github.com/salesforce/causalai,NEW,Data,2024-12-19 17:41:29,267.0,28.0,3.0,2022-11-21 18:20:58,2023-09-22 19:29:38,salesforce/causalai,active,,2023-02-07 02:10:07.223310\njhTAlib,https://github.com/joosthoeks/jhTAlib,NEW,Data,2024-11-15 21:48:48,154.0,44.0,1.0,2016-10-01 20:32:21,2024-09-02 12:47:18,joosthoeks/jhTAlib,active,,2021-11-09 01:47:51.283394\nAdvanced ML,https://github.com/BlackArbsCEO/Adv_Fin_ML_Exercises,Exercises to book [advances in financial machine learning](https://www.wiley.com/en-us/Advances+in+Financial+Machine+Learning-p-9781119482109). Relevant topics include data cleaning and outlier detection (using MAD),Data Processing Techniques and Transformations,2024-12-25 06:49:12,1728.0,635.0,4.0,2018-04-25 17:22:40,2020-01-16 17:25:41,BlackArbsCEO/Adv_Fin_ML_Exercises,inactive,4.0,\nCryptoNets,https://github.com/microsoft/CryptoNets,CryptoNets is a demonstration of the use of Neural-Networks over data encrypted with [Homomorphic Encryption](https://www.cs.cmu.edu/~odonnell/hits09/gentry-homomorphic-encryption.pdf). Homomorphic Encryptions allow performing operations such as addition and multiplication over data while it is encrypted.,Data Processing Techniques and Transformations,2024-12-28 17:31:36,287.0,72.0,7.0,2019-06-02 05:48:39,2022-09-09 15:57:24,microsoft/CryptoNets,inactive,2.0,12:49.2\nfinserv-application-blueprint,https://github.com/mapr-demos/finserv-application-blueprint,generate streamable data using mapr converged data platfrom built mostly in java. Uses apache [zepplin](https://zeppelin.apache.org/) for web visualization ,Data Processing Techniques and Transformations,2024-04-28 02:06:53,84.0,62.0,5.0,2016-09-26 19:42:54,2021-06-07 17:38:13,mapr-demos/finserv-application-blueprint,inactive,2.0,12:49.2\nTwitter-Trends,https://github.com/Medha11/Twitter-Trends,sentiment analysis baed on twitter data. Relevant topics include data cleaning/tokenization/data aggregation using mangodb etc.,Data Processing Techniques and Transformations,2024-11-26 03:51:53,101.0,27.0,1.0,2017-05-22 17:07:45,2017-05-23 08:06:27,Medha11/Twitter-Trends,inactive,3.0,12:49.2\nninjabook,https://github.com/ninja-quant/ninjabook,NEW,Data Processing Techniques and Transformations,2024-12-16 01:23:21,161.0,17.0,1.0,2024-04-10 01:01:10,2024-11-12 10:35:37,ninja-quant/ninjabook,active,,2024-04-23 01:45:19.855231\nGoogle-Finance-Stock-Data-Analysis,https://github.com/hpnhxxwn/Google-Finance-Stock-Data-Analysis,data processing platform which stream data from kafka. The example shows two incoming data stream stock vs tweets and two spark streams are created to consume the kafka data then end results are stored in cassandra. Older tech stacks were used and not actively maintained.,Data Processing Techniques and Transformations,2024-07-23 15:43:05,82.0,11.0,1.0,2017-07-23 02:59:59,2017-07-23 03:10:35,hpnhxxwn/Google-Finance-Stock-Data-Analysis,inactive,3.0,12:49.2\ncointrader,https://github.com/timolson/cointrader,java based platform for trading crypto. Relevant sections including using esper event queries to transform data and place orders,Data Processing Techniques and Transformations,2024-11-09 17:59:10,454.0,166.0,10.0,2014-06-01 01:14:12,2022-06-21 01:03:49,timolson/cointrader,inactive,2.0,12:49.2\ndragonflybot,https://github.com/jmakov/dragonflybot,NEW,Data Processing Techniques and Transformations,2024-12-13 13:07:37,54.0,9.0,1.0,2023-06-17 19:38:16,2023-07-10 23:45:44,jmakov/dragonflybot,active,,2024-10-08 01:31:13.819547\nplaid-to-gsheets,https://github.com/williamlmao/plaid-to-gsheets,NEW,Data Processing Techniques and Transformations,2024-12-27 00:28:51,76.0,4.0,1.0,2021-12-12 19:53:14,2023-02-03 15:36:49,williamlmao/plaid-to-gsheets,active,,2024-01-02 01:47:44.085225\nMajor-project-list,https://github.com/ManojKumarPatnaik/Major-project-list,NEW,Data Processing Techniques and Transformations,2024-12-25 23:37:51,141.0,27.0,4.0,2021-09-04 11:17:44,2024-09-07 15:22:27,ManojKumarPatnaik/Major-project-list,active,,2023-10-31 01:43:26.040727\ntrading-bot,https://github.com/pskrunner14/trading-bot,Implementation of deep reinforcement learning using Deep Q Network (DQN). Only supports single security at the moment. Idea is roughly based [here](https://keon.github.io/deep-q-learning/) and uses tensorflow/keras. Interesting helper python libraries used here are [tqdm](https://tqdm.github.io/) for console based progress bar and [altair](https://altair-viz.github.io/) for declarative visualization in python ,Deep Learning And Reinforcement Learning,2024-12-26 15:29:30,1000.0,343.0,1.0,2018-08-13 10:44:08,2020-01-23 04:41:20,pskrunner14/trading-bot,inactive,3.0,3/31/21 8:00\ndeep-RL-trading,https://github.com/golsun/deep-RL-trading,trading game comparing RNN vs CNN vs MLP based on [paper](https://arxiv.org/abs/1803.03916),Deep Learning And Reinforcement Learning,2024-12-13 04:19:54,357.0,123.0,1.0,2018-02-25 17:41:42,2020-12-01 22:06:39,golsun/deep-RL-trading,inactive,3.0,3/31/21 8:00\nStarTrader,https://github.com/jiewwantan/StarTrader,NEW,Deep Learning And Reinforcement Learning,2024-12-14 02:04:10,105.0,42.0,1.0,2019-03-04 04:38:15,2019-09-12 21:24:15,jiewwantan/StarTrader,inactive,,2023-07-18 02:29:48.360767\nRL II,https://github.com/deependersingla/deep_trader,reinforcement learning on stock market and agent tries to learn trading.,Deep Learning And Reinforcement Learning,2024-12-27 21:15:28,1464.0,505.0,3.0,2016-06-11 07:27:10,2018-01-22 14:35:50,deependersingla/deep_trader,inactive,3.0,\nBitcoinForecast,https://github.com/PiSimo/BitcoinForecast,RNN model to predict short term price movement (in this case BTC for the next 9 minutes) [deepchart](https://pisimo.github.io/DeepChart/) is used to visualize the model ,Deep Learning And Reinforcement Learning,2024-12-28 23:32:36,355.0,141.0,2.0,2017-03-10 10:52:02,2018-06-11 08:07:02,PiSimo/BitcoinForecast,inactive,3.0,3/31/21 8:00\nawesome-deep-trading,https://github.com/cbailes/awesome-deep-trading,curated list of papers/repos on topics like CNN/LSTM/GAN/Reinforcement Learning etc. Categorized as deep learning for now but there are other topics here. Manually maintained by cbailes,Deep Learning And Reinforcement Learning,2024-12-28 22:25:30,1532.0,310.0,1.0,2018-11-26 03:23:04,2021-01-01 09:41:21,cbailes/awesome-deep-trading,inactive,4.0,3/31/21 8:00\nLTSM Recurrent,https://github.com/VivekPa/AIAlpha,OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network.,Deep Learning And Reinforcement Learning,2024-12-27 14:06:14,1748.0,447.0,2.0,2018-10-07 03:58:26,2019-08-03 09:00:44,VivekPa/AIAlpha,inactive,4.0,\nAI Trading,https://github.com/borisbanushev/stockpredictionai/blob/master/readme2.md,AI to predict stock market movements.,Deep Learning And Reinforcement Learning,2024-12-27 01:15:57,4376.0,1696.0,1.0,2019-01-09 08:02:47,2019-02-11 16:32:47,borisbanushev/stockpredictionai,inactive,5.0,\nRLQuant,https://github.com/yuriak/RLQuant,NEW,Deep Learning And Reinforcement Learning,2024-12-24 10:49:04,345.0,105.0,1.0,2018-04-05 05:42:44,2018-08-13 04:18:29,yuriak/RLQuant,inactive,,39:11.1\ngym-continuousDoubleAuction,https://github.com/ChuaCheowHuan/gym-continuousDoubleAuction,NEW,Deep Learning And Reinforcement Learning,2024-11-20 02:14:38,142.0,31.0,2.0,2019-07-20 14:53:16,2020-07-22 04:22:36,ChuaCheowHuan/gym-continuousDoubleAuction,inactive,,2022-07-26 03:23:47.421493\ntrading-rl,https://github.com/Kostis-S-Z/trading-rl,Deep reinforcement learning for financial trading using [gym](https://gym.openai.com/) and [keras-rl](https://github.com/keras-rl/keras-rl) on FX dataset (EURUSD) not actively maintained,Deep Learning And Reinforcement Learning,2024-11-13 16:26:55,218.0,45.0,2.0,2019-04-22 10:03:21,2020-09-28 09:07:18,Kostis-S-Z/trading-rl,inactive,3.0,3/31/21 8:00\nDQN-DDPG_Stock_Trading,https://github.com/AI4Finance-LLC/DQN-DDPG_Stock_Trading,merged into FinRL library and uses [gym](https://gym.openai.com/) and implementation of DQN,Deep Learning And Reinforcement Learning,2024-12-28 12:49:52,865.0,350.0,12.0,2018-09-19 03:17:06,2024-03-15 13:46:17,AI4Finance-Foundation/FinRL-Tutorials,active,3.0,3/31/21 8:00\nRL,https://github.com/kh-kim/stock_market_reinforcement_learning,OpenGym with Deep Q-learning and Policy Gradient.,Deep Learning And Reinforcement Learning,2024-12-22 14:10:17,792.0,320.0,1.0,2016-10-04 14:42:19,2016-12-23 07:34:08,kh-kim/stock_market_reinforcement_learning,inactive,2.0,\ngym-trading,https://github.com/hackthemarket/gym-trading,NEW,Deep Learning And Reinforcement Learning,2024-12-13 04:19:49,704.0,213.0,2.0,2016-12-09 20:46:19,2017-12-24 15:34:37,hackthemarket/gym-trading,inactive,,39:11.1\nTrading-Gym,https://github.com/thedimlebowski/Trading-Gym,NEW,Deep Learning And Reinforcement Learning,2024-12-13 04:19:51,550.0,160.0,3.0,2017-06-13 13:14:48,2017-07-10 08:09:30,thedimlebowski/Trading-Gym,inactive,,39:11.1\nTradingGym,https://github.com/cove9988/TradingGym,NEW,Deep Learning And Reinforcement Learning,2024-12-23 00:06:41,213.0,57.0,5.0,2017-11-06 00:50:01,2024-09-23 00:44:41,cove9988/TradingGym,active,,39:11.1\nStock-Prediction-Models,https://github.com/huseinzol05/Stock-Prediction-Models,very good curated list of notebooks showing deep learning + reinforcement learning models. Also contain topics on outlier detections/overbought oversold study/monte carlo simulartions/sentiment analysis from text (text storage/parsing is not detailed but it mentioned using [BERT](https://github.com/google-research/bert)),Deep Learning And Reinforcement Learning,2024-12-28 16:18:34,8194.0,2859.0,2.0,2017-12-18 10:49:59,2021-01-05 10:31:50,huseinzol05/Stock-Prediction-Models,inactive,5.0,3/31/21 8:00\nRL III,https://github.com/samre12/deep-trading-agent,Github -Deep Reinforcement Learning based Trading Agent for Bitcoin.,Deep Learning And Reinforcement Learning,2024-12-27 21:47:17,758.0,211.0,1.0,2017-09-21 17:05:19,2018-04-13 16:33:21,samre12/deep-trading-agent,inactive,3.0,\nAlphaTrade,https://github.com/KangOxford/AlphaTrade,NEW,Deep Learning And Reinforcement Learning,2024-12-20 02:14:14,107.0,19.0,3.0,2022-04-21 13:01:45,2023-11-28 19:28:48,KangOxford/AlphaTrade,active,,2024-10-15 01:31:39.931787\nDeep-Reinforcement-Learning-in-Trading,https://github.com/saeed349/Deep-Reinforcement-Learning-in-Trading,Deep reinforcement learning for trading leveraging [openai gym](https://gym.openai.com/) framework. Keras implementation of DQN DDQN (double deep Q network) and DDDQN (dueling double dqn) trained/tested on s&p 500 daily data from 2013 to 2018. approach is described in an article [here](https://www.linkedin.com/pulse/deep-reinforcement-learning-trading-saeed-rahman),Deep Learning And Reinforcement Learning,2024-12-17 21:43:17,209.0,86.0,1.0,2018-05-11 00:52:14,2019-10-26 14:22:44,saeed349/Deep-Reinforcement-Learning-in-Trading,inactive,3.0,3/31/21 8:00\ndeep-learning-for-finance,https://github.com/sofienkaabar/deep-learning-for-finance,NEW,Deep Learning And Reinforcement Learning,2024-12-26 22:00:28,120.0,51.0,1.0,2023-02-23 18:20:32,2024-11-22 09:50:12,sofienkaabar/deep-learning-for-finance,active,,2024-10-29 01:30:43.425330\nAutomatedStockTrading-DeepQ-Learning,https://github.com/sachink2010/AutomatedStockTrading-DeepQ-Learning,cornerstone project repo for Udacity nanodegree program [Become a machine learning engineer](https://www.udacity.com/course/machine-learning-engineer-nanodegree--nd009t) and focus on trading using deep q learning. Good explanation on design choices in the report,Deep Learning And Reinforcement Learning,2024-12-05 17:35:12,263.0,79.0,2.0,2019-02-23 12:01:21,2021-08-31 15:34:07,sachink2010/AutomatedStockTrading-DeepQ-Learning,inactive,3.0,3/31/21 8:00\nDeep_Learning_Machine_Learning_Stock,https://github.com/LastAncientOne/Deep_Learning_Machine_Learning_Stock,NEW,Deep Learning And Reinforcement Learning,2024-12-28 16:40:57,1267.0,320.0,1.0,2018-09-29 23:38:06,2024-03-01 00:12:23,LastAncientOne/Deep_Learning_Machine_Learning_Stock,active,,2023-02-14 02:18:17.230806\nTradeMaster,https://github.com/TradeMaster-NTU/TradeMaster,NEW,Deep Learning And Reinforcement Learning,2024-12-28 19:45:53,1475.0,300.0,12.0,2022-08-23 13:02:43,2024-10-29 07:07:59,TradeMaster-NTU/TradeMaster,active,,2023-03-14 01:58:54.081796\nTradingGym,https://github.com/Yvictor/TradingGym,NEW,Deep Learning And Reinforcement Learning,2024-12-26 14:33:09,1614.0,353.0,3.0,2017-05-01 13:53:32,2023-08-12 05:37:32,Yvictor/TradingGym,active,,39:11.1\nRL-Bitcoin-trading-bot,https://github.com/pythonlessons/RL-Bitcoin-trading-bot,NEW,Deep Learning And Reinforcement Learning,2024-12-18 14:15:23,389.0,204.0,1.0,2020-12-02 06:07:14,2023-11-24 10:30:07,pythonlessons/RL-Bitcoin-trading-bot,active,,2021-11-09 01:48:11.420110\nreinforcement_learning_financial_trading,https://github.com/matlab-deep-learning/reinforcement_learning_financial_trading,NEW,Deep Learning And Reinforcement Learning,2024-12-22 16:59:33,158.0,42.0,1.0,2020-02-04 13:06:40,2024-03-07 02:11:19,matlab-deep-learning/reinforcement_learning_financial_trading,active,,2022-08-09 03:05:52.058925\nIPythonScripts,https://github.com/mgroncki/IPythonScripts,NEW,Deep Learning And Reinforcement Learning,2024-12-17 09:36:20,151.0,70.0,1.0,2013-08-18 16:26:25,2018-11-18 10:43:05,mgroncki/IPythonScripts,inactive,,2023-01-31 02:16:46.506883\nRL Trading,https://colab.research.google.com/drive/1FzLCI0AO3c7A4bp9Fi01UwXeoc7BN8sW,A collection of 25+ Reinforcement Learning Trading Strategies -Google Colab.,Deep Learning And Reinforcement Learning,,,,,,,,,4.0,\nstock-prediction-deep-neural-learning,https://github.com/JordiCorbilla/stock-prediction-deep-neural-learning,NEW,Deep Learning And Reinforcement Learning,2024-12-28 01:36:16,533.0,114.0,1.0,2020-07-01 17:31:42,2024-01-03 19:18:12,JordiCorbilla/stock-prediction-deep-neural-learning,active,,2021-11-23 01:48:24.660467\nRL IV,https://github.com/jjakimoto/DQN,Reinforcement Learning for finance.,Deep Learning And Reinforcement Learning,2024-12-19 12:03:34,183.0,61.0,1.0,2016-10-21 02:47:17,2017-04-07 08:11:57,jjakimoto/DQN,inactive,,\nAn-Application-of-Deep-Reinforcement-Learning-to-Algorithmic-Trading,https://github.com/ThibautTheate/An-Application-of-Deep-Reinforcement-Learning-to-Algorithmic-Trading,NEW,Deep Learning And Reinforcement Learning,2024-12-17 20:00:40,182.0,91.0,1.0,2020-10-05 09:09:24,2020-10-06 13:32:48,ThibautTheate/An-Application-of-Deep-Reinforcement-Learning-to-Algorithmic-Trading,inactive,,2022-07-26 03:23:47.421493\nRL V,https://github.com/gstenger98/rl-finance,Building an Agent to Trade with Reinforcement Learning.,Deep Learning And Reinforcement Learning,2024-06-05 07:24:15,40.0,10.0,5.0,2019-01-16 00:43:36,2020-03-19 20:28:08,GrantStenger/rl-finance,inactive,2.0,\nPair Trading RL,https://github.com/shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading,Using deep actor-critic model to learn best strategies in pair trading.,Deep Learning And Reinforcement Learning,2024-12-13 05:49:27,310.0,125.0,1.0,2017-05-18 16:47:11,2017-05-18 16:56:38,shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading,inactive,3.0,\nDeep Learning III,https://github.com/Rachnog/Deep-Trading,Algorithmic trading with deep learning experiments.,Deep Learning And Reinforcement Learning,2024-12-19 09:18:46,1431.0,694.0,1.0,2016-06-18 18:23:06,2018-08-07 15:24:45,Rachnog/Deep-Trading,inactive,5.0,\nFinRL,https://github.com/AI4Finance-LLC/FinRL,NEW,Deep Learning And Reinforcement Learning,2024-12-28 20:07:24,10306.0,2473.0,110.0,2020-07-26 13:18:16,2024-12-27 02:18:56,AI4Finance-Foundation/FinRL,active,,13:03.7\nAdvanced-Deep-Trading,https://github.com/Rachnog/Advanced-Deep-Trading,\"notebooks containing experiments based on Lopez de Prado book \"\"Advances in financial machine learning\"\". Mostly not deep learning related but rather sklearn regression models. Interesting libraries include [mlfinlab](https://github.com/hudson-and-thames/mlfinlab) for calculating return stats and [shap](https://github.com/slundberg/shap) for explaining models. Examlpe of shap can be which features are pushing the value up and and which features are pushing the value down. Also contain functions for calculating geometric brownian motion and jump diffusion functions. \",Deep Learning And Reinforcement Learning,2024-12-13 04:19:58,542.0,217.0,2.0,2019-02-16 21:18:00,2020-11-29 20:12:59,Rachnog/Advanced-Deep-Trading,inactive,3.0,3/31/21 8:00\nDeep-Reinforcement-Stock-Trading,https://github.com/Albert-Z-Guo/Deep-Reinforcement-Stock-Trading,inspired by Q-trader a deep reinforcement learning repo for trading. Only 3 actions allowed (buy/hold/sell) and no transaction cost is implemented yet. Uses [empyrical](https://github.com/quantopian/empyrical) for portfolio stats,Deep Learning And Reinforcement Learning,2024-12-26 11:45:48,611.0,140.0,3.0,2019-05-19 22:20:05,2024-11-06 17:33:17,Albert-Z-Guo/Deep-Reinforcement-Stock-Trading,active,3.0,3/31/21 8:00\ntensortrade,https://github.com/tensortrade-org/tensortrade,NEW,Deep Learning And Reinforcement Learning,2024-12-27 17:49:19,4600.0,1034.0,45.0,2019-07-30 21:28:32,2024-06-09 21:29:43,tensortrade-org/tensortrade,active,,39:11.1\nFinRock,https://github.com/pythonlessons/FinRock,NEW,Deep Learning And Reinforcement Learning,2024-12-05 09:28:30,103.0,26.0,1.0,2023-10-23 07:44:54,2024-01-30 12:59:56,pythonlessons/FinRock,active,,2024-11-26 01:31:15.842895\nARIMA-LTSM Hybrid,https://github.com/imhgchoi/Corr_Prediction_ARIMA_LSTM_Hybrid,Hybrid model to predict future price correlation coefficients of two assets.,Deep Learning And Reinforcement Learning,2024-12-26 16:45:22,405.0,128.0,1.0,2018-08-05 02:13:21,2018-10-01 11:25:53,imhgchoi/ARIMA-LSTM-hybrid-corrcoef-predict,inactive,3.0,\nslow-momentum-fast-reversion,https://github.com/kieranjwood/slow-momentum-fast-reversion,NEW,Deep Learning And Reinforcement Learning,2024-12-27 20:51:00,236.0,90.0,1.0,2021-06-27 14:49:05,2022-11-24 10:59:47,kieranjwood/slow-momentum-fast-reversion,inactive,,2022-11-29 02:22:22.902449\na3c_trading,https://github.com/evgps/a3c_trading,NEW,Deep Learning And Reinforcement Learning,2024-12-18 01:18:47,427.0,126.0,1.0,2018-06-04 15:30:16,2023-01-24 01:52:36,evgps/a3c_trading,active,,39:11.1\nDeep Learning II,https://github.com/LiamConnell/deep-algotrading/tree/master/notebooks,Tensorflow Regression.,Deep Learning And Reinforcement Learning,2024-12-27 01:39:30,235.0,75.0,1.0,2016-07-12 12:56:10,2018-06-10 19:15:31,LiamConnell/deep-algotrading,inactive,3.0,\ntrials,https://github.com/The-FinAI/trials,NEW,Deep Learning And Reinforcement Learning,2024-12-15 00:46:46,114.0,30.0,3.0,2023-04-01 14:25:35,2023-08-31 16:16:25,The-FinAI/trials,active,,2024-06-18 01:30:17.095244\ncrypto-rl,https://github.com/sadighian/crypto-rl,Retrieve limit order book level data from coinbase pro and bitfinex -> record in [arctic](https://github.com/man-group/arctic) timeseries database then implemented trend following strategies (market orders) and market making (limit orders). Uses reinforcement learning (DQN) [keras-rl](https://github.com/keras-rl/keras-rl) to create agents and uses [openai gym](https://gym.openai.com/) to implement POMDP (partially observable markov decision process),Deep Learning And Reinforcement Learning,2024-12-28 00:05:49,866.0,237.0,3.0,2018-06-21 01:06:01,2021-11-30 13:52:18,sadighian/crypto-rl,inactive,3.0,3/31/21 8:00\nDeep-Learning-Machine-Learning-Stock,https://github.com/LastAncientOne/Deep-Learning-Machine-Learning-Stock,curated list of notebooks for machine learning models. Start with very simple linear models to more advanced reinforcement learning type of models. Problem with this repo is that the library version numbers may be changing over time and there's no specific way to track and upgrade,Deep Learning And Reinforcement Learning,2024-12-28 16:40:57,1267.0,320.0,1.0,2018-09-29 23:38:06,2024-03-01 00:12:23,LastAncientOne/Deep_Learning_Machine_Learning_Stock,active,3.0,3/31/21 8:00\nLTSM GRU,https://github.com/RajatHanda/Finance-Forecasting,Stock Market Forecasting using LSTM\\GRU.,Deep Learning And Reinforcement Learning,2024-10-09 20:51:39,25.0,9.0,1.0,2018-05-13 02:39:32,2019-02-25 00:26:42,RajatHanda/Finance-Forecasting,inactive,3.0,\nRLTrader,https://github.com/notadamking/RLTrader,predecessor to [tensortrade](https://github.com/tensortrade-org/tensortrade) uses open api [gym](https://gym.openai.com/) and neat way to render matplotlib plots in real time. Also explains LSTM/data stationarity/Bayesian optimization using [Optuna](https://github.com/optuna/optuna) etc.,Deep Learning And Reinforcement Learning,2024-12-27 17:49:15,1745.0,540.0,15.0,2019-04-27 18:35:15,2019-10-17 16:25:49,notadamking/RLTrader,inactive,5.0,3/31/21 8:00\nDeepLearningInFinance,https://github.com/sonaam1234/DeepLearningInFinance,Based on a [talk](https://towardsdatascience.com/deep-learning-in-finance-9e088cb17c03) Sonam Srivastava gave and there are two studies: 1. single timeseries return prediction using ARIMA/VAR/SVR/Deep Regression/CNN/LSTM 2. indexed portfolio construction using autoencoders i.e. replicate a index using handful of stocks. ,Deep Learning And Reinforcement Learning,2024-11-25 10:51:16,278.0,158.0,1.0,2017-08-21 16:00:42,2017-08-21 17:23:48,sonaam1234/DeepLearningInFinance,inactive,3.0,3/31/21 8:00\nNeural Network,https://github.com/VivekPa/IntroNeuralNetworks,Neural networks to predict stock prices.,Deep Learning And Reinforcement Learning,2024-12-24 16:29:55,743.0,205.0,2.0,2018-09-10 06:34:53,2018-11-21 07:39:31,VivekPa/IntroNeuralNetworks,inactive,4.0,\nDeep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020,https://github.com/AI4Finance-LLC/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020,Part of FinRL and provided code for paper [deep reinformacement learning for automated stock trading](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3690996) focuses on ensemble.,Deep Learning And Reinforcement Learning,2024-12-28 05:54:32,2142.0,754.0,9.0,2020-07-26 13:12:53,2024-07-01 08:09:06,AI4Finance-Foundation/FinRL-Trading,active,4.0,3/31/21 8:00\nReinforcement-Learning-for-Trading,https://github.com/nicknochnack/Reinforcement-Learning-for-Trading,NEW,Deep Learning And Reinforcement Learning,2024-12-28 04:18:52,134.0,116.0,1.0,2021-03-15 09:13:21,2021-03-15 09:16:53,nicknochnack/Reinforcement-Learning-for-Trading,inactive,,2023-09-05 01:39:59.871422\nmaro,https://github.com/microsoft/maro,NEW,Deep Learning And Reinforcement Learning,2024-12-23 12:02:29,863.0,155.0,22.0,2019-12-27 06:48:27,2023-10-30 10:34:18,microsoft/maro,active,,39:11.1\nFinRL-Library,https://github.com/AI4Finance-LLC/FinRL-Library,started by Columbia university engineering students and designed as an end to end deep reinforcement learning library for automated trading platform. Implementation of DQN DDQN DDPG etc using PyTorch and [gym](https://gym.openai.com/) use [pyfolio](https://github.com/quantopian/pyfolio) for showing backtesting stats. Big contributions on Proximal Policy Optimization (PPO) advantage actor critic (A2C) and Deep Deterministic Policy Gradient (DDPG) agents for trading,Deep Learning And Reinforcement Learning,2024-12-28 20:07:24,10306.0,2473.0,110.0,2020-07-26 13:18:16,2024-12-27 02:18:56,AI4Finance-Foundation/FinRL,active,5.0,3/31/21 8:00\nQLearning_Trading,https://github.com/ucaiado/QLearning_Trading,NEW,Deep Learning And Reinforcement Learning,2024-12-15 21:45:33,503.0,182.0,1.0,2016-08-10 06:02:23,2016-10-15 02:36:09,ucaiado/QLearning_Trading,inactive,,39:11.1\npairstrade-fyp-2019,https://github.com/wywongbd/pairstrade-fyp-2019,NEW,Deep Learning And Reinforcement Learning,2024-12-05 17:35:09,256.0,71.0,2.0,2018-09-07 07:51:06,2020-05-13 05:06:51,wywongbd/pairstrade-fyp-2019,inactive,,39:11.1\nPersonae,https://github.com/Ceruleanacg/Personae,implementation of deep reinforcement learning and supervised learnings covering areas: deep deterministic policy gradient (DDPG) and DDQN etc. Data are being pulled from [rqalpha](https://github.com/ricequant/rqalpha) which is a python backtest engine and have a nice docker image to run training/testing,Deep Learning And Reinforcement Learning,2024-12-20 05:44:44,1373.0,341.0,2.0,2018-03-10 11:22:00,2018-09-02 17:21:38,Ceruleanacg/Personae,inactive,5.0,3/31/21 8:00\nrl_trading,https://github.com/ucaiado/rl_trading,NEW,Deep Learning And Reinforcement Learning,2024-12-26 09:01:02,276.0,118.0,1.0,2017-05-29 22:19:00,2017-08-29 14:54:50,ucaiado/rl_trading,inactive,,39:11.1\nrl,https://github.com/druce/rl,NEW,Deep Learning And Reinforcement Learning,2024-09-22 07:46:34,105.0,27.0,2.0,2019-10-19 04:08:30,2023-08-25 18:34:01,druce/rl,active,,2023-11-14 01:44:53.161687\nPair-Trading-Reinforcement-Learning,https://github.com/wai-i/Pair-Trading-Reinforcement-Learning,NEW,Deep Learning And Reinforcement Learning,2024-12-03 19:08:01,9.0,1.0,1.0,2019-06-09 22:50:37,2023-07-16 17:00:56,wi-0/Pair-Trading-Reinforcement-Learning,active,,39:11.1\nDeep Learning,https://github.com/keon/deepstock,Technical experimentations to beat the stock market using deep learning.,Deep Learning And Reinforcement Learning,2024-11-29 17:36:36,470.0,156.0,2.0,2016-12-12 02:15:12,2017-03-04 08:37:29,keon/deepstock,inactive,4.0,\nfreqtrade-gym,https://github.com/hugocen/freqtrade-gym,NEW,Deep Learning And Reinforcement Learning,2024-12-17 12:24:31,222.0,45.0,2.0,2020-09-23 12:57:20,2021-10-11 07:36:32,hugocen/freqtrade-gym,inactive,,2021-11-09 01:48:11.420110\nMachine-Learning-and-Reinforcement-Learning-in-Finance,https://github.com/joelowj/Machine-Learning-and-Reinforcement-Learning-in-Finance,NEW,Deep Learning And Reinforcement Learning,2024-12-23 00:07:06,251.0,119.0,1.0,2018-06-26 04:30:08,2018-09-23 16:50:33,joelowj/Machine-Learning-and-Reinforcement-Learning-in-Finance,inactive,,39:11.1\nDeep Learning IV,https://github.com/achillesrasquinha/bulbea,Bulbea: Deep Learning based Python Library.,Deep Learning And Reinforcement Learning,2024-12-25 13:57:30,2069.0,477.0,1.0,2017-03-09 06:11:06,2017-03-19 07:42:49,achillesrasquinha/bulbea,inactive,5.0,\nQuantitative-finance-papers-using-deep-learning,https://github.com/Leefinance/Quantitative-finance-papers-using-deep-learning,NEW,Deep Learning And Reinforcement Learning,2024-11-27 14:59:21,134.0,31.0,1.0,2019-08-22 13:16:08,2023-05-21 11:04:12,Leefinance/Quantitative-finance-papers-using-deep-learning,active,,2023-11-07 01:46:19.411093\nDQN-Trading,https://github.com/MehranTaghian/DQN-Trading,NEW,Deep Learning And Reinforcement Learning,2024-12-11 11:39:08,151.0,52.0,1.0,2021-08-27 21:07:21,2021-10-09 05:50:21,MehranTaghian/DQN-Trading,inactive,,2023-10-17 01:44:05.308179\nFinancePy,https://github.com/domokane/FinancePy,NEW,Derivatives and Hedging,2024-12-28 10:48:42,2189.0,326.0,22.0,2019-10-27 15:04:56,2024-10-07 17:36:24,domokane/FinancePy,active,,23:51.4\nopenAlgo,https://github.com/mtompkins/openAlgo,NEW,Derivatives and Hedging,2022-08-20 19:56:21,181.0,87.0,2.0,2013-05-28 14:46:53,2017-03-24 20:00:24,mtompkins/openAlgo,inactive,,23:51.4\nbetterOptionsTrading,https://github.com/amit0rana/betterOptionsTrading,NEW,Derivatives and Hedging,2024-12-17 05:17:01,123.0,62.0,3.0,2020-04-08 10:34:52,2024-11-19 06:22:56,amit0rana/betterOptionsTrading,active,,2024-02-28 01:38:51.867058\npyBlackScholesAnalytics,https://github.com/gabrielepompa88/pyBlackScholesAnalytics,NEW,Derivatives and Hedging,2024-12-13 11:04:29,112.0,30.0,1.0,2020-08-11 14:18:39,2020-09-02 10:27:27,gabrielepompa88/pyBlackScholesAnalytics,inactive,,2024-02-28 01:38:51.867058\nfast_arrow,https://github.com/westonplatter/fast_arrow,NEW,Derivatives and Hedging,2024-03-31 02:59:33,127.0,37.0,5.0,2018-07-19 23:15:25,2020-04-18 18:05:37,westonplatter/fast_arrow,inactive,,23:51.4\ntf-quant-finance,https://github.com/google/tf-quant-finance,NEW,Derivatives and Hedging,2024-12-28 16:28:11,4622.0,584.0,41.0,2019-07-24 16:09:50,2024-11-06 15:17:15,google/tf-quant-finance,active,,23:51.4\nhuobi_futures_Python,https://github.com/hbdmapi/huobi_futures_Python,NEW,Derivatives and Hedging,2024-12-15 07:52:55,267.0,113.0,2.0,2020-01-14 07:21:39,2021-06-25 01:29:01,hbdmapi/huobi_futures_Python,inactive,,23:51.4\nOption Strategies,https://github.com/rstreppa/valuation-OptionStrategies,\"Valuation of Vanilla and Exotic option strategies (Butterfly, Risk Reversal etc.) with widget animations.\",Derivatives and Hedging,2023-09-10 02:52:18,6.0,5.0,1.0,2018-05-22 18:27:26,2018-05-22 18:30:24,rstreppa/valuation-OptionStrategies,inactive,,\nFlowAlgo-Options-Trader,https://github.com/SC4RECOIN/FlowAlgo-Options-Trader,NEW,Derivatives and Hedging,2024-12-22 17:32:44,119.0,37.0,1.0,2020-11-12 03:05:58,2021-02-15 19:28:42,SC4RECOIN/FlowAlgo-Options-Trader,inactive,,2023-09-27 01:41:02.763597\nVolatility and Variance Derivatives,https://github.com/yhilpisch/lvvd/tree/master/lvvd,Volatility derivatives analytics.,Derivatives and Hedging,2024-07-02 13:45:25,142.0,110.0,1.0,2016-10-21 04:12:50,2022-01-04 07:41:22,yhilpisch/lvvd,inactive,,\nBlack Scholes,https://github.com/irajwani/numerical_methods_python/blob/master/black_scholes.ipynb,Options pricing.,Derivatives and Hedging,2021-10-12 20:31:37,2.0,3.0,0.0,2017-12-09 18:50:20,2018-07-09 09:48:36,irajwani/numerical_methods_python,inactive,,\npancakeswap-prediction-winner,https://github.com/modagavr/pancakeswap-prediction-winner,NEW,Derivatives and Hedging,2024-12-18 15:49:49,249.0,125.0,3.0,2021-06-09 14:30:14,2023-03-15 06:24:49,modagavr/pancake-wizard,active,,2021-11-10 01:46:37.106806\nwallstreet,https://github.com/mcdallas/wallstreet,NEW,Derivatives and Hedging,2024-12-28 22:36:14,1406.0,206.0,3.0,2016-01-20 22:03:39,2024-03-09 22:31:06,mcdallas/wallstreet,active,,23:51.4\noption-pricing-models,https://github.com/krivi95/option-pricing-models,NEW,Derivatives and Hedging,2024-12-26 08:00:16,186.0,51.0,1.0,2020-11-12 19:00:14,2022-01-26 09:40:31,krivi95/option-pricing-models,inactive,,2024-08-14 01:27:48.113767\nkwenta,https://github.com/Kwenta/kwenta,NEW,Derivatives and Hedging,2024-12-13 04:20:12,143.0,156.0,61.0,2021-08-24 16:51:40,2023-10-16 19:43:43,Kwenta/kwenta,active,,2023-07-12 02:22:11.928947\nbitcoin_volatility_forecasting,https://github.com/chibui191/bitcoin_volatility_forecasting,NEW,Derivatives and Hedging,2024-12-26 04:20:36,227.0,71.0,1.0,2021-07-18 17:51:11,2021-09-10 20:25:41,chibui191/bitcoin_volatility_forecasting,inactive,,2022-11-30 02:18:03.129224\nStockSharp,https://github.com/StockSharp/StockSharp,NEW,Derivatives and Hedging,2024-12-28 10:46:56,7462.0,1797.0,16.0,2014-12-08 07:53:44,2024-12-27 07:42:30,StockSharp/StockSharp,active,,23:51.4\ntrade-frame,https://github.com/rburkholder/trade-frame,NEW,Derivatives and Hedging,2024-12-27 06:14:54,509.0,162.0,3.0,2016-07-24 15:25:30,2024-12-27 06:14:39,rburkholder/trade-frame,active,,23:51.4\nstocktrends,https://github.com/ChillarAnand/stocktrends,NEW,Derivatives and Hedging,2024-12-27 21:30:24,248.0,74.0,1.0,2018-02-06 12:56:48,2024-04-07 08:31:03,ChillarAnand/stocktrends,active,,2021-07-07 01:48:02.687855\nMarketAnalysis,https://github.com/p-eq/MarketAnalysis,NEW,Derivatives and Hedging,2022-07-19 18:30:08,209.0,89.0,1.0,2019-03-28 19:46:34,2020-08-06 05:15:46,p-eq/MarketAnalysis,active,,2022-05-11 02:50:14.580036\nFinanceDatabase,https://github.com/JerBouma/FinanceDatabase,NEW,Derivatives and Hedging,2024-12-28 16:19:27,3867.0,431.0,12.0,2021-01-28 18:36:09,2024-12-22 12:14:16,JerBouma/FinanceDatabase,active,,23:51.4\nOptions Risk Measures,https://github.com/wanglouis49/risk_estimation,Efficient financial risk estimation via computer experiment design (regression + variance-reduced sampling).,Derivatives and Hedging,2022-10-20 17:48:50,3.0,3.0,1.0,2016-04-29 03:51:25,2018-01-16 01:24:07,wanglouis49/risk_estimation,inactive,,\n10101,https://github.com/get10101/10101,NEW,Derivatives and Hedging,2024-11-27 04:08:20,131.0,23.0,12.0,2023-01-11 04:46:13,2024-10-28 06:26:16,get10101/10101,active,,2024-01-24 01:51:48.653651\nQLNet,https://github.com/amaggiulli/QLNet,NEW,Derivatives and Hedging,2024-12-24 09:07:13,388.0,176.0,17.0,2013-08-22 14:51:43,2024-12-02 16:21:05,amaggiulli/QLNet,active,,23:51.4\nIq_Option_Bots,https://github.com/metheuspsc/Iq_Option_Bots,NEW,Derivatives and Hedging,2024-12-08 13:36:50,122.0,51.0,3.0,2020-06-22 12:35:22,2021-08-18 01:31:21,metheuspsc/Iq_Option_Bots,inactive,,2024-03-27 01:39:44.229179\nrobin_stocks,https://github.com/jmfernandes/robin_stocks,NEW,Derivatives and Hedging,2024-12-28 23:13:56,1765.0,477.0,55.0,2018-02-23 00:49:37,2024-12-22 16:49:50,jmfernandes/robin_stocks,active,,23:51.4\nDerivatives Python,https://github.com/yhilpisch/dawp/tree/master/python36,Derivative analytics with Python.,Derivatives and Hedging,2024-12-28 12:23:29,601.0,371.0,1.0,2015-07-09 12:27:29,2021-02-22 13:29:18,yhilpisch/dawp,inactive,,\nDelta Hedging,https://github.com/RobinsonGarcia/delta-hedging,Advanced derivatives.,Derivatives and Hedging,2024-12-07 17:17:16,7.0,4.0,1.0,2018-03-02 23:53:53,2018-07-17 23:32:23,RobinsonGarcia/delta-hedging,inactive,,\nquant-trading,https://github.com/je-suis-tm/quant-trading,NEW,Derivatives and Hedging,2024-12-28 06:41:14,6110.0,1226.0,3.0,2018-04-03 14:08:14,2024-04-14 13:06:59,je-suis-tm/quant-trading,active,,23:51.4\nalgotrader,https://github.com/torreyleonard/algotrader,NEW,Derivatives and Hedging,2024-12-06 17:20:22,641.0,121.0,12.0,2018-04-10 02:31:26,2020-08-27 08:16:44,torreyleonard/algotrader,inactive,,23:51.4\nbinance-copy-trade-bot,https://github.com/tpmmthomas/binance-copy-trade-bot,NEW,Derivatives and Hedging,2024-12-28 19:38:27,120.0,50.0,2.0,2022-06-23 08:08:00,2024-06-20 20:41:33,tpmmthomas/binance-copy-trade-bot,active,,2024-06-12 01:27:12.232437\npython-option-calculator,https://github.com/yzoz/python-option-calculator,NEW,Derivatives and Hedging,2024-12-05 17:35:02,123.0,45.0,1.0,2017-02-07 15:46:31,2022-09-13 16:20:00,yzoz/python-option-calculator,inactive,,2023-11-22 01:50:35.246017\npaperbroker,https://github.com/philipodonnell/paperbroker,NEW,Derivatives and Hedging,2024-12-14 12:00:02,264.0,75.0,3.0,2017-07-06 02:04:51,2018-04-08 18:37:57,philipodonnell/paperbroker,inactive,,23:51.4\ncompendium,https://github.com/sambacha/compendium,NEW,Derivatives and Hedging,2024-12-27 09:49:42,202.0,28.0,3.0,2019-05-14 01:07:06,2023-07-29 13:34:50,sambacha/compendium,active,,2022-08-03 03:10:50.181850\ntorchquant,https://github.com/jialuechen/torchquant,NEW,Derivatives and Hedging,2024-12-03 21:11:10,163.0,19.0,1.0,2022-01-06 04:26:18,2024-10-15 20:49:28,jialuechen/torchquant,active,,2024-09-25 01:28:25.479966\nLoopTrader,https://github.com/pattertj/LoopTrader,NEW,Derivatives and Hedging,2024-12-20 10:03:14,115.0,19.0,3.0,2021-04-04 16:47:20,2022-03-28 15:17:16,pattertj/LoopTrader,inactive,,2023-09-27 01:41:02.763597\nStrata,https://github.com/OpenGamma/Strata,NEW,Derivatives and Hedging,2024-12-26 03:15:52,863.0,286.0,59.0,2014-06-16 11:45:55,2024-12-19 10:42:55,OpenGamma/Strata,active,,23:51.4\noptlib,https://github.com/dbrojas/optlib,NEW,Derivatives and Hedging,2024-12-10 17:51:11,665.0,90.0,4.0,2020-08-17 00:30:14,2022-11-18 19:12:54,dbrojas/optlib,inactive,,2022-07-27 03:11:05.988327\nakshare,https://github.com/jindaxiang/akshare,NEW,Derivatives and Hedging,2024-12-28 14:32:28,9867.0,1965.0,78.0,2019-10-01 07:34:12,2024-12-28 14:31:32,akfamily/akshare,active,,23:51.4\nRustQuant,https://github.com/avhz/RustQuant,NEW,Derivatives and Hedging,2024-12-28 18:26:07,1201.0,137.0,35.0,2022-08-31 10:03:24,2024-11-24 23:26:40,avhz/RustQuant,active,,2023-07-05 02:22:05.839071\nReinforcement Learning,https://github.com/FinTechies/HedgingRL,Hedging portfolios with reinforcement learning.,Derivatives and Hedging,2024-11-12 20:21:18,34.0,12.0,1.0,2017-04-21 10:58:56,2017-08-02 21:41:06,FinTechies/HedgingRL,inactive,,\ntda-api,https://github.com/alexgolec/tda-api,NEW,Derivatives and Hedging,2024-12-28 04:13:50,1271.0,339.0,22.0,2020-04-03 21:19:12,2024-06-16 22:04:19,alexgolec/tda-api,active,,23:51.4\noptionlab,https://github.com/rgaveiga/optionlab,NEW,Derivatives and Hedging,2024-12-24 09:04:18,313.0,59.0,2.0,2023-07-04 19:44:27,2024-12-03 11:16:50,rgaveiga/optionlab,active,,2024-01-31 01:39:30.216313\nharvest,https://github.com/tfukaza/harvest,NEW,Derivatives and Hedging,2024-12-17 22:02:49,127.0,26.0,6.0,2021-06-25 21:29:38,2024-06-04 21:02:57,tfukaza/harvest,active,,2023-01-04 02:08:30.343029\nlumibot,https://github.com/Lumiwealth/lumibot,NEW,Derivatives and Hedging,2024-12-28 18:28:23,936.0,181.0,27.0,2020-09-10 10:00:16,2024-12-22 01:27:46,Lumiwealth/lumibot,active,,2022-05-04 02:53:40.766573\nquantlib,https://github.com/piquette/quantlib,NEW,Derivatives and Hedging,2024-12-17 04:25:27,151.0,31.0,2.0,2020-04-12 14:20:07,2021-04-09 14:53:41,piquette/quantlib,inactive,,2023-04-05 01:41:15.227024\nOptions,https://github.com/PHBS/2018.M1.ASP/tree/master/py,Black Scholes and Copula.,Derivatives and Hedging,,,,,,,PHBS/2018.M1.ASP,,,\nOptions_Data_Science,https://github.com/yugedata/Options_Data_Science,NEW,Derivatives and Hedging,2024-12-22 17:23:03,329.0,61.0,1.0,2020-12-09 04:51:20,2022-03-16 19:20:04,yugedata/Options_Data_Science,inactive,,23:51.4\nopstrat,https://github.com/hashABCD/opstrat,NEW,Derivatives and Hedging,2024-12-15 12:53:54,145.0,62.0,1.0,2021-03-17 14:31:33,2021-07-25 17:16:11,hashABCD/opstrat,inactive,,2023-04-19 02:00:49.885080\ngs-quant,https://github.com/goldmansachs/gs-quant,NEW,Derivatives and Hedging,2024-12-29 00:03:49,8088.0,998.0,20.0,2018-12-14 21:10:40,2024-12-17 15:18:46,goldmansachs/gs-quant,active,,23:51.4\ninvestbook,https://github.com/spacious-team/investbook,NEW,Derivatives and Hedging,2024-12-27 18:06:09,278.0,83.0,23.0,2020-02-15 18:23:48,2024-11-18 22:18:02,spacious-team/investbook,active,,2022-05-04 02:53:40.766573\ninjective-helix-demo,https://github.com/InjectiveLabs/injective-helix-demo,NEW,Derivatives and Hedging,2024-12-27 04:04:02,102.0,76.0,18.0,2021-04-12 13:36:25,2024-07-15 17:00:25,InjectiveLabs/injective-helix-demo,active,,2024-08-28 01:27:45.341491\nfully-automated-nifty-options-trading,https://github.com/srikar-kodakandla/fully-automated-nifty-options-trading,NEW,Derivatives and Hedging,2024-12-27 14:14:22,148.0,72.0,1.0,2022-06-25 15:20:23,2024-10-10 09:29:45,srikar-kodakandla/fully-automated-nifty-options-trading,active,,2024-04-10 01:39:57.543668\nComputational Derivatives,https://github.com/chenbowen184/Computational_Finance,Projects focusing on investigating simulations and computational techniques applied in finance.,Derivatives and Hedging,2023-06-02 02:45:49,27.0,20.0,1.0,2018-01-29 05:01:52,2018-08-02 05:56:49,chen-bowen/Computational_Finance,inactive,,\nrenegade-way,https://github.com/evdubs/renegade-way,NEW,Derivatives and Hedging,2024-12-22 17:30:46,126.0,25.0,1.0,2019-08-24 00:42:24,2024-11-21 20:57:26,evdubs/renegade-way,active,,2023-10-18 01:41:47.528943\nOptions-Trading-Strategies-in-Python,https://github.com/PyPatel/Options-Trading-Strategies-in-Python,NEW,Derivatives and Hedging,2024-12-27 11:22:43,850.0,232.0,1.0,2017-08-30 06:00:15,2019-08-21 15:47:57,PyPatel/Options-Trading-Strategies-in-Python,inactive,,23:51.4\nTradingView-Binance-Telegram-Bot,https://github.com/ytrevor81/TradingView-Binance-Telegram-Bot,NEW,Derivatives and Hedging,2024-12-13 03:41:28,143.0,38.0,1.0,2021-02-16 07:16:09,2022-01-04 13:07:22,ytrevor81/TradingView-Binance-Telegram-Bot,inactive,,2023-05-31 02:18:57.033125\noptions_backtester,https://github.com/lambdaclass/options_backtester,NEW,Derivatives and Hedging,2024-12-05 04:18:20,165.0,29.0,5.0,2019-05-08 14:48:04,2024-08-06 22:06:21,lambdaclass/options_backtester,active,,2022-08-17 03:19:31.528847\ntai,https://github.com/fremantle-industries/tai,NEW,Derivatives and Hedging,2024-12-07 13:27:49,470.0,78.0,8.0,2017-07-28 03:07:18,2024-12-06 17:04:11,fremantle-industries/tai,active,,23:51.4\noptopsy,https://github.com/michaelchu/optopsy,NEW,Derivatives and Hedging,2024-12-25 20:58:55,1018.0,163.0,3.0,2017-09-17 01:49:54,2024-07-06 19:33:10,michaelchu/optopsy,active,,23:51.4\nOptionSuite,https://github.com/sirnfs/OptionSuite,NEW,Derivatives and Hedging,2024-12-23 21:03:19,247.0,61.0,2.0,2017-04-13 04:39:44,2024-12-11 01:59:29,sirnfs/OptionSuite,active,,2022-11-16 02:44:22.214502\nMarketAnalysis,https://github.com/Poseyy/MarketAnalysis,NEW,Derivatives and Hedging,2022-07-19 18:30:08,209.0,89.0,1.0,2019-03-28 19:46:34,2020-08-06 05:15:46,p-eq/MarketAnalysis,active,,23:51.4\ntrading-server,https://github.com/s-brez/trading-server,NEW,Derivatives and Hedging,2024-12-13 15:01:13,629.0,120.0,1.0,2019-03-05 03:06:19,2022-11-17 01:42:13,s-brez/trading-server,inactive,,23:51.4\nOptions,https://github.com/QuantConnect/Tutorials/tree/master/06%20Introduction%20to%20Options%5B%5D,Introduction to options.,Derivatives and Hedging,2024-12-27 16:05:57,550.0,217.0,35.0,2017-07-28 15:48:29,2022-06-16 00:35:12,QuantConnect/Tutorials,inactive,,\nibkr-options-volatility-trading,https://github.com/mcf-long-short/ibkr-options-volatility-trading,NEW,Derivatives and Hedging,2024-12-23 18:30:27,187.0,39.0,2.0,2021-05-30 12:40:04,2021-06-05 13:35:03,mcf-long-short/ibkr-options-volatility-trading,inactive,,2023-10-18 01:41:47.528943\nAlgorithmicTrading,https://github.com/JerBouma/AlgorithmicTrading,NEW,Derivatives and Hedging,2024-12-28 21:23:26,896.0,185.0,2.0,2019-03-14 09:33:37,2023-08-13 07:15:09,JerBouma/AlgorithmicTrading,active,,23:51.4\nDerman,https://github.com/rstreppa/valuation-convertibles-Goldman1994/blob/master/ConvertibleBond_Goldman1994_Derman.ipynb,Binomial tree for American call.,Derivatives and Hedging,2024-11-21 20:17:23,9.0,7.0,1.0,2018-05-18 18:08:16,2018-09-21 19:59:01,rstreppa/valuation-convertibles-Goldman1994,inactive,,\nDerivative Markets,https://github.com/broughtj/Fin6470/tree/master/Notebooks,\"The economics of futures, futures, options, and swaps.\",Derivatives and Hedging,2024-09-28 17:37:57,11.0,9.0,1.0,2016-02-09 05:30:27,2021-04-15 16:02:59,broughtj/Fin6470,inactive,,\nQuantsbin,https://github.com/quantsbin/Quantsbin,NEW,Derivatives and Hedging,2024-12-09 17:10:47,501.0,69.0,3.0,2018-07-04 02:23:09,2021-05-23 18:14:26,quantsbin/Quantsbin,inactive,,2022-01-26 01:55:50.593433\nHull White,https://github.com/rstreppa/valuation-callables-HullWhite/blob/master/CallableBond_HullWhite.ipynb,\"Callable Bond, Hull White.\",Derivatives and Hedging,2024-12-10 17:58:01,14.0,15.0,1.0,2018-06-06 22:06:06,2018-06-06 22:27:02,rstreppa/valuation-callables-HullWhite,inactive,,\ntransaction-fraud-detection,https://github.com/juniorcl/transaction-fraud-detection,NEW,Extended Research,2024-12-11 05:06:41,153.0,78.0,1.0,2021-01-11 19:43:23,2021-02-27 14:21:27,juniorcl/transaction-fraud-detection,inactive,,2023-01-04 02:09:18.093104\ngraph-fraud-detection-papers,https://github.com/safe-graph/graph-fraud-detection-papers,NEW,Extended Research,2024-12-28 10:40:36,1470.0,261.0,18.0,2019-11-21 05:39:23,2024-11-27 01:09:23,safe-graph/graph-fraud-detection-papers,active,,2021-04-21 01:25:51.827641\nsagemaker-graph-fraud-detection,https://github.com/awslabs/sagemaker-graph-fraud-detection,NEW,Extended Research,2024-12-12 03:21:58,94.0,32.0,3.0,2020-03-13 16:51:29,2021-05-18 19:20:28,awslabs/sagemaker-graph-fraud-detection,inactive,,2021-12-15 01:51:23.915128\nPyStrategies,https://github.com/danielktaylor/PyStrategies,NEW,Extended Research,2024-08-24 17:18:21,73.0,25.0,1.0,2016-08-01 21:34:17,2021-02-11 19:48:48,danielktaylor/PyStrategies,inactive,,2022-07-27 03:11:56.566644\nalgo-trader-tool-suite,https://github.com/K0414/algo-trader-tool-suite,NEW,Extended Research,2024-11-13 03:20:46,84.0,56.0,1.0,2013-10-24 14:57:12,2013-10-24 15:01:56,K0414/algo-trader-tool-suite,inactive,,2021-04-21 01:25:51.827641\nPyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop,https://github.com/TheSnowGuru/PyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop,NEW,Extended Research,2024-12-25 16:13:50,720.0,27.0,3.0,2020-07-05 07:59:38,2024-09-27 10:39:55,TheSnowGuru/PyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop,active,,2021-04-21 01:25:51.827641\nFX-1-Minute-Data,https://github.com/philipperemy/FX-1-Minute-Data,NEW,Extended Research,2024-12-28 19:02:06,507.0,150.0,4.0,2017-05-22 03:24:35,2024-03-26 02:50:18,philipperemy/FX-1-Minute-Data,active,,2021-04-21 01:25:51.827641\nKrypto-trading-bot,https://github.com/ctubio/Krypto-trading-bot,NEW,Extended Research,2024-12-28 12:26:34,3432.0,828.0,51.0,2017-06-13 20:15:54,2024-12-15 14:55:22,ctubio/Krypto-trading-bot,active,,2021-04-21 01:25:51.827641\nCommodity,https://github.com/felipessalvatore/fin2vec/blob/master/src/Commodity2BR.ipynb,Commodity influence over Brazilian stocks.,Extended Research,,,,,,,felipessalvatore/fin2vec,,,\nfraud-detection,https://github.com/yazanobeidi/fraud-detection,NEW,Extended Research,2024-12-01 06:18:44,101.0,42.0,1.0,2017-08-04 15:03:47,2017-08-05 15:38:45,yazanobeidi/fraud-detection,inactive,,2021-04-21 01:25:51.827641\nexample-hftish,https://github.com/alpacahq/example-hftish,NEW,Extended Research,2024-12-27 09:38:34,769.0,239.0,3.0,2019-01-25 14:56:38,2019-10-25 02:16:27,alpacahq/example-hftish,inactive,,2021-04-21 01:25:51.827641\nComputational Finance,https://github.com/lnsongxf/Applied_Computational_Economics_and_Finance,Applied Computational Economics and Finance.,Extended Research,2024-12-13 02:58:24,26.0,17.0,1.0,2017-08-27 03:46:33,2017-08-26 04:26:04,lnsongxf/Applied_Computational_Economics_and_Finance,inactive,,\nHFTBOT,https://github.com/Naseefabu/HFTBOT,NEW,Extended Research,2024-12-28 18:29:23,130.0,35.0,1.0,2022-05-05 05:55:13,2023-04-06 15:56:49,Naseefabu/HFTBOT,active,,2023-05-31 02:19:43.302784\nHFT_Bitcoin,https://github.com/ghgr/HFT_Bitcoin,NEW,Extended Research,2024-12-25 02:04:46,153.0,45.0,1.0,2017-07-27 07:11:48,2017-08-21 14:50:35,ghgr/HFT_Bitcoin,inactive,,2021-04-21 01:25:51.827641\nHFTFramework,https://github.com/javifalces/HFTFramework,NEW,Extended Research,2024-12-11 13:22:37,217.0,48.0,1.0,2021-11-09 07:48:07,2024-05-17 15:48:42,javifalces/HFTFramework,active,,2023-03-08 02:20:58.859774\nhigh-frequency,https://github.com/Kucoin-academy/high-frequency,NEW,Extended Research,2024-05-25 03:48:37,74.0,23.0,1.0,2020-04-24 07:58:36,2020-05-28 09:52:16,Kucoin-academy/high-frequency,inactive,,2022-08-31 03:47:22.763041\nQ-Fin,https://github.com/RomanMichaelPaolucci/Q-Fin,NEW,Extended Research,2024-12-27 18:51:39,399.0,54.0,1.0,2021-04-21 13:29:51,2023-04-07 14:39:41,romanmichaelpaolucci/Q-Fin,active,,2021-06-02 04:27:12.212333\nLiquidity and Momentum,https://github.com/mrefermat/quant_finance,Various factors and portfolio constructions.,Extended Research,2024-09-29 08:46:36,48.0,27.0,1.0,2018-08-11 22:59:53,2019-11-12 04:49:01,mrefermat/quant_finance,inactive,,\nhummingbot_chinese,https://github.com/CoinAlpha/hummingbot_chinese,NEW,Extended Research,2024-12-28 09:49:11,530.0,119.0,4.0,2019-06-05 22:53:04,2022-03-29 03:03:27,CoinAlpha/hummingbot_chinese,inactive,,2021-04-21 01:25:51.827641\nFinancial-Formulas-Library-.NET-Standard,https://github.com/srbrettle/Financial-Formulas-Library-.NET-Standard,NEW,Extended Research,2024-12-24 00:23:55,256.0,70.0,2.0,2018-09-01 17:43:37,2019-11-22 12:50:30,srbrettle/Financial-Formulas-Library-.NET-Standard,inactive,,2021-04-21 01:25:51.827641\nesg-scoring,https://github.com/databricks-industry-solutions/esg-scoring,NEW,Extended Research,2024-12-18 10:35:53,54.0,28.0,3.0,2022-05-30 19:18:26,2024-04-03 14:18:10,databricks-industry-solutions/esg-scoring,active,,2024-10-02 01:29:45.816303\nBitfinex-bot,https://github.com/Timonade/Bitfinex-bot,NEW,Extended Research,2024-07-02 23:57:15,351.0,0.0,1.0,2024-07-02 23:54:59,2024-07-02 23:55:01,Timonade/Bitfinex-bot,active,,2024-07-03 01:28:54.243817\nawesome-systematic-trading,https://github.com/wangzhe3224/awesome-systematic-trading,NEW,Extended Research,2024-12-28 23:46:11,2215.0,287.0,6.0,2021-12-11 17:57:13,2024-12-26 14:03:16,wangzhe3224/awesome-systematic-trading,active,,2022-01-12 01:57:29.001766\nBitfinex-bot,https://github.com/RunAwayOrElse/Bitfinex-bot,NEW,Extended Research,2024-06-04 14:49:31,62.0,0.0,1.0,2024-06-04 13:33:05,2024-06-04 13:33:07,RunAwayOrElse/Bitfinex-bot,active,,2024-06-05 01:28:04.226109\nVisualHFT,https://github.com/silahian/VisualHFT,NEW,Extended Research,2024-12-22 15:28:30,772.0,161.0,4.0,2022-09-20 02:52:30,2024-07-11 02:50:02,silahian/VisualHFT,active,,2022-10-19 03:33:27.868296\nfraud-detection,https://github.com/cloudacademy/fraud-detection,NEW,Extended Research,2024-02-26 16:49:37,56.0,21.0,4.0,2017-08-03 09:07:49,2021-03-21 23:29:57,cloudacademy/fraud-detection,inactive,,2022-08-31 03:47:22.763041\nfraud-detection-papers,https://github.com/IPL/fraud-detection-papers,NEW,Extended Research,2024-12-11 23:47:18,231.0,41.0,1.0,2017-09-29 02:47:54,2021-08-04 08:24:45,IPL/fraud-detection-papers,inactive,,2021-04-21 01:25:51.827641\nID-Document-Liveness-Detection,https://github.com/Faceplugin-ltd/ID-Document-Liveness-Detection,NEW,Extended Research,2024-12-27 15:11:53,232.0,207.0,1.0,2024-10-09 03:20:04,2024-11-27 14:48:37,Faceplugin-ltd/ID-Document-Liveness-Detection,active,,2024-10-16 01:29:27.591034\nFraud-Detection-Papers,https://github.com/zixi-liu/Fraud-Detection-Papers,NEW,Extended Research,2024-12-23 02:48:40,108.0,22.0,1.0,2022-04-05 23:00:31,2024-12-12 16:50:49,zixi-liu/Fraud-Detection-Papers,active,,2023-12-13 01:48:56.499560\nhft,https://github.com/nickhuangxinyu/hft,NEW,Extended Research,2022-06-03 14:49:18,248.0,113.0,2.0,2019-03-12 14:57:01,2022-04-20 09:56:09,nickhuangxinyu/hft,active,,2021-04-21 01:25:51.827641\nOpenHFT,https://github.com/OpenHFT/OpenHFT,NEW,Extended Research,2024-12-28 14:03:59,642.0,183.0,42.0,2013-12-26 10:22:00,2024-12-16 05:01:24,OpenHFT/OpenHFT,active,,2021-04-21 01:25:51.827641\nEarnHFT,https://github.com/qinmoelei/EarnHFT,NEW,Extended Research,2024-12-26 01:57:39,85.0,19.0,1.0,2024-01-16 04:02:37,2024-07-19 03:08:40,TradeMaster-NTU/EarnHFT,active,,2024-06-05 01:28:04.226109\nfingerprintjs,https://github.com/fingerprintjs/fingerprintjs,NEW,Extended Research,2024-12-28 13:27:20,23495.0,2321.0,84.0,2015-02-11 08:49:54,2024-12-09 13:53:51,fingerprintjs/fingerprintjs,active,,2021-04-21 01:25:51.827641\nDGFraud,https://github.com/safe-graph/DGFraud,NEW,Extended Research,2024-12-18 11:16:49,700.0,159.0,4.0,2019-11-22 14:02:36,2022-04-20 21:39:08,safe-graph/DGFraud,inactive,,2021-04-21 01:25:51.827641\nsemi-static-conditions,https://github.com/maxlucuta/semi-static-conditions,NEW,Extended Research,2024-12-16 05:46:34,52.0,12.0,1.0,2023-03-23 14:07:09,2023-09-09 11:55:36,maxlucuta/semi-static-conditions,active,,2024-10-30 01:29:16.044183\nhft-market-making,https://github.com/mmssss/hft-market-making,NEW,Extended Research,2024-12-28 07:46:56,101.0,30.0,2.0,2022-10-24 12:12:08,2023-05-06 07:27:55,mmssss/hft-market-making,active,,2024-05-01 01:27:45.341422\nbarter-rs,https://github.com/barter-rs/barter-rs,NEW,Extended Research,2024-12-28 08:59:08,1072.0,171.0,5.0,2022-10-09 16:39:34,2024-12-18 19:33:21,barter-rs/barter-rs,active,,2022-11-23 02:26:52.095797\nMl_HFT,https://github.com/fushuyue/Ml_HFT,NEW,Extended Research,2024-08-13 01:18:34,65.0,24.0,1.0,2016-02-11 17:04:34,2016-05-09 03:34:43,fushuyue/Ml_HFT,inactive,,2022-11-02 03:15:32.494587\nfecon236,https://github.com/MathSci/fecon236,NEW,Extended Research,2024-12-27 15:24:56,131.0,54.0,2.0,2018-04-05 19:34:51,2019-01-11 08:07:56,MathSci/fecon236,inactive,,2021-04-21 01:25:51.827641\nTrading-Bot,https://github.com/raidastauras/Trading-Bot,NEW,Extended Research,2024-11-23 02:04:44,135.0,47.0,1.0,2017-11-27 21:20:40,2018-01-22 21:00:57,raidastauras/Trading-Bot,inactive,,2024-11-13 01:29:15.047147\nHigh-Frequency-Trading-Simulation-System,https://github.com/chenhaotian/High-Frequency-Trading-Simulation-System,NEW,Extended Research,2024-12-16 16:06:39,79.0,33.0,1.0,2016-06-14 13:50:39,2018-04-16 08:48:10,chenhaotian/High-Frequency-Trading-Simulation-System,inactive,,2021-04-21 01:25:51.827641\nHigh-Frequency-Trading-Model-with-IB,https://github.com/jamesmawm/High-Frequency-Trading-Model-with-IB,NEW,Extended Research,2024-12-26 03:07:18,2556.0,678.0,2.0,2014-05-18 19:20:13,2019-06-21 14:58:07,jamesmawm/High-Frequency-Trading-Model-with-IB,inactive,,2021-04-21 01:25:51.827641\nanomaly-detection-resources,https://github.com/yzhao062/anomaly-detection-resources,NEW,Extended Research,2024-12-28 19:02:25,8466.0,1752.0,21.0,2018-05-16 20:02:54,2024-12-21 20:25:09,yzhao062/anomaly-detection-resources,active,,2022-01-05 01:58:48.216479\nBayesian Finance I,https://github.com/AlexIoannides/pymc-stochastic-process/blob/master/bayes_stoch_proc_calib.ipynb,Stochastic Process Calibration using Bayesian Inference & Probabilistic Programs.,Extended Research,2024-10-19 14:58:17,43.0,11.0,0.0,2019-01-04 12:30:41,2019-02-18 09:55:21,AlexIoannides/pymc-stochastic-process,inactive,,\ngamma-ray,https://github.com/hello2all/gamma-ray,NEW,Extended Research,2024-12-28 23:27:40,372.0,95.0,3.0,2020-12-28 19:46:09,2022-02-07 09:00:03,hello2all/gamma-ray,inactive,,2021-11-10 01:47:27.749840\nCredit-Card-Checker,https://github.com/AryanSarang/Credit-Card-Checker,NEW,Extended Research,2024-09-17 17:39:54,64.0,0.0,1.0,2024-09-16 10:33:14,2024-09-16 10:33:47,AryanSarang/Credit-Card-Checker,active,,2024-09-18 01:29:07.809472\nCritical Transitions,https://github.com/ryanholbrook/critical-transitions,Detecting critical transitions in financial networks with topological data analysis.,Extended Research,2024-02-12 18:12:11,17.0,6.0,1.0,2019-01-22 10:59:50,2019-03-12 18:35:02,ryanholbrook/critical-transitions,inactive,,\nInteractiveBrokers-Algo-Trading-API,https://github.com/rediar/InteractiveBrokers-Algo-Trading-API,NEW,Extended Research,2024-11-15 07:54:48,245.0,89.0,1.0,2018-01-21 03:09:41,2023-06-12 01:31:10,rediar/InteractiveBrokers-Algo-Trading-API,active,,2023-06-14 02:09:49.043076\nopenapi-samples-js,https://github.com/SaxoBank/openapi-samples-js,NEW,Extended Research,2024-12-23 18:31:45,53.0,24.0,11.0,2020-03-18 09:05:52,2024-10-15 07:56:16,SaxoBank/openapi-samples-js,active,,2024-08-07 01:29:01.411723\nviperfish,https://github.com/xreptoid/viperfish,NEW,Extended Research,2024-11-23 17:03:04,63.0,7.0,1.0,2023-09-26 14:22:15,2023-10-03 11:04:31,xreptoid/viperfish,active,,2023-10-18 01:43:11.697362\nthunder-trader,https://github.com/frankfan007/thunder-trader,NEW,Extended Research,2024-11-17 03:54:57,69.0,49.0,2.0,2020-07-09 01:37:37,2019-11-09 03:17:28,frankfan007/thunder-trader,inactive,,2023-05-10 01:57:42.215646\nDynamicSocialNetworkFraudDetection,https://github.com/Zhu-Shatong/DynamicSocialNetworkFraudDetection,NEW,Extended Research,2024-12-27 03:26:19,78.0,4.0,1.0,2024-03-16 08:31:34,2024-09-18 14:09:45,Zhu-Shatong/DynamicSocialNetworkFraudDetection,active,,2024-03-20 01:39:09.995997\nopen-fraud-detection-kit,https://github.com/blingblingLTY/open-fraud-detection-kit,NEW,Extended Research,2024-12-03 05:55:56,403.0,48.0,1.0,2024-06-15 15:38:52,2024-06-15 15:48:50,blingblingLTY/open-fraud-detection-kit,active,,2024-06-19 01:29:00.704043\nRipplePower,https://github.com/cping/RipplePower,NEW,Extended Research,2024-12-04 11:37:24,52.0,18.0,1.0,2014-04-27 07:11:33,2021-01-02 07:37:47,cping/RipplePower,inactive,,2023-10-18 01:43:11.697362\ncollections,https://github.com/exchange-core/collections,NEW,Extended Research,2024-12-07 13:59:38,55.0,33.0,1.0,2020-04-17 17:58:57,2020-10-15 19:21:43,exchange-core/collections,inactive,,2024-05-08 01:16:52.321153\nSumZeroTrading,https://github.com/rterp/SumZeroTrading,NEW,Extended Research,2024-12-25 20:32:27,145.0,48.0,1.0,2016-01-19 05:43:31,2024-12-22 09:24:26,rterp/SumZeroTrading,active,,2021-04-21 01:25:51.827641\nHFT-Orderbook,https://github.com/Crypto-toolbox/HFT-Orderbook,NEW,Extended Research,2024-12-26 21:44:37,1030.0,258.0,6.0,2017-07-26 08:42:19,2024-11-13 19:41:45,Crypto-toolbox/HFT-Orderbook,active,,2021-04-21 01:25:51.827641\nedgar-crawler,https://github.com/nlpaueb/edgar-crawler,NEW,Extended Research,2024-12-28 13:25:58,320.0,89.0,4.0,2021-09-24 10:00:47,2024-12-23 14:11:11,nlpaueb/edgar-crawler,active,,2022-09-28 03:32:02.272302\nhft-avellaneda,https://github.com/rspadim/hft-avellaneda,NEW,Extended Research,2024-12-06 00:21:50,56.0,12.0,1.0,2019-04-15 13:06:03,2019-04-15 13:02:42,rspadim/hft-avellaneda,inactive,,2024-04-03 01:40:53.481559\ndgraph,https://github.com/dgraph-io/dgraph,NEW,Extended Research,2024-12-28 07:56:21,20551.0,1507.0,186.0,2015-08-25 07:15:56,2024-12-26 05:34:09,dgraph-io/dgraph,active,,2024-11-27 01:29:40.165318\nHFT-Arbitrage-EA-MQL4-MQL5,https://github.com/HFTHaidra/HFT-Arbitrage-EA-MQL4-MQL5,NEW,Extended Research,2024-12-12 18:23:12,60.0,23.0,1.0,2021-12-06 10:00:52,2022-04-06 19:42:33,HFTHaidra/HFT-Arbitrage-EA-MQL4-MQL5,inactive,,2024-07-24 01:28:24.540183\nFraud-detection-using-deep-learning,https://github.com/aaxwaz/Fraud-detection-using-deep-learning,NEW,Extended Research,2024-09-14 02:53:56,113.0,59.0,1.0,2017-06-18 12:35:24,2017-12-06 13:51:54,aaxwaz/Fraud-detection-using-deep-learning,inactive,,2021-04-21 01:25:51.827641\ncreditcardML,https://github.com/eduonix/creditcardML,NEW,Extended Research,2024-11-07 09:24:23,50.0,63.0,1.0,2018-07-26 10:46:29,2018-07-26 10:47:36,eduonix/creditcardML,inactive,,2024-08-21 01:28:33.312449\nMathematical Finance,https://github.com/Auquan/Tutorials,Notebooks for math and financial tutorials.,Extended Research,2024-12-26 19:30:11,996.0,571.0,9.0,2017-01-21 11:24:18,2020-08-01 17:03:32,Auquan/Tutorials,inactive,,\nimperial_hft,https://github.com/0burak/imperial_hft,NEW,Extended Research,2024-12-28 23:48:00,777.0,108.0,0.0,2023-09-04 00:56:37,2023-09-10 18:30:31,0burak/imperial_hft,active,,2024-01-31 01:40:44.648255\nHFT-Pairs-Trading,https://github.com/sapphire921/HFT-Pairs-Trading,NEW,Extended Research,2024-12-20 03:24:12,101.0,30.0,2.0,2018-05-03 22:36:16,2019-02-27 17:41:22,sapphire921/HFT-Pairs-Trading,inactive,,2022-01-05 01:58:48.216479\nhft,https://github.com/keyianpai/hft,NEW,Extended Research,2024-12-12 10:41:50,57.0,132.0,2.0,2019-04-22 13:33:19,2019-04-05 01:47:45,keyianpai/hft,inactive,,2024-10-02 01:29:45.816303\nFinance Graph Theory,https://github.com/AvijitGhosh82/Finance_Graph_Theory,Modelling Contentedness of Firms in Financial Markets with Heterogeneous Agents.,Extended Research,2024-12-22 12:43:49,21.0,8.0,3.0,2018-08-02 02:48:24,2019-03-16 18:39:38,evijit/Finance_Graph_Theory,inactive,,\nMarketDataRec,https://github.com/hftlab/MarketDataRec,NEW,Extended Research,2024-11-20 03:44:25,93.0,19.0,1.0,2023-04-16 07:49:56,2024-04-11 08:53:08,hftlab/MarketDataRec,active,,2023-05-24 02:04:50.962593\nawesome-fraud-detection-papers,https://github.com/benedekrozemberczki/awesome-fraud-detection-papers,NEW,Extended Research,2024-12-27 11:10:19,1644.0,302.0,6.0,2019-05-27 10:23:22,2024-03-16 21:13:56,benedekrozemberczki/awesome-fraud-detection-papers,active,,2021-04-21 01:25:51.827641\nkungfu,https://github.com/kungfu-origin/kungfu,NEW,Extended Research,2024-12-28 12:53:25,3452.0,1132.0,26.0,2017-11-15 06:54:01,2024-03-19 14:09:07,kungfu-origin/kungfu,active,,2021-04-21 01:25:51.827641\nOrder_Imbalance_HFT,https://github.com/algosenses/Order_Imbalance_HFT,NEW,Extended Research,2024-12-04 15:53:17,104.0,40.0,0.0,2018-07-05 06:50:07,2018-11-06 01:54:05,algosenses/Order_Imbalance_HFT,inactive,,2022-03-30 02:25:09.963278\ntectonicdb,https://github.com/0b01/tectonicdb,NEW,Extended Research,2024-12-13 11:06:15,691.0,93.0,14.0,2017-10-03 00:34:01,2024-01-25 09:15:02,0b01/tectonicdb,active,,2021-04-21 01:25:51.827641\nFullFIX,https://github.com/maxim2266/FullFIX,NEW,Extended Research,2024-12-24 15:47:08,69.0,21.0,1.0,2015-08-26 09:44:55,2022-06-09 14:09:21,maxim2266/FullFIX,inactive,,2021-07-21 01:52:20.459625\nawesome-high-frequency-trading,https://github.com/StateOfTheArt-quant/awesome-high-frequency-trading,NEW,Extended Research,2024-12-22 11:38:04,104.0,19.0,1.0,2020-09-14 03:07:10,2021-11-10 16:01:48,StateOfTheArt-quant/awesome-high-frequency-trading,inactive,,2023-06-21 02:05:50.408289\nFinancial Economics,https://github.com/rsvp/fecon235/tree/master/nb,Financial Economics Models.,Extended Research,2024-12-26 20:54:20,1149.0,331.0,2.0,2014-11-09 04:49:01,2018-12-03 16:30:28,rsvp/fecon235,inactive,,\ncrypto-database,https://github.com/ivopetiz/crypto-database,NEW,Extended Research,2024-12-17 16:46:34,99.0,33.0,2.0,2018-02-22 21:34:11,2019-10-04 13:06:18,ivopetiz/crypto-database,inactive,,2021-04-21 01:25:51.827641\nFX-Trading-with-Python-and-Oanda,https://github.com/anthonyng2/FX-Trading-with-Python-and-Oanda,NEW,Extended Research,2024-11-12 22:52:05,58.0,48.0,1.0,2017-02-23 07:48:12,2017-08-14 03:21:30,anthonyng2/FX-Trading-with-Python-and-Oanda,inactive,,2021-04-21 01:25:51.827641\ntradingrrl,https://github.com/darden1/tradingrrl,NEW,Extended Research,2024-10-28 08:15:38,64.0,34.0,1.0,2017-03-05 07:20:56,2018-11-14 13:19:52,darden1/tradingrrl,inactive,,2021-04-21 01:25:51.827641\nStockPredictionRNN,https://github.com/dzitkowskik/StockPredictionRNN,NEW,Extended Research,2024-12-16 06:14:33,707.0,279.0,2.0,2015-11-26 19:00:35,2016-05-21 15:51:22,dzitkowskik/StockPredictionRNN,inactive,,2021-04-21 01:25:51.827641\nfinmath-lib,https://github.com/finmath/finmath-lib,NEW,Extended Research,2024-12-19 09:27:50,498.0,171.0,21.0,2013-03-17 10:00:22,2024-12-19 09:27:45,finmath/finmath-lib,active,,2021-04-21 01:25:51.827641\nML-HFT,https://github.com/bradleyboyuyang/ML-HFT,NEW,Extended Research,2024-12-27 19:47:02,379.0,104.0,1.0,2022-03-14 15:05:21,2022-09-20 08:41:02,bradleyboyuyang/ML-HFT,inactive,,2022-12-14 02:16:53.052290\nhft,https://github.com/sbenzev/hft,NEW,Extended Research,2024-10-24 18:40:13,58.0,80.0,1.0,2012-11-29 03:55:33,2012-11-10 23:40:29,sbenzev/hft,inactive,,2022-03-30 02:25:09.963278\nHighFrequencyTradingSVMs,https://github.com/alexdai186/HighFrequencyTradingSVMs,NEW,Extended Research,2023-07-20 11:54:25,92.0,44.0,1.0,2019-01-10 22:29:11,2019-02-24 05:30:19,gaburipeach/HighFrequencyTradingSVMs,inactive,,2022-03-30 02:25:09.963278\nfraud-detection-demo,https://github.com/afedulov/fraud-detection-demo,NEW,Extended Research,2024-12-19 03:56:54,335.0,153.0,2.0,2019-11-04 09:23:17,2023-05-12 09:37:04,afedulov/fraud-detection-demo,active,,2021-04-21 01:25:51.827641\nBayesian Finance,https://github.com/marketneutral/alphatools/blob/master/notebooks/pymc3-minimal.ipynb,Notebook PyMC3 implementation.,Extended Research,2024-12-15 05:19:17,415.0,83.0,1.0,2018-08-28 14:45:00,2020-08-06 22:03:47,marketneutral/alphatools,inactive,,\nCredit-Card-fraud-detection-using-Machine-Learning,https://github.com/LaurentVeyssier/Credit-Card-fraud-detection-using-Machine-Learning,NEW,Extended Research,2024-12-03 13:39:25,69.0,26.0,1.0,2020-10-18 21:08:43,2020-10-19 10:09:56,LaurentVeyssier/Credit-Card-fraud-detection-using-Machine-Learning,inactive,,2024-08-07 01:29:01.411723\nBERT4ETH_PyTorch,https://github.com/Bayi-Hu/BERT4ETH_PyTorch,NEW,Extended Research,2024-09-30 02:05:19,52.0,5.0,1.0,2023-10-17 21:49:07,2023-12-01 05:20:19,Bayi-Hu/BERT4ETH_PyTorch,active,,2024-07-24 01:28:24.540183\nbarter-data-rs,https://github.com/barter-rs/barter-data-rs,NEW,Extended Research,2024-12-28 08:58:36,100.0,63.0,9.0,2022-10-09 17:00:33,2024-07-12 20:14:00,barter-rs/barter-data-rs,active,,2023-06-21 02:05:50.408289\nQuant-Developers-Resources,https://github.com/cybergeekgyan/Quant-Developers-Resources,NEW,Extended Research,2024-12-27 11:03:16,161.0,28.0,1.0,2023-10-16 18:04:31,2024-07-28 08:06:18,cybergeekgyan/Quant-Developers-Resources,active,,2024-07-17 01:29:09.966975\nHoloScope,https://github.com/shenghua-liu/HoloScope,NEW,Extended Research,2023-11-16 03:23:09,51.0,16.0,1.0,2017-02-17 21:09:11,2021-06-01 08:20:53,shenghua-liu/HoloScope,inactive,,2023-03-08 02:20:58.859774\nexchange-core,https://github.com/mzheravin/exchange-core,NEW,Extended Research,2024-12-27 16:53:56,2121.0,819.0,10.0,2018-08-05 18:25:16,2022-05-14 19:22:32,exchange-core/exchange-core,inactive,,2021-04-21 01:25:51.827641\nhftrx,https://github.com/ua1arn/hftrx,NEW,Extended Research,2024-12-25 22:57:40,84.0,34.0,6.0,2018-12-23 17:25:32,2024-08-15 08:40:34,ua1arn/hftrx,active,,2023-08-09 01:56:15.532891\nFXBot,https://github.com/trentstauff/FXBot,NEW,Extended Research,2024-12-28 11:05:58,210.0,73.0,2.0,2021-05-10 20:47:59,2022-04-21 21:19:10,trentstauff/FXBot,inactive,,2022-07-27 03:11:56.566644\ndemo-fraud-detection-with-p2p,https://github.com/neo4j-product-examples/demo-fraud-detection-with-p2p,NEW,Extended Research,2024-11-13 16:30:14,69.0,32.0,1.0,2022-02-26 21:15:04,2023-06-12 16:55:38,neo4j-product-examples/demo-fraud-detection-with-p2p,active,,2023-09-20 01:41:32.583152\nDRL_for_Active_High_Frequency_Trading,https://github.com/FinancialComputingUCL/DRL_for_Active_High_Frequency_Trading,NEW,Extended Research,2024-12-21 16:00:47,58.0,20.0,2.0,2022-10-06 10:04:03,2023-10-23 08:41:48,FinancialComputingUCL/DRL_for_Active_High_Frequency_Trading,active,,2024-09-04 01:28:52.917419\navellaneda-stoikov,https://github.com/ragoragino/avellaneda-stoikov,NEW,Extended Research,2024-12-11 09:00:31,89.0,31.0,1.0,2017-10-21 20:53:00,2017-10-30 18:23:27,ragoragino/avellaneda-stoikov,inactive,,2021-04-21 01:25:51.827641\nFlashFunk,https://github.com/HFQR/FlashFunk,NEW,Extended Research,2024-12-12 10:08:28,120.0,37.0,5.0,2020-09-18 13:14:37,2024-09-01 15:36:32,HFQR/FlashFunk,active,,2021-07-28 01:53:22.622209\ntalkingdata-adtracking-fraud-detection,https://github.com/flowlight0/talkingdata-adtracking-fraud-detection,NEW,Extended Research,2024-09-24 13:22:28,228.0,58.0,1.0,2018-03-21 11:27:31,2018-06-10 15:30:50,flowlight0/talkingdata-adtracking-fraud-detection,inactive,,2021-04-21 01:25:51.827641\nBookmarklet-Hacks-For-School,https://github.com/xploitspeeds/Bookmarklet-Hacks-For-School,NEW,Extended Research,2024-12-15 12:50:39,151.0,99.0,2.0,2020-10-06 14:46:38,2021-12-15 22:06:05,xploitspeeds/Bookmarklet-Hacks-For-School,inactive,,2022-09-28 03:32:02.272302\nChronicle-Accelerate,https://github.com/peter-lawrey-admin/Chronicle-Accelerate,NEW,Extended Research,2023-11-21 09:45:58,60.0,14.0,6.0,2018-01-24 08:52:53,2018-08-11 12:11:43,peter-lawrey-admin/Chronicle-Accelerate,inactive,,2023-11-22 01:51:50.415499\nNLP Finance Papers,https://github.com/chenbowen184/Research_Documents_Curation_with_NLP,Curating quantitative finance papers using machine learning.,Extended Research,2024-10-03 02:08:11,18.0,15.0,1.0,2018-10-11 20:32:37,2018-12-24 23:27:55,chen-bowen/Research_Documents_Curation_with_NLP,inactive,,\nalgo-trading-server,https://github.com/cryptocontrol/algo-trading-server,NEW,Extended Research,2024-11-12 17:55:53,64.0,29.0,5.0,2019-03-07 15:08:36,2019-08-25 16:22:24,cryptocontrol/algo-trading-server,inactive,,2023-06-28 02:24:17.308219\nFraud_Detection,https://github.com/KSpiliop/Fraud_Detection,NEW,Extended Research,2024-10-15 08:04:36,52.0,14.0,1.0,2017-04-23 19:26:01,2017-04-26 18:15:30,KSpiliop/Fraud_Detection,inactive,,2024-01-03 01:45:13.543445\nEconomic Foundations,https://github.com/SeanMcOwen/FinanceAndPython.com-EconomicFoundations,Basic economic models.,Extended Research,2024-08-23 06:55:31,5.0,4.0,1.0,2017-05-25 02:27:36,2017-06-30 03:53:59,FinanceAndPython/FinanceAndPython.com-EconomicFoundations,inactive,,\nHFTrader,https://github.com/DrAshBooth/HFTrader,NEW,Extended Research,2024-11-19 02:57:26,90.0,52.0,0.0,2012-12-03 13:57:19,2012-12-12 17:17:09,DrAshBooth/HFTrader,inactive,,2021-04-21 01:25:51.827641\nHigh-Frequency-Trading-FPGA-System,https://github.com/muditbhargava66/High-Frequency-Trading-FPGA-System,NEW,Extended Research,2024-12-25 18:48:19,67.0,11.0,1.0,2024-03-14 07:13:30,2024-04-25 20:53:26,muditbhargava66/High-Frequency-Trading-FPGA-System,active,,2024-09-25 01:30:05.429262\nWerk,https://github.com/AgalmicVentures/Werk,NEW,Extended Research,2024-12-07 16:35:30,64.0,16.0,1.0,2017-01-07 21:32:01,2022-08-21 01:09:33,AgalmicVentures/Werk,inactive,,2023-10-18 01:43:11.697362\nOrderImbalance,https://github.com/shaileshkakkar/OrderImbalance,NEW,Extended Research,2024-12-18 10:10:49,126.0,66.0,1.0,2018-06-04 16:35:40,2018-06-04 16:49:26,shaileshkakkar/OrderImbalance,inactive,,2021-11-10 01:47:27.749840\nBuilding-A-Trading-Strategy-With-Python,https://github.com/bideeen/Building-A-Trading-Strategy-With-Python,NEW,Extended Research,2024-12-16 11:37:32,56.0,17.0,1.0,2020-02-02 15:04:26,2020-02-02 15:12:38,bideeen/Building-A-Trading-Strategy-With-Python,inactive,,2024-05-01 01:27:45.341422\nHFT,https://github.com/JiayuZou2020/HFT,NEW,Extended Research,2024-11-06 07:20:27,126.0,13.0,1.0,2022-04-11 09:25:34,2023-03-15 07:38:42,JiayuZou2020/HFT,active,,2023-03-22 02:01:07.929004\nmbt_gym,https://github.com/JJJerome/mbt_gym,NEW,Extended Research,2024-12-01 15:46:14,154.0,44.0,4.0,2022-05-09 11:19:28,2024-01-08 16:07:53,JJJerome/mbt_gym,active,,2022-11-23 02:26:52.095797\nflow,https://github.com/yazanobeidi/flow,NEW,Extended Research,2024-11-12 09:47:33,69.0,25.0,1.0,2016-05-11 20:38:31,2016-05-14 16:02:05,yazanobeidi/flow,inactive,,2022-03-02 02:04:51.616795\nMarket Crash Prediction,https://github.com/sarachmax/MarketCrashes_Prediction/blob/master/LPPL_Comparasion.ipynb,Predicting market crashes using an LPPL model.,Extended Research,2024-10-18 21:05:10,6.0,4.0,1.0,2019-01-24 13:37:45,2019-02-13 16:48:00,sarachmax/MarketCrashes_Prediction,inactive,,\nHFCrypto,https://github.com/PsiPhiTheta/HFCrypto,NEW,Extended Research,2024-07-24 08:16:43,54.0,25.0,3.0,2017-01-28 12:35:17,2017-11-01 22:15:32,PsiPhiTheta/HFCrypto,inactive,,2022-03-02 02:04:51.616795\nCorporate Finance,https://github.com/SeanMcOwen/FinanceAndPython.com-CorporateFinance,Basic corporate finance.,Extended Research,2024-09-23 04:55:28,15.0,7.0,1.0,2017-09-09 03:35:24,2017-09-09 23:04:48,FinanceAndPython/FinanceAndPython.com-CorporateFinance,inactive,,\nTradingStrategies,https://github.com/SoftAlgoTrade/TradingStrategies,NEW,Extended Research,2024-12-13 04:19:50,161.0,62.0,1.0,2017-05-22 20:46:35,2017-10-29 11:09:37,SoftAlgoTrade/TradingStrategies,inactive,,2021-04-21 01:25:51.827641\nESL,https://github.com/INET-Complexity/ESL,NEW,Extended Research,2024-12-05 22:47:28,61.0,13.0,2.0,2019-07-21 19:12:33,2022-06-23 00:52:40,INET-Complexity/ESL,inactive,,2023-08-23 01:37:48.265993\ndl-ml-twitch-macos,https://github.com/bshang165/dl-ml-twitch-macos,NEW,Extended Research,2023-06-20 20:23:19,50.0,0.0,1.0,2023-06-09 14:55:24,2023-06-24 17:14:37,bshang165/dl-ml-twitch-macos,active,,2023-06-21 02:05:50.408289\nperformance,https://github.com/alexkachanov/performance,NEW,Extended Research,2024-10-21 03:53:55,79.0,36.0,1.0,2017-11-28 04:10:43,2022-01-19 10:52:06,alexkachanov/performance,inactive,,2021-11-10 01:47:27.749840\nantifraud,https://github.com/finint/antifraud,NEW,Extended Research,2024-12-27 19:58:24,205.0,77.0,7.0,2023-03-22 12:54:08,2024-12-21 09:00:06,AI4Risk/antifraud,active,,2023-09-13 01:40:51.195072\nejtraderCT,https://github.com/ejtraderLabs/ejtraderCT,NEW,Extended Research,2024-12-23 14:43:11,62.0,21.0,2.0,2021-02-16 15:08:12,2023-07-13 14:04:21,ejtraderLabs/ejtraderCT,active,,2024-06-12 01:28:14.508406\n2018-Kaggle-AdTrackingFraud,https://github.com/ShawnyXiao/2018-Kaggle-AdTrackingFraud,NEW,Extended Research,2024-03-29 23:16:50,75.0,24.0,1.0,2018-05-08 09:29:46,2019-01-12 07:57:33,ShawnyXiao/2018-Kaggle-AdTrackingFraud,inactive,,2021-04-21 01:25:51.827641\nbeymani,https://github.com/pranab/beymani,NEW,Extended Research,2023-07-23 10:23:11,129.0,69.0,0.0,2012-01-04 07:22:01,2022-04-26 18:46:04,pranab/beymani,inactive,,2021-04-21 01:25:51.827641\nHFT,https://github.com/rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy,High frequency trading.,Extended Research,2024-12-26 14:46:05,1971.0,673.0,1.0,2016-07-21 05:14:14,2022-08-27 20:48:33,rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy,inactive,,\nCredit-Card-Fraud-Detection,https://github.com/sagnikghoshcr7/Credit-Card-Fraud-Detection,NEW,Extended Research,2024-12-25 11:25:00,87.0,42.0,2.0,2020-08-15 21:06:58,2020-10-02 09:12:54,sagnikghoshcr7/Credit-Card-Fraud-Detection,inactive,,2024-01-31 01:40:44.648255\ngym-fx,https://github.com/harveybc/gym-fx,NEW,Extended Research,2024-12-24 03:50:15,207.0,52.0,1.0,2017-02-21 21:04:09,2023-01-08 17:22:00,harveybc/gym-fx,active,,2021-04-21 01:25:51.827641\nroq-api,https://github.com/roq-trading/roq-api,NEW,Extended Research,2024-12-28 10:17:45,468.0,113.0,2.0,2018-03-05 08:37:57,2024-12-28 10:16:51,roq-trading/roq-api,active,,2021-04-21 01:25:51.827641\nFraud_Detector,https://github.com/kskk02/Fraud_Detector,NEW,Extended Research,2024-02-23 15:14:07,67.0,37.0,1.0,2014-07-03 20:52:51,2015-01-15 22:03:04,kskk02/Fraud_Detector,inactive,,2021-04-21 01:25:51.827641\ngo-quantcup,https://github.com/rdingwall/go-quantcup,NEW,Extended Research,2024-12-18 14:47:16,95.0,41.0,1.0,2015-02-04 10:33:12,2015-06-11 12:50:09,rdingwall/go-quantcup,inactive,,2021-04-21 01:25:51.827641\nFraudDetection-Microservices,https://github.com/melofred/FraudDetection-Microservices,NEW,Extended Research,2024-08-15 19:10:14,93.0,50.0,1.0,2016-06-08 23:24:21,2017-01-18 17:52:01,melofred/FraudDetection-Microservices,inactive,,2021-04-21 01:25:51.827641\nAlgo-Trading,https://github.com/Manudecara/Algo-Trading,NEW,Extended Research,2024-12-28 04:46:17,120.0,32.0,1.0,2020-07-07 10:14:46,2021-09-15 15:46:50,Manudecara/Algo-Trading,inactive,,2022-08-03 03:11:33.837114\nMacroHFT,https://github.com/ZONG0004/MacroHFT,NEW,Extended Research,2024-12-17 14:58:02,73.0,27.0,1.0,2024-06-19 12:56:35,2024-06-28 17:33:59,ZONG0004/MacroHFT,active,,2024-08-28 01:28:50.999283\nPE-HFT-Python,https://github.com/PortfolioEffect/PE-HFT-Python,NEW,Extended Research,2024-11-30 16:58:11,66.0,43.0,2.0,2015-11-11 00:58:39,2017-08-08 02:06:15,PortfolioEffect/PE-HFT-Python,inactive,,2021-07-07 01:48:46.755450\nDGFraud-TF2,https://github.com/safe-graph/DGFraud-TF2,NEW,Extended Research,2024-12-18 11:18:00,129.0,31.0,4.0,2021-05-13 18:47:01,2022-04-20 21:36:35,safe-graph/DGFraud-TF2,inactive,,2022-03-09 02:05:48.143518\nTalkingData,https://github.com/CuteChibiko/TalkingData,NEW,Extended Research,2023-04-22 13:58:17,104.0,41.0,1.0,2018-05-09 15:17:45,2018-05-11 01:32:26,CuteChibiko/TalkingData,inactive,,2021-04-21 01:25:51.827641\nECE1373_2016_hft_on_fpga,https://github.com/mustafabbas/ECE1373_2016_hft_on_fpga,NEW,Extended Research,2024-12-24 06:41:42,122.0,33.0,1.0,2017-06-01 20:35:13,2017-06-08 18:47:08,mustafabbas/ECE1373_2016_hft_on_fpga,inactive,,2022-09-21 03:43:07.816825\nmoxt,https://github.com/f0cii/moxt,NEW,Extended Research,2024-12-22 09:44:14,51.0,3.0,1.0,2023-12-07 14:35:55,2024-10-20 13:49:55,f0cii/moxt,active,,2024-12-18 01:30:03.723545\nAxial-LOB-High-Frequency-Trading-with-Axial-Attention,https://github.com/LeonardoBerti00/Axial-LOB-High-Frequency-Trading-with-Axial-Attention,NEW,Extended Research,2024-12-31 10:13:55,50.0,19.0,1.0,2023-01-26 16:06:21,2023-04-06 09:56:53,LeonardoBerti00/Axial-LOB-High-Frequency-Trading-with-Axial-Attention,active,,2025-01-01 01:30:38.494167\nalgotrading,https://github.com/ivopetiz/algotrading,NEW,Extended Research,2024-12-28 16:17:14,1153.0,177.0,3.0,2018-07-10 22:10:41,2024-06-23 17:02:46,ivopetiz/algotrading,active,,2021-04-21 01:25:51.827641\nfraud-detection-handbook,https://github.com/Fraud-Detection-Handbook/fraud-detection-handbook,NEW,Extended Research,2024-12-27 07:45:00,510.0,178.0,2.0,2021-05-03 11:33:12,2022-09-08 09:01:56,Fraud-Detection-Handbook/fraud-detection-handbook,inactive,,2021-07-28 01:53:22.622209\ncashflows,https://github.com/jdvelasq/cashflows,NEW,Extended Research,2024-11-12 23:49:45,81.0,28.0,2.0,2016-11-23 22:47:40,2021-07-22 22:00:46,jdvelasq/cashflows,inactive,,2022-03-30 02:25:09.963278\nfraudfinder,https://github.com/GoogleCloudPlatform/fraudfinder,NEW,Extended Research,2024-12-03 20:46:01,210.0,79.0,9.0,2022-09-01 10:37:19,2024-02-08 17:18:59,GoogleCloudPlatform/fraudfinder,active,,2023-02-01 02:24:40.551327\nITCH,https://github.com/martinobdl/ITCH,NEW,Extended Research,2024-12-28 06:52:53,234.0,66.0,3.0,2019-03-09 18:20:12,2021-10-22 23:41:53,martinobdl/ITCH,inactive,,2021-04-21 01:25:51.827641\nFaceLivenessDetection-Android,https://github.com/kby-ai/FaceLivenessDetection-Android,NEW,Extended Research,2024-12-26 14:44:23,52.0,36.0,1.0,2023-03-08 13:40:38,2024-12-26 14:36:59,kby-ai/FaceLivenessDetection-Android,active,,2024-03-13 01:42:15.204542\nFraud_Detection_SQL,https://github.com/maitree7/Fraud_Detection_SQL,NEW,Extended Research,2024-12-04 20:15:17,60.0,21.0,1.0,2020-05-03 02:26:28,2020-05-03 06:38:08,maitree7/Fraud_Detection_SQL,inactive,,2024-09-11 01:28:58.785852\nwtpy,https://github.com/wondertrader/wtpy,NEW,Extended Research,2024-12-27 10:55:10,1004.0,270.0,7.0,2020-06-18 01:43:25,2023-12-31 14:51:00,wondertrader/wtpy,active,,2021-04-21 01:25:51.827641\nInteractiveBrokers-Algo-System,https://github.com/rediar/InteractiveBrokers-Algo-System,NEW,Extended Research,2024-11-15 07:54:48,245.0,89.0,1.0,2018-01-21 03:09:41,2023-06-12 01:31:10,rediar/InteractiveBrokers-Algo-Trading-API,active,,2021-04-21 01:25:51.827641\nHFT-price-prediction,https://github.com/hzjken/HFT-price-prediction,NEW,Extended Research,2024-12-15 09:47:35,150.0,66.0,1.0,2019-09-26 12:13:55,2019-09-28 05:45:48,hzjken/HFT-price-prediction,inactive,,2022-03-02 02:04:51.616795\ntumbleweed_gdax,https://github.com/AlbatrossAutomated/tumbleweed_gdax,NEW,Extended Research,2024-11-13 13:47:16,51.0,23.0,1.0,2018-03-19 19:30:26,2021-12-24 00:32:01,AlbatrossAutomated/tumbleweed_gdax,inactive,,2024-03-13 01:42:15.204542\nCoiner,https://github.com/jihoonerd/Coiner,NEW,Extended Research,2024-11-09 03:10:44,52.0,22.0,1.0,2017-09-26 04:14:36,2018-01-01 13:13:21,jihoonerd/Coiner,inactive,,2021-04-21 01:25:51.827641\nHigh Frequency,https://github.com/cswaney/prickle,A Python toolkit for high-frequency trade research.,Extended Research,2024-12-15 05:31:11,40.0,21.0,1.0,2016-07-06 20:32:21,2018-06-09 10:53:51,cswaney/prickle,inactive,,\nArbitrage-Crypto-Bot,https://github.com/pepedeveloper007/Arbitrage-Crypto-Bot,NEW,Extended Research,2024-03-29 20:19:30,174.0,42.0,1.0,2024-03-21 20:47:24,2024-03-28 20:57:52,pepedeveloper007/Arbitrage-Crypto-Bot,active,,2024-03-27 01:40:51.202220\nwattnet-fx-trading,https://github.com/Zymrael/wattnet-fx-trading,NEW,Extended Research,2024-11-05 12:33:22,72.0,12.0,1.0,2019-09-13 08:44:27,2020-08-19 05:49:12,Zymrael/wattnet-fx-trading,inactive,,2021-04-21 01:25:51.827641\nDual-Attentive-Tree-aware-Embedding,https://github.com/Roytsai27/Dual-Attentive-Tree-aware-Embedding,NEW,Extended Research,2024-07-15 10:49:26,61.0,19.0,2.0,2020-02-10 03:03:24,2021-07-18 03:12:19,Roytsai27/Dual-Attentive-Tree-aware-Embedding,inactive,,2022-12-21 02:04:22.974529\nrealtime-fraud-detection-with-gnn-on-dgl,https://github.com/awslabs/realtime-fraud-detection-with-gnn-on-dgl,NEW,Extended Research,2024-12-11 16:33:01,209.0,39.0,10.0,2021-03-11 05:05:35,2023-10-29 11:10:36,awslabs/realtime-fraud-detection-with-gnn-on-dgl,active,,2021-11-10 01:47:27.749840\nBehavioural Economics,https://github.com/pcmichaud/notebooks,Behavioural Economics and Finance Python Notebooks.,Extended Research,2024-12-24 16:30:29,18.0,9.0,1.0,2018-12-20 00:21:38,2019-03-26 11:51:46,pcmichaud/notebooks,inactive,,\nMStream,https://github.com/Stream-AD/MStream,NEW,Extended Research,2024-12-18 20:19:34,114.0,20.0,4.0,2019-12-09 09:12:54,2024-01-10 03:25:25,Stream-AD/MStream,active,,2021-07-14 01:45:09.733861\nApplied Corporate Finance,https://github.com/chenbowen184/Data_Science_in_Applied_Corporate_Finance,Studies the empirical behaviours in stock market.,Extended Research,2023-01-30 03:11:28,17.0,11.0,1.0,2018-01-29 05:14:52,2018-07-19 06:25:36,chen-bowen/Data_Science_in_Applied_Corporate_Finance,inactive,,\nSimulation,https://github.com/chenbowen184/Computational_Finance,Investigating simulations as part of computational finance.,Extended Research,2023-06-02 02:45:49,27.0,20.0,1.0,2018-01-29 05:01:52,2018-08-02 05:56:49,chen-bowen/Computational_Finance,inactive,,\nHighFrequencyTradingBot,https://github.com/qtds35k/HighFrequencyTradingBot,NEW,Extended Research,2024-12-16 02:56:01,62.0,30.0,1.0,2019-02-01 06:32:01,2019-02-01 08:26:27,qtds35k/HighFrequencyTradingBot,inactive,,2023-12-13 01:48:56.499560\nChronicle-Accelerate,https://github.com/OpenHFT/Chronicle-Accelerate,NEW,Extended Research,2023-11-21 09:45:58,60.0,14.0,6.0,2018-01-24 08:52:53,2018-08-11 12:11:43,peter-lawrey-admin/Chronicle-Accelerate,inactive,,2021-04-21 01:25:51.827641\navellaneda-stoikov,https://github.com/fedecaccia/avellaneda-stoikov,NEW,Extended Research,2024-12-28 07:47:04,448.0,139.0,1.0,2020-05-02 22:20:21,2020-05-02 22:40:59,fedecaccia/avellaneda-stoikov,inactive,,2021-12-01 01:54:26.681376\nDeep Portfolio,https://github.com/DLColumbia/DL_forFinance,Deep learning for finance Predict volume of bonds.,Extended Research,2024-10-25 09:16:29,44.0,24.0,2.0,2018-05-08 19:34:17,2018-05-09 15:39:25,DLColumbia/DL_forFinance,inactive,,\nDistributedATS,https://github.com/mkipnis/DistributedATS,NEW,Extended Research,2024-12-25 23:42:53,68.0,23.0,2.0,2021-02-22 19:46:33,2024-04-14 13:44:13,mkipnis/DistributedATS,active,,2024-01-17 01:50:10.684502\nfraud-detection-using-machine-learning,https://github.com/awslabs/fraud-detection-using-machine-learning,NEW,Extended Research,2024-12-22 01:39:06,297.0,156.0,6.0,2019-05-17 17:12:46,2024-10-02 19:51:21,aws-solutions-library-samples/fraud-detection-using-machine-learning,active,,2021-04-21 01:25:51.827641\nA-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market,https://github.com/SheikhRabiul/A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market,NEW,Extended Research,2024-12-27 17:06:38,96.0,24.0,1.0,2017-11-27 06:37:43,2019-01-08 18:13:34,SheikhRabiul/A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market,inactive,,2021-04-21 01:25:51.827641\nAwesome-AI-for-cybersecurity,https://github.com/Billy1900/Awesome-AI-for-cybersecurity,NEW,Extended Research,2024-12-07 15:39:12,111.0,19.0,1.0,2021-09-20 04:44:45,2023-10-03 14:25:10,Billy1900/Awesome-AI-for-cybersecurity,active,,2024-01-10 01:50:39.650742\nfx_systrade,https://github.com/ryogrid/fx_systrade,NEW,Extended Research,2024-12-07 11:56:49,89.0,34.0,2.0,2015-07-24 11:46:28,2024-06-01 23:12:33,ryogrid/fx_systrade,active,,2021-04-21 01:25:51.827641\nfingerprintjs-pro-react-native,https://github.com/fingerprintjs/fingerprintjs-pro-react-native,NEW,Extended Research,2024-11-28 09:17:23,62.0,5.0,11.0,2022-01-20 14:11:10,2024-10-08 04:39:06,fingerprintjs/fingerprintjs-pro-react-native,active,,2024-05-29 01:28:29.880903\nkafka-fraud-detector,https://github.com/florimondmanca/kafka-fraud-detector,NEW,Extended Research,2024-11-03 17:20:20,83.0,48.0,3.0,2018-09-13 17:36:49,2019-04-29 22:04:23,florimondmanca/kafka-fraud-detector,inactive,,2021-04-21 01:25:51.827641\nReal Estate Property Fraud,https://github.com/aviroop1/Real_Estate_Property_Fraud,Unsupervised fraud detection model that can identify likely candidates of fraud.,Extended Research,,,,,,,aviroop1/Real_Estate_Property_Fraud,,,\ndashboard,https://github.com/hummingbot/dashboard,NEW,Extended Research,2024-12-27 02:38:11,204.0,134.0,14.0,2022-06-17 19:15:31,2024-12-10 08:23:49,hummingbot/dashboard,active,,2023-05-17 02:01:28.861839\nPythonMatchingEngine,https://github.com/Surbeivol/PythonMatchingEngine,NEW,Extended Research,2024-12-05 06:39:30,100.0,26.0,2.0,2019-05-16 12:06:21,2021-12-30 10:17:35,Surbeivol/PythonMatchingEngine,inactive,,2022-08-03 03:11:33.837114\npython-for-finance,https://github.com/JackJacquier/python-for-finance,NEW,Extended Research,2024-11-29 15:29:08,92.0,57.0,3.0,2020-09-21 12:20:30,2024-11-25 10:26:01,JackJacquier/python-for-finance,active,,2023-09-27 01:41:49.881349\nFraud_Detection_Techniques,https://github.com/wmlba/Fraud_Detection_Techniques,NEW,Extended Research,2024-03-20 23:34:42,78.0,48.0,1.0,2019-02-14 02:27:13,2020-06-14 23:36:47,wmlba/Fraud_Detection_Techniques,inactive,,2021-04-21 01:25:51.827641\nTrading-Bot,https://github.com/RaidasGrisk/Trading-Bot,NEW,Extended Research,2024-11-23 02:04:44,135.0,47.0,1.0,2017-11-27 21:20:40,2018-01-22 21:00:57,raidastauras/Trading-Bot,inactive,,2021-04-21 01:25:51.827641\nmath-finance-cheat-sheet,https://github.com/daleroberts/math-finance-cheat-sheet,NEW,Extended Research,2024-12-14 22:50:47,228.0,31.0,1.0,2014-05-02 00:19:01,2016-11-16 05:57:09,daleroberts/math-finance-cheat-sheet,inactive,,2021-04-21 01:25:51.827641\nbidask,https://github.com/eguidotti/bidask,NEW,Extended Research,2024-12-24 22:29:22,104.0,29.0,3.0,2022-05-08 20:22:40,2024-12-24 22:29:16,eguidotti/bidask,active,,2022-10-19 03:33:27.868296\nCredit-Card-Fraud-Detection-using-Autoencoders-in-Keras,https://github.com/curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras,NEW,Extended Research,2024-12-22 09:41:03,527.0,282.0,1.0,2017-06-09 13:58:13,2019-06-28 09:27:45,curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras,inactive,,2021-04-21 01:25:51.827641\nroq-samples,https://github.com/roq-trading/roq-samples,NEW,Extended Research,2024-12-28 10:17:58,159.0,54.0,3.0,2018-03-27 04:19:09,2024-12-28 10:16:52,roq-trading/roq-cpp-samples,active,,2021-05-05 01:50:21.293278\nHFT,https://github.com/jshellen/HFT,NEW,Extended Research,2024-12-26 08:00:14,414.0,87.0,1.0,2020-07-19 10:31:17,2023-09-24 13:06:18,jshellen/HFT,active,,2022-08-17 03:20:52.042782\nwondertrader,https://github.com/wondertrader/wondertrader,NEW,Extended Research,2024-12-28 19:00:28,4344.0,835.0,15.0,2020-03-30 05:43:52,2024-11-01 12:55:58,wondertrader/wondertrader,active,,2021-04-21 01:25:51.827641\nLSTM-FX,https://github.com/AdamTibi/LSTM-FX,NEW,Extended Research,2024-12-05 21:30:03,99.0,42.0,1.0,2020-09-29 21:30:20,2020-09-29 23:15:18,AdamTibi/LSTM-FX,inactive,,2022-08-17 03:20:52.042782\nM&A,https://github.com/atulram/Finance-and-Stocks,Mergers and Acquisitions.,Extended Research,2023-08-18 10:50:06,4.0,6.0,1.0,2019-01-19 18:16:47,2019-02-18 16:57:19,atulram/Finance-and-Stocks,inactive,,\nantifraud,https://github.com/AI4Risk/antifraud,NEW,Extended Research,2024-12-27 19:58:24,205.0,77.0,7.0,2023-03-22 12:54:08,2024-12-21 09:00:06,AI4Risk/antifraud,active,,2024-01-24 01:52:33.474369\nFraud-Detection-in-Online-Transactions,https://github.com/sharmaroshan/Fraud-Detection-in-Online-Transactions,NEW,Extended Research,2024-12-10 20:26:10,72.0,29.0,1.0,2019-03-31 13:30:44,2019-05-23 07:37:00,sharmaroshan/Fraud-Detection-in-Online-Transactions,inactive,,2023-06-28 02:24:17.308219\ngo-hft-orderbook,https://github.com/alexey-ernest/go-hft-orderbook,NEW,Extended Research,2024-12-25 04:16:47,223.0,59.0,2.0,2019-12-02 18:05:00,2023-12-18 19:21:31,alexey-ernest/go-hft-orderbook,active,,2021-07-28 01:53:22.622209\nCurrency PCA,https://github.com/shanemulqueen/python-finance-pca/blob/master/FX_spots_w_PCA.ipynb,Forex spots PCA.,Extended Research,2024-03-19 21:06:40,5.0,3.0,1.0,2019-03-12 21:11:29,2019-03-12 22:09:10,shanemulqueen/python-finance-pca,inactive,,\nAvellaneda-Stoikov,https://github.com/mdibo/Avellaneda-Stoikov,NEW,Extended Research,2024-12-28 07:47:00,136.0,80.0,1.0,2017-10-16 03:36:34,2020-05-09 23:35:08,mdibo/Avellaneda-Stoikov,inactive,,2021-06-02 04:27:12.212333\nfreqtrade_bot,https://github.com/michael-fourie/freqtrade_bot,NEW,Extended Research,2024-11-07 16:15:57,97.0,37.0,1.0,2020-12-21 00:14:25,2021-01-07 19:52:54,michael-fourie/freqtrade_bot,inactive,,2021-04-21 01:25:51.827641\nsystem,https://github.com/BillRun/system,NEW,Extended Research,2024-12-20 01:47:06,109.0,72.0,11.0,2013-04-11 16:14:53,2022-09-19 14:24:20,BillRun/system,inactive,,2021-04-21 01:25:51.827641\nspartan,https://github.com/rigtorp/spartan,NEW,Extended Research,2024-12-27 03:22:15,278.0,81.0,1.0,2012-11-22 04:29:42,2015-10-31 03:46:06,rigtorp/spartan,inactive,,2021-04-21 01:25:51.827641\nMIDAS,https://github.com/Stream-AD/MIDAS,NEW,Extended Research,2024-12-18 20:19:24,763.0,93.0,3.0,2019-10-23 03:50:50,2024-01-10 05:43:58,Stream-AD/MIDAS,active,,2021-04-21 01:25:51.827641\ncrypto-hft-data,https://github.com/SpiralDevelopment/crypto-hft-data,NEW,Extended Research,2024-12-22 16:27:21,65.0,22.0,1.0,2020-07-20 12:25:45,2020-07-23 15:30:15,SpiralDevelopment/crypto-hft-data,inactive,,2024-02-14 01:40:53.422733\n448Project,https://github.com/HujiaYuYoyo/448Project,NEW,Extended Research,2024-12-13 04:19:54,107.0,57.0,4.0,2018-04-14 21:19:21,2018-06-10 09:29:37,HujiaYuYoyo/448Project,inactive,,2021-04-21 01:25:51.827641\nPyLimitOrderBook,https://github.com/abcabhishek/PyLimitOrderBook,NEW,Extended Research,2024-12-04 15:52:06,92.0,39.0,1.0,2018-01-03 05:56:23,2018-01-03 06:19:23,abcabhishek/PyLimitOrderBook,inactive,,2021-11-10 01:47:27.749840\nneural-finance,https://github.com/Metnew/neural-finance,NEW,Extended Research,2024-11-05 01:30:54,86.0,31.0,1.0,2016-12-30 17:14:13,2017-06-26 22:42:06,Metnew/neural-finance,inactive,,2021-04-21 01:25:51.827641\nbot18,https://github.com/carlos8f/bot18,NEW,Extended Research,2024-12-04 18:16:15,197.0,28.0,2.0,2018-05-23 14:22:25,2018-10-17 08:06:21,carlos8f/bot18,inactive,,2021-04-21 01:25:51.827641\nVPIN_HFT,https://github.com/theopenstreet/VPIN_HFT,NEW,Extended Research,2024-11-13 19:45:04,106.0,39.0,1.0,2017-12-12 15:29:33,2017-12-12 17:32:54,theopenstreet/VPIN_HFT,inactive,,2022-07-27 03:11:56.566644\nFraudDetection,https://github.com/JarFraud/FraudDetection,NEW,Extended Research,2024-12-26 13:47:47,130.0,66.0,2.0,2019-10-07 03:02:28,2022-08-10 07:18:52,JarFraud/FraudDetection,inactive,,2022-03-30 02:25:09.963278\nLife-cycle,https://github.com/atulram/Finance-and-Stocks/blob/master/CompanyLifeCycle.ipynb,Company life cycle.,Extended Research,2023-08-18 10:50:06,4.0,6.0,1.0,2019-01-19 18:16:47,2019-02-18 16:57:19,atulram/Finance-and-Stocks,inactive,,\nReactiveTraderCloud,https://github.com/AdaptiveConsulting/ReactiveTraderCloud,NEW,Extended Research,2024-12-27 03:34:57,1842.0,574.0,97.0,2015-11-13 19:24:11,2024-12-04 12:11:26,AdaptiveConsulting/ReactiveTraderCloud,active,,2021-04-21 01:25:51.827641\ngetIPIntel,https://github.com/blackdotsh/getIPIntel,NEW,Extended Research,2024-12-22 18:32:18,313.0,48.0,5.0,2015-10-02 21:40:50,2024-04-21 06:29:08,blackdotsh/getIPIntel,active,,2021-04-21 01:25:51.827641\ntribeca,https://github.com/michaelgrosner/tribeca,NEW,Extended Research,2024-12-26 21:23:24,4023.0,951.0,22.0,2015-07-07 18:40:45,2018-02-26 18:01:13,michaelgrosner/tribeca,inactive,,2021-04-21 01:25:51.827641\nhftbacktest,https://github.com/nkaz001/hftbacktest,NEW,Extended Research,2024-12-28 19:53:05,2090.0,417.0,9.0,2022-08-25 14:56:36,2024-12-06 15:08:32,nkaz001/hftbacktest,active,,2023-01-04 02:09:18.093104\nCamCapital,https://github.com/camandrewz/CamCapital,NEW,Extended Research,2024-12-26 03:22:05,66.0,27.0,1.0,2021-04-26 21:38:45,2021-04-29 23:06:49,camandrewz/CamCapital,inactive,,2024-02-21 01:40:00.598619\nAXOrderBook,https://github.com/fpga2u/AXOrderBook,NEW,Extended Research,2024-12-28 17:06:07,157.0,65.0,1.0,2022-06-08 02:55:31,2023-06-07 02:03:38,fpga2u/AXOrderBook,active,,2023-10-18 01:43:11.697362\nsolana-trading-cli,https://github.com/outsmartchad/solana-trading-cli,NEW,Extended Research,2024-12-28 21:29:18,313.0,134.0,3.0,2024-05-29 12:08:32,2024-12-03 15:14:41,outsmartchad/solana-trading-cli,active,,2024-08-28 01:28:50.999283\nhFT-Transformer,https://github.com/sony/hFT-Transformer,NEW,Extended Research,2024-12-28 20:18:44,90.0,11.0,1.0,2023-06-26 08:31:19,2023-07-11 01:24:36,sony/hFT-Transformer,active,,2024-01-17 01:50:10.684502\nml-fraud-detection,https://github.com/georgymh/ml-fraud-detection,NEW,Extended Research,2024-12-28 15:36:12,219.0,114.0,2.0,2017-04-27 01:48:35,2018-01-31 21:17:26,georgymh/ml-fraud-detection,inactive,,2021-04-21 01:25:51.827641\nlobster,https://github.com/rubik/lobster,NEW,Extended Research,2024-12-18 19:53:50,139.0,26.0,2.0,2020-09-20 19:21:11,2022-09-03 06:55:49,rubik/lobster,inactive,,2022-11-16 02:45:07.198669\nhft-limit-order-book,https://github.com/fasenderos/hft-limit-order-book,NEW,Extended Research,2024-12-24 09:47:05,146.0,36.0,6.0,2022-07-26 08:02:48,2024-12-23 18:18:34,fasenderos/nodejs-order-book,active,,2023-08-16 01:38:04.685060\nhummingbot,https://github.com/hummingbot/hummingbot,NEW,Extended Research,2024-12-28 22:45:32,8798.0,2957.0,201.0,2019-04-02 21:41:52,2024-12-27 20:21:23,hummingbot/hummingbot,active,,2023-07-12 02:23:06.461951\nshift-python,https://github.com/hanlonlab/shift-python,NEW,Extended Research,2024-12-13 21:50:36,60.0,28.0,6.0,2018-09-21 22:23:12,2023-08-14 21:22:57,hanlonlab/shift-python,active,,2023-08-16 01:38:04.685060\nUGFraud,https://github.com/safe-graph/UGFraud,NEW,Extended Research,2024-12-25 06:40:14,132.0,26.0,2.0,2020-06-01 22:34:14,2022-04-18 04:54:53,safe-graph/UGFraud,inactive,,2021-05-26 02:41:08.838631\nmath-php,https://github.com/markrogoyski/math-php,NEW,Extended Research,2024-12-28 11:40:12,2353.0,242.0,20.0,2016-04-03 17:57:14,2024-04-17 00:09:51,markrogoyski/math-php,active,,2021-04-21 01:25:51.827641\ncredit-card-fraud-detection,https://github.com/sahidul-shaikh/credit-card-fraud-detection,NEW,Extended Research,2024-12-17 07:40:48,89.0,45.0,1.0,2021-01-10 13:58:35,2021-01-10 17:13:33,sahidul-shaikh/credit-card-fraud-detection,inactive,,2023-08-09 01:56:15.532891\nBacktests,https://github.com/AlgoTraders/stock-analysis-engine,Trading data and algorithms.,Extended Research,2024-12-26 22:43:32,1051.0,253.0,3.0,2018-09-16 20:00:36,2020-09-05 13:01:05,AlgoTraders/stock-analysis-engine,inactive,,\nBERT4ETH,https://github.com/git-disl/BERT4ETH,NEW,Extended Research,2024-12-06 05:36:13,100.0,18.0,1.0,2023-02-05 20:36:20,2024-06-21 17:45:01,git-disl/BERT4ETH,active,,2023-12-13 01:48:56.499560\nHFT-CNN,https://github.com/ShimShim46/HFT-CNN,NEW,Extended Research,2024-12-16 08:02:47,121.0,25.0,1.0,2018-08-18 06:39:32,2018-11-09 02:29:00,ShimShim46/HFT-CNN,inactive,,2021-04-21 01:25:51.827641\nhummingbot,https://github.com/KleinF00l/hummingbot,NEW,Extended Research,2024-12-21 17:49:45,169.0,1801.0,0.0,2024-10-30 19:21:46,2024-10-30 19:22:10,KleinF00l/hummingbot,active,,2024-11-06 01:29:06.099052\nQuantitative-Trading-Strategy-Based-on-Machine-Learning,https://github.com/majiajue/Quantitative-Trading-Strategy-Based-on-Machine-Learning,NEW,Factor and Risk Analysis,2024-12-22 17:32:44,16.0,11.0,1.0,2020-08-07 06:22:35,2020-08-04 06:20:36,majiajue/Quantitative-Trading-Strategy-Based-on-Machine-Learning,inactive,,2023-02-22 02:15:25.831315\nEmpirical-Method-in-Finance,https://github.com/yitaohu88/Empirical-Method-in-Finance,NEW,Factor and Risk Analysis,2024-11-04 13:36:03,37.0,20.0,1.0,2021-01-13 23:48:30,2021-01-13 23:57:32,yitaohu88/Empirical-Method-in-Finance,inactive,,2021-12-15 01:51:30.275584\nConvex Optimisation,https://github.com/ssanderson/convex-optimization-for-finance/blob/master/notebooks/Main.ipynb,Convex Optimization for Finance.,Factor and Risk Analysis,2024-07-04 15:43:05,28.0,22.0,1.0,2018-06-26 20:36:47,2019-10-22 21:56:46,ssanderson/convex-optimization-for-finance,inactive,,\nwhitepaper,https://github.com/peacockbsc/whitepaper,NEW,Factor and Risk Analysis,2024-12-26 06:31:33,8.0,3.0,2.0,2021-07-31 23:39:41,2022-08-25 09:52:38,peacockbsc/whitepaper,inactive,,2024-05-01 01:27:52.164684\nQuant Finance,https://github.com/mrefermat/quant_finance,General quant repository.,Factor and Risk Analysis,2024-09-29 08:46:36,48.0,27.0,1.0,2018-08-11 22:59:53,2019-11-12 04:49:01,mrefermat/quant_finance,inactive,,\nequity-risk-model,https://github.com/blaahhrrgg/equity-risk-model,NEW,Factor and Risk Analysis,2024-12-17 15:56:03,31.0,6.0,1.0,2021-11-16 11:29:57,2024-01-30 11:48:44,blaahhrrgg/equity-risk-model,active,,2022-07-27 03:12:05.817551\n-1,https://github.com/Rastaman4e/-1,NEW,Factor and Risk Analysis,,,,,,,Rastaman4e/-1,,,2023-08-30 01:39:52.258766\nTradeFinexLive,https://github.com/XinFinOrg/TradeFinexLive,NEW,Factor and Risk Analysis,2024-06-16 18:32:28,13.0,21.0,8.0,2018-03-21 10:05:22,2021-08-16 11:40:03,XinFinOrg/TradeFinexLive,inactive,,23:57.7\nFactor Analysis,https://github.com/garvit-kudesia91/factor_analysis/blob/master/Factor%20Analysis%20of%20Mutual%20Funds.ipynb,Factor analysis for mutual funds.,Factor and Risk Analysis,2024-12-25 17:02:32,9.0,7.0,1.0,2018-03-13 07:39:20,2018-03-13 07:42:36,garvit-kudesia91/factor_analysis,inactive,,\nBitcoin_Since_Pandemic,https://github.com/at-tan/Bitcoin_Since_Pandemic,NEW,Factor and Risk Analysis,2023-09-17 15:41:18,6.0,1.0,1.0,2022-02-12 11:12:37,2022-02-12 17:46:45,at-tan/Bitcoin_Since_Pandemic,inactive,,2023-06-14 02:10:00.531616\nStatistical Finance,https://github.com/mrefermat/FinancePhD/tree/master/FinancialExperiments,Various financial experiments.,Factor and Risk Analysis,2024-11-02 22:39:30,33.0,23.0,1.0,2015-10-04 09:10:54,2020-03-28 18:33:58,mrefermat/FinancePhD,inactive,,\nVaR GaN,https://github.com/hamaadshah/market_risk_gan_keras,Estimate Value-at-Risk for market risk management using Keras and TensorFlow.,Factor and Risk Analysis,2024-12-19 00:46:48,87.0,43.0,1.0,2018-08-06 16:09:44,2022-06-24 19:05:55,hamaadshah/market_risk_gan_tensorflow,inactive,,\nPyfolio,https://github.com/quantopian/pyfolio,Portfolio and risk analytics in Python.,Factor and Risk Analysis,2024-12-28 04:07:04,5759.0,1787.0,39.0,2015-06-01 15:31:39,2020-02-28 17:30:19,quantopian/pyfolio,inactive,,\nFactor Analysis,https://github.com/alpha-miner/alpha-mind/tree/master/notebooks,Factor strategy notebooks.,Factor and Risk Analysis,2024-11-01 02:10:03,228.0,73.0,5.0,2017-05-01 07:36:54,2022-05-21 15:02:13,alpha-miner/alpha-mind,inactive,,\nRisk and Return,https://github.com/PyDataBlog/Python-for-Data-Science/tree/master/Tutorials,Riskiness of portfolios and assets.,Factor and Risk Analysis,2024-12-22 18:13:48,168.0,71.0,2.0,2017-09-12 13:35:09,2020-08-06 12:35:44,PyDataBlog/Python-for-Data-Science,inactive,,\nAn-Analysis-of-PCA-and-Autoencoder-Generated-Factors-in-Predicting-SP500-Returns,https://github.com/Leo8216/An-Analysis-of-PCA-and-Autoencoder-Generated-Factors-in-Predicting-SP500-Returns,NEW,Factor and Risk Analysis,2024-06-02 11:09:11,7.0,2.0,1.0,2020-01-18 00:53:46,2020-01-18 03:59:36,Leo8216/An-Analysis-of-PCA-and-Autoencoder-Generated-Factors-in-Predicting-SP500-Returns,inactive,,2023-11-29 01:47:27.779477\ntwo_factor_vasicek_python,https://github.com/open-source-modelling/two_factor_vasicek_python,NEW,Factor and Risk Analysis,2024-11-29 00:42:58,6.0,3.0,3.0,2022-03-25 07:42:55,2022-12-03 08:18:23,open-source-modelling/two_factor_vasicek_python,inactive,,2024-10-30 01:29:26.319167\nVarious Risk Measures,https://github.com/Jorgencr/Alternative-and-Responsible-Investments/blob/master/Final_masterfile.ipynb,Risk measures and factors for alternative and responsible investments.,Factor and Risk Analysis,2024-12-08 21:47:02,9.0,6.0,1.0,2017-08-07 14:44:32,2017-08-08 22:52:11,Jorgencr/Alternative-and-Responsible-Investments,inactive,,\nRisk Basic,https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%203%2C%20Risk.ipynb,Active portfolio risk management .,Factor and Risk Analysis,2024-10-14 08:06:28,45.0,21.0,1.0,2016-05-10 11:03:48,2016-05-17 03:44:56,RJT1990/Active-Portfolio-Management-Notes,inactive,,\n-L-,https://github.com/jettbrains/-L-,NEW,Factor and Risk Analysis,2024-12-27 15:31:44,75.0,34.0,1.0,2019-10-28 21:50:26,2019-10-28 21:51:19,jettbrains/-L-,inactive,,23:57.7\nPerformance Analysis,https://github.com/quantopian/alphalens,Performance analysis of predictive (alpha) stock factors.,Factor and Risk Analysis,2024-12-28 04:06:59,3449.0,1165.0,15.0,2016-06-03 21:49:15,2020-04-27 18:40:41,quantopian/alphalens,inactive,,\nBitcoin-Price-Prediction-using-AI-ML.,https://github.com/ananya2001gupta/Bitcoin-Price-Prediction-using-AI-ML.,NEW,Factor and Risk Analysis,2024-11-27 03:48:59,17.0,0.0,1.0,2022-08-02 13:16:50,2022-08-02 14:29:16,ananya2001gupta/Bitcoin-Price-Prediction-using-AI-ML.,inactive,,2023-10-25 01:41:24.950267\nfinanceMacroFactors,https://github.com/sankhaMukherjee/financeMacroFactors,NEW,Factor and Risk Analysis,2024-03-31 22:49:14,5.0,1.0,1.0,2020-07-22 15:42:14,2020-08-23 14:17:13,sankhaMukherjee/financeMacroFactors,inactive,,2024-04-03 01:40:59.167419\nVaR,https://github.com/willb/var-notebook/blob/master/var-notebook/var-pdfs.ipynb,Value-at-risk calculations.,Factor and Risk Analysis,2021-10-12 20:59:24,11.0,10.0,1.0,2016-11-15 19:24:17,2017-01-14 21:19:30,willb/var-notebook,inactive,,\nstock-market-analysis-using-python-numpy-pandas,https://github.com/Ashishsinha10/stock-market-analysis-using-python-numpy-pandas,NEW,Factor and Risk Analysis,2024-09-04 16:25:20,21.0,7.0,1.0,2018-04-10 05:15:49,2018-04-10 05:28:54,Ashishsinha10/stock-market-analysis-using-python-numpy-pandas,inactive,,23:57.7\nsimulate,https://github.com/leolle/simulate,NEW,Factor and Risk Analysis,2023-08-24 07:19:52,16.0,4.0,1.0,2017-06-04 15:18:21,2018-11-11 14:03:40,leolle/simulate,inactive,,23:57.7\nMachine_learning_In_Finance,https://github.com/chaudharigauravi/Machine_learning_In_Finance,NEW,Factor and Risk Analysis,2024-03-25 16:31:58,18.0,6.0,1.0,2019-08-03 04:04:51,2019-08-03 04:05:32,chaudharigauravi/Machine_learning_In_Finance,inactive,,23:57.7\nSafetyAndTrade,https://github.com/vrdcas/SafetyAndTrade,NEW,Factor and Risk Analysis,2024-11-18 08:18:52,11.0,1.0,1.0,2020-04-11 20:18:03,2020-04-12 17:00:36,vrdcas/SafetyAndTrade,inactive,,2021-11-10 01:47:36.099011\nFEEDN,https://github.com/THEFEASTCOIN/FEEDN,NEW,Factor and Risk Analysis,,,,,,,THEFEASTCOIN/FEEDN,,,2024-09-18 01:29:18.849418\nThe-Reason-Why-Everyone-Love-Mining-Tools,https://github.com/dcstechnoweb/The-Reason-Why-Everyone-Love-Mining-Tools,NEW,Factor and Risk Analysis,2024-12-24 23:10:41,8.0,0.0,1.0,2022-06-13 05:11:36,2022-06-13 05:12:52,dcstechnoweb/The-Reason-Why-Everyone-Love-Mining-Tools,inactive,,2023-11-01 01:46:06.255605\nQuantropy,https://github.com/AlainDaccache/Quantropy,NEW,Factor and Risk Analysis,2024-12-18 22:15:50,143.0,30.0,2.0,2020-06-13 15:34:25,2021-03-15 01:49:23,AlainDaccache/Quantropy,inactive,,2021-05-05 01:50:30.163258\nAlphaTrading,https://github.com/jerryxyx/AlphaTrading,NEW,Factor and Risk Analysis,2024-12-25 05:38:19,348.0,140.0,1.0,2018-05-18 22:09:52,2018-08-07 18:05:37,jerryxyx/AlphaTrading,inactive,,37:06.3\nLiberty-House-Club-Whitepaper,https://github.com/Mdshobu/Liberty-House-Club-Whitepaper,NEW,Factor and Risk Analysis,2024-11-17 06:39:08,16.0,5.0,0.0,2022-07-12 18:36:00,2022-04-22 08:27:24,Mdshobu/Liberty-House-Club-Whitepaper,inactive,,2024-01-24 01:52:41.762869\nLiberty-House-Club-Whitepaper,https://github.com/realbeeed/Liberty-House-Club-Whitepaper,NEW,Factor and Risk Analysis,2023-07-04 19:58:03,8.0,4.0,1.0,2022-04-22 08:25:39,2022-04-22 08:27:24,realbeeed/Liberty-House-Club-Whitepaper,active,,2023-04-19 02:01:58.730674\nLong-Term-Stock-Price-Growth-Prediction-using-NLP-on-10-K-Financial-Reports,https://github.com/deepak223098/Long-Term-Stock-Price-Growth-Prediction-using-NLP-on-10-K-Financial-Reports,NEW,Factor and Risk Analysis,2024-10-24 05:33:41,42.0,9.0,1.0,2019-12-21 07:14:30,2020-07-06 11:21:13,deepak223098/Long-Term-Stock-Price-Growth-Prediction-using-NLP-on-10-K-Financial-Reports,inactive,,2021-11-10 01:47:36.099011\nPython for Finance,https://github.com/yhilpisch/py4fi/tree/master/jupyter36,Various financial notebooks.,Factor and Risk Analysis,2024-12-24 16:24:23,1810.0,904.0,1.0,2014-12-15 11:23:34,2018-07-10 06:38:12,yhilpisch/py4fi,inactive,,\nCAPM,https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%202%2C%20CAPM.ipynb,Expected returns using CAPM.,Factor and Risk Analysis,2024-10-14 08:06:28,45.0,21.0,1.0,2016-05-10 11:03:48,2016-05-17 03:44:56,RJT1990/Active-Portfolio-Management-Notes,inactive,,\nfactor-risk-parity,https://github.com/tngaspar/factor-risk-parity,NEW,Factor and Risk Analysis,2024-12-28 15:04:04,10.0,2.0,1.0,2020-04-05 17:05:40,2022-09-18 14:42:03,tngaspar/factor-risk-parity,inactive,,2023-07-05 02:22:59.556906\none_factor_Hull_White_python,https://github.com/open-source-modelling/one_factor_Hull_White_python,NEW,Factor and Risk Analysis,2024-10-31 17:44:04,8.0,2.0,2.0,2023-01-29 17:45:51,2024-03-24 19:48:04,open-source-modelling/one_factor_Hull_White_python,active,,2024-04-24 01:26:30.152784\nStock-Prediction,https://github.com/Ronak-59/Stock-Prediction,NEW,Factor and Risk Analysis,2024-12-15 14:15:46,210.0,90.0,2.0,2018-03-18 04:54:45,2020-02-28 11:43:07,Ronak-59/Stock-Prediction,inactive,,37:06.3\ntoraniko,https://github.com/0xfdf/toraniko,NEW,Factor and Risk Analysis,2024-12-28 18:35:37,622.0,167.0,1.0,2024-07-03 04:04:59,2024-08-05 04:58:20,0xfdf/toraniko,active,,2024-07-10 01:28:31.281554\nTRACE-corporate-bond-processing,https://github.com/Alexander-M-Dickerson/TRACE-corporate-bond-processing,NEW,Fixed Income,2024-12-23 23:11:22,45.0,14.0,1.0,2020-12-18 10:20:12,2024-10-24 09:27:19,Alexander-M-Dickerson/TRACE-corporate-bond-processing,active,,2023-09-28 01:40:08.764882\npunk.protocol,https://github.com/PunkFinance/punk.protocol,NEW,Fixed Income,2024-08-15 07:29:41,23.0,9.0,2.0,2021-04-29 08:39:42,2021-08-13 11:53:11,PunkFinance/punk.protocol,inactive,,2021-11-04 01:49:46.780625\nVasicek,https://github.com/RobinsonGarcia/fixed-income/blob/master/2.0%20Vasicek%20-%20example.ipynb,Bootstrapping and interpolation.,Fixed Income,2024-04-28 02:25:57,6.0,7.0,1.0,2018-07-18 19:26:54,2018-07-18 19:34:48,RobinsonGarcia/fixed-income,inactive,,\nmarket-data,https://github.com/kriasoft/market-data,NEW,Fixed Income,2024-08-21 10:08:38,35.0,23.0,1.0,2012-12-07 13:42:48,2012-12-15 12:10:06,kriasoft/market-data,inactive,,24:33.4\nrateslib,https://github.com/attack68/rateslib,NEW,Fixed Income,2024-12-28 19:11:30,167.0,31.0,5.0,2023-03-31 12:47:27,2024-12-28 19:11:25,attack68/rateslib,active,,2023-11-23 01:44:46.924754\nwoe,https://github.com/boredbird/woe,NEW,Fixed Income,2024-09-26 19:58:29,256.0,104.0,1.0,2017-09-11 07:15:04,2018-03-01 10:45:40,boredbird/woe,inactive,,24:33.4\nfixed-income,https://github.com/daniel-m-campos/fixed-income,NEW,Fixed Income,2024-12-22 08:26:44,20.0,9.0,1.0,2017-09-17 05:23:47,2020-12-18 01:35:41,daniel-m-campos/fixed-income,inactive,,2024-05-09 01:24:26.574105\nCorporate Bonds,https://github.com/ishank011/gs-quantify-bond-prediction,Predicting the buying and selling volume of the corporate bonds.,Fixed Income,2024-12-27 17:50:19,20.0,10.0,1.0,2017-09-27 19:57:13,2017-09-27 20:00:29,ishank011/gs-quantify-bond-prediction,inactive,,\nBinomial Tree,https://github.com/hy-lei/math-finance-exercise,Utility functions in fixed income securities.,Fixed Income,2024-07-10 06:23:29,8.0,3.0,1.0,2019-02-02 08:44:14,2019-05-03 17:16:52,hy-lei/math-finance-toolbox,inactive,,\nneurons,https://github.com/Aryia-Behroziuan/neurons,NEW,Fixed Income,2024-12-14 11:30:40,60.0,13.0,1.0,2020-11-07 12:17:04,2020-11-07 12:17:06,Aryia-Behroziuan/neurons,inactive,,2023-04-13 01:55:32.250591\npyratings,https://github.com/hsbc/pyratings,NEW,Fixed Income,2024-12-04 16:02:34,20.0,4.0,4.0,2022-03-24 14:51:59,2024-06-18 07:03:07,hsbc/pyratings,active,,2024-06-27 01:26:59.225923\nsagemaker-corporate-credit-rating,https://github.com/awslabs/sagemaker-corporate-credit-rating,NEW,Fixed Income,2024-10-14 20:36:13,21.0,6.0,3.0,2021-11-12 00:49:14,2022-12-20 17:11:03,awslabs/sagemaker-corporate-credit-rating,inactive,,2024-08-29 01:27:36.733597\naugmented-finance-protocol,https://github.com/augmented-finance/augmented-finance-protocol,NEW,Fixed Income,2024-07-10 09:33:35,38.0,19.0,25.0,2021-03-27 11:01:43,2022-02-16 15:58:35,augmented-finance/augmented-finance-protocol,inactive,,2022-01-27 01:48:43.220405\nrating_history,https://github.com/govwiki/rating_history,NEW,Fixed Income,2024-12-02 16:53:00,48.0,21.0,3.0,2017-11-23 22:52:14,2023-06-29 22:16:57,govwiki/rating_history,active,,24:33.4\nMagentoExtensions,https://github.com/5mehulhelp5/MagentoExtensions,NEW,Fixed Income,2024-08-29 18:09:53,121.0,107.0,2.0,2014-07-03 05:45:54,2024-07-29 08:14:55,5mehulhelp5/MagentoExtensions,active,,24:33.4\nR-fixedincome,https://github.com/wilsonfreitas/R-fixedincome,NEW,Fixed Income,2024-12-20 18:12:54,54.0,25.0,1.0,2013-09-16 01:10:50,2023-06-27 08:10:20,wilsonfreitas/R-fixedincome,active,,2022-02-24 01:59:22.777299\nDROP-Fixed-Income,https://github.com/lakshmiDRIP/DROP-Fixed-Income,NEW,Fixed Income,2024-12-18 22:38:46,30.0,14.0,1.0,2017-08-10 20:58:18,2018-09-26 19:21:02,lakshmiDRIP/DROP-Fixed-Income,inactive,,2021-06-17 01:50:56.302719\nTradingView-Machine-Learning-GUI,https://github.com/TreborNamor/TradingView-Machine-Learning-GUI,NEW,Other Models,2024-12-26 20:33:35,781.0,231.0,2.0,2021-01-27 06:42:02,2023-11-19 17:43:32,TreborNamor/TradingView-Machine-Learning-GUI,active,,2021-11-04 01:49:57.418614\nfinance_ml,https://github.com/jjakimoto/finance_ml,unofficial repo based on [Advances in Financial Machine Learning](https://www.amazon.com/Advances-Financial-Machine-Learning-Marcos/dp/1119482089). It's incomplete and not updated,Other Models,2024-12-26 03:03:20,767.0,216.0,1.0,2018-06-29 21:21:17,2021-06-07 19:28:50,jjakimoto/finance_ml,inactive,1.0,39:24.6\nAlgorithmic-Trading,https://github.com/SravB/Algorithmic-Trading,NEW,Other Models,2024-12-13 04:19:51,113.0,74.0,0.0,2017-08-02 03:31:47,2017-12-27 04:21:55,SravB/Algorithmic-Trading,inactive,,2022-09-22 03:28:15.579175\nmosquito,https://github.com/miro-ka/mosquito,base framework trading bot for crypto. Stores data in local mongodb instance and supports backtest and live trading on [poloniex](https://poloniex.com/) and [bittrex](https://bittrex.com/) which are 12-15th ranked crypto exchanges by volume. Leverage [talib](https://github.com/mrjbq7/ta-lib) for ta data and [plotly](https://github.com/plotly/plotly.py) for visualization,Other Models,2024-12-03 00:58:34,262.0,53.0,2.0,2017-06-18 19:57:17,2023-04-23 21:39:31,miro-ka/mosquito,active,3.0,39:24.6\nStock.Indicators,https://github.com/DaveSkender/Stock.Indicators,list of technical indicators implemented in c#. Full list and explanation available [here](https://daveskender.github.io/Stock.Indicators/docs/INDICATORS.html). This list contains several indicators that ta-lib does not cover,Other Models,2024-12-27 10:09:52,1003.0,247.0,18.0,2019-12-29 05:18:07,2024-12-26 08:07:02,DaveSkender/Stock.Indicators,active,3.0,39:24.6\nBinance-Ai-Bot-Starter,https://github.com/Hephyrius/Binance-Ai-Bot-Starter,NEW,Other Models,2024-12-27 12:54:24,109.0,36.0,1.0,2019-03-04 17:47:44,2022-04-17 10:37:31,Hephyrius/Binance-Ai-Bot-Starter,inactive,,2024-02-29 01:37:23.869820\nMLSys-NYU-2022,https://github.com/jacopotagliabue/MLSys-NYU-2022,NEW,Other Models,2024-12-25 23:54:59,379.0,31.0,4.0,2022-07-29 21:57:24,2022-12-11 23:07:15,jacopotagliabue/MLSys-NYU-2022,inactive,,2023-02-02 02:13:42.893436\nbotflow,https://github.com/kkyon/botflow,python dataflow programming framework. Similar and probably replaceable by sklearn.pipeline module. Uses [graphviz](https://graphviz.org/) for visiualization though not maintained with last commit over 3 years ago,Other Models,2024-12-03 03:30:01,1198.0,102.0,8.0,2018-08-20 03:13:31,2019-05-23 14:40:50,kkyon/botflow,inactive,2.0,39:24.6\nawesome-ai-in-finance,https://github.com/georgezouq/awesome-ai-in-finance,curated list of books/online courses/papers on AI and finance. Topics include crypto trading strategies/ta/backter etc.,Other Models,2024-12-28 19:41:28,3663.0,432.0,18.0,2018-08-29 02:07:02,2024-12-20 12:31:01,georgezouq/awesome-ai-in-finance,active,3.0,39:24.6\nMixture Models II,https://github.com/BlackArbsCEO/mixture_model_trading_public,Mixture models and stock trading.,Other Models,2024-08-14 06:17:46,193.0,82.0,1.0,2017-12-11 17:05:38,2020-05-13 23:50:47,BlackArbsCEO/mixture_model_trading_public,inactive,3.0,\ntfq-finance,https://github.com/jialuechen/tfq-finance,NEW,Other Models,2024-12-27 18:39:51,108.0,0.0,1.0,2024-08-03 05:09:18,2024-10-25 03:36:50,jialuechen/tfq-finance,active,,2024-08-15 01:27:31.089731\nStockFormer,https://github.com/gsyyysg/StockFormer,NEW,Other Models,2024-12-24 11:04:56,248.0,60.0,1.0,2023-07-30 07:33:25,2023-10-30 12:23:11,gsyyysg/StockFormer,active,,2024-05-02 01:23:53.364738\nfracdiff,https://github.com/fracdiff/fracdiff,NEW,Other Models,2024-12-27 02:33:21,301.0,61.0,0.0,2021-04-27 06:48:47,2023-02-05 02:51:15,fracdiff/fracdiff,active,,2022-12-22 02:04:58.328612\nfinancial-machine-learning,https://github.com/firmai/financial-machine-learning,NEW,Other Models,2024-12-28 16:19:08,7451.0,1287.0,6.0,2019-03-21 21:00:35,2024-12-27 01:28:09,firmai/financial-machine-learning,active,,2021-12-23 01:53:55.850276\nMathAndScienceNotes,https://github.com/melling/MathAndScienceNotes,Collections of news/articles on various topics including quant trading and machine learning. Some articles are from [ycombinator message board](https://news.ycombinator.com/news) and [rediit algotrading forum](https://www.reddit.com/r/algotrading/),Other Models,2024-12-16 01:03:07,509.0,61.0,1.0,2016-03-11 19:13:00,2020-12-21 03:54:51,melling/MathAndScienceNotes,inactive,3.0,39:24.6\nMachine-Learning-For-Finance,https://github.com/anthonyng2/Machine-Learning-For-Finance,accompanying materials for slide [here](https://github.com/anthonyng2/Machine-Learning-For-Finance/blob/master/Regression%20Based%20Machine%20Learning%20for%20Algorithmic%20Trading/Machine%20Learning%20-%20Linear%20Regression%20for%20Algo%20Trading%20v2017-07-13.pdf) covering more tradition quant trading topics like pair trading/kalman filter/trend following etc. Referecing interesting paper [characterization of financial time series](http://www.cs.ucl.ac.uk/fileadmin/UCL-CS/research/Research_Notes/RN_11_01.pdf),Other Models,2024-12-12 03:06:59,253.0,132.0,1.0,2017-07-11 09:09:15,2018-02-21 05:36:35,anthonyng2/Machine-Learning-For-Finance,inactive,2.0,39:24.6\nShort-Term Movement Cues,https://github.com/anfederico/Clairvoyant,Identify social/historical cues for short term stock movement. Sklearn SVM model is used and good visualization coded in matplotlib,Other Models,2024-12-25 13:57:05,2424.0,767.0,1.0,2016-09-12 18:38:17,2021-06-24 15:43:54,anfederico/clairvoyant,inactive,3.0,\nMachine-Learning-and-AI-in-Trading,https://github.com/PyPatel/Machine-Learning-and-AI-in-Trading,repo covering lstm and other sklearn model for trading. Code is not structured well and less extensible,Other Models,2024-12-24 16:29:32,397.0,130.0,1.0,2017-08-30 06:14:59,2019-10-29 08:14:39,PyPatel/Machine-Learning-and-AI-in-Trading,inactive,2.0,39:24.6\nhyperdrive,https://github.com/suchak1/hyperdrive,NEW,Other Models,2024-12-28 19:12:32,141.0,19.0,2.0,2020-06-12 01:05:01,2023-07-08 05:21:13,suchak1/hyperdrive,active,,2023-12-07 01:46:31.256751\nstock-trading-ml,https://github.com/yacoubb/stock-trading-ml,lstm model using keras to predict msft prices. Data is from [alphavantage](https://www.alphavantage.co/) which provides some free data through web services. Showing how to use concatenation layer to join timeseries data with TA data. Might be abit of overfitting on the model though,Other Models,2024-12-26 13:26:18,626.0,257.0,1.0,2019-10-10 09:44:02,2019-10-12 11:38:49,yacoubb/stock-trading-ml,inactive,3.0,39:24.6\nStock-Market-Analysis,https://github.com/mhsmathew/Stock-Market-Analysis,NEW,Other Models,2024-09-22 10:48:28,100.0,30.0,1.0,2020-04-13 22:22:29,2020-06-13 21:11:47,mhsmathew/Stock-Market-Analysis,inactive,,2024-04-11 01:41:30.665190\nStanford-Project-Predicting-stock-prices-using-a-LSTM-Network,https://github.com/dduemig/Stanford-Project-Predicting-stock-prices-using-a-LSTM-Network,NEW,Other Models,2024-12-20 09:18:30,258.0,52.0,1.0,2019-02-19 17:40:43,2023-07-11 16:44:23,duemig/Stanford-Project-Predicting-stock-prices-using-a-LSTM-Network,active,,2021-06-17 01:51:12.428196\nAwesome-Quant-Machine-Learning-Trading,https://github.com/grananqvist/Awesome-Quant-Machine-Learning-Trading,curated list of books/online courses/youtube videos/blogs/interviews/papers/code etc. Updates are pretty infrequent,Other Models,2024-12-28 14:50:09,2771.0,568.0,3.0,2018-11-05 21:09:06,2020-10-08 16:48:18,grananqvist/Awesome-Quant-Machine-Learning-Trading,inactive,5.0,39:24.6\nScikit-learn Stock Prediction,https://github.com/robertmartin8/MachineLearningStocks,using fundamental and pricing data to predict future stock returns. Sklearn's randomforest classifier is trainded and author claimed positive live trading results. Not actively mainained,Other Models,2024-12-28 15:58:01,1788.0,510.0,2.0,2017-02-12 04:50:44,2021-02-04 03:48:33,robertmartin8/MachineLearningStocks,inactive,3.0,\nMachine-Learning-for-Algorithmic-Trading-Bots-with-Python,https://github.com/PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Bots-with-Python,code repo for [machine learning for algorithmic trading bots](https://www.packtpub.com/application-development/machine-learning-algorithmic-trading-bots-python-video) video series. Contains notebooks and deep dive using [zipline](https://github.com/quantopian/zipline),Other Models,2024-12-17 05:14:39,386.0,167.0,6.0,2018-12-06 11:35:08,2023-01-30 09:31:10,PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Bots-with-Python,active,3.0,39:24.6\nMachine-Learning-for-Asset-Managers,https://github.com/emoen/Machine-Learning-for-Asset-Managers,NEW,Other Models,2024-12-18 02:11:23,496.0,169.0,1.0,2020-06-21 17:56:55,2022-09-07 10:03:16,emoen/Machine-Learning-for-Asset-Managers,inactive,,2021-11-04 01:49:57.418614\nML_Finance_Codes,https://github.com/mfrdixon/ML_Finance_Codes,accompanying materials for book [Machine Learning in Finance](https://www.springer.com/gp/book/9783030410674) covering probabilistic modeling/sequence modeling/neural networks/reinforcement learning etc.,Other Models,2024-12-26 20:54:24,1878.0,507.0,3.0,2019-09-27 16:13:50,2020-06-13 21:20:26,mfrdixon/ML_Finance_Codes,inactive,3.0,39:24.6\nSTOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA,https://github.com/kennedyCzar/STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA,NEW,Other Models,2024-12-27 21:02:49,131.0,35.0,1.0,2018-09-05 03:20:52,2022-09-08 13:19:53,kennedyCzar/STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA,inactive,,2023-04-27 01:58:37.089750\nAmpyFin,https://github.com/yeonholee50/AmpyFin,NEW,Other Models,2024-12-28 05:16:33,135.0,54.0,4.0,2024-09-25 09:03:03,2024-12-24 00:27:30,yeonholee50/AmpyFin,active,,2024-12-12 01:28:48.234650\nAlphaPy,https://github.com/ScottfreeLLC/AlphaPy,machine learning framework built on sklearn and pandas. Support pyfolio/xgboost/lightgmb/catboost(gradient boosting on decision tress) etc. Examples include financial market prediction/sports prediction/kaggle. Configurations are set though yaml file for all model process including feature selection/grid search on parameters and aggregate results for each model,Other Models,2024-12-28 23:24:18,1177.0,210.0,5.0,2016-02-14 00:47:32,2024-12-15 17:30:23,ScottfreeLLC/AlphaPy,active,4.0,39:24.6\nAI-Scalpel-Trading-Bot,https://github.com/hackobi/AI-Scalpel-Trading-Bot,NEW,Other Models,2024-12-24 13:51:27,310.0,54.0,2.0,2019-09-06 07:17:28,2023-08-24 22:50:53,hackobi/AI-Scalpel-Trading-Bot,active,,2021-11-18 01:46:56.309445\nfin-ml,https://github.com/tatsath/fin-ml,accompanying materials for book [Machine Learning and Data Science Blueprints for Finance](https://www.amazon.com/Machine-Learning-Science-Blueprints-Finance/dp/1492073059) on top of basic machine learning models i.e. nlp/reinforcement learning/supervised & unsupervised learning it covers wider topics including robo-advisors/fraud detection/loan default/derivative pricing/yield curve construction.,Other Models,2024-12-27 21:58:33,944.0,422.0,2.0,2020-05-10 00:25:56,2023-01-26 22:03:20,tatsath/fin-ml,active,4.0,39:24.6\nMachine-Learning-for-Finance,https://github.com/PacktPublishing/Machine-Learning-for-Finance,repo for book [machine learning for finance](https://www.packtpub.com/product/machine-learning-for-finance/9781789136364) with heavier focus on machine learning and less on finance. Topics covered including computer vision/time series/nlp/generative models (i.e. autoencoder)/reinforcement learning/debugging ml systems,Other Models,2024-12-27 01:15:08,368.0,211.0,5.0,2018-03-15 06:28:00,2023-01-30 09:45:35,PacktPublishing/Machine-Learning-for-Finance,active,3.0,39:24.6\nMixture Models I,https://github.com/BlackArbsCEO/Mixture_Models,Mixture models to predict market bottoms and regime changes based on a seminar given to quantinsti in 2017 and summary and video is [here](https://blog.quantinsti.com/webinar-can-we-use-mixture-models-to-predict-market-bottoms/). Gaussian mixture models are build on markov models and expectation maximization thoery to detect regimes and seminar reported positive results using features asset returns/tedrate/10y2ysptread/10y3m spread from fred which can be access here [fredapi](https://github.com/mortada/fredapi). Though most of the returns came from being long equities after 2009 ,Other Models,2024-11-22 07:11:17,36.0,35.0,1.0,2017-03-20 18:54:24,2017-04-25 23:35:20,BlackArbsCEO/Mixture_Models,inactive,2.0,\nqlib,https://github.com/microsoft/qlib,NEW,Other Models,2024-12-28 17:12:50,15853.0,2690.0,124.0,2020-08-14 06:46:00,2024-12-26 07:56:41,microsoft/qlib,active,,2023-05-25 01:58:58.951785\nMicroservices-Based-Algorithmic-Trading-System,https://github.com/saeed349/Microservices-Based-Algorithmic-Trading-System,docker based platfrom for developing algo trading strategies. Very interesting combinations of open source components were used including [backtrader](https://www.backtrader.com/) for backtest strategies / [mlflow](https://mlflow.org/) for managing the machine learning model life cycle (i.e. training and developing machine learning models) / [airflow](https://airflow.apache.org/) used as workflow management including schedule data download etc. / [superset](https://superset.apache.org/) web data visualization tool similar to tableau / [minio](https://min.io/) for fast object storage (i.e. storing saved models and model artifacts) / postgresql used to store security master and daily and minute data. Also contains some details on deployment on cloud,Other Models,2024-12-17 18:04:52,482.0,144.0,1.0,2020-01-06 00:21:58,2024-04-08 19:33:16,saeed349/Microservices-Based-Algorithmic-Trading-System,active,5.0,39:24.6\nAMLSim,https://github.com/IBM/AMLSim,NEW,Other Models,2024-12-22 12:44:17,271.0,83.0,5.0,2018-12-18 16:14:56,2022-02-14 01:00:28,IBM/AMLSim,inactive,,2021-07-22 01:53:20.044539\nMLiFC,https://github.com/JannesKlaas/MLiFC,NEW,Other Models,2024-07-26 18:46:57,105.0,59.0,1.0,2017-09-14 11:47:33,2018-02-27 12:15:11,JannesKlaas/MLiFC,inactive,,2022-03-10 02:10:30.131488\nPairs-Trading-with-Machine-Learning,https://github.com/wangy8989/Pairs-Trading-with-Machine-Learning,NEW,Other Models,2024-12-19 13:01:55,113.0,35.0,1.0,2018-05-23 02:29:32,2022-05-13 06:02:12,wangy8989/Pairs-Trading-with-Machine-Learning,inactive,,2024-04-25 01:24:38.807165\nPattern-Recognition-for-Forex-Trading,https://github.com/PythonProgramming/Pattern-Recognition-for-Forex-Trading,repo for article [pattern recognization for forex trading](https://pythonprogramming.net/machine-learning-pattern-recognition-algorithmic-forex-stock-trading/) not very scalable and not maintained,Other Models,2024-12-17 20:50:11,236.0,101.0,1.0,2015-03-26 02:22:03,2015-03-26 02:33:51,PythonProgramming/Pattern-Recognition-for-Forex-Trading,inactive,1.0,39:24.6\nmlfinlab,https://github.com/hudson-and-thames/mlfinlab,open source library maintained by hudson and thames though much of the content has moved to a subscription model. Idea is to implement academic research in python code and aggregate it as a package. Sources from [Journal of financial data science](https://jfds.pm-research.com/) / [journal of portfolio management](https://jpm.pm-research.com/) / [journal of algorithmic finance](http://www.algorithmicfinance.org/) / [cambridge university press](https://www.cambridge.org/),Other Models,2024-12-28 21:50:48,4009.0,1156.0,3.0,2019-02-13 16:57:25,2021-12-01 08:04:50,hudson-and-thames/mlfinlab,inactive,3.0,39:24.6\nsurpriver,https://github.com/tradytics/surpriver,Machine learning algo to detect anomaly in equities data. Uses sklearn [IsolationForest](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.IsolationForest.html) model and price/volume based technical signals as features using [ta](https://github.com/bukosabino/ta) library. Opensourced by [tradytics](https://tradytics.com/). Code structures are less extensible,Other Models,2024-12-27 18:53:55,1788.0,332.0,6.0,2020-08-30 07:56:22,2020-09-21 04:32:05,tradytics/surpriver,inactive,3.0,39:24.6\nHands-On-Machine-Learning-for-Algorithmic-Trading,https://github.com/PacktPublishing/Hands-On-Machine-Learning-for-Algorithmic-Trading,repo for book [hands-on-machine learning for algorithmic trading](https://www.packtpub.com/product/hands-on-machine-learning-for-algorithmic-trading/9781789346411) covering topic from data/unsupervised learning/NPL/RNN & CNN/reinforcement learning etc. Leverage zipline/alphalens/sklearn/openai-gym etc as well. Good references to have,Other Models,2024-12-27 09:10:15,1523.0,643.0,3.0,2019-05-07 11:04:25,2023-01-18 09:16:47,PacktPublishing/Hands-On-Machine-Learning-for-Algorithmic-Trading,active,5.0,39:24.6\nSpeculator,https://github.com/amicks/Speculator,python code to predict crypto prices using machine learning models. Two models used here tensorflow DNNClassifier and sklearn randomforest. Exposes the functionality as web services api using flask. Some idea are based on this paper [predicting the direction of stock market prices](https://arxiv.org/pdf/1605.00003.pdf),Other Models,2024-06-02 00:04:52,103.0,35.0,2.0,2017-09-03 17:43:03,2018-09-12 18:58:38,amicks/Speculator,inactive,3.0,39:24.6\nintelligent-trading-bot,https://github.com/asavinov/intelligent-trading-bot,NEW,Other Models,2024-12-28 22:24:03,1126.0,245.0,2.0,2021-10-24 08:34:07,2024-12-21 10:53:14,asavinov/intelligent-trading-bot,active,,2022-01-06 02:02:52.861734\nmlbot_tutorial,https://github.com/richmanbtc/mlbot_tutorial,NEW,Other Models,2024-12-28 00:08:05,483.0,184.0,3.0,2021-07-19 14:07:12,2022-11-28 08:30:59,richmanbtc/mlbot_tutorial,inactive,,2021-12-02 01:48:54.299974\npybroker,https://github.com/edtechre/pybroker,NEW,Other Models,2024-12-28 22:40:46,2138.0,273.0,3.0,2023-01-16 01:11:52,2024-11-15 07:46:06,edtechre/pybroker,active,,2023-03-09 02:19:51.167524\nCryptoBot,https://github.com/AdeelMufti/CryptoBot,Hard fork of [bitpredit](https://github.com/cbyn/bitpredict) and form the trading strategy as a classification problem with -1 (sell) 0 (hold) 1 (buy). Models used are XGBClassifier/RandomForest/GradientBoosting. Not mentained,Other Models,2024-12-28 01:36:05,366.0,109.0,1.0,2017-01-17 12:44:52,2017-01-17 12:48:17,AdeelMufti/CryptoBot,inactive,2.0,39:24.6\ntuneta,https://github.com/jmrichardson/tuneta,NEW,Other Models,2024-12-24 19:50:18,424.0,70.0,5.0,2021-01-20 01:05:51,2023-10-13 21:26:28,jmrichardson/tuneta,active,,2022-05-26 02:55:21.598499\nFundamental LT Forecasts,https://github.com/Hvass-Labs/FinanceOps,Research in investment finance for long term forecasts and a curated list of notebooks. Each topic contains a youtube video explaining in details. Interesting topics including using price per book ratio and other multiples for future return prediction and portfolio optimization. data sourced form [simfin](https://github.com/SimFin/simfin) yahoo finance and [s&p 500 earnings and estimate report](https://www.spglobal.com/spdji/en/documents/additional-material/sp-500-eps-est.xlsx) etc.,Other Models,2024-12-26 20:54:18,956.0,219.0,1.0,2018-07-22 08:14:46,2022-02-12 13:26:40,Hvass-Labs/FinanceOps,inactive,3.0,\nMachine-Learning-for-Algorithmic-Trading-Second-Edition_Original,https://github.com/PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original,official repo for [machine learning for algorithmic trading](https://www.amazon.com/Machine-Learning-Algorithmic-Trading-alternative/dp/1839217715?pf_rd_r=GZH2XZ35GB3BET09PCCA&pf_rd_p=c5b6893a-24f2-4a59-9d4b-aff5065c90ec&pd_rd_r=91a679c7-f069-4a6e-bdbb-a2b3f548f0c8&pd_rd_w=2B0Q0&pd_rd_wg=GMY5S&ref_=pd_gw_ci_mcx_mr_hp_d) book. Covering topics including backtesting/boosting/nlp/deep&reinforcement learning. Leverage open source libraries including [backtrader](https://www.backtrader.com/) [zipline](https://github.com/quantopian/zipline) and [talib](https://github.com/mrjbq7/ta-lib),Other Models,2024-12-28 12:48:23,1298.0,496.0,5.0,2019-11-15 08:51:40,2023-01-18 09:11:25,PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original,active,4.0,39:24.6\nAlgorithmic_Trading_Machine_Learning,https://github.com/Luchkata/Algorithmic_Trading_Machine_Learning,NEW,Other Models,2024-12-27 08:45:34,253.0,167.0,1.0,2023-10-13 13:26:45,2024-02-04 15:29:13,Luchkata/Algorithmic_Trading_Machine_Learning,active,,2024-01-11 01:48:10.556312\nTrend Following,http://inseaddataanalytics.github.io/INSEADAnalytics/ExerciseSet2.html,A futures trend following portfolio investment strategy.,Other Models,,,,,,,,,,\nFinancial Event Prediction using Machine Learning,https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3481555,,Personal Papers,,,,,,,,,,\nMachine Learning in Asset Management—Part 2: Portfolio Construction—Weight Optimization,https://jfds.pm-research.com/content/2/2/17,,Personal Papers,,,,,,,,,,\nMachine Learning in Asset Management—Part 1: Portfolio Construction—Trading Strategies,https://jfds.pm-research.com/content/2/1/10,,Personal Papers,,,,,,,,,,\nMachine Learning in Asset Management,https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3420952,,Personal Papers,,,,,,,,,,\ndeepfolio,https://github.com/jialuechen/deepfolio,NEW,Portfolio Selection and Optimisation,2024-12-16 19:56:51,110.0,9.0,1.0,2024-05-24 18:30:01,2024-10-11 02:53:20,jialuechen/deepfolio,active,,2024-11-15 01:28:01.681048\n401K Portfolio Optimisation,https://github.com/otosman/Python-for-Finance/blob/master/Portfolio%20Optimization%20401k.ipynb,Portfolio analyses and optimisation for 401K.,Portfolio Selection and Optimisation,2024-12-23 22:46:23,18.0,7.0,1.0,2018-08-01 19:48:24,2019-09-05 11:18:56,otosman/Python-for-Finance,inactive,,\nOLMAR Algorithm,https://github.com/charlessutton/OLMAR/blob/master/Part3.ipynb,Relative importance of each component of the OLMAR algorithm.,Portfolio Selection and Optimisation,2024-04-28 02:12:46,11.0,6.0,1.0,2016-07-26 16:20:10,2016-12-30 11:40:53,charlessutton/OLMAR,inactive,,\nOnline Portfolio Selection,https://nbviewer.jupyter.org/github/paulperry/quant/blob/master/OLPS_Comparison.ipynb,****Comparing OLPS algorithms on a diversified set of ETFs.,Portfolio Selection and Optimisation,,,,,,,,,,\nDeepDow,https://github.com/jankrepl/deepdow,Portfolio optimization with deep learning.,Portfolio Selection and Optimisation,2024-12-23 01:49:47,936.0,138.0,7.0,2020-02-02 08:46:33,2024-01-24 15:56:34,jankrepl/deepdow,active,,\nRiskfolio-Lib,https://github.com/dcajasn/Riskfolio-Lib,NEW,Portfolio Selection and Optimisation,2024-12-29 00:21:39,3142.0,530.0,4.0,2020-03-02 19:49:06,2024-11-13 23:10:08,dcajasn/Riskfolio-Lib,active,,37:19.5\nportfolio-optimize,https://github.com/manujajay/portfolio-optimize,NEW,Portfolio Selection and Optimisation,2024-11-25 17:50:11,105.0,13.0,1.0,2024-03-10 19:40:41,2024-03-11 23:33:22,manujajay/portfolio-optimize,active,,2024-05-24 01:25:31.521529\nReinforcement Learning,https://github.com/filangel/qtrader,Reinforcement Learning for Portfolio Management.,Portfolio Selection and Optimisation,2024-12-17 23:03:12,457.0,168.0,1.0,2017-10-07 09:14:33,2018-06-26 09:22:27,filangelos/qtrader,inactive,,\nModern Portfolio Theory,https://nbviewer.jupyter.org/github/Marigold/universal-portfolios/blob/master/modern-portfolio-theory.ipynb,Universal portfolios; modern portfolio theory.,Portfolio Selection and Optimisation,,,,,,,,,,\nnode-finance,https://github.com/albertosantini/node-finance,NEW,Portfolio Selection and Optimisation,2024-11-12 20:18:47,122.0,26.0,3.0,2011-09-17 17:49:56,2022-09-30 05:08:24,albertosantini/node-finance,inactive,,37:19.5\nfinance-courses,https://github.com/z4ir3/finance-courses,NEW,Portfolio Selection and Optimisation,2024-12-25 18:41:06,181.0,120.0,1.0,2019-10-10 10:50:03,2023-12-11 23:09:10,z4ir3/finance-courses,active,,2022-03-18 02:12:10.767052\nDistribution Characteristic Optimisation,https://github.com/VivekPa/OptimalPortfolio,Extends classical portfolio optimisation to take the skewness and kurtosis of the distribution of market invariants into account.,Portfolio Selection and Optimisation,2024-12-25 02:00:38,359.0,92.0,3.0,2018-11-16 12:20:25,2024-02-27 21:38:36,VivekPa/OptimalPortfolio,active,,\nEfficient Frontier,https://github.com/tthustla/efficient_frontier/blob/master/Efficient%20_Frontier_implementation.ipynb,Modern Portfolio Theory.,Portfolio Selection and Optimisation,2024-12-19 16:02:30,191.0,73.0,1.0,2018-02-17 08:19:46,2018-02-27 13:16:57,tthustla/efficient_frontier,inactive,,\ncvxportfolio,https://github.com/cvxgrp/cvxportfolio,NEW,Portfolio Selection and Optimisation,2024-12-24 09:27:07,1010.0,257.0,13.0,2017-01-11 01:16:16,2024-12-18 17:01:33,cvxgrp/cvxportfolio,active,,2023-04-14 01:54:57.485735\nDeep Portfolio Theory,https://github.com/tcloaa/Deep-Portfolio-Theory,Autoencoder framework for portfolio selection.,Portfolio Selection and Optimisation,2024-09-25 17:32:45,129.0,63.0,1.0,2017-02-10 09:03:08,2018-03-08 16:47:00,tcloaa/Deep-Portfolio-Theory,inactive,,\nokama,https://github.com/mbk-dev/okama,NEW,Portfolio Selection and Optimisation,2024-12-16 14:29:06,214.0,35.0,6.0,2020-03-02 14:48:29,2024-10-11 09:05:47,mbk-dev/okama,active,,2022-10-07 03:12:00.541788\nPyPortfolioOpt,https://github.com/robertmartin8/PyPortfolioOpt,\"Financial portfolio optimisation, including classical efficient frontier and advanced methods.\",Portfolio Selection and Optimisation,2024-12-28 19:27:03,4650.0,968.0,36.0,2018-05-29 13:30:30,2024-12-01 19:45:52,robertmartin8/PyPortfolioOpt,active,,\nriskparity.py,https://github.com/convexfi/riskparity.py,NEW,Portfolio Selection and Optimisation,2024-12-10 21:03:54,291.0,65.0,5.0,2019-07-13 21:30:55,2024-05-27 00:29:29,convexfi/riskparity.py,active,,2022-11-18 02:45:12.756264\nPolicy Gradient Portfolio,https://github.com/ZhengyaoJiang/PGPortfolio,A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem.,Portfolio Selection and Optimisation,2024-12-25 14:23:35,1754.0,754.0,6.0,2017-11-12 16:08:44,2021-07-30 15:03:59,ZhengyaoJiang/PGPortfolio,inactive,,\nriskparity.py,https://github.com/dppalomar/riskparity.py,NEW,Portfolio Selection and Optimisation,2024-12-10 21:03:54,291.0,65.0,5.0,2019-07-13 21:30:55,2024-05-27 00:29:29,convexfi/riskparity.py,active,,37:19.5\nnews-emotion,https://github.com/dongyuanxin/news-emotion,NEW,Textual,2024-12-13 06:41:17,340.0,128.0,1.0,2017-09-14 02:59:03,2018-06-11 13:47:51,dongyuanxin/news-emotion,inactive,,24:28.5\nFinBERT,https://github.com/psnonis/FinBERT,NEW,Textual,2024-12-21 07:39:37,199.0,62.0,3.0,2019-07-09 16:34:27,2020-05-19 02:02:20,psnonis/FinBERT,inactive,,24:28.5\nChatGPT-for-FinTech,https://github.com/AI4Finance-Foundation/ChatGPT-for-FinTech,NEW,Textual,2024-12-28 17:28:06,14502.0,1994.0,32.0,2023-02-11 20:21:34,2024-12-26 03:22:33,AI4Finance-Foundation/FinGPT,active,,2023-03-31 02:01:33.842893\nfinsight,https://github.com/vishwasg217/finsight,NEW,Textual,2024-06-28 04:41:07,189.0,75.0,2.0,2023-09-06 13:01:39,2024-04-22 07:21:27,vishwasg217/finsight,active,,2023-11-17 01:45:55.776837\nfin-sight,https://github.com/vishwasg217/fin-sight,NEW,Textual,2024-12-12 10:40:42,203.0,76.0,2.0,2023-09-06 13:01:39,2024-04-22 07:21:27,vishwasg217/fin-sight,active,,2024-07-05 01:27:09.573958\nNLP Event,https://github.com/yuriak/DLQuant,Applying Deep Learning and NLP in Quantitative Trading.,Textual,2024-11-29 14:25:35,104.0,41.0,1.0,2018-07-02 23:50:52,2019-01-31 14:08:20,yuriak/DLQuant,inactive,,\nAccounting Anomalies,https://github.com/GitiHubi/deepAI/blob/master/GTC_2018_Lab-solutions.ipynb,Using deep-learning frameworks to identify accounting anomalies.,Textual,2024-12-16 08:45:37,203.0,84.0,2.0,2017-05-24 12:36:38,2019-08-07 21:47:08,GitiHubi/deepAI,inactive,,\nFinNLP-Progress,https://github.com/YangLinyi/FinNLP-Progress,NEW,Textual,2024-12-26 12:50:02,394.0,57.0,5.0,2020-05-21 09:59:56,2022-04-18 09:21:22,YangLinyi/FinNLP-Progress,inactive,,24:28.5\nBDCI2019-Negative_Finance_Info_Judge,https://github.com/A-Rain/BDCI2019-Negative_Finance_Info_Judge,NEW,Textual,2024-12-11 03:50:00,155.0,29.0,3.0,2019-12-27 03:49:31,2020-12-04 03:38:57,A-Rain/BDCI2019-Negative_Finance_Info_Judge,inactive,,24:28.5\nCornucopia-LLaMA-Fin-Chinese,https://github.com/jerry1993-tech/Cornucopia-LLaMA-Fin-Chinese,NEW,Textual,2024-12-26 07:28:18,601.0,63.0,1.0,2023-04-30 06:11:18,2023-06-30 07:52:13,jerry1993-tech/Cornucopia-LLaMA-Fin-Chinese,active,,2023-06-16 02:07:47.526052\nfinancial-news-dataset,https://github.com/philipperemy/financial-news-dataset,NEW,Textual,2024-12-15 10:16:56,232.0,95.0,1.0,2016-08-23 13:29:07,2023-03-09 06:53:26,philipperemy/financial-news-dataset,active,,24:28.5\nBuzzwords,https://github.com/swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-Funds,Return performance and mutual fund selection.,Textual,2024-04-28 02:21:23,4.0,7.0,1.0,2018-02-04 21:51:16,2018-02-04 21:57:09,swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-Funds,inactive,,\nawesome-financial-nlp,https://github.com/icoxfog417/awesome-financial-nlp,NEW,Textual,2024-12-19 06:44:35,406.0,63.0,2.0,2019-10-03 03:53:20,2020-02-01 08:28:16,icoxfog417/awesome-financial-nlp,inactive,,24:28.5\nFinancial Statement Sentiment,https://github.com/MAydogdu/TextualAnalysis,Extracting sentiment from financial statements using neural networks.,Textual,2024-10-14 08:01:59,19.0,14.0,1.0,2018-06-04 20:54:14,2018-06-04 20:56:02,MAydogdu/TextualAnalysis,inactive,,\nExtensive NLP,https://github.com/TiesdeKok/Python_NLP_Tutorial/blob/master/NLP_Notebook.ipynb,Comprehensive NLP techniques for accounting research.,Textual,2024-12-19 07:13:58,122.0,66.0,1.0,2017-10-25 07:10:26,2020-06-05 03:28:46,TiesdeKok/Python_NLP_Tutorial,inactive,,\nEarning call transcripts,https://github.com/lin882/WebAnalyticsProject,Correlation between mutual fund investment decision and earning call transcripts.,Textual,2024-04-28 02:21:04,10.0,6.0,1.0,2017-12-30 08:56:03,2018-01-11 02:11:11,lin882/WebAnalyticsProject,inactive,,\nFund classification,https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb,Fund classification using text mining and NLP.,Textual,2024-08-07 13:13:57,11.0,7.0,1.0,2018-04-16 22:18:55,2018-06-07 22:01:32,frechfrechfrech/Mutual-Fund-Market-Clusters,inactive,,\nFinancial Sentiment Analysis,https://github.com/EricHe98/Financial-Statements-Text-Analysis,\"Sentiment, distance and proportion analysis for trading signals.\",Textual,2024-11-11 03:40:17,98.0,39.0,1.0,2017-06-23 00:05:49,2023-05-08 00:58:50,EricHe98/Financial-Statements-Text-Analysis,active,,\nNLP,https://github.com/toamitesh/NLPinFinance,This project assembles a lot of NLP operations needed for finance domain.,Textual,,,,,,,toamitesh/NLPinFinance,,,\nStock_Support_Resistance_ML,https://github.com/judopro/Stock_Support_Resistance_ML,NEW,Unsupervised,2024-11-09 03:05:50,102.0,34.0,1.0,2019-12-22 20:25:48,2021-05-02 04:25:21,judopro/Stock_Support_Resistance_ML,inactive,,2021-05-07 01:53:28.160570\nPairs Trading,https://github.com/marketneutral/pairs-trading-with-ML/blob/master/Pairs%2BTrading%2Bwith%2BMachine%2BLearning.ipynb,Finding pairs with cluster analysis.,Unsupervised,2024-12-05 17:35:03,206.0,73.0,0.0,2017-09-05 19:19:19,2017-09-27 20:42:14,marketneutral/pairs-trading-with-ML,inactive,,\npairs_trading_unsupervised_learning,https://github.com/adamd1985/pairs_trading_unsupervised_learning,NEW,Unsupervised,2024-11-15 19:10:59,11.0,3.0,1.0,2024-02-16 09:13:06,2024-03-07 09:35:51,adamd1985/pairs_trading_unsupervised_learning,active,,2024-10-18 01:27:59.728905\nVRA Stock Embedding,https://github.com/ml-hongkong/stock2vec,Variational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history.,Unsupervised,2024-04-28 02:19:37,38.0,13.0,1.0,2017-06-21 04:47:14,2017-06-21 04:51:13,ml-hongkong/stock2vec,inactive,,\nCredit-Card-Fraud-Detection,https://github.com/sharmaroshan/Credit-Card-Fraud-Detection,NEW,Unsupervised,2024-10-29 22:57:04,17.0,9.0,1.0,2019-03-31 05:33:17,2019-03-31 05:38:43,sharmaroshan/Credit-Card-Fraud-Detection,inactive,,24:29.9\nIndustry Clustering,https://github.com/SeanMcOwen/FinanceAndPython.com-ClusteringIndustries,Clustering of industries.,Unsupervised,2024-04-28 02:19:14,14.0,12.0,1.0,2017-07-21 02:12:51,2017-07-23 02:53:37,FinanceAndPython/FinanceAndPython.com-ClusteringIndustries,inactive,,\nLearning-Technical-Trading,https://github.com/NJ-Murphy/Learning-Technical-Trading,NEW,Unsupervised,2024-09-05 04:11:35,10.0,4.0,1.0,2019-03-25 11:47:49,2020-04-08 12:39:53,NJ-Murphy/Learning-Technical-Trading,inactive,,2024-09-06 01:27:38.222627\nhmm_market_behavior,https://github.com/lamres/hmm_market_behavior,NEW,Unsupervised,2024-12-06 02:24:53,40.0,28.0,1.0,2019-09-08 17:37:39,2020-05-10 14:36:03,lamres/hmm_market_behavior,inactive,,24:29.9\nPCA Pairs Trading,https://github.com/joelQF/quant-finance/tree/master/Artificial_IntelIigence_for_Trading,\"PCA, Factor Returns, and trading strategies.\",Unsupervised,,,,,,,joelQF/quant-finance,,,\nall-classification-templetes-for-ML,https://github.com/sayantann11/all-classification-templetes-for-ML,NEW,Unsupervised,2024-12-25 16:21:47,215.0,47.0,1.0,2020-05-05 10:28:52,2024-05-15 11:46:23,sayantann11/all-classification-templetes-for-ML,active,,24:29.9\nAnomalyDetectionOnRisk,https://github.com/SimonWesterlindVPD/AnomalyDetectionOnRisk,NEW,Unsupervised,2024-05-06 17:41:16,21.0,11.0,1.0,2018-05-31 15:53:02,2018-05-31 16:18:28,SimonWesterlindVPD/AnomalyDetectionOnRisk,inactive,,24:29.9\nEigen-Portfolio,https://github.com/Gustrigos/Eigen-Portfolio,NEW,Unsupervised,2024-12-10 13:14:47,69.0,20.0,1.0,2018-09-05 05:29:18,2020-04-09 21:40:04,Gustrigos/Eigen-Portfolio,inactive,,24:29.9\nFund Clusters,https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb,Data exploration of fund clusters.,Unsupervised,2024-08-07 13:13:57,11.0,7.0,1.0,2018-04-16 22:18:55,2018-06-07 22:01:32,frechfrechfrech/Mutual-Fund-Market-Clusters,inactive,,\nIndustry Clustering,https://github.com/SeanMcOwen/FinanceAndPython.com-ClusteringIndustries,Project to cluster industries according to financial attributes.,Unsupervised,2024-04-28 02:19:14,14.0,12.0,1.0,2017-07-21 02:12:51,2017-07-23 02:53:37,FinanceAndPython/FinanceAndPython.com-ClusteringIndustries,inactive,,\ntableQA-Chinese,https://github.com/svjack/tableQA-Chinese,NEW,Unsupervised,2024-07-23 06:51:12,12.0,1.0,1.0,2021-03-16 14:54:53,2023-04-20 06:20:56,svjack/tableQA-Chinese,active,,2023-08-04 01:54:52.497056\nMachine_Learning_Support_Resistance,https://github.com/Coelodonta/Machine_Learning_Support_Resistance,NEW,Unsupervised,2024-12-27 14:00:47,10.0,2.0,1.0,2021-06-29 23:00:19,2021-06-29 23:39:14,Coelodonta/Machine_Learning_Support_Resistance,inactive,,2025-01-03 01:27:50.511717\n" }, { "path": "requirements.txt", "content": "pandas==1.2.1\nPyGithub==1.54.1\ntabulate==0.8.9" }, { "path": "wiki_gen.py", "content": "from conf import PROJECT_ROOT_DIR\nimport os\nimport pandas as pd\nimport numpy as np\nimport re\n\nfrom git_status import get_repo_list\n\n\ndef get_wiki_status_color(input_text):\n if input_text is None or input_text == 'inactive':\n result_text = \":heavy_multiplication_x:\"\n else:\n result_text = \":heavy_check_mark:\"\n return '{}'.format(result_text)\n\n\ndef get_wiki_rating(input_rating):\n result_text = ''\n if input_rating is not None and not np.isnan(input_rating):\n rating = int(input_rating)\n result_text = ':star:x{}'.format(rating)\n return '{}'.format(result_text)\n\n\ndef generate_wiki_per_category(output_path, update_readme: bool = True):\n \"\"\"\n\n :param update_readme:\n :param output_path:\n \"\"\"\n repo_df = get_repo_list()\n for category in repo_df['category'].unique():\n category_df = repo_df[repo_df['category'] == category].copy()\n url_md_list = []\n for idx, irow in category_df[['name', 'url']].iterrows():\n url_md_list.append('[{}]({})'.format(irow['name'], irow['url']))\n\n formatted_df = pd.DataFrame({\n 'repo': url_md_list,\n 'comment': category_df['comment'].apply(lambda x: '{}'.format(x)),\n 'created_at': category_df['created_at'].apply(lambda x: '{}'.format(x)),\n 'last_commit': category_df['last_commit'].apply(lambda x: '{}'.format(x)),\n 'star_count': category_df['star_count'].apply(lambda x: '{}'.format(x)),\n 'repo_status': category_df['repo_status'],\n 'rating': category_df['rating']\n })\n # add color for the status\n formatted_df = formatted_df.sort_values(by=['rating', 'star_count'], ascending=False).reset_index(drop=True)\n formatted_df['repo_status'] = formatted_df['repo_status'].apply(lambda x: get_wiki_status_color(x))\n formatted_df['rating'] = formatted_df['rating'].apply(lambda x: get_wiki_rating(x))\n formatted_df.columns = ['{}'.format(x) for x in formatted_df.columns]\n\n clean_category_name = category.lower().replace(' ', '_')\n output_path_full = os.path.join(output_path, '{}.md'.format(clean_category_name))\n with open(output_path_full, 'w') as f:\n f.write(formatted_df.to_markdown(index=False))\n print('wiki generated in [{}]'.format(output_path_full))\n\n if update_readme:\n check_str = '[PLACEHOLDER_START:{}]'.format(clean_category_name)\n with open(os.path.join(PROJECT_ROOT_DIR, 'README.md')) as f:\n all_read_me = f.read()\n if check_str not in all_read_me:\n print(f'section {check_str} not found')\n continue\n\n # only display top 5, then expandable for extra 5\n with open(os.path.join(PROJECT_ROOT_DIR, 'README.md'), 'w') as f:\n\n table_str = formatted_df.iloc[:15].to_markdown(index=False)\n new_str = f\" \\n\"\n new_str += table_str\n new_str += f\"\"\n\n search_start = re.escape(''.format(clean_category_name))\n search_end = re.escape(''.format(clean_category_name))\n pattern_s = re.compile(r'{}.*?{}'.format(search_start, search_end), re.DOTALL)\n write_str = re.sub(pattern_s, new_str, all_read_me)\n f.write(write_str)\n\n\nif __name__ == '__main__':\n local_path = os.path.join(PROJECT_ROOT_DIR, 'generated_wiki')\n generate_wiki_per_category(local_path)\n" } ]