Repository: firmai/financial-machine-learning Branch: master Commit: a0fda6ac1f40 Files: 31 Total size: 951.0 KB Directory structure: gitextract_jumbvm5a/ ├── .github/ │ └── workflows/ │ ├── repo_search.yml │ ├── repo_status.yml │ └── wiki_gen.yml ├── .gitignore ├── README.md ├── conf.py ├── generated_wiki/ │ ├── __init__.py │ ├── alternative_finance.md │ ├── colleges_centers_and_departments.md │ ├── courses.md │ ├── data.md │ ├── data_processing_techniques_and_transformations.md │ ├── deep_learning_and_reinforcement_learning.md │ ├── derivatives_and_hedging.md │ ├── extended_research.md │ ├── factor_and_risk_analysis.md │ ├── fixed_income.md │ ├── other_models.md │ ├── personal_papers.md │ ├── portfolio_selection_and_optimisation.md │ ├── reinforcement_learning.md │ ├── textual.md │ └── unsupervised.md ├── git_search.py ├── git_status.py ├── git_util.py ├── raw_data/ │ ├── __init__.py │ ├── process.drawio │ └── url_list.csv ├── requirements.txt └── wiki_gen.py ================================================ FILE CONTENTS ================================================ ================================================ FILE: .github/workflows/repo_search.yml ================================================ name: Repo-Search on: schedule: - cron: '0 1 * * *' jobs: # Set the job key. The key is displayed as the job name update-repo-status: # Name the Job name: Update repo status for all saved repo # Set the type of machine to run on runs-on: ubuntu-latest steps: - name: Checkout code uses: actions/checkout@v2 with: fetch-depth: 0 - name: setup python uses: actions/setup-python@v2 with: python-version: 3.7 - name: Install dependencies run: | python -m pip install --upgrade pip if [ -f requirements.txt ]; then pip install -r requirements.txt; fi - name: execute py script # run the run.py to get the latest data run: | python git_search.py env: GIT_TOKEN: ${{ secrets.GIT_TOKEN }} - name: Commit & Push changes uses: actions-js/push@master with: github_token: ${{ secrets.GIT_TOKEN }} branch: 'master' ================================================ FILE: .github/workflows/repo_status.yml ================================================ name: Repo-Updater on: schedule: - cron: '0 0 * * 0' # weekly jobs: # Set the job key. The key is displayed as the job name update-repo-status: # Name the Job name: Update repo status for all saved repo # Set the type of machine to run on runs-on: ubuntu-latest steps: - name: Checkout code uses: actions/checkout@v2 with: fetch-depth: 0 - name: setup python uses: actions/setup-python@v2 with: python-version: 3.7 - name: Install dependencies run: | python -m pip install --upgrade pip if [ -f requirements.txt ]; then pip install -r requirements.txt; fi - name: execute py script # run the run.py to get the latest data run: | python git_status.py env: GIT_TOKEN: ${{ secrets.GIT_TOKEN }} - name: Commit & Push changes uses: actions-js/push@master with: github_token: ${{ secrets.GIT_TOKEN }} branch: 'master' ================================================ FILE: .github/workflows/wiki_gen.yml ================================================ name: Wiki-Generator # generate wiki page on every push on: push jobs: # Set the job key. The key is displayed as the job name update-repo-status: # Name the Job name: Update repo status for all saved repo # Set the type of machine to run on runs-on: ubuntu-latest steps: - name: Checkout code uses: actions/checkout@v2 with: fetch-depth: 0 - name: setup python uses: actions/setup-python@v2 with: python-version: 3.7 - name: Install dependencies run: | python -m pip install --upgrade pip if [ -f requirements.txt ]; then pip install -r requirements.txt; fi # - name: execute status update script # run the run.py to get the latest data # run: | # python git_search.py # env: # GIT_TOKEN: ${{ secrets.GIT_TOKEN }} - name: execute wiki generation script # run the wiki_gen run: | python wiki_gen.py - name: Upload Documentation to Wiki uses: SwiftDocOrg/github-wiki-publish-action@v1 with: path: "generated_wiki" env: GH_PERSONAL_ACCESS_TOKEN: ${{ secrets.GIT_TOKEN }} # - name: Check out master first # uses: actions/checkout@master # with: # persist-credentials: false # otherwise, the token used is the GITHUB_TOKEN, instead of your personal token # fetch-depth: 0 # otherwise, you will failed to push refs to dest repo - name: Commit & Push changes uses: actions-js/push@master with: github_token: ${{ secrets.GIT_TOKEN }} branch: 'master' ================================================ FILE: .gitignore ================================================ # Byte-compiled / optimized / DLL files __pycache__/ *.py[cod] *$py.class # C extensions *.so # Distribution / packaging .Python build/ develop-eggs/ dist/ downloads/ eggs/ .eggs/ lib/ lib64/ parts/ sdist/ var/ wheels/ pip-wheel-metadata/ share/python-wheels/ *.egg-info/ .installed.cfg *.egg MANIFEST # PyInstaller # Usually these files are written by a python script from a template # before PyInstaller builds the exe, so as to inject date/other infos into it. *.manifest *.spec # Installer logs pip-log.txt pip-delete-this-directory.txt # Unit test / coverage reports htmlcov/ .tox/ .nox/ .coverage .coverage.* .cache nosetests.xml coverage.xml *.cover *.py,cover .hypothesis/ .pytest_cache/ # Translations *.mo *.pot # Django stuff: *.log local_settings.py db.sqlite3 db.sqlite3-journal # Flask stuff: instance/ .webassets-cache # Scrapy stuff: .scrapy # Sphinx documentation docs/_build/ # PyBuilder target/ # Jupyter Notebook .ipynb_checkpoints # IPython profile_default/ ipython_config.py # pyenv .python-version # pipenv # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. # However, in case of collaboration, if having platform-specific dependencies or dependencies # having no cross-platform support, pipenv may install dependencies that don't work, or not # install all needed dependencies. #Pipfile.lock # PEP 582; used by e.g. github.com/David-OConnor/pyflow __pypackages__/ # Celery stuff celerybeat-schedule celerybeat.pid # SageMath parsed files *.sage.py # Environments .env .venv env/ venv/ ENV/ env.bak/ venv.bak/ # Spyder project settings .spyderproject .spyproject # Rope project settings .ropeproject # mkdocs documentation /site # mypy .mypy_cache/ .dmypy.json dmypy.json # Pyre type checker .pyre/ .idea/ .DS_Store .editorconfig ================================================ FILE: README.md ================================================ [![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) [![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) [![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) [![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) --- ## 🌟 We Are Growing! We'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. ![image](https://github.com/user-attachments/assets/da97663a-b63f-4286-94cc-fcd168905109) ### 🚀 About Sov.ai Sov.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. Our platform leverages diverse data sources and innovative algorithms to deliver actionable insights that drive smarter investment decisions. By 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. ### 🔍 Research and Project Opportunities We 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: - **Predictive Modeling with GitHub Logs:** Develop models to predict market trends and investment opportunities using GitHub activity and developer data. - **Satallite Data Analysis:** Explore non-traditional data sources such as social media sentiment, satellite imagery, or web traffic to enhance financial forecasting. - **Data Imputation Techniques:** Investigate new methods for handling missing or incomplete data to improve the robustness and accuracy of our models. Please 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. ### 🌐 Why Join Sov.ai? - **Innovative Environment:** Engage with the latest technologies and methodologies in machine learning and finance. - **Collaborative Team:** Work alongside a team of experts passionate about driving innovation in investment insights. - **Flexible Projects:** Tailor your research to align with your interests and expertise, with the freedom to explore new ideas. - **Experienced Researchers:** Experts previously from NYU, Columbia, Oxford-Man Institute, Alan Turing Institute, and Cambridge. - **Post Research:** Connect with alumni that has moved on to DRW, Citadel Securities, Virtu Financial, Akuna Capital, HRT. ### 🤝 How to Apply If 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. Join us in shaping the future of investment insights and making a meaningful impact in the world of finance! ## So what is [ML-Quant.com](https://ml-quant.com) then? It 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. ![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) # Financial Machine Learning and Data Science - All repos/links status including last commit date is updated daily - Only 15 Highest ranked repos/links for each section are displayed on main README.md and full list is available within the wiki page - Both Wikis/README.md is updated in realtime as soon as new information are pushed to the repo ___ # Trading ## Deep Learning & Reinforcement Learning ([Wiki](https://github.com/firmai/financial-machine-learning/wiki/deep_learning_and_reinforcement_learning)) | repo | comment | created_at | last_commit | star_count | repo_status | rating | |:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------| | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | ## Other Models ([Wiki](https://github.com/firmai/financial-machine-learning/wiki/other_models)) | repo | comment | created_at | last_commit | star_count | repo_status | rating | |:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------| | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | ## Data Processing Techniques and Transformations ([Wiki](https://github.com/firmai/financial-machine-learning/wiki/data_processing_techniques_and_transformations)) | repo | comment | created_at | last_commit | star_count | repo_status | rating | |:----------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------| | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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: | | | [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: | | | [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: | | # Portfolio Management ## Portfolio Selection and Optimisation ([Wiki](https://github.com/firmai/financial-machine-learning/wiki/portfolio_selection_and_optimisation)) | repo | comment | created_at | last_commit | star_count | repo_status | rating | |:--------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------| | [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: | | | [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: | | | [cvxportfolio](https://github.com/cvxgrp/cvxportfolio) | NEW | 2017-01-11 01:16:16 | 2024-09-27 14:09:43 | 968.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | ## Factor and Risk Analysis ([Wiki](https://github.com/firmai/financial-machine-learning/wiki/factor_and_risk_analysis)) | repo | comment | created_at | last_commit | star_count | repo_status | rating | |:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------| | [-1](https://github.com/Rastaman4e/-1) | NEW | nan | nan | nan | :heavy_check_mark: | | | [FEEDN](https://github.com/THEFEASTCOIN/FEEDN) | NEW | nan | nan | nan | :heavy_check_mark: | | | [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: | | | [SafetyAndTrade](https://github.com/vrdcas/SafetyAndTrade) | NEW | 2020-04-11 20:18:03 | 2020-04-12 17:00:36 | 9.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [whitepaper](https://github.com/peacockbsc/whitepaper) | NEW | 2021-07-31 23:39:41 | 2022-08-25 09:52:38 | 7.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [-L-](https://github.com/jettbrains/-L-) | NEW | 2019-10-28 21:50:26 | 2019-10-28 21:51:19 | 67.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | # Techniques ## Unsupervised ([Wiki](https://github.com/firmai/financial-machine-learning/wiki/unsupervised)) | repo | comment | created_at | last_commit | star_count | repo_status | rating | |:-------------------------------------------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------| | [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: | | | [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: | | | [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: | | | [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: | | | [AnomalyDetectionOnRisk](https://github.com/SimonWesterlindVPD/AnomalyDetectionOnRisk) | NEW | 2018-05-31 15:53:02 | 2018-05-31 16:18:28 | 21.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | ## Textual ([Wiki](https://github.com/firmai/financial-machine-learning/wiki/textual)) | repo | comment | created_at | last_commit | star_count | repo_status | rating | |:--------------------------------------------------------------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------| | [NLP](https://github.com/toamitesh/NLPinFinance) | This project assembles a lot of NLP operations needed for finance domain. | nan | nan | nan | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [FinBERT](https://github.com/psnonis/FinBERT) | NEW | 2019-07-09 16:34:27 | 2020-05-19 02:02:20 | 197.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [finsight](https://github.com/vishwasg217/finsight) | NEW | 2023-09-06 13:01:39 | 2024-04-22 07:21:27 | 189.0 | :heavy_check_mark: | | | [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: | | | [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: | | # Other Assets ## Derivatives and Hedging ([Wiki](https://github.com/firmai/financial-machine-learning/wiki/derivatives_and_hedging)) | repo | comment | created_at | last_commit | star_count | repo_status | rating | |:-----------------------------------------------------------------------------------------------------------------------------------------|:--------------------------------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------| | [Options](https://github.com/PHBS/2018.M1.ASP/tree/master/py) | Black Scholes and Copula. | nan | nan | nan | :heavy_check_mark: | | | [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: | | | [optopsy](https://github.com/michaelchu/optopsy) | NEW | 2017-09-17 01:49:54 | 2024-07-06 19:33:10 | 978.0 | :heavy_check_mark: | | | [akshare](https://github.com/jindaxiang/akshare) | NEW | 2019-10-01 07:34:12 | 2024-09-28 06:49:57 | 9042.0 | :heavy_check_mark: | | | [AlgorithmicTrading](https://github.com/JerBouma/AlgorithmicTrading) | NEW | 2019-03-14 09:33:37 | 2023-08-13 07:15:09 | 878.0 | :heavy_check_mark: | | | [lumibot](https://github.com/Lumiwealth/lumibot) | NEW | 2020-09-10 10:00:16 | 2024-09-27 04:30:14 | 877.0 | :heavy_check_mark: | | | [Strata](https://github.com/OpenGamma/Strata) | NEW | 2014-06-16 11:45:55 | 2024-08-28 16:12:28 | 842.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [StockSharp](https://github.com/StockSharp/StockSharp) | NEW | 2014-12-08 07:53:44 | 2024-09-23 21:13:42 | 7097.0 | :heavy_check_mark: | | | [optlib](https://github.com/dbrojas/optlib) | NEW | 2020-08-17 00:30:14 | 2022-11-18 19:12:54 | 644.0 | :heavy_check_mark: | | | [algotrader](https://github.com/torreyleonard/algotrader) | NEW | 2018-04-10 02:31:26 | 2020-08-27 08:16:44 | 635.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | ## Fixed Income ([Wiki](https://github.com/firmai/financial-machine-learning/wiki/fixed_income)) | repo | comment | created_at | last_commit | star_count | repo_status | rating | |:-----------------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------| | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [woe](https://github.com/boredbird/woe) | NEW | 2017-09-11 07:15:04 | 2018-03-01 10:45:40 | 256.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [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: | | | [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: | | | [pyratings](https://github.com/hsbc/pyratings) | NEW | 2022-03-24 14:51:59 | 2024-06-18 07:03:07 | 19.0 | :heavy_check_mark: | | ## Alternative Finance ([Wiki](https://github.com/firmai/financial-machine-learning/wiki/alternative_finance)) | repo | comment | created_at | last_commit | star_count | repo_status | rating | |:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------| | [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: | | | [EDMarketConnector](https://github.com/EDCD/EDMarketConnector) | NEW | 2015-06-02 19:17:34 | 2024-09-24 23:28:42 | 988.0 | :heavy_check_mark: | | | [yahoofinancials](https://github.com/JECSand/yahoofinancials) | NEW | 2017-10-22 03:10:57 | 2023-12-17 07:54:07 | 910.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [botupdate](https://github.com/botupdate/botupdate) | NEW | 2019-07-01 20:22:44 | 2020-10-29 02:31:17 | 582.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [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: | | | [HomeHarvest](https://github.com/ZacharyHampton/HomeHarvest) | NEW | 2023-09-15 19:29:01 | 2024-09-06 22:49:07 | 314.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | # Extended Research ([Wiki](https://github.com/firmai/financial-machine-learning/wiki/extended_research)) | repo | comment | created_at | last_commit | star_count | repo_status | rating | |:-------------------------------------------------------------------------------------------------------|:--------------------------------------------------------------------------------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------| | [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: | | | [Commodity](https://github.com/felipessalvatore/fin2vec/blob/master/src/Commodity2BR.ipynb) | Commodity influence over Brazilian stocks. | nan | nan | nan | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [PythonMatchingEngine](https://github.com/Surbeivol/PythonMatchingEngine) | NEW | 2019-05-16 12:06:21 | 2021-12-30 10:17:35 | 95.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | # Courses ([Wiki](https://github.com/firmai/financial-machine-learning/wiki/courses)) | repo | comment | created_at | last_commit | star_count | repo_status | rating | |:----------------------------------------------------------------------------------------------------------------------|:----------------------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------| | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [ciml](https://github.com/hal3/ciml) | NEW | 2015-08-12 19:26:00 | 2017-01-20 16:24:19 | 888.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [Octave](https://github.com/schneems/Octave) | NEW | 2011-10-24 23:50:52 | 2016-07-08 20:45:40 | 824.0 | :heavy_multiplication_x: | | | [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: | | | [DAT4](https://github.com/justmarkham/DAT4) | NEW | 2014-12-10 19:38:29 | 2021-02-15 23:26:27 | 794.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [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: | | | [DataScienceSpCourseNotes](https://github.com/sux13/DataScienceSpCourseNotes) | NEW | 2015-03-09 00:51:32 | 2016-02-16 06:12:54 | 764.0 | :heavy_multiplication_x: | | # Data ([Wiki](https://github.com/firmai/financial-machine-learning/wiki/data)) | repo | comment | created_at | last_commit | star_count | repo_status | rating | |:---------------------------------------------------------------------------------------------------|:---------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------| | [Tools-termux](https://github.com/Taoviqinvicible/Tools-termux) | NEW | nan | nan | nan | :heavy_check_mark: | | | [Rating Industries](http://www.ratingshistory.info/) | nan | nan | nan | nan | :heavy_check_mark: | | | [http://finance.yahoo.com/](http://finance.yahoo.com/) | nan | nan | nan | nan | :heavy_check_mark: | | | [https://fred.stlouisfed.org/](https://fred.stlouisfed.org/) | nan | nan | nan | nan | :heavy_check_mark: | | | [https://stooq.com](https://stooq.com) | nan | nan | nan | nan | :heavy_check_mark: | | | [Capital Markets Data](https://www.capitalmarketsdata.com/) | nan | nan | nan | nan | :heavy_check_mark: | | | [Financial Corporate](http://raw.rutgers.edu/Corporate%20Financial%20Data.html) | nan | nan | nan | nan | :heavy_check_mark: | | | [IRS](http://social-metrics.org/sox/) | nan | nan | nan | nan | :heavy_check_mark: | | | [Non-financial Corporate](http://raw.rutgers.edu/Non-Financial%20Corporate%20Data.html) | nan | nan | nan | nan | :heavy_check_mark: | | | [redesigned-pancake](https://github.com/Sfedfcv/redesigned-pancake) | NEW | nan | nan | nan | :heavy_check_mark: | | | [PyPOTS](https://github.com/WenjieDu/PyPOTS) | NEW | 2022-03-29 14:22:47 | 2024-09-26 17:17:28 | 997.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [Deedle](https://github.com/fslaborg/Deedle) | NEW | 2013-09-17 18:53:34 | 2023-01-17 21:18:55 | 937.0 | :heavy_check_mark: | | | [BitcoinExchangeFH](https://github.com/BitcoinExchangeFH/BitcoinExchangeFH) | NEW | 2016-10-24 13:30:31 | 2022-12-28 17:07:41 | 936.0 | :heavy_check_mark: | | # Colleges, Centers and Departments ([Wiki](https://github.com/firmai/financial-machine-learning/wiki/colleges_centers_and_departments)) | repo | comment | created_at | last_commit | star_count | repo_status | rating | |:-----------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------|:------------------------|:-------------------------|:------------------------|:------------------------------|:--------------------| | [NYU FRE](https://engineering.nyu.edu/academics/departments/finance-and-risk-engineering) | Finance and Risk Engineering (NYU Tandon) | nan | nan | nan | :heavy_check_mark: | | | [Oxford Man](https://www.oxford-man.ox.ac.uk/) | Oxford-Man Institute of Quantitative Finance | nan | nan | nan | :heavy_check_mark: | | | [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: | | | [Cornell University](https://www.cornell.edu/) | nan | nan | nan | nan | :heavy_check_mark: | | | [NYU Courant](https://cims.nyu.edu/) | Courant Institute of Mathematical Sciences, New York University | nan | nan | nan | :heavy_check_mark: | | | [Stanford Advanced Financial Technologies](https://fintech.stanford.edu/) | Stanford Advanced Financial Technologies Laboratory | nan | nan | nan | :heavy_check_mark: | | ================================================ FILE: conf.py ================================================ import os PROJECT_ROOT_DIR = os.path.dirname(os.path.abspath(__file__)) ================================================ FILE: generated_wiki/__init__.py ================================================ ================================================ FILE: generated_wiki/alternative_finance.md ================================================ | repo | comment | created_at | last_commit | star_count | repo_status | rating | |:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------| | [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: | | | [EDMarketConnector](https://github.com/EDCD/EDMarketConnector) | NEW | 2015-06-02 19:17:34 | 2024-09-24 23:28:42 | 988.0 | :heavy_check_mark: | | | [yahoofinancials](https://github.com/JECSand/yahoofinancials) | NEW | 2017-10-22 03:10:57 | 2023-12-17 07:54:07 | 910.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [botupdate](https://github.com/botupdate/botupdate) | NEW | 2019-07-01 20:22:44 | 2020-10-29 02:31:17 | 582.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [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: | | | [HomeHarvest](https://github.com/ZacharyHampton/HomeHarvest) | NEW | 2023-09-15 19:29:01 | 2024-09-06 22:49:07 | 314.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [notebooks](https://github.com/tradingeconomics/notebooks) | NEW | 2020-11-13 13:39:37 | 2023-07-20 12:27:16 | 104.0 | :heavy_check_mark: | | ================================================ FILE: generated_wiki/colleges_centers_and_departments.md ================================================ | repo | comment | created_at | last_commit | star_count | repo_status | rating | |:-----------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------|:------------------------|:-------------------------|:------------------------|:------------------------------|:--------------------| | [NYU FRE](https://engineering.nyu.edu/academics/departments/finance-and-risk-engineering) | Finance and Risk Engineering (NYU Tandon) | nan | nan | nan | :heavy_check_mark: | | | [Oxford Man](https://www.oxford-man.ox.ac.uk/) | Oxford-Man Institute of Quantitative Finance | nan | nan | nan | :heavy_check_mark: | | | [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: | | | [Cornell University](https://www.cornell.edu/) | nan | nan | nan | nan | :heavy_check_mark: | | | [NYU Courant](https://cims.nyu.edu/) | Courant Institute of Mathematical Sciences, New York University | nan | nan | nan | :heavy_check_mark: | | | [Stanford Advanced Financial Technologies](https://fintech.stanford.edu/) | Stanford Advanced Financial Technologies Laboratory | nan | nan | nan | :heavy_check_mark: | | ================================================ FILE: generated_wiki/courses.md ================================================ | repo | comment | created_at | last_commit | star_count | repo_status | rating | |:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------| | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [ciml](https://github.com/hal3/ciml) | NEW | 2015-08-12 19:26:00 | 2017-01-20 16:24:19 | 888.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [Octave](https://github.com/schneems/Octave) | NEW | 2011-10-24 23:50:52 | 2016-07-08 20:45:40 | 824.0 | :heavy_multiplication_x: | | | [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: | | | [DAT4](https://github.com/justmarkham/DAT4) | NEW | 2014-12-10 19:38:29 | 2021-02-15 23:26:27 | 794.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [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: | | | [DataScienceSpCourseNotes](https://github.com/sux13/DataScienceSpCourseNotes) | NEW | 2015-03-09 00:51:32 | 2016-02-16 06:12:54 | 764.0 | :heavy_multiplication_x: | | | [DataScienceCourse](https://github.com/briandalessandro/DataScienceCourse) | NEW | 2014-10-01 08:45:51 | 2020-12-20 13:03:56 | 751.0 | :heavy_multiplication_x: | | | [causalML](https://github.com/altdeep/causalML) | NEW | 2018-12-17 05:22:47 | 2024-07-28 18:22:15 | 726.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [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: | | | [DAT3](https://github.com/justmarkham/DAT3) | NEW | 2014-09-18 20:30:19 | 2020-05-19 09:21:02 | 659.0 | :heavy_multiplication_x: | | | [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: | | | [DP100](https://github.com/MicrosoftLearning/DP100) | NEW | 2020-01-06 20:38:41 | 2020-12-30 17:22:42 | 635.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [GML2023](https://github.com/xbresson/GML2023) | NEW | 2024-02-12 01:05:08 | 2024-08-27 06:06:36 | 572.0 | :heavy_check_mark: | | | [mlcourse](https://github.com/davidrosenberg/mlcourse) | NEW | 2015-10-11 22:18:25 | 2023-11-02 21:29:07 | 567.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [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: | | | [geospatialdatascience](https://github.com/mszell/geospatialdatascience) | NEW | 2022-05-14 12:59:52 | 2022-11-02 08:27:01 | 515.0 | :heavy_check_mark: | | | [DataScience](https://github.com/JuliaAcademy/DataScience) | NEW | 2020-05-21 01:26:52 | 2022-10-01 13:34:26 | 490.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [courses](https://github.com/DataScienceSpecialization/courses) | NEW | 2014-01-21 10:22:57 | 2016-03-16 12:13:44 | 4050.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [AdvancedML](https://github.com/sjhwang82/AdvancedML) | NEW | 2019-02-22 09:15:04 | 2022-11-25 10:53:47 | 366.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [msds621](https://github.com/parrt/msds621) | NEW | 2019-07-01 18:21:25 | 2021-12-07 19:51:49 | 348.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [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: | | | [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: | | | [datacamp](https://github.com/ozlerhakan/datacamp) | NEW | 2018-07-20 09:19:43 | 2024-04-21 08:17:00 | 322.0 | :heavy_check_mark: | | | [2014](https://github.com/cs109/2014) | NEW | 2014-07-21 22:46:20 | 2014-12-17 14:37:02 | 318.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [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: | | | [PyMLSlides](https://github.com/dmitriydligach/PyMLSlides) | NEW | 2017-06-05 13:59:15 | 2021-10-07 17:34:18 | 303.0 | :heavy_multiplication_x: | | | [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: | | | [matrixcalc](https://github.com/mitmath/matrixcalc) | NEW | 2022-01-04 15:39:28 | 2024-02-09 17:17:51 | 297.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [MachineLearningWithPython](https://github.com/JerryKurata/MachineLearningWithPython) | NEW | 2016-04-24 21:20:10 | 2023-01-27 01:12:06 | 259.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [TeachingDataScience](https://github.com/yogeshhk/TeachingDataScience) | NEW | 2019-04-13 23:43:45 | 2024-09-28 02:39:36 | 255.0 | :heavy_check_mark: | | | [PythonDataScienceFullThrottle](https://github.com/pdeitel/PythonDataScienceFullThrottle) | NEW | 2019-07-18 15:53:01 | 2024-08-13 13:38:57 | 253.0 | :heavy_check_mark: | | | [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: | | | [365datascience](https://github.com/UsmanNiazi/365datascience) | NEW | 2020-04-12 12:01:18 | 2020-11-01 07:39:21 | 241.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [Intro](https://github.com/rstudio/Intro) | NEW | 2014-11-11 20:45:33 | 2014-11-12 13:42:32 | 235.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [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: | | | [DAT7](https://github.com/justmarkham/DAT7) | NEW | 2015-05-16 02:29:54 | 2016-03-18 16:20:30 | 231.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [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: | | | [AmazonSageMakerCourse](https://github.com/ChandraLingam/AmazonSageMakerCourse) | NEW | 2019-04-02 16:31:20 | 2024-05-30 04:54:39 | 225.0 | :heavy_check_mark: | | | [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: | | | [datasciencecoursera](https://github.com/mGalarnyk/datasciencecoursera) | NEW | 2016-12-27 03:59:24 | 2021-02-19 04:16:58 | 2225.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [MonteCarloMethodsInFinance](https://github.com/olafSmits/MonteCarloMethodsInFinance) | NEW | 2014-01-21 14:38:39 | 2014-04-21 19:43:21 | 210.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [CourseraML](https://github.com/kaleko/CourseraML) | NEW | 2015-12-08 00:03:22 | 2018-10-30 23:49:56 | 2017.0 | :heavy_multiplication_x: | | | [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: | | | [MLND](https://github.com/mtyylx/MLND) | NEW | 2017-05-07 15:05:10 | 2018-04-01 15:58:24 | 200.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [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: | | | [DAT8](https://github.com/justmarkham/DAT8) | NEW | 2015-08-07 03:35:51 | 2016-04-18 18:34:09 | 1606.0 | :heavy_multiplication_x: | | | [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: | | | [PythonNumericalDemos](https://github.com/GeostatsGuy/PythonNumericalDemos) | NEW | 2017-10-13 15:44:06 | 2024-09-10 22:02:32 | 1397.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [ppd599](https://github.com/gboeing/ppd599) | NEW | 2015-09-01 19:59:59 | 2024-04-28 19:25:58 | 1265.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [DataCamp](https://github.com/wblakecannon/DataCamp) | NEW | 2017-09-18 20:51:08 | 2020-10-01 20:13:05 | 1167.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | ================================================ FILE: generated_wiki/data.md ================================================ | repo | comment | created_at | last_commit | star_count | repo_status | rating | |:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------| | [Tools-termux](https://github.com/Taoviqinvicible/Tools-termux) | NEW | nan | nan | nan | :heavy_check_mark: | | | [Rating Industries](http://www.ratingshistory.info/) | nan | nan | nan | nan | :heavy_check_mark: | | | [http://finance.yahoo.com/](http://finance.yahoo.com/) | nan | nan | nan | nan | :heavy_check_mark: | | | [https://fred.stlouisfed.org/](https://fred.stlouisfed.org/) | nan | nan | nan | nan | :heavy_check_mark: | | | [https://stooq.com](https://stooq.com) | nan | nan | nan | nan | :heavy_check_mark: | | | [Capital Markets Data](https://www.capitalmarketsdata.com/) | nan | nan | nan | nan | :heavy_check_mark: | | | [Financial Corporate](http://raw.rutgers.edu/Corporate%20Financial%20Data.html) | nan | nan | nan | nan | :heavy_check_mark: | | | [IRS](http://social-metrics.org/sox/) | nan | nan | nan | nan | :heavy_check_mark: | | | [Non-financial Corporate](http://raw.rutgers.edu/Non-Financial%20Corporate%20Data.html) | nan | nan | nan | nan | :heavy_check_mark: | | | [redesigned-pancake](https://github.com/Sfedfcv/redesigned-pancake) | NEW | nan | nan | nan | :heavy_check_mark: | | | [PyPOTS](https://github.com/WenjieDu/PyPOTS) | NEW | 2022-03-29 14:22:47 | 2024-09-26 17:17:28 | 997.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [Deedle](https://github.com/fslaborg/Deedle) | NEW | 2013-09-17 18:53:34 | 2023-01-17 21:18:55 | 937.0 | :heavy_check_mark: | | | [BitcoinExchangeFH](https://github.com/BitcoinExchangeFH/BitcoinExchangeFH) | NEW | 2016-10-24 13:30:31 | 2022-12-28 17:07:41 | 936.0 | :heavy_check_mark: | | | [fredapi](https://github.com/mortada/fredapi) | NEW | 2014-08-22 01:43:29 | 2024-05-05 11:39:39 | 909.0 | :heavy_check_mark: | | | [jqdatasdk](https://github.com/JoinQuant/jqdatasdk) | NEW | 2017-11-29 08:39:45 | 2024-08-09 10:25:12 | 905.0 | :heavy_check_mark: | | | [adata](https://github.com/1nchaos/adata) | NEW | 2023-05-23 05:13:52 | 2024-09-06 16:42:53 | 900.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [autogluon](https://github.com/awslabs/autogluon) | NEW | 2019-07-29 18:51:24 | 2024-09-28 00:14:56 | 7738.0 | :heavy_check_mark: | | | [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: | | | [luminaire](https://github.com/zillow/luminaire) | NEW | 2020-07-08 19:22:50 | 2024-01-31 19:05:51 | 762.0 | :heavy_check_mark: | | | [azuredatastudio](https://github.com/microsoft/azuredatastudio) | NEW | 2017-11-02 01:00:13 | 2024-09-28 17:05:47 | 7552.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [vpselector](https://github.com/manumerous/vpselector) | NEW | 2021-04-26 14:47:22 | 2023-09-20 18:31:32 | 74.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [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: | | | [kcov](https://github.com/SimonKagstrom/kcov) | NEW | 2010-08-23 12:03:31 | 2024-09-24 03:58:24 | 714.0 | :heavy_check_mark: | | | [risingwave](https://github.com/risingwavelabs/risingwave) | NEW | 2022-01-28 12:58:03 | 2024-09-28 06:48:53 | 6847.0 | :heavy_check_mark: | | | [temporian](https://github.com/google/temporian) | NEW | 2023-01-17 18:00:40 | 2024-07-25 07:55:32 | 666.0 | :heavy_check_mark: | | | [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: | | | [WeDataSphere](https://github.com/WeBankFinTech/WeDataSphere) | NEW | 2019-07-23 06:31:54 | 2024-03-14 02:39:21 | 655.0 | :heavy_check_mark: | | | [RGAN](https://github.com/ratschlab/RGAN) | NEW | 2017-06-08 11:26:13 | 2018-02-09 18:09:22 | 640.0 | :heavy_multiplication_x: | | | [Stocksera](https://github.com/guanquann/Stocksera) | NEW | 2021-05-18 07:34:00 | 2024-08-19 03:40:09 | 638.0 | :heavy_check_mark: | | | [PrivateBin](https://github.com/PrivateBin/PrivateBin) | NEW | 2016-07-09 07:03:25 | 2024-09-10 03:31:05 | 6361.0 | :heavy_check_mark: | | | [tradekit](https://github.com/hackingthemarkets/tradekit) | NEW | 2020-12-25 21:54:13 | 2021-03-07 03:09:10 | 636.0 | :heavy_multiplication_x: | | | [blueflood](https://github.com/rackerlabs/blueflood) | NEW | 2013-05-15 14:50:39 | 2022-09-23 15:49:43 | 597.0 | :heavy_multiplication_x: | | | [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: | | | [pystore](https://github.com/ranaroussi/pystore) | NEW | 2018-05-26 20:38:44 | 2024-07-10 10:11:01 | 558.0 | :heavy_check_mark: | | | [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: | | | [cryptoCMD](https://github.com/guptarohit/cryptoCMD) | NEW | 2018-01-27 22:32:48 | 2024-04-15 23:38:08 | 545.0 | :heavy_check_mark: | | | [RZDataBinding](https://github.com/Rightpoint/RZDataBinding) | NEW | 2014-09-19 15:15:16 | 2018-10-04 22:34:22 | 543.0 | :heavy_multiplication_x: | | | [kerf1](https://github.com/kevinlawler/kerf1) | NEW | 2015-04-08 12:40:49 | 2024-09-03 23:20:03 | 539.0 | :heavy_check_mark: | | | [courtlistener](https://github.com/freelawproject/courtlistener) | NEW | 2014-07-25 13:22:00 | 2024-09-27 23:48:58 | 535.0 | :heavy_check_mark: | | | [Curve](https://github.com/baidu/Curve) | NEW | 2017-10-23 04:07:19 | 2020-12-24 08:19:37 | 530.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [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: | | | [PIXIU](https://github.com/chancefocus/PIXIU) | NEW | 2023-06-02 02:59:15 | 2024-08-25 10:39:17 | 514.0 | :heavy_check_mark: | | | [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: | | | [lepto](https://github.com/dimitrinicolas/lepto) | NEW | 2018-06-01 22:15:10 | 2018-08-21 16:00:59 | 497.0 | :heavy_multiplication_x: | | | [Kats](https://github.com/facebookresearch/Kats) | NEW | 2021-02-25 21:51:06 | 2024-09-03 18:40:22 | 4896.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [trendet](https://github.com/alvarobartt/trendet) | NEW | 2019-08-09 17:40:41 | 2020-06-28 17:25:32 | 456.0 | :heavy_multiplication_x: | | | [FinancialDatasets](https://github.com/smoothnlp/FinancialDatasets) | NEW | 2019-05-27 08:53:57 | 2019-09-03 08:46:57 | 453.0 | :heavy_multiplication_x: | | | [nyctaxi](https://github.com/chriswhong/nyctaxi) | NEW | 2014-06-29 18:46:08 | 2017-08-11 22:00:46 | 453.0 | :heavy_multiplication_x: | | | [crypto](https://github.com/spatie/crypto) | NEW | 2020-11-06 14:46:03 | 2024-07-08 05:24:47 | 451.0 | :heavy_check_mark: | | | [SwiftDataTables](https://github.com/pavankataria/SwiftDataTables) | NEW | 2017-03-09 12:13:55 | 2022-02-20 20:00:32 | 448.0 | :heavy_multiplication_x: | | | [edgartools](https://github.com/dgunning/edgartools) | NEW | 2022-12-24 17:07:26 | 2024-09-22 10:52:23 | 435.0 | :heavy_check_mark: | | | [Spreads](https://github.com/Spreads/Spreads) | NEW | 2015-12-20 20:10:03 | 2023-04-16 20:23:15 | 426.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [finagg](https://github.com/theOGognf/finagg) | NEW | 2022-09-25 15:11:34 | 2024-08-11 00:17:35 | 422.0 | :heavy_check_mark: | | | [ultrafinance](https://github.com/panpanpandas/ultrafinance) | NEW | 2014-10-20 04:21:07 | 2014-10-20 04:31:29 | 421.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [Superalgos](https://github.com/Superalgos/Superalgos) | NEW | 2019-08-12 17:34:43 | 2024-01-31 18:29:38 | 4133.0 | :heavy_check_mark: | | | [resnet1d](https://github.com/hsd1503/resnet1d) | NEW | 2019-10-27 01:15:48 | 2022-02-07 12:35:59 | 413.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [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: | | | [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: | | | [Valet](https://github.com/square/Valet) | NEW | 2015-06-01 14:17:12 | 2024-08-22 19:48:26 | 3990.0 | :heavy_check_mark: | | | [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: | | | [tvdatafeed](https://github.com/StreamAlpha/tvdatafeed) | NEW | 2021-04-09 07:50:54 | 2022-08-27 16:53:50 | 395.0 | :heavy_check_mark: | | | [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: | | | [Schedulis](https://github.com/WeBankFinTech/Schedulis) | NEW | 2020-05-07 06:37:09 | 2024-09-11 09:02:33 | 386.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [cryptostore](https://github.com/bmoscon/cryptostore) | NEW | 2019-01-26 00:39:36 | 2024-04-18 17:37:54 | 383.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [osgeo](https://github.com/OSGeo/osgeo) | NEW | 2017-07-13 14:53:37 | 2024-04-30 18:46:41 | 363.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [mplfinance](https://github.com/matplotlib/mplfinance) | NEW | 2019-12-05 16:32:32 | 2024-04-02 18:41:57 | 3601.0 | :heavy_check_mark: | | | [tsfeatures](https://github.com/Nixtla/tsfeatures) | NEW | 2019-11-20 17:29:55 | 2024-04-16 00:34:18 | 360.0 | :heavy_check_mark: | | | [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: | | | [TimeChart](https://github.com/huww98/TimeChart) | NEW | 2020-01-21 09:17:04 | 2024-01-28 13:26:56 | 359.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [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: | | | [pysec](https://github.com/lukerosiak/pysec) | NEW | 2013-05-04 23:03:02 | 2014-01-22 21:15:22 | 344.0 | :heavy_multiplication_x: | | | [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: | | | [edgar](https://github.com/datasets/edgar) | NEW | 2014-03-03 20:17:23 | 2018-07-07 16:31:59 | 328.0 | :heavy_multiplication_x: | | | [FOTOSPLOIT-](https://github.com/Juanhacker051/FOTOSPLOIT-) | NEW | 2020-07-12 23:02:30 | 2020-07-12 23:02:31 | 322.0 | :heavy_multiplication_x: | | | [SKAB](https://github.com/waico/SKAB) | NEW | 2020-07-19 06:15:02 | 2024-08-11 20:53:38 | 321.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [fibo](https://github.com/edmcouncil/fibo) | NEW | 2014-02-07 18:35:28 | 2024-09-20 19:08:26 | 320.0 | :heavy_check_mark: | | | [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: | | | [TabFormer](https://github.com/IBM/TabFormer) | NEW | 2020-10-20 17:20:36 | 2022-02-03 17:24:01 | 319.0 | :heavy_multiplication_x: | | | [SAITS](https://github.com/WenjieDu/SAITS) | NEW | 2021-12-07 14:57:37 | 2024-08-29 05:21:18 | 319.0 | :heavy_check_mark: | | | [beringei](https://github.com/facebookarchive/beringei) | NEW | 2016-10-11 00:45:02 | 2018-07-11 17:25:48 | 3173.0 | :heavy_multiplication_x: | | | [CryptoApp](https://github.com/iampawan/CryptoApp) | NEW | 2018-03-10 11:34:46 | 2019-05-25 03:16:23 | 316.0 | :heavy_multiplication_x: | | | [pynance](https://github.com/GriffinAustin/pynance) | NEW | 2014-11-05 23:11:23 | 2021-02-03 02:29:31 | 315.0 | :heavy_multiplication_x: | | | [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: | | | [SFA](https://github.com/patrickzib/SFA) | NEW | 2016-02-22 14:32:19 | 2022-03-16 08:24:06 | 310.0 | :heavy_multiplication_x: | | | [EconomicTracker](https://github.com/OpportunityInsights/EconomicTracker) | NEW | 2020-06-17 04:35:43 | 2024-09-27 15:50:13 | 306.0 | :heavy_check_mark: | | | [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: | | | [tempo](https://github.com/databrickslabs/tempo) | NEW | 2020-07-14 15:43:11 | 2024-07-11 21:53:09 | 306.0 | :heavy_check_mark: | | | [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: | | | [rollup](https://github.com/ankane/rollup) | NEW | 2020-09-07 22:28:56 | 2024-09-27 02:43:03 | 301.0 | :heavy_check_mark: | | | [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: | | | [cryptoexchange](https://github.com/coingecko/cryptoexchange) | NEW | 2017-07-03 10:25:10 | 2020-06-22 13:16:13 | 298.0 | :heavy_multiplication_x: | | | [DoppelGANger](https://github.com/fjxmlzn/DoppelGANger) | NEW | 2019-09-28 19:58:41 | 2023-11-03 06:07:19 | 298.0 | :heavy_check_mark: | | | [simfin](https://github.com/SimFin/simfin) | NEW | 2019-09-25 13:25:42 | 2024-04-03 11:30:11 | 298.0 | :heavy_check_mark: | | | [neuralforecast](https://github.com/Nixtla/neuralforecast) | NEW | 2021-04-26 00:15:19 | 2024-09-23 15:26:40 | 2969.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [anomalyzer](https://github.com/lytics/anomalyzer) | NEW | 2014-07-11 23:29:39 | 2015-11-02 00:06:50 | 291.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [controllers](https://github.com/MetaMask/controllers) | NEW | 2018-05-29 12:55:25 | 2024-09-27 16:12:18 | 289.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [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: | | | [ScraXBRL](https://github.com/tooksoi/ScraXBRL) | NEW | 2016-03-06 15:20:23 | 2017-01-18 23:54:44 | 285.0 | :heavy_multiplication_x: | | | [FundamentalAnalysis](https://github.com/JerBouma/FundamentalAnalysis) | NEW | 2019-04-08 11:44:25 | 2024-09-21 18:45:16 | 2835.0 | :heavy_check_mark: | | | [torque](https://github.com/econpy/torque) | NEW | 2013-12-09 06:28:43 | 2015-07-13 09:55:55 | 283.0 | :heavy_multiplication_x: | | | [binjr](https://github.com/binjr/binjr) | NEW | 2016-10-26 12:08:26 | 2024-07-19 12:57:18 | 283.0 | :heavy_check_mark: | | | [armadillo](https://github.com/patrickfav/armadillo) | NEW | 2017-12-19 00:35:28 | 2023-04-01 06:17:12 | 282.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [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: | | | [timeseriescv](https://github.com/sam31415/timeseriescv) | NEW | 2018-09-06 22:23:29 | 2022-02-15 21:31:52 | 267.0 | :heavy_multiplication_x: | | | [rrd4j](https://github.com/rrd4j/rrd4j) | NEW | 2015-04-06 13:59:53 | 2024-08-30 15:18:33 | 266.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [openvdb](https://github.com/AcademySoftwareFoundation/openvdb) | NEW | 2013-04-12 18:39:57 | 2024-09-18 17:00:26 | 2615.0 | :heavy_check_mark: | | | [Visualis](https://github.com/WeBankFinTech/Visualis) | NEW | 2019-11-26 02:47:29 | 2024-03-20 09:12:50 | 261.0 | :heavy_check_mark: | | | [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: | | | [causalai](https://github.com/salesforce/causalai) | NEW | 2022-11-21 18:20:58 | 2023-09-22 19:29:38 | 256.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [DataFrame](https://github.com/hosseinmoein/DataFrame) | NEW | 2017-10-28 17:25:45 | 2024-09-17 13:48:45 | 2437.0 | :heavy_check_mark: | | | [IDTxl](https://github.com/pwollstadt/IDTxl) | NEW | 2015-07-16 07:14:21 | 2024-01-15 14:27:23 | 243.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [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: | | | [griddb](https://github.com/griddb/griddb) | NEW | 2016-02-24 06:31:40 | 2024-06-24 02:20:26 | 2370.0 | :heavy_check_mark: | | | [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: | | | [fushare](https://github.com/LowinLi/fushare) | NEW | 2018-07-19 05:46:20 | 2020-03-31 09:42:38 | 235.0 | :heavy_multiplication_x: | | | [TDengine](https://github.com/taosdata/TDengine) | NEW | 2019-07-11 08:33:48 | 2024-09-27 01:13:05 | 23264.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [kapacitor](https://github.com/influxdata/kapacitor) | NEW | 2015-08-31 14:54:42 | 2024-09-26 09:36:27 | 2310.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [cryptory](https://github.com/dashee87/cryptory) | NEW | 2018-02-06 23:49:54 | 2018-06-12 23:40:41 | 229.0 | :heavy_multiplication_x: | | | [labelImg](https://github.com/HumanSignal/labelImg) | NEW | 2015-09-17 01:33:59 | 2022-09-22 22:12:32 | 22541.0 | :heavy_multiplication_x: | | | [labelImg](https://github.com/heartexlabs/labelImg) | NEW | 2015-09-17 01:33:59 | 2022-09-22 22:12:32 | 22541.0 | :heavy_multiplication_x: | | | [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: | | | [FinQA](https://github.com/czyssrs/FinQA) | NEW | 2021-05-13 21:49:30 | 2022-06-06 02:12:33 | 225.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [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: | | | [nixtla](https://github.com/Nixtla/nixtla) | NEW | 2021-09-23 15:48:41 | 2024-09-27 20:07:03 | 2207.0 | :heavy_check_mark: | | | [cryptofeed](https://github.com/bmoscon/cryptofeed) | NEW | 2017-12-16 12:35:23 | 2024-09-23 00:54:42 | 2206.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [calmap](https://github.com/martijnvermaat/calmap) | NEW | 2015-12-05 19:46:51 | 2021-07-11 10:04:57 | 211.0 | :heavy_multiplication_x: | | | [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: | | | [FinMind](https://github.com/FinMind/FinMind) | NEW | 2018-12-16 07:16:25 | 2024-09-28 09:54:49 | 2100.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [kairos](https://github.com/agoragames/kairos) | NEW | 2012-04-11 19:24:08 | 2017-02-03 19:52:38 | 207.0 | :heavy_multiplication_x: | | | [wxee](https://github.com/aazuspan/wxee) | NEW | 2021-07-22 02:13:27 | 2023-12-22 06:59:33 | 206.0 | :heavy_check_mark: | | | [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: | | | [.config](https://github.com/zszszszsz/.config) | NEW | 2020-06-23 17:51:35 | 2020-06-23 17:51:37 | 204.0 | :heavy_multiplication_x: | | | [PyRate](https://github.com/GeoscienceAustralia/PyRate) | NEW | 2015-05-25 02:12:46 | 2022-02-25 04:08:37 | 203.0 | :heavy_multiplication_x: | | | [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: | | | [CoinTrend](https://github.com/CoinTrend/CoinTrend) | NEW | 2022-10-28 16:22:23 | 2024-09-24 18:15:23 | 201.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [AmortizedCausalDiscovery](https://github.com/loeweX/AmortizedCausalDiscovery) | NEW | 2020-06-18 18:08:19 | 2022-03-25 13:03:02 | 198.0 | :heavy_multiplication_x: | | | [openmicroscopy](https://github.com/ome/openmicroscopy) | NEW | 2011-08-18 14:26:02 | 2024-08-15 12:39:02 | 196.0 | :heavy_check_mark: | | | [opentick](https://github.com/rustdesk/opentick) | NEW | 2018-08-26 14:02:09 | 2020-10-25 17:19:32 | 196.0 | :heavy_multiplication_x: | | | [DeepSense](https://github.com/yscacaca/DeepSense) | NEW | 2017-07-02 21:38:33 | 2017-12-12 23:44:24 | 196.0 | :heavy_multiplication_x: | | | [tstables](https://github.com/afiedler/tstables) | NEW | 2014-05-13 13:59:23 | 2015-10-10 17:37:47 | 195.0 | :heavy_multiplication_x: | | | [sjvisualizer](https://github.com/SjoerdTilmans/sjvisualizer) | NEW | 2022-02-12 13:30:09 | 2024-06-12 12:39:45 | 195.0 | :heavy_check_mark: | | | [Zenroom](https://github.com/dyne/Zenroom) | NEW | 2017-12-02 12:15:05 | 2024-09-24 14:50:59 | 195.0 | :heavy_check_mark: | | | [CalendarHeatmap](https://github.com/Zacharysp/CalendarHeatmap) | NEW | 2020-03-03 07:38:52 | 2020-10-20 22:38:25 | 194.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [marketstore](https://github.com/alpacahq/marketstore) | NEW | 2018-01-07 07:27:25 | 2022-11-07 01:51:10 | 1866.0 | :heavy_check_mark: | | | [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: | | | [finnts](https://github.com/microsoft/finnts) | NEW | 2021-07-02 16:53:31 | 2024-08-05 15:07:05 | 184.0 | :heavy_check_mark: | | | [FlashDB](https://github.com/armink/FlashDB) | NEW | 2020-05-24 10:15:56 | 2024-09-17 09:29:42 | 1839.0 | :heavy_check_mark: | | | [prophet](https://github.com/facebook/prophet) | NEW | 2016-11-16 01:50:08 | 2024-09-29 00:33:14 | 18314.0 | :heavy_check_mark: | | | [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: | | | [OpenOA](https://github.com/NREL/OpenOA) | NEW | 2016-12-22 18:16:30 | 2024-05-24 18:55:57 | 183.0 | :heavy_check_mark: | | | [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: | | | [aaltd18](https://github.com/hfawaz/aaltd18) | NEW | 2018-08-02 13:13:26 | 2018-10-11 08:55:38 | 182.0 | :heavy_multiplication_x: | | | [gun](https://github.com/amark/gun) | NEW | 2014-07-31 15:52:10 | 2024-07-23 12:56:40 | 18068.0 | :heavy_check_mark: | | | [STLDecompose](https://github.com/jrmontag/STLDecompose) | NEW | 2017-10-16 20:27:52 | 2019-03-03 04:39:50 | 180.0 | :heavy_multiplication_x: | | | [mstables](https://github.com/caiobran/mstables) | NEW | 2019-02-20 21:00:59 | 2023-07-27 21:39:51 | 178.0 | :heavy_check_mark: | | | [AdaTime](https://github.com/emadeldeen24/AdaTime) | NEW | 2022-03-17 01:22:42 | 2023-06-07 13:04:27 | 178.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [zohmg](https://github.com/zohmg/zohmg) | NEW | 2009-06-01 15:35:35 | 2012-10-16 15:13:14 | 174.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [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: | | | [fili](https://github.com/yahoo/fili) | NEW | 2016-06-10 22:07:59 | 2023-07-10 20:17:43 | 172.0 | :heavy_check_mark: | | | [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: | | | [openHistorian](https://github.com/GridProtectionAlliance/openHistorian) | NEW | 2015-09-30 13:34:37 | 2024-09-04 04:17:19 | 172.0 | :heavy_check_mark: | | | [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: | | | [reductstore](https://github.com/reductstore/reductstore) | NEW | 2021-12-23 21:27:52 | 2024-09-26 07:34:44 | 169.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [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: | | | [redtide](https://github.com/qks1lver/redtide) | NEW | 2018-08-19 20:13:44 | 2020-05-22 05:45:27 | 167.0 | :heavy_multiplication_x: | | | [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: | | | [AutoMunge](https://github.com/Automunge/AutoMunge) | NEW | 2018-11-07 16:21:23 | 2024-08-31 09:37:22 | 165.0 | :heavy_check_mark: | | | [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: | | | [FinancialDataAnalysisWithPython](https://github.com/LearnPythonWithRune/FinancialDataAnalysisWithPython) | NEW | 2021-03-03 12:53:25 | 2022-06-26 16:16:27 | 165.0 | :heavy_check_mark: | | | [FinShark](https://github.com/teddysmithdev/FinShark) | NEW | 2023-08-14 14:17:47 | 2024-02-18 18:37:14 | 163.0 | :heavy_check_mark: | | | [investpy](https://github.com/alvarobartt/investpy) | NEW | 2018-11-27 14:51:47 | 2022-10-02 09:44:04 | 1626.0 | :heavy_check_mark: | | | [stocklook](https://github.com/zbarge/stocklook) | NEW | 2017-10-29 22:05:01 | 2018-06-22 03:07:36 | 162.0 | :heavy_multiplication_x: | | | [trainset](https://github.com/Geocene/trainset) | NEW | 2019-02-13 21:21:03 | 2022-11-21 21:25:07 | 162.0 | :heavy_check_mark: | | | [FRB](https://github.com/avelkoski/FRB) | NEW | 2016-01-10 15:55:11 | 2018-12-22 18:21:16 | 162.0 | :heavy_multiplication_x: | | | [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: | | | [QuantInvestStrats](https://github.com/ArturSepp/QuantInvestStrats) | NEW | 2022-12-30 16:57:52 | 2024-09-10 06:45:57 | 160.0 | :heavy_check_mark: | | | [springMvcPlusMongo](https://github.com/caijiahao/springMvcPlusMongo) | NEW | 2016-11-11 06:17:47 | 2016-12-22 04:08:01 | 160.0 | :heavy_multiplication_x: | | | [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: | | | [tsod](https://github.com/DHI/tsod) | NEW | 2021-01-12 09:53:32 | 2023-12-19 13:30:54 | 160.0 | :heavy_check_mark: | | | [miditime](https://github.com/cirlabs/miditime) | NEW | 2015-05-12 21:48:29 | 2016-09-29 21:56:25 | 160.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [TAcharts](https://github.com/cartercarlson/TAcharts) | NEW | 2019-09-05 00:02:11 | 2023-01-01 19:02:35 | 155.0 | :heavy_check_mark: | | | [TAcharts](https://github.com/carlfarterson/TAcharts) | NEW | 2019-09-05 00:02:11 | 2023-01-01 19:02:35 | 155.0 | :heavy_check_mark: | | | [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: | | | [EdgarRenderer](https://github.com/Arelle/EdgarRenderer) | NEW | 2015-04-17 19:28:57 | 2024-09-20 13:31:23 | 155.0 | :heavy_check_mark: | | | [TSDB](https://github.com/WenjieDu/TSDB) | NEW | 2022-04-01 09:44:47 | 2024-09-11 14:01:34 | 155.0 | :heavy_check_mark: | | | [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: | | | [jhTAlib](https://github.com/joosthoeks/jhTAlib) | NEW | 2016-10-01 20:32:21 | 2024-09-02 12:47:18 | 152.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [Phinch](https://github.com/PitchInteractiveInc/Phinch) | NEW | 2013-11-07 17:59:53 | 2021-10-27 23:05:24 | 149.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [highfrequency](https://github.com/jonathancornelissen/highfrequency) | NEW | 2012-12-24 11:15:54 | 2022-12-05 21:01:34 | 147.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [wotan](https://github.com/hippke/wotan) | NEW | 2019-02-23 17:24:58 | 2021-09-24 07:06:34 | 145.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [questdb](https://github.com/questdb/questdb) | NEW | 2014-04-28 23:29:15 | 2024-09-28 12:22:42 | 14372.0 | :heavy_check_mark: | | | [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: | | | [crypto](https://github.com/JesseVent/crypto) | NEW | 2017-12-19 02:51:58 | 2020-11-28 10:48:25 | 143.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [hadoopcryptoledger](https://github.com/ZuInnoTe/hadoopcryptoledger) | NEW | 2016-03-28 16:08:49 | 2022-07-24 13:54:59 | 141.0 | :heavy_multiplication_x: | | | [calplot](https://github.com/tomkwok/calplot) | NEW | 2020-01-14 12:57:41 | 2022-10-31 07:51:53 | 141.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [InStock](https://github.com/myhhub/InStock) | NEW | 2023-03-21 01:23:26 | 2024-09-09 06:48:16 | 1397.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [venice](https://github.com/useVenice/venice) | NEW | 2022-08-10 03:19:47 | 2024-04-02 00:44:42 | 135.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [acra](https://github.com/cossacklabs/acra) | NEW | 2016-11-14 16:23:25 | 2024-09-17 12:07:16 | 1349.0 | :heavy_check_mark: | | | [finlib](https://github.com/hartktmk/finlib) | NEW | 2019-05-12 05:00:55 | 2021-03-23 20:03:28 | 134.0 | :heavy_check_mark: | | | [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: | | | [datafeed](https://github.com/yinhm/datafeed) | NEW | 2011-12-22 06:58:49 | 2014-05-30 08:11:40 | 133.0 | :heavy_multiplication_x: | | | [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: | | | [FXModelValidation](https://github.com/plandem/FXModelValidation) | NEW | 2014-11-17 20:06:02 | 2015-07-24 14:30:16 | 133.0 | :heavy_multiplication_x: | | | [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: | | | [InteractiveVis](https://github.com/oxfordinternetinstitute/InteractiveVis) | NEW | 2012-05-24 15:54:46 | 2015-10-16 11:13:41 | 131.0 | :heavy_multiplication_x: | | | [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: | | | [tigramite](https://github.com/jakobrunge/tigramite) | NEW | 2017-05-15 10:20:26 | 2024-07-17 08:29:53 | 1302.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [coinbash](https://github.com/8go/coinbash) | NEW | 2017-12-04 12:58:24 | 2022-05-17 17:15:47 | 129.0 | :heavy_multiplication_x: | | | [finreportr](https://github.com/sewardlee337/finreportr) | NEW | 2015-08-02 21:20:24 | 2022-01-17 07:24:26 | 128.0 | :heavy_multiplication_x: | | | [ElliottWaveAnalyzer](https://github.com/btcorgtfo/ElliottWaveAnalyzer) | NEW | 2021-05-07 19:17:48 | 2024-06-05 17:55:12 | 128.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [tsbs](https://github.com/timescale/tsbs) | NEW | 2018-08-08 14:30:28 | 2023-09-21 13:18:59 | 1271.0 | :heavy_check_mark: | | | [EDGAR](https://github.com/bellingcat/EDGAR) | NEW | 2023-10-25 18:13:30 | 2024-09-18 17:27:42 | 127.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [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: | | | [tsgm](https://github.com/AlexanderVNikitin/tsgm) | NEW | 2022-06-03 08:35:31 | 2024-08-16 14:41:35 | 124.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [msda](https://github.com/ajayarunachalam/msda) | NEW | 2021-02-03 17:18:35 | 2021-10-07 13:13:47 | 123.0 | :heavy_multiplication_x: | | | [blockhead](https://github.com/darrylyeo/blockhead) | NEW | 2020-10-22 01:35:50 | 2024-08-26 16:26:14 | 123.0 | :heavy_check_mark: | | | [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: | | | [covid19](https://github.com/pomber/covid19) | NEW | 2020-03-13 04:40:32 | 2023-03-10 08:32:41 | 1227.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [astsa](https://github.com/nickpoison/astsa) | NEW | 2016-11-25 17:43:41 | 2024-09-28 18:54:27 | 120.0 | :heavy_check_mark: | | | [DeepTimeSeries](https://github.com/pipidog/DeepTimeSeries) | NEW | 2018-01-25 02:47:17 | 2018-01-26 19:41:20 | 119.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [killrweather](https://github.com/killrweather/killrweather) | NEW | 2014-10-07 16:53:21 | 2016-12-20 02:45:16 | 1182.0 | :heavy_multiplication_x: | | | [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: | | | [egads](https://github.com/yahoo/egads) | NEW | 2015-05-06 17:47:52 | 2022-01-04 16:32:30 | 1172.0 | :heavy_multiplication_x: | | | [tokencaps](https://github.com/pRoy24/tokencaps) | NEW | 2017-11-26 03:00:37 | 2018-10-19 06:15:31 | 117.0 | :heavy_multiplication_x: | | | [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: | | | [machinelearning4finance](https://github.com/manujajay/machinelearning4finance) | NEW | 2023-09-09 07:13:59 | 2024-02-24 20:01:07 | 117.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [facette](https://github.com/facette/facette) | NEW | 2011-08-04 16:28:07 | 2020-06-11 07:45:09 | 1154.0 | :heavy_multiplication_x: | | | [ciphr](https://github.com/frohoff/ciphr) | NEW | 2013-09-25 04:42:53 | 2018-08-04 01:36:10 | 115.0 | :heavy_multiplication_x: | | | [Phirautee](https://github.com/Viralmaniar/Phirautee) | NEW | 2020-04-11 05:59:10 | 2020-08-11 02:23:11 | 115.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [FinanceDataReader](https://github.com/FinanceData/FinanceDataReader) | NEW | 2018-04-19 13:51:59 | 2024-09-09 17:59:03 | 1146.0 | :heavy_check_mark: | | | [dataconnector](https://github.com/brentadamson/dataconnector) | NEW | 2021-03-21 19:50:49 | 2022-02-28 00:58:10 | 114.0 | :heavy_check_mark: | | | [DataFX](https://github.com/guigarage/DataFX) | NEW | 2017-01-16 18:52:23 | 2018-05-23 20:11:54 | 114.0 | :heavy_multiplication_x: | | | [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: | | | [cryo](https://github.com/paradigmxyz/cryo) | NEW | 2023-06-27 00:11:53 | 2024-05-23 16:34:45 | 1133.0 | :heavy_check_mark: | | | [roll](https://github.com/jjf234/roll) | NEW | 2016-04-02 12:42:16 | 2024-09-27 15:14:01 | 113.0 | :heavy_check_mark: | | | [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: | | | [cryptogalaxy](https://github.com/milkywaybrain/cryptogalaxy) | NEW | 2021-04-08 01:09:18 | 2021-12-31 12:56:23 | 113.0 | :heavy_check_mark: | | | [roll](https://github.com/jasonjfoster/roll) | NEW | 2016-04-02 12:42:16 | 2024-09-27 15:14:01 | 113.0 | :heavy_check_mark: | | | [quokka](https://github.com/marsupialtail/quokka) | NEW | 2021-11-19 01:17:06 | 2023-09-30 04:17:34 | 1123.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [coinpare](https://github.com/piotrmurach/coinpare) | NEW | 2018-04-29 19:32:51 | 2023-09-24 21:22:14 | 112.0 | :heavy_check_mark: | | | [tsfile](https://github.com/thulab/tsfile) | NEW | 2017-03-30 14:45:08 | 2018-12-18 03:30:06 | 112.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [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: | | | [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: | | | [arbitragerepair](https://github.com/vicaws/arbitragerepair) | NEW | 2020-08-19 17:04:12 | 2024-01-10 13:24:38 | 110.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [logisland](https://github.com/Hurence/logisland) | NEW | 2016-02-02 10:27:21 | 2023-01-24 08:45:19 | 109.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [CoinWatch](https://github.com/shorthouse/CoinWatch) | NEW | 2023-06-18 11:28:46 | 2024-08-21 17:10:52 | 107.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [piecewise](https://github.com/DataDog/piecewise) | NEW | 2017-06-26 18:19:43 | 2019-03-18 16:23:18 | 104.0 | :heavy_multiplication_x: | | | [tsdl](https://github.com/FinYang/tsdl) | NEW | 2018-11-08 08:20:06 | 2020-07-12 23:35:21 | 103.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [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: | | | [telemanom](https://github.com/khundman/telemanom) | NEW | 2018-06-01 20:33:20 | 2020-07-12 21:01:07 | 1017.0 | :heavy_multiplication_x: | | | [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: | | | [functime](https://github.com/neocortexdb/functime) | NEW | 2023-06-05 23:38:27 | 2024-06-15 14:05:00 | 1015.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [readabs](https://github.com/MattCowgill/readabs) | NEW | 2018-04-03 00:28:46 | 2024-09-10 22:03:43 | 101.0 | :heavy_check_mark: | | | [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: | | | [RedisTimeSeries](https://github.com/RedisTimeSeries/RedisTimeSeries) | NEW | 2018-01-08 09:55:32 | 2024-09-09 11:28:57 | 1006.0 | :heavy_check_mark: | | | [fixofx](https://github.com/wesabe/fixofx) | NEW | 2010-07-23 19:25:03 | 2011-01-01 03:58:04 | 100.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | ================================================ FILE: generated_wiki/data_processing_techniques_and_transformations.md ================================================ | repo | comment | created_at | last_commit | star_count | repo_status | rating | |:----------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------| | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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: | | | [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: | | | [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: | | ================================================ FILE: generated_wiki/deep_learning_and_reinforcement_learning.md ================================================ | repo | comment | created_at | last_commit | star_count | repo_status | rating | |:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------| | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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: | | | [maro](https://github.com/microsoft/maro) | NEW | 2019-12-27 06:48:27 | 2023-10-30 10:34:18 | 844.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [RLQuant](https://github.com/yuriak/RLQuant) | NEW | 2018-04-05 05:42:44 | 2018-08-13 04:18:29 | 337.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [TradingGym](https://github.com/cove9988/TradingGym) | NEW | 2017-11-06 00:50:01 | 2024-09-23 00:44:41 | 210.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [TradingGym](https://github.com/Yvictor/TradingGym) | NEW | 2017-05-01 13:53:32 | 2023-08-12 05:37:32 | 1556.0 | :heavy_check_mark: | | | [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: | | | [IPythonScripts](https://github.com/mgroncki/IPythonScripts) | NEW | 2013-08-18 16:26:25 | 2018-11-18 10:43:05 | 146.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [rl](https://github.com/druce/rl) | NEW | 2019-10-19 04:08:30 | 2023-08-25 18:34:01 | 105.0 | :heavy_check_mark: | | | [StarTrader](https://github.com/jiewwantan/StarTrader) | NEW | 2019-03-04 04:38:15 | 2019-09-12 21:24:15 | 104.0 | :heavy_multiplication_x: | | ================================================ FILE: generated_wiki/derivatives_and_hedging.md ================================================ | repo | comment | created_at | last_commit | star_count | repo_status | rating | |:-----------------------------------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------| | [Options](https://github.com/PHBS/2018.M1.ASP/tree/master/py) | Black Scholes and Copula. | nan | nan | nan | :heavy_check_mark: | | | [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: | | | [optopsy](https://github.com/michaelchu/optopsy) | NEW | 2017-09-17 01:49:54 | 2024-07-06 19:33:10 | 978.0 | :heavy_check_mark: | | | [akshare](https://github.com/jindaxiang/akshare) | NEW | 2019-10-01 07:34:12 | 2024-09-28 06:49:57 | 9042.0 | :heavy_check_mark: | | | [AlgorithmicTrading](https://github.com/JerBouma/AlgorithmicTrading) | NEW | 2019-03-14 09:33:37 | 2023-08-13 07:15:09 | 878.0 | :heavy_check_mark: | | | [lumibot](https://github.com/Lumiwealth/lumibot) | NEW | 2020-09-10 10:00:16 | 2024-09-27 04:30:14 | 877.0 | :heavy_check_mark: | | | [Strata](https://github.com/OpenGamma/Strata) | NEW | 2014-06-16 11:45:55 | 2024-08-28 16:12:28 | 842.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [StockSharp](https://github.com/StockSharp/StockSharp) | NEW | 2014-12-08 07:53:44 | 2024-09-23 21:13:42 | 7097.0 | :heavy_check_mark: | | | [optlib](https://github.com/dbrojas/optlib) | NEW | 2020-08-17 00:30:14 | 2022-11-18 19:12:54 | 644.0 | :heavy_check_mark: | | | [algotrader](https://github.com/torreyleonard/algotrader) | NEW | 2018-04-10 02:31:26 | 2020-08-27 08:16:44 | 635.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [Quantsbin](https://github.com/quantsbin/Quantsbin) | NEW | 2018-07-04 02:23:09 | 2021-05-23 18:14:26 | 476.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [QLNet](https://github.com/amaggiulli/QLNet) | NEW | 2013-08-22 14:51:43 | 2024-08-05 15:31:12 | 381.0 | :heavy_check_mark: | | | [FinanceDatabase](https://github.com/JerBouma/FinanceDatabase) | NEW | 2021-01-28 18:36:09 | 2024-09-22 12:13:59 | 3424.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [optionlab](https://github.com/rgaveiga/optionlab) | NEW | 2023-07-04 19:44:27 | 2024-09-13 14:33:35 | 261.0 | :heavy_check_mark: | | | [paperbroker](https://github.com/philipodonnell/paperbroker) | NEW | 2017-07-06 02:04:51 | 2018-04-08 18:37:57 | 258.0 | :heavy_multiplication_x: | | | [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: | | | [stocktrends](https://github.com/ChillarAnand/stocktrends) | NEW | 2018-02-06 12:56:48 | 2024-04-07 08:31:03 | 240.0 | :heavy_check_mark: | | | [OptionSuite](https://github.com/sirnfs/OptionSuite) | NEW | 2017-04-13 04:39:44 | 2023-07-10 14:45:36 | 222.0 | :heavy_check_mark: | | | [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: | | | [FinancePy](https://github.com/domokane/FinancePy) | NEW | 2019-10-27 15:04:56 | 2024-09-09 18:26:26 | 2096.0 | :heavy_check_mark: | | | [MarketAnalysis](https://github.com/Poseyy/MarketAnalysis) | NEW | 2019-03-28 19:46:34 | 2020-08-06 05:15:46 | 209.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [compendium](https://github.com/sambacha/compendium) | NEW | 2019-05-14 01:07:06 | 2023-07-29 13:34:50 | 196.0 | :heavy_check_mark: | | | [openAlgo](https://github.com/mtompkins/openAlgo) | NEW | 2013-05-28 14:46:53 | 2017-03-24 20:00:24 | 181.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [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: | | | [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: | | | [torchquant](https://github.com/jialuechen/torchquant) | NEW | 2022-01-06 04:26:18 | 2024-09-27 03:33:39 | 156.0 | :heavy_check_mark: | | | [quantlib](https://github.com/piquette/quantlib) | NEW | 2020-04-12 14:20:07 | 2021-04-09 14:53:41 | 142.0 | :heavy_multiplication_x: | | | [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: | | | [opstrat](https://github.com/hashABCD/opstrat) | NEW | 2021-03-17 14:31:33 | 2021-07-25 17:16:11 | 141.0 | :heavy_multiplication_x: | | | [kwenta](https://github.com/Kwenta/kwenta) | NEW | 2021-08-24 16:51:40 | 2023-10-16 19:43:43 | 141.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [wallstreet](https://github.com/mcdallas/wallstreet) | NEW | 2016-01-20 22:03:39 | 2024-03-09 22:31:06 | 1331.0 | :heavy_check_mark: | | | [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: | | | [10101](https://github.com/get10101/10101) | NEW | 2023-01-11 04:46:13 | 2024-08-10 11:55:40 | 127.0 | :heavy_check_mark: | | | [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: | | | [harvest](https://github.com/tfukaza/harvest) | NEW | 2021-06-25 21:29:38 | 2024-06-04 21:02:57 | 122.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [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: | | | [betterOptionsTrading](https://github.com/amit0rana/betterOptionsTrading) | NEW | 2020-04-08 10:34:52 | 2024-09-23 04:57:39 | 117.0 | :heavy_check_mark: | | | [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: | | | [LoopTrader](https://github.com/pattertj/LoopTrader) | NEW | 2021-04-04 16:47:20 | 2022-03-28 15:17:16 | 114.0 | :heavy_multiplication_x: | | | [pyBlackScholesAnalytics](https://github.com/gabrielepompa88/pyBlackScholesAnalytics) | NEW | 2020-08-11 14:18:39 | 2020-09-02 10:27:27 | 111.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [RustQuant](https://github.com/avhz/RustQuant) | NEW | 2022-08-31 10:03:24 | 2024-09-05 20:15:03 | 1067.0 | :heavy_check_mark: | | ================================================ FILE: generated_wiki/extended_research.md ================================================ | repo | comment | created_at | last_commit | star_count | repo_status | rating | |:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------| | [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: | | | [Commodity](https://github.com/felipessalvatore/fin2vec/blob/master/src/Commodity2BR.ipynb) | Commodity influence over Brazilian stocks. | nan | nan | nan | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [PythonMatchingEngine](https://github.com/Surbeivol/PythonMatchingEngine) | NEW | 2019-05-16 12:06:21 | 2021-12-30 10:17:35 | 95.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [bidask](https://github.com/eguidotti/bidask) | NEW | 2022-05-08 20:22:40 | 2024-08-18 18:51:28 | 92.0 | :heavy_check_mark: | | | [MarketDataRec](https://github.com/hftlab/MarketDataRec) | NEW | 2023-04-16 07:49:56 | 2024-04-11 08:53:08 | 92.0 | :heavy_check_mark: | | | [HighFrequencyTradingSVMs](https://github.com/alexdai186/HighFrequencyTradingSVMs) | NEW | 2019-01-10 22:29:11 | 2019-02-24 05:30:19 | 92.0 | :heavy_multiplication_x: | | | [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: | | | [PyLimitOrderBook](https://github.com/abcabhishek/PyLimitOrderBook) | NEW | 2018-01-03 05:56:23 | 2018-01-03 06:19:23 | 90.0 | :heavy_multiplication_x: | | | [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: | | | [wtpy](https://github.com/wondertrader/wtpy) | NEW | 2020-06-18 01:43:25 | 2023-12-31 14:51:00 | 883.0 | :heavy_check_mark: | | | [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: | | | [HFTrader](https://github.com/DrAshBooth/HFTrader) | NEW | 2012-12-03 13:57:19 | 2012-12-12 17:17:09 | 88.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [cashflows](https://github.com/jdvelasq/cashflows) | NEW | 2016-11-23 22:47:40 | 2021-07-22 22:00:46 | 80.0 | :heavy_multiplication_x: | | | [hummingbot](https://github.com/hummingbot/hummingbot) | NEW | 2019-04-02 21:41:52 | 2024-08-28 15:45:11 | 7993.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [performance](https://github.com/alexkachanov/performance) | NEW | 2017-11-28 04:10:43 | 2022-01-19 10:52:06 | 78.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [hftrx](https://github.com/ua1arn/hftrx) | NEW | 2018-12-23 17:25:32 | 2024-08-15 08:40:34 | 74.0 | :heavy_check_mark: | | | [VisualHFT](https://github.com/silahian/VisualHFT) | NEW | 2022-09-20 02:52:30 | 2024-07-11 02:50:02 | 736.0 | :heavy_check_mark: | | | [PyStrategies](https://github.com/danielktaylor/PyStrategies) | NEW | 2016-08-01 21:34:17 | 2021-02-11 19:48:48 | 73.0 | :heavy_multiplication_x: | | | [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: | | | [EarnHFT](https://github.com/qinmoelei/EarnHFT) | NEW | 2024-01-16 04:02:37 | 2024-07-19 03:08:40 | 71.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [StockPredictionRNN](https://github.com/dzitkowskik/StockPredictionRNN) | NEW | 2015-11-26 19:00:35 | 2016-05-21 15:51:22 | 689.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [flow](https://github.com/yazanobeidi/flow) | NEW | 2016-05-11 20:38:31 | 2016-05-14 16:02:05 | 68.0 | :heavy_multiplication_x: | | | [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: | | | [tectonicdb](https://github.com/0b01/tectonicdb) | NEW | 2017-10-03 00:34:01 | 2024-01-25 09:15:02 | 677.0 | :heavy_check_mark: | | | [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: | | | [DistributedATS](https://github.com/mkipnis/DistributedATS) | NEW | 2021-02-22 19:46:33 | 2024-04-14 13:44:13 | 67.0 | :heavy_check_mark: | | | [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: | | | [FullFIX](https://github.com/maxim2266/FullFIX) | NEW | 2015-08-26 09:44:55 | 2022-06-09 14:09:21 | 66.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [tradingrrl](https://github.com/darden1/tradingrrl) | NEW | 2017-03-05 07:20:56 | 2018-11-14 13:19:52 | 65.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [OpenHFT](https://github.com/OpenHFT/OpenHFT) | NEW | 2013-12-26 10:22:00 | 2024-09-26 08:41:16 | 636.0 | :heavy_check_mark: | | | [Werk](https://github.com/AgalmicVentures/Werk) | NEW | 2017-01-07 21:32:01 | 2022-08-21 01:09:33 | 63.0 | :heavy_multiplication_x: | | | [MacroHFT](https://github.com/ZONG0004/MacroHFT) | NEW | 2024-06-19 12:56:35 | 2024-06-28 17:33:59 | 62.0 | :heavy_check_mark: | | | [viperfish](https://github.com/xreptoid/viperfish) | NEW | 2023-09-26 14:22:15 | 2023-10-03 11:04:31 | 62.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [HighFrequencyTradingBot](https://github.com/qtds35k/HighFrequencyTradingBot) | NEW | 2019-02-01 06:32:01 | 2019-02-01 08:26:27 | 61.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [ejtraderCT](https://github.com/ejtraderLabs/ejtraderCT) | NEW | 2021-02-16 15:08:12 | 2023-07-13 14:04:21 | 60.0 | :heavy_check_mark: | | | [CamCapital](https://github.com/camandrewz/CamCapital) | NEW | 2021-04-26 21:38:45 | 2021-04-29 23:06:49 | 60.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [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: | | | [hft](https://github.com/sbenzev/hft) | NEW | 2012-11-29 03:55:33 | 2012-11-10 23:40:29 | 57.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [HFCrypto](https://github.com/PsiPhiTheta/HFCrypto) | NEW | 2017-01-28 12:35:17 | 2017-11-01 22:15:32 | 54.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [Coiner](https://github.com/jihoonerd/Coiner) | NEW | 2017-09-26 04:14:36 | 2018-01-01 13:13:21 | 51.0 | :heavy_multiplication_x: | | | [hft](https://github.com/keyianpai/hft) | NEW | 2019-04-22 13:33:19 | 2019-04-05 01:47:45 | 51.0 | :heavy_multiplication_x: | | | [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: | | | [RipplePower](https://github.com/cping/RipplePower) | NEW | 2014-04-27 07:11:33 | 2021-01-02 07:37:47 | 51.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [creditcardML](https://github.com/eduonix/creditcardML) | NEW | 2018-07-26 10:46:29 | 2018-07-26 10:47:36 | 49.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [tribeca](https://github.com/michaelgrosner/tribeca) | NEW | 2015-07-07 18:40:45 | 2018-02-26 18:01:13 | 3993.0 | :heavy_multiplication_x: | | | [wondertrader](https://github.com/wondertrader/wondertrader) | NEW | 2020-03-30 05:43:52 | 2024-07-01 15:31:04 | 3944.0 | :heavy_check_mark: | | | [HFT](https://github.com/jshellen/HFT) | NEW | 2020-07-19 10:31:17 | 2023-09-24 13:06:18 | 390.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [getIPIntel](https://github.com/blackdotsh/getIPIntel) | NEW | 2015-10-02 21:40:50 | 2024-04-21 06:29:08 | 309.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [spartan](https://github.com/rigtorp/spartan) | NEW | 2012-11-22 04:29:42 | 2015-10-31 03:46:06 | 272.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [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: | | | [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: | | | [hft](https://github.com/nickhuangxinyu/hft) | NEW | 2019-03-12 14:57:01 | 2022-04-20 09:56:09 | 248.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [ITCH](https://github.com/martinobdl/ITCH) | NEW | 2019-03-09 18:20:12 | 2021-10-22 23:41:53 | 225.0 | :heavy_multiplication_x: | | | [fingerprintjs](https://github.com/fingerprintjs/fingerprintjs) | NEW | 2015-02-11 08:49:54 | 2024-09-26 23:12:52 | 21903.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [fraudfinder](https://github.com/GoogleCloudPlatform/fraudfinder) | NEW | 2022-09-01 10:37:19 | 2024-02-08 17:18:59 | 202.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [FXBot](https://github.com/trentstauff/FXBot) | NEW | 2021-05-10 20:47:59 | 2022-04-21 21:19:10 | 196.0 | :heavy_multiplication_x: | | | [bot18](https://github.com/carlos8f/bot18) | NEW | 2018-05-23 14:22:25 | 2018-10-17 08:06:21 | 193.0 | :heavy_multiplication_x: | | | [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: | | | [ReactiveTraderCloud](https://github.com/AdaptiveConsulting/ReactiveTraderCloud) | NEW | 2015-11-13 19:24:11 | 2024-08-14 17:35:51 | 1829.0 | :heavy_check_mark: | | | [hftbacktest](https://github.com/nkaz001/hftbacktest) | NEW | 2022-08-25 14:56:36 | 2024-09-22 15:07:25 | 1814.0 | :heavy_check_mark: | | | [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: | | | [dashboard](https://github.com/hummingbot/dashboard) | NEW | 2022-06-17 19:15:31 | 2024-08-30 06:25:29 | 175.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [antifraud](https://github.com/finint/antifraud) | NEW | 2023-03-22 12:54:08 | 2024-09-18 10:15:55 | 160.0 | :heavy_check_mark: | | | [antifraud](https://github.com/AI4Risk/antifraud) | NEW | 2023-03-22 12:54:08 | 2024-09-18 10:15:55 | 160.0 | :heavy_check_mark: | | | [TradingStrategies](https://github.com/SoftAlgoTrade/TradingStrategies) | NEW | 2017-05-22 20:46:35 | 2017-10-29 11:09:37 | 160.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [SumZeroTrading](https://github.com/rterp/SumZeroTrading) | NEW | 2016-01-19 05:43:31 | 2018-08-30 22:44:52 | 145.0 | :heavy_multiplication_x: | | | [HFTFramework](https://github.com/javifalces/HFTFramework) | NEW | 2021-11-09 07:48:07 | 2024-05-17 15:48:42 | 142.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [beymani](https://github.com/pranab/beymani) | NEW | 2012-01-04 07:22:01 | 2022-04-26 18:46:04 | 129.0 | :heavy_multiplication_x: | | | [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: | | | [lobster](https://github.com/rubik/lobster) | NEW | 2020-09-20 19:21:11 | 2022-09-03 06:55:49 | 127.0 | :heavy_multiplication_x: | | | [fecon236](https://github.com/MathSci/fecon236) | NEW | 2018-04-05 19:34:51 | 2019-01-11 08:07:56 | 126.0 | :heavy_multiplication_x: | | | [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: | | | [HFT](https://github.com/JiayuZou2020/HFT) | NEW | 2022-04-11 09:25:34 | 2023-03-15 07:38:42 | 125.0 | :heavy_check_mark: | | | [FraudDetection](https://github.com/JarFraud/FraudDetection) | NEW | 2019-10-07 03:02:28 | 2022-08-10 07:18:52 | 124.0 | :heavy_multiplication_x: | | | [AXOrderBook](https://github.com/fpga2u/AXOrderBook) | NEW | 2022-06-08 02:55:31 | 2023-06-07 02:03:38 | 124.0 | :heavy_check_mark: | | | [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: | | | [OrderImbalance](https://github.com/shaileshkakkar/OrderImbalance) | NEW | 2018-06-04 16:35:40 | 2018-06-04 16:49:26 | 120.0 | :heavy_multiplication_x: | | | [HFTBOT](https://github.com/Naseefabu/HFTBOT) | NEW | 2022-05-05 05:55:13 | 2023-04-06 15:56:49 | 119.0 | :heavy_check_mark: | | | [FlashFunk](https://github.com/HFQR/FlashFunk) | NEW | 2020-09-18 13:14:37 | 2024-09-01 15:36:32 | 118.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [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: | | | [algotrading](https://github.com/ivopetiz/algotrading) | NEW | 2018-07-10 22:10:41 | 2024-06-23 17:02:46 | 1089.0 | :heavy_check_mark: | | | [system](https://github.com/BillRun/system) | NEW | 2013-04-11 16:14:53 | 2022-09-19 14:24:20 | 108.0 | :heavy_multiplication_x: | | | [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: | | | [448Project](https://github.com/HujiaYuYoyo/448Project) | NEW | 2018-04-14 21:19:21 | 2018-06-10 09:29:37 | 105.0 | :heavy_multiplication_x: | | | [TalkingData](https://github.com/CuteChibiko/TalkingData) | NEW | 2018-05-09 15:17:45 | 2018-05-11 01:32:26 | 104.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | ================================================ FILE: generated_wiki/factor_and_risk_analysis.md ================================================ | repo | comment | created_at | last_commit | star_count | repo_status | rating | |:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------| | [-1](https://github.com/Rastaman4e/-1) | NEW | nan | nan | nan | :heavy_check_mark: | | | [FEEDN](https://github.com/THEFEASTCOIN/FEEDN) | NEW | nan | nan | nan | :heavy_check_mark: | | | [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: | | | [SafetyAndTrade](https://github.com/vrdcas/SafetyAndTrade) | NEW | 2020-04-11 20:18:03 | 2020-04-12 17:00:36 | 9.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [whitepaper](https://github.com/peacockbsc/whitepaper) | NEW | 2021-07-31 23:39:41 | 2022-08-25 09:52:38 | 7.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [-L-](https://github.com/jettbrains/-L-) | NEW | 2019-10-28 21:50:26 | 2019-10-28 21:51:19 | 67.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [financeMacroFactors](https://github.com/sankhaMukherjee/financeMacroFactors) | NEW | 2020-07-22 15:42:14 | 2020-08-23 14:17:13 | 5.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [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: | | | [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: | | | [toraniko](https://github.com/0xfdf/toraniko) | NEW | 2024-07-03 04:04:59 | 2024-08-05 04:58:20 | 376.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [AlphaTrading](https://github.com/jerryxyx/AlphaTrading) | NEW | 2018-05-18 22:09:52 | 2018-08-07 18:05:37 | 324.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [simulate](https://github.com/leolle/simulate) | NEW | 2017-06-04 15:18:21 | 2018-11-11 14:03:40 | 16.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [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: | | | [Quantropy](https://github.com/AlainDaccache/Quantropy) | NEW | 2020-06-13 15:34:25 | 2021-03-15 01:49:23 | 135.0 | :heavy_multiplication_x: | | | [TradeFinexLive](https://github.com/XinFinOrg/TradeFinexLive) | NEW | 2018-03-21 10:05:22 | 2021-08-16 11:40:03 | 13.0 | :heavy_multiplication_x: | | | [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: | | ================================================ FILE: generated_wiki/fixed_income.md ================================================ | repo | comment | created_at | last_commit | star_count | repo_status | rating | |:-----------------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------| | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [woe](https://github.com/boredbird/woe) | NEW | 2017-09-11 07:15:04 | 2018-03-01 10:45:40 | 256.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [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: | | | [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: | | | [pyratings](https://github.com/hsbc/pyratings) | NEW | 2022-03-24 14:51:59 | 2024-06-18 07:03:07 | 19.0 | :heavy_check_mark: | | | [rateslib](https://github.com/attack68/rateslib) | NEW | 2023-03-31 12:47:27 | 2024-09-25 16:07:35 | 128.0 | :heavy_check_mark: | | | [MagentoExtensions](https://github.com/5mehulhelp5/MagentoExtensions) | NEW | 2014-07-03 05:45:54 | 2024-07-29 08:14:55 | 121.0 | :heavy_check_mark: | | ================================================ FILE: generated_wiki/other_models.md ================================================ | repo | comment | created_at | last_commit | star_count | repo_status | rating | |:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------| | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [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 | | [Trend Following](http://inseaddataanalytics.github.io/INSEADAnalytics/ExerciseSet2.html) | A futures trend following portfolio investment strategy. | nan | nan | nan | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [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: | | | [tuneta](https://github.com/jmrichardson/tuneta) | NEW | 2021-01-20 01:05:51 | 2023-10-13 21:26:28 | 400.0 | :heavy_check_mark: | | | [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: | | | [fracdiff](https://github.com/fracdiff/fracdiff) | NEW | 2021-04-27 06:48:47 | 2023-02-05 02:51:15 | 290.0 | :heavy_check_mark: | | | [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: | | | [AMLSim](https://github.com/IBM/AMLSim) | NEW | 2018-12-18 16:14:56 | 2022-02-14 01:00:28 | 255.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [StockFormer](https://github.com/gsyyysg/StockFormer) | NEW | 2023-07-30 07:33:25 | 2023-10-30 12:23:11 | 225.0 | :heavy_check_mark: | | | [pybroker](https://github.com/edtechre/pybroker) | NEW | 2023-01-16 01:11:52 | 2024-09-22 22:01:23 | 1942.0 | :heavy_check_mark: | | | [qlib](https://github.com/microsoft/qlib) | NEW | 2020-08-14 06:46:00 | 2024-09-12 15:44:27 | 15251.0 | :heavy_check_mark: | | | [hyperdrive](https://github.com/suchak1/hyperdrive) | NEW | 2020-06-12 01:05:01 | 2023-07-08 05:21:13 | 138.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [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: | | | [MLiFC](https://github.com/JannesKlaas/MLiFC) | NEW | 2017-09-14 11:47:33 | 2018-02-27 12:15:11 | 105.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [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: | | ================================================ FILE: generated_wiki/personal_papers.md ================================================ | repo | comment | created_at | last_commit | star_count | repo_status | rating | |:--------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------|:------------------------|:-------------------------|:------------------------|:------------------------------|:--------------------| | [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: | | | [Machine Learning in Asset Management](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3420952) | nan | nan | nan | nan | :heavy_check_mark: | | | [Financial Event Prediction using Machine Learning](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3481555) | nan | nan | nan | nan | :heavy_check_mark: | | | [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: | | ================================================ FILE: generated_wiki/portfolio_selection_and_optimisation.md ================================================ | repo | comment | created_at | last_commit | star_count | repo_status | rating | |:--------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------| | [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: | | | [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: | | | [cvxportfolio](https://github.com/cvxgrp/cvxportfolio) | NEW | 2017-01-11 01:16:16 | 2024-09-27 14:09:43 | 968.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | ================================================ FILE: generated_wiki/reinforcement_learning.md ================================================ | repo | comment | created_at | last_commit | star_count | repo_status | rating | |:------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------|:-------------------------|:-------------------------|:------------------------|:------------------------------------|:--------------------| | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | ================================================ FILE: generated_wiki/textual.md ================================================ | repo | comment | created_at | last_commit | star_count | repo_status | rating | |:------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------| | [NLP](https://github.com/toamitesh/NLPinFinance) | This project assembles a lot of NLP operations needed for finance domain. | nan | nan | nan | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [FinBERT](https://github.com/psnonis/FinBERT) | NEW | 2019-07-09 16:34:27 | 2020-05-19 02:02:20 | 197.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [finsight](https://github.com/vishwasg217/finsight) | NEW | 2023-09-06 13:01:39 | 2024-04-22 07:21:27 | 189.0 | :heavy_check_mark: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | ================================================ FILE: generated_wiki/unsupervised.md ================================================ | repo | comment | created_at | last_commit | star_count | repo_status | rating | |:-------------------------------------------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------| | [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: | | | [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: | | | [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: | | | [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: | | | [AnomalyDetectionOnRisk](https://github.com/SimonWesterlindVPD/AnomalyDetectionOnRisk) | NEW | 2018-05-31 15:53:02 | 2018-05-31 16:18:28 | 21.0 | :heavy_multiplication_x: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | | [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: | | ================================================ FILE: git_search.py ================================================ import datetime import os from typing import Dict, List import pandas as pd from conf import PROJECT_ROOT_DIR from git_status import get_repo_list from git_util import get_github_client, get_repo_attributes_dict def convert_repo_list_to_df(repo_list, category): df_list = [] for repo in repo_list: print(repo) attr_dict = get_repo_attributes_dict(repo) attr_dict['name'] = repo.name attr_dict['comment'] = 'NEW' attr_dict['category'] = category attr_dict['repo_path'] = repo.full_name attr_dict['url'] = 'https://github.com/{}'.format(repo.full_name) df_list.append(attr_dict) result_df = pd.DataFrame(df_list) return result_df # generic search functions def search_repo(search_term: str, qualifier_dict: Dict): g = get_github_client() qualifier_str = ' '.join(['{}:{}'.format(k, v) for k, v in iter(qualifier_dict.items())]) if qualifier_str != '': final_search_term = '{} {}'.format(search_term, qualifier_str) else: final_search_term = search_term repo_result = g.search_repositories(final_search_term) return repo_result def search_repo_multiple_terms(term_list: List[str], category: str, min_stars_number: int = None, created_at: str = None, pushed_date: str = None, drop_duplicate: bool = True ): """ :param term_list: :param category: :param min_stars_number: :param created_at: :param pushed_date: :param drop_duplicate: :return: usage: >>> term_list = ['deep learning trading', 'deep learning finance', 'reinforcement learning trading', 'reinforcement learning finance'] >>> category = 'Deep Learning And Reinforcement Learning' >>> min_stars_number = 100 >>> created_at = None >>> pushed_date = None >>> drop_duplicate = True """ repo_df_list = [] for search_term in term_list: repo_list = search_repo_simple(search_term, min_stars_number, created_at=created_at, pushed_date=pushed_date) repo_df = convert_repo_list_to_df(repo_list, category) repo_df_list.append(repo_df) combined_df = pd.concat(repo_df_list).reset_index(drop=True) if drop_duplicate: combined_df = combined_df.drop_duplicates() combined_df['finml_added_date'] = datetime.datetime.now() return combined_df def search_repo_simple(search_term: str = None, min_stars_number: int = None, created_at: str = None, pushed_date: str = None ): """ :param search_term: :param min_stars_number: :param created_at: :param pushed_date: usage: >>> search_term = 'machine learning trading' >>> min_stars_number = 100 >>> created_at = None >>> pushed_date = None """ if search_term is None: _search_term = '' else: _search_term = search_term qualifier_dict = {} if min_stars_number is not None: qualifier_dict['stars'] = '>={}'.format(min_stars_number) if created_at is not None: qualifier_dict['created'] = '>={}'.format(created_at) if pushed_date is not None: qualifier_dict['pushed'] = '>={}'.format(pushed_date) search_result = search_repo(_search_term, qualifier_dict) return search_result def search_new_repo_by_category(category: str, min_stars_number: int = 100, existing_repo_df: pd.DataFrame = None): """ :param category: :param min_stars_number: :param existing_repo_df: :return: usage: >>> category = 'Data Processing Techniques and Transformations' >>> min_stars_number = 100 >>> existing_repo_df = get_repo_list() """ print('*** searching for category [{}] ***'.format(category)) combined_df = None if category == 'Deep Learning And Reinforcement Learning': combined_df = search_repo_multiple_terms(['deep learning trading', 'deep learning finance', 'reinforcement learning trading', 'reinforcement learning finance'], category, min_stars_number=min_stars_number ) elif category == 'Other Models': combined_df = search_repo_multiple_terms(['machine learning trading', 'machine learning finance'], category, min_stars_number=min_stars_number ) elif category == 'Data Processing Techniques and Transformations': combined_df = search_repo_multiple_terms(['data transformation trading', 'data transformation finance', 'data transformation time series', 'data processing trading', 'data processing finance', 'power transform trading', 'power transform finance', 'standardization normalization trading', 'standardization normalization finance', ], category, min_stars_number=int(min_stars_number * 0.5) ) elif category == 'Portfolio Selection and Optimisation': combined_df = search_repo_multiple_terms(['portfolio optimization machine learning finance', 'portfolio optimization machine learning trading', 'portfolio construction machine learning finance', 'portfolio construction machine learning trading', 'portfolio optimization finance', 'portfolio optimization trading', 'portfolio construction finance', 'portfolio construction trading' ], category, min_stars_number=min_stars_number ) elif category == 'Factor and Risk Analysis': combined_df = search_repo_multiple_terms(['risk factor finance', 'risk factor trading', 'risk premia factor finance', 'risk premia factor trading', 'style factor finance', 'style factor trading', 'macro factor finance', 'macro factor trading', ], category, min_stars_number=int(min_stars_number * 0.05) ) elif category == 'Unsupervised': combined_df = search_repo_multiple_terms(['unsupervised finance', 'unsupervised trading' ], category, min_stars_number=int(min_stars_number * 0.1) ) elif category == 'Textual': combined_df = search_repo_multiple_terms(['NLP finance', 'NLP trading' ], category, min_stars_number=min_stars_number ) elif category == 'Derivatives and Hedging': combined_df = search_repo_multiple_terms(['derivatives finance', 'derivatives trading', 'quantlib trading', 'quantlib finance', 'hedging finance', 'hedging trading', 'option trading', 'option finance', 'delta hedge trading', 'delta hedge finance' ], category, min_stars_number=min_stars_number ) elif category == 'Fixed Income': combined_df = search_repo_multiple_terms(['corporate bond finance', 'corporate bond trading', 'muni bond trading', 'muni bond finance', 'investment grade finance', 'investment grade trading', 'high yield trading', 'high yield finance', 'credit rating trading', 'credit rating finance', 'fixed income trading', 'fixed income finance', 'corporate bond', 'muni bond', 'credit rating' ], category, min_stars_number=int(min_stars_number * 0.2) ) elif category == 'Alternative Finance': # don't include crypto here as it will skew the results, consider putting it as a seperate category combined_df = search_repo_multiple_terms(['private equity', 'venture capital', 'real estate trading', 'real estate finance', 'alternative asset trading', 'alternative asset finance', 'commodity trading', 'commodity finance', 'farmland finance', 'farmland trading' ], category, min_stars_number=int(min_stars_number * 0.5) ) elif category == 'Extended Research': combined_df = search_repo_multiple_terms(['fraud detection', 'behavioural finance', 'corporate finance', 'financial economics', 'mathematical finance', 'liquidity finance', 'fx trading', 'company life cycle', 'merger and acquisition', 'farmland trading', 'HFT', 'high frequency trading' ], category, min_stars_number=int(min_stars_number * 0.5) ) elif category == 'Courses': combined_df = search_repo_multiple_terms(['finance courses', 'machine learning courses', 'quantitative finance courses', 'time series courses', 'data science courses', 'financial engineering courses' ], category, min_stars_number=min_stars_number * 2 ) elif category == 'Data': combined_df = search_repo_multiple_terms(['financial data', 'time series data', 'company fundamental data', 'crypto data', 'earnings data', 'fixed income data', 'fx data', 'etf data', 'finance database', 'sec edgar', 'economic data', 'investment data', 'fund data', 'options data', 'financial index data', 'futures data', 'cryptocurrencies data', 'money market data' ], category, min_stars_number=min_stars_number ) # only find ones that need to be inserted if combined_df is not None and not combined_df.empty and existing_repo_df is not None: combined_df = combined_df[ ~combined_df['repo_path'].str.lower().isin(existing_repo_df['repo_path'].dropna().str.lower())] return combined_df def search_new_repo_and_append(min_stars_number: int = 100, filter_list=None): """ :param min_stars_number: :param filter_list: """ repo_df = get_repo_list() category_list = repo_df['category'].unique().tolist() if filter_list is not None: category_list = [x for x in category_list if x in filter_list] new_repo_list = [] for category in category_list: combined_df = search_new_repo_by_category(category, min_stars_number, repo_df) if combined_df is not None: new_repo_list.append(combined_df) new_repo_df = pd.concat(new_repo_list).reset_index(drop=True) # drop duplicate regardless of the category, keep first one for now new_repo_df = new_repo_df.drop_duplicates(subset='repo_path') final_df = pd.concat([repo_df, new_repo_df]).reset_index(drop=True) final_df = final_df.sort_values(by='category') final_df.to_csv(os.path.join(PROJECT_ROOT_DIR, 'raw_data', 'url_list.csv'), index=False) def search_new_repo_by_category_per_day(min_stars_number: int = 100): repo_df = get_repo_list() category_list = repo_df['category'].unique().tolist() # based on today's date, pick which category to search to get around api limit current_date = datetime.datetime.today() n_category = len(category_list) days_in_week = 7 if n_category % days_in_week == 0: n_repo_to_process_per_day = int(n_category / days_in_week) else: n_repo_to_process_per_day = int(n_category / days_in_week) + 1 today_selection = current_date.weekday() repo_to_process = category_list[ today_selection * n_repo_to_process_per_day:(today_selection + 1) * n_repo_to_process_per_day] search_new_repo_and_append(min_stars_number=min_stars_number, filter_list=repo_to_process) if __name__ == '__main__': search_new_repo_by_category_per_day(min_stars_number=100) ================================================ FILE: git_status.py ================================================ import os from conf import PROJECT_ROOT_DIR import re import pandas as pd from git_util import get_repo_attributes_dict, get_github_client, get_repo_path def get_repo_list(): repo_df = pd.read_csv(os.path.join(PROJECT_ROOT_DIR, 'raw_data', 'url_list.csv')) if 'repo_path' not in repo_df.columns: repo_df['repo_path'] = repo_df['url'].apply(get_repo_path) return repo_df def get_repo_status(): g = get_github_client() repo_df = get_repo_list() for idx, row in repo_df.iterrows(): repo_path = row['repo_path'] if not pd.isna(repo_path): try: print('processing [{}]'.format(repo_path)) repo = g.get_repo(repo_path) repo_attr_dict = get_repo_attributes_dict(repo) except Exception as ex: print(ex) repo_attr_dict = {} for k, v in iter(repo_attr_dict.items()): repo_df.loc[idx, k] = v repo_df.to_csv(os.path.join(PROJECT_ROOT_DIR, 'raw_data', 'url_list.csv'), index=False) @DeprecationWarning def parse_readme_md(): """ :return: usage: >>> df = parse_readme_md() >>> df.to_csv(os.path.join(PROJECT_ROOT_DIR, 'raw_data', 'url_list.csv'), index=False) """ file_path = os.path.join(PROJECT_ROOT_DIR, 'README.md') with open(file_path) as f: lines = f.readlines()[11:] # skip heading all_df_list = [] for line_num in range(len(lines)): line = lines[line_num] if line.strip().startswith('#'): # find a heading heading = line.strip().replace('#', '').replace('\n', '').strip() # parse until next # or eof parsed_list = [] line_num += 1 while line_num < len(lines) and not lines[line_num].strip().startswith('#'): link_line = lines[line_num].replace('\n', '').strip() if len(link_line) > 0: # usually in the format of '- [NAME](link) - comment split_sections = link_line.split('- ') if len(split_sections) == 2: comment_str = None elif len(split_sections) >= 3: comment_str = '-'.join(split_sections[2:]).strip() else: raise Exception('link_line [{}] not supported'.format(link_line)) title_and_link = split_sections[1].strip() title = re.search(r'\[(.*?)\]', title_and_link) title_str = None if title is not None: title_str = title.group(1) title_and_link = title_and_link.replace('[{}]'.format(title_str), '') m_link = re.search(r'\((.*?)\)', title_and_link) link_str = None if m_link is not None: link_str = m_link.group(1) parsed_set = (title_str, link_str, comment_str) parsed_list.append(parsed_set) line_num += 1 parsed_df = pd.DataFrame(parsed_list, columns=['name', 'url', 'comment']) parsed_df['category'] = heading all_df_list.append(parsed_df) final_df = pd.concat(all_df_list).reset_index(drop=True) return final_df if __name__ == '__main__': get_repo_status() ================================================ FILE: git_util.py ================================================ from github import Github, Repository, GithubException import os import datetime def get_github_client(): # search for app_client and client secrets first, since this allow higher api request limit github_app = os.environ.get('GIT_APP_ID') if github_app is None: github_token = os.environ.get('GIT_TOKEN') g = Github(github_token) else: github_app_secret = os.environ.get('GIT_APP_SECRET') g = Github( client_id=github_app, client_secret=github_app_secret) return g # ******* # repo specific information # ******* def get_repo_path(in_url): repo_path = None if 'https://github.com/' in in_url: url_query = in_url.replace('https://github.com/', '') repo_path = '/'.join(url_query.split('/')[:2]) return repo_path def get_last_commit_date(input_repo: Repository): """ get latest commit from repo :param input_repo: :return: """ page = input_repo.get_commits().get_page(0)[0] return page.commit.author.date def get_repo_attributes_dict(input_repo: Repository, last_commit_within_years: int = 2): result_dict = {} try: result_dict = { 'repo_path': input_repo.full_name, 'created_at': input_repo.created_at, 'last_commit': get_last_commit_date(input_repo), 'last_update': input_repo.updated_at, 'star_count': input_repo.stargazers_count, 'fork_count': input_repo.forks_count, 'contributors_count': input_repo.get_contributors().totalCount } today = datetime.datetime.today() check_start_date = datetime.datetime(today.year - last_commit_within_years, today.month, today.day) if result_dict['last_commit'] >= check_start_date: repo_status = 'active' else: repo_status = 'inactive' result_dict['repo_status'] = repo_status except Exception as e: print(e) return result_dict ================================================ FILE: raw_data/__init__.py ================================================ ================================================ FILE: raw_data/process.drawio ================================================ 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yahoofinancials,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 Art 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,, Kiva 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,, botupdate,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 pitch_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 Venture 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,, realtime-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 cot_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 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.,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,, notebooks,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 VC 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,, Visualizing-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 awesome-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 HomeHarvest,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 Private 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,, Blockchain,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,, Oxford Man,https://www.oxford-man.ox.ac.uk/,Oxford-Man Institute of Quantitative Finance,Colleges Centers and Departments,,,,,,,,,, Berkeley 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,,,,,,,,,, NYU FRE,https://engineering.nyu.edu/academics/departments/finance-and-risk-engineering,Finance and Risk Engineering (NYU Tandon),Colleges Centers and Departments,,,,,,,,,, Cornell University,https://www.cornell.edu/,,Colleges Centers and Departments,,,,,,,,,, Stanford Advanced Financial Technologies,https://fintech.stanford.edu/,Stanford Advanced Financial Technologies Laboratory,Colleges Centers and Departments,,,,,,,,,, NYU Courant,https://cims.nyu.edu/,"Courant Institute of Mathematical Sciences, New York University",Colleges Centers and Departments,,,,,,,,,, home,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 MTH594_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 Risk 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,, PythonDataScienceFullThrottle,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 china-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 TeachingDataScience,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 ML_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 MLND,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 datascience-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 ml-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 machine-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 ml-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 DAT4,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 DAT8,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 Stanford-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 stanford-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 Mathematical 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,, feature-engineering-for-machine-learning,https://github.com/solegalli/feature-engineering-for-machine-learning,NEW,Courses,2024-12-03 18:11:34,377.0,401.0,2.0,2019-05-01 08:05:42,2023-12-05 12:07:06,solegalli/feature-engineering-for-machine-learning,active,,2022-10-24 03:45:11.867353 competitive-data-science,https://github.com/hse-aml/competitive-data-science,NEW,Courses,2024-12-19 10:56:05,651.0,616.0,9.0,2017-10-28 14:56:44,2020-06-13 13:44:26,hse-aml/competitive-data-science,inactive,,2021-04-19 01:25:20.750834 mlcourse.ai,https://github.com/Yorko/mlcourse.ai,NEW,Courses,2024-12-28 19:06:18,9844.0,5678.0,8.0,2017-02-27 08:32:20,2024-11-26 15:46:08,Yorko/mlcourse.ai,active,,2021-04-19 01:25:20.750834 geospatialdatascience,https://github.com/mszell/geospatialdatascience,NEW,Courses,2024-12-27 15:58:24,553.0,112.0,2.0,2022-05-14 12:59:52,2022-11-02 08:27:01,mszell/geospatialdatascience,inactive,,2022-07-25 03:07:03.785161 machine-learning-online-2018,https://github.com/coding-blocks-archives/machine-learning-online-2018,NEW,Courses,2024-12-24 14:37:24,344.0,649.0,3.0,2018-07-18 04:24:58,2020-07-02 09:24:40,coding-blocks-archives/machine-learning-online-2018,inactive,,2021-04-19 01:25:20.750834 Computational-Finance-Course,https://github.com/LechGrzelak/Computational-Finance-Course,NEW,Courses,2024-12-24 20:49:20,388.0,138.0,1.0,2021-02-20 16:09:03,2024-03-01 11:58:38,LechGrzelak/Computational-Finance-Course,active,,2023-02-20 02:17:31.102334 machine-learning-notebooks,https://github.com/krasserm/machine-learning-notebooks,NEW,Courses,2024-12-18 02:31:10,343.0,145.0,1.0,2017-07-24 10:21:05,2020-09-07 12:48:43,krasserm/machine-learning-notebooks,inactive,,2021-04-19 01:25:20.750834 awesome-ml-courses,https://github.com/luspr/awesome-ml-courses,NEW,Courses,2024-12-28 11:54:28,2752.0,286.0,6.0,2020-05-08 20:41:59,2024-12-12 15:16:48,luspr/awesome-ml-courses,active,,2021-04-19 01:25:20.750834 ML-Course-Notes,https://github.com/dair-ai/ML-Course-Notes,NEW,Courses,2024-12-27 18:30:12,6075.0,802.0,3.0,2022-03-17 11:18:50,2023-02-13 03:38:54,dair-ai/ML-Course-Notes,active,,2022-03-21 02:19:19.984034 Quant-Finance-Resources,https://github.com/PyPatel/Quant-Finance-Resources,NEW,Courses,2024-12-28 13:59:38,575.0,100.0,1.0,2019-08-12 15:19:22,2021-09-13 10:13:59,PyPatel/Quant-Finance-Resources,inactive,,2023-03-06 02:18:30.736831 DAT7,https://github.com/justmarkham/DAT7,NEW,Courses,2024-11-07 07:50:44,232.0,197.0,1.0,2015-05-16 02:29:54,2016-03-18 16:20:30,justmarkham/DAT7,inactive,,2021-04-19 01:25:20.750834 stat479-machine-learning-fs19,https://github.com/rasbt/stat479-machine-learning-fs19,NEW,Courses,2024-12-28 06:38:25,724.0,243.0,1.0,2019-08-07 07:36:20,2020-11-28 00:04:07,rasbt/stat479-machine-learning-fs19,inactive,,2021-04-19 01:25:20.750834 DataCamp,https://github.com/wblakecannon/DataCamp,NEW,Courses,2021-05-15 10:12:20,1167.0,1369.0,28.0,2017-09-18 20:51:08,2020-10-01 20:13:05,wblakecannon/DataCamp,active,,2021-04-19 01:25:20.750834 dl-workshop,https://github.com/ericmjl/dl-workshop,NEW,Courses,2024-12-04 08:43:20,224.0,54.0,3.0,2018-12-20 22:34:43,2022-05-14 19:09:02,ericmjl/dl-workshop,inactive,,2023-04-17 01:58:29.300207 CS-7641-Machine-Learning-Notes,https://github.com/mohamedameen93/CS-7641-Machine-Learning-Notes,NEW,Courses,2024-12-13 19:09:28,207.0,98.0,1.0,2019-01-22 00:53:10,2021-01-19 22:18:02,mohamedameen93/CS-7641-Machine-Learning-Notes,inactive,,2024-08-05 01:28:10.525794 PyMLSlides,https://github.com/dmitriydligach/PyMLSlides,NEW,Courses,2024-12-11 04:35:39,308.0,124.0,1.0,2017-06-05 13:59:15,2021-10-07 17:34:18,dmitriydligach/PyMLSlides,inactive,,2021-04-19 01:25:20.750834 MachineLearning_Ng,https://github.com/HuangCongQing/MachineLearning_Ng,NEW,Courses,2024-12-22 03:10:44,234.0,104.0,1.0,2017-10-14 13:06:55,2020-05-11 01:56:28,HuangCongQing/MachineLearning_Ng,inactive,,2022-08-08 03:00:52.405527 Introduction-to-Machine-Learning,https://github.com/codeheroku/Introduction-to-Machine-Learning,NEW,Courses,2024-12-17 17:49:53,431.0,916.0,3.0,2019-02-09 12:07:52,2020-11-28 08:44:08,codeheroku/Introduction-to-Machine-Learning,inactive,,2021-04-19 01:25:20.750834 MachineLearningWithPython,https://github.com/JerryKurata/MachineLearningWithPython,NEW,Courses,2024-11-26 07:02:46,260.0,387.0,1.0,2016-04-24 21:20:10,2023-01-27 01:12:06,JerryKurata/MachineLearningWithPython,active,,2021-04-19 01:25:20.750834 Data-Science-Free,https://github.com/frontbenchHQ/Data-Science-Free,NEW,Courses,2024-12-10 15:46:18,304.0,179.0,4.0,2019-02-10 14:29:29,2020-07-13 06:36:25,frontbenchHQ/Data-Science-Free,inactive,,2021-04-19 01:25:20.750834 serverless-ml-course,https://github.com/featurestoreorg/serverless-ml-course,NEW,Courses,2024-12-27 08:39:33,548.0,270.0,8.0,2022-09-01 14:09:52,2024-09-24 20:48:47,featurestoreorg/serverless-ml-course,active,,2022-12-12 02:13:37.362353 stanford-cs229,https://github.com/zyxue/stanford-cs229,NEW,Courses,2022-04-13 12:43:25,0.0,0.0,2.0,2017-10-31 23:01:08,2021-08-04 03:03:28,zyxue/stanford-cs229,active,,2021-04-19 01:25:20.750834 mlcourse,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 python-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 TradingView-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 datasci_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 coursera-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 ML 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,, matrixcalc,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 Basic 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 01:32:23,SeanMcOwen/FinanceAndPython.com-Derivatives,inactive,, GML2023,https://github.com/xbresson/GML2023,NEW,Courses,2024-12-24 22:37:30,592.0,91.0,1.0,2024-02-12 01:05:08,2024-08-27 06:06:36,xbresson/GML2023,active,,2024-03-04 01:54:34.625933 Play-with-Machine-Learning-Algorithms,https://github.com/liuyubobobo/Play-with-Machine-Learning-Algorithms,NEW,Courses,2024-12-22 01:41:38,1264.0,624.0,1.0,2017-10-17 23:13:24,2022-08-22 00:45:23,liuyubobobo/Play-with-Machine-Learning-Algorithms,inactive,,2021-04-19 01:25:20.750834 PythonNumericalDemos,https://github.com/GeostatsGuy/PythonNumericalDemos,NEW,Courses,2024-12-20 16:18:16,1418.0,495.0,1.0,2017-10-13 15:44:06,2024-09-10 22:02:32,GeostatsGuy/PythonNumericalDemos,active,,2021-04-19 01:25:20.750834 datasciencecoursera,https://github.com/mGalarnyk/datasciencecoursera,NEW,Courses,2024-12-23 19:20:41,2236.0,2111.0,8.0,2016-12-27 03:59:24,2021-02-19 04:16:58,mGalarnyk/datasciencecoursera,inactive,,2021-04-19 01:25:20.750834 Basic 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,, ciml,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 365datascience,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 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.",Courses,2024-12-28 17:48:25,13701.0,4300.0,14.0,2018-05-09 12:33:08,2023-03-05 17:14:58,stefan-jansen/machine-learning-for-trading,active,, OptML_course,https://github.com/epfml/OptML_course,NEW,Courses,2024-12-28 05:05:44,1174.0,320.0,16.0,2018-02-21 19:06:55,2024-06-27 19:57:58,epfml/OptML_course,active,,2021-04-19 01:25:20.750834 courses,https://github.com/DataScienceSpecialization/courses,NEW,Courses,2024-12-12 16:01:09,4073.0,31357.0,13.0,2014-01-21 10:22:57,2016-03-16 12:13:44,DataScienceSpecialization/courses,inactive,,2021-04-19 01:25:20.750834 ml-workspace,https://github.com/AdicherlaVenkataSai/ml-workspace,NEW,Courses,2024-12-05 15:18:44,370.0,108.0,1.0,2020-07-10 06:38:10,2021-09-03 07:21:14,AdicherlaVenkataSai/ml-workspace,inactive,,2021-04-19 01:25:20.750834 Algo Trading,https://github.com/JCreeks/Machine-Learning-in-Finance/tree/master/0_Intro_to_Algo_Trading,Intro to algo trading.,Courses,2024-12-17 00:20:08,82.0,29.0,1.0,2017-10-29 20:34:54,2019-01-22 06:56:08,JCreeks/Machine-Learning-in-Finance,inactive,, Artificial-Intelligence-And-Data-Science-Pro,https://github.com/pranavanand24/Artificial-Intelligence-And-Data-Science-Pro,NEW,Courses,2023-07-06 06:58:17,422.0,179.0,1.0,2020-05-12 07:34:21,2023-01-29 11:51:23,pranavanand24/Artificial-Intelligence-And-Data-Science-Pro,active,,2022-06-27 03:05:33.362766 ml-intro,https://github.com/rolling-scopes-school/ml-intro,NEW,Courses,2024-12-11 02:27:19,218.0,357.0,17.0,2020-11-27 14:55:34,2022-06-02 10:13:04,rolling-scopes-school/ml-intro,inactive,,2023-03-06 02:18:30.736831 Developing_Data_Products,https://github.com/DataScienceSpecialization/Developing_Data_Products,NEW,Courses,2024-12-23 11:41:15,235.0,1393.0,1.0,2016-08-25 19:47:39,2017-07-31 15:11:59,DataScienceSpecialization/Developing_Data_Products,inactive,,2021-05-24 02:12:43.928732 Introduction-to-Data-Science-in-python,https://github.com/sidsriv/Introduction-to-Data-Science-in-python,NEW,Courses,2024-12-14 12:56:46,219.0,437.0,1.0,2016-11-01 15:41:24,2017-01-22 10:28:21,sidsriv/Introduction-to-Data-Science-in-python,inactive,,2022-11-21 02:44:34.797328 DataScience,https://github.com/JuliaAcademy/DataScience,NEW,Courses,2024-12-26 18:20:45,506.0,262.0,7.0,2020-05-21 01:26:52,2022-10-01 13:34:26,JuliaAcademy/DataScience,inactive,,2021-04-19 01:25:20.750834 Udemy---Machine-Learning,https://github.com/jmportilla/Udemy---Machine-Learning,NEW,Courses,2024-12-27 20:03:48,237.0,425.0,3.0,2015-04-27 22:44:40,2016-07-06 23:58:33,jmportilla/Udemy---Machine-Learning,inactive,,2021-04-19 01:25:20.750834 julia-ml-course,https://github.com/adrhill/julia-ml-course,NEW,Courses,2024-12-12 08:10:00,243.0,28.0,4.0,2023-04-24 15:17:08,2024-11-19 10:39:49,adrhill/julia-ml-course,active,,2023-10-16 01:43:29.826389 Data-Science-Essentials,https://github.com/MicrosoftLearning/Data-Science-Essentials,NEW,Courses,2024-02-01 11:28:13,210.0,190.0,1.0,2016-05-16 21:42:29,2018-03-01 02:34:46,MicrosoftLearning/Data-Science-Essentials,inactive,,2023-05-22 02:04:25.068110 iNeuron-Full-Stack-Data-Science-Assignments,https://github.com/amanovishnu/iNeuron-Full-Stack-Data-Science-Assignments,NEW,Courses,2024-12-28 01:19:19,271.0,203.0,3.0,2021-05-31 10:46:57,2024-12-25 14:46:44,amanovishnu/ineuron-full-stack-data-science-assignment-collection,active,,2023-12-25 01:45:24.865766 Python-Learning,https://github.com/AmirHosseinBabaeayan/Python-Learning,NEW,Courses,2024-09-19 11:09:43,226.0,17.0,1.0,2021-09-14 15:45:23,2023-09-16 20:43:57,AmirHosseinBabaeayan/Python-Learning,active,,2023-05-29 02:05:33.705270 qmlcourse,https://github.com/quantum-ods/qmlcourse,NEW,Courses,2024-12-24 11:26:46,230.0,31.0,30.0,2021-03-06 04:19:25,2024-07-07 23:51:37,quantum-ods/qmlcourse,active,,2023-08-21 01:37:53.998576 machine-learning-andrew-ng,https://github.com/susilvaalmeida/machine-learning-andrew-ng,NEW,Courses,2024-12-24 11:33:44,305.0,145.0,1.0,2019-03-15 23:51:58,2020-05-30 23:46:44,susilvaalmeida/machine-learning-andrew-ng,inactive,,2024-03-25 01:41:33.663273 machine-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 2014,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 machine-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 Basic 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 04:04:09,FinanceAndPython/FinanceAndPython.com-BasicFinance,inactive,, Online-Courses-Learning,https://github.com/MrinmoiHossain/Online-Courses-Learning,NEW,Courses,2024-12-22 19:41:57,395.0,481.0,1.0,2018-08-12 18:52:29,2019-07-14 21:07:56,MrinmoiHossain/Online-Courses-Learning,inactive,,2021-06-21 01:58:47.497649 python_ka_chilla2023,https://github.com/AammarTufail/python_ka_chilla2023,NEW,Courses,2024-12-27 13:55:12,720.0,476.0,1.0,2022-12-29 21:05:56,2023-02-21 22:22:08,AammarTufail/python_ka_chilla2023,active,,2023-03-20 02:09:09.569721 MLOps-Specialization-Notes,https://github.com/kennethleungty/MLOps-Specialization-Notes,NEW,Courses,2024-12-27 14:09:24,352.0,153.0,1.0,2021-07-11 14:20:24,2023-05-17 16:28:29,kennethleungty/MLOps-Specialization-Notes,active,,2023-02-06 02:07:18.263162 awesome-full-stack-machine-courses,https://github.com/leehanchung/awesome-full-stack-machine-courses,NEW,Courses,2024-12-21 15:08:52,440.0,98.0,2.0,2019-10-31 19:26:14,2023-09-02 01:23:09,leehanchung/awesome-full-stack-machine-learning-courses,active,,2022-11-14 02:50:14.154818 python_data_science_and_machine_learning_bootcamp,https://github.com/ccniuj/python_data_science_and_machine_learning_bootcamp,NEW,Courses,2024-11-07 01:49:02,217.0,329.0,1.0,2017-01-15 12:05:12,2017-01-15 12:20:06,ccniuj/python_data_science_and_machine_learning_bootcamp,inactive,,2022-11-21 02:44:34.797328 ml-course-msu,https://github.com/esokolov/ml-course-msu,NEW,Courses,2024-12-21 21:01:58,879.0,316.0,1.0,2015-09-11 08:51:24,2018-05-07 15:40:56,esokolov/ml-course-msu,inactive,,2021-04-19 01:25:20.750834 Artificial-Intelligence-and-Machine-Learning,https://github.com/emilmont/Artificial-Intelligence-and-Machine-Learning,NEW,Courses,2024-12-27 12:51:08,547.0,308.0,1.0,2011-10-16 22:51:06,2013-07-20 18:21:51,emilmont/Artificial-Intelligence-and-Machine-Learning,inactive,,2021-04-19 01:25:20.750834 machine-learning-zoomcamp,https://github.com/DataTalksClub/machine-learning-zoomcamp,NEW,Courses,2024-12-28 22:31:58,9755.0,2305.0,109.0,2020-04-17 04:29:23,2024-12-18 17:12:32,DataTalksClub/machine-learning-zoomcamp,active,,2023-08-07 01:56:08.844546 ML-YouTube-Courses,https://github.com/dair-ai/ML-YouTube-Courses,NEW,Courses,2024-12-28 20:14:58,16106.0,1924.0,16.0,2021-06-25 09:39:16,2024-01-22 15:52:28,dair-ai/ML-YouTube-Courses,active,,2021-06-28 01:48:33.633779 zero-to-mastery-ml,https://github.com/mrdbourke/zero-to-mastery-ml,NEW,Courses,2024-12-28 13:02:51,3022.0,3463.0,25.0,2019-09-23 04:56:51,2024-10-30 03:29:55,mrdbourke/zero-to-mastery-ml,active,,2021-04-19 01:25:20.750834 cornell-cs5785-applied-ml,https://github.com/kuleshov/cornell-cs5785-applied-ml,NEW,Courses,2024-12-28 18:54:12,1094.0,265.0,1.0,2021-03-26 06:33:58,2021-09-02 00:34:55,kuleshov/cornell-cs5785-2020-applied-ml,inactive,,2021-07-05 01:46:13.555262 amazon-sagemaker-architecting-for-ml,https://github.com/aws-samples/amazon-sagemaker-architecting-for-ml,NEW,Courses,2024-11-29 03:25:59,201.0,194.0,4.0,2018-12-20 21:53:20,2020-08-12 22:24:32,aws-samples/amazon-sagemaker-architecting-for-ml,inactive,,2024-09-16 01:28:30.911854 DataScienceSpCourseNotes,https://github.com/sux13/DataScienceSpCourseNotes,NEW,Courses,2024-12-09 04:04:13,766.0,2385.0,10.0,2015-03-09 00:51:32,2016-02-16 06:12:54,sux13/DataScienceSpCourseNotes,inactive,,2021-04-19 01:25:20.750834 kaggle-courses,https://github.com/drakearch/kaggle-courses,NEW,Courses,2024-12-20 22:43:19,201.0,63.0,1.0,2019-09-05 01:29:45,2022-04-10 23:55:12,drakearch/kaggle-courses,inactive,,2024-12-16 01:29:06.256571 msds621,https://github.com/parrt/msds621,NEW,Courses,2024-11-24 00:08:00,350.0,172.0,2.0,2019-07-01 18:21:25,2021-12-07 19:51:49,parrt/msds621,inactive,,2021-11-08 01:46:47.035690 machine_learning_with_python_jadi,https://github.com/jadijadi/machine_learning_with_python_jadi,NEW,Courses,2024-12-28 10:44:40,848.0,366.0,3.0,2021-09-20 08:19:48,2024-08-16 05:12:53,jadijadi/machine_learning_with_python_jadi,active,,2022-07-25 03:07:03.785161 mlsec,https://github.com/unica-mlsec/mlsec,NEW,Courses,2024-12-26 06:08:55,203.0,23.0,4.0,2021-09-06 08:35:29,2024-12-17 14:03:11,unica-mlsec/mlsec,active,,2024-12-09 01:29:00.283334 machine-learning-resources,https://github.com/datascienceid/machine-learning-resources,NEW,Courses,2024-12-27 10:32:24,407.0,124.0,4.0,2018-04-09 15:10:08,2019-07-30 14:25:27,datascienceid/machine-learning-resources,inactive,,2021-04-19 01:25:20.750834 dive-into-machine-learning,https://github.com/hangtwenty/dive-into-machine-learning,NEW,Courses,2024-12-28 22:03:25,11289.0,1915.0,32.0,2015-02-22 23:48:16,2022-06-17 23:22:08,dive-into-machine-learning/dive-into-machine-learning,inactive,,2021-04-19 01:25:20.750834 dtu_mlops,https://github.com/SkafteNicki/dtu_mlops,NEW,Courses,2024-12-28 09:43:07,604.0,448.0,153.0,2021-04-07 09:27:30,2024-12-23 14:02:05,SkafteNicki/dtu_mlops,active,,2022-10-24 03:45:11.867353 Core-Machine-Learning-Course,https://github.com/ayush714/Core-Machine-Learning-Course,NEW,Courses,2024-12-28 14:18:52,230.0,74.0,1.0,2023-04-12 03:09:33,2023-04-12 03:50:57,ayush714/Core-Machine-Learning-Course,active,,2024-05-13 01:26:06.200432 ai-developer-resources,https://github.com/duncantmiller/ai-developer-resources,NEW,Courses,2024-12-28 14:14:33,448.0,31.0,1.0,2023-12-04 17:31:24,2024-11-21 20:39:56,duncantmiller/ai-developer-resources,active,,2024-07-15 01:27:49.273205 ML_Process_Course,https://github.com/PlayingNumbers/ML_Process_Course,NEW,Courses,2024-12-22 16:18:51,434.0,165.0,2.0,2022-06-30 22:04:48,2023-06-21 18:39:45,PlayingNumbers/ML_Process_Course,active,,2023-08-28 01:40:19.002556 Machine-Learning-by-Andrew-Ng-in-Python,https://github.com/Benlau93/Machine-Learning-by-Andrew-Ng-in-Python,NEW,Courses,2024-12-03 20:02:23,309.0,240.0,1.0,2018-12-06 02:20:59,2019-01-11 04:24:52,Benlau93/Machine-Learning-by-Andrew-Ng-in-Python,inactive,,2021-04-19 01:25:20.750834 AdvancedML,https://github.com/sjhwang82/AdvancedML,NEW,Courses,2024-11-25 08:45:22,368.0,71.0,1.0,2019-02-22 09:15:04,2022-11-25 10:53:47,sjhwang82/AdvancedML,inactive,,2021-11-08 01:46:47.035690 Octave,https://github.com/schneems/Octave,NEW,Courses,2024-12-11 17:15:53,822.0,506.0,1.0,2011-10-24 23:50:52,2016-07-08 20:45:40,schneems/Octave,inactive,,2021-04-19 01:25:20.750834 cs229-2018-autumn,https://github.com/maxim5/cs229-2018-autumn,NEW,Courses,2024-12-28 14:28:48,1989.0,830.0,4.0,2021-02-08 14:39:48,2024-10-05 06:18:59,maxim5/cs229-2018-autumn,active,,2021-11-08 01:46:47.035690 stat479-machine-learning-fs18,https://github.com/rasbt/stat479-machine-learning-fs18,NEW,Courses,2024-11-19 22:55:32,492.0,228.0,1.0,2018-09-06 00:30:56,2018-12-20 23:45:13,rasbt/stat479-machine-learning-fs18,inactive,,2021-04-19 01:25:20.750834 course-resources-ml-with-experts-budgets,https://github.com/datacamp/course-resources-ml-with-experts-budgets,NEW,Courses,2024-12-27 19:44:51,559.0,632.0,2.0,2017-03-02 13:10:27,2017-12-14 20:46:54,datacamp/course-resources-ml-with-experts-budgets,inactive,,2021-04-19 01:25:20.750834 DataScienceCourse,https://github.com/briandalessandro/DataScienceCourse,NEW,Courses,2024-11-23 09:27:10,754.0,797.0,13.0,2014-10-01 08:45:51,2020-12-20 13:03:56,briandalessandro/DataScienceCourse,inactive,,2021-04-19 01:25:20.750834 mlbookcamp-code,https://github.com/alexeygrigorev/mlbookcamp-code,NEW,Courses,2024-12-24 07:47:34,301.0,98.0,63.0,2023-08-01 14:02:25,2024-09-15 09:54:55,alexeygrigorev/mlbookcamp-code,active,,2021-11-08 01:46:47.035690 Introduction_to_Machine_Learning,https://github.com/SharifiZarchi/Introduction_to_Machine_Learning,NEW,Courses,2024-12-29 00:33:01,1487.0,270.0,69.0,2022-09-01 19:10:26,2024-12-29 00:32:57,SharifiZarchi/Introduction_to_Machine_Learning,active,,2024-10-07 01:28:57.880632 umich-eecs545-lectures,https://github.com/thejakeyboy/umich-eecs545-lectures,NEW,Courses,2024-12-12 20:31:22,219.0,169.0,11.0,2016-01-24 18:46:16,2016-08-29 20:34:54,thejakeyboy/umich-eecs545-lectures,inactive,,2022-08-22 03:14:57.589130 Computational-Social-Science-Training-Program,https://github.com/dlab-berkeley/Computational-Social-Science-Training-Program,NEW,Courses,2024-12-20 17:03:41,225.0,96.0,8.0,2020-07-14 00:53:09,2024-12-05 20:59:34,dlab-berkeley/Computational-Social-Science-Training-Program,active,,2024-09-09 01:28:13.392459 DAT3,https://github.com/justmarkham/DAT3,NEW,Courses,2024-12-06 06:40:51,662.0,377.0,4.0,2014-09-18 20:30:19,2020-05-19 09:21:02,justmarkham/DAT3,inactive,,2021-04-19 01:25:20.750834 JSE_OkCupid,https://github.com/rudeboybert/JSE_OkCupid,NEW,Courses,2024-12-02 22:04:42,237.0,69.0,1.0,2015-03-28 08:38:27,2021-04-26 18:35:26,rudeboybert/JSE_OkCupid,inactive,,2021-04-19 01:25:20.750834 machine-learning-programming-assignments-coursera-andrew-ng,https://github.com/AvaisP/machine-learning-programming-assignments-coursera-andrew-ng,NEW,Courses,2024-12-11 00:41:23,388.0,323.0,1.0,2016-08-20 18:05:22,2016-09-05 19:14:41,AvaisP/machine-learning-programming-assignments-coursera-andrew-ng,inactive,,2021-04-19 01:25:20.750834 CourseraML,https://github.com/kaleko/CourseraML,NEW,Courses,2024-12-26 03:14:09,2029.0,790.0,0.0,2015-12-08 00:03:22,2018-10-30 23:49:56,kaleko/CourseraML,inactive,,2021-04-19 01:25:20.750834 Coursera-Stanford-ML-Python,https://github.com/mstampfer/Coursera-Stanford-ML-Python,NEW,Courses,2024-12-26 03:14:53,446.0,231.0,3.0,2015-10-28 19:51:00,2016-09-02 00:21:30,mstampfer/Coursera-Stanford-ML-Python,inactive,,2021-04-19 01:25:20.750834 MachineLearning6.867,https://github.com/peteflorence/MachineLearning6.867,NEW,Courses,2024-12-27 02:58:04,287.0,116.0,1.0,2015-09-08 16:25:19,2015-10-20 15:43:40,peteflorence/MachineLearning6.867,inactive,,2024-06-03 01:27:15.620433 tensorflow-without-a-phd,https://github.com/GoogleCloudPlatform/tensorflow-without-a-phd,NEW,Courses,2024-12-28 17:22:51,2802.0,912.0,11.0,2018-05-09 18:33:40,2020-06-03 21:08:32,GoogleCloudPlatform/tensorflow-without-a-phd,inactive,,2021-04-19 01:25:20.750834 stanford-CS229,https://github.com/ccombier/stanford-CS229,NEW,Courses,2023-10-09 08:54:50,380.0,181.0,1.0,2018-07-30 20:19:32,2018-09-10 19:03:06,ccombier/stanford-CS229,inactive,,2021-11-08 01:46:47.035690 ppd599,https://github.com/gboeing/ppd599,NEW,Courses,2024-12-06 22:45:55,1272.0,487.0,2.0,2015-09-01 19:59:59,2024-10-07 23:13:14,gboeing/ppde642,active,,2021-04-19 01:25:20.750834 china-dictatorhsip-7,https://github.com/cirosantilli/china-dictatorhsip-7,NEW,Courses,2024-12-25 14:56:45,225.0,26.0,5.0,2021-08-18 08:11:03,2022-08-03 17:01:25,cirosantilli/china-dictatorhsip-7,inactive,,2024-10-28 01:28:40.522680 Handson Python for Finance,https://github.com/PacktPublishing/Hands-on-Python-for-Finance,Hands-on Python for Finance published by Packt.,Courses,2024-12-25 00:25:58,312.0,172.0,4.0,2018-08-20 14:10:37,2023-01-30 09:07:24,PacktPublishing/Hands-on-Python-for-Finance,active,, deploying-machine-learning-models,https://github.com/trainindata/deploying-machine-learning-models,NEW,Courses,2024-12-26 06:34:57,807.0,7866.0,3.0,2019-01-09 20:30:46,2023-04-19 17:15:38,trainindata/deploying-machine-learning-models,active,,2021-04-19 01:25:20.750834 AmazonSageMakerCourse,https://github.com/ChandraLingam/AmazonSageMakerCourse,NEW,Courses,2024-11-19 23:14:57,227.0,393.0,1.0,2019-04-02 16:31:20,2024-05-30 04:54:39,ChandraLingam/AmazonSageMakerCourse,active,,2023-06-19 02:09:18.002932 master,https://github.com/ML-course/master,NEW,Courses,2024-12-25 20:52:00,813.0,322.0,3.0,2017-02-04 22:44:35,2024-04-01 10:09:20,ML-course/master,active,,2021-04-19 01:25:20.750834 ML_course,https://github.com/epfml/ML_course,NEW,Courses,2024-12-25 20:41:16,1272.0,916.0,25.0,2016-07-13 15:37:38,2024-12-10 12:57:35,epfml/ML_course,active,,2021-04-19 01:25:20.750834 Intro,https://github.com/rstudio/Intro,NEW,Courses,2024-10-02 16:48:06,236.0,315.0,1.0,2014-11-11 20:45:33,2014-11-12 13:42:32,rstudio/Intro,inactive,,2021-04-19 01:25:20.750834 Machine-Learning-AndrewNg-DeepLearning.AI,https://github.com/azminewasi/Machine-Learning-AndrewNg-DeepLearning.AI,NEW,Courses,2024-12-23 15:45:34,251.0,158.0,1.0,2022-07-24 11:14:14,2023-06-11 06:21:18,azminewasi/Machine-Learning-AndrewNg-DeepLearning.AI,active,,2024-08-05 01:28:10.525794 datacamp,https://github.com/ozlerhakan/datacamp,NEW,Courses,2024-12-27 06:00:01,351.0,184.0,1.0,2018-07-20 09:19:43,2024-04-21 08:17:00,ozlerhakan/datacamp,active,,2023-01-09 02:08:12.110320 feature-selection-for-machine-learning,https://github.com/solegalli/feature-selection-for-machine-learning,NEW,Courses,2024-12-27 11:59:58,306.0,338.0,2.0,2020-01-08 17:08:12,2024-10-31 10:00:54,solegalli/feature-selection-for-machine-learning,active,,2023-04-10 01:54:51.907404 supervised-ML-case-studies-course,https://github.com/juliasilge/supervised-ML-case-studies-course,NEW,Courses,2024-12-17 15:42:07,224.0,76.0,8.0,2019-06-01 21:32:47,2021-08-22 23:19:32,juliasilge/supervised-ML-case-studies-course,inactive,,2022-08-22 03:14:57.589130 MonteCarloMethodsInFinance,https://github.com/olafSmits/MonteCarloMethodsInFinance,NEW,Courses,2024-12-06 14:05:57,213.0,117.0,2.0,2014-01-21 14:38:39,2014-04-21 19:43:21,olafSmits/MonteCarloMethodsInFinance,inactive,,2023-09-11 01:41:18.728613 creative_ml,https://github.com/acids-ircam/creative_ml,NEW,Courses,2024-12-16 16:09:36,218.0,92.0,1.0,2023-03-16 07:08:54,2024-07-11 13:24:13,acids-ircam/creative_ml,active,,2024-04-15 03:46:35.152847 DP100,https://github.com/MicrosoftLearning/DP100,NEW,Courses,2024-02-11 09:46:19,635.0,702.0,2.0,2020-01-06 20:38:41,2020-12-30 17:22:42,MicrosoftLearning/DP100,inactive,,2021-04-19 01:25:20.750834 Python for Finance,https://github.com/siaen/python_finance_course,CEU python for finance course material.,Courses,2024-02-14 14:08:00,21.0,16.0,4.0,2017-12-12 11:54:46,2020-02-25 20:31:41,siaen/python_finance_course,inactive,, coursera-machine-learning-engineering-for-prod-mlops-specialization,https://github.com/amanchadha/coursera-machine-learning-engineering-for-prod-mlops-specialization,NEW,Courses,2024-12-20 15:37:54,444.0,290.0,4.0,2021-06-22 04:46:37,2023-06-30 05:03:32,amanchadha/coursera-machine-learning-engineering-for-prod-mlops-specialization,active,,2023-03-27 01:59:09.824478 ML_RiskManagement,https://github.com/albahnsen/ML_RiskManagement,NEW,Courses,2024-12-21 11:53:00,242.0,104.0,2.0,2016-05-16 19:37:52,2018-02-08 21:05:21,albahnsen/ML_RiskManagement,inactive,,2023-07-24 02:01:31.398621 Machine_Learning_2018,https://github.com/snrazavi/Machine_Learning_2018,NEW,Courses,2024-11-26 13:29:22,210.0,105.0,1.0,2018-10-16 10:16:35,2021-09-16 14:14:05,snrazavi/Machine_Learning_2018,inactive,,2024-03-18 01:39:42.292679 causalML,https://github.com/altdeep/causalML,NEW,Courses,2024-12-26 08:08:09,741.0,199.0,50.0,2018-12-17 05:22:47,2024-07-28 18:22:15,altdeep/causalML,active,,2021-04-19 01:25:20.750834 R-Fundamentals,https://github.com/dlab-berkeley/R-Fundamentals,NEW,Data,2024-12-28 22:59:42,35.0,10.0,2.0,2023-01-31 16:47:29,2024-10-31 20:30:18,dlab-berkeley/R-Fundamentals,active,,2021-12-07 01:56:42.666013 jqdatasdk,https://github.com/JoinQuant/jqdatasdk,NEW,Data,2024-12-27 02:57:47,950.0,163.0,10.0,2017-11-29 08:39:45,2024-12-18 09:55:42,JoinQuant/jqdatasdk,active,,2021-11-09 01:47:51.283394 Data-Augmentation-For-Wearable-Sensor-Data,https://github.com/terryum/Data-Augmentation-For-Wearable-Sensor-Data,NEW,Data,2024-12-24 03:02:32,396.0,78.0,1.0,2017-08-22 19:51:54,2018-06-11 05:02:05,terryum/Data-Augmentation-For-Wearable-Sensor-Data,inactive,,2021-11-09 01:47:51.283394 common-domain-model,https://github.com/finos/common-domain-model,NEW,Data,2024-12-24 04:23:30,144.0,68.0,56.0,2018-02-08 11:42:16,2024-12-20 15:46:02,finos/common-domain-model,active,,2024-05-21 01:26:53.440657 open-crypto,https://github.com/vapor/open-crypto,NEW,Data,2024-05-21 03:09:01,134.0,33.0,16.0,2016-08-05 22:00:21,2020-07-13 23:43:44,vapor/open-crypto,inactive,,2021-11-09 01:47:51.283394 Financial-Statement-Data-Analysis,https://github.com/1qweasdzxc/Financial-Statement-Data-Analysis,NEW,Data,2024-12-01 16:11:58,218.0,87.0,1.0,2018-03-25 09:19:51,2018-05-31 01:10:23,1qweasdzxc/Financial-Statement-Data-Analysis,inactive,,2022-06-07 02:47:29.417179 twitter-sentiment-visualisation,https://github.com/Lissy93/twitter-sentiment-visualisation,NEW,Data,2024-11-08 12:13:35,211.0,67.0,5.0,2015-07-24 09:25:24,2023-11-04 11:58:40,Lissy93/twitter-sentiment-visualisation,active,,2021-11-09 01:47:51.283394 FOTOSPLOIT-,https://github.com/Juanhacker051/FOTOSPLOIT-,NEW,Data,2024-12-24 06:08:36,334.0,28.0,1.0,2020-07-12 23:02:30,2020-07-12 23:02:31,Juanhacker051/FOTOSPLOIT-,inactive,,2022-03-01 02:10:06.535299 .config,https://github.com/zszszszsz/.config,NEW,Data,2024-12-28 14:44:44,228.0,70.0,1.0,2020-06-23 17:51:35,2020-06-23 17:51:37,zszszszsz/.config,inactive,,2023-07-18 02:29:25.313762 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,Data,2024-12-16 03:27:34,121.0,34.0,1.0,2018-10-10 12:00:44,2022-12-02 03:24:23,ZhouYuxuanYX/Unsupervised-Deep-Learning-Framework-for-Anomaly-Detection-in-Time-Series-,inactive,,2023-06-13 02:10:49.173973 awesome-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 FRB,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 ScraXBRL,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 binance-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 arbitragerepair,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 Python-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 SwiftDataTables,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 cryptonice,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 RedisTimeSeries,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 SFA,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 Indicators,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 java-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 Time-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 deep-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 GAN-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 CryptoApp,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 SDV,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 middle-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 Curve,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 autogluon,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 time-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 hanzo.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 community-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 IRS,http://social-metrics.org/sox/,,Data,,,,,,,,,, good-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 Python-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 moonstream,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 public-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 tslearn,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 Cryptocurrency-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 kairos,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 DataFrame,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 candlestick_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 luminaire,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 Awesome_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 msda,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 Financial-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 financial_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 AdaTime,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 Web 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,, financial-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 ethereum-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 Clymene,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 Schedulis,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 LSTM-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 Valet,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 rollup,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 cryptostore,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 fxl,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 labelImg,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 Stocks-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 cryptoCMD,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 cryptoexchange,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 openvdb,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 Satellite-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 wotan,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 blueflood,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 tsod,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 OpenOA,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 financial_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 spacetime-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 coinpare,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 scrapy-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 Auto_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 Python-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 AutoMunge,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 mcprotocol,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 AmortizedCausalDiscovery,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 i2p.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 beringei,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 motion-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 temporian,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 DeepSense,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 fibo,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 Awesome-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 nixtla,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 oreilly_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 hadoop-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 finnhub-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 py-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 trainset,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 simfin,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 java-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 stocklook,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 calmap,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 machinelearning4finance,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 Deedle,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 Crypto-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 tiingo-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 timeseriescv,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 crypto,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 anomalyzer,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 prophet,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 Gekko-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 EDGAR,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,, DoppelGANger,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 calplot,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 EdgarRenderer,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 FinNLP,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 openHistorian,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 adata,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 tigramite,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 FXModelValidation,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 https://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,, roll,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 sankee,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 Neural-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 DeepEcho,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 covid-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 armadillo,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 Aiops-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 tardis-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 FinancialDatasets,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 owler-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 coinmarketcap-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 redesigned-pancake,https://github.com/Sfedfcv/redesigned-pancake,NEW,Data,,,,,,,Sfedfcv/redesigned-pancake,,,2024-07-02 01:30:08.047945 MarketData.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 SwiftUI-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 Get-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 Spreads,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 traja,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 Forecasting-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 angular-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 lepto,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 Aethir,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 fushare,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 rrd4j,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 investment_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 automobile-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 etoolbox-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 Stock-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 FNSPID_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 egads,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 osgeo,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 sec-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 timeseries_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 Gnip-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 SEC 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,, questdb,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 SAITS,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 TSDB,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 Superalgos,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 binjr,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 jquery-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 coingraph,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 Australian-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 tsfile,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 api,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 Expert-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 sec-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 STLDecompose,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 change-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 FinMind,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 Thief-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 multivariate-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 Phinch,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 reductstore,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 DP-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 Open-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 tardis-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 cryptogalaxy,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 highfrequency,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 automating-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 binance-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 Sentiment-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 aeon,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 cryptographic-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 Kats,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 controllers,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 Open 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,, Zenroom,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 cal-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 sec-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 aaltd18,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 sjvisualizer,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 vpselector,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 6S191_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 jquery-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 blockhead,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 financial-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 TimeChart,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 quokka,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 finance-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 ultrafinance,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 nyctaxi,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 RGAN,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 FinancialDataAnalysisWithPython,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 alpha_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 tradekit,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 timeseries-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 LSTM_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 stockdex,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 awesome-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 finnts,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 dbg-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 FinQA,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 arctic,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 Data-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 PIXIU,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 py-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 piecewise,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 web-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 Employee 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,, mplfinance,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 edgar,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 miditime,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 sec-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 awesome-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 https://stooq.com,https://stooq.com,,Data,,,,,,,,,, Fetching-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 AI-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 azuredatastudio,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 tradingview-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 BitcoinExchangeFH,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 wxee,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 simfin-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 acra,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 Awesome-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 CoinTrend,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 CoinWatch,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 time-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 On-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 streamlit_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 laravel-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 facette,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 python-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 paradigm-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 downsampling-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 pynance,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 WeDataSphere,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 kcov,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 Deep-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 FinRL-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 ciphr,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 django-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 http://finance.yahoo.com/,http://finance.yahoo.com/,,Data,,,,,,,,,, EconomicTracker,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 StreamAD,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 Rating Industries,http://www.ratingshistory.info/,,Data,,,,,,,,,, deeptime,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 finances-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 Stocksera,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 fili,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 PyPOTS,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 InteractiveVis,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 Non-financial Corporate,http://raw.rutgers.edu/Non-Financial%20Corporate%20Data.html,,Data,,,,,,,,,, fhe-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 pysec,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 springMvcPlusMongo,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 kerf1,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 TAcharts,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 SKAB,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 PIXIU,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 qf-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 coinbash,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 jquery-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 sec-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 telemanom,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 pystore,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 crypto_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 pump-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 Visualis,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 griddb,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 tsgm,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 FlashDB,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 finance-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 EarningsCall_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 angular-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 PyRate,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 risingwave,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 MAD-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 EEG-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 chart-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 EDGAR,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 full_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 funda-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 DataFX,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 ACT,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 trendet,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 01:47:51.283394 resnet1d,https://github.com/hsd1503/resnet1d,NEW,Data,2024-12-24 23:00:47,444.0,99.0,2.0,2019-10-27 01:15:48,2022-02-07 12:35:59,hsd1503/resnet1d,inactive,,2021-11-09 01:47:51.283394 matrixprofile,https://github.com/matrix-profile-foundation/matrixprofile,NEW,Data,2024-12-25 16:06:58,363.0,62.0,17.0,2019-07-22 00:33:37,2022-11-25 13:40:05,matrix-profile-foundation/matrixprofile,inactive,,2021-11-09 01:47:51.283394 marketstore,https://github.com/alpacahq/marketstore,NEW,Data,2024-12-26 15:16:44,1895.0,234.0,26.0,2018-01-07 07:27:25,2022-11-07 01:51:10,alpacahq/marketstore,inactive,,2021-11-09 01:47:51.283394 getml-community,https://github.com/getml/getml-community,NEW,Data,2024-12-26 15:08:18,105.0,10.0,8.0,2022-08-10 21:46:24,2024-10-04 17:21:37,getml/getml-community,active,,2024-11-12 01:31:31.650810 FinShark,https://github.com/teddysmithdev/FinShark,NEW,Data,2024-12-27 08:31:35,225.0,139.0,1.0,2023-08-14 14:17:47,2024-02-18 18:37:14,teddysmithdev/FinShark,active,,2024-06-18 01:29:42.523835 finagg,https://github.com/theOGognf/finagg,NEW,Data,2024-12-24 19:33:57,444.0,22.0,1.0,2022-09-25 15:11:34,2024-08-11 00:17:35,theOGognf/finagg,active,,2023-04-11 01:58:31.017379 generalized-kmeans-clustering,https://github.com/derrickburns/generalized-kmeans-clustering,NEW,Data,2024-12-27 13:03:11,300.0,50.0,4.0,2014-09-03 18:55:00,2024-01-19 03:22:22,derrickburns/generalized-kmeans-clustering,active,,2024-01-23 01:54:46.559911 TDengine,https://github.com/taosdata/TDengine,NEW,Data,2024-12-28 08:19:45,23485.0,4877.0,206.0,2019-07-11 08:33:48,2024-12-28 08:19:40,taosdata/TDengine,active,,2022-03-01 02:10:06.535299 Awesome-TimeSeries-AIOps-LM-LLM,https://github.com/qingsongedu/Awesome-TimeSeries-AIOps-LM-LLM,NEW,Data,2024-12-28 11:38:13,949.0,70.0,6.0,2023-06-10 00:45:54,2024-12-22 08:19:51,qingsongedu/Awesome-TimeSeries-SpatioTemporal-LM-LLM,active,,2023-09-05 01:39:39.878529 TabFormer,https://github.com/IBM/TabFormer,NEW,Data,2024-12-23 14:04:57,330.0,84.0,5.0,2020-10-20 17:20:36,2022-02-03 17:24:01,IBM/TabFormer,inactive,,2021-11-09 01:47:51.283394 ydata-synthetic,https://github.com/ydataai/ydata-synthetic,NEW,Data,2024-12-26 05:20:21,1468.0,244.0,21.0,2020-05-04 15:52:03,2024-12-10 00:37:02,ydataai/ydata-synthetic,active,,2023-03-07 02:26:24.039684 openmicroscopy,https://github.com/ome/openmicroscopy,NEW,Data,2024-11-29 14:24:44,202.0,101.0,43.0,2011-08-18 14:26:02,2024-11-21 08:23:24,ome/openmicroscopy,active,,2021-11-09 01:47:51.283394 kapacitor,https://github.com/influxdata/kapacitor,NEW,Data,2024-12-19 16:26:38,2323.0,491.0,109.0,2015-08-31 14:54:42,2024-12-12 21:10:45,influxdata/kapacitor,active,,2021-11-09 01:47:51.283394 oreilly_sql_fundamentals_for_data,https://github.com/thomasnield/oreilly_sql_fundamentals_for_data,NEW,Data,2024-11-05 01:45:02,175.0,123.0,2.0,2017-06-03 17:43:53,2024-10-07 14:55:47,thomasnield/oreilly_sql_fundamentals_for_data,active,,2021-11-09 01:47:51.283394 Disable-Firefox-Telemetry-and-Data-Collection,https://github.com/K3V1991/Disable-Firefox-Telemetry-and-Data-Collection,NEW,Data,2024-12-26 16:27:16,301.0,16.0,1.0,2022-07-25 10:07:41,2024-04-12 22:41:49,K3V1991/Disable-Firefox-Telemetry-and-Data-Collection,active,,2023-10-10 01:42:11.508517 zohmg,https://github.com/zohmg/zohmg,NEW,Data,2024-07-25 15:07:27,174.0,11.0,3.0,2009-06-01 15:35:35,2012-10-16 15:13:14,zohmg/zohmg,inactive,,2021-11-09 01:47:51.283394 Financial Corporate,http://raw.rutgers.edu/Corporate%20Financial%20Data.html,,Data,,,,,,,,,, dukascopy-node,https://github.com/Leo4815162342/dukascopy-node,NEW,Data,2024-12-28 16:27:23,390.0,69.0,3.0,2019-06-08 21:48:42,2024-11-28 12:44:46,Leo4815162342/dukascopy-node,active,,2022-08-16 03:10:26.448957 edgartools,https://github.com/dgunning/edgartools,NEW,Data,2024-12-27 23:43:34,573.0,112.0,10.0,2022-12-24 17:07:26,2024-12-25 19:44:09,dgunning/edgartools,active,,2024-01-30 01:40:07.534460 qlib-server,https://github.com/microsoft/qlib-server,NEW,Data,2024-12-26 16:39:30,244.0,70.0,7.0,2020-09-02 10:11:49,2022-07-08 02:15:09,microsoft/qlib-server,inactive,,2021-11-09 01:47:51.283394 tstables,https://github.com/afiedler/tstables,NEW,Data,2024-04-19 02:21:30,195.0,61.0,2.0,2014-05-13 13:59:23,2015-10-10 17:37:47,afiedler/tstables,inactive,,2021-11-09 01:47:51.283394 OpenCamera-Sensors,https://github.com/MobileRoboticsSkoltech/OpenCamera-Sensors,NEW,Data,2024-12-25 05:25:45,181.0,20.0,14.0,2020-09-14 17:02:01,2022-08-22 16:21:52,MobileRoboticsSkoltech/OpenCamera-Sensors,inactive,,2023-06-06 02:23:59.483338 https://fred.stlouisfed.org/,https://fred.stlouisfed.org/,,Data,,,,,,,,,, readabs,https://github.com/MattCowgill/readabs,NEW,Data,2024-12-21 15:36:20,104.0,23.0,10.0,2018-04-03 00:28:46,2024-11-16 03:24:26,MattCowgill/readabs,active,,2024-09-03 01:30:11.307621 lfai-landscape,https://github.com/lfai/lfai-landscape,NEW,Data,2024-12-19 04:29:55,331.0,111.0,118.0,2018-11-26 04:46:46,2024-12-19 04:29:51,lfai/lfai-landscape,active,,2021-11-09 01:47:51.283394 pystock-crawler,https://github.com/eliangcs/pystock-crawler,NEW,Data,2024-12-01 12:37:56,310.0,99.0,1.0,2013-08-31 14:10:02,2014-10-19 08:09:57,eliangcs/pystock-crawler,inactive,,2021-11-09 01:47:51.283394 crypto-notebooks,https://github.com/soulmachine/crypto-notebooks,NEW,Data,2024-12-04 10:19:10,101.0,35.0,1.0,2020-06-14 11:46:04,2020-10-12 14:29:22,soulmachine/crypto-notebooks,inactive,,2024-12-03 01:31:06.889964 pandas-finance,https://github.com/davidastephens/pandas-finance,NEW,Data,2024-12-08 13:10:04,152.0,18.0,2.0,2015-11-22 22:06:03,2023-07-04 20:06:51,davidastephens/pandas-finance,active,,2021-11-09 01:47:51.283394 astsa,https://github.com/nickpoison/astsa,NEW,Data,2024-12-27 23:49:17,123.0,47.0,2.0,2016-11-25 17:43:41,2024-12-27 23:49:06,nickpoison/astsa,active,,2023-04-25 02:00:28.880716 fixofx,https://github.com/wesabe/fixofx,NEW,Data,2024-10-04 14:18:33,101.0,37.0,4.0,2010-07-23 19:25:03,2011-01-01 03:58:04,wesabe/fixofx,inactive,,2024-01-09 01:50:21.564819 investpy,https://github.com/alvarobartt/investpy,NEW,Data,2024-12-27 07:45:03,1679.0,382.0,13.0,2018-11-27 14:51:47,2022-10-02 09:44:04,alvarobartt/investpy,inactive,,2021-11-09 01:47:51.283394 covid-notebooks,https://github.com/CODAIT/covid-notebooks,NEW,Data,2024-12-23 11:47:39,106.0,38.0,6.0,2020-04-22 16:36:35,2022-02-24 19:03:18,CODAIT/covid-notebooks,inactive,,2022-09-13 03:38:52.626944 TAcharts,https://github.com/carlfarterson/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,,2021-11-09 01:47:51.283394 cryo,https://github.com/paradigmxyz/cryo,NEW,Data,2024-12-27 08:32:10,1241.0,119.0,26.0,2023-06-27 00:11:53,2024-11-24 14:12:59,paradigmxyz/cryo,active,,2023-07-11 02:18:07.537967 functime,https://github.com/neocortexdb/functime,NEW,Data,2024-12-27 00:43:27,1059.0,59.0,15.0,2023-06-05 23:38:27,2024-06-15 14:05:00,functime-org/functime,active,,2023-10-17 01:43:40.398734 ruby.fundamental,https://github.com/khusnetdinov/ruby.fundamental,NEW,Data,2024-12-12 13:30:57,472.0,85.0,10.0,2016-08-12 07:59:39,2023-10-10 14:13:04,khusnetdinov/ruby.fundamental,active,,2021-11-09 01:47:51.283394 redtide,https://github.com/qks1lver/redtide,NEW,Data,2024-11-05 02:38:50,166.0,37.0,1.0,2018-08-19 20:13:44,2020-05-22 05:45:27,qks1lver/redtide,inactive,,2021-11-09 01:47:51.283394 gun,https://github.com/amark/gun,NEW,Data,2024-12-28 13:44:31,18219.0,1170.0,137.0,2014-07-31 15:52:10,2024-11-29 23:52:33,amark/gun,active,,2021-11-09 01:47:51.283394 Stock-Prediction,https://github.com/alisonmitchell/Stock-Prediction,NEW,Data,2024-12-22 23:20:48,157.0,34.0,1.0,2021-02-25 17:18:31,2023-12-22 15:52:39,alisonmitchell/Stock-Prediction,active,,2024-05-21 01:26:53.440657 opentick,https://github.com/rustdesk/opentick,NEW,Data,2024-11-16 20:47:33,197.0,36.0,1.0,2018-08-26 14:02:09,2020-10-25 17:19:32,open-trade/opentick,inactive,,2021-11-09 01:47:51.283394 firefly-plaid-connector-2,https://github.com/dvankley/firefly-plaid-connector-2,NEW,Data,2024-12-28 10:13:37,102.0,15.0,9.0,2022-09-17 01:58:07,2024-09-05 12:24:01,dvankley/firefly-plaid-connector-2,active,,2024-12-17 01:31:01.801098 DeepTimeSeries,https://github.com/pipidog/DeepTimeSeries,NEW,Data,2024-12-23 08:28:08,117.0,30.0,1.0,2018-01-25 02:47:17,2018-01-26 19:41:20,pipidog/DeepTimeSeries,inactive,,2021-11-09 01:47:51.283394 datafeed,https://github.com/yinhm/datafeed,NEW,Data,2024-10-30 09:30:44,134.0,46.0,1.0,2011-12-22 06:58:49,2014-05-30 08:11:40,yinhm/datafeed,inactive,,2021-11-09 01:47:51.283394 Open-Data-Catalog,https://github.com/azavea/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,,2021-11-09 01:47:51.283394 SEC-EDGAR-text,https://github.com/alions7000/SEC-EDGAR-text,NEW,Data,2024-10-29 05:05:38,109.0,38.0,2.0,2017-05-22 21:11:38,2023-05-29 18:26:33,alions7000/SEC-EDGAR-text,active,,2024-02-13 01:40:56.507970 neo-server,https://github.com/machbase/neo-server,NEW,Data,2024-12-24 06:27:18,103.0,9.0,6.0,2023-01-02 00:40:00,2024-12-24 06:27:07,machbase/neo-server,active,,2024-12-03 01:31:06.889964 cs-fundamentals,https://github.com/connor11528/cs-fundamentals,NEW,Data,2024-12-27 13:25:55,1128.0,232.0,7.0,2016-12-29 21:47:23,2024-06-21 17:04:56,connor11528/cs-fundamentals,active,,2021-11-09 01:47:51.283394 Deep_XF,https://github.com/ajayarunachalam/Deep_XF,NEW,Data,2024-12-20 08:10:54,113.0,23.0,1.0,2021-10-26 08:20:45,2022-12-08 13:58:47,ajayarunachalam/Deep_XF,inactive,,2023-07-11 02:18:07.537967 tsdl,https://github.com/FinYang/tsdl,NEW,Data,2024-10-17 20:47:03,105.0,42.0,2.0,2018-11-08 08:20:06,2020-07-12 23:35:21,FinYang/tsdl,inactive,,2024-04-02 01:44:48.706579 crypto,https://github.com/spatie/crypto,NEW,Data,2024-11-21 06:53:51,457.0,61.0,13.0,2020-11-06 14:46:03,2024-07-08 05:24:47,spatie/crypto,active,,2021-11-09 01:47:51.283394 sec-api,https://github.com/janlukasschroeder/sec-api,NEW,Data,2024-12-28 06:35:55,230.0,34.0,2.0,2018-12-22 01:25:04,2022-09-12 18:17:55,janlukasschroeder/sec-api,inactive,,2021-11-16 01:48:56.187280 calendar-heatmap,https://github.com/DKirwan/calendar-heatmap,NEW,Data,2024-12-25 09:23:51,2013.0,140.0,11.0,2016-02-16 20:54:30,2019-03-12 22:48:22,DKirwan/calendar-heatmap,inactive,,2021-11-09 01:47:51.283394 Phirautee,https://github.com/Viralmaniar/Phirautee,NEW,Data,2024-12-05 10:54:42,118.0,29.0,1.0,2020-04-11 05:59:10,2020-08-11 02:23:11,Viralmaniar/Phirautee,inactive,,2022-10-18 03:35:48.817911 cryptory,https://github.com/dashee87/cryptory,NEW,Data,2024-06-13 09:42:31,229.0,58.0,1.0,2018-02-06 23:49:54,2018-06-12 23:40:41,dashee87/cryptory,inactive,,2021-11-09 01:47:51.283394 Data_Science_Fundamentals,https://github.com/dziganto/Data_Science_Fundamentals,NEW,Data,2024-03-26 15:11:02,102.0,58.0,1.0,2017-09-18 18:38:15,2018-06-25 19:45:25,dziganto/Data_Science_Fundamentals,inactive,,2023-08-15 01:39:36.886752 ElliottWaveAnalyzer,https://github.com/btcorgtfo/ElliottWaveAnalyzer,NEW,Data,2024-11-08 18:24:15,136.0,69.0,2.0,2021-05-07 19:17:48,2024-06-05 17:55:12,btcorgtfo/ElliottWaveAnalyzer,active,,2024-03-12 01:39:14.220997 yahoo-earnings-calendar,https://github.com/wenboyu2/yahoo-earnings-calendar,NEW,Data,2024-10-28 16:21:34,186.0,74.0,4.0,2016-12-23 08:36:43,2020-04-25 07:23:40,wenboyu2/yahoo-earnings-calendar,inactive,,2021-11-09 01:47:51.283394 data,https://github.com/open-covid-19/data,NEW,Data,2024-12-21 09:59:34,279.0,63.0,6.0,2020-03-14 06:40:00,2020-11-13 21:53:13,open-covid-19/data,inactive,,2021-11-09 01:47:51.283394 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,Data,2024-12-24 04:44:00,403.0,120.0,1.0,2019-07-29 17:44:47,2020-08-12 15:43:34,deshpandenu/Time-Series-Forecasting-of-Amazon-Stock-Prices-using-Neural-Networks-LSTM-and-GAN-,inactive,,2021-11-09 01:47:51.283394 neuralforecast,https://github.com/Nixtla/neuralforecast,NEW,Data,2024-12-28 23:41:20,3210.0,368.0,38.0,2021-04-26 00:15:19,2024-12-19 20:53:16,Nixtla/neuralforecast,active,,2022-02-08 01:52:08.814326 finam-export,https://github.com/ffeast/finam-export,NEW,Data,2024-11-29 09:34:37,102.0,35.0,5.0,2016-11-02 19:15:03,2021-11-04 10:00:52,ffeast/finam-export,inactive,,2024-06-11 01:29:18.377529 TimeSeries-GAN,https://github.com/numancelik34/TimeSeries-GAN,NEW,Data,2024-12-27 05:40:04,114.0,22.0,1.0,2019-12-09 11:29:52,2019-12-13 10:33:41,numancelik34/TimeSeries-GAN,inactive,,2023-11-07 01:45:45.144122 tsbs,https://github.com/timescale/tsbs,NEW,Data,2024-12-28 16:28:12,1318.0,307.0,32.0,2018-08-08 14:30:28,2023-09-21 13:18:59,timescale/tsbs,active,,2021-11-09 01:47:51.283394 trading-indicator,https://github.com/thanhnguyennguyen/trading-indicator,NEW,Data,2024-12-02 07:21:57,242.0,55.0,3.0,2020-01-30 01:04:36,2024-03-03 02:57:43,thanhnguyennguyen/trading-indicator,active,,2022-01-25 01:56:23.928177 covid-19-germany-gae,https://github.com/jgehrcke/covid-19-germany-gae,NEW,Data,2024-12-03 19:37:31,146.0,47.0,4.0,2020-03-17 18:53:29,2023-04-29 13:22:49,jgehrcke/covid-19-germany-gae,active,,2021-11-09 01:47:51.283394 GAN-AD,https://github.com/LiDan456/GAN-AD,NEW,Data,2024-12-26 08:29:18,147.0,50.0,1.0,2019-01-15 02:10:13,2019-01-15 02:35:20,LiDan456/GAN-AD,inactive,,2022-07-26 03:23:25.008381 lstm-anomaly-detect,https://github.com/aurotripathy/lstm-anomaly-detect,NEW,Data,2024-12-10 16:02:16,175.0,97.0,1.0,2016-03-10 18:58:13,2016-03-10 20:19:04,aurotripathy/lstm-anomaly-detect,inactive,,2021-11-09 01:47:51.283394 Stock-SEC-Data-Dashboard,https://github.com/hrshtsharma17/Stock-SEC-Data-Dashboard,NEW,Data,2024-11-05 15:48:16,117.0,12.0,1.0,2023-08-25 22:21:19,2023-09-08 17:36:59,hrshtsharma17/Stock-SEC-Data-Dashboard,active,,2023-09-12 01:40:44.744077 CFDS,https://github.com/financial-data-science/CFDS,NEW,Data,2024-12-25 16:26:54,203.0,42.0,2.0,2019-10-11 18:13:38,2020-10-24 14:42:12,financial-data-science/CFDS,inactive,,2024-07-23 01:29:33.350390 labelImg,https://github.com/HumanSignal/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,,2023-07-25 02:14:35.864151 hadoopcryptoledger,https://github.com/ZuInnoTe/hadoopcryptoledger,NEW,Data,2024-12-03 22:40:53,142.0,51.0,4.0,2016-03-28 16:08:49,2022-07-24 13:54:59,ZuInnoTe/hadoopcryptoledger,inactive,,2021-11-09 01:47:51.283394 tokencaps,https://github.com/pRoy24/tokencaps,NEW,Data,2024-08-06 00:29:47,117.0,20.0,1.0,2017-11-26 03:00:37,2018-10-19 06:15:31,pRoy24/tokencaps,inactive,,2021-11-09 01:47:51.283394 brein-time-utilities,https://github.com/Breinify/brein-time-utilities,NEW,Data,2024-12-16 06:56:12,124.0,15.0,6.0,2016-03-03 03:09:03,2023-02-24 01:56:52,Breinify/brein-time-utilities,active,,2022-01-04 01:57:41.258575 financial-data-structures,https://github.com/Jackal08/financial-data-structures,NEW,Data,2024-07-30 03:32:29,113.0,60.0,1.0,2018-05-07 19:44:37,2020-02-21 14:22:00,Jackal08/financial-data-structures,inactive,,2021-11-09 01:47:51.283394 jsnlog.js,https://github.com/mperdeck/jsnlog.js,NEW,Data,2024-09-15 07:10:25,130.0,43.0,8.0,2014-02-24 09:20:27,2021-10-03 11:18:18,mperdeck/jsnlog.js,inactive,,2021-11-09 01:47:51.283394 courtlistener,https://github.com/freelawproject/courtlistener,NEW,Data,2024-12-27 18:52:19,566.0,153.0,70.0,2014-07-25 13:22:00,2024-12-24 17:54:48,freelawproject/courtlistener,active,,2022-05-24 02:55:27.091042 element-china-area-data,https://github.com/Plortinus/element-china-area-data,NEW,Data,2024-12-26 10:00:25,1299.0,214.0,1.0,2017-03-01 06:10:33,2023-10-11 05:20:51,Plortinus/element-china-area-data,active,,2021-11-09 01:47:51.283394 tempo,https://github.com/databrickslabs/tempo,NEW,Data,2024-12-23 12:51:20,316.0,53.0,18.0,2020-07-14 15:43:11,2024-11-18 11:06:16,databrickslabs/tempo,active,,2021-11-09 01:47:51.283394 Python-Fundamentals,https://github.com/dlab-berkeley/Python-Fundamentals,NEW,Data,2024-12-09 22:12:05,37.0,21.0,3.0,2022-11-14 20:46:14,2024-10-02 18:37:05,dlab-berkeley/Python-Fundamentals,active,,2021-11-09 01:47:51.283394 fredapi,https://github.com/mortada/fredapi,NEW,Data,2024-12-20 09:19:19,953.0,163.0,7.0,2014-08-22 01:43:29,2024-05-05 11:39:39,mortada/fredapi,active,,2021-11-09 01:47:51.283394 finreportr,https://github.com/sewardlee337/finreportr,NEW,Data,2024-11-23 14:04:35,130.0,48.0,1.0,2015-08-02 21:20:24,2022-01-17 07:24:26,sewardlee337/finreportr,inactive,,2021-12-14 01:56:12.697043 cryptofeed,https://github.com/bmoscon/cryptofeed,NEW,Data,2024-12-28 20:25:44,2296.0,693.0,116.0,2017-12-16 12:35:23,2024-11-21 00:18:18,bmoscon/cryptofeed,active,,2021-11-09 01:47:51.283394 QuantInvestStrats,https://github.com/ArturSepp/QuantInvestStrats,NEW,Data,2024-12-27 10:10:17,213.0,25.0,2.0,2022-12-30 16:57:52,2024-12-27 10:10:11,ArturSepp/QuantInvestStrats,active,,2024-06-04 01:29:38.433458 PrivateBin,https://github.com/PrivateBin/PrivateBin,NEW,Data,2024-12-28 23:25:34,6694.0,831.0,118.0,2016-07-09 07:03:25,2024-12-14 08:14:44,PrivateBin/PrivateBin,active,,2021-11-09 01:47:51.283394 Financials-Extension,https://github.com/cmallwitz/Financials-Extension,NEW,Data,2024-12-25 15:49:47,157.0,22.0,3.0,2017-11-07 21:55:05,2024-09-29 13:41:52,cmallwitz/Financials-Extension,active,,2023-09-05 01:39:39.878529 financial_stock_knowledge_graph,https://github.com/kevin-meng/financial_stock_knowledge_graph,NEW,Data,2024-12-11 07:45:43,130.0,34.0,1.0,2020-02-06 05:41:55,2021-10-05 10:42:29,kevin-meng/financial_stock_knowledge_graph,inactive,,2023-02-07 02:10:07.223310 js-jose,https://github.com/square/js-jose,NEW,Data,2024-09-22 06:30:45,422.0,91.0,21.0,2015-01-27 23:26:10,2023-01-10 17:50:34,square/js-jose,active,,2021-11-09 01:47:51.283394 ADRepository-Anomaly-detection-datasets,https://github.com/GuansongPang/ADRepository-Anomaly-detection-datasets,NEW,Data,2024-12-26 18:34:12,379.0,59.0,1.0,2020-10-15 23:05:21,2023-09-11 01:27:14,GuansongPang/ADRepository-Anomaly-detection-datasets,active,,2022-09-06 03:40:54.681386 MessyTimeSeries.jl,https://github.com/fipelle/MessyTimeSeries.jl,NEW,Data,2024-12-28 01:49:47,122.0,5.0,1.0,2019-10-30 15:43:14,2022-12-09 18:11:36,fipelle/MessyTimeSeries.jl,inactive,,2022-07-19 03:17:35.816481 plotly-resampler,https://github.com/predict-idlab/plotly-resampler,NEW,Data,2024-12-28 04:36:43,1057.0,70.0,13.0,2021-11-20 10:51:56,2024-12-15 20:03:00,predict-idlab/plotly-resampler,active,,2021-12-14 01:56:12.697043 covid19,https://github.com/pomber/covid19,NEW,Data,2024-12-12 10:43:26,1227.0,375.0,124.0,2020-03-13 04:40:32,2023-03-10 08:32:41,pomber/covid19,active,,2021-11-09 01:47:51.283394 Capital Markets Data,https://www.capitalmarketsdata.com/,,Data,,,,,,,,,, awesome-time-series-analysis,https://github.com/youngdou/awesome-time-series-analysis,NEW,Data,2024-12-24 02:19:15,177.0,27.0,2.0,2018-10-21 13:17:13,2021-03-13 17:11:24,youngdou/awesome-time-series-analysis,inactive,,2021-11-09 01:47:51.283394 finlib,https://github.com/hartktmk/finlib,NEW,Data,2022-11-17 19:02:34,134.0,22.0,0.0,2019-05-12 05:00:55,2021-03-23 20:03:28,harttraveller/finlib,active,,2021-11-09 01:47:51.283394 LSTM---Stock-prediction,https://github.com/jgpavez/LSTM---Stock-prediction,NEW,Data,2024-12-23 16:49:19,307.0,148.0,1.0,2015-01-21 19:23:07,2021-01-03 22:04:52,jgpavez/LSTM---Stock-prediction,inactive,,2021-11-09 01:47:51.283394 hypercube,https://github.com/hypercube-lab/hypercube,NEW,Data,2024-12-16 21:25:36,971.0,222.0,14.0,2021-09-08 06:47:07,2021-10-14 13:44:17,hypercube-lab/hypercube,inactive,,2021-11-09 01:47:51.283394 tardis-node,https://github.com/tardis-dev/tardis-node,NEW,Data,2024-12-12 07:55:06,298.0,66.0,3.0,2019-06-13 08:46:04,2024-11-22 15:29:34,tardis-dev/tardis-node,active,,2021-11-09 01:47:51.283394 Tools-termux,https://github.com/Taoviqinvicible/Tools-termux,NEW,Data,,,,,,,Taoviqinvicible/Tools-termux,,,2021-11-09 01:47:51.283394 dj-stripe,https://github.com/dj-stripe/dj-stripe,NEW,Data,2024-12-27 22:14:49,1658.0,491.0,105.0,2013-08-05 15:31:30,2024-12-27 22:14:21,dj-stripe/dj-stripe,active,,2024-05-07 01:27:40.185130 roll,https://github.com/jjf234/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,,2022-11-29 02:21:55.195689 covid-19-open-data,https://github.com/GoogleCloudPlatform/covid-19-open-data,NEW,Data,2024-12-04 14:15:18,470.0,131.0,20.0,2020-07-23 23:43:51,2022-10-23 22:26:29,GoogleCloudPlatform/covid-19-open-data,inactive,,2021-11-09 01:47:51.283394 FinanceDataReader,https://github.com/FinanceData/FinanceDataReader,NEW,Data,2024-12-28 13:27:55,1209.0,370.0,11.0,2018-04-19 13:51:59,2024-09-09 17:59:03,FinanceData/FinanceDataReader,active,,2021-11-09 01:47:51.283394 Everpix-Intelligence,https://github.com/everpix/Everpix-Intelligence,NEW,Data,2024-11-16 00:08:19,2452.0,536.0,1.0,2014-01-09 07:29:57,2018-06-02 14:19:31,everpix/Everpix-Intelligence,inactive,,2021-11-09 01:47:51.283394 etherscan-labels,https://github.com/brianleect/etherscan-labels,NEW,Data,2024-12-13 17:55:50,265.0,80.0,3.0,2022-07-28 16:18:15,2023-10-01 18:22:35,brianleect/etherscan-labels,active,,2023-06-20 02:05:08.113361 IDTxl,https://github.com/pwollstadt/IDTxl,NEW,Data,2024-12-05 22:55:49,250.0,76.0,13.0,2015-07-16 07:14:21,2024-10-01 09:18:04,pwollstadt/IDTxl,active,,2021-11-09 01:47:51.283394 InStock,https://github.com/myhhub/InStock,NEW,Data,2024-12-28 23:52:41,6696.0,1227.0,3.0,2023-03-21 01:23:26,2024-12-16 00:46:15,myhhub/stock,active,,2023-05-23 02:01:56.113556 ngram-type,https://github.com/ranelpadon/ngram-type,NEW,Data,2024-12-28 17:37:27,210.0,41.0,7.0,2020-10-25 23:49:00,2023-08-01 07:04:55,ranelpadon/ngram-type,active,,2022-10-04 03:06:14.669688 Nginx-Lua-Anti-DDoS,https://github.com/C0nw0nk/Nginx-Lua-Anti-DDoS,NEW,Data,2024-12-18 10:40:55,1184.0,270.0,2.0,2019-08-21 23:52:09,2022-05-12 14:35:01,C0nw0nk/Nginx-Lua-Anti-DDoS,inactive,,2021-11-09 01:47:51.283394 TSML.jl,https://github.com/IBM/TSML.jl,NEW,Data,2024-11-01 12:42:53,108.0,17.0,6.0,2019-01-31 03:57:56,2024-05-24 14:09:20,IBM/TSML.jl,active,,2023-08-01 02:06:42.116411 DXY-COVID-19-Data,https://github.com/BlankerL/DXY-COVID-19-Data,NEW,Data,2024-12-23 12:45:41,2160.0,703.0,1.0,2020-01-31 13:21:57,2022-04-19 10:35:23,BlankerL/DXY-COVID-19-Data,inactive,,2021-11-09 01:47:51.283394 wayback-machine-scraper,https://github.com/sangaline/wayback-machine-scraper,NEW,Data,2024-12-25 11:53:43,431.0,75.0,1.0,2017-04-04 23:27:58,2021-02-15 19:00:15,sangaline/wayback-machine-scraper,inactive,,2021-11-09 01:47:51.283394 RZDataBinding,https://github.com/Rightpoint/RZDataBinding,NEW,Data,2024-10-17 01:36:18,543.0,57.0,4.0,2014-09-19 15:15:16,2018-10-04 22:34:22,Rightpoint/RZDataBinding,inactive,,2021-11-09 01:47:51.283394 awesome-time-series,https://github.com/lmmentel/awesome-time-series,NEW,Data,2024-12-27 07:23:11,556.0,84.0,13.0,2021-10-26 21:48:18,2024-05-22 19:40:03,lmmentel/awesome-time-series,active,,2022-02-15 02:01:11.565985 NSE-Stock-Scanner,https://github.com/deshwalmahesh/NSE-Stock-Scanner,NEW,Data,2024-12-20 08:26:47,217.0,153.0,1.0,2021-07-17 11:14:38,2022-02-15 15:15:44,deshwalmahesh/NSE-Stock-Scanner,inactive,,2023-07-04 02:25:10.054914 dataconnector,https://github.com/brentadamson/dataconnector,NEW,Data,2022-07-30 17:03:44,114.0,25.0,1.0,2021-03-21 19:50:49,2022-02-28 00:58:10,brentadamson/dataconnector,active,,2022-02-01 01:53:23.424386 sec-xbrl,https://github.com/altova/sec-xbrl,NEW,Data,2024-11-21 00:22:11,111.0,40.0,2.0,2014-09-20 18:08:27,2015-07-31 15:34:33,altova/sec-xbrl,inactive,,2023-03-21 01:59:36.723721 killrweather,https://github.com/killrweather/killrweather,NEW,Data,2024-11-20 15:33:44,1183.0,395.0,4.0,2014-10-07 16:53:21,2016-12-20 02:45:16,killrweather/killrweather,inactive,,2021-11-09 01:47:51.283394 search_widget,https://github.com/apgapg/search_widget,NEW,Data,2024-08-15 04:40:19,198.0,55.0,8.0,2019-04-03 12:40:18,2022-05-02 11:00:07,apgapg/search_widget,inactive,,2021-11-09 01:47:51.283394 time_series_data_mining,https://github.com/fitzgerald0/time_series_data_mining,NEW,Data,2024-12-13 09:44:10,123.0,56.0,1.0,2019-05-12 10:29:17,2022-02-22 12:18:36,fitzgerald0/time_series_data_mining,inactive,,2023-03-07 02:26:24.039684 FundamentalAnalysis,https://github.com/JerBouma/FundamentalAnalysis,NEW,Data,2024-12-28 19:28:47,3051.0,366.0,7.0,2019-04-08 11:44:25,2024-12-20 22:47:16,JerBouma/FinanceToolkit,active,,2021-11-09 01:47:51.283394 torque,https://github.com/econpy/torque,NEW,Data,2024-12-12 03:57:36,286.0,120.0,2.0,2013-12-09 06:28:43,2015-07-13 09:55:55,econpy/torque,inactive,,2021-11-09 01:47:51.283394 R-Fundamentals-Legacy,https://github.com/dlab-berkeley/R-Fundamentals-Legacy,NEW,Data,2024-03-27 01:19:58,140.0,50.0,12.0,2016-11-14 17:43:54,2023-02-06 23:04:08,dlab-berkeley/R-Fundamentals-Legacy,active,,2023-07-11 02:18:07.537967 tvdatafeed,https://github.com/StreamAlpha/tvdatafeed,NEW,Data,2023-04-22 13:51:41,395.0,171.0,4.0,2021-04-09 07:50:54,2022-08-27 16:53:50,StreamAlpha/tvdatafeed,active,,2022-01-11 01:58:45.450506 Python_Portfolio__VaR_Tool,https://github.com/MBKraus/Python_Portfolio__VaR_Tool,NEW,Data,2024-07-28 11:38:45,116.0,37.0,2.0,2018-01-20 19:31:15,2021-02-17 18:11:53,MBKraus/Python_Portfolio__VaR_Tool,inactive,,2023-07-11 02:18:07.537967 Atleta-Network,https://github.com/Nour-ibrahem/Atleta-Network,NEW,Data,2024-11-18 20:04:35,1069.0,0.0,1.0,2024-10-06 23:11:40,2024-11-13 15:13:20,Nour-ibrahem/Atleta-Network,active,,2024-11-19 01:32:01.579868 Morph,https://github.com/Raphael19Flauzino/Morph,NEW,Data,2024-12-19 11:02:18,4.0,0.0,1.0,2024-08-15 00:42:25,2024-11-13 17:33:35,Raphael19Flauzino/Morph,active,,2024-11-19 01:32:01.579868 twelvedata-python,https://github.com/twelvedata/twelvedata-python,NEW,Data,2024-12-28 22:51:57,395.0,57.0,8.0,2019-12-31 12:45:17,2024-09-16 10:28:38,twelvedata/twelvedata-python,active,,2021-11-09 01:47:51.283394 venice,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 sec-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 GLMsingle,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 logisland,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 cryptomator,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 time_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 FTC-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 mstables,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 LSTM-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 CalendarHeatmap,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 tsfeatures,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 Time-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 kalmangrad,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 backtesting-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 agora,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 py-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 causalai,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 jhTAlib,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 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),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, 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.,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 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 ,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 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.,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 ninjabook,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 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.,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 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,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 dragonflybot,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 plaid-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 Major-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 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 ,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 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),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 StarTrader,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 RL 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, 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 ,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 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,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 LTSM 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, AI 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, RLQuant,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 gym-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 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,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 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,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 RL,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, gym-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 Trading-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 TradingGym,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 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)),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 RL 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, AlphaTrade,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 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),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 deep-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 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,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 Deep_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 TradeMaster,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 TradingGym,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 RL-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 reinforcement_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 IPythonScripts,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 RL 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, stock-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 RL 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,, An-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 RL 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, 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.,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, Deep 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, FinRL,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 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. ",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 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,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 tensortrade,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 FinRock,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 ARIMA-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, slow-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 a3c_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 Deep 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, trials,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 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),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 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,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 LTSM 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, 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.,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 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. ,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 Neural 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, 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.,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 Reinforcement-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 maro,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 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,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 QLearning_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 pairstrade-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 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,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 rl_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 rl,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 Pair-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 Deep 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, freqtrade-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 Machine-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 Deep 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, Quantitative-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 DQN-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 FinancePy,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 openAlgo,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 betterOptionsTrading,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 pyBlackScholesAnalytics,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 fast_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 tf-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 huobi_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 Option 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,, FlowAlgo-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 Volatility 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,, Black 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,, pancakeswap-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 wallstreet,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 option-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 kwenta,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 bitcoin_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 StockSharp,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 trade-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 stocktrends,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 MarketAnalysis,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 FinanceDatabase,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 Options 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,, 10101,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 QLNet,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 Iq_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 robin_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 Derivatives 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,, Delta 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,, quant-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 algotrader,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 binance-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 python-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 paperbroker,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 compendium,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 torchquant,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 LoopTrader,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 Strata,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 optlib,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 akshare,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 RustQuant,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 Reinforcement 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,, tda-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 optionlab,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 harvest,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 lumibot,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 quantlib,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 Options,https://github.com/PHBS/2018.M1.ASP/tree/master/py,Black Scholes and Copula.,Derivatives and Hedging,,,,,,,PHBS/2018.M1.ASP,,, Options_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 opstrat,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 gs-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 investbook,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 injective-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 fully-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 Computational 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,, renegade-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 Options-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 TradingView-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 options_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 tai,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 optopsy,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 OptionSuite,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 MarketAnalysis,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 trading-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 Options,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,, ibkr-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 AlgorithmicTrading,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 Derman,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,, Derivative 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,, Quantsbin,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 Hull 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,, transaction-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 graph-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 sagemaker-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 PyStrategies,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 algo-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 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,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 FX-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 Krypto-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 Commodity,https://github.com/felipessalvatore/fin2vec/blob/master/src/Commodity2BR.ipynb,Commodity influence over Brazilian stocks.,Extended Research,,,,,,,felipessalvatore/fin2vec,,, fraud-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 example-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 Computational 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,, HFTBOT,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 HFT_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 HFTFramework,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 high-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 Q-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 Liquidity 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,, hummingbot_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 Financial-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 esg-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 Bitfinex-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 awesome-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 Bitfinex-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 VisualHFT,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 fraud-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 fraud-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 ID-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 Fraud-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 hft,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 OpenHFT,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 EarnHFT,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 fingerprintjs,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 DGFraud,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 semi-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 hft-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 barter-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 Ml_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 fecon236,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 Trading-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 High-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 High-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 anomaly-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 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.,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,, gamma-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 Credit-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 Critical 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,, InteractiveBrokers-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 openapi-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 viperfish,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 thunder-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 DynamicSocialNetworkFraudDetection,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 open-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 RipplePower,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 collections,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 SumZeroTrading,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 HFT-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 edgar-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 hft-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 dgraph,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 HFT-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 Fraud-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 creditcardML,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 Mathematical 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,, imperial_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 HFT-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 hft,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 Finance 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,, MarketDataRec,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 awesome-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 kungfu,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 Order_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 tectonicdb,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 FullFIX,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 awesome-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 Financial 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,, crypto-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 FX-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 tradingrrl,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 StockPredictionRNN,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 finmath-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 ML-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 hft,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 HighFrequencyTradingSVMs,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 fraud-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 Bayesian 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,, Credit-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 BERT4ETH_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 barter-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 Quant-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 HoloScope,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 exchange-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 hftrx,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 FXBot,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 demo-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 DRL_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 avellaneda-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 FlashFunk,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 talkingdata-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 Bookmarklet-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 Chronicle-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 NLP 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,, algo-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 Fraud_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 Economic 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,, HFTrader,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 High-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 Werk,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 OrderImbalance,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 Building-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 HFT,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 mbt_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 flow,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 Market 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,, HFCrypto,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 Corporate 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,, TradingStrategies,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 ESL,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 dl-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 performance,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 antifraud,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 ejtraderCT,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 2018-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 beymani,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 HFT,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,, Credit-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 gym-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 roq-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 Fraud_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 go-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 FraudDetection-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 Algo-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 MacroHFT,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 PE-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 DGFraud-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 TalkingData,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 ECE1373_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 moxt,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 Axial-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 algotrading,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 fraud-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 cashflows,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 fraudfinder,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 ITCH,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 FaceLivenessDetection-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 Fraud_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 wtpy,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 InteractiveBrokers-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 HFT-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 tumbleweed_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 Coiner,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 High 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,, Arbitrage-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 wattnet-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 Dual-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 realtime-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 Behavioural 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,, MStream,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 Applied 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,, Simulation,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,, HighFrequencyTradingBot,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 Chronicle-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 avellaneda-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 Deep 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,, DistributedATS,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 fraud-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 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,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 Awesome-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 fx_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 fingerprintjs-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 kafka-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 Real 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,,, dashboard,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 PythonMatchingEngine,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 python-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 Fraud_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 Trading-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 math-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 bidask,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 Credit-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 roq-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 HFT,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 wondertrader,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 LSTM-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 M&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,, antifraud,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 Fraud-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 go-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 Currency 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,, Avellaneda-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 freqtrade_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 system,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 spartan,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 MIDAS,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 crypto-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 448Project,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 PyLimitOrderBook,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 neural-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 bot18,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 VPIN_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 FraudDetection,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 Life-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,, ReactiveTraderCloud,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 getIPIntel,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 tribeca,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 hftbacktest,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 CamCapital,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 AXOrderBook,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 solana-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 hFT-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 ml-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 lobster,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 hft-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 hummingbot,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 shift-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 UGFraud,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 math-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 credit-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 Backtests,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,, BERT4ETH,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 HFT-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 hummingbot,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 Quantitative-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 Empirical-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 Convex 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,, whitepaper,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 Quant 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,, equity-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 -1,https://github.com/Rastaman4e/-1,NEW,Factor and Risk Analysis,,,,,,,Rastaman4e/-1,,,2023-08-30 01:39:52.258766 TradeFinexLive,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 Factor 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,, Bitcoin_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 Statistical 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,, VaR 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,, Pyfolio,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,, Factor 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,, Risk 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,, 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,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 two_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 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.,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,, Risk 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,, -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 Performance 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,, Bitcoin-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 financeMacroFactors,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 VaR,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,, stock-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 simulate,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 Machine_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 SafetyAndTrade,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 FEEDN,https://github.com/THEFEASTCOIN/FEEDN,NEW,Factor and Risk Analysis,,,,,,,THEFEASTCOIN/FEEDN,,,2024-09-18 01:29:18.849418 The-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 Quantropy,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 AlphaTrading,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 Liberty-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 Liberty-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 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,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 Python 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,, CAPM,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,, factor-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 one_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 Stock-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 toraniko,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 TRACE-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 punk.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 Vasicek,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,, market-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 rateslib,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 woe,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 fixed-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 Corporate 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,, Binomial 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,, neurons,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 pyratings,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 sagemaker-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 augmented-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 rating_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 MagentoExtensions,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 R-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 DROP-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 TradingView-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 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,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 Algorithmic-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 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,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 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,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 Binance-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 MLSys-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 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,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 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.,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 Mixture 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, tfq-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 StockFormer,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 fracdiff,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 financial-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 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/),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 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),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 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,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, 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,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 hyperdrive,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 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,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 Stock-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 Stanford-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 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,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 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,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, 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),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 Machine-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 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.,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 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,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 AmpyFin,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 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,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 AI-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 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.,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 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,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 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 ,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, qlib,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 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,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 AMLSim,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 MLiFC,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 Pairs-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 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,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 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/),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 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,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 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,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 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),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 intelligent-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 mlbot_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 pybroker,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 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,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 tuneta,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 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.,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, 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),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 Algorithmic_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 Trend Following,http://inseaddataanalytics.github.io/INSEADAnalytics/ExerciseSet2.html,A futures trend following portfolio investment strategy.,Other Models,,,,,,,,,, Financial Event Prediction using Machine Learning,https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3481555,,Personal Papers,,,,,,,,,, Machine Learning in Asset Management—Part 2: Portfolio Construction—Weight Optimization,https://jfds.pm-research.com/content/2/2/17,,Personal Papers,,,,,,,,,, Machine Learning in Asset Management—Part 1: Portfolio Construction—Trading Strategies,https://jfds.pm-research.com/content/2/1/10,,Personal Papers,,,,,,,,,, Machine Learning in Asset Management,https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3420952,,Personal Papers,,,,,,,,,, deepfolio,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 401K 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,, OLMAR 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,, Online 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,,,,,,,,,, DeepDow,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,, Riskfolio-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 portfolio-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 Reinforcement 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,, Modern 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,,,,,,,,,, node-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 finance-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 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.,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,, Efficient 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,, cvxportfolio,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 Deep 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,, okama,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 PyPortfolioOpt,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,, riskparity.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 Policy 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,, riskparity.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 news-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 FinBERT,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 ChatGPT-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 finsight,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 fin-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 NLP 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,, Accounting 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,, FinNLP-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 BDCI2019-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 Cornucopia-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 financial-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 Buzzwords,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,, awesome-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 Financial 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,, Extensive 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,, Earning 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,, Fund 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,, Financial 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,, NLP,https://github.com/toamitesh/NLPinFinance,This project assembles a lot of NLP operations needed for finance domain.,Textual,,,,,,,toamitesh/NLPinFinance,,, Stock_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 Pairs 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,, pairs_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 VRA 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,, Credit-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 Industry 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,, Learning-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 hmm_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 PCA Pairs Trading,https://github.com/joelQF/quant-finance/tree/master/Artificial_IntelIigence_for_Trading,"PCA, Factor Returns, and trading strategies.",Unsupervised,,,,,,,joelQF/quant-finance,,, all-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 AnomalyDetectionOnRisk,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 Eigen-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 Fund 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,, Industry 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,, tableQA-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 Machine_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 ================================================ FILE: requirements.txt ================================================ pandas==1.2.1 PyGithub==1.54.1 tabulate==0.8.9 ================================================ FILE: wiki_gen.py ================================================ from conf import PROJECT_ROOT_DIR import os import pandas as pd import numpy as np import re from git_status import get_repo_list def get_wiki_status_color(input_text): if input_text is None or input_text == 'inactive': result_text = ":heavy_multiplication_x:" else: result_text = ":heavy_check_mark:" return '{}'.format(result_text) def get_wiki_rating(input_rating): result_text = '' if input_rating is not None and not np.isnan(input_rating): rating = int(input_rating) result_text = ':star:x{}'.format(rating) return '{}'.format(result_text) def generate_wiki_per_category(output_path, update_readme: bool = True): """ :param update_readme: :param output_path: """ repo_df = get_repo_list() for category in repo_df['category'].unique(): category_df = repo_df[repo_df['category'] == category].copy() url_md_list = [] for idx, irow in category_df[['name', 'url']].iterrows(): url_md_list.append('[{}]({})'.format(irow['name'], irow['url'])) formatted_df = pd.DataFrame({ 'repo': url_md_list, 'comment': category_df['comment'].apply(lambda x: '{}'.format(x)), 'created_at': category_df['created_at'].apply(lambda x: '{}'.format(x)), 'last_commit': category_df['last_commit'].apply(lambda x: '{}'.format(x)), 'star_count': category_df['star_count'].apply(lambda x: '{}'.format(x)), 'repo_status': category_df['repo_status'], 'rating': category_df['rating'] }) # add color for the status formatted_df = formatted_df.sort_values(by=['rating', 'star_count'], ascending=False).reset_index(drop=True) formatted_df['repo_status'] = formatted_df['repo_status'].apply(lambda x: get_wiki_status_color(x)) formatted_df['rating'] = formatted_df['rating'].apply(lambda x: get_wiki_rating(x)) formatted_df.columns = ['{}'.format(x) for x in formatted_df.columns] clean_category_name = category.lower().replace(' ', '_') output_path_full = os.path.join(output_path, '{}.md'.format(clean_category_name)) with open(output_path_full, 'w') as f: f.write(formatted_df.to_markdown(index=False)) print('wiki generated in [{}]'.format(output_path_full)) if update_readme: check_str = '[PLACEHOLDER_START:{}]'.format(clean_category_name) with open(os.path.join(PROJECT_ROOT_DIR, 'README.md')) as f: all_read_me = f.read() if check_str not in all_read_me: print(f'section {check_str} not found') continue # only display top 5, then expandable for extra 5 with open(os.path.join(PROJECT_ROOT_DIR, 'README.md'), 'w') as f: table_str = formatted_df.iloc[:15].to_markdown(index=False) new_str = f" \n" new_str += table_str new_str += f"" search_start = re.escape(''.format(clean_category_name)) search_end = re.escape(''.format(clean_category_name)) pattern_s = re.compile(r'{}.*?{}'.format(search_start, search_end), re.DOTALL) write_str = re.sub(pattern_s, new_str, all_read_me) f.write(write_str) if __name__ == '__main__': local_path = os.path.join(PROJECT_ROOT_DIR, 'generated_wiki') generate_wiki_per_category(local_path)