History
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Machine Learning For Trading | 9,469 | 10 months ago | 13 | Jupyter Notebook | ||||||
| Code for Machine Learning for Algorithmic Trading, 2nd edition. | ||||||||||
| Vectorbt | 3,189 |  | 9 | 7 months ago | 65 | January 27, 2023 | 181 | other | Python | |
| Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research. | ||||||||||
| Awesome Streamlit | 1,832 | a year ago | 5 | July 28, 2020 | 29 | cc-by-sa-4.0 | HTML | |||
| The purpose of this project is to share knowledge on how awesome Streamlit is and can be | ||||||||||
| Pybroker | 1,455 | 3 months ago | 6 | other | Python | |||||
| Algorithmic Trading in Python with Machine Learning | ||||||||||
| Quantresearch | 1,410 | 8 months ago | mit | Jupyter Notebook | ||||||
| Quantitative analysis, strategies and backtests | ||||||||||
| Fastquant | 1,244 |  | 1 | 7 months ago | 48 | January 04, 2023 | 78 | mit | Jupyter Notebook | |
| fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code! | ||||||||||
| Deep_learning_machine_learning_stock | 1,093 | 2 months ago | 4 | mit | Jupyter Notebook | |||||
| Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders. | ||||||||||
| Alphapy | 1,003 | 4 months ago | 25 | August 29, 2020 | 13 | apache-2.0 | Python | |||
| Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost | ||||||||||
| Machinelearningstocks | 851 | 3 years ago | 7 | mit | Python | |||||
| Using python and scikit-learn to make stock predictions | ||||||||||
| Introneuralnetworks | 691 | 5 years ago | 5 | mit | Python | |||||
| Introducing neural networks to predict stock prices | ||||||||||
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