Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Openbbterminal | 26,037 | 5 | 11 days ago | 34 | November 30, 2023 | 283 | mit | Python | ||
Investment Research for Everyone, Everywhere. | ||||||||||
Qlib | 13,295 | 1 | 3 months ago | 32 | July 18, 2023 | 193 | mit | Python | ||
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL. | ||||||||||
Machine Learning For Trading | 9,469 | 10 months ago | 13 | Jupyter Notebook | ||||||
Code for Machine Learning for Algorithmic Trading, 2nd edition. | ||||||||||
Pybroker | 1,455 | 3 months ago | 6 | other | Python | |||||
Algorithmic Trading in Python with Machine Learning | ||||||||||
Surpriver | 1,275 | 3 years ago | 11 | gpl-3.0 | Python | |||||
Find big moving stocks before they move using machine learning and anomaly detection | ||||||||||
Sgx Full Orderbook Tick Data Trading Strategy | 1,151 | 2 years ago | 3 | Jupyter Notebook | ||||||
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data. | ||||||||||
My Data Competition Experience | 271 | 3 years ago | 2 | Python | ||||||
本人多次机器学习与大数据竞赛Top5的经验总结,满满的干货,拿好不谢 | ||||||||||
Quantitative Notebooks | 233 | 4 years ago | apache-2.0 | Jupyter Notebook | ||||||
Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy | ||||||||||
Stockperformanceclassification | 113 | 6 years ago | 3 | Jupyter Notebook | ||||||
Keras 1D CNN on Azure ML Workbench to classify 4 week stock performance based on text in public earnings statements | ||||||||||
Awesome Financial Nlp | 98 | 4 years ago | ||||||||
Researches for Natural Language Processing for Financial Domain |