Squant
SQuant是使用scala语言编写的量化开发工具箱，提供开箱即用的A股股票数据和外汇数据（dock QQ群：281599099，微信公众号：Python与数字货币量化交易。对，我已经转python了。
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Vnpy | 22,695 | 3 months ago | 1 | March 29, 2016 | 7 | mit | Python | |||
| 基于Python的开源量化交易平台开发框架 | ||||||||||
| Financial Machine Learning | 5,277 | 3 months ago | 5 | Python | ||||||
| A curated list of practical financial machine learning tools and applications. | ||||||||||
| Mlfinlab | 3,567 |  | 2 | 4 | 7 months ago | 55 | August 18, 2021 | 36 | other | Python |
| MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools. | ||||||||||
| Ghostfolio | 3,155 | 3 months ago | 77 | agpl-3.0 | TypeScript | |||||
| Open Source Wealth Management Software. Angular + NestJS + Prisma + Nx + TypeScript 🤍 | ||||||||||
| Riskfolio Lib | 2,508 |  | 5 | 3 months ago | 43 | October 04, 2023 | bsd-3-clause | C++ | ||
| Portfolio Optimization and Quantitative Strategic Asset Allocation in Python | ||||||||||
| Stock_analysis_for_quant | 1,483 | 3 months ago | 1 | mit | Jupyter Notebook | |||||
| Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau | ||||||||||
| Quantresearch | 1,410 | 8 months ago | mit | Jupyter Notebook | ||||||
| Quantitative analysis, strategies and backtests | ||||||||||
| Pgportfolio | 1,386 | 3 years ago | 50 | gpl-3.0 | Python | |||||
| PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf). | ||||||||||
| Machine Learning Asset Management | 1,159 | 2 years ago | 2 | Jupyter Notebook | ||||||
| Machine Learning in Asset Management (by @firmai) | ||||||||||
| 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 | ||||||||||
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