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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
AI+金融（量化）：1.多因子股票量化框架开源教程 2.学界和业界的经典资料收录 3.AI + 金融的相关工作，包括LLM, Agent, benchmark(evaluation), etc.
| Date | Stars |
|---|---|
| 2026-07-24 | 1578 |
| 2026-07-25 | 1580 |
| 2026-07-28 | 1580 |
| 2026-07-30 | 1580 |
| 2026-07-31 | 1599 |
| 2026-08-06 | 1599 |
Today
— stars today
This week
+19 stars this week
This month
— stars this month
Momentum
19.0
growth rate 1.20%/day
# 量化研究入门资料 (走过路过给个star！感谢朋友们)
目录：
- [基于多因子股票量化投研框架的开源教程](#基于多因子股票量化投研框架的开源教程)
- [我的资料](#section1)
- [AI+金融论文整理](#section-arxiv) 🆕
- [公开资料整理](#section2)
-----
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# AI + Finance arXiv Radar
站点已集成新的 `/arxiv/` Radar 子站，替换原有的旧版 arXiv 文档体验。
- 入口：VitePress `/arxiv/` 子区块
- 能力：论文列表、趋势图、语义检索、机构筛选、标签聚合
- 数据：`data/papers.json`、`data/stats.json`、`data/embeddings_index.json`
- 管线：`scripts/arxiv_radar/`
<!-- ARXIV_RADAR_STATUS:START -->
> [!NOTE]
> Machine-updated arXiv Radar Status
> - Latest update: 2026-03-08
> - Indexed papers: 962
> - Focus papers: 494
> - Latest publication date: 2026-03-05
> - Monitored categories: 10
<!-- ARXIV_RADAR_STATUS:END -->
如需刷新数据与 README 状态块，可运行：`npm run arxiv:update`
# 基于多因子股票量化投研框架的开源教程
- 本部分计划开源自湖南大学金融科技协会Quant Group的研究内容，框架（英文版）如下图
<div align="center">
<br>
<img src="./pic/image.png" alt="图片描述" style="width: 90%;">
<br> <br>
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- 湖南大学金融科技协会的详细介绍：https://www.guohaoqi.cn/hft-association ，欢迎关注我们
<a id="section1"></a>
# 我的资料
暂时包括：
- 量化金融、机器学习、数学参考书与资料📐
- 技术指标回测代码👨💻
- 卖方金工研报📈
- 投资者情绪与行为金融相关论文🎲
- [量化研究实习中的代码知识（比较杂乱）](https://github.com/Barca0412/Note-for-Programming)
- ...
待添加：
- 量化笔试、MFE刷题📕
- 组合优化🔢
- 机器学习因子挖掘💻
- ...
<a id="section2"></a>
# 公开资料整理
## [数据源与另类数据](./资料/数据源与另类数据.md)
- 点击跳转
## [回测框架相关](./资料/回测.md)
- 点击跳转
## [因子挖掘与评估](./资料/因子挖掘.md)
- 点击跳转
## [因子组合](https://xwfixqlhmsm.feishu.cn/wiki/PkCdw7MpKixStVkyIHwcTVhKngh?from=from_copylink)
- 点击跳转
## [投资组合优化与风控](./资料/投资组合优化与风控.md)
- 点击跳转
## [基金研究与FoF]()
- 点击跳转
## Quant项目
### 多因子量化框架
- [microsoft/qlib](https://github.com/microsoft/qlib) - AI导向量化投资平台，支持自动因子挖掘
- [etccapital/MultiFactor](https://github.com/etccapital/MultiFactor) - 基于华泰研报的多因子回测框架
- [HUANG-NI-YUAN/Multi-Factor_Model](https://github.com/HUANG-NI-YUAN/Multi-Factor_Model) - 15因子量化投资框架
### 回测框架
- [kernc/backtesting.py](https://github.com/kernc/backtesting.py) - 简洁高效Python回测库
- [polakowo/vectorbt](https://github.com/polakowo/vectorbt) - 极速向量化回测，支持大规模参数优化
- [stefan-jansen/zipline-reloaded](https://github.com/stefan-jansen/zipline-reloaded) - Quantopian事件驱动框架维护版
### 因子挖掘与机器学习
- [RndmVariableQ/AlphaAgent](https://github.com/RndmVariableQ/AlphaAgent) - KDD 2025 LLM驱动因子挖掘
- [nshen7/alpha-gfn](https://github.com/nshen7/alpha-gfn) - GFlowNet挖掘alpha因子
- [microsoft/RD-Agent](https://github.com/microsoft/RD-Agent) - 多Agent自动化R&D
### 投资组合优化
- [dcajasn/Riskfolio-Lib](https://github.com/dcajasn/Riskfolio-Lib) - 专业组合优化，24种风险度量
- [PyPortfolioOpt](https://pyportfolioopt.readthedocs.io) - 高效前沿、Black-Litterman
### 强化学习交易
- [AI4Finance-Foundation/FinRL](https://github.com/AI4Finance-Foundation/FinRL) - 开源金融强化学习框架
- [AI4Finance-Foundation/FinRL-Trading](https://github.com/AI4Finance-Foundation/FinRL-Trading) - 实盘交易v2.0
### 深度学习时序预测
- [gonzalopezgil/xlstm-ts](https://github.com/gonzalopezgil/xlstm-ts) - 扩展LSTM时间序列预测
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matched fp:5dce6727cb4dc4f8, topic:finance, topic:quantitative-finance, topic:trading