GitHub Open Source Insight
Computed at Sep 11, 2026GitHub repo leaderboard by stars, growth rate and activity.
microsoft
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
Python48,469 starslast pushed 1 week agovnpy
stefan-jansen
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
Jupyter Notebook20,862 starslast pushed 1 hour agoxbtlin
AI 时代的伯克希尔：基于 Claude Code / Codex 的价值投资研究框架。巴菲特·芒格·段永平·李录四大师方法论 + 多Agent并行研究。| AI-era Berkshire: a value investing research framework built for Claude Code / Codex. 4 masters' methodologies + multi-agent adversarial analysis.
HTML16,281 starslast pushed 3 days agoValueCell-ai
ValueCell is a community-driven, multi-agent platform for financial applications.
Python11,006 starslast pushed 6 months agoblankly-finance
🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.
Python2,475 starslast pushed 2 years agofremantle-industries
A composable, real time, market data and trade execution toolkit. Built with Elixir, runs on the Erlang virtual machine
Elixir498 starslast pushed 2 years agoZLZY-zlzy
面向 VC/PE 投资人的 AI 调研工作体系：7 步流水线 × 三方案（A 企业 / B 行业技术 / C 混合）+ 9 项执行规范 + 8 套模板 + 工具脚本 + 5 个真实案例与长期记忆库，让「看公司、看行业、看赛道」从凭经验变成按流程
Shell71 starslast pushed 1 week ago
| # | Repo | Language | Stars | 30-day trend | Last updated |
|---|---|---|---|---|---|
| 1 | microsoft Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process. | Python | 48,469 | last pushed 1 week ago | |
| 2 | vnpy 基于Python的开源量化交易平台开发框架 | Python | 45,326 | last pushed 1 week ago | |
| 3 | stefan-jansen Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution. | Jupyter Notebook | 20,862 | last pushed 1 hour ago | |
| 4 | xbtlin AI 时代的伯克希尔：基于 Claude Code / Codex 的价值投资研究框架。巴菲特·芒格·段永平·李录四大师方法论 + 多Agent并行研究。| AI-era Berkshire: a value investing research framework built for Claude Code / Codex. 4 masters' methodologies + multi-agent adversarial analysis. | HTML | 16,281 | last pushed 3 days ago | |
| 5 | ValueCell-ai ValueCell is a community-driven, multi-agent platform for financial applications. | Python | 11,006 | last pushed 6 months ago | |
| 6 | blankly-finance 🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package. | Python | 2,475 | last pushed 2 years ago | |
| 7 | fremantle-industries A composable, real time, market data and trade execution toolkit. Built with Elixir, runs on the Erlang virtual machine | Elixir | 498 | last pushed 2 years ago | |
| 8 | ZLZY-zlzy 面向 VC/PE 投资人的 AI 调研工作体系：7 步流水线 × 三方案（A 企业 / B 行业技术 / C 混合）+ 9 项执行规范 + 8 套模板 + 工具脚本 + 5 个真实案例与长期记忆库，让「看公司、看行业、看赛道」从凭经验变成按流程 | Shell | 71 | last pushed 1 week ago |
All · 11,658