simonlin1212/TradingAgents-astock
A股多Agent投研框架 — 适配A股数据源(龙虎榜/游资/解禁等),7位分析师基于A股规则的辩论决策,基于TradingAgents深度改造,适配大A。A-share multi-agent investment research framework — 7 AI analysts, bull/bear debate, risk assessment。
About the project
A fork of TradingAgents tailored for China's A-share market: 7 AI analysts (including policy, hot money and lockup watchers) run bull/bear debates, risk assessment and produce investment conclusions on A-share data.
Useful for
- Run multi-agent research on a specific A-share with policy and capital-flow context.
- Assess position risk considering T+1, price limits and share lockup events.
- Launch the Streamlit Web UI for visual stock analysis.
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Why it’s trending
- 7 stars today.
- GitHub Trending Python today: #13, +15 stars.
Stars per day
Bars are daily stars, the line is the usual pace. Red marks spike days.
Numbers
- Total stars
- 3,302
- Stars in a day
- 7
- Forks
- 849
- Issues and pull requests
- 110
- Watchers
- 16
- Language
- Python
- License
- Apache-2.0
- Latest release
- v0.5.17 · September 5, 2026
- Created
- May 13, 2026
- Last push
- September 5, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Spotted in
- September 13, 2026GitHub Trending Python today: #13, +15 stars
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