GH Repository · 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。
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dockeragent-frameworkai-agentlanggrapha-sharechina-stocksquantitative-financeclaudefintechpythonllminvestment-researchmulti-agenttrading-agentsPython
An A-share (China market) multi-agent investment research framework built as a deep adaptation of TradingAgents. It runs seven AI analysts that follow A-share rules, hold bull/bear debates, and perform risk assessment, drawing on A-share-specific data sources such as dragon-tiger lists, hot-money flows, and share unlock schedules.
You want an LLM-driven multi-agent research pipeline already adapted to China A-share market rules and data sources instead of US-market assumptions.
Use it to
- Run seven-analyst bull/bear debates on A-share stocks
- Incorporate dragon-tiger list and hot-money data into research
- Factor share unlock events into risk assessment
- Extend an existing TradingAgents setup to China markets
For Quantitative researchers and developers focused on Chinese A-share markets
- Role
- agent-framework
- Language
- Python
- Licence
- Apache-2.0
- Forks
- 868
- Open issues
- 6
- Last push
- 2026-09-16
- Latest release
- v0.2.5 · 2026-05-17
topicsa-sharemulti-agentllmlanggraphquantitative-financeinvestment-research