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。
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
5 releases in the last 90 days, the latest 17 days ago, with 11 contributors on GitHub.
Use Cases & Benefits
- Provides a multi-agent AI framework specialized for A-share stock market investment research with 7 distinct analyst roles and debate-driven decision making.
- Integrates multiple free Chinese A-share data sources and enforces A-share trading rules, enabling accurate, localized investment analysis without external dependencies.
- Use for building type-safe, multi-agent investment research pipelines tailored to the Chinese A-share market with real-time data integration.
- Use for developing AI-driven stock analysis tools that incorporate policy, hot money, and lockup monitoring specific to A-share market dynamics.
- Use for creating interactive web or CLI applications that generate comprehensive Chinese-language investment reports with bull/bear debates and risk assessments.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Apache 2.0
Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.
Community files
- README: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
基于 TauricResearch/TradingAgents（65K ⭐）的 A 股深度特化 fork
全 Apache 2.0 开源 · pip install 即跑 · 零外部服务依赖
⚠️ 免责声明：本项目仅供学习研究与技术演示，不构成任何投资建议。投资决策请咨询持牌专业机构。
原版 TradingAgents 是一个出色的多 Agent 投研框架，但它针对美股设计：数据走 Yahoo Finance / Alpha Vantage，分析师不懂 A 股制度，辩论和决策完全面向美股市场。
本 Fork 的目标：把 TradingAgents 的多 Agent 辩论架构真正落地到 A 股，不是简单翻译，而是从数据层、Agent 角色、交易规则三个维度做深度特化。
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
+1,089 stars over 84 days across 8 snapshot days; best day +12 on Sep 14.
Forks
963+229
Open issues
2-8
Compared with peers in AI Agents
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| vercel-labs/agent-desktop | 17.0K | +13.3K | 33 | today |
| thedotmack/claude-mem | 113.6K | +8.8K | 35 | today |
| stablyai/orca | 116.8K | +6.6K | 40 | today |
| milind-soni/OpenMausBot | 13.5K | +6.0K | 45 | today |
| HKUDS/DeepTutor | 55.5K | +5.5K | 65 | 5 days ago |
| simonlin1212/TradingAgents-astock | 3.8K | — | 33 | 17 days ago |
| Category median | 55.5K | +6.6K | 40 | — |
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