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hsliuping/TradingAgents-CN
Multi-agent LLM research assistant for Chinese A-shares
What it is
A Python-based multi-agent stock research framework for the Chinese A-share market, built on LLM agents that role-play analysts and researchers in debate-style analysis. It supports single-stock research, natural-language stock screening across thousands of listed stocks, paper trading, AI memory, and a learning center with free courses. Developers and students exploring multi-agent LLM applications in equity research are its main audience. The core engine is open source under Apache-2.0 while the application layer is proprietary, all output is for learning and research only rather than investment advice, and the stack requires self-hosted MongoDB and Redis.
At a glance
RecommendedOur rating, based on popularity, maintenance and how ready it is for real use.
| Best for | Developers |
|---|---|
| Used for | Strategy research, AI agents |
| Markets | China A-shares, Multi-market |
| Stack | Python |
| Learning curve | Moderate learning curve |
| Practical value | High practical value |
| Cost | Free and open source |
| Hardware | No GPU needed |
| Maintenance | Last commit 19 days ago |
GitHub stars, last 30 days
Daily snapshots since 2026-09-12 (up to 30 days): +503 over the period, now 32,238. Gaps mean no snapshot was taken that day.
基于多智能体LLM的中文金融交易框架 - TradingAgents中文增强版
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