TradingAgents-astock
A multi-Agent research and investment framework for A-shares, featuring 7 AI analysts debating decisions based on A-share market rules.
- Region
- Domestic
- Pricing
- Free
- Open source
- Yes
- GitHub Stars
- ★ 2.6k
- Views
- 23
- Source
- GitHub
- Added
- 2026-07-25
- Last verified
- 2026-07-25
Overview
TradingAgents-astock is a multi-Agent research and investment framework specifically designed for the A-share market. It is a deep customization of the original TradingAgents, adapted to A-share data sources and trading rules. The framework includes 7 AI analysts covering roles such as market analysis, sentiment, news, fundamentals, policy, speculative capital tracking, and share unlock monitoring. These analysts engage in multiple rounds of debate to generate investment reports, with final investment decisions made by the Portfolio Manager. The framework is suitable for research and teaching purposes and does not provide actual investment services.
Key features
- ▪7 AI analysts
- ▪A-share data source compatible
- ▪Multi-round debate decision-making
- ▪Fully Apache 2.0 open-source
Use cases
Pros
- ＋Comprehensive coverage of A-share specific features
- ＋Ready-to-use out-of-the-box
- ＋No external service dependencies
- ＋Supports Chinese report output
Limitations / notes
- －Requires internet access to fetch data
- －Higher learning curve
Who it's for
This overview was compiled by AI from public sources and may contain inaccuracies — please refer to the official site.
FAQ
Is it free?
Yes, it is fully open-source under the Apache 2.0 license and free to use.
Do I need scientific internet access?
No, all data sources are direct domestic free connections.
Does it support Chinese?
Yes, it supports outputting Chinese reports.
Can it be used commercially?
This project is intended for research and teaching purposes and does not constitute any investment advice.
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