#28 · Primary category: Financial Data & Analytics Platforms

TradingAgents-astock

a-share ai-agent china-stocks claude fintech investment-research langgraph llm multi-agent python quantitative-finance trading-agents

A-share multi-agent investment research framework — 7 AI analysts, bull/bear debate, risk assessment。

Project last updated:08/19/26

GitHub Stars

3.1K

Forks

806

Contributors

9

License

Apache-2.0

Why we included this project

Stock-analysis agents are almost always built around US market assumptions, which leaves anyone working with China's A-shares to adapt them by hand. This fork takes TradingAgents' multi-agent debate setup and reworks it for mainland China: seven analysts argue bull and bear cases and weigh risk, and three of the roles are specific to this market, covering policy, hot-money flows, and share lockups. They pull free Chinese data from mootdx, East Money, Sina, and Tonghuashun instead of Yahoo Finance, and the framework enforces A-share rules like T+1 settlement, daily price limits, lot-size requirements, and ST-flag handling, so the reports reflect how the market actually trades. Output is in Chinese, while internal debate stays in English to keep reasoning quality. It's a research and teaching implementation, not a trading service, and the pip-install setup with zero external service dependencies makes it a practical base for building or studying A-share research pipelines.

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