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。
Use a framework to research and analyze stock data in the Chinese market with multiple AI agents.
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Free · no card · unsubscribe anytimeA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。
TradingAgents-astock has 2.7k stars on GitHub. It has been forked 709 times. TradingAgents-astock is written mainly in Python. It has been in active development since 2026. TradingAgents-astock is available under the Apache-2.0 license. Its main topics are a-share, ai-agent, china-stocks, claude.
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。
TradingAgents-astock is an open-source project. It is released under the Apache-2.0 license.
Yes. TradingAgents-astock is free and open source — you can use, modify and self-host it.
TradingAgents-astock is available under the Apache-2.0 license.
TradingAgents-astock is written mainly in Python.
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Measured from GitHub topics shared by both projects, weighted by how rare each topic is.