simonlin1212/TradingAgents-astock Python
A-share multi-agent investment and research framework — adapted to A-share data sources (dragon and tiger list/tourist capital/unblocking, etc.), 7 analysts based on A-share rules debating decisions, based on TradingAgents deep transformation, adapted to large A-share. A-share multi-agent investment research framework — 7 AI analysts, bull/bear debate, risk assessment.
🌐 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。
Why It Is Worth Watching
From the project description, tags, and public data, it is worth looking at simonlin1212/TradingAgents-astock first. It solves problems around the needs of cutting AI applications, agents, or large model tool chains, mainly using Python. The most direct information in the project description is: "A-share multi-agent investment and research framework — adapted to A-share data sources (Dragon and Tiger List/Tourist Funds/Unblocking, etc.). Seven analysts based on A-share rules debating decisions, based on TradingAgents deep transformation, adapted to large A-share. A-share multi-agent investment r…”. I will put it in the observation list not because of the Star number itself, but because its direction and recent popularity intersect: about 28 Stars were added in the recent day, and the attention accumulated by 2026-05-25, 658 Stars and 206 Fork were recently updated; the most recent code update was 2026-05-25, and this statistic added about 28 Stars relative to the historical benchmark. If it can continue to grow in the next few days, at the same time, Issue, PR, and submission records are also relatively active, indicating that it may not only be a wave of forwarded for a short time, but actually stepped on the recent needs of developers. It is more suitable for AI product developers, independent developers and large model landing teams, especially those who are doing technology selection, looking for alternatives, observing new directions, or want to quickly judge
📈 Trend History (6 points)
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