Data & Research · GitHub ·675 ★

TradingAgents-astock

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。

Details

Author
simonlin1212
Category
Data & Research
Platform
GitHub
Framework
custom
Language
python
Stars
675
First indexed
2026-05-28
Last active
2026-05-25
Directory sync
2026-05-28

Overview

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。

Quick start

git

git clone https://github.com/simonlin1212/TradingAgents-astock

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What TradingAgents-astock can do

  • Analy — analy task automation.
  • Research — Searches sources and synthesises evidence-based answers.
  • Framework — framework task automation.

Frequently asked questions

What is TradingAgents-astock?
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。
How do I install TradingAgents-astock?
Use git: `git clone https://github.com/simonlin1212/TradingAgents-astock`. Full setup details on the source page linked above.
Is TradingAgents-astock open source?
TradingAgents-astock is published on GitHub.
What are alternatives to TradingAgents-astock?
Comparable agents include autoresearch, OpenBB, MinerU. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for TradingAgents-astock is sourced from GitHub, published by simonlin1212.

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