TradingAgents-AShare

About TradingAgents-AShare

A 股多智能体智能投研系统 — 基于 TradingAgents 架构，15 名 AI Agent 模拟机构协作与实时辩论对抗，全流程可视化，支持 OpenClaw / Claude Code 集成，Docker 一键部署。

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Quick Facts

Stars	411
Forks	128
Language	Python
Category	Codex Skill
Quality Score	42.7/100
Open Issues	17
Last Updated	2026-05-22
Created	2026-03-02
Platforms	claude-code, docker, python
Est. Tokens	~647k

Compatible Skills

These tools work well together with TradingAgents-AShare for enhanced workflows:

safeclaw — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (58%)
FreeRide — semantic(0.37)+complementary+same_lang+similar_pop+shared_platform (58%)
yfinance-mcp — semantic(0.18)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)
decodo-openclaw-skill — semantic(0.29)+complementary+same_lang+similar_pop+shared_platform (55%)
openclaw-qa — semantic(0.26)+complementary+same_lang+similar_pop+shared_platform (54%)

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Frequently Asked Questions

What is TradingAgents-AShare?

TradingAgents-AShare is A 股多智能体智能投研系统 — 基于 TradingAgents 架构，15 名 AI Agent 模拟机构协作与实时辩论对抗，全流程可视化，支持 OpenClaw / Claude Code 集成，Docker 一键部署。. It is categorized as a Codex Skill with 411 GitHub stars.

What programming language is TradingAgents-AShare written in?

TradingAgents-AShare is primarily written in Python. It covers topics such as agents, ai, finance.

How do I install or use TradingAgents-AShare?

You can find installation instructions and usage details in the TradingAgents-AShare GitHub repository at github.com/KylinMountain/TradingAgents-AShare. The project has 411 stars and 128 forks, indicating an active community.

View on GitHub → Browse Codex Skill tools