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tradingagents-astock-multi-agent-framework

Analyze Chinese A-shares with a seven-analyst multi-agent framework for trading decisions.

2|1|Updated May 16, 2026
Search Tags:#llm#multi-agent#analyze#risk#stock#a-share
One-click install
npx skills add https://github.com/Aradotso/ai-agent-skills --skill tradingagents-astock-multi-agent-framework
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: tradingagents-astock-multi-agent-framework
Source: https://github.com/Aradotso/ai-agent-skills/tree/main/skills/tradingagents-astock-multi-agent-framework
Command: npx skills add https://github.com/Aradotso/ai-agent-skills --skill tradingagents-astock-multi-agent-framework

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Chinese A-share market research is complex and time-consuming, requiring coordinated insights from multiple analyses to produce reliable trading decisions.

Core Features & Use Cases

  • 7 specialized AI analysts generate comprehensive market reports, debates, and risk assessments for A-shares.
  • Bull/bear debates and 3-way risk views improve decision robustness and scenario planning.
  • Supports data sources tailored for Chinese markets (Mootdx, EastMoney, Sina, THS) and enforces A-share trading constraints.
  • Web UI and CLI enable both batch and single-stock analysis with progress tracking and report synthesis.

Quick Start

Invoke the CLI with a stock ticker and date to generate a trading decision.

Frequently Asked Questions about tradingagents-astock-multi-agent-framework

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze Chinese A-shares using a multi-agent LLM framework?▼

You can analyze Chinese A-shares by invoking the multi-agent framework via CLI or Web UI with a stock ticker and date. Seven specialized AI analysts then generate comprehensive market reports, debates, and actionable trading decisions.

What data sources work with multi-agent stock research for the Chinese market?▼

Multi-agent stock research for the Chinese market works with free data sources like mootdx, EastMoney, Sina, and THS. These sources provide the necessary market data for the analysts to evaluate stock selection and risk.

Does this A-share analysis tool enforce Chinese market trading constraints?▼

Yes, this A-share analysis tool enforces Chinese market trading constraints including T+1 settlement, price limits, and minimum lots. This ensures generated trading decisions and execution plans are valid.

How does the multi-agent framework handle risk assessment for stock selection?▼

Risk assessment for stock selection is handled through bull/bear debates and 3-way risk views among the agents. This multi-agent debate structure improves decision robustness and scenario planning.

Can I run batch stock analysis with LLM agents for multiple A-share tickers?▼

Yes, you can run batch stock analysis with LLM agents for multiple A-share tickers using the Web UI and CLI interfaces. Both support batch and single-stock analysis with progress tracking and report synthesis.

What is the difference between quick_think and deep_think in LLM stock analysis?▼

In LLM stock analysis, the dual-LLM architecture uses quick_think for fast processing and deep_think for complex reasoning. This modular pipeline of analysts, researchers, and risk debaters ensures comprehensive market evaluation.

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