claude-skill

TradingAgents-astock: Boost A‑share Research with 7 AI Analysts

Leverage a multi‑agent framework tailored to Chinese A‑share data, where seven AI analysts debate bullish and bearish signals and assess risk—ideal for fintech founders. 3.6k+ GitHub stars.

From the repo · “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。”

3,757 stars+48★ this week944 forksPythonGuide quality 9/10 · reviewed Oct 9Updated 10/11/2026100% free · open source
What it does

TradingAgents-astock is a Python framework that enables multi-agent investment research and decision-making for A-share markets using a combination of data analysis and AI-driven debate among 7 virtual analysts.

When to use it
  • •When you need to analyze A-share market data and make informed investment decisions
  • •When you want to simulate the decision-making process of multiple analysts with different perspectives
  • •When you need to assess risks and opportunities in the A-share market
Ready-to-paste prompt
python run.py --data-source=dragon_tiger --debate-rounds=5 --output-file=output.csv
Heads up: Make sure you have the required dependencies, including `pandas`, `numpy`, and `matplotlib`, and that your Python version is compatible with the framework (currently supports Python 3.8 and 3.9)
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

⚡ Runs out of the box

A prompt/skill package — nothing to install beyond adding it to your AI tool.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/tradingagents-astock && curl -fsSL https://workflowstacks.com/api/skills/tradingagents-astock/claude-skill -o ~/.claude/skills/tradingagents-astock/SKILL.md
Open in another AI app

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Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

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How TradingAgents-astock: Boost A‑share Research with 7 AI Analysts works
Codeflow
Free to inspect

TradingAgents-astock: Boost A‑share Research with 7 AI Analysts is a large Python project (~18k lines across 91 code files, plus 40 test files). Setup is light: runs with Docker — add your API keys to .env. Last commit this month, Apache-2.0 license, has a test suite.

Size
Large codebase
~18k lines · 91 code files · ~2 h to skim
Setup
Light setup
Runs with Docker — add your API keys to .env.
Runs on
Python · Docker
Needs API keys (.env)
Python 100%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    CLAUDE.md
    The instructions the AI actually follows
  3. 3
    main.py
    Where the program starts running
  4. 4
    pyproject.toml
    Dependencies and the commands it exposes
  5. 5
    .env.example
    The API keys and settings you must provide
What's in each folder
web/Frontend / UI12 files
cli/Command-line entry points8 files
examples/Examples you can copy1 files
tradingagents/Folder67 files
issues/Folder5 files
scripts/Helper scripts1 files
tests/Tests — proof it works40 files
assets/Images & static assets11 files
READMEHas testsDocumentedNo CIDocker readyExamples includedApache-2.0 licenseUpdated this month
Quick Actions
Details
Creator
simonlin1212
Language
Python
Category
claude-skill
Published
5/13/2026

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Featured on WorkflowStacks
[![Featured on WorkflowStacks](https://workflowstacks.com/api/badge/tradingagents-astock.svg)](https://workflowstacks.com/skills/tradingagents-astock?utm_source=github&utm_medium=badge)
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