# astock-trading-agents

> astock-trading-agents — 2033121-astock-trading-agents. Use this tool when you need to automate A-share trading decisions with a multi-agent framework, solving problems of inefficient trading strategies and manual decision-making. It provides a LangGraph-based analysis interface, accepting market data and trading goals as inputs, and outputs optimized trading decisions. Ideal for use cases requiring quantitative trading, token optimization, and reflection loop analysis in A-share markets.

Canonical page: https://skillsregistry.net/skills/2033121-astock-trading-agents  
JSON: https://api.skillsregistry.net/v1/skills/2033121-astock-trading-agents

## Description

A股多Agent量化交易决策框架 — LangGraph 15位AI分析师辩论式分析，反思闭环+Token优化，支持DeepSeek/Qwen/GLM，附零依赖MCP server | Multi-agent A-share trading framework with reflection loop & MCP server

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/2033121/astock-trading-agents)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "2033121-astock-trading-agents"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/2033121-astock-trading-agents` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/2033121-astock-trading-agents/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt