This is a multi-agent stock analysis system for China A-shares that coordinates 15 specialized AI analysts across five stages: raw data analysis, game theory positioning, bull/bear debates, trade execution, and risk control. You feed it a Chinese stock name or code like "贵州茅台" or "600519.SH" and get back structured buy/sell/hold recommendations with target prices, stop losses, and risk assessments. Analysis takes 1-5 minutes and covers technical charts, fundamentals, sentiment, smart money flows (northbound capital, institutional tracking), and macro economics. It's built for after-hours deep dives and position reviews, not real-time intraday trading. The skill extracts only the stock symbol and date from your conversation and sends those to the API, nothing else. You can use the hosted service or self-host the backend if you want full data control.

skills.sh installs
223
GitHub stars
895
last updated
Aug 21, 2026

Install

$ npx -y skills add kylinmountain/tradingagents-ashare --skill tradingagents-analysis --agent claude-code

Installs into .claude/skills of the current project.

Files

TradingAgents 多智能体 A 股投研分析

使用 TradingAgents API,让 15 名专业 AI 分析师对 A 股进行五阶段深度协作研判,输出结构化投资建议。

🎯 快速上手

直接对我说:

  • "帮我分析一下贵州茅台"
  • "宁德时代值得买入吗"
  • "分析一下 600519 的技术面"
  • "比亚迪最近资金流向怎么样"

我会调用 15 个 AI 分析师,从市场、技术、基本面、情绪、资金五个维度深度分析,给你专业的投资建议。


🤖 系统架构:五阶段 15 智能体

阶段智能体职责
1. 分析团队市场/新闻/情绪/基本面/宏观/聪明钱多维度原始数据解读
2. 博弈裁判博弈论管理者主力与散户预期差分析
3. 多空辩论多头/空头研究员 + 裁判对立观点激烈博弈
4. 执行决策交易员综合研判生成操作建议
5. 风险管控激进/中性/保守分析师 + 组合经理多维度风控审核

TradingAgents Multi-Agent Investment Research

Use the TradingAgents API to let 15 specialized AI analysts conduct deep, five-stage collaborative research on A-Share stocks, delivering structured trading recommendations.

🤖 System Architecture: 5 Stages · 15 Agents

Sponsors

Details

Repository
github.com/kylinmountain/tradingagents-ashare
Categories
AI & Agent Building, Finance & Trading, Game Development
First seen
Jun 3, 2026
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