tradingagents-analysis
A股多智能体 AI 投研分析工具 — 15 名 AI 分析师协作完成技术分析、基本面分析、 市场情绪研判、资金流向追踪（北向资金/主力资金）、宏观经济分析及博弈论推演， 输出结构化买卖建议与风险评估。支持沪深 A 股股票代码和中文名称。 Multi-agent AI stock analysis for China A-shares. 15 specialized analysts collaborate across technical analysis, fundamental analysis, sentiment analysis, smart money flow tracking, macro economics, and game theory to deliver structured buy/sell/hold recommendations with risk assessment.
npx skills add KylinMountain/TradingAgents-AShare --skill tradingagents-analysis --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 | Stage | Agents | Role | |-------|--------|------| | 1. Analyst Team | Market / News / Sentiment / Fundamentals / Macro / Smart Money | Multi-dimensional raw data analysis | | 2. Game Theory | Game Theory Manager | Main-force vs. retail expectation gap | | 3. Bull/Bear Debate | Bull & Bear Researchers + Judge | Adversarial viewpoint debate | | 4. Trade Execution | Trader | Synthesize research into actionable deci
- 🎯 快速上手
- 🤖 系统架构：五阶段 15 智能体
- 🤖 System Architecture: 5 Stages · 15 Agents
- 📋 适用场景
- 🔒 隐私与安全
- 🔒 Privacy & Data Transmission
- ⚙️ 快速配置
- 🚀 常用操作
- 📊 示例输出
- 🔄 任务执行流程
- 📌 支持标的范围
- 💡 注意事项
export TRADINGAGENTS_TOKEN="ta-sk-your_key_here"
export TRADINGAGENTS_API_URL="http://your-server:8000"
bash scripts/analyze.sh <symbol[,symbol2,...]> [trade_date] [horizons]
bash scripts/analyze.sh 贵州茅台
bash scripts/analyze.sh 600519.SH 2026-03-22
bash scripts/analyze.sh 600519.SH 2026-03-22 medium
bash scripts/analyze.sh 贵州茅台,比亚迪,宁德时代
bash scripts/analyze.sh 600519.SH,002594.SZ,300750.SZ 2026-03-22
curl -X POST "${TRADINGAGENTS_API_URL:-https://api.510168.xyz}/v1/analyze" \
curl "${TRADINGAGENTS_API_URL:-https://api.510168.xyz}/v1/jobs/{job_id}" \What does the tradingagents-analysis skill do?
A股多智能体 AI 投研分析工具 — 15 名 AI 分析师协作完成技术分析、基本面分析、 市场情绪研判、资金流向追踪（北向资金/主力资金）、宏观经济分析及博弈论推演， 输出结构化买卖建议与风险评估。支持沪深 A 股股票代码和中文名称。 Multi-agent AI stock analysis for China A-shares. 15 specialized analysts collaborate across technical analysis, fundamental analysis, sentiment analysis, smart money flow tracking, macro economics, and game theory to deliver structured buy/sell/hold recommendations with risk assessment.
How do I install it?
Run `npx skills add KylinMountain/TradingAgents-AShare --skill tradingagents-analysis --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From KylinMountain/TradingAgents-AShare, a repository with 747 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.