trading-agents

config = DEFAULT_CONFIG.copy()
config["llm_provider"] = "openai"        # openai, google, anthropic, xai, openrouter, ollama
config["deep_think_llm"] = "gpt-5.2"     # 复杂推理模型
config["quick_think_llm"] = "gpt-5-mini" # 快速任务模型
config["max_debate_rounds"] = 2          # 辩论轮数
 
ta = TradingAgentsGraph(debug=True, config=config)
_, decision = ta.propagate("AAPL", "2024-05-10")

config["data_vendors"] = {
    "core_stock_apis": "yfinance",           # alpha_vantage, yfinance
    "technical_indicators": "yfinance",
    "fundamental_data": "yfinance",
    "news_data": "yfinance",
}

export OPENAI_API_KEY=...          # OpenAI
export GOOGLE_API_KEY=...          # Google
export ANTHROPIC_API_KEY=...       # Anthropic
export XAI_API_KEY=...             # xAI
export OPENROUTER_API_KEY=...      # OpenRouter
export ALPHA_VANTAGE_API_KEY=...   # Alpha Vantage

OPENAI_API_KEY=sk-...
ALPHA_VANTAGE_API_KEY=...

{
    "ticker": "NVDA",
    "date": "2024-05-10",
    "action": "BUY",
    "quantity": 100,
    "confidence": 0.75,
    "reasoning": "基本面强劲，AI 需求增长，技术面突破...",
    "risk_level": "MEDIUM",
    "target_price": 950.00,
    "stop_loss": 800.00
}

TradingAgents-OpenClaw-Skill/
├── __init__.py             # TradingAgentsSkill + CLI（多 engine 路由）
├── signals.py              # 本地技术信号引擎（无需 API key）
├── requirements.txt
├── tests/                  # pytest（合成数据，无网络）
├── example_usage.py        # 端到端示例
└── SKILL.md                # 本文件

tradingagents/              # pip install tradingagents 后可直接 import
├── agents/                 # 智能体定义
├── dataflows/              # 数据流
├── graph/                  # LangGraph 流程
└── default_config.py       # 默认配置

pip install -r requirements.txt
python __init__.py NVDA --engine signals

pip install tradingagents
export OPENAI_API_KEY=sk-...
# 若为本地 clone，可改用环境变量指向：
#   export TRADING_AGENTS_HOME=/path/to/TradingAgents-Official
python __init__.py NVDA --engine llm

用户：分析一下 NVDA 股票
助手：正在用 TradingAgents 多智能体框架分析 NVDA……
     [基本面分析师] 公司财务表现强劲
     [技术分析师] MACD 金叉，RSI 处于健康区间
     [风险管理] 波动性中等，建议控制仓位
     综合建议：BUY，目标价 $950，止损 $800

langgraph>=0.2.0
langchain>=0.3.0
openai>=1.0.0
google-generativeai>=0.8.0
anthropic>=0.40.0
yfinance>=0.2.40
alpha-vantage>=3.0.0
pandas>=2.0.0
numpy>=1.24.0
python-dotenv>=1.0.0