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trader-regime

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Original

English
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Translation

Chinese
Detect the current market regime using neural-trader's regime detection engine.
Steps:
  1. Ensure neural-trader is available: 
    npm ls neural-trader 2>/dev/null || npm install neural-trader
  2. Run regime detection:
    bash
    npx neural-trader --regime-detect --symbol TICKER
    For multiple symbols:
    bash
    npx neural-trader --regime-detect --symbols "AAPL,MSFT,GOOGL,AMZN"
  3. Get technical indicators for context:
    bash
    npx neural-trader --symbol TICKER --indicators rsi,macd,bollinger,adx,atr
  4. Use SONA for regime prediction: 
    mcp__claude-flow__neural_predict({ input: "indicators: RSI=X, ADX=Y, VIX=Z" })
  5. Search for similar historical regimes: 
    mcp__claude-flow__memory_search({ query: "regime similar to CURRENT", namespace: "trading-analysis" })
  6. Present: regime classification, confidence, recommended strategy type, historical precedents
  7. Store analysis: 
    mcp__claude-flow__memory_store({ key: "regime-DATE", value: "REGIME_ANALYSIS", namespace: "trading-analysis" })
利用neural-trader的状态检测引擎检测当前市场状态。
步骤：
  1. 确保neural-trader可用： 
    npm ls neural-trader 2>/dev/null || npm install neural-trader
  2. 运行状态检测：
    bash
    npx neural-trader --regime-detect --symbol TICKER
    针对多个标的：
    bash
    npx neural-trader --regime-detect --symbols "AAPL,MSFT,GOOGL,AMZN"
  3. 获取用于参考的技术指标：
    bash
    npx neural-trader --symbol TICKER --indicators rsi,macd,bollinger,adx,atr
  4. 使用SONA进行状态预测： 
    mcp__claude-flow__neural_predict({ input: "indicators: RSI=X, ADX=Y, VIX=Z" })
  5. 搜索相似的历史市场状态： 
    mcp__claude-flow__memory_search({ query: "regime similar to CURRENT", namespace: "trading-analysis" })
  6. 输出内容：状态分类、置信度、推荐策略类型、历史先例
  7. 存储分析结果： 
    mcp__claude-flow__memory_store({ key: "regime-DATE", value: "REGIME_ANALYSIS", namespace: "trading-analysis" })