技能 数据科学 市场环境检测与策略推荐

市场环境检测与策略推荐

v20260716
trader-regime
该工具利用神经模型检测当前的市场环境(牛市、熊市、震荡或波动),提供准确的市场结构分类和推荐的交易策略。适用于进行市场条件分析、交易策略制定或准备回测分析。
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概览

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 --ignore-scripts neural-trader

  1. 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"
```

  1. Get technical indicators for context:

```bash
npx neural-trader --symbol TICKER --indicators rsi,macd,bollinger,adx,atr
```

  1. Use SONA for regime prediction:

mcp__plugin_ruflo-core_ruflo__neural_predict({ input: "indicators: RSI=X, ADX=Y, VIX=Z" })

  1. Search for similar historical regimes:

mcp__plugin_ruflo-core_ruflo__memory_search({ query: "regime similar to CURRENT", namespace: "trading-analysis" })

  1. Present: regime classification, confidence, recommended strategy type, historical precedents
  2. Store analysis:

mcp__plugin_ruflo-core_ruflo__memory_store({ key: "regime-DATE", value: "REGIME_ANALYSIS", namespace: "trading-analysis" })

信息
分类 数据科学
名称 trader-regime
版本 v20260716
大小 1.59KB
更新时间 2026-07-18
语言