Skills Data Science Market Regime Detection and Strategy Recommendation

Market Regime Detection and Strategy Recommendation

v20260716
trader-regime
A comprehensive tool for analyzing the current market regime (bull, bear, ranging, volatile) using advanced neural models. It detects the prevailing market structure, provides a confidence score, and recommends suitable trading strategies. Ideal for market analysis, backtesting preparation, or general market condition inquiries.
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Overview

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" })

Info
Category Data Science
Name trader-regime
Version v20260716
Size 1.59KB
Updated At 2026-07-18
Language