trader-regime

v2026.09.24

Detect current market regime using npx neural-trader — bull/bear/ranging/volatile classification with recommended strategy. Use when the user asks about market conditions, wants to pick a strategy for current conditions, or before running a backtest/signal that should be regime-aware.

GitHub
Install command
npx skhub add ruvnet/trader-regime
Markdown
SKILL.md

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
  2. Run regime detection:
    npx neural-trader --regime-detect --symbol TICKER
    
    For multiple symbols:
    npx neural-trader --regime-detect --symbols "AAPL,MSFT,GOOGL,AMZN"
    
  3. Get technical indicators for context:
    npx neural-trader --symbol TICKER --indicators rsi,macd,bollinger,adx,atr
    
  4. Use SONA for regime prediction: mcp__plugin_ruflo-core_ruflo__neural_predict({ input: "indicators: RSI=X, ADX=Y, VIX=Z" })
  5. Search for similar historical regimes: mcp__plugin_ruflo-core_ruflo__memory_search({ query: "regime similar to CURRENT", namespace: "trading-analysis" })
  6. Present: regime classification, confidence, recommended strategy type, historical precedents
  7. Store analysis: mcp__plugin_ruflo-core_ruflo__memory_store({ key: "regime-DATE", value: "REGIME_ANALYSIS", namespace: "trading-analysis" })
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Version
Latest version metadata

Version

v2026.09.24

Published

Sep 24, 2026

Category

Uncategorized

License

MIT

Source path

plugins/ruflo-neural-trader/skills/trader-regime

Default branch

main

Latest commit

0a96fb8

Tree SHA

f154406