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trader-regime

trader-regime

github.com/ruvnetData & databases80.0k731 installsUpdated today
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About trader-regime

A skill for using neural-trader to classify current market regimes, add technical-indicator context, and retain analysis for later reference. It is aimed at trading analysis across one or more symbols.

Key features

  1. 01Detect regimes for one or multiple symbols
  2. 02Retrieve technical indicators for context
  3. 03Predict regimes with SONA
  4. 04Search and store historical analysis

Use cases

  1. 01Classify a ticker’s current market regime
  2. 02Compare a regime with historical examples
  3. 03Record regime analysis for later reference

MCP support

Uses Ruflo neural prediction and memory search/store tools to predict regimes, find similar historical cases, and save analysis.

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/ruvnet/ruflo --skill trader-regime

After installing, type/trader-regimein Claude Code to confirm it loaded.

Details

From the project README

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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