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
- 01Detect regimes for one or multiple symbols
- 02Retrieve technical indicators for context
- 03Predict regimes with SONA
- 04Search and store historical analysis
Use cases
- 01Classify a ticker’s current market regime
- 02Compare a regime with historical examples
- 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-regimeAfter installing, type/trader-regimein Claude Code to confirm it loaded.
Details
From the project READMEDetect the current market regime using neural-trader's regime detection engine.
Steps:
- Ensure neural-trader is available:
npm ls neural-trader 2>/dev/null || npm install --ignore-scripts neural-trader - Run regime detection:
For multiple symbols:npx neural-trader --regime-detect --symbol TICKERnpx neural-trader --regime-detect --symbols "AAPL,MSFT,GOOGL,AMZN" - Get technical indicators for context:
npx neural-trader --symbol TICKER --indicators rsi,macd,bollinger,adx,atr - Use SONA for regime prediction:
mcp__plugin_ruflo-core_ruflo__neural_predict({ input: "indicators: RSI=X, ADX=Y, VIX=Z" }) - Search for similar historical regimes:
mcp__plugin_ruflo-core_ruflo__memory_search({ query: "regime similar to CURRENT", namespace: "trading-analysis" }) - Present: regime classification, confidence, recommended strategy type, historical precedents
- Store analysis:
mcp__plugin_ruflo-core_ruflo__memory_store({ key: "regime-DATE", value: "REGIME_ANALYSIS", namespace: "trading-analysis" })
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