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ruvnet / trader-regime

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.

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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:
    `bash
    npx neural-trader --regime --symbol TICKER
    `
    One symbol per call (--regime-detect and --symbols are not recognised; the CLI answers "Unknown command"). In 2.8.11 this classifies a built-in sample price series (the result says "Synthetic prices used for demo"), so it is a demo of the output shape, not a read on TICKER. Say so in the report. For a real read, get the symbol's bars with --backtest --live (dataSource: "yahoo-finance") and classify from those.

  3. Technical indicators have no standalone CLI flag in 2.8.11 (--indicators is rejected). Use the nt.calculateRsi / nt.calculateSma library functions on real bars, or the multi-indicator strategy inside a backtest.

  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. If step 2 returned the synthetic sample, present only the output shape and state that no regime was measured.

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