ATOM Logit Regime-Filtered SMC Strategy

Family: hybrid · Regime: low_vol · Complexity: high · Asset classes: Crypto (ATOMUSDT), Volatility Indices (VIX/VIX3M) · Timeframes: 15m

Thesis

Altcoin-specific predictive models (Logit) often fail when the broader market enters a 'correlated' regime driven by fear. By using the VIX Curve (VIX/VIX3M) as a filter for contango (stability), we isolate periods where idiosyncratic market structure shifts (CHoCH) and price momentum in ATOM are likely to lead to sustained trends. The edge lies in avoiding the high-noise environment of market stress where altcoins revert to high-beta clones of Bitcoin.

Components

• VIX Curve Regime (Simple) (regime) — Acts as the primary volatility filter; idiosyncratic altcoin momentum is suppressed during VIX backwardation (Ratio > 1.0).
• Momentum (direction) — Ensures the trade aligns with the immediate trend direction to avoid 'catching knives' despite logit predictions.
• ATOM Coefficient Indicator (logit) (entry) — The primary predictive engine using market structure and price features to provide a directional probability score.
• Stochastic Oscillator (exit) — Provides a mean-reversion signal to capture exits when local momentum reaches exhaustion.
• Macro Risk Dashboard v8.2 (risk) — Determines capital allocation and dynamic stop-loss distance based on cross-market stress levels.
• BOS_CHoCH_Detector (confirmation) — Confirms that the logit entry aligns with a valid shift in local market structure (Break of Structure).

Known failure conditions

• VIX Curve remains in persistent backwardation (>1.0) during high-volatility price discovery.
• Macro Risk Dashboard reports high Z-scores across all liquidity and credit sectors simultaneously (systemic collapse).
• ATOMUSDT correlation to BTC rises above 0.95, neutralizing the idiosyncratic logit model's edge.

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