Dynamic Spike-Regime Hybrid

Family: volatility · Regime: trending · Complexity: high · Asset classes: Forex, Indices (Boom/Crash), Crypto · Timeframes: H1, M15 (for Boom/Crash)

Thesis

The hypothesis is that persistent price moves are preceded by a 'spike' in volume and volatility that breaks through established Smart Money pivot zones. By filtering these spikes with an adaptive trend line (McGinley Dynamic) that accounts for price speed, we can isolate institutional 'impulses' and ride the trend until price reverts to its periodic median (Donchian Basis), suggesting the momentum has exhausted.

Components

• McGinley Dynamic (regime) — Acts as the primary trend filter to ensure trades are only taken in the direction of the adaptive trend, reducing whipsaws in ranging markets.
• Custom 006 Hybrid Table Scanner (direction) — Provides a secondary confluence by requiring volume-backed momentum (EMA cross + Volume surge) before a trade is considered valid.
• GOM KOLA SIDO — Full Integration (entry) — The execution engine. It identifies specific volatility 'spikes' and Supertrend direction changes within Smart Money zones.
• Donchian Channels (DC) (exit) — Used as a structural trailing exit; the basis line (midpoint) represents a return to mean volatility, signaling the end of the momentum impulse.
• Average True Range (NNFX) (risk) — Provides a volatility-adjusted stop loss and position sizing, ensuring risk is normalized across different market environments.

Known failure conditions

• Prolonged low-volatility 'grinds' where the Spike Entry threshold (0.65) is never reached despite trending price.
• High-frequency oscillation around the McGinley Dynamic line during flat regimes.
• Donchian Basis trailing stops being triggered prematurely by minor noise in high-ATR environments.

Explore the full interactive blueprint with parameter ranges and evidence on WOBR StrategyVerse, or generate this strategy as an MT4/MT5 Expert Advisor with QuantMogul AI Engine (free download).