Fisher Momentum Fractal Trend Filter

Family: trend_following · Regime: trending · Complexity: medium · Asset classes: Forex, Indices · Timeframes: M15, M30, H1

Thesis

This strategy operates on the hypothesis that price trends exhibit cyclical momentum peaks that can be identified via Fisher transformations before a structural trend reversal occurs. By aligning a higher-timeframe regime filter (Dashboard) with a medium-term trend filter (HiLo), we isolate high-probability momentum bursts (MACD) and exit at the first sign of cyclical exhaustion (Fisher), thereby avoiding the 'late exit' trap of traditional trend-following systems.

Components

• ProfitRobots Dashboard Template (regime) — Filters for global trend alignment across higher timeframes to ensure trades are taken in the direction of structural flow.
• HiLo Activator (Pandini Version) (direction) — Acts as a medium-term directional filter on the execution timeframe, ensuring price is trading above/below the high/low moving average envelope.
• MACD (entry) — Provides the specific momentum trigger via signal line crossovers, timing the entry into an established trend.
• Fisher-based Scalping Indicator (exit) — Identifies momentum exhaustion through cyclical turning points, allowing for exits before a full trend reversal occurs.
• Williams Fractals (risk) — Provides objective, market-structure-based levels for stop-loss placement and position sizing, accounting for the 2-bar confirmation lag.

Known failure conditions

• Prolonged periods of low-volatility 'barbed wire' price action where HiLo Activator flips every 2-3 bars.
• Sudden V-shaped reversals that trigger Fisher-based exits at a loss while MACD remains in a trend-following state.

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