Fractal-Momentum Pulse Grid Strategy

Family: breakout · Regime: trending · Complexity: medium · Asset classes: FX Major Pairs, Equity Indices (DAX, US30) · Timeframes: M1, M5

Thesis

Price breaches of historical asymmetric fractals (liquidity pools) are more likely to result in sustained trends if the breakout is accompanied by a 'momentum pulse' (rapid point change over a multi-second window), suggesting high institutional participation.

Components

• Unsupported array.sum UDT method (regime) — The failure to aggregate complex UDT data points suggests that market structure should be treated as discrete horizontal levels rather than a continuous average; it acts as a 'complexity filter' where we prioritize individual price action over-aggregated modeling.
• Supported plot Input Show Last (direction) — Ensures the entry is aligned with the most recent short-term trend bias, filtering out trades that oppose immediate price direction.
• Mn Fractal Store (entry) — Identifies structural pivot peaks and troughs; breakouts of these levels signal potential trend shifts or continuations.
• TopTrend (BBands Stop) (exit) — Provides a volatility-adjusted trailing stop that locks in profits while allowing the trade room to breathe based on Bollinger Band width.
• Point Based Grid (risk) — Determines the mechanical stop-loss distance and position sizing based on fixed point intervals rather than indicator-based lag.
• Flexible Momentum (confirmation) — Confirms fractal breakouts by ensuring a burst of tick-level momentum occurs within a tight temporal window (10 seconds), reducing false breakouts.

Known failure conditions

• Price remains within a range smaller than the Point Based Grid (InpP1) for extended periods.
• Broker tick latency exceeds the 10-second momentum window, leading to stale signals.
• Frequent repainting of fractal levels in low-volatility environments creates multiple false entry triggers.

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