Matrix-Filtered Frankenstein Trend system

Family: trend_following · Regime: trending · Complexity: high · Asset classes: FX, Equities, Indices · Timeframes: H1, H4

Thesis

This strategy operates on the hypothesis that sustainable trends occur when market participation is 'stable' (measured by low Matrix Shape churn) and momentum expands from a structural base. The edge exists because the Matrix Shape filter identifies periods of low algorithmic fragmentation, while the Frankenstein TEMA/LSMA combination captures high-probability breakout momentum that aligns with a multi-timeframe SMA hierarchy. Fractal-based stops ensure we only stay in trades as long as the immediate market structure remains intact.

Components

Known failure conditions

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.


Open in the WOBR AI app → · WOBR.AI home