Jurik-Volumatic Adaptive Trend Follower

Family: trend_following · Regime: trending · Complexity: high · Asset classes: FX, Equities, Crypto · Timeframes: M15, H1

Thesis

The hypothesis is that institutional volume clusters (Volumatic S/R) act as magnets or floor/ceiling levels only when the broader market (MTF Heatmap) is aligned. By using Jurik-adaptive filters, we can distinguish between 'noise' levels and those that will lead to a trending breakout, using the McGinley Dynamic's non-linear lag to maximize capture of the resulting move.

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