Wavelet-MESA Cycle Breakout Strategy

Family: hybrid · Regime: trending · Complexity: high · Asset classes: FX, Equities, Crypto · Timeframes: H1, H4, D1

Thesis

Market inefficiency exists in the overlap between macro trend regimes and micro cyclic corrections. By using Discrete Wavelet Transforms to isolate the macro trend and Ehlers MESA Stochastic to time the re-entry after noise-filtered corrections, we can enter high-probability breakouts confirmed by multi-factor momentum dashboards. The edge is maintained by using volatility-smoothed (Heiken Ashi) risk parameters and equilibrium-based (Ichimoku) exits.

Components

Known failure conditions

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).


Open the interactive page on WOBR AI → · WOBR.AI home