Fourier-NNFX Harmonic Volatility Release

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

Thesis

This strategy exploits the transition from low-volatility 'squeezes' to high-volatility expansions. The edge lies in using John Ehlers' Fourier Series to decompose price action into its dominant harmonics, identifying the start of a cyclical expansion during a trend release. By confirming this with the Accumulation Swing Index (a 'true' price index) and scaling risk inversely to the Volatility Ratio, the strategy aims to enter trends at the peak of cyclical momentum while protecting capital against the erratic noise that typically accompanies high-volatility breakouts.

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