Lorentzian-Wavelet Confluence Engine

Family: trend_following · Regime: trending · Complexity: high · Asset classes: Equities, Crypto, Forex · Timeframes: 1H, 4H, Daily

Thesis

Market trends exhibit 'fractal momentum' where high-confluence technical signals (IAE) align with historical price geometry (Lorentzian) and non-linear trend intensity (TTF). By filtering out high-frequency noise using the Discrete Wavelet Transform and sizing positions based on Median Absolute Error (MdAE), we can isolate momentum clusters that have a higher probability of persistence than standard indicator crossovers.

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