Wavelet-Cointegration Breakout Engine

Family: breakout · Regime: trending · Complexity: high · Asset classes: FX Major Pairs, Gold (XAUUSD), US Equities (with SPY benchmark) · Timeframes: H1, H4

Thesis

Price breakouts of previous daily ranges are more likely to result in sustained trends when: 1) The macro US Dollar regime provides a tailwind (USDX), 2) High-frequency noise is removed through wavelet decomposition (DWT), and 3) The asset's relationship with a market benchmark (SPY) is statistically verified via cointegration, ensuring the move is part of a broader market shift rather than an idiosyncratic anomaly.

Components

Known failure conditions

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