Zen-Wavelet Structural Breakout Strategy
Family: hybrid · Regime: trending · Complexity: high · Asset classes: Equities, Forex, Crypto · Timeframes: M15, H1, H4
Thesis
Market structure 'hubs' (Zhongshu) represent institutional consolidation. An edge exists when entering on the 2nd or 3rd 'Buy/Sell' signals from Chan Lun because these points represent high-probability structural breaks or pullbacks. By further filtering these signals with a Discrete Wavelet Transform (to ensure cycle alignment) and volume-weighted breakouts, we can isolate high-conviction moves while using exogenous Gamma/Level data (Q-Levels) to provide non-correlated risk parameters.
Components
- Chan Lun Engine (MT4 DLL version) (regime) — Establishes the structural regime by identifying 'Hubs' (Zhongshu) and specific structural signals (2nd/3rd Buy/Sell).
- Average Force (direction) — Ensures that the price position within its recent range is supportive of the structural signal, filtering out weak-momentum pivots.
- KandleKings™ WatchTower v1.0 (entry) — Provides the execution trigger via volume-backed VWAP breakouts and RSI momentum confirmation.
- Moving Averages (Multi-Method) (exit) — Used as a dynamic trend-following exit to capture the meat of the structural move.
- Q-Levels V2.2 (risk) — Uses exogenous price levels (S/R, Gamma) to anchor the stop-loss and calculate risk-adjusted position sizing.
- Discrete Wavelet Transform (DWT) (volatility_filter) — Filters the entries based on cycle phase; trades are only taken when the low-frequency noise (detail coefficients) suggests trend expansion.
Known failure conditions
- Market enters a 'point-of-control' consolidation where price oscillates around VWAP indefinitely.
- Structural repainting in Chan Lun creates a 'look-back' bias where past winners appear perfect but live entries vanish.
- Failure to update Q-Levels string leads to outdated SL anchors in high-volatility environments.
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