Wavelet-Fractal Darvas Breakout Strategy
Family: breakout · Regime: trending · Complexity: high · Asset classes: FX, Equities, Crypto · Timeframes: H1, H4
Thesis
Market price discovery occurs in discrete phases of consolidation followed by impulsive breakouts. By using Discrete Wavelet Transforms to strip high-frequency noise and Darvas Boxes to define structural boundaries, we can isolate high-probability breakouts from 'stair-stepping' trends. The edge relies on the structural persistence of momentum (RSX) and the rejection of volatility noise (DWT) during regime shifts.
Components
- Ichimoku Kinko Hyo (regime) — Filters the market into bullish/bearish regimes based on price location relative to the Kumo (Cloud) and Tenkan/Kijun relationship.
- TradeBreakOut (TBO) (direction) — Provides directional momentum bias by measuring the deviation from recent L-period highs/lows.
- Mn Fractal Store (entry) — Acts as the high-precision entry trigger; entries are only taken when price breaches the stored fractal peaks/troughs.
- Donchian Channels (DC) (exit) — Provides a trailing exit mechanism that tightens during high volatility and captures trend exhaustion.
- Darvas Boxes MetaTrader 5 (risk) — Defines structural support/resistance levels for stop-loss placement and determines position size based on box height.
- Relative Strength Quality Index (RSX) (confirmation) — Confirms the quality of the breakout by ensuring momentum is not exhausted and is trending in the direction of the trade.
- Discrete Wavelet Transform (DWT) (volatility_filter) — Decomposes price to filter out high-frequency noise; ensures the entry is aligned with the low-frequency 'approximation' trend.
Known failure conditions
- Price spends >50% of the last 100 bars inside the Ichimoku Kumo (choppy regime).
- Consecutive Darvas Box triggers without price reaching the 0.5 DC midline (whipsaw).
- DWT approximation line goes flat (slope < 0.0001) for extended periods.
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