Log-Cyclical Structural Breakout (LCSB)
Family: hybrid · Regime: trending · Complexity: high · Asset classes: Equities, Forex, Crypto · Timeframes: H1, H4, D1
Thesis
Market trends are more predictable when price expansion is confirmed by cyclical momentum (Bandpass Filter), structural breakout (Fractals), and increased volume participation (PVR). By normalizing price through a Log transformation, we neutralize the variance-scaling effect of price growth, allowing trend-following parameters to remain robust across different price regimes. Entry occurs when these four independent dimensions align.
Components
- Bandpass Filter (BPF) (regime) — Identifies the cyclical momentum phase; ensures we enter when the price is in an expansive part of the dominant frequency band.
- SuperTrend (direction) — Provides the primary trend bias and filters out counter-trend fractal breakouts.
- Mn Fractal Store (entry) — Identifies horizontal liquidity levels and structural pivots; used for breakout entry confirmation once the regime and trend align.
- TopTrend (BBands Stop) (exit) — Serves as a dynamic trailing stop that tightens based on Bollinger Band volatility.
- Average True Range (ATR) (risk) — Provides the basis for initial stop-loss distance and volatility-adjusted position sizing.
- Price Volume Rank (PVR) (confirmation) — Validates the breakout by ensuring price expansion is supported by volume (Quadrant 1 for longs, Quadrant 4 for shorts).
- Logarithmic Transformation (LOG) (volatility_filter) — Normalizes price data to ensure that trend and cycle indicators operate on percentage changes rather than absolute price, stabilizing variance across wide price ranges.
Known failure conditions
- Persistent ranging behavior where price oscillates within the BPF band without reaching the SuperTrend threshold.
- In high-inflation environments or parabolic runs where Log transformation over-smoothes the data, leading to extreme entry lag.
- Fractal levels are repeatedly 'hunted' and reversed (liquidity sweeps) before TopTrend can lock in profit.
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