Adaptive Gator Breakout System
Family: breakout · Regime: trending · Complexity: high · Asset classes: FX, Equities, Crypto · Timeframes: H1, H4
Thesis
Price breakouts are most reliable when they occur during a transition from low-volatility 'sleep' to high-volatility 'expansion' (Gator), aligned with an adaptive trend filter (MultiKAMA) that accounts for price efficiency. By using session-start ATR levels as a benchmark, we target mathematically probable extensions while using SuperTrend to capture the meat of the trend.
Components
- MultiKAMA (TyphooN) (regime) — Provides the primary trend filter; only taking longs when price is above the KAMA to ensure alignment with adaptive trend efficiency.
- Supported map history (direction) — Uses the t-1 map-derived value to ensure the current price vector exceeds the previous session's map-calculated baseline (close + size), acting as a momentum-delta check.
- Donchian Channels (entry) — Defines the execution trigger; price must breach the 20-period range boundary to signal a volatility breakout.
- ATR Fib (exit) — Establishes session-specific profit targets based on a fixed ATR projection from the session high-open, providing logical structural exits.
- SuperTrend & Pivots (risk) — SuperTrend provides the dynamic trailing stop-loss, while Daily Pivots serve as hard invalidation levels (S2/R2).
- Stochastic Oscillator (ta.stoch) (confirmation) — Ensures short-term momentum is supportive (not overbought/oversold) during the breakout.
- Gator Oscillator (Standard) (volatility_filter) — Filters out low-volatility periods; entry is only permitted when the Gator is 'awakening' or 'eating' (bars expanding).
Known failure conditions
- MultiKAMA 'stair-stepping' in flat markets causing repetitive whipsaws.
- Static ATR input in ATR Fib failing to account for 3nd-sigma volatility spikes or regime shifts.
- Failure of Gator to 'wake up' during news events, leading to late entries.
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