Fractal Kalman Momentum Hybrid
Family: hybrid · Regime: trending · Complexity: high · Asset classes: Crypto, Equities (Indices), Forex Pairs (Crosses) · Timeframes: H1, H4, D1
Thesis
Market trends are most tradable when a momentum shift (Fisher Transform) occurs within a pre-existing structural trend (MA Ribbon) and is validated by relative outperformance (Kalman Filtered Spread). By waiting for a breakout from price chaos (Fractal Bands), we enter only when volatility expands in the direction of these aligned forces, using median-based error metrics to ensure the stop-loss is placed beyond typical 'noise' levels.
Components
- Solar Wind NRP (MQL5) (regime) — Establishes the cyclical momentum regime; only trading in the direction of the non-repainting Fisher transform reduces noise from minor pullbacks.
- Moving Average Ribbon (chingc) (direction) — Provides structural trend alignment; ensures breakouts are backed by long-term moving average support/resistance.
- Fractal Chaos Bands (FCB) (entry) — Acts as the breakout trigger; price closing above/below the bands signals an exit from a period of market chaos/noise.
- SuperTrend (exit) — Serves as a dynamic, volatility-adjusted trailing stop to lock in profits during extended trend runs.
- Median Absolute Error (risk) — Defines the volatility-based risk floor; uses the median error of price prediction to set stop-loss distances resistant to outliers.
- AI Pair Trading System v1.0 (volatility_filter) — Filters for relative strength; ensures the asset is outperforming a benchmark (e.g., ETH vs BTC) to avoid 'tide lowers all boats' scenarios.
Known failure conditions
- Asset correlation to the benchmark in AI Pair Trading breaks down permanently.
- Market enters a persistent 'sawtooth' regime where price oscillates between Fractal Chaos Bands without trend extension.
- Extended low-volatility periods where MdAE shrinks to levels tighter than the spread/commissions.
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