Machine Learning

Regime Detection Engine

Critical (5/5)

Proprietary multi-factor regime classifier that categorizes market conditions into distinct states. Drives threshold adjustment across the entire model.

Why AlgoZilla Uses Regime Detection Engine

Regime awareness is fundamental to AlgoZilla’s approach. Entry thresholds, exit sensitivity, and position sizing all adapt based on the detected regime. This is one of the most critical features in the system.

Feature Variants

AlgoZilla expands every base indicator into multiple variants: raw values, delta (rate of change over 8/12/24 bars), divergences, and multi-timeframe computations across 2H, 4H, 8H, 12H, and 24H horizons.

Variants: 6 variants including regime probabilities and transition signals

Part of a Bigger Picture

No single indicator drives AlgoZilla decisions. This is one of 170+ features feeding into a machine learning ensemble, retrained every two weeks per coin. The model learns which features matter in each market regime.

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