ATR Z-Score
Average True Range normalized as a z-score against recent history. High z = expanding volatility, low z = compressed volatility.
Why AlgoZilla Uses ATR Z-Score
Volatility regimes dramatically change optimal trading parameters. ATR z-score helps the model adapt stop-losses, position sizes, and trail distances.
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. This is what sets AlgoZilla apart: 170+ features, each retrained every two weeks per coin.
Variants: 2 variants
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.
