Multi-TF ATR
Average True Range at 5 timeframes. Normalized ATR reveals whether volatility is expanding or contracting at different scales.
Why AlgoZilla Uses Multi-TF ATR
Multi-TF ATR is used for dynamic position sizing and trail distance calculation. The model adapts risk parameters to the current volatility regime.
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: 1 variants including multi-timeframe
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.
