Shock Magnitude
Detects abnormally large price moves (measured in rolling standard deviations). Identifies flash crashes and pumps in real-time.
Why AlgoZilla Uses Shock Magnitude
During shocks, normal signals break down. The model uses shock detection to widen stops, block new entries, and activate recovery protocols.
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: 3 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.
