Volume Congestion
Identifies periods of decreasing volume during consolidation — the calm before the storm. Low congestion = imminent breakout.
Why AlgoZilla Uses Volume Congestion
Congestion zones precede explosive moves. The model learns which congestion patterns lead to bullish vs bearish breakouts per coin.
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 variant (raw value)
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.
