Fair Value Gap Detection
Identifies imbalances in price action where gaps between candle wicks suggest unfilled orders. FVGs often act as magnets for price reversion.
Why AlgoZilla Uses Fair Value Gap Detection
Fair value gaps represent institutional order flow footprints. The model uses FVG proximity and fill rates to gauge short-term directional bias.
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: 4 variants including gap size, fill percentage, and proximity
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.
