Adverse Selection Risk
Measures the risk of trading against informed counterparties by analyzing the relationship between volume and subsequent price moves.
Why AlgoZilla Uses Adverse Selection Risk
High adverse selection means smart money is active. The model reduces position sizes and requires higher conviction for entries.
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.
