Multi-TF Stochastic
Stochastic oscillator at 5 timeframes. Stochastic crossovers at multiple TFs simultaneously generate high-probability signals.
Why AlgoZilla Uses Multi-TF Stochastic
Multi-TF stochastic alignment reduces false signals. When all timeframes show bullish stochastic crossovers, the setup has very high win rate.
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.
