6 signals in Statistical.
Statistical bands based on z-score of volatility-adjusted returns, identifying extreme deviations from normal behavior.
Ranks current metric values against their historical distribution, contextualizing how extreme current readings are.
Measures return distribution asymmetry and tail thickness, identifying directional bias and crash risk in perpetual futures.
Estimates whether price is trending (H>0.5), mean-reverting (H<0.5), or random walk (H≈0.5) in crypto perpetual futures.
Measures the strength and speed of mean-reverting behavior, identifying rubber-band snap-back opportunities in perpetual futures.
Quantifies how persistent momentum is across different time horizons, distinguishing sustainable trends from noise.