Uses of Class
com.quantfinlib.ml.VolatilityForecaster
Packages that use VolatilityForecaster
Package
Description
Statistical learning for markets, all pure Java:
GradientBoostedRegressor (stump boosting),
VolatilityForecaster (forward realized vol +
0-100 risk score), RegimeDetector (2-state
Gaussian Markov-switching model via Baum-Welch EM),
MarketImpactPredictor (learned impact + sweep
probability), IntradayLiquidityForecaster
(session volume profiles) and AnomalyDetector
(quote stuffing, price spikes).-
Uses of VolatilityForecaster in com.quantfinlib.ml
Methods in com.quantfinlib.ml that return VolatilityForecasterModifier and TypeMethodDescriptionVolatilityForecaster.fit(double[] returns) Trains on a historical return series (needs at least ~3 months of data).static VolatilityForecasterVolatilityForecaster.weekly()