How to forecast not just the next value, but the uncertainty around it?

Financial forecasting needs to quantify uncertainty, not just predict point values. ProbRes adds a volatility learning layer on top of any existing forecasting model, separately estimating how confident the prediction should be. It resamples residuals to generate full predictive distributions that work with non-Gaussian noise and multivariate data, with experiments showing better calibrated prediction intervals on real market data.