Predictive Analytics: Time-Series Forecast Simulator

Predictive analytics turns historical patterns into a projection of what comes next, and this simulator makes that process visible end to end. A synthetic time series is generated from a trend, a repeating seasonal cycle and random noise — the same ingredients classical forecasting methods like ARIMA, Prophet and LSTM models decompose real data into. A forecast line extends from "now" into the future with a confidence interval that widens the further ahead it looks, since accumulated uncertainty grows with every extra step. A playback cursor then sweeps forward in time, revealing the real (noisy) future values one at a time so you can watch, live, how often the true outcome lands inside the model's stated confidence band versus how often it doesn't — the core trade-off behind every forecasting dashboard.