📈 Time Series Forecast using ARIMA

ℹ️ About ARIMA Model

ARIMA (AutoRegressive Integrated Moving Average) is a popular statistical model for time series forecasting. It combines autoregressive (AR) terms, differencing (I) to make the series stationary, and moving average (MA) terms. This model automatically selects the best parameters (p, d, q) using AIC (Akaike Information Criterion) to minimize prediction error. The forecast is based on the last 4 years of historical data and predicts the next 7 days.