Stock Price Prediction using ARIMA with Cross-Validation

This project implements ARIMA for stock price prediction with cross-validation techniques to evaluate the model’s generalizability. The repository includes time-series cross-validation, where the training data is incrementally expanded and the test set is adjusted to simulate realistic stock price forecasting scenarios. The project provides code for hyperparameter tuning and evaluation, comparing ARIMA’s performance with other models.