NIFTY-50_Stock_Market_Prediction

This project uses the ARIMA model to forecast NIFTY-50 stock prices from 2000 to 2021. After preprocessing the data and ensuring stationarity through differencing, the ARIMA parameters were determined using ACF and PACF plots. The model was trained on a portion of the dataset, with its accuracy evaluated using RMSE. A confusion matrix was also used to assess the model’s ability to predict stock price directions (up or down). The results helped refine the model for improved forecasting accuracy.