About:
In this project, I leveraged Python and ARIMA models to forecast stock prices. The primary goal was to predict future price trends based on historical data, optimizing model parameters through Mean Squared Error (MSE) analysis. I used data visualization techniques to effectively communicate the forecasted price trends and potential returns. This project enhanced my understanding of time series analysis and model evaluation, providing valuable insights into financial market predictions.