Project Details
Apple Near-Term Stock Price Prediction using LSTM
Description
This project develops a Long Short-Term Memory (LSTM) deep learning model to predict near-term closing prices of Apple (AAPL) stock. It involves preprocessing and scaling historical market data, constructing time-series sequences, training an LSTM neural network, and visualizing predictive performance to evaluate model accuracy and trends in financial time-series forecasting.