Jihad Abou Sondos

Hybrid CNN-LSTM Deep Learning Framework for Predicting Stock Market Movements Using Technical Indicators and Historical Price Data

This study investigates the application of deep learning models for stock market forecasting, focusing on the comparative performance of a baseline Long Short-Term Memory (LSTM) model and a Hybrid Convolutional Neural Network–Long Short-Term Memory (CNN-LSTM) architecture. The research aims to evaluate whether the inte...