Enhancing GRU With Long-Short Attention: A Case Study of Saudi Stock Market Prediction
Predicting stock market movements accurately is a challenging task due to the inherent complexity and volatility of financial markets. In recent years, deep learning techniques, particularly the Gated Recurrent Unit (GRU), have shown promising results in financial time series prediction. However, capturing the most rel...