Evaluating LSTM Neural Networks With Moving Average Features For Short-Term Stock Price Forecasting: A Comparative Study Of The Technology And Pharmaceutical Sectors
This study evaluates whether historical daily trading data combined with simple moving average (SMA) features can improve the accuracy of Long Short-Term Memory (LSTM) neural networks in forecasting short-term stock prices, and whether forecasting accuracy differs systematically between the technology and pharmaceutica...