Forecasting Stock Market Prices Through Long Short-Term Memory Method
Abstract
Predicting the future prices of listed stocks has always been a primary area of interest for traders, investors, and risk managers.While traditional statistical methods often struggle with market volatility, this research, titled "Stock Prediction using LSTM," bridges the gap between deep learning and financial analysis.By leveraging the Long Short-Term Memory (LSTM) network's ability to retain longterm information, this study forecasts major technology stocks like Apple, Google, Microsoft, and Amazon.The model proposed in this study achieved a prediction accuracy of 85.4%, demonstrating significant potential for real-world application.10.29322/IJSRP.16.01.
Fields of Study & Subjects
Stock Market Forecasting Methods
Financial Markets and Investment Strategies
Forecasting Techniques and Applications
Publication details
- Journal / source
- International Journal of Scientific and Research Publications
- Volume
- 16
- Issue
- 1
- Pages
- 215–222
- Publication date
- 24 January 2026
- Language
- EN