STOCK PRICE FORECASTING USING ARTIFICIAL NEURAL NETWORKS

This study aims to develop a methodology for forecasting stock prices using machine learning methods, specifically Artificial Neural Networks (ANN), to improve prediction accuracy and support investment decision-making. The model implementation allows for short- and long-term forecasts over 1 month, 6 months, 1 year, and 5 years, enabling a range of forecasting horizons.