Stock Price Forecasting

Stock price forecasting aims to predict future stock price movements, assisting investment decisions and risk management. Current research heavily emphasizes the use of advanced machine learning models, including Long Short-Term Memory (LSTM) networks, transformers, and ensemble methods that combine different algorithms (e.g., LSTM with XGBoost), often incorporating external data sources like news sentiment and social media analysis. These efforts aim to improve prediction accuracy and interpretability, ultimately impacting portfolio optimization, algorithmic trading strategies, and a deeper understanding of market dynamics.