Crude Oil

Crude oil price forecasting is a crucial area of research due to its significant impact on global economics and energy markets. Current research focuses on improving prediction accuracy using advanced machine learning techniques, such as deep learning models (including LSTM networks and reservoir computing) and hybrid approaches combining these with metaheuristic optimization and Hidden Markov Models. These models are often enhanced by incorporating diverse data sources, including news sentiment analysis and macroeconomic indicators, to capture the complex interplay of factors influencing oil prices. The resulting improvements in forecasting accuracy have significant implications for financial decision-making, risk management, and energy policy.