economics. At the same time, stock price forecasting that supports trading strategies is considered one of the most challenging … simulations show, frst, that the sentiment composite index and the deep learning model can improve the accuracy of stock price … forecasting. Second, the interval constraint-based trading strategy based on the proposed approach can efectively enhance returns …

price forecasting literature is limited, inconsistent and outdated, with few deep learning attempts and no public dataset …

Electricity price forecasting has become an area of increasing relevance in recent years. Despite the growing interest …