Feature selection methods on deep learning algorithms for stock price forecasting: A systematic literature review

Stock price forecasting is a difficult endeavor because of the extremely dynamic and nonlinear nature of the data. Deep learning methods have gained widespread usage as powerful tools for capturing complex temporal patterns and dependencies in financial time series, since deep architectures can a