Keong Kuon Lock

An integration of discrete wavelet transform and time-series recurrent neural network to improve stock price prediction

It is demonstrated that a streamlined, efficient model can outperform complex “deep” architectures when paired with robust data-cleaning techniques, and challenges the common belief that “deeper is better” in stock market forecasting.