Forecasting stock indices with back propagation neural network

► We propose a new approach to forecasting the stock prices. ► We utilize the Wavelet De-noising-based Back Propagation (WDBP) neural network. ► An effective algorithm for is developed. ► We show the advantage of this new approach by comparing it with the single Back Propagation (BP) neural network. ► The real data set is used to demonstrate the accuracy of the new forecasting technique.