financial data prediction using deep neural network

this study address the issue wherein the attempt will be made to train computer to beat experienced traders for financial asset trading. This is tackled by injecting a deep neural network (NN) to deal with financial signal representation and trading by using two trends like, the learning concepts of deep learning (DL) and backpropagation .The deep learning (DL) is utilized for sensing the dynamic varying market condition for informative feature learning, after that the back propagation module which helps to reduce error and interact with deep representations and provide decisions to acquire the ultimate rewards in an unknown environment within task-aware backpropagation through time method. Keywords: Deep learning (DL), financial signal processing, neural network (NN).