Recommended system for forecast exchange rate prediction using deep learning

Abstract

The associated exchange rates of several foreign currencies are the main focus of newlinethe FOREX (foreign exchange market). Trillions of dollars are exchanged daily by newlinebanks, individual traders, businesses and retail traders on the FOREX market. newlinePredicting the currency exchange rate thus becomes extremely important. It is newlinevery challenging to predict the price in advance because of the intricate, erratic, newlineand extreme fluctuations. Despite the large number of traditional mitigation newlinesolutions that exists today, Investors and traders are constantly searching for newlineinnovative ways to outperform the market and increase their profits. The purpose newlineof this thesis is to offer a structure which work on large no of data, handle the newlinecomplexity and give more accuracy in prediction. In order to meet the good newlineprediction and best accuracy result Convolutional Neural Network-Random Forest newlinemodel comes into existence. newline