An Innovative Model For Stock Market Prediction Using Ann

Abstract

An innovative Framework has been designed for stock market prediction using artificial neural network algorithm (ANN). The hidden layer deduction has been enhanced to find the exact baseline for the artificial neural network algorithm. K-means clustering algorithm has been used as a learning process due to its wide coverage and fast learning process. the efficiency and accuracy of the predicted stock have been validated by using the NSE stock exchange. The final result it was examined by ANOVA and regression test using SPSS.