Stock Market Prediction with Neural Network Method

Abstract

This paper explore neural network method for predicting the stock market which much-needed accuracy. There are three predictions that can be made in the stock market, the stock price index prediction, prediction of the direction of the stock and the stock return prediction. Stock market predictions discussed in this paper are limited to the stock in open price trend but it shown also about stock index. To deal with stock market data are time series is required some modifications to the neural network used to predict the stock market, while the stock index prediction will yielding a specific trend will be able to determine more precisely, it has been limited one month for the data prediction. By getting the proper method will be able to reduce the uncertainty of the position of the price of a value separation both in short term and long term. In this study the resulting of the prediction the next day with Neural Network got the error 0,0002 with bias 3,90500 it shown that the trend is so accurate and this is the best method to prediction of the value with the very small error and bias.