Stock Price Forecasting using Back Propagation Neural Networks with Time and Profit Based Adjusted Weight Factors

Abstract

In this paper, we showed a method to forecast the stock price using neural networks. Predicting the stock market is very difficult since it depends on several known and unknown factors. In recent years, one of the techniques that have been used popularly in this area is artificial neural network. The power of neural network is its ability to model a… (More)

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