Forecasting Stock Price using Wavelet Neural Network Optimized by Directed Artificial Bee Colony Algorithm

Forecasting Stock Price using Wavelet Neural Network Optimized by Directed Artificial Bee Colony Algorithm

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Stock prediction with data mining techniques is home one of the most important issues in finance.This field has attracted great scientific interest and has become a crucial research area to provide a more precise prediction process.This study proposes an integrated approach where Haar wavelet transform and Artificial Neural Network optimized by Directed Artificial Bee Colony algorithm are combined for the stock price Puzzle prediction.

The proposed approach was tested on the historical price data collected from Yahoo Finance with different companies.Furthermore, the prediction result was found satisfactorily enough as a guide for traders and investors in making qualitative decisions.