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Prediction of stock prices at Kuala Lumpur stock exchange KLSE using artificial neural network

机译:使用人工神经网络预测吉隆坡证券交易所KLSE的股价

摘要

It is known that Artificial Neural Network (ANN) technique that can make prediction. Stock market prices are tough to predict because there are many factors involve thus making it hard to make prediction. Three counters from KLSE, AIRASIA, AMBANK, and ASTRO are chosen to compare the prediction between those counters. Six month's of data from each of those counter are used for the predictions and compared for getting the results. Two values of predictions for today and yesterday are obtained by using the prototype. By comparing both values, the increase and decrease of the stock prices can be revealed. The results from the prototype shows that ANN can be used to predict increase or decrease of the stock prices for each of the related counters.
机译:众所周知,人工神经网络(ANN)技术可以做出预测。股市价格很难预测,因为其中涉及许多因素,因此很难进行预测。选择了KLSE,AIRASIA,AMBANK和ASTRO的三个计数器来比较这些计数器之间的预测。来自每个计数器的六个月数据用于预测,并进行比较以获得结果。使用该原型可以获得今天和昨天的两个预测值。通过比较两个值,可以显示出股价的涨跌。原型的结果表明,ANN可用于预测每个相关柜台的股票价格的上升或下降。

著录项

  • 作者

    Muhammad Hafiz Samsuri;

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  • 年度 2014
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