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

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 betwe...

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Main Author: Muhammad Hafiz, Samsuri
Format: Undergraduates Project Papers
Language:English
Published: 2014
Subjects:
Q Science (General)
T Technology (General)
Online Access:http://umpir.ump.edu.my/id/eprint/13381/1/FSKKP%20-%20MUHAMMAD%20HAFIZ%20SAMSURI.PDF
http://umpir.ump.edu.my/id/eprint/13381/
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spelling my.ump.umpir.133812021-02-09T13:11:07Z http://umpir.ump.edu.my/id/eprint/13381/ Prediction of stock prices at Kuala Lumpur stock exchange KLSE using artificial neural network Muhammad Hafiz, Samsuri Q Science (General) T Technology (General) 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. 2014 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/13381/1/FSKKP%20-%20MUHAMMAD%20HAFIZ%20SAMSURI.PDF Muhammad Hafiz, Samsuri (2014) Prediction of stock prices at Kuala Lumpur stock exchange KLSE using artificial neural network. Faculty of Computer Systems and Software Engineering, Universiti Malaysia Pahang.
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic Q Science (General)
T Technology (General)
spellingShingle Q Science (General)
T Technology (General)
Muhammad Hafiz, Samsuri
Prediction of stock prices at Kuala Lumpur stock exchange KLSE using artificial neural network
description 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.
format Undergraduates Project Papers
author Muhammad Hafiz, Samsuri
author_facet Muhammad Hafiz, Samsuri
author_sort Muhammad Hafiz, Samsuri
title Prediction of stock prices at Kuala Lumpur stock exchange KLSE using artificial neural network
title_short Prediction of stock prices at Kuala Lumpur stock exchange KLSE using artificial neural network
title_full Prediction of stock prices at Kuala Lumpur stock exchange KLSE using artificial neural network
title_fullStr Prediction of stock prices at Kuala Lumpur stock exchange KLSE using artificial neural network
title_full_unstemmed Prediction of stock prices at Kuala Lumpur stock exchange KLSE using artificial neural network
title_sort prediction of stock prices at kuala lumpur stock exchange klse using artificial neural network
publishDate 2014
url http://umpir.ump.edu.my/id/eprint/13381/1/FSKKP%20-%20MUHAMMAD%20HAFIZ%20SAMSURI.PDF
http://umpir.ump.edu.my/id/eprint/13381/
_version_ 1691733247885574144
score 13.18916

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