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.
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Abstract
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.
| Item Type: | Undergraduates Project Papers |
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| Additional Information: | Project paper (Bachelor of Computer Science (Software Engineering) With Honours -- Universiti Malaysia Pahang - 2014, SV: PUAN ROSLINA BINTI ABDUL HAMID, NO. CD: 12451 |
| Uncontrolled Keywords: | Stock exchange; Artificial neural network; Stock prices |
| Subjects: | Q Science > Q Science (General) T Technology > T Technology (General) |
| Faculty/Division: | Faculty of Computer System And Software Engineering |
| Depositing User: | Ms. Nurezzatul Akmal Salleh |
| Date Deposited: | 16 Jun 2016 04:20 |
| Last Modified: | 03 Nov 2023 02:34 |
| URI: | http://umpir.ump.edu.my/id/eprint/13381 |
| Download Statistic: | View Download Statistics |
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