Forecasting Stock Price by Using Artificial Neural Networks
Machine learning is widely used in predicting the stock prices. A stock market trade is an activity that requires investors to obtain accurate and timely information in order to make informed decisions. Due to the large number of stocks that are traded on a stock exchange, a variety of factors...
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| المؤلف الرئيسي: | |
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| التنسيق: | Final Year Project Report |
| اللغة: | English English |
| منشور في: |
Universiti Malaysia Sarawak, (UNIMAS)
2023
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| الوصول للمادة أونلاين: | http://ir.unimas.my/id/eprint/44058/1/Nur%E2%80%99azra%20Alia%20Nisa%20%2824pgs%29.pdf http://ir.unimas.my/id/eprint/44058/2/Nur%E2%80%99azra%20Alia%20Nisa%20%28fulltext%29.pdf http://ir.unimas.my/id/eprint/44058/ |
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my.unimas.ir.440582024-01-11T03:00:30Z http://ir.unimas.my/id/eprint/44058/ Forecasting Stock Price by Using Artificial Neural Networks Nur’azra Alia Nisa, Zulpakar T Technology (General) Machine learning is widely used in predicting the stock prices. A stock market trade is an activity that requires investors to obtain accurate and timely information in order to make informed decisions. Due to the large number of stocks that are traded on a stock exchange, a variety of factors are considered in the decision-making process. In addition, it is also difficult to predict the behaviour of stock prices due to the uncertainty associated with them. There have been a number of studies conducted on the topic of forecasting stock values using machine learning. Hence, in this study, an Artificial Neural Network model is proposed as a machine learning algorithm for forecasting stock prices. This study utilizes the daily stock prices of Apple Inc. and Microsoft Corp gathered from the NASDAQ stock exchange. The processed data are then evaluated using the Root Mean Square Error (RMSE) and Absolute Error to analyse the performance of the model proposed. Universiti Malaysia Sarawak, (UNIMAS) 2023 Final Year Project Report NonPeerReviewed text en http://ir.unimas.my/id/eprint/44058/1/Nur%E2%80%99azra%20Alia%20Nisa%20%2824pgs%29.pdf text en http://ir.unimas.my/id/eprint/44058/2/Nur%E2%80%99azra%20Alia%20Nisa%20%28fulltext%29.pdf Nur’azra Alia Nisa, Zulpakar (2023) Forecasting Stock Price by Using Artificial Neural Networks. [Final Year Project Report] (Unpublished) |
| institution |
Universiti Malaysia Sarawak |
| building |
Centre for Academic Information Services (CAIS) |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Malaysia Sarawak |
| content_source |
UNIMAS Institutional Repository |
| url_provider |
http://ir.unimas.my/ |
| language |
English English |
| topic |
T Technology (General) |
| spellingShingle |
T Technology (General) Nur’azra Alia Nisa, Zulpakar Forecasting Stock Price by Using Artificial Neural Networks |
| description |
Machine learning is widely used in predicting the stock prices. A stock market trade is
an activity that requires investors to obtain accurate and timely information in order to make
informed decisions. Due to the large number of stocks that are traded on a stock exchange, a
variety of factors are considered in the decision-making process. In addition, it is also difficult
to predict the behaviour of stock prices due to the uncertainty associated with them. There have
been a number of studies conducted on the topic of forecasting stock values using machine
learning. Hence, in this study, an Artificial Neural Network model is proposed as a machine
learning algorithm for forecasting stock prices. This study utilizes the daily stock prices of
Apple Inc. and Microsoft Corp gathered from the NASDAQ stock exchange. The processed
data are then evaluated using the Root Mean Square Error (RMSE) and Absolute Error to
analyse the performance of the model proposed. |
| format |
Final Year Project Report |
| author |
Nur’azra Alia Nisa, Zulpakar |
| author_facet |
Nur’azra Alia Nisa, Zulpakar |
| author_sort |
Nur’azra Alia Nisa, Zulpakar |
| title |
Forecasting Stock Price by Using Artificial Neural Networks |
| title_short |
Forecasting Stock Price by Using Artificial Neural Networks |
| title_full |
Forecasting Stock Price by Using Artificial Neural Networks |
| title_fullStr |
Forecasting Stock Price by Using Artificial Neural Networks |
| title_full_unstemmed |
Forecasting Stock Price by Using Artificial Neural Networks |
| title_sort |
forecasting stock price by using artificial neural networks |
| publisher |
Universiti Malaysia Sarawak, (UNIMAS) |
| publishDate |
2023 |
| url |
http://ir.unimas.my/id/eprint/44058/1/Nur%E2%80%99azra%20Alia%20Nisa%20%2824pgs%29.pdf http://ir.unimas.my/id/eprint/44058/2/Nur%E2%80%99azra%20Alia%20Nisa%20%28fulltext%29.pdf http://ir.unimas.my/id/eprint/44058/ |
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1789430356173127680 |
| score |
13.251813 |