Financial stock market forecast using data mining in Palestine
Other Title(s)
التنبؤ بأسعار الأسهم في فلسطين باستخدام تقنيات التنقيب
Joint Authors
Abu Zir, Yusuf
Barakah, Abd al-Rahman M.
Source
Palestinian Journal of Technology and Applied Sciences
Issue
Vol. 2019, Issue 2 (31 Jan. 2019), pp.38-48, 11 p.
Publisher
al-Quds Open University Deanship of Scientific Research and Graduate Studies
Publication Date
2019-01-31
Country of Publication
Palestine (West Bank)
No. of Pages
11
Main Subjects
Financial and Accounting Sciences
Topics
Abstract EN
This research involves building a model for forecasting stock price movements using data mining techniques with Artificial Intelligence classifier.
Concerning the forecasting problem, we tackle the challenge of choosing Palestinian Stock Exchange (PSX) as an input data in the period between 2005-2017 and processing it accordingly to improve the predicting accuracy for the Palestinian stock market prices.
We also address the issue of evaluating the prediction performance.
Our results show that the best configuration for ANN is 6-5-1, which means six inputs, five neurons in hidden layer and one output.
ANN classifier is feed-forward multilayer perceptron neural network that is trained with back propagation algorithm.
In addition, the results show we have a high degree of accuracy for prediction (0.010 +/- 0.000 for Root Mean Squared Error), this accuracy is higher than other related researches
American Psychological Association (APA)
Abu Zir, Yusuf& Barakah, Abd al-Rahman M.. 2019. Financial stock market forecast using data mining in Palestine. Palestinian Journal of Technology and Applied Sciences،Vol. 2019, no. 2, pp.38-48.
https://search.emarefa.net/detail/BIM-860571
Modern Language Association (MLA)
Abu Zir, Yusuf& Barakah, Abd al-Rahman M.. Financial stock market forecast using data mining in Palestine. Palestinian Journal of Technology and Applied Sciences No. 2 (Jan. 2019), pp.38-48.
https://search.emarefa.net/detail/BIM-860571
American Medical Association (AMA)
Abu Zir, Yusuf& Barakah, Abd al-Rahman M.. Financial stock market forecast using data mining in Palestine. Palestinian Journal of Technology and Applied Sciences. 2019. Vol. 2019, no. 2, pp.38-48.
https://search.emarefa.net/detail/BIM-860571
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 47-48
Record ID
BIM-860571