Improved particle swarm optimization for fuzzy based stock market turning points prediction
Stock prices usually appear as a series of zigzag patterns that move in upward and downward trends. These zigzag patterns are learned as a tool for predicting the stock market turning points. Identification of these zigzag patterns is a challenge because they occur in multi-resolutions and are hidde...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2013
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/33794/5/ChawalsakPhetchanchaiPFSKSM2013.pdf http://eprints.utm.my/id/eprint/33794/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:69907?site_name=Restricted Repository |
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| Institution: | Universiti Teknologi Malaysia |
| Language: | English |