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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Détails bibliographiques
Auteur principal:	Phetchanchai, Chawalsak
Format:	Thèse
Langue:	anglais
Publié:	2013
Sujets:	HF Commerce
Accès en ligne:	http://eprints.utm.my/33794/5/ChawalsakPhetchanchaiPFSKSM2013.pdf

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