Übersicht			Auf mobile öffnen

Lieferstatus:	i.d.R. innert 7-14 Tagen versandfertig
Veröffentlichung:	September 2012
Genre:	Naturwissensch., Medizin, Technik
ISBN:	9783642331091
EAN-Code:	9783642331091
Verlag:	Springer Berlin Heidelberg
Einband:	Kartoniert
Sprache:	English
Serie:	SpringerBriefs in Applied Sciences and Technology SpringerBriefs in Computational Intelligence
Dimensionen:	H 235 mm / B 155 mm / D 6 mm
Gewicht:	160 gr
Seiten:	96
Zus. Info:	Paperback
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

This book presents a new computational finance approach combining a Symbolic Aggregate approXimation (SAX) technique with an optimization kernel based on genetic algorithms (GA). While the SAX representation is used to describe the financial time series, the evolutionary optimization kernel is used in order to identify the most relevant patterns and generate investment rules. The proposed approach considers several different chromosomes structures in order to achieve better results on the trading platform The methodology presented in this book has great potential on investment markets.