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Více informací o knize Investment Strategies Optimization based on a SAX-GA Methodology

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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer science Artificial intelligence

• Plný název: Investment Strategies Optimization based on a SAX-GA Methodology
• Autor: Antonio Canelas, Rui Neves, Nuno C. G. Horta
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 81
• EAN: 9783642331091
• ISBN: 3642331092
• ID: 01662052
• Nakladatelství: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
• Hmotnost: 166 g
• Rozměry: 238 × 156 × 6 mm
• Datum vydání: 28. September 2012

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