Investment Strategies Optimization based on a SAX-GA Methodology e-bog
436,85 DKK
(inkl. moms 546,06 DKK)
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 appro...
E-bog
436,85 DKK
Forlag
Springer
Udgivet
26 september 2012
Genrer
Economics, Finance, Business and Management
Sprog
English
Format
pdf
Beskyttelse
LCP
ISBN
9783642331107
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.