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Investment Strategies Optimization based on a SAX-GA Methodology
António M.L. CanelasRui F.M.F. NevesNuno Horta
出版Springer Science & Business Media, 2012-09-28
主題Computers / Intelligence (AI) & SemanticsBusiness & Economics / Economics / MacroeconomicsMathematics / AppliedTechnology & Engineering / GeneralBusiness & Economics / Accounting / General
ISBN36423310929783642331091
URLhttp://books.google.com.hk/books?id=Msxe6-j9wa8C&hl=&source=gbs_api
EBookSAMPLE
註釋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.