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Investment Strategies Optimization based on a SAX-GA Methodology (Paperback, 2013 ed.) Loot Price: R1,745

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Repayment Terms: R164 pm x 12*

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Investment Strategies Optimization based on a SAX-GA Methodology (Paperback, 2013 ed.): Antonio M.L. Canelas, Rui F.M.F. Neves,...

Investment Strategies Optimization based on a SAX-GA Methodology (Paperback, 2013 ed.)

Antonio M.L. Canelas, Rui F.M.F. Neves, Nuno C G Horta

Series: SpringerBriefs in Computational Intelligence

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Loot Price R1,745 Discovery Miles 17 450 | Repayment Terms: R164 pm x 12*

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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.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	SpringerBriefs in Computational Intelligence
Release date:	September 2012
First published:	2013
Authors:	Antonio M.L. Canelas • Rui F.M.F. Neves • Nuno C G Horta
Dimensions:	235 x 155 x 6mm (L x W x T)
Format:	Paperback
Pages:	81
Edition:	2013 ed.
ISBN-13:	978-3-642-33109-1
Categories:	Books > Science & Mathematics > Mathematics > Optimization > Game theory Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Business & Economics > Finance & accounting > Finance > Investment & securities > General Books > Money & Finance > Investment & securities > General Promotions
LSN:	3-642-33109-2
Barcode:	9783642331091