E-Book, Englisch, 81 Seiten, eBook
Canelas / Neves / Horta Investment Strategies Optimization based on a SAX-GA Methodology
2013
ISBN: 978-3-642-33110-7
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
E-Book, Englisch, 81 Seiten, eBook
Reihe: SpringerBriefs in Applied Sciences and Technology
ISBN: 978-3-642-33110-7
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
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.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Introduction.- Market Analysis Background and Related Work.- SAX-GA Approach.- Results.- Conclusions and Future Work.




