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In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Springer-Verlag New York Inc, 2012
ISBN 10: 3642329888 ISBN 13: 9783642329883
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In den WarenkorbPaperback. Zustand: Brand New. 2013 edition. 88 pages. 9.25x0.20x6.10 inches. In Stock.
Sprache: Englisch
Verlag: Springer Berlin Heidelberg, 2012
ISBN 10: 3642329888 ISBN 13: 9783642329883
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In den WarenkorbZustand: New.
Sprache: Englisch
Verlag: Springer Berlin Heidelberg, Springer Berlin Heidelberg, 2012
ISBN 10: 3642329888 ISBN 13: 9783642329883
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The management of financial portfolios or funds constitutes a widely known problematic in financial markets which normally requires a rigorous analysis in order to select the most profitable assets. This subject is becoming popular among computer scientists which try to adapt known Intelligent Computation techniques to the market's domain. This book proposes a potential system based on Genetic Algorithms, which aims to manage a financial portfolio by using technical analysis indicators. The results are promising since the approach clearly outperforms the remaining approaches during the recent market crash.
Taschenbuch. Zustand: Neu. Intelligent Financial Portfolio Composition based on Evolutionary Computation Strategies | Antonio Gorgulho (u. a.) | Taschenbuch | SpringerBriefs in Applied Sciences and Technology | xi | Englisch | 2012 | Springer | EAN 9783642329883 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | The management of financial portfolios or funds constitutes a widely known problematic in financial markets which normally requires a rigorous analysis in order to select the most profitable assets. This subject is becoming popular among computer scientists which try to adapt known Intelligent Computation techniques to the market¿s domain. This book proposes a potential system based on Genetic Algorithms, which aims to manage a financial portfolio by using technical analysis indicators. The results are promising since the approach clearly outperforms the remaining approaches during the recent market crash.