Please use this identifier to cite or link to this item: http://elea.unisa.it/xmlui/handle/10556/2135
Title: Metodi della complessità e algoritmi per il decision making nel contesto del trading finanziario
Authors: Amorosia, Antonino
Scarpa, Roberto
Iovane, Gerardo
Keywords: Forex;DSS;Trading
Issue Date: 8-Apr-2016
Publisher: Universita degli studi di Salerno
Abstract: This work is related to decision support systems research field, specifically to their evolution in Auto-mated Decision Systems for financial computing. This choice is the result of the many environmental variables that the solution must evaluate in order to allow the decision maker to implement its trading strategies. Furthermore, in order to remove the human component and to automate specific high frequency tra-ding techniques, has been created automated solutions that are able to acquire data from environment, identify and analyze all possible trading strategies based on the system state and finally execute them according to the decision maker constraints... [edited by author]
Description: 2013 - 2014
URI: http://hdl.handle.net/10556/2135
Appears in Collections:Scienze e tecnologie dell'informazione, dei sistemi complessi e dell'ambiente

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tesi A. Amorosia.pdftesi di dottorato16,24 MBAdobe PDFView/Open
abstract in italiano A. Amorosia.pdfabstract in italiano a cura dell'autore461,35 kBAdobe PDFView/Open
abstract in inglese A. Amorosia.pdfabstract in inglese a cura dell'autore461,74 kBAdobe PDFView/Open


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