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dc.contributor.authorAmorosia, Antonino
dc.date.accessioned2016-07-15T12:21:29Z
dc.date.available2016-07-15T12:21:29Z
dc.date.issued2016-04-08
dc.identifier.urihttp://hdl.handle.net/10556/2135
dc.description2013 - 2014it_IT
dc.description.abstractThis 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]it_IT
dc.language.isoitit_IT
dc.publisherUniversita degli studi di Salernoit_IT
dc.subjectForexit_IT
dc.subjectDSSit_IT
dc.subjectTradingit_IT
dc.titleMetodi della complessità e algoritmi per il decision making nel contesto del trading finanziarioit_IT
dc.typeDoctoral Thesisit_IT
dc.subject.miurMAT/05 ANALISI MATEMATICAit_IT
dc.contributor.coordinatoreScarpa, Robertoit_IT
dc.description.cicloXIII n.s.it_IT
dc.contributor.tutorIovane, Gerardoit_IT
dc.identifier.DipartimentoFisicait_IT
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