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Researching Financial Market Dynamics through Algorithmic Trading Agents

dc.contributor.authorHelstab, Paul
dc.contributor.authorMosler, Christof
dc.contributor.authorKaiser, Daniel
dc.contributor.editorMarkus Böhm, Jürgen Wunderlich
dc.date.accessioned2024-10-01T10:15:41Z
dc.date.available2024-10-01T10:15:41Z
dc.date.issued2024
dc.description.abstractThe evolving landscape of financial markets demands the integration of advanced technologies and quantamental paradigms like market simulations and artificial intelligence. This study explores the use of agent-based interactive discrete event trading simulations to analyze financial market scenarios and detect anomalies. The research involves various market fees and synthetic competition between exchanges, utilizing an inter-market spread arbitrage machine for price stability. This approach enables the observation of anomalies related to spreads, execution speed, traded volumes, liquidity, order execution probability, and agent decision-making influence. This study could serve as a valuable tool for financial institutions and regulatory authorities in strategic decision-making concerning financial market challenges.en
dc.identifier.doi10.18420/AKWI2024-013
dc.identifier.isbn978-3-88579-801-9
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/44652
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofAKWI Jahrestagung 2024
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-357
dc.subjectautonomous agents
dc.subjectsimulations
dc.subjectfinancial markets
dc.subjectDEMAS
dc.titleResearching Financial Market Dynamics through Algorithmic Trading Agentsen
dc.typeText/Conference Paper
gi.citation.endPage172
gi.citation.publisherPlaceBonn
gi.citation.startPage169
gi.conference.date09.-10.09.2024
gi.conference.locationHAW-Landshut
gi.conference.sessiontitlePoster Presentations

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