Analysis of Algorithmic Trading with Q-Learning in the Forex Market

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dc.contributor.authorAruquipa A. Grover
dc.contributor.authorRojas S. Gabriel
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T14:22:21Z
dc.date.available2026-03-22T14:22:21Z
dc.date.issued2021
dc.descriptionCitaciones: 8
dc.description.abstractThis work shows an implementation of Deep reinforcement learning in currency pairs for the FOREX currency market, using deep learning techniques combined with reinforced learning, profit is obtained using databases extracted from recent years, the results found are analyzed, such as the loss function, compensation and behavior. of the system.
dc.identifier.doi10.1109/esci50559.2021.9396948
dc.identifier.urihttps://doi.org/10.1109/esci50559.2021.9396948
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/46126
dc.language.isoen
dc.relation.ispartof2021 International Conference on Emerging Smart Computing and Informatics (ESCI)
dc.sourceUniversidad Católica Bolivia San Pablo
dc.subjectForeign exchange market
dc.subjectCurrency
dc.subjectComputer science
dc.subjectReinforcement learning
dc.subjectProfit (economics)
dc.subjectArtificial intelligence
dc.subjectDeep learning
dc.subjectQ-learning
dc.subjectMachine learning
dc.titleAnalysis of Algorithmic Trading with Q-Learning in the Forex Market
dc.typearticle

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