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Trading using Reinforcement Learning

dc.contributor.authorBENAHMED, DJawed
dc.date.accessioned2022-11-09T13:14:15Z
dc.date.available2022-11-09T13:14:15Z
dc.date.issued2022
dc.descriptionSupervisor : Mr. KHALDI Belkacemen_US
dc.description.abstractArtificial intelligence has been increasingly popular in financial sectors such as stock and currency trading in recent years. Reinforcement learning is one of AI widely used branches in financial market problems. In this thesis, we begin with a quick overview of DL, RL, and deep RL methods in various economic applications. Furthermore, providing an indepth insight into the problem of ”automated trading” in different markets and exploring different approaches covered in the literature.*** L’intelligence artificielle est de plus en plus populaire dans les secteurs financiers tels que le commerce des actions et des devises ces dernières années. L’apprentissage par renforcement est l’une des branches de l’IA largement utilisées dans les problèmes de marché financier. Dans cette thèse, nous commençons par un aperçu rapide des méthodes DL, RL et RL profondes dans diverses applications économiques. En outre, fournir un aperçu approfondi du problème du ”trading automatisé” sur différents marchés et explorer différentes approches couvertes par la littérature.en_US
dc.identifier.urihttps://repository.esi-sba.dz/jspui/handle/123456789/337
dc.language.isoenen_US
dc.subjectStock Marketen_US
dc.subjectForex Marketen_US
dc.subjectCrypto Marketen_US
dc.subjectAsset Tradingen_US
dc.subjectAutomated Tradingen_US
dc.subjectPortfolio Managementen_US
dc.subjectReinforcement Learningen_US
dc.subjectDeep Learningen_US
dc.subjectDeep Q-Networken_US
dc.titleTrading using Reinforcement Learningen_US
dc.typeThesisen_US

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