Automated Stock Trading Using Deep Reinforcement Learning And Portfolio Optimization

Trading using intelligent agents has been widely researched since many years. The thought that arose is can self-learning agent take on the role of a human trader. Can Reinforcement Learning (RL) effectively trade to maximize reward? When trading, investor's goal is to optimize reward, usually...

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Veröffentlicht in:	Webology 2022-01, Vol.19 (2), p.428-449
Hauptverfasser:	Parkavi, A, Sowmya, B J, Alex, Sini Anna
Format:	Artikel
Sprache:	eng
Schlagworte:	Automation Deep learning Empowerment Linear programming Neural networks Optimization Stock exchanges Teaching methods
Online-Zugang:	Volltext
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