Automated Portfolio Rebalancing using Q-learning

Fund Managers and retail Do-it-yourself investors constantly seek ideas and techniques to invest their wealth in various financial assets to maximize their wealth over time while trying to minimize the Investment Risk and Transaction costs. This study uses Basic Q-Learning Reinforcement Learning age...

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Veröffentlicht in:	2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) S. 0596 - 0602
Hauptverfasser:	Darapaneni, Narayana, Basu, Amitavo, Savla, Sanket, Gururajan, Raamanathan, Saquib, Najmus, Singhavi, Sudarshan, Kale, Aishwarya, Bid, Pratik, Paduri, Anwesh Reddy
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 28.10.2020
Schlagworte:	automated Gold Indexes Investment portfolio Portfolios q-learning rebalancing Reinforcement learning trading Training wealth creation
Online-Zugang:	Volltext
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