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A deep Q-learning based algorithmic trading system for commodity futures markets · Study

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ArticleA deep Q-learning based algorithmic trading system for commodity futures markets

Mahdi Massahi2023

Article2023

A deep Q-learning based algorithmic trading system for commodity futures markets

Mahdi Massahi · Masoud Mahootchi

29 citations·0/0 files stored·Expert Systems with Applications

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Stock Market Forecasting Methods Financial Markets and Investment Strategies Stochastic processes and financial applications

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References

2003Options, Futures and Other Derivatives 2001Optimal execution of portfolio transactions 1999Using genetic algorithms to find technical trading rules 2006Financial econometric analysis at ultra-high frequency: Data handling concerns 2006Reinforcement learning for optimized trade execution 2020Adaptive stock trading strategies with deep reinforcement learning methods 2020Multi-DQN: An ensemble of Deep Q-learning agents for stock market forecasting 2020An Application of Deep Reinforcement Learning to Algorithmic Trading

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Year2023

Typearticle

Published2023-09-20

VenueExpert Systems with Applications

ISSN-L0957-4174

Languageen

Citations29

Files0 public / 0

ShelfStock Market Forecasting Methods

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doi10.1016/j.eswa.2023.121711

openalex_workW4386898710

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