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Dynamic Multi-Pair Trading Strategy in Cryptocurrency Markets with Deep Reinforcement Learning

Lebiedź, Damian et al.
arXiv (All) · Papers
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machine-learningneural-and-evolutionary-computingstatistical-financetrading-and-market-microstructure
This study aims to determine whether the application of Deep Reinforcement Learning (DRL) as a specialized execution overlay can enhance pair trading in highly volatile cryptocurrency markets. Although classical implementations of the strategy have proven successful in traditional equities, they fre
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