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Harnessing Deep Q-Learning for Enhanced Statistical Arbitrage in High-Frequency Trading: A Comprehensive Exploration

Soumyadip Sarkar·2023

“Through extensive simulations and backtests, our research reveals that RL not only enhances the adaptability of trading strategies but also shows promise in improving profitability metrics and risk-adjusted returns.”

StrategyPairs trading
TechniqueReinforcement learning
FrequencyIntraday
ClaimExcess returnprofit

Missing from abstract: benchmark, out-of-sample test, costs, multiple testing, universe

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The paper's neighbourhoodPairs trading and statistical arbitrage by year
■ equities■ crypto■ multi-asset■ commodities■ other assets200020052010652015542020711This paper2023112026■ equities■ crypto■ multi-asset■ commodities■ other assets20002005201065201554202011This paper20232026
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