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Home/Authors/Robert lepaczuk

Robert lepaczuk

1 indexed paper

Recent (6 mo)
1
With code
0
Influential cites
0
Benchmarked
0

Publications per year

1
26

Top categories

ML×1Neural Computing×1Statistical Finance×1Trading and Market Microstructure×1Stats ML×1

Frequent co-authors

Damian Lebiedź1×
Robert Ślepaczuk1×

Research Timeline

2026
Dynamic Multi-Pair Trading Strategy in Cryptocurrency Markets with Deep Reinforcement Learning

The paper develops and validates a novel Deep Reinforcement Learning (DRL) framework to enhance pair trading in volatile cryptocurrency markets, demonstrating statistically significant outperformance over traditional methods.

Highlighted terms show continued research focus across papers

Papers

cs.LGcs.NEq-fin.STRecentJun 3, 2026

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

Damian Lebiedź, Robert Ślepaczuk

The paper develops and validates a novel Deep Reinforcement Learning (DRL) framework to enhance pair trading in volatile cryptocurrency markets, demonstrating statistically significant outperformance…

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