This student paper introduces a novel methodology for the detection and analysis of multihop cross-chain arbitrage opportunities, wherein multihop denotes arbitrage sequences involving more than two transactional steps across distinct blockchain networks, executed using sequence-dependent strategies. Utilizing a comprehensive dataset comprising over 2.4 billion transactions recorded between September 2023 and August 2024 (encompassing 12 blockchain platforms and 45 cross-chain bridges) we design and implement an algorithm capable of identifying, sequence-dependent arbitrage paths spanning multiple ecosystems. Our empirical analysis demonstrates that such arbitrage opportunities are exceedingly infrequent, underscoring the inherent challenges associated with multihop execution in cross-chain environments.
@article{arxiv.2511.17527,
title = {Bunny Hops and Blockchain Stops: Cross-Chain MEV Detection With N-Hops},
author = {Davide Mancino and Hasret Ozan Sevim and Oriol Saguillo Gonzalez},
journal= {arXiv preprint arXiv:2511.17527},
year = {2026}
}
Comments
Accepted manuscript. Published in Proceedings of the 2025 7th Conference on Blockchain Research and Applications for Innovative Networks and Services (BRAINS), 2025, pp. 1-4. DOI: 10.1109/BRAINS67003.2025.11302948