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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.17527 |
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| _version_ | 1866911358480547840 |
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| author | Mancino, Davide Sevim, Hasret Ozan Gonzalez, Oriol Saguillo |
| author_facet | Mancino, Davide Sevim, Hasret Ozan Gonzalez, Oriol Saguillo |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_17527 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Bunny Hops and Blockchain Stops: Cross-Chain MEV Detection With N-Hops Mancino, Davide Sevim, Hasret Ozan Gonzalez, Oriol Saguillo Other Computer Science 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. |
| title | Bunny Hops and Blockchain Stops: Cross-Chain MEV Detection With N-Hops |
| topic | Other Computer Science |
| url | https://arxiv.org/abs/2511.17527 |