Leveraging Machine Learning for Bidding Strategies in Miner Extractable Value (MEV) Auctions

ePrint Report: Leveraging Machine Learning for Bidding Strategies in Miner Extractable Value (MEV) Auctions

Christoffer Raun, Benjamin Estermann, Liyi Zhou, Kaihua Qin, Roger Wattenhofer, Arthur Gervais, Ye Wang

The emergence of blockchain technologies as central components of financial frameworks has amplified the extraction of market inefficiencies, such as arbitrage, through Miner Extractable Value (MEV) from Decentralized Finance smart contracts. Exploiting these opportunities often requires fee payment to miners and validators, colloquially termed as bribes. The recent development of centralized MEV …

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