3 min read
Graphs for Clarity
This month, we delved into MEV as part of our Explained series. As seen in global search trends and ongoing discussions across social media, interest in MEV and its impact on the crypto space has surged. Our analysis highlights MEV as a neutral force—one that can be exploited for profit or strategically used to benefit users.
MEV bots, often referred to as "searchers," play a pivotal role in this space. These bots crawl the mempool—a temporary storage area where blockchain transactions wait to be confirmed. By exploiting the mempool and using various extraction techniques, searchers can capitalize on other users' transactions. On average, profits range from $0 to $10 per transaction, although this number can fluctuate greatly.
Despite evolving blockchain protocols, MEV extraction continues as it has in the past, as demonstrated by daily MEV revenue data on Ethereum, gathered from Flashbots.
MEV revenue stems from a variety of strategies. Key types include arbitrage, liquidations, front-running, and sandwich attacks. Each strategy operates differently and affects the blockchain ecosystem in unique ways, yet they all share the common objective of extracting value from transactions. For more detailed methods, check out our dedicated blog post.
EigenPhi’s continuously updated dashboard breaks down the performance of these strategies by profit and volume. Arbitrage, for example, remains the most profitable strategy, while sandwiching dominates in terms of transaction volume over the last 30 days.
As with many inevitable complexities, there are two main schools of thought when it comes to handling MEV. The first aims to minimize it through redesigning transaction ordering or masking transaction details to make it harder for bots to extract value. The second school accepts MEV’s existence and focuses on regulating its capture, ensuring that extraction happens in a controlled and equitable way.
In the graph below, we can observe the increasing adoption of minimization strategies, particularly through the use of private mempools enabled by Flashbots.
A notable solution is MEVBlocker, developed by the Cow Protocol team. It leverages an auction-based order flow system designed to protect trades from MEV and provide rebates to users. While its adoption is gradual, more users are recognizing the impact and the need for protective measures.
MEV remains a multifaceted issue within the blockchain ecosystem. Although it presents certain challenges, like transaction exploitation, it also creates opportunities for profit and innovation. This August, our analysis shows a growing awareness of MEV, and how its management will shape the future of decentralized finance.
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