- statistical mev (non-atomic) convey informed strategies that rely on off-chain information (signal)
- examples can be strategies that rely on:
- cross-chains mev
- defi-cefi arbitrage
- order flow trading by aggregating from private and public mempools
- whale watching
- these strategies are more profitable and less accessible due to capital requirements and risk profile
- cross-chain arbitrages in the realm of blockchain interoperability, by b. oz et al. (2025)
- systematic study of two non-atomic cross-chain arbitrage strategies (sequence-independent arbitrage and sequence-dependent arbitrage.
- "analysis reveals that 32.88 % of ethereum legs in crosschain arbitrages were submitted privately (private mempools), yielding an average profit of 82.5 USD, compared to 78.35 USD for public transactions."
- anatomy of stat bots
addLiquidity()sandwich attack optimization problem- dex arbitrage, mathematical optimizations & me, by noxx
- a new game in town, by frontier research
- statistical arbitrage on amms and block building on ethereum – part 1, by greenfield
- insights from 2 years of mev boost data, by p. stichler