Failed arbitrage attempts on-chain leave distinct footprints that experienced analysts use to identify unsuccessful MEV and arbitrage hunts. These indicators are visible in transaction outcomes, call traces, and account behavior. Research by Philip Daian at Cornell University and analysis by Dan Robinson at Paradigm document that many arbitrage strategies produce visible, costly failures that still consume network resources and affect regular users.
Transaction outcomes and gas patterns
The most immediate signal is a high incidence of reverted transactions that nonetheless show significant gas consumption. A transaction status of revert combined with a large gasUsed value indicates an attempted state change that failed after work was done. Not all reverts indicate arbitrage, but when reverts cluster around swaps, pair contract calls, or flashloan repayment steps they often mark failed arbitrage attempts. Call traces and internal transactions reveal attempted sequences: borrow from a lending pool, attempt swaps across liquidity pairs, and repay. When the internal call to a pair contract reverts due to slippage, insufficient liquidity, or front-running, the overall transaction fails while the gas bill remains. Flashbots Research at Flashbots has repeatedly highlighted that MEV activity contributes a measurable share of reverted, high-fee transactions in Ethereum mempools.
Behavioral, timing, and balance indicators
Searchers typically retry with tight timing and escalating fees, producing chains of transactions from the same externally owned account with increasing gasPrice or maxPriorityFeePerGas. Such nonce-sequenced retries that still end reverted are strong behavioral signals of failed arbitrage. On-chain token balance snapshots before and after the attempted block can show that a supposed profit transfer never materialized; instead the EOA or smart-contract intermediary is down by the gas cost. These patterns often concentrate during volatile market events, amplifying consequences for ordinary traders who face higher fees and slippage.
Failed arbitrage attempts have broader consequences. They waste gas and therefore energy, imposing environmental cost on proof-of-work era chains and economic cost on searchers and miners/validators alike. They increase mempool congestion, raising user fees and degrading UX for geographically or economically vulnerable users. The persistence of visible failures has driven development of mitigation tools such as private relay services and permissioned bundles to reduce public mempool leakage, a response documented in industry analyses by Flashbots Research at Flashbots and academic work by Philip Daian at Cornell University. Understanding these on-chain traces is essential for forensic analysis, policy discussion, and engineering defenses against harmful MEV dynamics.