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Home Research Guides Technical Analysis Decoding MEV: How Searchers, Block Builders, and Sandwich Bots Frontrun DEX Swaps
Technical Analysis

Decoding MEV: How Searchers, Block Builders, and Sandwich Bots Frontrun DEX Swaps

Elena Rostova
Senior Derivatives Analyst
8 min read October 28, 2024
Executive Brief & Key Findings
How Maximum Extractable Value (MEV) works, analyzing sandwich attacks, backrunning, Flashbots Protect, and slippage controls.
Fact-checked & verified by Quantitative Crypto Research Desk Topic: Technical Analysis
Decoding MEV: How Searchers, Block Builders, and Sandwich Bots Frontrun DEX Swaps
Quantitative Research Desk Technical Analysis

Key Quantitative Takeaways

  • Maximum Extractable Value (MEV) is the profit miners/validators extract by reordering, including, or censoring transactions in a block.
  • Sandwich attacks frontrun a pending DEX trade with a buy order and immediately backrun it with a sell order to capture profit.
  • Searchers deploy automated bots that scan the public mempool for profitable arbitrage and liquidation opportunities.
  • Using private RPC endpoints (like Flashbots Protect or MEV-Blocker) hides your transactions from public mempool bots.

Maximum extractable value, or MEV, refers to profit that specialized actors extract by reordering, inserting, or censoring transactions in a block before it's confirmed. On decentralized exchanges this most often shows up as frontrunning, where a bot spots a pending trade in the public mempool and inserts its own transactions around it to profit at the trader's expense.

Why the public mempool is the weak point

When you submit a trade on a decentralized exchange, it doesn't settle instantly. It sits in a public queue called the mempool while validators decide which transactions to include in the next block. Anyone can watch that queue, and MEV searchers run algorithms specifically to spot profitable trades sitting there and pay higher gas fees to get their own transactions processed first. The value they extract comes directly out of the original trader's execution price.

Reducing slippage exposure

Wallets often default slippage tolerance to 2% or 3%, which leaves a wide profit margin for a sandwich bot to work within. Tightening that to somewhere between 0.1% and 0.5% on liquid pairs shrinks the room a bot has to extract value, though setting it too tight can cause legitimate trades to fail during normal price movement.

Routing around the public mempool

Private RPC endpoints such as Flashbots Protect or MEV-Blocker send a transaction directly to block builders instead of broadcasting it publicly, which means searchers never see it sitting in a queue to attack. Batch-auction, intent-based exchanges like CoW Swap take a different approach entirely, matching trades peer-to-peer off-chain before they ever touch the public order flow, which removes the frontrunning opportunity at its source rather than just making it harder to execute.

Elena Rostova

VERIFIED QUANTITATIVE AUTHOR

Senior Derivatives Analyst

Elena Rostova specializes in algorithmic cryptocurrency modeling, orderbook microstructure, and multi-timeframe liquidity sweeps. Every guide undergoes quantitative peer review for mathematical rigor and floor execution realism.

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