Frontrunning Risks

Frontrunning risks occur when an actor observes a pending transaction in the mempool and submits their own transaction with a higher fee to be processed first. By doing so, the attacker can exploit the price impact of the original transaction.

This is a classic example of behavioral game theory in an adversarial environment. For instance, if a user attempts to buy a large amount of a token, the frontrunner can buy it first, wait for the price to rise, and then sell it to the original buyer.

This predatory behavior extracts value from the user and increases their slippage. Traders mitigate this risk by using private transaction relays or by splitting large orders into smaller pieces.

It is a major concern for liquidity providers and those trading on decentralized exchanges. The risk is inherent to the transparent nature of the public mempool.

Market participants must be aware of these dynamics to avoid being exploited by bots. It is a constant battle between transparency and execution privacy.