Optimization Challenges

Constraint

Managing decentralized liquidity pools requires balancing capital efficiency against the inherent risks of impermanent loss in automated market makers. Traders often face non-linear execution costs due to high network latency and fluctuating gas fees, which compress expected returns on arbitrage strategies. These limitations demand rigorous mathematical modeling to ensure that position sizing remains resilient during periods of extreme market stress.