Aave faces a critical transition period. With V4 now live and core risk infrastructure in flux, V3 will demand sustained oversight for months or potentially years before migration concludes. Understanding the liquidation exposure embedded in V3's current user base is essential for anyone assuming risk management duties during this prolonged handoff. A recent deterministic simulation of 159 active positions on Ethereum mainnet provides exactly that clarity, mapping cascade risk under severe ETH price declines with transaction-level precision.
Rather than relying on statistical models or probabilistic estimates, this analysis executes the exact health factor computation that Aave's liquidation logic would perform on-chain. The methodology forks live Ethereum mainnet state using REVM—the Rust EVM implementation powering both Reth and Foundry—then applies price shocks by replacing Chainlink aggregator bytecode with mock contracts. Volatile assets like WETH, WBTC, wstETH, cbETH, and rETH are shocked proportionally, while stablecoins maintain their $1 peg. The getUserAccountData() function then runs against this modified state, producing deterministic outputs identical to what Aave's contracts would compute under those exact market conditions. The 159 positions analyzed represent a filtered subset sourced from The Graph Aave V3 subgraph, capturing accounts with health factors below 1.3.
The findings reveal a sharp liquidation cliff between $2,000 and $1,500 ETH. At current prices around $2,231, no positions in the analyzed set face immediate liquidation risk. However, a 10% drop to $2,000 triggers 10 positions with $3.1 million in collateral exposure. A steeper 33% decline to $1,500 expands this to 56 positions and $25.4 million at risk. At $1,200—a 46% pullback—75 positions become liquidatable, with collateral exposure jumping to $126.9 million. The curve flattens slightly at $1,000, where 80 positions and $127.9 million remain vulnerable. This nonlinear risk profile matters: moderate volatility causes manageable liquidations, but sustained downside pressure beyond $1,500 could trigger cascading events that stress Aave's liquidation infrastructure and market conditions simultaneously.
The concentration of risk between $2,000 and $1,500 highlights a critical coordination problem. Liquidators operating during such a shock would compete for position unwinding while market volatility peaks, potentially degrading execution quality and exacerbating losses for underwater borrowers. As Aave navigates this transition, such deterministic risk snapshots will inform governance decisions about safety parameters, liquidation incentives, and migration timelines for V3 positions into V4's enhanced risk framework.