Liquidation isn’t firefighting—it’s bookkeeping.
Using the same leveraged position across three protocols under stress tests, TermMax’s liquidation trigger is slower, but not without reason. The liquidation penalty is split into two parts: one goes into the insurance pool, and the other is paid back to the liquidator. This kind of structure is uncommon among competitors. The $TERM price doesn’t seem to react to this layer of design; the market just treats it as a governance token. $NVDAB
Aave v3 has tighter liquidation lines. Oracles update faster, and after triggering, a fixed discount essentially forces a fire-sale. TermMax provides a wider buffer band in the collateralization ratio, with aggressive slippage protection, leaving thin margins for liquidators. In extreme market conditions, orders might not get picked up—bad debt risk is pushed further out. $TERM holders don’t directly bear the risk, but the insurance pool’s coverage scope is ambiguous.
Compared with Compound, Compound’s liquidation penalties are transparent. The mechanism is old, but steady. TermMax’s advantage is its interest-rate term structure: during liquidation, it discounts positions that haven’t reached maturity based on the curve. It feels more like fixed-income loss containment than an immediate closeout. User-friendly on one side, but it’s costly for liquidators—the scripts can’t run their required interface calls. If $TERM can’t incentivize professional liquidators, liquidity will disappear when it matters most.
There’s also a practical detail: on TermMax, liquidation events are delayed by a dozen or more blocks on the UI. The on-chain state has already changed, yet the frontend still shows “safe.” It’s not a core failure, but it seriously affects judgment. Euler’s frontend synchronization is better. TermMax documentation is rather concise; parameter changes don’t have clear version records, and after the $TERM collateral module went live, the user experience didn’t improve noticeably.
Overall, the liquidation design shows intent, but execution details still fall short. $TERM’s value capture isn’t yet clearly tied to liquidation revenue. @TermMax #termmax
Using the same leveraged position across three protocols under stress tests, TermMax’s liquidation trigger is slower, but not without reason. The liquidation penalty is split into two parts: one goes into the insurance pool, and the other is paid back to the liquidator. This kind of structure is uncommon among competitors. The $TERM price doesn’t seem to react to this layer of design; the market just treats it as a governance token. $NVDAB
Aave v3 has tighter liquidation lines. Oracles update faster, and after triggering, a fixed discount essentially forces a fire-sale. TermMax provides a wider buffer band in the collateralization ratio, with aggressive slippage protection, leaving thin margins for liquidators. In extreme market conditions, orders might not get picked up—bad debt risk is pushed further out. $TERM holders don’t directly bear the risk, but the insurance pool’s coverage scope is ambiguous.
Compared with Compound, Compound’s liquidation penalties are transparent. The mechanism is old, but steady. TermMax’s advantage is its interest-rate term structure: during liquidation, it discounts positions that haven’t reached maturity based on the curve. It feels more like fixed-income loss containment than an immediate closeout. User-friendly on one side, but it’s costly for liquidators—the scripts can’t run their required interface calls. If $TERM can’t incentivize professional liquidators, liquidity will disappear when it matters most.
There’s also a practical detail: on TermMax, liquidation events are delayed by a dozen or more blocks on the UI. The on-chain state has already changed, yet the frontend still shows “safe.” It’s not a core failure, but it seriously affects judgment. Euler’s frontend synchronization is better. TermMax documentation is rather concise; parameter changes don’t have clear version records, and after the $TERM collateral module went live, the user experience didn’t improve noticeably.
Overall, the liquidation design shows intent, but execution details still fall short. $TERM’s value capture isn’t yet clearly tied to liquidation revenue. @TermMax #termmax