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Diphunter ¤
@Diphunter18
Member of @FraxForce
参加 August 2025
207 フォロー中    378 ファン
The easiest way to understand LLAMMA is to forget everything you know about traditional liquidations for a minute. Imagine you deposit ETH as collateral and mint $crvUSD. As long as ETH trades comfortably above your liquidation range, nothing happens. Your collateral remains entirely in ETH. Now ETH starts to fall. Like other lending protocols, @llamalend also tracks the health of your position through a health factor. The difference is what happens as that health deteriorates. On traditional lending protocols, a low health factor eventually leads to a liquidation event. In LlamaLend, the position enters a liquidation range where LLAMMA starts managing the collateral gradually instead of waiting for one final trigger. Think of these bands as checkpoints rather than trigger points. As the market moves through each band, LLAMMA gradually rebalances your position. A small portion of your ETH is exchanged for crvUSD. If the price continues to fall, more collateral is gradually converted. There is no single moment where everything suddenly changes. The transition is continuous. That's why Curve calls it a soft liquidation. The interesting part comes next. If ETH recovers before moving through the entire range, LLAMMA starts working in the opposite direction. The AMM gradually converts crvUSD back into ETH. Your position doesn't simply survive. It can partially rebuild itself as the market recovers. This is also why LLAMMA depends on external price oracles. The protocol always needs to know where the market is trading so it can determine which price band the position currently occupies. None of this means losses disappear. If the market remains inside the liquidation range for a long time, or continues falling without recovering, part of the collateral may still be sold at lower prices. Soft liquidations reduce the shock of traditional liquidations. They don't eliminate market risk. That trade-off is exactly what makes LLAMMA so interesting to me. It accepts that volatility cannot be removed. Instead, it changes how the protocol responds to it. In the next post, I'll walk through a complete crvUSD position step by step, so you can see exactly what happens as the price moves through each band.
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Traditional lending systems are built around a simple assumption. At some point, a position reaches a level where action has to be taken. A user deposits collateral and borrows against it. The position remains healthy as long as the collateral value stays above a certain threshold. Once that threshold is crossed, liquidation begins. This model has powered a large part of DeFi lending. Money markets like @aave work by connecting borrowers with liquidity supplied by other users. Users deposit assets into a pool, and borrowers take liquidity from that pool. CDP systems like $crvUSD follow a different structure. Users provide collateral and mint a new stablecoin against their position, creating additional stablecoin supply that can be used throughout the ecosystem. The structures are different, but both systems face the same fundamental question: What happens when markets move quickly? A sharp price drop can push many positions toward liquidation at the same time. The protocol needs to protect itself, liquidators step in, collateral is sold, and the borrower's position changes immediately. The mechanism works exactly as designed. The challenge is the transition itself. A position can move from healthy to liquidated because of a short period of volatility. The market moves continuously, but liquidation usually happens at a specific moment. That gap is where Curve focused its research. Instead of only optimizing the existing liquidation process, Curve redesigned how collateral reacts to changing market conditions. This idea became LLAMMA. Lending-Liquidating AMM Algorithm. The core concept is simple. Collateral does not move directly from "safe" to "liquidated". LLAMMA creates a gradual process where collateral can shift between assets as the market moves. This is known as a soft liquidation. When collateral prices move against the borrower, LLAMMA gradually converts parts of the collateral into the borrowed stablecoin. If the market recovers, the process can reverse and the position can move back toward its original state. The position continues to exist. The system adapts. The key innovation behind this design is the use of price bands. Instead of one liquidation point, collateral is distributed across different price ranges. As the market moves through these ranges, the AMM continuously adjusts the position. Risk becomes something that changes over time instead of something that suddenly switches on. This changes the relationship between borrowers, protocols, and liquidators. The goal is to manage collateral throughout the entire movement of the market. This follows the same design philosophy that has shaped @CurveFinance from the beginning. StableSwap redesigned how stable assets trade. veCRV redesigned how governance power is created. Gauges redesigned how liquidity incentives are allocated. LLAMMA redesigned how collateral risk can be managed. The mechanism behind LLAMMA is what gives crvUSD a fundamentally different approach to collateral management. The next step is looking at a real example. What actually happens when someone opens a crvUSD loan, the collateral price falls, and the position moves through different price bands?
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