⚠️ A few days ago, Aave experienced a major incident—a technical misconfiguration caused a price oracle failure, leading to $27 million in liquidations. I took a look, and actually, Aave's oracle design itself isn’t the problem. Most assets directly use Chainlink, but for assets like wstETH, Aave adds an extra layer of CAPO on top of Chainlink, using upper/lower limits and parameter adjustments to manage prices. But the downside is pretty obvious— As the number of assets grows, relying on just one original feed to manage everything becomes almost impossible. Once you introduce manual parameters, there’s bound to be configuration risks. Incidents like this have actually happened quite a few times in DeFi history. Compound also had oracle discrepancies in its early days that led to abnormal liquidations. You could say the safety boundary of lending protocols is essentially the oracle. In comparison, Spark @sparkdotfi has a more advantageous design: It integrates three oracle feeds—RedStone, Chainlink, and Chronicle. These data sources cross-validate each other, and if one feed shows a significant deviation, the system can ignore it or pause the market. For assets like wstETH, Spark doesn’t even bother designing extra price logic. Instead, it directly reads the stETH exchange rate and combines it with ETH prices, aiming to keep the price as close to the asset itself as possible. Spark’s approach to this issue reflects a risk-aware attitude toward building financial infrastructure: prioritize avoiding misjudgments first, then focus on speed. This is quite different from the logic of many lending protocols that prioritize rapid expansion from the start. This might also be why many big players are now shifting their positions toward Spark. In DeFi, the market closest to money, one word matters most: stability. Nothing beats that!