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Financial models may seem flawless during calm periods. But the true test often comes from sudden, intense volatility.
Imagine a scenario: the market crashes 30% in one day. What happens?
First, there's a strange contradiction. On one hand, speculators rushing to buy the dip borrow stablecoins (like USD1), pushing up borrowing rates; on the other hand, collateral prices plummet, causing many positions to fall below collateralization ratios and face liquidation. Meanwhile, panicked depositors withdraw en masse, and available lending funds rapidly shrink. This is a critical moment.
At this point, the lending market faces several tests. Can a 30% borrowing rate cap control runaway costs? Can isolation market design prevent liquidity shortages in a trading pair (like BNB/USD1) from spreading? During chaotic exchange quotes, can oracles still provide reliable data? Can the liquidation system efficiently and fairly handle the surge in liquidation orders without causing even greater slippage?
Only extreme market conditions can truly validate these systems. But clues can be gleaned from historical patterns: observing moderate declines (10-15%) in the past, analyzing changes in spreads across major trading pairs, liquidation volumes, and deviations in stablecoin pegs. A truly robust protocol should demonstrate resilience in these indicators, not fragility.
A key reminder for active traders: be even more cautious when the market is hot. Keep a sufficient safety margin in your collateral ratio, because during extreme events, actual liquidation prices tend to be worse than expected. Also, understand a harsh reality: the liquidity in the protocols you participate in is not infinite. When the storm hits, liquidity itself becomes the most scarce asset.