When market volatility becomes intense, the first to reveal issues in DeFi are often the data layer. Latencies and deviations that are hard to notice under normal conditions can amplify liquidation, slippage, and chain risks during extreme market movements.

The true solution is not flashy marketing but treating data as a long-term engineering effort—redundant multi-source feeds, anomaly self-checks, and fallback mechanisms—only then can the entire protocol withstand pressure environments without collapsing.

From a user’s perspective, what does this mean? Pricing won’t suddenly become inexplicably off, liquidation processes will be more transparent and orderly, and the system won’t suddenly experience a "mysterious loss." For developers and project teams, a trustworthy data foundation essentially eliminates endless maintenance costs and uncertainties in innovation.

If you’re evaluating long-term infrastructure projects, focus on two points: whether it remains stable under extreme market conditions, and whether there is real adoption within the ecosystem. Those underlying systems that can support the system under pressure are often rewarded with trust premiums in the next growth cycle.