During periods of intense market volatility, there is a risk that is often overlooked—it doesn't originate from the market itself, but from the data layer. Price feed delays, information deviations, emergency handling flaws—these can instantly turn otherwise controlled positions into black swan events. Once the data chain collapses, all strategic judgments lose their basis, and the foundation of decision-making is completely shaken.

WINkLink's main focus is to make this data chain transparent and verifiable. Aggregating multiple data sources can reduce bias risks, and an auditable mechanism means no black-box operations. Interface design is more aligned with the actual needs of the protocol. As a result, projects can build more detailed risk control systems, significantly reducing cases of abnormal liquidation, and during stressful market conditions, they are less likely to suffer additional losses due to "data failures."

If you are involved in pricing-related products within the TRON ecosystem, it is recommended to prioritize the quality of oracles and data layers as the first step in due diligence. A solid foundation allows strategies to go further.