{"content":"Confidence Intervals: Smarter Risk Management Most oracles deliver a single price point, but markets are uncertain by nature. Pyth introduces confidence intervals, publishing prices alongside statistical ranges that quantify uncertainty. This empowers protocols to build smarter liquidation systems, adaptive collateral requirements, and risk-aware products. For example, lending platforms can avoid unnecessary liquidations during volatile swings, while derivatives platforms can design more resilient pricing models. Confidence intervals make data not just faster, but more intelligent. #PythRoadmap @PythNetwork $PYTH ","images":["https://d2kdcqywr8ua22.cloudfront.net/uploadfile/article/blog/2025092025/09/21/fbaae9b1273f4e3994b5e45657eb5e94.png"],"tags":[],"tradingPairs":["PYTH/USDT"],"quotearticleid":0}