{"content":"@PythNetwork : First-Party Oracles Change the Way On-Chain Market Data Works ⚡📊 Market data must be accurate and trustworthy for decentralized finance (DeFi). Prices allow you sell stuff and keep the system running smoothly. Most oracles acquire their information from nodes that aren't their own. This may cause problems with speed, accuracy, and security. From a first-party point of view, #PythRoadmap is the best financial oracle. $PYTH gets its data from exchanges, trading businesses, and banks that make market data. Normal oracle models work in a number of different ways. Pyth doesn't use relayers from other companies to make sure that pricing feeds are safe, clear, and up to current. This architecture links blockchain apps to the biggest financial data sites in the world. Pyth is amazing since it works swiftly and accurately. If DeFi devices utilize old price feeds, they may not work well since markets change every millisecond. Pyth's low-latency network updates decentralized applications with real-world events multiple times a second. There are hundreds of price feeds for stocks, cryptocurrencies, foreign currencies, and other things. It is easy for developers to link these feeds to trading platforms, derivatives markets, stablecoins, and other DeFi apps that need real-time data. Pyth should have been open and safe. To make sure that updates are genuine, data providers use encryption. You can't edit statistics once they've been put together. It may be easier for protocols and users to believe what they see. With DeFi, having the right data will be more and more important. The first-party oracles from Pyth Network represent a big step forward. It cuts out extra middlemen, which helps things go faster, safer, and better for financial data. Pyth will be the standard for decentralized financial infrastructure in the future, and it will help both builders and users.","images":["https://d2kdcqywr8ua22.cloudfront.net/uploadfile/article/blog/2025092025/09/04/a16f03365f23423b9148bc5ba4843281.png"],"tags":[],"tradingPairs":["PYTH/USDT"],"quotearticleid":0}