Introduction: introductory paragraph
With the development of DeFi, the connection between traditional financial data and blockchain has become increasingly important. Therefore, a bridge is needed to bring traditional data onto the chain. As a result, numerous oracles have emerged, and they have played a significant role in bringing traditional data onto the chain. Among them, one of the outstanding ones is @PythNetwork.
With the development of DeFi, the connection between traditional financial data and blockchain has become increasingly important. Therefore, a bridge is needed to bring traditional data onto the chain. As a result, numerous oracles have emerged, and they have played a significant role in bringing traditional data onto the chain. Among them, one of the outstanding ones is @Pyth Network .
〔What's different about Pyth?〕
Traditional oracles have two major drawbacks: slow data updates and susceptibility to errors. Pyth chooses to source data directly from the first-hand sources, reducing the errors that occur when information is passed through multiple hands and ensuring the accuracy and authenticity of the data. Its suppliers include some of the world's largest exchanges, market makers, and financial service providers, which provide exclusive data for the #PythRoadmap. Meanwhile,$PYTH can achieve data updates every 400 milliseconds. Due to the efficiency and accuracy of PYTH data, quantitative giants like Two Sigma, the Chicago Exchange, and renowned market maker Wintermute have all chosen to collaborate with it. PYTH serves subscription products for institutional-level data, and institutions choose to adopt its services also because of Pyth's reliable and comprehensive market data sources.
Traditional oracles have two major drawbacks: slow data updates and susceptibility to errors. Pyth takes a direct approach by sourcing data from the first-hand sources, reducing the errors that occur when information is passed through multiple hands and ensuring the accuracy and authenticity of the data. Its suppliers include some of the world's largest exchanges, market makers, and financial service providers, which offer exclusive data for the #PythRoadmap. Meanwhile, $PYTH can update data every 400 milliseconds. Due to the efficiency and accuracy of PYTH data, quantitative giants like Two Sigma, the Chicago Exchange, and renowned market maker Wintermute have all chosen to collaborate with it. PYTH serves subscription products for institutional-level data, and institutions choose to adopt its services because of its reliable and comprehensive market data sources.
The emergence of $PYTH as the native token has facilitated the incentive mechanism for contributors and the distribution of DAO income.
The emergence of $PYTH as the native token has facilitated the incentive mechanism for contributors and the distribution of DAO income.
〔This article belongs to personal research and does not constitute investment advice〕
〔This article is for personal research purposes only and does not provide any investment advice.〕
