Main to remember
- ChainLink is associated with Intercontinental Exchange to deliver FX and precious metal pricing data.
- Collaboration allows more than 2,000 applications to access data from the institutional quality market via ChainLink data flows.
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ChainLink, one of the best Oracle networks for real world data on chain, has teamed up with Intercontinental Exchange (ICE), which manages the New York Stock Exchange (NYSE), to integrate Consolidated Data Flows on Monday into the ChainLink data flows, the companies announced.
ICE foods draw market prices from more than 600 sources and 300 global sites, offering multi-sampling coverage through actions, fixed income securities, FX, basic products, etc.
The collaboration will put secure FX and precious Metals at the disposal of more than 2,000 applications, banks, asset managers and infrastructure suppliers supplied by chain, improving the reliability of the DEFI markets.
“With the content of more than 300 world exchanges and markets, the Consolidated ICE flow offers structured and structured multi-network class data to banks, asset managers and ISV located worldwide,” said Maurisa Baumann, VP, global data delivery platforms at ICE. “We are happy to work with Chainlink to provide safely and reliably data for the chain markets, which is an important step in the growth of the world blockchain economy.”
Companies consider integration as a key step towards the mass tokenization of active active people, the market providing for 30.1 billions of dollars. Chainlink called The Move as a “moment of the watershed” to build a unified and accessible global chain financial system which could possibly include hundreds of billions of dollars in assets.
“The use of Consolidated ICE food data as an entry into FX metal rates and precious derivatives of ChainLink on the institutional quality infrastructure of Chainlink is a moment of the watershed in the evolution of the global markets,” said Fernando Vazquez, president, march capital of Chainlink Labs.
Chainlink data flows provide high -speed and high frequency market data, allowing DAPPs to check them directly on the chain. Unlike oracles based on the thrust that updates at fixed moments, this model -based model allows applications to recover and validate the data instantly, often in less than a second. The result is secure and in real time for products sensitive to latency such as perpetual future and token financial instruments.
The main projects that have adopted chain data flows include the base, the avalanche and optimism, among others.
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