Chainlink has introduced a new product called Data Streams, which provides live price data for large US shares and listed funds (ETFs) directly on blockchain networks.
According to a August 4 rackData Streams is designed to offer live lattice data about large US shares and ETFs, including popular assets such as Spy, QQQ, NVDA, AAPL and MSFT.
These data flows are now live in 37 blockchain networks, making innovative use cases such as tokenized stock trade, eternal futures and synthetic ETFs possible.
Chainlink’s data stream
Data flows collect real-time data from multiple primary and backup sources to guarantee continuous uptime. This information is processed via Chainlink’s Decentralized Oracle Networks (DONs) and supplied to chain using a structured format.
It is important that every data point is time stamp, so that platforms can distinguish between fresh and outdated prices. This function also supports the automatic suspension of trade during market closures, so that trade is paused during the hours.
These innovations enable developers to build advanced financial products, such as perpetual contracts, loans and loan platforms, synthetic ETFs and other complex financial instruments.
With the RWA market as expected $ 30 trillion by 2030, this infrastructure is becoming increasingly void for guaranteeing safety and scalability in tokenized stock markets.
The Chainlink’s Chief Business Officer, Johann Eid, noted that data flows are essential when bridging the gap between traditional finances and blockchain technology.
According to him:
“This is an important leap forward for tokenized markets – the relief of a critical gap between traditional finances and blockchain infrastructure.”
The Top Defi protocols such as GMX and Kamino Finance in particular have already adopted data flows.
Speaking of integration, the co-founder of Kamino Finance, Thomas Short, emphasized that data flows would help the platform to improve his user experience by offering a seamless interface while maintaining trust and security for supported projects.
He added:
“The launch of data flows for US shares and ETFs is a crucial milestone for a truly composite onchain -finance system that corresponds to the scale and refinement of traditional markets.”