Chainlink has launched a brand new product referred to as Data Streams, which delivers reside pricing data for main US equities and exchange-traded funds (ETFs) immediately onto blockchain networks.
In accordance with an Aug. 4 statement, Data Streams is designed to supply reside, low-latency data on main US shares and ETFs, together with well-liked belongings like SPY, QQQ, NVDA, AAPL, and MSFT.
These data streams are actually reside throughout 37 blockchain networks, enabling the creation of progressive use-cases resembling tokenized inventory buying and selling, perpetual futures, and artificial ETFs.
Chainlink’s data stream
Data Streams combination real-time data from a number of main and backup sources to make sure steady uptime. This info is processed via Chainlink’s decentralized oracle networks (DONs) and delivered on-chain utilizing a structured format.
Importantly, every data level is timestamped, permitting platforms to distinguish between recent and outdated costs. This function additionally helps the automated suspension of buying and selling throughout market closures, making certain that buying and selling is paused throughout off-hours.
These improvements allow builders to construct superior monetary merchandise like perpetual contracts, lending and borrowing platforms, artificial ETFs, and different complicated monetary devices.
With the RWA market projected to succeed in $30 trillion by 2030, this infrastructure is turning into more and more important for making certain safety and scalability in tokenized fairness markets.
Chainlink’s Chief Enterprise Officer, Johann Eid, remarked that Data Streams are important in bridging the hole between conventional finance and blockchain know-how.
In accordance with him:
“This can be a vital leap ahead for tokenized markets—closing a vital hole between conventional finance and blockchain infrastructure.”
Notably, prime DeFi protocols like GMX and Kamino Finance have already adopted Data Streams.
Talking on the mixing, Kamino Finance’s co-founder, Thomas Brief, emphasised that Data Streams would assist the platform improve its person expertise by offering a seamless interface whereas sustaining belief and safety throughout supported tasks.
He added:
“The launch of Data Streams for US equities and ETFs is a vital milestone towards a really composable onchain monetary system that matches the size and class of conventional markets.”
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