Chainlink launches real-time US equities data streams on 37 blockchains
Chainlink has launched a brand new product referred to as Knowledge Streams, which delivers reside pricing knowledge for main US equities and exchange-traded funds (ETFs) immediately onto blockchain networks.
In accordance with an Aug. 4 statement, Knowledge Streams is designed to supply reside, low-latency knowledge on main US shares and ETFs, together with fashionable belongings like SPY, QQQ, NVDA, AAPL, and MSFT.
These knowledge streams are actually reside throughout 37 blockchain networks, enabling the creation of revolutionary use-cases equivalent to tokenized inventory buying and selling, perpetual futures, and artificial ETFs.
Chainlink’s knowledge stream
Knowledge Streams combination real-time knowledge from a number of main and backup sources to make sure steady uptime. This data is processed by way of Chainlink’s decentralized oracle networks (DONs) and delivered on-chain utilizing a structured format.
Importantly, every knowledge level is timestamped, permitting platforms to distinguish between recent and outdated costs.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, guaranteeing 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 advanced monetary devices.
With the RWA market projected to succeed in $30 trillion by 2030, this infrastructure is turning into more and more important for guaranteeing safety and scalability in tokenized fairness markets.
Chainlink’s Chief Enterprise Officer, Johann Eid, remarked that Knowledge Streams are important in bridging the hole between conventional finance and blockchain know-how.
In accordance with him:
“This can be a important leap ahead for tokenized markets—closing a crucial hole between conventional finance and blockchain infrastructure.”
Notably, high DeFi protocols like GMX and Kamino Finance have already adopted Knowledge Streams.
Talking on the mixing, Kamino Finance’s co-founder, Thomas Quick, emphasised that Knowledge 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 Knowledge Streams for US equities and ETFs is a crucial milestone towards a very composable onchain monetary system that matches the size and class of conventional markets.”
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