Chainlink has launched a brand new product referred to as Knowledge Streams, which delivers stay pricing knowledge for main US equities and exchange-traded funds (ETFs) instantly onto blockchain networks.
In response to an Aug. 4 assertion, Knowledge Streams is designed to supply stay, low-latency knowledge on main US shares and ETFs, together with well-liked belongings like SPY, QQQ, NVDA, AAPL, and MSFT.
These knowledge streams at the moment are stay throughout 37 blockchain networks, enabling the creation of modern use-cases reminiscent of tokenized inventory buying and selling, perpetual futures, and artificial ETFs.
Chainlink’s knowledge stream
Knowledge Streams mixture real-time knowledge from a number of main and backup sources to make sure steady uptime. This info 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Importantly, every knowledge level is timestamped, permitting platforms to distinguish between contemporary and outdated costs. This characteristic 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 complicated monetary devices.
With the RWA market projected to achieve $30 trillion by 2030, this infrastructure is turning into more and more very 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 response to him:
“This can be a vital leap ahead for tokenized markets—closing a important hole between conventional finance and blockchain infrastructure.”
Notably, high DeFi protocols like GMX and Kamino Finance have already adopted Knowledge Streams.
Talking on the combination, 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 important milestone towards a really composable onchain monetary system that matches the dimensions and class of conventional markets.”
