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Chainlink launches real-time US equities data streams on 37 blockchains

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By Aggregated - see source on August 4, 2025 Trading
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Chainlink has introduced a new product called Data Streams, which delivers live pricing data for major US equities and exchange-traded funds (ETFs) directly onto blockchain networks.

According to an Aug. 4 statement, Data Streams is designed to offer live, low-latency data on major US stocks and ETFs, including popular assets like SPY, QQQ, NVDA, AAPL, and MSFT.

These data streams are now live across 37 blockchain networks, enabling the creation of innovative use-cases such as tokenized stock trading, perpetual futures, and synthetic ETFs.

Chainlink’s data stream

Data Streams aggregate real-time data from multiple primary and backup sources to ensure continuous uptime. This information is processed through Chainlink’s decentralized oracle networks (DONs) and delivered on-chain using a structured format.

Importantly, each data point is timestamped, allowing platforms to differentiate between fresh and outdated prices. This feature also supports the automatic suspension of trading during market closures, ensuring that trading is paused during off-hours.

These innovations enable developers to build advanced financial products like perpetual contracts, lending and borrowing platforms, synthetic ETFs, and other complex financial instruments.

With the RWA market projected to reach $30 trillion by 2030, this infrastructure is becoming increasingly vital for ensuring security and scalability in tokenized equity markets.

NemoNemo

Chainlink’s Chief Business Officer, Johann Eid, remarked that Data Streams are essential in bridging the gap between traditional finance and blockchain technology.

According to him:

“This is a significant leap forward for tokenized markets—closing a critical gap between traditional finance and blockchain infrastructure.”

Notably, top DeFi protocols like GMX and Kamino Finance have already adopted Data Streams.

Speaking on the integration, Kamino Finance’s co-founder, Thomas Short, emphasized that Data Streams would help the platform enhance its user experience by providing a seamless interface while maintaining trust and security across supported projects.

He added:

“The launch of Data Streams for US equities and ETFs is a critical milestone toward a truly composable onchain financial system that matches the scale and sophistication of traditional markets.”

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