Chainlink connects Wall Street with blockchain with live US Equity and ETF data

The blockchain abstraction layer continues to close the gap between traditional and DLT markets.

This latest function brings tokenized US shares and ETFs to the blockchain, making these assets the clock around easily and available.

Promote the tokenisation market

Chainlink, a bridge between Real-World data and blockchain, shared Yesterday about a flagship product – data flows for the American Equity and ETF market. Various Defi protocols are already on board, such as GMX, GMX Solana and Kamino.

Already integrated into leading shares and exhibition-related funds (ETFs), the data flows offer real-time prices for traditional financial assets (Trandfi), including CRCL, QQQ, NVDA, MSFT and much more, over 37 blockchain networks.

Developers now have access to live, contextual data for these markets directly on-chain, making tokenized stock trade, eternal futures and synthetic ETFs possible, all supported by institutional reliability. Progress also brings a selection of new functions, such as maintaining market hours, detection of staleness and high -frequency prices.

“With the fast, reliable and context-rich market data from Chainlink Data Streams, targeted production data that is aimed at US shares and ETFs that are now being launched directly on the chain can be launched.

This is an important leap forward for tokenized markets, making a critical gap between traditional finances and blockchain infrastructure.

We are pleased to work with Kamino and GMX, two progressive Defi-teams whose work continues to accelerate the convergence of Tradefi and Defi. ” – Johann Eid, Chief Business Officer at Chainlink Labs.

To set up a reliable on-chain exchange for these assets, fast and high integrity market data would require. Crypto markets work 24/7, while traditional that does not, and they can also suffer from incidental interference, which is a challenge for non-stop, decentralized applications (Dapps). This can include price slats, inaccuracies in off-market data and malfunctions.

How will it work

Chainlink -data flows will be aggregated from multiple primary and back -up data sources, which improves uptime and reliability. This aggregated data is then processed by decentralized Oracle Networks (DONs) and sent on chain via a structured schedule.

Each data point becomes time stamp, so that protocols can identify the differences between current and historical prices, automatically pausge during the market outside the hours and implement real -time risk management.

This data schedule is designed for advanced Defi composability, because it offers structured prices that helps with accurate liquidations, trading stops, strategy adjustments and collateral valuation. It will also be able to distinguish between Real-World prices that have been taken from traditional, open markets and prices of tokenized shares that are available 24/7. This can open the door for arbitration options and strategies for risk management.

Some use cases for the products that have been switched on through the data flows are perpetuals, loans/borrowing, hole protocols, brokerage platforms and more.