Chainlink Expands On-Chain Access to U.S. Stocks With 24/5 Market Data

TheNewsCryptoPublicado em 2026-01-21Última atualização em 2026-01-21

Resumo

Chainlink has launched "24/5 U.S. Equities Data Streams," a new service providing blockchain applications with continuous access to U.S. stock and ETF market data, including real-time prices, bid/ask quotes, and trading volume, even outside traditional market hours. This addresses a critical gap in DeFi, where outdated after-hours data previously increased risks for derivatives, lending, and synthetic assets. The service, which went live on January 20, 2026, and is operational in over 40 countries, is already being used by major platforms like Lighter and BitMEX Apex. It supports the growth of on-chain financial products and aligns with broader industry and regulatory interest in 24/7 markets.

Chainlink has launched a new tool that lets blockchain apps access U.S. stock and ETF prices around 24/5. This service is named 24/5 U.S. Equities Data Streams and went live on January 20, 2026. This provides the current stock price, buy and sell price, and trading volume even after the market hours.

Right now U.S.stock market closes on weekends and at night. After the market hours, prices on the crypto apps become old and inaccurate, which increases risk for the DeFi products like derivatives, lending, and synthetic stocks. Now Chainlink delivers the tool to solve the problem by keeping stock prices updated before the market opens, closes, and overnight.

Chainlink fixes this problem by giving the accurate stock prices even when the markets are closed, which helps the Defi apps to track stock-based tokens anytime, can run prediction markets using the real prices, and offers loans and borrowing based on stock value without using old or inaccurate prices.

The service is already processed in over 40 countries and supports exchange-traded funds. Several major on-chain trading platforms like Lighter, Bitmex Apex, and multiple decentralized derivative exchanges started using data to support the synthetic stocks, prediction markets, and Equity perpetual futures.

U.S. stocks are worth around $80 trillion, but right now, most of the stocks don’t exist on blockchain. Chainlink is helping to bring the stock market data into the blockchain, and even big traditional players like the New York Stock Exchange agrees and are exploring blockchain trading. U.S. regulators are also thinking about 24/7 markets.

Highlighted Crypto News:

Messari: Only KYC Can Curb Insider Trading on Prediction Markets

TagsChainlinkCryptocurrencyLINK

Perguntas relacionadas

QWhat is the name of the new service launched by Chainlink to provide U.S. stock and ETF prices?

AThe service is named 24/5 U.S. Equities Data Streams.

QOn what date did the 24/5 U.S. Equities Data Streams service go live?

AThe service went live on January 20, 2026.

QWhat specific problem does Chainlink's new service aim to solve for on-chain DeFi products?

AIt solves the after-hours pricing gap by providing accurate, updated stock prices even when the traditional U.S. markets are closed, reducing risk for derivatives, lending, and synthetic stocks.

QName two types of on-chain trading platforms mentioned that have started using Chainlink's new data service.

ALighter and Bitmex Apex, along with multiple decentralized derivative exchanges, have started using the data.

QAccording to the article, what is the approximate total value of U.S. stocks that Chainlink is helping to bring on-chain?

AU.S. stocks are worth approximately $80 trillion.

Leituras Relacionadas

Has the 'Digital Gold' Narrative for BTC Failed?

**Title: Has the "Digital Gold" Narrative for Bitcoin Failed?** The article argues that Bitcoin's "digital gold" narrative remains valid despite a recent sharp price decline (from a peak near $126k in Oct 2025 to briefly under $61k in Feb 2026). It presents a long-term investment framework based on three core points: **1. Viewing Bitcoin as an Asset:** Bitcoin is presented as a superior potential store of value compared to gold. Key arguments are its absolute scarcity (21 million cap), superior portability, and transparent auditability via its public ledger. While acknowledging its current use in early, volatile stages (~3-4% global adoption), the author draws parallels to the early, disruptive phases of the internet and e-commerce. **2. Understanding the Recent Downturn:** The current ~50% correction is framed as a predictable, consensus-driven cycle following its post-halving peak (the 2024 halving preceded the Oct 2025 high). A crucial factor is a historic "changing of hands": the influx of new institutional buyers via ETFs allowed early, low-cost holders (miners, OG believers) to take profits. The author notes that while severe, Bitcoin's historical drawdowns (e.g., 93% in 2011, 77% in 2021-22) have been progressively smaller, suggesting maturing holder structure and decreasing volatility over time. **3. The Long-Term Perspective:** The long-term thesis hinges on Bitcoin capturing a portion of gold's market value. With Bitcoin's market cap at ~$1.4 trillion (at $70k) versus gold's ~$20 trillion, significant upside potential exists if the "digital gold" narrative is partially realized. However, the author strongly cautions that short-term risks remain, the bottom is unpredictable, and high volatility is inherent. The real risk is not Bitcoin failing but poor personal position management (over-leverage, wrong capital) and a lack of deep understanding, which can force investors out during severe downturns. The conclusion uses Amazon's 95% crash post-2000 dot-com bubble and subsequent 42x recovery as an analogy. The ultimate question is not if Bitcoin's price will rise, but if an investor's strategy and conviction can withstand the volatility to see the long-term play out. The recent divergence (gold up, Bitcoin down) is posed not as a narrative failure, but as potential evidence of this ongoing, painful transition from a speculative asset to a mainstream allocation.

marsbitHá 6h

Has the 'Digital Gold' Narrative for BTC Failed?

marsbitHá 6h

Has BTC's 'Digital Gold' Narrative Failed?

The article discusses Bitcoin's "digital gold" narrative, its recent price drop, and long-term outlook through the perspective of "Jason". It argues the narrative is not a failure but that Bitcoin represents a superior, new asset class due to its fixed supply (21 million), portability, and auditability. The piece compares its current ~3-4% global adoption rate to early internet/e-commerce, suggesting significant growth potential. Regarding the 2025-2026 price decline (from ~$126k to briefly under $61k), the author views it as a predictable, consensus-driven sell-off within Bitcoin's ~4-year cycle post-halving, exacerbated by a major "handover" from early, low-cost holders to new institutional buyers via ETFs. A key observation is that historical peak-to-trough drawdowns have lessened over time (e.g., 93% in 2011 to ~50% in 2026), indicating maturing volatility as holder structure changes. For the long term, the author uses a simple framework: Bitcoin's total market cap (~$1.4T at $70k) is only about 7% of gold's (~$20T). Even capturing 30-50% of gold's value would imply substantial upside. However, the article strongly cautions against viewing this as investment advice, emphasizing extreme volatility and the critical importance of risk management, position sizing, and deep fundamental understanding to survive severe drawdowns. It concludes by drawing a parallel to Amazon's 95% crash in 2000 and subsequent 42x recovery, stressing that the key is surviving market cycles to realize long-term potential.

链捕手Há 6h

Has BTC's 'Digital Gold' Narrative Failed?

链捕手Há 6h

From Code to Cognition: A Ten-Thousand-Word Guide to the Evolution of the Robot Brain

"From Code to Cognition: The Evolution of Robot Brains" The journey of robotic intelligence has shifted dramatically from manually coded systems to AI-driven brains. For decades, robots relied on layered software stacks—perception, state estimation, planning, control—each handcrafted. While predictable, they lacked adaptability. The 2010s saw deep learning revolutionize perception (e.g., object detection) and control (via reinforcement learning), but learned skills remained narrow. The arrival of Large Language Models (LLMs) marked a turning point. LLMs acted as high-level planners, interpreting natural language instructions and generating sequences of actions for traditional robotic systems to execute. However, true integration came with Visual-Language-Action (VLA) models, which fused vision, language, and motion prediction into a single network. Pioneered by models like RT-2 and open-source projects like OpenVLA, VLAs enable robots to reason and act directly from visual input and commands. The most advanced humanoid robots now employ a "dual-brain" architecture: a slow-thinking, large VLA (System 2) for reasoning and planning, and a fast-reacting, small network (System 1) for high-frequency motion control, sometimes with an even lower-level System 0 for balance. This split balances cognition with the physics of real-time movement. Computation is split between onboard hardware (e.g., NVIDIA Jetson) for safety-critical control loops and cloud/edge servers for non-critical tasks like learning and interfaces. A crucial driver is the open-source ecosystem—models like GR00T and OpenVLA allow startups to build upon pre-trained brains and fine-tune them with their own data, accelerating development. Despite progress, current systems struggle with recovery from errors, sample inefficiency, and long-horizon tasks. This has spurred the rise of **World Models**—neural networks that predict the consequences of actions. By simulating possible futures before acting (like NVIDIA Cosmos or Meta V-JEPA), robots can plan, recover, and generalize better. This represents the next frontier: shifting intelligence from learned reactions to an internal model of physics and cause-and-effect. The field is rapidly evolving. While not yet at its "ChatGPT moment," the convergence of cheaper hardware, scalable simulation, and world models points toward robots that are increasingly capable, adaptive, and useful. The question is shifting from "what can robots do?" to "what *should* they do?"

marsbitHá 6h

From Code to Cognition: A Ten-Thousand-Word Guide to the Evolution of the Robot Brain

marsbitHá 6h

Trading

Spot
Futuros

Artigos em Destaque

Como comprar LINK

Bem-vindo à HTX.com!Tornámos a compra de ChainLink (LINK) simples e conveniente.Segue o nosso guia passo a passo para iniciar a tua jornada no mundo das criptos.Passo 1: cria a tua conta HTXUtiliza o teu e-mail ou número de telefone para te inscreveres numa conta gratuita na HTX.Desfruta de um processo de inscrição sem complicações e desbloqueia todas as funcionalidades.Obter a minha contaPasso 2: vai para Comprar Cripto e escolhe o teu método de pagamentoCartão de crédito/débito: usa o teu visa ou mastercard para comprar ChainLink (LINK) instantaneamente.Saldo: usa os fundos da tua conta HTX para transacionar sem problemas.Terceiros: adicionamos métodos de pagamento populares, como Google Pay e Apple Pay, para aumentar a conveniência.P2P: transaciona diretamente com outros utilizadores na HTX.Mercado de balcão (OTC): oferecemos serviços personalizados e taxas de câmbio competitivas para os traders.Passo 3: armazena teu ChainLink (LINK)Depois de comprar o teu ChainLink (LINK), armazena-o na tua conta HTX.Alternativamente, podes enviá-lo para outro lugar através de transferência blockchain ou usá-lo para transacionar outras criptomoedas.Passo 4: transaciona ChainLink (LINK)Transaciona facilmente ChainLink (LINK) no mercado à vista da HTX.Acede simplesmente à tua conta, seleciona o teu par de trading, executa as tuas transações e monitoriza em tempo real.Oferecemos uma experiência de fácil utilização tanto para principiantes como para traders experientes.

894 Visualizações TotaisPublicado em {updateTime}Atualizado em 2026.06.02

Como comprar LINK

Discussões

Bem-vindo à Comunidade HTX. Aqui, pode manter-se informado sobre os mais recentes desenvolvimentos da plataforma e obter acesso a análises profissionais de mercado. As opiniões dos utilizadores sobre o preço de LINK (LINK) são apresentadas abaixo.

活动图片