LINK sees 5% hike after Bitwise bets big on Chainlink with new ETF filing

ambcryptoPublicado a 2025-08-27Actualizado a 2025-08-28

Key Takeaways

Bitwise has filed for the first U.S Chainlink ETF, with the same intended to bring institutional exposure to LINK amid rising demand and regulatory scrutiny.


Bitwise Asset Management is in the news today after bringing Chainlink [LINK] to traditional investors. It has done so by filing to launch a new exchange-traded fund (ETF) focused solely on the cryptocurrency oracle platform’s native token.

According to the filing with the U.S Securities and Exchange Commission (SEC), the proposed Bitwise Chainlink ETF would use Coinbase Custody as its designated custodian and facilitate in-kind creation and redemption of LINK. This would also enable investors to buy and sell shares directly with the token.

However, details such as the fund’s ticker, listing exchange, and management fees have not yet been disclosed.

The filing marks a historic first for U.S ETFs. Especially since no ETF has previously been proposed that tracks Chainlink’s native token – LINK.

As it stands, Bitwise Asset Management has submitted a Form S-1 with the U.S Securities and Exchange Commission, outlining the structure and purpose of the fund.

However, the process is far from complete.

This is because the firm must submit additional documentation, known as Form 19b-4, to formally initiate the SEC’s approval process. This could take several months depending on regulatory review and market conditions.

How will it affect LINK?

Needless to say, the Bitwise Chainlink ETF holds considerable significance for the crypto industry. The ETF could legitimize institutional demand for LINK, a token largely driven until now by retail and DeFi markets.

Should the SEC grant approval, the ETF would open the door for pension funds, hedge funds, and other large-scale investors to gain exposure to Chainlink in a compliant, mainstream investment format.

In fact, analysts believe that this could increase the token’s liquidity and potentially contribute to upward price pressure as institutional demand grows.

As expected, the market has already responded positively to the announcement. On the day of filling, for instance, Chainlink’s price climbed by 5% from an intraday low of $22.94 – Reflecting early investor optimism about the ETF’s potential impact.

At the time of writing, LINK was trading at $24.29, following gains of 3.68% in just 24 hours.

The altcoin’s short-term price action underlines how regulatory developments and institutional adoption can influence altcoin valuations in real time.

What about other altcoin ETFs?

Several altcoin-focused ETFs remain in limbo at the SEC. Some have even been postponed until as late as October 2025 for approval or rejection. Hence, the Bitwise Chainlink ETF comes at a pivotal moment for LINK.

The project recently secured a high-profile partnership with Japan’s SBI Holdings. The partnership is expected to unlock innovative use cases such as tokenizing real-world assets and leveraging Chainlink’s oracle technology to verify stablecoin reserves on-chain.

Together, these developments will position LINK for greater institutional relevance and could influence its market trajectory as regulatory clarity and adoption grow hand in hand.

Share

Criptos en tendencia

Lecturas Relacionadas

AI is Sweeping the Globe, So Why is Crypto + AI in a Slump?

AI Booms, But Crypto + AI Remains Sluggish: A Demand-Side Analysis Despite the AI industry's explosive growth and massive investment, the convergence of blockchain and AI (Crypto + AI) has seen limited traction. The core issue is a severe supply-demand mismatch, not a flawed premise. Analyzing four key sub-sectors reveals specific gaps: 1. **Decentralized Compute/Storage:** Offer logical benefits like data sovereignty and cost savings but lack a decisive technical advantage over entrenched cloud giants (AWS, GCP). Enterprises prioritize performance and stability and are unwilling to bear the switching risk and uncertainty of decentralized networks. 2. **Model Verification/Privacy (e.g., ZKML):** Address important long-term issues like auditability and data privacy, but these are not urgent operational pain points for most businesses today. Widespread demand will likely follow regulatory mandates (like the EU AI Act), not precede them. 3. **AI Agent Infrastructure:** Projects are building infrastructure for a future of autonomous, interacting agents. However, the current market focus is on internal process automation within corporate firewalls. The technology is ahead of market readiness. 4. **AI Agent Payments:** This is the only sub-sector where blockchain is on a level playing field with traditional finance. Both are trying to solve the unsolved problem of real-time, micro-transactions for machines, making it the most immediately competitive area. The overarching problem is that the AI industry invests heavily in solutions that solve immediate bottlenecks (e.g., faster memory, more power). Most Crypto + AI solutions target secondary, longer-term concerns (decentralization, transparency) and often come with performance trade-offs. The lack of a flagship, large-scale commercial success case further hinders mainstream capital inflow. The path forward requires either aligning more closely with the current industry's performance demands or patiently building the foundational infrastructure for the next phase of AI.

Foresight NewsHace 3 min(s)

AI is Sweeping the Globe, So Why is Crypto + AI in a Slump?

Foresight NewsHace 3 min(s)

Continuous Net Outflows from ETFs, Are Institutions Exiting?

US spot Bitcoin ETFs have experienced approximately $6 billion in net outflows over the past six weeks, marking the longest consecutive weekly withdrawal streak since their launch in 2024. The iShares Bitcoin Trust (IBIT) from BlackRock has been particularly affected, accounting for over 70% of recent outflows. On-chain analysis indicates that long-term Bitcoin holders (holding for over 155 days), who control about 83% of the circulating supply, remain steadfast. The selling pressure is primarily coming from allocators who entered through ETF brokerage accounts. This represents the first major collective capitulation since Bitcoin gained mainstream Wall Street recognition, driven more by risk-off portfolio adjustments than a fundamental rejection of the asset. Factors such as rising inflation, a hawkish shift in Federal Reserve policy, massive capital inflows into AI infrastructure, and attractive IPO opportunities have redirected speculative funds. Bitcoin, treated as a high-beta risk asset, was among the first to be sold. While the pace of outflows has slowed significantly—from $1.72 billion in early June to $226.8 million mid-month—the structural issue remains. IBIT's large size means its outflows alone exert substantial market pressure. With spot market volume thin, new capital inflows absent, and ETF buying muted, the market lacks sufficient buying support to absorb this selling. The coming sessions are critical. If IBIT outflows decelerate and Bitcoin reclaims $60,000, this phase could be seen as a healthy reset. However, if heavy IBIT redemptions resume and the price falls below $58,000, it would signal a more sustained institutional exit, requiring non-ETF buyers to shoulder the entire selling pressure alone. The ETF, while lowering entry barriers, has not removed Bitcoin's inherent volatility.

marsbitHace 44 min(s)

Continuous Net Outflows from ETFs, Are Institutions Exiting?

marsbitHace 44 min(s)

Introduction to the Concept of World Models: A Story from Psychology to the Main Battlefield of AI

**World Models: From Psychology to AI's Core Concept** "World model" is a trending but often confusing term in AI, describing a system that allows machines to internally simulate, predict, and rehearse potential outcomes before taking real-world action—like a mental "sandbox." While definitions vary—Yann LeCun emphasizes physical understanding, OpenAI's Sora is a video-based "world simulator," Google DeepMind's Genie 3 creates interactive 3D environments, and companies like Alibaba and Tesla focus on practical applications—the core goal is consistent: reduce reliance on vast real-world data by creating an internal, predictive model for safer and more efficient AI. The concept has deep roots, tracing back to psychologist Kenneth Craik (1943). In AI, it was revitalized by researchers like David Ha and Jürgen Schmidhuber (2018). Major technical approaches include: 1) generative video models (e.g., Sora) for visual realism; 2) abstract predictive models (e.g., LeCun's JEPA) for efficiency and physical reasoning; and 3) explicit 3D simulators (e.g., NVIDIA Omniverse) for precision. Fei-Fei Li proposes a classification based on the AI action loop: renderers (output observations), simulators (output world states), and planners (output actions). The emerging "World Action Model" (WAM) paradigm aims to unify future prediction and action generation. An industry framework is forming: upstream (data, compute, sensors), midstream (general and vertical platforms), and downstream applications (autonomous driving, robotics, gaming, etc.). Autonomous driving is currently the most mature use case. The current lack of a unified definition reflects the field's early, dynamic stage, similar to past tech revolutions. Different approaches—focusing on pixels, physics, or behavior—represent parallel explorations of how best to compress and understand the world. This diversity, while seemingly chaotic, signals that world models have moved from an academic idea to a critical industrial battleground, ultimately aiming to give machines the ability to understand, imagine, and reason about the world.

marsbitHace 1 hora(s)

Introduction to the Concept of World Models: A Story from Psychology to the Main Battlefield of AI

marsbitHace 1 hora(s)

Building the Bright Path While Secretly Crossing Chencang: Is Walsh Paving the Way for a September "Rate Cut"?

The title "Building the Plank Road Openly While Secretly Crossing at Chencang: Is Walsh Paving the Way for a September 'Rate Cut'?" suggests Federal Reserve Chair Kevin Walsh's hawkish stance may be a deliberate smokescreen. Academy Securities analyst Peter Tchir argues in a report that markets, currently pricing a 75% chance of a September hike, are missing a potential path to a September rate cut that Walsh himself might be quietly preparing. Tchir posits that Walsh's hawkish rhetoric aims to suppress long-term yield risks (with the 10-year Treasury yield falling recently) while creating room for a narrative shift based on upcoming data. The potential political endgame, according to this view, could be rate cuts in September and October, ahead of the midterm elections. This hinges on a political logic where the Trump administration's preference for lower rates remains unchanged. A core part of Tchir's argument involves redefining inflation metrics. He contends the Fed under Walsh may deprioritize the PCE index, criticizing its lagging components like Owners' Equivalent Rent (OER). Instead, he points to alternative, more real-time indicators like the New Tenant Repeat Rent Index (NTRR) and the Truflation daily index, which shows core inflation around 1.45%. He suggests the Fed could shift its data narrative to justify policy easing. Furthermore, Tchir downplays AI-driven inflation fears. He argues that consumer price sensitivity, evidenced by negative market reactions to price hikes (e.g., Apple), contradicts persistent inflation narratives. He also separates AI/data center spending—which he sees as relatively rate-insensitive—from broader consumer affordability issues, implying rate hikes are misdirected. Based on this analysis, Tchir sees a re-pricing of rate cut expectations as likely, creating opportunities in short-duration Treasuries. He maintains a neutral-to-slightly-bullish view on the long end of the yield curve. For equities, he recommends a significant overweight in energy (especially global nuclear assets) and, within defense/security themes, an overweight in biotech/pharma versus an underweight in semiconductors, expressing caution on AI/data center valuations.

marsbitHace 1 hora(s)

Building the Bright Path While Secretly Crossing Chencang: Is Walsh Paving the Way for a September "Rate Cut"?

marsbitHace 1 hora(s)

Trading

Spot

Artículos destacados

Cómo comprar LINK

¡Bienvenido a HTX.com! Hemos hecho que comprar ChainLink (LINK) sea simple y conveniente. Sigue nuestra guía paso a paso para iniciar tu viaje de criptos.Paso 1: crea tu cuenta HTXUtiliza tu correo electrónico o número de teléfono para registrarte y obtener una cuenta gratuita en HTX. Experimenta un proceso de registro sin complicaciones y desbloquea todas las funciones.Obtener mi cuentaPaso 2: ve a Comprar cripto y elige tu método de pagoTarjeta de crédito/débito: usa tu Visa o Mastercard para comprar ChainLink (LINK) al instante.Saldo: utiliza fondos del saldo de tu cuenta HTX para tradear sin problemas.Terceros: hemos agregado métodos de pago populares como Google Pay y Apple Pay para mejorar la comodidad.P2P: tradear directamente con otros usuarios en HTX.Over-the-Counter (OTC): ofrecemos servicios personalizados y tipos de cambio competitivos para los traders.Paso 3: guarda tu ChainLink (LINK)Después de comprar tu ChainLink (LINK), guárdalo en tu cuenta HTX. Alternativamente, puedes enviarlo a otro lugar mediante transferencia blockchain o utilizarlo para tradear otras criptomonedas.Paso 4: tradear ChainLink (LINK)Tradear fácilmente con ChainLink (LINK) en HTX's mercado spot. Simplemente accede a tu cuenta, selecciona tu par de trading, ejecuta tus trades y monitorea en tiempo real. Ofrecemos una experiencia fácil de usar tanto para principiantes como para traders experimentados.

1.1k Vistas totalesPublicado en 2024.12.13Actualizado en 2026.06.02

Cómo comprar LINK

Discusiones

Bienvenido a la comunidad de HTX. Aquí puedes mantenerte informado sobre los últimos desarrollos de la plataforma y acceder a análisis profesionales del mercado. A continuación se presentan las opiniones de los usuarios sobre el precio de LINK (LINK).

活动图片