Ondo Finance Expands Tokenized Securities Offering With BlackRock IBIT and Galaxy Digital

TheNewsCryptoPublicado a 2026-03-20Actualizado a 2026-03-20

Resumen

Ondo Finance has expanded its tokenized securities platform by adding over 60 new stocks and ETFs, including BlackRock’s iShares Bitcoin Trust (IBIT) and Galaxy Digital’s stock. The platform now supports more than 250 tokenized assets on blockchains like Ethereum and Solana. This expansion reflects growing institutional demand for tokenized real-world assets, with Ondo currently managing $2.6 billion in tokenized treasuries and equities. The move aims to bridge traditional and decentralized finance by improving accessibility, efficiency, and regulatory compliance. Tokenization enables near-instant, 24/7 trading, highlighting the increasing convergence of traditional finance and blockchain technology.

Ondo Finance has added over sixty new stocks and exchange-traded funds to its tokenized securities platform. New listings include BlackRock’s iShares Bitcoin Trust and Galaxy Digital’s stock. These are among the prominent financial assets. The company now supports over 250 tokenized assets across various blockchains, including Ethereum and Solana.

The company added additional equities like IonQ, Eaton, and Rocket Lab to increase exposure across various sectors. It has also added exchange-traded funds like the iShares MSCI India ETF and the Vanguard Real Estate ETF. Users are now able to trade these assets instantly using the Ondo Global Markets system.

Growing Demand for Tokenized Real-World Assets

This growth is attributed to the increased demand for real-world assets in tokenized form by institutional investors in various digital asset markets within global financial systems. Statistics show that Ondo Finance handles 2.6 billion dollars in tokenized assets such as treasuries and equities. These figures demonstrate the growth in bridging traditional financial systems and blockchain-based investment systems globally.

Such clarity has encouraged platforms to extend their tokenized securities offerings globally. This has been made possible by providing confidence to institutions looking for compliant ways of accessing blockchain-based financial products and services efficiently. Tokenization has made it possible for transactions to take place almost instantaneously, and trading may also take place around the clock.

Ondo Finance is continuing to extend traditional financial instruments onto blockchain systems, effectively bridging the gap between traditional finance systems and decentralized finance infrastructure layers. It has been doing so by improving accessibility and efficiency while ensuring regulatory compliance globally. Industry trends indicate that tokenized securities are a rapidly expanding segment of the overall real-world asset class globally.

The development indicates a rising level of convergence between conventional finance and blockchain technology, as institutions accept tokenized investment solutions worldwide. Market players are exploring the concept of tokenization as a means of modernizing asset distribution and improving investment accessibility.

Highlighted Crypto News:

Coinbase and Apex Introduce Tokenized Bitcoin Yield Fund

TagsBitcoinBitcoin (BTC)blackRockBlockchainGalaxy DigitalIBITONDOOndo Finance (ONDO)

Criptos en tendencia

Preguntas relacionadas

QWhat are some of the prominent new assets that Ondo Finance has added to its tokenized securities platform?

AOndo Finance has added prominent assets including BlackRock's iShares Bitcoin Trust (IBIT) and Galaxy Digital's stock, along with over sixty other new stocks and ETFs.

QHow many tokenized assets does Ondo Finance now support and on which blockchains?

AOndo Finance now supports over 250 tokenized assets across various blockchains, including Ethereum and Solana.

QWhat is the total value of tokenized assets that Ondo Finance currently handles, and what types of assets are included?

AOndo Finance handles $2.6 billion in tokenized assets, which include treasuries and equities.

QWhat are two key benefits of tokenization mentioned in the article for institutional investors?

AThe key benefits mentioned are the ability for transactions to take place almost instantaneously and for trading to occur around the clock.

QAccording to the article, what is the broader industry trend regarding tokenized securities?

AThe industry trend indicates that tokenized securities are a rapidly expanding segment of the overall real-world asset class globally, showing a convergence between conventional finance and blockchain technology.

Lecturas Relacionadas

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

AI is reshaping the labor market's value proposition. The traditional four-year college degree is losing its appeal as a guaranteed career path, while skilled blue-collar trades like electricians, welders, and plumbers are experiencing historic demand and wage premiums. This shift is driven by dual pressures: AI's displacement of certain white-collar roles and a booming need for physical infrastructure and data center construction. Data confirms the trend. In the U.S., vocational school revenue surged, and a significant portion of recent layoffs are AI-related. Surveys show a majority of Gen Z adults plan to pursue blue-collar work, citing better job security against AI automation. Vocational education interest has exploded recently. Experts cite a psychological shift as younger generations seek tangible, AI-resistant careers and avoid high student debt. In many cases, salaries for skilled trades now match or exceed those requiring a bachelor's degree. In South Korea, semiconductor vocational high schools boast near-total employment, with graduates securing high-paying roles at companies like Samsung. The shortage is structural, exacerbated by a retiring baby boomer workforce and massive infrastructure projects. Companies like JPMorgan Chase, Meta, and Lowe's are investing heavily in training programs. However, overcoming historical stigma and a "perception gap" around trade careers remains a key challenge to closing the talent gap.

marsbitHace 36 min(s)

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

marsbitHace 36 min(s)

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

Qualcomm reported its Q3 FY2026 results (ending June 2026), with revenue of $9.95B, down 4% YoY but above expectations. Gross margin declined to 53.1%, pressured by rising costs across manufacturing and memory. Key business segments showed mixed performance: Handset revenue fell 19.6% YoY to $5.09B, dragged by an 11% decline in non-Apple Android shipments and weaker high-end mix. Conversely, Automotive revenue surged 61% to $1.59B, and IoT grew 9% to $1.83B. Core operating profit dropped 41% YoY due to margin compression and higher expenses. Management's Q4 FY2026 guidance projects revenue of $9.7B-$10.5B, in line with consensus, but Non-GAAP EPS guidance of $2.05-$2.25 fell short of expectations. Amidst persistent weakness in its core handset market, Qualcomm is pursuing growth in AI, focusing on Edge AI (smartphones, PCs, automotive) and Data Center AI. Its data center strategy includes four pillars: AI accelerators (e.g., AI200), commercial CPUs (Dragonfly C1000), custom silicon, and connectivity solutions. While these initiatives initially boosted its stock, concerns over AI capital expenditure sustainability have since erased those gains. The company targets $5B in data center revenue for FY2027 and $15B for FY2029. The report concludes that with the traditional handset business still under pressure, the data center opportunity is currently viewed as a longer-term option, and a more conservative valuation based on core operations may be warranted until AI contributions materialize.

marsbitHace 41 min(s)

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

marsbitHace 41 min(s)

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

At the 2026 YC Startup School, Jeff Dean outlined his vision for AI's next phase, shifting focus from simply scaling models to building intelligent, autonomous systems. He believes AI's progress is no longer just about creating smarter models, but about integrating them into systems capable of long-term, iterative work, automated experimentation, and continuous learning. This evolution moves the competition from "who has the bigger model" to "who can best organize intelligence." Dean suggests AI capabilities are now comparable to a junior engineer, enabling the automation of complex workflows. However, the true challenge and opportunity lie in managing these AI "workers" at scale. He emphasizes the importance of **context engineering**—structuring tools, memory, and feedback loops—over raw model power. For startups, this means building deep expertise in niche domains where general models currently fail (near 0-1% success rates), leveraging proprietary data, specialized tools, and domain-specific evaluators. A recurring theme is re-examining fundamental constraints. Dean's past work, like moving Google's search index to memory or creating the TPU, stemmed from questioning outdated assumptions about hardware and cost. He sees similar inflection points today, particularly in **specialized inference hardware** to drastically reduce latency and energy consumption for real-time Agent operation. Notably, he points out that in modern AI systems, the dominant cost is often not computation but **data movement**. Reliable, long-running Agents require robust system design, borrowing concepts from distributed computing like checkpointing, state management, and parallel exploration to handle failures and maintain progress over days or weeks. As AI automates execution, the scarcest human skills will shift to **defining clear specifications**, **judging what problems are worth solving** (taste), and designing effective feedback loops. Ultimately, Dean's framework prioritizes understanding the problem deeply, identifying the true bottlenecks, and systematically building closed-loop systems where AI can not only perform tasks but also improve AI itself.

marsbitHace 41 min(s)

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

marsbitHace 41 min(s)

Trading

Spot

Artículos destacados

Cómo comprar ONDO

¡Bienvenido a HTX.com! Hemos hecho que comprar OndoFinance (ONDO) 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 OndoFinance (ONDO) 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 OndoFinance (ONDO)Después de comprar tu OndoFinance (ONDO), guárdalo en tu cuenta HTX. Alternativamente, puedes enviarlo a otro lugar mediante transferencia blockchain o utilizarlo para tradear otras criptomonedas.Paso 4: tradear OndoFinance (ONDO)Tradear fácilmente con OndoFinance (ONDO) 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.

323 Vistas totalesPublicado en 2024.12.12Actualizado en 2026.06.02

Cómo comprar ONDO

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 ONDO (ONDO).

活动图片