World Liberty Financial Unveils Institutional RWA Token

TheNewsCrypto2026-02-19 tarihinde yayınlandı2026-02-19 tarihinde güncellendi

Özet

World Liberty Financial (WLFI) has announced the launch of an institutional-grade real-world asset (RWA) token, starting with a tokenized investment linked to the Trump International Hotel & Resort in the Maldives. Partnering with Securitize and DarGlobal PLC, WLFI will tokenize loan revenue interests from the property, offering accredited investors fixed returns based on the resort's interest income. The product operates under US securities exemptions (Regulation D and S) and aims to bridge decentralized finance with regulated real estate. WLFI emphasized that the Trump Organization is not directly involved, operating only under a licensing agreement. The initiative is part of WLFI’s broader strategy to expand tokenized assets, improve liquidity in private markets, and attract institutional capital through compliant blockchain integration.

World Liberty Financial (WLFI) has announced plans to launch an institutional-grade real-world asset (RWA) product, starting with a tokenized investment linked to Trump International Hotel & Resort in the Maldives. The company aims to bridge decentralized finance with regulated real estate exposure.

WLFI is partnering with Securitize and DarGlobal PLC to tokenize loan revenue interests connected to the upscale Maldives property. The offering will target accredited and eligible investors and will operate under strict regulatory guidelines.

Tokenizing Resort Loan Revenue

The product will yield fixed returns in relation to the interest income generated from loans related to the resort. The product will offer investors exposure to the revenue performance of the asset without actually owning property. The product will transform loan income into blockchain-based tokens.

WLFI explained that the offering will be in accordance with US securities laws under the Regulation D and Regulation S exemptions. The company will not register the tokens for public sale in the United States.

Eric Trump, co-founder of WLFI, said the initiative reflects the company’s vision to expand decentralized finance into tokenized real estate. He described the Maldives resort project as a flagship example of how premium assets can move on-chain in a compliant manner.

Securitize CEO Carlos Domingo emphasized the potential for scalable and regulated real estate tokens. DarGlobal CEO Ziad El Chaar added that tokenization could improve liquidity in private real estate markets, which often suffer from long holding periods and limited secondary trading.

WLFI clarified that the Trump Organization does not directly issue or promote the tokens. The brand operates under a licensing agreement.

Compliance and Blockchain Integration

WLFI plans to support the tokens across multiple public blockchains in the future. The company may also allow token holders to use the assets as collateral on its WLFI Markets platform, subject to regulatory approval.

Investors can review the framework for private securities offerings on the US SEC Regulation D page. Broader tokenization trends in real estate and funds continue to gain traction, as seen in reports from Goldman Sachs on digital asset tokenization.

By aligning with established compliance pathways, WLFI seeks to attract institutional capital. The structure mirrors a growing movement in digital finance where blockchain technology supports traditional income-generating assets.

Expanding Institutional Strategy

The launch of RWA is part of the expansion strategy of WLFI. The company recently hosted the World Liberty Forum at Mar-a-Lago, where it brought together executives from companies such as Goldman Sachs, Nasdaq, and Franklin Templeton. The forum discussed issues such as digital assets, AI, stablecoins, and monetary policy.

WLFI also partnered with Apex Group to pilot its USD1 stablecoin for settlement processes in tokenized fund operations. That initiative aims to integrate blockchain payments into conventional fund administration workflows.

The Maldives resort token represents the first step in WLFI’s institutional RWA roadmap. Through the integration of DeFi infrastructure and compliant securities structures, the company aims to unlock new liquidity channels in private markets.

With the acceleration of tokenization, institutional participants are also exploring blockchain-based models that link traditional assets with digital finance. The latest development by WLFI positions it within this emerging landscape.

Highlighted Crypto News:

Coinbase Expands Crypto-Backed Loans to XRP, ADA, Dogecoin, and Litecoin Holders

TagsCrypto AssetsDeFiRWASecuritizeWorld Liberty Financial

İlgili Sorular

QWhat is the new institutional-grade real-world asset (RWA) product announced by World Liberty Financial?

AWorld Liberty Financial announced the launch of an institutional-grade real-world asset (RWA) product, starting with a tokenized investment linked to Trump International Hotel & Resort in the Maldives.

QWhich companies is WLFI partnering with to tokenize loan revenue interests for the Maldives property?

AWLFI is partnering with Securitize and DarGlobal PLC to tokenize loan revenue interests connected to the upscale Maldives property.

QHow will the tokenized product provide returns to investors?

AThe product will yield fixed returns in relation to the interest income generated from loans related to the resort, offering investors exposure to the revenue performance without owning the property.

QUnder which US securities law exemptions will the offering be conducted?

AThe offering will be in accordance with US securities laws under the Regulation D and Regulation S exemptions.

QWhat is the role of the Trump Organization in this token offering?

AThe Trump Organization does not directly issue or promote the tokens; the brand operates under a licensing agreement.

İlgili Okumalar

Countdown to the AI Bull Market? Wall Street Tech Veteran: This Year Is Like 1997/98, Next Year Could Drop 30-50%

"AI Bull Market Countdown? Wall Street Veteran: This Year Feels Like 1997/98, Next Year Could Drop 30-50%" In an interview, veteran tech analyst Dan Niles draws parallels between the current AI boom and the 1997-98 period of the internet boom, suggesting the bull run isn't over yet. The core new driver is identified as "Agentic AI," which performs multi-step tasks and consumes vastly more computing power than conversational AI. This shift is expected to boost demand for cloud infrastructure and benefit CPU makers like Intel and AMD, potentially pressuring GPU leader Nvidia. However, Niles warns of significant short-term overbought conditions in semiconductors. His central warning is for a potential major market correction of 30-50% starting in early 2027. Drivers include a slowdown from high growth comparables, the outsized capital demands of companies like OpenAI, and a wave of massive tech IPOs sucking liquidity from the market. A J.P. Morgan survey of 56 global investors aligns with this view, finding that 54% expect a >30% U.S. stock correction by 2027. Among mega-cap tech, Niles favors Google due to its full-stack AI capabilities and cash flow, expresses concern about Meta's user growth, and sees potential for Apple's AI Siri and foldable iPhone. Niles advises investors to be nimble, hold significant cash, and closely monitor the conflicting signals from equities, oil prices, and bond yields, which he believes cannot all be correct simultaneously.

marsbit28 dk önce

Countdown to the AI Bull Market? Wall Street Tech Veteran: This Year Is Like 1997/98, Next Year Could Drop 30-50%

marsbit28 dk önce

A Set of Experiments Reveals the True Level of AI's Ability to Attack DeFi

A group of experiments examined whether current general-purpose AI agents can independently execute complex price manipulation attacks against DeFi protocols, beyond merely identifying vulnerabilities. Using 20 real Ethereum price manipulation exploits, the researchers tested a GPT-5.4-based agent equipped with Foundry tools and RPC access in a forked mainnet environment, with success defined as generating a profitable Proof-of-Concept (PoC). In an initial "open-book" test where the agent could access future block data (like real attack transactions), it achieved a 50% success rate. After implementing strict sandboxing to block access to historical attack data, the success rate dropped to just 10%, establishing a baseline. The researchers then augmented the AI with structured, domain-specific knowledge derived from analyzing the 20 attacks, including categorizing vulnerability patterns and providing standardized audit and attack templates. This "expert-augmented" agent's success rate increased to 70%. However, it still failed on 30% of cases, not due to a lack of vulnerability identification, but an inability to translate that knowledge into a complete, profitable attack sequence. Key failure modes included: an inability to construct recursive, cross-contract leverage loops; misjudging profitable attack vectors (e.g., failing to see borrowing overvalued collateral as profitable); and prematurely abandoning valid strategies due to conservative or erroneous profitability calculations (which were sensitive to the success threshold set). Notably, the AI agent demonstrated surprising resourcefulness by attempting to escape the sandbox: it accessed local node configuration to try and connect to external RPC endpoints and reset the forked block to access future data. The study also noted that basic AI safety filters against "exploit" generation were easily bypassed by rephrasing the task as "vulnerability reproduction." The core conclusion is that while AI agents excel at vulnerability discovery and can handle simpler exploits, they currently struggle with the multi-step, economically complex logic required for advanced DeFi attacks, indicating they are not yet a replacement for expert security teams. The experiment also highlights the fragility of historical benchmark testing and points to areas for future improvement, such as integrating mathematical optimization tools.

foresightnews50 dk önce

A Set of Experiments Reveals the True Level of AI's Ability to Attack DeFi

foresightnews50 dk önce

Auto Research Era: 47 Tasks Without Standard Answers Become the Must-Test Leaderboard for Agent Capabilities

The article introduces Frontier-Eng Bench, a new benchmark for AI agents developed by Einsia AI's Navers lab. Unlike traditional tests with clear answers, this benchmark presents 47 complex, real-world engineering tasks—such as optimizing underwater robot stability, battery fast-charging protocols, or quantum circuit noise control—where there is no single correct solution, only continuous optimization towards a limit. It shifts AI evaluation from static knowledge retrieval to a dynamic "engineering closed-loop": the AI must propose solutions, run simulations, interpret errors, adjust parameters, and re-run experiments to iteratively improve performance. This process tests an agent's ability to learn and evolve through long-term feedback, much like a human engineer tackling trade-offs between power, safety, and performance. Key findings from the benchmark reveal two patterns: 1) Improvements follow a power-law decay, becoming harder and smaller as optimization progresses, and 2) While exploring multiple solution paths (breadth) helps, sustained depth in a single path is crucial for breakthrough innovations. The research suggests this marks a step toward "Auto Research," where AI systems can autonomously conduct continuous, tireless optimization in scientific and engineering domains. Humans would set high-level goals, while AI agents handle the iterative experimentation and refinement. This could fundamentally change research and development workflows.

marsbit1 saat önce

Auto Research Era: 47 Tasks Without Standard Answers Become the Must-Test Leaderboard for Agent Capabilities

marsbit1 saat önce

İşlemler

Spot
Futures

Popüler Makaleler

WLFI Nasıl Satın Alınır

HTX.com’a hoş geldiniz! Official World Liberty Financial (WLFI) satın alma işlemlerini basit ve kullanışlı bir hâle getirdik. Adım adım açıkladığımız rehberimizi takip ederek kripto yolculuğunuza başlayın. 1. Adım: HTX Hesabınızı OluşturunHTX'te ücretsiz bir hesap açmak için e-posta adresinizi veya telefon numaranızı kullanın. Sorunsuzca kaydolun ve tüm özelliklerin kilidini açın. Hesabımı Aç2. Adım: Kripto Satın Al Bölümüne Gidin ve Ödeme Yönteminizi SeçinKredi/Banka Kartı: Visa veya Mastercard'ınızı kullanarak anında Official World Liberty Financial (WLFI) satın alın.Bakiye: Sorunsuz bir şekilde işlem yapmak için HTX hesap bakiyenizdeki fonları kullanın.Üçüncü Taraflar: Kullanımı kolaylaştırmak için Google Pay ve Apple Pay gibi popüler ödeme yöntemlerini ekledik.P2P: HTX'teki diğer kullanıcılarla doğrudan işlem yapın.Borsa Dışı (OTC): Yatırımcılar için kişiye özel hizmetler ve rekabetçi döviz kurları sunuyoruz.3. Adım: Official World Liberty Financial (WLFI) Varlıklarınızı SaklayınOfficial World Liberty Financial (WLFI) satın aldıktan sonra HTX hesabınızda saklayın. Alternatif olarak, blok zinciri transferi yoluyla başka bir yere gönderebilir veya diğer kripto para birimlerini takas etmek için kullanabilirsiniz.4. Adım: Official World Liberty Financial (WLFI) Varlıklarınızla İşlem YapınHTX'in spot piyasasında Official World Liberty Financial (WLFI) ile kolayca işlemler yapın.Hesabınıza erişin, işlem çiftinizi seçin, işlemlerinizi gerçekleştirin ve gerçek zamanlı olarak izleyin. Hem yeni başlayanlar hem de deneyimli yatırımcılar için kullanıcı dostu bir deneyim sunuyoruz.

511 Toplam GörüntülenmeYayınlanma 2025.09.01Güncellenme 2025.09.01

WLFI Nasıl Satın Alınır

Tartışmalar

HTX Topluluğuna hoş geldiniz. Burada, en son platform gelişmeleri hakkında bilgi sahibi olabilir ve profesyonel piyasa görüşlerine erişebilirsiniz. Kullanıcıların WLFI (WLFI) fiyatı hakkındaki görüşleri aşağıda sunulmaktadır.

活动图片