Morgan Stanley Files For Bank Charter To Offer Crypto Custody And Staking Services — Report

bitcoinistPublished on 2026-02-28Last updated on 2026-02-28

Abstract

Morgan Stanley has filed an application for a national bank charter to offer crypto custody, trading, and staking services through its subsidiary, Morgan Stanley Digital Trust. This move, reported on February 27th, follows the firm's recent strategic push into digital assets, including filing for Bitcoin, Ether, and Solana ETFs and appointing a head of digital asset strategy. The bank aims to provide these services across the U.S., with its main office in New York. This development reflects a broader trend of Wall Street firms expanding into crypto amid growing regulatory support. Meanwhile, the global crypto market cap has declined over 2% to $2.34 trillion.

In a significant move, Morgan Stanley has submitted an application for a new national bank charter that will enable it to offer crypto custody and staking services. This report comes days after the recently appointed head of digital asset strategy, Amy Oldenburg, confirmed the financial services giant’s digital asset push.

Morgan Stanley Continues To Bet On Digital Asset Industry With Fresh OCC Filing

According to a Bloomberg report on Friday, February 27th, Morgan Stanley filed for a de novo national trust bank charter to allow it custody digital assets. The Wall Street behemoth said in its application that the charter will also be used to conduct crypto trading and staking for its investment clients.

Bloomberg reported that the application, through Morgan Stanley Digital Trust, was filed on February 18th, according to the website of the Office of the Comptroller of the Currency. The firm will offer its digital asset management services throughout the United States, with its main office in Purchase, New York, the filing showed.

This move reinforces Morgan Stanley’s strategic push for crypto and the broader digital asset industry. Earlier in January, the financial services giant filed for Bitcoin, Ether, and Solana exchange-traded funds (ETFs) in the United States, while also forging a new head of digital-asset strategy role for Oldenburg.

As reported by Bitcoinist, Oldenburg revealed that Morgan Stanley’s near-term goal is to enable E*Trade clients to buy and sell spot crypto, initially via a partnership before possibly moving to a native custody and exchange solution.

Oldenburg said about crypto custody:

It’s a totally different environment to know that you are custodying your assets,” Oldenburg continued. “You have legal custody with Morgan Stanley, and Morgan Stanley is overseeing those assets for you. There’s always those that are going to want to self-custody. That’s a natural part of this space, especially in the Bitcoin space.

Morgan Stanley’s recent moves highlight a growing trend since the start of President Donald Trump’s latest administration, especially among Wall Street firms, as they soften their crypto stance and venture into the digital asset industry. The United States president has been a vocal supporter of the crypto industry, while pushing for regulatory clarity in the space.

Crypto Market Capitalization Takes A Tumble

As of this writing, the global cryptocurrency market capitalization stands at $2.34 trillion, reflecting an over 2% decline in the past 24 hours.

The crypto total market cap on the daily timeframe | Source: TOTAL chart on TradingView

Related Questions

QWhat is the main purpose of Morgan Stanley's application for a new national bank charter?

AThe main purpose is to enable Morgan Stanley to offer crypto custody and staking services, as well as conduct crypto trading for its investment clients.

QWho is Amy Oldenburg and what role does she play in Morgan Stanley's digital asset strategy?

AAmy Oldenburg is the recently appointed head of digital asset strategy at Morgan Stanley, and she is leading the firm's strategic push into the digital asset industry.

QWhat specific cryptocurrency ETFs did Morgan Stanley file for in the United States earlier this year?

AMorgan Stanley filed for Bitcoin, Ether, and Solana exchange-traded funds (ETFs) in the United States.

QAccording to the report, what is the current state of the global cryptocurrency market capitalization?

AAs of the report, the global cryptocurrency market capitalization stands at $2.34 trillion, reflecting an over 2% decline in the past 24 hours.

QHow does the article connect Morgan Stanley's actions to the broader political climate in the United States?

AThe article states that Morgan Stanley's moves are part of a growing trend since the start of President Donald Trump's latest administration, where Wall Street firms are softening their crypto stance, and that the president has been a vocal supporter of the crypto industry.

Related Reads

Kalshi-CFTC Fight In New Mexico Could Shape Prediction Market Rules

A jurisdictional battle between the U.S. Commodity Futures Trading Commission (CFTC) and the state of New Mexico over the regulation of prediction markets could set national rules for the industry. At issue is who polices platforms like Kalshi, with the CFTC asserting federal oversight and New Mexico arguing state gaming and consumer protection laws apply, especially for contracts resembling wagers on events like elections or sports. The outcome will determine if prediction markets can scale nationally under a clear federal framework or face a fragmented, state-by-state regulatory landscape. This dispute is significant for the crypto-adjacent trading community, which often engages with these speculative event markets. A clearer rulebook could boost mainstream adoption, liquidity, and integration with crypto infrastructure, while a state-led challenge could stifle growth. The case is particularly sensitive for sports-related contracts, where the line between financial markets and gambling blurs. Ultimately, this legal fight will shape whether prediction markets become a scalable national product or remain constrained by jurisdictional conflicts.

bitcoinist36m ago

Kalshi-CFTC Fight In New Mexico Could Shape Prediction Market Rules

bitcoinist36m ago

The Value Distribution of Stablecoins

**Summary: The Value Distribution of Stablecoins** The article argues that stablecoins are evolving from mere trading tools into broader channels for dollar access. It divides the stablecoin ecosystem into four layers to analyze how value is distributed: 1. **Issuance Layer:** Mints stablecoins, holds reserve assets, and captures the spread between reserve yield and user costs (e.g., Tether, Circle). This layer currently earns the largest profit margin. 2. **Infrastructure Layer:** Connects stablecoins to the traditional financial system, handling fiat on/off-ramps, banking integration, compliance (KYC/AML), and asset management (e.g., Bridge, BVNK). This is the "unglamorous" but critical work, building the essential bridges between crypto and real-world finance. 3. **Acquiring/Distribution Layer:** Integrates stablecoins into merchant systems, manages payment flows, and provides enterprise financial software (e.g., Stripe, Coinbase). They act as the access point for businesses. 4. **Application Layer:** The end-users and businesses that ultimately use stablecoins for payments, settlements, or as a store of value. They benefit from convenience but have little pricing power. The core thesis is that while the issuance layer currently dominates profits, the often-overlooked **infrastructure layer holds significant long-term potential**. The real challenge and barrier to mass adoption is not the on-chain transfer of stablecoins (which is simple), but the complex "last mile" integration into existing business workflows, banking systems, and regulatory frameworks across different countries. Companies in this layer are currently in a "land grab" phase, investing heavily to build networks, secure bank partnerships, and establish compliance pathways. While their position is currently pressured by the profitable issuers above and distribution platforms below, the article suggests that if stablecoins become a default financial rail for businesses, the infrastructure providers who have done the hard work of integration will ultimately gain strong pricing power and become entrenched, essential players.

marsbit5h ago

The Value Distribution of Stablecoins

marsbit5h ago

The Value Distribution of Stablecoins

The Value Distribution of Stablecoins The article argues that stablecoins are evolving from a mere trading tool into a broad "dollar channel." It analyzes the industry's value chain through four layers: 1. **Issuance Layer (e.g., Tether, Circle):** The top layer that mints stablecoins, holds reserve assets, and captures the thickest interest rate spread. 2. **Infrastructure Layer (e.g., Bridge, BVNK):** Connects stablecoins to the traditional financial system, handling critical but complex "dirty work" like fiat on/off-ramps, banking integration, compliance (KYC/AML), and cross-border settlement. 3. **Acquiring/Distribution Layer (e.g., Stripe, Coinbase):** Embeds stablecoins into merchant systems, manages payment flows, and integrates with enterprise software. 4. **Application Layer:** End-users and businesses that ultimately use stablecoins for payments, settlement, or storing value. The author posits that while the issuance layer currently captures the most profit, the most overlooked and potentially critical layer is infrastructure. The core challenge for stablecoin adoption isn't the on-chain transfer (which is simple), but bridging the gap between blockchain and the real-world financial system. This involves solving practical problems for businesses: fiat conversion, reconciliation, tax handling, and user onboarding. Infrastructure companies are currently in a difficult "land-grab" phase—building networks, securing banking relationships, and achieving compliance country-by-country. They face pressure from both the profitable issuance layer above and distribution platforms below. However, the author suggests this layer is building a crucial moat. Once stablecoins become a default business rail, the infrastructure players who have done the hard work of integration may gain significant, durable value and pricing power.

链捕手5h ago

The Value Distribution of Stablecoins

链捕手5h ago

Why Is Nvidia Borrowing $20 Billion When It's Not Short of Cash?

Nvidia's recent announcement to issue at least $20 billion in senior notes, despite holding a strong cash position with over $48.6 billion in free cash flow last quarter, is not a sign of financial need. Instead, it represents a strategic move to leverage its high credit rating (recently upgraded to AA by S&P) to secure low-cost, long-term debt. This capital will support long-term AI infrastructure investments, data centers, R&D, supply chain prepayments, and strategic investments, while allowing the company to continue aggressive shareholder returns through stock buybacks and dividends. The decision reflects a mature capital management strategy: using debt to finance long-term growth assets is more efficient and less dilutive to shareholders than equity financing. It signals that Nvidia, like other tech giants (Alphabet, Meta, Amazon), is entering a new phase of heavy AI capital expenditure, shifting from a pure growth story to a story about capital allocation, credit strength, and long-term ecosystem positioning. The key question for investors is whether Nvidia can maintain its high cash flow generation and ensure that returns from these AI investments justify the cost of capital over the long term. The bond issuance amplifies its expansion capabilities but also ties its valuation more closely to the broader AI investment cycle's sustainability and profitability.

marsbit6h ago

Why Is Nvidia Borrowing $20 Billion When It's Not Short of Cash?

marsbit6h ago

Liberland Fires Tech Secretary After Alleged Blockchain And Website Takeover Attempt

Liberland's congress has voted to remove Technology Secretary Dorian Stern Vukotić, following a resolution accusing him of attempting to hijack the Liberland.org domain, removing administrative multisig protections, blocking the president from voting, and launching unauthorized tokens. The incident serves as a case study in blockchain governance, highlighting risks that go beyond smart contracts to include control over domains, admin keys, and off-chain authority. For the crypto industry, it underscores the need to scrutinize decentralization claims against operational realities, where a small group can still compromise governance. The story reflects a broader market shift where infrastructure security and governance are becoming as critical as price action. Editorial framing should treat the development as a verified information signal about governance risks, avoiding overstatement of Liberland's legal status and leaving room for follow-up evidence.

bitcoinist6h ago

Liberland Fires Tech Secretary After Alleged Blockchain And Website Takeover Attempt

bitcoinist6h ago

Trading

Spot
Futures

Hot Articles

What is $BANK

Bank AI: A Revolutionary Step in the Future of Banking Introduction In an era marked by rapid advancements in technology, Bank AI stands at the intersection of artificial intelligence (AI) and banking services. This innovative project seeks to redefine the financial landscape, enhancing operational efficiency, security measures, and customer experiences through the power of AI. As we embark on this exploration of Bank AI, we will delve into what the project entails, its operational dynamics, its historical context, and significant milestones. What is Bank AI? At its core, Bank AI represents a transformative initiative aimed at integrating artificial intelligence into various banking operations. This project harnesses the capabilities of AI to automate processes, improve risk management protocols, and enhance customer interaction through personalised services. The primary objectives of Bank AI include: Automation of Banking Functions: By leveraging AI technologies, Bank AI aims to automate routine tasks, reducing the burden on human resources and enhancing efficiency. Enhanced Risk Management: The project utilises AI algorithms to predict and identify risks, thereby fortifying security measures against fraud and other threats. Personalisation of Banking Services: Bank AI focuses on offering tailored financial products and services by analysing customer data and behaviours. Improving Customer Experience: The implementation of AI-driven solutions, such as chatbots and virtual assistants, aims to provide users with more human-like interactions, revolutionising the way customers engage with banks. With these goals, Bank AI positions itself as a crucial player in rendering banking more efficient, secure, and user-centric. Who is the Creator of Bank AI? Details regarding the creator of Bank AI remain unknown. As such, no specific individual or organisation has been identified in the available information. The anonymity surrounding the project's inception raises questions but does not detract from its ambitious vision and objectives. Who are the Investors of Bank AI? Similar to the project's creator, specific information regarding the investors or supporting organisations of Bank AI has not been disclosed. Without this information, it is challenging to outline the financial backing and institutional support that might be propelling the project forward. Nevertheless, the importance of having a robust investment foundation is pivotal for sustaining development in such an innovative field. How Does Bank AI Work? Bank AI operates on several innovative fronts, focusing on unique factors that differentiate it from traditional banking frameworks. Below are key operational features: Automation: By applying machine learning algorithms, Bank AI automates various manual processes within banks. This results in reduced operational costs and allows human workers to redirect their efforts towards more strategic activities. Advanced Risk Management: The integration of AI into risk management practices equips banks with tools to accurately predict potential threats such as fraud, ensuring that customer information and assets remain secure. Tailored Financial Recommendations: Through continuous learning from customer interactions, the AI systems develop a nuanced understanding of user needs, enabling them to offer tailored advice on financial decisions. Enhanced Customer Interactions: Utilizing chatbots and virtual assistants powered by AI, Bank AI enables a more engaging customer experience, allowing users to have their queries resolved quickly, thus reducing wait times and improving satisfaction levels. Together, these operational features position Bank AI as a pioneer in the banking sector, establishing new benchmarks for service delivery and operational excellence. Timeline of Bank AI Understanding the trajectory of Bank AI requires a look at its historical context. Below is a timeline highlighting important milestones and developments: Early 2010s: The conceptualisation of AI integration into banking services began to gain attention as banking institutions recognised the potential benefits. 2018: A marked increase in the implementation of AI technologies occurred when banks started using AI tools like chatbots for basic customer service and risk management systems for improved security handling. 2023: The sophistication of AI continued to advance, with generative AI being introduced for more complex tasks such as document processing and real-time investment analysis. This year marked a significant leap in the capabilities afforded to banks by AI technology. 2024-Current Status: As of this year, Bank AI is on an upward trajectory, with ongoing research and developments poised to further enhance capabilities in banking operations. Continued exploration of AI applications hints at exciting developments yet to come. Key Points About Bank AI Integration of AI in Banking: Bank AI focuses on adopting artificial intelligence to streamline banking processes and improve user experiences. Automation and Risk Management Focus: The project strongly emphasises these areas, aiming to shift the burden of routine tasks while enhancing security frameworks through predictive analytics. Personalised Banking Solutions: By harnessing customer data, Bank AI enables tailored banking services that cater to individual user needs. Commitment to Development: Bank AI remains committed to ongoing research and development efforts, ensuring its adaptability and ongoing relevance as technology continues to evolve. Conclusion In summary, Bank AI exemplifies a crucial step forward in the banking industry, leveraging artificial intelligence to reshape operational paradigms, enhance security, and promote customer satisfaction. Despite gaps in information surrounding the creator and investors, the clear objectives and functional mechanisms of Bank AI provide a strong foundation for its ongoing evolution. As AI technology continues to advance and merge with the banking sector, Bank AI is well-positioned to significantly impact the future of financial services, enhancing the way we understand and interact with banking.

153 Total ViewsPublished 2024.04.06Updated 2024.12.03

What is $BANK

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of BANK (BANK) are presented below.

活动图片

Top Questions