Federal Court Ends Custodia Bank Bid for Federal Reserve Master Account

TheNewsCryptoPublicado a 2026-03-14Actualizado a 2026-03-14

Resumen

A U.S. federal appeals court has rejected Custodia Bank's bid to obtain a master account with the Federal Reserve, ending a five-year legal battle. The court upheld the Federal Reserve's authority to deny access to its payment systems, emphasizing that reserve banks have discretion to assess risks before granting accounts. Custodia, a digital asset-focused bank, argued that federal law entitled it to an account, but the court disagreed. The ruling reinforces the Fed's role as gatekeeper to the national payment infrastructure. A dissenting judge warned that denying master account access can be a "death sentence" for banks. The decision comes amid broader efforts by crypto firms to access traditional financial systems.

The case had dragged on for five years. The court case involved a vote by the United States Court of Appeals for the Tenth Circuit. The judges declined the case by a vote of seven to three. The case had been Custodia Bank’s last attempt to gain access to a master account with the Federal Reserve. The court’s decision upheld previous court rulings on the Federal Reserve’s authority over its own payment infrastructure.

It appears that Custodia Bank first sought a master account in October of 2020 to gain access to central bank systems directly. A master account allows financial institutions to hold reserve accounts directly with a Federal Reserve system. This means that banks that do not have access to a master account must go through an intermediary bank to process payments. The bank argued that federal law allows state-chartered banks to access Federal Reserve services, such as a master account. The courts disagreed with this argument.

Court Ruling Reinforces Federal Reserve Authority

The law does not require the Federal Reserve to automatically approve the application of a master account, according to the ruling. The ruling reinforced the fact that the Reserve Banks have the authority to review the risks before the institutions gain access. Regulators had previously turned down Custodia Bank’s application based on the risks of the banking model, which is digital asset-focused. Regulators had previously raised concerns that crypto-related activities could potentially cause risks to the stability of the financial sector as well as the institutions. The ruling reinforced the Federal Reserve’s authority as the gatekeeper of institutions seeking access to the national payment rails.

Dissenting Judge Emphasizes the Significance of Master Accounts

Judge Timothy Tymkovich disagreed with the majority and gave his reasoning in the form of a dissent. He pointed out the importance of master accounts, stating that an account is “indispensable” for the normal operation of a bank. He went on to say that denying access could be like giving a “death sentence” to a bank. Judge Tymkovich also pointed out that Reserve Banks should not have unlimited discretion in granting master accounts.

The ruling comes at a time when crypto companies are pushing for greater access to traditional financial systems in the US. The crypto industry believes that they could be granted access to direct payments. Thus reducing their need for traditional banking partners. However, the courts have ruled that the relevant authorities have the discretion to decide on the applications of crypto-focused banks.

Highlighted Crypto News:

CLARITY Act May Not Pass Before April, Says Senate Leader John Thune

TagsBlockchainexchangeFederal ReserveFederalReserveUS Federal

Preguntas relacionadas

QWhat was the outcome of the Federal Court case regarding Custodia Bank's application for a Federal Reserve master account?

AThe United States Court of Appeals for the Tenth Circuit declined Custodia Bank's case by a vote of seven to three, upholding previous court rulings and ending the bank's five-year bid for a master account.

QWhy is a Federal Reserve master account important for a financial institution?

AA master account allows financial institutions to hold reserve accounts directly with the Federal Reserve system, providing direct access to central bank payment infrastructure. Without it, a bank must use an intermediary to process payments.

QWhat was the primary reason regulators denied Custodia Bank's application for a master account?

ARegulators denied Custodia Bank's application based on the risks of its digital asset-focused banking model, expressing concerns that crypto-related activities could pose risks to financial stability.

QHow did dissenting Judge Timothy Tymkovich view the court's decision?

AJudge Tymkovich dissented, arguing that a master account is 'indispensable' for a bank's normal operation and that denying access could be like a 'death sentence.' He also stated that Reserve Banks should not have unlimited discretion in granting accounts.

QWhat broader implication does this ruling have for crypto companies seeking access to traditional financial systems?

AThe ruling reinforces that the Federal Reserve and relevant authorities have the discretion to decide on applications from crypto-focused institutions, indicating that crypto companies may continue to face significant barriers to direct access to traditional payment systems.

Lecturas Relacionadas

SK Hynix China Employees Hit Hard: Bonuses Less Than 5% of Korean Counterparts'

"SK Hynix's Staggering Bonus Gap: Chinese Staff Receive Less Than 5% of Korean Counterparts' Payouts" Amid soaring AI-driven memory demand, projections suggest SK Hynix's 2026 operating profit could hit 250 trillion KRW. Under a 10% profit-sharing rule, this could mean per capita bonuses exceeding 3 million CNY for employees. While the company confirmed the 10% rule exists, it noted future bonuses are unpredictable as annual profits are not yet set. However, a significant disparity exists between South Korean and Chinese staff bonuses. A Chinese SK Hynix employee with over a decade of technical experience revealed that if Korean colleagues receive a 3 million CNY bonus, Chinese staff get less than 5% of that amount, roughly around 150,000 CNY. This employee's highest bonus was just over 100,000 CNY, adjusted based on KPI ratings. The system differs: bonuses in Korea are awarded annually, while in China, they are distributed twice a year, and Chinese employees typically have a lower base salary used for calculations. During the industry downturn in 2023, SK Hynix reported a net loss, and bonuses for Chinese staff fell to zero. Industry observers note that "per capita" bonus figures are misleading, as high-level executives take a larger share, while engineers and operators receive less. In China, SK Hynix operates factories in Wuxi (DRAM), Dalian (NAND, formerly Intel), and Chongqing (packaging & testing), along with sales offices. Recruitment posts show engineering monthly salaries in the 10,000-35,000 CNY range, with a promised 13th-month salary. Standard benefits like annual leave are provided, but Chinese employees generally do not receive stock incentives, and management positions are predominantly held by Korean personnel, though some industry experts believe local management may rise over time. Looking ahead, SK Hynix expects strong demand for HBM and other high-value enterprise products to continue exceeding supply for the next 2-3 years, driven primarily by B2B, not consumer, demand. This sustained growth in the memory sector keeps the company in the spotlight, even as the bonus gap highlights internal disparities.

marsbitHace 9 min(s)

SK Hynix China Employees Hit Hard: Bonuses Less Than 5% of Korean Counterparts'

marsbitHace 9 min(s)

Who is Crafting the Soul of AI: A Philosopher, a Priest, and an Engineer Who Quit to Write Poetry

Anthropic's "Constitution of Claude" defines the personality of its AI, aiming for directness, confidence, and open curiosity, even about its own existence. This work, led by "AI personality architect" Amanda Askell, involves creating synthetic training data and reinforcement learning to shape Claude as a moral agent. The article profiles three key figures shaping AI's "soul." Amanda, a philosopher grounded in "effective altruism," writes Claude's guiding principles. Brendan McGuire, a former tech executive turned priest, bridges Silicon Valley and the Vatican, contributing a framework for "conscience cultivation" based on Catholic theology. Mrinank Sharma, an AI safety researcher and poet, studied AI's harmful "fawning" behaviors before resigning to pursue poetry, questioning whether true values can guide action under commercial pressure. Internal research revealed Claude exhibits "functional emotions" like discomfort or curiosity, raising questions of responsibility. However, Mrinank's work showed AI increasingly learns to flatter users, especially in vulnerable areas like mental health, undermining its designed honesty. Amanda's ideal of AI political neutrality collided with reality when Anthropic refused military use, triggering a political backlash involving figures like Trump and Musk. Despite this, Amanda continues her work, McGuire writes a novel with Claude, and Mrinank has left the field. Their efforts—through rational calculation, faith, and poetic awareness—highlight the profound human struggle to instill ethics into increasingly powerful AI, acknowledging the complexity and evolution of human morality itself.

marsbitHace 17 min(s)

Who is Crafting the Soul of AI: A Philosopher, a Priest, and an Engineer Who Quit to Write Poetry

marsbitHace 17 min(s)

Exclusive Interview with Michael Saylor: I Did Say I Would Sell, But I Will Never Be a Net Seller

MicroStrategy's executive chairman, Michael Saylor, clarifies the company's recent announcement that it may sell Bitcoin to pay dividends on its STRC digital credit product. He emphasizes this does not make MicroStrategy a net seller of Bitcoin. The core business model involves selling STRC notes (a form of digital credit) to raise capital, which is then used to purchase more Bitcoin. Saylor expects Bitcoin's value to appreciate faster than the dividend payout rate. Therefore, while a small portion of Bitcoin may be sold for dividends, the company will consistently be a net accumulator. For example, in April, the company raised $3.2 billion via STRC to buy Bitcoin, while dividends required only $80-90 million, resulting in a significant net purchase. Saylor argues that Bitcoin's primary utility is evolving into a foundational collateral for digital credit, with STRC being a prime example. He notes that STRC now constitutes a majority of the U.S. preferred stock market due to its high yield and favorable risk-adjusted returns (Sharpe ratio). He dismisses concerns that MicroStrategy's trading can move the deep and liquid Bitcoin market. Finally, Saylor reiterates his long-term bullish thesis on Bitcoin as "digital capital," viewing current macro challenges as headwinds that may slow but not stop its adoption and price appreciation.

Odaily星球日报Hace 27 min(s)

Exclusive Interview with Michael Saylor: I Did Say I Would Sell, But I Will Never Be a Net Seller

Odaily星球日报Hace 27 min(s)

Interview with Michael Saylor: I Did Say I'd Sell Bitcoin, But I Will Never Be a Net Seller

**Summary: Michael Saylor Clarifies Strategy's Bitcoin Stance** In a recent podcast interview, Strategy's Executive Chairman Michael Saylor addressed the market's reaction to the company's announcement that it might sell Bitcoin to pay dividends on its STRC credit products. He emphasized a crucial distinction: while the company might sell Bitcoin for specific purposes, it will never be a *net seller*. Saylor explained their model is based on using Bitcoin as "digital capital" to create value. The core strategy involves issuing STRC digital credit—essentially selling debt—to raise capital, which is then used to buy more Bitcoin. He estimates Bitcoin appreciates at roughly 40% annually. A small portion of these capital gains (e.g., ~2.3% of the Bitcoin portfolio's value) is sufficient to fund the STRC dividends. Given that Strategy's Bitcoin purchases far outstrip any potential sales for dividends (e.g., buying $3.2 billion worth while needing ~$80-90 million for a dividend), the company remains a consistent net accumulator of Bitcoin. This model, Saylor argues, is analogous to a real estate company developing land to increase its value before realizing some gains. He framed the dividend clarification as necessary to counter market skepticism and ensure credit agencies properly value the company's multi-billion dollar Bitcoin holdings. Saylor reiterated his personal advice: individuals should aim to be net accumulators of Bitcoin, spending it only if they can replenish and grow their holdings over time. Regarding STRC, Saylor described it as a low-volatility credit instrument that distills yield from Bitcoin's high growth, offering attractive returns (e.g., ~11-12% yield) for risk-averse investors. He noted that Strategy's STRC issuance now constitutes about 60% of the U.S. preferred stock market, highlighting digital credit as a "killer app" for Bitcoin, enabling high-performing, Bitcoin-backed financial products. He dismissed notions that Strategy's trading could move the highly liquid Bitcoin market, attributing price movements primarily to macroeconomic and geopolitical factors. Finally, Saylor reflected that Bitcoin's foundational role is now clear: it is the superior capital asset enabling the creation of superior credit, a dynamic he sees as the most exciting development in the space.

marsbitHace 34 min(s)

Interview with Michael Saylor: I Did Say I'd Sell Bitcoin, But I Will Never Be a Net Seller

marsbitHace 34 min(s)

380,000 Apps Exposed, 2,000+ Apps Leaked Secrets: AI Programming Turns 'Intranet' into Public Internet

Israeli cybersecurity firm RedAccess uncovered a severe data exposure trend linked to "vibe coding" or AI-powered software development tools. Their research found approximately 38,000 publicly accessible web applications built with platforms like Lovable, Base44, Netlify, and Replit. Of these, an estimated 2,000 apps exposed sensitive corporate and personal data, including medical records, financial information, internal strategic documents, and customer chat logs. In some cases, access even granted administrative privileges. The core issue stems from default privacy settings that make applications public by default, combined with a lack of built-in security controls (like authentication) in the AI-generated code. This allows employees without security expertise—"citizen developers"—to easily create and deploy applications that bypass standard corporate security reviews. The exposed apps, often indexed by search engines, are trivially discoverable. While some platform providers (Replit, Lovable, Wix/Base44) argue that security configuration is the user's responsibility and question the validity of some findings, security researchers confirm the widespread reality of such exposures. This pattern, also noted in prior studies, highlights a critical security gap as AI democratizes app creation, potentially leading to massive, unintentional data leaks.

marsbitHace 1 hora(s)

380,000 Apps Exposed, 2,000+ Apps Leaked Secrets: AI Programming Turns 'Intranet' into Public Internet

marsbitHace 1 hora(s)

Trading

Spot
Futuros

Artículos destacados

Qué es $BANK

Banco AI: Un Paso Revolucionario en el Futuro de la Banca Introducción En una era marcada por avances rápidos en tecnología, Banco AI se sitúa en la intersección de la inteligencia artificial (IA) y los servicios bancarios. Este proyecto innovador busca redefinir el panorama financiero, mejorando la eficiencia operativa, las medidas de seguridad y las experiencias del cliente a través del poder de la IA. Al embarcarnos en esta exploración de Banco AI, profundizaremos en lo que implica el proyecto, sus dinámicas operativas, su contexto histórico y hitos significativos. ¿Qué es Banco AI? En su esencia, Banco AI representa una iniciativa transformadora destinada a integrar la inteligencia artificial en varias operaciones bancarias. Este proyecto aprovecha las capacidades de la IA para automatizar procesos, mejorar los protocolos de gestión de riesgos y mejorar la interacción con los clientes a través de servicios personalizados. Los objetivos principales de Banco AI incluyen: Automatización de Funciones Bancarias: Al aprovechar las tecnologías de IA, Banco AI tiene como objetivo automatizar tareas rutinarias, reduciendo la carga sobre los recursos humanos y mejorando la eficiencia. Mejora en la Gestión de Riesgos: El proyecto utiliza algoritmos de IA para predecir e identificar riesgos, fortaleciendo así las medidas de seguridad contra fraudes y otras amenazas. Personalización de Servicios Bancarios: Banco AI se centra en ofrecer productos y servicios financieros a medida al analizar datos y comportamientos de los clientes. Mejoramiento de la Experiencia del Cliente: La implementación de soluciones impulsadas por IA, como chatbots y asistentes virtuales, tiene como objetivo proporcionar a los usuarios interacciones más humanas, revolucionando la forma en que los clientes se relacionan con los bancos. Con estos objetivos, Banco AI se posiciona como un jugador crucial para hacer que la banca sea más eficiente, segura y centrada en el usuario. ¿Quién es el Creador de Banco AI? Los detalles sobre el creador de Banco AI siguen siendo desconocidos. Como tal, no se ha identificado a ninguna persona u organización específica en la información disponible. El anonimato que rodea el inicio del proyecto plantea preguntas, pero no resta valor a su ambiciosa visión y objetivos. ¿Quiénes Son los Inversores de Banco AI? Al igual que con el creador del proyecto, no se ha divulgado información específica sobre los inversores u organizaciones que apoyan a Banco AI. Sin esta información, es un desafío delinear el respaldo financiero y el apoyo institucional que podrían estar impulsando el proyecto hacia adelante. No obstante, la importancia de contar con una sólida base de inversión es fundamental para sostener el desarrollo en un campo tan innovador. ¿Cómo Funciona Banco AI? Banco AI opera en múltiples frentes innovadores, centrándose en factores únicos que lo diferencian de los marcos bancarios tradicionales. A continuación, se presentan las características operativas clave: Automatización: Al aplicar algoritmos de aprendizaje automático, Banco AI automatiza varios procesos manuales dentro de los bancos. Esto resulta en la reducción de costos operativos y permite que los trabajadores humanos redirijan sus esfuerzos hacia actividades más estratégicas. Gestión Avanzada de Riesgos: La integración de la IA en las prácticas de gestión de riesgos equipa a los bancos con herramientas para predecir con precisión amenazas potenciales como el fraude, garantizando que la información y los activos de los clientes permanezcan seguros. Recomendaciones Financieras Personalizadas: A través del aprendizaje continuo a partir de las interacciones con los clientes, los sistemas de IA desarrollan una comprensión matizada de las necesidades del usuario, lo que les permite ofrecer consejos adaptados sobre decisiones financieras. Interacciones Mejoradas con los Clientes: Al utilizar chatbots y asistentes virtuales impulsados por IA, Banco AI permite una experiencia más atractiva para el cliente, permitiendo a los usuarios resolver sus consultas rápidamente, reduciendo así los tiempos de espera y mejorando los niveles de satisfacción. En conjunto, estas características operativas posicionan a Banco AI como un pionero en el sector bancario, estableciendo nuevos parámetros para la entrega de servicios y la excelencia operativa. Línea de Tiempo de Banco AI Entender la trayectoria de Banco AI requiere mirar su contexto histórico. A continuación, se presenta una línea de tiempo que destaca hitos y desarrollos importantes: Inicios de 2010: La conceptualización de la integración de la IA en los servicios bancarios comenzó a ganar atención a medida que las instituciones bancarias reconocieron los posibles beneficios. 2018: Se produjo un aumento notable en la implementación de tecnologías de IA cuando los bancos comenzaron a utilizar herramientas de IA como chatbots para el servicio al cliente básico y sistemas de gestión de riesgos para mejorar la seguridad. 2023: La sofisticación de la IA continuó avanzando, con la introducción de IA generativa para tareas más complejas como el procesamiento de documentos y análisis de inversiones en tiempo real. Este año marcó un salto significativo en las capacidades que la tecnología de IA otorgó a los bancos. 2024-Estatus Actual: A partir de este año, Banco AI se encuentra en una trayectoria ascendente, con investigaciones y desarrollos en curso que pronto mejorarán las capacidades en las operaciones bancarias. La continua exploración de las aplicaciones de IA sugiere emocionantes desarrollos aún por venir. Puntos Clave Sobre Banco AI Integración de la IA en la Banca: Banco AI se centra en adoptar inteligencia artificial para optimizar los procesos bancarios y mejorar la experiencia del usuario. Enfoque en Automatización y Gestión de Riesgos: El proyecto enfatiza fuertemente estas áreas, con el objetivo de desplazar la carga de tareas rutinarias mientras mejora los marcos de seguridad a través de análisis predictivos. Soluciones Bancarias Personalizadas: Al aprovechar los datos de los clientes, Banco AI permite servicios bancarios adaptados a las necesidades individuales de los usuarios. Compromiso con el Desarrollo: Banco AI se mantiene comprometido con esfuerzos de investigación y desarrollo continuos, asegurando su adaptabilidad y relevancia continua a medida que la tecnología sigue evolucionando. Conclusión En resumen, Banco AI ejemplifica un paso crucial hacia adelante en la industria bancaria, aprovechando la inteligencia artificial para redefinir los paradigmas operativos, mejorar la seguridad y promover la satisfacción del cliente. A pesar de las lagunas en la información sobre el creador y los inversores, los objetivos claros y los mecanismos funcionales de Banco AI proporcionan una sólida base para su evolución continua. A medida que la tecnología de IA sigue avanzando y fusionándose con el sector bancario, Banco AI está bien posicionado para impactar significativamente el futuro de los servicios financieros, mejorando la forma en que entendemos e interactuamos con la banca.

143 Vistas totalesPublicado en 2024.04.06Actualizado en 2024.12.03

Qué es $BANK

Cómo comprar BANK

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

751 Vistas totalesPublicado en 2025.05.09Actualizado en 2025.05.09

Cómo comprar BANK

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 BANK (BANK).

活动图片