Bank of America рекомендовал клиентам направить до 4% инвестиций в биткоин-ETF

cryptonews.ruPublished on 2025-12-19Last updated on 2025-12-19

Bank of America (BoA) официально одобрил криптовалютные инвестиции для своих состоятельных клиентов. Финансовое учреждение рекомендовало клиентам выделить от 1% до 4% портфеля на цифровые активы.

Руководство BoA назвало эту рекомендацию прямым ответом на растущий спрос.

О новой политике в интервью Yahoo Finance рассказал главный инвестиционный директор Bank of America Private Bank Крис Хайзи.

По его словам, скромное распределение от 1% до 4% в цифровые активы может быть уместным для инвесторов, которые заинтересованы в тематических инновациях и готовы к повышенной волатильности.

«Наше руководство делает акцент на регулируемых инструментах, вдумчивом распределении и четком понимании как возможностей, так и рисков», — подчеркнул Хайзи.

Он также уточнил, что нижний предел диапазона подойдет для клиентов с консервативным профилем, тогда как верхний предел — для инвесторов с более высокой толерантностью к общему портфельному риску.

По теме: Минфин и ЦБ РФ рассматривают отказ от концепции «суперквалов» для криптоинвестиций

Уолл-стрит переключается на биткоин

Рекомендация BoA стала частью широкого институционального движения в криптосферу.

Morgan Stanley еще в октябре предложил инвесторам выделять 2-4% портфеля на первую криптовалюту, назвав ее «спекулятивным, но набирающим популярность классом активов».

BlackRock выступал за аллокацию в 1-2%, а Fidelity рекомендовал 2-5% (7,5% для молодых инвесторов).

2 декабря Vanguard сообщил, что предоставит более 50 клиентам доступ к операциям с биржевыми и взаимными фондам на базе цифровых активов.

Многие банки США, впрочем, все еще ожидают принятия ключевого криптозаконодательства CLARITY Act, которое установит федеральные правила игры.

По теме: Morgan Stanley разрешил инвестировать в криптовалюту всем клиентам

Регуляторный поворот

Администрация президента США Дональда Трампа за этот год произвела «драматический поворот» в криптополитике страны. Она устранила ряд барьеров, возведенных регуляторами предыдущей эпохи, что привело к росту регуляторной ясности для индустрии.

По данным консалтинговой компании Cornerstone Research, число криптоисков под текущим руководством Комиссии по ценным бумагам и биржам США (SEC) упало на 30%.

Однако, несмотря на то, что динамика превратила большую часть Уолл-стрит в «быков», рынок криптовалют в последние недели пережил турбулентность. 1 декабря цена биткоина (BTC) опустилась до $85 000, потеряв примерно треть своей стоимости после исторического максимума выше $126 000 в начале октября.

За последние сутки цена первой криптовалюты восстановилась на 2,25%, до $88 220.

Криптовалюты, Банки
Дневной график BTC/USD. Источник: CoinMarketCap.

По теме: в Grayscale спрогнозировали новый ATH биткоина в 2026 году

Эта статья не содержит инвестиционных советов или рекомендаций. Каждое инвестиционное и торговое решение связано с риском, читатели должны самостоятельно проводить исследование перед принятием решений.

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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. 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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. 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What is $BANK

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