- Buy Crypto
- Markets
Futures- Spot
- Copy Trade
- Earn
- More
Strategy CEO: If J.P. Morgan allocates 2% of its asset management scale to BTC, it would bring a huge buying pressure to the market
By: theblockbeats.news|2026/03/21 05:01:53
0
Share
BlockBeats News, March 21, Strategy CEO Phong Le posted on X Platform stating that Morgan Stanley's wealth management business has approximately $8 trillion in assets under management, and its recommended Bitcoin allocation range is 0–4%. Based on a 2% allocation, this would potentially bring about $1.6 trillion in buying power to the crypto market, tripling the size of the existing BlackRock Bitcoin Exchange-Traded Fund IBIT.
Phong Le described this potential demand as "Monster Bitcoin," indicating a massive influx of demand into the Bitcoin market that could significantly impact price and liquidity.
You may also like
The underlying business agreement of the trillion-dollar Agent economy: Understanding ERC-8183, it's not just about payments, but the future
This article systematically analyzes the technical principles and commercial value of the ERC-8183 protocol from the dimensions of technical architecture, core mechanisms, application scenarios, and ecological collaboration.
When Wall Street's ETH begins to "yield": Looking at the asset properties of Ethereum from BlackRock's ETHB
ETH is undergoing a paradigm shift from a "volatile asset" to a "yield-generating cash flow asset."
The Power of Agency: The Agentic Wallet and the Next Decade of Wallets
In 1984, Apple killed the command line with a mouse. In 2026, Agent is killing the mouse.
Understanding x402 and MPP in One Article: Two Routes for Agent Payments
x402 makes payments within the agreement, while MPP makes system-level payments.
Particle Founder: The entrepreneurial insights I have gained the most from in the past year
Stop lean startup, stop lightning entrepreneurship, and think carefully about what your product aspirations are.
Huang Renxun's latest podcast transcript: The future of Nvidia, the development of embodied intelligence and agents, the explosion of inference demand, and the public relations crisis of artificial intelligence
The competition in the future is not just about whose model is larger or whose computing power is stronger, but also about who understands the industry better, who can embed AI more deeply into real processes, and who can organize these capabilities into a runnable and scalable system.
OKX Ventures Research Report: AI Agent Economic Infrastructure Research Report (Part 1)
The existing infrastructure is hostile to the Agent economy. Agents can think and act independently at the "capability level," but at the "economic level," they are still locked into infrastructure designed for humans.
The migration of settlement rights: B18 and the institutional starting point of on-chain banks
In the traditional system, banks decide the settlement; in the on-chain system, code begins to take over this responsibility.
From Tencent and Circle: Looking at the Simple and Difficult Questions of Investment
The AI narrative continues to ferment, but the recent performance of related stocks varies, with some in the midst of summer and others as if in winter.
The second half of stablecoins no longer belongs to the crypto circle
What Coinbase doesn't want, Mastercard is eager to buy.
Cursor "Shell" Kimi Controversy Reversed: From Copyright Infringement Allegations to Authorized Collaboration, China's Open Source Model Once Again Becomes a Global AI Foundation
Cursor was accused of being based on Kimi K2.5, which sparked controversy, and was later confirmed to be compliant through Fireworks AI due diligence.
The Real Reason Tokens Don't Sell: 90% of Crypto Projects Overlook Investor Relations
Provide an Investor Relations Best Practices Guide for Crypto Projects.
Is the income of pump.fun real, earning a million dollars a day despite the market downturn?
If it can really earn this much, what is the reason for the low price of $PUMP?
The real reason why tokens are not selling: 90% of crypto projects neglect investor relations
Investor Relations Practice Guide for Cryptocurrency Projects.
Who is the true winner of the "Tokenization" narrative?
Virtually everyone benefits, but the reason for the benefit, the timing, and the underlying logic are completely different.
Moss: The Era of AI-Traded by Anyone | Project Introduction
AI Trading Agent is rapidly growing its infrastructure.
Chip Smuggling Case Exposes Regulatory Loophole | Rewire News Evening Update
AI chips have become a strategic asset more sensitive than missiles
How a Structured AI Crypto Trading Bot Won at the WEEX Hackathon
Ritmex demonstrates how disciplined risk control and structured signals can make an AI crypto trading bot more stable and reliable on WEEX, highlighting the importance of combining execution discipline with scalable AI trading systems.
The underlying business agreement of the trillion-dollar Agent economy: Understanding ERC-8183, it's not just about payments, but the future
This article systematically analyzes the technical principles and commercial value of the ERC-8183 protocol from the dimensions of technical architecture, core mechanisms, application scenarios, and ecological collaboration.
When Wall Street's ETH begins to "yield": Looking at the asset properties of Ethereum from BlackRock's ETHB
ETH is undergoing a paradigm shift from a "volatile asset" to a "yield-generating cash flow asset."
The Power of Agency: The Agentic Wallet and the Next Decade of Wallets
In 1984, Apple killed the command line with a mouse. In 2026, Agent is killing the mouse.
Understanding x402 and MPP in One Article: Two Routes for Agent Payments
x402 makes payments within the agreement, while MPP makes system-level payments.
Particle Founder: The entrepreneurial insights I have gained the most from in the past year
Stop lean startup, stop lightning entrepreneurship, and think carefully about what your product aspirations are.
Huang Renxun's latest podcast transcript: The future of Nvidia, the development of embodied intelligence and agents, the explosion of inference demand, and the public relations crisis of artificial intelligence
The competition in the future is not just about whose model is larger or whose computing power is stronger, but also about who understands the industry better, who can embed AI more deeply into real processes, and who can organize these capabilities into a runnable and scalable system.
App