US economy still solid, officials can be patient
By: bitcoin ethereum news|2025/05/15 08:30:07
0
Share
Federal Reserve Bank of San Francisco President Mary Daly said late Wednesday that the strength of the US economy allows policymakers to be patient as they wait for more evidence of how the US President Donald Trump’s policies will affect businesses and households, per Bloomberg. Key quotes Monetary policy is well-positioned, moderately restrictive. Businesses are cautious amid uncertainty, but not stalling out. Solid growth, solid labor market, declining inflation, that’s where we want to be. Fed policy can respond to whatever comes into the economy. Patience is the word of the day. Loan demand is solid, credits are good. Any guidance on policy would be speculative and wrong, given the uncertainty. Market reaction The US Dollar Index (DXY) is trading 0.07% lower on the day at 100.99, as of writing. Fed FAQs Monetary policy in the US is shaped by the Federal Reserve (Fed). The Fed has two mandates: to achieve price stability and foster full employment. Its primary tool to achieve these goals is by adjusting interest rates. When prices are rising too quickly and inflation is above the Fed’s 2% target, it raises interest rates, increasing borrowing costs throughout the economy. This results in a stronger US Dollar (USD) as it makes the US a more attractive place for international investors to park their money. When inflation falls below 2% or the Unemployment Rate is too high, the Fed may lower interest rates to encourage borrowing, which weighs on the Greenback. The Federal Reserve (Fed) holds eight policy meetings a year, where the Federal Open Market Committee (FOMC) assesses economic conditions and makes monetary policy decisions. The FOMC is attended by twelve Fed officials – the seven members of the Board of Governors, the president of the Federal Reserve Bank of New York, and four of the remaining eleven regional Reserve Bank presidents, who serve one-year terms on a rotating basis. In extreme situations, the Federal Reserve may resort to a policy named Quantitative Easing (QE). QE is the process by which the Fed substantially increases the flow of credit in a stuck financial system. It is a non-standard policy measure used during crises or when inflation is extremely low. It was the Fed’s weapon of choice during the Great Financial Crisis in 2008. It involves the Fed printing more Dollars and using them to buy high grade bonds from financial institutions. QE usually weakens the US Dollar. Quantitative tightening (QT) is the reverse process of QE, whereby the Federal Reserve stops buying bonds from financial institutions and does not reinvest the principal from the bonds it holds maturing, to purchase new bonds. It is usually positive for the value of the US Dollar. Source: https://www.fxstreet.com/news/feds-daly-us-economy-still-solid-officials-can-be-patient-202505142242
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.