TLDR The Federal Reserve keeps the federal funds rate at 4.25-4.5%, monitoring inflation and economic growth. Economic activity has moderated, but the unemployment rate remains low and stable. Fed’s focus is on inflation risks from tariffs and uncertainties in the global economy. The FOMC decision reflects concern about inflation and the evolving labor market conditions. [...] The post Federal Reserve Keeps Interest Rates Unchanged Amid Economic Uncertainty appeared first on CoinCentral.TLDR The Federal Reserve keeps the federal funds rate at 4.25-4.5%, monitoring inflation and economic growth. Economic activity has moderated, but the unemployment rate remains low and stable. Fed’s focus is on inflation risks from tariffs and uncertainties in the global economy. The FOMC decision reflects concern about inflation and the evolving labor market conditions. [...] The post Federal Reserve Keeps Interest Rates Unchanged Amid Economic Uncertainty appeared first on CoinCentral.

Federal Reserve Keeps Interest Rates Unchanged Amid Economic Uncertainty

4 min read

TLDR

  • The Federal Reserve keeps the federal funds rate at 4.25-4.5%, monitoring inflation and economic growth.
  • Economic activity has moderated, but the unemployment rate remains low and stable.

  • Fed’s focus is on inflation risks from tariffs and uncertainties in the global economy.

  • The FOMC decision reflects concern about inflation and the evolving labor market conditions.


At its July 29-30 meeting, the Federal Open Market Committee (FOMC) decided to keep the target range for the federal funds rate at 4.25% to 4.5%. This decision was made amid moderating economic growth and persistent inflation pressures, with the committee signaling its focus on achieving both maximum employment and stable inflation over time.

The decision marks a continuation of the Fed’s cautious stance on monetary policy, as it seeks to manage inflation while preventing a slowdown in economic activity. Despite some signs of inflationary pressure, particularly from tariffs, the central bank expressed its intent to adjust policy as necessary based on incoming data.

Economic Activity Moderates, Inflation Remains Elevated

During the meeting, FOMC participants noted that the U.S. economy had shown signs of moderation in the first half of 2025, with GDP growth slowing and inflation remaining somewhat elevated.

The inflation rate, as measured by the personal consumption expenditures (PCE) price index, was estimated at 2.5% in June, reflecting some persistence in consumer price pressures.

At the same time, the labor market has remained relatively stable, with the unemployment rate at 4.1%, and wage growth showing some signs of slowing. Participants discussed the ongoing effects of tariff increases on inflation, noting that higher tariffs were contributing to goods price inflation but were also expected to have a lagged effect on broader inflation trends.

Inflation and Tariff Effects: Risks to Policy Outlook

A significant part of the FOMC’s discussion centered on the role of tariffs in shaping inflation trends. Several participants expressed concerns that the inflationary impact of higher tariffs could remain persistent, especially as businesses begin passing on these costs to consumers.

However, some members noted that inflation, when adjusted for tariff effects, appeared to be closer to the Fed’s long-term target of 2%.

While the committee acknowledged the risk of sustained inflation due to tariffs, it also emphasized the need to monitor data closely before making any changes to the policy stance. The overall inflation outlook remains clouded by the uncertain effects of trade policies and the potential for inflation expectations to shift upward if the tariff impacts are not contained.

Federal Reserve Risk Management Approach: Preparing for Future Adjustments

In their risk management discussion, the committee highlighted the dual risks facing the economy—upside risks to inflation and downside risks to employment. The members agreed that, should inflation persist above the 2% target, more restrictive policies would be necessary to contain price pressures.

However, they also noted the possibility of easing monetary policy if economic growth slows and the labor market weakens significantly.

The committee emphasized its preparedness to adjust the federal funds rate based on evolving economic conditions. This flexible approach allows the Fed to respond to unexpected developments in inflation or employment, including potential risks arising from changes in global trade conditions.

Federal Reserve Focus on Financial Stability

During the meeting, the committee also reviewed financial stability risks. The Federal Reserve noted that while financial markets remained relatively stable, there were concerns about elevated asset valuations, particularly in equity and housing markets. The committee discussed the risks posed by nontraditional financing methods and leveraged positions in the financial sector.

In the banking sector, regulatory capital levels remained strong, but the Fed continued to monitor potential vulnerabilities linked to interest rate fluctuations and unrealized losses on bank assets. Participants also discussed the evolving risks from stablecoins and the broader implications of digital currencies for financial systems and monetary policy.

The post Federal Reserve Keeps Interest Rates Unchanged Amid Economic Uncertainty appeared first on CoinCentral.

Disclaimer: The articles reposted on this site are sourced from public platforms and are provided for informational purposes only. They do not necessarily reflect the views of MEXC. All rights remain with the original authors. If you believe any content infringes on third-party rights, please contact [email protected] for removal. MEXC makes no guarantees regarding the accuracy, completeness, or timeliness of the content and is not responsible for any actions taken based on the information provided. The content does not constitute financial, legal, or other professional advice, nor should it be considered a recommendation or endorsement by MEXC.

You May Also Like

Top NYC Book Publishing Companies

Top NYC Book Publishing Companies

New York City has been the epicenter of American publishing for generations, but “NYC publishing” isn’t just one lane. Today’s landscape includes two very different
Share
Techbullion2026/02/06 14:02
Sensorion Announces its Participation in the Association for Research in Otolaryngology ARO 49th Annual Midwinter Meeting

Sensorion Announces its Participation in the Association for Research in Otolaryngology ARO 49th Annual Midwinter Meeting

MONTPELLIER, France–(BUSINESS WIRE)–Regulatory News: Sensorion (FR0012596468 – ALSEN) a pioneering clinical-stage biotechnology company which specializes in the
Share
AI Journal2026/02/06 14:45
AI Crypto Trading Secrets: What They Won’t Tell You About Profits and Pitfalls|9-Figure Media

AI Crypto Trading Secrets: What They Won’t Tell You About Profits and Pitfalls|9-Figure Media

AI crypto trading is everywhere, and every YouTube guru claims their bot mints money while they sleep. Sounds dreamy, right? However, most don’t discuss the full story, the wild profits possible, and the lurking pitfalls. As someone obsessed with the intersection of artificial intelligence and digital assets, let me pull back the curtain on the realities of algorithmic trading in the crypto jungle. Here’s what nobody tells you: 87% of retail traders using automated systems lose money within their first year. The marketing materials show cherry-picked results. The testimonials come from paid affiliates. But here’s the twist. The remaining 13% who succeed aren’t just lucky. They understand something the majority misses entirely. The Reality Behind the Hype The crypto world loves success stories. You’ve probably seen them. “I made $50,000 in three months using this bot.” What they don’t mention? The $200,000 they lost by testing seventeen other systems first. Real talk: most trading algorithms fail because they’re built for perfect market conditions. Crypto markets are anything but perfect. Think about it like this. Would you trust a Formula 1 car to handle rush hour traffic? That’s essentially what most people do with their trading bots. Why Smart Money Uses Crypto AI Tools Differently Professional traders approach crypto AI tools with surgical precision. They don’t expect miracles. They expect consistent, measured results. The difference lies in understanding what these tools actually do well: • Risk management automation • Pattern recognition at scale • Emotional bias elimination • 24/7 market monitoring • Portfolio rebalancing Notice what’s missing from that list? Get-rich-quick schemes. The smartest crypto AI tools focus on protecting capital first. Profits come second. This mindset separates winners from losers. Here’s something interesting. 9-figure media companies track these patterns religiously. They know which crypto AI tools produce sustainable results versus flashy short-term gains. Professional traders using crypto AI tools typically target 15–25% annual returns. Not 500% monthly moonshots. The Startup Connection Most People Ignore AI for startups isn’t just about building the next ChatGPT. Many successful companies use AI to optimize their crypto treasury management. Smart startups integrate crypto AI tools into their financial operations early. They automate routine decisions. They reduce human error. They scale their trading operations without hiring armies of analysts. But here’s where it gets interesting. The best AI for startup applications in crypto aren’t the obvious ones. Consider automated tax reporting. Or real-time compliance monitoring. Or treasury optimization across multiple blockchains. These unsexy applications generate more consistent profits than flashy trading algorithms. AI for startups in the crypto space succeeds when it solves boring problems efficiently. Not when it promises unrealistic returns. The most successful AI for startups implementations focus on operational efficiency. They reduce costs. They minimize risks. They free up human resources for strategic decisions. Learning from Top AI Start-Ups Top AI start-ups in the crypto space share common characteristics. They prioritize transparency over marketing hype. Look at successful top AI start-ups like Chainalysis or Elliptic. They don’t promise easy money. They provide essential infrastructure. The best top AI start-ups focus on solving real problems: • Market data analysis • Security monitoring • Regulatory compliance • Portfolio analytics • Risk assessment These top AI start-ups understand something crucial. Sustainable businesses solve actual problems. They don’t just ride hype cycles. 9-figure media outlets consistently highlight these fundamental companies. They ignore the noise. They focus on substance. Many top AI start-ups actually discourage retail trading. They know the odds. They’ve seen the casualties. Instead, successful top AI start-ups build tools for institutions. Banks. Hedge funds. Companies with proper risk management systems. The Hidden Costs Nobody Discusses Using crypto AI tools costs more than subscription fees. Much more. First, there’s the learning curve. Most people spend months figuring out proper settings. During this time, they’re paying tuition to the market. Second, there’s infrastructure. Reliable crypto AI tools require stable internet, backup systems, and proper security measures. Third, there’s opportunity cost. Time spent tweaking algorithms could be spent learning fundamental analysis. The real cost? Most people using crypto AI tools trade more frequently. Increased trading usually means increased losses. Think about 9-figure media companies again. They understand that technology amplifies existing skills. It doesn’t replace them. Smart Implementation Strategies Successful crypto AI tools users follow specific patterns: • Start with paper trading • Use position sizing rules • Set strict stop losses • Monitor performance weekly • Adjust strategies quarterly They treat crypto AI tools like any other business tool. With respect. With caution. With realistic expectations, startup applications work similarly. They augment human decision-making. They don’t replace it. The most successful AI for startups implementations in crypto involve human oversight at every level. Algorithms suggest. Humans decide. What Actually Works Here’s what separates successful crypto AI tools users from everyone else: They focus on consistency over home runs. They understand that small, regular gains compound better than occasional big wins followed by devastating losses. They apply AI principles to their approach for startups. They iterate quickly. They fail fast. They learn constantly. They study top AI start-ups for inspiration. But they don’t try to replicate their exact strategies. Most importantly, they never risk money they can’t afford to lose. The crypto market will humble anyone. AI doesn’t change this fundamental truth. Your success with crypto AI tools depends more on your discipline than the sophistication of your algorithms. Remember: the house always has an edge. Your job is to find where that edge doesn’t apply. That’s the secret they won’t tell you. AI Crypto Trading Secrets: What They Won’t Tell You About Profits and Pitfalls|9-Figure Media was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story
Share
Medium2025/09/18 23:20