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| Nvidia’s strong quarterly forecast sparks a surge in stock futures, boosting tech and AI stocks across the market.(Representing AI image) |
Stock Futures Surge as Nvidia’s Blockbuster Forecast Reignites the AI Trade (2025 Analysis)
- Dr.Sanjaykumar pawar
Table of Contents
- Introduction
- What Triggered the Rally? Nvidia’s Blockbuster Earnings
- Why Nvidia’s Forecast Matters for the AI Trade
- Market Reaction: Futures Jump Across the Board
- The Broader AI Ecosystem: Winners Beyond Nvidia
- Hyper-Scalers, Chip Depreciation & Michael Burry’s Warning
- Federal Reserve Dynamics: Diverging Views Shape Investor Sentiment
- What Thursday’s Delayed Jobs Report Means for Markets
- Implications for Investors: Opportunities & Risks
- Visual Summaries
- Conclusion
- FAQs
- Disclaimer
- Sources
1. Introduction
The U.S. stock market opened Wednesday night with a surge of optimism as stock futures climbed sharply, fueled by Nvidia’s (NVDA) impressive quarterly earnings and an ambitious forward sales forecast. In a year where investors have grappled with uncertainty surrounding AI valuations, shifting Federal Reserve policies, and the challenges of debt-fueled growth in the tech sector, Nvidia’s report provided a welcome boost to market confidence.
At the heart of the rally was Nvidia’s forward guidance. CEO Jensen Huang emphasized that demand for the company’s next-generation Blackwell chips is “off the charts.” This statement alone reignited enthusiasm for the AI trade, which had cooled in recent weeks as fears of overvalued tech stocks and potential market corrections weighed on investor sentiment. For many, Nvidia’s performance is not just a corporate success—it’s a bellwether for the entire AI-driven technology ecosystem.
However, this rally isn’t happening in isolation. Multiple broader economic forces are influencing market movements, and they merit careful attention. Among these are divergent views among Federal Reserve officials, which affect expectations for future interest rates; a delayed U.S. jobs report, which could reshape economic forecasts; and growing investor skepticism about chip depreciation and the realistic lifespan of high-value tech assets. In addition, the broader AI supply chain, from chipmakers to cloud providers, plays a critical role in determining how far and how fast this rally can extend.
This complex mix of corporate performance, macroeconomic conditions, and investor psychology underscores the importance of analyzing Nvidia’s results in context. By combining data from credible sources—including the U.S. Bureau of Labor Statistics, the Federal Reserve, and leading market research organizations—we can better understand not just the immediate market reaction, but the long-term implications for investors and the AI sector.
In short, Nvidia’s blockbuster earnings are more than just numbers on a balance sheet. They reflect the ongoing AI revolution, shape investor sentiment across technology markets, and highlight the intersection of innovation, economic policy, and market psychology. This article will unpack these dynamics, providing clear insights into why Nvidia’s performance matters—and what it could mean for the future of AI investment.
2. What Triggered the Rally? Nvidia’s Blockbuster Earnings
Nvidia’s after-hours stock activity on Wednesday night grabbed headlines, with shares surging nearly 5% following the release of its latest earnings report. Investors responded enthusiastically to a set of numbers that didn’t just beat expectations—they reaffirmed Nvidia’s position as a central player in the AI hardware revolution.
Strong Revenue and Earnings Beat Expectations
The company reported $57.01 billion in revenue, comfortably exceeding Wall Street’s estimate of $54.92 billion. Meanwhile, earnings per share (EPS) came in at $1.30, slightly higher than the anticipated $1.25. Perhaps most strikingly, Nvidia projected Q4 revenue of around $65 billion, well above analysts’ forecasts of $61.66 billion.
These results underscore Nvidia’s continued dominance in supplying AI chips that power global data centers, cloud computing platforms, and next-generation artificial intelligence applications. By consistently outperforming expectations, the company not only boosts investor confidence in its own stock but also strengthens sentiment across the broader technology sector, especially within AI-driven markets.
Why This Report Mattered More Than Most
Before the earnings release, investors were navigating a landscape filled with uncertainty:
- Stretched AI valuations: Many tech stocks had seen rapid appreciation, leaving the market cautious.
- Overbuilding concerns: Analysts worried that data centers might expand too quickly, creating excess supply.
- Chip obsolescence fears: Rapid technological advancements raised questions about the lifespan and future profitability of existing hardware.
- Slowing demand projections for 2026: Some experts predicted that AI investment growth could taper off next year.
Nvidia’s stellar earnings report and bullish forward guidance effectively addressed many of these concerns. By signaling strong demand for its next-generation Blackwell chips, the company reassured investors that AI growth remains robust and that the sector is far from peaking.
Market Impact: Confidence Restored
The immediate effect was a sharp lift in stock futures and tech indices, reflecting renewed enthusiasm among investors. Nvidia’s results acted as a catalyst, reigniting interest in AI-related investments across chipmakers, cloud providers, and tech infrastructure companies.
In short, Nvidia’s blockbuster earnings weren’t just a one-off financial success—they were a market-moving signal, temporarily easing fears about valuation pressures and future growth in the AI sector. For investors, the report highlighted that AI hardware demand remains strong, resilient, and central to the next wave of technological innovation.
3. Why Nvidia’s Forecast Matters for the AI Trade
Artificial Intelligence (AI) has quickly become one of the most transformative forces in global technology. But it is not a single-company story. The AI ecosystem is complex, comprising multiple layers—from chipmakers and cloud providers to software developers and cybersecurity companies. In this ecosystem, Nvidia (NVDA) occupies a central position, serving as the engine that powers much of the AI infrastructure.
The AI Ecosystem: More Than Just Nvidia
While Nvidia often grabs headlines, the AI trade involves a network of companies working together:
- Chipmakers like Nvidia, AMD, and Intel supply the high-performance processors needed to train large AI models.
- Power infrastructure companies such as Eaton and Schneider Electric provide the energy and cooling solutions required to run AI data centers efficiently.
- Cloud hyperscalers like Amazon, Google, and Microsoft offer the massive compute platforms where AI models operate at scale.
- Security layers, including companies like Palo Alto Networks, ensure that AI systems and data remain secure against evolving cyber threats.
- Software and LLM platforms enable AI applications ranging from natural language processing to autonomous systems.
Nvidia sits at the core of this AI ecosystem. Its chips are the backbone of the computing power required to train and deploy AI models. When Nvidia signals strong demand for its products, it sends ripples across the entire supply chain, boosting investor confidence in related sectors.
Blackwell Demand “Off the Charts”
CEO Jensen Huang recently highlighted that demand for Nvidia’s next-generation Blackwell GPUs is exceeding internal expectations. These chips are not just incremental upgrades—they are designed to handle some of the most computationally intensive AI workloads in existence.
Blackwell GPUs are powering:
- Large Language Model (LLM) training, which fuels applications like chatbots, AI writing assistants, and translation tools.
- Edge-to-cloud AI applications, enabling smart devices, IoT systems, and real-time analytics.
- Real-time inference systems, which allow AI models to process data instantly for practical decision-making.
- Robotics, autonomous vehicles, and industrial AI, which require immense computational power to function safely and efficiently.
This level of demand signals a healthy, expanding AI market. It demonstrates that organizations are continuing to invest aggressively in AI infrastructure, rather than pausing due to valuation concerns or economic uncertainty.
Why the Forecast Shapes Market Sentiment
Nvidia’s forward-looking guidance is more than a corporate statement—it is a market signal. By forecasting strong sales of Blackwell chips, Nvidia is effectively confirming:
- AI growth is far from slowing: Companies are still heavily investing in AI technologies across industries.
- Spending remains aggressive: Enterprises are committing resources to upgrade their compute capacity to stay competitive.
- The AI race is ongoing: Organizations are racing to build AI capabilities before competitors do, reinforcing long-term demand for chips and associated infrastructure.
Investors and analysts interpret Nvidia’s guidance as a barometer of the entire AI trade. When Nvidia’s outlook is strong, chipmakers, data center operators, cloud providers, and even software companies tied to AI projects often see a corresponding lift in their stock performance.
Ripple Effects Across the Ecosystem
Following Nvidia’s recent forecast, the market witnessed an immediate boost in investor sentiment, not just for Nvidia, but for other companies in the AI supply chain. Shares of AMD, Broadcom, and Eaton rose as analysts projected higher demand for AI infrastructure. This demonstrates that Nvidia’s results act as a catalyst for the broader AI market, influencing decisions from enterprise adoption to institutional investment strategies.
In summary, Nvidia’s forecast matters because it confirms the health and growth trajectory of the AI ecosystem. When the company signals strong demand for its Blackwell GPUs, it’s not just a win for shareholders—it’s a sign that AI investment, innovation, and adoption continue to accelerate globally, reinforcing confidence across the technology sector.
4. Market Reaction: Futures Jump Across the Board
Nvidia’s blockbuster earnings didn’t just boost its own stock—they sparked a broader rally in U.S. stock futures. Following the release of the report, Dow futures rose by 222 points, marking a 0.5% increase, while S&P 500 futures climbed 1.1%, and Nasdaq 100 futures surged 1.6%. These movements highlight the strong influence of tech stocks on major indices, particularly the Nasdaq, which is heavily weighted toward technology and AI-related companies.
The immediate market reaction underscores how significant corporate earnings—especially from a market leader like Nvidia—can ripple through the financial ecosystem, influencing not just single stocks, but entire sectors and indices.
What Makes Futures Reaction Important?
Stock futures are more than just a preview of the next day’s trading—they are a barometer of institutional investor sentiment. Hedge funds, asset managers, and pension funds use futures to adjust positions in real time, responding to earnings announcements, economic data, and geopolitical developments.
When futures move by 1–1.6% on the back of earnings alone, it signals an unusually strong market reaction. Several factors contributed to this spike following Nvidia’s report:
- Strong AI risk appetite: Investors are willing to allocate capital aggressively to AI-related companies, anticipating continued growth.
- Short-covering activity: Traders holding short positions may rush to cover, driving prices higher and amplifying the upward movement.
- Algorithmic trading flips: Automated trading systems often react instantly to news and earnings beats, magnifying market momentum.
The futures reaction also provides insights into broader investor confidence. A surge in futures suggests that market participants view Nvidia’s earnings as a positive indicator for the tech sector as a whole, particularly for AI-driven companies. This confidence can fuel additional buying pressure, leading to rallies across related stocks and indices.
Implications for Traders and Investors
For individual investors and traders, understanding futures movements is crucial. They reflect sentiment before the market opens, offering a glimpse into potential trading opportunities or risks. In the case of Nvidia, the sharp jump in futures indicates that investors are optimistic about AI’s near-term growth, and that tech stocks may continue to see upward momentum.
Nvidia’s earnings report triggered a widespread, technology-driven market response, reflected in futures across the Dow, S&P 500, and Nasdaq. The strong reaction highlights not only Nvidia’s influence but also the growing significance of AI as a market-moving force in the U.S. stock landscape.
5. The Broader AI Ecosystem: Winners Beyond Nvidia
Nvidia’s blockbuster earnings and bullish guidance didn’t just lift its own stock—they sparked a ripple effect across the entire AI ecosystem. As investors digested the report, multiple companies closely tied to AI hardware, infrastructure, and services saw significant market reactions. Understanding these winners provides insight into the broader economic impact of the AI revolution and how interconnected the sector truly is.
Chipmakers Ride the AI Wave
Among the immediate beneficiaries were other chipmakers, particularly AMD (Advanced Micro Devices) and Broadcom (AVGO). While Nvidia dominates the market for high-performance AI GPUs, the demand for AI computing power is far outpacing supply, creating opportunities for competitors to fill gaps.
For example, when Nvidia’s order books are fully booked, organizations often turn to AMD’s MI300 accelerators or Broadcom’s custom silicon solutions to meet urgent AI workload demands. This dynamic illustrates how success in one corner of the ecosystem can lift the entire chip sector. Analysts note that as AI adoption accelerates globally, even secondary players benefit indirectly from Nvidia’s momentum, reinforcing the importance of diversification in tech portfolios.
Power Infrastructure Becomes Critical
AI hardware may be revolutionary, but it is power-hungry. Companies like Eaton (ETN) experienced gains following Nvidia’s report because the AI boom is not just about semiconductors—it’s about supporting infrastructure.
Data centers running thousands of AI GPUs require:
- High-voltage power delivery systems to sustain operations.
- Thermal and cooling solutions to manage heat generated by intensive computation.
- Scalable expansion capabilities as organizations build larger AI compute clusters.
Eaton’s rise in after-hours trading reflects investor recognition that AI hardware demand drives parallel growth in energy and infrastructure companies. Without these systems, even the most powerful chips cannot function efficiently. This highlights a key takeaway: AI investment is multi-layered, creating opportunities beyond the obvious hardware companies.
Cybersecurity Faces Mixed Reactions
Not all related sectors saw gains. Palo Alto Networks (PANW), a leading cybersecurity provider, fell roughly 4% in after-hours trading, despite beating consensus estimates. Its forward revenue guidance, however, fell slightly short of analyst expectations, dampening investor enthusiasm.
This contrast reinforces a broader market trend: investors currently favor hyper-growth AI names over more stable but slower-growing tech sectors. While cybersecurity remains critical—especially as AI adoption increases—market sentiment is skewed toward companies with direct exposure to AI chip demand and next-generation infrastructure.
The Ripple Effect Across the AI Supply Chain
Nvidia’s performance illustrates the interconnectedness of the AI market. When a major player signals strong demand, it boosts investor confidence across multiple layers of the ecosystem. This includes:
- Hardware suppliers meeting unmet AI demand.
- Infrastructure companies enabling AI deployment at scale.
- Software and cloud providers anticipating increased adoption of AI solutions.
The broader lesson for investors is clear: AI success is not confined to one stock. By understanding the ecosystem effects, traders and portfolio managers can identify opportunities in secondary players that benefit from Nvidia’s growth, whether in chips, infrastructure, or enabling technologies.
Nvidia’s rally is a catalyst for the broader AI market, with benefits extending far beyond the company itself. Chipmakers like AMD and Broadcom, infrastructure providers like Eaton, and even cloud and software companies experience spillover effects from Nvidia’s dominance. At the same time, sectors like cybersecurity, while essential, may lag in short-term market enthusiasm, reflecting investor preference for direct AI growth exposure. This interconnected market dynamic underscores why Nvidia’s earnings are a bellwether for the entire AI ecosystem, not just a single stock performance story.
6. Hyper-Scalers, Chip Depreciation & Michael Burry’s Warning
As the AI boom continues to capture headlines, one critical risk has quietly attracted attention: chip depreciation and its impact on financial reporting. While companies like Nvidia are posting record revenues, investors are increasingly aware of potential pitfalls in how large AI hyperscalers account for the aging of their expensive hardware.
What Burry Is Claiming
Michael Burry, the investor famously known for The Big Short, recently raised concerns about accounting practices within AI-driven data centers. His main argument revolves around the depreciation of AI chips, specifically:
- AI hyperscalers may be understating depreciation expenses, making earnings appear stronger than they actually are.
- They assume chips will have a longer useful life than is economically realistic, ignoring the pace at which technology becomes obsolete.
- This accounting treatment can artificially inflate reported profits, misleading investors about the true economic value generated by these assets.
In practical terms, the “useful life” assigned to GPUs and other high-performance AI hardware directly affects income statements. Longer depreciation schedules reduce the expense recognized each year, boosting reported earnings and cash flows on paper—even if the chips’ real-world value and performance decline faster.
Why This Matters
The implications of overstated depreciation assumptions are significant. If AI data centers depreciate GPUs over 5–6 years while the chips lose most of their profitability after 3–4 years due to rapid obsolescence, the following issues can arise:
- Overstated earnings per share (EPS): Companies may appear more profitable than they are.
- Misleading cash flow assumptions: Investors might overestimate the financial flexibility of AI providers.
- Valuation inflation: Stocks could trade at higher multiples, disconnected from actual economic performance.
For financial analysts and investors, this is a red flag. It introduces uncertainty into AI valuation models, making it harder to assess whether current stock prices are justified by underlying economic activity.
Why Nvidia’s Forecast Stands Out
Despite Burry’s warnings, Nvidia’s earnings report remained a powerful market catalyst. Unlike some hyperscalers whose profits rely heavily on depreciation assumptions, Nvidia’s results are driven primarily by sales revenue. Its blockbuster Q3 earnings—$57.01 billion in revenue and a $65 billion Q4 forecast—are tangible, not dependent on accounting adjustments.
CEO Jensen Huang’s comments that Blackwell chip demand is “off the charts” further reinforced investor confidence. Even with potential risks around depreciation at other companies, the market recognized that Nvidia’s growth is rooted in real hardware sales and robust enterprise demand, making its bullish forecast far more credible in the near term.
The Broader Implication for Investors
Burry’s critique serves as a reminder that not all AI growth is created equal. Investors should differentiate between companies relying on aggressive accounting assumptions and those with real, sustained revenue drivers. While hyperscalers may face future corrections if chip obsolescence outpaces depreciation schedules, Nvidia appears insulated, at least in the short term.
This dynamic also underscores a broader truth: the AI ecosystem is not just about hype—it is about tangible infrastructure, demand, and execution. Companies like Nvidia, which capture direct market sales, are better positioned to withstand skepticism and accounting debates, maintaining their role as a market bellwether for the AI trade.
while Michael Burry’s warning highlights a real risk in the AI sector—potentially overstated earnings due to chip depreciation—Nvidia’s actual sales-driven growth, coupled with unprecedented demand for its Blackwell GPUs, has temporarily overpowered these concerns, reassuring investors and keeping AI momentum alive.
7. Federal Reserve Dynamics: Diverging Views Shape Investor Sentiment
Investors have been closely watching Federal Reserve policy signals, as interest rate decisions continue to play a major role in market dynamics. The minutes from the Fed’s October meeting revealed a growing divide among officials, adding another layer of uncertainty just as Nvidia’s earnings were lifting tech stocks.
Fed Officials Are Divided
The Federal Reserve’s internal discussions highlighted two competing concerns:
- Some officials believe a slowing labor market poses the greatest risk to economic growth. They worry that declining employment trends could dampen consumer spending and overall economic momentum.
- Others argue that inflation remains stubbornly high, emphasizing that premature rate cuts could reignite price pressures and undermine recent progress in stabilizing the economy.
This divergence complicates market expectations. When Fed officials are split on the primary risks, it becomes much harder for investors to anticipate future interest rate moves, creating uncertainty for interest-sensitive sectors like technology.
Current Market Expectations
Market participants often look to tools like the CME FedWatch Tool to gauge expectations for future rate changes. As of the most recent data:
- There is only a 33% probability of a rate cut in December, significantly lower than estimates from just a month ago.
Higher interest rates generally put pressure on tech valuations, particularly for high-growth companies like Nvidia, where future earnings are discounted more heavily. Rising rates increase the cost of capital, which can temper investor enthusiasm for companies whose value is based largely on projected growth rather than current profits.
Nvidia’s Role in Neutralizing Rate Concerns
Despite this macroeconomic backdrop, Nvidia’s stellar earnings and bullish guidance provided a temporary reprieve for tech investors. By delivering both record revenue and strong forward guidance for its Blackwell chips, Nvidia reassured the market that AI-driven growth remains robust, even in an environment where interest rates may stay elevated.
In effect, Nvidia’s results offset some of the pressure from rate uncertainty, boosting stock futures and signaling that strong fundamentals in the AI sector can counteract short-term macroeconomic headwinds.
The Fed’s diverging views highlight the complex interplay between monetary policy and market sentiment. While rate uncertainty could weigh on tech valuations, Nvidia’s performance demonstrates how exceptional corporate results can temporarily buffer markets against broader economic concerns, keeping investor confidence in AI growth intact.
8. What Thursday’s Delayed Jobs Report Means for Markets
Investors are turning their attention to the U.S. Bureau of Labor Statistics’ September nonfarm payroll report, which was delayed due to the recent government shutdown. This data is a crucial economic indicator, offering insights into employment trends, wage growth, and overall economic health. Given the current market backdrop—with tech stocks rallying on Nvidia’s AI-driven growth—the report could influence investor sentiment across multiple sectors.
Why Investors Care
Nonfarm payrolls are a bellwether for the U.S. economy, and markets pay close attention for several reasons:
- Federal Reserve rate decisions: Employment trends help the Fed gauge whether the economy can handle interest rate cuts or hikes. A slowdown in job growth could encourage easing, while strong hiring may justify maintaining higher rates.
- Consumer spending expectations: Employment directly affects income and confidence, which drive retail and service sector activity. Strong payrolls suggest robust consumer spending, while weak numbers may signal caution.
- Economic recession forecasting: Persistent declines in employment can indicate broader economic weakness, potentially triggering a market pullback.
For investors, understanding the jobs report is key to anticipating macroeconomic policy shifts that could impact everything from tech valuations to broader equity markets.
Potential Market Scenarios
The report could sway the market in several ways:
- Slower employment growth: If the payrolls data shows weaker-than-expected hiring, the Fed may feel pressure to ease monetary policy sooner. Lower rates would likely benefit high-growth tech and AI stocks, as cheaper borrowing costs support corporate investment in innovation and infrastructure.
- Stronger employment growth: Conversely, if hiring proves resilient, the Fed may delay rate cuts or maintain current rates, keeping borrowing costs elevated. This could temper enthusiasm for AI-driven growth stocks, as higher rates reduce the present value of future earnings.
Essentially, the nonfarm payroll report will help clarify whether the macro backdrop supports continued tech rallies or introduces caution. Investors are watching closely, especially after Nvidia’s earnings highlighted strong AI demand.
While Nvidia’s performance has reignited the AI trade, the upcoming jobs report introduces a potentially decisive economic signal. Market participants will interpret the data not only for employment trends but also for monetary policy implications, which could either reinforce or challenge the recent tech rally. In short, the report is a reminder that even the most exciting corporate earnings exist within the broader context of economic fundamentals and Fed policy.
9. Implications for Investors: Opportunities & Risks
Opportunities
- AI infrastructure demand remains explosive
- Nvidia continues to dominate with no near-term slowdown
- Chipmakers, power companies, cloud providers benefit
- Short-term bullish momentum likely continues
Risks
- Valuations remain extremely high
- Chip depreciation & asset value concerns persist
- Fed uncertainty could trigger volatility
- Earnings expectations may peak in 2026
Analyst Takeaway
Nvidia’s report reaffirms that AI is still in a growth phase—not a bubble popping. However, investors should remain aware of structural risks, especially around depreciation and macroeconomic uncertainty.
10. Visual Summaries to clearify -
Visual #1:
Line Chart: Nvidia Stock Price Reaction (Regular vs. After-Hours)
- Shows market response to earnings beat
Visual #2:
Bar Chart: Nvidia Revenue vs. Wall Street Expectations
- $57.01B actual
- $54.92B expected
Visual #3:
Diagram: AI Ecosystem Beneficiaries
- Chipmakers
- Power infrastructure
- Cloud providers
- Cybersecurity
Visual #4:
Table: Fed Policy Divergence Summary
- Officials concerned about inflation
- Officials concerned about job slowdown
11. Conclusion
Nvidia’s powerful earnings and upbeat forward guidance have breathed new life into the AI trade. The ripple effect through futures markets, AI infrastructure companies, and semiconductor peers reflects Nvidia’s central role in global technological advancement.
Yet this rally exists against a complex backdrop:
- A divided Federal Reserve
- Investor scrutiny over chip depreciation
- A critical jobs report
- Persistent concerns around valuations
The next few weeks—particularly the jobs report and December Fed decision—will determine whether the AI rally keeps running or encounters turbulence.
For now, Nvidia has given Wall Street what it needed: confidence, clarity, and momentum.
12. FAQs
Q1: Why did Nvidia’s earnings have such a big impact on futures?
Because the company sits at the heart of the AI hardware ecosystem, its results influence expectations for dozens of related industries.
Q2: What does “chip depreciation” mean?
It refers to how long companies expect GPUs to maintain value. If estimated too optimistically, earnings may be overstated.
Q3: How will the Fed’s December meeting affect markets?
A rate cut could boost tech valuations further; a pause could pressure them.
Q4: Is the AI boom sustainable?
Short-term: Yes, based on hardware demand.
Long-term: Sustainability depends on enterprise AI adoption and economic conditions.
Q5: Which sectors benefit most from Nvidia’s strength?
Semiconductors, power infrastructure, cloud providers, and AI software companies.
13. Disclaimer
This article is for informational and educational purposes only. It does not constitute financial, investment, or trading advice. Always consult a licensed financial professional before making investment decisions.
14. Sources
-
CNBC – Nvidia Earnings Report
https://www.cnbc.com/2025/11/19/nvidia-nvda-earnings-report-q3-2026.html -
Federal Reserve – October Meeting Minutes
https://www.federalreserve.gov -
U.S. Bureau of Labor Statistics – Nonfarm Payroll Reports
https://www.bls.gov -
CME Group – FedWatch Tool
https://www.cmegroup.com/markets/interest-rates/cme-fedwatch-tool.html -
CNBC – Market Futures & Reactions
https://www.cnbc.com
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