timothy sykes logo
NVDA Stock Rides Massive AI Spending And Bold Growth Bets Thumbnail
G Google News

NVDA Stock Rides Massive AI Spending And Bold Growth Bets

TIM SYKES•UPDATED SEP. 28, 2026, 9:19 AM ET
Reviewed by Jack Kelloggand Fact-checked by Ellis Hobbs

NVIDIA Corporation stocks have been trading up by 2.06 percent after upbeat AI chip demand headlines lifted investor optimism.

Key Takeaways

  • CEO Jensen Huang says Nvidia expects to sell twice as many chips next year and is targeting ~70% revenue growth through 2028, guiding to about $673B in annual sales.
  • OpenAI aims to spend roughly $856B on compute and infrastructure through 2030, with NVDA a core supplier, pointing to long-term AI chip demand.
  • Big Tech, including Nvidia, is backing up to $300B of AI data center and chip debt with guarantees, accelerating the AI build-out.
  • NVIDIA reported $96.2B in quarterly revenue, with data center revenue up 117%, cementing NVDA as the dominant AI compute provider.
  • Nvidia is leaning into ecosystems—$2B for a Brookfield AI fund, deeper Cisco and Pinterest deals, and leadership in a new AI Energy Management Alliance.

Candlestick Chart

Live Update At 09:18:48 EDT: On Monday, September 28, 2026 NVIDIA Corporation stock [NASDAQ: NVDA] is trending up by 2.06%! Discover the key drivers behind this movement as well as our expert analysis in the detailed breakdown below.

Quick Financial Overview

NVDA’s chart looks like a tight coil rather than a blow-off top. Over the past couple of weeks, the stock has chopped between roughly $211 and $235, with recent closes clustering around $222–$228. That sideways action after a big run tells traders the market is pausing, not abandoning the AI leader.

On the latest day shown, NVDA closed near $225 after testing both sides of the range. Intraday, the 5‑minute candles show a grind higher from the low $223s into the high $229s in premarket and early trade. That kind of steady bid, without wild spikes, often signals accumulation rather than pure momentum chasing.

Under the hood, the numbers are huge. NVIDIA posted $96.2B in quarterly revenue, with total trailing revenue around $215.9B. Profitability is elite: gross margin near 74.7% and EBIT margin around 68%. Return on equity above 100% and a PE near 28.5 say it clearly—NVDA is priced for growth, but it is also delivering monster earnings.

More Breaking News

Debt looks manageable with a current ratio of 4.6 and low leverage. For active trading, this backdrop means dips in NVDA tend to attract buyers, and breakouts can be violent when new AI headlines hit.

Why Traders Are Watching NVDA’s AI Supercycle

NVDA is not just riding the AI wave; it is helping finance and architect the entire ocean. The latest headlines show Nvidia using guarantees to back debt that supports OpenAI-related AI infrastructure, part of as much as $300B in Big Tech commitments to data centers and chips. That is rare. A chip maker is effectively underwriting its customers’ build-out to lock in future demand.

At the same time, OpenAI plans to spend roughly $856B on computing power and infrastructure through 2030, with contracts tied to NVDA hardware. For traders, that looks like a multi-year order book forming in real time. It explains why NVIDIA’s data center revenue just grew 117% and why quarterly sales now sit at $96.2B.

Management is leaning hard into this supercycle. CEO Jensen Huang guided that NVDA expects to sell twice as many chips next year and sees around 70% revenue growth through fiscal 2028 to roughly $673B. Few mega-caps dare to talk that big. NVDA does, because demand from hyperscalers, enterprises, and frontier labs is lining up.

Nvidia is also planting deep ecosystem roots. A $2B commitment to a Brookfield-managed AI fund aims to pull forward infrastructure that will likely be built on NVDA platforms. Partnerships with Cisco for Splunk AI in on‑prem and air‑gapped environments and with Pinterest standardizing on Blackwell GPUs show how far beyond cloud giants the story runs. Add the AI Energy Management Alliance with Google and Emerald AI, which tackles grid constraints for data centers, and you see the same pattern—NVDA trying to clear every bottleneck that might slow AI deployment.

For short‑term trading, all of this means NVDA is a headline-driven name with real fundamental fuel behind each spike.

Conclusion

From a trader’s perspective, NVDA sits at the center of one of the biggest capex booms markets have ever seen. NVIDIA is the dominant AI compute provider today, but it is also pushing into tomorrow with Blackwell GPUs, Vera Rubin NVL72 systems, and even quantum efforts like CUDA‑Q Logical. Those moves, plus aggressive financing structures and alliances, aim to keep Nvidia’s moat wide while others scramble to catch up.

The numbers back up the narrative. Roughly $215.9B in revenue, sky‑high margins, and returns on capital north of 90% show that NVDA is not a story stock—it is printing cash. Big customers such as OpenAI are planning multi‑hundred‑billion‑dollar AI build‑outs tied directly to Nvidia’s chips and systems. That kind of visibility is why the market continues to assign NVDA a premium multiple even after a huge run.

For traders, the key is discipline. NVDA is liquid, volatile, and extremely news sensitive—perfect for day and swing trading, but dangerous if you marry the stock. As Tim Sykes loves to remind his students, “The market doesn’t owe you anything—respect risk, cut losses fast, and let the best setups come to you.” As millionaire penny stock trader and teacher Tim Sykes says, “Embrace the journey, the ups and downs; each mistake is a lesson to improve your strategy.” Applied to NVDA, that means stalking clean breakouts and sharp panic dips, always with a clear plan, while using the AI supercycle as the macro tailwind rather than an excuse to ignore your stops.

This article is for educational and research purposes only and is not investment advice.

This is stock news, not investment advice. Timothy Sykes News delivers real-time stock market news focused on key catalysts driving short-term price movements. Our content is tailored for active traders and investors seeking to capitalize on rapid price fluctuations, particularly in volatile sectors like penny stocks. Readers come to us for detailed coverage on earnings reports, mergers, FDA approvals, new contracts, and unusual trading volumes that can trigger significant short-term price action. Some users utilize our news to explain sudden stock movements, while others rely on it for diligent research into potential investment opportunities.

Dive deeper into the world of trading with Timothy Sykes, renowned for his expertise in penny stocks. Explore his top picks and discover the strategies that have propelled him to success with these articles:

Once you’ve got some stocks on watch, elevate your trading game with StocksToTrade the ultimate platform for traders. With specialized tools for swing and day trading, StocksToTrade will guide you through the market’s twists and turns.
Dig into StocksToTrade’s watchlists here:

How much has this post helped you?

(0 votes, average: 0 out of 5)
Leave a reply

* Results are not typical and will vary from person to person. Making money trading stocks takes time, dedication, and hard work. There are inherent risks involved with investing in the stock market, including the loss of your investment. Past performance in the market is not indicative of future results. Any investment is at your own risk. See Terms of Service here

The available research on day trading suggests that most active traders lose money. Fees and overtrading are major contributors to these losses.

A 2000 study called “Trading is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors” evaluated 66,465 U.S. households that held stocks from 1991 to 1996. The households that traded most averaged an 11.4% annual return during a period where the overall market gained 17.9%. These lower returns were attributed to overconfidence.

A 2014 paper (revised 2019) titled “Learning Fast or Slow?” analyzed the complete transaction history of the Taiwan Stock Exchange between 1992 and 2006. It looked at the ongoing performance of day traders in this sample, and found that 97% of day traders can expect to lose money from trading, and more than 90% of all day trading volume can be traced to investors who predictably lose money. Additionally, it tied the behavior of gamblers and drivers who get more speeding tickets to overtrading, and cited studies showing that legalized gambling has an inverse effect on trading volume.

A 2019 research study (revised 2020) called “Day Trading for a Living?” observed 19,646 Brazilian futures contract traders who started day trading from 2013 to 2015, and recorded two years of their trading activity. The study authors found that 97% of traders with more than 300 days actively trading lost money, and only 1.1% earned more than the Brazilian minimum wage ($16 USD per day). They hypothesized that the greater returns shown in previous studies did not differentiate between frequent day traders and those who traded rarely, and that more frequent trading activity decreases the chance of profitability.

These studies show the wide variance of the available data on day trading profitability. One thing that seems clear from the research is that most day traders lose money .

Millionaire Media 66 W Flagler St. Ste. 900 Miami, FL 33130 United States (888) 878-3621 This is for information purposes only as Millionaire Media LLC nor Timothy Sykes is registered as a securities broker-dealer or an investment adviser. No information herein is intended as securities brokerage, investment, tax, accounting or legal advice, as an offer or solicitation of an offer to sell or buy, or as an endorsement, recommendation or sponsorship of any company, security or fund. Millionaire Media LLC and Timothy Sykes cannot and does not assess, verify or guarantee the adequacy, accuracy or completeness of any information, the suitability or profitability of any particular investment, or the potential value of any investment or informational source. The reader bears responsibility for his/her own investment research and decisions, should seek the advice of a qualified securities professional before making any investment, and investigate and fully understand any and all risks before investing. Millionaire Media LLC and Timothy Sykes in no way warrants the solvency, financial condition, or investment advisability of any of the securities mentioned in communications or websites. In addition, Millionaire Media LLC and Timothy Sykes accepts no liability whatsoever for any direct or consequential loss arising from any use of this information. This information is not intended to be used as the sole basis of any investment decision, nor should it be construed as advice designed to meet the investment needs of any particular investor. Past performance is not necessarily indicative of future returns.

Citations for Disclaimer

Barber, Brad M. and Odean, Terrance, Trading is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors. Available at SSRN: “Day Trading for a Living?”

Barber, Brad M. and Lee, Yi-Tsung and Liu, Yu-Jane and Odean, Terrance and Zhang, Ke, Learning Fast or Slow? (May 28, 2019). Forthcoming: Review of Asset Pricing Studies, Available at SSRN: “https://ssrn.com/abstract=2535636”

Chague, Fernando and De-Losso, Rodrigo and Giovannetti, Bruno, Day Trading for a Living? (June 11, 2020). Available at SSRN: “https://ssrn.com/abstract=3423101”