timothy sykes logo
NVDA Stock Powers Higher As AI Data Center Boom Accelerates Thumbnail

NVDA Stock Powers Higher As AI Data Center Boom Accelerates

BRYCE TUOHEYUPDATED AUG. 27, 2026, 7:48 AM ET
Reviewed by Tim Sykesand Fact-checked by Matt Monaco

NVIDIA Corporation stocks have been trading up by 5.85 percent amid strong AI chip demand and bullish analyst upgrades

Key Takeaways Traders Need To Know

  • Q2 revenue jumped 106% year over year to $96.22B, with EPS more than doubling as data center demand for Nvidia’s Blackwell Ultra and Vera Rubin platforms drove a major earnings beat.
  • Data Center sales hit $89.0B, up 18% sequentially and 117% year over year, while Edge revenue climbed to $7.2B, up 13% quarter over quarter, confirming broad AI and edge momentum.
  • For Q3, management guided revenue to about $108B (±2%), above the $103.9B consensus, with roughly 74% gross margins and operating expenses of $9–9.2B, excluding China data center compute.
  • NVDA now targets roughly 70% revenue growth in FY28, saying supply, not demand, is the bottleneck as global AI infrastructure and hyperscaler capex ramp through 2027.
  • A deepened AWS partnership will deploy 2 million more Nvidia GPUs in 2027–2028 and support large U.S. government AI “factory” projects, extending Nvidia’s AI infrastructure footprint.

Candlestick Chart

Live Update At 07:47:54 EDT: On Thursday, August 27, 2026 NVIDIA Corporation stock [NASDAQ: NVDA] is trending up by 5.85%! Discover the key drivers behind this movement as well as our expert analysis in the detailed breakdown below.

Quick Financial Overview

NVDA just printed the kind of numbers that reshape a chart. Fiscal Q2 revenue surged to $96.22B, up 106% year over year, with non‑GAAP EPS more than doubling. That kind of growth at this scale is rare. It tells traders the core AI story at Nvidia is not slowing; it is still accelerating.

Data Center revenue of $89.0B did the heavy lifting, jumping 117% from a year ago. Edge computing added another $7.2B, up 27% year over year. Together they show NVDA selling AI compute everywhere: big cloud, enterprise, and at the edge.

On the balance sheet, Nvidia runs with low debt and strong liquidity. A current ratio of 3.4 and minimal leverage give NVDA room to keep spending on capacity and buybacks. Profitability metrics are off the charts: gross margin around the mid‑70s and return on equity above 70%, signaling powerful pricing power.

The chart action, though, looks more like a consolidation than a runaway breakout. Over the last several sessions, NVDA has chopped between roughly $208 and $225, fading from recent highs despite the beat‑and‑raise. Intraday, the 5‑minute tape around $222–$225 shows tight ranges and quick reversals. That tells short‑term traders the stock is in digestion mode: big numbers are out, and now the market is deciding what they are worth. For nimble traders, that often means reactive, level‑to‑level trading rather than blindly chasing strength.

Why Traders Are Locked In On NVDA Right Now

Nvidia just reminded the market why it is the center of the AI trade. The Q2 print was not a small beat; it was a blowout. NVDA’s revenue hit $96.22B, up 106% year over year, powered by data center sales that grew 117%. Those data center dollars are tied directly to Nvidia’s Blackwell Ultra GPUs and its Vera Rubin AI supercomputing platform, which are now moving from launch hype into full revenue mode.

Under the hood, the engine looks even stronger. Data Center revenue hit $89.0B, while Edge computing reached $7.2B. Both segments beat expectations. For traders, this says the demand for AI compute is not just coming from a few mega‑caps; it is spreading across workloads and geographies.

Guidance is where NVDA really flexed. Management called for Q3 revenue of about $108B (±2%), comfortably above the $103.9B consensus. Gross margin around 74% shows Nvidia is still getting paid top dollar for its chips, even while management absorbs higher memory and supply costs. Importantly, that guidance assumes zero data center compute revenue from China. So the implied strength in the rest of the world is massive.

The longer‑term message may be even more important for swing traders and position traders. On the earnings call, Nvidia pointed to roughly 70% revenue growth in FY28, saying the constraint is supply, not demand. NVDA also expects CPU revenue to more than double by FY28 as its Vera server CPU moves into major hyperscalers, neocloud players, AI labs, and OEMs, targeting about $20B of server CPU demand. That shifts the narrative from “GPU cycle” to “full AI compute stack,” giving the stock another potential growth leg.

Layer on top the AWS deal—2 million additional GPUs slated for 2027–2028, plus expanded use of Nvidia networking, CPUs, and robotics stacks—and you get multi‑year demand visibility that few chip names can match. For traders, this cocktail of current beats, raised guidance, and locked‑in future deployments is exactly what fuels high‑beta moves, even if the stock needs time to consolidate first.

Conclusion

For active traders, NVDA is now the textbook example of what a true market leader looks like in an AI super‑cycle. The company just put up $96.22B in quarterly revenue, guided the next quarter to about $108B, and is talking openly about 70% revenue growth in FY28. Data Center revenue of $89.0B and Edge sales of $7.2B back up that story with real, repeatable numbers.

At the same time, Nvidia is widening its moat. The planned deployment of 2 million more GPUs on AWS, plus exclusive AI infrastructure roles in mega‑projects like the OpenAI‑linked Ohio campus, gives NVDA a backlog‑like feel without actually publishing a backlog. CPU expansion with Vera, and new AI factories with governments and hyperscalers, add more lanes to the same highway of demand.

For traders, none of this removes risk. Expectations are sky‑high, the valuation is rich, and the daily chart shows a stock that is pausing after a big run. That is where discipline matters. As Tim Sykes loves to say, “The trend is your friend, but only if you respect your risk and cut losses fast.” As millionaire penny stock trader and teacher Tim Sykes says, “Consistency is key in trading; don’t let emotions dictate your trades.”. With NVDA, the trend in the business remains sharply higher. The job now is to trade the stock with the same precision Nvidia brings to its chips—plan the levels, respect the volatility, and let the numbers guide you.

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?



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”