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Huge Market Opportunity: NVDA To Operate At Full Value

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Written by Timothy Sykes Reviewed by Jack Kellogg Fact-checked by Ellis Hobbs
Updated 5/15/2025 4 min read
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The early days of the trade war proved disastrous for the U.S. stock market.

And for NVIDIA Corporation (NASDAQ: NVDA), the implications were perhaps the most dangerous.

The company’s revolutionary microchips are highly coveted in a world that’s mesmerized by AI computing power.

A month ago, NVDA reported that Trump and China’s tariffs, at the time, would cost the company $5.5 billion.

But there’s a shift happening in the global economy …

  • Trump inked a $600 billion deal with Saudi Arabia that covered the sale of U.S. microchips, including NVDA’s.
  • Trump’s administration is also loosening microchip trade policy that dates back to Biden’s administration.
  • A trade truce between the U.S. and China is already in effect as the two countries work toward a permanent trade deal …

Here’s my point: Even before Trump, NVDA faced tariff costs.

Which means, at the stock’s highest market capitalization value of $3.7 trillion dollars on January 7 … It still wasn’t operating at its highest capable value.

And right now the stock is creeping toward all time highs as Trump inks new trade deals.

Look at the NVDA chart below. Every candle represents one trading day:

NVDA chart multi-month, 1-day candles Source: StocksToTrade
NVDA chart multi-month, 1-day candles Source: StocksToTrade

We’re on a fast track toward a new era of global trade.

And certain companies, like NVDA, are in a perfect position to capitalize.

Don’t miss the #1 trade setup in the market right now. Watch my video below for all the details:

My Trade Process Right Now

I use the same patterns to trade over-and-over again.

The patterns repeat in the market because people are predictable during times of high stress.

But you might be surprised to hear, I don’t plan on using these patterns to trade NVDA.

While it’s true, NVDA can follow my patterns, the share price is too high and the price only moves a few percentage points each day.

More Breaking News

Instead, I’m focused on low-priced stocks with relation to NVDA.

For example, when NVDA spiked the first time, in 2023 and 2024, we watched huge price spikes from stocks like SoundHound AI Inc. (NASDAQ: SOUN).

SOUN spiked:

  • 370%* to start 2023.
  • 490%* to start 2024.
  • 390%* to end 2024.

And more recently, we watched a handful of quantum computing stocks spike with AI momentum.

Since November 2024, D-Wave Quantum Inc. (NYSE: QBTS) spiked 1,100%*. And as of May 15, it’s trading near 52-week highs.

On the QBTS chart below, every candle represents one trading day:

QBTS chart multi-month, 1-day candles Source: StocksToTrade
QBTS chart multi-month, 1-day candles Source: StocksToTrade

While the whole market is focused on NVDA, my millionaire students and I trade low-priced runners like SOUN and QBTS.

These plays are better suited for small-account traders who are trying to find short term gains to grow their account.

The percent gain can be amazing, but they’re not investment positions.

The goal is to take these short-term profits and put them into longer-term investment vehicles.

Right now, for traders like you and me, the true NVDA opportunity comes from low priced stocks that spike with NVDA momentum.

>> This Is The #1 NVDA Trade I’m Watching Right Now <<

Cheers.

 

*Past performance does not indicate future results

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Timothy Sykes

Tim Sykes is a penny stock trader and teacher who became a self-made millionaire by the age of 22 by trading $12,415 of bar mitzvah money. After becoming disenchanted with the hedge fund world, he established the Tim Sykes Trading Challenge to teach aspiring traders how to follow his trading strategies. He’s been featured in a variety of media outlets including CNN, Larry King, Steve Harvey, Forbes, Men’s Journal, and more. He’s also an active philanthropist and environmental activist, a co-founder of Karmagawa, and has donated millions of dollars to charity.
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* 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”