Huge AI Catalyst This Week: Wednesday 08/27

Written by Timothy Sykes Reviewed by Jack Kellogg Fact-checked by Ellis Hobbs

Updated 8/22/2025 4 min read

Huge AI Catalyst This Week: Wednesday 08/27 Thumbnail

In this article

GXAI-7.21%
GXAI - NASDAQGaxos.ai Inc.
$1.93-0.15 (-7.21%)
Volume: 69830
Float: 6.88M
$1.89Day Low/High$2.00
NVDA+0.13%
NVDA - NYSENVIDIA Corporation
$178.23+0.24 (+0.13%)
Volume: 1.63M
Float: 23.38B
$177.24Day Low/High$178.90

It’s back …

This is one of the largest market catalysts at play right now.

NVIDIA Corporation (NASDAQ: NVDA) reports earnings after the bell on Wednesday, August 27.

And smart traders are already circling this setup like a shark.

Let’s get one thing clear: This earnings report has the potential to move the entire market.

That includes the small-cap AI stocks that my students and I target for gains that can easily rival full-year hedge-fund returns.

For example, last week a tiny AI stock spiked 160%* after the company announced that it launched a new AI platform.

We just need to take the meat of the move from a spike like that.

NVDA’s earnings announcement on Wednesday is a catalyst that could send the entire AI sector into overdrive.

Wall Street expects a 53% revenue surge and 48% EPS jump.

For some context: Even at these insane growth projections, NVDA’s beaten Wall Street’s expectations 10 quarters in a row, often by wide margins.

And even better: It’s possible that recent pullbacks mean we’re headed into this with less speculative hype and more room to run.

Here’s the equation that I see …

NVDA’s dominance in AI-driven data center chips + Its positioning alongside massive cloud players like AMZN, MSFT, and GOOGL (all of whom ramped up AI spending at record levels) = A blowout report that could ignite a full-blown sympathy run across the entire sector.

Add in the fact that NVDA is still considered a “Strong Buy” by many analysts, and this is a textbook setup for bullish volatility in our small-cap market.

I’ll break down the recent NVDA/AI trades that follow my repeatable patterns …

And I’ll show you how to prepare for what could be the best catalyst of the year!

This is your moment — Don’t sleep on it.

NVDA Earnings Trade Setups

© 2025 Millionaire Media, LLC

It’s very important that you understand my thought process around this catalyst.

More Breaking News

My millionaire students and I … We don’t trade shares of NVDA.

Instead, we focus on cheap stocks that spike to insane heights alongside the larger AI momentum.

Here’s why:

NVDA can’t spike as high intraday because it’s such a large stock. Plus, the shares are more expensive, which makes it difficult to build large positions.

The 160%* AI spike last week came from Gaxos.ai Inc. (NASDAQ: GXAI). It ran for multiple days after the news was released on Tuesday, August 19.

And the price never spiked above $3 per share.

How many shares could you buy at a $3 price level?

Look at the GXAI spike on the chart below from last week. Every candle represents one trading minute:

GXAI chart multi-day, 1-minute candles Source: StocksToTrade

I have more examples of small-cap AI momentum in this report.

There are new +100% stock spikes every week in our small-cap sector

And with the NVDA earnings report already building momentum … I expect to see some crazy small-cap AI moves this week.

Make sure that you’re prepared!

Watch my video below for a detailed breakdown of the next AI trade opportunity:

Cheers

*Past performance does not indicate future results

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Author card Timothy Sykes picture

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.

* 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”

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