timothy sykes logo

Trading Lessons

The Little-Known AI Stock Pushing New Highs

Timothy SykesAvatar
Written by Timothy Sykes
Updated 2/20/2026 4 min read

We’ve heard about them for months…

“AI bubble” fears.

And some of the biggest names in the industry look ready to burst.

But we don’t hear much about the amazing trading opportunities that come from this massive money shift…

Some of 2025’s strongest AI names are trading way off their highs this year. $2 trillion was wiped from the software sector in early February alone.

The losers are self-identifying.

I’ve seen this a thousand times. Stocks go parabolic, the promoters pound the table, and then the rotation starts.

And that’s the key: Rotation.

This money doesn’t disappear. It moves.

Last week, a small-cap stock exploded +400% over multiple days after it announced a partnership with one of the biggest names in operational AI.

And this stock is still in play…

My Top AI Watch This Week

Tim trading with Jack Kellogg
© Millionaire Media, LLC

When large-cap AI names bleed out, that money has to go somewhere.

Small-cap AI stocks are first in line. Traders who know where to look are already cashing in.

The #1 stock I’m watching right now is Rackspace Technology (NASDAQ: RXT).

On February 18, RXT announced a strategic partnership with Palantir Technologies Inc. (NASDAQ: PLTR) to deploy and operate Palantir’s AI platforms at enterprise scale.

PLTR is still trading 34% off its highs in 2026 … but RXT spiked 407% after the news came out.

It hit a high of $2.08 per share on Friday, February 20.

And when a stock spikes 400%, it doesn’t take a perfect trade to pull 20-30% gains.

That’s the plan…

  • Focus on cheap stocks that can spike +100%.
  • Use popular patterns to get in and out with quick gains.
  • Move on to the next runner.

How I Trade These Setups

I’ve used the same patterns for over two decades.

They’re the same patterns my millionaire students use to trade.

And they don’t change.

Human beings behave similarly when they’re stressed. Like when they have money in a penny stock spiking 400%.

As a result, these patterns will continue to exist in the market, in tandem with fear and greed, until the end of time. Or at least until humanity stops trading.

For example: RXT already followed a perfect breakout setup.

On the chart below from last week, every candle represents one trading minute:

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

These patterns rely on key areas of support and resistance that come from past price action on a stock chart.

That’s the point of identifying key price levels.

The high at $2.08 per share from February 20 is our new resistance and breakout level.

Then, watch where prices stabilize during consolidation: that’s your support.

The tighter the range, the more explosive the next move tends to be.

  • Know your levels.
  • Recognize the pattern.
  • Take your profits into strength.
  • And move on.

Don’t marry the move. I don’t care how good the story sounds or how loud the promoters get.

Price action is king.

When the move is done, you’re done.

The question isn’t whether there will be more small-cap AI spikes in 2026…

The question is how you’ll trade them.

Cheers

 

*Past performance does not indicate future results



How much has this post helped you?



Leave a reply

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.
Read More

* 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”