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The Hidden Catalyst Behind The Next AI Wave

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Written by Timothy Sykes
Updated 12/4/2025 5 min read

Remember 2023 … ?

When ChatGPT went viral, tiny AI stocks exploded overnight, and NVDA started its meteoric 1,300%* run.

Traders turned small accounts into six figures seemingly out of nowhere … And everyone on the sideline kept saying, “I’ll catch the next one.”

Then came 2024.

More AI breakouts. More millionaires minted by AI momentum.

Maybe you missed those runs too, because by the time you tried to get in, it already felt too late. The hottest stocks looked overextended. Until they pushed even higher …

For the traders who missed out, it feels like the train left the station.

I’m here to tell you: There’s one last train.

This is your last chance.

Source

This last window of opportunity, it’s fueled by something we’ve never encountered before …

Behind closed doors, a recent Trump Executive Order started a countdown that’s set to detonate across the entire market. And the AI industry will feel it most acutely.

Money will flood in even faster than during the first AI surge.

We’re on the precipice of a $34 trillion Trump shock in AI, and there’s no going back once it hits.

Wall Street’s already moving into position. Hedge funds are rotating billions of dollars before the public has a chance to understand what’s happening.

One major Wall Street manager called this “a generational buying opportunity.”

And for everyday traders, especially those who missed the first AI wave, this could be your final chance to catch up.

The AI Express

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AI has defined every major market breakout over the last three years.

From the first ChatGPT mania in 2023, to continued volatility in 2024 …

And in 2025, the action didn’t slow down. It went parabolic.

Traders who understood the catalysts and technical analysis had multiple opportunities to make the biggest trades of their lives thus far.

Just ask my students.

This year alone, Strati, Omer, and Clay each crossed the $1 million milestone trading this AI momentum.

All three started with small accounts. None of them got lucky. They simply learned to recognize my patterns on the hottest stocks. The same patterns I’ve been using for decades.

They didn’t chase NVDA at all-time highs. Instead, they caught the underdogs, the small caps that move 100%, 500%, even 1,000% in a single week when AI catalysts hit.

Here’s what 2025 looked like for traders who were paying attention:

  • Richtech Robotics Inc. (NASDAQ: RR) exploded 270%* after landing a deal with a major retailer.
  • Applied Digital Corp. (NASDAQ: APLD) ripped 290%* on massive GPU leasing contracts.
  • Rigetti Computing Inc. (NASDAQ: RGTI) surged 350%* after reporting a quantum computing breakthrough.
  • GSI Technology Inc. (NASDAQ: GSIT) jumped 250%* overnight with its new chip that cut AI energy costs by 98%.

And that’s just a taste.

Every week, new names rise from obscurity as AI capital floods the market.

The momentum doesn’t rest. It evolves and moves to the next hottest parallel sector. For example:

  • Computing hardware.
  • Energy.
  • Rare earth.
  • Cloud computing.

But here’s the part most traders miss, the momentum always ends faster than it begins.

Which means, the next phase of this AI supercycle will be shorter, hotter, and far more volatile than anything we’ve seen before.

And if you’re not prepared, it’ll pass you just as quickly as 2023 did.

The Final Countdown

There’s one more piece to this story …

The catalyst that changes everything.

And Washington is about to light the fuse.

In true Trump fashion, this market shake-up will send shockwaves through the entire financial system, and AI is sitting directly on the fault line.

We were never supposed to get this kind of intervention. It wasn’t on the schedule, we had no idea it was coming.

But thankfully, we have a few days to prepare for it right now. When it hits, the result could rival the original ChatGPT boom from 2023.

That’s why I’m hosting a special emergency briefing on December 10th. To ensure everyone’s ready for the next AI surge.

Mark your calendar now.

During Wednesday’s briefing, I’ll explain exactly how this $34 trillion Trump shock could reshape the AI sector over the next few weeks.

Plus, why this could be your final, no-excuses chance to position yourself before this last wave of volatility erupts.

It’s not another Fed meeting or a quarterly update … This is a one-time catalyst. And once it triggers, it can’t be undone.

Don’t worry. You’re still early.

And this time around, you’ll have my exact trading playbook.

Don’t waste this absolute gimme of an opportunity.

When the dust settles, traders will look back on December 2025 as the moment everything changed.

Reserve your spot below for Wednesday’s emergency briefing!

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.
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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”