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The Hottest AI Setups In The Market

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Written by Timothy Sykes Reviewed by Jack Kellogg Fact-checked by Ellis Hobbs
Updated 9/23/2025 4 min read
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Hey! Tim Sykes here,

TikTok’s future in America just took a massive turn.

And there’s a corresponding opportunity in the stock market …

Ever since a law was passed in April 2024, TikTok’s availability in America has been uncertain.

The law requires a domestic owner for the app, or an all-out ban, in an effort to defend against foreign threats.

Trump pushed the deadline back multiple times. But finally, the deal is reaching a productive end.

In a historic move, Oracle Corporation (NYSE: ORCL) will now run and secure TikTok’s U.S. algorithm and user data, following a decision backed by big names like Larry Ellison and Rupert Murdoch.

Prompt my AI trading bot with the ticker. It will give you a trade plan as if you asked me directly.

That’s not all … Prior to the TikTok news this week, on September 10 Oracle’s market value surged by $244 billion.

The stock spiked 40% and made new all-time highs after quarterly data showed that the company’s revenue surged due to multiple billion-dollar AI contracts inked over the last few months.

ORCL is quietly becoming a go-to infrastructure backbone for AI. Its contract partners already include big names like OpenAI, Meta, and Nvidia.

And now, with TikTok under its wing, Oracle’s influence stretches from enterprise data centers to the hands of every U.S. Gen Z user on their phones.

Look at the chart of ORCL below, every candle represents one trading day:

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

This is a huge story.

With that said … I probably won’t trade ORCL.

The chart looks great and there’s a ton of momentum here, but the share price is too high for my small-account strategy.

Instead, I’m watching ORCL for confirmation of this AI and tech momentum in the market.

And I’m using it to target cheaper stocks that spike even higher.

The Market’s Favorite AI Stocks

For two years now, everyone’s talked about NVIDIA Corporation (NASDAQ: NVDA).

But there are other AI stocks in the market with just as much strength.

And traders who fail to dig deeper are voluntarily leaving money on the table.

More Breaking News

ORCL is a perfect example.

So are the stocks on my rare-earth watchlist.

And the stocks on my quantum-computing watchlist.

This 2025 market is full of stocks that spike higher alongside AI momentum.

My strategy is to focus on the biggest percent gainers. The most volatile stocks in the market.

Yes, there are dangers to trading volatile stocks.

But I control my risk with popular patterns and short term positions.

With a small account, I’ve used the same patterns over and over again for more than two decades to profit $7.9 million in the market (including losses).

My top student, Jack Kellogg, has profited $22.1 million since 2017 (also including losses).

And I have dozens of other millionaire students. We all use the same patterns and process to trade.

Instead of trading pricier stocks like ORCL, which only move a couple of percentage points a day, we’re focused on cheaper stocks that can spike +100% intraday.

When a stock spikes +100%, there’s more wiggle room to take 10 – 20% with a textbook trade pattern.

Then we reuse these patterns on the next hottest stock.

And thanks to the AI momentum in the market right now, there’s a specific small-account setup that I’m watching …

Don’t take a random stab at this stock. Use a tested process.

Watch my video below for all the details:

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”