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Trading Recap

1,300% Stock Spike in Two Days — My AI Caught It First!

Timothy SykesAvatar
Written by Timothy Sykes
Updated 5/27/2025 5 min read

On Friday, May 23, at 3:15 P.M. Eastern, we got a trade alert for SharpLink Gaming Inc. (NASDAQ: SBET).

The stock had already spiked 70% that day, to $6.40 per share, and it was closing strong.

But nobody expected what happened next …

When the market opened on Tuesday, May 27 (the market was closed for Memorial Day on Monday) the price shot to $53 per share!

In two trading days, this stock spiked 1,300%*.

Look at the SBET chart below. The initial spike on Friday is almost impossible to see because of the massive spike on Tuesday.

Every candle represents one trading minute:

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

I would have traded this … But I was preoccupied with Uranium Energy Corp. (AMEX: UEC).

There were multiple spikers that followed my patterns last weekend .

Here are my trade notes from UEC:

Source: Profit.ly

My trade patterns can repeat on the hottest stocks over-and-over again.

And thanks to the accuracy of these patterns, I was able to teach these setups to an AI.

My AI-trading bot follows the hottest stocks in the market and looks for my specific trade setups within the price action.

The AI analyzed SBET’s price action last Friday and alerted a buy that afternoon.

Look at my post below:

Learn how my newest students use AI to find trade setups from the market’s biggest stock spikes.

Watch my video below:

The next +100% stock spike is right around the corner …

Make sure that you’re prepared to capitalize!

What To Look For

Looking for the next +100% spiker?

You’ve got to think like a sniper, not a machine gunner.

There are thousands of stocks moving every day. But only a few will give us a true opportunity for gains.

Pick your shot carefully.

First of all, we look for stocks that spike at least 20% on the day. Because a stock that can spike 20% can spike higher.

Next, we sift through those runners to look for credible news or catalysts.

We’re looking for something that grabs our attention:

  • Hot sector sympathy
  • Contract wins
  • Positive trial results
  • Company mergers
  • Bullish earnings, etc.

The news has to be fresh, preferably that morning or from late the night before.

Next, check the float. We’re looking for stocks with a low float because the low supply of shares helps prices spike higher when demand increases.

Anything under 10 million shares is considered a low float.

Lastly, the stock’s volume will confirm the market’s interest. A stock trading 5x, 10x, or more of its average daily volume is a clue that the crowd is watching this stock and piling in.

Combine all of these factors and you’ve got a stock like SBET

  • A spike well above 20%.
    • 1,300%* thus far.
  • News of a $425 million private placement to start an Ethereum-focused treasury.
  • The float was only 573k shares.
  • And on Tuesday, it traded over 49 million shares.
    • On Friday it traded 6 million shares. That was already 10x the float.

SBET wasn’t the first stock to spike and match these factors …

And it won’t be the last.

How To Trade The Next Stock Spike

Once we find the stock, we still have to execute a trade.

That’s where my patterns come into play.

Volatile stocks have followed my specific patterns in the market for over two decades.

It’s because people are predictable during times of high stress.

When someone has a few thousand dollars in a stock that’s spiking +100%, their emotions start to influence their trading.

It’s my job, as a trader, to step back from those emotions and realize the larger patterns at play in the price action.

And as a mentor, it’s my job to teach you how to do the same.

Similar to how I taught Jack Kellogg this process in 2017. Jack currently has $18.7 million in trading profits …

Plus, compared to when Jack started, this studying process has been extremely simplified.

It was difficult for new students to recognize these patterns in real time.

Especially because new traders are battling their own emotions …

Lean on my AI-trading bot until you gain self-sufficiency in the market.

There’s no shame in using AI to trade.

Heck, Wall Street has used algorithms to trade for years!

Make the best decision for YOUR account growth.

Cheers

 

*Past performance does not indicate future results


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Comments (1)
BerehaneMay. 28, 2025 at 10:13 pm

Great lesson!! Thanks Tim!!


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”

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