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Trading Lessons

Where To Find The Next Trade Setup

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Written by Timothy Sykes
Reviewed by Jack Kellogg Fact-checked by Ellis Hobbs
Updated 1/29/2025 4 min read

There are stocks spiking higher every day.

And the hottest stocks like to follow specific patterns.

It’s because the people trading these stocks are predictable during times of high stress.

People have always behaved similarly when they’re stressed. Essentially, we’re trading human psychology as it manifests on a +100% stock spike.

For example, Silexion Therapeutics Corp. (NASDAQ: SLXN) spiked 380%* this week after the company announced strong tumor growth reduction from the systemic administration of SIL-204 in preclinical pancreatic cancer models.

The price already ran for two days, back-to-back. Take a look at the chart below. Every candle represents one trading minute:

SLXN stock chart
SLXN chart intraday, 1-minute candles Source: StocksToTrade

I traded a small bounce on Wednesday when the price action followed one of my patterns.

But the real play was overnight from Tuesday afternoon to Wednesday morning.

There was a 90% profit opportunity for any trader who paid attention.

I’m overseas right now so I missed out. But I still snagged a small bounce intraday. That goes to show you how much opportunity there is in the market right now …

I missed the biggest setup on SLXN and STILL made money.

The Next Trade Opportunity

Every afternoon, there are stocks that hold momentum and prepare to spike again into afterhours. Or they spike into the next morning.

Traders who recognize key price action are free to build positions and capitalize on these spikes.

Take a look at the SLXN move below with the overnight position overlaid on the chart. The spike is from Tuesday to Wednesday of this week …

Every candle represents one trading minute:

SLXN stock alert

My AI trading bot, XGPT, is great at finding these afternoon plays.

  • XGPT follows my exact trading process.
  • There’s an entire day of price action to help it find afternoon trade setups.
  • The AI gets better at trading every time that it scans the market!

Sometimes these plays push higher that very afternoon and it makes for a quick trade.

But some of my students are also noticing these plays can push higher the next morning as well.

Take a look at the XGPT notes from Michael, one of my students, below. I had to redact some parts for non-Challenge students:

Source: Profitly

For an example of a morning-XGPT spike, look at the chart of TransCode Therapeutics Inc. (NASDAQ: RNAZ) below.

This 120%* spike is also from this week. The chart shows one-minute candles from Tuesday, January 28:

RNAZ stock alert

These trade alerts come out at 3:15 P.M. Eastern every day.

Get the next AI-trade alert from XGPT!

Grow As A Trader!

Michael’s notes about XGPT, the notes that I shared above, that’s a perfect process to help you grow as a trader.

Track your trades. Take notes. Figure out what works for you and what doesn’t.

That’s why I helped to create Profit.ly. Traders can log their trades and track their progress on different setups.

See, we’re not gambling randomly on stocks. There’s a science to this!

Read my post below from X for more information:

Use my AI trading bot to build smart positions on the hottest stocks.

We’re about to approach a volatile Friday in this 2025 market. Make sure that you’re prepared to play these insane stock spikes!

Cheers.

 

*Past performance does not indicate future results


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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”