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Trade Opportunities This Week

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Written by Timothy Sykes
Reviewed by Jack Kellogg Fact-checked by Ellis Hobbs
Updated 12/30/2024 5 min read

It’s Tim Sykes here.

Every week there are new opportunities for traders to profit from the hottest stocks in the market.

These volatile runners can follow popular patterns that my students and I use to profit.

For example, last weekend we watched WiMi Hologram Cloud Inc. (NASDAQ: WIMI) spike Friday and Monday. The entire move measures 120%*.

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

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

I snagged a profit over the weekend after WIMI followed my specific Friday price action …

See my trade notes below:

Source: Profit.ly

This is the price action that I look for every weekend!

There are only 52 weeks in a year.

That means there are 52-weekend opportunities to make this trade. One good trade a week can make all the difference for your account.

Make this your New Year’s Resolution! 52 trades a year …

A New Year – A New Trading Account

© Millionaire Media, LLC

Every New Year, people pick a New Year’s Resolution that’s supposed to set themselves up for success.

  • More time spent in the gym.
  • More time meditating.
  • Eating healthier foods.

And one of the major reasons why these resolutions fail: There isn’t a roadmap for success.

Let’s use the gym as an example:

  • Some people say they want a six pack but they neglect to make a plan of attack.
    • They fail from lack of preparation.
  • Some people say they’ll work out for two hours, five days a week. But theft’re not ready for that kind of commitment.
    • They fail because they set unrealistic expectations. Then they burn out.

This New Year, in 2025, I’ve got a plan of attack that new traders can follow. A plan that isn’t overbearing.

Every Friday afternoon, I look for the exact-same pattern in the market.

Stocks can follow a specific price action over the weekend. And the setup starts on Fridays.

Some recent examples are last weekend’s setup on WIMI

  • The weekend before: SEALSQ Corp. (NASDAQ: LAES) from 12/20 – 12/23.
  • The weekend before that: Red Cat Holdings Inc. (NASDAQ: RCAT) from 12/13 – 12/16.
  • And the weekend before that: Gaxos.ai Inc. (NASDAQ: GXAI) 12/6 – 12/9.

Almost every weekend there’s a new opportunity to profit!

And as a trader, all it takes is one good trade a week to make a difference.

Every Friday in 2025, make a promise to show up and look for THIS PRICE ACTION:

What Makes A Weekend Winner?

We’re looking for bullish stocks that are spiking with news.

Not only that … We want to find a stock that has the potential to spike into Monday.

In the market that means we want:

  • News that has legs (the catalyst can carry the stock higher over multiple days).
  • The chart shows consolidation while holding gains from the previous spike.

Using last weekend as an example: WIMI announced earlier in the week (Thursday) that it developed a random-access memory architecture based on quantum technology.

Quantum computing is a hot sector right now! We’re also seeing runners like:

  • Quantum Computing Inc (NASDAQ: QUBT)
  • Quantum Corp (NASDAQ: QMCO)
  • D-Wave Quantum Inc (NYSE: QBTS)

When WIMI started to spike that Friday, I saw the potential for a follow-up spike into Monday.

The news was in a strong sector … And the chart showed price action that matched my weekend framework.

ATTENTION: We could see this pattern develop today, December 31, because the market is closed for New Year’s Day.

Either way, make sure to show up this Friday no matter what!

It’s the beginning of our New Year’s Resolution.

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”