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Trading Tips-Tim Sykes Penny Stock

The #1 Trade Today!

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Written by Timothy Sykes
Reviewed by Jack Kellogg Fact-checked by Ellis Hobbs
Updated 1/30/2025 5 min read

There’s a specific trade that I look for once a week.

Without fail, there’s an opportunity for this specific price action to develop in the market.

It starts on Friday afternoons.

For whatever reason, there’s a group of traders who don’t watch the market on Fridays. Maybe they’re taking a long weekend. Maybe they’re busy on Fridays with work. Whatever the case, they miss the biggest Friday runners.

Over the weekend, they scan the market and stumble across Friday’s hottest stocks. That’s when they buy shares. The buy orders pile up and execute on Monday morning, creating a secondary spike.

Our goal is to buy shares on Friday afternoon and sell into the Monday spike.

It’s easier said than done. But I can help you understand this trade setup!

My Past Weekend Trades

© Millionaire Media, LLC

Last weekend I took a loss.

But it was beyond my control …

In hindsight, I picked the right stock. The share price fell because of a larger catalyst that hit the entire U.S. stock market.

A new AI from China, called DeepSeek, replaced ChatGPT as the most downloaded app in the U.S. Apple app store last Monday, January 27.

DeepSeek is very comparable to ChatGPT and other AI models in the U.S. It also was reportedly constructed at a fraction of the cost of other U.S. models and all while the U.S. enacted tech sanctions against China.

Suddenly, on Monday morning, investors worried that the U.S. tech market was overinflated. And tech stocks across the board dropped lower.

  • NVIDIA Corporation (NASDAQ: NVDA) dropped 18%.
  • Meta Platforms Inc. (NASDAQ: META) dropped 3%.
  • Amazon.com Inc. (NASDAQ: AMZN) dropped 3%.
  • The S&P 500 ETF Trust (NYSE: SPY) dropped 2%.

I was trading Neptune Digital Assets Corp. (OTCQB: NPPTF) last weekend.

It was an earnings winner that pushed higher after announcing that it recorded a three month net income of $26.7 million and invested in a bunch of digital assets.

My trade notes are below:

NPPTF trade
Source: Profit.ly

Take a look at the chart of NPPTF below. Every candle represents one trading day:

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

The price ultimately rebounded higher.

It’s possible that this would have been a perfect trade without the DeepSeek news 😩

Oh well … All I can do is get ready for this Friday’s play!

And I’ve got a bunch of other weekend wins already in 2025 to learn from. Take a look:

RR trade recap
Source: Profit.ly
RR trade recap
Source: Profit.ly
RR trade recap
Source: Profit.ly

My Weekend Pattern

The concept of the trade is simple enough.

But actually executing the trade is more complex.

We have to ensure that we buy shares in a specific spot in the chart to mitigate risk.

As we saw last weekend, nothing in the market is guaranteed. These trades can fail from time to time. We need to know when to get out before it goes from bad to worse.

But we don’t want to cut the trade too early … Otherwise we could miss the spike. There’s a happy medium that traders need to learn.

>> Get My FULL Weekend Trade Instructions <<

It’s a perfect time to trade with this pattern. The market is especially volatile right now!

  • Trump’s presidency has just begun.
  • DeepSeek is disrupting the AI sector.
  • There are stocks spiking +100%* every week.

And the weekend pattern is perfect for side hustle traders.

Just pay attention to the market once a week … One good trade a week can make all the difference for your account.

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”