timothy sykes logo

Trading Tips-Tim Sykes Penny Stock

Level-Up Your Trading With Next-Level AI

Timothy SykesAvatar
Written by Timothy Sykes
Updated 1/12/2024 4 min read

XGPT keeps showing us winners.

It’s my latest tool to help you find potential movers to watch, study, and learn. That way, you can better build a trading process that fits you.

We spent over $1 million training it on the trading system I developed over the last 25 years.

And that investment is paying off.

On Wednesday, I pointed out this 100% winner for Elevation Oncology, Inc. (NASDAQ: ELEV).

XGPT first alerted my students to this trade last Friday.

And given the continuation of several positive indicators, such as a valid float range, a high score in a hot sector, and a positive news catalyst, it’s recommending another entry point above $2.60 per share.

CLICK THIS LINK NOW to add XGPT to your trading arsenal.

It also alerted my students to an opportunity to go long SWVL Holdings Corp. (NASDAQ: SWVL).

The AI noticed that “the stock showed a significantly positive day change of around 37.64% last Friday, with a closing price of $3.125 from its low of $2.35.” Alongside SWVL’s “hot sector” score of 100 — Application Technology – it predicted the above move from $3.30 to $4.03.

So, make sure to add SWVL to your watchlist.

Now, I know AI can seem scary. And no one should ignore the possible long-term implications.

But R2D2 and C3PO seemed harmless enough…

Seriously though, despite the long-term concerns, the promise of AI today is real.

No industry will remain untouched. And as for trading, AI sorts through phenomenal amounts of data without the baggage of emotions.

Plus, it never takes a break.

But it’s a tool.

And like all trading tools, the last thing you want to do is let those tools do your thinking for you.

Chart Your Own Path

stock trading for beginners in 6 steps
© Millionaire Media, LLC

My millionaire students didn’t achieve success blindly following me or anyone else. They made their millions by using my lessons to help them think on their own.

They didn’t waste their time hunting for “hot picks.” They focused on their process.

They put in the time studying, watching stocks, and learning the patterns.

Do this diligently, and pretty soon, those patterns will start to click like they did for Andrew, my latest student to earn over $1 million in trading profits.

XGPT is yet another resource I’ve developed to help make trading click for you.

When it finds a stock with trading potential, it sends out an alert. It also generates a comprehensive report detailing all the factors that led to its recommendation.

But don’t just take the trade. You’ll want to read and understand that report as it’s a great opportunity to hone your process.

Then, add those plays to your watchlist so you can start recognizing the patterns that pay.

Think of XGPT as C3PO.

But to not leave R2D2 out, check out the Artificial Super Intelligence Summit for another incredible AI tool we have in development.

And for those new to trading, always keep the following in mind:

  • start small
  • trade small
  • be safe.

You can always size up later.

Before I let you go, make sure to add this latest XGPT win in Mersana Therapeutics Inc. (NASDAQ: MRSN) to your watchlist.

And then WATCH THIS VIDEO to learn how to add the AI behind XGPT to your toolkit today.

How much has this post helped you?

Leave a reply

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. Read More

* 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”