timothy sykes logo

Trading Recap

3 Lessons from XGPT in November

Updated 11/29/2023 6 min read

In the last five trading days, Redhill Biopharma (NASDAQ: RDHL) leaped from a low of $0.30 to a high of $4.10.

But the real story is how some of my students stepped into the stock with a complete trading plan while it was still trading at about a buck.

While I’d like to take full credit for the alert … I CAN’T.

Because they received an automated alert from my new proprietary AI system called XGPT at 3:15 p.m.

But this wasn’t the only winner XGPT sent out this week.

In just one day … ONE DAY … XGPT picked up:

Asset Entities (NASDAQ: ASST) for a potential gain of 16.5%

… Iris Energy Limited (NASDAQ: IREN) for a potential gain of 7%

and SpringWorks Therapeutics (NASDAQ: SWTX) for 8.5%

… while also hitting monsters like Biodexa Pharmaceuticals (NASDAQ: BDRX) for a potential gain of close to 50%.

So, why did XGPT pick up RDHL and how did it know when to step into the trade?

While I’m not going to give away all my secrets, I will share with you a few key criteria that make the whole thing come together.

Cutting Through the Catalyst Clutter

Dozens of stocks surge in the premarket every day. 

Some of them for legitimate reasons … others not so much. 

The tricky part is trying to figure out what the best plays are … specifically … what catalysts are likely to drive a stock higher. 

You could gamble and guess … Or follow some rando on Twitter.

But why when you can use XGPT.

As an AI, XGPT can spot patterns faster than any human and can quickly determine what’s a real opportunity and what isn’t.

But it’s more than just the price patterns.

This advanced AI system understands which news catalysts qualify as legitimate and which are … well … worthless.

Take RDHL for example.

It had an incredible catalyst for a biotech company — the FDA granted it 5 years of exclusivity for its new H. pylori treatment.

The FDA makes the rules for drug distribution in the U.S … so that was a massive seal of approval. 

As mentioned earlier, the stock went from $0.30 to a high of $4.10 in just five trading sessions.

In other words, savvy traders had multiple opportunities to take this long potentially.  

And you know what?

XGPT picked RDHL as a potential trade multiple days in a row.

That means even if you missed the first entry, the system saw the potential for the stock to keep churning higher.

Would you or could you buy a stock that’s already ripped as much as RDHL?

Observing Price Action & Beyond

One of the hardest things for a trader to do, especially newer ones, is read the chart.

Sure, it’s simple enough to find support and resistance. But how do you know whether a stock has enough strength to keep running or blown all its energy?

Better yet, what if the stock hasn’t done much at all?

Take a look at the chart below for Asset Entities (NASDAQ: ASST):

The alert that went out on the 27th saw something in the stock that had practically no price action …

… and yet … it knew that if the stock could punch high enough, specifically get to $0.80, it had a shot at $0.93.

These are trades that even I wouldn’t have seen until the stock started moving.

And this system picked it up the day before.

Short Squeeze Potential

When you look at a stock, can you tell if it’s ripe for a short squeeze?

This is a core concept I teach all my students.

I want them to understand the short squeeze inside and out.

The crazy thing is … XGPT just knows how to find them.

You see, XGPT can synthesize the price action and structural data like a stock’s float and determine which are prime candidates for a short squeeze.

It then incorporates this data into the trading plan, which traders can use to inform their own decisions.

Is XGPT the Edge You’ve Been Missing?

Wall Street has always had an unfair advantage over regular traders like us. Thankfully, XGPT is on our side…

🔥 This new AI tool has nailed huge moves — as much as 300%.

🔥 It does high-level analysis in a matter of seconds.

🔥 It’s trained on my strategies —  but it can detect them better than me! 

🔥 It gives you the high-level forecasting normally reserved for quant funds and mega banks.

I’m not blowing smoke when I call this an AI breakthrough. I really do believe that XGPT is probably the single best tool that you can use. Here’s why:

🚀 Empowered Decision-Making. Its data-driven insights give traders of all skill levels an edge in technical analysis.

🚀 Potential For Higher Probability Trading. AI never gets tired. XGPT will help you spot opportunities when you’re not on top of your game.

🚀 Keep Up in the AI Arms Race. AI is coming to trading. If you’re not prepared you won’t survive. 

XGPT is the trading edge you’ve been looking for. Secure your spot now!


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”