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Written by Timothy Sykes
Updated 7/8/2024 5 min read

I’ve been in this niche for over 2 decades. At this point, the market’s hottest profit opportunities are obvious to me.

But for new traders, it’s a challenge, understandably!

The market wants you to be confused. That way you’ll give your money away to the true winners.

My job is to help you cross that bridge of opportunity. To move from the confused side, to the profitable side.

I’ve helped others cross the bridge before you!

Take a look at some of the posts on X already this week:


I am SO proud of all my millionaire students and all those students who are well on their way toward the $1 million milestone.

Let’s set YOU on the path to do the same!

Here’s how traders are profiting right now:

Only The Best Setups

There are thousands of stocks moving everyday.

From all of those tickers, on Monday, my students found solid setups on:

  • Virpax Pharmaceuticals Inc. (NASDAQ: VRPX)
  • Zapp Electric Vehicles Group Limited (NASDAQ: ZAPP)
  • Personalis Inc. (NASDAQ: PSNL)

With experience, the opportunities were easy to see. But to an unseasoned trader, this looks like random volatility. And it’s easy to get lost.

Take a look at the VRPX chart below as an example. This is a 130%* spike where every candle represents one trading minute:

VRPX chart intraday, 1-minute candles Source: StocksToTrade

Usually, a new trader needs to see these examples over and over again until they can effectively profit off of this momentum.

That’s why I’m teaching SO OFTEN. I have to show you as many setups as possible so that you can learn quickly.

But the emergence of AI in 2023 made my job a lot easier …

Over several months, I was able to teach an AI bot how to follow the framework that my millionaire students and I use to profit.

And in 2024 it’s calling HUGE trades.

Take a look at the chart below that shows the AI trade alert on ZAPP last Friday:

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

And another trade alert on Annovis Bio Inc. (AMEX: ANVS) the same day!

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

This is where we get XGPT trade alerts.

How To Use AI To Trade

Every day at 3:15 P.M. Eastern, XGPT sends out an AI watchlist with key trade plans and a degree of certainty for each plan.

The best trade setups get +70% certainty ratings …

But let’s say you’re interested in a stock that’s not on the afternoon watchlist … Like the VRPX spike that started on Monday morning.

Enter your favorite ticker into XGPT and it will spit out a trade plan as if you asked me or my millionaire students directly!

My students and I had eyes on VRPX during premarket. The spike started after it announced news at 7:30 A.M. Eastern. That was two full hours before the market opened for regular hours.

All a trader had to do was enter the VRPX ticker into XGPT.

Today you can:

  • Wait for the afternoon watchlist.
  • Or enter your favorite morning spiker.

XGPT is a highly versatile trading tool that follows the same framework my millionaire students and I use to profit.

>> Try it today!! <<




*Past performance does not indicate future results


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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”