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Trading Lessons

AI That Trades Like Me – The Setups It’s Watching NOW

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Written by Timothy Sykes
Updated 9/3/2025 5 min read

This is the game-changer that traders have waited for …

Last week, my AI-powered trading bot alerted FOUR winning trades on four different stocks.

All for a combined gain of 84%. In a single week!

Real stocks. Real moves. Real profitable setups.

I posted the charts below with the positions overlaid. Every candle represents one trading minute:

Cognition Therapeutics Inc. (NASDAQ: CGTX)

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

American Resources Corporation (NASDAQ: AREC)

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

Richtech Robotics Inc. (NASDAQ: RR)

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

Rockwell Medical Inc. (NASDAQ: RMTI)

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

My AI-trading bot, XGPT, is trained to follow the exact process that I’ve honed and perfected over two decades of profits.

It thinks like me … But it’s faster, never sleeps, and never gets emotional.

You don’t even need to know how to trade.

Just prompt my AI with the stock that you’re watching and it spits out a full trade plan:

  • An ideal entry.
  • A key risk level.
  • And an exit strategy.

It’s as if traders have me on speed dial at any time and in any market condition.

Stop struggling to grow your account and stop missing the biggest spikes. XGPT can be your fix.

Trade with precision and use the same edge that my millionaire students and I use every day.

Today’s biggest stock spike: Prompt XGPT with the ticker right now.

It will give you a trade plan as if you asked me directly.

The Process Behind XGPT

I’ve traded with the same patterns for over 20 years.

They’re the same patterns that my millionaire students use to make gains.

Like Jack Kellogg, who started in 2017 with $7,500, has now profited $20.5 million using a few simple strategies.

He posted a 2025 update on X the other day.

Look below:

Jack and I aren’t geniuses either …

My win rate is 75%.

Jack’s win rate is 56%.

You don’t have to be perfect to profit. You just need a process that cuts losses quickly and lets your winners run.

That’s the basis of the trade process that I’ve honed for over two decades.

And I continue to teach students this strategy, as the number of millionaire traders grows.

Watch my recent August update and September prep below:

I focus on small-cap plays that can spike +100% intraday. Those are the best setups to grow a small account quickly.

But learning this process can be time consuming.

Or at least … It used to be.

Ever since AI burst on the scene in 2023, I recognized its potential to help new students.

As well as the potential to make trading a lot easier for the rest of us.

After months of prompting, testing, tweaking, etc. … I finally have a tool that my newest students can use to learn this process while trading in real time.

Learn how to maximize XGPT’s trade potential for your account.

Watch my video below:

There are new stock spikes every week that follow my patterns.

Stop missing out!

Cheers

 

*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.
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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”