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How To Use AI To Trade:

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Written by Timothy Sykes Reviewed by Jack Kellogg Fact-checked by Ellis Hobbs
Updated 9/12/2024 4 min read
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The framework that I use to trade …

The framework responsible for my $7.7 million in trading profits …

The framework that my millionaire students use to trade …

It’s been the same framework for over two decades.

And I don’t gate keep this information.

>> This is the framework that we’re using to trade <<

But I still have a lot of students who give up.

The reason why it’s so difficult for traders to capitalize on this information: They lack the experience to truly recognize these setups in real time.

And in the process of trying to gain experience, they get frustrated and give up.

But every year, my trading process becomes more attainable.

  • I consolidated a lot of my trading tools into one platform. An end to the hundreds of open tabs on my laptop, lol.
  • I started filming and cataloging LIVE trading webinars for students to watch whenever they’d like.
  • My millionaire students help newer students in the chat and provide more examples using this framework.

And most recently …

I have an AI trading bot that follows my patterns.

The framework is always the same. It was only a matter of time until the AI started to catch on.

And unlike my high-spirited students, the AI won’t get frustrated and quit.

My students can use this AI to track these plays and inform their trades.

It keeps getting easier for students to understand this process.

How The AI Works:

© Millionaire Media, LLC

There are two ways a trader could capitalize with this tool:

Today’s Breaking News

  1. Wait for the afternoon watchlist with detailed trade plans that follow my framework.
  2. Enter your favorite ticker at any time and the AI will spit out a trade plan as if you asked me directly.

This week we saw A LOT of runners in the market. And the AI alerted quite a few trades.

There’s a chart below to give you an example.

This is Quhuo Limited (NASDAQ: QH) from Monday to Tuesday of this week, every candle represents one trading minute:

Below is the alert that we got from the afternoon watchlist.

You can see how XGPT lays out the trade plan (it assumes we’re trading with a $10,000 account):

Get the next XGPT trade alert!

XGPT is such a good tool because it always keeps risk in mind.

There’s no such thing as a 100% guarantee in the market. Which means we have to prepare for failed trades.

Notice the risk/reward ratio in the trade plan above.

  • A profitable trade would have yielded a 36% profit.
  • A failed trade would have resulted in only an 18% loss.

We have to keep our potential losses smaller than our potential gains. If the trade doesn’t satisfy our safety requirements, don’t play it.

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. 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”