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This AI Trading Bot Is Killing It!

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Written by Timothy Sykes
Updated 4/29/2024 3 min read
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Don’t worry, this isn’t a terminator nightmare.

There’s an AI trading bot that’s killing it in the market!

Ever since AI burst on the scene in early 2023, there were rumors of people using the technology to trade stocks.

Some people thought that it would be the end of trading as we knew it … lol.

People have been using technology like AI in the stock market for years. How do you think Wall Street programmed their high frequency trading algorithms?

AI can help small-account traders gain ground in a market where we used to have a huge disadvantage.

Here’s how:

Last weekend I traded a hot runner that showed us a perfect profit setup. My trade notes are below, I used a starting stake of $36,750:

Source: Profit.ly

I was able to recognize this trade because I have over two decades of experience in the market. But a new trader who doesn’t understand this process likely would have missed it.

This AI trading bot, XGPT, is programmed with my trading process.

Follow the setups it alerts every week and soon enough you’ll start to see these patterns in the market.

Last Weekend’s Opportunity

© Millionaire Media, LLC

XGPT takes advantage of intraday price action.

Meaning: It scans the market and offers overnight swing trade ideas.

There are profit opportunities for morning traders. But I’ve found XGPT works best as an afternoon scan.

For example, the alert last Friday on ImmunityBio Inc. (NASDAQ: IBRX).

More Breaking News

Take a look at the chart below, every candle represents one minute:

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

I bought shares at an average of $7.35 on Friday.

I sold them Monday morning at $7.63.

A total profit of $1,420.

Bing, bang, boom.

Now, for new traders, this process is easier said than done.

That’s why XGPT is so valuable.

Follow the trade plan that XGPT outlines.

  • If the trade fails, the setup tells you when to get out.
  • If the trade is a success, you’re in the money.

Start learning this process before the market breaks to new highs …

There’s a HUGE bull-market rally on the horizon. And our XGPT plays can use this momentum for insane stock spikes.

>> This is everything you need for the next XGPT runner <<

Cheers.

 

*Stock trading is inherently risky.

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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”