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This Week’s AI-Stock Spike!!🤖📈

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Written by Timothy Sykes Reviewed by Jack Kellogg Fact-checked by Ellis Hobbs
Updated 9/17/2024 5 min read
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Welcome traders,

Even though artificial intelligence burst on the scene over a year ago, it’s still one of the hottest sectors we’ve seen since the dot com boom!

To give you an idea of the persistent strength behind AI:

  • The sector is expected to grow 37% this year.
  • It’s expected to create 133 million jobs by 2030.
  • By the same year, 2030, the industry is also expected to contribute $15.7 trillion to the global economy.
  • Already, 25% of businesses use AI to solve labor shortage issues.

And we still see penny stocks shoot higher with AI news.

Most recently, on Tuesday, September 17, we watched as DataSea Inc. (NASDAQ: DTSS) spiked 55% after announcing that it logged $9 million in new revenue from its 5G-AI services.

I made three trades in total from yesterday morning’s price action. We’ll go over them later in this blog post.

But understand, I’m not the only person trading these plays …

All my students use the exact same framework that I do. Take a look at one of my student’s posts on X below:

Source

Here’s a chart of yesterday morning’s DTSS price action that we traded. Every candle represents one trading minute:

DTSS chart intraday, 1-minute candles Source: StocksToTrade

You can track these setups right now, TODAY!

My newest students are using the XGPT, an AI-trading bot to track these plays with my EXACT framework.

I taught XGPT to follow the hottest stocks using my patterns.

>> Enter DTSS Into XGPT And It Will Spit Out A Trade Plan <<

Here’s How I Traded It Yesterday …

Learn from my entries and exits!

The stock likely won’t behave the exact same again, but the patterns that we use will repeat.

The more experience that you have seeing these patterns, the better you’ll recognize trade opportunities in real time.

So, let’s take a look at my trades on DTSS yesterday:

Source: Profit.ly

When’s the last time you saw a trader share their losses??

Every trader loses sooner or later.

More Breaking News

I’m a REAL trader and mentor in an industry full of fakes. And I share ALL of my positions because my students learn just as much (if not more) from my losses.

Here are my trades overlaid on the DTSS chart, every candle represents one trading minute:

DTSS chart intraday, 1-minute candles Source: StocksToTrade

Remember, my AI trading bot follows this exact process!

Let’s look at a recent example of the XGPT AI bot from this week.

Every afternoon it sends out a watchlist …

On Monday at 3:15 P.M. Eastern, before the market closed, traders got the following trade plan for REE Automotive Ltd. (NASDAQ: REE):

Notice the stop-loss level.

That’s where we need to cut the loss if the trade falls apart.

This is what I mean when I say that every trader loses sooner or later. We can’t fully predict what a stock will do. Instead, we take advantage of the best price action, we position ourselves favorably, and then we follow the trade plan.

REE hit the buy level on Tuesday morning. Here’s that trade overlaid on the chart, every candle represents one trading minute:

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

>> Use XGPT To Build Smart Entries On The Markets Hottest Stocks <<

There will be more opportunities to profit this week!

Cheers.

 

*Past performance does not indicate future results

 

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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”