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The Next +100% Stock Spike

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Written by Timothy Sykes
Reviewed by Jack Kellogg Fact-checked by Ellis Hobbs
Updated 10/21/2024 4 min read

Welcome traders,

On Monday this week, Genprex Inc. (NASDAQ: GNPX) and BioVie Inc. (NASDAQ: BIVI) both spiked +100%*.

  • GNPX ran 390%*.
  • BIVI ran 210%*.

These were NOT random moves.

The momentum started on Friday, October 18. And our AI trading system alerted perfect entries for both stocks!

Anyone who paid attention on Friday afternoon had an opportunity to bank.

See the post on X below from one of my students:

Source

Yes, I trained an artificial intelligence to track the hottest stocks in the market using my framework.

Last week it called a perfect trade on Bright Minds Biosciences Inc. (NASDAQ: DRUG), a 3,000%* spiker.

And yesterday we watched GNPX and BIVI shoot higher after XGPT gave us solid entry positions.

Take a look at the trade notifications that we got on Friday afternoon … On the charts below, every candle represents one trading minute:

GNPX chart multi-day, 1-minute candles Source: StocksToTrade
BIVI chart multi-day, 1-minute candles Source: StocksToTrade

Get the next AI trade alert!

The trade plans that we use are essential! We have to wait for the perfect entry.

Here’s why:

Even though both stocks spiked +100%*, there’s still a possibility that a trader could lose money if they traded the move incorrectly.

Our trade plans help us mitigate risk on the hottest stocks!

How To Build A Position

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The XGPT trading system follows my framework and trade patterns to a T.

We follow these trade patterns because nobody is 100% positive what a stock might do …

We can’t buy shares at random because there’s no telling what could happen.

That’s why we wait for the price action to match a pattern that gives us better odds. We’re looking to buy shares above an area of support with hopes that the price will push higher.

But, in the worst case scenario, it dips below support and that’s our sign to get out.

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We have a clear plan to stay in control of these plays.

Plus, we focus on the strongest stocks to increase our odds of success even further.

That brings me to GNPX and BIVI

They were both low-float biotech stocks in a raging sector-wide short squeeze.

Ever since DRUG started to spike +3,000%* last week, we saw a ton of other low-float biotechs follow suit.

GNPX and BIVI are sympathy plays to DRUG.

On Friday, XGPT alerted a $0.40 buy at 3:15 P.M. Eastern for GNPX because it became a large support level.

On the chart below from Friday, you can clearly see that $0.40 is a resistance level that GNPX spiked past and used for support into the close.

Every candle represents one trading minute:

GNPX chart intraday, 1-minute candles Source: StocksToTrade

The price shot to $2.04 on Monday.

On the BIVI chart below, the consolidation happens around another major support level: $2.

The XGPT buy signal at $2.10 is an entry that’s slightly above the $2 level and still within the channel of consolidation. Take a look:

BIVI chart intraday, 1-minute candles Source: StocksToTrade

The price spiked to $7.50 on Monday.

Use my AI trading bot to build strong entries on these volatile stocks.

Quick, before the next +100%* spike!

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”