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Trading Lessons

How To 10x A Trade In 1 Day!

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Written by Timothy Sykes
Reviewed by Jack Kellogg Fact-checked by Ellis Hobbs
Updated 10/15/2024 5 min read

Welcome traders,

There’s a brand new stock that’s spiking to INSANE heights. And it fits my framework perfectly!

That means: We can track this price action over the next few days and weeks for calculated profit opportunities.

The last stock that spiked like this was Wheeler Real Estate Investment Trust Inc. (NASDAQ: WHLR).

It ran 1,100%* in September!

And true to my trading framework, the chart showed us at least two other massive bounces after the initial run. These were prime opportunities to profit!

A lot of traders forget about these stocks after the initial run. Keep these spikers on your watchlist. Past spikers can spike again!

Take a look at the WHLR chart below, every candle represents one trading day:

WHLR chart multi-month, 1-day candles Source: StocksToTrade

I traded the initial WHLR spike in early September. I also traded the bounce on September 10.

All three of my trades are displayed below:

Source: Profit.ly

I already traded the newest spiker from Tuesday. It’s following my framework perfectly.

It already spiked 1,400%*!

And I expect the chart to look a lot like WHLR. These patterns repeat in the market!

The Newest Insane Runner

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© Millionaire Media, LLC

On Monday afternoon … Before the supernova spike on Tuesday, we got a trade alert from my artificial-intelligence trading bot, XGPT.

The AI is trained to follow my exact framework on the hottest stocks in the market. And at 3:15 P.M. Eastern, before the market closed on Monday, we got a specific trade plan.

Take a look at the alert below:

The alert was for Bright Minds Biosciences Inc. (NASDAQ: DRUG).

The price had begun to spike as part of a short squeeze on Monday afternoon. That’s when the XGPT bot took an interest in it.

You can see the alert overlaid on the chart below, from Monday to Tuesday.

Every candle represents one trading minute:

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

Get the next XGPT trade alert!

Most of this price action is from short sellers blowing up. But for me and my students, there were massive opportunities to profit with a long-biased strategy.

See my post on X below:

Had a trader followed the XGPT instructions …

  • Buy 1078 shares at $1.95 and sell at $2.49: A $582 profit.

And to entertain myself …

  • The total opportunity, based on the day high of $29.12: A $29,289 profit.

See my post from X below:

This was a CRAZY runner on Tuesday.

And there are still trade opportunities ahead!

Follow-Up Bounce

I don’t want to buy shares of an overextended stock.

It’s true, DRUG could squeeze higher from here. But I already snagged a solid profit from day one.

Right now, I’m more interested in a dip that leads to a sizable bounce. Like the bounces on WHLR’s chart in September and October.

Wait for the price to fall lower.

Then, when the chart shows us bullish momentum, like when it trades green on the day, we can use support and resistance to build smart positions.

If you get stuck, use XGPT to inform your setups!

Enter the DRUG ticker into XGPT and it will spit out a trade plan as if you asked me directly.

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”