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Jack Kellogg Called The Market Bottom

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Written by Timothy Sykes
Updated 4/7/2025 5 min read

The week is already off to a wild ride …

On Monday morning, April 7, there were rumors that Trump would announce a 90-day tariff pause for all countries except China.

Those rumors were quickly shut down by Trump who also announced the threat of higher (50%) tariffs against China if the country didn’t lower their retaliatory tariffs by today, April 8.

To get an idea of the resulting price action, take a look at the S&P 500 ETF Trust (NYSE: SPY) chart below.

Every candle represents one trading day:

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

On Monday morning, one of my most successful students, Jack Kellogg, called a momentary bottom in the market.

His post from X is below. He was replying to reports of an official bear market:

Here’s Jack’s tweet overlaid on the intraday SPY chart from April 7. Every candle represents one trading minute:

SPY chart intraday, 1-minute candles Source: StocksToTrade

How To Call A Market Bottom

© Millionaire Media, LLC

Kids … Don’t try this at home 😆

We’re in an especially dangerous market right now.

  • There’s a lot of volatility.
  • Political and economic circumstances can change at a moment’s notice.
  • At its most extreme, on Monday, April 7, the market lost 20% of its value from the highs in February.

Jack Kellogg called a momentary bottom on Monday morning because he’s a successful trader with multiple years of experience using my framework.

Don’t get it wrong, the market could definitely fall lower this week. Even next week or next month.

The point is: Jack shows us that my framework is applicable to the larger-market volatility AS WELL AS small-cap runners.

For an example of the small-cap momentum right now, while Jack called a rally on Monday … Stocks like Bluejay Diagnostics Inc. (NASDAQ: BJDX) followed my patterns to spike +100%!

The entire move on BJDX, during premarket hours on Monday, reached 220%*.

The same framework that Jack used to call a bottom in the market, I used it to trade BJDX for a 5% profit.

Look at my trade notes below:

Source: Profit.ly

And BJDX wasn’t the only low-priced stock that showed us trade opportunities on Monday …

  • Janover Inc. (NASDAQ: JNVR) spiked 1,000%*.
  • MKDWELL Tech Inc. (NASDAQ: MKDW) spiked 600%*.

This volatility is not a coincidence!

Remember that we saw American Rebel Holdings Inc. (NASDAQ: AREB) spike 1,300%* last week, starting on Wednesday, April 2 …

The larger-market turmoil is creating HUGE stock spikes in our lower-priced niche.

And we can trade these stocks.

How To Trade Low-Priced Runners

Jack Kellogg is trading larger assets like the SPY because his position sizes are huge right now.

Most of my students start with a small account. Jack is no different. But since he found success in the market, his larger position sizes now make it difficult to trade illiquid penny stocks like BJDX.

I traded BJDX with a position size of $8,219.

For contrast, here’s an example of Jack’s recent trades …

Source: Profit.ly

The patterns that we use are the same.

The only difference is that it’s easier to trade cheap stocks with a $10k position, versus a $100k position …

You have an advantage with a small account!

But there are still dangers.

For example, the market volatility is quick. The most important part about this strategy is timing.

A perfect trade on BJDX on Monday might turn into a huge selloff on Tuesday …

We need to take advantage of this volatility before it switches directions.

My newest students use AI to ensure they’re trading these stocks with enough time to get out.

The AI trading bot, XGPT, scans stock-market data in real time to analyze potential trade setups on the hottest stocks.

And the AI follows my exact process for gains in the market.

Get the next trade setup from my video below:

There will be more runners this week …

Use AI to find these plays in time. Don’t get left behind!

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”