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NVDA Invested In A New Penny Stock!

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Written by Timothy Sykes
Reviewed by Jack Kellogg Fact-checked by Ben Sturgill
Updated 9/5/2024 5 min read

Ladies and gentlemen, this is one of the best catalysts in the market right now …

Stocks that NVIDIA Corporation (NYSE: NVDA) shows interest in.

The last company that spiked with NVDA-investment news was Serve Robotics Inc. (NASDAQ: SERV). And it went on a multi-day spike that reached 800%*.

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

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

Since the spike started, I have traded SERV 18 times … There’s an example below:

Source: Profit.ly

Now … Yesterday was day one for NVDA’s newest investment. And I already traded it once for a profit. I’m ready for the next opportunity!

It’s unlikely that the newest spiker will match the SERV chart exactly.

But I do expect multiple days of volatility!

And using my trading patterns, we can play that volatility for maximum gains.

Here’s How:

© Millionaire Media, LLC

The newest NVDA penny-stock investment … Drum roll please!

Applied Blockchain Inc. (NASDAQ: APLD)

My students and I had eyes on it right when it started to spike, thanks to the Breaking News alert system.

You can see the notification on the chart below. Every candle represents one trading minute:

Let me zoom out a bit:

APLD chart intraday, 1-minute candles Source: StocksToTrade

Get the next Breaking News alert!

The price launched 70% on the first day of the move! And there’s more volatility in the days ahead.

If we zoom out more, there’s support under the current price at $5, and a potential breakout level at $7!

Take a look, every candle represents one trading day:

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

But I understand, once we have eyes on these stocks it can still be nerve racking to build a position.

Unless you’re relying on a tested trade pattern …

I’ve been trading with the same patterns for over two decades. They’re the same patterns that my millionaire students trade with. And they’re not going to change any time soon.

The Same Trading Patterns

© Millionaire Media, LLC

These price movements are based on human psychology.

People are predictable during times of high stress. Like when they have a few thousand dollars in a stock that’s spiking +100%.

As long as people continue to trade these stocks … The patterns will stay the same.

Here’s your job: Gain as much experience as possible so that you can recognize these patterns in real time.

Every stock spike is a little different, like a snowflake. That’s why it’s unlikely that a trader understands this process immediately, because they have ZERO experience.

Give it some time. Show up every day. And in 2024 …

You can use my AI trading bot to follow this framework.

That’s right, I taught these trade patterns to an AI.

It took a few months, but boy was it worth it! Now my students have an interactive system that tracks these setups in real time.

Enter APLD into the AI today and it will spit out a trade plan as if you asked me directly!

What a time to be alive …

It’s easier than ever for my students to learn this process. Take advantage of it!

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”