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The Newest 100% AI Stock Spike – They’re Everywhere!

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Written by Timothy Sykes
Updated 7/30/2025 4 min read

Yesterday I pulled a simple 17% profit from a stock that spiked 100% after the company announced a “DeepSeek Moment” in the AI-driven biotech sector …

And I laid out my entire trade plan in the chat!

Look at my notes below:

Source: Profit.ly

What’s your excuse for missing these plays??

  • My students and I use the same patterns every week.
  • We trade the same kinds of stocks.
  • And I share my trade plans in the chat.

But I always remind myself …

This might be YOUR first exposure to these setups.

And I always cut newbies some slack. After all, they don’t teach this stuff in school.

The rest of you need to study harder! We see the same trade setups every week.

And in this hot 2025 market, there are multiple trade setups every day.

Multiple 100% AI Runners

This isn’t the first +100% spike from an AI penny stock.

Here are some more recent runners from late July …

  • AEye Inc. (NASDAQ: LIDR) spiked 460%* with news that its Apollo system is fully integrated in NVIDIA’s autonomous driving platform.
  • VisionWave Holdings Inc. (NASDAQ: VWAV) spiked 430%* after announcing a $50 million investment to continue its AI-driven defense system.
  • ScanTech AI Systems Inc. (NASDAQ: STAI) spiked 130%* after it announced an additional $1 million contract for the company’s SENTINEL AI security system.

And I’m adding yesterday’s AI runner to the list … Keep reading.

These spikes won’t stop anytime soon!

There’s a bigger story at play that continues to push cheap AI stocks to insane heights.

Watch my video below to get in on this momentum:

The Newest 100% AI Runner

On Wednesday, July 30, during premarket hours, BioNexus Gene Lab Corp (NASDAQ: BGLC) announced a business alliance with Fidelion Diagnostics.

The partnership was touted as a “DeepSeek” moment for AI-driven cancer monitoring and general biotech advancement.

The DeepSeek mention is a clever marketing ploy to draw attention to the stock. It references the DeepSeek momentum from early 2025 when China created a comparable AI model to ChatGPT with far less sophisticated microchips.

These sketchy penny stocks will do anything to spike their prices higher 😆 And we can take advantage of their brazenness.

These volatile stocks like to follow specific patterns as they shoot upward.

For example, I traded the breakout on BGLC on July 30. And there were multiple dip-buy setups after the breakout as it moved toward the open.

On the BGLC chart below, every candle represents one trading minute:

BGLC chart intraday, 1-minute candles Source: StocksToTrade
BGLC chart intraday, 1-minute candles Source: StocksToTrade

Make sure that you’re ready for the next AI trade setup.

  • NVIDIA pushed to new all-time highs yesterday.
  • Tech companies continue to invest billions in AI.
  • And the U.S. economy just signaled strong growth for the second quarter amid trade tensions.

The U.S. economy is strong and the AI sector is soaking up all of this bullish momentum.

Get the next AI trade setup!

Cheers

 

*Past performance does not indicate future results



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Timothy Sykes

Tim Sykes is a penny stock trader and teacher who became a self-made millionaire by the age of 22 by trading $12,415 of bar mitzvah money. After becoming disenchanted with the hedge fund world, he established the Tim Sykes Trading Challenge to teach aspiring traders how to follow his trading strategies. He’s been featured in a variety of media outlets including CNN, Larry King, Steve Harvey, Forbes, Men’s Journal, and more. He’s also an active philanthropist and environmental activist, a co-founder of Karmagawa, and has donated millions of dollars to charity.
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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”