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SOUN Leads the AI Stocks Up for Explosive December Growth

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Written by Timothy Sykes

Artificial intelligence (AI) continues to dominate market trends, offering significant opportunities for growth. While industry giants like NVIDIA lead the sector, smaller AI penny stocks under $5 are gaining attention for their potential. Here’s an updated look at three AI-focused penny stocks that traders should watch in December 2024.

My top AI stock picks for December  include the following:

Stock TickerCompanyPerformance (YTD)
NASDAQ: SOUNSoundHound AI Inc+ 624.04%
NASDAQ: GXAIGaxos.AI Inc+ 0.24%
NASDAQ: SERVServe Robotics Inc+ 20.81%

The penny stocks on this list are some of the wildest movers on the market …

Trading any of these stocks should be approached with a clear strategy and an understanding of the risks involved. I don’t trade until I see a setup I like.

Take a look at my complete AI penny stock watchlist here!

Top 3 AI Stocks to Watch for December 2024

My top AI penny stock picks are:

  • NASDAQ: SOUN — SoundHound AI Inc — The Voice AI Leader Trading at 52-Week Highs
  • NASDAQ: GXAI — Gaxos.AI Inc — The Game-Changing Visual Editor Stock
  • NASDAQ: SERV — Serve Robotics Inc — The AI-Driven Last-Mile Delivery Play Backed By Nvidia

Before you send in your orders, take note: I have NO plans to trade these stocks unless they fit my preferred setups. This is only a watchlist.

The best traders watch more than they trade. That’s what I’m trying to model here. Pay attention to the work that goes in, not the picks that come out.

Now, onto the picks…

SoundHound AI Inc (NASDAQ: SOUN): The Voice AI Leader Trading at 52-Week Highs

SoundHound AI (SOUN) has been a standout in the AI space, riding the sector’s momentum since the ChatGPT surge in 2023. Known for its cutting-edge voice recognition technology, SOUN recently posted record-breaking financials, pushing it to new highs and earning it a top spot on my watchlist.

SOUN’s Q3 earnings were a game-changer. The company reported $25 million in revenue, an 89% year-over-year increase, with an EPS beat of $0.03. This solid growth is backed by partnerships like its “Hey Kia” launch in India, expanding its voice AI solutions globally.

Currently trading close to $15, SOUN is at all-time highs, and chopping around a key resistance level. This stock has shown consistent volume and momentum, making it a prime candidate for breakout setups.

Why I’m Watching

Here’s why SOUN deserves attention:

  • The Financials: Record Q3 revenue and earnings beats don’t lie—SOUN is growing at a rapid pace.
  • The Sector Leadership: Voice AI is a hot niche, and SoundHound is at the forefront, with its tools being integrated into everything from cars to smart devices.
  • The Chart: SOUN’s price action is strong, with a clear upward trend. It’s setting up for a potential breakout above its 52-week highs.

SOUN has momentum, but I’ve learned not to chase. I’ll be watching for a breakout above resistance or a dip-buy opportunity into any big panics. Stocks like SOUN often follow my framework, offering multiple chances to profit as they consolidate or surge higher.

If you’re watching SOUN, focus on the chart patterns and volume. Don’t let hype cloud your judgment—stick to a solid plan, and let the trade come to you. Congrats to those already riding this wave—there’s more to come if it follows the right setups!

Gaxos.AI Inc (NASDAQ: GXAI): The Game-Changing Visual Editor Stock

Gaxos.AI (GXAI) is on my radar after a strong move last week. The company announced the release of its visual editor, a new tool aimed at simplifying AI integration for game developers using the Godot Engine. This news sparked major interest and sent the stock soaring with unusually high trading volume.

GXAI’s visual editor is designed to make it easier for developers to integrate AI into their games, a space that’s gaining momentum as the gaming industry looks to innovate. According to CEO Vadim Mats, this tool complements the company’s API, offering more accessible solutions to game publishers and developers alike.

Last week, GXAI traded over 129 million shares—far exceeding its 100-day average of 1.89 million. With that kind of volume and the hype around its recent launch, this stock is worth keeping on your watchlist.

Why I’m Watching

Here’s why GXAI stands out:

  • The Catalyst: The visual editor news aligns with AI’s growing role in game development, making GXAI a stock to watch.
  • The Chart: GXAI showed strong momentum last week, hitting an intraday high of $5.51 before consolidating above $4.
  • The Volume: Trading volume like this usually means there’s more action ahead.

This stock has potential, but I’ve learned not to chase. I was too aggressive on this one over the weekend and had to cut losses after taking too big a position. If I’d simply held, I’d be up $10K—but hindsight doesn’t pay the bills.

Listen to me break down my weekend strategy here!

No worries—I made it up the next day on a small trade that netted me $690 in profit (starting stake $7,050).

I’ll watch GXAI for more dip-buy opportunities into big panics. These low-float movers can be explosive when they follow my framework, so patience is key. Congrats to those who nailed it last week—let’s see how it plays out from here.

More Breaking News

Serve Robotics Inc (NASDAQ: SERV): The AI-Driven Last-Mile Delivery Play Backed By Nvidia

Serve Robotics (SERV) is shaking up the delivery game with its autonomous robots, designed to streamline last-mile logistics. Backed by giants like Nvidia and Uber, this $500 million market-cap company is scaling rapidly, and its latest moves have put it squarely on my radar.

Serve’s Gen3 robots are the most advanced yet, running on Nvidia’s Jetson Orin technology. These bots are faster, smarter, and cheaper to operate, reducing delivery costs by 50%. Since early 2022, Serve’s robots have completed over 50,000 orders with 99.94% reliability—outperforming human drivers by a factor of 10. That’s some serious efficiency.

The company recently secured a deal to deploy 2,000 more robots by the end of 2025, expanding into California, Dallas, and Fort Worth. Uber, one of Serve’s largest backers, stands to benefit as it reduces reliance on human drivers. These partnerships are a big vote of confidence, but don’t let the hype blind you—there are risks here too.

Why I’m Watching

Here’s what makes SERV interesting right now:

  • The Chart: SERV spiked nearly 50% on news of a strategic acquisition and raised analyst ratings.
  • The Partnerships: Nvidia and Uber together own over 20% of the company. When heavyweights like these are invested, it’s worth paying attention.
  • The Potential: Serve says its robots could eventually bring delivery costs down to $1. If that scales, this company could carve out a serious niche.

SERV is burning through cash fast—$50.9 million in reserves won’t last long at its current rate of losses. The company recently set up a stock offering to raise another $100 million, which could dilute existing shares.

I’ll keep an eye on SERV for dip-buy setups into big panics or consolidation at key levels. The stock’s volatility means there could be opportunities ahead—stay patient and trade the patterns, not the hype.

Embed SERV chart

* Past performance does not indicate future results

How to Trade AI Penny Stocks

AI penny stocks like SOUN, GXAI, and SERV offer lucrative opportunities but come with high volatility. Here’s how to navigate this dynamic market:

  1. Monitor Catalysts: Earnings reports, partnerships, and sector news often drive price movements.
  2. Use Technical Analysis: Identify key support and resistance levels to time entries and exits.
  3. Set Risk Parameters: Use stop-loss orders to limit downside exposure.

Conclusion

AI penny stocks continue to deliver explosive moves fueled by strong fundamentals and market catalysts. Stocks like SoundHound AI, Gaxos.AI, and Serve Robotics are positioned for potential gains as they capitalize on sector momentum. With disciplined strategies and careful monitoring, traders can make the most of these opportunities.

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This is stock news, not investment advice. Timothy Sykes News delivers real-time stock market news focused on key catalysts driving short-term price movements. Our content is tailored for active traders and investors seeking to capitalize on rapid price fluctuations, particularly in volatile sectors like penny stocks. Readers come to us for detailed coverage on earnings reports, mergers, FDA approvals, new contracts, and unusual trading volumes that can trigger significant short-term price action. Some users utilize our news to explain sudden stock movements, while others rely on it for diligent research into potential investment opportunities.

Our traders will never trade any stock until they see a setup they like. Their strategy is to capture short-term momentum while avoiding undue risk exposure to a stock’s long-term volatility. This method is especially useful when trading penny stocks or other high-risk equities, where rapid gains can be made by understanding stock patterns, manipulation, and media hype. Whether you are an active day trader looking for key indicators on a stock’s next move, or an investor doing due diligence before entering a position, Timothy Sykes News is designed to help you make informed trading decisions.

Dive deeper into the world of trading with Timothy Sykes, renowned for his expertise in penny stocks. Explore his top picks and discover the strategies that have propelled him to success with these articles:

Once you’ve got some stocks on watch, elevate your trading game with StocksToTrade, the ultimate platform for traders. With specialized tools for swing and day trading, StocksToTrade will guide you through the market’s twists and turns.

Dig into StocksToTrade’s watchlists here:


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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”