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DeepSeek AI Stock: Is It Publicly Traded?

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Written by Timothy Sykes
Updated 5/7/2025 10 min read

If you’re searching for DeepSeek AI stock in your brokerage account, you’re going to come up empty. This Chinese AI startup has made headlines for shaking the tech world, but as of now, it isn’t available for public trading. Traders who understand timing and speculation know that identifying where attention is flowing—even before a stock is listed—can give you a critical edge.

You should read this article about DeepSeek AI because it clarifies if you can invest in the company and explores top alternatives.

I’ll answer the following questions:

  • What is DeepSeek AI and what does it do?
  • Is DeepSeek AI a publicly traded company?
  • Does DeepSeek AI have a stock name or ticker symbol?
  • Is DeepSeek AI listed on any stock exchange?
  • Will DeepSeek AI have an IPO soon?
  • How are traders reacting to DeepSeek AI’s technology?
  • What impact does DeepSeek AI have on other tech stock prices?
  • What are some alternative AI stocks to consider?

Let’s get to the content!

What is DeepSeek AI?

DeepSeek AI is a Chinese artificial intelligence company that developed one of the most cost-efficient large language models (LLMs) to date. Created in 2023 as a spinout of the hedge fund High-Flyer, DeepSeek broke onto the scene in early 2025 with the R1 model, a direct competitor to OpenAI’s most advanced offerings. R1 isn’t just cheap—it performs at a comparable level while using far fewer resources, costing just $6 million to train. For context, U.S.-based models often run into the hundreds of millions.

My experience teaching traders for over 20 years has shown me that identifying disruptive tech early is key to staying ahead of market trends. DeepSeek’s efficiency isn’t just an innovation—it’s a major shift that traders need to monitor. It’s already led to significant selloffs in companies like Nvidia and Microsoft. As we watch how DeepSeek’s AI models are integrated across Chinese tech giants and global applications, it’s important to analyze this movement not just for what it is, but for how it could influence sympathy plays and sector volatility.

Market Reactions to DeepSeek AI

The market’s reaction to DeepSeek has been immediate and brutal for some of the biggest U.S. tech names. When DeepSeek released its R1 model, over $1 trillion in market cap was wiped from U.S. tech giants—Nvidia alone dropped by $500 billion. This wasn’t just a one-off panic. It was a clear sign that traders were reassessing their forecasts, repricing risk, and hedging against a potential shift in the balance of AI power from West to East.

I’ve seen how quickly sentiment can fluctuate in high-growth sectors, especially when expectations and execution diverge. In January 2025, we saw a textbook case of this. Traders speculated on whether DeepSeek’s efficiency claims were accurate, but regardless of the truth, fear alone triggered a massive selloff. When a new player outperforms expectations or even appears to, it doesn’t just affect direct competitors—it sends a ripple across any stock that traders associate with the trend. That’s why it’s critical to monitor not just DeepSeek, but how the narrative around AI is shifting.

Is DeepSeek AI a Publicly Traded Company?

No, DeepSeek AI is not publicly traded. It’s a private company, fully owned and funded by High-Flyer, a hedge fund based in China. That means there’s no DeepSeek ticker symbol, no IPO filing, and no way to directly buy or sell shares through a retail brokerage.

This kind of setup is common for high-potential tech companies early in their lifecycle. As a trader, you have to adapt your strategy. You can’t buy DeepSeek directly—but you can forecast which public companies are likely to benefit or suffer based on its growth. That’s a form of speculative positioning I’ve taught my students for years. When you can’t trade the main player, you trade the reaction.

DeepSeek AI Stock Price: Pre-IPO

Since DeepSeek hasn’t gone public, there is no official stock price. You won’t find it listed on the NYSE, NASDAQ, or Hong Kong exchanges. The company’s valuation is also unclear, and because it’s private, there’s no requirement for it to release financial data. That adds a layer of risk to anyone trying to estimate its value based on media hype or industry buzz alone.

Over my years trading penny stocks and pre-IPO speculation, I’ve learned how important it is not to confuse attention with accessibility. Just because DeepSeek is trending doesn’t mean you can buy it—or that you should even try to. The right move is to analyze the market’s reaction and predict where that momentum flows. That’s where traders can potentially find opportunity.

When Will DeepSeek IPO?

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There is currently no IPO scheduled for DeepSeek. The company hasn’t announced plans to go public, and given the Chinese regulatory environment and the political implications of a foreign listing, an IPO could be years away—or never happen at all. For now, it remains a hedge fund-backed entity with no public ownership.

That means you can’t buy shares in a traditional brokerage account. But this is where you need to think like a trader, not an investor. The goal isn’t to hold DeepSeek long-term—it’s to speculate on which stocks could react to its next move. Staying alert, tracking sympathy plays, and understanding how news catalysts affect short-term price action is how you protect your capital and position yourself.

It’s important to use a trading platform with real-time data in order to evaluate how stocks are reacting to DeepSeek’s next moves. 

When it comes to trading platforms, StocksToTrade is first on my list. It’s a powerful day and swing trading platform that integrates with most major brokers. I helped to design it, which means it has all the trading indicators, news sources, and stock screening capabilities that traders like me look for in a platform.

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How to Trade in AI Companies Like DeepSeek AI

While you can’t trade DeepSeek directly, you can trade companies tied to its rise. Nvidia, Microsoft, Meta Platforms, and even lesser-known infrastructure providers like Vertiv Holdings are all valid sympathy plays. Each of these companies either competes with, supplies to, or is affected by the market perception of DeepSeek’s cost-saving breakthroughs.

Over the years, I’ve taught traders how to identify and trade sympathy plays—companies that fluctuate in response to a catalyst they’re not directly involved in. In this case, traders are analyzing whether these companies can hold value or need to adjust their pricing models in response to cheaper AI alternatives. You can monitor charts, look for patterns, forecast where the money will rotate, and use those insights to trade short-term trends. The goal here is to not get emotionally attached to the hype but to act rationally and tactically.

Keep in mind that AI isn’t just about software or chipmakers anymore. Some of the most interesting plays are companies that power the backend—cooling systems, power supply chains, or data center infrastructure. These are often overlooked by mainstream traders but can offer cleaner, less volatile setups. I’ve seen this pattern play out again and again with sector trends. Once the big names get too crowded, the money flows to secondary players. For a look at how Claude AI and other developments are impacting sympathy trades, here’s a quick breakdown of Claude-related AI stock setups.

Key Takeaways

DeepSeek AI is not publicly traded, so you can’t buy or sell its stock. But the company’s emergence has already triggered massive moves across AI and tech stocks globally. As a trader, your job is to monitor that movement, analyze which companies are being affected, and decide if there’s a pattern you can trade. Avoid the urge to speculate blindly—focus on sympathy plays with clear volume, catalysts, and trend alignment. Stay disciplined, stay liquid, and always think one step ahead.

Trading isn’t rocket science. It’s a skill you build and work on like any other. Trading has changed my life, and I think this way of life should be open to more people…

I’ve built my Trading Challenge to pass on the things I had to learn for myself. It’s the kind of community that I wish I had when I was starting out.

We don’t accept everyone. If you’re up for the challenge — I want to hear from you.

Apply to the Trading Challenge here.

Trading is a battlefield. The more knowledge you have, the better prepared you’ll be.

Do you get how stocks are reacting to the DeepSeek hype? Write “I’ll keep it simple Tim!” in the comments if you picked up on my trading philosophy!

Frequently Asked Questions

Can DeepSeek’s rise cause other AI stocks to fall?

Yes, DeepSeek’s breakthrough has already caused several major AI stocks to fall as traders priced in the threat of cheaper competition. Stocks like Nvidia and Microsoft saw sharp declines as market participants reacted to the potential disruption. It’s critical to research how connected companies are to AI infrastructure and diversify your watchlist to manage risk when trading high-volatility sectors.

More Breaking News

What happens if current AI leaders begin to underperform?

If leading AI companies begin to underperform due to DeepSeek’s low-cost model, traders may rotate capital into alternative tech names or safer sectors. This shift can create short-term selling pressure and increased volatility across correlated stocks. To respond effectively, monitor sector performance closely and forecast which companies may adapt versus those likely to fall behind.

How should traders research alternatives to DeepSeek?

Traders should research public companies with exposure to AI applications, infrastructure, or partnerships that may benefit from DeepSeek’s open-source model. Look for firms that are innovating, have strong balance sheets, or are actively working to diversify their AI capabilities. Analyzing trends, earnings reports, and market sentiment can help identify where money may flow next.



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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”