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Trading Tips-Tim Sykes Penny Stock

DeepSeek Stocks

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Written by Timothy Sykes
Reviewed by Jack Kellogg Fact-checked by Ellis Hobbs
Updated 1/27/2025 5 min read

I told everyone to watch the market at 7 A.M. Eastern.

That’s when a lot of brokerage accounts open.

And sure enough, Monday morning, we watched stocks related to DeepSeek spike +100%.

In case you hadn’t heard, DeepSeek is China’s answer to OpenAI and ChatGPT.

It was founded by Liang Wenfeng in 2023 as an arm of High-Flyer, a hedge fund that focuses on AI.

DeepSeek is an open source AI that anyone can access. And it just passed ChatGPT as the top downloaded app in the U.S. on the Apple app store.

Another key point to make about DeepSeek: It apparently cost a fraction of the training costs when compared to other AI in the industry. It cost an estimated 10% of Meta’s Llamma.

As a direct result, major U.S. tech stocks took a big hit on Monday.

Everyone’s wondering if the U.S.’s AI market is overinflated because China just created an open source AI at a fraction of the cost. And despite the AI sanctions that the U.S. has against China.

Look at NVIDIA Corporation’s (NASDAQ: NVDA) price action on Monday morning in my post below:

The AI market is in the midst of a major shakeup right now.

There are cheap stocks flying higher. And there’s still time to snag profits.

Trade The Hottest DeepSeek Stocks

© Millionaire Media, LLC

Let me be clear … I’m not trying to find the next NVDA.

These are stocks that I buy and sell, usually within a day.

These are not stocks that I buy and hold. I’m not investing.

The AI market is under a lot of stress right now. That makes for good volatility, but it also makes it difficult to invest.

Luckily, I’m not an investor. I’m a trader.

Instead of investing, we can follow popular patterns on the hottest DeepSeek stocks. Then we cut the trade before the market shifts again.

It’s true, trading can be dangerous.

Most traders lose because they buy and hold without a real plan to get out. They just hope to find a bunch of money in their account the next time that they check.

A solid trade plan is the key to profits.

At any time, prompt my AI trading bot with the hottest DeepSeek stock in the market. It will give you a trade plan as if you asked me directly.

Here are the biggest stock spikes that we’ve already seen related to DeepSeek:

DeepSeek Stock Spikes

At 5 A.M. Eastern on Monday, January 27, Aurora Mobile Limited (NASDAQ: JG) announced that it integrated DeepSeek AI into its platform, GBTBots.ai.

The stock spiked 250%* as a result.

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

JG stock chart
JG chart intraday, 1-minute candles Source: StocksToTrade

I traded this stock during the premarket spike.

My notes are below:

JG stock trade recap
Source: Profit.ly

It wasn’t the only stock to announce DeepSeek news yesterday …

At 8 A.M. Eastern, MicroCloud Hologram Inc. (NASDAQ: HOLO) announced that it would integrate DeepSeek into its holographic AI applications.

The stock spiked 60% after the news.

Take a look at the chart below. Every candle represents one trading minute:

HOLO stock chart
HOLO chart intraday, 1-minute candles Source: StocksToTrade

I traded this stock three times during the spike.

Take a look at my trade notes below:

HOLO stock trades - recap
Source Profit.ly

Both of these stocks are still in play!

And I expect to see more DeepSeek announcements from low-priced stocks in the market. It’s already proven to spike the price for these two stocks.

I bet there are more companies already drafting their own DeepSeek announcements right now 😆

Keep an eye on JG and HOLO this week. And look for the next stock that spikes with DeepSeek news.

Prompt my AI trading bot with any of these tickers for a customized trade plan.

The AI follows my exact trading process. It’s the same process that I’ve used to profit $7.8 million in the market over the last two decades.

Use the AI and my expertise to your advantage!

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”