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MYSZ Stock Jumps As Naiz Fit AI Platform Scales Up Thumbnail

MYSZ Stock Jumps As Naiz Fit AI Platform Scales Up

JACK KELLOGGUPDATED SEP. 15, 2026, 7:48 AM ET
Reviewed by Tim Sykesand Fact-checked by Ellis Hobbs

My Size Inc. shares surged as investors reacted to the most impactful news, and stocks have been trading up by 48.8 percent.

Key Takeaways

  • Shares of My Size Inc. (MYSZ) ripped more than 43% after the company posted its latest Q2 financial results.
  • The Naiz Fit platform has now delivered over 500 million size recommendations for apparel shoppers worldwide.
  • MYSZ is turning Naiz Fit into a broader AI-driven Size & Fit intelligence and virtual try-on platform.
  • The Naiz Fit engine pulls data from 10 million+ users, 100 million+ garments, and 100+ fashion brands including Levi’s, Desigual, Paul & Shark, and Silbon.

Candlestick Chart

Live Update At 07:47:43 EDT: On Tuesday, September 15, 2026 My Size Inc. stock [NASDAQ: MYSZ] is trending up by 48.8%! Discover the key drivers behind this movement as well as our expert analysis in the detailed breakdown below.

Quick Financial Overview

MYSZ is acting like a classic high-volatility small-cap — ugly bottom-line numbers but strong growth hooks that momentum traders love. My Size Inc. reported Q2 2026 revenue of about $3.07M, with a gross margin near 29.7%. That means MYSZ keeps roughly $0.30 of every $1 in sales after direct costs, a decent figure for a tech-enabled platform.

The problem side is clear too. Net income for the quarter came in around -$1.75M, and EBITDA was about -$1.62M. Return on equity and return on assets are deeply negative, showing MYSZ is still burning cash to chase growth. Cash on hand stood near $453,000 against total liabilities of about $4.14M, so the balance sheet is thin and highly levered to execution.

On valuation, though, My Size Inc. looks cheap on some metrics. A price-to-sales ratio near 0.11 and price-to-book near 0.54 suggest the market is still discounting the story. For traders, that gap between rough financials and low valuation, combined with fresh AI news, creates exactly the kind of speculative setup where price can move fast in either direction.

Why Traders Are Watching MYSZ Right Now

MYSZ just delivered the kind of catalyst that wakes up small-cap screens across the trading world. After the company released Q2 results, My Size Inc. stock spiked more than 43%, signaling aggressive buying and short-term momentum. For day traders and swing traders, that kind of move is a loud siren.

The fundamental driver here is Naiz Fit. My Size Inc. announced that Naiz Fit has generated over 500 million size recommendations. That is real usage at scale. The platform taps into data from more than 10 million users, over 100 million garments, and 100+ brands, including names like Levi’s, Desigual, Paul & Shark, and Silbon. When traders see that kind of data moat tied to AI buzzwords, they pay attention.

MYSZ is also repositioning Naiz Fit from a simple size-recommendation tool into a broader AI-driven Size & Fit intelligence and virtual try-on platform. In plain English, My Size Inc. wants Naiz Fit to be the brain that helps fashion brands reduce returns, improve fit, and give shoppers a virtual fitting-room experience. That narrative fits perfectly with e‑commerce pain points.

The charts back up the story. Daily candles show MYSZ trending down from the mid‑$2s toward the mid‑$1s, then reacting sharply higher around the news — classic “capitulation then catalyst” behavior. Intraday, the 5‑minute chart reads like a momentum textbook: a premarket rip from roughly $2.50 to above $3.00, followed by fast swings between $2.70 and $2.90 as traders battled for control. For active traders, MYSZ is now a proven runner with a clear news driver.

Conclusion

For traders, MYSZ sits at the crossroads of weak current profitability and strong speculative potential. My Size Inc. is not a clean fundamental story yet — losses are large, returns on capital are deep in the red, and the balance sheet leaves little room for big mistakes. But the Naiz Fit numbers are real and impressive: 500 million+ recommendations, millions of users, and more than 100 branded partners feeding the AI engine.

That scale gives MYSZ a credible shot at becoming a niche leader in AI-driven size and fit technology. If My Size Inc. can translate Naiz Fit’s data advantage into higher-margin recurring revenue and lower churn for partner brands, the market may continue to re-rate the stock from its previously depressed valuation levels. At the same time, the volatility is the trade. A name that can jump more than 40% on one catalyst can also retrace hard when the hype cools.

This is exactly the kind of setup Tim Sykes and his community study: liquid enough to trade, volatile enough to move, and powered by clear news. As Tim likes to say, “The pattern is the past repeating itself, but only for traders who are prepared.” As millionaire penny stock trader and teacher Tim Sykes says, “Cut losses quickly, let profits ride, and don’t overtrade.”. For anyone watching MYSZ, that means treating My Size Inc. as a trading vehicle, respecting the risk, and letting the chart — not the story — dictate entries and exits.

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.

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:

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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”