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POET Technologies Gains Momentum with Major Order and Investment

Bryce TuoheyAvatar
Written by Bryce Tuohey
Updated 10/26/2025, 9:18 am ET | 5 min

In this article Last trade Oct, 24 7:44 PM

  • POET+12.86%
    POET - NASDAQPOET Technologies Inc.
    $8.25+0.94 (+12.86%)
    Volume:  19.56M
    Float:  90.45M
    $7.32Day Low/High$8.59

POET Technologies Inc.’s stocks have been trading up by 13.13 percent driven by positive market sentiment.

Technology industry expert:

Analyst sentiment – positive

As of the latest financial analysis, POET Technologies exhibits a challenging market position reflected by deeply negative profitability metrics, such as an EBIT margin of -2417.1% and a profit margin for total and continuing operations of -11523.04%. Despite posting a revenue of $268,469, the company struggles with severe operating and net losses amounting to approximately $17.26 million. The Price-to-Sales ratio stands at a lofty 1038.71, indicating investors are paying a premium for a dollar of sales, perhaps justifying future growth potential. However, substantial negative cash flows and heavy reliance on stock issuance for financing underscore a precarious financial footing that investors should scrutinize.

Technically, POET’s recent price action reveals volatility, underscored by significant intraday movements. Observing the weekly candlestick pattern, the stock opened at $7.8 and closed at $8.27 on October 24, indicating bullish momentum towards the week’s end despite midweek decline to $7.34. A key support level is observed around $7.34, while $8.37 serves as immediate resistance. An uptick in trading volume supports the upward price movement, implying buyers’ conviction. A recommended trading strategy involves entering a long position as the price closes above $8.37, accompanied by strong volume, setting a stop-loss slightly below the $7.73 level to limit downside risk.

POET Technologies’ future outlook appears favorable, driven by recent catalysts such as a $5 million production order for its 800G optical engines and a record $75 million investment aimed at accelerating AI connectivity solutions. The partnership with Semtech Corporation furthers technological advancement, enhancing POET’s presence in AI and cloud networks. The stock has responded positively to news of these strategic investments, with premarket gains as high as 24%. While POET’s fundamentals lag behind industry benchmarks, these strategic moves reflect a robust growth trajectory and underpin my positive sentiment, contingent on maintaining recent operational advancements.

  • POET Technologies secures a historic $75 million investment to advance AI connectivity solutions, fueling ambitions for acquisitions and R&D expansions.

  • Launch of 1.6T Receiver Optical Engines in collaboration with Semtech targets enhanced capabilities for AI and cloud networks, leveraging cutting-edge optical interposer platforms.

  • Impressive commercial success validated by a significant production order for 800G optical engines, underscoring growing demand for POET’s technology.

Candlestick Chart

Weekly Update Oct 20 – Oct 24, 2025: On Sunday, October 26, 2025 POET Technologies Inc. stock [NASDAQ: POET] is trending up by 13.13%! Discover the key drivers behind this movement as well as our expert analysis in the detailed breakdown below.

Quick Financial Overview

POET Technologies has exhibited solid financial and operational growth, as reflected in its recent performances and strategic moves. The company ended Q2 of 2025 with total assets amounting to $89.68 million, though it faces challenges with substantial total liabilities of $40.31 million. The latest stock performance indicates a favorable trend. Closing at $8.27 on the day, POET’s stock has shown resilience and fluctuating momentum. Recent upward movements in premarket trading are indicative of positive investor sentiment, driven by strategic milestones.

Despite a challenging financial landscape, with profitability metrics such as a negative EBITDA margin, POET is making calculated investments in AI connectivity. The strategic $75 million funding further highlights the company’s commitment to growth through enhanced research, development capabilities, and market development. Expansion efforts include addressing crucial size and cost concerns in AI deployment. Rapid advancements and partnerships underscore an innovative drive that could influence the industry’s competitive dynamics significantly in the coming months.

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.

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Bryce Tuohey

Mentor and Trainer at StocksToTrade.com, Lead Mentor at Small Cap Rockets and To The Moon Report
Bryce’s first pattern was buying into strength in breakouts. But he noticed when they didn’t work, he took bigger losses. When the OTC market got hot, Bryce learned to dip buy the inevitable panics. He adapted his breakout strategy and now buys consolidation and trend breaks. His goal is to have better risk/reward and get an entry before multi-day listed breakouts.
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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 .

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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”

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