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POET Technologies Whipsaws As New COO And 2x ETF Stoke Volatility

BRYCE TUOHEYUPDATED MAY. 13, 2026, 5:04 PM ET
Reviewed by Tim Sykesand Fact-checked by Matt Monaco

POET Technologies Inc. stocks have been trading up by 3.42 percent amid heightened optimism over its latest photonics innovation breakthrough.

Candlestick Chart

Live Update At 17:03:36 EDT: On Wednesday, May 13, 2026 POET Technologies Inc. stock [NASDAQ: POET] is trending up by 3.42%! Discover the key drivers behind this movement as well as our expert analysis in the detailed breakdown below.

Quick Financial Overview

POET Technologies is trading like a biotech in the early 2000s — tiny revenue, huge story, and massive volatility. Recent daily candles show POET ripping from $7–$8 in late April to the mid-teens by 2026/05/13, closing that day at $14.37 after touching $14.75. That is close to a 100% move in a few weeks.

On the intraday tape, POET trades in a tight band around $14–$14.50 for most of the session, with steady liquidity and small swings. That tells traders the current move is pausing, not collapsing, at least for now. But the fundamentals are still early stage. POET reported just over $1.0M in revenue, a rounding error for most chip names, and EBITDA of about -$76.9M. Margins are deeply negative, with profit metrics showing heavy losses as the company builds out its platform.

At the same time, POET Technologies carries very little debt and holds roughly $40M in cash, plus large short‑term investments on the balance sheet. The current ratio above 2.0 signals breathing room. For traders, this mix — strong balance sheet, tiny sales, big losses — supports a “story stock” profile where sentiment, headlines, and AI hype drive most of the chart.

Why Traders Are Watching POET Technologies

POET Technologies sits right at the crossroads of two hot themes: AI infrastructure and speculative trading. The company’s technology targets optical engines and light-source products for AI networks and hyperscale data centers. That is exactly where a lot of market imagination is right now. But POET is still in build‑out mode, and the tape reflects that mix of promise and uncertainty.

The headline catalyst this week is the appointment of Dr. Sandeep Kumar as Chief Operating Officer. Kumar spent 18 years at Silicon Labs and served as Senior VP of Worldwide Operations. For POET Technologies, bringing in a seasoned semiconductor operator is not window dressing. His mandate is to lead and scale global operations and, more specifically, to stand up high‑volume manufacturing in Malaysia. Traders who chase AI names often ignore execution. Here, execution is the whole game. If POET can move from small‑batch development to real volume for hyperscale data‑center customers, the story gets a lot more credible.

At the same time, corporate cleanup is underway. POET Technologies expects to be treated as a Passive Foreign Investment Company (PFIC) for 2025 but plans to hand U.S. holders the data to elect Qualified Electing Fund status, avoiding negative 2025 tax surprises. The board also approved a plan to redomicile to the U.S., which would remove PFIC risk going forward. That sort of tax and governance housekeeping does not create revenue, but it can widen the pool of potential U.S. traders willing to hold POET longer than a day trade.

Layered on top of all this, Defiance ETFs launched POEL, a 2x daily long ETF tied to POET Technologies. That product is built for short‑term bullish traders and almost guarantees higher volatility. It does not change POET’s fundamentals, but it does create another vehicle for momentum chasers — which often leads to bigger intraday swings both up and down.

More Breaking News

Conclusion

For all the positive headlines, POET Technologies is not trading like a steady compounder. The stock recently plunged 47.2% intraday to $7.97, a collapse that screams “event‑driven liquidation” or “panic exit.” Around that move, POET also logged a 24.6% surge on one day and a 5.5% indicated premarket drop the next, tied to WallStreetBets attention. That is meme‑style action. Any trader touching this name needs to respect the risk.

Fundamentally, POET Technologies is still pre‑scale. Revenue is tiny. Losses are big. The balance sheet is decent, and the new COO plus Malaysia build‑out show management is serious about moving into production for AI and data‑center customers. The PFIC/QEF work and planned U.S. redomicile reduce structural friction for U.S. traders and clean up a nagging tax issue.

From a trading standpoint, POET is a classic story stock sitting in a red‑hot sector with a brand‑new 2x ETF attached. That combination attracts day traders and swing traders who love volatility but demands tight risk control. As Tim Sykes likes to remind his students, “Volatility is opportunity, but only if you respect your risk and cut losses quickly.” As millionaire penny stock trader and teacher Tim Sykes says, “Cut losses quickly, let profits ride, and don’t overtrade.” POET Technologies fits that philosophy perfectly — high reward potential, high danger, and a chart that will punish anyone who overstays the move. This analysis is for educational and research purposes only and is not trading advice.

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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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”