VB

$amat, except for leaders like $mu and $sndk rest are loosers.

$amat. Garbage

Bring on the cherry blossoms, it's the #FirstDayOfSpring! 🌸

Hilke Schellmann, visiting research scholar, joins @trevornoah on the "What Now?" podcast "to examine how artificial intelligence has quietly infiltrated the workplace." 🎧: bit.ly/47wxezB

@ElliotHenr81571 How can I get premium access?

$SNDK At $357 in after hours seems it has had an EXTREME move from $240 a few days ago. Calling a short here to $300. Let's see if I'm right. Definitely overbought.

I need @GEICO to either start hiring or have better customer service because waiting on hold for two hours is ridiculous !!

$NVTS 15-20 Stock PT Navitas just quietly leveled up its silicon-carbide roadmap again. They announced a new ultra-high-voltage SiC portfolio at 2,300 V and 3,300 V, aimed at mission-critical energy infrastructure. This is not “another EV inverter” announcement. This voltage class sits in the heart of: •High-voltage DC transmission and grid-tie converters •Utility-scale solar and wind (multi-MW inverters) •Industrial drives and large motors •Traction, rail, and heavy energy storage systems •Data-center and AI-infrastructure power backbones At these power levels, every fraction of a percent in efficiency matters. Typical silicon IGBT systems in the 2–3.3 kV class run in the 96–97% efficiency range. SiC devices routinely push that to 98.5–99%+, which can cut conduction and switching losses by 40–60% versus legacy silicon in many topologies. What Navitas is doing with this UHV portfolio: •Pushing breakdown voltage to 2.3 kV and 3.3 kV so system architects can reduce the number of devices in series, simplify insulation and creepage design, and shrink overall system complexity. •Leveraging standard SiC advantages at the high end: faster switching, higher junction temperatures, and lower switching losses than IGBTs, which translates into smaller magnetics, smaller cooling systems, and better long-term reliability. •Targeting “always-on” applications where uptime is the whole game. Grid assets, industrial infrastructure, and long-life storage do not get to reboot. Higher reliability and lower failure rates directly hit the TCO line item. From a TCO perspective this matters: •Higher efficiency means less wasted power and lower operating costs over a 10–20 year asset life. •Smaller, lighter power stacks reduce capex on materials, footprint, and often installation. •Longer lifetime and fewer field failures cut maintenance costs and unplanned downtime. Strategically, this does a few things for Navitas: •Moves them further up-voltage and up-value in the SiC stack, right into the utility, infrastructure, and industrial capex cycles. •Broadens their story beyond EV and chargers into national-scale energy infrastructure and data-center power, which are both long-duration capex themes. •Puts them in the conversation with the very small club of players shipping credible 3.3 kV SiC for mission-critical markets. For me, this is one more data point that $NVTS is trying to own the “electrify everything” power stack from the wall all the way up to transmission and AI-scale infrastructure, not just the consumer edge. Not investment advice, just how I’m reading the move. My sentiment BULLISH It’s not a sprint it’s a marathon

@Nordstrom ,after being a member and a card holder for over decade, yesterday was in Shorthills,NJ mall for repair of a Burberry coat and Polo, we were ridiculed and not helped at all!!!, I will make my purchases at Neman Marcus from now!!!

🚨Navitas Semiconductor ( $NVTS), Asya pazarındaki dağıtım ağını güçlendirmek için WT Microelectronics ile stratejik bir ortaklığa imza attı! 🤝🌏 ​Bu iş birliği, Navitas'ın lider Galyum Nitrür (GaN) ve Silisyum Karbür (SiC) güç cihazlarının Asya genelinde tedarik zincirini ve teknik hizmetlerini bir üst seviyeye taşıyacak. ⚡🔋 ​Ortaklık neleri kapsıyor? 🔹 Müşteri etkileşimi ve tasarım süreçlerinde liderlik 🔹 Bölgesel lojistik ve hızlı teslimat 🔹 Güvenilir ürün bulunabilirliği ​Teknoloji dünyasında Asya operasyonları hız kazanıyor! 🚀 ​#Navitas #NVTS #WTMicroelectronics

Wall st clown show just won't leave $MU alone. Pathetic narratives of WS just never end, they need to be educated how AI names work, they are so lost as a group of manipulators. Never ends

Interesting point, $MU’s valuation does seem disconnected from its growth potential. Market often lags in pricing cyclical tech properly, patience can reveal the upside.

@BuyAtSupport Where the f were you this bullish 2 weeks ago?

$NVTS 4 week bullish pennant with an upside breakout.

@NavitasInvestor Where the f all of the ones coming out of woodwork 2 weeks ago?

Navitas (NVTS) isn't just a stock—it's a quiet revolution. While everyone chases AI hype, $NVTS is building the power behind it. Gallium Nitride (GaN) is 10x faster and 3x more efficient than silicon—and Navitas is years ahead of competitors. #NVTS #stocks #semiconductors

@HedgeyeComm What’s your evidence? Your previous posts were debunked by RDDT earnings

$PLTR gets 50% of its revenue from Government. Elon Musk is slashing government spending. Cost of AI software is falling with Deepseek revelations. $GOOG is now allowing its AI platforms to be used for weapons and military. AI software is moving at breakneck speed. Palantir will grow into its valuation in the year 2136.

How many $DJT shares have you bought? President Trump has been fighting for us. Fight back against the deep state and our enemies. Buy stock and invest in truth and our hero @realDonaldTrump if you can afford to appreciate what he’s doing for us. ***Not financial advice just support how you can, it might or might not pay you back financially but give some if you appreciate the biggest fighter for freedom, truth, America and the gospel of Jesus Christ!

@ryancohen @ryancohen please buy some $DJT and help us with the shorts! Make the Stock Market Great Again!

$NVDA I've always said Nvidia is Enron 2.0. Or at least resembled a number of qualities from the 2000s Dot Com Bubble. Here's your AI Bubble. Set to pop before end of 2024.

$NVDA inclusion in Dow would mark the top of this whole AI bubble :) This 140-145 zone on $nvda is what 120-130 was on $smci. Once 130 breaks, 100 will come quick.