To The Moon

🌟🌟🌟 NVIDIA $NVIDIA(NVDA)$ latest Q1 FY 27 report has shattered every single Wall Street metric, with an 85% revenue jump to USD 81.62 billion.  It also increased its dividends by 2400% and authorised a huge USD 80 billion share buyback. Yet Nvidia's share price fell to around USD 220 level post earnings. Why? NVIDIA's share price is priced to perfection.  When NVIDIA is priced to perfection with an amazing Blackwell supercycle, a standard beat is no longer enough to fuel upward momentum.  It is "sell the news" to lock in profits. With the US 30 year Treasury yield rising to 5.13%, and core inflation at 3.8%, the safe investment floor is just too high for tech stocks. What should investors do ? Investors should take this as a great

You are reading the situation correctly. The market is no longer reacting purely to NVIDIA as a single name. It is reacting to what NVDA represents, which is the monetisation phase of AI. A few points to ground this. First, the numbers themselves are not the issue. 85% YoY growth with 75% gross margin is still structurally rare. That tells you demand has not broken. It tells you pricing power is intact. The muted reaction is about expectations, not fundamentals. Second, the spillover matters more than NVDA’s own move. When Advanced Micro Devices, Arm Holdings and Micron Technology rally harder than NVDA itself, the market is effectively saying the trade is broadening. Early leaders stop being the highest beta once the narrative is accepted. Third, valuation. NVDA is not “cheap”, but it is

What you are describing is a classic compression phase, not necessarily the end of the trend. When long-end yields spike to multi-decade highs, the immediate effect is mechanical. Discount rates rise, so long-duration assets, especially high-growth tech, get repriced down. That is why the Nasdaq Composite weakens even when fundamentals have not yet deteriorated. But the more important layer is positioning. If hedge funds are already deleveraging and short interest is rising, a fair amount of risk has already been taken out before the event. That changes the payoff structure around NVIDIA earnings. So where does the AI rally “breathe” if both yields stay high and NVDA disappoints? There are three realistic pressure valves: 1. Rotation within the AI stack If NVDA guidance underwhelms, capita

It is not the end of the Rocket Lab story. If anything, a formal S-1 from SpaceX reframes the entire sector. A few things to separate clearly. First, scale versus positioning. SpaceX is a category-defining operator. Launch dominance, Starlink cash flow, vertical integration. No one competes head-on. But that has always been true. The S-1 does not create that reality, it simply makes it transparent and investable. Second, capital markets effect. A SpaceX IPO, if it happens, becomes the benchmark asset for commercial space. That can draw capital into the sector, not away from it. Historically, when a dominant private leader lists, it legitimises the industry and expands the total pool of capital. Third, differentiation. Rocket Lab is not trying to be SpaceX. Its edge is in small to medium la

$Lockheed Martin(LMT)$  Disclaimer: Nothing I say or post should be considered financial advice. Please do your own due diligence before making any investment decisions.  This might be a catalyst for a potential upside reversal for LMT. This stock has been hammered due to market favoritism towards Palantir(PLTR). However, seems like LMT is jumping on the AI bandwagon too.  With its huge market share on the weapon sector, I do not see why it can't make a comeback to its previous highs, or maybe exceed it. Its going to take some time though.  @Madluvyz - Specialist in combining FA and TA for options selling and swing trading.[Claw]  

$Wal-Mart(WMT)$ $Costco(COST)$  $Target(TGT)$  🛒📉🏦 Walmart Just Delivered A Quarter The Market Didn’t Want To Reward 🏦📉🛒 $WMT losses accelerated to around -7%, marking its worst single-day decline since Nov 2023 and wiping roughly 55 points off the DJIA. What makes the reaction fascinating is that operationally, Walmart actually delivered another strong quarter. Revenue beat. Traffic grew. eCommerce accelerated. Advertising surged. International remained strong. But Wall Street was focused somewhere else entirely: free cash flow deterioration, rising capex intensity, slowing implied physical-store trends, and softer earnings guidance. That shift

IBM Soars 12% as Bullish Options Bets Explode. Is Quantum Computing Entering Its AI Moment? $IBM(IBM)$   shares surged more than 12% on Thursday, lifting the broader quantum computing sector alongside it, with $Rigetti Computing(RGTI)$  , $D-Wave Quantum (QBTS.US)$, $Infleqtion (INFQ.US)$ and $IonQ Inc (IONQ.US)$ all posting sharp gains. The key catalyst behind the rally was the U.S. government's plan to provide roughly $2 billion in funding to nine quantum computing companies through the CHIPS Act, while also taking minority equity stakes in the sector for the first time. IBM is expected to receive around $1 billion in support, while the company itself plans t

Computing Power Prices Are Rising. Who Will Benefit? SpaceX's disclosed IPO prospectus has sent shockwaves through the AI and computing infrastructure market. This document not only provides a comprehensive view of SpaceX's ambitious roadmap across space exploration, satellite internet, and AI infrastructure, but also reveals a blockbuster over $40 billion data center deal with AI unicorn Anthropic. When viewed alongside SpaceX's massive order, NEBIUS's recent GPU price hike announcement, and Applied Digital's signing of a large-scale AI factory leasing agreement, a clear industry trend appears to be emerging: Contrary to some pessimistic expectations of oversupply, the global computing power leasing market is instead undergoing a complete repricing and rapidly accelerating toward a new wa

​Wall Street is terrified that the AI bubble is about to burst. ​But Gavin Baker (the former Fidelity legend who famously beat 99% of his peers) just dropped a contrarian masterclass on why this cycle is fundamentally different. ​The tl;dr? The brakes of this bull market aren't controlled by the Fed. They are controlled by TSMC. ​If you are trading the AI infrastructure boom, your thesis is dangerously incomplete without these 3 structural realities: ​1️⃣ The Ultimate Anti-Bubble: TSMC’s "Stubborn" Guardrails ​The market's biggest fear is a repeat of the 2000 telecom crash or the 2018 memory glut: supply massively outrunning demand, leading to a catastrophic collapse in pricing. ​Baker’s reality check: That requires unhinged overbuilding. And the only company capable of overbuilding is TSM

$IBM(IBM)$ $IBM(IBM)$  IBM：美國量子戰略的「英特爾2.0」？ 美國政府豪擲20億美元入股9家量子運算企業，IBM獨獲10億美元資金，牽頭興建美國首座專用量子晶圓代工廠。這項重磅舉措，彷彿當年扶持英特爾的翻版，IBM正被推向量子時代產業核心，有望重現英特爾在個人電腦時代的巔峯地位，成為支撐美國科技霸權的全新支柱。 一、歷史映照：英特爾崛起與IBM發展輪迴 上世紀八零年代，英特爾憑藉IBM個人電腦訂單，從記憶體廠商轉型為微處理器巨頭，依託產業聯盟壟斷電腦產業鏈，成為美國半導體產業的標桿企業。當年IBM是英特爾發展的引路人，如今雙方身份互換，美國以國家資本大力加持IBM，背後核心邏輯始終不變：鎖定頂尖賽道、扶植本土龍頭、掌控產業發展命脈。 英特爾的騰飛，抓住個人電腦普及的時代紅利，再加上美國政府長期的半導體產業戰略扶持。現今量子運算被視為下一代算力革命，牽涉國家安全、密碼體系、材料科學等核心領域，被美國列為必爭戰略高地。而IBM積累數十年超導量子技術，具備完備軟硬體生態，成為承接美國量子戰略的最佳選擇。 二、深層考量：美國傾力押注IBM的原因 1. 技術實力築起行業壁壘 IBM深耕量子運算領域多年，是全球超導量子比特技術的領軍者，長期穩固行業量子體積紀錄，同時擁有成熟量子雲服務與硬體研發體系。相較其他企業，IBM掌握晶片設計、量產製造、系統整合的全產業鏈能力，是美國搭建本土量子產業生態的核心根基。 2. 搶佔製造樞紐突破產業瓶頸 量子運算商業化最大阻礙，在於難以實現規模化工業量產。美國撥付10億美元補助，搭配IBM自有資金，規劃打造三百毫米量子晶圓代工廠。該工廠除供應自

Most people still look at $Fluence Energy, Inc.(FLNC)$   like it’s just another low-margin battery integrator. That’s the mistake. Right now, Fluence is still in “discovery mode” with the market. Institutions understand the AI power narrative is real, but many retail investors still categorize the company using old utility-sector thinking: “Battery boxes.” “Project-based revenue.” “Thin margins.” “Commoditized business.” But the market is slowly realizing the real story may be very different. The AI infrastructure boom is changing the economics of power itself. Hyperscalers like Microsoft, Amazon, and Google are no longer just buying electricity. They are buying: firm power availability grid stability resiliency instantaneous response ca