$Meta Platforms, Inc.(META)$$Meta Platforms, Inc.(META)$ is still going strong despite last night market fall. Why META is going strong lately? 1. Muse AI is changing the investment story Meta's Muse AI assistant launched on September 8 and attracted significant investor attention. Its reported five million downloads in the first 22 days helped investors see a possible new source of revenue beyond advertising. 2. Investors are becoming more confident in its AI strategy On October 12, Meta unveiled its Muse Wonder AI models, which it says compete with leading AI systems. The launch strengthens the investment narrative, although commercial success remains to be demonstrated. 3. Its existing adve
$NVIDIA(NVDA)$$NVIDIA(NVDA)$ is moving again. It is too late to invest? No — I don’t think it is too late to invest in NVDA. But I would not chase it aggressively at ~$239 either. NVIDIA has just moved back toward record territory, but the underlying business is still growing at an extraordinary rate. Its latest quarter had $96.2B revenue, up 106% YoY, with Data Center revenue up 117%, and management guided the next quarter to $108B ±2%. More importantly, management said it expects FY2028 revenue to grow about 70% and supply constraints could persist through FY2028. My view: Given your existing portfolio is already fairly growth/AI heavy, I’d treat NVDA as a long-term core AI holding, but ente
$Qualcomm(QCOM)$ would you trim if you have $Qualcomm(QCOM)$ ? At the current QCOM price around $202, I would trim modestly rather than exit, especially after the sharp move from the $160–180 area. QCOM jumped about 9.3% on Sept. 21 and closed at $201.97 on Sept. 25. Why I’d trim some 1. The recent rally has caught up with near-term valuation. QCOM is now around 23× trailing earnings / ~20× forward earnings. The current analyst consensus target is about $204, essentially around the market price. 2. The fundamental picture is mixed. The latest quarter showed: * Revenue $9.95B, -4% YoY * Handset revenue -20% * Automotive revenue +61% * Q4 adjusted EPS guidance $2.05–$2.25, below the then-consensu
$Qualcomm(QCOM)$ I have been trimming $Qualcomm(QCOM)$ lately. Is the company lagging behind? Yes — QCOM has been lagging, especially compared with AMD, NVDA and some other AI/semiconductor names. But the important question is why it’s lagging. As of the latest close, QCOM was around $177.72, versus a 52-week high of about $259.92. Its 2026 YTD return was only about +5.5%, compared with roughly +11.8% for the S&P 500. Why QCOM has lagged 1. Smartphone weakness / Apple modem transition This remains the biggest near-term issue. Qualcomm is still heavily exposed to handsets, while Apple is increasingly using its own modem technology. Memory/supply constraints have also pressured the handset ma
$Apple(AAPL)$ would you buy more $Apple(AAPL)$ ? Yes — I would keep AAPL for the long term, but I’m less enthusiastic about adding aggressively at current levels than I am about $Meta Platforms, Inc.(META)$ or some of the semiconductor. Apple’s fundamentals are actually quite strong right now. Its fiscal Q3 2026 revenue was $109.4B, up 16% YoY, with EPS up 29%, and iPhone, Mac and Services all hitting June-quarter records. 🍎 My AAPL outlook Long-term rating: 8/10 — HOLD / ACCUMULATE on pullbacks The interesting thing now is that Apple has several potential catalysts: * iPhone 18 cycle — early demand appears strong. * First foldable iPh
$Meta Platforms, Inc.(META)$ I had bought and sold $Meta Platforms, Inc.(META)$ in a few occasions. I’m bullish on Meta Platforms (META) over the next 12–24 months, but I would expect significant volatility. At around $617, META looks considerably more attractive than it did near its ~$796 high. Why I like META 1. The core advertising business is still very strong. Q2 2026 revenue reached $60.8B, up 28% YoY. Ad impressions increased 14% and average ad price increased 12%—a very healthy combination. 2. AI is already improving the advertising engine. This is important: Meta isn’t simply spending billions hoping AI eventually pays off. Its AI recommendation and advertising systems are improv
$Adobe(ADBE)$$Adobe(ADBE)$ coming back strong. What's going on? I think Adobe (NASDAQ: ADBE) is becoming a buy again, but I would not chase it aggressively at US$293. Buy, but preferably on weakness Adobe has had a remarkable rebound: it was around $190–205 earlier this year and is now around $293. That means some of the easy recovery has already happened. The interesting part is that the business fundamentals are considerably better than the stock’s recent reputation suggests: * Q2 FY2026 revenue reached a record $6.62B, up roughly 13%. * Adobe raised FY2026 revenue guidance to $26.5–26.6B. * AI-first ARR exceeded $500M, reportedly tripling YoY. * Creative and Marketing subscription rev
$Torm PLC(TRMD)$ I hold this stock mainly for dividend, not for growth. Decided to cut some to take profit for now. I did some analysis. TORM is a major product-tanker operator, transporting refined products such as diesel, gasoline and jet fuel. Its earnings are highly sensitive to tanker freight rates. 🟢 What’s attractive 1. 2026 has started very strongly Q1 2026: * TCE revenue: $286M, +34% YoY * EBITDA: $201M, +48% * Net profit: $122M, +94% * EPS: $1.21 * TCE rate: $34,937/day, versus $26,807 a year earlier. That’s a very strong operating environment. 2. The dividend is a major attraction TORM paid $0.70/share for Q1, representing a 58% payout ratio. At roughly $32/share, even a $0.70 quarterly dividend would represent an annualised yield of ab
$SanDisk Corp.(SNDK)$ Will it hit over $2000 soon again? The latest move is largely driven by its Aug. 13 Investor Day, where management gave a much more bullish long-term outlook. What triggered the latest SNDK surge? –2030 — a major change in how investors view SanDisk.* Mid-to-high teens annual revenue growth through FY2028–2030 — a major change in how investors view SanDisk. * ~80% gross margin and ~75% operating margin targeted for FY2028–2030. That’s extremely bullish for a NAND company. * $93.9B of New Business Model (NBM) agreements with eight customers, including three large U.S. hyperscalers. These multi-year agreements make NAND demand much more predictable and reduce the traditional boom/bust nature of the memory business. * AI data-ce