I prefer SOXX or SOXQ for broader semiconductor exposure rather than betting everything on DRAM. AI growth is exciting, but I believe cash flow is becoming increasingly important. Companies must prove that massive AI infrastructure spending can translate into sustainable revenue, operating margins and free cash flow. 1️⃣ Why am I making this trade now? AI demand remains strong, but valuations and interest-rate risks deserve attention. 2️⃣ What’s my plan from here? I would DCA into semiconductor ETFs and monitor earnings, cloud spending and free cash flow. If AI capital expenditure rises but revenue growth slows, I would reconsider my bullish outlook.
Micron Fell Below $900. I Think the Market Is Selling the Wrong Question.
$Micron Technology(MU)$ Micron has fallen from almost $1,000 to around $896 pre-market. Again. And I can already feel the frustration among MU investors. SK Hynix posts extraordinary numbers. Memory remains scarce. AI data-centre demand remains enormous. SanDisk reports explosive datacentre growth. Micron itself is producing extraordinary margins. Yet MU falls. So naturally investors are asking: WHAT IS WRONG WITH MICRON? My answer? Less than the stock price suggests. But something HAS changed. Wall Street has moved one level higher in the AI supply chain. The question is no longer: “Is memory demand strong?” We already know it is. The new question is: “CAN THE COMPANIES BUYING ALL THIS MEMORY KEEP SPENDING?” An
I see the recent tech selloff as an opportunity to start screening quality companies, but I do not think we can call it a confirmed bottom yet. I remain positive on the long-term AI story, especially companies with strong competitive advantages and sustainable earnings. My focus is on individual stocks rather than buying the entire $Invesco QQQ(QQQ)$ basket blindly. I want to see whether revenue growth can translate into stronger free cash flow, while keeping an eye on valuation, capital expenditure and debt. A lower share price does not automatically mean a stock is cheap. I prefer to accumulate gradually on meaningful pullbacks rather than rush in with a lump sum. I am watching $Alphabet(GOOGL)$ ,
Global Tech Plunges. Is today going to be a Blackiest Friday? After the spectacular AI related collapse yesterday, everyone is waiting for the market open with baited breath. As it is, at overnight and pre-market trading, things does not look encouraging. What is on people's mind now is if what Elon Musk predicted about most AI companies dying like guppies will come true. Is this the start of the repeat of 2000? The AI version of the Dot.com bust?
Livestream Highlights: Semiconductors Echo the Dot-Com Buibble, Trade the Post-Midterm Low
Last night, I hosted a futures livestream on Tiger Brokers covering changing trends in semiconductor stocks and US equity indexes, along with trading ideas for gold and silver. If you missed the live session, you can watch the course replay here >> 半導體股已見底還是跌勢剛開始?股指新一輪大行情正在醞釀 Next, I will categorize and summarize the course’s most important information and trading insights. This should help investors who did not have time to attend the class quickly understand my current market views. First, a brief personal introduction: My Professional Background Gu Mingzhe is a guest strategy instructor for CME, an instructor for the Singa
4 Daily Charts to Watch: $AAPL, $MU, $META & $GOOG
Four major stocks are showing very different technical setups. Some are flashing bearish signals, while others may be approaching a relief bounce. 🔴 $Apple(AAPL)$ — Watch the 20DMA at 341 • A second shooting star has appeared near the upper Bollinger Band within just five trading sessions. • A pullback toward the 20-day moving average, currently around 341, looks increasingly likely. • The unfilled gap at 347 could act as near-term resistance. ⚠️ Be careful chasing the extended-hours rally. The daily chart is showing signs of exhaustion. 🔻 $Micron Technology(MU)$ — Bearish Rejection at the 20DMA • Price was rejected at the 20-day moving average. • A move toward the lower Bollinger Band, currently around 814
Technical Edge: Nasdaq Bears Press On as Support Emerges! Hang Seng Stabilizes at a Key Level
Hello everyone! Today we will review the latest technical developments in the Nasdaq, Hang Seng Index, Singapore Straits Times Index, WTI crude oil, gold and silver. Market performance remains divergent, with rebound attempts and downside pressure occurring at the same time. We will combine fundamentals with technical structures to identify key support, resistance and the conditions required to confirm the next move. Nasdaq: Bearish Structure Persists; Watch Key Support Below 美光科技(MU)$$英伟达(NVDA)$$亚马逊(AMZN)$$特斯拉(TSLA)$
5 Stocks on My Radar After the Selloff: $RDDT, $NOW, $INTC and More
The market is punishing earnings disappointments and uncertainty around AI spending. Several high-profile stocks have suffered sharp declines, but I'm not rushing to sell. I'm watching key support levels, long-term buy zones and opportunities to build positions. Here's my latest watchlist 👇 🚨 1. $Reddit(RDDT)$ — Down 15%, But Sitting on Major Support $RDDT plunged roughly 15% after hours following weaker-than-expected earnings. Investors are panicking, but the stock is approaching one of its strongest long-term support zones. The last time it tested this area, $RDDT rallied more than 125% over the following year. History doesn't guarantee a repeat, but this is a level I'm paying close attention to. 📉 2. $Servi
SK Hynix reported quarterly revenue of 104.6 trillion won and operating profit of 83.3 trillion won, with an operating margin approaching 80%. Yet net income plunged 58%. Despite the sharp decline in net income, the company’s U.S.-listed shares surged 13.3% on Oct. 28, while its South Korean shares rose 10.89%. The rally extended across the semiconductor sector, lifting Samsung Electronics 9.01%, Micron Technology 5.86% and SanDisk 7.66%. The market’s reaction reflected confidence in SK Hynix’s underlying operating performance rather than its headline net income. Strong shipment guidance, rising memory prices and progress in high-bandwidth memory (HBM) reinforced the company’s position in the AI supply chain. But the results also raise broader questions. How sustainable are its extraordina
$INTC High-significance bearish gap risk Catalyst: Q3 earnings and weaker-than-expected Q4 guidance, released 29 October US time. Intel fell sharply after hours following its earnings release. Reuters reported a decline of approximately 23%; another market-data source showed $70.86, down 23.04% from the $92.07 regular-session close. Other snapshots showed higher after-hours prices, so the exact price depends on the timestamp. Regular-session close, Oct 29 $92.07 Reported after-hours low snapshot $70.86 What the technical evidence says 1. The earnings gap is the primary signal. Confirmed: Q4 revenue guidance of $15–16 billion fell short of analyst expectations of approximately $17 billion. Intel also cited manufacturing constraints and ongoing PC-market weakness. Volume: Regular-sessi
Big Tech Earnings Weren’t Enough: What Could Restart the Semiconductor Rally?
Semiconductor stocks have not responded to Big Tech earnings in the way investors might have expected. Despite continued investment in AI infrastructure, chip stocks remain under pressure, with the iShares Semiconductor ETF still more than 20% below its record high. The latest earnings have highlighted an important distinction: strong AI spending does not automatically mean every semiconductor company will benefit equally. Microsoft and Alphabet have both demonstrated significant demand for cloud and AI services, but their results also raise questions about the scale of investment required and how quickly that spending can generate returns. For chipmakers, the market needs more than announcements of larger AI budgets. It wants evidence that those budgets are becoming orders, shipments and
Stock Pair of the Day: TSMC vs Micron – Which Semiconductor Stock Has More Upside?
Big Tech earnings have failed to give semiconductor stocks the boost many investors expected. Despite continued AI investment, chip shares remain under pressure as the market questions whether current spending levels can translate into sustainable earnings growth. Two companies worth watching are Taiwan Semiconductor Manufacturing (TSM) and Micron Technology (MU). Both have delivered strong results, but their businesses offer different ways to participate in the AI boom. 1. TSMC (TSM): The Manufacturing Backbone TSMC is one of the most important companies in the global semiconductor industry. It manufactures advanced chips designed by companies such as Nvidia and AMD. Its latest third-quarter results showed revenue growth of 41.2% year over year, while earnings per ADR increased 57.5%. Str
Crocs Jumped 25%. I Don't Think This Is a Consumer Recovery Trade.
Tech was getting hammered. Amazon fell. Intel collapsed. AI names were under pressure. And then a shoe company suddenly exploded almost 25% higher. Crocs. The easy conclusion is: “Money is rotating from tech into consumer stocks.” I don't think that is what happened. In fact, Crocs management gave us an important warning: The low-end consumer is still weak. So why did CROX explode? Because I think the market is beginning to reward something very different: SELF-HELP. Crocs did not need the economy to suddenly become wonderful. It fixed the part of its own business investors had almost given up on. And that creates a much more interesting investment lesson than simply: Consumer stocks are back. 🔵 THE HEADLINE NUMBERS WERE GOOD Crocs delivered Q3 revenue of: $1.04B, +4.6% Adjusted EPS: $3.69
Alphabet Lost $500B. I Think Wall Street May Be Measuring the Wrong Cash Burn.
Alphabet just suffered its worst one-day percentage decline ever. Roughly 12.6% gone. About $500B of market value erased. And the contradiction inside the earnings report was extraordinary. Google Cloud revenue: +103% to $30.7B. Cloud backlog: $561B Yet Alphabet's free cash flow: NEGATIVE $9.1B. How can a company double its fastest-growing major business and simultaneously start burning cash? The obvious answer is: Alphabet is spending too much on AI. That is partly true. But I think it misses something much more interesting. Google is quietly changing what kind of company it is. And one clue buried inside the quarter explains why its cash-flow profile may never look exactly like old Google again. That clue is: TPU SYSTEMS. 🔵 OLD GOOGLE HAD A BEAUTIFUL BUSINESS MODEL For years, Alphabet's
5 best Daily Charts and Insights: Short interest in the QQQ Nasdaq ETF has surged
1. Q3 GDP Spending on data centers & computers is now America's single largest investment by far: 50% larger than single-family home construction, 3x factories, or 6x apartments 2. PCE AI-driven inflation in core PCE is slowing finally. 3. AAII Sentiment Survey The AAII bull-bear spread's 52-week moving average has been negative for 72 consecutive weeks, the third-longest streak on record. $S&P 500(.SPX)$ is +29% over this period. The two streaks that lasted longer were 2008-10 and 2022-23. 4. Low Vol crowding. The cautious backdrop (hyperscaler earnings, $Anthropic(ANT)$ S-1, Brazil, midterms, etc) has coincided with a further shift toward defensive positioning, with crowding in the
Technology de-risking put cash returns at the centre of the debate
The $Invesco QQQ(QQQ)$ fell 1.42 per cent on Thursday and the $S&P 500(.SPX)$ declined 0.30 per cent. $Amazon.com(AMZN)$ closed down 4.25 per cent and fell about another 7 per cent after its results. Microsoft slipped just 0.16 per cent, while Meta gained 1.96 per cent. Companies making large AI investments were no longer trading as one group. Amazon reported third-quarter revenue of $201.9 billion, up 12 per cent, and earnings of $1.89 a share. AWS revenue grew 39 per cent to $46.0 billion, while operating income rose 55 per cent to $17.8 billion. The issue was cash generation: trailing 12-month free cash flow s
$VT$$Invesco QQQ(QQQ)$ If you invested $1,000 in the Invesco QQQ Trust 10 years ago, your investment would be worth more than $6,700 today. So please DCA with QQQ - it's a no-brainer. Key Details of the Growth Total Return: Around 571% over the 10-year period (with dividends reinvested). Annualized Return: A compound annual growth rate (CAGR) of roughly 21%. Market Outperformance: QQQ significantly beat the S&P 500 index over the same timeframe. Main Growth Drivers: The fund’s heavy concentration in mega-cap technology and artificial intelligence leaders—such as Nvidia, Apple, and Microsoft—pushed these gains
S-REIT Rents Are Rising, But Distributions Tell a Different Story
As of the morning session on 30 October, 24 S-REITs (including property trusts) had released results or business updates for periods ended 30 Sep, representing just over three-fifths of the 39 actively traded trusts. The releases span quarterly, half-year, nine-month and full-year periods. Positive rental reversions were a common feature: 19 of the 20 trusts reporting numerical measures recorded at least one positive portfolio, market or segment figure. The measures cover different reporting periods and lease scopes and do not measure total portfolio rental-income growth. Singapore’s REIT sector spans domestic malls and offices alongside overseas logistics, data centres and rental housing, exposing portfolios to different leasing cycles. Higher renewal rents can support income as leases co
$SPX Selloff Deepens as Tech Weakness and Rate-Hike Fears Hit Markets
The market declined today, driven by tech weakness and a sharp surge in December rate-hike odds. $Alphabet(GOOG)$ plunged -12.3% on weaker than expected revenue growth in its core search business, reigniting Wall Street anxieties over immediate returns on massive AI infrastructure investments. The weakness rippled across software and infrastructure peers: $ServiceNow(NOW)$ plummeted -27%, $Frontier Asset Total International Equity ETF(FINT)$ tumbled 20%, and $Microsoft(MSFT)$ succumbed to broader market pressure, closing lower despite reporting a strong quarter. Macro headwinds compounded the selloff. Hot inflation data a