4.06K
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10-30 21:54
10/30 Strategy Preview | Tech Stock Confidence Cracking
① What Happened Today Tech earnings blew up across the board. The market is shifting from chasing AI growth to questioning whether high valuations can actually deliver. Based on premarket data, QQQ is down about 2.5%, and the S&P 500 is down about 1%. Tech is the hardest hit: INTC -25%: PC demand worsened, and Q4 guidance came in far below expectations, dragging down AMD, DELL, and HPQ. AMZN -7%: AWS grew 39%, but missed big institutions' ~43% target, raising questions about AI investment returns. SNDK -8%: Revenue wasn't bad, but gross margin and future pricing power missed market expectations. RDDT -20%, RBLX -17%, TWLO -19%: Results or growth guidance disappointed, and the market's tolerance for growth stocks is falling. Also, an oil tanker attack in the Middle East and Houthi-relat
TOPpiyopiyo: The chips explosion in Israel is a one time thing. Still doesn't make sense why intc have to fall so much. Well, the market has been the market for quite some time now
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10-29
Why I Would DCA Into DRAM: AI Needs Memory, Not Just Powerful Chips When people talk about the AI boom, NVIDIA and the latest AI processors usually get most of the attention. But I think there is another part of the AI infrastructure story worth watching: memory. AI models need to process enormous amounts of data, and that creates demand for memory technologies such as high-bandwidth memory (HBM), DRAM and NAND flash storage. As AI workloads become more demanding, memory performance and capacity can become important constraints on the overall system. That is why DRAM is the ETF I would choose for dollar-cost averaging (DCA). Instead of trying to predict which individual memory company will outperform, I can get exposure to a group of companies operating in this part of the semiconductor in
TOPIssue being is that if this cyclical trend is going to stop and become a commodity in the future. Robots as we know as it as physical ai needs memory chips in order to function.
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10-30 11:52
A. AMZN, but I would not rush to catch the first dip. AWS growing around 39% suggests the underlying AI/cloud demand story remains strong. My concern is the other side of the equation: enormous infrastructure spending and deteriorating free cash flow. I would want evidence that AWS growth can eventually outrun the capex required to support it. I am less tempted by INTC because its weak forward guidance points to an operating problem rather than simply market disappointment. SNDK has excellent AI-storage momentum, but after such a huge run this year, strong results may already be heavily priced in. I do not think the AI rally is necessarily running out of steam. The market is becoming more selective. Earlier, AI revenue growth itself was enough. Now investors increasingly want AI growth +
TOPInteresting interesting, I wonder how things will change and where it will be. Interesting interesting, I wonder how things will change and where it will be.
3.48K
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10-30 12:33
Is COIN just leveraged Bitcoin, and what cushions it?
$Coinbase Global, Inc.(COIN)$ The short answer The share price mostly trades like leveraged Bitcoin. Over the last 52 weeks the correlation of weekly returns is 0.82, and COIN's beta to BTC is 1.19 over two years and 1.16 over one year. But the business has a second engine that runs on the Fed, not on crypto: in Q3, $430.6M of $1,215.6M total revenue (35.4%) came from USDC and interest. My read: that is the main cushion, and it is smaller than the "half of revenue is recurring" line suggests, because part of subscriptions and services (staking rewards) still moves with crypto prices. 1. The overlay: early at tops, late at bottoms On weekly closes indexed to COIN's listing week, COIN topped on 18 Jul 2025 and BTC on 3 Oct 2025, so COIN
TOPOn weekly closes indexed to COIN's listing week, COIN topped on 18 Jul 2025 and BTC on 3 Oct 2025, so COIN led by about 11 weeks. In the last bear market BTC bottomed on 25 Nov 2022 and COIN on 6 Jan 2023, about 6 weeks later. The 2026 lows so far fit the same shape: BTC 26 Jun, COIN 31 Jul, about 5 weeks later. Limits: COIN has only one full cycle, so this is n=1, and neither 2026 low may be the real bottom. This is a pattern, not a forecast.
3.63K
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10-30 13:58
$Sheng Siong(OV8.SI)$ The price being sold down today, it looks like the market doesn't like the latest financial numbers. Chart wise, bearish mode. She had broken the support at 2.i5 and is now trading at 2.67, looks rather bearish. She may go down to test 2.60 than 2.50 and below. Pls dyodd. Sheng Siong Group’s net profit increases 1.8% to S$44.6 million for 3Q FY2026 • Revenue rose 6.2% yoy to S$441.5 million, driven by new store openings. • Gross profit margin improved 0.7 percentage points yoy to 32.2% due to a better sales mix. • The Group opened three stores in 3Q FY2026, bringing the total number of new stores opened in 9M FY2026 to seven.
TOPInteresting interesting, I wonder how things will change and where it will be. Interesting interesting, I wonder how things will change and where it will be.
2.90K
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10-30 15:27
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.
TOP1️⃣ 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
2.47K
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10-30 17:00
Micron Fell Below $900. I Think the Market Is Selling the Wrong Question.
$Micron Technology(MU)$
TOPConclusion: only partially. Micron Technology (MU) watchlist ’s October 30 pre-market decline was confirmed by same-day institutional-sized selling , but neither the broader flow trend nor options positioning shows a clean, pre-existing bearish consensus. Price action: MU traded at $886.01 at 09:29 EDT , down 5.17% from the prior $934.27 close, before opening at $883.04. The decline occurred with a broader semiconductor/memory selloff following weak sector sentiment and concerns around AI-infrastructure returns—not an isolated Micron-specific signal. Tiger News Tiger News Fund flows: bearish confirmation for the session. Net flow was -$51.46 million on October 30, led by -$39.76 million in large-order flow and -$15.16 million in medium-order flow . That indicates bigger participants were net sellers into the drop rather than absorbing it.However, the preceding five sessions’ large-order flow was still a cumulative +$80.48 million , so the day’s selling looks more like a sharp risk-o
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10-30 18:27
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 $Alphabet(GOOGL)$ ,
TOPVery detailed analysis of the current market situation. This is valuable information for all investors regardless new or old, big or small. Having insights like this helps everyone understand the situation.
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10-30 19:02
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?
TOPThis looks more like a brutal reset than a 2000 rerun. AI demand is real, the weak names probably die first.
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10-30 19:06
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
TOPI find the semiconductor divergence more interesting than the outright bearish thesis. Rising memory spot prices alongside falling semiconductor equities could mean the market is anticipating a cyclical slowdown, but equities may also simply be repricing after very high expectations. The Russell 2000 thesis looks more compelling to me if Treasury yields continue falling. Smaller companies are generally more rate-sensitive, so sustained lower yields could broaden the rally beyond mega-cap tech. For gold, I would be cautious about chasing either direction. Heavy CTA shorts plus strong upside convexity create the ingredients for a sharp short-covering rally, even if another test toward US$3,850 remains possible. Overall, I would watch three confirmations: semiconductor earnings revisions, the 10-year Treasury yield and whether gold can turn heavy short positioning into an actual price reversal. Positioning alone is not a catalyst.
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10-30 18:09
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
TOPYes when the hype passes it’s the fundamentals and quality companies that will stand the test of time.Yes when the hype passes it’s the fundamentals and quality companies that will stand the test of time.
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10-30 17:38
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)$ $英伟达(NVDA)$ $亚马逊(AMZN)$ $特斯拉(TSLA)$
TOPMy call is sell put on kweb . My friend has been selling put on kweb at $22 $KraneShares CSI China Internet ETF(KWEB)$ keep expiring worthless maybe that’s a way hsi take as it’s still very under valued @TigerStars Not an financial advise do own due diligence
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10-30 16:24
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
TOPthanks for sharing this informative and detailed analysis! is everything that I needed! price targets and entry point listed in a easy to read format!
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10-30 12:36
SK Hynix: A Record Quarter, a 13% Stock Surge
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
TOP80% operating margin is absurdly strong, but HBM pricing and supply discipline decide how long that lasts
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10-30 10:47
INTC Technical Signal Alert — 30 October 2026
$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
TOPThe gap matters, but the bigger issue is whether those manufacturing constraints are temporary or structural. If PC stays soft, does the margin reset last more than a couple quarters?
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10-30 10:56
Nikkei225 - is 63,000 a support or resistance here?
The $Nikkei 225 Index(N225.JP)$ is under pressure this morning, with the Nikkei225 Dec futures falling 2.8% to 62,860 as of 955AM, following overnight US tech earnings disappointment from Amazon and Intel The sell-off comes against a surprisingly resilient domestic backdrop. Japan reported this morning that its September industrial output rose 2.2% from the previous month, well above the 1.2% estimate by the market 🕚Investors now turn their attention to the Bank of Japan's policy decision due at 1100AM Singapore time. While markets broadly expect rates to remain unchanged, traders will be watching closely for any changes in tone regarding inflation, growth, or future policy direction ❓With bearish sentiment from Wall Street colliding with
TOP63k looks more like resistance for now. Japan output beat at 2.2%, yet futures still sank to 62860. That kind of macro divergence usually means sellers are not done
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10-30 14:20
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
TOPPandas Review: AI is having a serious correction. Most fund managers withdraw funds from AI like AAPL & NVDA. So what to do? I recommend looking at credit services like V Visa & MA Mastercard. Or XLF SDPR Financial Services ETF.
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10-30 14:21
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
TOPTSMC for me here. The moat is the process lead and customer stickiness, which usually gives cleaner long term visibility than memory cycles.
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10-30 14:41
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
TOPManagement execution is the whole story here. 22.3% margin plus the HEYDUDE repair made the beat feel way more credible than a random consumer bounce
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10-30 14:56
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
TOP-9.1B FCF against 103% Cloud growth is a bad mix. Until cash conversion shows up, this still looks like AI capex outrunning economics