To The Moon

The memory trade is heating up again, but the biggest question is whether strong industry results can translate into another round of earnings surprises. On Wednesday, $SK Hynix(000660.KS)$ surged 13.30%, $Micron(MU)$ gained 5.86%, and $SanDisk(SNDK)$ climbed 7.66%. The rally followed record results from SK Hynix and encouraging profit guidance from Samsung, strengthening expectations that the memory upcycle still has room to run. The numbers are striking. SK Hynix reported KRW 104.6 trillion in revenue and KRW 83.3 trillion in operating profit. Samsung guided for KRW 195 trillion in revenue and KRW 107.4 trillion in operating profit. These are Samsung’s preliminary guidance figures, not final reported results. Now attention turns to SanDisk, which is scheduled to report earnings early Fri

AI’s biggest risk may not be slowing growth, but the rising cost of sustaining it. Investors celebrate accelerating revenue and cloud demand, yet overlook the billions needed to build data centers, purchase chips and secure computing capacity. Revenue growth alone cannot prove that an AI business creates economic value. The real test is whether incremental revenue generates enough operating cash to cover capital expenditure while delivering attractive returns on invested capital. This explains why AI leaders can receive different market reactions despite strong earnings. Investors are pricing tomorrow’s profitability, not just today’s growth. If spending rises faster than cash generation, impressive results may disappoint. My focus is on free cash flow, capital expenditure efficiency and

Memory chips, oil prices, Treasury yields and corporate earnings can seem like separate stories. Their connections become clearer when you trace how demand becomes revenue—and how much of that revenue ultimately turns into cash. Focus on the sources of growth, the spending needed to support it, and the cash left over. Valuation then helps explain why companies exposed to the same theme can offer different opportunities and risks. Here are the nine themes in our accompanying graphic, with a closer look at what to track. 01 | Memory: Read demand, pricing and capacity together For AI-related memory demand, watch whether orders become revenue, whether pricing supports margins, and when new capacity comes online. The relative pace of demand growth and supply expansion helps determine how long f

$SK海力士(SKHY)$  

AI infrastructure spending is creating an unusual situation in the semiconductor industry. Memory, traditionally viewed as a cyclical business vulnerable to oversupply, is becoming a critical part of the AI investment story. SK Hynix’s reported third-quarter revenue of ₩104.6 trillion and operating profit of ₩83.3 trillion highlight the extraordinary profitability described in the latest market update. Seagate also delivered strong results, reporting $4.23 billion in revenue and $1.5 billion in free cash flow, while Teradyne exceeded expectations. The rally is no longer just about GPUs. It increasingly includes the memory, storage and testing equipment required to support expanding AI infrastructure. But record results create a difficult question for investors: Are these companies benefiti

The AI investment cycle is creating opportunities well beyond GPUs. Memory chips, enterprise storage and semiconductor testing equipment are increasingly important as data centres expand to support larger AI models and growing computing workloads. SK Hynix rose 1.92% after reporting record third-quarter revenue of ₩104.6 trillion and operating profit of ₩83.3 trillion, alongside expanding shipments of next-generation HBM4 memory. Meanwhile, Seagate exceeded expectations with $4.23 billion in revenue, non-GAAP EPS of $7.68 and $1.5 billion in free cash flow. Teradyne also delivered results above expectations. Together, these developments highlight a broader trend: AI infrastructure spending is creating demand across several parts of the semiconductor and storage supply chain. But after such

SK Hynix is weighing a 16 trillion won (~$12 billion) special dividend to distribute roughly 80% of the 20 trillion won in one-off gains booked from its Kioxia stake sale in the first half of 2026, alongside a broader capital return package (potentially totaling 50 trillion won to 60 trillion won) that may include share buybacks. In this article, we would like to cover the following areas to help us understand whether $SK hynix(SKHY)$ SK Hynix turns Kioxia gains into cash, is it a windfall or better capital returns? Kioxia Divestment Breakdown: Analyzes the monetization of the ₩20 trillion gain, explaining why distributing 80% (₩16 trillion) avoids capital misallocation and preserves funds for HBM/memory CapEx. Total Capital Package Deconstruction

My focus is C: waiting for confirmation of orders and cash flow. AI infrastructure creates two opportunities. SK Hynix benefits from high-bandwidth memory and premium pricing. Seagate benefits from growing data-storage needs. However, record earnings do not guarantee attractive valuations. SK Hynix faces rising capital expenditure and future supply expansion, while Seagate’s margins depend on pricing discipline and HAMR adoption. The key question is whether profits remain sustainable as competitors expand capacity. Seagate’s $1.48 billion quarterly free cash flow is encouraging, while SK Hynix’s long-term customer agreements improve demand visibility. My conclusion: AI storage is becoming a real earnings story, not merely a market narrative. I would prioritize sustainable cash flow, pricin

AI infrastructure spending is showing up in storage companies’ financial results. $Seagate Technology PLC(STX)$ $SK hynix(SKHY)$ On October 28, SK Hynix released its third-quarter 2026 earnings. Seagate reported its fiscal first-quarter 2027 results after the U.S. market closed on October 27. Both companies delivered strong operating results. Their shares reacted differently: reports captured SK Hynix’s Korean-listed shares rising nearly 3% during the session, while Seagate fell approximately 6% in after-hours trading. What stands out to me is that demand for memory and mass-capacity storage is translating into revenue, profitability and cash flow. Investors now have to asse

$MU$   Apple (AAPL) and Micron (MU) Stock News Key Drivers & Context • Memory Cost Pressures: Apple CEO Tim Cook has highlighted rising component and memory costs tied to intense AI-driven demand, prompting Apple to test alternative suppliers such as China's ChangXin Memory Technologies (CXMT) for select regional markets. • Micron Performance & Outlook: Micron continues to experience strong enterprise and AI-related memory demand with high gross margins, even as shares see bouts of volatility and profit-taking following a sharp multi-month rally. • Upcoming Catalysts: Apple is preparing for its upcoming product announcements and quarterly earnings report, which investors are wat

【Money Market Fund】 US$ MMF Net 7-day Yield: +3.70%* During the week, US Treasury yields moved lower across the curve over the past week as concerns around AI-related equities outweighed the impact of higher oil prices, which led to a rise in safe-haven demand. With the FOMC in its pre-meeting blackout period, markets saw only less than 10% probability of an October rate hike, showcasing broad expectations that Fed remain on hold in October. Looking ahead, attention turns to the 28 October FOMC meeting. * 7-day net yield is calculated based on calendar days and NAVs in 5-decimal. 【REITs】 $CSOP iEdge SREIT ETF S$(SRT.SI)$ YTD total return: -9.07% As of 23 Oct 2026, SRT gained 1.49% WTD, bringing its YTD total return to-9.07%. WTD gains were led

As $SK hynix(SKHY)$ SK Hynix prepares to report its third-quarter financial results on Wednesday, October 28, 2026, $Samsung Electronics Co., Ltd.(SSNLF)$ Samsung Electronics steps up immediately afterward to take the baton in the global memory earnings week. In this article, we would like to share an analysis that evaluates memory pure-plays, peripheral chip leaders, ETF strategies, and the $Philadelphia Semiconductor Index(SOX)$ iShares Semiconductor ETF (SOX) outlook. 1. The Global Memory Super-Cycle Setting The global semiconductor industry stands at a pivotal juncture in late 2026. The memory landscape has undergone a fundamental structural shift: standard c

Rollercoaster mode: ACTIVATE! If you’ve been looking at your tech portfolio recently, you might be wondering if the AI hype train just derailed. Micron, Nvidia, Broadcom, and friends took a bit of a tumble! Before anyone panics and sells their GPU collection, let’s unpack what’s actually happening: 1. First time? (Spoiler: It’s not!) If you think this is the first time AI and memory stocks have tanked, welcome to tech investing! Even during mega bull runs, these stocks regularly pull back 20% to 30%. It’s not a bug; it’s a standard feature. AI giants like Nvidia have survived dozens of these "shake-outs" on their way up, and memory chipmakers take investors on this exact wild ride all the time. 2. The Memory Market is the ultimate Drama Queen Memory stocks (DRAM, NAND, HBM) are historicall

Memory is waking up again. SK Hynix +4.05% Friday. Micron +2.46%. And Monday pre-market: MU ~$901 SNDK ~$1,267 But this week's earnings are about something much bigger than which memory stock beats estimates. For months, the memory bull case has rested heavily on one product: HBM. AI accelerators need enormous amounts of high-bandwidth memory, supply remains constrained, and SK Hynix and Micron have benefited enormously. But for the next leg of the memory trade to become broader and more durable, I want evidence that strength is spreading. HBM → DRAM → enterprise SSD → NAND → storage This week may finally tell us whether that is happening. 🟢 SK HYNIX: THE HBM BENCHMARK SK Hynix reports first. I care less about whether EPS beats consensus and more about three questions: 1. Is HBM demand sti

$MU$   Key Drivers & Context • Memory Cost Pressures: Apple CEO Tim Cook has highlighted rising component and memory costs tied to intense AI-driven demand, prompting Apple to test alternative suppliers such as China's ChangXin Memory Technologies (CXMT) for select regional markets. • Micron Performance & Outlook: Micron continues to experience strong enterprise and AI-related memory demand with high gross margins, even as shares see bouts of volatility and profit-taking following a sharp multi-month rally. • Upcoming Catalysts: Apple is preparing for its upcoming product announcements and quarterly earnings report, which investors are watching closely for margin and hardware co

The Hang Seng TECH Index (HSTECH) edged higher in early trading on Wednesday (14 Oct), rising around 1.6% as of the lunch close. This lifted the HSTECH 7x Long DLC (XQ4W) by more than 11%, while the HSTECH 7x Short DLC(9B2W) declined by a similar magnitude. $HSTECH(HSTECH)$ has declined around 25% year-to-date and recently touched 4,065, returning close to levels last seen before Beijing’s September 2024 stimulus-driven rally. In the past three weeks, HSTECH has fallen 6.8%. Over the same period, the HSTECH 7x Short DLC(9B2W) gained around 48%, while the HSTECH 7x Long DLC (XQ4W) fell around 45%. Among the today's top gainers were $XIAOMI-W(01810)$ , $MEITUAN-W(0

My conviction is lower, but not broken. CXMT changes the long-term risk premium for memory. If it can turn 4F² into competitive, high-yield mass production, Chinese supply could eventually pressure conventional DRAM pricing and challenge the industry's current structure. But announcing an architecture is very different from producing server-grade DRAM economically at scale. Yield, reliability, customer qualification and volume are the real tests. Until CXMT demonstrates those, I see the sell-off as the market pricing in a credible new risk rather than proof that the memory cycle has fundamentally changed. Hock Tan's warning matters too. If capital becomes the constraint on AI build-outs, demand expectations could cool even before new Chinese supply arrives. So I would still hold quality me

The AI hardware trade just got hit with two reality checks simultaneously: a structural supply-side threat out of China and a demand-side paradigm shift from Broadcom. Here is the breakdown of what actually changed, what’s noise, and whether memory conviction should hold. 1. The Supply Shock: CXMT’s 4F2 DRAM Breakthrough The Announcement ChangXin Memory Technologies (CXMT) unveiled progress on a 4F2 DRAM architecture, aimed at server/datacenter memory by end-2026. Standard 6F2 Architecture: [ Cell Area: ~6F² ] --> Scaling limit nearing CXMT 4F2 Target: [ Cell Area: ~4F² ] --> ~30-50% die size reduction Why Wall Street Freaked Out * Density Advantage: A shift from 6F2 to 4F2 design theoretically reduces cell area by roughly 30% to 50%, yielding significantly more dies per wafer withou

Hock Tan said the truth and yet Zuckerberg announced to spent even more money on AI. While Meta and Google are making good money from their AI optimized ads, OpenAI and Anthropic haven’t found a profitable business model. The cheaper open Chinese models are forcing them to lower the prices even further while newer models get better. It’s a race to the bottom, AI is already a commodity!

$SanDisk Corp.(SNDK)$ sell. Bubble popping

The memory trade is heating up again, but the biggest question is whether strong industry results can translate into another round of earnings surprises. On Wednesday, $SK Hynix(000660.KS)$ surged 13.30%, $Micron(MU)$ gained 5.86%, and $SanDisk(SNDK)$ climbed 7.66%. The rally followed record results from SK Hynix and encouraging profit guidance from Samsung, strengthening expectations that the memory upcycle still has room to run. The numbers are striking. SK Hynix reported KRW 104.6 trillion in revenue and KRW 83.3 trillion in operating profit. Samsung guided for KRW 195 trillion in revenue and KRW 107.4 trillion in operating profit. These are Samsung’s preliminary guidance figures, not final reported results. Now attention turns to SanDisk, which is scheduled to report earnings early Fri

Memory chips, oil prices, Treasury yields and corporate earnings can seem like separate stories. Their connections become clearer when you trace how demand becomes revenue—and how much of that revenue ultimately turns into cash. Focus on the sources of growth, the spending needed to support it, and the cash left over. Valuation then helps explain why companies exposed to the same theme can offer different opportunities and risks. Here are the nine themes in our accompanying graphic, with a closer look at what to track. 01 | Memory: Read demand, pricing and capacity together For AI-related memory demand, watch whether orders become revenue, whether pricing supports margins, and when new capacity comes online. The relative pace of demand growth and supply expansion helps determine how long f

AI’s biggest risk may not be slowing growth, but the rising cost of sustaining it. Investors celebrate accelerating revenue and cloud demand, yet overlook the billions needed to build data centers, purchase chips and secure computing capacity. Revenue growth alone cannot prove that an AI business creates economic value. The real test is whether incremental revenue generates enough operating cash to cover capital expenditure while delivering attractive returns on invested capital. This explains why AI leaders can receive different market reactions despite strong earnings. Investors are pricing tomorrow’s profitability, not just today’s growth. If spending rises faster than cash generation, impressive results may disappoint. My focus is on free cash flow, capital expenditure efficiency and

The AI investment cycle is creating opportunities well beyond GPUs. Memory chips, enterprise storage and semiconductor testing equipment are increasingly important as data centres expand to support larger AI models and growing computing workloads. SK Hynix rose 1.92% after reporting record third-quarter revenue of ₩104.6 trillion and operating profit of ₩83.3 trillion, alongside expanding shipments of next-generation HBM4 memory. Meanwhile, Seagate exceeded expectations with $4.23 billion in revenue, non-GAAP EPS of $7.68 and $1.5 billion in free cash flow. Teradyne also delivered results above expectations. Together, these developments highlight a broader trend: AI infrastructure spending is creating demand across several parts of the semiconductor and storage supply chain. But after such

AI infrastructure spending is creating an unusual situation in the semiconductor industry. Memory, traditionally viewed as a cyclical business vulnerable to oversupply, is becoming a critical part of the AI investment story. SK Hynix’s reported third-quarter revenue of ₩104.6 trillion and operating profit of ₩83.3 trillion highlight the extraordinary profitability described in the latest market update. Seagate also delivered strong results, reporting $4.23 billion in revenue and $1.5 billion in free cash flow, while Teradyne exceeded expectations. The rally is no longer just about GPUs. It increasingly includes the memory, storage and testing equipment required to support expanding AI infrastructure. But record results create a difficult question for investors: Are these companies benefiti

SK Hynix is weighing a 16 trillion won (~$12 billion) special dividend to distribute roughly 80% of the 20 trillion won in one-off gains booked from its Kioxia stake sale in the first half of 2026, alongside a broader capital return package (potentially totaling 50 trillion won to 60 trillion won) that may include share buybacks. In this article, we would like to cover the following areas to help us understand whether $SK hynix(SKHY)$ SK Hynix turns Kioxia gains into cash, is it a windfall or better capital returns? Kioxia Divestment Breakdown: Analyzes the monetization of the ₩20 trillion gain, explaining why distributing 80% (₩16 trillion) avoids capital misallocation and preserves funds for HBM/memory CapEx. Total Capital Package Deconstruction

AI infrastructure spending is showing up in storage companies’ financial results. $Seagate Technology PLC(STX)$ $SK hynix(SKHY)$ On October 28, SK Hynix released its third-quarter 2026 earnings. Seagate reported its fiscal first-quarter 2027 results after the U.S. market closed on October 27. Both companies delivered strong operating results. Their shares reacted differently: reports captured SK Hynix’s Korean-listed shares rising nearly 3% during the session, while Seagate fell approximately 6% in after-hours trading. What stands out to me is that demand for memory and mass-capacity storage is translating into revenue, profitability and cash flow. Investors now have to asse

【Money Market Fund】 US$ MMF Net 7-day Yield: +3.70%* During the week, US Treasury yields moved lower across the curve over the past week as concerns around AI-related equities outweighed the impact of higher oil prices, which led to a rise in safe-haven demand. With the FOMC in its pre-meeting blackout period, markets saw only less than 10% probability of an October rate hike, showcasing broad expectations that Fed remain on hold in October. Looking ahead, attention turns to the 28 October FOMC meeting. * 7-day net yield is calculated based on calendar days and NAVs in 5-decimal. 【REITs】 $CSOP iEdge SREIT ETF S$(SRT.SI)$ YTD total return: -9.07% As of 23 Oct 2026, SRT gained 1.49% WTD, bringing its YTD total return to-9.07%. WTD gains were led

As $SK hynix(SKHY)$ SK Hynix prepares to report its third-quarter financial results on Wednesday, October 28, 2026, $Samsung Electronics Co., Ltd.(SSNLF)$ Samsung Electronics steps up immediately afterward to take the baton in the global memory earnings week. In this article, we would like to share an analysis that evaluates memory pure-plays, peripheral chip leaders, ETF strategies, and the $Philadelphia Semiconductor Index(SOX)$ iShares Semiconductor ETF (SOX) outlook. 1. The Global Memory Super-Cycle Setting The global semiconductor industry stands at a pivotal juncture in late 2026. The memory landscape has undergone a fundamental structural shift: standard c

$SK海力士(SKHY)$  

Memory is waking up again. SK Hynix +4.05% Friday. Micron +2.46%. And Monday pre-market: MU ~$901 SNDK ~$1,267 But this week's earnings are about something much bigger than which memory stock beats estimates. For months, the memory bull case has rested heavily on one product: HBM. AI accelerators need enormous amounts of high-bandwidth memory, supply remains constrained, and SK Hynix and Micron have benefited enormously. But for the next leg of the memory trade to become broader and more durable, I want evidence that strength is spreading. HBM → DRAM → enterprise SSD → NAND → storage This week may finally tell us whether that is happening. 🟢 SK HYNIX: THE HBM BENCHMARK SK Hynix reports first. I care less about whether EPS beats consensus and more about three questions: 1. Is HBM demand sti

My focus is C: waiting for confirmation of orders and cash flow. AI infrastructure creates two opportunities. SK Hynix benefits from high-bandwidth memory and premium pricing. Seagate benefits from growing data-storage needs. However, record earnings do not guarantee attractive valuations. SK Hynix faces rising capital expenditure and future supply expansion, while Seagate’s margins depend on pricing discipline and HAMR adoption. The key question is whether profits remain sustainable as competitors expand capacity. Seagate’s $1.48 billion quarterly free cash flow is encouraging, while SK Hynix’s long-term customer agreements improve demand visibility. My conclusion: AI storage is becoming a real earnings story, not merely a market narrative. I would prioritize sustainable cash flow, pricin

$MU$   Apple (AAPL) and Micron (MU) Stock News Key Drivers & Context • Memory Cost Pressures: Apple CEO Tim Cook has highlighted rising component and memory costs tied to intense AI-driven demand, prompting Apple to test alternative suppliers such as China's ChangXin Memory Technologies (CXMT) for select regional markets. • Micron Performance & Outlook: Micron continues to experience strong enterprise and AI-related memory demand with high gross margins, even as shares see bouts of volatility and profit-taking following a sharp multi-month rally. • Upcoming Catalysts: Apple is preparing for its upcoming product announcements and quarterly earnings report, which investors are wat

Rollercoaster mode: ACTIVATE! If you’ve been looking at your tech portfolio recently, you might be wondering if the AI hype train just derailed. Micron, Nvidia, Broadcom, and friends took a bit of a tumble! Before anyone panics and sells their GPU collection, let’s unpack what’s actually happening: 1. First time? (Spoiler: It’s not!) If you think this is the first time AI and memory stocks have tanked, welcome to tech investing! Even during mega bull runs, these stocks regularly pull back 20% to 30%. It’s not a bug; it’s a standard feature. AI giants like Nvidia have survived dozens of these "shake-outs" on their way up, and memory chipmakers take investors on this exact wild ride all the time. 2. The Memory Market is the ultimate Drama Queen Memory stocks (DRAM, NAND, HBM) are historicall

$MU$   Key Drivers & Context • Memory Cost Pressures: Apple CEO Tim Cook has highlighted rising component and memory costs tied to intense AI-driven demand, prompting Apple to test alternative suppliers such as China's ChangXin Memory Technologies (CXMT) for select regional markets. • Micron Performance & Outlook: Micron continues to experience strong enterprise and AI-related memory demand with high gross margins, even as shares see bouts of volatility and profit-taking following a sharp multi-month rally. • Upcoming Catalysts: Apple is preparing for its upcoming product announcements and quarterly earnings report, which investors are watching closely for margin and hardware co

Today, South Korean stocks plunged, with the $CSOP KOSPI(03121)$ index at one point falling more than 7%, breaking below the psychologically important 6,000-point level and approaching its July low: On the news front, Broadcom CEO Hock Tan said at an event in Singapore yesterday that most companies see no return on their AI computing investments, questioning the long-term viability of money-losing AI labs. He said: "Many investors don't really know what they're investing in. They set absurdly high expectations, only to realize in the end that they're practically in a casino." $Broadcom (AVGO) Tan also noted that several AI companies, including OpenAI, lose tens of billions of dollars each year. Such services require massive spending on high-end c

The indices: the Dow outran the Nasdaq for the third session in a row All three indices split again on Monday: the $Dow Jones(.DJI)$ rose 0.38 per cent to 51,850.55; the $S&P 500(.SPX)$ fell 0.06 per cent to 7,807.24, essentially flat; and the $NASDAQ(.IXIC)$ fell 0.44 per cent to 27,245.90. The 10-year Treasury yield stayed at 5.24 per cent, unchanged from Friday. Monday was the third consecutive session in which the Dow outperformed the Nasdaq. Nvidia fell 1.29 per cent to US$226.32 and AMD fell 2.28 per cent to US$594.24, extending the declines that began last Thursday on the OpenAI revenue report. Memory st

The AI hardware trade just got hit with two reality checks simultaneously: a structural supply-side threat out of China and a demand-side paradigm shift from Broadcom. Here is the breakdown of what actually changed, what’s noise, and whether memory conviction should hold. 1. The Supply Shock: CXMT’s 4F2 DRAM Breakthrough The Announcement ChangXin Memory Technologies (CXMT) unveiled progress on a 4F2 DRAM architecture, aimed at server/datacenter memory by end-2026. Standard 6F2 Architecture: [ Cell Area: ~6F² ] --> Scaling limit nearing CXMT 4F2 Target: [ Cell Area: ~4F² ] --> ~30-50% die size reduction Why Wall Street Freaked Out * Density Advantage: A shift from 6F2 to 4F2 design theoretically reduces cell area by roughly 30% to 50%, yielding significantly more dies per wafer withou

One technology announcement. Four stocks under pressure. On Monday, October 12, $SanDisk(SNDK)$ fell 5.97%, $Lumentum(LITE)$ dropped 9.78%, $Micron Technology(MU)$ lost 3.88%, and $SK Hynix(000660)$ declined 4.02%. The catalyst? China’s memory-chip maker ChangXin Memory Technologies (CXMT) announced progress on a next-generation DRAM architecture that could intensify competition in the global memory market.  But has the competitive threat changed overnight, or is the market pricing in a risk that still needs to be proven? 🔬 1. What has CXMT actually achieved? CXMT says it has made progress on a 4F² DRAM cell architecture, designed to fit more memory cells into a smaller area. Mainstream DRAM has traditionally used a 6F² cell design. Moving to 4F² could improve memory density and potential

The memory trade just got a new risk to consider. On Monday, $SanDisk(SNDK)$ fell 5.97%, $Lumentum(LITE)$ dropped 9.78%, $Micron Technology(MU)$ lost 3.88%, and $SK Hynix(000660)$ declined 4.02%. The trigger? China’s ChangXin Memory Technologies (CXMT) announced progress on a new DRAM architecture that could increase memory density and improve manufacturing efficiency. The company plans to introduce a server-memory product using its 4F² design by the end of 2026.  But I think there are two separate stories here. 🔍 1. The threat is pricing power, not just market share The 4F² architecture aims to fit more memory cells into a smaller area than the conventional 6F² design. If CXMT can successfully scale this technology, it could eventually become a more serious competitor in server DRAM, put