To The Moon

A bank selling off more than 5% after an earnings beat tells me the market is trading the next few quarters, not the quarter just reported. Citi’s headline numbers were strong, but investors may be focusing on what comes next: credit costs, loan growth, funding margins and the impact of higher long-term yields. Jamie Dimon’s warning that forces are “shifting under the surface” adds to that caution. To me, the sell-off does not necessarily mean the results were bad. It suggests expectations were already high and investors are questioning whether current earnings are sustainable. If banks keep falling despite beats, that becomes more meaningful. It could signal that the market is pricing slower growth or rising credit risk before those pressures become obvious in headline earnings.

For the rotation out of memory into compute to last, I would want three confirmations. First, TSMC and the hyperscalers need to maintain or raise AI capex guidance. That would support Nvidia, AMD and other logic names even if conventional memory pricing becomes less certain. Second, compute earnings need to show that demand is translating into margins and cash flow, not merely huge AI spending. That matters increasingly as investors question the returns being generated from AI infrastructure. Third, memory needs a genuinely weaker fundamental signal. China's DRAM progress alone may create a valuation scare, but it does not necessarily mean near-term oversupply. If HBM remains tight and DRAM contract prices continue rising, money could rotate back quickly. So my test is simple: strong AI ca

I think a bank selling off despite beating estimates shows that the market is looking beyond headline numbers. Investors are focusing on future guidance, net interest income, trading performance and margin pressure. A strong quarter may not be enough if the outlook disappoints. The same applies to AI stocks. I am watching whether AI infrastructure spending translates into sustainable earnings growth, while $Cxmt Corporation(688825)$ ’s progress adds uncertainty to the memory sector. One technical announcement is not enough to overturn the long-term memory supercycle thesis, but competition and pricing pressure cannot be ignored. My approach is to stay patient and avoid emotional reactions to daily moves. I prefer to track earnings and business

Are we seeing a tidal chanfe in conputing? Maybe the future paradigm is nudging results even now? ⭐🐯

The indices: barely moved, but chips and memory went in opposite directions The three indices were nearly flat on Tuesday: the $S&P 500(.SPX)$ fell 0.02 per cent to 7,805.45; the $NASDAQ(.IXIC)$ fell 0.15 per cent to 27,204.38; and the $Dow Jones(.DJI)$ fell 0.35 per cent to 51,670.10. The 10-year Treasury yield eased from 5.24 per cent to 5.22 per cent. The compute chips that had been falling since last Thursday bounced: $NVIDIA(NVDA)$ rose 0.97 per cent to US$228.52 and AMD rose 1.90 per cent to US$605.53, with the specific AMD driver in the next sect

I think option ① matters most: whether EUV orders remain strong. $ASML Holding NV(ASML)$ supplies essential equipment for advanced logic and memory chips, so strong bookings would suggest chipmakers remain confident in long-term AI demand despite concerns about memory oversupply. For me, the key is not just whether ASML beats Q3 estimates, but whether management maintains its 2027 expansion plans and provides a confident outlook. Strong bookings would support the AI growth story, while weaker orders or delayed deliveries would raise concerns about future spending. I remain bullish on AI infrastructure long term, but I do not expect every semiconductor stock to rise together. I will focus on sustainable demand, competitive advantages and valuati

1  EUV orders stay strong ASML’s real story is not quarterly earnings, but whether chipmakers remain confident enough to commit billions to future capacity. Its customers are expanding production to meet AI demand, while its exclusive position in EUV lithography gives it a critical role in advanced chip manufacturing. However, rising memory supply creates a potential contradiction: today’s capacity expansion could become tomorrow’s pricing pressure. If manufacturers overestimate future demand, equipment orders may eventually slow. I would focus on net bookings, EUV demand and management’s 2027–2028 outlook rather than revenue alone. ASML can deliver excellent earnings and still disappoint if expectations are even higher. My view: AI infrastructure demand remains compelling, but valua

Asian semiconductor stocks just experienced a sharp selloff, with SK hynix, Samsung and Kioxia coming under heavy pressure as investors reassessed future memory supply and pricing power. Now, ASML is set to report its Q3 earnings, offering another important signal about the future of the AI infrastructure cycle. The key question is not simply how much ASML earned this quarter, but whether chipmakers are still willing to spend heavily on capacity they may not need until 2027 or 2028. ASML's fundamentals remain strong. In Q2, the company reported €9.33 billion in revenue, a 54% gross margin and approximately €2.9 billion in net income. Management previously guided for Q3 revenue of €11 billion–€12 billion and gross margins of 55%–57%. Analysts surveyed by Visible Alpha expect roughly €11.71

AI-related stocks opened mostly lower on Monday, 12 October, with $HUA HONG GRACE(01347)$ recording the largest decline among DLC-covered underlyings in early trading. Hua Hong fell around 4.4% in the morning session while $SMIC(00981)$ fell around 2%. $GIGADEVICE(03986)$ and $Z.AI(02513)$ also declined more than 3.5% each. Bucking the trend, $MINIMAX-W(00100)$ remained in the green, gaining around 0.8% as of morning session close. Investors who are bullish on these underlying stocks and expect a rebound can consider the new

Last Thursday looked ugly for semiconductors. AMD fell 3.9% to $620.68. Nvidia lost 2.94%, Broadcom dropped 4.35%, while Intel fell 5.34%. AMD then weakened again on Friday, closing around $608. Normally, when stocks fall this hard, I ask whether the fundamental story changed. This time, Lisa Su gave us an unusually useful answer. AMD is planning a substantial increase in supply, yet management still sees demand exceeding what the industry can currently produce. Advanced wafers, HBM, packaging and other parts of the AI supply chain remain constrained. That creates a fascinating divergence: The stocks are pricing fear while the supply chain is still pricing scarcity. For me, that is not automatically a sell signal. It is a signal to become much more selective. Why Did Chips Sell Off Then? T

Chip stocks sell off but AMD says demand still outstrips supply but does that apply to all the big chip makers? or only certain genre of chip makers are seeing demand outstripping supply? In this article, we would like to discuss a comprehensive institutional analysis of sector divergence, sub-genre supply dynamics, and investment strategies for $NVIDIA(NVDA)$, $Advanced Micro Devices(AMD)$, $Broadcom(AVGO)$, and $Micron Technology(MU)$. 1. The Semiconductor Sell-Off vs. Fundamental Reality The global semiconductor sector has recently experienced sharp equity pullbacks driven by macroeconomic tightening, rising geopolitical

Comparing the changes in open interest on October 8 with October 7, the market’s collective positioning was far from aggressive: put open interest in crude oil and the Nasdaq-100 expanded significantly faster than call open interest, suggesting that market participants were paying for downside protection. Gold, by contrast, continued to see calls dominate both open interest and trading volume. Increases in options open interest can reflect hedging, premium collection by option sellers, or spread strategies, making them more useful for assessing risk appetite and identifying key areas of positioning. WTI Crude Oil: Stronger Demand for Downside Protection, with a Cautious Near-Term Outlook The defensive positioning in crude oil options strengthened further on October 8. Put open interest ros

Chip stocks took a hit on Thursday, with Intel falling 5.34%, Broadcom dropping 4.35%, AMD losing 3.90% and NVIDIA declining 2.94%. Yet AMD CEO Lisa Su delivered a very different message in Taipei: AI chip demand continues to exceed supply, even as production expands into 2026. The problem isn’t simply whether customers want more chips. High-bandwidth memory (HBM), advanced packaging and wafer capacity remain constraints on how quickly the industry can deliver them. So why are chip stocks falling if demand is still so strong? There are two sides to this story. 🐂 The bull case If demand continues to exceed supply, chipmakers could maintain strong pricing and benefit from further investment in AI infrastructure. Production constraints may limit near-term deliveries, but they also highlight h

$Advanced Micro Devices(AMD)$  $NVIDIA(NVDA)$  $Broadcom(AVGO)$ $Intel(INTC)$   Thursday’s sell-off raises an interesting question. If AI chip demand still exceeds supply, why are semiconductor stocks falling? Intel dropped 5.34%, Broadcom lost 4.35%, AMD fell 3.90%, and Nvidia declined 2.94%, according to the figures reported in the market update. Meanwhile, AMD CEO Lisa Su has indicated that AI chip demand continues to exceed supply, with production constrained by factors including high-bandwidth memory (HBM), advanced packaging and wafer capacity. The interesting part is that strong d

I think the more fragile assumption is the idea that AI-related memory and hard-drive shortages will stay tight for years. Toshiba’s expansion shows that high prices can eventually bring more supply, so I would be cautious about assuming today’s pricing power will last indefinitely. I am still more comfortable with AI compute, where $NVIDIA(NVDA)$ , $Advanced Micro Devices(AMD)$ and $Broadcom(AVGO)$ continue to benefit from strong infrastructure demand. However, valuations are high, so expectations also need to stay realistic. I am also watching long-term yields closely. Even with October rate-hike odds falling, the 10-year yield remains above 5%, which could p

Nvidia authorized its historic $235 billion buyback program, it created a massive, structural safety net for its stock. The behavior of a buyback would be when a stock trades at or near all-time highs and a company implements a massive buyback, the entity "buying the highs" is primarily the stock itself, in this case, it is $NVIDIA(NVDA)$, we would also see alongside institutional forces which would be seen to mechanically required to follow. 1. Introduction: The Magnitude of $235 Billion Corporate capital allocation reaches rare milestones when scale, profitability, and market valuation intersect at historic magnitudes. Nvidia’s announcement of an additional $150 billion share buyback authorization, cementing a total remaining repurchase capacity

I think compute is resting on the more fragile assumption. The bullish compute thesis assumes AI capex can keep growing rapidly and, more importantly, that customers will eventually generate enough economic value from AI to justify all that infrastructure. If monetisation disappoints, hyperscalers could moderate spending surprisingly quickly. Memory is cyclical and vulnerable to oversupply, but demand is increasingly tied to real hardware requirements. AI accelerators need large amounts of high-bandwidth memory, while servers still need DRAM and storage. So I see memory’s risk as more about supply, pricing and cycles, whereas compute carries a bigger valuation and AI-ROI assumption. Both can fall, but if the market starts questioning whether every extra dollar of AI capex produces adequat

I will still do my weekly DCA investments 

My view: Memory looks more fragile. Memory/storage prices depend heavily on supply shortages. If Toshiba or other companies increase production, prices and profits could fall quickly. Compute like NVIDIA, AMD and Broadcom has a stronger long-term driver: AI demand. Even if hardware supply improves, AI companies still need more computing power for training and inference. However, compute stocks are not risk-free. Their valuations are already high, so slower AI spending could cause a sharp correction. The weak jobs report is also important. If the economy weakens and the Fed cuts rates, that could support high-growth tech stocks—but falling yields caused by a recession would be a different story. Bottom line: I would be more cautious about memory/storage because the shortage can disapp

The indices: a weak jobs report, and all three still closed higher All three indices closed higher on Friday: the $NASDAQ(.IXIC)$ Composite rose 1.19 per cent to 27,190.86, having reached 27,353.68 at its intraday peak; the $S&P 500(.SPX)$ rose 0.73 per cent to 7,722.72; and the $Dow Jones(.DJI)$ rose 0.49 per cent to 51,176.96. The September employment report came out that morning: non-farm payrolls added 29,000, where the market had looked for somewhere between 85,000 and 90,000, and the unemployment rate went from 4.1 per cent in August to 4.2 per cent, where a flat reading had been expected. The previous tw

For the rotation out of memory into compute to last, I would want three confirmations. First, TSMC and the hyperscalers need to maintain or raise AI capex guidance. That would support Nvidia, AMD and other logic names even if conventional memory pricing becomes less certain. Second, compute earnings need to show that demand is translating into margins and cash flow, not merely huge AI spending. That matters increasingly as investors question the returns being generated from AI infrastructure. Third, memory needs a genuinely weaker fundamental signal. China's DRAM progress alone may create a valuation scare, but it does not necessarily mean near-term oversupply. If HBM remains tight and DRAM contract prices continue rising, money could rotate back quickly. So my test is simple: strong AI ca

A bank selling off more than 5% after an earnings beat tells me the market is trading the next few quarters, not the quarter just reported. Citi’s headline numbers were strong, but investors may be focusing on what comes next: credit costs, loan growth, funding margins and the impact of higher long-term yields. Jamie Dimon’s warning that forces are “shifting under the surface” adds to that caution. To me, the sell-off does not necessarily mean the results were bad. It suggests expectations were already high and investors are questioning whether current earnings are sustainable. If banks keep falling despite beats, that becomes more meaningful. It could signal that the market is pricing slower growth or rising credit risk before those pressures become obvious in headline earnings.

The indices: barely moved, but chips and memory went in opposite directions The three indices were nearly flat on Tuesday: the $S&P 500(.SPX)$ fell 0.02 per cent to 7,805.45; the $NASDAQ(.IXIC)$ fell 0.15 per cent to 27,204.38; and the $Dow Jones(.DJI)$ fell 0.35 per cent to 51,670.10. The 10-year Treasury yield eased from 5.24 per cent to 5.22 per cent. The compute chips that had been falling since last Thursday bounced: $NVIDIA(NVDA)$ rose 0.97 per cent to US$228.52 and AMD rose 1.90 per cent to US$605.53, with the specific AMD driver in the next sect

Asian semiconductor stocks just experienced a sharp selloff, with SK hynix, Samsung and Kioxia coming under heavy pressure as investors reassessed future memory supply and pricing power. Now, ASML is set to report its Q3 earnings, offering another important signal about the future of the AI infrastructure cycle. The key question is not simply how much ASML earned this quarter, but whether chipmakers are still willing to spend heavily on capacity they may not need until 2027 or 2028. ASML's fundamentals remain strong. In Q2, the company reported €9.33 billion in revenue, a 54% gross margin and approximately €2.9 billion in net income. Management previously guided for Q3 revenue of €11 billion–€12 billion and gross margins of 55%–57%. Analysts surveyed by Visible Alpha expect roughly €11.71

I think a bank selling off despite beating estimates shows that the market is looking beyond headline numbers. Investors are focusing on future guidance, net interest income, trading performance and margin pressure. A strong quarter may not be enough if the outlook disappoints. The same applies to AI stocks. I am watching whether AI infrastructure spending translates into sustainable earnings growth, while $Cxmt Corporation(688825)$ ’s progress adds uncertainty to the memory sector. One technical announcement is not enough to overturn the long-term memory supercycle thesis, but competition and pricing pressure cannot be ignored. My approach is to stay patient and avoid emotional reactions to daily moves. I prefer to track earnings and business

I think option ① matters most: whether EUV orders remain strong. $ASML Holding NV(ASML)$ supplies essential equipment for advanced logic and memory chips, so strong bookings would suggest chipmakers remain confident in long-term AI demand despite concerns about memory oversupply. For me, the key is not just whether ASML beats Q3 estimates, but whether management maintains its 2027 expansion plans and provides a confident outlook. Strong bookings would support the AI growth story, while weaker orders or delayed deliveries would raise concerns about future spending. I remain bullish on AI infrastructure long term, but I do not expect every semiconductor stock to rise together. I will focus on sustainable demand, competitive advantages and valuati

Are we seeing a tidal chanfe in conputing? Maybe the future paradigm is nudging results even now? ⭐🐯

Last Thursday looked ugly for semiconductors. AMD fell 3.9% to $620.68. Nvidia lost 2.94%, Broadcom dropped 4.35%, while Intel fell 5.34%. AMD then weakened again on Friday, closing around $608. Normally, when stocks fall this hard, I ask whether the fundamental story changed. This time, Lisa Su gave us an unusually useful answer. AMD is planning a substantial increase in supply, yet management still sees demand exceeding what the industry can currently produce. Advanced wafers, HBM, packaging and other parts of the AI supply chain remain constrained. That creates a fascinating divergence: The stocks are pricing fear while the supply chain is still pricing scarcity. For me, that is not automatically a sell signal. It is a signal to become much more selective. Why Did Chips Sell Off Then? T

1  EUV orders stay strong ASML’s real story is not quarterly earnings, but whether chipmakers remain confident enough to commit billions to future capacity. Its customers are expanding production to meet AI demand, while its exclusive position in EUV lithography gives it a critical role in advanced chip manufacturing. However, rising memory supply creates a potential contradiction: today’s capacity expansion could become tomorrow’s pricing pressure. If manufacturers overestimate future demand, equipment orders may eventually slow. I would focus on net bookings, EUV demand and management’s 2027–2028 outlook rather than revenue alone. ASML can deliver excellent earnings and still disappoint if expectations are even higher. My view: AI infrastructure demand remains compelling, but valua

Chip stocks sell off but AMD says demand still outstrips supply but does that apply to all the big chip makers? or only certain genre of chip makers are seeing demand outstripping supply? In this article, we would like to discuss a comprehensive institutional analysis of sector divergence, sub-genre supply dynamics, and investment strategies for $NVIDIA(NVDA)$, $Advanced Micro Devices(AMD)$, $Broadcom(AVGO)$, and $Micron Technology(MU)$. 1. The Semiconductor Sell-Off vs. Fundamental Reality The global semiconductor sector has recently experienced sharp equity pullbacks driven by macroeconomic tightening, rising geopolitical

AI-related stocks opened mostly lower on Monday, 12 October, with $HUA HONG GRACE(01347)$ recording the largest decline among DLC-covered underlyings in early trading. Hua Hong fell around 4.4% in the morning session while $SMIC(00981)$ fell around 2%. $GIGADEVICE(03986)$ and $Z.AI(02513)$ also declined more than 3.5% each. Bucking the trend, $MINIMAX-W(00100)$ remained in the green, gaining around 0.8% as of morning session close. Investors who are bullish on these underlying stocks and expect a rebound can consider the new

Comparing the changes in open interest on October 8 with October 7, the market’s collective positioning was far from aggressive: put open interest in crude oil and the Nasdaq-100 expanded significantly faster than call open interest, suggesting that market participants were paying for downside protection. Gold, by contrast, continued to see calls dominate both open interest and trading volume. Increases in options open interest can reflect hedging, premium collection by option sellers, or spread strategies, making them more useful for assessing risk appetite and identifying key areas of positioning. WTI Crude Oil: Stronger Demand for Downside Protection, with a Cautious Near-Term Outlook The defensive positioning in crude oil options strengthened further on October 8. Put open interest ros

Chip stocks took a hit on Thursday, with Intel falling 5.34%, Broadcom dropping 4.35%, AMD losing 3.90% and NVIDIA declining 2.94%. Yet AMD CEO Lisa Su delivered a very different message in Taipei: AI chip demand continues to exceed supply, even as production expands into 2026. The problem isn’t simply whether customers want more chips. High-bandwidth memory (HBM), advanced packaging and wafer capacity remain constraints on how quickly the industry can deliver them. So why are chip stocks falling if demand is still so strong? There are two sides to this story. 🐂 The bull case If demand continues to exceed supply, chipmakers could maintain strong pricing and benefit from further investment in AI infrastructure. Production constraints may limit near-term deliveries, but they also highlight h

$Advanced Micro Devices(AMD)$  $NVIDIA(NVDA)$  $Broadcom(AVGO)$ $Intel(INTC)$   Thursday’s sell-off raises an interesting question. If AI chip demand still exceeds supply, why are semiconductor stocks falling? Intel dropped 5.34%, Broadcom lost 4.35%, AMD fell 3.90%, and Nvidia declined 2.94%, according to the figures reported in the market update. Meanwhile, AMD CEO Lisa Su has indicated that AI chip demand continues to exceed supply, with production constrained by factors including high-bandwidth memory (HBM), advanced packaging and wafer capacity. The interesting part is that strong d

Nvidia authorized its historic $235 billion buyback program, it created a massive, structural safety net for its stock. The behavior of a buyback would be when a stock trades at or near all-time highs and a company implements a massive buyback, the entity "buying the highs" is primarily the stock itself, in this case, it is $NVIDIA(NVDA)$, we would also see alongside institutional forces which would be seen to mechanically required to follow. 1. Introduction: The Magnitude of $235 Billion Corporate capital allocation reaches rare milestones when scale, profitability, and market valuation intersect at historic magnitudes. Nvidia’s announcement of an additional $150 billion share buyback authorization, cementing a total remaining repurchase capacity

The indices: a weak jobs report, and all three still closed higher All three indices closed higher on Friday: the $NASDAQ(.IXIC)$ Composite rose 1.19 per cent to 27,190.86, having reached 27,353.68 at its intraday peak; the $S&P 500(.SPX)$ rose 0.73 per cent to 7,722.72; and the $Dow Jones(.DJI)$ rose 0.49 per cent to 51,176.96. The September employment report came out that morning: non-farm payrolls added 29,000, where the market had looked for somewhere between 85,000 and 90,000, and the unemployment rate went from 4.1 per cent in August to 4.2 per cent, where a flat reading had been expected. The previous tw

Do you believe that $NVIDIA(NVDA)$’s sinking stock valuation is sending a warning signal about the chipmaker’s prospects to maintaining its booming profit growth ? Do you think this is true ? Let’s find out. Valuation Paradox: Cheap Price vs High Growth NVDA’s stock is currently priced cheaply relative to its earnings, dropping to less than 17x its expected profit for the coming year. To put the drop into perspective, the stock's price multiple was twice as high in 2025, even though company's financial growth was slower back then. (see below) Additionally, that valuation has fallen significantly from more than 25x estimated earnings as recently as May 2026. Management’s View: Misunderstood & Mispriced The gap between (1) NVDA's strong business

$NVIDIA(NVDA)$  just put $235 billion behind its own stock. That sounds like an enormous vote of confidence. On September 28, Nvidia’s board added another $150 billion to its share-repurchase authorization, taking the remaining authorization to $235 billion through fiscal 2028. Nvidia described it as the largest increase to a buyback authorization in history.  Then came the market reaction. Nvidia hit an intraday record of $237.88 on Friday before closing at $233.95, up 1.34%. Its market value finished around $5.7 trillion.  But here’s the question I keep coming back to: At these prices, is buying back stock the best use of Nvidia’s enormous cash flow? The bull case is straightforward. Buybacks reduce the number of shares outstanding,

Jensen Huang drops a number. Why AI hardware came all the way back, and how I'm playing it with sell puts Written Wednesday morning SGT, using Tuesday's US close. The number On September 17, Nvidia CEO Jensen Huang said the company will double the number of chips it sells next year. His exact words were: "I expect Nvidia to sell twice as many chips as this next year as we do this year." He said it at the AI summit King Charles III hosted at Dumfries House in Scotland. The comment covers all of Nvidia's chips, not just GPUs. That includes the flagship Blackwell and upcoming Vera Rubin GPUs, Grace CPUs, optical networking chips, automotive platforms and Jetson robotics processors. It also builds on guidance Nvidia already gave. On the August 26 earnings call, CFO Colette Kress laid out a 70%

$NVIDIA(NVDA)$  just gave investors another reason to stay bullish — and another reason to question the valuation. The board has lifted Nvidia’s buyback authorization by $150 billion, taking the total authorization to a massive $235 billion through January 2028. The stock closed at $233.95, up 1.34%, after hitting a record $237.88 intraday. Nvidia’s market cap is now approaching $6 trillion. That is where the buyback story gets interesting. 🐂 Bulls see a powerful support A $235B authorization gives Nvidia enormous firepower to return capital to shareholders. Buybacks can reduce the share count, increase earnings per share and provide additional demand for the stock. And Nvidia clearly has the cash generation to make aggressive capital re