To The Moon

$NVIDIA(NVDA)$ reports fiscal-second-quarter results after the August 26 close, and few investors doubt that demand for its accelerators remains enormous. The harder question is whether the surrounding AI infrastructure can earn enough to support the capital, financing and increasingly expensive components required to deploy Nvidia’s systems at the pace reflected in its valuation. The first quarter, ended April 26 and reported May 20, set an extraordinary benchmark. Revenue increased 85% year over year to $81.6 billion, while Data Center revenue rose 92% to $75.2 billion. Nvidia also authorised another $80 billion of repurchases and raised its quarterly dividend. Nvidia’s official financial-results archive provides the reported figures. The compan

Part 2 And basically a continuation from my bother NVIDIA post earlier this year on my thoughts. NVIDIA reports fiscal Q2 earnings on Wednesday, August 26. Normally that sentence alone would be enough to get attention. But this time the setup is ridiculous. NVIDIA is sitting around a US$5.2 trillion market cap. The stock closed Friday at US$214.72. Wall Street is expecting roughly US$92 billion in quarterly revenue and around US$2.09 adjusted EPS. That would be another extraordinary quarter for a company that is already the largest public company on the planet. And that is exactly where the problem begins. For NVIDIA now, being excellent may no longer be enough. 📊 THE NUMBERS ARE ALREADY INSANE Last quarter, NVIDIA generated US$81.6 billion in revenue, up 85% year on year. Data Center

$SOXL 20260821 186.0 CALL$ sell call on a green day, sell put on a red day

Good

NVIDIA (NVDA) Q1 FY2027 revenue hit $81.6B (+85% YoY), with Data Center ~$75B (+92%). Q2 guidance is ~$91B (±2%) at ~75% gross margins (China data-center compute excluded). Demand visibility remains strong (multi-year customer commitments; hyperscaler capex forecasts continue rising). Partnerships and platform expansions (including software/models) reinforce the ecosystem. Shares trade around $215 (market cap ~$5.2T), consolidating after strong gains. Consensus is Strong Buy with average targets near $300–$310 (substantial upside). Valuation has compressed to more reasonable levels relative to growth. Future potential: Highest conviction in pure AI compute. Leadership in GPUs, full-stack offerings, and infrastructure financing platforms position it well for sustained multi-year growth. Key

Bullish on NVDA - One of the Catalyst NVIDIA’s $500B AI Financing Plan —  What It Actually Means?$NVIDIA(NVDA)$   NVIDIA’s newly announced >$500 billion AI infrastructure financing initiative sounds like NVIDIA is spending $500B itself. It isn’t. The $500B refers to a target amount of third-party capital that could be mobilized over time through financing partners such as Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR. The objective is simple: Make it easier for companies to finance AI infrastructure instead of paying the entire cost upfront. 1. Where does the $500B come from? Capital can ultimately come from: * Pension funds * Insurance companies * Sovereign wealth funds * Private cred

nvda

The Market Is Stuck. Nvidia Holds the Key. But Watch Out. This week, bonds called the shots. Next week, all eyes turn to **Jensen Huang** and his AI empire. Since the last earnings report, $NVIDIA(NVDA)$ stock has gone nowhere. Yet options markets are pricing in a ±5.3% swing by Friday’s close. That’s a $562 billion market cap move, up or down. NVDA The Bull Case: Everything Looks Perfect Nvidia carries a 7.6% weight in the S&P 500. Its forward P/E has cooled to ~20, way below the 5-year average of 63. The stock hasn’t rallied into earnings, less risk of a "buy the rumor, sell the news" flush. On paper, Nvidia has everything it needs to reignite the broader market. But Here’s the Catch, According to Bespoke Nvidia is a "triple-play king": Beat

Semis have started their journey downhill and I expect 15-20% decline before next rally.

The semiconductor selloff is a wake up call for investors.  Option B: Higher yields require further valuation adjustment is the absolute core driver.  You cannot look at the tech stocks valuation in a vacuum. With the US 30 year Treasury Bond yield blasting to a 19 year high of 5.33%, paying extreme premium for future unproven tech earnings does not make sense.  Higher yields from the US bonds is like a vacuum cleaner, sucking the speculative liquidity out of high beta tech stocks. The selloff isn't happening because AI demand died.  It is happening because macro physics are forcing a standard valuation reset across the entire sector. While Option B tells you why the market is dropping, Option E is the ultimate strategy for turning that red ink into long term wealth. B

I view it as A&E (Accident & Emergency 🦺) [LOL] [LOL] [LOL].... Wait for the set-up to Buy the Deep [Evil] @Aqa @DiAngel @JC888 @Barcode @Shyon @koolgal @Shernice軒嬣 2000

NVIDIA Drops 2.3% Before Earnings — I’m Still Bullish 🚀 NVIDIA just gave investors a better entry point. Shares fell 2.3% Tuesday, as the entire semiconductor complex sold off, with NVDA now sitting around the $225 area ahead of its Aug. 26 earnings. The market is suddenly questioning whether AI spending has gone too far, whether NVIDIA is financing its own demand, and whether challengers like Cerebras and Groq can finally take share. My take? The market is focusing on the wrong risk. I’m bullish into earnings. 1. The fundamental numbers are still extremely hard to ignore NVIDIA’s last quarter was not a company showing signs of slowing down. Q1 FY27 revenue hit $81.6B, +85% YoY, while Data Center revenue reached $75.2B, +92% YoY. Even more important: NVIDIA guided Q2 revenue to approximate

I’m leaning toward A — normal profit-taking, with the AI hardware trend still intact. Tuesday’s semiconductor selloff looks more like a valuation reset than a fundamental breakdown. The Philadelphia Semiconductor Index fell about 5%, while memory and optical names such as SNDK, MU and CRDO were hit much harder than Nvidia. The key issue is macro: the 30-year Treasury yield recently reached its highest level since 2007, while Brent crude moved above $90. That combination naturally pressures high-multiple growth stocks. But AI infrastructure demand has not suddenly disappeared. Memory, storage, networking and GPU demand remain tied to massive data-center investment. So I wouldn’t call this an AI-cycle reversal yet. Instead, I’d watch whether SNDK and MU stabilize and reclaim key moving aver

I see Tuesday’s semiconductor selloff as normal profit-taking and valuation compression rather than a fundamental breakdown. Higher Treasury yields, oil above $90 and crowded AI trades created the perfect setup for a sharp pullback, especially after the strong recent rally in memory and optical stocks. For me, the key point is that AI demand, memory pricing and data-center CapEx remain intact. I’ll be watching the 50-day moving averages, particularly for $Micron Technology(MU)$ and $SanDisk Corp.(SNDK)$ , to see whether the sector can stabilize and reclaim key levels. Personally, I’m leaning toward A + E: normal profit-taking and an opportunity to accumulate in stages. I wouldn’t rush in after one red day

The Philadelphia Semiconductor Index fell 5% on Tuesday, with memory, storage and optical-networking stocks leading the decline. There was no clear deterioration in industry fundamentals. Rising Treasury yields, higher oil prices and profit-taking in crowded AI trades combined to trigger a sharp valuation reset. 1. Semiconductor Sentiment Reversed in One Session On Monday, AI storage was one of the strongest areas of the market: SanDisk gained 8.9% Micron rose 4.1% Western Digital, Seagate and optical-networking stocks also advanced One day later, the trade reversed sharply. Stock Tuesday Segment SNDK −9.0% NAND and enterprise SSDs WDC −7.4% Data-center HDDs MU −7.0% DRAM and HBM AMD −4.3% AI processors AVGO −3.2% Custom chips and networking NVDA −2.3% AI GPUs COHR −12.8% Optical networkin

Hello. Three companies reported on Tuesday. Put the three side by side and no order makes sense. $Fabrinet(FN)$ beat on revenue by about 3.1 per cent and on earnings per share by about 7.5 per cent, both records — and closed down 19.38 per cent at US$482.59. $Home Depot(HD)$ beat on both lines, posted net sales of about US$47.9 billion and its best comparable sales since 2022, and reaffirmed full-year guidance — and closed down 0.12 per cent. $BIDU-SW(09888)$ missed on both revenue and profit, with earnings per share about 22.7 per cent short — and closed down 12.73 per cent. Full marks fell 19 per cent, a pass fell 0.

$NVIDIA(NVDA)$’s agreement to support a vast OpenAI data-centre project demonstrates the extraordinary scale of AI infrastructure demand. It also deepens a question investors can no longer ignore: how much future demand is being enabled financially by the company that ultimately expects to sell the chips? Nvidia announced on August 17 that it would invest $1.5 billion in SoftBank-backed SB Energy and provide up to $105 billion of financial guarantees connected with an Ohio data-centre campus leased by OpenAI. The site is intended to reach as much as eight gigawatts, with an initial 800 megawatts expected in 2028. OpenAI’s lease runs for 20 years, and Nvidia will supply the project’s accelerators. Reuters’ August 17 report describes the financing s

$NVIDIA(NVDA)$ is slated to report its Q2 2026 earnings on Wed, 26 Aug 2026. Is it timely to take a closer look at the stock prior to its earnings release ? I think so, especially if there is a chance to take a position before a potential rally. According to Investor’s Business Daily (IBD), the AI chip giant is (currently), holding just above a short handle entry. Near Buy Point ? Last week, shares of the AI chipmaker edged up a fraction, coming in at +0.64%, for the week, enough to put it just -4.8% below a $236.54 buy point from a cup-shape base. Interestingly, NVDA already offered an early entry from a short handle, with the 7 Aug 2026 high of $224.76 marking the exact buy point. The Relative Strength line for the AI chip stock is rising,

What deserves the most attention in the U.S. equity market this week is not the movement of the S&P 500 Index itself, but rather the structural changes taking place within the index. From a valuation perspective, the S&P 500’s overall price-to-earnings ratio remains at a relatively elevated level. Valuations in information technology, real estate, industrials, health care, and other sectors are all materially above the broader market, indicating that U.S. equities as a whole still lack a clear valuation cushion. From a fund-flow perspective, SPY has recorded cumulative net inflows of approximately USD 21.6 billion since July, but fund-flow divergence across sectors has become increasingly pronounced. Capital is not simply leaving the equity market; rather, it is being reallocated a

Hello hope your doing well 

$NVIDIA(NVDA)$ reports fiscal-second-quarter results after the August 26 close, and few investors doubt that demand for its accelerators remains enormous. The harder question is whether the surrounding AI infrastructure can earn enough to support the capital, financing and increasingly expensive components required to deploy Nvidia’s systems at the pace reflected in its valuation. The first quarter, ended April 26 and reported May 20, set an extraordinary benchmark. Revenue increased 85% year over year to $81.6 billion, while Data Center revenue rose 92% to $75.2 billion. Nvidia also authorised another $80 billion of repurchases and raised its quarterly dividend. Nvidia’s official financial-results archive provides the reported figures. The compan

Part 2 And basically a continuation from my bother NVIDIA post earlier this year on my thoughts. NVIDIA reports fiscal Q2 earnings on Wednesday, August 26. Normally that sentence alone would be enough to get attention. But this time the setup is ridiculous. NVIDIA is sitting around a US$5.2 trillion market cap. The stock closed Friday at US$214.72. Wall Street is expecting roughly US$92 billion in quarterly revenue and around US$2.09 adjusted EPS. That would be another extraordinary quarter for a company that is already the largest public company on the planet. And that is exactly where the problem begins. For NVIDIA now, being excellent may no longer be enough. 📊 THE NUMBERS ARE ALREADY INSANE Last quarter, NVIDIA generated US$81.6 billion in revenue, up 85% year on year. Data Center

Bullish on NVDA - One of the Catalyst NVIDIA’s $500B AI Financing Plan —  What It Actually Means?$NVIDIA(NVDA)$   NVIDIA’s newly announced >$500 billion AI infrastructure financing initiative sounds like NVIDIA is spending $500B itself. It isn’t. The $500B refers to a target amount of third-party capital that could be mobilized over time through financing partners such as Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR. The objective is simple: Make it easier for companies to finance AI infrastructure instead of paying the entire cost upfront. 1. Where does the $500B come from? Capital can ultimately come from: * Pension funds * Insurance companies * Sovereign wealth funds * Private cred

$SOXL 20260821 186.0 CALL$ sell call on a green day, sell put on a red day

NVIDIA (NVDA) Q1 FY2027 revenue hit $81.6B (+85% YoY), with Data Center ~$75B (+92%). Q2 guidance is ~$91B (±2%) at ~75% gross margins (China data-center compute excluded). Demand visibility remains strong (multi-year customer commitments; hyperscaler capex forecasts continue rising). Partnerships and platform expansions (including software/models) reinforce the ecosystem. Shares trade around $215 (market cap ~$5.2T), consolidating after strong gains. Consensus is Strong Buy with average targets near $300–$310 (substantial upside). Valuation has compressed to more reasonable levels relative to growth. Future potential: Highest conviction in pure AI compute. Leadership in GPUs, full-stack offerings, and infrastructure financing platforms position it well for sustained multi-year growth. Key

Good

The Market Is Stuck. Nvidia Holds the Key. But Watch Out. This week, bonds called the shots. Next week, all eyes turn to **Jensen Huang** and his AI empire. Since the last earnings report, $NVIDIA(NVDA)$ stock has gone nowhere. Yet options markets are pricing in a ±5.3% swing by Friday’s close. That’s a $562 billion market cap move, up or down. NVDA The Bull Case: Everything Looks Perfect Nvidia carries a 7.6% weight in the S&P 500. Its forward P/E has cooled to ~20, way below the 5-year average of 63. The stock hasn’t rallied into earnings, less risk of a "buy the rumor, sell the news" flush. On paper, Nvidia has everything it needs to reignite the broader market. But Here’s the Catch, According to Bespoke Nvidia is a "triple-play king": Beat

NVIDIA Drops 2.3% Before Earnings — I’m Still Bullish 🚀 NVIDIA just gave investors a better entry point. Shares fell 2.3% Tuesday, as the entire semiconductor complex sold off, with NVDA now sitting around the $225 area ahead of its Aug. 26 earnings. The market is suddenly questioning whether AI spending has gone too far, whether NVIDIA is financing its own demand, and whether challengers like Cerebras and Groq can finally take share. My take? The market is focusing on the wrong risk. I’m bullish into earnings. 1. The fundamental numbers are still extremely hard to ignore NVIDIA’s last quarter was not a company showing signs of slowing down. Q1 FY27 revenue hit $81.6B, +85% YoY, while Data Center revenue reached $75.2B, +92% YoY. Even more important: NVIDIA guided Q2 revenue to approximate

The Philadelphia Semiconductor Index fell 5% on Tuesday, with memory, storage and optical-networking stocks leading the decline. There was no clear deterioration in industry fundamentals. Rising Treasury yields, higher oil prices and profit-taking in crowded AI trades combined to trigger a sharp valuation reset. 1. Semiconductor Sentiment Reversed in One Session On Monday, AI storage was one of the strongest areas of the market: SanDisk gained 8.9% Micron rose 4.1% Western Digital, Seagate and optical-networking stocks also advanced One day later, the trade reversed sharply. Stock Tuesday Segment SNDK −9.0% NAND and enterprise SSDs WDC −7.4% Data-center HDDs MU −7.0% DRAM and HBM AMD −4.3% AI processors AVGO −3.2% Custom chips and networking NVDA −2.3% AI GPUs COHR −12.8% Optical networkin

Hello. Three companies reported on Tuesday. Put the three side by side and no order makes sense. $Fabrinet(FN)$ beat on revenue by about 3.1 per cent and on earnings per share by about 7.5 per cent, both records — and closed down 19.38 per cent at US$482.59. $Home Depot(HD)$ beat on both lines, posted net sales of about US$47.9 billion and its best comparable sales since 2022, and reaffirmed full-year guidance — and closed down 0.12 per cent. $BIDU-SW(09888)$ missed on both revenue and profit, with earnings per share about 22.7 per cent short — and closed down 12.73 per cent. Full marks fell 19 per cent, a pass fell 0.

nvda

$NVIDIA(NVDA)$’s agreement to support a vast OpenAI data-centre project demonstrates the extraordinary scale of AI infrastructure demand. It also deepens a question investors can no longer ignore: how much future demand is being enabled financially by the company that ultimately expects to sell the chips? Nvidia announced on August 17 that it would invest $1.5 billion in SoftBank-backed SB Energy and provide up to $105 billion of financial guarantees connected with an Ohio data-centre campus leased by OpenAI. The site is intended to reach as much as eight gigawatts, with an initial 800 megawatts expected in 2028. OpenAI’s lease runs for 20 years, and Nvidia will supply the project’s accelerators. Reuters’ August 17 report describes the financing s

The semiconductor selloff is a wake up call for investors.  Option B: Higher yields require further valuation adjustment is the absolute core driver.  You cannot look at the tech stocks valuation in a vacuum. With the US 30 year Treasury Bond yield blasting to a 19 year high of 5.33%, paying extreme premium for future unproven tech earnings does not make sense.  Higher yields from the US bonds is like a vacuum cleaner, sucking the speculative liquidity out of high beta tech stocks. The selloff isn't happening because AI demand died.  It is happening because macro physics are forcing a standard valuation reset across the entire sector. While Option B tells you why the market is dropping, Option E is the ultimate strategy for turning that red ink into long term wealth. B

I see Tuesday’s semiconductor selloff as normal profit-taking and valuation compression rather than a fundamental breakdown. Higher Treasury yields, oil above $90 and crowded AI trades created the perfect setup for a sharp pullback, especially after the strong recent rally in memory and optical stocks. For me, the key point is that AI demand, memory pricing and data-center CapEx remain intact. I’ll be watching the 50-day moving averages, particularly for $Micron Technology(MU)$ and $SanDisk Corp.(SNDK)$ , to see whether the sector can stabilize and reclaim key levels. Personally, I’m leaning toward A + E: normal profit-taking and an opportunity to accumulate in stages. I wouldn’t rush in after one red day

I’m leaning toward A — normal profit-taking, with the AI hardware trend still intact. Tuesday’s semiconductor selloff looks more like a valuation reset than a fundamental breakdown. The Philadelphia Semiconductor Index fell about 5%, while memory and optical names such as SNDK, MU and CRDO were hit much harder than Nvidia. The key issue is macro: the 30-year Treasury yield recently reached its highest level since 2007, while Brent crude moved above $90. That combination naturally pressures high-multiple growth stocks. But AI infrastructure demand has not suddenly disappeared. Memory, storage, networking and GPU demand remain tied to massive data-center investment. So I wouldn’t call this an AI-cycle reversal yet. Instead, I’d watch whether SNDK and MU stabilize and reclaim key moving aver

Semis have started their journey downhill and I expect 15-20% decline before next rally.

I view it as A&E (Accident & Emergency 🦺) [LOL] [LOL] [LOL].... Wait for the set-up to Buy the Deep [Evil] @Aqa @DiAngel @JC888 @Barcode @Shyon @koolgal @Shernice軒嬣 2000

$NVIDIA(NVDA)$ is slated to report its Q2 2026 earnings on Wed, 26 Aug 2026. Is it timely to take a closer look at the stock prior to its earnings release ? I think so, especially if there is a chance to take a position before a potential rally. According to Investor’s Business Daily (IBD), the AI chip giant is (currently), holding just above a short handle entry. Near Buy Point ? Last week, shares of the AI chipmaker edged up a fraction, coming in at +0.64%, for the week, enough to put it just -4.8% below a $236.54 buy point from a cup-shape base. Interestingly, NVDA already offered an early entry from a short handle, with the 7 Aug 2026 high of $224.76 marking the exact buy point. The Relative Strength line for the AI chip stock is rising,

What deserves the most attention in the U.S. equity market this week is not the movement of the S&P 500 Index itself, but rather the structural changes taking place within the index. From a valuation perspective, the S&P 500’s overall price-to-earnings ratio remains at a relatively elevated level. Valuations in information technology, real estate, industrials, health care, and other sectors are all materially above the broader market, indicating that U.S. equities as a whole still lack a clear valuation cushion. From a fund-flow perspective, SPY has recorded cumulative net inflows of approximately USD 21.6 billion since July, but fund-flow divergence across sectors has become increasingly pronounced. Capital is not simply leaving the equity market; rather, it is being reallocated a

NVIDIA's $500B AI Deal: The Market May Be Reading It Backwards $NVIDIA (NVDA.US)$ came under pressure after announcing MOUs with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR to mobilize $500 billion+ of third-party capital for AI infrastructure. The headline sounds like NVIDIA is taking on another huge financing commitment, and Nvidia's 5Y CDS jumps by almost 6 bps after the news. The $500B Is Mainly Someone Else's Capital The key distinction is between stimulating demand and funding demand with NVIDIA’s own balance sheet. NVIDIA has already invested heavily across its ecosystem, including AI labs, neoclouds and infrastructure partners. That raised a legitimate concern: if NVIDIA increasingly has to finance its own customers, AI demand becomes more circular and more of