#AIMemoryBullTest

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About AIMemoryBullTest

WDC sank despite a beat as cautious guidance and margin remarks weighed. Sandisk fell after a double beat as next-quarter revenue midpoint missed consensus. Korea's KOSPI plunged as SK hynix flash-crashed premarket and Samsung fell. Nvidia reportedly trimmed memory in some Rubin Ultra models amid tight high-end HBM supply. Is scarcity a pricing tailwind or a limit on AI chip shipments and valuations? Repeated drops in 2x long SK hynix products turn the shortage story into a test of expectations.

AIMemoryBullTest Suositut postaukset

Jun Song
Jun Song
Here is why AI compute and consumer hardware are about to get significantly more expensive, despite what most people think. Common belief says hardware and AI token prices will decline as computing efficiency improves and memory supply increases. But that overlooks the structural reality of the supply chain. At a recent SpaceX earnings call, @elonmusk pointed out that memory supply grows by roughly 20% a year, while demand is growing by 200%. Many expected cheap memory supply from China's CXMT to ease the pressure, but Apple recently received a quote from CXMT that was actually higher than Samsung's. Having talked directly with semiconductor fab engineers, this is entirely expected. Demand is so far ahead of supply that CXMT has no incentive to price aggressively. This gap widened massively after the agent boom earlier this year. Agents consume significantly more tokens by default, causing global inference usage to skyrocket. Better performance brought in a wave of new users, as shown by Codex rapidly crossing 10M users. Meanwhile, compute efficiency gains have been very small. AI labs chose to increase model sizes to raise intelligence, consuming at least double the compute and accelerating demand further. On the supply side, hardware bottlenecks take years to fix. SK Hynix's Yongin cluster only starts its first fab in 2027, with full operations planned for 2033. Even with massive construction starting today, it takes about 5 years for actual supply to land on the market. This is an unsolvable short-term bottleneck. AI inference costs will inevitably keep rising, and consumer hardware will follow. This is why I keep telling everyone to buy the personal hardware now.
给信
给信
The earnings season for the storage sector has given a clear signal that performance can blow through the ceiling, but stock prices still fall. Financial report explosion is only the ticket, the guidance is the pricing anchor SanDisk's Q4 revenue was $8.97 billion, a year-on-year increase of 372%, far exceeding the expected $8.39 billion; Adjusted EPS is $39.25, with a gross profit margin of 84.6%, reaching a historical high. Western Digital's revenue was $3.75 billion, a year-on-year increase of 44%, which also exceeded expectations. Both companies delivered impeccable results, with SanDisk falling 7% after hours and Western Digital falling 11%. There is only one core reason: the guidance is not impressive enough. SanDisk's revenue outlook for the next quarter is $10.3 billion to $10.8 billion, with a median of $10.55 billion, lower than FactSet's expected $11.148 billion. Western Digital also faced disappointment of "not enough surprises." Citigroup lowered its target price for SanDisk from $2,500 to $2,100. What the market wants is not "good," but "better than expected." When expectations have been pulled to the ceiling, any number below "perfect" is penalized. The three forces that crush the plate are fermenting at the same time The sell-offs of SanDisk and Western Digital quickly spread throughout the storage chain. Kioxia and SK Hynix plummeted by more than 10%, while Samsung Electronics fell by more than 6%. The KOSPI index fell by 5%, SK Hynix fell by more than 9%, and Samsung Electronics fell by more than 6%. Daxin Securities clearly pointed out that SanDisk's lower-than-expected performance guidance weakened the market's investment confidence in the storage chip industry, and the significant pullback in the semiconductor sector became the main reason for the decline in KOSPI that day. Nvidia is evaluating a reduction in the HBM configuration of the Rubin Ultra from HBM4e 12Hi to 8Hi or other options. The reason is that the overall DRAM shortage in 2027 limits HBM wafer production capacity,$BTC #$SNDK #存储股财报后下挫,AI内存牛市还稳吗?
Felix.Crypto
Felix.Crypto
Alphabet's $25B Bond Sale: A Major AI Catalyst for $SNDK and $SKHYNIX Alphabet has successfully raised $25 billion through one of its largest bond offerings of the year, issuing debt across ten maturities ranging from 2 to 40 years. The capital will fund new AI infrastructure, including hyperscale data centers, next-generation AI chips, and cloud expansion. Even more impressive, the offering reportedly attracted around $115 billion in orders, more than four times the amount issued, underscoring Wall Street's confidence in Alphabet's long-term AI strategy. This is another clear signal that the AI investment cycle is far from over. Alongside Amazon, Meta, and Oracle, Alphabet is accelerating capital spending, reinforcing expectations that demand for AI hardware will remain strong for years. That is why $SKHYNIX and $SNDK stand out as key beneficiaries. $SKHYNIX leads the high-bandwidth memory (HBM) market, a critical component powering NVIDIA's AI GPUs. As Alphabet expands AI infrastructure, demand for HBM should continue rising, supporting both revenue and margins. Meanwhile, $SNDK benefits from surging demand for high-performance enterprise storage. AI workloads require enormous datasets to be stored and accessed at ultra-low latency, making advanced SSD solutions indispensable for next-generation data centers. The impact extends beyond semiconductors. Alphabet's latest investment reinforces confidence across the AI supply chain, supporting $NVDA, $AMD, $AVGO, $SKHYNIX, and $SNDK, while improving broader market risk sentiment. A stronger AI investment cycle could also benefit crypto by encouraging a risk-on environment, supporting $BTC, $ETH, and $SOL as institutional capital continues flowing into high-growth technology. Alphabet's latest bond sale is more than financing—it is another powerful vote of confidence that the global AI race is accelerating, with memory and storage leaders positioned to capture long-term growth. #Alphabet25BBond #FedHawksVsWeakJobs #SandiskBeatAndBuyback $SNDK $SKHYNIX
(浩泽)
(浩泽)
"When bad economic news sends tech stocks higher, but storage stocks still collapse, that's when you know something deeper is breaking beneath the surface." Nonfarm payrolls were supposed to be bullish for high-valuation tech. July employment unexpectedly fell by 23,000, versus expectations for an 80,000 increase, while May and June payrolls were revised down by another 103,000 jobs. Treasury yields dropped, rate-cut expectations strengthened, and the Nasdaq opened in the green. Yet storage stocks immediately rolled over. • $STX: -10.5% • $SKHY: -6.6% • $WDC: -5.9% • $SNDK: -5.0% • $MU: -3.5% That's the real story. The jobs report may have been the trigger, but the sell-off feels like something much bigger: crowded positioning and sky-high expectations finally colliding with reality. For months, investors treated HBM, DRAM, NAND, and HDD as one giant "AI storage supercycle" trade. Money poured into everything connected to AI infrastructure, pushing valuations to extreme levels. Now, as concerns about economic growth rise, capital is hitting the exit button across the entire sector. What's interesting is that the fundamentals haven't suddenly collapsed overnight. Micron and SK Hynix are tied to HBM and DRAM. Sandisk is exposed to NAND and enterprise SSDs. Seagate and Western Digital dominate near-line HDDs. AI demand didn't disappear this morning. What we're seeing looks less like the end of the cycle and more like a brutal repricing of expectations. The biggest warning sign is this: falling bond yields and a stronger Nasdaq couldn't save the sector. When a group of stocks ignores favorable macro conditions and keeps falling, it usually means sellers are still in control. The next things to watch are simple: — Are storage prices continuing to weaken? — Are margins starting to compress? — Are cloud companies slowing orders? Until those signals appear, calling the AI storage boom dead is probably too early. #DailyOrbit
L Y L A
L Y L A
The reaction across memory and storage stocks this week taught me something important: AI demand can remain strong while AI-related stocks still fall hard. Western Digital beat estimates with roughly $3.75B in quarterly revenue and $3.56 adjusted EPS, yet investors punished the stock. Sandisk also delivered a strong quarter, including $8.97B revenue, but its next-quarter revenue midpoint failed to clear the expectations already built into the price. That distinction matters. The market isn't asking whether AI needs more storage and memory anymore. It already believes that. It is asking whether scarcity, pricing power and margins can keep improving fast enough to justify valuations that have already moved several years forward. That's a much harder test. Sandisk and Western Digital had risen dramatically during the AI infrastructure trade before this correction, so simply “beating estimates” became insufficient. Investors wanted another acceleration. Meanwhile, actual memory supply still looks tight. NVIDIA and SK Group recently expanded their long-term partnership around next-generation AI memory, while industry research says 2027 HBM negotiations remain constrained by limited supply. There are even discussions around reducing memory configurations in future Rubin Ultra designs because of packaging and supply constraints. If that happens, I would not automatically interpret it as weaker AI demand. It could be engineers adapting the product to what the supply chain can realistically deliver. That's the real bull test now: Not “Is AI consuming more memory?” But “Can memory suppliers convert scarcity into durable earnings before expectations outrun reality?” That is the metric I would watch. #AIMemoryBullTest #FedHawksVsWeakJobs #SpaceXUnlockRebound $BTC $XSPCX $SOL
ilham_BNB
ilham_BNB
🇰🇷 Why Did SK Hynix ($SKHYNIX) Fall Despite Announcing a Dividend? Many expected the stock to rally after today's shareholder return announcement, but it declined instead. Here are the three main reasons: 1️⃣ Expectations were simply too high. For weeks, the market had been pricing in rumors of a massive KRW 66.4 trillion shareholder return package, including buybacks and special dividends. Instead, SK Hynix announced only a KRW 375 per-share quarterly dividend and said additional shareholder return measures will be finalized in Q3. While the company reaffirmed that more details are coming, investors viewed today's announcement as underwhelming. 2️⃣ The good news was already priced in. SK Hynix has been one of the biggest drivers of the Korean market this year, with a massive rally fueled by AI and HBM demand. After such a strong run, many investors used the announcement as an opportunity to lock in profits, leading to a classic "buy the rumor, sell the news" reaction. 3️⃣ The entire memory chip sector is under pressure. The weakness wasn't isolated to SK Hynix. Memory stocks globally have been correcting amid concerns over AI valuations, HBM demand expectations, and potential future oversupply. That negative sector sentiment dragged SK Hynix lower despite its long-term expansion plans. 📌 Bottom line: Today's decline doesn't necessarily signal deteriorating fundamentals. It reflects a combination of overheated expectations, profit-taking after a strong rally, and broad weakness across the memory semiconductor sector. Investors are now waiting for the company's detailed Q3 shareholder return plan to determine the next catalyst. #SKHynix #Semiconductors #AI #HBM #Stocks #Korea #Investing
Mr. Fareed Ahmad 📊
Mr. Fareed Ahmad 📊
📉 $SNDK: Why Did the Stock Fall After a Huge Earnings Beat? At first glance, the reaction looks confusing. Q4 Revenue: $8.965B Market Estimate: ~$8.4B That's a significant beat. So why did $SNDK sell off? The answer is simple: Markets trade expectations, not just results. 1️⃣ Good News Was Already Priced In Sandisk delivered an impressive quarter, but investors were already expecting exceptional numbers after the stock's massive rally. When expectations become extremely high, even excellent earnings can trigger “sell the news” behavior. 2️⃣ Forward Guidance Matters More Than the Rear-View Mirror The real question for investors was: “What's next?” Sandisk guided fiscal Q1 revenue to approximately $10.3B-$10.8B, with the midpoint slightly below Wall Street's expectations. So the market saw: ✅ Excellent Q4 ⚠️ Very high expectations ⚠️ Forward guidance not strong enough to create another major upside surprise That combination can trigger profit-taking. 3️⃣ This Is Still a Highly Cyclical Memory Business Memory and storage companies can experience powerful earnings cycles driven by pricing, supply, demand and capacity conditions. When a cyclical stock has already experienced an enormous repricing, investors become much more sensitive to signs that growth or margins may be approaching a peak. 4️⃣ The Market Doesn't Reward “Good Enough” This is one of the most important lessons in trading: Beat expectations → not necessarily bullish. If the market expected a huge beat and the company delivers only a normal beat, traders can still sell. Price reacts to the difference between expectations and reality, not simply whether the numbers are objectively good. $SNDK #SNDK #Stocks #StockMarket #Earnings #TradingStrategy #TechnicalAnalysis #Semiconductors #AI
M.Ishaq1919
M.Ishaq1919
Alphabet's $25B Bet: Big Tech Is Doubling Down on AI Alphabet is preparing to raise up to $25 billion through a bond offering to expand AI infrastructure, cloud computing, and next-generation data centers. This is more than just a major financing deal—it signals that the global AI race is entering its most aggressive investment phase yet. Alphabet isn't alone. Microsoft, Meta, Amazon, and Oracle are also ramping up capital spending to build AI data centers, driving long-term demand for HBM, DRAM, NAND Flash, and high-performance memory solutions. Key beneficiaries include: $MU (Micron): Well-positioned to benefit from surging demand for HBM and DRAM as NVIDIA, AMD, and enterprise AI platforms require increasingly larger memory capacity. $SKHYNIX: Continues to lead the HBM market and remains a critical supplier for next-generation AI chips. Tight supply and strong demand support a positive outlook for revenue and margins. $SNDK (SanDisk): Expected to gain from the rapid expansion of AI storage while advancing High Bandwidth Flash (HBF) technology with SK Hynix, paving the way for the next generation of AI memory solutions. One of the strongest bullish signals is that Big Tech companies are willing to raise tens of billions of dollars even in a higher interest-rate environment. That reflects growing confidence that AI will remain a multi-year growth engine rather than a short-lived trend. As AI infrastructure investment continues to accelerate worldwide, $MU, $SKHYNIX, and $SNDK are emerging as some of the most direct beneficiaries, supplying the critical memory technologies powering the next wave of AI innovation. #Alphabet25BBond #Polymarket20BValuation #AIMemoryBullTest $SNDK $SKHYNIX $MU
TBNG_OKX
TBNG_OKX
#AIMemoryBullTest AI's Biggest Constraint May No Longer Be Chips. It Could Be Memory. For the past two years, the AI investment story has largely centered around GPUs. Now, memory is becoming just as important. This week highlighted that shift. Western Digital (WDC) and Sandisk both reported earnings that beat expectations, yet their stocks declined after cautious guidance. Meanwhile, South Korea's chip sector sold off sharply, with SK hynix experiencing a premarket flash crash and Samsung also coming under pressure. Adding to the debate, reports suggest Nvidia reduced memory configurations in certain Rubin Ultra models due to tight supplies of high-end HBM (High Bandwidth Memory). That raises an important question. Is memory scarcity a bullish signal because constrained supply supports pricing and margins? Or is it becoming a bottleneck that limits AI server shipments and slows the pace of AI deployment? Markets appear divided. Investors have spent months rewarding companies exposed to AI infrastructure, but expectations have also become exceptionally high. As a result, strong earnings alone are no longer enough—companies must also convince investors that supply chains can support the next phase of AI growth. The AI race isn't just about who builds the fastest chips. It's increasingly about who can secure the memory needed to power them. Do you think memory shortages will strengthen pricing power or become the biggest constraint on AI growth? Share your thoughts below 👇
alaya lilly
alaya lilly
AMD Earnings Review → SanDisk $SNDK Tonight's Prediction AMD beats expectations + strong guidance → falls 9% after hours Reason: Gross margin below expectations, good news already priced in Same logic for SanDisk tonight, bearish SanDisk earnings release tonight (early morning August 6 Beijing time) Expectations: Revenue $8.3B / EPS $34.24 Price has risen 32% from the low of 1123, expectations fully priced in Price going up means short. Above 1420, short short short, live in the palace #AMD财报超预期,增长已被透支? $AMD $SNDK $SNDK