#AIMemoryStressTest

The AI Race Has Entered a New Era The AI industry is entering a completely new phase. If GPUs were once the defining factor, memory has now become the biggest bottleneck for the entire AI ecosystem. Exploding demand for AI is turning High Bandwidth Memory (HBM) and high-performance NAND into strategic resources. This is why the industry is calling the current phase the "AI Memory Stress Test"—a real-world test of whether the global memory supply chain can keep up with the next wave of AI innovation. One of the biggest recent developments is that $SKHYNIX and $SNDK have introduced the world's first High Bandwidth Flash (HBF) standard. By combining HBM-class bandwidth with the massive capacity of NAND, HBF delivers up to 3TB/s of bandwidth and 512GB per package, offering a potential breakthrough for AI inference workloads, one of the fastest-growing segments of the AI market. Meanwhile, $SAMSUNG is accelerating its AI memory roadmap with next-generation zHBM and 400+ layer BV-NAND technology, aiming to deliver higher density, better performance, and improved power efficiency as competition in AI infrastructure intensifies. At the same time, hyperscalers including Microsoft, Google, Meta, and OpenAI continue to increase AI infrastructure spending, with demand for HBM expected to outpace supply for the foreseeable future. That imbalance could strengthen the revenue growth and profit margins of leading memory manufacturers. The message is becoming increasingly clear: the AI race is no longer just about GPUs—it is now a race for memory leadership. Companies that dominate HBM, NAND, and next-generation technologies such as HBF, including $SKHYNIX, $SAMSUNG, and $SNDK, could emerge as some of the biggest beneficiaries as the AI supercycle continues to accelerate. #AIMemoryStressTest #Alphabet25BBond #SP500Eyes8000 $SNDK $SKHYNIX

Let's talk about the non-agricultural data. After reading it, I was shocked and couldn't speak for a long time. - 23,000, expected to be + 80,000, a difference of 100,000. 5 The figures for June and June were revised down by 103,000. In the first two months, I made 100,000 yuan, but this month it turned negative. The cooling speed of the job market is quite rapid. (The power of capital is still too strong) But the unemployment rate, which fell from 4.2% to 4.1%. Jobs are shrinking and unemployment is falling, and these two numbers are a confusing signal. Wage growth has also declined, with a month-on-month growth rate of only 0.1%. After the data came out, the probability of a rate hike in September increased from over 50% to around 44%. The market feels that the Fed can't increase. Then the reaction on the market is very interesting, not a general rise, but a split. $XAU broke through $4370, and futures closed at $4399.7, surpassing the 4400 level. Weak employment → interest rate hikes and cooling → weak US dollar → rising gold, this chain runs through. $SPCX I've been watching for the past two days. On the day of the lifting of the lockdown, it rose by 6%, and the non-farm payrolls surged by 15.83%, closing at $133.11. From near 105 to 133, the cumulative increase in two days is about 23%. The negative impact of the lifting of the lock-up has been digested, the shorts are covering, the expectation of interest rate cut is also pushing, the rise is too strong, I am the happiest 😂 SanDisk $SNDK plummeted from 1326 to around 1200 last night, closing down 3.68%. Weak non-farm data → Decreased expectations of interest rate hikes → High-valued growth stocks should benefit, but SanDisk has been hit. The previous financial report exceeded expectations and fell by 7%. This time, the non-farm benefits did not recover, indicating that the valuation of AI storage has not been fully digested. Seagate fell more than 10%, Western Digital fell more than 5%,$BTC

Gold breaks out. Bitcoin holds. AI storage enters the “prove the returns” phase. A fresh market view from 1011 Insider Whale agent Garrett Jin highlights three important shifts: GOLD Gold has broken out of its previous consolidation range and is now viewed as a potential long-term allocation opportunity. The core thesis remains unchanged: a long-term weakening trend in the U.S. dollar could continue supporting gold. BITCOIN Since BTC approached the $57,700 low in July, the market has continued to satisfy key bottom-building conditions. No change in stance: BTC positions established around $60K are still being held. AI STORAGE The long-term demand story remains strong, but the short-term setup has changed. Garrett Jin previously favored accumulating storage chips on pullbacks. After the market rallied without giving that pullback, he sold half of the rebound positions. Not because the thesis is broken—but because the latest upside appears increasingly driven by capital structure and positioning. The bigger issue is leveraged Korean storage ETFs. JPMorgan estimates exposure has fallen 66% from the peak, while another calculation puts the decline closer to 38%. Either way, leverage has weakened—but has not disappeared. And the demand story remains powerful: • SK Hynix 2026 capacity reportedly sold out • Micron orders extend toward 2028 • AI storage demand could remain strong into H2 2027 But storage is still a cyclical industry. After several hundred-percent rallies, valuation expansion alone becomes harder to sustain. The AI investment cycle may now be moving from: CAPEX → EXPECTATIONS → REVENUE VERIFICATION The market is no longer simply asking: “Who is spending the most on AI?” It is starting to ask: “Who can actually turn that spending into revenue?” That shift could define the next phase of the AI trade. $BTC $XAU #PayrollsDropCPIFocus #Gold4300EasingOrHedge

#Nonfarm unexpectedly turns negative, CPI becomes the key to rate hikes The nonfarm data came out at -23,000, with an expectation of 80,000, directly turning negative. But the unemployment rate dropped to 4.1% because the labor force participation rate fell, just like in previous instances, the data is conflicting with itself. The market reacted quickly, with the probability of a rate hike in September dropping to 44%, while Kalshi's probability of maintaining the current rate actually rose to 65%. Short-term employment data has indeed loosened rate hike expectations, but the real issue is next week's CPI. If CPI rises again, rate hike expectations will bounce back. As always, employment data and inflation data are pulling against each other, with both bulls and bears waiting. $SNDK SanDisk is currently trading in the 1200-1300 range. I estimate that in about a week, SanDisk will likely oscillate between 1200 and 1300. If it breaks below, there will be buyers; if it rises, there will be selling pressure, so both upside and downside are limited. Previously it hit a low of 1186 but did not break 1100, which is better than I expected. This indicates there is still support at this level, and the market has not completely given up on the medium- to long-term logic of storage. The grid strategy has paused because it stopped below the lower boundary of the range at 1219, with the price around 1216. The strategy is paused, but the base position remains. When the price returns above 1219, the grid will automatically resume. If SanDisk really trades in the 1200-1300 range for a week, the grid can resume and continue running, making this range sufficient for grid arbitrage. #PayrollsDropCPIFocus #SpaceXUnlockRebound #AIMemoryStressTest

$SNDK SanDisk's performance is flawless: but it continues to plunge! How should we view and handle this now? Just finished reviewing SanDisk's Q4 earnings, the numbers are unbelievably good: revenue hit 8.97 billion, far exceeding the expected 8.39 billion; earnings per share at $39.25 also beat the expected $34.4. Gross margin soared directly to 84.6%, up more than 6 points from an already impressive 78.4%. Data center revenue reached 2.97 billion, surpassing expectations with 437% growth, and the QLC Stargate product is indeed starting to contribute revenue. Logically, with such explosive data, the stock should have surged violently after hours. What happened? It plunged after hours! Not because of poor performance, but because the market wants the 2027 script, not the 2026 accolades. The Q1 revenue guidance is 10.3-10.8 billion, midpoint 10.55 billion, while the market expected 10.8 billion. That 250 million shortfall is just a breath away. In short, the market logic now is: good performance is expected, good guidance is the real positive. Guidance not hitting the ceiling means failure. So what now? Long strategy: Wait for sentiment to settle. If pre-market can stabilize around 1340-1350, which is the support level of this rebound, consider light buying. Set stop loss below 1300, take profit at 1450-1480. The long-term logic of this stock is intact; AI storage shortages will last at least until mid-2027, and institutional average target price remains above 2400. Short strategy: If the opening rebound can't break through 1430-1450, the high point of this rebound, consider shorting. Set stop loss at 1480, take profit at 1340. If it breaks 1300, increase position targeting 1244. The performance is undeniably strong, but the best buying points are always after panic selling ends, not chasing in the numbness of "meeting expectations." #AIMemoryBullTest #FedHawksVsWeakJobs #SpaceXUnlockRebound

#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 👇

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

#闪迪财报双超预期，新增140亿美元回购授权 SanDisk's earnings exceeded expectations, but the stock price dropped 15%, which is confusing to me. Last night, while lying on the sofa scrolling through my phone, I saw SanDisk released its earnings report. Revenue was 8.97 billion, surpassing the market expectation of 8.48 billion. EPS was $39.25, also beating estimates. They also approved a $14 billion buyback, and with the remaining from before, the total buyback can reach $15.5 billion. The numbers look pretty good, yet the stock fell more than 15% after hours. I stared at it for a while but still didn’t fully understand. After checking around, the market is talking about the Q1 guidance midpoint of 10.3 billion, which is lower than Wall Street’s expectations. Also, the stock had risen too much, expectations were set too high, and when the results came out and didn’t seem strong enough, it got sold off. Last year it rose more than sevenfold, climbing all the way to 2300, so any slight disturbance causes people to run. Additionally, the Changxin incident is also weighing on the whole sector sentiment. The performance itself is fine; AI storage demand is still supporting it. But the valuation is too high, expectations too elevated, so any slight disappointment leads to a sell-off. Retail investors cut losses, institutions unload shares. Good performance, stock price drops,,,, #DailyOrbit

The latest earnings season has delivered a clear message for the storage sector: even exceptional results aren't always enough to lift stock prices. Strong earnings may grab headlines, but forward guidance is what ultimately drives valuations. SanDisk posted a remarkable Q4, with revenue reaching $8.97 billion, up 372% year over year and well above the $8.39 billion consensus. Adjusted EPS came in at $39.25, while gross margin climbed to a record 84.6%. Western Digital also exceeded expectations, reporting $3.75 billion in revenue, a 44% increase from a year earlier. Despite these impressive results, SanDisk fell 7% after hours and Western Digital dropped 11%. The market's reaction came down to one factor: forward guidance. SanDisk forecast next-quarter revenue of $10.3–10.8 billion, with a midpoint of $10.55 billion, below the $11.15 billion analysts had anticipated. Western Digital faced a similar response, as its outlook failed to deliver the upside investors were hoping for. Reflecting the more cautious sentiment, Citigroup reduced its price target for SanDisk from $2,500 to $2,100. In today's market, simply beating expectations isn't enough—companies are expected to exceed increasingly optimistic forecasts. The weakness quickly spread across the broader memory and storage industry. Shares of Kioxia and SK Hynix fell by more than 10%, while Samsung Electronics declined over 6%. South Korea's KOSPI also came under pressure as investors reassessed growth expectations for memory chips. Analysts noted that SanDisk's softer-than-expected outlook dampened confidence across the storage sector, triggering a broader semiconductor sell-off. The takeaway is straightforward: in a market where expectations are already sky-high, future guidance carries more weight than outstanding historical results. Earnings may open the door, but expectations for the next quarter determine how the market values the business. #AIMemoryBullTest #FedHawksVsWeakJobs #Alphabet25BBond