Orbit Post Sitemap

Why is Tesla's $1.95 billion all-stock acquisition of AI hardware for only 222 million yuan fixed in price? $1.95 billion, all paid in stock, not a single cent in cash—this is the core data of Tesla's AI hardware acquisition. Breaking it down, the consideration is split into two parts: $222 million is a fixed consideration, used to buy the target company's patents and related developed technologies—these are hard assets obtained with real money; the other $1.73 billion is contingent consideration, directly linked to the target's performance targets and service conditions. Only when the technology deployment meets Tesla's stage standards will this value be gradually recognized. What does this structure mean? In other words, Tesla only used 11% of the entire deal as a "down payment" to lock in the other party's core patents and team. Whether the remaining 89% can be secured depends entirely on whether the acquirer can truly implement the technology. You might be wondering, why not the previously mentioned $2 billion? When Tesla first disclosed its acquisition intentions in April this year, it did announce a maximum deal size cap of $2 billion, but at that time, no details about the price structure were disclosed. The final delivered $1.95 billion is $50 million less than the ceiling, You might also be wondering, what exactly is tied to this $1.73 billion deal? Sorry, Tesla has not made this public. The 10-Q regulatory document only clarifies that this portion of compensation is "linked to performance targets and service conditions," but it does not disclose specific quantitative assessment indicators or service condition requirements. Tesla did not provide any details during the earnings call. You might then ask, how exactly was this money paid? All payments were made in Tesla's common stock and equity awards, with no cash consideration. The advantage of acquiring shares is that the core team of the acquired party gets Tesla shares, and their interests are tied to Tesla's stock price—the faster and better the technology is implemented, the more Tesla's stock rises, and the more valuable the shares they hold. This design itself is a powerful incentive binding. There is another key piece of information: "No": Tesla did not disclose the names of the acquired companies, team size, or core businesses. Speculation circulating in the market includes DensityAI (an AI accelerator startup founded by former Dojo supercomputer members) and Atomic Semi (a semiconductor manufacturing tools company co-founded by Jim Keller), but neither name has been officially confirmed by Tesla; these are speculations from industry media, not official information. Finally, a point that's often overlooked but very important: Tesla has acquired fewer than 10 companies in its history, most of which focused on battery technology and manufacturing automation. This time, spending nearly $2 billion to buy an AI hardware company is unusual in both the amount and direction. The reason for breaking the usual practice of in-house development and external acquisition is that the company's technology is a key intellectual property Tesla cannot obtain through internal R&D or from other Musk companies (including SpaceXAI). #Financial Report Observer: Can Microsoft, Meta, and Amazon Hold Down the AI Narrative? $TSLA I started shouting about this coin from 0.1, and now it's finally verified No, today we're not talking about coins Let's talk about AI open source Jensen Huang first promoted the open-source AI open letter It has received collective endorsement from the industry Did you see this news? Then guess what On the same day, the incident of OpenAI models hacking Hugging Face was escalating U.S. Congressmen Directly Propose AI Emergency Shutdown Act Both open source and regulatory channels are racing forward simultaneously Jensen Huang pushed Yuanxin at this moment Not just picking sides The more NVIDIA chips sell, the more The AI ecosystem increasingly needs a diverse model ecosystem If AI is monopolized by a handful of closed-source companies Long-term hardware demand actually suppresses it Open source means more players are entering the field More players mean more chip demand Now let's look at regulation The incident of OpenAI models being hacked into Hugging Face Bringing AI safety to the center of public opinion If the emergency shutdown bill really passes The AI model release process is strictly controlled For the open-source community, this is a double-edged sword Strictness will affect the pace of innovation But a regulated ecological environment is more beneficial for large companies So my judgment is The debate over "open source vs. closed source" in AI is accelerating Jensen Huang has already chosen the side The market is also repricing the structure of the AI track In the short term, this news is somewhat positive for computing power-related stocks In the long run, regulatory uncertainty remains But the direction is clear—AI will not regress Intel's Q2 surge of 25%: this veteran giant has truly come back to life Intel recently delivered an earnings report that silenced Wall Street as a whole. Q2 revenue was $16.13 billion, a year-on-year surge of 25%. What is the market expectation? 14.43 billion. It directly exceeded 1.7 billion. Data center and AI business revenue was $6.26 billion, with strong profit data. Who would have believed this data two years ago? The core driving force behind this wave of growth is the start of the 18A process foundry business. Intel has just become the world's first High NA EUV mass production company, with an 18A yield rate already reaching 85%. Orders for the SP6 for Feita's security chips are already running on the production line. Even more impressively, rumors spread that Intel had secured major contract orders from NVIDIA and OpenAI—if true, this would be Chen Liwu's first public contract since taking office. Don't forget, Intel is still investing heavily to expand production capacity. 5 billion euros will be invested in Ireland's LexLip wafer fab to expand new production lines. The signal of this move is clear: Intel is going all in on foundry business, not just making slogans. Intel's transformation story in recent years has been met with skepticism from outsiders. The IDM 2.0 strategy has been called out for years, and "opening up OEM services to the outside world" sounds great, but no one has ever seen real cash orders. Now the data is here. The Q2 earnings exceeding expectations were no coincidence; it was the result of a combined effect of the 18A process yield climbing to 85%, mass production of High NA EUV equipment, and successive orders from major clients. Looking at these matters together, Intel's foundry business isn't just a PowerPoint story—it's actually running production capacity. For Intel, if its foundry business really takes off, it means its business model will upgrade from "selling CPUs" to "selling CPUs + selling capacity." This imagination is on the same scale as TSMC. In the past two years, the spotlight for AI chips has been on Nvidia, while Intel seems like a forgotten veteran. But the Q2 data shows one thing: in the AI era, computing power needs are not limited to GPUs; CPUs also have essential needs. The $6.26 billion in data center revenue is driven by sustained demand for AI inference, databases, and traditional cloud services. The GPU handles training, the CPU handles inference and peripheral workloads; this division of labor won't change anytime soon. Intel's core CPU foundation is still intact, and its foundry business is moving upward—two legs are more stable than one. After Chen Liwu took office, Intel clearly accelerated. From mass production of High NA EUV to rumors of securing major client orders, the pace is much faster than the previous model. Perhaps this is the effect of the coaching change—the new CEO has no historical burdens and makes decisions faster and more decisively. Can Intel truly return to the top? Frankly, a single round of financial reports doesn't tell the whole story. TSMC's foundry moat remains deep, with progress leading at 3nm and 2nm. Whether Intel's 18A can secure enough external customers remains to be seen, with more orders to be verified. But at least this time, Intel delivered a report card that rekindled market confidence. The IDM 2.0 strategic transformation is beginning to show results, and the strong resurgence of traditional CPU manufacturers in the AI era is truly happening this time. The drama of a comeback by a veteran giant is only just beginning. #长鑫科技上市, global storage competition adds variables $INTC $CORE $CORE 今天又有吹子托是偷换概念忽悠人，说7月27日core今天正式接入比特币电网这件事，全程文字包装造势一、比特币电网（Bitcoin Power Grid）根本不是外部重磅合作，只是自家概念包装 1. 这是Core基金会2025年底就发布的内部战略框架，不是7.27全新落地的外部对接合作，从头到尾都是自家公链产品线整合，不存在第三方巨头、比特币官方机构入局； 2. 类比“电网”只是营销比喻，本质就是把质押、借贷、SatPay、资管产品打包归类，没有独立底层协议、没有跨链互通协议落地，只是叙事名词升级； 3. 不存在“所有BTCFi应用必须接入Core”，Stacks、Babylon等纯正BTCFi赛道项目完全独立运行，根本不依托这套所谓电网，垄断万亿BTC资本纯属夸张噱头。二、算力、机构资金的数据注水严重，无实质增量 1. “90%比特币算力接入安全体系”是偷换概念：Satoshi Plus只是借用BTC PoW共识验证，并非全网算力节点入驻生态，BTC矿工只是底层安全背书，不会主动把资产、资金导入Core生态； 2. 所谓打通家族办公室、托管机构：BitGo、KODA只是新增验证节点，仅提供托管通道，没有机构批量资金进场质押，链上新增质押BTC体量长期停滞，TVL靠马甲账户对倒刷数据； 3. LST、AMP资管闭环只停留在内测预约，没有机构规模化资金部署，没有产生持续性手续费流水。三、最关键矛盾：软文大谈营收飞轮回购，官方现在全程绝口不提回购 1. 文章核心画饼：生态手续费用来回购CORE、改善抛压，但现实完全相反： SatPay喊了大半年商用，目前只有2万多人等待预约名单，实体借记卡、线下消费场景迟迟不开放，至今没有规模化营收，一分钱手续费利润都没有； 2. 正规公链回购会公示钱包地址、按月披露回购金额，Core从未公开回购账户，链上查不到定期大额二级市场买单；少量零散买盘只是做市维持流动性，不是承诺的营收回购； 3. 项目方已经悄悄弱化区块Gas销毁机制，手续费全部划入基金会运营池，非但没有通缩，反而增加基金会可抛售筹码；团队每月千万枚零成本筹码持续解锁抛售，一边源源不断砸币，一边宣传回购，本身自相矛盾。四、为什么偏偏币价创出新低时发布这篇利好？核心目的维稳出货 1. 当前盘面持续新低、社群负面情绪爆发，量化等额卖单全天分层砸盘，场内深套散户质疑声暴涨，放出重磅叙事软文，稳住持仓人不要集体割肉，保住承接盘； 2. 每次利好带来的短暂脉冲反弹，都是项目方集中抛售解锁筹码的窗口期，所谓多头欢呼，本质是吸引抄底散户接盘； 3. 没有新场外资金入场，场外早已形成避雷共识，这篇文章只用来安抚存量套牢盘，拉新价值几乎为零。五、原文轻描淡写带过的致命风险，才是决定行情的核心 1. 永续海量解锁抛压无法化解：团队36个月线性解锁、国库抵押筹码待变现，可控7亿枚筹码供给远大于市场承接力，电网叙事改变不了代币经济根本缺陷； 2. 商业化周期极度漫长，飞轮短期不可能落地：营收飞轮需要SatPay普及、海量BTC交易手续费支撑，至少还有半年以上空窗期，短期完全无法改变阴跌趋势； 3. 全程中心化操盘，DAO只是包装概念：电网战略、筹码抛售、量化做市全由核心团队单方面决策，社区无权监督，没有外力倒逼团队兑现回购承诺。 ⚠️风险提示：虚拟货币交易炒作在我国属于非法金融活动，内容仅客观拆解项目叙事与盘面逻辑，不构成任何投资交易建议。 #长鑫科技上市，全球存储竞争添变量 China's DRAM leader ChangXin Memory Technologies officially listed on the STAR Market, raising funds for capacity expansion and technology R&D. The global memory landscape faces a new variable, breaking the original oligopoly dominated by Samsung, $SKHYNIX, and $MU Micron. Here's my independent analysis. Current core industry status: For a long time, the three overseas giants have occupied over 90% of the global DRAM market. Under the current AI wave, these giants are actively shifting capacity toward high-margin HBM high-end memory, tightening supply of general DDR products and leaving huge market space for ChangXin. Objective recognition of the gap: At present, ChangXin's main products are general memory. There remains a significant technological gap in HBM high-end storage essential for AI computing power, making it difficult in the short term to enter the supply chains of overseas AI giants like NVIDIA. Global supply pattern reshaping ChangXin's listing secures long-term expansion capital, continuously increasing production scale. Downstream server and consumer electronics manufacturers gain a stable supply channel, weakening the unilateral pricing power of overseas giants. The phase of sharp price surges in general DRAM will be checked, benefiting downstream tech companies in controlling hardware costs. Distinguishing track opportunities and strength differentiation Opportunities: AI computing power continues to expand, and the long-term prosperity logic of the memory track remains unchanged. Risks: The track stratification is very clear; the HBM high-end market is still firmly controlled by Korean companies; competition in general memory intensifies, and if the industry cycle declines, price war pressure will quickly emerge. Memory is a strongly cyclical industry, and high-level profits are hard to sustain permanently. Signals transmitted to risk assets Tech hardware is a global risk appetite barometer. The prosperity of the memory supply chain indirectly affects tech stock sentiment, which in turn transmits to the crypto market. If memory demand remains strong, global tech sector sentiment warms, benefiting risk assets; conversely, weakening hardware demand will suppress valuations across growth tracks. My personal view: Do not blindly speculate on domestic substitution expectations in the short term. ChangXin's listing is a long-term industry positive but cannot immediately bridge the high-end technology gap. Key signals to follow later: ① ChangXin's capacity release progress and breakthroughs in HBM technology R&D; ② Spot price trends of general DRAM to judge the position of the memory cycle. What do you think? Can domestic memory continue to break through and eventually break the overseas manufacturers' monopoly in AI high-end memory?[Pharaoh's Market Watch] The Federal Reserve will announce its interest rate decision early Thursday morning. Can Bitcoin break through 70,000? Pharaoh says directly, this meeting is the most exciting one of 2026. Market expectations and economists' views are completely split, with a rare "almost 50-50" situation. Just a week ago, the probability of a rate hike was 13%, now it has surged to 38%. The triple pressure of oil prices breaking 100, Middle East conflicts, and tariffs has completely reversed the inflation narrative. On the other hand, a Bloomberg survey of 76 economists shows that all respondents expect no change this time. The market is betting on a rate hike, economists say no change; two groups face each other, neither convincing the other. The new chair, Waller, is the biggest variable. Upon taking office, he clearly stated he would completely abandon forward guidance, saying every meeting is a "real-time" adjustment. This means the familiar "Fed will tell you the next step in advance" approach is no longer valid. What does this mean for Bitcoin? The options market is already betting in advance; someone has bought about $2.5 billion nominal call options, betting Bitcoin will surge to 72,000 after the decision. But Pharaoh must remind you, if there is an unexpected rate hike, risk assets will inevitably come under pressure. On Wednesday night, watching Waller's words is more useful than watching the candlesticks. Before the boot drops, don't heavily bet on direction. As always, Pharaoh neither shorts to death nor longs to death, only plays smart! That's how you survive! Follow Pharaoh, and your wealth won't get lost! $BTC $ETH $SHIB #美联储周四凌晨公布利率决议 I'm now full of cash, unsure whether I should enter It's not that I'm hesitating, it's just that a few pieces of news came out today It makes me feel that I can't rush to this position right now Let's start with WEMIX A security incident has been confirmed, and contract ownership has been compromised Although the official announcement advises users to trade cautiously, But security vulnerabilities of this level Often, it can't be resolved in a day or two Then guess what On the same day, Storj Labs filed for Chapter 11 bankruptcy reorganization The business said it would continue to operate But Chapter 11 is bankruptcy protection Investors almost always run off to pay their respects when they see this term One more time BitMart has not processed any single transactions over 2 million yuan in the past 24 hours. $50,000 withdrawal An exchange does not process large withdrawals for more than 24 hours This signal is extremely dangerous This suggests that liquidity may be a problem Let's look at the three pieces of news together Today is a typical "crisis of trust day" WEMIX is the chain hacked Storj is the project team that went bankrupt BitMart is stuck on exchange withdrawals Every type of risk has been revisited So my judgment is The best strategy now is to wait and see Holding a U in your hand is safer than holding any coin Wait until these risk events are fully digested waiting for the market to clear out the affected wallets It's not too late to find another chance to get in Don't think missing out is more terrifying than losing money During a period of intense security incidents Not losing is winning There are a few more noteworthy topics today, so let's talk about them together: #三星Galax 📌 Live trading statement Current holdings: $BTC long-term spot holdings + regular investment in index funds. Do not touch contracts, leverage, or short-term swing trading. This batch of news does not change the existing position plan but updates the watchlist: South Korea's AI supply chain-related targets are included in long-term tracking. --- 1. BitMart Shutdown: Liquidity crisis spreads among small and medium-sized exchanges After BitMex, BitMart also announced its shutdown. The CEO tweeted that he only found out after seeing the announcement—ten days ago, he was still attending an event on the Tokyo representative platform, and ten days later, the company was closed. Two possibilities: either the governance structure is just a formality, and the CEO is just a mascot; Either the capital chain broke so suddenly that even executives were kept in the dark. Either way, the meaning for users is the same: your assets may not be in a place you think is safe. From FTX to BitMex to BitMart, the pattern has never changed: after the shutdown announcement comes out, the queue is already packed to withdraw coins. Trading Judgment: If you have assets on BitMart, do so now—don't wait. Asset security comes first; don't leave them overnight on small exchanges. Cold wallets > large firms > small firms—this is not anxiety, but discipline. The issue of not setting stop-loss lines isn't how much you lost, or whether you can recover after losing money. #交易所风险 #资产管理 #加密安全 # --- 2. South Korea's all-in AI: The $3 trillion plan may still be conservative Lee Jae-myung went to San Francisco to meet four people Changxin Technology goes public, completely breaking the global storage tripartite stalemate, adding a new core competitive variable to the industry #长鑫科技上市，全球存储竞争添变量 Over the past twenty years, there has been an ironclad rule in the global DRAM market: Samsung, SK Hynix, and Micron have monopolized over 95% of the market share. Pricing power, production capacity rhythm, and technology iteration have all been dictated by these overseas giants. The industry's price fluctuations have been entirely controlled by their joint production cuts, leaving the domestic electronics industry passively bearing the cost shocks of wild price swings. Today, Changxin Technology officially debuts on the STAR Market, marking not just the capitalization of a domestic chip company, but the emergence of the world's first independent fourth-largest supplier outside the US-Korea system in the global storage industry. This directly rewrites the fundamental rules of global competition and injects a new variable into the storage supercycle. 1. Fundraising from IPO directly breaks two major monopoly weapons of overseas giants 1) Ending the "capacity control and price harvesting" hegemony Previously, the storage industry's cyclical trap logic was very clear: during downturns, overseas giants shut down production lines and shrink supply to raise prices; during upturns, they release capacity in a concentrated manner, squeezing out new players with low prices, repeatedly harvesting global downstream manufacturers through monopoly status. Changxin's IPO raised 29.5 billion yuan, all allocated to expanding production at its Hefei and Beijing bases. By the end of 2026, monthly wafer capacity will reach 350,000 pieces, and by 2028, its global market share is expected to challenge 15%. From now on, the global market gains a supply source that is not constrained by overseas geopolitical policies and can continuously and stably expand volume. Future DDR5 and LPDDR5 general-purpose memory will hardly experience artificially induced shortages and price surges. Storage cycle volatility will be smoothed long-term, and the overseas giants' profit logic based on production control and harvesting will be directly weakened. 2) Dissolving the global supply chain's single dependency risk Global cloud providers, smartphone, PC, and automotive end manufacturers are simultaneously restructuring procurement strategies: previously limited to choosing one of the three giants, now adopting a "three giants guaranteed minimum + Changxin shared orders" dual supply chain approach. Google, domestic Alibaba Cloud, ByteDance, Xiaomi, and OPPO have already widely introduced Changxin's DDR5/LPDDR5X products. Even if an overseas supplier cuts off supply due to geopolitical conflicts, general memory supply will not be completely interrupted. The supply chain security logic is thoroughly rewritten, and Changxin secures structurally rigid demand orders from global customers, locking in the market base long-term. 2. AI computing power era misaligned competition: giants voluntarily yield the track, Changxin precisely fills the market gap A core contradiction often overlooked in the industry, and the underlying dividend enabling Changxin's rapid breakthrough: The AI boom has spawned highly profitable HBM. Samsung, SK Hynix, and Micron are aggressively cutting general DRAM capacity, shifting wafers, equipment, and manpower entirely to the high-end HBM track. Single HBM chip profits are more than three times that of ordinary DDR5, causing a persistent supply gap in the general memory market. Changxin perfectly seizes this era window: 1) Technologically, it has completed leapfrog R&D, bypassing EUV limitations by using DUV multiple exposures to achieve 17nm DDR5 mass production. LPDDR5X speeds match international first-tier standards, with yields exceeding 90%, fully covering server, mobile, and automotive general storage needs; 2) On the product side, it has completely ceased production of outdated DDR4, switching the entire production line to high-end DDR5 and LPDDR5X, perfectly inheriting the mid-range large-capacity memory market vacated by the giants; 3) On the client side, domestic terminal self-sufficiency rose from 10% in 2023 to 35%, overseas terminal procurement shares continue to climb, forming layered and misaligned competition with the three giants, avoiding direct competition for the high-end HBM cake and evading direct technical siege. 3. Objectively dissecting the real gap: no blind hype, clarifying the three-layer global competition game Most articles online only hype domestic breakthroughs but avoid objective technical generation gaps. Here is a complete dissection of the four-tier layered pattern: First tier (the three US-Korea giants) Holding HBM high-end computing storage, 1α/1β advanced processes, full-category storage (DRAM+NAND) complete layout, monopolizing the AI high-profit track, quarterly profits in the hundreds of billions, technology leads domestic by 2-4 years. Second tier (Changxin Technology, global fourth) Focusing only on the general DRAM track, HBM is still in R&D verification stage with no large-scale shipments; current global share is 7.67%, expected to challenge third place by end of 2026. Advantages include independent supply chain, domestic policy and internal demand market support, and production capacity expansion speed far exceeding overseas giants (domestic factory build cycle only 12 months, overseas average 24 months). Core competitive variables 1) Short term (1-2 years): general memory market competition, Changxin continues capacity expansion diluting giants' pricing power, smoothing industry cycles; 2) Mid term (3-5 years): catching up in the high-end HBM track, determining whether domestic storage can enter the AI computing core profit pool; 3) Long term: global storage industry moves from "tripartite monopoly" to a stable four-strong pattern of "three giants + one pole," with Chinese storage holding permanent structural discourse power. 4. Industry chain chain reaction brought by the IPO 1) Upstream equipment/materials Huge fundraising and capacity expansion will continuously drive orders for domestic photoresists, targets, specialty gases, and etching equipment, accelerating the localization progress of the storage industry chain and forming a positive cycle; 2) Downstream terminal manufacturing Memory procurement cost fluctuations for smartphones, servers, and new energy vehicle companies narrow, no longer passively bearing overseas chip price hikes, protecting domestic terminal profit margins; 3) Global capital pattern A domestic storage leader with a trillion-yuan market value is born, global semiconductor funds are redistributed, foreign capital institutions must allocate Chinese storage assets, breaking the overseas capital monopoly in the storage track. "🔥Using the Six-Dimensional Stock Trading System (STS) to Review the Birth of Changxin Technology, the 'New King' of A-Shares" Wow! Changxin Technology opened with a 470% increase, with a market cap of 3.3 trillion yuan❗️ Issue price was ¥8.66, opening price ¥49.5, directly topping the A-share market cap rankings. Below, I use the Six-Dimensional Stock Trading System (STS v2.0) A-share new stock analysis framework to do a first-day review. 1. Today's market data for Changxin Technology (1) Opening price ¥49.5, increase of 471.59%; (2) Total market cap 3.31 trillion yuan, surpassing Industrial and Commercial Bank of China, ranking first in A-shares; (3) Profit per winning lot about ¥20,000; (4) Raised ¥66.6 billion, the largest IPO in the history of the STAR Market, third largest in A-share history. 2. STS Six-Dimensional Review (A-share new stock version) Dimension ①: Scarcity of chips (+1, extremely bullish) Actual circulating shares account for only about 6.7% of total shares, circulating market value about ¥220 billion. Online winning rate 0.47%, subscription accounts 9.42 million, supply-demand imbalance released intensely on the first day. Scarcity of chips is the direct driver of the high opening. Dimension ②: Market sentiment and new stock enthusiasm (+1, extremely bullish) 9.42 million accounts subscribed, winning rate 0.47%, abandonment rate only 0.17%. On-chain implied pricing already gave an expectation of over 3 trillion yuan in advance; the first-day opening at ¥49.5 aligns with market consensus. Dimension ③: Speculator behavior and capital game (0, neutral to bullish) Opening turnover ¥15.2 billion, turnover rate 6.86%, speculators aggressively accumulating, but large funds have not fully released yet, pressure from realizing floating profits is still accumulating. Dimension ④: Valuation anchor (+1, bullish) Expected net profit in the first half of 2026 is ¥50-57 billion, annualized forward PE corresponding to current market cap is about 5-6 times. The issue PE of 308 times looks expensive but has been digested by half-year performance. Dimension ⑤: Regulatory and institutional environment (0, neutral) No price limit for the first 5 days on the STAR Market, with intraday 30% and 60% circuit breaker mechanisms. No circuit breaker triggered on the first day, indicating relatively stable price discovery. Dimension ⑥: Market style and liquidity (+1, bullish) DRAM super cycle + AI computing power demand explosion + sole domestic substitution target, triple narrative overlay. The average increase of STAR Market new stocks in the first half of 2026 exceeds 200%, hard tech IPOs still in valuation premium window. 3. STS comprehensive judgment Among 6 dimensions: 4 bullish, 2 neutral. The first-day trend basically meets STS system expectations; a high open was inevitable. The 470% increase was pushed to the extreme by the triple resonance of "scarce chips + explosive performance + market sentiment." Nomura Securities gave a target price of ¥116 (corresponding to a market cap of ¥7.76 trillion), institutions remain bullish. But the first-day turnover rate was only 6.86%, indicating most winning subscribers chose to lock positions and observe; floating profits have not been fully realized. 4. STS system viewpoint Changxin Technology's fundamentals and domestic substitution logic are undisputed; the controversy lies in whether the 3.3 trillion yuan market cap is a starting point or a stage peak? From a performance perspective, half-year profit of ¥50-57 billion, annualized PE of 5-6 times, is indeed not expensive. But DRAM is a strong cyclical industry, currently at a cycle peak; price sustainability and capacity ramp-up pace are the biggest uncertainties ahead. The first-day high open is a concentrated release of "institutional dividends + chip scarcity." Next, the market will shift from "speculating on chips" to "looking at performance." Q3 and Q4 data will be the core variables determining whether 3.3 trillion yuan is a starting point or an endpoint. In STS terms: the first day is over, shift the observation point forward, let Q3 performance speak for itself. #ChangxinTechnology #CXMT #STARMarket #DRAM #Chip #SixDimensionalStockTradingSystem Quick analysis of the Fed scenario 28-29/7/2026 Current interest rate: 3.50% – 3.75%. The market is leaning towards staying the same (~60–65%), the probability of increasing by 0.25% is about 35%. 3 main scenarios 1. Remain the same + neutral/slightly hawkish tone (highest likelihood) → Bitcoin fluctuates or bearishes slightly, testing $62,500–63,000. It is then possible to recover. 2. Stay the same + dovish → clear positive tone. Bitcoin could break out to $66,000–68,000, even targeting 70,000+. 3. Interest rate hike of 0.25% (unexpected) → Strong negative. Bitcoin is easy to fall to $60,000–61,000 or lower. Bottom line: Chairman Kevin Warsh's tone is more important than the interest rate decision. A hawkish signal will put pressure on the crypto, while a dovish tone will support the upward momentum.$BTC Intel chips change strategy, hyper-threading technology is making a comeback, and AI computing power is tight, forcing old solutions Intel has been on a five-year standoff for computer CPU hyper-threading capabilities. Starting with the 12th generation Core, they removed hyper-threading from all efficiency cores. Even the Xeon Diamond Rapids, originally scheduled for release in 2026, promised not to use this technology. But recently, things have suddenly changed. Intel plans to restart hyper-threading on Coral Rapids server CPUs in 2028. This is not just going backward to pick up old things. It's because tasks like AI training and scientific simulation increasingly require multithreading. Simply increasing the number of cores is no longer enough. Previously, more cores were constantly stacked, but now the focus is on making each core run smarter and more efficiently. This new CPU uses Intel 18A process, switches to LGA 9324 interfaces, supports 16-channel MRDIMM memory, and bandwidth reaches 1.6TB/s. It also directly supports FP8 and TF32 floating-point operations, and even the APX instruction set is natively integrated. However, the launch version may first launch an 8-channel model due to urgent demand, so there is no time to wait for full specifications to launch. Interestingly, AMD has been continuously strengthening hyper-threading technology in recent years, continuously from Zen 4 to Zen 5. Intel took a detour and then came back, taking the opposite approach. To put it bluntly, it's not that someone has stronger technology, but that the mission has changed and the old method works again. Meanwhile, Intel's foundry business is also showing new developments. It's said they're negotiating a Feynman GPU collaboration with Nvidia, responsible for manufacturing I/O modules, possibly using 18A or 14A processes, and will secure 25% of the EMIB advanced packaging capacity, with the rest still handled by TSMC. This is quite important—NVIDIA wants to diversify supply chain risks and no longer rely on just one foundry, while Intel is actually getting into the core of high-end AI GPUs for the first time. Chen Liwu has always emphasized cautious investment in the past, but now he is proactively increasing capital expenditures, mentioning that "customers have signed long-term agreements." If cooperation goes smoothly, TSMC's monopoly in the high-end GPU field will be broken, and Intel's foundry business will achieve real profitability, rather than just empty promises to investors. At the end of July, Qualcomm made it clear that starting September 1, 2026, all chip prices will be raised by 10% to 19%. Wearable device companies like Samsung, Xiaomi, and Meta will have to bear higher costs, mainly because HBM memory is being heavily bought by AI data centers, and common component prices have risen. TSMC's production capacity is mainly distributed to Apple and Nvidia, so Qualcomm is not among the top. Therefore, Qualcomm's stock price first fell then rose that day, and the market believes the price increase will protect profits. But the problem is that before 2027, the supply tightness will be hard to ease. SoCs in mid- and low-end phones will be hit hardest. Most users may not feel this for now, but when they upgrade next time, prices may quietly increase by two or three hundred yuan, likely due to this round of chip price increases. Lecha's previous AMD EPYC 9005 processor will support 16 threads per core by 2025. Intel is only now thinking about hyper-threading, which is indeed three years late. However, it started from a high point, and the new architecture is not simply copying the old solution. The real test will be in the next year and a half: TSMC's 3nm capacity will be fully occupied by Apple and Nvidia, Samsung's yield rates remain unstable, and whether Intel can secure consumer market orders with 18A and 14A processes will depend on this wave's performance. The entire industry is now being driven by AI—GPU manufacturing, CPU design, chip pricing—these three things are all under strain. On the surface, it's a technological upgrade, but in reality, it's a reallocation of resources. Whoever has the goods and can finish the work can survive. #长鑫科技上市, global storage competition adds variables $INTC #长鑫科技上市，全球存储竞争添变量 After reading the news about ChangXin Technology's IPO, I feel quite deeply. Today, ChangXin debuted on the STAR Market, and its market value surged directly to ¥3.31 trillion after listing, becoming the highest market cap stock in the A-share market. This also means that domestic memory has officially stepped onto the global competition stage. The landscape of the entire memory sector has been changing rapidly recently. Not long ago, most AI orders flowed to Samsung and SK Hynix; Anthropic signed chip supply agreements with both, and NVIDIA is also laying out plans with Korean companies. The Korean giants have fully captured the AI dividend. But with ChangXin officially listed, domestic production capacity is directly involved in the global memory pricing game. The original story of the two giants may gradually evolve into a three-way contest. Interestingly, on the same day, the Korean KOSPI surged 1.7% in early trading but then turned downward, reflecting a very conflicted market sentiment. On one hand, AI brings strong memory demand; on the other, new competitors are emerging, prompting everyone to reassess the future supply and demand landscape. Moving forward, I will focus on DRAM contract prices and the expansion pace of major manufacturers. These two indicators will determine the direction of the memory sector. Domestic memory reaching this stage is just the beginning; the subsequent competition has only just begun. With earnings reports from Microsoft, Meta, and Amazon approaching, why can't the high growth rate of AI cloud fill the capital expenditure gap? Google just burned through $5.9 billion in negative cash flow, followed by Microsoft, Meta, and Amazon this week—pouring in $725 billion. Why can't AI cloud growth fill this hole? $725 billion. This is the expected total capital expenditure for the four tech giants Microsoft, Google, Amazon, and Meta in 2026, a 77% increase compared to 2025. This is more than double the size of the global semiconductor market in 2025. But behind this record-breaking investment, an even more glaring figure is emerging: the growth rate of AI cloud business revenue is completely lagging behind the 70%-100% increase in capital expenditure. Google was the first to submit the paper. On July 22, Google released its Q2 2026 financial report: cloud business revenue reached $24.768 billion, a year-on-year surge of 82%, marking the highest growth rate ever; Cloud backlog orders surpassed $500 billion for the first time, reaching $514 billion. However, quarterly capital expenditure of $44.9 billion, doubling year-on-year, directly led to the company's first quarterly negative free cash flow since listing—a negative $5.855 billion. After the release of the "hot and cold" financial report, Google's stock price fell more than 4% in after-hours trading. The signals from the market's foot-to-foot votes are clear: even if cloud business growth hits record highs, as long as capital expenditure expands faster, investors won't buy it. This logic will become the "trial template" for Microsoft, Meta, and Amazon's earnings reports this week. Why can't the high growth rate of AI cloud cover capital expenditures? The problem lies in three "rigid" aspects. First, the rigidity of expenses. A Morgan Stanley research report points out that the prices of high-end GPUs, HBMs, and other core hardware have increased by about 20% this year, extending the construction cycle for AI data centers from the traditional 2 years to 3 years. Microsoft has spent an additional $25 billion just because of the price hikes in memory chips and components. More importantly, Anthropic signed a ten-year agreement with AWS exceeding $100 billion in computing power, and OpenAI and CoreWeave locked $22.4 billion in dedicated capacity—these long-term agreements are irreversible and rigid, and once signed, cash flow for the next few years is locked in. Second, the delay in revenue recognition. Equipment debugging, customer migration, workload adaptation—each step stretches the chain. In other words, the money invested today can only become income next year or the year after. Third, downward pressure on the price side. As more cloud providers join the AI computing power supply track, prices per unit of computing power and per token face sustained downward pressure. Cloud vendors cannot cover the new costs through short-term price hikes; they can only wait for equipment depreciation and project optimizations to gradually absorb the cost reductions—which itself is a lengthy process. More disturbing numbers lie off the table. According to a Moody's report, the five tech giants have signed long-term data center lease and GPU procurement commitments totaling about $662 billion but not included in their balance sheets, with total implicit debt reaching $1.65 trillion, an eightfold increase over four years and far exceeding their formal balance sheet liabilities of $1.35 trillion. "This unrecorded debt burden creates a risk profile far higher than what traditional financial statements would show." The warning from Moody's analyst David Gonzales is not alarmist. When operating cash flow can no longer cover capital expenditures, giants have begun to rely on bond issuance and stock issuance to raise funds—Google raised $49.6 billion in June through stock issuance, and Meta plans to supplement funds through bond issuance and asset sales. Tech giants are shifting from a "light asset, high cash flow" model to a "heavy asset, high leverage" model. From 2026 to now, an extreme divergence is unfolding: the stock prices of AI giants investing heavily are under pressure, while chip hardware companies taking on AI orders continue to perform bull runs. The MAGS ETF, which tracks the seven tech giants, has risen only about 1.5% this year, while the Philadelphia semiconductor index SOX has risen by more than 70%. After Google's earnings report, its stock price fell nearly 8%, while hardware stocks like Micron and SK Hynix surged collectively in after-hours trading. Su Bowen, Nomura's Global Head of Macro Research, made a sharp judgment: "Currently, leading cloud providers have not shown signs of actively slowing AI capital spending, but such investments cannot maintain their current high growth rate forever." If AI commercialization falls short of expectations, high investment will not generate equivalent income, and the industry will experience phased overinvestment and market adjustments. ” Morgan Stanley forecasts that by 2027, the combined capital expenditure of the five major cloud providers will reach $1.2 trillion, and further rise to $1.4 trillion in 2028. Meanwhile, the gap in the compound annual growth rate of AI-related cloud revenue and enterprise service revenue during the same period—in terms of scale—continues to widen. In other words, the essence of this AI infrastructure race is not about whether you can afford to invest, but whether you can make a profit after investing. When capital expenditure growth far exceeds revenue growth, when implicit debt exceeds on-balance-sheet liabilities, when companies have to rely on bond issuance and additional issuance to maintain expansion pace—the so-called "AI cloud high growth rate" narrative is being cracked by real financial data. This week, the earnings reports from Microsoft, Meta, and Amazon will provide clearer answers. #财报观察员: Can Microsoft, Meta, and Amazon stabilize the AI narrative? $META Guys, STORJ crashed today—down 10.95%, current price $0.06625. If you only focus on candlesticks, you might think "the decentralized storage sector is doomed." But looking at the data, the real concern isn't the technical aspects—it's that the project's parent company is filing for bankruptcy. On Sunday, July 26, Storj Labs voluntarily filed for Chapter 11 bankruptcy protection in the federal court for West Virginia (Case No. 5:26-bk-00512). The company stated that the network continued to operate normally during the restructuring and that customer service was not affected. The head of software engineering said, "The business fundamentals are strong, but what hinders them is historical debt from earlier stages." But the market was not convinced. STORJ was previously priced around $0.0745, but after the news broke, it immediately broke down to $0.06625. Since the acquisition announcement in October 2025, STORJ has dropped about 60% cumulatively, dropping from $0.1872 to the current $0.066. Real risk: Creditors first, token holders at the end Storj says it is exploring ways to "involve STORJ token holders in the restructured company's equity." But the problem is— 1. Under bankruptcy law, creditors have priority in the order of repayment. If the company's assets are insufficient to cover all debts, STORJ token holders' equity may be ranked last. 2. Completely blank in the details. Storj has not disclosed eligibility rules, snapshot times, lock-up terms, or the equity allocated to be disclosed Moody's Warning: From Light to Heavy Assets, Trillions in AI Investment by Big Companies Hides Risks Last week, Moody's released a research report stating that the unprecedented pressure of capital expenditure has forced giants like Alphabet and Microsoft, which hold massive amounts of cash, to borrow on large scales, issue additional shares, or use various off-balance-sheet tools to inject funds into AI business expansion. In a report released Wednesday, Moody's stated: "In the past, these companies operated based on asset-light models, relying on software, intellectual property, and scalable cloud services, which required limited capital investment. Now, companies are shifting from a heavy-asset, light-asset model to heavy asset operations, requiring unprecedented large-scale investment and financing actions." ” B The report tracks six companies: Microsoft, Amazon, Alphabet, Meta, Oracle, and CoreWeave. Moody's believes these financing operations will directly threaten the credit quality of these six companies. Rating agencies predict that industry capital expenditure (for investments in physical assets such as data centers) will reach $785 billion by 2026 and may exceed $1 trillion by 2027. This shift in business model completely shattered decades of Silicon Valley development logic. Software replication costs are extremely low, generating substantial profit margins, and companies have built a solid balance sheet as a result. But generative AI is completely different, requiring large physical data centers and deploying large numbers of high-cost, high-power servers and chips. To support expansion plans, tech giants are increasingly reliant on Wall Street's financial markets, reaping substantial profits from the financial sector. Moody's data shows that the combined direct debt of six cloud providers is about $460 billion. Companies continue to raise funds on public markets; Google's parent company Alphabet announced an $85 billion stock issuance plan last month. Huge rigid liabilities are hidden off-balance-sheet Moody's analyzed that although there has been huge upfront investment in AI hardware and infrastructure, the revenue realization cycle is long, and the industry's free cash flow is under ongoing pressure. To avoid high direct debt from appearing on their balance sheets, major cloud providers generally adopt off-balance-sheet financing, with the core method being signing long-term data center lease agreements. The report shows that the total leasing commitments of six companies have soared to $1.2 trillion, with over $820 billion corresponding to leasing projects yet to start, and related data centers are still under construction. Although these lease obligations are not presented as traditional debt, Moody's still treats them as equivalent debt, and the company will continue to bear substantial rental expenses in the future. However, Moody's added that Microsoft, Alphabet, Amazon, and Meta remain among the world's top tier in terms of balance sheet strength, and there is currently no risk of downgrades in investment-grade credit ratings. The pressure is mainly concentrated on companies with weak ratings, such as Oracle, currently rated BAA2, with a negative outlook, just two tiers below junk status; CoreWeave is a high-yield bond stock, rated Ba3, relying on a complex private debt structure to purchase GPU computing power clusters. An AI circular ecosystem intertwined with risks Moody's also pointed out structural cyclical risks in the AI industry, with major cloud providers disclosing tens of billions of dollars in order reserves, many of which come from unlisted AI labs like OpenAI and Anthropic. Tech giants invest billions in these AI startups, and the startups then return most of the capital to their investors' cloud computing services, forming what the report calls an "AI circular ecosystem." Moody's stated that this deep binding amplifies industry risks, as leading tech companies are highly dependent on the same batch of AI clients and all bet on sustained rapid growth in future AI demand. If expectations fall short, risks will explode in concentrated proportions. Of course, tech giants also have core advantages in risk hedging, such as strong demand for AI computing power, continuous growth in cloud business, companies signing long-term client contracts worth hundreds of billions of dollars, and stable revenue, supporting the overall credit level of the industry. Even so, Moody's reminds investors that the tech industry's financial structure is undergoing unprecedented structural changes since the cloud computing era, "Investors will pay more attention in the future whether companies can achieve reasonable returns from massive capital investments." #财报观察员: Can Microsoft, Meta, and Amazon Hold Down the AI Narrative? $GOOGL $AEVO Momentum remains subdued as price drifts sideways in a very narrow intraday channel. No need to rush entries until a cleaner volatility trigger appears. EP 0.01910 - 0.01930 TP 0.01965 0.02010 0.02070 SL 0.01880 Structure shows minor higher lows forming, but overhead supply needs to be cleared with conviction for bulls to take control. Watch how price reacts near local resistance. Let's go $AEVO #CXMTMemoryIPO #FOMCRateWatch On July 25, Michael Burry, the real-life inspiration for the film "The Big Short," posted an article on Substack. This man, who once accurately predicted the 2008 subprime crisis, once again reached out to the most crowded market transaction: AI chips. He further shorted Micron Technology at $933.86, increased his short position in Nvidia at $210.28, and shorted in the Philadelphia Semiconductor ETF (SOXX) at $535.83. This is not a probing arrangement. Burry made it very clear: SOXX short positions combined with individual stock put options already make up a "large position" in his portfolio. At the same time, he also opened a new short position in Caterpillar at $893.49. Caterpillar is a construction machinery company that was previously seen by the market as a beneficiary of AI infrastructure construction, as data center expansion drove demand for its power generation equipment. Burry's short on Caterpillar is essentially saying: the story of AI infrastructure cannot support the valuations of so many companies. This is not the first time Burry has warned about risks in the semiconductor sector. In early July, he went short on Micron for the first time at the $1,051.87 price level and warned that the semiconductor sector might face a pullback of about 30%. At that time, the Philadelphia Semiconductor Index was about 65% above its 200-day moving average. This level last appeared during the 2000 internet bubble. A month later, not only did he not stop, he even doubled his bets. Burry's core argument is not complicated: a large part of the current and future demand for AI chips does not come from the real world $UNI $uni The fee proposal is about to be approved. Short-term traders feel the good news has been exhausted and took profits early on Uniswap I want to talk about the long term 1. After the proposal passes, the buyback rate will increase significantly, and the annual buyback rate will approach $HYPE. Perhaps we can wait a month for data to be backtested 2. As the pioneer of DEXs, Uni's innovation capability is beyond doubt v1/v2 simplified and popularized as foundational standards for DeFi v3 pioneered modern CLAMM—each LP could choose its own price range within the same pool v4 pioneered and standardized this permissionless AMM extension architecture centered on pool lifecycle hooks 3. Currently, the EVM chain launch platform is basically the top pool for Uniswap. The V4 hook gives launch platforms a lot of customization space, and of course, the alpha launch on BSC still uses Pancake 4. Its CCA auction and issuance proves it has strong scalability, but its current approach is still quite restrained Previously, $UNI tokens were criticized for lacking empowerment, but now they are gradually being enabled, with first-mover advantages and strong innovation, almost leading the direction of on-chain DEXs Imagination can be a bit bigger, shouting that phrase: on-chain Nasdaq What do you all think?#财报观察员: Can Microsoft, Meta, and Amazon stabilize the AI narrative? This year's tech earnings season completely overturned the market's previous speculative logic. The AI sector has long since left the era of blind bullish views. Real capital games, performance realization, and the cost of burning cash are gradually emerging, fully confirming my previous suspicions. Recently, Google and Tesla have collectively weakened after their earnings reports were released, and Intel has shown a sharp drop after the positive news was realized, causing many retail investors to panic and worry about the market crashing. But in my view, the adjustment logic among the giants varies, and there is no risk of a systemic collapse. Google is ramping up its AI infrastructure investment, with impressive cloud business data, but ongoing cash burn has put significant pressure on cash flow; Tesla is heavily invested in long-term sectors such as autonomous driving and intelligent robotics, with massive investments making a profit loop far off; Intel, on the other hand, saw its previous gains too large, and its valuation quickly exhausted all positive factors, so the results naturally paid off. My core viewpoint: The most fundamental change in the current market is to completely abandon AI hype and focus only on solid cash flow and earnings returns. Major tech giants are willing to endure cash flow pressure just to continue ramping up their AI arms race, essentially fearing to repeat Kodak's mistakes and fall behind at critical moments of industry transformation. The core lifeline of the upcoming rally is entirely in the hands of three giants: Microsoft, $META, and Amazon. Their earnings reports will determine whether this round of AI rally can hold the foundation. The most important thing to focus on is three words: cash flow. Then closely monitor Microsoft Azure cloud growth, Meta AI capital expenditure guidance, and Amazon AWS computing power performance. Now that the AI sector is entering a critical transition period, if these three companies fail to commercialize AI and fall short of expectations or cut expansion costs, the overall prosperity of the AI industry chain will cool rapidly. SK Hynix, SanDisk, and Micron will be watching their mood. Therefore, whether massive computing power investment can break even in the future will only be revealed when the depreciation peak arrives in 2027 and 2028. Back to the market: Bitcoin has rebounded from the low of 63,800 for three consecutive days and is now rebounding to the 65,300-65,500 range. However, this is merely a technical correction after an oversold price, with overall volume severely lacking. Ethereum rebounded simultaneously to around 1945-1955, with weaker gains. There is no incremental capital entering the market; the market is driven entirely by short-term bottom-fishing funds, leaving bulls with weak confidence. If subsequent volume cannot continue to expand, this round of recovery is very likely to stall, making it difficult to achieve a true reversal. My operation: Yesterday, the SK Hynix long position at 1181 took profit at 1250. Today, once the market stabilizes, I will continue to go long. $BTC and $ETH account for half of my spot position, so I will hold firmly without moving it. The MEME coin market has been volatile these past two days. I plan to wait for a minor pullback before allocating to alt leaders $DOGE and $SHIB to avoid missing out on the rally. The overall spot position remains unchanged, with small funds playing contracts lightly, with a single take-profit target of 20 USD, focusing on stability.The Nasdaq fell, oil prices crashed, and Changxin arrived! Today, I bet you won't dare to follow this A-share game First of all, good morning to everyone. How should I put it today, it's a bit like lying at home for two days on the weekend, and on Monday morning the alarm rings three times and you still haven't gotten up—feeling uncomfortable all over, but you have to face it. What happened last Friday? In short: the US stock heavyweights are smiling and tech-savvy. The Dow Jones rose 0.46%, closing at 51,947 points. The S&P 500 barely gained 0.05%. But Nasdaq? It fell 0.64%. Don't underestimate this 0.64%—the Nasdaq fell 2.13% for the week, marking two consecutive weeks of decline. Who did it? Chips. The Philadelphia Semiconductor Index plunged 4.25% last Friday, with all 30 constituent stocks closing lower. Arm fell over 8%, Intel dropped over 7%, and Micron dropped over 6%. Storage chips and optical communications were among the biggest decliners, with SanDisk directly falling over 10%. Translated as a plain language: Brothers holding tech stocks, don't expect a good night's sleep last Friday night. Chinese concept stocks haven't escaped either. The Nasdaq Golden Dragon China Index fell 0.66%. Alibaba fell over 2%, XPeng and NIO dropped over 3%. What does this mean? Today, the A-share tech growth track has already been overwhelmed by sentiment from the outside. Now, let's talk about oil prices. WTI crude closed down 3.12% last Friday at $89.31. This morning, the market was even more aggressive at the open, dropping nearly 5% again. The reason is that the U.S. and Iran sides have paused and started attacking each other, and the conflict premium has faded. Gold is doing okay, with a slight rebound. Alright, that's all for the outskirts. Talking about A-shares. What was the behavior of the A-share market last Friday? Volume shrank sharply. The Shanghai Composite Index fell 1.61%, closing at 3,814 points. The Shenzhen Component Index fell 2.47%, and the ChiNext Index dropped 2.65%. Over 4,900 stocks across the market fell, while only 555 rose. Even more alarming is the transaction volume. The total turnover of the two markets was 1.94 trillion yuan, a decrease of over 260 billion yuan from the previous trading day. This marks the lowest level since April 8 this year. Volume shrinkage and sharp drop—to put it in four words: no one buys, everyone is running. Why is that? Two reasons. First, tech stocks are inherently weak. Computing power and storage weakened across the board, with funds flowing into the oil and gas sector for safe havens. Second, and most importantly—today, Changxin Technology went public. Changxin Technology (688825) is a leading domestic DRAM storage company and the largest DRAM manufacturer in China and the fourth largest globally. Today, it officially went public on the STAR Market. The issue price was 8.66 yuan per share, with an issue market value of 579.189 billion yuan. The expected total fundraising amount is 66.607 billion yuan, surpassing SMIC's 53.2 billion yuan in 2020, making it the largest IPO in the history of the STAR Market. The market's current valuation expectations range from 1 trillion to 4.25 trillion. What does that mean? Currently, the highest market capitalization on the STAR Market, SMIC, is only 1.23 trillion. If Changxin follows a neutral valuation, it will directly top the STAR Market in market value. A giant is about to take the stage, and there's only so little money in the market. Wouldn't you think funds are tight? Last Friday's volume shrinkage, to put it bluntly, was because everyone was waiting — waiting for Changxin to go public, waiting for the boots to hit the ground. Short-term funds began withdrawing from Tuesday, with volume shrinking for three consecutive trading days. So how do we get there today? I'll give three judgments—listen to them and see if they make sense. First, it's hard for the market to rebound in a V-shaped pattern. The historical pattern is clear: after a sharp drop in volume in a single day, the probability of a direct reversal the next day is extremely low. Combined with Changxin's listing and capital diverting, today is very likely to show a fluctuating bottoming trend. Short-term support for the Shanghai Composite is at 3780-3790, with resistance at 3830-3850. At the morning open, it had already fallen below 3800. Second, tech stocks will become highly differentiated, so don't expect a broad rise. Upstream sectors like semiconductor equipment and materials, as well as industrial chain targets tied to Changxin, have real positive developments. Last Friday, the semiconductor equipment sector has already risen by 3.18%. But those high-end pure thematic computing power and storage notes will have their funds diverted, and adjustments will be necessary. Third, don't rush to buy the dip. I know many people get itchy when they see a big drop. However, the decline on shrinking volume indicates a lack of buying interest, and before the trend ends, the probability of bottom-fishing halfway up the mountain is not low. Wait until it tests the 3780 support level before looking further. Light positions are fine for trial and error, but heavy positions are not recommended for all-in trading. Here are three practical suggestions for everyone: If you hold high-tech stocks, reduce your positions in batches during rebounds—don't be greedy. If you have semiconductor equipment and materials, you can take advantage of this to seize structural opportunities. For short positions, wait until around 3780 before considering small positions for trial and error. Finally, here's a heartbreaking remark: Changxin's IPO is a good thing, showing that our hard technology is on the rise. But for today's market, it is a huge pump. There was only so much water in the venue. When the giant came in to drink, the little fish and shrimp nearby could only stare helplessly. Today is very likely to be a small bearish candlestick with a lower shadow, fluctuating at low levels throughout the day. Hold your hands, keep your eyes on the road, and don't get carried away. Do you think the Shanghai Composite can hold above 3780 today? Share your judgment in the comments section. #长鑫科技上市, global storage competition adds variables $SNDK Changxin Technology's massive IPO listing intensifies the supply expectation divergence in the memory chip sector. The high valuation raises risk appetite in the chip segment, but the price pullback of overseas leading stocks and increased supply suppress the global pricing power upside. Changxin Technology's opening price of ¥49.50 surged 471.59% from the issue price of ¥8.66, with a market value reaching ¥3.31 trillion. This pricing changed the position allocation pattern of on-exchange funds toward heavyweight stocks. The nearly ¥60 billion financing amount and the profit effect from winning the lottery in the IPO have highly concentrated market risk appetite on the semiconductor supply chain in the short term. In the ranking of driving factors, the change in the global memory supply structure takes precedence over short-term capital premiums. Changxin Technology is expected to achieve a 7.67% global DRAM market share by Q4 2025, breaking the monopoly of Samsung, SK Hynix, and Micron, who hold over 90% market share, thus altering the logic of unilateral production control and price adjustment by overseas giants. Revenue of ¥110-120 billion and net profit of ¥50-57 billion in the first half of the year have changed the market's perception that domestic memory manufacturers are only at the conceptual stage. Apple's pursuit of supply from Hefei confirms that local capacity has begun to enter the international top-tier procurement system. The upside scenario trigger condition is the smooth realization of capacity after massive financing and maintaining valuation at the high level of ¥3.31 trillion. Variables to watch include the scale of follow-up orders from top clients like Apple. The invalidation signal is a rapid drop of the stock price below the opening price of ¥49.50 accompanied by significant net outflow of main funds. The downside scenario trigger condition is competitive price cuts by overseas memory giants and the transmission of global semiconductor cycle peak risks. Last week, the South Korean KOSPI index fell 5.72%, and Samsung and SK Hynix stock prices dropped over 8%, indicating global funds are selling overseas memory positions. If this panic spreads, it will trigger a decline in chip sector inflation premiums and overall position shrinkage. The overall invalidation signal is a severe divergence between global DRAM price trends and Changxin Technology's capacity release, causing its ¥50-57 billion level profit growth to slow rapidly. The most important variables to observe in the next 7 days are signs of a stop in the decline for Samsung and SK Hynix, as well as the net capital flow in the domestic semiconductor sector. #贝莱德等九机构组建安全联盟 #SPCX因星舰发射与解禁引发多空分歧 #新手必看：这里有你需要的一切 $MU As always, the big is coming. Brothers chasing highs, be careful 1. The price has risen too rapidly, and everyone is rushing to "cash out and run away" Micron's price has been ridiculously high in the past six months, nearly doubling! Now, it's like riding a roller coaster to the peak—at the slightest sign of trouble, those who made a fortune quickly sell off for cash. 2. The "big short seller" in the film leads the sell-off The prototype in the movie "The Big Short" predicted the subprime crisis, and recently bet with real money that Micron would fall. He said this stock is currently a bubble; historically, it has dropped more than 30% too many times. 3. Items are sold at too high prices, and customers are unwilling to buy Micron wanted to surge memory flash prices by 30%, but customers buying computers and servers found it too expensive and directly boycotted it. Even major brokerages can't stand it anymore, saying the third quarter definitely won't rise as high as expected. 4. Competitors are building factories at a fever pitch, fearing they will become widespread in the future Old rivals like Samsung and SK Hynix, as well as China's Changxin Technology, are all frantically investing in new factories. What everyone fears most is: if you feel memory isn't enough, and in two years when all new factories are up and running, memory will become everywhere, and prices will plummet. 5. All sorts of bad luck have come together Recently, not only has the U.S. government imposed tariffs to raise costs, but Micron's own major bosses have also been secretly selling stocks, and have even been embroiled in lawsuits accusing "several major companies colluding to inflate prices." In short: The price had gone crazy before, but now customers complain about the high prices and don't buy it, while competitors are aggressively expanding production. Everyone is feeling uneasy, so while you can still get a good price, hurry and run ahead to show respect!After ETH reached 1960, what did it do next? I had already opened a short position in 1960. Let me first explain my short-selling logic. ETH today has climbed from around 1870 all the way to 1960. The intraday gain was nearly 5%, with almost no significant pullback in between. The 1955–1960 area was also the peak of the previous rebound. He has only just reached the pressure zone; whether he can truly hold his ground still needs to be confirmed. So I chose to try out my short position here in the small position. ✔ Entry location: Around 1960 ✔ Stop loss level: 1980 ✔ First observation station: 1950 ✔ Below 1950: Continue looking at 1930 ✔ 1930 fallen: Now look at around 1900 This short position isn't because I believe ETH has peaked. But after the price kept rising, it happened to hit the previous high resistance zone. I was willing to use a clear stop loss to try a rally and pullback. If the price continues to rise and triggers the 1980 stop loss, it means the short-term strength has exceeded my expectations. If you make a mistake, just admit it; don't add to your position, just hold on. 1980 is just the stop-loss for this trade, and does not mean ETH's entire upward structure will fail here. What really matters next is whether 1960 can hold its ground. If ETH quickly falls back below 1950, it suggests that the breakout may not be as strong as it appears. In this situation, short-term pullbacks are likely to occur. First, look at 1930; after it falls, look at around 1900. But if it can hold above 1960 for both 1 hour and 4 hours, and fails to break 1950–1960 on a pullback, it means this breakout is very likely to be real. Afterwards, we can continue to look at 1980–2000. If even 2000 can be held steadily with increased volume, there will be further room to reach 2030–2050. The FOMC is also approaching. The fluctuations before and after the news easily sweep both the bulls and bears, so I only know how to try and error in small positions for this order, not to heavily invest in guessing the top. ✔ After falling back below 1950, bears began to gain the upper hand ✔ Holding above 1960, the market continues to challenge 1980–2000 ✔ Volume increased above 2000, then look at 2030–2050 I opened short at 1960, only testing a pullback near the previous high. Stop loss set at 1980. You may misjudge the direction, but your stop-loss cannot be changed temporarily.#财报观察员: Can Microsoft, Meta, and Amazon stabilize the AI narrative? I've been following the latest updates on the CLARITY Act, and after reading today's news, I feel a bit more cautious. Senate Republicans released 616 pages of consolidated documents, originally expecting a quick vote, but unexpectedly, the Democrats openly opposed it. The core of the conflict lies in the division of law enforcement authority, which the two sides have not yet reached an agreement. With only two weeks left until the August recess, the window for negotiations is becoming increasingly tight. The market has already reacted early, with Bitcoin falling to around $65,000, and Coinbase and Circle both falling more than 7%. Many people are still hoping the bill will bring long-term benefits, but the most important signal right now is not the details of the provisions, but whether the voting schedule can be finalized. The two parties plan to continue negotiations over the weekend, but uncertainty remains high. In the short term, the market will continue to be influenced by both parties' negotiations. Until the voting schedule is clear, I won't blindly bet on the direction and will remain patient and wait for key signals.Bro, there's trouble in the crypto world again...... Three iOS users bought fake Sparrow Wallet on the App Store, losing $1.8 million in Bitcoin and now suing Apple. Honestly, this incident reminds us: the crypto world is all about safety first! Don't always think the App Store is reliable; fake apps have always existed. Before downloading the wallet, take a good look at the developer and double-check. Make sure to store your seed keywords carefully—don't just click for convenience. A bloody lesson—safety awareness really needs to be maxed out! How do you usually protect your wallets? Share your experience~ $AAPL $XAAPL 黄仁勋入驻X首秀：一场直指硅谷格局的AI开源博弈沉寂社交媒体三十余年的黄仁勋，终于正式入驻X平台，而他的首秀便直击硅谷AI行业的核心矛盾，刀刀对准行业固有格局。没有预热、没有寒暄，黄仁勋的第一条帖子直接甩出重磅内容——一封由25家科技企业联合署名的公开信《开放权重与美国AI领导地位》。信中立场清晰且坚定：AI行业的良性发展，需要前沿闭源模型与开源模型双向并行，坚决反对监管层对AI权重开放实施一刀切式限制。这份联名名单堪称硅谷算力与开源阵营的一次集体站队，微软、Meta、IBM、Hugging Face、Palantir、a16z等行业巨头悉数在列。反观行业另一极，OpenAI、谷歌、Anthropic等深耕闭源赛道的头部企业，全程缺席、未置一词，硅谷AI两大阵营的对立态势瞬间明朗。帖子发布后，X平台迅速炸开舆论。有业内人精准点破本质：“全球市值顶尖的科技巨头，如今公开呼吁AI权重开放，本质是算力厂商希望所有人都能入局AI、自主‘挖矿’，盘活整个算力市场。”更有交易员直言，黄仁勋蛰伏33年从不触碰社交舆论，首次发声就主动游说监管层放宽开源限制，无关情怀，纯粹是自保式布局。分析师进一步拆解了这场博弈的核心利弊：开源模型彻底拉低了AI创业与落地的门槛。如今，一名每月仅需两百美元工具成本的独立开发者，就能凭借开源模型，完成过去一整个技术团队的工作量。可一旦监管收紧、限制权重公开，AI技术的话语权与流量杠杆，将重新回流到靠高额六位数API服务费盈利的闭源大厂手中，中小开发者与初创企业将彻底失去生存空间。消息传出初期，资本市场一度出现非理性波动，英伟达股价小幅下跌，连带一众算力概念股随之下行。不少投资者陷入误区，误以为全面开源会冲击云服务与闭源模型生态，挤压算力厂商的生存空间。但很快，X平台的理性投资者纷纷反驳砸盘逻辑，直言这是典型的认知偏差：企业绝不会耗费高额成本自建硬件、本地部署模型，最终的算力需求、集群调度、云端运维，依然高度依赖英伟达的算力生态。AI权重开放不是压缩算力市场，而是放大全行业的算力需求，让英伟达的基本盘持续扩容。行业大佬也迅速下场站台，马斯克第一时间转发力挺，明确表态“黄仁勋是对的，我全力支持”，微软纳德拉也紧随其后呼应立场。业内观点一语道破深层逻辑：闭源大厂试图将AI技术锁死在自有生态的牢笼中，看似能守住短期技术壁垒与商业优势，长远来看，只会造成行业单点故障、扼杀整体创新活力。黄仁勋此番高调造势，本质是一场赤裸裸的产业利益绑定。开源生态越繁荣，全球AI落地场景就越丰富，市场对算力芯片的需求就越旺盛，英伟达的核心生意也就越稳固。反之，若闭源阵营联手推动监管锁死开源通道、固化技术垄断，扼杀行业创新活力，最终最先被反噬、丢失基本盘的，就是英伟达。这一次，黄仁勋看似为开源发声，实则是为自己、为整个算力产业筑牢护城河。 #长鑫科技上市，全球存储竞争添变量 #美联储周四凌晨公布利率决议 #财报观察员：微软Meta亚马逊能稳住AI叙事吗？ #长鑫科技上市，全球存储竞争添变量 Changxin Technology was listed on the STAR Market today, opening with a 471% increase, reaching a market value of 3.31 trillion, directly topping the A-share market. One subscription earned 20,000 yuan. A Chinese company making DRAM, in ten years, has become the "new stock king" of the A-share market. Don't rush to shout "domestic substitution is awesome." What does a market value of 3.31 trillion mean? Samsung Electronics has a PB of about 2.37 times, SK Hynix about 8.32 times, Micron about 11.10 times. Changxin's issue price corresponds to a PB of about 5.06 times, which is on the lower side of the median valuation range of global storage leaders. But the problem is — a market value of 3.31 trillion has already surpassed Industrial and Commercial Bank of China. What kind of expectation is implied in this pricing? Changxin's global DRAM market share is about 8%-10%, ranking fourth. Ahead are Samsung with about 36%, SK Hynix about 29%, and Micron about 24%. Changxin has less than one-third of Micron's share, yet its market value is nearly three times that. The market is obviously not just paying for "how much money it makes now" — the net profit attributable to the parent company is expected to be 50-57 billion yuan in the first half of 2026 — but for "how big it can grow in the future." Betting on whether it can use the huge funds raised to transform from a follower into an equal player in the AI-driven super boom cycle. To complete in ten years the path Micron took in thirty, then use the capital market funds to challenge the DRAM market structure monopolized by three companies for twenty years. The global storage chip landscape is loosening. Changxin's global DRAM market share soared from 3% to 8% within a year. Meanwhile, Anthropic just signed long-term supply agreements with Samsung Electronics and SK Hynix, and Nvidia announced investment in expanding AI data centers with Korea's Naver. The demand for AI computing power is pushing all capacity to the limit, and SK Hynix's CEO predicts 2027 will be the year of the most severe supply shortage. In a market where "whoever has capacity is king," every extra wafer from Changxin is a badge of honor. But UBS raised its DRAM price increase forecast for Q3 to 32%. Is Changxin's current performance the start of a new super cycle, or the "peak moment" of the cycle? This question is more worth considering than how much the stock price has risen. The signal of KOSPI turning to decline pre-market may be more worth noting — when "Chinese production capacity officially joins the pricing system" becomes consensus, the market's first reaction is to recalculate, not to continue the frenzy. $SKHYNIX $SNDK Skyrocketing 471% at open! Changxin Technology tops A-share as the new “stock king,” dare to short now? China’s leading domestic storage company Changxin Technology debuted on the STAR Market today with an epic surge! The issue price was only ¥8.66, and it surged 471.59% right at the open, now priced at ¥46.99, with a single lot paper profit exceeding ¥20,000. The opening market cap surged to ¥3.14 trillion, crushing ICBC and instantly claiming the top spot in A-share market cap, becoming the new stock king. Interestingly, its off-exchange pre-market price was $7, roughly equal to the A-share valuation. In just one day, it multiplied 5.4 times over the IPO price, sparking a full-scale capital frenzy. On one hand, there is the strong demand for AI computing power and a scarce domestic storage leader, with a half-year forecasted profit exceeding ¥50 billion, fully loaded with explosive performance logic; On the other hand, the opening price has already priced in several years of prosperity expectations, and DRAM is a typical strong cyclical industry, where cooling enthusiasm easily leads to valuation declines, sharply dividing bulls and bears. The whole internet is in an uproar: some are bullish on AI storage’s long-term growth, targeting a ¥4 trillion market cap; others see a severe short-term bubble and view the peak as a shorting opportunity. Do you think Changxin can continue to rise, or is now the right time to set up short positions at this high level? Share your thoughts in the comments! #长鑫科技上市，全球存储竞争添变量 #交易之声：你的经验值得被听到 #美联储周四凌晨公布利率决议 ⚠️Market information interpretation only, new stocks are highly volatile, and this does not constitute any long or short trading advice! $SPCX $SNDK $SKHYNIX WTI crude oil continues to meet expectations, with short positions laid out around 89.88, currently floating with a profit of 76.22%. Many people wonder if perpetual contracts can be held long-term; here is the core logic: 1. Fundamentals: The previous geopolitical premium has been fully digested, and the supply-demand side lacks sustained support to push oil prices higher. High-level long speculative funds are gradually exiting; 2. Technical pattern: After the oil price peaked, the consolidation center keeps moving downward, with highs progressively lower, forming a typical descending channel structure. The rebounds are windows for short position additions; 3. Key point for holding positions: With 15.88x leverage, be sure to watch out for the risk of positive funding rates. Viewpoint: This round of the bearish trend shows no signs of ending. As long as the key resistance level is not firmly reclaimed, short positions can be patiently held without being shaken out by short-term rebounds. Never let short-term fluctuations influence your long-term cycle judgment in trading; patience is the greatest chip for excess returns. #新手必看: Everything you need is here $WET Today's incident made me feel it's necessary to break down the logic chain. The Triple-A wallet continues to lose money, with cumulative losses reaching around $11.8 million, and funds are not just flowing out from a single chain—multiple chains like Bitcoin and Tron are losing money simultaneously. The market's first reaction was that WET rose 2.08% in the short term, but overall sentiment was cold, and mainstream assets did not move significantly. Why do I think it's worth paying attention to—this isn't a black swan for a single exchange, but the ongoing exposure of vulnerabilities in cross-chain hot wallets. Additionally, South Korea seized $4.92 billion in illegal foreign exchange transactions, involving cryptocurrencies as transfer tools. These two signals overlap and point in the same direction: regulation and security are simultaneously squeezing market liquidity. Let's simulate the chain reaction: - What happened? The Triple-A incident exposed the security vulnerabilities of cross-chain hot wallets. Funds flowing out simultaneously from Bitcoin, Tron, Ethereum, TON, and Solana indicate that the attacker or internal issues have penetrated multiple chains and are not isolated incidents. - How should funds be understood? Short-term risk aversion is heating up, but WET, with its small market cap and high volatility, has been pushed up by a small amount of bottom-fishing funds. This is more like local speculation, not a systemic recovery. BTC, ETH, and SOL are currently trading sideways, indicating that big money is waiting for regulatory action after the incident escalates—the illegal foreign exchange case in South Korea is likely to trigger stricter KYC and anti-money laundering policies. As an altcoin, WET's resilience depends more on whether risk appetite can recover, rather than on fundamental support. My observation criteria are simple: - First, if BTC holds above $28,000 within the next 48 hours and trading volume increases, it indicates the market has priced in security events and regulatory negatives, and WET may follow in a recovery to near $0.075. - Second, if more exchanges or wallets are exposed with similar issues after the Triple-A event, and funds continue to shrink, WET is likely to retest the $0.065 support level, and the rebound will lose momentum. Risk warning: Safety incidents combined with tightening regulations make short-term sentiment very fragile. WET's independent market could be interrupted at any time by selling pressure. Don't chase high prices just because of a small rise; first see if BTC can hold steady.Breaking down Micron Technology: Why did a company selling memory earn nearly $30 billion in a single quarter? The AI sector has been buzzing lately. When I look at the semiconductor industry, I keep seeing the name "Micron Technology." After the earnings report was released, the stock price surged 16% in after-hours trading, with a market value holding above $1 trillion—how did a company selling memory become the "hard currency" of the AI era? So I specifically took it apart. Disclaimer: This article is not investment advice, but merely an observation of enterprises and the industry chain. Micron Technology was founded in 1978 and is headquartered in Boise, Idaho, USA. It is one of the world's top three memory chip manufacturers (the other two being Samsung and SK Hynix). Its core products consist of only two categories: DRAM and NAND. DRAM stands for Dynamic Random Access Memory, which can be understood as the device's "workbench"—the place where computers, phones, and servers temporarily process data during operation. The faster and larger the capacity, the smoother the device runs. NAND is a flash memory chip, which can be understood as a "warehouse"—the core of an SSD is NAND, responsible for long-term data storage. These two things may sound ordinary, but they are the foundational building materials of the entire digital world. Without memory, AI can't be trained, cloud computing can't run, and phones and computers are all stuck in their nests. Micron's role in the supply chain is somewhat like that of a building materials seller—it doesn't directly face ordinary consumers, but every server, every phone, every smart car contains its products. First, the performance is "explosive." On June 25, Micron announced its third-quarter fiscal 2026 results: revenue of $41.46 billion, a year-on-year increase of 346%; Net profit was $28.24 billion, nearly a 14-fold increase year-on-year. The gross margin reached an astonishing 84.9%. A manufacturing company earned nearly $30 billion in a single quarter. Even more impressively, the company expects fourth-quarter revenue to reach $49 billion to $51 billion—surpassing the entire year (about $37 billion for the full year 2025). Second, AI has completely rewritten its story. In the past, the memory industry was a typical cyclical manufacturing sector—severe product homogenization, with prices fluctuating sharply with supply and demand. Micron lost over $5.8 billion in fiscal year 2023 and earned nearly $30 billion in just one quarter by 2026. This contrast used to be called a "cycle." Now, Micron calls it "AI." AI demands extremely high memory — larger capacity, higher bandwidth, and lower latency, giving rise to HBM (High Bandwidth Memory): vertically stacking multi-layer DRAM chips and packaging them together with GPUs to provide extreme data throughput for AI chips. Micron HBM4 is now in mass production, with the first mass-produced platform tied to NVIDIA's next-generation GPUs. Every top-tier AI computing card shipped carries Micron memory. Third, 16 "locked" long-term agreements were signed. Micron has signed long-term supply agreements (SCAs) with 16 strategic customers, covering data centers, consumer electronics, and automotive markets, typically lasting five years (automakers three years). These agreements are highly binding "guaranteed" contracts—the client paid approximately $22 billion in performance bonds in advance. Based on the minimum contract price, the remaining term's cumulative guaranteed minimum revenue is about $100 billion. Simply put: the meals for the next three to five years have already been brought to the table ahead of time. Micron's two most profitable businesses—cloud storage and data centers—together contributed about 61% of Q3 revenue. DRAM contributed 76% of total revenue, while NAND accounted for 24%. Micron's upstream supply consists of semiconductor equipment and raw material suppliers: silicon wafers come from Japan's Shin-Etsu Chemical and others, and lithography machines come from the Netherlands' ASML. Additionally, a group of A-share companies are deeply tied to Micron's supply chain—Taiji Industrial, Deep Technology, etc. for packaging and testing; Yak Technology supplies HBM precursor materials; Montage Technology supplies memory interfaces. Micron adopts an IDM (Integrated Equipment Manufacturing) model—handling everything in-house, from design and manufacturing to packaging and testing. This is the biggest difference between it and pure design companies like NVIDIA: it designs chips and manufactures them in-house. Micron's customers do not directly engage with ordinary consumers but cover almost all technology products: Nvidia, AMD (AI chips), Apple, Xiaomi (smartphones), Tesla (automobiles), Amazon, Microsoft (cloud services). In the global DRAM market, Samsung ranks first with a 38% market share, SK Hynix is second with 29%, and Micron is third with 22%. Together, these three companies account for over 70% of the global DRAM market share, forming a typical oligopoly structure. Micron's role in the industry chain is essentially that of a "core component supplier"—not directly facing consumers, but without it, the entire AI industry chain would come to a halt. After breaking down Perfect Light's fundamentals, if I want to continue in-depth research, I usually use Wanlian Moore's enterprise insights feature for three things: Step 1: In-depth enterprise insight—first examine the company's basic information, main business, equity structure, risk information, and upstream and downstream relationships to get a clear grasp of the company's "foundation." Step 2: Corporate financial analysis—looking at profitability, growth, debt repayment, and operating capability. For example, Micron's Q3 revenue grew by 346%, gross margin was 84.9%, and its debt-to-asset ratio was 24.9%. What do these figures really mean? Financial analysis can help you break down more thoroughly. Step 3: Public Opinion Hotspot Tracking—Track recent changes in orders, customers, policies, or risks. For example, Micron's cooperation with Anthropic, the signing of 16 SCA agreements, and the advancement of the U.S. MATCH Act are all developments that can only be captured in real time through public opinion tracking. 1. Can orders be sustained? Sixteen SCA agreements lock in a guaranteed minimum revenue of about $100 billion over the next 3-5 years, but the speed of acquiring new orders is equally critical. By 2026, HBM capacity will be basically sold out, and the pace of subsequent capacity releases will determine the ceiling. 2. Can gross margin be maintained? An 84.9% gross margin is considered "monster-level" in manufacturing. But almost all profits come from price increases rather than selling more products—once supply and demand reverse, the speed of price corrections is equally astonishing. 3. Pace of capacity release. Micron is building two wafer fabs in Idaho, with the first expected to produce the first batch of wafers by mid-2027 and the second by the end of 2028; Production clusters for four wafer fabs in New York State have also been planned. When new capacity can keep pace with demand is key to determining how long this boom can last. #长鑫科技上市, global storage competition adds variables $MU When Business Degenerates into Politics: What Does the 'White House Battle' Between Apple and Micron Reveal? A few days ago, an exclusive report from The Wall Street Journal brought a game that had been brewing beneath the supply chain undercurrents into the spotlight: Apple CEO Tim Cook and Micron Technology CEO Sanjay Mehrotra both rushed to the White House to engage in a rare direct confrontation over whether to allow Apple to purchase Chinese memory chips. On the surface, this dispute appears to be a conflict of interests between two American giants, but behind it lies a deep struggle over industrial competitiveness, market logic, and political interference. Apple's reasoning is straightforward and powerful: global storage chip prices have surged to four times their original level over the past year, and data from research firm TechInsights shows that the upward trend continues. As the world's largest purchaser of memory chips, Apple's bargaining power has plummeted amid the frenzied purchase of high-end memory by AI data centers. Apple pointed out that Micron's gross margin has soared above 80%, clearly suspected of excessive profits, and the new capacity is prioritized for higher-margin AI customers rather than consumer electronics. Cook's plan to Trump, Commerce Secretary Rutnick, Treasury Secretary Besent, and other high-ranking officials was to introduce chips from Changxin Memory (CXMT) and Yangtze Memory (YMTC) into Apple products sold outside the U.S. to ease supply tightness and lower terminal prices, thereby avoiding "creating inflation." Micron's counterattack is even more challenging. CEO Mehrotra warned the White House: regardless of where the final products are sold, allowing Chinese memory chip companies to enter the supply chains of American tech companies could destroy the U.S. domestic industry—"Micron will become the next American steel mill." Micron emphasized that it has committed to investing $250 billion in the U.S. to expand capacity, which can alleviate supply shortages by accelerating domestic factory construction rather than relying on "state-subsidized" Chinese competitors. Ironically, what Micron has shown in this game is a typical "two-sided logic." On one hand, Micron has long called on China to open its market and lift sanctions; On the other hand, it continues to pressure the U.S. government, demanding increased sanctions on Chinese chip manufacturers such as Changxin Memory and Yangtze Memory, and even stopping the sale of advanced manufacturing equipment to China. This "I advance, you retreat" strategy is essentially abnormal business competition but has thoroughly politicized commercial behavior. Why is Micron so nervous? The answer may lie in another detail: before taking over Micron, Mehrotra was CEO of another Apple supplier, SanDisk, and his deep aversion to Apple's "notoriously aggressive" purchasing strategy led him to "rarely meet with Apple." This pent-up resentment was completely reversed in the AI era—memory chips were in short supply, and Micron finally gained the upper hand in the bargaining process. But deeper anxiety lies in the speed at which Chinese memory chip companies are catching up technologically, which has already made Micron feel a real threat. The most noteworthy core signal in this "White House dispute" between Apple and Micron is that normal business competition is being forced to resort to political means. What does this mean? This means that in terms of pure technology, cost, and management, American companies can no longer compete with Chinese counterparts through market-oriented means. As the world's most discerning supply chain manager, Apple's willingness to take political risks to lobby for the use of Chinese chips precisely shows that Changxin Memory and Yangtze Memory's products have reached standards in performance and cost that appeal to Apple—this is the result of years of technological accumulation in China's storage industry. Micron is using political power to stop it precisely because it realizes that once a benchmark customer like Apple "opens the gate," the penetration of Chinese memory chips into the global supply chain will be unstoppable. The Trump administration is now caught in a dilemma: on one hand, the promise to voters to "lower prices," and on the other, the grand narrative of "revitalizing American manufacturing." Whichever side is ultimately chosen, it will tear off a veil of U.S. industrial policy—when "national security" is frequently used as a tool for trade protection, when market competition is no longer decided by the products themselves but by lobbying in the White House's Oval Office, the "free market" principle that America champions is being broken by itself. On the surface, the dispute between Apple and Micron is a battle of interests between two companies, but in reality, it is a microcosm of the dramatic changes in the global semiconductor industry landscape. As Chinese companies shift from being "chasers" to "feared ones," and American companies shift from "rule-makers" to "rule-seekers," the order of an old era is loosening. Business is business, politics is politics—but when business must rely on politics to survive, what truly needs reflection may not be the "threat" from Chinese companies, but why some companies have lost confidence in fair competition. Work statement: Published only on Toutiao, views expressed do not represent the platform's position #Changxin Technology goes public, global storage competition adds variables $MU A key reminder to all traders: the key moment is drawing nearer. The Federal Reserve's FOMC meeting will announce its interest rate decision at 02:00 AM Beijing time on Thursday, making this week a critical window of intertwined events. I have identified several core variables currently: expectations of a US-Iran ceasefire are driving oil prices down, which to some extent alleviates market inflation anxiety; However, the latest initial jobless claims data are only 187,000, and the labor market remains robustly resilient, which will further limit the Fed's room to cut rates. Besides the interest rate meeting, there are many major events this week. Microsoft, Meta, and Amazon have successively released their earnings reports, with the market closely watching the capital expenditure direction of major companies; On July 31, FTX's fifth round of about $900 million in creditor compensation will also begin. The market has already reacted in advance, with risk appetite warming up. Bitcoin has climbed back above $65,000, and the Panic and Greed Index has rebounded to a monthly high. Oil prices, employment, tech giants' earnings reports, and the Fed's decision will all be factored in before and after the meeting. This time window of multi-variable collision is likely to amplify market volatility. I will maintain a conservative position and patiently wait for decisions to be finalized before making further arrangements. #美联储周四凌晨公布利率决议 #创作者激励 This is going to be a very interesting week for $BTC. Over the past 12 months, eight of the last nine FOMC meetings have been followed by a relatively large sell-off. Across those eight flushes, BTC declined roughly 10% on average over the following week. During last month’s meeting, price was trading in almost exactly the same region as it is today. BTC traded around $66K, then dropped roughly 12% to $58K, setting new cycle lows. The one exception was the previous meeting in May, when BTC produced the opposite reaction and rallied roughly 5%. So another bearish reaction is not necessarily guaranteed. We have already seen this pattern fail once during the current bear market. But 8 out of 9 is still not a statistic I am interested in betting against. If the same reaction plays out again, we’re likely to see a key test of the range lows. I’m personally watching whether $61K can hold as support. That level is the gatekeeper between another pullback inside the current range and a potential flush to new lows. $BTC Global market shaken in the early hours! Oil prices plunged, gold surged, and tonight's final trend is set Capital markets are the most sensitive; even the slightest disturbance can stir up storms. Who says that a short-term easing of the situation can stabilize the global financial market? At 6 a.m. Beijing time on Monday, major global opening assets collectively staged an extreme reversal, with sharp divergence, directly disrupting last week's market rhythm and catching countless investors off guard. Veteran investors often say that the market is always speculating on expectations, not the current situation. Last week, the core hotspot in global markets was the escalation of the US-Iran conflict. The tense Middle East situation has pushed risk aversion to the limit, with funds frantically flocking to safe-haven assets like crude oil and the US dollar, pushing oil prices to high levels and creating a very high war risk premium. But at the opening of this week, the situation cooled briefly, and the market instantly underwent a major reshuffle, with all funds frantically engaging in reverse operations. The market volatility at the start of this round was truly explosive, with astonishing changes in core asset data. International oil prices immediately entered a plunge mode, opening down 5%, with intraday losses expanding to 8%. The gains driven by last week's geopolitical conflicts almost all recovered in early trading. In stark contrast to the sharp drop in oil prices, gold saw a strong jump, opening directly up over $30 and steadily pushing toward the $4,100 mark, marking a strong return for safe-haven precious metals. The stock market, bond market, and foreign exchange market also saw significant movements. US stock futures gapped up at the open, quickly recovering all losses lost from last Friday, and risk asset sentiment quickly recovered. The bond market also showed notable movements, with the 10-year Treasury yield dropping sharply to the 4.63% range. Meanwhile, the US Dollar Index, which represents global dollar liquidity, opened lower with a gap but still firmly held the key level of 101, without a deep plunge. Many people wonder why the market reaction is so extreme that the U.S. and Iran have temporarily ceased their attacks and not officially announced a ceasefire. The core reason is simple: last week, global funds poured heavily on war risks, and the crude oil sector became the most crowded trading direction online, accumulating massive long positions. Once signs of easing appear and large amounts of capital concentrate to close positions and exit, a stampede downward trend occurs. This is the fundamental reason for the sharp drop in oil prices—not a complete fundamental reversal, but a concentrated exit of crowded positions. More importantly, the current Middle East détente is only a temporary tactical pause and cannot be considered a stable or long-term peace. Iran has made it clear that it will only halt its counteroffensive actions under the premise of the U.S. suspending strikes, and neither side has reached a written ceasefire agreement. Moreover, core conflicts such as the Strait of Hormuz shipping crisis and the Iran nuclear issue remain unresolved, diplomatic mediation is still in its early stages, and potential risks remain lurking. So the market will soon see a two-stage trend, and everyone must focus on distinguishing between them. During the Asian session, the market mainly overloaded the benefits of the shutdown in advance, with funds concentrating to close positions and fully capitalize on short-term positive factors at once. But by the European and New York trading hours, the market will return to rationality and begin a deep review: Is this cooling of the situation the beginning of a long peace, or a brief tactical respite? This also means that the extreme ups and downs in the morning session may not last until the close. In addition, this round of market reversal hides a key policy signal. Previously, the 10-year U.S. Treasury yield hit the 4.7% mark, which has become Trump's regulatory bottom line, replacing the previous 4.66% defense. The capital market has figured out the pattern; as long as US Treasury yields approach 4.7% again, a new round of policy intervention is very likely, triggering a market trend reversal. The 101 level of the US dollar index is the core watershed of today's global market; understanding it means understanding the day's movements. If the US dollar index falls below 101 afterwards, it indicates that the market truly recognizes the easing of the Middle East situation and that the rebound in risk assets is sustainable; Conversely, if the 101 level holds or even rises against the trend, it proves that funds do not believe in a brief pause and continue to hold safe-haven positions. The gap between early oil price and stock market gains and losses is very likely to gradually narrow and recover. There is another key point that's easily overlooked: the Fed's rate decision at 2 a.m. this Thursday is the ultimate judge of this round of market movement. Trump currently has strong momentum to suppress oil prices. If oil prices remain high, it will once again push up inflation expectations and U.S. Treasury yields, directly giving the Fed an excuse to maintain a hawkish stance or even raise interest rates. Therefore, before the interest rate decision is implemented, the market will continue to negotiate the balance among oil prices, inflation, and interest rates. Short-term market shocks are never the end of the situation, but the starting point of a new round of strategic maneuvering. The sharp morning swings were merely an emotional outlet; the true market direction and final judgments were all left to tonight's European and American trading sessions. The capital market never has absolute stability, only continuous competition. We should not be swayed by the extreme market conditions in the morning. A brief easing of the situation does not mean risk clearance; all asset movements ultimately reflect fundamentals and policy factors. Patiently wait for the evening market to verify the situation, and only then can we see the true direction of this round of global market trends. #美军暂停对伊空袭, international oil prices opened sharply down $XAU 机构进场了？别急着高潮。进来了，但人家是来占坑的，不是来扶贫的。下半年有机会，但得看清钱咋流的。说三件事： 1. 老美扛不住了。就业烂成那样，降息躲不掉了，这才是比特币涨的原因，别啥都往机构身上赖。 2. Vanguard都怂了，12.5万亿的巨头以前一提BTC就翻白眼，现在乖乖让客户买ETF。客户跑了呗，再不低头饭都没得吃。 3. ETF是回流了，五天进了7亿多，听着还行？前面八周跑了80多亿呢。毒打一顿贴个创可贴，真当没事了？上个月跌破6万，18万人爆仓，Strategy都差点跪。机构？机构照样吃瘪。散户就看一个指标——ETF能不能连着几周净流入。能就跟，断了就收手。机会在降息，在华尔街真动手的时候。但咱永远慢半拍，所以别信嘴炮，信钱。ETF周报比大V靠谱一万倍。相关币种:$MSTR $STRC $BTC BTC structure has not strengthened, and altcoin differentiation is an obvious feature of stock competition, not a general rally signal. When market consensus suggests that the altcoin season is approaching, is actual liquidity supporting this expectation? The original article listed tokens with obvious on-chain whale capital inflows and outflows, but the core judgment is not the "altcoin season starting," but rather "highly selective concentration of funds." $JTO, $LAB, $BSB, $CHIP, etc., are marked as whale focus zones; $BEAT, $EDGE, $TRUMP, $VIRTUAL indicate cooling; $MEME, $EDEN, $ZKP, $METIS are classified as "zero-liquidity death zones." This is a qualitative assessment of the current market structure: not overall rotation, but extreme differentiation. - Factual level: The original text does not provide specific timestamps or on-chain data sources, nor does it specify the amount of position changes for the whale address. This is a classification based on personal observation of strength and weakness, and should be regarded as a subjective signal from market participants, not a verifiable fact. - Structural changes: The original text views BTC as the core of liquidity, ETH as the main battleground for institutions, SOL as high Beta positions, $TAO and $WLD represent AI narratives, $HYPE as risk appetite indicators, and $DOGE and $ZEC as indicators of retail investor sentiment. This framework implies that as long as BTC does not confirm a breakout, altcoins as a whole cannot receive sustained incremental funding, and differentiation will only intensify. - Pricing impact: If the original whale signal is accurate, it means a few tokens may outperform the market in the short term, but most tokens face the risk of a bearish decline after liquidity runs dry. This is a reverse correction to the consensus of the "knockoff season"—the market may not be rotating upward, but rather contracting funds into a few stocks, with the rest being eliminated. Bullish path: BTC has stabilized and broken previous highs with increased volume, driving risk appetite to rebound. Funds have spread from core coins to whale-focused stocks, turning differentiation into localized gains. Bearish risk: BTC continues to move sideways or pull back, whale funds are merely short-term games, and the listed tokens lack narrative support, leading to divergence evolving into a comprehensive liquidity contraction and an expanding death zone. Conclusion: The current market is not waiting for rotation, but for BTC to set direction. In a divergence market, liquidity signals are more important than narratives. The condition for trend failure is that BTC cannot confirm a breakout, rather than a rise or fall in the altcoin. $BTC $ETH $PUMP thesis + trade setup from last week's stream: Generating $1M+ in daily revenue despite some of the weakest on-chain conditions we've seen is worth paying attention to. This is one of the few crypto narratives where the biggest headwind is market sentiment, not the underlying business. If activity on $SOL picks up again, $PUMP has a realistic path back to all-time highs. For context, $HYPE trades at roughly 15x the valuation despite posting similar cumulative revenue over the past two years. Sometimes the opportunity isn't in better fundamentals—it's in better sentiment catching up to strong fundamentals. #KoreaAIChipPush #JoblessClaimsDrop I just finished watching Fake Asset Looter (FAL) on Ethereum, one of the few early-stage projects today that is not just telling stories but already moving on-chain. What it does is straightforward: it uses Chainlink's random numbers to select a target from the FWA NFT pool, settles it into ETH, and buys back and burns FAL through Uniswap v4. The official website lists mainnet contracts and multiple transactions, currently showing about 25,150 FAL burned, accounting for approximately 2.515% of the initial supply. Contract: 0xBD6E8d6Db9e330569eaaC4b1D92aC5648D51c7a6 Official website: https://fal.fun/ The security items I can confirm include: token codes are public, not an upgradeable proxy, cannot continue issuance, no hidden owners, no blacklist or whitelist or balance modification functions, and current trading tax is zero. At about one hour, the fully diluted valuation was about $41,900, with pool reserves around $29,900, traded about $32,400, with 88 independent buyers and 40 sellers. But right now, it's not optimistic. Core contracts responsible for purchase, settlement, and buyback are not audited by third parties; The distribution of front-row wallets cannot be reliably confirmed for now; The official website claims that the liquidity positions have been destroyed, but I haven't fully verified this with a second source. Next, let's look at three things: whether each NFT settlement and burn can match each transaction one by one; Whether the core contract has room for administrators to withdraw or change rules; Whether front-row wallets share the same origin and ship together. If any one fails, then the observation is abandoned. Additionally, the previously mentioned GLITCH has expired: wallet creation dropped from about 1.05% to zero, the price dropped by about 75% within two hours, and a large number of tokens were sold back to the Union Curve. The fact that the AI page is still there doesn't mean the token is worth making excuses for. High-risk research records, not trade advice.$SKHYNIX $MU Changxin goes public, so why did Hynix and Micron actually fall? Because the market trades not on today, but on the future. In the past, DRAM has always been a high-barrier industry dominated by a few giants, with profits built on an oligopoly structure. Changxin going public means the market is starting to reprice a new variable — the rapid rise of China's storage industry. From both trading logic and long-term expectations, investors are not worried about how much share Changxin can take today, but that this market may no longer be a high-profit oligopoly in the future. For Hynix and Micron, this means long-term competitive pressure and profit margin expectations need to be revalued. The market is not falling because of current performance, but because of the future.Cisco's AI opportunities lie not in chips, but in the networks that connect everything AI data centers are getting larger, and beyond servers, they also need switches, security systems, and management software. Cisco's opportunities may not be dazzling, but they are very real: whether data runs fast, whether the system is secure, and who is responsible if problems arise? Network equipment revenue cycles, and customers may delay purchasing when inventory is high. If AI-related orders are concentrated in only a few projects, they will fluctuate greatly; If companies purchase security, observability, and network management together, software revenue can smooth out part of the hardware cycle. I look at orders, product mix, subscription revenue, and customer renewals. Cisco doesn't need to become the next GPU star; it just needs to prove that existing customers are willing to continue entrusting critical networks to it. "The value of infrastructure is often most apparent when no one is paying attention." BTC prices can change the sentiment of tech stocks, but they cannot replace judgments about the network's update cycle. This article is for informational and educational purposes only and does not constitute any investment advice. Digital asset prices are highly volatile. Please #earningsObserver: Can Microsoft, Meta, and Amazon hold the AI narrative? $BTC Independent judgment and attention to risks.**Reporting, Captain! The fire scene map is out, and the entire crypto market is in a full-scale burning phase! ** Look at CoinGecko's Q2 report: total market cap continues to shrink to 2.1 trillion, more than halved from last year's peak—this isn't an ordinary pullback, it's a structural overheating of the entire financial building! A 52% pullback, by our standards, already exceeds the threshold for "Level 1 Fire Alarm" and is close to 70% of the historical standard collapse area. **Watch the quarterly performance of BTC and ETH: BTC -14.2%, ETH -25.4%. ** It's like when a fire breaks out, the core support pillar (BTC) is barely holding, but the secondary bearing wall (ETH) has already begun to peel off and collapse on a large scale. A sharp drop in trading volume of over 20% means the liquidity "spray system" is under insufficient pressure—once panic selling occurs, the market will have no time to extinguish the fire. **Even more dangerous signals: Total stablecoin market cap shows its first quarterly decline since Q3 2023! ** Don't treat this as an ordinary indicator—in a fire scene, it's like our 'fire extinguishing water source'—the water level in the fire water reservoir is dropping! Stablecoins, as a capital pool for market entry, will continue to shrink, causing severe shortages of bottom-fishing funds in the next wave. If bulls try to counterattack, there will be no water to use. **I observed that while spot volume on CEXs fell by 27.9%, perpetual contract volume only dropped by 10%. ** Those in the know this is the most dangerous hazard—trading volume shrinks but leverage remains—just like when we enter a fire and find the pressure of an air respirator dropping, all the firefighters are still forcing the breach! Once the isolation door for forced liquidation is breached, the chain reaction of liquidation will instantly engulf the entire floor like a "reverberation." **There is only one outlier: the market is forecasted to grow 48.7% against the trend. ** It's like a "casino" suddenly popping up in a fire—someone is throwing money into the fire to bet on how the fire will go. Professional firefighters would never participate in such bets, because in our view, the prediction market is the biggest **hollow trap** in a burning building. **One fallback remains: BTC is attempting to break through a five-month downward channel, with IBIT buying and spot ETF buying continuing to accumulate. ** But it's like a "smoke sensor" in a fire scene—we need to wait for wind changes to confirm, not rush along the load-bearing wall now. Remember: your life is worth more than any fire, **the safe lane is always built on the defensive end**. #影响周期 · Quarterly #加密数据 · Quarterly Report · Market Cap #Q2市值 $2.1 trillion · -12.6% · Three consecutive quarters of decline # #btcbreaks5monthdowntrend Oracle's cloud growth is key, with real usage outside of contracts Oracle's hottest topic recently is cloud and AI infrastructure, but rapid cloud revenue growth doesn't mean every project will make money immediately. Data centers, chips, and electricity all require initial investment, but customer usage may take years to fully ramp up. So I am more concerned about whether the remaining performance obligations can be converted into revenue on time, and whether capital expenditures are covered by customer usage. Large contracts excited the market, and stable monthly consumption reassured the finance department. Oracle's strength lies in its database. Enterprises find migrating data troublesome and are reluctant to easily switch core systems. The problem is, the cloud market is highly competitive, with both pricing and services changing. Whether the moat can turn into cash depends on whether customers continue to bring in critical workloads. "Ask if it's right first, then why." Oracle's AI story is vast; its financial reports focus on orders, deliveries, and payment collections. BTC volatility can affect technology valuations but cannot replace assessments of cloud utilization. This article is for informational and educational purposes only and does not constitute any investment advice. Digital asset prices are highly volatile. Please #earningsObserver: Can Microsoft, Meta, and Amazon hold the AI narrative? $BTC Independent judgment and attention to risks.Can you still chase SOXS after its big rise? The key is not to look at the rally, but whether semiconductors have truly weakened In the most recent trading day, SOXS closed at $51.53, up about 13% in a single day, reaching an intraday high of $52.80; meanwhile, SOXL fell about 13%. This indicates that short-term risk release in the semiconductor sector has shown significant risk, with short selling funds temporarily taking the lead. But after SOXS's rapid surge, the most important question now is not "how much more it can rise," but rather: Is the decline in the semiconductor sector a short-term correction, or is the trend starting to weaken? 1. First, understand what SOXS is SOXS is a leveraged ETF that shorts the semiconductor index with a 3x x. It aims for about three times the semiconductor index's single-day decline in reverse returns. For example, the semiconductor index fell 2% in a single day, while SOXS theoretically could rise by about 6%; But if the index rises by 2%, SOXS could also fall by about 6%. It is important to note that SOXS only tracks a single-day inverse triple performance and does not mean that holding for one month or a year still yields returns equal to three times the index's cumulative decline. Due to daily rebalancing, compounding, and volatility losses, it is better suited for short-term trend trading and not for unplanned long-term holding. 2. The core reason behind SOXS's recent rise Recently, leading semiconductor companies have generally come under pressure. In the latest trading day, Nvidia fell about 0.8%, AMD dropped about 3.3%, and Broadcom dropped about 2.7%. Leading stocks weakened simultaneously, significantly dragging down the entire semiconductor sector and directly driving SOXS higher. I believe there are three main reasons behind this round of correction. First, the previous gains were large, and funds began to take profits. The semiconductor and AI sectors have long been favored by capital, with valuations and market expectations already at high levels. Once the leading stock fails to exceed expectations, short-term funds tend to choose to cash out profits. Second, the market is beginning to reassess the rate of return on AI investments. Nvidia's latest quarterly revenue reached $81.6 billion, up 85% year-on-year, and data center revenue reached $75.2 billion, up 92% year-on-year, with fundamentals remaining strong. Precisely because market expectations are already high, investors now demand not just growth, but sustained and significantly exceeding expectations. Third, semiconductors are a highly volatile sector. When market risk appetite declines, tech stocks with higher valuations and earlier gains are more likely to undergo concentrated reductions. 3. Whether SOXS can continue to rise depends on three key signals 1. Can leading semiconductor companies stop falling? Whether SOXS can continue to strengthen ultimately depends on leading companies like NVIDIA, AMD, and Broadcom. If these stocks fail to rebound and continue to break below short-term support, it indicates that funds are still withdrawing, and SOXS may continue its strong momentum. But if the leading stock quickly recovers its losses, SOXS is prone to rapid pullback. The inverse triple ETFs rose quickly, but also fell quickly. 2. Can SOXS hold the breakout zone? SOXS surged rapidly from around $47 in a single day to above $51, indicating strong short-term momentum. Next, we can focus on the following: * Near $52.80: The intraday high of the latest trading day, also a short-term resistance zone; * Near $50: A round number threshold, can be seen as the short-term divergence between strength and weakness; * Around $47–48: The starting area for this round of rally. If the price can hold above $50 and break through $52.80 again with increased volume, the short-term trend remains strong. If it quickly falls back to the $47–48 range, it suggests that this rally may be more sentiment-driven than a sustained trend. 3. Will the rise be accompanied by a sustained decline in semiconductors? You can't just look at SOXS's own candlesticks. A truly effective rally should occur simultaneously: * Semiconductor indices continue to weaken; * Leaders like Nvidia and AMD failed to rebound; * SOXS trading volume remains active; * Market risk appetite continues to decline. If SOXS rises but semiconductor leaders have already started to stabilize, one should be wary of inverse ETFs surging and then pulling back. 4. Current factors supporting SOXS continued strengthening Currently, several factors are relatively favorable for SOXS: First, the semiconductor sector experienced a collective short-term correction, with several leading stocks weakening simultaneously. Second, tech stocks that had previously risen significantly face pressure to realize profits. Third, SOXS's latest trading volume exceeded 63 million units, indicating high short-term capital participation. If the semiconductor sector continues to break down, SOXS still has the potential for an upward surge. 5. The greatest risk facing SOXS The biggest risk for SOXS is not that "semiconductors will definitely rise in the long term," but that the semiconductor sector could experience a strong rebound at any time. The fundamentals of the AI industry have not yet clearly collapsed. Nvidia's latest quarterly revenue and data center revenue continue to grow rapidly, indicating that the long-term logic for semiconductors still holds. Therefore, going long on SOXS is essentially trading: Semiconductors are experiencing a short-term correction, not a denial of the long-term trend of AI. If the market resumes trading in AI growth, tech earnings reports, or risk appetite picks up, SOXS could experience double-digit drawdowns in a very short period. Additionally, SOXS conducted a 1:20 reverse stock split in March 2026, so historical highs cannot be simply judged by absolute prices before and after the stock split. 6. My viewpoint My judgment is: SOXS remains strong in the short term, but after a sharp rise in a single day, the risk of chasing directly at the high has clearly increased. If the semiconductor leader continues to break below support, SOXS holds $50 and breaks above $52.80, the trend may continue. If Nvidia, AMD, and other stocks quickly stop falling and rebound, SOXS may quickly fall from its highs. Therefore, I prefer to wait for confirmation rather than buy emotionally after seeing a rise. For a 3x inverse ETF like SOXS, direction judgment is only the first step; position, stop-loss, and holding time determine the final outcome. You can go long on SOXS, but it's better suited for short-term trend trading, not for long-term holding. What kind of trend do you think will follow next? A: Semiconductors continue to adjust, SOXS breaks previous highs B: SOXS surged and then retreated, and semiconductors began to rebound C: Bullish and bearish oscillation, waiting for a new direction This is only a record of personal market observations and does not constitute investment advice. $SOXS $ORDI The calm before the storm may finally be ending. $ORDI is showing renewed strength as buyers continue defending important levels. Volume is rising, Bitcoin ecosystem tokens are gaining attention again, and whale activity is increasing. A breakout could follow if support holds. EP: $3.75–3.85 TP: $4.20 | $4.65 | $5.20 SL: $3.50 Big money is quietly entering the market—I've been paying more and more attention to a signal lately Recently, I realized that what truly changed my view wasn't how much BTC had risen, but more and more traditional financial institutions were starting to actively invest in positions. Since July, Vanguard has begun offering crypto asset-related services, New York Mellon has advanced pilot tokenized Treasury bonds, and Citadel has invested $400 million in Crypto.com. At the same time, BTC spot ETFs also saw net inflows for seven consecutive trading days #Voices of Trading: Your experience deserves to be heard Interestingly, market sentiment did not become optimistic because of this, with the fear index still hovering around 28. This is also what I think is most noteworthy: institutions are slowly buying, while retail investors are still waiting for "certainty." I don't usually follow whatever an institution buys, but I observe two data points: (1) Whether BTC spot ETF funds continue to have net inflows; (2) Are more and more traditional financial institutions continuing to invest real money? Because the biggest difference between institutions and retail investors isn't more information, but that they prefer to position when uncertain rather than wait for all the good news to materialize. Of course, institutional entry does not necessarily mean stock or coin prices will rise immediately; historically, there have been many cases where institutions bought and then continued to fall. But if capital, policy, and infrastructure all move in the same direction, I prefer to believe in long-term trends rather than daily ups and downs. For me, rather than guessing the next candlestick, it's better to keep tracking what the "smart money" is really doing Adobe's AI ultimately falls on designers' schedules Generative AI makes creative software faster and has also raised market concerns about whether software will be replaced by free tools. Adobe's real challenge isn't whether you can display a stunning button, but whether it can reduce designers' overtime, reduce company revisions, and get content teams online faster. The subscription model provides Adobe with stable revenue, but customers also review the software's value year by year. If AI features are just for extra charges, customers will compare; If Photoshop, Illustrator, and documentation workflows can be embedded, the reasons for renewal become clearer. I will look at net new subscriptions, ARPU, digital media profit margins, and frequency of AI feature usage. The best AI products are not about showing off for customers, but about turning complex tasks into effortless actions. "The value of tools lies in enabling people to accomplish things they otherwise couldn't do." As long as Adobe holds the creator entry point, the story isn't over yet. BTC market sentiment can amplify volatility in software stocks, but it cannot replace monitoring renewals and cash flow. This article is for informational and educational purposes only and does not constitute any investment advice. Digital asset prices are highly volatile. Please #earningsObserver: Can Microsoft, Meta, and Amazon hold the AI narrative? $BTC Independent judgment and attention to risks.Crude oil fell as much as 7 points, yet A-shares opened in the green! Can the market continue to rally in the future? Overnight, international crude oil prices fell by as much as 7%, and the regional tensions in the Middle East have cooled down temporarily. In theory, this should significantly ease global inflationary pressures and benefit all sectors in technology, aviation, and chemicals. But today, A-shares opened lower and turned negative, leaving many investors puzzled: With such huge external positive factors not holding up, does the market still have upward momentum? 1. Let's start with the core: Why did the sharp drop in crude oil be a positive sign, but why did A-shares open in the green? 1. Changxin Technology goes public, with stock funds being extremely siphoned (today's biggest suppression) Currently, the A-share market is a game of existing capital, with no new capital entering the market, and the total amount of funds on the market is fixed. As a giant IPO in the history of the STAR Market, Changxin is estimated to have a turnover of 80-110 billion yuan on its first day. Institutions, quantitative investors, and speculative funds concentrated early on selling off small stocks and high-priced tech stocks to attract funds to participate in new stocks, directly dragging down the STAR 50 and semiconductor sectors, which opened lower and weakened, dragging down the market's opening level. This diversion is internal capital movement within the sector, not a bear market overall; it is just a short-term liquidity contraction in the morning session, and the sell-off wave will subside in the afternoon. 2. Safe-haven funds concentrate on cashing out cyclical stocks, dragging down index weights During the crude oil surge in the past two weeks, oil and gas extraction, coal, military industry, and gold continued to rally in groups, accumulating substantial profits. Today, oil prices plunged, and the logic of geopolitical risk aversion completely disappeared. Funds collectively fled to cyclical heavyweight stocks, while cyclical sectors held a high proportion of weights, directly dragging down the opening index and creating the illusion of "a weak market across the board." This is a sector rotation and switch, with funds flowing out of the cycle and gradually flowing into beneficiary sectors, not a completely bearish market. 3. Weak tech in external US stocks, sentiment suppressed in early trading Overnight, the Nasdaq and overseas memory chips adjusted simultaneously, with foreign capital slightly exiting A-share growth sectors in early trading, widening the opening lower; However, falling oil prices have pushed down U.S. Treasury yields, raising expectations for rate cuts, and the probability of foreign capital returning to growth stocks in the afternoon is very high. 2. Key conclusion: A-shares still have momentum to rise and turn positive today, with a high probability of a recovery in the afternoon Three hardcore logics supporting the overall market rally 1. The macro positive effect of the sharp drop in crude oil will not expire, providing medium- to long-term support for the market The sharp drop in oil prices directly suppressed global inflation expectations, so the market no longer worries about the Federal Reserve maintaining high interest rates. The valuation pressure on high-valuation semiconductors and AI computing power was lifted, which was a long-term positive signal throughout the day. Costs in aviation, logistics, and refining & chemical sectors have dropped sharply, earnings expectations have been revised upward. These low-level sectors will absorb capital outflows from the cycle, forming stable support. 2. Changxin's blood-pulling impact is limited to early trading; liquidity will recover in the afternoon Historical reference: SMIC IPO: On the morning of the first day of listing, semiconductors plunged across the board, but in the afternoon, capital diverged, with equipment and materials leaders turning positive first, and the indices all recovered within three trading days. 50% of Changxin's shares were locked in through strategic placement, with limited actual circulating shares. After early trading was sold off, on-market funds no longer needed to move and buy new shares, liquidity naturally warmed up, and bottom-fishing funds entered the tech industry chain. 3. Policy bottoms are solid, with very little downside for the index Previously, senior officials held a capital market symposium, sending signals of market stabilization. Support near 3800 points was sufficient. Simply diverting new stocks and disturbing external sentiment could not change the overall trend of oscillating and recovering. A lower opening instead triggered short-term panic selling, clearing selling pressure all at once. #美军暂停对伊空袭, international oil prices opened sharply down by $CL ETH's relative move today warrants a closer look. At roughly three times BTC's 24-hour gain, with the Iran strike pause pulling risk appetite back into markets, the outperformance looks positioning-driven rather than narrative-driven. Rotation into ETH ahead of broader alt momentum is a known pattern; whether this is that setup or just a one-session catch-up is still unclear. The macro backdrop adds friction. Jobless claims dropping gives the Fed less reason to move quickly on cuts, keeping real rates elevated and limiting the liquidity tailwind crypto needs to sustain a rally. Google and Tesla earnings this week matter more than most traders expect; a growth miss there could reprice the whole risk-on move. I'd want more confirmation before treating this bounce as structural. Just my read, not advice. #OKXOrbit

Orbit Topic Sitemap