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#美军暂停对伊空袭, international oil prices opened sharply lower
Expectations of a US-Iran ceasefire drove international oil prices to plunge at the open, with Brent dropping about 6% to around $91, risk assets rebounding in sync, and Bitcoin climbing back above $65,000. The market is betting on whether the cooling of geopolitical conflicts can translate into a more stable macro environment.
Funds are actually focused on whether a written agreement can be reached before the end of August, and the drop in oil prices will directly ease previous concerns about energy inflation. The ceasefire may be overestimated and the potential for recurrence may be underestimated.
In terms of judgment, the drop in oil prices is positive for risk appetite and a rebound in assets like BTC, but the validation depends on this week's macro data and ceasefire progress. If the agreement is implemented, the trend will continue; conversely, the oil price rebound will once again suppress sentiment.
The above is just a personal opinion sharing and does not constitute any investment advice. The market changes rapidly, and trading profits and losses are borne by the buyer.#财报观察员: Can Microsoft, Meta, and Amazon maintain the AI narrative?
The earnings reports of Microsoft, Meta, and Amazon will directly test whether AI capital expenditures can translate into commercial returns. Alphabet was previously sold off due to increased spending, and Tesla experienced a sharp weekly drop. The market is now betting on whether these three can maintain the narrative and avoid similar selling pressure.
Funds are focusing on the growth rate of cloud business revenue and the progress of AI productization. Excessive spending without corresponding returns will amplify anxiety. This may be misinterpreted as overinvestment, underestimating the long-term infrastructure demand.
In terms of judgment, if the earnings season shows a bias toward risk assets with positive guidance, BTC could rebound relying on the AI theme; the verification conditions are the capital expenditure data and cloud revenue growth released after hours. If both exceed expectations, sentiment will continue; otherwise, differentiation will intensify.
The above is only a personal opinion sharing and does not constitute any investment advice. The market changes rapidly, and trading profits and losses are at your own risk. #美联储周四凌晨公布利率决议
Oil prices have sharply retreated due to expectations of a US-Iran ceasefire, easing inflationary pressures combined with initial jobless claims below expectations, and risk appetite is warming up. Bitcoin has reclaimed levels above $65,000. The Federal Reserve's rate decision this week will be a key pricing event, with the market betting on whether policy will remain patient amid macro improvements.
Capital is actually focusing on whether the capital expenditure guidance from Microsoft, Meta, and Amazon can support the AI narrative, as well as the impact of FTX creditor compensation on market liquidity. There is a risk of misjudging the ceasefire as a permanent positive while ignoring repeated geopolitical variables.
In terms of judgment, risk assets are biased to the upside before and after this rate decision, but the validation condition lies in the cloud giants' earnings reports on Wednesday and Thursday. If capital expenditures exceed expectations and AI commercialization progresses clearly, BTC and others will continue to rise; conversely, if guidance is conservative, a pullback is needed.
The above is only a personal opinion shared and does not constitute any investment advice. The market changes rapidly, and trading profits and losses are at your own risk. Big money is quietly entering the market—have you noticed?
My judgment: this is not a retail frenzy, but a token swap completed by institutions at the high level of the "fear index."
Reason 1: ETF capital inflows resonate with macro signals. In July, the Fed's dovish stance and cooling employment data led BTC to rebound nearly 10% in a single week, driven by sustained net ETF inflows rather than retail FOMO.
Verifiable data: In July, BTC ETFs saw a weekly net inflow of over $500 million, and on-chain data shows that the frequency of large transfers (>1,000 BTC) rose 35% month-on-month, indicating institutions are accumulating shares at low levels.
My trading strategy: Don't chase highs, wait for pullbacks to 62,000 to 63,000 yuan, build positions in batches, keep positions within 15% of total funds to avoid being washed out by short-term fluctuations.
Reason two: Traditional financial giants enter the market, changing the market structure. Institutions like Vanguard and BlackRock, which once excluded crypto assets, are now not only launching ETFs but also testing blockchain payments, indicating that "compliance" is now a done deal.
Verifiable data: As of the end of July, 17 major banks worldwide have participated in blockchain payment testing, with 3 of them announcing the inclusion of BTC on their balance sheets—a historic turning point.
My trading strategy: hold BTC long-term as a "digital gold" allocation, but avoid leveraging in the short term, only using spot + dollar-cost averaging strategies to reduce timing pressure.
Don't let clickbait with 'big money entering the market' stirring up the narrative; the real opportunity lies in the details of 'how institutions are positioned,' not in the clamor of 'who made how much.'Compression end before the super week: BTC stuck between 63k–66.9k, ETH momentum leading the rally, storage chain rebounded in two days. On Sunday, the market was thin, and the market was almost flat — geopolitical downgrades benefited risk assets, but crypto had no volume and compressed to the end, all waiting for this week's FOMC + core PCE super week. Don't guess the direction at the narrowest bandwidth. 🌍 [Macro & Geopolitical Situation: Middle East Essentially Downgraded] · De-escalation confirmed: The U.S. has "suspended" bombing of Iran; Omani officials visit Tehran for talks on Friday; Iran stated that as long as the U.S. maintains a ceasefire and Iraq ceases its attacks, it is willing to continue negotiations in Geneva; Hormuz Shipping and Oman talks "progress," Qatar emphasizes ensuring freedom of navigation — risk premiums continue to fall. Latest Driver: The Commander of U.S. Central Command has suggested stopping bombing around Hormuz because "the effectiveness has reached its limit," which was the key reason for Friday's halt to strikes against Iraq. Confirmation of the market: WTI crude oil $85.91 (−1.38%) continued to fall, gold $4,073 (+0.18%) lukewarm = the market priced in as "risk premium retreat." · The tail end is not over: Netanyahu visits the U.S. with harsh threats; Iran's Supreme Leader demanded a complete end to operations against Lebana as the primary condition for understanding with the U.S.; A Ukrainian drone strike on an Iranian merchant ship kills one crew member—de-escalation is the direction, friction persists. 📈 [ Technical Aspects · $BTC] (Indicator based on the closed candlestick, current price is marked separately) · Current price: 64,689 (24h +0.🚨 ETH is starting to flex on BTC 👀
Risk appetite is back with the US-Iran pause, and the charts are noticing.
📈 ETH/BTC just printed its highest weekly close in 3 months.
That’s a signal money might be rotating out of BTC dominance and into Ethereum.
Right now the setup favors $ETH more than $BTC.
Is this the start of an ETH comeback?
BTC is still the anchor, but ETH is building momentum.
Watch ETH/BTC closely. If it keeps climbing, this rotation gets real.
#DailyOrbit @OKX Orbit
#CXMTMemoryIPO Strategy officially announces "bear market continuation": As the biggest bulls start to face reality, how much confidence does the market still have? $BTC
Market indicator Strategy released its latest disclosure, with the rare mention of "bear market continuation" in its wording. This is not just an adjustment to the financial framework, but also a major turning point in market psychology.
1. The shift from a "buy signal" to a "bear market framework."
Over the past two years, every Strategy buy announcement has been a "shot in the arm" for the market; "Saylor bought again" is almost equivalent to BTC surging in the short term. However, on July 24, CoinDesk reported that the headline directly quoted "bear market persists." This is the first time Strategy has acknowledged a bear market environment in its disclosure framework rather than announcing a new round of purchases. The flag bearer of "only going long, not just profiting" is adjusting its language to face reality.
2. Ledger pressure under the transition of time and space.
May 13: Saylor issued its 106th buy signal, at $81K, showing strong confidence.
July 27: BTC fell to $65K, Strategy adjusted its measurement framework, and official wording turned bearish.
Financial Status: Strategy's average holding cost is as high as $75,537, and at the current price of $65K, the unrealized loss is about -13.7%.
3. Not surrender, but a shake of confidence
Adjusting the Measurement Framework ≠ Clearing Inventory. Saylor has never truly reduced its position in its history; this adjustment is more driven by compliance needs for financial transparency.
But the key lies in market sentiment: when the toughest bulls stop making orders and start talking about the "bear market framework," this has a rather negative psychological impact on the market.
Strategy hasn't sold out, but its attitude is subtly shifting. For investors, this may be a signal: even the most staunch institutional holders are preparing for a "protracted battle," so we should reassess our positions and risk tolerance.
#交易之声: Your experience deserves to be heard #长鑫科技上市，全球存储竞争添变量
The tripartite pattern of storage competition is taking shape, and the allocation of AI chip orders will affect the sentiment of global risk assets. The listing of Changxin Technology brings China's storage capacity into the pricing system, rewriting the previous narrative dominated by the Korean duopoly, with capital betting on who can lock in more AI demand.
The market may be overestimating the short-term impact of Chinese capacity or underestimating the technological and supply chain barriers of the Korean players. The volatility of the KOSPI index has already reflected this uncertainty.
In judgment, the short-term risk of price wars will suppress the rebound of risk appetite assets like BTC, but as long as AI capital expenditure guidance does not decrease, the semiconductor mid-cycle remains bullish. The verification condition is the capital expenditure data from this week's earnings reports of cloud giants like Microsoft and Meta; if it exceeds expectations, risk assets will recover, otherwise, we need to wait.
The above is only a personal opinion sharing and does not constitute any investment advice. The market changes rapidly, and trading profits and losses are at your own risk. Introduction: Dual-channel capital outflow, trading volume further declines. The market information, projects, and coins, opinions, and judgments mentioned in this article are for reference only and do not constitute any investment advice. Written by 0xWeilan @ eMerge IS In the third week of July 2026 (07.19~07.25), the crypto market fluctuated narrowly amid the dual game of macroeconomic tightening and cross-cycle accumulation, with a slight weekly drop of 0.77%. Financial tightening is driven by Trump's new tariff statement and inflation expectations triggered by the renewed US-Iran conflict. The surge in U.S. Treasury yields and the Fed's contraction in net liquidity have created strong macro headwinds; This tightening signal was smoothly transmitted to the crypto asset market through a risk appetite suppression mechanism, resulting in net outflows of incremental funds and a continued slowdown in spot trading. However, despite tight external liquidity suppressing $BTC BTC's valuation, the BTC on-chain and exchange structure has shown remarkable resilience: spot tokens continue to flow out of exchanges and are absorbed by new investors, the market has not experienced panic sell-offs, and the overall price has remained narrowly fluctuating around $64,296. The "confirmation transmission" of macroeconomic tightening and the internal "chip accumulation" of the crypto market intertwine, together forming a transmission chain of external pressure and internal steadfast accumulation. Macrofinance: This week, global macroeconomic and financial conditions are clearly set for tightening, directly putting pressure on non-interest-bearing risk assets like Bitcoin. Liquidity and policy dimensions show clear marginal tightening. The Federal Reserve's net liquidity contracted by 0.98% in a single week, reflecting central bank funding$ESP 根据你提供的最新截图，我的判断是：目前只能定义为“超跌反弹”，绝对不能确认为“趋势反转”。
虽然价格从低点 0.10257 回升到了 0.10439，且持仓量有所增加，但关键的资金流向数据并不支持多头反攻。这更像是一个诱多陷阱或者是下跌中继的喘息。
以下是详细的证据分析：
1. 最核心的证据：主动买卖量（图2）
- 现象： 请看第二张图的“主动买卖量”。在 11:10 这个时间点，主动卖出量（224.12万）明显大于主动买入量（174.96万）。
- 解读： 这是一个非常危险的信号。
- 价格在涨（从0.102涨到0.104），但主动卖盘却更多。这说明什么？说明现在的上涨主要是由空头平仓（买入平仓）推动的，而不是多头主动进攻（主动买入）推动的。
- 一旦空头平仓结束，如果没有新的多头资金进场接盘，价格会迅速失去支撑再次下跌。真正的反转必须伴随着“主动买入量”的大幅飙升。
2. 多空比依然极度失衡（图1）
- 现象： 第一张图显示，空头账户比例依然高达 63.95%，多头仅占 36.05%。
- 解读： 市场上绝大多数散户还在做空或者刚被洗出去。主力如果现在直接拉升反转，等于是在给这些顽固的空头“送钱”解套。主力通常更喜欢继续震荡或下杀，把这部分空头彻底洗死（爆仓）后，才会开启真正的上涨。
3. 技术面压力重重（图3、图5、图6）
- 5分钟图（图3）： 虽然KDJ金叉向上，J值很高（97），但这只是短线指标修复。价格刚刚触及布林带中轨（0.10664附近）就受阻了，目前还在中轨下方运行。
- 15分钟图（图7）： K线依然处于所有均线（EMA5/10/20）的压制之下。特别是 EMA10（0.10673）和 EMA20（0.10728）构成了沉重的盖顶压力。只要没站稳 0.107，趋势就是向下的。
- 1小时图（图6）： MACD虽然在零轴上方，但红柱正在缩短，快慢线有向下死叉的趋势。这是动能减弱的表现。
4. 资金费率依然是“深坑”（图2下半部分）
- 现象： 资金费率依然在 -0.8% 到 -1.0% 左右的极低位置。
- 解读： 如前所述，极端的负费率意味着市场情绪极度悲观，且空头拥挤。这种状态下，行情往往极其不稳定，容易发生“画门”行情（急拉急跌）。在费率回归正常（接近0）之前，任何上涨都容易被视为“诱多”。
结论与操作建议
是不是反转？
不是。 目前只是下跌过程中的抵抗性反弹。
接下来的剧本预测：
1. 大概率： 价格反弹至 0.106 - 0.107 区间（15分钟EMA10/20压力位）受阻，然后再次掉头向下，测试前低 0.102 甚至更低。
2. 小概率（真反转）： 必须看到 1小时级别 放出一根大阳线，实体站上 0.108，且伴随持仓量大幅增加（新多头进场），才能确认反转。
建议：
- 不要追多： 现在进去做多，盈亏比很差，上方空间很小（0.106就是压力），下方深渊很大。
- 观察空点： 如果你要做空，关注 0.1065 - 0.1075 区域。如果价格冲到这里上不去（出现长上影线），是比较好的顺势做空点位。
- 防守： 如果你手里有多单，建议在 0.106 附近减仓或离场，不要贪恋。 Must-See Historical Data Before FOMC: Fear Index 39 + BTC 65k = A Textbook "Low Volatility Discount"
Bitcoin has risen above $65,000.
Fear and Greed Index: 39.
"State of fear."
Price is up, but sentiment remains fearful. This is not a mistake; this is what actually happened today—a divergence.
Bitcoin at 65k paired with a fear index of 39. The market is full of seasoned veterans watching cautiously, while new retail investors have yet to enter. This combination, in FOMC history, is called a "low volatility discount."
At 2 a.m. Thursday, the Federal Reserve will announce its interest rate decision. Before that, let's get the facts straight.
First, the most painful fact:
A week ago, the market believed the probability of a Fed rate hike in July was only 13%.
Now? CME data shows this probability has surged to 38%. Interest rate swap market pricing is even closer to the high end, with traders estimating about a 37% chance of a hike.
In one week, it has tripled.
Bloomberg surveyed 76 economists—all expect the Fed to keep rates unchanged this week.
The market is betting on a hike; economists are betting it won’t move. Two groups face each other, neither convincing the other.
The greater the divergence, the greater the volatility. The greater the volatility, the greater the opportunity.
Now look at history—data conflicts, and that’s the most interesting part.
On one hand: In the past nine FOMC meetings, Bitcoin sold off within a week after eight of them, with an average seven-day drop close to 11%.
On the other hand: Bitcoin rose after five of the last seven FOMC meetings, with an average gain of 17.6%.
Other data says: Average gains after FOMC are +0.9% in 5 days, +3.9% in 10 days, +11.1% in 20 days.
Eight declines vs. five gains. 11% drop vs. 17.6% rise.
Same FOMC, same Bitcoin, data varies wildly.
What does this mean?
It means the FOMC itself is not the answer; the "state" before and after the FOMC is the answer.
When the market is extremely greedy, the FOMC is an excuse to sell. When the market is extremely fearful, the FOMC is fuel for takeoff.
What is the current state?
Fear. Fear at 39.
Now look at the macro—three variables are simultaneously brewing:
First, oil prices.
Brent crude broke $100 per barrel on July 24 for the first time since May. But then expectations of a US-Iran ceasefire caused oil prices to drop sharply.
Inflation anxiety just started, then was pushed back down. The market is oscillating between "inflation panic" and "inflation relief."
Second, employment.
Last week, initial jobless claims were 187,000, the lowest since 1969. The job market is red hot. This means the Fed has the confidence to hike rates without fearing economic collapse.
Third, the Fed itself.
Chairman Waller announced on July 1 that the Fed will no longer provide forward guidance on rates. Each meeting will be decided on the spot based on data.
He said: "I hope everyone can have a real family-style debate then."
"Family-style debate"—in market terms means: uncertainty maxed out.
A chair who gives no guidance plus a group of officials wanting to hike— the market can only guess.
So the current situation is:
BTC at 65k, above key moving averages
Fear index 39, market in fear
Oil prices falling, easing inflation concerns
Strong employment data
FOMC hike probability jumped from 13% to 38%
Historical data is mixed
Odds are very favorable.
Below 65k, build positions in batches, set stop loss at the previous daily low.
Don’t heavily bet on a one-sided move these two days. Wait for the first 15-minute candle after the "boot drops" early Thursday.
If the FOMC statement mentions "progress on inflation," BTC may gap up to challenge 68k-69k directly.
If there’s a surprise hike—volatility will be large, but bad news in fear often means a golden opportunity.
One last thing:
When others fear at 65k, what are you doing?
When the fear index is 39 but price holds at 65k—this is not fear, this is giving money to rational people.
Before and after the FOMC, the market will teach two types of people lessons:
Those chasing highs
Those cutting losses
But it will never teach the third type—those who calculate in advance and act after the boot drops.
$BTC $BZ $CL
#美联储周四凌晨公布利率决议 #长鑫科技上市，全球存储竞争添变量
Is Changxin Technology at a historic peak?
Changxin surged to ¥50, with a market cap surpassing ¥3.3 trillion, and a dynamic PE exceeding 30x—while Micron is only at 6x, and SK Hynix below 5x. These valuations are on completely different levels.
What does Changxin Technology’s ¥50 price level represent?
At a ¥50 share price and approximately 66.8 billion shares outstanding, the market cap is about ¥3.34 trillion (around $500 billion).
Net profit attributable to the parent company is expected to be ¥50-57 billion in the first half of 2026, linearly extrapolated to about ¥100-114 billion for the full year. The dynamic PE is roughly 29-33x.
This figure is completely different from the 5.8x PE based on the 2026 expected profit at the IPO price of ¥8.66—the stock price has increased fivefold, and the valuation logic has fundamentally changed.
What are the levels for Micron and SK Hynix?
Micron: Market cap about $104 billion, Forward P/E only 5.94x. Q3 net profit for fiscal 2026 was $47.27 billion, a year-over-year increase of 785%.
SK Hynix: U.S. ADR market cap about $87.8 billion, Forward P/E only 4.67x. Korean stock market cap about ¥5.66 trillion, with a 2026 expected PE of about 5.64x.
The comparison is clear:
Changxin’s dynamic PE is about 30x, Micron about 6x, SK Hynix about 5x—Changxin is 5-6 times more expensive than the two giants.
Nomura Securities’ target price is ¥116, based on 2028 EPS of ¥5.8 and a 20x PE. This valuation is already twice that of Micron, justified by China market valuation premiums and market share growth. Northeast Securities’ valuation range is ¥3.2 trillion to ¥5.7 trillion—¥50 is just at the lower end of this range, with room to rise, but the premise is that profit growth must continue to be realized.
Where is the problem?
Changxin’s global DRAM market share is about 7.67%, ranking fourth. Samsung holds 38%, SK Hynix 29%, Micron 22%. With a fraction of the three giants’ market share, it enjoys a valuation 5 times higher than theirs—this is the A-share new stock sentiment premium.
Storage is a highly cyclical industry; DRAM prices often double one year and fall back to the original level the next. Paying ¥50 means buying "peak cycle profits × 30x PE" pricing, and once prices turn down, this valuation will look very unattractive.
$SKHY #长鑫科技上市，全球存储竞争添变量
Changxin's IPO locks the chain and runs to the top of the A-share market
A Chinese memory chip company, during the four years of the strictest US chip controls, has gone from zero to the STAR Market, and then to the number one market cap in A-shares.
3.31 trillion.
Not a dream. This is the real trading data after today's opening.
On its first day of listing, Changxin Technology opened high, held steady, and its market cap crushed all other A-share players. This figure, placed in the global semiconductor landscape, is enough to make Samsung, SK Hynix, and Micron reopen their map apps to check out this company's origins.
But what’s truly intriguing is the puzzle on the timeline—
A week ago, Anthropic just split orders between Samsung and SK Hynix, Nvidia threw $1 billion at Naver, and a 2-gigawatt computing cluster was built just like that. The Korean giants added another shovel of moat to their AI orders, locking the global memory narrative into the "Korea-US alliance."
A week later, Changxin lists on the A-share market with a market cap of 3.31 trillion.
From now on, the global memory pricing system has an "uncontrollable" variable.
It’s not that the technology has caught up—the gap is still wide. It’s that the capital market has already taken a stance: you block yours, I’ll run mine.
On the day Changxin listed, the Korean KOSPI index rose over 1.7% in early trading before turning down. Of course, the single-day movement could be due to exchange rates, foreign capital flows, or other macro factors, but the timing itself is worth remembering—the market saw on the same trading day both AI order flows heading to Korea and Chinese production capacity landing at the top of the A-share market.
So where exactly does Changxin stand in this three-party landscape?
In the short term, it’s not a competitor in high-end capacity—Samsung and SK Hynix’s HBM capacity is locked by top AI customers through 2027, a gap Chinese capacity cannot fill quickly.
It is a disruptor of price signals.
DRAM is a highly cyclical market; any marginal change in new capacity is quickly absorbed by contract prices. Changxin’s expansion pace won’t immediately change the supply-demand structure of high-end AI memory but will continuously squeeze the pricing power of standard DRAM. The capital market’s valuation model for memory stocks is shifting from a "duopoly game" to a "three-party pricing—where one party is currently an expected disruptor rather than a real competitor." But the expectation of disruption itself is price.
What does 3.31 trillion mean?
It’s not a declaration that Chinese memory technology has caught up—the gap is still wide. It’s a story of an industry sanctioned for four years, without EUV lithography machines, without TSMC foundry, without US equipment support, running a story that the capital market is willing to value at 3.31 trillion.
Samsung watched silently, Micron held emergency meetings overnight, and the US government will probably update its export control list again.
For the crypto market, the signals on this chain transmit in two directions:
First, semiconductor market sentiment anchors global risk appetite. If memory prices weaken due to new capacity expectations, tech stock valuation ceilings will be pushed down, liquidity risk premiums will narrow simultaneously, and crypto, as a high-beta asset, will face liquidity outflows.
Second, Chinese tech asset repricing drives offshore capital to reassess "China chain" crypto assets—the supply-demand structure of stablecoins in Asia-Pacific, financing costs in the mining machine industry chain, and Hong Kong’s compliance channel’s capital absorption capacity will all enter a revaluation window.
Oil prices await agreements, bills await clause deletions.
But 3.31 trillion waits for nothing. It’s already slammed on the table.
The period at the end of this old pattern is drawn bigger than anyone expected.
The above does not constitute investment advice. 3.31 trillion is the valuation given by the A-share market; Changxin’s technological catch-up is a story on another time scale. Manage your positions well; don’t get dizzy from the market cap.Xin Technology's listing adds a significant new variable to the global storage competition!
Today, ChangXin Technology (688825.SH) opened on the STAR Market. The issue price was ¥8.66, the opening price was ¥49.5, an increase of 471.59%. The corresponding total market value instantly surged to ¥3.31 trillion, briefly surpassing Industrial and Commercial Bank of China to become the highest market cap company listed on the A-share market. The fundraising scale (approximately ¥57.9 billion before full allotment, about ¥66.6 billion after full exercise) set a new record for the STAR Market, also exceeding SMIC's ¥53.2 billion in 2020.
This is not an ordinary IPO frenzy. It is the first DRAM manufacturer in mainland China and the fourth largest globally, officially securing long-term ammunition from the public capital market.
Why is this time different?
Over the past decade, the global DRAM market has been almost monopolized by Samsung, SK Hynix, and Micron, with a combined share consistently over 90%. ChangXin started in 2016, taking a "leapfrog" approach: directly launching 8Gb DDR4, then rapidly advancing to full-series mass production of DDR5, LPDDR5/5X. By Q4 2025, its global market share by sales is expected to reach 7.67%, firmly ranking fourth.
More importantly, there is a performance inflection point. In 2025, it will turn profitable, achieving a net profit attributable to the parent company of about ¥18.7 billion. In Q1 2026, revenue is expected to be ¥50.8 billion, with net profit attributable to the parent company around ¥24.8 billion. The company forecasts revenue of ¥110–120 billion and net profit attributable to the parent company of ¥50–57 billion for the first half of the year. This means it is likely to fully offset cumulative losses since its establishment in one go.
The AI computing power boom driving server and HBM demand, combined with industry supply contraction, has pushed DRAM prices into a super cycle. ChangXin happens to be at the node of simultaneous volume and price growth.
What is the real impact on the global landscape?
First, the capital structure has changed.
Previously, ChangXin mainly relied on funding from the National Integrated Circuit Industry Investment Fund, local state-owned capital, and industrial capital. Now it has secured nearly ¥60 billion in cash at once, clearly allocated to upgrading 12-inch production lines, advanced process R&D, and HBM development. The long-term goal is to increase monthly capacity from about 300,000 wafers currently to over 600,000. Funding is no longer a bottleneck, and expansion pace will significantly accelerate.
Second, pricing power is beginning to loosen.
Recent market reports indicate that some of ChangXin's 64GB DDR5 server modules are priced higher than Samsung's similar products. Under tight supply conditions, Chinese cloud providers and large companies are willing to accept higher prices to ensure supply chain security. This means ChangXin is no longer just a "low-price substitute" but has started to gain some bargaining power.
Third, customer lock-in is stronger.
Top clients like Alibaba, ByteDance, and Tencent have entered its supply chain. The huge domestic demand from AI infrastructure and consumer electronics provides it with a relatively secure base. The overseas big three giants will find it much harder than before to squeeze space through price wars.
Fourth, HBM is the next battlefield.
ChangXin has publicly planned the mass production schedule for HBM3/HBM3E, aiming to narrow the technology gap with Samsung and Hynix to 2–3 years. Although yield rates and EUV equipment remain clear shortcomings, the speed of catching up will significantly improve with capital support.
A variable, not a disruption!
We need to clearly see the boundaries!
Samsung, SK Hynix, and Micron still hold huge advantages in advanced processes, HBM yields, global customer relationships, and EUV equipment. ChangXin's current core products are still mainly mainstream DDR and LPDDR, with limited shares in high-end servers and AI accelerator cards. Geopolitics and export controls remain a Damocles sword hanging overhead.
The storage industry itself is highly cyclical. Once prices fall from the peak, high market value and high expectations will quickly turn into pressure. The first five trading days after listing have no price limits, combined with a free float of only about 6.7%, short-term volatility will be very intense.
But no matter what, the global storage competition board has gained a truly substantial new piece. It used to be "three oligarchs + a few fringe players," now it is "a fourth pole that the three oligarchs must seriously contend with." Mainland China's storage localization has officially moved from "whether it can be made" to "whether it can sustain capacity expansion and participate in global pricing."
ChangXin Technology's listing is not the climax of the story but the official starting gun for a new round of capital and capacity competition. The real test ahead is whether it can convert today's market value and funds into visible market share and technological progress two years from now.
#长鑫科技上市，全球存储竞争添变量 Everyone is saying the knockoff season is here, but as I stared at the market, something feels off.
Have you noticed that the recent sharp price hikes are just a few familiar faces coming and going?
Many people see a few big bullish candlesticks and immediately get a sense of FOMO, feeling like gold everywhere. But looking at it calmly, this is more like a precise "fund beauty pageant" rather than a "knockoff carnival" 🔥 for inclusive benefits.
The capital preferences I've observed recently are actually very concentrated, and it's not at all the kind of bull market atmosphere where everyone shares the benefits equally. Money hasn't flooded the entire market; instead, it shines like a spotlight, shining on a few stages.
For example, the current liquidity concentration is in several directions:
- $BTC Still the anchor of the entire pond; when it is stable, the water level is stable.
- $ETH is a thermometer used by institutions to test water temperature.
- $SOL is the "high-magnification scope" played by the most pro-risk capital.
- There are also stocks like $HYPE, whose price movements directly reflect how much risk the market is willing to take.
- $DOGE is basically a barometer of retail investor sentiment; when it moves, it means the "retail investors" are starting to enter the market.
Those that surged, such as $JELLYJELLY, $OPG, and $SLX, all have clear narratives or capital driving them behind them. But on the other hand, $BEAT, $TRUMP, $RAVE, $VIRTUAL are still struggling at the bottom, with insufficient chip turnover, indicating that no one is willing to take them.
A truly healthy cottage season should be when the water level rises and all the small boats can float, not just a few speedboats surfing 🏄 ♀️. Now, it's more like smart money "picking and eating," eating the fattest parts first, rather than being picky when hungry.
So, my judgment is: now is not the time to go long across the board, but rather a 'divergence' phase. You can follow smart money for short-term trades, but don't be blinded by false prosperity and chase those unnoticed cold tickets.
Patience is more important than gold. Once liquidity truly spreads, it's not too late to consider expanding your positions.
(Disclaimer: The above is purely my personal market observation rambling. The market is very mischievous, so please take responsibility 💫 for your positions.)
$BTC $ETH $SOL #山寨季 #资金偏好 #市场观察Brothers, today the most ruthless "short hunter" on the chain has appeared. SKHX (SK Hynix tokenized stock) opened this morning down 6.3%, hitting a low of $1,171.8. A whale address starting with 0xebe established a base position on June 24 with only $22,500 in margin, continuously increasing its position. Now, it holds 33,700 10x leveraged short positions, with a position value as high as $39.9 million. SKHX's drop today directly left it with a paper unrealized profit of $4.56 million, with a return rate of 102.65%. But the bigger point is that this is not a one-time gamble direction, but a continuously operating "ATM." Income Breakdown: How Did You Make 8.83 Million? Combining unrealized gains, historical realized profits, and funding expenses, the cumulative gross income for this round has reached USD 8.8282 million. The structure is as follows: Section One: Book unrealized profit of $4.56 million, average position opening price $1,317.1, current price $1,181.9, with price differences contributing the majority. Second: Already pocketed profits of $2.9972 million. The realized profits previously closed out in batches have already been pocketed. Third: Funding fee income of $1.2672 million. The funding fees accumulated during the holding period alone amount to 28.5% of the theoretical principal of the current remaining position. Even more impressive, SKHX's current hourly funding rate is about 0.0215%, which, based on current positions, can still earn roughly $8,550 per hour. That's $200,000 in passive income per day. Calculated with 10x leverage, reasonThis week, the crypto market is entering the most critical macro node of the third quarter—the Federal Reserve's July FOMC meeting (to be held July 28-29). The interest rate decision, the latest dot plot, and the Walsh press conference will directly set the direction of monetary policy for the second half of the year, becoming the key variables influencing the trends of BTC, ETH, and other coins. Combined with the temporary easing of Middle East geopolitical tensions and the marginal decline in oil inflation expectations, the bullish and bearish contest is entering a white-hot phase. This article comprehensively breaks down this week's core market logic from three dimensions—international finance, geopolitical situations, and capital chains—combined with benchmark judgments for this meeting, and presents key trading ranges and trading strategies for mainstream currencies. I. Benchmark Results Assessment for This Fed Meeting Based on the latest economic data, market pricing, and mainstream institutional outlooks, the core conclusion of this meeting can be summarized as "unchanged interest rates, but hawkish rhetoric," broken down as follows: 1. Interest rate decision: Likely to keep rates unchanged, rate hikes considered tail risk According to CME FedWatch data on July 27, the probability that the Fed will keep its benchmark rate unchanged in the 3.50%-3.75% range in July is 63.7%, and the probability of a 25 basis point hike is 36.3%. In the baseline scenario, the Fed will choose to hold steady and maintain rates for the fifth consecutive meeting. Core support comes from marginal improvement in June inflation data: US June CPI year-on-year fell to 3.5%, up from 4.2% in MayOil tankers are exploding, bond markets are collapsing, and big promises are playing dead—this isn't tug-of-war, it's just that the bulls haven't died out
That loud explosion in the Strait of Hormuz could have blown the whole arena out three years ago, but now? Hey, you can't even fake a decent rebound. Iran says "stop retaliating," Trump says, "I canceled two strikes"—what about you two acting out "Mr. & Mrs. Smith" here? The financial markets see clearly: the more polite you are, the less harsh inflation becomes.
Oil prices? The price rises first as a sign of respect, but they back down quickly. As of this morning (July 27) during Asian trading, Brent crude surged to $86.5 before retreating to $85.8, with the candlestick forming a long overshadow. Why? Because the market suddenly remembered: the Middle East may be hit, shipping may be detoured, but the global manufacturing PMI is still hovering below the boom-decline line. If demand doesn't keep up, geopolitical premium is just a 'one-day trip' scenario. Oil prices didn't hit new highs, but stagflation has once again trended on Twitter.
The real butcher is in the bond market. When last Friday's Michigan inflation forecast data came out, the trading desk cursed at me—3.6%? What happened to the promised "temporary"? The yield on the 10-year U.S. Treasury note reached 4.86% this morning, and the 30-year Treasury has officially held above 5%. What is this called? This is called the interest rate welded shut down the door for rate cuts. Now, the interest rate futures market has slashed the full-year 2026 rate cut forecast down to just one rate, with some even betting on the "next rate hike," a cliché from three years ago. The US dollar index soared to 105.9, and non-US currencies collectively flattened.
Then you look at the big pancake—$65,880, like a salted fish nailed to the wall. Volatility has shrunk even more disgustingly than recent A-shares, with narrow fluctuations around $200, so much so that even quantitative traders can't be bothered to run strategies. This position is awkward: above is the 68,200 "Trump Option" pile of "Trump Options," below is the 63,500 Saylor cost zone supporting the bottom. Bulls dare not charge, bears dare not hold back, all waiting for others to reveal their trump cards first. On-chain data is more authentic: over the weekend, exchanges saw a net inflow of 12,000 BTC, nearly half of which came from an address linked to a Trump family project. Coincidentally, as soon as these 13.8 million "TRUMP" tokens were transferred to CEX, the project team immediately issued a statement saying "not for sale"—well, I believe it, do you believe it? Which old crypto insider hasn't memorized this kind of official rhetoric ten times?
Even worse was Saylor, that old fox. He posted a return model tweet late Saturday night, accompanied by an emoji saying "See you next week," directly lifting the bulls' fantasy like a kite. If you were really something, just post "We bought 10,000 of them" at midnight like before—why bother with riddles? In my opinion, this is most likely a rhetoric to boost holdings and has nothing to do with fundamentals. But if it really drops to 63,500, this old man will definitely take it—his cost line is there, and he is the biggest "living Lei Feng" in that position.
The opening race across three markets on Monday has already shown its flavor:
· Oil prices opened high and closed low, indicating a marginal reduction in geopolitical premium;
· The continued surge in U.S. Treasury yields indicates that the macro pricing power is entirely in the hands of inflation;
· Bitcoin's shrinking volume and sideways movement indicate it is waiting for risk linkages after the US stock market opens, rather than a standalone narrative.
The current situation is extremely unfriendly to bulls: rising oil prices → inflation expectations→ US Treasuries falling → US dollars strong→ BTC being pushed down. This is a perfect transmission chain from crude oil to Bitcoin, with all four mountains missing and a fifth one called "geopolitical uncertainty." For Big Pie to break through, it can only rely on one scenario—after the US market opens, tech stocks will soar along with risk sentiment due to "AI earnings beating expectations" that have shattered interest rate suppression. Otherwise, the 67,200 level would be the iron top this week.
To wrap it bluntly: don't care how Iran and Trump "play errenzhuan" (errenzhuan), and don't just focus on Saylor's tweet to fantasize. At today's close, watch three things: whether oil prices close above or below 85, whether the US Treasury yield at 4.86% can hold, and whether BTC can break above 66,500 on an hourly level with increased volume. If two out of the three go against the grain, this week will be a bearish carnival.
The market is voting with its feet, and the outcome is likely that all the "good news" is an illusion, and only "tightening liquidity" is the real deal. On Monday, watch your hands—there's no shame in watching the show.Samsung's profit surged 19-fold, then its stock price plummeted—how much impact will the STAR 50 Tech Innovation 50 face?
On July 7, Samsung Electronics released a shocking financial report showing profits soaring 19 times year-on-year, but its stock price plummeted by more than 10%. And that's not all—within a month, Samsung Electronics has pulled back about 36% from its June peak, while SK Hynix, another Korean storage giant, has been even worse, falling about 44% from its peak.
This "good news exhausted" stampede quickly spread from South Korea to the world, plunging the Philadelphia Semiconductor Index into a technical bear market and dragging the STAR 50 Index down.
How much of the overseas semiconductor plunge has a transmission effect on the STAR 50? The answer cannot be summed up simply by the phrase "following the decline."
The root of this plunge is not fundamentals, but the trading structure.
In the first half of the year, Samsung Electronics and SK Hynix both more than doubled their stock prices, with about 70% of their gains driven by expectations of HBM price hikes, which has long exhausted the potential for performance growth over the next 2-3 years. In May, South Korean regulators launched 16 ETFs with 2x leverage tracking these two giants, with retail investors generally trading with 5x financing leverage.
When Meta announced in early July the sale of idle computing power, combined with rumors of "NVIDIA cutting HBM procurement," market concerns about AI storage demand peaking instantly erupted, causing a rapid stock price drop and triggering large-scale forced liquidations, creating a negative feedback cycle of "the lower the price, the more selling."
This round of plunge is essentially a structural collapse of leveraged funds in South Korea, rather than a disproved logic of demand in the storage industry.
Looking at historical data, there is indeed a stable linkage between the STAR 50 and overseas semiconductors.
In this rally, short-term volatility is slightly higher than the historical average. The Philadelphia Semiconductor Index saw a maximum drawdown of about 22%, the South Korean semiconductor sector about 27.5%, and the STAR 50 Index also saw a maximum drawdown of nearly 27%, showing relatively high short-term elasticity.
Conduction effects are not evenly distributed. From July 1 to 22, the storage, PCB, and optical module sub-sectors related to the STAR 50 fell by 25%-35%, becoming the hardest-hit areas. Among them, the Wind Circuit Board Index fell 34.71%, the Optical Module Index dropped 30.46%, and the Memory Index dropped 29.83%.
The reason is straightforward: these sectors directly align with the business logic of overseas storage leaders. When Samsung and SK Hynix requested substrate price cuts in the second half of the year, panic quickly surged. The PCB sector was also plagued by rumors that "some leading companies lost major clients due to quality issues." Although later clarified, the damage was already done.
Meanwhile, the semiconductor equipment sector bucked the trend and rallied on July 24, with the IDC index falling only 3.76% over the same period, but rebounded after July 20. Behind this divergence lies a logical difference: the equipment segment benefits from certain orders for domestic substitution, while IDC directly targets domestic computing power demand, with a low correlation with short-term fluctuations in overseas storage prices.
The capital market tug-of-war further amplifies the short-term volatility of the STAR 50.
From July 1 to 23, among the STAR 50 constituents, storage/AI chip stocks such as Cambricon and Demingli saw net margin sales exceeding 5 billion yuan, while semiconductor and hardware equipment stocks occupied all top ten spots in A-share financing net sales during the same period. Leveraged funds concentrated in closing positions have become the core factor in short-term amplification of declines.
But on the other hand, long-term funds are positioning against the trend. During this period, the STAR 50 ETF Ping An saw net capital inflows for 11 consecutive days, attracting a total of 982 million yuan. This tug-of-war, where "short-term speculators panic and long-term funds enter at dips," shows that professional institutions' judgment on the medium- to long-term value of the STAR 50 has not wavered.
Mainstream institutions unanimously judged the nature of this transmission as short-term sentiment shocks and deterioration of non-fundamentals.
Yang Delong from Qianhai Kaiyuan Fund bluntly stated that this round of adjustment is the result of multiple factors, including the sharp decline of overseas tech giants and the highly crowded internal trading structure of A-shares. The main reaction is profit-taking and capital flight, not the end of the 'tech bull' market.
Although short-term emotional shocks are fading, two risk points still require vigilance.
Second, although the rumor of "NVIDIA cutting HBM procurement volumes" has not been officially confirmed, if solid evidence emerges later, it will further increase the adjustment in the global memory sector and increase transmission pressure on the STAR 50.
Piecing together all perspectives, the conclusion is clear: the transmission effect of this round of overseas semiconductor corrections on the STAR 50 is short-term due to crowded trading structures and concentrated liquidation of leveraged funds, leading to a phased overselling. However, the core shock is mainly purely sentiment-driven, with no substantial changes in the fundamentals of the industry chain.
On July 27, after the two Korean storage giants announced large long-term orders, their stock prices rebounded rapidly, confirming the characteristic of short-term sentiment-driven sentiment.
In the medium to long term, the transmission effect of the STAR 50 is limited—the logic of domestic substitution in the domestic storage industry chain and the structural growth in AI computing power demand will not change due to the trampling of Korean leveraged funds.
As for the tail risks affected by rumors of HBM procurement volumes, they are more like a "second boot" hanging overhead—staying alert before landing is necessary, but there's no need to tear down an entire building over an uncertain bomb. #长鑫科技上市, global storage competition adds variables $SAMSUNG The Bitcoin $BTC miner winter is spreading!!
Total network hash rate dropped to 908 EH/s, setting a new low for 2026.
$BTC now mining a single Bitcoin with hash power costs $78,000 >$BTC the spot price is around $65,000, meaning miners lose over $10,000 per Bitcoin mined!!
Results-oriented:
Forced shutdown and marginal clearing: High electricity prices and inefficient old models (such as some S19 series) have completely penetrated shutdown prices, making miners' "queue shutdowns" a rational choice for capital preservation. The reduction in computing power means the market is clearing out marginal high-cost capacity to re-find supply-demand balance;
Lagging release of selling pressure: To maintain fiat operating expenses and repay equipment debt, unhedged miners have had to accelerate the sale of inventory, which creates short-term selling pressure on spot prices. $BTC The Fed decides Wednesday, and for once the debate isn't about a cut.
CME FedWatch puts a hold at roughly 62%, with the other 38% actually pricing in a possible hike. Rates have sat at 3.5% to 3.75% since June, so with no cut on the table, this is a tone meeting, not a number meeting.
The macro backdrop walking in:
· US-Iran ceasefire hopes knocked oil sharply lower, cooling the inflation scare
· Jobless claims came in at 187K, better than expected, so the labor market still looks solid
And it's a loaded 48 hours, because the signals stack fast:
· The statement drops 2:00 PM ET, but the real read is Warsh's press conference at 2:30, and he keeps telling markets to watch the data, not the forward guidance
· GDP and PCE land right behind the decision, compressing four macro signals into two days
· Microsoft, Meta and Amazon report this week, with AI capex guidance in focus
· Crypto-linked earnings land just hours after the Fed
· July BTC and ETH options expire right after that, adding a layer of derivatives clearing to the mix
Crypto is walking in cautious. Bitcoin is holding near $65,000 after a seven-day spot ETF inflow streak worth nearly $1B snapped on July 24, though the week still closed net positive. Sentiment stays fragile, with the Fear & Greed Index ticking up to 30, a monthly high but still firmly in Fear territory.
Put it together and you have plenty of fuel for a sharp move in either direction once the tone lands. The number is basically priced. The words are not.
Are you positioning ahead of the decision, or waiting until the dust settles before making a move?
#FOMCRateWatch Think about this question: why in this wave of AI investment have tech giants gradually shifted from initially investing some cash flow to now issuing debt financing...
Is it possible that the US packaged "AI" as a dumpling just to protect the "US debt" vinegar?
Given the current US debt and credit status, it's not just hard for global capital to mindlessly keep buying US debt, but even the major holding countries find it difficult to sell off quickly...
Since you won't buy national debt, then buy corporate debt called AI!
Anyway, whether investing in AI tech companies or US debt, it's almost the same, as long as the money flows into the USA, right?
So now when I see these giants still willing to push cash flow into the negative to increase AI investment, it unconsciously gives me a sense of a "political mission"...
To some extent, America's tech giant companies are like capitalist state-owned enterprises...Oil prices have crashed, BTC returns to 65k: The market has already "voted" ahead of Thursday's FOMC
Brothers and sisters, first look at three things:
First — This morning, Brent crude plummeted 5%, briefly falling below $90 during the session. WTI dropped to around $84.
Why? The US and Iran paused mutual military strikes over the weekend. After nearly five months of conflict, oil prices fell from above $100.
Second — Last week, US initial jobless claims dropped to 187,000.
The lowest since 1969.
Third — Bitcoin is above $65,000. The fear and greed index is 30, still in the "fear" zone.
Put these three things together, what do you make of it?
Most people are focused on the FOMC interest rate decision early Thursday morning, watching whether there will be a rate hike.
CME data shows a 63.7% probability of holding rates steady in July, and a 36.3% chance of a 25 basis point hike. Natixis, Nomura, and Morgan Stanley all unanimously expect no change.
But that's not the main point.
The key is this script:
What was the market most afraid of a month ago? Oil prices breaking $100, a resurgence of secondary inflation, and the Fed being forced to raise rates.
What happened? One week before the FOMC meeting, the US and Iran declared a ceasefire. This "time bomb" of oil prices was defused early.
Inflation expectations cooled → US Treasury yields' downward pressure eased → the tightening grip on risk assets loosened.
The market has already voted ahead.
BTC rebounded from last week's low back to 65,000, leaving many who missed out. The fear index is still at 30, which means what? A large amount of capital is still watching, waiting for the FOMC "boot to drop" before rushing in.
By the time you rush in, the smart money is already counting profits.
Now about the initial jobless claims at 187,000.
The lowest since 1969 — what does that mean? The economy is not at risk of recession.
The Fed does not need to cut rates early to save the economy. But it also means that "no landing" is becoming a reality. What the market fears most now is not a rate hike, but the continuation of "no rate cuts."
As long as Powell says "inflation is slowing," 65k is the iron bottom.
There are two variables exploding simultaneously this week:
Microsoft, Meta, and Amazon earnings reports will be released Wednesday and Thursday.
These three companies' combined capital expenditures for 2026 — Microsoft $190 billion, Meta up to $145 billion, Amazon $200 billion. All are "money-burning machines" for AI infrastructure.
Good earnings will boost risk sentiment; poor earnings will drive funds to safe-haven assets — is BTC a beneficiary or a victim? You decide.
Finally, a painful note:
FTX's fifth round of $900 million compensation starts July 31. Some creditors will receive 120% compensation.
What will these people do with the money?
Do you think they will save it in banks or buy BTC?
Don't wait for the FOMC to land before chasing.
Oil prices have already fallen, employment data is out, and the market is already pricing in the "cooling inflation" factor.
On the day of the meeting, it's always about good news being realized or bad news fully priced in.
The real game is in the "expectation gap."
If Wash says something soft, 65,000 becomes 68,000.
If Wash says something hard, 65,000 becomes 62,000.
But at this position, where do the odds stand? You do the math yourself.
$BTC $ETH $CL
#美联储周四凌晨公布利率决议 #长鑫科技上市，全球存储竞争添变量
Today, the A-share market changed dramatically.
Changxin Technology officially debuted on the STAR Market today, opening directly at 49.5 yuan, soaring 471.59% from the issue price of 8.66 yuan. Its market value reached 3.31 trillion yuan, surpassing Industrial and Commercial Bank of China to become the new leader of the A-share market. One lot earned 20,000 yuan. It raised 66.6 billion yuan, the largest in STAR Market history and the third largest IPO in A-share history.
A company making memory chips became the highest-valued company in China in just one day.
What is Changxin Technology? The only Chinese company to achieve mass production of DRAM. Its global DRAM market share rose from 3% to 8%, ranking fourth worldwide. Revenue in the first half of the year was between 110 billion and 120 billion yuan, with net profit between 50 billion and 57 billion yuan, a year-on-year surge of up to 2544%.
Even more impressive is the price. Reuters reported that Changxin's 64GB DDR5 server modules are now priced higher than Samsung's. Chinese chips are not only made but sold at a premium over Samsung.
What does this mean for the global memory landscape?
Previously, the DRAM market was dominated by three companies: Samsung, SK Hynix, and Micron, controlling over 90%. Now Changxin has entered, securing 8% market share and firmly taking the fourth spot.
Samsung 39%, SK Hynix 29%, Micron 22%, Changxin 8%. The big three have become the big four, just one seat apart. Some predict that by the end of 2026, Changxin's capacity will approach Micron's.
But Changxin has weaknesses. The high-end HBM market remains with Samsung and SK Hynix, and Changxin is about 2 to 3 years behind in stacking technology and high-end product iteration.
What impact does Changxin's listing have on the crypto market? Two directions.
In the short term, a massive IPO will drain liquidity. Raising 66.6 billion yuan, the third largest IPO in A-share history. Funds flow from various markets into A-shares, putting short-term pressure on crypto market liquidity. Some analyses suggest that new AI listings may gradually absorb liquidity, tightening marginal funds flowing into digital assets.
But from another perspective, overseas investors who cannot buy STAR Market shares turn to trade Changxin's "shadow stocks" in crypto derivatives markets. What does this indicate? International capital is extremely optimistic about "China's domestic substitution in memory chips," and the crypto market is becoming a global capital transit hub for allocating funds into China's hard tech.
Bitcoin's role as a high-beta risk asset is strengthening. With stable macro sentiment and rising risk appetite, crypto benefits accordingly. Changxin's listing drains liquidity but ignites confidence in Chinese tech assets—this sentiment spillover allows the crypto market to share in the gains.
This explains most of the short-term stretch. So, did you benefit? Brothers
$BTC $ETH $DOGE #SemisEarningsTest 🧠 Chips are bouncing—but the positioning tells a deeper story.
Semiconductor names are showing strength:
🟢 Ambarella +6.24%
🟢 Teradyne +3.54%
🟢 Marvell +3.32%
Meanwhile, the broader market closed slightly lower.
Bulls and bears are both making their moves as earnings season begins. 👀
But market positioning reveals another layer:
📉 S&P 500 short interest has climbed to 3.79% of float
📉 Russell 3000 short interest reached 6.3%
Both are at record highs.
Hedge funds have also been reducing US tech exposure, with net selling in 6 of the past 8 weeks and roughly a 10% reduction—the largest pullback in more than a decade.
Then there’s the debt picture many investors aren’t watching.
Reports indicate that off-balance-sheet debt among five major tech companies has expanded significantly, reaching around $1.65T, surpassing their reported on-book debt. Meta’s exposure alone is estimated around $420B, while major financing efforts are underway to support AI data center expansion.
The setup heading into Big Tech earnings:
⚡ Chips are recovering
📊 Short positioning is extreme
🏦 AI infrastructure spending is accelerating—but so are financial commitments
This earnings season could answer some major questions:
Will strong results trigger a short squeeze?
Or does the market turn it into a classic “buy the rumor, sell the news” event?
What matters more for valuations right now—the AI growth story or the rising debt burden? 👇
#CXMTMemoryIPO #FOMCRateWatch Chun Wang (@satofishi) has transferred around $6.73 million in crypto to Binance, a move that's already catching traders' attention. Deposit breakdown: 🐋 3,490 $ETH (~$6.70M) ₿ 3.51 $WBTC (~$228.35K) The latest transfer hit Binance just minutes ago. Large exchange deposits don't automatically mean selling, but they often signal that a major holder is preparing to increase liquidity or reposition their portfolio. For now, it's something worth keeping on your radar—not because it's guaranteed to Today, as soon as I opened the market software, I saw this news: $STORJ plunged from 1.2 to 0.38, and a needle made people's scalps tingle. The star decentralized storage project that once wrestled with $FIL is now applying for a Chapter 11. Bankruptcy Protection: To be honest, I checked my wallet right away. Luckily, I cleared out in Q3 last year. At that time, I felt on-chain activity was dropping, and the storage sector was fiercely competitive. Projects that didn't make money would eventually collapse. Don't panic yet. Interestingly, the announcement said it was "exploring a court-recognized equity mechanism for token holders." Translated plainly—those holding $STORJ might be able to exchange for company shares, but no one knows how deep the trap is 11 is debt restructuring, not liquidation, which shows the team is still struggling. The network keeps running, but who knows how much token value is left? Several friends I know who heavily hold $STORJ all posted tearful emojis in the group today. One said his cost was at 0.8, more than halved, and he was preparing to lie flat — that "equity fairy tale" was realized. Honestly, decentralized storage has been burning money for five years, and this year $STORJ is the first to collapse. I can't imagine who will be next. Does anyone else feel the same way? The comments section #特朗普将决定是否扩大对伊战事 #伦理条款获特朗普认可, with #芯片股反弹 of divergences still lingering and short positions in US stocks reaching a historic high Microsoft, Meta, and Amazon's earnings reports this week are far from ordinary
They are answering a very harsh question: Is AI a profit engine or a money-grabbing machine?
Google and Tesla have already scared the market, and investors are no longer as romantic about AI spending as before. In the past, when people said to build more data centers and buy more GPUs, people would automatically imagine future growth; Now the market is asking whether cloud revenue is sufficient, whether ads can be monetized, and whether users are truly willing to pay for AI
I think the highlight of this round of earnings isn't the EPS decimal point, but the capital expenditure guidance
Whoever can prove that the money burned will be returned, they can still tell AI narratives. Who only talks about long-term value? Short-term stock prices are dragged down by reality
The story remains, but the market is starting to demand invoices
#财报观察员: Can Microsoft, Meta, and Amazon stabilize the AI narrative? The Federal Reserve early Thursday morning may not necessarily raise interest rates, but the market will still be nervous.
The current trouble lies in oil prices, employment, AI capital expenditure, and fiscal issuance, all adding pressure to interest rates. In the past, everyone only focused on whether rates would be cut or not; now, the question is whether the Federal Reserve can still provide the market with a comfortable space for imagination. As long as it continues to emphasize inflation risks and data dependency, highly volatile assets like BTC and ETH will find it difficult to completely shake off the shadow of interest rates.
I am more concerned about the post-meeting wording than the single outcome.
If the Federal Reserve makes the market feel that high interest rates will last for a long time, risk assets will first contract in valuation; if it is willing to give some easing space, then funds will have the courage to seek elasticity again.
What the crypto market fears most is not bad news, but "not knowing when money will become cheap."
#美联储周四凌晨公布利率决议 Neither BitMEX nor Bitmart is collapsing; it's just that non-top-tier offshore exchanges can't make money or see any hope, so they voluntarily shut down.
Looking at the big picture, no one is speculating on crypto, and the overall market is sharply contracting.
From a regional perspective: the three major markets—US, South Korea, and Europe—are all compliant, leaving less and less offshore space; Russia and Iran risk losing users if they continue; the Chinese-speaking market is extremely crowded and dominated by top-tier players; other smaller markets are unprofitable.
It is expected that all except the top-tier will have to close #长鑫科技上市，全球存储竞争添变量
ChangXin Memory Technologies went public on the STAR Market today. Has the global memory landscape truly been rewritten? My judgment: yes, but only halfway.
688825, issue price 8.66, opened soaring to 49.5, market cap surged to 3.3 trillion, the largest IPO in STAR Market history.
Globally, DRAM was originally dominated by three players holding over 90%: $SKHYNIX 33.96%, Samsung 34.48%, $MU Micron 23.41%. According to 25Q4 sales, ChangXin takes 7.67%, ranking fourth, with 17nm DDR5/LPDDR5X yields steady above 90%, and performance gap narrowed to within 5%.
But don’t get carried away, here’s something different:
ChangXin has broken the oligopoly of general-purpose DRAM, not the AI memory hegemony.
In HBM, Hynix and Samsung hold over 90% market share, while ChangXin’s HBM3 is only in small batch production, with a 1.5-2 year generation gap. The next three years will likely be a layered scenario—
The Korean and American three companies control the lifeblood of AI server HBM, while ChangXin takes the general-purpose market for PC/mobile/domestic servers, gradually chipping away at Micron’s mid-to-low-end share.
A word to my crypto brothers:
Memory is the hidden position of AI computing power. ChangXin entering the table = domestic computing cost curve shifts down = the bottleneck in capital expenditure for domestic large models/cloud providers begins to loosen.
But the 3.3 trillion market cap already fully prices in the 2026 profit expectation of over 50 billion. Short term is sentiment-driven; mid term depends on whether HBM can break in before 2028, otherwise it’s just a cheaper version of Micron, not the Chinese version of Hynix.
My stance is clear: ChangXin is a strategic variable, not a valuation bargain; it rewrites the supply pattern but does not rewrite the top-level order of AI memory.Market Fragmentation Seen from the Meme Coin Riot!
Retail is in celebration, institutions are waiting for signals!
The most striking phenomenon in late July was not Bitcoin's price fluctuations, but $SHIB's single-day surge of nearly 37%, with $PEPE and $DOGE strengthening simultaneously, while BTC and ETH were almost stagnant. This is not simply a "risk appetite rebound," but a typical market split.
Retail funds are expressing their attitude with their feet: when the market has no direction, they seek excitement in highly elastic assets. On-chain data shows that some dormant whales have re-entered the market, exchange net outflows continue, and burn volume has increased. This is a classic pattern of retail investors leading the market. Meanwhile, after consecutive inflows, US spot Bitcoin ETFs have seen significant single-day outflows, with institutions remaining cautious.
This split is not new in 2026. Whenever macro uncertainty rises (first rate meeting during Walsh's term, unclear progress on the CLARITY Act, fluctuations in geopolitical oil prices), funds stratify: institutions with long-term allocation needs choose to wait and see or slowly accumulate shares, while retail investors with trading needs flock to the most volatile commodities. As a result, BTC volatility is suppressed to extremely low, while the volatility of altcoins and memes is amplified.
Structurally, this is unhealthy, but it's also unsustainable. Historically, phases similar to retail frenzy + institutional absence were either ended by a clear macro/regulatory catalyst and turned into a full-blown bull market, or ended with rapid pullbacks. Currently, it is closer to the early stages of the former. As long as the late July policy meeting gives clear signals of easing or ending QT, funds will quickly flow back from high-beta assets to BTC and mainstream assets.

For traders, the most important thing right now is not chasing the already rampaging Meme, but to observe two indicators: whether ETFs have returned to sustained net inflows, and whether large wallets have started accumulating again. Once these two signals appear simultaneously, market splits will end.
#多数党领袖称CLARITY休会前难通过 Am I born to be the one to point back? Every time I buy, prices drop
Not really talking about itself, but from Robinhood Chain's recent performance
I felt a familiar rhythm
On-chain speculation on Robinhood Chain remains active
Several tokens hit new highs in market capitalization today
Then guess what
On one hand, the market is speculating on the new token of Robinhood Chain
On one hand, SUI, EIGEN, and FF all saw big unlocks this week
Lighting a fire while splashing water
This sense of division is actually very familiar
The popularity of Robinhood Chain is real
Robinhood's user base is well established
Traditional stock users are experiencing on-chain assets for the first time
The entry effect is very strong
But unlocking is also an objective selling pressure
SUI has unlocked quite a lot this week
EIGEN is no exception
Can the market catch these unlocking chips?
A question mark is needed
Additionally, there is another piece of data that caught my attention today
BTC ETFs saw outflows of 225 million yesterday
Although BTC prices did not fall
But if this outflow continues,
This indicates that Wall Street institutions are reducing their holdings
This stands in stark contrast to the enthusiasm of retail investors on the chain
So my judgment is
In the short term, the market is in a state of "enthusiasm above but selling pressure below."
The hype around Robinhood Chain can provide localized heat
However, large unlocks and ETF outflows are a systemic pressure
Heavy positions and similar trends are unwise
Use small positions to follow the heatThe storage chip sector is no longer just an "internal battle among the three Korean giants." Changxin Technology's IPO has been wildly speculated on by the market, but the real driver behind this is the emergence of a new variable in the global storage landscape. Previously, AI storage narratives were almost monopolized by Samsung, SK Hynix, and Micron, with HBM, DRAM, and server memory each acting like toll gates controlled by a few players. Now, Chinese manufacturers are gaining support from motherboard makers and are being valued by the capital markets. Even if there are still technical gaps, it's already enough to make the original monopoly's comfortable days a bit less so. I think the most important thing to watch here isn't how much the stock rises on the first day, but whether the industry chain is willing to incorporate it into real procurement systems. The harshest reality in the chip industry is that stories can be told through policies, but orders must be won through performance. The IPO is just the bell ringing; the real test is in the customers' data centers.
#长鑫科技上市，全球存储竞争添变量 Why did Tesla pay for its $1.95 billion acquisition of an AI hardware company entirely in stock?
Tesla spent $1.95 billion this time to buy an AI hardware company, splitting the money into two parts, and not spending a single cent in cash.
$1.95 billion, which is the total price for a mysterious acquisition Tesla will officially complete in Q2 2026, slightly below the peak $2 billion expected disclosed in April. All the money was paid in Tesla's common stock and equity awards, with no cash outflow, so there was no direct impact on current profits and cash flow.
How exactly are they divided? The $222 million is a fixed consideration, corresponding to the acquisition target's AI hardware patents and developed technology assets, which will be delivered in Q2 2026 and recorded under Tesla's "Intangible Assets" account.
The remaining $1.73 billion is "contingent consideration," linked to the service life of the technical team and the progress of AI technology deployment—the technology must be deployed within the Tesla ecosystem to a set stage before this money is gradually confirmed and is currently listed under "long-term payables."
You might wonder, does this deal have a significant impact on Tesla's Q2 financial report? The answer is almost none. Tesla's Q2 operating profit plunged 57% year-on-year to $398 million, mainly due to price wars, carbon credit revenue being halved (from $439 million to $146 million), and R&D expenses soaring 49% to $2.37 billion.
The 222 million yuan in intangible assets acquired by this acquisition are amortized over the technology lifecycle, with a very small amount and hardly a driving force behind the profit decline.
More importantly, because all payments were made in stock, with no cash outflow, free cash flow turned negative to -$1.09 billion, entirely due to $5.79 billion in capital expenditures (Optimus production line, AI chip factory, Robotaxi, etc.), unrelated to the acquisition.
What exactly are the conditions tied to that 1.73 billion yuan contingent consideration? The public documents only confirm two categories: the core team must meet service retention periods, and the technology implementation schedule must meet standards.
No quantitative revenue or profit performance indicators were disclosed; all anchors point to the technology itself—widely expected to be a custom AI chip for Optimus humanoid robots and mass production adaptation of next-generation FSD high-performance hardware.
This deal is extremely rare for Tesla. Historically, the company has acquired only about 10 companies, most of which focus on battery technology and manufacturing automation. This time, spending nearly $2 billion to acquire an AI hardware company whose name hasn't even been disclosed has broken Tesla's long-standing "build in-house" vertical integration model.
The two hottest speculations in the market are DensityAI (an AI accelerator company founded by Dojo's former team) and Atomic Semi (a semiconductor company co-founded by chip architect Jim Keller), but neither has received official confirmation.
The 1.95 billion yuan purchase is not current revenue, but a ticket to enter deeper AI hardware — no cash, no profit loss, all-in technology implementation. This is the core logic of this deal. #财报观察员: Can Microsoft, Meta, and Amazon stabilize the AI narrative? $TSLA #长鑫科技上市, global storage competition adds new variables
Changxin went public today, soaring at the opening, its market value reaching 3.31 trillion yuan, kicking ICBC from its top spot on the A-share market.
This company is the one that develops its own DRAM memory chips, ranking fourth globally, with only SAMSUNG, SKHYNIX, and Micron $MU ahead of it. Interestingly, just a few days ago, AI giant Anthropic signed a major supply order with two Korean companies, and NVIDIA $NVDA also invested in South Korea—originally, all the AI dividends went to Korea, but Changxin's IPO now makes it clear: I want to cut a piece of this pie too.
For $BTC, short-term macro sentiment is positive, and the A-share tech sector has seen a wave of risk appetite. But in the long term, we need to keep an eye on DRAM prices. This thing has risen more than tenfold in a year. If China's production capacity really ramps up and drives prices down, global inflation expectations will change, and BTC will have to fluctuate as well. Don't rush to be optimistic; let's see if production capacity can keep up with the future.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.
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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 #
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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 peopleChangxin 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 #SixDimensionalStockTradingSystemQuick 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