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😎 Mywell Technology ($MRVL) is currently priced at $194.6, in the oversold retracement phase after a 41% retracement from the June high of 329.88 (closed at 183.30 yesterday, +6.3% for the day). In the short term, it has recovered, but in the medium term, remains below the 20-day and 60-day averages of 209.34 and 227.87.
📊 Technical Position (USD)
Resistance (1): 198.7, Fibonacci R1 + round number, breaking out of intraday weak zone.
Resistance (2): 209.3, 20-day MA + Bollinger middle band coincides, strong resistance.
Resistance (3): 227.9, 60-day MA, breakout confirms medium-term strength.
Support (1): 188.9, a recent area with concentrated buying and intraday bullish support.
Support (2): 180.9, 5-day MA; a break would trigger a pullback to test the recent low at 175.15.
Support (3): 169.0, Fibonacci S1, only seen in extreme panic.
🚀 Positive
(1) AI ASIC + optical internet dual engines: Q1 data center revenue of 1.833 billion RMB, accounting for 76%, with FY27 optical interconnect growth forecast raised by over 70%.
(2) Next quarter guidance is a midpoint revenue of 2.7 billion (+35% year-on-year) and a midpoint of EPS of 0.93, fully exceeding expectations, with FY27 revenue expected to reach 11.5 billion.
(3) 42 institutions 86% buy, UBS at 340, KeyBanc at 400, custom chips tied to Amazon/Google TPU.
⚠️ Bearish
(1) GAAP EPS was only $0.039 (down 80% year-on-year), with a net margin of 1.43%, and the worsening profit margin scared off capital.
(2) TTM PE is about 67 times, stock price priced in perfect expectations, Morgan Stanley's neutral target price of 195 indicates limited upside.
(3) ASIC is highly dependent on the top ten customers (82%), and a single cloud vendor cutting orders triggers both valuation and performance losses.
📈 Performance guidance (FY2Q27, to be disclosed in late August)
Midpoint of revenue was $2.7 billion, ±5%, Non-GAAP EPS midpoint was $0.93, gross margin about 59%; FY27 full-year revenue was about $11.5 billion (+40%), and FY28 was about $16.5 billion (+45%). The next financial report is expected to disclose Q2 around August 27, 2026.
🏦 Wall Street target price
42 companies covered, with 86% buying/increasing holdings. The average price is about $268.15, the median is 256.91, with a maximum of 400 (KeyBanc) and a low of 180 (Goldman Sachs). The 194.6 price is about 38% upside from the average price, and is basically in place of the Morgan Stanley neutral target of 195.
💡 $MRVL Trading Perspective: 194.6 is stuck between the 188.9 support and 198.7 short-term resistance. Standing at 198.7, look for a rebound at 209; if 188.9 is lost, move toward 180. Before earnings reports, avoid chasing highs; use the 188.9 gain/loss as a short-term switch; in the long term, the AI ASIC + CXL logic remains unbroken, but high valuations + concentrated customers will cause significant drawdown wear. $XMRVL Here is a simple, clear market prediction post based on the **xAAPL/USDT** daily chart:
## 📈 **$xAAPL/USDT Price Prediction & Analysis**
### **1. Current Situation**
* **Current Price:** $313.56
* **Recent High:** $XAAPL 344.98
* **Recent Low:** $305.95
* **Summary:** The price took a heavy drop (a large red candle) from $345 down to around $306. It is currently trying to stabilize near **$313**.
### **2. Key Price Levels to Watch**
* **Key Support (Floor):** **$305.00 – $306.00**
> *If the price falls below this, it could drop further.*
>
* **Key Resistance (Ceiling):** **$XAAPL 329.00 – $330.00**
> *The short-term moving averages (MA5 & MA10) sit here and will act as strong resistance.*
>
### **3. Market Prediction (Short-Term)**
* **Bearish / Neutral Scenario (Most Likely):**
Because the recent dump was very aggressive, expect some consolidation (sideways movement) between **$308 and $320** over the next few days. The price may test the **$329 resistance level**, but without high buying volume, it could get rejected and pull back down toward **$305**.
* **Bullish Reversal Scenario:**
If buyers push the price past **$330.00** with strong volume, the heavy drop will be considered a fakeout, and the price could climb back toward **$340+**.
> ⚠️ **Disclaimer:** *This is an technical analysis breakdown for educational purposes, not financial advice. Always do your own research before trading!*
> $XAAPL Don't guess where $SNDK is headed
After yesterday's strong 26% rebound, it is unlikely that the overall trend will continue a one-sided rally this afternoon, and profit-taking will be the main trend throughout the day.
Observing the market chart, it's not hard to see that after the pre-market surge to $1354, the upward momentum has clearly exhausted.
Each round of slight gains triggers a large amount of short-term profit-taking selling pressure. The support below is decent, but incremental bull funds have long stopped entering the market.
Based on on-chain and contract data tracked over several days, most of the leveraged funds that bottom-fished yesterday chose to cash out in batches and exit.
The number of large-scale take-profit transfers on-chain has doubled, funding rates continue to fall, and the short-term speculative activity on the market has cooled significantly.
Long-term whales have basically held their positions without moving at all, neither increasing their positions nor selling, quietly waiting for the market's direction to be selected.
At the track level, this round of rally relies on Microsoft's earnings to restore cloud procurement expectations, supported by the storage price hike cycle.
However, it is essentially a short-covering rally after overselling, without any new fundamental positives, and its sustainability is inherently lacking.
The storage sector collectively paused in tandem, with Micron and SK Hynix's gains narrowing sharply, and the sector's clustering heat faded.
From a practical trading perspective, I won't chase the highs in the afternoon to buy positions.
Above, the $1400 to $1450 range has accumulated a large amount of previously trapped chips, making a short-term breakout difficult.
In the afternoon, there is a high probability of a fluctuating pattern of surges and pullbacks, with repeated fluctuations in the range becoming the norm.
If the support level holds at $1280, the range will remain ranged; if it falls below it, it will give back most of the day's gains.
Overall, the short-term sentiment dividend has been fully realized, and the phase of consolidation grinding has officially begun.
After the short-term hype fades, how should we grasp the rhythm of selling high and buying low next?
#PCE环比转负, GDP growth slows to 1.5% #财报观察员: Amazon's guidance fell short of expectations, yet its stock price rebounded by 9% #微软单日市值增近4500亿, setting a record for US stocks $ETH On July 31, on-chain statistics based on DeFi Active TVL ranked Monad third globally with $367.1 million; trailing only Ethereum ($2.047 billion) and Solana ($484.5 million). As a new generation of high-performance Layer1 public blockchains, Monad has leapt to become one of the fastest-growing underlying public blockchains in the current RWA sector. 1. How to Understand the Core Value of This Data: 1. Key Statistical Differentiation: This time, it focuses on active DeFi TVL, excluding idle assets, and more truthfully reflecting on-chain funds participating in trading, lending, and other activities. Compared to the general TVL, it is less inflated and represents real liquid capital. 2. Clear tier structure: Established Ethereum and Solana still hold the top tier, while Monad has successfully shaken off many traditional public chains to become a representative of new forces. Relying on parallel execution architecture and EVM compatibility, it continuously attracts DeFi protocols and RWA institutions to deploy. 3. Narrative Resonance: A large number of tokenized real-world assets continue to migrate on-chain, and RWA funds are steadily accumulating, which is the core driving force behind Monad's sustained rise in active stake-lock, with clear signs of institutional capital deployment. 2. Two major risks must be viewed rationally: (1) TVL growth ≠ tokens immediately strengthen. Much on-chain liquidity relies on incentive funds and short-term cross-chain arbitrage funds, which have high liquidity. Once incentives fade, they can quickly flow out; The size of hedging is only a fundamental indicatorAmong the diverse and complex bottom prediction tools for Bitcoin, one type of indicator has weathered multiple bull and bear cycles and has extremely high practical reference value—mainstream mining machine shutdown prices. Technical indicators can be distorted by sentiment, macro narratives can reverse instantly, and on-chain holdings are also affected by major player transfers and cold wallet migrations. But miners' electricity bills are a rigid cash expense that cannot be subjectively avoided and must be continuously redeemed in fiat currency. Electricity fees are not automatically waived based on beliefs, narratives, or long-term optimism. Once the spot Bitcoin price breaks through the break-even shutdown line of the main mining machines across the network, losses will spread rapidly, and high-cost mining farms will be forced to shut down and sell off their BTC inventory to repay debts—this is what the market calls miner capitulation. This round of passive liquidation often smashes the iron bottom of a bear market cycle. Many investors confuse the concept: shutdown price does not equal the depreciation cost of mining machine hardware. Depreciation is sunk costs already paid; Shutdown prices only look at immediate cash flow—whether the BTC generated from mining can cover daily cash costs for electricity, facilities, and operations. As long as daily cash flow is negative, every extra day of continuous operation means losing more cash, and rational miners will choose to shut down the machines. Two Complete Bear Market Reviews: Shutdown Prices Highly Overlap with Market Bottoms Looking back at the deep bear markets of 2018 and 2022, we can clearly see the actual market bottom, which strongly resonates with the shutdown cost range of mainstream mining institutions at the time. 2018 Bear Market: Bottom at $3122 After the 2017 Bull Market Peak🚨 Today wasn't just a green candle on SK hynix... it was a reminder that big money leaves clues.
I opened the chart expecting nothing more than a relief bounce.
Instead, SK hynix exploded.
The more I dug into it, the clearer it became: this wasn't driven by a single headline. Multiple bullish catalysts lined up at the same time.
The biggest one?
SK Group Chairman Chey Tae-won personally bought 3,620 shares of SK hynix on July 30, worth about ₩4.8 billion. What's interesting is that this was his first direct purchase of the stock after previously holding exposure only through SK Square.
After the stock had fallen from around ₩2.18M to ₩1.32M, that insider buy sent a strong message of confidence.
At the same time, the entire memory sector caught fire.
📈 The Philadelphia Semiconductor Index surged more than 7%, while SanDisk, Seagate, Western Digital, Micron, and SK hynix all rallied together. That's usually a sign of institutional money rotating into the sector—not just retail FOMO.
Microsoft's earnings added even more fuel.
Azure continued delivering impressive growth, annual cloud revenue surpassed $100 billion, and stronger profitability eased concerns that AI infrastructure spending was slowing. Add improving expectations for DRAM pricing and HBM demand next year, and it's easy to see why sentiment flipped so quickly.
As for my position, my average entry is around 908.37, and I'm sitting on a healthy unrealized gain.
I'm not trying to call the exact top.
My plan is simple:
✅ Scale out gradually as price moves higher.
✅ Keep raising my stop to protect profits.
✅ If the market pulls back but my risk level holds, I'll reassess—not panic.
The hardest part of investing isn't finding a winning trade.
It's knowing how to leave it without giving back the profits you worked so hard to earn.
$SKHYNIX $BTC $ETH
#AI #Semiconductors #Investing #PCE #GDP
#DailyOrbit Start cashing out rewards in batches! PCE data has catalyzed the market, and overnight positions have already reached the expected price level
With the release of PCE data signaling positive conditions, overnight positions have already risen to the planned target range, and at this stage, phased take-profit operations have been initiated.
• $SNDK has risen 35% since the stage low.
• SK Hynix's bottom rebound reached 33%
• MU Micron has risen about 26% from the bottom
This is a typical rapid rally, covering the preset upside potential in just one trading day. So how will the market unfold next?
This is just my personal opinion: this round of rebound is unlikely to be sustained very strongly.
The faster the rally, the more likely it is to have the attributes of a recovery and rebound; Such rapid rallies often attract follow-up funds, and there is still a possibility of further correction and digestion.
This morning, funds surged in succession, which could very well become a temporary price high.
Going forward, they will continue to seize opportunities in line with market rhythms.
#美联储三位官员表态倾向收紧政策, evening PCE data became a core market focus Amazon's free cash flow turned negative by $7.6 billion in the past December: AI capital expenditure should be viewed alongside cash
Amazon's operating cash flow for the twelve months ending June was $161.403 billion, a 33% increase from $121.166 billion in the previous twelve months. If you look at this column alone, cash generation capacity is still growing; However, the company also disclosed that net property and equipment purchases over the past twelve months amounted to $169.007 billion, a 64% increase from the previous period. As a result, the company's free cash flow outflow shifted from an inflow of $18.184 billion to an outflow of $7.604 billion.
This free cash flow is based on the past twelve months, not Q2 alone. The quarterly cash flow statement shows operating cash flow of $45.387 billion in Q2, $54.208 billion from property and equipment purchases, and $1.132 billion from property equipment and equipment sales incentives. Subtracting the latter two items, net cash outflow for property equipment for the quarter was approximately USD 53.076 billion; Comparing with operating cash flow, the simplified quarterly spread was approximately negative $7.689 billion. This simple calculation approaches but does not equal all free cash flow variants separately disclosed by the company.
The company clearly stated that net property and equipment purchases over the past twelve months increased by $66.1 billion year-on-year, mainly reflecting investments in AI. This is the official explanation for incremental growth, but it does not mean the entire $169.007 billion is dedicated solely to AI. Amazon also has fulfillment centers, transportation, offices, retail equipment, and other infrastructure. The official form does not break down all capital expenditures by AWS, logistics, or generative AI.
The balance sheet already reflects capital density. Net property and equipment at the end of June reached $446.046 billion, higher than the year-end $397.785 billion; Operating leasehold right-of-use assets amounted to $92.743 billion, with total assets rising to $1,095.689 billion. After new assets are put into service, depreciation will gradually enter costs in future quarters, so the improvement in operating profit this quarter does not mean that all new capacity costs are fully reflected in the current income statement.
Liquidity remains considerable. Cash and cash equivalents amounted to 78.213 billion USD, and securities 44.775 billion USD, totaling 122.988 billion USD; Long-term debt of $128.894 billion. Comparing just these two figures, cash and securities are slightly lower than long-term debt, but this is not an official net debt indicator because short-term debt, leases, other liabilities, and asset availability must also be considered.
Financing and investment activities are also expanding. This quarter, long-term debt issuance proceeded at $13.557 billion, with long-term debt repayments totaling $2.752 billion; Cash outflows from acquisitions and non-valuable investments amounted to $24.359 billion. These items do not constitute operating cash flow but can change the ending cash and asset structure. Simplifying negative free cash flow as "the company has no cash," or simply writing bond issuance as deteriorating operations, are both beyond what official data can support.
The most important cash signal this quarter is not a single positive or negative sign, but two speeds: operating cash flow continues to expand, and investment in property equipment is growing faster. Demand for AI capacity, chips, and data centers has entered the cash flow statement, but return on investment will still need to be validated in subsequent quarters using AWS revenue, segment operating profit, consolidated depreciation, and free cash flow.
Therefore, when published, three periods are consistently distinguished: Q2, the past twelve months, and the balance sheet. It can be confirmed that free cash flow over the past twelve months was negative $7.604 billion, and the company attributed the $66.1 billion capital injection increment mainly to AI; These figures cannot be rewritten into next quarter's results, nor can it be asserted that every dollar is used by AWS without a segmental capital expenditure statement.🚨 The U.S. stock market is moving wilder than crypto right now.
In just 48 hours, SanDisk soared 42.4% and SK Hynix gained 40.7%.
That's how quickly fear turns into FOMO.
Here's how I see it:
1️⃣ The AI boom isn't over—it's redistributing wealth.
I've said this before: this isn't the end of the AI story.
After years of explosive gains, many AI-related stocks became expensive. When valuations outrun earnings, corrections are normal. That's not the same as the investment thesis breaking.
Recent earnings still tell a strong story:
• Microsoft continues growing AI revenue.
• SK Hynix is increasing AI-related capex.
• Long-term HBM demand keeps rising.
The AI infrastructure buildout is still happening.
History shows that sharp sell-offs driven by fear often create opportunities—but only for investors who stay disciplined. The key isn't going all in; it's managing risk and building positions patiently.
2️⃣ This feels like a rebound, not a new bull market.
The storage sector added hundreds of billions in market value in just two days. To me, that's mostly a recovery from oversold levels—not proof that a fresh uptrend has begun.
For a true bull market, I believe we still need:
✅ The Federal Reserve to begin a real rate-cutting cycle.
✅ AI spending to consistently translate into profits, not just massive capital expenditures.
For now, high interest rates, elevated oil prices, and geopolitical uncertainty continue to weigh on liquidity. That's not the ideal backdrop for a one-way rally.
The biggest challenge in investing isn't predicting the next move.
It's keeping your discipline when everyone else is driven by fear... or euphoria.
#DailyOrbit Apple fell, Amazon rose: Two earnings reports, one lesson
This earnings season, it's particularly interesting to look at two companies side by side: Apple's earnings were good, but its stock price fell; Amazon's cash flow was negative, yet its stock price rose.
Apple: Did well this time, but forecasted to do worse next time
Let's first look at Apple's report card.
Revenue was $109.4 billion, up 16% year-over-year; net profit was $29.8 billion, up 27%. Breaking it down, iPhone revenue rose 22%, Mac rose 29%.
This is quite an impressive result. Both phones and computers sold very well, and the company remains very profitable.
So the question is, with such good results, why did the stock price fall?
Investors look at earnings reports not just to see how much was earned in the past three months, but more importantly, whether growth can continue.
To give an analogy: a student scored 90 this time, which is very good. But if he tells his parents, "Next exam, I can only score just over 80," how would the parents feel? Certainly not happy.
Apple did exactly this: it expects next quarter revenue growth of 9%–11%, below market expectations. The services business was not as strong as imagined, and AI has not yet brought significant revenue.
So Apple's problem is not that it isn't making money now, but the market worries that its growth rate may slow down.
Amazon: Spending aggressively, but already seeing returns
Now let's look at Amazon. The focus of this earnings report is not online retail, but AWS.
What is AWS? You can think of it as a computing power rental company. Many businesses don't want to buy servers or build data centers themselves, so they rent from Amazon. AI companies especially need computing power, so AWS naturally becomes the most direct beneficiary.
Looking at the numbers: total revenue was $200.6 billion, up 20%; operating profit was $27.5 billion, up 43%. AWS revenue was $42.2 billion, up 37%—the fastest growth in the past 18 quarters.
But Amazon also spends aggressively: this year it plans to invest $220 billion on chips, data centers, and AI. Because of heavy spending, free cash flow over the past 12 months was negative $7.6 billion.
Negative cash flow, so why did the stock price still rise?
Another analogy: someone spends a lot to build a factory, so cash is tight initially. But as orders increase and revenue grows rapidly, lenders won't panic because they can see the money coming back.
Amazon is in this state now. AWS's 37% growth signals to the market that the money invested is already turning into revenue.
Why does Amazon rise while Meta falls despite both burning cash?
Yesterday we talked about Meta. Both Meta and Amazon are burning cash to build AI infrastructure, and both have declining free cash flow, but the market's attitude is completely different.
What's the difference?
Amazon spends money but can directly sell computing power to customers through AWS; customers pay for servers, cloud services, and AI usage as they go, so money comes back immediately.
Meta, on the other hand, makes money from Facebook and Instagram ads, then invests that ad revenue into AI models and data centers. AI can improve ad targeting, but the clear accounting between investment and returns is unclear.
Amazon spends and earns simultaneously; Meta spends first and it's uncertain how much it will earn in the future. The market naturally prefers the former.
Apple's problem is not lack of profit, but possibly slower future growth; Amazon's problem is heavy spending, but AWS has proven the spending is worthwhile.
This principle applies to all companies: spending money is not scary; what's scary is spending money that doesn't bring back more revenue and profit. Bear Market Review: Why the shutdown price of mainstream mining machines is the hardcore benchmark at the bottom of the BTC cycle
Miners' electricity fees are rigid cash costs and have no subjective compression space. When Bitcoin's market price breaks through the break-even shutdown line of the main miners, miners are forced to surrender and sell off liquidations, often squeezing out the iron bottom of a bear market cycle. By reviewing two complete bull and bear cycles, we can clearly see the validity of this logic.
Looking back at the bottom of two major bear markets in history:
• 2018 bear market bottom $3122: The main force across the network was the Ant S9. In the industry's general 0.05 USD electricity price environment, shutdown costs were concentrated between 3000-3500 USD, and the actual market bottom was exactly in this range.
• 2022 bear market bottom $15,476: The mainstream miners in the market have updated to the S19 and M30S, also calculated at a $0.05 electricity price, with shutdown prices ranging from $14,000 to $16,000, with the market bottom highly overlapping with the cost range.
Using the current mainstream electricity price of $0.05/kWh for compliant mining farms as the benchmark, break down the current mine shutdown cost stratification:
1. Tiered prices for mainstream mining machine shutdowns
1. Current main models on the market (S21 / S21 Pro / M60): shutdown cost $45,000-$55,000
2. Water-cooled flagship high-performance model (S21 XP Hyd): Better power optimization, shutdown cost $32,000-$40,000
2. Two-round bottom scenario prediction
(1) Initial support range: $48,000–$55,000
Prices fell back to this range, large quantities of mainstream S21 mining machines entered a loss-making state, the expansion of computing power across the entire network came to a halt, and highly indebted listed mining companies began continuous selling pressure to repay debts.
Trading Meaning: Long-term funds can start partial base position positions, which is the first level of ambush, but not necessarily the ultimate large bottom.
(2) Extreme liquidation range: $38,000–$45,000
If combined with a macro black swan and sharp global liquidity tightening, the market could directly break through the shutdown threshold of mainstream mining machines. A large number of mid-cost mining farms could no longer operate, choosing to shut down operations or liquidate assets in bulk.
Looking back at history, this kind of large-scale clearance of mainstream miners is the absolute bottom of a bear market.
3. Don't subjectively guess the bottom! Three major confirmation signals indicating a bottom
A price drop to the cost range is only a necessary condition; it does not mean a bottoming out immediately. You must confirm it on the right side in conjunction with signals on the mining chain:
1. Hash Ribbon miner surrender indicator: After a death cross appears, a golden cross forms again, indicating that large-scale miner selling pressure has ended;
2. BTC mining difficulty: Two or more consecutive significant negative reductions, each with a reduction greater than 5%, resulting in a substantial collapse in hash rate;
3. Miner Reserve: After a rapid and sharp decline, the value stabilized and flattened, indicating miner selling has basically been exhausted.
When the price falls within the corresponding shutdown price range + the above three signals are triggered in sequence, a macro bear market bottom is considered confirmed.
Disclaimer: The shutdown price is a static theoretical estimate and may be affected by electricity price fluctuations, mining enterprise liabilities, and hedging operations. It is for cyclical research reference only and does not constitute investment advice.The core contradiction exposed during the Q2 earnings season: large tech companies' free cash flow is approaching zero or even turning negative, CapEx's continued expansion has shifted from internal cash circulation to external financing, and the 5-7% interest cost directly changes the market's pricing logic for AI investment.
On the market front, Meta was hit by 8% for pure cash burning, while Microsoft gained market recognition for its cloud business utilization. With both high CapEx, whether FCF can remain positive has become a core variable in stock price differentiation. $XGOOGL Currently caught between these two extremes, the market is waiting to see if its downstream advertising and cloud revenue can cover the incremental capital expenditure.
Driver Rankings: First, a negative FCF means continued expansion must bear external financing costs. A 5-7% interest rate directly erodes ROI calculations, a constraint not present in previous zero-interest cycles; Second, market pricing anchors shift from CapEx scale to CapEx returns, with downstream utilization and real profit payback cycles becoming valuation watersheds; Third, on the capital flow side, institutions are rebalancing during earnings seasons; stocks with negative FCF experience net outflows, while those with positive FCF absorb overflow, accelerating liquidity redistribution within the sector.
Upside scenario: If GOOGL shows in its financial report that cloud utilization continues to climb and AI-related ad revenue growth exceeds expectations, it proves CapEx investment is beginning to yield quantifiable returns, and the market may once again tolerate high capital expenditures. The trigger conditions are accelerated cloud revenue growth quarter-on-quarter and positive FCF, with observed variables being GCP utilization data and changes in AI ad unit prices. The failure signal is FCF turning negative and cloud growth slowing.
Downward scenario: If the next round of financial reports shows stagnant AI infrastructure utilization and downstream customer payment conversion rates falling short of expectations, continued FCF deterioration will force the market to systematically discount AI premiums across large tech sectors. The trigger conditions are two consecutive quarters of quarterly decline in FCF and continued expansion of CapEx, with variables to watch being the pace of corporate bond issuance and changes in credit spreads. Failure signals are shareholder return plans that exceed expectations or large-scale buyback announcements interrupting bearish logic.
On the derivatives side, during earnings season, the implied volatility of tech giants' options was already at a high level this year, and the rise in put skew reflects increased institutional hedging demand for FCF risk. In terms of spot capital flows, the technology sector saw net redemptions at the ETF level, but there was clear divergence among individual stocks—FCF-healthy targets still had net subscriptions.
The most critical variable to watch over the next 7 days: the absolute value and sequential direction of free cash flow in the GOOGL earnings, and whether management signals marginal convergence in CapEx guidance for the second half.
#交易之声: Your experience deserves to be heard. #美联储三票主张加息, tonight's PCE is a new highlight$BTC According to market data, BTC options showed strong bullish sentiment before the end of the month, but spot prices did not rise in tandem as expected. Data from the Deribit platform shows that approximately $5 billion worth of BTC options open interest are concentrated in two major strike price ranges: $70,000 and $72,000. Currently, BTC is priced around $64,300, with significant space above the dense exercise zone. Many retail investors, upon seeing this news, immediately concluded that major players are collectively betting on an upward trend, and the market is about to break through the 70,000 mark. However, there is a highly prevalent trading misconception here: the accumulation of large call options does not mean traders are betting on a price increase, nor does it necessarily mean the price of the displayed contract will inevitably rise. 1. Concentrated Bullish Positions: Multiple Strategic Possibilities Institutions and professional traders place large amounts of out-of-the-money call options for more than just one purpose: 1. Bull Market Spread Combination (most common): Buy low-value call options and sell high-strike call options to hedge premium costs. This is a range-bound strategy; traders do not expect a sharp price surge, only a mild rebound. 2. Spot position protection strategy: Large holders hold large amounts of BTC spot, buying out-of-the-money bullish is a coverage strategy to increase returns and does not mean adding more long positions. 3. Event Hedging Positioning Formulating multi-scenario scenarios for the Fed's decisions and macro data, focusing solely on volatility rather than predicting a one-sided rise. In other words, a massive amount of call options is a complex trade$TSLA $XTSLA Cheche, do you still have any battery?
Tesla (NASDAQ: TSLA) is currently in a critical period of market adjustment. Based on the latest market data and financial reports, the following is a detailed analysis:
1. Recent financial performance and stock price trends
Poor financial performance: On July 22, 2026, Tesla released its Q2 earnings report of $28.24 billion in revenue and adjusted earnings per share (EPS) of $0.33, which not only fell short of market expectations (about 38.5%), but also marked a significant decline in operating profit margin, turning free cash flow negative (-$1.09 billion).
Increase in capital expenditures: Due to increased investments in AI, autonomous driving, and production facilities, capital expenditures (CapEx) have shown a trend of "doubling quarter-over-quarter." Management expects full-year 2026 capital expenditures to exceed $25 billion and plans to apply for debt financing facilities up to $30 billion.
Stock Price Volatility: As of the close on July 30, 2026, Tesla's stock price was $308.85. Previously, due to negative earnings reports, the stock price plunged about 17.8% within a week.
2. The focus of market attention
Currently, investors' concerns about Tesla mainly focus on the following points:
Lack of clear vision: The market is impatient with Tesla's mass production progress in projects such as Robotaxi and Optimus, and the lack of a concrete timeline has left investors anxious about future growth.
Cybertruck sales difficulties: The market is disappointed with the Cybertruck's sales performance. Some reports say sales are far below previous high targets, and the media even labeled it the "biggest flop in the automotive industry," putting pressure on Tesla's brand reputation.
Musk's personal wealth fluctuations: Another company closely related to Tesla, SpaceX, has recently seen a sharp decline in valuation, causing Musk's personal wealth to shrink historically within a month. This has also indirectly affected investor confidence in his companies.
3. Today's and short-term observation recommendations
If you follow Tesla, it is recommended to pay attention to the following indicators:
Debt and cash flow management: The company plans to borrow up to $30 billion, and the market will closely examine whether these funds can be effectively converted into future profit growth or simply burn cash flow.
Production and Delivery Data: Although Q2 production and deliveries remained steady (about 450,000 and 480,000 units respectively), the collapse in profit margins suggests that its pricing power may be weakening.
Macroeconomic environment: Currently, the global manufacturing PMI is contracting (July data was 49.2), and consumer demand is weak, posing challenges for Tesla, which mainly focuses on high-end models.
In summary:
Tesla is currently in a 'transitional phase,' shifting from a simple automaker to an AI and robotics technology company. Although capital expenditure is substantial, the market needs to see more concrete revenue returns to support current valuations. The current stock price is fluctuating around $300, reflecting a significant divide among investors between the company's fundamentals and future vision.Recently, the market seems to be filled with voices about the US stock bubble bursting. If the US stock market really bursts in such a bubble, wouldn't that mean most people will make money? In any case, I also don't believe this market will make most people profitable. Therefore, personally, I believe the US stock bubble still hasn't burst yet. —————————————————— Some people are panicking over capital expenditures in tech companies' financial reports, worrying that funds flowing into AI may become increasingly scarce in the future. Such concerns do objectively exist, but they won't significantly affect the development of AI. Take Google as an example: Google's annual capital expenditure on AI is estimated to be around $200 billion. Currently, only its third quarter free cash flow is negative, and that figure is only a few billion dollars. Even if the four quarters are the same figure, the total amount would only be around 20 billion US dollars. In other words, Google only needs to cut about $20 billion in capital expenditure to fully restore free cash flow to positive territory. Compared to $200 billion, $20 billion isn't a drop in the bucket, but it's safe to say it's harmless. Moreover, Google may not cut expenses, as its cloud service revenue is very strong and has seen significant growth. Moreover, Google itself has a very deep financial backing, so these billions of dollars are indeed not much for Google. The market is now worried about whether Google can control this capital expenditure; it cannot be said this time to be in the billions of dollarsThe market is waiting for answers from Amazon and Apple tonight. $BTC currently quoted at 63,930, with no clear direction. But last night, Microsoft and Meta's earnings reports laid their differences on the table—they're not the same story at all. Microsoft's report card is solid cash flow: $90 billion in revenue, Azure growth rising quarter-on-quarter, and Copilot's enterprise subscribers exceeding expectations. Every subscription is a real income deducted monthly, and every unit of AI computing power consumption corresponds to the company's bill. AI in this company is a business to be sold, not a vision shown on a PowerPoint. Meta's side is a completely different storyline. The $60.8 billion revenue growth is indeed impressive, but free cash flow has hit a four-year low, and the capital expenditure cap has been pushed straight to $145 billion. The market gives you a vote with your feet, so it goes down. The core disagreement isn't about growth rate, but about where the money goes. Microsoft is making money with AI, Meta is building infrastructure with AI, and the future is uncertain. Recalling Amazon's harsh criticism from 2013 to 2018, Bezos was indeed burning money, but AWS's business model was clear from the start to be B2B monetization. Meta is betting on AGI and open-source ecosystems—no one can say exactly where the moat is. Before this question has an answer, declining cash flow is a knife hanging over valuations. So those in the crypto world and related sectors need patience; tonight's Amazon cloud guidance is the real touchstone. AWS acceleration shows that enterprise AI demand hasn't peaked, and Microsoft's rally can still hold firm. #财报观察员: Amazon's guidance falls short of expectations, but its stock price reverses$SNDK SanDisk Market Overview (as of 12:00 noon on July 31)
After a violent 25.99% rebound the previous day, SanDisk's short-term sentiment has completely reversed, entering a phase of high-level digestion before the market opens. Can this oversold recovery continue into a trending rally?
From my experience watching the market on two lines for several consecutive days, this round of rally is entirely a recovery in sentiment + resonance of cyclical expectations, not the start of a new main rally.
On Thursday, SanDisk closed at $1,279.96, surging nearly 26% in a single day, with a total turnover close to 30 billion and a turnover rate close to 17%.
In my view, ultra-high turnover is very crucial, a typical large-scale high-level chip swap: trapped investors flee early, short-term speculative funds enter in succession, and long-term institutions barely increase their positions.
Combining the on-chain and capital data I tracked, this round of rebound has very strong leverage attributes.
During the sharp decline, large on-chain bottom-fishing addresses surged, and contract positions continued to rise, representing the bottom held by leveraged funds;
$SNDK After yesterday's sharp rise, on-chain take-profit transfers increased significantly, and funding rates fell, indicating that short-term arbitrage positions have started to be cashed out in batches.
Genuine long-term whale addresses remain locked and wait-and-see, with no trend-level increase signals.
From the perspective of track research, this rally is based on two main logics.
Microsoft's better-than-expected AI earnings stabilized cloud vendors' purchasing expectations and offset the biggest negative factor of the storage demand collapse;
Combined with production controls by the three major OEMs, the continuation of flash memory price hike cycles, and SanDisk's fundamentals supporting over 40 billion yuan in long-term locked orders, capital is willing to revalue oversold stocks for recovery.
But I clearly see: there is no new incremental fundamentals; only pessimistic expectations have been repaired.
Trading tips: The roller coaster market of the past few days reminded me once again.
During sharp drops, retail investors panic and buy at the bottom; during sharp rises, retail investors chase the highs to buy in, completely reversing the flow of capital flow.
I maintained a wait-and-see approach throughout, buying on dips, avoiding chasing highs and avoiding the high-volatility trapping rally during the day.
As of noon today, SanDisk surged to $1,354 before market trading before stagnation and weakening, with its upward momentum clearly exhausted.
The overall sector cooled in tandem, storage collectives rested and consolidated, funds began to avoid high-cyclical speculative markets, and flowed back into stable hardware tracks.
My core market view is clear: right now it's an oversold rebound + sentiment recovery, not a cyclical reversal.
$SNDK Above $1400–1450, there is heavy resistance to trap the market, with high-level fluctuations and repeated shakeouts as the main trend going forward.
After a short-term rally with strong sentiment, can SanDisk really break through the pressure and sustain its rally? #PCE环比转负, GDP growth slows to 1.5% #财报观察员: Amazon's guidance fell short of expectations, yet its stock price rebounded by 9% #微软单日市值增近4500亿, setting a record for US stocks The US spot BTC ETF has resumed net inflows for two consecutive trading days, and BTC has returned to around $64,600, but the price has yet to effectively break through $65,000. This indicates that although the direction of funds has improved, the forces needed to drive a trending rally have not yet fully formed. 1. ETF inflow scale remains small. On July 29 and 30, BTC ETFs saw net inflows of $32.1 million and $48.2 million respectively, totaling about $80.3 million over two days. Compared to the net outflow exceeding $465 million on July 23 and 24, the current scale of inflows remains limited, indicating that selling pressure has eased, but not enough to confirm large-scale institutional re-allocation. 2. Spot trading volume has yet to significantly expand. Glassnode pointed out that although BTC is consolidating around $64,500, spot trading remains weak, and the short-term upward trend is slowing. The current rally relies more on stable chips and derivative funds rather than strong active spot buying. 3. Short-term capital ratio rises, making market volatility more likely. Glassnode also noted that short-term, price-sensitive capital is increasing in the market. Such funds can accelerate rebounds or quickly exit when prices hit resistance, making the market more sensitive to momentum changes and selling pressure. 4. ETH and SOL do not form synchronized resonance. ETH ETFs still recorded slight net outflows, with SOL ETFs seeing zero funds for two consecutive days. Funds only saw slight improvements on the BTC side, without spreading to ETH and SOL, indicating overall riskThe direction hasn't changed. This round of decline is essentially a chain reaction triggered by the US and Japan jointly intervening in the foreign exchange market and the short-term appreciation of the yen, rather than a trend reversal. The intervention is limited to verbal price inquiries and is of limited strength. Bitcoin is under short-term pressure but this does not change the medium-term direction. The bottom at 54000 has already passed. The most dangerous checkmates on the board often hide in the thirty-seventh move, when your opponent thinks you've already been defeated. KOSPI dropped 17% in three days, then surged 14% in the next day. This isn't a dead cat jump, but a counterattack with a 40-step depth hidden behind a dropped piece.
Three days of overcast fall, which is the false sway of the rear wing; The sudden surge in one day was Wang Yi's stabbing momentum. The grandmaster never looked at the remaining clock on the chess clock, only relying on the calculations behind the seven layers of depth. Those who truly make money have already calculated the result of the twentieth move before making a move. SK Group Chairman Chey Tae-won bought a Hynix for the first time, a move called the "king's shift" in the game records—when the most conservative kings leave the castle, it means the king's attack is already settled; US memory stocks rebounded in tandem, like opening up online for two vehicles to connect and protect each other; The Bank of Korea's rare exchange rate intervention was to pause the clock for two seconds—then let the opponent place their move while suffocating.
Hynix is 28% in a single day, 26% for three stars. This isn't Scaramouche's random rampage, but three pieces targeting one slot simultaneously: the exposed boss. A true player understands that when a gap appears in the opponent's royal castle, the most rational move is not to rush to capture the enemy's pawn, but to turn every move into a lasso. The rise and fall of memory chips is actually the most typical central battle in the middle game—whoever controls the memory benchmark price controls the endgame's road path. Just like that move that seemed like a blunder to send the queen, the outsider saw boldness, but I saw the rear general controlling the entire game on the seventh horizontal line after five moves.
But the underlying currents on the chessboard are always hidden within leverage. The single-share leveraged products launched in May are like two stacked pawns—seemingly ready to charge into battle, but disrupting the balance of the entire chess game. The zigzag chart of XSKHY, KR200, and SAMSUNG is overclocked and flipped at every step. The essence of leverage tools is to compress a middle game that would normally take a month into a three-minute lightning battle. Human players have no time to calculate and can only rely on intuition. But intuition in the market is often the most expensive mistake. These accelerated times make every fluctuation feel like a byoyomi, and the moves made during byoyomi are rarely precise.
Now look at $XDELL—it's like an isolated car that only has value on an open line. The US-Korea storage collaboration is a classic 'windmill' strategy in chess: you move first, I entangle; You stay quiet, I tune in. $XDELL see not just simple follow-up, but also pawns where global capital is synchronously mobilizing the rear wings. When the Korean market jumps like a bomb, the U.S. target is certainly not a bystander, but another clock sitting opposite each other in the same game. Both chess clocks have different speeds, but they follow the same set of game records.
The Korean won exchange rate, storage chips, and policy interventions—these three elements resonate at the same moment, earning a name on the game record: forced move changes. You can't resist, so you can only calculate the cost of the next step. KOSPI's surge may seem overwhelming, but the real winner is not on today's chessboard, but in the midgame entanglements over the next ten days. A 14% rise can go down in history, meaning the bears have been penetrated, but the entire bullish formation is exposed to counter-aiming guns. When five overlapping channels appear on the board, what I see is not a triumphant victory, but the final silence before the general. #kospisurges14%BTC has returned to 64,400. It was still at 64,800 in the morning, but by noon it was smashed back. Over the past half month, this scenario has played out repeatedly—hitting 65,000-66,000 and getting smashed, dropping to 63,000-64,000 and then getting accepted. Tugging back and forth, the direction was unclear. To be honest, this position made me feel uncomfortable. Moving upward, 65,000 has failed three attempts, each time pushing back and pushing back, indicating obvious selling pressure above. Downward, near 63,000, there are $482 million long liquidations; if it falls below that, it will trigger a chain reaction. Major players have net increased their holdings by over 60,000 BTC in the past 60 days, ETF funds are also flowing back, and Blackstone IBIT has started net inflows. But the 65,000 mark just can't be crossed; the market seems to be waiting for something—waiting for a clearer signal, for a breakout catalyst, or for a reason to sell. Coinglass's data is straightforward: $567 million in short positions above 66,000 are waiting to be liquidated, and $482 million in long positions below 63,000 are waiting for forced liquidation. Both sides hold large leveraged positions; whoever moves first steps on a landmine. This kind of sideways movement will not last forever. Historical data shows that after the low volatility phase ends, a trending market is inevitable—either surges or plunges. Personally, I believe the probability of a breakout is slightly higher. But "thinking" and "taking action" are two different things. Before seeing a surge above 65,000, chasing in is a gamble. If you bet right, you get a win; if you bet wrong, you take the bet. So my strategy is veryARB: Robinhood has passed the torch, can the L2 veterans catch it? On July 31, 2026, Beijing time, external public quotes showed ARB at about $0.0775. This price may seem quiet, but behind it lies anything else: Robinhood Chain mainnet launch, on-chain trading heating up, L2 revenue sharing, DeFi incentives—multiple lines have simultaneously pushed ARB back into the spotlight. (1) Robinhood Chain is one of the most prominent catalysts for Arbitrum this year. According to official information, Robinhood Chain launched its public beta mainnet on July 1 as a dedicated Arbitrum chain for settlement to Ethereum, with over 200 million transactions processed during the testnet phase. CoinDesk reported that Robinhood's on-chain trading boom reached $568 million, causing ARB to spike at one point. For ARBs, this is not an ordinary partnership, but a showcase of a "broker-level entry + L2 tech stack." (2) The appeal of ARB is not just hype, but the relationship between revenue and ecosystem. Arbitrum forum data mentions that 8% of Robinhood Chain-related revenue sharing goes to ArbitrumDAO and 2% to Robinhood Chain treasury. This means if the user is realLINK: The oracle is not a supporting player; it may be the gateway for institutions to go on-chain. On July 31, 2026, Beijing time, external public quotes showed LINK at about $7.47. Many people complain that LINK is slow or not flashy enough, but on the path of putting institutional assets on-chain, slow variables are often the scariest: they don't set off fireworks every day, but they might control the power switches of entire buildings. (1) The core of Chainlink is not "storytelling," but connecting the off-chain world on-chain. Coinbase and Chainlink bring exchange data on-chain, with official sources claiming this data supports multi-billion dollar trading activity. For ordinary traders, this phrase is dull; But for DeFi, perpetual, lending, and RWA pricing, data sources are the foundation—if the foundation is crooked, all the tall buildings will be crooked. (2) Robinhood Chain uses Chainlink as the official data and cross-chain oracle infrastructure, which signals a strong impact. Robinhood targets equity tokens, cross-chain assets, compliance entry points, and mass users. If more brokerages, payment companies, and RWA issuers move assets on-chain in the future, their biggest concern is not fees, but issues with price, cross-chain, and settlement data. LINK's value lies in this "extremely high cost of errors." (3) The biggest issue with LINK is clear: strong fundamentals don't mean the token will fly away. Oracle revenue, staking economy, fee capture, institutional usage are all requiredSOL: This high-speed chain is being reignited by "real money." On July 31, 2026, Beijing time, external public quotes showed SOL at about $77.97. Note, this article isn't about selling orders, but about breaking down the three most noteworthy hidden lines for SOL right now: payments, RWA, and institutional traffic. (1) The hardest narrative: not "fast," but "real money on the chain." In the Solana June ecosystem review, RWA scale surpassed $3 billion for the first time, tokenized stock transactions surpassed $10 billion, and weekly tokenized stock transactions once reached $1.29 billion, accounting for about 95% of similar transactions across the chain. This is not a slogan for retail investors; it means on-chain financial activity is concentrating into low-latency scenarios. (2) The payment line is turning from a story into a business. South Korea's major payment platform KG Inicis announced plans to bring stablecoin payments to Solana; Previously, clues about Western Union, bank stablecoin issuance, and merchant settlements also continued to emerge. For SOL, the most exciting thing isn't a sudden surge one day, but that if "high-frequency, small-scale, cross-border, 7x24-hour settlement" really starts to see volume, the network will be forced to reprice. (3) Why hasn't the market gone completely crazy yet? Because traders have been educated by too many "high-speed chain narratives." Fast speed doesn't mean price increases, and ecosystem heat doesn't mean tokens will be sucked up immediately. Key observations for SOL are: stablecoin supply, RWA transactions, on-chain transaction fees, and DEX depth"On-chain data" and "technical indicators" are two completely different dimensions—the former uses UTXO as the algorithm, the latter based on volume and price—but in many cases, they resonate.
Perhaps because different paths share the same path, at the "right time," they all point to the same result.
For example, in our July 29 tweet, we mentioned that BTC's realized net profit and loss curve had two extreme negative values in February and June, showing a major divergence from the price (see quote).
This is a signal interpreted from on-chain behavior that signals "seller exhaustion and net losses converge." At this time, similar signal guidance has appeared in the technical indicators.
The trend-following CCI indicator has shown a weekly oversold signal (red dot). In the past five years, this signal has appeared four times: November 2018, March 2020, June 2022, and November 2025.
The oversold signal only represents the intensity of the "moment"; what truly matters is the continuous convergence of the curve afterward, which diverges from the price.
Additionally, if further signals of "downward momentum exhaustion" emerge in the subsequent process, it indicates that the downward momentum is gradually being digested.
I understand it as a precursor to a trend shift; Although slow, the direction is clear.
Combining "on-chain data" with "technical indicators," the conclusion is:
1⃣ The major downtrend is nearing its end, and this is certain.
2⃣ The only uncertainty is "whether there will be a black swan like in November 2022," which is merely a reaffirmation of CCI's ongoing divergence.
3⃣ The "final drop" caused by cross-margin betting on black swan is irrational; this is not trading, it is gambling.
4⃣ At this point, there is no reason to be overly bearish. Time will not side with the bears.😎SK Hynix ADR ($SKHY) is currently priced at about $156.5, in the oversold rebound phase after its Nasdaq listing on July 10, halved from a high of 194.8 to 124.8 (closed at 149 yesterday, +17.5% for the day). Short-term recovery and long-term bullish positions remain unbroken, but ADR premium risk remains.
📊 Technical Position (USD)
Resistance (1): 159–162, first resistance above 150.36 during trading on July 30 + short-term closing zone.
Resistance (2): 164.38, 52-week swing at 61.8% Fibonacci level, strong technical resistance.
Resistance (3): 168–170, ADR first-day closing area + near the 20-day MA, breaking out and turning strong.
Support (1): 151.30, 52-week low + July 29 panic low at 124.8, with concentrated trading below the lower boundary.
Support (2): 149, ADR issue price, the last line of defense for bulls.
Support (3): 145.57, absolute 52-week low, only seen on extreme dips.
🚀 Positive
(1) HBM holds about 58% of the global market share; HBM4 shipments to NVIDIA Rubin, capacity sold out by 2026, long-term contracts locked to 2027.
(2) Q2 revenue was 79 trillion KRW, operating profit was 60.54 trillion KRW. Although the year-on-year surge was slightly below expectations, it still remained at a historical high.
(3) 40 institutions cover 95% of buys, with an average target price of $226.4 and a high of $351.91, indicating significant long-term revaluation potential.
⚠️ Bearish
(1) Q2 revenue and profit both fell short of expectations, and traditional DRAM benefited less from price increases than peers, plunging 8% after the earnings report and after-hours trading.
(2) ADRs once exceeded a 40% premium relative to Korean stocks, and after the two-way conversion opened, premium compression brought additional selling pressure.
(3) Samsung catching up with HBM4 certification + Micron/Changxin expanding production, 2027 supply release concerns suppressing valuation multiples of cyclical stocks.
📈 Performance Guidance (Company Disclosed on July 29)
$SKHYNIX Q3 DRAM shipments +10% quarter-on-quarter, NAND shipments +0.0 low single digits (1%–4%); Significantly expanded HBM4 capacity in the second half of the year; Signed LTA long-term contracts with 10 major clients, with differentiated pricing and smooth cycles. The next financial report is expected to disclose Q3 by the end of October.
🏦 Wall Street target price
$XSKHY 40 institutions covered, with 95% buying/increasing holdings. The average price is about $226.4, with a high of 351.91 and a low of 106.06. The 156.5 price is about 45% above the average price and about 125% above the highest target. After converting the Korean stock market to the investment bank discount premium, the effective target range is wide, and the high premium on the ADR side results in an actual margin of safety lower than the Korean stock caliber.
💡 Trading perspective: 156.5 is stuck between the 151 issue price support and the short-term resistance at 159. Standing at 159, expect a rebound between 164–168, losing 151 and pushing toward 149. ADR has been on the market for only three weeks and its chips are unstable. Avoid directly shifting the Korean stock target price to US stocks, and use the 151 gain/loss as a short-term long-short switch. In the long term, HBM's long-term contract logic remains unbroken, but caution is needed to prevent a double blow from converging premiums. #PCE环比转负, GDP growth slows to 1.5% #财报观察员: Amazon's guidance fell short of expectations, yet its stock price rebounded by 9% #微软单日市值增近4500亿, setting a record for US stocks On AI earnings night alone, the most unexpected scene unfolded. The only one that surged was Microsoft. Both bet on AI, same massive investments, and the same burn of cash. But Wall Street gave Microsoft applause, while other companies took a different stance. There is only one reason. Microsoft has proven that AI not only enhances products but also continuously generates revenue. Azure continues to grow rapidly, with more and more enterprises deploying AI on Microsoft Cloud; Copilot is beginning to become a paid tool for enterprises, and AI investment is turning into real money. The capital market never rewards investment. What it rewards is cashing out. After last night, the standards for AI competition have changed again. It's not about who has a stronger model, nor who spends more money. It's about who can turn AI into stable cash flow first. Microsoft's surge isn't because AI tells the best story, but because it was the first to turn stories into business.$QQQ $XQQQ Hold long-term and buy with regular installments—^_^ you won't regret it afterward."
Invesco QQQ Trust (ticker: QQQ) is an exchange-traded fund (ETF) tracking the Nasdaq-100 Index, primarily holding the 100 largest non-financial companies by market capitalization on the Nasdaq Exchange, excluding financial sectors.
Below is an analysis of relevant information as of July 31, 2026:
1. Recent market performance
Latest stock price: As of the close on July 30, 2026, QQQ's price was $683.55, up about 3.30% in a single day.
Recent volatility: The fund experienced significant volatility in July, with a single-day gain on July 30 effectively offsetting previous days of declines (for example, a 2.04% drop on July 29). Its 52-week stock price ranges from $551.68 to $748.65.
2. Core Features of QQQ
High industry concentration: Due to the index characteristics it tracks, QQQ holds a large number of large-cap technology and growth stocks. Its top ten holdings typically include giants with leading positions in AI, cloud computing, and data centers, such as Apple, Microsoft, NVIDIA, Amazon, and Meta.
Volatility: Because it focuses only on 100 non-financial companies and is heavily weighted in the technology sector, QQQ's volatility is generally higher than ETFs tracking the S&P 500 (such as SPY), making it highly sensitive to market interest rate changes and tech stock sentiment.
3. Key points for future observation
Sustainability of AI spending: The market is currently highly focused on the capital expenditure forecasts of major cloud giants (such as Microsoft, Google, Meta) for AI infrastructure. Any sign of these giants cutting budgets could put pressure on QQQ's stock price.
Macroeconomic environment: As a representative growth fund, QQQ is highly sensitive to interest rate trends. The market generally expects monetary policy adjustments to support growth tech stocks.
Risk factors: Although QQQ is seen as a popular tool for participating in tech growth trends, investors should still pay attention to its valuation levels. If the market intensifies valuation corrections for tech stocks, the corresponding stocks' linkage effects will be directly reflected in the ETF's net asset value. In just three trading days, there has been a rollercoaster rally of plunge, reversal, and surge. As of 12:00 PM Beijing time today, the overall divergence pattern among $SNDK US tech stocks has been fully set, with the logic for capital picking increasingly stringent. I have thoroughly summarized the details of the entire market based on my recent observations.
🔹 Overview of the overall market of the main index
Reviewing the full timeline: In the past two days, the Nasdaq has been continuously falling due to hawkish expectations from the Federal Reserve and rising US Treasury yields, with tech growth stocks collectively selling off valuations; On Thursday night, US core PCE inflation data cooled slightly, with market expectations for rate cuts briefly warming up, and all three major indices closing higher sharply.
$MU Thursday's close: the Nasdaq surged 2.78% in a single day, while the Nasdaq 100 surged to 3.36%; The S&P 500 rose 1.66%, the Dow Jones gained 1.19%, and growth stocks rebounded far more strongly than the value-heavyweight sector Securities Times.
As of 12:00 noon today (Friday's pre-market session), Nasdaq futures opened slightly higher but entered a consolidation phase. After consecutive sharp gains, bulls began to consolidate their offensive, but the market did not continue to rise. Overall, the focus was on digesting yesterday's huge profit-taking positions, and bulls and bears entered a brief tug-of-war.
🔹 The seven tech giants are extremely fragmented, with profit realization becoming the sole criterion
$SKHYNIX Currently, leading tech companies are experiencing polarization, with capital completely abandoning platform companies that only burn money to build AI and fail to realize profits, and instead embrace targets with controllable capital expenditures and real revenue growth:
Microsoft was the absolute core benchmark for this rebound, surging 15.51% in a single day on Thursday, marking the largest single-day gain in nearly 18 years. Azure's cloud business is steadily growing, management is rationally controlling AI investment, no longer burning cash for expansion, and earnings certainty has attracted institutional funds. Its market value surged by over $400 billion in a single day, directly stabilizing the entire tech market and driving it upward.
Nvidia, Amazon, and Tesla followed with slight gains: Nvidia closed up over 2% on the demand for computing chips, while its resilient Amazon Cloud business rose nearly 4%. Tesla benefited from a recovery in consumption, rising over 3%, with a steady and moderate trend.
In contrast, social and consumer sectors weakened throughout: Meta plunged nearly 8%, continuously ramping up AI R&D to eat into profits, cash flow pressure, and capital sell-offs; Apple fell slightly over 1%, as weak consumer electronics demand dragged down valuations; Google's slight drop of less than 1% means excessive investment in large models, and its performance growth lags behind the impressive hardware sector.
During today's pre-market phase, all seven major players maintained narrow fluctuations. After the sharp rise, capital was cautious and did not see a large influx of new new funds.
🔹 Computing hardware main themes: Storage chips and optical communications led the gains, with the strongest continuity in the counter-trend trend
This is also the core sector we continue to track. After a deep correction in the past two days, Thursday saw a rebound, with the entire industry chain in the green. Even today's pre-market consolidation, the sector's confidence for going long remains strong:
The memory chip sector saw the most sharp gains
SanDisk surged 25.99% in a single day, closing at $1,279.96, with a huge single-day swing and a turnover rate approaching 17%, with large-scale exchanges of shares at the highs; Micron Technology rose 18%+, SK Hynix gained over 17%, and Western Digital surged around 15%. Securities Star.
The underlying logic behind the rise is firmly based on two points: first, the three major foundries continue to shrink wafer capacity, and the price hike cycles for DRAM and NAND flash memory are being realized month by month; Second, demand for AI server storage continues to expand, with leading cloud vendors signing multi-year long-term supply orders in advance, completely breaking free from the constraints of traditional consumer electronics cycles.
I observed during the session that even with yesterday's sharp rally, long-term institutions did not cash out on a large scale; instead, short-term speculative funds were fluctuating in price differences, and the medium- and long-term consensus in the sector remained solid.
The optical communications sector has steadily followed the rise, showing its resilience to declines
Leading stock Lumentum rose over 15% on Thursday, with the entire optical device supply chain rising in tandem. With the widespread adoption of 800G optical modules and the gradual ramp-up of 1.6T new products, the essential need for computing power cluster interconnection is irreplaceable, and order visibility can cover the next two years.
Compared to memory chips, Optical Communications has shown much smoother trends with smaller drawdowns. In a volatile market, funds treat it as the core asset of the AI sector. Today, it consolidated slightly sideways before the market opened, with no signs of profit-taking or plunge. Securities Times.
In addition, AMD surged 13%, Intel gained over 11%, and computing power CPUs and foundry chips all rebounded. The Philadelphia Semiconductor Index surged over 8% in a single day, dispelling the shadow of previous consecutive declines.
🔹 Personal market observation and current market outlook
This roller-coaster rally has made me increasingly aware of current U.S. stock capital preferences: the market has long moved beyond the general rally phase, no longer blindly speculating on AI concepts, and only recognizing upstream computing hardware that can deliver stable revenue and cash flow.
Software social and consumer terminal companies face sharp declines at the slightest performance pressure, while computing infrastructure consumables like storage and optical communications always manage to reverse the trend by relying on rigid demand.
In the short term, after yesterday's surge in single-day gains, the whole day is likely to be dominated by volatile digestion and profit-taking. Memory chip volatility will remain intense, while optical communications will remain relatively stable;
The medium- to long-term market remains constrained by the Fed's rate cut pace. As long as inflation does not continue to decline sharply, the high interest rate environment will repeatedly disrupt tech stock valuations, and the sector will maintain a volatile pattern of sharp rises and falls.
On one side, profit-driven tech leaders led by Microsoft are stabilizing; on the other, storage and optical communication hardware are grouping upward. The market differentiation will continue. How should we control the pace of switching between high and low points next?#苹果第三财季业绩超预期, the stock price plunged sharply after hours
Honestly, when I saw Apple's performance last night, my first reaction wasn't analysis, but a bitter smile.
Because I'm all too familiar with this feeling—earnings beating expectations, but stock prices fall. I've experienced this more than once, and every time I was taught quite badly.
Let's first talk about what happened to Apple last night
To put it simply, in three sentences:
• Earnings report: EPS $2.02, exceeding expectations ✅
• Future guidance: Next quarter's revenue will only grow by 9%-11%, and the market feels this is not strong enough ❌
• Another danger: supply constraints will "increase significantly" ❌❌ going forward
So what happened? After hours, the stock price immediately reversed and turned downward.
Looking at this trend, you might wonder: isn't the performance pretty good? Why is it still dropping?
The first time I was taught about a "better-than-expected rebound" was on a consumer stock
That was several years ago, when a company I held a position reported earnings with profits nearly 20% higher than market expectations. I was so excited at the time, watching pre-market trading at night, thinking, 'Shouldn't it have to rise by at least 5% tomorrow?'
But the next morning, the stock opened 2% higher, then crashed all the way down, closing down 4%.
I was completely stunned, my mind full of question marks: With such good performance, what are you selling?
Later, I slowly understood a truth—
The stock market is not about "how good the past was," but about whether the future will be better.
It's like you scored 95 on a test, and the whole class thinks you're impressive. But if the teacher knows that your next exam will be harder and your recent form hasn't been great, then everyone's expectations of you will change. The stock market follows the same logic.
Back to Apple this time
Apple earned $2.02 this quarter, which is indeed a good performance. But the problem is, when people buy Apple stock, especially this year, their minds are always on one thing: when will the AI phone replacement wave arrive?
The signal Cook gave this time was actually very clear:
• Next quarter growth of 9%-11%, not bad, but no surprises either
• Supply constraints are getting heavier, meaning even if you want to sell, you might not be able to sell
In plain terms: don't expect the iPhone 16 series to be a huge hit in the short term; the upgrade benefits brought by AI may come later than people think.
So it's no surprise that the stock price dropped. Because many people buy Apple betting on the story of "AI phone replacement." The story didn't progress as quickly as expected, so the funds were withdrawn first.
My mindset has changed a lot now
When I saw "unexpected declines" before, my first reaction was to buy the dip, thinking the market was wrong—how could such good performance fall?
Now my first reaction is to wait and see, and ask myself a few questions:
• Is this year's good performance a coincidence or sustainable?
• Weak guidance—is it a short-term disturbance or a change in trend?
• Does the logic I made before still hold up?
Just like this Apple purchase: if you bought it because of the "AI phone replacement wave," then supply constraints + weak guidance really make it worth reassessing the timeline. But if you are long-term optimistic about Apple's ecosystem and stable dividends, then these fluctuations may not be a big deal.
The key is, you need to know why you bought it.
Finally, I want to ask everyone
Have you ever experienced a "better-than-expected decline"? How was it handled at that time? Should they hold out, cut losses, or take advantage of the situation to add to their positions?
After suffering losses a few times, I now feel even more nervous when I see good results—not bad performance, but good performance but no future story.
Amazon is also about to announce its results tonight. After seeing Apple's results, I'm definitely more cautious. Right now, the market's expectations for the giants are too high; even a slight misstep could easily lead to a crash.
What about you? Have you ever experienced being taught a "worse reversal than expected"? Let's 👇 chat in the comments Yesterday, $SNDK made a profit but $SKHYNIX incurred losses, and its current holdings are very balanced.
Today is the first order, the first to get rich by doing counterfeit business; Short $MMT.
Look at this market: MMT jumped straight to 0.2923 today, up 33.01% in 24 hours and 63.77% in 7 days.
It jumped from 0.185 to 0.2988, a really strong rise.
But MMT's all-time high was $4.16.
It fell from 4.16 to 0.09, a decline of 97.8%.
Now it's down to 0.29, not even a fraction of the mark. This rebound from the deep pit is nine out of ten times a chance to lure the sellers to sell long.
The project team's November 2025 TGE plunged 86% from nearly $4 within 48 hours of launch, with liquidation amounts reaching $114 million. The same group of people, the same team—how do you think this time will be different?
Now, let's look at the market details.
The 24-hour trading volume was 82.6M, with a turnover rate as high as 45%, but after reaching 0.2563, the price fell back to 0.2501, closing the daily chart with a long upper shadow.
Although it continued to climb to 0.2988 today, signs of increased volume and stagnation at high levels are becoming increasingly apparent.
The 1-hour RSI surged to 89, the 4-hour MACD histogram is still expanding, and the bullish momentum hasn't faded, but the price can no longer rise. A typical candlestick pattern of pushing up and selling high.
The chip structure is even more painful.
Currently, the circulating supply is only 20.41%, with a total supply of 1 billion tokens, nearly 800 million still locked up.
On August 4, there are still 12.53 million MMT to be unlocked, valued at about $2.26 million.
The unlock is set for August 4th, and now the price is rising—isn't this just creating better selling points for the unlocked chips?
Short selling isn't betting on it falling, but betting it won't return to 4.16.
Short 0.29, stop loss 0.31, first take profit 0.26, second take profit 0.23.
The harder you pull, the harder you smash. 🧋💀
#PCE环比转负, GDP growth slowed to 1.5% #财报观察员：亚马逊指引不及预期，股价却反涨9%
Amazon's recent move is quite interesting; despite guidance missing expectations, the stock jumped 9% after hours.
Q2 revenue hit 200.6 billion, up 20%; AWS took off with 42.2 billion, up 37% (the fastest since the end of 2021), and profit margin reached 39.4%. However, full-year Capex was raised to 220 billion, and Q3 guidance is also on the low side. Logically, they should be investing heavily, but the market doesn't care at all—as long as cloud keeps accelerating, burning money is just bookkeeping.
Personally, I think AWS's acceleration is solid; there is real AI-driven demand spending money, not just empty promises. Microsoft has already delivered, Meta is still making promises, and Amazon is burning cash while earning. The 220 billion is indeed a big number; in the future, they will need higher utilization or more expensive services to pay it back, but right now the market clearly prefers the story of "growth is still accelerating."
In the short term, AWS will likely maintain high growth, and the stock price will follow sentiment. In the medium term, it depends on whether growth and profit margin can both rise after the money is spent. If they can, valuation can be pushed higher; if not, that 220 billion will become a burden.
For the market, this logic of "forgiving high Capex if there is solid proof" will continue, with companies like Microsoft and Amazon being relatively strong. Pure concept plays shouldn't be too optimistic.
What do you think? Do you believe AWS represents real demand, or are you worried that the 220 billion will have to be paid back sooner or later? Feel free to chat.Amid the volatile market, both memory chips and optical communications have risen against the trend. The opportunities and risks of these two AI hardware main lines differ. How should one choose and position in daily trading?
$MU $SNDK $AAPL
Recently, I've been closely monitoring the rotation of major US stock sectors every day, reviewing my holdings over the past period, and discussing the opportunities and risks in these two sectors, as well as practical trading strategies.
🔹 Storage chip sector: Cycle reversal combined with rigid AI demand, market elasticity is maxed but volatility is highly tested
Let's first talk about the core reasons why the entire sector has continued to strengthen.
The storage downturn cycle caused by the consumer electronics downturn over the past two years has completely ended. The three major foundries—Samsung, SK Hynix, and Micron—have all proactively cut wafer production capacity and tightened overall supply.
Meanwhile, demand for AI server installations continues to surge, with increasing memory and flash capacity in servers, and prices for DRAM and NAND rising for several consecutive quarters, with expectations for price hikes being fully realized.
SK Hynix recently bucked the trend by surging over 5%, directly driving a broad recovery in US stocks like Micron and SanDisk. Essentially, this is a move by capital to aggressively gamble on the performance growth driven by annual storage price hikes.
More importantly, AI demands have completely changed the original cycle logic of storage.
In the past, storage performance was entirely tied to phone and computer sales, with large fluctuations during peak and off-peak seasons; Today, the proportion of data center business revenue continues to rise.
SanDisk holds tens of billions of dollars in long-term supply orders, with clients being leading cloud providers like Microsoft and Google. Its revenue base is firmly locked in for the coming years, and even amid repeated market fluctuations, the company's profit stability has greatly improved.
Combined with the previous hawkish Fed suppression and a deep sector correction, valuations are at cyclical lows. As expectations for rate cuts gradually heat up, institutional funds continue to replenish positions, opening up room for a rebound.
But during the trading process, I clearly felt the risks in this sector.
Storage is ultimately a typical cyclical category. Once OEMs see profits recover and large-scale expansion, the supply-demand balance will quickly reverse. After the price hike ends, stock prices will fall very quickly.
Coupled with the Fed's repeatedly fluctuating rate cut pace, high interest rates occasionally suppressing valuations of long-term stocks, causing sector fluctuations to rise and fall rapidly.
In just a few days, SanDisk experienced a sharp rise and fall, with huge turnover at high levels and mounting pressure to realize short-term profits. Blindly chasing the rally can easily trap you at a temporary high.
For daily swing trading, I prefer to wait for market pullbacks and sector pullbacks to buy on lower prices in batches, never chasing consecutive bullish candles, relying on cyclical price increases for range-bound arbitrage.
🔹 Optical Communication Sector: Essential demand for computing power, more stable trend, suitable for long-term base positioning
Optical communication can maintain an independent market trend against the trend for a long time, relying on the hard demand for clustered interconnection of computing power.
Large model training and building large computing power parks rely on high-speed optical modules for data transmission. Currently, 800G products are becoming widespread, and new 1.6T products are gradually ramping up.
As an upstream core optical device manufacturer, Lumentum is deeply tied to major overseas cloud vendors and computing power companies. Orders can be locked in for the next two years, making performance performance highly certain.
Compared to storage, the biggest advantage of this sector is its strong resistance to declines.
When the market weakens and tech stocks become deeply divided, funds tend to flow into these computing infrastructure hardware as safe havens.
Unlike social media or software companies that rely on advertising revenue, its computing power and consumables attribute makes cash flow especially stable, with drawdowns far smaller than memory chips, making it much better to hold in volatile markets.
Overseas cloud providers invest fixed funds every year to upgrade network infrastructure, so demand does not easily plummet, and the entire sector has a slow bull market foundation.
However, its shortcomings are also quite obvious.
Currently, many companies in the industry are rushing to produce high-speed optical modules, and in the next year or two, the industry is likely to enter a phase of overcapacity. Companies will fall into price competition, gross margins will gradually be squeezed, and profit growth will be limited.
Moreover, the segment size of the sector is relatively small, making it difficult for stock prices to break out of the storage surge that saw a single day's sharp rise. The pace of the rise is slow, and short-term arbitrage flexibility is lacking.
🔹 Personal Dual-Line Holding Experience and Overall Market Outlook
If you can withstand large price swings and want to seek short-term excess returns, focus on memory chips and position yourself during pullbacks;
If you pursue stable holdings and don't want to be consumed by severe volatility, treat optical communications as a long-term reserve in the AI sector to hedge against overall account drawdown risk.
The common foundation behind the rise in both sectors is the continued expansion of AI computing power + expectations of loose US dollar liquidity.
If the Fed tightens monetary policy again, or if cloud providers drastically reduce computing power procurement budgets, both main themes will undergo simultaneous adjustments.
On one hand, there is a highly elastic roller coaster market driven by cyclical price increases; on the other, a steady slow bull market supported by computing power infrastructure. Allocation based on one's risk tolerance is better suited to the current highly differentiated U.S. stock market. #PCE环比转负, GDP growth slows to 1.5% #财报观察员: Amazon's guidance fell short of expectations, yet its stock price rebounded by 9% #微软单日市值增近4500亿, setting a record for US stocks The Bank of Japan kept interest rates unchanged by an 8:1 vote, in line with market expectations.
But it is worth noting: rate hikes will continue depending on the situation.
This indicates that Japan has not ended its rate hike cycle but has simply chosen to continue monitoring the data.
Why focus on Japan?
Because in recent years, a large amount of low-cost global capital has come from the yen.
If Japan continues to raise interest rates, financing costs will rise, and some funds may flow back to Japan, impacting global risk asset liquidity to some extent.
However, as of now:
Interest rates remain unchanged, with limited short-term impact; However, expectations of rate hikes remain, and further attention should be paid to Japan's inflation, wage growth, and central bank statements.
What truly affects the market is often not whether there will be a rate hike this time, but whether it will be next time.
For risk assets like BTC and US stocks, every statement from the Bank of Japan deserves continued attention.The market finally showed its hand today: AI infrastructure is back in focus. 👀
The biggest theme right now is clear:
Money is rotating back into AI hardware.
South Korea is leading the move.
Samsung Electronics and SK Hynix are driving the KOSPI higher as investors return to the semiconductor trade.
Japan is also showing signs of recovery, while A-shares are moving more cautiously after yesterday’s heavy selloff in tech. The key question there is not a big rebound — it’s whether the sector can stabilize.
Overnight, U.S. markets bounced as well.
The main catalyst?
Microsoft’s earnings strength + renewed confidence in chips and memory demand.
But don’t rush to call this a full trend reversal yet.
For now, this looks more like an oversold rebound after excessive selling.
The next few sessions matter.
Watch three areas closely:
🔹 Semiconductors
🔹 HBM memory
🔹 CPO optical connectivity
The real signal isn't how high the market can bounce.
The real signal is:
Can these sectors stop falling and build a solid base?
A healthy recovery starts with stabilization first.
Just observing the market flow — not investment advice.
#DailyOrbit This time, the Bank of Japan kept the interest rate steady at 1%, which the market had already priced in. What the crypto community should really be wary of is the emerging internal dissent about raising rates. Some members directly voted against the decision, advocating for a rate hike, specifically pointing out that the depreciation of the yen would push inflation higher. The market has already started betting on a possible tightening again in October.
Many people think Japanese interest rates have nothing to do with $BTC, but that's not true. The yen is a very important global carry trade funding currency. Simply put, institutions borrow yen at low cost, convert it to dollars, and then buy U.S. stocks or crypto assets to earn the spread. If Japan continues to raise rates, borrowing costs will rise, and this leveraged capital will likely choose to close positions and repay debts. Highly volatile assets like BTC and ETH are often the first to be sold off.
Although there was no immediate rate hike this time, the overall tone was hawkish, with an upward revision of economic forecasts and a warning that inflation risks breaking through 2%. This is essentially a warning to the market: the rate hike channel is not closed, just temporarily paused. Additionally, Japan seems to have intervened in the currency market. If the yen rebounds sharply later, carry trades will exit en masse, which could lead to forced sell-offs in the crypto market. Historically, after Japan raised rates, BTC experienced significant pullbacks.
However, there is no need to panic in the short term. This is just an expectation and has not materialized yet. The USD/JPY rate is still above 160, and the interest rate differential between the U.S. and Japan remains large, so carry trades won’t collapse all at once. The real risk point is in October. If Ueda Kazuo continues hawkish rhetoric and rate hike expectations fully materialize, then liquidity contraction could cause volatility.
From a market perspective, this won’t immediately trigger wild price swings but is more like a sword hanging overhead. Contract traders especially should stay alert, as macro uncertainties can suddenly amplify spikes and liquidation events. Going forward, focus on two signals: the tone of Ueda’s press conference and sharp fluctuations in the USD/JPY exchange rate.
Risk reminder: This is only a macro logic review and does not constitute investment advice. In the past two years, whenever major companies were willing to increase capital expenditure (CapEx) and invest heavily in infrastructure, the market would rate them high; But by the second quarter of this year, the market began to rigorously question "free cash flow" (FCF).
From the financial reports of U.S. tech giants, it's clear that when their free cash flow approaches zero or even turns negative, the era of relying on cash on hand for capital expenditures without cost comes to an end.
If CapEx is to continue expanding going forward, it will have to borrow money or raise funds externally, and currently, interest rate costs are 5%-7%. The capital market no longer blindly accepts the "left hand to right hand" capital cycle, but instead begins to question: after investing so much infrastructure, does the downstream really have business flow and real profits to break even?
$XGOOGL $XMETA Wow, seeing PCE drop and then shouting "cut rates immediately" is quite a big 😂😂😂 step. BEA data shows that overall PCE in June fell 0.1% month-on-month and 3.7% year-on-year, but core PCE still rose 0.1% month-on-month and 3.3% year-on-year. PCE is just one of the Fed's key indicators for monitoring inflation; interest rates are also influenced by employment, economic growth, and subsequent inflation trends. For BTC and ETH, monthly data can improve sentiment but cannot replace continuous data confirmation. Simply put: cooling data is a bonus, not a rate cut notice. This is for science purposes only and does not constitute investment advice. #PCE环比转负, GDP growth slowed to 1.5% $BTC $ETH $SKHYNIX $XSKHY As soon as the boss endorsed the show, the stock price immediately became a rocket
1. Recent Financial Reports and Performance (Late July 2026)
Financial Report Hits Record High: The Q2 2026 financial report released on July 29 shows that revenue, operating profit, and net profit all set new company records. Operating profit reached 60.54 trillion KRW (up 557% year-on-year), and revenue increased by 257% year-on-year.
Market Reaction: "Positive Factors Fall Short of Expectations": Despite impressive profits, the reported figures fell short of market analysts' expectations (LSEG estimated 64 trillion KRW). The main reason is that the market originally expected SK Hynix to gain more of the huge profits from the current wave of memory price hikes, but since the company focuses more on high-end AI memory (HBM), the impact of the soaring traditional memory prices has been relatively less comprehensive.
Stock Price Volatility: Following its listing on the US Nasdaq as an ADR on July 10, SKHY's stock price has experienced significant volatility. The closing price on July 30 was $149, indicating investors are locked in a fierce tug-of-war between profitability and concerns about whether AI capital expenditure has peaked.
2. Key points for future observation
Similar to the aforementioned semiconductor giants, SK Hynix's future performance will depend on several core factors:
HBM4 competition and shipments: SK Hynix has begun preparations for HBM4, which not only demonstrates technical strength but is also key to maintaining high profits and high market share over the next two years. Pay attention to whether the speed of customer adoption of HBM4 can offset potential volatility in the traditional memory market.
Long-term supply agreements with customers: The company has signed long-term supply contracts with about 10 major clients, serving as a "moat" supporting its long-term operations. Observing whether more major clients join this agreement in the future will be key to whether the stock price can shed the "cyclical stock" label.
Financial flexibility and expansion strategy: The company currently holds nearly 88 trillion KRW in cash assets, indicating a very strong financial standing. This gives it stronger risk resistance during the semiconductor industry's downturn, but also raises investors' scrutiny of "how to strike a balance between expansion and shareholder returns."
Chip accumulation in US ADRs: As a newly listed ADR in the US, the market is still seeking a stable valuation for SKHY. As the negative earnings test (below expectations) concludes, watch to see if the stock price can find support in the $140-150 range.
Summary and analysis
SK Hynix is currently the "absolute leader in the AI memory field." Unlike traditional semiconductor cycles, its growth momentum is highly focused on HBM required for AI servers.
Your Operational Perspective:
If you are optimistic about AI development, SK Hynix's memory technology is highly interconnected with NVIDIA, making it an indispensable target for participating in the AI hardware cycle.
However, please note that due to current market doubts about "cloud giants' AI capital expenditures," if these customers announce any cuts in spending, memory prices will be more sensitive to price fluctuations than CPUs/GPUs.Although Apple's Q2 fiscal year 2026 earnings report exceeded expectations with revenue of $109.4 billion (up 16% year-on-year) and EPS of $2.02, both exceeding expectations and strong performance in iPhone and Mac businesses, the stock price still plunged more than 5% in after-hours trading. The core reason for the capital sell-off is that both the service business and Greater China revenue fell short of expectations, combined with supply chain shortages leading to weak guidance for next quarter. The market is questioning whether Apple's high valuation and overdrawing and whether its AI strategy can truly deliver the next round of growth, indicating that in the AI era, Wall Street values whether it can break through its pure hardware label and tell a good ecological story for the next decade. $AAPL 109.4 billion in performance was traded for 300 billion in evaporation
Apple just delivered its strongest June quarterly earnings report in history.
Revenue was 109.4 billion yuan, up 16% year-on-year. iPhones sold 54.2 billion yuan, up 22%. Earnings per share were $2.02, nearly 7% higher than expected.
All the numbers say "good."
Then, after hours, the stock price plunged, at one point dropping more than 8%.
Its market value evaporated by over $300 billion overnight. If this decline persists at Friday's close, Apple will have to return the "global stock king" title it just reclaimed.
109.4 billion in performance was traded for 300 billion in evaporation.
You tell me this is called "good"?
What happened?
Performance exceeded expectations, but the guidance for next quarter crushed all the bulls.
Apple's CFO said that revenue growth in the fourth fiscal quarter was only 9% to 11%. What is the market expectation? 12.1%。
How much is the difference? 1 to 3 percentage points.
Just this 1 to 3 points would cost 300 billion.
Wall Street's pricing of Apple is shockingly precise — if you earn even a percentage point, I'll throw you 300 billion.
Where does the core problem lie?
Cook himself said: "A once-in-a-century storage pricing environment."
To put it plainly—AI has skyrocketed the prices of memory and flash storage, and Apple has become the one paying the bill.
Apple has paid higher memory fees for three consecutive quarters. Memory costs in the third quarter were higher than in the second, and even higher in the fourth quarter.
Apple was forced to raise the prices of Macs and iPads. iPhones haven't risen yet—but analysts generally expect prices to rise as soon as new models launch in September.
This year, Apple was once seen by the market as an "AI safe-haven trade"—its expenses were low, but it rose 24%, leading the Big Seven.
Now the logic has reversed.
The memory capacity taken away by AI has become a heavy cost burden for Apple.
What's the most ironic?
That same night, Amazon surged nearly 10% in after-hours trading. AWS cloud business revenue was $42.2 billion, up 37% year-on-year, with AI business annualizing revenue exceeding $25 billion.
The Philadelphia Semiconductor Index surged over 8%. Storage, optical communications, and chip stocks collectively celebrated.
The entire market is celebrating AI.
Only Apple is paying the price for AI.
Others eat meat, but apples get beaten.
When you buy apples, you're buying "stability." It is "certainty." It's the saying, "If it falls, it will always come back."
But today I'll tell you—even Apple can't withstand the cost shocks brought by AI.
In the past three quarters, Apple's memory costs have been higher each quarter than the previous quarter. Cook said the impact of supply constraints in the fourth quarter will be "significantly increased."
What is this called?
This is called the AI boom, which is now eating into Apple's profits.
You bought "AI hedging," but AI becomes your source of risk.
Cook said this was his last financial report.
The farewell script was: winning performance, losing expectations, and a market value evaporating by 300 billion.
The next CEO will take over an Apple that is choked by AI chip production capacity.
Can your position withstand a "once-in-a-century" flood?
$BTC $AAPL $XAAPL #苹果第三财季业绩超预期, the stock price plunged sharply after hours BEAT's price bullish is not a signal but a directionless movement
What is already reflected in prices is stability, and what has yet to be reflected is sustainable buying momentum
The original article views the price fluctuations of some tokens, including BEAT, as closer to a limited capital reallocation than actual demand growth. The lack of trading volume and the decrease in open contracts mean that no new positions are being inflowed to support the price increase. Currently, the market is not a broad altcoin rally, but rather a selective phase where supply and demand are concentrated in specific stocks.
The key to this market is not the leveraged position, but the direction of spot supply and demand.
- Price structure: The rise in BEAT occurs without trading volume, so it is interpreted as a lack of buying support rather than triggering a short squeeze or mass liquidations.
- Derivative positioning: The reduction in open interest means both liquidating existing positions and holding new entries. This reduces directional betting, lowering the possibility of increased volatility.
- Liquidity distribution: Currently, capital is concentrated in specific groups such as JELLYJELLY, OPG, SLX, LAB, BSB, ALLO, CHIP, MEME, EDEN, HUMA, ZKP, and METIS, while BEAT, EDGE, COAI, TRUMP, RAVE, SPACE, SOPH, IP, AVNT, and others are marginalized from supply and demand.
This capital movement is selectively flowing only to specific tokens within a structure where BTC is liquidity-based, ETH is institutional demand, SOL is a high-beta L1, and HYPE acts as a risk appetite gauge. DOGE and ZEC function as indicators of retail participation strength.
An upward scenario is possible when buying with volume flows into underrepresented groups, including BEAT, and BTC maintains a solid support zone. In this case, the current price could be reinterpreted as undervalued.
The downside risk occurs when the current low trading volume persists, causing the price to lose direction, move sideways, and then decline. In particular, if the decrease in open interest continues, attempts to rise may result in no follow-up buying, leading to a larger pullback.
In conclusion, the current market advantage lies in identifying areas where liquidity quietly accumulates rather than chasing upwards. The priority is to confirm supply and demand changes rather than price surges, and the key is to simultaneously verify trading volume and position changes.
One-line summary: Price stability may not be buying pressure; you should read the liquidity accumulation zone before chasing buying.
Risk: With no trading volume, price direction can reverse at any time.
$BEIn an overall market environment still weak, the storage and optical communication sectors have strengthened against the trend. Can the logic of two hardware tracks breaking out independently continue?
Recently, I have been reviewing the rotation rhythm of the US stock sector, and the details of the current counter-trend rally perfectly confirm the current extreme stock picking preference of funds.
🔹 Overview of the fundamentals ✨ of the counter-trend market
The overall market has not experienced a broad bull market; most consumer internet and software platform tech stocks continue to fluctuate weakly.
Only two main AI upstream hardware sectors are firmly grouped together: memory chips and optical communication concepts, which have steadily risen against the trend.
SK Hynix's intraday gain exceeded 5%. As the world's second-largest storage manufacturer, it directly boosted sentiment in Japan, Korea, and US storage sectors.
Optical communication leader Lumentum also rose more than 4%, with the entire optical module and optical device industry chain following the strengthening trend.
The two major niche tracks were not dragged down by minor market fluctuations and showed clear, independent resistance to declines.
🔹 The deeper logic 💡 behind the sector's strong counter-trend
1. The demand side is firmly bound to the rigid need for AI computing power expansion
Regardless of how the US stock market is shaken by interest rate data, global AI server production plans will not be suspended.
Flash memory and high-speed optical modules used in servers are standard consumables, and cloud vendors have strong rigidity in stocking.
Even if companies tighten overall capital expenditures, computing hardware procurement budgets are still prioritized and retained, with performance certainty far surpassing platform companies that rely on advertising and C-end users.
2. Supply contraction in the storage industry + continued price hike cycle
The three major foundries—Samsung, Micron, and SK Hynix—continue to strictly control wafer capacity and artificially tighten supply.
Downstream AI demand continues to grow, the supply-demand gap keeps widening, and prices for flash memory and DRAM contracts have been rising month by month.
As a core manufacturer, SK Hynix's stock price was the first to reflect expectations of price increases, which also drove continued capital favor for US storage stocks like SanDisk and Micron.
3. Optical communication benefits from an 800G/1.6T iteration cycle
Large model training and cluster interconnection of computing power are driving the iterative upgrade of high-speed optical modules.
Upstream suppliers like Lumentum hold massive orders from leading cloud manufacturers, making revenue growth highly predictable.
Funds regard it as a core part of AI computing power infrastructure, favoring hard assets with performance support for risk avoidance during volatile markets.
🔹 Personal trading reflection 📊
In my recent portfolio adjustment, I have gradually shifted some software and technology stocks to storage and optical communication hardware tracks.
In past market runs, during periods of market volatility and correction, growth stocks collectively cut valuations, making it difficult for safe-haven sectors to exist.
But this AI bull market has completely reshaped the sector's differentiated landscape: funds only embrace upstream hardware that can deliver real revenue.
In contrast, end-consumer stocks like Meta and Apple face sharp sell-offs when their performance falls short of expectations, with a very obvious margin for error.
However, rising against the trend does not mean there is no risk of a correction. After accumulating profit-taking with consecutive small bullish candles, a technical pause could occur at any time in the short term, so blindly chasing on high prices and adding positions is not advisable.
🔹 Overall outlook 📈 for the market
In the short term, the independent trend in the computing hardware sector will continue. As long as the Fed's rate cut expectations are not completely disappointed, funds will continue to concentrate in the AI upstream infrastructure sector.
From a medium- to long-term perspective, two points need attention: first, whether the storage price increase touches the cost red line for cloud providers; second, when the new cycle of overcapacity in optical modules will arrive.
Can the counter-trend driven by AI demand ultimately break free from the overall market volatility and achieve a sustained upward trend?🚨 $BTC Is Back in a Historic Accumulation Zone
The LTH/STH SOPR Ratio has once again fallen into the same accumulation range that has preceded every major Bitcoin bull cycle since 2015.
When this metric reaches these levels, it typically means short-term holders are selling at a loss, while long-term holders continue accumulating with confidence. That combination has historically marked periods of peak fear, weak-handed capitulation, and the early stages of long-term market recoveries.
Previous signals in 2015, 2019, and 2022 all appeared near the transition from bear market lows into new macro uptrends. Today's reading is approaching those same extreme levels, suggesting that experienced investors are absorbing supply as speculative sellers exit the market.
From an on-chain perspective, this isn't about calling the exact bottom. Instead, it highlights a shift in market dynamics where selling pressure weakens and coins move into stronger hands. As liquid supply declines, the foundation for future bullish momentum continues to build.
If history repeats, Bitcoin could be entering another accumulation phase where patience is rewarded. While short-term sentiment remains cautious, this has historically been the type of environment where long-term investors quietly position before the next major expansion.
$ETH $SOL
#SoftPCEStrongDemand
#MSFT450BInADay U.S. Treasury Secretary Bescent tweeted directly today, saying that the Republican version of the CLARITY Act is ready to be submitted to the Senate vote, but some Democratic lawmakers are delaying it for political reasons. His exact words are that Chapters 2 and 3 of the Act will bring the regulatory compliance standards for crypto intermediaries close to those of traditional financial institutions, and non-custodial developers will not need to register under the Bank Secrecy Act. The Senate is about to recess for a month, with only two weeks left in the window. It's rare for an official at the Treasury Secretary's level to exert public pressure, which shows the White House is really anxious. The problem is that there is resistance within the Republican Party itself; Senator Hawley was singled out as "strongly resistant," and banks are still lobbying to change stablecoin yield terms. The final moment of the two-party struggle will be the biggest turning point in crypto policy this year.After several consecutive days of decline, the U.S. stock market experienced a strong rebound with a large bullish candlestick. Under this extremely divergent market, how exactly has the capital's stock selection logic changed?
$BTC
During this period, I have been closely monitoring both the U.S. stock market and the crypto market simultaneously, and the overall sentiment of tech stocks is particularly clear.
🔹 Overall Market Index Performance 📊
$SNDK
On Thursday, the U.S. Eastern trading session closed with all three major indices opening higher and closing with gains.
The Nasdaq surged 2.78% in a single day, with the Nasdaq 100 rising 3.36%, wiping away the gloom of previous consecutive pullbacks.
The Dow Jones Industrial Average rose 1.19%, the S&P 500 closed up 1.66%, and growth stocks rebounded much stronger than value-weighted stocks.
The core macro catalyst driving this rebound is the expected decline in the U.S. June core PCE inflation data.
Cooling inflation eased market concerns about another Fed rate hike, temporarily relieving the interest rate pressure hanging over tech growth stocks, prompting speculative funds to flood back into risk assets.
🔹 Extreme Divergence Among Tech Giants 💡
The seven major U.S. tech leaders showed completely split performance, with profit-making concentrated in the AI hardware realization sector.
Microsoft was the absolute core benchmark, soaring 15.51% in a single day, marking its best daily performance in 18 years.
Azure cloud business growth remains solid, and management’s rational control of AI capital expenditure has fully convinced institutional investors, with a single-day market cap surge of $450 billion.
Amazon, Tesla, and Nvidia followed with modest gains, benefiting from resilience in computing power and automotive sectors.
In contrast, social and consumer-end stocks weakened throughout, with Meta plunging nearly 8%, Apple closing down 1.41%, and Google slightly declining.
$MSFT
Capital has completely abandoned platform companies that keep burning cash and struggle to realize AI profits; stock selection logic has become extremely stringent.
🔹 Semiconductor and Storage Sector Leads the Rebound
The Philadelphia Semiconductor Index surged 8.19%, ending a five-day losing streak and becoming the strongest performing sector in this rebound.
Storage chips soared across the board, which is also the core direction we have been continuously tracking.
Micron topped the U.S. stock trading volume list that day, closing up 18.36%;
SanDisk surged 25.99% in a single day, closing at $1279.96, with huge daily volatility and a turnover rate approaching 17%, indicating large-scale high-level chip exchanges.
Western Digital, SK Hynix, and Kioxia all rose more than 15%, with AMD, Intel, and other computing chip stocks following upward.
The underlying logic of the market is: improving procurement expectations from Microsoft cloud providers + confirmation of Samsung’s storage price hike cycle, with AI server massive storage demand being revalued by capital.
🔹 Personal Trading Insights and Capital Observations
Reviewing this rollercoaster market, my biggest takeaway is to never let single-day price swings dictate trend judgments.
A couple of days ago, the Fed’s hawkish decision triggered panic selling, with many turning fully bearish on the tech sector and cutting storage chip positions.
Just one trading day later, the dual catalysts of inflation data and earnings reports triggered a direct market reversal and surge.
Behind the extremely high trading volume and massive turnover, most were short-covering and speculative arbitrage funds battling.
Long-term institutions did not build large new positions at the surge point but rather used the rebound to reduce positions and exit previously trapped chips.
🔹 Core Views on Future Market
The current rebound is an oversold correction, not the start of a new bull market.
The Fed’s high interest rate environment has not completely shifted; after short-term emotional venting, the market will still return to a volatile pattern.
The hardware storage sector’s short-term heat is at its peak, but after continuous gains, selling pressure will gradually accumulate, and blindly chasing highs carries very low tolerance for errors.
Can the brief warmth generated by falling inflation and earnings really support a sustained upward trend for U.S. tech stocks? #PCE环比转负，GDP增速放缓至1.5% #财报观察员：亚马逊指引不及预期，股价却反涨9% #微软单日市值增近4500亿，创美股纪录 #财报观察员：亚马逊指引不及预期，股价却反涨9%
Amazon's earnings report,
total revenue, operating profit, and AWS cloud business all increased beyond expectations.
The cloud business has seen steady growth for several consecutive quarters, with operating profit of $16.6 billion, accounting for 60% of total operating profit, and an operating margin of 39%, making it Amazon's absolute core business.
Like Microsoft's cloud business, it has allowed the company to move away from a single business model, increasing its risk resistance.
Within total profit, there is an equity valuation gain from investment in Claude company; in fact, the main business profit is only about $27.4 billion, and the 13.7% growth in operating profit reflects the company's real operating level.
Although free cash flow is negative, it has improved compared to the previous quarter, indicating the company has not been reckless in AI investments.
The budget for AI investment has increased by $20 billion, mainly due to rising memory prices, indirectly benefiting storage-related stocks.
So, in summary: the company’s business is very stable, achieving a two-pronged approach without reckless AI investment. This is also what the market wants to see. A 30% drop doesn't automatically create a buying opportunity. Sometimes it just creates hope.
That's the question everyone is asking after Micron's brutal selloff:
Is this the bottom... or just halfway down the mountain?
Since its June peak, Micron has lost more than 30% of its value, erasing hundreds of billions in market cap. At the same time, the Philadelphia Semiconductor Index has officially entered a technical bear market.
The debate couldn't be more divided.
The bulls see a massive overreaction.
The business is still firing on all cylinders. Revenue continues to surge, margins remain exceptional, HBM demand is fully booked, long-term contracts provide strong visibility, and Wall Street price targets still point well above current levels. On valuation alone, Micron looks far cheaper than it did just weeks ago.
The bears see something different.
They argue the problem isn't the business—it's expectations.
After an enormous AI-driven rally, investors no longer care about "great." They want "better than impossible." The moment growth starts looking less explosive, the market reprices fast.
Add rising capital spending, growing competition from China's memory industry, ongoing leverage unwinds, and insider selling, and it's easy to see why investors remain cautious.
My view?
I don't think we've seen the final bottom yet.
Not because Micron is a bad company.
Because the market is still resetting expectations.
Here's what I'm watching before becoming more constructive:
• Leveraged positions in the semiconductor space fully unwind. • Memory pricing expectations stabilize. • The market fully digests China's expanding DRAM capacity and its long-term impact.
Until then, every sharp bounce could simply be another relief rally inside a broader correction.
Micron may still be one of the strongest long-term AI stories.
But strong companies don't always make strong trades in the short term.
Sometimes the hardest part isn't finding a great company.
It's buying it at the right time.
#DailyOrbit #财报观察员：亚马逊指引不及预期，股价却反涨9%
Amazon's latest Q2 earnings report triggered a sharp market divide. On the surface, the company's mid-point guidance for the next quarter was slightly below Wall Street's most optimistic expectations, yet the stock price surged 9% after hours, with market capitalization soaring by over $200 billion. Behind this is the market's "foot vote" on the AI narrative.
In terms of data, Amazon's Q2 revenue reached $200.6 billion, a 20% year-over-year increase, with operating profit at $27.5 billion, both exceeding expectations. But what truly ignited sentiment was AWS — cloud business revenue grew 36.7% year-over-year, accelerating for the fifth consecutive quarter, with an annualized revenue run rate surpassing $169 billion. Management revealed that AWS's order backlog has reached $496 billion, a triple-digit year-over-year increase, with AI demand far exceeding supply.
Why does the market forgive the "conservative guidance"? The core reason is that competition among cloud providers has shifted from "profit battles" to a "capacity arms race." Amazon's Q2 capital expenditure reached $53.1 billion, almost entirely invested in AI infrastructure, but investors realize these expenditures are converting into quantifiable revenue acceleration. When AWS achieves nearly 37% growth with close to a 40% operating margin, short-term guidance fluctuations can no longer shake long-term confidence.
For OKX users, this signal is worth noting: traditional tech giants' AI capital spending is spilling over into the crypto computing power market through channels like AWS and Azure, and market pricing logic has shifted from "looking at profits" to "looking at capacity conversion rates." Amazon's stock price reaction may just be the beginning of a revaluation of AI infrastructure.In-depth Comparison of Financial Reports from Four Tech Giants: Employee Performance Exceeds Expectations, Why Are Stock Prices So Drastically Different?
The four major tech giants in the U.S. stock market collectively released their latest financial reports, revealing a very interesting phenomenon: all four companies outperformed market expectations, with none of them disappointing.
But the feedback from the secondary market was completely different: Meta and Amazon surged sharply, Microsoft closed slightly higher, and only Apple bucked the trend and weakened.
Many people don't understand: the performance is clearly good, so why is the attitude of funds completely different?
In fact, when trading U.S. stock earnings reports, you never look at "good or bad," only at "how much you beat expectations" and "whether your future growth story is strong enough." All four companies appear to be positive, but in reality, their core logic, AI realization capabilities, and market expectations are completely different from the same dimension.
Meta: The biggest winner in this round of earnings, leading by a wide margin in gains
Among the four, Meta is a truly unexpected dark horse.
Unlike the market stereotype that Meta only knows how to spend money on the metaverse, this earnings report completely reverses the bias of capital. The company's traditional advertising business has an extremely solid foundation, with consistently ample cash flow, fully capable of supporting high-intensity AI R&D investment.
More importantly, the previously criticized losses in the metaverse are steadily narrowing, completely dispelling investors' biggest concerns about "unlimited cash burning."
Meta's current business model is very closed-loop: generating sufficient cash flow through stable advertising and feeding back into AI technology R&D; AI technology, in turn, optimizes ad delivery efficiency, further boosting revenue. At the same time, the commercialization of its social products is steadily underway, and short-term returns can be realized.
Previous valuations were not overhyped, and combined with profit elasticity, AI logic, and risk reduction, capital flowed in, resulting in the strongest gains among the four companies.
Amazon: AI fundamentals are the most solid, steadily growing stronger
Amazon's rise is not driven by e-commerce, but by the AWS cloud business that has far exceeded expectations.
Previously, the market had long worried that intensified competition in the cloud industry would lead to a continued decline in AWS's growth rate. However, this financial report directly shattered all pessimistic expectations, achieving the best growth rate in nearly two years.
This reflects the real explosion in enterprise AI computing power demand.
Amazon's advantages are extremely clear, with a robust dual-business foundation: offline e-commerce and logistics provide a steady, stable cash flow, while online AWS cloud business absorbs incremental dividends from global AI computing power and enterprise cloud services.
Moreover, the company has clearly announced an AI capital expenditure plan worth hundreds of billions, with a clear investment direction and strong implementation potential. Unlike other companies that talk about AI concepts empty-handedly, Amazon's AI growth comes from tangible corporate orders and solid financial revenue, with full certainty, naturally attracting continued capital pursuits.
Microsoft: AI Leader Holds Solid Position, but Gains Are Limited by 'Too High Expectations'
Microsoft's financial report remains excellent, with steady growth across cloud business, office software, and enterprise services, and AI commercialization deployment also ranking among the world's top tier.
But the reason its gains are less than Meta and Amazon is simple: market expectations have long been maxed out.
Before the financial report was released, Microsoft was already recognized as the core AI leader across the market. All institutions and capital had already anticipated its strong performance, and most of the positive news had already priced in in its stock price.
This financial report only confirmed the market's judgment but did not bring the "surprise increment" beyond everyone's expectations.
Simply put: the performance is good, but completely within expectations. High expectations diluted the strength of the positive news, and ultimately, only a mild upward trend emerged.
Apple: The Only Giant to Fall, Losing Due to No "Future Growth Story"
Many people wonder: Apple's financial report isn't bad, iPhone sales are recovering, services business hit new highs, and profit figures are impressive—so why did it actually drop?
Ultimately, the current main theme in the US stock market is AI growth, while Apple only has hardware stock recovering.
Currently, market funds are rushing to pursue AI computing power, cloud services, and enterprise AI businesses that can be monetized instantly. However, Apple's AI ecosystem is still at the stage of feature upgrades, and Apple Intelligence cannot bring new revenue increments to the company for now, with no substantial commercial implementation.
The market expected Apple to deliver a disruptive AI growth curve, but only met with a cyclical recovery in consumer electronics.
At the same time, hardware recovery is uneven; iPad performance is weak, and growth in the Greater China market is sluggish, further weakening capital confidence.
In the current booming AI market, funds will actively flee defensive, growth-stabilizing consumer hardware assets and instead chase highly elastic AI technology targets. This is the core truth behind Apple's positive earnings report but the decline against the trend.
Finally, summarize the core gaps
The divergence in the performance of the four companies essentially stems from a three-layer logical gap:
First, the difference in expectations is different. Microsoft's positive news has long been exhausted; Apple has no unexpected highlights, while Meta and Amazon have delivered unexpected surprises for the market.
Second, the speed of AI cashing out is different. Meta, Amazon, and Microsoft have already implemented AI for monetization, directly reflected in their financial reports; Apple's AI is still in the long-term phase and cannot contribute to performance.
Third, capital style rotation. Currently, the market only recognizes the high-growth AI sector; the steady returns of traditional consumer electronics can no longer satisfy the speculative demands of capital.
Financial reports focus on the present, but stock prices are always speculated on the future.