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行情昨日箜头增量至65200上方回落下探触及63790附近，白盘整体维持小范围区间震荡调整。
目前行情上方关注64500-64900-65500附近清算，强清算关注66600附近即可。
行情下方关注63500-63100-62500附近清算，强清算位置关注61500附近即可。
行情整体仍维持区间震荡，上方仍有压强，仍可维持高空为主，低哆为辅，注意风控防守。
$BTC $ETH $TSLA Q2 2026 revenue hit a new high of $28.24 billion, but a 1.4% operating margin and -$1.09 billion in free cash flow reflect a serious disconnect between high revenue growth and real profitability, putting pressure on the bullish valuation logic.
Financial report data directly dampened market risk appetite through deteriorating operating quality, prompting some long positions to shift toward defensive assets. A 21% revenue growth in the first half of the year resulted in only 0% profit growth, confirming that the volume-based strategy is continuously eroding cash flow and gross margin space.
Among market drivers, the quarterly free cash flow fell from positive to negative to -$1.09 billion with the highest priority, followed by the year-on-year decline in operating profit margin to 1.4%, which suppressed valuation premiums, and finally the 26% revenue growth providing short-term support for the market. The loss of free cash flow directly reduces the market's margin for error regarding subsequent capital expenditures.
In the upside scenario, if future delivery expansion drives a significant drop in per-vehicle costs, operating profit margin returns to the historical level of 4.1%, and free cash flow turns positive, capital may re-value high-tech growth stocks. This scenario requires monitoring the order conversion rate after terminal price cuts; if operating profit margin remains below 2%, the upward scenario will fail.
In the downward scenario, if the $398 million quarterly operating profit is further squeezed by price cuts and investment in AI and autonomous driving remains high, valuations will face a second downward revision. This scenario requires monitoring the pace of institutional position reductions. If the 21% revenue growth in the first half of the year slows significantly, the downward scenario will accelerate its realization.
The condition for the failure of the overall deduction judgment lies in whether the price-for-volume strategy can improve the overall capital circulation in the short term.
The most important variable to watch over the next seven days is the distribution of trading volumes triggered by institutional position adjustments and the direction of market revisions in free cash flow expectations for the second half of the year.
#标普收盘再创新高. Expectations for 8,000 points are heating up, #苹果测试长鑫存储芯片并展开初步供货谈判 #闪迪8月13日投资者日临近 earnings reports remain divided#本周三CPI公布, will the pricing for a rate hike in September be rewritten? $BTC $ETH
The July CPI, to be released this Wednesday (August 12), will be a key variable that will reshape the pricing of the September FOMC.
The current federal funds target range remains at 3.50%-3.75%. Dragged down by the unexpectedly weak July nonfarm payrolls, market pricing in a rate hike on September 16 (25bp) has fallen from previous highs to about 40%-45%, with the probability of unchanged rising to around 55%-60% (CME FedWatch, etc.). Consensus expects July CPI month-on-month to +0.1% (previous -0.4%) and year-on-year to 3.4% (previous 3.5%); Core CPI month-on-month to +0.2% (previous 0.0%) and year-on-year to 2.5% (previous 2.6%). The decline in energy prices is expected to weigh on the overall situation, but uncertainties remain regarding rebounds in core services and some commodities.
If the data meets or falls short of expectations (especially the core is moderate), it will further reinforce the narrative of "slowing employment + stabilizing inflation," with the probability of a rate hike in September likely revised downward, putting pressure on US Treasury yields and the dollar, and benefiting risk assets. If the core market rises more than expected, it could reignite bets on rate hikes, forcing the market to reprice "higher and longer." Overall, a single data report is unlikely to completely rewrite the trajectory, but its marginal impact is significant, and volatility is inevitable. Pay attention to core details and subsequent official statements. CPI前夜，市场真正怕的不是一个数字，而是估值体系被重新定价。
美国7月CPI将在 8月12日20:30公布。Cleveland Fed最新Nowcast指向headline CPI同比约 3.42%、核心约 2.52%；6月实际CPI为3.5%，所以这次核心通胀能否继续降温尤其关键。
BTC目前已回到约 6.4万美元，但上周美国现货BTC ETF仍净流入 8.54亿美元，其中贝莱德IBIT约6.94亿美元。价格走弱、机构资金却在承接，这就是当前最大的多空分歧。
如果CPI低于预期，美债收益率回落，BTC、ETH和AI成长股有望获得估值修复；若核心通胀重新走热，加息预期升温，高Beta资产首先承压。当前标普500 CAPE已约 42倍，接近1999年44倍的历史极值，容错率并不高。
数据只是导火索，真正要看的，是CPI之后美元、美债和BTC是否形成共振。$BTC #本周三CPI公布，9月加息定价会改写吗？ 😎 $ICP blockchain's third great innovation, punching Bitcoin and kicking Ethereum.
What did you take today to dare to be tough when the big players are all falling?
Is this an urgent attempt to usurp the throne? Don't say $ICP really has the technical ability.
So I specifically checked around, no good news at all, just pure counter-trend craziness.
Speaking of ICP, the technology is really not just hype:
It actually has some substance.
$ICP can run web pages and even large AI models directly on-chain, aiming to be a decentralized Google Cloud itself.
The most impressive is Chain Key, which created ckBTC and ckETH. $BTC/$ETH don’t need to be handed over for custody; they control the original chain address directly through code, no bridge needed, so it completely avoids the risk of bridge hacks. It's the only one in the market daring to do this.
But why has it crashed so badly? 😓
It peaked at listing, opened at hundreds of dollars and dropped over 90%, the summit is full of souls stuck at $700, who sell off at the slightest bounce, the selling pressure is thicker than a mountain.
The vision was too big—replace Web2 and the internet, but how many active users are really on-chain now? The coin issuance outpaces burning, no matter how good the tech is, it can't support the price.
So this rally, don’t chase it, just watch the show.
When the market is red, it turns green a bit, probably the whales testing or baiting longs; when the market dips tomorrow, it will fall harder than anyone.
Save your bullets for BTC’s final drop. This kind of old mainnet chain’s last flare-up is just for watching; reaching out to catch it will only prick your hand with blood.
I’m the one who was once trapped by $ICP. So I believe you get up where you fall.
So I bought a little at a low price. Kept some base position. What if one day it really disrupts the internet? People need to have some hope. What if I dream about it at night?
😊 Do you think what I said makes sense? Do you support me doing this? Comment section, go crazy
#谷歌AI高层重组，核心人才流失引关注 BTC 和 ETH ETF 资金流回归：机构正在买入——但美联储和霍尔木兹海峡掌握关键
加密市场正进入一个关键的宏观窗口。机构资金正在回流，美国现货比特币和以太坊ETF在过去一周吸引了约11亿美元的净流入。然而，$BTC 和 $ETH 仍然波动，投资者在等待下一个催化剂。
关键问题是ETF需求能否克服宏观压力。
所有目光都聚焦于美国CPI和联邦储备。较软的通胀可能加强对美联储宽松的预期，降低收益率并恢复风险偏好——这些条件将有利于$BTC 和 $ETH。
但另一个重大变量是霍尔木兹海峡。
对其重新开放的不确定性推高了油价，重新引发了通胀担忧。由于美伊谈判的不确定性，油价上涨了约5%。
这形成了一个关键的宏观博弈：
ETF资金流入 = 机构需求。
较软的CPI = 潜在的美联储宽松。
霍尔木兹海峡导致的油价上涨 = 重新出现的通胀风险。
如果CPI较软且油价压力缓解，全球流动性可能改善。$BTC 可能首先受益，随后随着机构采用、质押和代币化的扩展，$ETH 也将受益。
在主流资产之外，$SOL 如果风险偏好回归仍是关键资产，而$OKB 则可能受益于更强的交易所活动和流动性恢复。
市场不仅仅是在等待突破。它在等待宏观条件转为支持的确认。
鸽派的美联储前景 + 持续的ETF资金流入 + 霍尔木兹紧张局势缓解，可能为下一轮加密扩张创造强大格局。
但更高的CPI + 更高的油价 + 地缘政治不确定性可能使投资者保持防御。
目前，最重要的信号可能不是今天的价格。
而是机构资金在下一个宏观催化剂到来前的布局。
如果你觉得这些见解有用，关注我，持续追踪、分析并讨论加密和华尔街的最新动态。
#BTCETHETFFlowsDiverge
#HormuzDealUnresolved
#CPIToResetFedBets
$BTC
$ETH
$SOLThree unrelated signals together point to the same judgment: liquidity is being collected, and money is moving toward safety. Oil rises, BTC falls, ETFs pump up—this isn't a market "rotation," it's risk appetite contracting.
The agreement on Hormuz's side has been hanging for nearly two months. Iran says it's "close" but reopens with conditions, the US doesn't respond, and Brent reaching $84 is the result. Meanwhile, Strategy sold nearly 7,000 Bitcoins in six weeks, cashing out over 400 million, with dollar reserves piling up to 4.65 billion—the largest corporate holder who once promised "never sell" is now using Bitcoin as an ATM. ETF is also not optimistic, with BlackRock and IBIT leading continuous net outflows, and some funds have announced liquidation due to excessive losses.
Looking back, my judgment is as follows:
Bitcoin and Ethereum, the patch of sentiment brought by protocol news at best can push BTC back to around 64,000. But the ETFs continue to bleed and strategy selling pressure hasn't ended; selling nearly 7,000 coins in six weeks is not the end. Ethereum is even weaker, on-chain activity is stalled, and $1,900 won't last long. I'm cautious about the short term.
Gold is the opposite. In the short term, the agreement may be a "sell facts" pullback, but the extent is limited. The decline in oil prices has lowered inflation expectations, which has indeed weakened gold's narrative of fighting inflation. But the US fiscal deficit is expanding, central banks buying gold to support the bottom, and prolonged geopolitical rifts—these structures haven't changed, and around 4000 is most likely the bottom of this round. If it really falls to 3800-3900, it would actually be a buying opportunity.
SanDisk: The risks outweigh the opportunities. After the financial report, it fell 12%. The 93.9 billion yuan long-term contract locks in revenue but not profit margins. The mismatch between NAND prices and the execution pace of long-term contracts could pose a hidden risk in the coming quarters.
SPCX is one of these that I am relatively optimistic about. It will not fall during lock-up periods, and 105-110 has strong support. The market currently gives it a "burn money for growth" pass. The premise is that AI revenue growth cannot slow down—doubling quarterly is the market's default baseline. Just monitor renewal rates and customer concentration; if the data is solid, it can continue to enjoy premiums.
Overall, the most certain is gold's mid-term upward trend, while the least certain is Bitcoin's short-term direction. SanDisk and SPCX each follow completely different logics in their respective tracks—the former wants to prove how long it can be made, the latter wants to prove whether the burn is worth it $BTC $ETH
#现货ETF资金分化, BTC selling pressure remains
#霍尔木兹海峡通航协议未落地, oil price risks are heating up
#Strategy再卖1690枚BTC, corporate financial pools are diverging This is just insane
Someone opened a $BTC short position worth $50,924,000 with 40x leverage.
He is only $163 away from a liquidation.The three storage giants are jumping up and down like knockoffs, while SPCX alone maintains an orderly "drop in the bomb."
📊 Market characteristics
· Rocket SPCX: Stable trend, clear rhythm of decline and rebound, predictable trends.
· SanDisk, Micron, Hynix: Trends are 'counterfeiting,' with volatility, inconsistent capital direction, and extreme volatility.
✅ Each has its own advantages
· SPCX Advantages: After an unexpected unlock, the rebound is orderly, the price trend is stable, and it's good to maintain a good rhythm.
· Advantages of the Three Storage Strong: Dense trading opportunities, daily fluctuations of 5%-10%, with room for both bulls and bears to recover their costs.
⚠️ Each carries its own risk
· SPCX risk: Prone to one-sided movement, once reversed, the risk of being stuck-out is high.
· Risks of the Three Major Storage Companies: Extreme short-term volatility, requiring high risk tolerance.
📉 Industry fundamental assessment
· AI storage has passed the trend: low holding value, poor long-term investment cost-effectiveness.
· Industry dilemmas: huge investments, low returns, fierce competition among peers, and technology approaching bottlenecks.
· Ceiling for gains: It's hard to exceed 30% in the short term.
🚀 In-depth analysis of the Rocket SPCX
· Both are in the AI sector, but the biggest losses are sustained solely by the Starship project.
· It bottomed out for the first time since the IPO, rebounding over 40% after stabilizing the decline.
· Core forecast: The rebound will not fully break through 150. Currently, it is expected to peak and pull back near 125, then build up strength for a second rebound and seek another breakthrough.
📌 Strategy summary
SPCX is following a trend rhythm, be wary of one-sidedness; For storage stocks, trade in short-term swing trading—don't get stuck in the trade. The AI storage wave has passed; it's best to buy while you can, and it's not suitable for long-term holding.
$SNDK $MU $SKHYNIX $SPCX Investing $100 per month, with regular investment since 2022, the total cost has dropped to about $5,600. The same strategy, the same amount of money, but the result is like four forked paths: TRX stands far behind, while ADA is mired in a quagmire. This is the harshest truth about dollar-cost averaging—it only buys in on time, but never decides what to buy for you. TRX's strength is no accident. While most people were still chasing hot narratives, TRX managed to carve out an independent rally in the bear market thanks to its stable low-fee ecosystem and ongoing deflationary mechanisms. At the same $100 per month, while others are struggling to break even, it has already delivered results far exceeding its costs. What does this indicate? The market always rewards assets with solid fundamentals and genuine capital flows, even if they are not in the spotlight. BTC, XRP, and SOL have shown "steady progress." BTC, as the anchor of the crypto market, essentially uses regular averaging to buy long-term β of the entire industry, and this logic never fails. XRP, on the other hand, is a valuation recovery after legal risks have been cleared, with each round of downside being a repricing of funds. SOL has supported its fundamentals through ecosystem recovery and capital inflows; although it is volatile, its direction is correct. Their common features are: high institutional recognition, solid consensus foundation, and solid downside support. These three types of dollar-cost averaging earn the certainty of returns brought by time. The real drags are ETH and ADA. ETH's slight loss reflects the ongoing diversion of mainchain gas fee revenue after the rise of Layer 2 networks, prompting the market to reassess its value anchorageFundamental Research Report $OP / Optimism (L2/Sidechain) $3.20
Essentially: Optimism ($OP) has an overall score of 54/100, with a rating focused on narrative over implementation. Looking at the three layers, the company team has cash reserves, the protocol network already shows signs of paid usage, and token capture has been implemented.
Let's look at projects first: Optimism (token $OP), L2/sidechain track. Focuses on OP Stack L2 ecosystem. Benchmarks ARB and ETH. Traditional enterprise collaboration relies on cloud servers and contract reconciliation; during high concurrency, gas surges, TPS is limited, and cross-chain bridge security incidents frequently occur. Public blockchains use unified state machines for trustless settlement, reducing reconciliation costs. Average order value is $50-500/month, requiring USDC or fiat currency settlement. Narrative-driven track, bear market usage cut by 60-80%. Positioned as an end-to-end vertical platform. Product launch: protocol layer officially operational, on-chain dashboard shows protocol fees accumulating, showing signs of paid usage. Latest version not found, 60 valid submissions in the past 90 days.
On the user side, address MAU is not disclosed, DAU is not disclosed, 24h transaction volume $80.00M, TVL not found. Wallet addresses do not equal monthly active individuals; concentrated holdings of large addresses overestimate actual user numbers. On the revenue side, user fees are undisclosed; supply-side revenue is about 80-90% of user fees (belonging to LPs and nodes), protocol treasury revenue is $2.00M, token holders buy and burn annualized without a burn mechanism. 24h transaction volume is business turnover, not revenue. Company profits do not equal protocol profits, protocol profits do not equal token holders profit. Code side: 60 valid submissions in 90 days, 25 active contributors, latest version not found. GitHub is A-level evidence that can be directly verified. Investment background: For company equity financing, look at PitchBook/Crunchbase (A-level); for token private and public funding, refer to whitepapers, release curves, and on-chain unlock contracts (A-level); market makers and ecosystem funding are B-level but do not represent long-term holdings by tech VCs; for technical integration, see API/SDK access evidence (B-level); strategic partnerships and logo walls are D-level. Using NVIDIA GPUs does not mean NVIDIA investment, and going public on exchanges does not mean strategic investment.
On the token side, total supply is 1,300,000,000, circulating 950,000,000 (73.1%), FDV $4.20B, next unlock is 2026-Q4 (accounting for +3.50% circulating circulating), burn buyback annualized rate No clear buyback or burn. Must you buy coins to use the product? Yes, strong value capture (gas/collateral/service access). Looking together with peers (unified caliber, no cross-sector random comparison): In terms of circulating market cap, Optimism $3.00B, ARB undisclosed, ETH undisclosed. FDV: Optimism $4.20B, ARB undisclosed, ETH undisclosed. In terms of annualized revenue, Optimism is $2.00M, ARB is not disclosed, ETH is not disclosed. For monthly active addresses or users, Optimism is not disclosed, ARB is not disclosed, ETH is not disclosed. Figures are based on public data snapshots; some omissions are supplemented by official self-reports or industry standards. Valuation: circulating market cap $3.00B, FDV $4.20B, P/S 1500.0x, FDV divided by revenue 2100.0x. Pessimistic outlook: $3.00B at 50-70% of the original price, fluctuating in a neutral range; optimistic outlook: revenue doubles, burns are deployed, enterprise clients are coming in, and FDV is aligned with the top P/S. To wrap up: Solid fundamentals (score 54/100). Token value capture has been implemented (buyback/burn/gas). Circulating market cap is relatively high compared to fundamentals, expected overdraw, FDV moderate. Potential pitfalls: short-term large unlock and sell-off, protocol revenue long-term zero, token demand relying solely on incentives (once incentives are cut off, usage collapses). Ongoing monitoring: protocol fee weekliness, burn amounts, active address retention, TVL/loan balances, GitHub version releases. Information sources are public, logic self-developed, does not constitute buy or sell advice. Data bias over 30% requires revaluation.
This concludes the research report. Welcome to share your views.
#基本面研报 #加密 #研究 #OKXOrbit#本周三CPI公布, will the pricing for a September rate hike be rewritten? Everyone, tomorrow night will be the real highlight — the US July CPI data.
After the shocking nonfarm payroll upset, the market has repriced its expectations for a rate hike in September. Polymarket shows about a 63% chance of no rate hike, Kalshi about 65%, and CME FedWatch at 55.6% versus 44.4%. But the drop in rate hike expectations is due to employment data, not inflation data. CPI is the real card that determines how September will go.
The market expects the overall annual CPI rate to fall from 3.5% to 3.4%, and core CPI from 2.6% to 2.5%. Core services inflation may remain sticky, with rents and insurance still rising, and the numbers may be harder to suppress than expected.
For the crypto world, tomorrow night's data is as important as the Fed's statement. If CPI falls short of expectations, the probability of a rate hike in September will further decrease, the dollar weakens, liquidity expectations improve, which is positive for BTC. If CPI exceeds expectations, the optimism from nonfarm payrolls will be reversed, rate hike expectations will resurface, and BTC may face pressure.
Operating at this level is simple: don't heavily bet on the direction before the data comes out. The CPI ruling is more effective than any analysis; wait for the data to be released before deciding the next phase. What do you all think about tomorrow night's direction? Let's talk in the comments. Wishing everyone smooth trading tonight.The vote on the U.S. crypto market structure bill CLARITY has been postponed until after the Senate reconvenes in mid-September. At the last minute before the August recess, Thune only completed the procedural motion.
To pass, 60 votes are needed, meaning all 50 Republicans + at least 8 Democrats. The focus of Democrats being stuck is: government officials and their families cannot profit from crypto projects—directly pointing to the Trump family's crypto revenue exceeding $1.4 billion last year.
Meanwhile, Trump Media has terminated its CRO corporate treasury plan with Crypto.com. Regulatory uncertainty + political controversy have caused the narrative of the "presidential concept coin" to begin to fade.
Do you think CLARITY will pass in September? What is the pass rate? Predictions in the comments.
#本周三CPI公布, will the pricing for a rate hike in September be rewritten? This is a major development for the AI infrastructure narrative.
The key takeaway is that NVIDIA is effectively helping turn AI compute into a financeable infrastructure asset. If the announced platform can mobilize $500B+ of third-party capital, the implications could extend far beyond NVIDIA itself:
🏗️ AI infrastructure: More capital for data centers, power, networking, and compute capacity.
🏦 Institutional participation: Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR bring enormous financing capacity.
⚡ “AI factories”: Jensen Huang’s framing suggests compute is increasingly being treated like critical infrastructure rather than simply hardware.
💰 Capital cycle: Large-scale financing could accelerate AI infrastructure deployment and potentially create opportunities across the broader AI supply chain.
📈 Market implication: The AI boom may increasingly become a capital-intensive infrastructure investment cycle, rather than just a semiconductor story.
The most interesting part is the shift in mindset: Wall Street isn't just investing in AI companies—it is increasingly preparing to finance the physical infrastructure required to run AI at massive scale.BTC & ETH ETF Inflows Return: Institutions Are Buying — But Fed & Hormuz Hold the Key
The crypto market is entering a critical macro window. Institutional capital is returning, with U.S. spot Bitcoin and Ethereum ETFs attracting roughly $1.1 billion in combined net inflows over the past week. Yet $BTC and $ETH remain volatile as investors await the next catalyst.
The key question is whether ETF demand can overcome macro pressure.
All eyes are on U.S. CPI and the Federal Reserve. Softer inflation could strengthen expectations for Fed easing, lower yields and renewed risk appetite—conditions that would favor $BTC and $ETH.
But another major variable is the Strait of Hormuz.
Uncertainty over its reopening has pushed oil prices higher, reviving inflation concerns. Oil surged around 5% amid renewed uncertainty over U.S.-Iran negotiations.
This creates a critical macro battle:
ETF inflows = institutional demand.
Softer CPI = potential Fed easing.
Higher oil from Hormuz = renewed inflation risk.
If CPI comes in softer while oil pressure eases, global liquidity could improve. $BTC may benefit first, followed by $ETH as institutional adoption, staking and tokenization expand.
Beyond the majors, $SOL remains a key asset if risk appetite returns, while $OKB could benefit from stronger exchange activity and recovering liquidity.
The market is not simply waiting for a breakout. It is waiting for confirmation that macro conditions are turning supportive.
A dovish Fed outlook + sustained ETF inflows + easing Hormuz tensions could create a powerful setup for the next crypto expansion.
But hotter CPI + higher oil + geopolitical uncertainty could keep investors defensive.
For now, the most important signal may not be today's price.
It is where institutional capital is positioning before the next macro catalyst.
If you find these insights useful, follow me to keep tracking, analyzing and discussing the hottest developments across crypto and Wall Street.
#BTCETHETFFlowsDiverge
#HormuzDealUnresolved
#CPIToResetFedBets
$BTC
$ETH
$SOL 500 billion vs 20 billion! Understanding the harsh truth of AI's second half through financing paths 📉📈
Both are building AI infrastructure, so why is the treatment of Nvidia and Intel worlds apart? The information in this chart is worth careful consideration for all tech stock investors.
Core difference breakdown:
✅ Nvidia (NVDA): The orchestrator
Action: Partnered with BlackRock and Goldman Sachs to establish a financing platform.
Essence: Asset-light operation + financial leverage. It’s no longer just a GPU seller; it’s becoming the "central bank" of the AI era. By empowering customers (lending money to them), it locks in future orders. This is a long-term double positive for the stock price (performance + valuation uplift).
⚠️ Intel (INTC): The disruptor
Action: Issued common stock to raise $20 billion.
Essence: Heavy asset gamble. This is a bet using shareholders’ money on future advanced process technology. Although strong subscription shows institutions are still willing to give it a chance, it also means huge capital expenditure pressure. If the process technology lags in the next two to three years, this $20 billion will become a heavy burden.
Conclusion:
The market is repricing "financing capability." In this AI money-eating beast game, Nvidia is making money with other people’s money, while Intel is emptying its coffers to survive.
Friends holding these two stocks, your strategies may need to diverge. #AI基建融资升温，英伟达英特尔路径分化 Tesla delivered a Q2 2026 financial report of "highest revenue ever + near-worst operating quality ever." Revenue was $28.24 billion (+26%, a record), but operating profit was $398 million (-57%), operating margin 1.4% (4.1% in the same period last year), and free cash flow was -$1.09 billion (the first quarterly loss since early 2024). What's even more noteworthy is the panorama of the first half: H1 2026 revenue $50.6 billion (+21%), operating profit $1.34 billion (vs. $1.32 billion last year), net profit $1.59 billion (vs. $1.58 billion last year)—21% revenue growth translates into 0% profit growth $TSLA Anthropic 把 90 亿刀砸给 Riot 买算力，BTC 矿工要改行当 AI 包工头了——这比盘面那点波动更该盯。
BTC 这小时没脾气：64,071，24h -1.86%，量还缩 -87.8%，恐惧 29 卡在 Fear，标准僵尸盘。
真暗雷在 GRVT：24h 干到 -16.6%，OKX 跌幅王，一个 perp DEX 代币说崩就崩，跟死水无关，是它自己的雷。
矿工拿 AI 订单逻辑两说：好的一面是多笔收入、少被迫抛 BTC 补电费；坏的一面是 AI 巨头亲自下场，往后抢电抢显卡，矿工成本更卷。
能拿走一条：别只盯 BTC 价格，盯矿企"算力转型"进度——哪家真拿到 AI 单，哪家抛压就轻，这是供应端新变量。
AI 大厂亲自买矿机算力，BTC 是多了个金主，还是多了个抢电对手？评论说你的判断（浅评被藏，带理由才前置）。
—— 链上老中医·每小时把脉 · 2026081116 · 算力变量
加密资产高风险，本文不构成投资建议，纯属个人观点。
#OKX星球 $BTC #AI算力 #矿工叙事8.9 billion in revenue, profits multiplied 135 times, and the stock price fell 47%—SanDisk's investor day, was it a lifeline or just another blow?
Quarterly revenue was $8.965 billion, up 372% year-over-year.
Adjusted earnings per share were $39.25, 135 times the $0.29 a year earlier.
Gross margin was 84.6%.
Eight long-term agreements lock in $93.9 billion in guaranteed revenue for the future.
A $14 billion share repurchase program.
And then?
The day after the earnings report was released, the stock once fell more than 13% intraday.
As of the close on August 10, SanDisk was at $1,238—a 47% drawdown from its June all-time high of $2,354.
The better the performance, the harder the drop.
Does this script sound familiar?
"Didn't you say there was an explosion in demand for AI storage?"
"Didn't you say NAND supply is short-lived?"
"Didn't you say the data center business grew 1298% year-on-year?"
The market said: I know. But I don't care anymore.
Breaking down the financial report, where did the problem lie?
First, the value of the performance is questionable.
SanDisk's management admits that of the 51% quarter-on-quarter revenue increase this quarter, only one-third came from increased shipments, while the remaining two-thirds came from NAND price hikes.
In other words, this growth is not driven by demand, but by price increases.
How long can price increases last? TrendForce data shows that Q2 NAND contract prices rose 70%-75% quarter-on-quarter, but Q3 gains have sharply dropped to about 20%.
The price hike wave has faded, so who's swimming naked?
Second, the consumer business collapsed.
The data center business is indeed strong—$2.977 billion, exceeding expectations. But the consumer segment was only $556 million, 36% less than the market expectation of $874 million, and down 32% year-on-year.
On one side, AI customers are placing orders like crazy; on the other, ordinary consumers can't afford to buy.
Two worlds, one company.
"What about long-term agreements? Isn't the $93.9 billion guaranteed income locked in? ”
That's right. Eight long-term NBM agreements cover over 50% of supply in fiscal year 2027 and about two-thirds in fiscal year 2028. Based on guaranteed prices, all long-term contracts can generate at least $93.9 billion in revenue.
But how did the market react?
Fall.
Why?
Because long-term contracts lock in volume, not price. If NAND prices are halved next year, no matter how large the guaranteed revenue figure is, actual profits will shrink significantly.
The market's concern has never been whether SanDisk can be sold.
The market is worried about whether SanDisk can still sell at this price.
That's the significance of Investor Day on August 13.
CEO David Goeckeler and CFO Luis Visoso will personally take the stage and spend several hours explaining three things:
First, HBF high-bandwidth flash memory—when exactly will it be commercialized?
On August 4th, SanDisk and SK Hynix jointly released the world's first HBF technical specification. HBF is positioned as a new storage layer between HBM and SSD, with a maximum single-chip capacity of 512GB. This is SanDisk's biggest card—if HBF becomes the standard storage layer for AI inference, SanDisk can transform from a "NAND seller" to a "core supplier of AI infrastructure."
Second, can NAND prices really hold steady?
SanDisk previously predicted that the global NAND market would exceed $300 billion by 2026 and approach $500 billion by 2027. But price increases in Q3 have already slowed significantly. Management needs to answer a tough question: Once the dividends from price hikes have been absorbed, where will the next growth point be?
Third, how will the 14 billion yuan buyback be spent?
Is it to support the market, or do they truly think the stock price is undervalued?
To be honest—
SanDisk is now in a very awkward position.
Bulls say: AI storage demand is just beginning, HBF is the next super trend, long-term contracts have locked in revenue for four years, and now the stock price has been halved from its peak—it's a golden pit.
Bears say: the β of price hikes has been eaten, the consumer business is collapsing, the NAND cycle turning point has arrived, and the current level is still too expensive.
Both groups have valid points.
But the market only recognizes one thing: on Investor Day, can management come up with something to silence the bears?
Finally, here's a framework for thinking—
If you're waiting for Investor Day, what are you waiting for?
It's not about waiting for stock price fluctuations. It's about waiting for these three signals:
Signal 1: Is HBF's commercialization timeline exceeding expectations? —If management says "mass production next year," that's a nuclear-level boost. If it's just "still exploring," the stock price will keep falling.
Signal 2: Has the long-term NAND price guidance been raised? —If management dares to say "prices will hold steady in 2027," that's confidence. If they are vague, it's guilt.
Signal Three: Are there any new super clients signed? — At the call, management said, "After signing the largest client, additional demand will be added." If investors reveal another giant name during the day, their sentiment will completely reverse.
These three signals are more important than any candlestick.
August 13, 9:00 AM Eastern Time.
Is it a lifeline, or just another stab?
We'll see when the time comes.
$SNDK $SKHY $SAMSUNG #闪迪8月13日投资者日临近, the divergence in the financial report remains to be resolved 🔥 #财报观察员: AI infrastructure earnings report debuts in succession. This week, AI infrastructure delivered a dense schedule, with explosive numbers, but the stock price took a different path.
Nvidia's Q1 revenue was 81.6 billion, with data centers accounting for 92% at 75.2 billion. It just partnered with six major institutions including Apollo and Blackstone to plan $500 billion in AI infrastructure financing. Broadcom's Q2 revenue was 22.2 billion, with AI semiconductors up +143% year-on-year. AMD's revenue was 11.5 billion, with data center revenue doubling to 6.7 billion, a record high, but fell 9% after hours. Micron's Q3 revenue was 41.5 billion, +346% year-on-year, with gross margin reaching 84.6%, and its stock price retreated from its peak. Intel's Q2 both exceeded expectations, earning a share of the AI industry.
The five major cloud providers are expected to spend 805 billion yuan in capital expenditure in 2026, more than doubling compared to 2024. Private capital is rushing in.
But doubling revenue is no longer enough. AMD fell 9% in after-hours trading, SanDisk dropped 12% after its earnings report—good earnings are expected, but whether guidance continues to exceed expectations is key. AI infrastructure has shifted from "storytelling" to "settling accounts" mode.
BTC follows the Nasdaq; as long as AI hardware demand remains stable and tech stock valuations are not revised downward, BTC's lower bound will be relatively controllable. But Hamack just said "multiple rate hikes are possible," and macro liquidity is the real ceiling.
👇 How much longer do you think AI infrastructure can continue to surge? Let's talk in the comments.Jensen Huang appeared on CNBC live alongside Goldman Sachs, BlackRock, BlackRock, KKR, Brookfield, and Apollo to explain the new $500 billion AI financing plan:
1. Computing power is as essential as water and electricity
This is the biggest fundamental transformation in the computer industry in 60 years
This may benefit most even usable fuel generator companies with $BE, but in the long run, transformers and grid infrastructure still depend on the situation
2. Demand is too strong, you have to raise a lot of money
Not only do they need to buy chips, but they also have to compete for land, build power grids, and build factories. Just building a gigawatt-sized AI data center costs as much as $50 to $60 billion
The main issue is the mismatch between government and enterprise demand, so companies in this area can pay more attention
3. NVIDIA is no longer just a chip seller
Now it's directly upgrading to an AI factory platform. This platform is universal across industries and can run any AI model, breaking the dilemma of over-reliance on other companies in some areas. #FinancialReportObserver: AI infrastructure earnings report relay debut Summary of today's Asian session (August 11)
Japan is closed (Mountain Day), with clear divergence among major markets.
Hong Kong stocks weakened: The Hang Seng Index closed at 25,652 points, down 1.1%; the Hang Seng Tech Index fell 1.93%. The overnight Nasdaq pullback dragged down the tech sector, with NIO and BYD Electronics among the biggest decliners. Energy stocks rose against the trend, led by CNOOC, with Brent crude approaching 85, exerting a transmission effect.
A-shares: Shanghai weakened while Shenzhen strengthened. The Shanghai Composite ended a six-day winning streak, while the ChiNext Index opened lower but rose to close up 1.41%. Style rotated from high-level tech to consumer and pharmaceutical sectors. Over 3,100 stocks declined, with northbound plus leveraged funds net outflow of about 12 billion yuan, showing clear characteristics of stock rotation.
Other markets: South Korea and Australia slightly followed the decline. The Asian session overall was under dual pressure from oil price transmission and tech linkage, showing a pattern of strong energy and weak tech.
US market outlook tonight
Focus tonight: 6:00 NFIB Small Business Optimism Index, 10:00 Existing Home Sales. The real market focus is Wednesday's CPI; before that, funds remain defensive.
Pre-market futures are soft. Key levels for the S&P: above 774.74 confirms bullish bias, below 771.60 turns bearish. Tech giants remained firm last week, but the semiconductor sector (Philadelphia Semiconductor Index fell over 2% yesterday) continues to weaken, posing a risk. High oil prices and the 10-year yield at 4.70% are pressuring growth stock valuations.
Overall judgment: Narrow volatility is expected before CPI release, with no clear breakout. The energy sector may continue to benefit short-term from Hormuz Strait sentiment.Most people say that staking 42 million ETH is a supply advantage, but I don't see it that way
The staked amount has surpassed 42 million, accounting for nearly 35% of the total supply. Many accounts are saying: ETH is becoming increasingly scarce, supply is locked, and price pressure is easing.
I understand this logic, and on the surface, it does hold true. But if you look closely at what happened to Ethereum this year, you'll find that behind the staking rate surge lies a more complex, even somewhat ironic, story.
On August 4, Justin Drake, together with five other Ethereum Foundation researchers, submitted EIP-8361, with the core mechanism being "Tapered Issuance Burn": as the staking ratio increases, the burned proportion of validator rewards also rises until the staked amount reaches 50% of the total supply (about 60.25 million ETH), at which point the new consensus layer issuance drops to zero.
This proposal made me think for a long time.
On the surface, EIP-8361 is addressing the problem of "centralization caused by excessive staking"—yes, when 35% of ETH lies in staking contracts, plus Lido alone accounts for over 30% of validators, the risk of centralization is real.
But here's the question: who is most unfavorable to this proposal?
The biggest disadvantage is for those currently staking. If you stake ETH today, you're getting about 3.5%-4% annualized returns. Once EIP-8361 is passed and the staking rate continues to rise, your earnings will be automatically diluted by the system until they reach the 50% threshold. In other words, more and more people are staking, pushing for a tipping point where their returns are diminishing faster.
It's a bit like the story of everyone desperately pouring water into the pool, unaware that the hole in the pool is getting bigger and bigger.
Now, let's talk about the DeFi side. The base yield of Ethereum staking has long been regarded as the DeFi world's "zero-risk rate anchor"—lending protocols like Aave and Compound set rates based on this anchor to some extent. If EIP-8361 lowers or even zeros this underlying yield, liquid staking projects (Lido, Rocket Pool) and LRT protocols (EigenLayer's EIGEN staking logic) that rely on Ethereum staking yields as product narratives will be hit by valuation shocks.
The community controversy over EIP-8361 is still significant. Some voices on the Ethereum Magicians forum bluntly say: the proposal was submitted before the Hegotá upgrade deadline, leaving very little time for community discussion. This is not an ordinary parameter adjustment; it is a fundamental change in Ethereum's monetary policy, yet it is being pushed in like an emergency bill. This procedural issue itself deserves special attention.
My current judgment is: the probability of EIP-8361 being implemented in 2026 is low, but its very existence has already cast doubt on ETH's "monetary expectations"—what exactly will Ethereum's future issuance policy be? Who decides that? This uncertainty creates friction for institutions allocating ETH.
This is my current understanding, but I leave myself 30% room for reversal, because if EIP-8361 passes as a modified version with a sufficiently long transition period (the proposal mentions 18 months), the impact may be milder than I expected. For those interested in ETH staking mechanisms, do you think the impact on DeFi will be more severe than the consensus layer issuance itself, or will it be less significant?
#现货ETF资金分化, BTC selling pressure remains 🍎 APPLE × CHANGXIN: THIS IS BIGGER THAN A SUPPLIER STORY
Apple reportedly testing ChangXin Memory Technologies’ DRAM chips is getting attention for a reason.
The bigger signal isn’t simply “Apple wants another supplier.”
It’s that the global memory market is becoming so tight that even a company with Apple’s purchasing power is looking for additional sources of supply.
📌 Why ChangXin matters
ChangXin has been expanding its position in the global DRAM market and is increasingly being viewed as a serious fourth player alongside Samsung, SK Hynix and Micron.
But there’s an important detail:
ChangXin reportedly isn’t trying to win customers by simply offering the cheapest chips. With domestic demand already absorbing much of its capacity, its pricing power appears stronger than many expected.
That changes the narrative.
This isn’t just about replacing one supplier.
It’s about China building a more competitive position in a strategically important semiconductor industry.
🔥 And what about BTC?
There’s no direct Apple → ChangXin → Bitcoin connection.
The potential link is macro:
AI infrastructure is consuming enormous amounts of computing hardware → memory demand stays elevated → semiconductor prices remain under pressure → companies raise product prices → inflation expectations can stay sticky.
Short term, persistent inflation can keep pressure on risk assets.
But over the longer horizon, continued monetary and technological expansion strengthens the debate around scarce, non-sovereign assets.
And that’s where $BTC becomes interesting.
The real takeaway?
Apple testing ChangXin may be less important than what it says about the memory market itself.
When supply becomes scarce enough that even Apple starts looking for alternatives, the semiconductor cycle deserves attention.
And where capital expenditure, AI infrastructure and inflation go…
BTC eventually gets pulled into the conversation. 👀
$BTC $ETH $BICO
#Bitcoin #BTC #Ethereum #Apple #Semiconductor #AI #Crypto #Orbit 山寨币：一场九死一生的生存游戏
如果你还在幻想靠山寨币一夜暴富，请先看清这组数据：追踪1972个市值曾超5000万美元的代币，最终仅4.1%跑赢比特币，收益中位数是亏损97%，73%的代币回撤超90%。这不是市场寒冬的偶然，而是山寨币的宿命。
为什么山寨币注定难逃归零？
发行门槛极低，每年成千上万个新项目涌入，分流有限资金；多数项目缺乏真实商业价值，估值全靠叙事和情绪支撑；代币解锁机制更是定时炸弹——机构以极低成本入场，散户接盘后迎来天量抛压。更残酷的是，当市场恐慌时，流动性瞬间蒸发，你连止损的机会都没有。
生存法则：如果你非要参与
第一，把90%以上仓位留给比特币，山寨币只用作“彩票仓位”，亏光不心疼；第二，只选赛道头部项目，公链、DeFi、AI等细分领域的前两名（$SOL 、$PUMP 、$UNI 、$HYPE、$ETH），其他基本都是炮灰；第三，绝不追高，只在大盘企稳、板块轮动初期小仓位试探；第四，严格设止损，-20%无条件离场，绝不补仓摊薄成本。
绝大多数山寨币最终只会成为你投资路上的学费。记住：在这个市场，活着比什么都重要。慢，才是最快的路。
$BTC $DOGE (1H) – Ascending Moving Average Ribbon
Bias: LONG
Entry Zone: 0.07005 – 0.07020
Stop Loss: 0.06975
TP1: 0.07050
TP2: 0.07090
TP3: 0.07130
Why this setup:
Price maintains a clean bullish curve off the 0.06940 base, holding support above the stacked MA5 (0.07009), MA10 (0.07004), and MA20 (0.06989) levels to target a breakout of 0.07036.
NFA – Educational purposes only.
#AIInfraEarningsWatch #CPIToResetFedBets #AIInfraFundingDiverges $DOS 这波到顶了吗？
dos刚刚那根针再次突破了新高0.5391，这会肯定有很多宝子在想这个位置还能不能追涨！
从当前的盘面来看新币上线波动肯定大，也会有大波抛压，刚刚还上线了泡菜国交易所利好已经兑现，这个位置还是不要盲目的追涨。
杨哥在0.485附近进场的多单已经浮盈了65%，已经带了成本损格局一下
$BEAT $BICO #财报观察员：AI基建财报接力登场
#本周三CPI公布，9月加息定价会改写吗？ #现货ETF资金分化，BTC卖压仍在 8 月 10 日 BTC 现货 ETF 净流出约 1.446 亿美元，ETH ETF 同样转为约 1460 万美元净流出。与此同时，链上卖压并没有消失。Lookonchain 监测到，一名巨鲸过去三周累计卖出 7513 BTC，价值约 4.87 亿美元；另外一个疑似矿工相关地址，过去三周累计向 Binance 转入 6494 BTC，约 4.2 亿美元。
但有意思的是，这么大的筹码往市场上压，BTC目前依然守在 6.4 万美元附近。
所以现在我反而不会单纯看空。
真正值得盯的是：ETF资金如果重新转正，而巨鲸卖压逐渐衰减，6.4万美元这一带可能就是多空重新定价的位置；但如果ETF继续流出，链上又持续往交易所送币，那下方支撑还会继续被测试。
接下来最大的变量就是 CPI。美国劳工统计局确认，7 月 CPI 将在 8 月12日 8:30 ET 公布。
这一轮不是没有买盘，而是买盘正在和巨鲸抛压硬碰硬。谁先衰竭，下一段方向基本就出来了。@OKX星球 Traditional assets such as US stocks are being implemented through the integration of wallets and on-chain protocols, finding a convergence point for cross-market liquidity on-chain. Against the backdrop of high-interest US stocks and crypto assets linking to crypto assets, asset listing brings direct ecosystem use cases and value capture mechanisms to $OKB. If traditional financial assets such as bonds and funds continue to expand, the momentum for token valuation reshaping will be released simultaneously. If cross-jurisdictional regulatory constraints tighten or on-chain US stock liquidity is under pressure, the upward pace will slow accordingly. The next step is to focus on on-chain US stock trading volume and premium changes.
#贝莱德IBIT换购门槛降至100万美元 #CLARITY表决推迟至9月, the supervision window has been moved backwardCrowding and Crowding List
High fees are not the conclusion, and low rates are not opportunities; what really matters is the return on your position.
$DOS Current rate -0.7849%, closed in the past 24 hours -2.344%, at the 20th percentile of the most recent sample. Price decline increases positions, new leveraged funds are participating in this downward phase. Bears continue to expand positions at high costs; this is not a bottom-fishing signal; the real risk is adding positions without falling. Historical samples have only 5 settlement points; percentiles are temporarily auxiliary.
$SKHYNIX Current rate +0.0996%, closed in the past 24 hours +0.167%, at the 75th percentile of the most recent sample. Prices are down, so are open positions; the ebb tide of position is more certain than direction attribution. Open interest is declining, crowded positions are retreating first, and the current focus is when the reduction pace will slow down.
$BEAT Current rate +0.0598%, closed in the past 24 hours +0.222%, at the 97th percentile of the most recent sample. Expanding positions while falling is accompanied by selling pressure with new positions, but still cannot rely solely on OI to confirm the direction of short positions. Prices fall, OI increases, while rates remain positive; this misalignment is more sensitive to bulls.AI Is Bidding For The Rails
Compute Eats Capital
The AI trade moved further out of the demo room and into project finance: Nvidia is reportedly lining up a 500b financing effort with Apollo, Blackstone, BlackRock, Goldman Sachs, KKR and Brookfield, while Big Tech AI CapEx is estimated to hit a record 2.4% of US GDP in 2026. BlackRock’s Larry Fink said AI will require more than 70 gigawatts of power, and Meta announced a 1b fund for US cities hosting its AI data centers. The non-obvious crypto angle is power competition: Keel shuttered all US bitcoin mining operations to pivot fully to AI, which says the compute stack is now bidding directly against hashpower for infrastructure.
Agents Hit Reality
The cleanest AI risk signal today was not a lab benchmark; it was an agent booking a gym class, reportedly finding a software vulnerability and kicking another member off the waitlist to secure a spot. Decrypt also flagged hidden text in PDFs hijacking an AI assistant, while North Korea’s Kimsuky is reportedly integrating AI into cyberattacks targeting crypto and finance. That is the uncomfortable middle ground: agents do not need to be superintelligent to become operational security problems; they only need permissions, tools and sloppy boundaries.
$BTC
#BTCETHETFFlowsDiverge I'm bearish on SpaceX
Starting August 20, internal shares will be unlocked in batches. In September, 44% of internal shares can be sold, with pressure continuing until December 8. By then, the free market will expand nearly tenfold, greatly increasing the number of chips. Refer to Facebook's 2012 account on August 20. When the negative news materializes, it will turn positive, so go long either way, referencing the first unlocked rally on August 6
$SPCX Flash Rescue 联合创始人 Darcy 披露，面向中国受害人的资金盘项目 ODY 于 7 月 28 日增发 100 亿枚代币，并从交易池取走约 1500 万 USDT。目前其追踪到的 ODY 关联归集资金至少为相关规模。业绩暴涨372%，股价却跌了47%——闪迪的投资者日，是一场“自救”还是一场“反转”？
你见过这种公司吗？
营收89.7亿美元，同比暴涨372%。
利润是去年同期的135倍。
毛利率84.6%，高到离谱。
董事会还批了140亿美元回购计划。
然后，股价两天跌了10%以上。
从6月历史高点2354美元，一路跌到1238美元——市值蒸发47%，1500多亿美元没了。
你没看错。
这就是闪迪。
财报出来的那天晚上，我盯着屏幕看了十分钟。
营收超预期、利润超预期、毛利率超预期、回购超预期——四个“超预期”叠在一起，盘后跌了7%。
什么逻辑？
因为下一季度的指引“不够惊艳”。
闪迪预计下一财季营收103亿到108亿美元，中值105.5亿——而华尔街最乐观的预期是111.6亿。
就差6个亿。
6个亿的差距，市场用1500亿市值来惩罚。
华尔街现在要的不是“好”。要的是“完美”。
更扎心的是，闪迪这一轮上涨的真相。
很多人以为营收暴涨372%是因为全球存储需求大爆发。
错。
管理层亲口说了：环比51%的营收增长里，只有三分之一来自出货量变多——剩下三分之二，全靠涨价。
这不是需求撑起来的繁荣。
这是涨价吹出来的泡沫。
TrendForce的数据显示，2026年二季度NAND合约价环比涨了70%到75%。但三季度涨幅骤降到20%左右。
涨价的车轮，正在减速。
但事情的另一面，也很有意思。
闪迪已经签了10份“新商业模式”长期协议，锁定了8个核心客户未来四年的供应。
2027财年超过一半的供应已被提前锁定，2028财年约三分之二已有安排。
这些协议预计最低收入939亿美元，客户违约保障165亿美元。
CEO在电话会上说了一句话，我印象特别深：
“过去我们只能预判3个月以内的需求，如今手握四年以上锁定采购量。”
从“看三个月”到“看四年”——这才是真正的质变。
所以，8月13日的投资者日，闪迪管理层要回答的核心问题只有一个：
你到底是一家靠涨价吃饭的周期性公司，还是一家靠长期协议穿越周期的平台型公司？
市场现在选择相信前者——所以股价从高点腰斩。
但如果管理层能在投资者日上证明后者——证明NBM协议不是摆设，证明AI存储需求不是短期脉冲而是长期趋势，证明84.6%的毛利率不是顶点而是新常态——
那现在的1238美元，可能就是未来的底部。
市场从来不怕公司赚得少。
市场怕的是——你不知道自己明年还能不能赚这么多。
闪迪用10份长协、939亿美元的最低收入保障，试图回答这个问题。
但投资者还没被说服。
8月13日，就看管理层能不能讲好这个故事了。
$SNDK $SKHYNIX $SAMSUNG #闪迪8月13日投资者日临近，财报分歧待解 Broadridge disclosed that its distributed ledger buyback platform DLR processed over $8 trillion in transactions in July, averaging about $365 billion per day, a year-on-year increase of 28%.
This figure is not the TVL of public blockchains, nor the $8 trillion inflow into crypto. It corresponds to institutions using distributed ledgers to complete buyback settlements and real-time transfers of tokenized collateral within existing trading and clearing systems.
Such news does not stimulate the price but indicates that on-chain settlement on the institutional side has already generated considerable business volume.AI infrastructure is becoming as much a financing story as a technology story. Nvidia’s platform with BlackRock, Blackstone and Goldman Sachs targets more than $500B in third-party capital for customer data centers and GPUs, though deals remain pending. Intel, meanwhile, may lift its own offering from $15B to about $20B after attracting over $100B in orders.
The distinction matters: external capital can support customer demand, while equity issuance funds Intel’s own buildout and raises dilution questions. As spending scales, funding structure may become a sharper valuation signal than headline demand alone. Not advice, just analysis.
#AIInfraFundingDivergesMarkets Are No Longer Watching the Deal. They're Watching Whether It Can Be Implemented.
Markets initially welcomed reports that Iran and Oman had reached a preliminary understanding on new shipping arrangements through the Strait of Hormuz.
Now, attention has shifted.
The biggest questions are no longer about whether an agreement exists—but whether commercial shipping can actually resume under increasingly complex conditions.
Reports suggest unresolved issues include sanctions compliance, insurance coverage, transit rules and enforcement responsibilities. Iran's parliament is also considering tighter transit regulations, adding another layer of uncertainty.
This matters far beyond the energy market.
The Strait of Hormuz handles roughly a fifth of global oil shipments, making it one of the world's most strategically important trade routes.
If disruptions persist, higher oil prices could keep inflation elevated, complicate central bank policy and delay expectations for easier monetary conditions.
That's where crypto becomes part of the story.
Bitcoin doesn't trade on shipping lanes.
It trades on liquidity.
And liquidity is heavily influenced by inflation, interest rates and broader macro conditions.
Sometimes the most important crypto catalysts begin far outside the crypto industry itself.
Do you think geopolitics will play a larger role in crypto markets over the coming years than many investors currently expect?
Share your thoughts below 👇 #HormuzDealUnresolved 带 Polymarket Developers 附属的 Builder fireplace 宣布将关闭
从 1 月下旬主网上线到关闭仅半年多一点的时间，期间还曾融了 150 万美元
世界杯结束后，预测市场或正在迎来一场寒冬，这对小型终端平台更是打击
Polymarket Builders 数量超过 450+，但周交易量已连续 5 周下滑，后面陆续关停的小平台可能不在少数SpaceX's short squeeze this week was quite resolute, not even looking back three times, allowing the bulls who had been suppressed for two months to breathe a sigh of relief.
Yesterday, it closed up 4.23% at 138.74, maintaining stability. Besides itself, the market speculates that RKLB's earnings report and the failed launch of Zhongxing 4B may also affect SPCX's stock price, but in reality, the main logic is its own independence.
For commercial space, launch itself is just infrastructure, while the functions of satellites are the business itself. Now the entire industry is turning into a mini SpaceX; the battle over business models is over, and what remains is the battle of scale.
The failure of the Long March 7 modification will raise SpaceX's reliability premium and put the brakes on China's narrative of weakening SpaceX's technological scarcity. It may help the current short-term squeeze, but it won't be decisive. If the final fault investigation confirms the problem is with the YF-100 engine, the shared heart of the new generation Long March family, then it's very likely that the bear catalyst hanging over SPCX's Q4 will be delayed.
Tomorrow night's CPI data should not be lower than last month's, since oil prices have already started rebounding since early July. But it shouldn't be very high, because oil prices have a lag in transmission and most of the rebound will be reflected in next month's data. Judging from today's gold price movement, the current pullback feels more like a rally to take profits and wait for CPI, rather than proof that the market has completely ruled out the risk of a rate hike. Therefore, it's not advisable to be bullish in US stocks before the CPI data is released $SPCX 🚨 SEC 8月14日啟動首個重大加密規則制定
美國SEC將於本週五舉行公開會議，正式提案「Reg Crypto」，為特定加密資產投資合約建立量身定制的發行機制。這是SEC首次針對加密啟動正式規則制定。
原本備受期待的CLARITY清晰法案在參議院延遲，未能在休會前推進。但SEC選擇加速行動，顯示監管並未因國會卡關而停滯。
對市場的影響：短期可能出現波動，但中長期將提供更明確的合規路徑，有助吸引機構資金、降低不確定性。
我的觀點是——現在市場不會只押注在清晰法案上了。有了SEC主動推進規則制定，加密市場的價格應該會更穩定，不再過度依賴單一立法結果。監管明確性正在增加，這對長期發展是好事。That's ruthless! Nvidia's "getting something for nothing" tactic, crushing Intel to the ground? 🤯
Truly amazed by NVIDIA's financial skills! 👇
🔥 Nvidia's Actions:
They teamed up with BlackRock and Blackstone to form a $500 billion financing platform.
To put it simply: I want to sell a shovel, but the client can't afford it? No worries, I borrow money from a Wall Street tycoon to the client, and the client will use the money to buy my shovel!
This is a top-tier business closed loop: not only do they sell goods, but they also make money from finance, barely losing money.
🩸 Intel's situation:
Looking at Intel, it raised 20 billion yuan by issuing new shares and diluted its equity. Although subscriptions were booming (over 100 billion in demand), this was clearly "surviving from blood loss," forcing them to seek money from the market to make chips.
💡 Insights for retail investors:
When looking at a company, it's not just about its products, but also about its 'ability to make money.' Nvidia, which can mobilize external capital to help run its business, is the true king.
Beware of "all the good news is exhausted." Although Intel's replacements are positive (with funds to expand production), the short-term equity dilution is real, so don't rush blindly.
AI infrastructure is still in the money-burning phase. Whoever can get the money at lower cost will survive until the end. So far, Old Huang has hit the jackpot.
Do you think Intel can turn things around this time?
#AI基建融资升温, Nvidia and Intel are diverging in their paths 1. First News: Trump Reveals Three U.S. Strategies Regarding Iran
1. Core information breakdown
- Source: Xinhua News Agency cited a report from Qatar's Al Jazeera on the 11th, stating Trump's public statements in an interview with "Real American Voice."
- Core content: The U.S. has three strategies toward Iran: monitoring the deterioration of Iran's situation, launching a fierce strike on Iran, and putting pressure on Iran's economy; At the same time, it is clear that the U.S. controls a large amount of Iranian funds and assets, completely under U.S. control
- Market sentiment tags: 6 positive, 20 negative; overall market interpretation is biased bearish
2. Analysis of geopolitical and economic impacts
- Geopolitical risks are rising sharply: Among the three strategies, the military option of "launching a fierce strike on Iran" directly shatters expectations of relative stability in the Middle East and may trigger military conflict risks in the region. As a major global energy exporter, Iran's conflict would directly impact the global crude oil supply chain, driving up oil prices and global inflation expectations.
- Iran's economic pressure intensifies: The U.S. already controls a large amount of Iran's financial assets, and combined with its economic pressure strategy, Iran's foreign trade and financial activities will be further restricted, increasing domestic inflation and exchange rate collapse risks, and also affecting the supply stability of the global energy market.
- Rising global risk aversion: Geopolitical conflict risks directly reduce risk appetite in global markets, causing funds to flow into safe-haven assets such as gold, US Treasuries, and the yen, putting pressure on global stock markets—especially high-risk emerging market equities.
2. Second News: Bitunix analysts interpret the impact of nonfarm payroll data and exchange rate interventions
1. Core information breakdown
- Core Event: U.S. nonfarm payrolls unexpectedly fell by 23,000 in July, and combined with Japan-U.S. exchange rate interventions, global concerns about high funding costs have intensified
- Market core focus: US July CPI data and capital efficiency in the AI industry
- Core interpretation logic: The decline in nonfarm payroll data → cooling the U.S. labor market→ shattering expectations of economic overheating→ the market reassessing the Fed's monetary policy path→ increasing the urgency of rate cuts→ but economic weakness weakens growth support→ and risk aversion further increases funding cost pressures→ data becomes a key turning point to reverse, pointing to a substantial weakening of U.S. economic growth momentum
- Market sentiment tags: Positive 3, Negative 4; the overall market interpretation is biased toward negative sentiment
2. Macro and market impact analysis
- Federal Reserve monetary policy expectations have completely reversed: Nonfarm payrolls are a core leading indicator of the US economy. The unexpected decline directly proves the cooling of the US economy. Market expectations for the Fed will shift from "maintaining high rates longer" to "cutting rates earlier/faster," putting pressure on the US dollar index and causing Treasury yields to fall in line with rate cut forecasts.
- The contradiction between funding costs and asset valuation: Although rising rate cut expectations will keep funding costs down in the long term, short-term market risk aversion to economic recession can actually push up actual funding costs, putting pressure on valuations of global high-risk assets (especially high-valuation growth stocks and AI sector assets), because rising funding costs directly compress asset valuation space.
- Intensified exchange rate market volatility: Japan-US exchange rate intervention means Japanese authorities have begun intervening in yen depreciation. Yen appreciation will directly affect the profits of Japanese export companies and also change the flow of funds in global exchange markets. The USD/JPY movement will become a key variable affecting global stock and bond markets.
- Core market anchor for the future: July CPI data is a key constraint on the Fed's monetary policy—if inflation remains high, the Fed's rate cut pace will be limited; If inflation falls in tandem, rate cut expectations will further strengthen. At the same time, the capital efficiency of the AI industry determines whether the previously favored AI sector can maintain high growth, directly affecting the performance of global tech stocks.
3. Summary of the overall market impact of the two news stories
Both pieces of news point to a decline in global market risk appetite and a rise in risk-averse sentiment:
1. Geopolitical Level: The U.S. tough stance on Iran has directly increased Middle East geopolitical risks, benefiting safe-haven assets like crude oil and gold, and negatively affecting global risk assets.
2. Macro Perspective: U.S. nonfarm payroll data was unexpectedly weak, indicating weakening economic growth momentum. Although expectations for rate cuts have risen, concerns about a short-term recession will weigh on risk assets, while dollar pressure will benefit non-U.S. currencies and emerging market assets.
3. Overall Transmission: The combination of these two pieces of news will drive global capital to shift from high-risk stock and growth stocks to safe-haven assets such as gold, US Treasuries, and the Japanese yen, leading to significant short-term market volatility.
$BTC $ETH
#现货ETF资金分化, BTC selling pressure remains 百年前的華爾街傳奇：利摩爾（Jesse Livermore）如何預判崩盤？
Jesse Livermore 是20世紀最傳奇的投機者之一，被稱為「華爾街大熊」。他最著名的兩次大勝：
1907年金融恐慌做空市場
1929年華爾街崩盤前建立巨大空頭倉位
其中1929年的交易，據記載讓他賺取約1億美元（當時金額），成為金融史上最著名的空頭交易之一。
但真正值得研究的不是「他猜中了崩盤」，而是：
他不是預測日期，而是觀察市場結構正在崩壞。
一、他看的是「市場整體」，不是單一股票
早年的利摩爾喜歡研究個股，但後來他改變：
牛市買多，熊市做空，跟隨市場主要趨勢。
他認為股票不是獨立運動，而是受到大盤趨勢控制。
這個思想和現在的：
Dow Theory
市場廣度
資金流
宏觀週期
其實非常接近。
二、1929年前，他看到5個危險信號
① 人人都相信「這次不一樣」
1920年代美股大牛市：
散戶大量入場
槓桿買股盛行
股票成為全民致富工具
當市場開始出現：
「股票只會漲」
這是利摩爾非常警惕的信號。
今天類似：
AI不可能泡沫
科技股永遠高估值合理
每次回調都是買入機會
② 成交量放大，但價格推進變弱
利摩爾研究「價格行為」。
他會觀察：
上漲是否容易？
下跌是否開始加速？
買盤是否無法推高價格？
例如：
股價：
100 → 120 → 130
但是：
成交量增加
漲幅縮小
代表：
大資金可能正在派發。
這和現在的：
Wyckoff Distribution
Volume Spread Analysis
Smart Money Concept
非常接近。
③ 領漲股開始失去力量
牛市末期通常：
第一階段：
優質股票領漲
第二階段：
二線股票補漲
第三階段：
垃圾股狂飆
1929年前市場也是如此。
當弱公司都開始暴漲，代表市場最後的流動性正在燃燒。
④ 信用槓桿過高
1929年前大量投資者使用保證金買股。
市場上升：
槓桿 → 更多買盤 → 更高價格
形成泡沫。
但反過來：
價格下降 → 保證金追繳 → 被迫賣出 → 崩盤。
這也是今天：
融資交易
期貨槓桿
加密貨幣爆倉
同一個邏輯。
⑤ 他等待「市場確認」
利摩爾不是看到泡沫就立即做空。
他的核心：
市場證明我對了，我才加倉。
例如：
先觀察：
重要支撐跌破
反彈無力
趨勢轉空
然後逐步增加空頭。
這點非常重要。
很多交易者：
看到高估 → 馬上空
結果：
泡沫可以繼續半年甚至幾年。
三、利摩爾1929年的操作模式
大概流程：
第一階段：
牛市中持有多頭。
↓
第二階段：
開始感覺市場異常：
股票估值極端
投機狂熱
趨勢開始疲弱
↓
第三階段：
建立空頭。
↓
第四階段：
崩盤確認後加碼。
1929年崩盤時，他獲得巨大收益。
四、但利摩爾最大的教訓：會預測，不代表能守住錢
他的悲劇：
曾經賺到巨大財富
後來又多次破產
最終人生悲劇收場
原因：
不是技術不好。
而是：
沒有永遠控制風險。
例如：
過度集中
過度槓桿
相信自己判斷
五、如果套用到今天市場
利摩爾的方法可以轉化成：
牛市末期檢查表
✅ 市場估值極端
✅ 散戶狂熱
✅ 媒體全部看多
✅ 弱質股票暴漲
✅ 成交量放大但漲幅下降
✅ 領導股跌破重要均線
✅ 信用槓桿增加
當多項同時出現：
不是馬上做空。
而是：
降低倉位，等待市場確認。
其實你之前研究的 Wyckoff、SMC、Willy Mid Tri + SMA200、AI泡沫後半段資金輪動，跟利摩爾的思想很接近：
他看的不是「新聞」，而是：
資金 → 趨勢 → 群眾心理 → 市場結構。
利摩爾最經典的一句話：
「市場永遠不會錯，只有人的看法會錯。」
這也是為什麼100年前的方法，到今天仍然有人研究。#USWeighsIranStrike #HormuzDealStillPending
◇ Vai trò của Bắc Kinh trong các thỏa thuận hòa bình tại Vùng vịnh !
* Là khách hàng mua dầu lâu năm và lớn nhất của Iran
* 40% lượng dầu nhập vào Trung Quốc đến từ Hormuz
* Là một phần đối tác quân sự cho Iran
* Có sự ảnh hưởng nhất định tại Vùng vịnh
* Từng hòa giải thành công xung đột Saudi Arabia - Iran năm 2003
* Lợi dụng xung đột để giảm uy tín của Mỹ, tăng cường hình ảnh đế quốc mới với khẩu hiệu "Có trách nhiệm, không can thiệp quân sự"
◇ Bắc Kinh có thể làm được gì khi tham gia tiến trình hòa giải ?
* Với tư cách khách hàng/đối tác quân sự lớn nhất, Bắc Kinh hoàn toàn có thể ép buộc hoặc đưa ra các gói ưu đãi về hỗ trợ kinh tế/quân sự khiến Teheran phải giảm căng thẳng và mở lại eo biển Hormuz.
* Thực tế thì Trung Quốc không hề muốn Mỹ chiến thắng, lại càng không muốn Iran tiếp tục leo thang căng thẳng khiến cho tuyến hàng hải huyết mạch Hormuz bị chặn lại. Ảnh hưởng trực tiếp lên an ninh năng lượng của Trung Quốc.
* Giữ kết nối liên tục với Wasington khi mà Teheran từ chối đàm phán trực tiếp.
◇ Kết quả và thời gian để đạt được thỏa thuận hòa bình ?
* Ngay sau khi Bắc Kinh tuyên bố sẽ tham gia trực tiếp vào các thỏa thuận hòa bình, các đợt tấn công của cả 2 bên đều trong trạng thái tạm dừng.
* Các quốc gia Vùng vịnh (Qatar, UAE, Saudi, Oman ...) bắt đầu cảm thấy mệt mỏi vì chiến tranh kéo dài, ảnh hưởng trực tiếp đến kinh tế và dân sự tại đây.
* Trước mắt sẽ có một thỏa thuận tạm thời (Có thời gian) để mở eo biển Hormuz, giảm hoặc tạm dừng các hoạt động quân sự. Một thỏa thuận hạt nhân sẽ là bước cuối cùng để hoàn thành sứ mệnh hòa bình cho các bên.
* Khả năng cao là trong tuần này sẽ có 1 thỏa thuận để mở cửa Hormuz, cuối tháng 8 sẽ là các cam kết về việc dừng các hoạt động quân sự giữa các bên (Bao gồm cả Lebanon và Palestine). Trong khoảng giữa hoặc cuối tháng 9, một thỏa thuận hạt nhân sẽ chấm dứt xung đột tại khu vực này.
♡ Thị trước sẽ tiếp tục đi ngang ít nhất đến hết tháng 9/2026 "Money in the Market Is Rotating, but BTC Has Not Taken Over"
August 11, 2026 · Tuesday
Third Quarter · Issue 98
Aspirin · Period analysis from the perspective of a data scientist
Semiconductors gave up their main tables, and medical, gold, and financial sectors moved up; BTC still stood at the doorway.
At the close of US stocks on August 10, the semiconductor ETF SMH fell 2.32%, and the Nasdaq ETF QQQ fell 0.31%. On the same trading day, medical XLV rose 1.67%, gold GLD gained 1.03%, financial XLF gained 0.40%, and the Equal Weights S&P RSP edged up 0.07%.
One night is not enough to announce the recession of AI trading, nor does it show that a broad bull market has spread. A closer explanation to the market is that the most crowded positions are starting to loosen, with funds shifting to seek cash flow, low volatility, and safe-haven properties.
This is important for BTC. Every dollar sold by chip stocks does not automatically flow into the crypto market. Whether there is new capital in the market determines whether this is a healthy rotation or if the high-level rally is reducing risk.
1. Last night's board showed a seating chart
If risk appetite truly fades across the board, equal-weight indices, financials, and healthcare usually won't all be supported simultaneously. RSP closing in the red indicates that buying pressure hasn't disappeared; If SMH has dropped significantly more than QQQ, it means capital is starting to pick the most expensive and crowded parts of the AI chain.
Long-term demand for AI has not been overtaken by a single day of decline. The problem lies in price and positioning: when a sector already carries the most optimistic earnings expectations, with just a few fewer surprises in earnings, financing costs, or capital expenditures, marginal funds will seek cheaper seats. Healthcare has stable cash flow, finance benefits from high interest rates, and gold provides insurance against inflation and policy errors. They all strengthened together last night, perfectly outlining current capital preferences.
So, just because the index is still at a high level doesn't mean its internal structure hasn't changed. If you only focus on the rise and fall of the S&P or Nasdaq, it's easy to miss the moment when the seats have changed.
2. Market leverage is very high, and the index's strength increasingly relies on internal relays
The latest disclosure of FINRA margin liabilities stands at $1.502 trillion, up 49.02% year-on-year. Meanwhile, the VIX remains near 15, and the ICE BofA high-yield bond spread was only 270 basis points as of August 7.
This set of data is quite awkward: both positions and leverage are high, option protection remains cheap, and the credit market has not sounded the alarm. The market has not yet entered forced deleveraging, but there is no thick buffer cushion left.
In this environment, it's hard for the same capital to support semiconductors, gold, healthcare, finance, and BTC all at once. It constantly compares odds: where expectations are too high, withdraw a bit; Where the market has fallen longer and cash flow is more stable, just sit for a while. Rotation itself isn't pessimistic, but it reminds us that index strength increasingly relies on internal relays.
Comprehensive diffusion requires more accommodative financial conditions. Equivalent indices have strengthened continuously, credit spreads have remained flat, the dollar and long-term yields have retreated, and with crypto ETFs flowing back again, the market has shifted from shifting seats to adding tables.
3. Why hasn't BTC received this blow yet?
Last week, US spot BTC ETFs saw a cumulative net inflow of $865.3 million, while ETH ETFs saw a net inflow of $243.7 million. However, prices failed to form a significant breakout, and BTC is still stalling around $64,000.
By August 10, BTC ETFs had a net outflow of $144.6 million, and ETH ETFs had a net outflow of $14.6 million. A single day of outflows does not equal a trend reversal, but it does indicate that marginal buying is not continuous. A bullish candlestick over the weekend can come from thin liquidity; continuous ETF subscriptions are closer to a relay of real money.
When funds flow from chips to healthcare and gold, BTC may continue to move sideways; Only when new risk budgets emerge or the dollar and long-term interest rates fall simultaneously will BTC be more likely to shift from "spectator rotation" to "participating in spread."
I prefer to treat ETF capital flows as a thermometer rather than every candlestick as the answer.
4. Tomorrow night's CPI will separate rotation from ebb tide
The US CPI released at 20:30 on August 12 was the first stress test for this judgment. The data itself accounts for only half; the other half is how the dollar, long-term Treasuries, and market breadth are voted.
If CPI is moderate, long-term yields and the dollar retreat, RSP continues to outperform QQQ, and spot ETFs resume net inflows, this rotation has the potential to turn into healthier upward spread. BTC climbing back above $65,500 and holding it would be a direct signal of the crypto market's takeover.
If CPI is hot, yields rise, SMH and BTC continue to be under pressure, and even RSP, financials, and healthcare turn from rising to falling, then the water level is falling. If the VIX breaks above 25 and the high-yield bond spread moves above 350 basis points, then "seat swapping" needs to be rewritten as broader de-risking.
After CPI, four factors will determine whether this judgment can be kept:
Can RSP consistently outperform QQQ, while the S&P does not disrupt the upward structure;
Whether the VIX can remain below 20 and whether the spread on high-yield bonds can stay below 300 basis points;
Whether BTC ETFs will resume net inflows, and whether the price can recover $65,500;
After CPI, is gold's strength accompanied by a decline in the US dollar, or is it due to demand for risk insurance?
Semiconductors only fell for one day; it's too early to write an end to AI trading now; Healthcare and gold have been caught overnight, but they're not yet qualified to become new main themes. At least wait two trading days after CPI to see if funds continue to spread.
The market doesn't lack stories; what it lacks is the money that can support all of them at once.
I will continue to record the same set of cross-asset risk lights, capital flows, and subsequent verifications in the Aspirin · Cycle Lab discussion group. Judgments of right or wrong are kept in the original records, allowing the next data to make the final judgment.
#本周三CPI公布, will the pricing for a rate hike in September be rewritten? Short gold!
Gold is an interest-free asset, with no interest, cash flow, or dividends. The only core anchor for pricing is the US 10-year TIPS real interest rate, which is strictly negatively correlated.
Currently, the 10-year TIPS has a real yield as high as 2.41%, with a breakeven inflation rate of only 2.26%, meaning the real interest rate has already exceeded inflation.
A simple analogy: gold = hens that don't lay eggs; interest-bearing bonds = hens that produce eggs steadily every day.
Currently, egg production yields are very high, and people are selling chickens that don't lay eggs, naturally causing prices to drop.#AI基建融资升温, Nvidia and Intel are diverging in their paths
Can SanDisk really stand atop the AI wave, or will it be unable to escape the cycle's "peaks and valleys"?
1. Company Overview: From Consumer Storage Giant to AI Infrastructure Rising Star
Sandisk Corporation (NASDAQ: SNDK) is a global leader in flash storage solutions, founded in 1988 by Eli Harari and others, headquartered in California, USA. The company was acquired by Western Digital in 2016, and was spun off in February 2025, relisting as an independent company.
· Core business: Based on NAND flash technology, it provides storage solutions covering three major areas: data centers, edge computing, and consumer markets, including solid-state drives (SSDs), memory cards, USB flash drives, and embedded storage products.
· Market Position: As one of the world's top five NAND flash memory suppliers, SanDisk holds over 11,000 patents and has driven the development of industry standards such as SD cards. Notably, through its joint venture with Kioxia, SanDisk has secured nearly one-third of the world's flash supply at a relatively low cost.
2. Core Positive: The "Printing Machine" Model Amid the AI Wave
SanDisk's recent explosive growth in performance is entirely due to the exponential driving force of AI in storage demand.
1. Performance "explosive," gross margin surpasses NVIDIA
In the fourth quarter of fiscal year 2026, SanDisk delivered a record-breaking report: revenue of $8.965 billion, a year-on-year increase of 372%; GAAP net profit reached $6.903 billion, compared to a loss in the same period last year. Its Non-GAAP gross margin soared to an astonishing 84.6%, even surpassing AI chip giant Nvidia and setting a new record in the NAND industry. The market attributed this to a severe shortage of NAND flash memory chips.
2. Strategic Transformation: AI data centers become the core engine, long-term contracts lock in future revenue
SanDisk's business focus is rapidly shifting from the consumer market to the high-value enterprise market. Data center business revenue this quarter was $2.977 billion, a year-over-year surge of 1298%, with its shipment bits accounting for 38% of total shipments soaring from 12% a year ago to 38%. More importantly, SanDisk signed 10 long-term agreements with 8 customers through the "New Business Model" (NBM), locking in minimum contract revenue of up to $93.9 billion, with financial guarantees of $16.5 billion. This model aims to transform SanDisk from a highly cyclical chip wholesaler into an infrastructure provider with stable cash flow.
3. Potential Positives and Negatives: The Market Votes with Its Feet, Fearing the "End of the Cycle"
Despite the impressive financial report, SanDisk's stock price plunged after the report, nearly halving its historical high, which deeply reflects two core concerns in the market.
1. Price increases are driven by price increases rather than demand growth, signaling a cycle has peaked
The root of market concerns is that two-thirds of this quarter's performance growth came from product price increases rather than substantial shipment increases. Currently, the high prices of memory chips have begun to hurt downstream demand. PC manufacturers raised prices due to rising costs, causing shipment declines, and smartphone manufacturers strongly resisting price hikes. Analysts point out that when the industry's profit margins are above 70%, this is often a sign that industry prosperity is approaching its peak.
2. Lack of high-end barriers may make it difficult to escape the "boom-bust" cycle
Unlike Samsung and SK Hynix's absolute technical barriers in HBM (High Bandwidth Memory), SanDisk's global share of the enterprise SSD market is only 2-3%, making it a market follower. Institutions like JPMorgan believe SanDisk's current high profits reflect more of the industry's cyclical prosperity than of structural improvement. As major suppliers resume capacity expansion and 3D NAND technology upgrades, the industry is expected to return to an oversupply "boom-bust" model starting in 2027, at which point SanDisk's ultra-high gross margin may be difficult to maintain.
SanDisk is at a critical stage of transforming from a consumer storage brand into an AI storage infrastructure provider. In the short term, the supply-demand mismatch brought by AI has earned huge profits; In the long term, whether it can break the inherent cyclical curse of memory chips and build a true technological moat will determine whether this is the prologue to the "king's return" or the "final celebration"#AI基建融资升温, Nvidia and Intel are diverging in their paths
Recently, financing in the AI infrastructure sector has surged, with NVIDIA and Intel taking completely different fundraising paths, and their strategic differences directly affect capital market performance.
Nvidia, in partnership with top financial institutions such as BlackRock, BlackRock, and Goldman Sachs, has built a dedicated AI computing power financing platform, planning to leverage over $500 billion in external funds. This money is not for Nvidia's own use, but is lent to downstream companies to purchase Nvidia GPUs and build new data centers, leveraging external support to boost its own hardware sales. However, after the announcement, Nvidia's stock price dipped slightly, and the market worries that massive credit volumes could increase industry debt risks, with corporate debt repayment pressure potentially passing on to hardware demand.
In contrast, Intel chose to raise its own funds for expansion, aiming to raise the scale of its share issuance to $20 billion, with market subscription demand exceeding $100 billion. All the funds raised will be invested in self-developed AI chips and factory construction, using equity dilution to strengthen its capacity and technological barriers.
Both models have their pros and cons: Nvidia leverages massive orders with light assets and expands faster, but depends on industry credit cycles; Intel's heavy-asset self-development makes operations more stable, and short-term equity dilution will suppress valuations. Overall, the influx of massive capital signals that AI infrastructure is still at the peak of expansion, but industry leverage is rising, and future oversupply and debt risks have become key concerns for investors, leading to more cautious market scrutiny of tech stock valuations.$BTC Is the sentiment really this bad now? Yesterday I saw BTC stagnating, and I thought maybe all the funds were waiting on the CPI. But the CPI hasn't even been released yet, and it already dropped below 64,000 last night? I guess some institutions are betting on the CPI exceeding expectations.
1. This week's market mainly depends on tomorrow's CPI data: the expectation is a year-over-year 3.42%, core 2.52%. If it's below expectations, it could mean no rate hike or even a rate cut, and BTC would go up; if it exceeds expectations, it will break below 62,000.
2. Institutions had net inflows yesterday, indicating some funds are withdrawing, probably because some institutions speculate the CPI data will exceed expectations. The current fear and greed index is 31, sentiment is positive, so retail investors probably won't run.
3. Regarding the CPI data and last week's non-farm payroll data, some friends asked if there could be falsification. It's actually quite possible, but consider this: government falsification is also to serve monetary policy. Non-farm payroll and CPI data themselves are meant to serve normal monetary functions, so even if falsified, interpreting policy from the data is still reasonable.
But I don't recommend betting on the CPI in advance, because retail investors' information sources are still much worse than institutions. Don't turn investing into a game of betting on size or luck. #本周三CPI公布，9月加息定价会改写吗？ #AIInfraEarningsWatch #CPIToResetFedBets #AIInfraFundingDiverges 德州Terafab项目落地的168亿美元资本开支引发了对高额现金消耗与宏观资金成本升高的担忧，自研制造在拉长投资回报周期的同时也重新定价了市场风险偏好。
168亿美元的初始投资规模集中锁定在德克萨斯州的Terafab自研AI芯片厂，这一数据将算力争夺从算力租赁直接拉入到制造端重资产出资阶段。
市场定价的核心驱动因素依次为：重资产出资带来的现金流挤压、自研芯片对长期算力成本的削减预期、以及建设周期内的流动性风险溢价。
上行剧本建立在资本开支被高效转化为产能的假设上。如果试产进度符合预期且持续需求能够消化这168亿美元的固定资产投入，市场对重资产消耗的折价将转变为对垂直整合溢价的重新计价。
该剧本下需要观察的变量为芯片产能爬坡效率与单位算力成本下降幅度，失效信号为资本支出持续超出预算且未能在预定时间内实现量产。
下行剧本则由高通胀环境与长周期现金消耗共同触发。当168亿美元的资金占用引发流动性紧张，或研发周期拉长导致资本回报率不及预期，短线仓位将迅速削减科技板块的风险偏好溢价。
该剧本下需要观察的变量为自由现金流恶化速度与宏观利率对重资产扩张的压制，失效信号为外部融资渠道顺畅且高毛利业务及时弥补现金流缺口。
若宏观风险偏好急剧收缩，或算力制造链出现替代性技术路径，现有关于168亿美元重资产投入能换取长期竞争壁垒的评估将彻底失效。
未来7天需重点观察巨额资本开支确认后宏观资金利率的波动，以及机构仓位在科技重资产标的上的再平衡动向。
#闪迪8月13日投资者日临近，财报分歧待解 #霍尔木兹海峡通航协议未落地，油价风险升温 #火箭实验室财报超预期，商业航天热度延续