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一、真正值得关注的，不是利空，而是利空为什么失效 2026年8月6日美股盘后，闪迪（Sandisk）与西部数据（Western Digital）同步公布2026财年第四季度财报。 从财务数据来看，两家公司交出的成绩单实际上远超市场此前预期。 其中，闪迪实现营收89.65亿美元，同比增长372%，环比增长51%；毛利率、经营利润及自由现金流均创下近年来新高，超过三分之二的收入增长来自ASP（平均销售价格）提升，而非单纯依赖出货量增长，说明本轮盈利改善主要来自行业供需格局优化，而不是价格战后的短暂反弹。 西部数据同样表现强劲，实现营收37.47亿美元，同比增长44%，毛利率继续维持高位，自由现金流保持健康，企业级SSD业务继续贡献主要利润来源。 然而，市场关注点却集中在管理层给出的下一季度营收指引。 由于闪迪预计下一季度营收约105.5亿美元，仅略低于市场此前极度乐观的预测；西部数据虽然给出的指引甚至略高于市场一致预期，却依然遭遇资金集中抛售。 开盘后，整个存储板块出现剧烈下跌。 闪迪盘中最低跌至116.7美元，西部数据最低跌至40.8美元，美光、希捷同步跳水，整个SOXX、SMH半各位，美元这两天有点动静，创了近两周以来较强的单日表现。市场开始重新押注美元了吗？
表面上看，这波上涨是市场在重新调整美联储降息预期。美债收益率回升，加上避险资金重新流入美元，美元指数站上了103.80上方，刷新了两周新高。非美货币普遍承压，日元跌了0.7%，英镑跌了0.6%，欧元也小幅走弱。
之前的逻辑是降息预期升温导致美债收益率下降、美元承压。现在变成降息推迟、利率维持更久、美债收益率回升、美元反弹。市场从押注快速降息，变成了押注降息没那么快。
但米哥的看法是，这波更像短线修复，还不能定义为美元新一轮强周期。接下来两个方向决定走势。第一是就业数据，如果美国经济继续保持韧性，降息预期会进一步下降，美元可能继续走强。第二是通胀走势，如果通胀持续回落，美联储打开降息空间，美元反弹就会受限。
美元短期还有支撑，但长期仍受到降息周期和财政压力的影响。对币圈来说，美元走强通常会压制BTC和高估值科技股。但如果后续降息逻辑重新升温，资金可能再次回流风险资产。
市场现在交易的，不只是美元的涨跌，而是美联储下一步到底怎么走。各位怎么看这波美元反弹，是短期修复还是趋势反转的信号？评论区聊聊你的判断。祝大家今天交易顺利。#联储鹰派信号升温，弱就业能否压过通胀？ $SNDK 为什么业绩超预期还跌？以及存储行业是不是已经供过于求？
#存储股财报后下挫，AI内存牛市还稳吗？
先说结论：
目前闪迪下跌，更多是“预期太高”而不是“行业崩了”。
存储行业暂时没有明显产能过剩，反而AI服务器相关存储仍偏紧。
为什么业绩超预期还跌？
资本市场看的是：
未来预期 > 当前业绩
这次闪迪财报实际上非常强：
* 收入超预期
* AI数据中心收入暴增
* 利润超预期
* 长期订单继续增加
但市场仍然砸盘，主要因为：
1. 股价提前涨太多
2026年以来闪迪已经涨了数倍。
很多机构的逻辑是：
不是看你好不好，而是看你有没有比预期更好。
结果：
* 财报好
* 但没有“特别炸裂”
于是资金获利了结。
2. 指引没有达到最乐观预期
市场原本期待：
* NAND继续疯狂涨价
* 毛利率继续提升
但公司给出的未来指引偏保守：
* 收入预测略低于部分华尔街预期
* 毛利率增长开始放缓
所以市场解读为：
最疯狂的时候可能快过去了。
3. AI板块整体估值开始压缩
最近不仅闪迪跌：
* 西部数据跌
* $MU 跌
* $SKHYNIX 跌
属于整个存储板块一起调整。
这更像：
板块调整
而不是公司爆雷
那存储是不是已经超量了？
我的判断：
消费电子 NAND
有点接近供需平衡。
因为：
* 手机增长有限
* PC增长有限
这部分确实不像以前那么强。
AI服务器存储
目前仍然偏紧。
原因：
AI数据中心需要：
* SSD
* NAND
* HBM
* DRAM
需求远超传统时代。
闪迪管理层此前甚至表示：
存储市场未来较长时间仍可能处于供给偏紧状态。
未来真正危险的时间点
如果出现：
1. 三星扩产
2. 海力士扩产
3. 美光扩产
4. 中国长存大规模放量
而AI需求增速下降
那么：
2027-2028可能再次进入：
存储过剩 → 价格暴跌 → 周期下行
这是存储行业历史上反复发生的事情。
不过目前公开信息看，机构普遍仍认为2026-2027供给偏紧。
对闪迪股价怎么看？
短期：
* 可能进入财报后的估值消化期
* 继续震荡甚至回调10%-20%都正常
中长期：
如果AI数据中心需求持续增长：
* 闪迪
* 美光
* 海力士
仍属于本轮AI基础设施受益者。
#AMD财报超预期，增长已被透支？ Major news has been released! Positive?
At 20:30 Beijing time tomorrow night, the non-farm payroll will be implemented, and US stocks are set to face a key decision
At 20:30 this Friday evening, the July nonfarm payroll report will be released. This is the most important employment data since the Federal Reserve's July meeting, and it will directly rewrite September rate expectations, affecting all assets in US stocks, Treasuries, and cryptocurrencies.
Previously, ADP's small nonfarm payroll data was clearly below expectations, giving the market an early warning as employment gradually cooled.
The three data scenarios correspond to the U.S. stock market trends
Scenario 1: Nonfarm payrolls are significantly stronger than expected, and wages rise in tandem
Strong employment will delay rate cut expectations, pushing U.S. Treasury yields higher. High-valuation AI technology and storage sectors are under the heaviest pressure, while growth stocks like MU and SNDK are prone to selling pressure; Dow blue chips are relatively resilient to declines, and the overall index shows divergence.
Scenario 2: Nonfarm payrolls weaken significantly, unemployment rises
The market will strengthen expectations for rate cuts, U.S. Treasury yields will fall, which is positive for tech growth stocks. Storage and AI hardware have the opportunity to see a recovery and rebound. But one risk must be watched for: if the data is too poor, it could trigger market concerns about an economic recession, leading to a short-term broad drop.
Scenario 3: Data and expectations basically match
Employment cooled mildly, neither hot nor lukewarm. U.S. stocks continue the current tear-off pattern, with the Dow slightly strong, the Nasdaq oscillating at high levels, the market returning to earnings report logic, and sector rotation continues.
Putting aside nonfarm payrolls, the U.S. stock market will be the next outlook
1. The storage sector is currently in a phase of intense volatility following the financial report falsification. SNDK has made a deep V reversal, but the issue of downward expectations brought by the earnings report has not completely disappeared. Looking ahead, focus on whether the key support in MU can be held; holding it will mean sector differentiation and recovery; Once it effectively breaks below the threshold, the current round of storage will enter a mid-term valuation digestion phase. Don't treat the oversold rebound as a new main rally.
2. Structural market differentiation will continue to unfold. Stocks whose guidance exceeds expectations will continue to enjoy premiums; Even if profits are high, companies with conservative shareholder returns and future guidance will continue to be abandoned by capital. The broad rally has ended, making stock selection more difficult.
3. Risk points cannot be ignored. $SPCX massive unlocking pressure remains, which will occasionally disturb the market and amplify the spike volatility.
Key Targets to Watch:
$MU • $SPCX • $SNDK • $SKHY • $CL • $XAU • $NITC • $AMD
Stocks with Weakening Momentum and Capital Exits:
$BEAT • $EDGE • $COAI • $TRUMP • $RAVE • $SPACE • $SOPH • $IP • $AVNT • $ZAMA • $OFC • $PIEVERSE • $VIRTUAL • $ACU • $H • $MEGA
Waiting for signal confirmation in the observation pool:
$MEME • $EDEN • $HUMA • $ZKP • $METIS
Strong stocks favored by capital:
$JTO • $JELLY • $BTC • $OPG • $BTCSLX • $LAB • $BSB • $ALLO • $CHIP
Current market logic summary:
$BTC — The liquidity center in the crypto market, which determines the overall temperature of the market
$ETH — Institutional funds continue to build positions, gradually accumulating shares through volatility
$SOL — The elastic role of the Layer 1 sector, with considerable upside potential at market launch
$TAO & $WLD — AI remains hot and repeatedly favored by capital
$HYPE — A market speculative sentiment gauge used to assess current risk appetite
$DOGE & $ZEC — Retail investor sentiment window, intuitively reflecting short-term speculative heatCutting interest rates does not necessarily mean BTC will rise.
One of the most common linear logics in the crypto market:
Fed rate cuts → improved liquidity → BTC rose.
But history doesn't go that way.
In 2019, the Federal Reserve cut rates three times in a row, and QT ended in August, but BTC actually peaked in June and then weakened steadily.
So what truly matters is never whether interest rates are cut, but rather:
Why is the Fed cutting rates?
If inflation falls and the economy remains healthy, a precautionary rate cut would naturally benefit risk assets.
But if rate cuts correspond to declining growth, credit contraction, and worsening risk appetite, then a rate cut cannot immediately offset fundamental pressure.
That's also why I think 2019 is highly valuable for the present.
There are several similarities between 2019 and the previous BTC top:
The Fed has entered the rate cut phase, QT is nearing its end, but BTC has peaked early; The market has not experienced a full-fledged altcoin season in the traditional sense; BTC Dominance has instead remained strong.
This illustrates one thing:
A shift toward monetary policy easing can happen during a Bitcoin bear market.
Even when the Fed starts cutting rates, the market may not have finished its final clearing.
$BTC $ETH
#联储鹰派信号升温, can weak employment outpace inflation?
#黄金4200美元拉锯, why hasn't BTC risen in tandem? $USDC #Circle #USDC #稳定币 #机器经济 Circle's latest financial report reveals a set of extremely abnormal data. During Q2, USDC's on-chain trading volume surged to $14.8 trillion, soaring 151% year-on-year; However, during the same cycle, the total circulating supply of USDC increased by only 19%. Trading volume surged 151%, while circulating supply only increased by 19%. This huge gap means USDC's currency turnover rate has exploded completely. It has moved beyond the speculative market fluctuations of crypto asset cycles and is used by traditional giants like Bank of New York and BlackRock as the underlying artery for institutional clearing and cross-border settlement. But this is only the short-term surface logic; the real endgame narrative is the machine economy. In the future, the internet is shifting from serving people to serving machines. Billions of physical devices and hundreds of millions of AI agents operate automatically around the clock, purchasing computing power and exchanging resources, generating massive micropayments every second. Machines cannot open traditional bank accounts; the ACH account opening process is complicated, and the 2-3% credit card transaction fee directly paralyzes the machine economy at its root. Machine algorithms control budgets and require absolutely stable pricing targets. BTC and ETH have huge price fluctuations and are not suitable for such settlement tasks. Under the zero trust architecture, configuring native smart contract wallets for each AI Agent and relying on USDC to complete millisecond-level, frictionless micropayments is currently the most feasible engineering solution. 💡 Market Thinking PerspectiveI remember seeing an interview with CZ last year (or even earlier), where he mentioned that 2026 would kick off a crypto super cycle. At the time, I thought it was a bit far-fetched, but then I reconsidered—after all, he’s selling shovels and has always said to focus on building the ecosystem, not speculating on coins.
These days, I came across an interview with Grantham again, and it really struck a chord.
He once said:
"Those who tell the truth often don’t live to see the crash day."
Since 1929, 1972, 2000... Wall Street has experienced countless bubbles, but almost no major institution openly tells clients: "Get out of the market."
It’s not that they don’t see it, but their entire business model makes it very difficult to say that.
Grantham once conducted a survey at an analyst conference: about 400 professional analysts were present, and 99% believed the market would eventually enter a bear market. But none of their companies publicly expressed this view.
The reason is very practical.
If you warn about risks too early and the market keeps rising, clients will leave you first, not the market.
He himself experienced this: because he was bearish more than two years in advance, his business was almost halved.
Keynes’ saying might be the best summary of this phenomenon:
"You can be wrong with everyone, but never be right alone."
Then I think about AI.
Grantham said it’s one of the biggest bubbles in history, while Jensen Huang says there’s no bubble in computing power and demand is far from reaching its limit.
I don’t think Jensen Huang is lying.
It’s just that from his position, it’s almost impossible to say otherwise.
NVIDIA’s valuation, clients, capital expenditures, and the entire industry chain are all based on the premise that this computing power race will continue.
So many times, a person’s viewpoint is not just cognition but also identity.
Looking back at myself these past two years, I do feel a bit like a big fool.
Constantly warning about risks, constantly writing that cash is king.
Personally, I did avoid many big pitfalls, and my assets not only didn’t shrink but actually grew.
But externally, the feeling is not as good as during the 2022 bear market when everyone lost, retraced, and endured together.
Because during a downturn, warning about risks is called professionalism. During an upturn, warning about risks is only understood as missing out, being timid, or bearish.
If you’re right early but the market doesn’t fall, you’re wrong. When the market really falls, most people won’t remember you warned them; they might regret not listening to me back then.
But the fact has happened, and they can only be busy dealing with their losses, mindset, and the various problems reality throws at them.
Still stuck but persisting requires faith, searching everywhere for useful market information to recharge oneself. Looking back at my "cash is king" stance probably feels even more uncomfortable psychologically.
More realistically, those truly willing to listen to risk warnings don’t need you to repeat them. Those who won’t listen won’t change their positions no matter what you say.
In the end, you bear the pressure of expressing risk, while others continue to enjoy the rising market sentiment.
Now I realize that publicly warning about risks long-term is a very low cost-performance, even somewhat thankless task.
Shovel sellers must talk about super cycles, chip holders must remain optimistic long-term, and platforms that make money from trading volume can’t advise users to exit.
Only those without vested interests can say unpleasant truths.
But the problem is, truth-tellers have no commercial rewards and instead must endure ridicule, doubt, and pressure when the market keeps rising.
I guess this is the first and last time I’ll do this.
From now on, it’s an eternal bull market.
The answer is to hold long-term, the answer is to be optimistic long-term.
Find ways to collect some management fees, earn some commissions, and provide emotional value to everyone along the way.
Win hearts and profits.
Isn’t that beautiful? Isn’t that joyful? 非农前夜，别被盘中插针骗走筹码
很多人会陷入一个误区：把非农当成“开盲盒赌方向”。
实际上非农只是催化剂，它不会凭空创造一轮大行情，更多是把已经积攒的多空力量一次性释放出来。
回顾最近盘面，不管美股还是加密，已经明显进入分歧阶段。
美股存储板块上演“财报利空→砸盘→暴力V反”的过山车；币圈大盘横盘震荡，只有局部币种轮动狂欢，大量山寨依旧躺平不动。
增量资金没有大规模进场，存量资金来回博弈，这就是当下最真实的现状。
北京时间明晚20:30非农落地，市场会面对三种结局：
1、就业数据大幅走强
降息预期再度延后，美债收益率抬升。高估值成长股、AI硬件、加密货币会第一时间承压。但要分清：短期打压不等于趋势反转，急跌之后往往伴随虚假插针。
2、就业数据明显走弱
降息预期被点燃，风险资产理论上迎来利好。但这里藏着最大陷阱：如果数据差到超出限度，市场会开始交易“经济衰退”，反而出现利好落地直接跳水的行情。好数据不一定涨，坏数据不一定跌，这是非农最容易坑人的地方。
3、数据落在预期区间，不冷也不热
这也是概率最高的剧本。非农掀不起大波澜，行情重新交还财报与板块轮动。美股继续分化，存储看关键支撑；币圈依旧是BTC定基调，局部山寨轮动。
给普通交易者的现实忠告
①不要拿大仓位去博弈数据公布那一瞬间，前几十分钟绝大多数行情都是插针诱多诱空，真假难辨。耐心等15‑30分钟，等市场消化完噪音，真实方向才会浮现。
②不要把短期数据波动，当成中长期趋势改变。一个月的就业报告，改写不了大周期。
③当下选股＞选大盘。就算指数不动，部分主线依旧会跑出行情；反之就算指数反弹，很多弱势品种依旧跑不赢。
个人盘面思考：
🥇 $BTC — 把控全市场流动性，决定盘面整体做多氛围
🏧 $ETH — 筹码在不断沉淀，走稳步蓄力的格局
🚀 $SOL — Layer1赛道高弹性代表，行情来临时爆发力十足
🧠 $TAO & $WLD — AI故事持续发酵，反复获得资金关照
📊 $HYPE — 用来观测市场整体的风险承受意愿
🐾 $DOGE & $ZEC — 直观映照散户群体的多空情绪
💵资金热度集中的进攻方向：
$JTO • $JELLY • $BTC • $OPG • $BTCSLX • $LAB • $BSB • $ALLO • $CHIP
🇺🇸美股重点跟踪观察：
$MU • $SPCX • $SNDK • $SKHY • $CL • $XAU • $NITC • $AMD
📉资金退潮，上涨势能耗尽标的：
$BEAT • $EDGE • $COAI • $TRUMP • $RAVE • $SPACE • $SOPH • $IP • $AVNT • $ZAMA • $OFC • $PIEVERSE • $VIRTUAL • $ACU • $H • $MEGA
🔎等待信号确认备选池：
$MEME • $EDEN • $HUMA • $ZKP • $METIS$BTC # Storage stocks plunge after earnings, but is the AI memory bull market still stable?
Major storage companies delivered record-breaking financial reports, but their stock prices collectively plunged. The essence is not a collapse in AI memory demand, but rather a case of **profit-fulfilling under high expectations and a battle between bulls and bears**. Earlier, stock prices had fully priced in the benefits of HBM price increases and AI computing power expansion. The market was no longer satisfied with year-on-year earnings growth and began trading "whether profits could continue to exceed expectations." Once guidance shifted conservatively, funds would choose to cash in.
Short-term risks are clear: major manufacturers are accelerating HBM capacity expansion, supplier landscape is becoming more diversified, and ultra-high gross margins are difficult to sustain permanently; Cloud vendors' capital expenditures are marginally narrowing, consumer storage demand remains weak, and the price increase slope has clearly slowed. At the same time, the rise of domestic storage power is reshaping the global supply landscape and intensifying market concerns about future supply and demand.
However, the underlying logic of medium- to long-term AI memory has not been completely broken. AI training and inference continue to drive rigid demand for HBM, leading cloud providers remain full of long-term lock-in orders, and advanced HBM yield bottlenecks are constraining supply release rhythms. This round feels more like a valuation correction midway through a supercycle rather than a direct end to the bull market. Going forward, focus will be on tracking HBM quotes and cloud vendor capital expenditure guidance, distinguishing between short-term stock price fluctuations and real industry prosperity. #存储股财报后下挫, is the AI memory bull market stable? Storage stocks plunged collectively after earnings reports—is the AI memory bull market still stable?
After several storage manufacturers released their earnings reports, their stock prices generally pulled back.
Many people have begun to worry:
Has the AI memory bull market already ended?
My view is:
In the short term, the market adjusts valuations; In the long term, the market tests fundamentals.
The two are not the same thing.
Why did the stock price fall despite good performance?
High-growth industries are most likely to encounter the following situations:
It's not that the company is bad, but that market expectations are too high.
Over the past year, the AI industry chain has seen huge gains, and the market has already priced in its growth expectations for the coming years.
Therefore, financial reports should not only be "good," but also better than expected.
As long as growth slows slightly, or management's future guidance is not as optimistic as the market imagines, it is easy to see "positive news realized and stock prices falling."
This is more about valuation digestion and does not necessarily mean that an industry turning point has already appeared.
Has the core logic of AI memory changed?
At present, I don't think so.
Several core factors supporting this round of AI memory market still remain:
• Global cloud vendors' capital expenditures remain at relatively high levels;
• The demand for AI training and inference continues to grow, with strong demand for high-performance storage such as high-bandwidth memory (HBM);
• Data center construction and server upgrades are still underway;
• Industry supply remains relatively concentrated, with leading manufacturers possessing strong technological and product advantages.
These long-term logics have not fundamentally changed just because of a single financial report.
What really needs to be addressed?
Compared to short-term stock prices, I focus more on three issues:
First, have orders slowed down?
If AI-related orders continue to grow in the coming quarters, it indicates that demand has not fundamentally changed.
Second, will capital expenditure continue to increase?
AI investment plans by major tech companies like Microsoft, Meta, and Google reflect industry prosperity better than individual quarterly earnings reports.
Third, are product prices and profitability stable?
If high-end storage products still have strong pricing power, the industry boom cycle is likely to continue.
What is the short-term outlook?
In the short term, the storage sector may still be affected by:
• Profit-taking;
• High valuation corrections;
• Changes in market risk appetite;
and other factors, volatility may continue to increase.
However, if AI demand does not significantly cool down, this adjustment is more likely to represent a valuation recovery rather than a reversal of industry trends.
A post-earnings decline does not necessarily mean the end of the AI memory bull market; it may more likely indicate the market is shifting from "expectation-driven" to "earnings deliveries." What will determine the sector's future trend is not short-term sentiment, but whether AI demand can continue to grow, whether cloud vendors' capital expenditures will continue to expand, and whether corporate profits can be continuously realized. $BTC #存储股财报后下挫, is the AI memory bull market stable? $ADA Current price fluctuations are mainly driven by expectations of compliant spot ETPs. CME's ADA futures will meet the key threshold of six consecutive months of trading on August 9, combined with Grayscale's submitted Trust ETF application, promoting early positioning of gaming funds. Concentrated long positions have improved risk appetite in the short term, but caution is warranted regarding the risk of profit-taking distributions before event nodes occur. If there is no sustained spot buying after August 9 and derivatives holdings turn downward, this round of expectation drive has temporarily come to an end.
#闪迪财报双超预期, $14 billion in new buyback authorizations #西联稳定币卡落地, Visa payment scenarios advance further #联储鹰派信号升温—can weak employment outpace inflation?1. Tonight's Nonfarm Payroll Data Forecast Summary Market Mainstream Expectations: Nonfarm payrolls in July increased by 83,000 (previous value 57,000), unemployment rate remained unchanged at 4.2%, average hourly earnings rose +0.3% month-on-month and +3.5% year-on-year. A Dow Jones survey shows economists on average expect an increase of 83,000, while Reuters predicted 80,000. Institutional divisions are obvious: · Bloomberg (released 9 hours before the data release): Expected new job count of only 65,000, unemployment rate 4.3% · Bank of America: about 80,000 people · Vanguard Group: Based on pension data, only 18,000 people. Leading indicators are weak: ADP's "Small Nonfarm" shows that only 44,000 jobs were added in the private sector in July (expected 75,000); the ISM services employment index fell from 51.2 to 47.4, returning to contraction territory. Goldman Sachs also pointed out historical patterns: in recent years, July nonfarm payrolls have often been below expectations, and previous values tend to be sharply revised downward. 2. Three scenarios where data impacts the crypto market. Crypto assets are high-beta risk assets, with prices closely following US growth stocks but experiencing greater volatility. Currently, BTC is trading sideways near $64,000, with a strong wait-and-see sentiment in the market. 📉 Scenario 1: Weak data (60,000 new ≤, unemployment rising to 4.3%+) Weak employment will strengthen expectations of rate cuts, weaken the dollar, and push U.S. Treasury yields down. BTC is expected to test upward between $65,000 and $65,500. Similar weak data last week helped Bitcoin rebound to $64,000. But caution is needed: if the market directly trades in a "recession,"14倍销毁，$SOL怎么反而跌了？
14倍销毁！
每天最多烧掉65万美元！
这个标题一出来，不少人已经开始喊$SOL要“通缩起飞”了。
但市场没那么好骗。
$SOL现价约72.36美元，24小时反而下跌2.16%。原因很简单：大家交易的是“已经发生”，而这件事目前只是提案。
真实数据是：
新方案拟把每天销毁量从约650枚SOL，提高到7,500—9,000枚；同时加快降低通胀，预计未来六年减少约1,890万枚新增发行。
听起来确实猛。
可Solana现在每天仍会新增约60,000枚SOL。就算按最高9,000枚销毁计算，也远没到真正通缩。
更关键的是，提案还需在8月18日前获得足够的验证者支持，之后才能进入正式投票。
币圈最贵的利好，往往不是假消息，而是把“可能发生”提前买成“已经落地”。
我不认为这件事没价值。
如果提案通过，链上活跃度又持续增长，$SOL的长期供给逻辑确实会改善。
但现在直接喊“通缩牛市”，多少有点替主力写出货文案了。
你觉得这是$SOL被低估的长期利好，还是又一轮熟悉的叙事炒作？#联储鹰派信号升温，弱就业能否压过通胀？ #联储鹰派信号升温，弱就业能否压过通胀？
8.7今晚非农数据，最好空仓等方向，不要盲目押注$BTC $ETH 。
不是怂，是这数据根本没法押。
市场预期新增就业8到8.3万，失业率4.2%——看着还行对吧？但拆开看全是矛盾。初请失业金连降三周，裁员也在减少，一副"就业市场挺稳"的样子；可ADP才新增4.4万人，创年初以来最低，企业压根没在扩招。更关键的是劳动参与率掉到了61.5%，2021年3月以来最低。失业率没涨，不是因为岗位多，是因为找工作的人变少了。这4.2%的水分，美联储心里门清。
所以今晚真正影响市场的不是那个就业数字本身，而是就业+薪资+失业率会不会同时给通胀火上浇油。穆萨莱姆已经放话了，通胀持续高于目标的可能性在增加，他自己在最近一次FOMC上倾向加息。市场甚至开始讨论沃什9月加息的可能。这不是鸽派转鹰的问题，是鹰派已经坐在桌子上了。
更麻烦的是，沃什正在削弱前瞻性指引，以后别指望美联储给你喂饭了，市场得自己猜政策反应函数。戴蒙倒是支持改革，但他同时敲了警钟——主经纪商、对冲基金、ETF、国债套利，这些渠道的杠杆现在堆得有多高，你心里没数吗？政策沟通少了，杠杆又这么高，利率预期稍微一动，资产价格的传导速度会快得你反应不过来。
企业端也在承压。Alphabet刚要发250亿债券，Tesla还在德州砸钱建TeraFab，AI基建这头吞金兽根本停不下来。但另一边，刚果（金）禁了铜精矿和钴精矿出口，霍尔木兹海峡的风险也没消停，能源和原材料的供应约束只会把建设成本再往上顶。全球资本市场现在面对的不是单一的利率问题，是资金成本、能源成本、原材料成本三条线同时勒紧。
对加密市场来说，这种环境下比特币就是高波动性的流动性探测器。美元流动性、长端收益率、全球风险偏好，任何一个变量抖动，BTC都会先抖。如果今晚非农叠加后续通胀数据重新强化加息预期，市场承受的压力不会只是政策利率那25个基点，而是整个无风险利率和融资成本的重新定价；只有就业和通胀同步降温，风险资产才能喘口气。
所以今晚别赌。数据出来之前，空仓等方向，看美联储的反应函数怎么变，看美元和长端收益率怎么动，看清楚再下手。在这种级别的政策不确定性面前，"错过"不可怕，"押错"才致命。$SUI has remained relatively sluggish despite continued ecosystem development. While institutional adoption continues to expand, it remains unclear whether the network can break beyond its current niche and attract broader retail participation. Recent partnerships and infrastructure upgrades reinforce its long-term potential, but price performance has yet to fully reflect those developments.
A key concern remains tokenomics. $SUI still faces recurring monthly token unlocks, adding steady supply pressure at a time when revenue growth has not kept pace. That combination keeps the risk-reward profile elevated, especially if market liquidity becomes more selective.
The broader crypto market continues to favor quality over quantity. Liquidity is concentrating around major assets such as $BTC, $ETH, and $SOL, while AI- and infrastructure-related narratives remain among the strongest sectors. Many mid-cap altcoins are still struggling to attract sustained capital inflows, making disciplined position management increasingly important.
If the current rebound extends, reducing part of a $SUI position could be a reasonable risk-management approach rather than assuming an immediate trend reversal.
Another asset worth monitoring is $LDO. Ongoing governance discussions and the proposed token buyback could become meaningful catalysts if approved, making it one of the more interesting DeFi governance tokens to watch.
New observations and market findings will be shared periodically. Constructive discussion is always welcome.
#AIMemoryBullTest #FedHawksVsWeakJobs #SpaceXUnlockRebound #谷歌母公司发债250亿美元, pressure to invest in AI is intensifying
Don't be misled by clickbait like "Google is short on money."
Alphabet has hundreds of billions in cash on its books and is not short of that 25 billion. It insists on issuing bonds and even promises to issue them every six months in the future—a signal far more powerful than the numbers themselves: even the giants believe the AI arms race is a 10-year money-burning scheme, using low-cost bonds to lock in long-term ammunition without consuming equity.
My opinion is straightforward:
• This is not AI narrative falsification; AI is entering a "debt-driven period." Going forward, Oracle, Amazon, and Meta will all do this, and the flood of tech bond supply will continue to push long-term U.S. Treasury yields higher.
• Short-term bearish for crypto, long-term bullish bias—don't be negative. Short-term: Institutional funds are being absorbed by investment-grade tech bonds, risk-free returns are high, BTC/ETH valuations are under pressure, and while US stocks rise, they are likely to fall. Long-term: The larger the AI capex→ the sooner commercialization falls short of expectations someday → Credit bubble bursts → Fed forced to print money to rescue → Bitcoin completes the closed loop Arthur Hayes called "AI credit bubble →monetized rescue," which actually fuels the million-dollar narrative.
• Don't speculate on BTC as an AI concept stock now. Right now, it's a "high-beta risk asset," not an "AI beneficiary coin"; Only when the bubble bursts and liquidity is repriced will BTC's scarcity be revalued. ETH is stuck in the middle in an awkward position—following tech risk appetite while carrying its own expansion burden.
Google's debt = AI bubble is still inflating and not yet bursting; The crypto market should first withstand interest rate suppression, don't gamble with full leverage to take off immediately, and wait for the "bubble bursts → liquidity release" phase to be the real gain.#存储股财报后下挫，AI内存牛市还稳吗？
西部数据$WDC 、闪迪$SNDK 财报其实都不差，跌的是预期，所以不是业绩。市场之前把AI存储吹得太高，只要指引没有继续超预期，资金就会先跑。
英伟达$NVDA 甚至考虑降低部分HBM配置，这反而让我觉得需求是真的旺，不然不会因为缺货去调整方案。
我更倾向于，这不是行业出问题，而是市场开始挤泡沫。之前只要讲AI就涨，现在开始看谁真正能把订单、利润兑现出来。
所以我不会因为一时大跌就看空AI存储。决定行情的，还是未来几个季度HBM供给能不能跟上、AI服务器出货能不能继续增长。
总之炒故事的阶段快结束了，拼业绩的阶段才刚开始。
以上仅个人观点，不构成任何投资建议！Trading volume was the market's magic mirror last time—no matter how much the breadth flipped, a volume of -96.9% was a paper tiger. Today, the magic mirror flipped: total market trading volume jumped from -67.8% to -42.6% in one go, marking the first proper "recovery" in a week. The ice is melting; this is a real signal, not an illusion.
Macro tone: BTC is still squatting at $64,428, down 0.62% in 24 hours, neither alive nor dead. But the funding rate quietly jumped from +0.0025% to +0.0040%, with OI steady at 105,500 BTC—bulls are starting to pay dividends, though just a little, and the tone is different from last week's "short squeeze grouping."
The contradiction in capital flows is wide: OKX rose 7 times and fell 8 times this hour, slightly bearish. Volume has returned, but the daring buyers haven't come back yet.
The battle between volume and breadth is the most typical divergence pattern at the bottom—only when no one agrees is it a bottom.
Counterfeit Divide: OKX 24h Leader $BICO +41.82%, $AEON Falls Down -2.78% (Last week's 19-hour zombie pump finally died out).
The strong stay strong, the weak compensate for the decline; money is drawn to coins with narratives, not a broad rise.
Real review: My own $BICO long position is now +7.97%, the only live trading still in the red this round.
My framework is just one thing: volume recovery + funding turning is a sign of "no fall"; "To rise" requires a broad red-light (9 gains, 6 losses or more) to confirm.
Volume moves first, breadth moves later; if the order is wrong, it induces bullishness.
Don't let the -42.6% slump cloud your judgment. Fear is still stuck at 29, Wintermute is holding a US brokerage license, MARA is dragged down by losses from BTC crash—the regular players are quietly laying the groundwork.
Guys, are you following this wave? A: Buy the bottom with volume B, wait until the breadth hasn't rebounded, C: Go short, type the letter in the comments, use you as a reverse indicator (manual doghead).
Crypto assets carry high risk. This article does not constitute investment advice and reflects purely personal opinions.
$BTC $BICO $AEON #OKX星球 #市场分析 #行情速递 #BTC行情 #资金流向$ETH 都在等非农呢，聊聊我的看法！
1900这个关口有多硬挺相信大家都看得到！想做波段那就空，但在晚间8.30前必须出局。
做空的理由很简单，都在等晚间非农数据公布后再选择进场，买盘量必然会减少！且目前预期就是超过前值。
甚至会出现这种可能，买盘减少造成场内恐慌，带动空单情绪来波回调！按捺不住的清仓空！先看到1890上方一点！寻求稳健得等数据公布#财报观察员：解禁后反涨，SpaceX后续怎么看？ $RE Not an investment, but a voting right certificate for the project team.
No matter how powerful the protocol is, it has nothing to do with $RE holders. Truly smart money buys reUSD/reUSDe for real returns, leaving $RE for those who still believe "governance = value."
$RE is the most typical **'governance coin scam template' for 2026—the project's reinsurance business may still be reliable, but the $RE token is almost pure air**, with holders having nothing but voting rights and bearing huge unlocking pressure.
The official statement clearly states: $RE has no rights over protocol income, premiums, reserves, collateral, or profits. reUSD and reUSDe receive real returns, $RE holders can only "vote." This is not governance; it is openly and legally allowing retail investors to support projects while receiving no money themselves.
The total supply is 1 billion, with only about 159.6 million (16%) in circulation during TGE, and the remaining 84% will be unlocked in many years. The massive unlock from teams, investors, and ecosystem funds is yet to come. The current price has already been halved again and again from its peak. When the next unlock comes, are the buyers ready?
Projects hype up reinsurance, RWA, and real returns, but the real profits are stablecoin deposit products, which have little to do with $RE. Buying $RE is like supporting someone else's business, while you yourself don't get dividends. The classic "good project, trash token."
Reinsurance itself carries catastrophe risks, underwriting model risks, counterparty default risks, and regulatory risks. Packaging these as "on-chain" and adding a valueless governance token essentially packages high-risk traditional financial products as crypto narratives to harvest.
After launch, it surged quickly and then dropped sharply, with liquidity maintained by exchange incentives and sentiment. Once incentives end and unlocking begins, the rest will be a long period of market decline. Fed Cook's hawkish stance: If inflation stalls, rate hikes may be supported
Federal Reserve Governor Lisa Cook stated that if the pace of inflation slows down, she is prepared to support further rate hikes. The market view is bearish for crypto assets, with the core impact being that expectations for US dollar interest rates are tightening again, putting liquidity discount pressure on BTC, ETH, and high-beta altcoins. This is not news from a single token but rather a resurgence of macro risks: if CPI and PCE continue to be strong, funds will be more cautious about chasing risk assets. In the short term, the focus is on whether US Treasury yields and the US dollar index continue to rise; if both strengthen simultaneously, the crypto market rebound may be easily suppressed.
Source: Cointelegraph
#BTC #ETH #Crypto100W$SNDK 交出营收同比增长372%、毛利率84.6%的成绩单，盘后却一度跌近14%，收盘仍跌6.81%。赚得越多，卖得越狠。
西部数据跌超13%，SK海力士跌近5%，整个存储产业链在同一个交易日里集体回调。板块联动的幅度说明这不是单一公司的问题，而是一类定价逻辑正在被重新校准。
触发点在于闪迪下一季度的营收指引未能达到市场最乐观的预测。与此同时，英伟达正在评估调整下一代Rubin Ultra平台的HBM配置，高端存储的供应紧张开始从利好变成限制下游出货节奏的变量。
两件事叠在一起，传导路径变得清晰：当利润率从50%一路涨到80%以上，市场要求的已经不是继续增长，而是增长斜率不能放缓。一旦指引暗示扩张速度接近天花板，资金会抢在产业周期拐点之前兑现。历史上成长股见顶往往不是利润下滑，而是利润率停止扩张，存储股正走到这个敏感位置。
如果今晚非农数据大幅弱于预期，降息交易升温可能给超跌的高弹性品种带来技术性反弹窗口，空头仓位拥挤的标的面临短期逼仓压力。
反过来，如果就业数据强劲，美债收益率继续上行，高估值成长板块的流动性环境会进一步收紧。存储股已经在业绩最好的时候下跌，一旦利率预期转鹰，跌幅扩大的空间比多数人预想的要大。
让当前判断失效的信号只有一个：闪迪或美光在后续沟通中明确上调全年利润率指引，并且给出HBM产能瓶颈缓解的时间表。在此之前，每一次反弹都更像是趋势中的修复。
今晚非农是存储板块短期方向的分水岭，这个数据点值得盯住。
#伊朗阿曼通航协议遇阻，油价风险再升温 #交易之声：你的经验值得被听到 #财报观察员：解禁后反涨，SpaceX后续怎么看？ These days, groups and posts have been flooding the post: Will the Fed definitely raise interest rates in September? I'll be blunt—it's not a guaranteed increase, but if you keep following last year's 'immediate rate cuts and massive liquidity injections' approach, you're just heading straight for trouble. Look at the market first, don't judge by sentiment. Currently, the federal funds rate is still at 3.5%–3.75%. The July meeting remained unchanged, but some insiders wanted to add on the spot. The market pricing for the September 16 meeting is roughly in the range of just over 50% plus 25 basis points, or 40-50% unchanged. The market prediction is even more ruthless, almost like coins. Translation into plain language: No one can guarantee you will definitely add it, but no one dares to promise you to stay steady either. Interest rate cuts? He basically didn't enter the discussion board. Why are expectations twisted like this? Three lines: 1. Oil prices and geopolitical factors have pushed inflation back through the back door. When the Middle East stirs up, energy will push upward. The Fed hates "temporary shocks" most turning into "secondary transmission." The new chairman, Walsh, is taking the 2% target seriously, and oil prices are essentially helping him write a hawkish script. 2. The Fed is not united internally, and the dot plot has shifted toward "possibly adding one basis point within the year." Previously, the market was still debating "can it drop a bit more this year?" but now the mainstream narrative becomes: don't expect to relax, at most increase the price or delay a bit more. 3. Risk assets fear most not a rate hike, but when expectations shift from loose to tight. This process is often more painful than the day of the resolution. So how will crypto withstand the pressure? My own framework is rough but useful: BTC is just high B in the short term一枚沉睡了十五年的比特币刚一挪窝，市场先问的却不是“谁在卖”，而是“它准备从哪条路出去”。$BICO $BTC 近日，一个自 2011 年起长期未动的比特币钱包转移了约 320 万美元资产，去向指向一个与 FalconX 存在关联标记的地址。远古持币者苏醒，通常足够让交易员盯紧盘口：老币一动，抛压会不会随后砸来？ 这次先别急着给K线找理由。 目前能够确认的，只有这批资金离开了沉睡钱包，并进入一条与 FalconX 有关联线索的地址路径。它没有证明币已经卖出，更谈不上做空或任何明确的方向性押注。可市场也不该把它当成一次无关紧要的钱包迁移：当长期自托管的资产开始接近机构服务网络，先被改变的往往不是价格，而是这笔钱的交易环境、可识别程度和流动性安排。 链上“动了”，与资产“准备交易”，中间隔着很长一段路。 一笔转账，先让历史库存变成活跃变量 长期沉睡的钱包，意味着资产多年没有进入交易、抵押、借贷或跨平台结算。它像一块埋在供给曲线之外的库存：持有人是否还掌握私钥、是否愿意动用、何时重返流通，外界都无从判断。 现在，这个钱包转出了约 320 万美元的比特币，且资金朝 FalconX 关联地址移#存储股财报后下挫, is the AI memory bull market still stable?
It's ridiculous to say: Western Digital posted Q4 revenue of $3.747 billion in fiscal year 2026, up 44% year-on-year, with net profit doubling 12 times. Next quarter's revenue guidance also beat market expectations, but after hours, it plunged 11% and closed down 13.03% today. SanDisk is even worse, pulling out a $14 billion buyback move and still closing down 6.81%. So now, storage stocks are falling whether earnings are good or bad, with retail investors taking the blame, right?
Many people are now panicking, asking everywhere if the AI storage bull market is over, and the comment sections are flooded with people shouting "the cycle has peaked" and are ready to clear their positions and run away. To be honest, this drop is not fundamentals collapsing; it's simply because the previous rally was too wild, expectations were too high, and no matter how good the performance was, it couldn't cover the overdrawn valuation.
If you do the math, Western Digital has risen more than 200% this year, and in the past year, it has doubled sixfold. Every positive AI storage boost you can think of has already been priced into the stock price. Right now, the whole market is crammed into this track, with positions piled up like crazy. At the slightest sign of trouble, everyone jumps in and the price drops hard when they stamp on it. This isn't even the first pullback in this wave; previous pullbacks always started at just over ten points, so it's really not a case of the sky falling.
Now, let's talk about whether the core logic has changed. I've reviewed the original earnings reports from several major companies over the past few days to break through some solid data. Don't listen to those blind talkers about a crash to stir up trouble.
First, demand is real and unmistakable, not just empty talk. Samsung's just-released Q2 financial report showed operating profit doubling 18 times year-on-year. Management explicitly stated in a conference call that HBM4 sales in Q3 will increase more than threefold quarter-on-quarter, and HBM4 will account for over 60% of total HBM revenue in the second half of the year. Leading AI companies are now frantically competing for capacity, proactively signing five-year long-term contracts. Samsung has allocated 60%-70% of its storage capacity to long-term contract customers, and even predicts that the storage supply shortage will continue until 2028.
Don't just focus on HBM—with the explosion of AI inference and the rollout of agents, the increase in memory for ordinary servers is significant. The memory capacity of an AI server is more than ten times that of traditional servers—this structural change can't be achieved in just a quarter or two.
On the supply side, it's even more obvious—memory chip expansion cycles are set in two to three years, so it's not something you can just add by increasing capacity. Micron's latest data shows that DRAM inventory days are now less than 120 days, an extremely low in history; SK Hynix is even more outrageous, with inventory down to just 4 weeks, basically shipped out as soon as production is produced, leaving no room for inventory backlog. Moreover, OEMs are now shifting capacity toward high-margin AI storage, while standard model capacity is shrinking, and overall supply and demand remain tightly balanced. Micron itself has stated that the tight supply-demand situation will only last until after 2027, with some possibility of easing in 2028.
The real market disagreement now isn't about "whether there's demand for AI memory," but whether "the period when prices rose the most and valuations surged fastest has passed."
I agree with that. Previously, it was a phase of speculative expectations, with chickens and dogs rising to the top, and anyone with a bit of storage concept could fly; Next, it will definitely enter the stage of earnings realization. Companies without technology, no production capacity, and just chasing hot topics will sooner or later be reverted to their original state, and only the truly leading companies can slowly digest valuations through their earnings.
Let me share my own plan: in the short term, I won't blindly increase positions. I'll wait and see if it stabilizes, and for the long term, I'll just hold onto my position without moving it.
The essence of this wave in storage is a structural market driven by AI, completely different from the previous cycle logic of following consumer electronics. It's not easy to end it. There's no need to shout about being bullish every time it drops, nor to think it can soar just because it rises. Just focus on the two core indicators of supply, demand, and production capacity, and don't let intraday price fluctuations disrupt the rhythm.
$SNDK $ETH 现在最有意思的地方，不是它涨不涨，而是“有人已经开始偷偷接了，但价格还没给答案”。
现在$ETH 大约 1900美元，而8月6日美国现货ETH ETF又录得约 9215万美元净流入，已经连续第三天净流入。更有意思的是，ETH最近并没有跟着资金流入直接起飞，反而一直在1800多到1900附近磨。
所以我现在对$ETH 的判断其实很简单：1900美元不是终点，是分水岭。
短线先看 1890—1900美元能不能真正站稳，站稳之后，下一步看 1920—1960美元；如果连1900都反复站不住，那就别急着喊反转，下面 1828美元附近是第一道比较关键的支撑，再往下就是1800美元整数关口。近期ETH本身就在1828—1890附近压缩震荡，市场正在等方向选择。
但我真正比较在意的，是ETF资金开始持续回流，而不是单日突然冲进来一笔钱。7月ETH现货ETF整体也出现了资金净增加，机构对ETH的配置逻辑正在慢慢发生变化。与此同时，ETH的质押比例已经超过34%，这意味着市场上真正可以随时拿出来卖的筹码，并没有想象中那么多。
所以如果让我现在给ETH下一个判断：
💎 1800附近守住，结构还在；
⚔️ 1900站稳，开始有意思；
🚀 1960突破，才算真正把短线趋势拧回来；
🔥 2000重新站稳，市场情绪才可能明显改变。
我反而不太担心ETH现在慢。
真正值得怕的，是价格涨得飞快，ETF却没人买。
现在恰恰相反——钱已经开始回来，价格还在装死。
这才是ETH接下来最值得盯的地方。😂 Gold just had its biggest rally in months... because people stopped panicking.
Imagine you own a jewelry store.
One morning, your neighbor tells you: "The war may be calming down."
At the same time, another neighbor whispers: "The economy is slowing."
Suddenly, everyone starts buying gold.
Wait... isn't gold supposed to rise only when people panic?
Welcome to macroeconomics. 😅
📊 What happened?
• Gold surged 4% — its biggest rally since February.
• ADP jobs came in at 44K versus 70K expected.
• The probability of a Fed rate hike in September dropped from 60% to 55%.
• Oil fell to a three-week low as hopes grew for a shipping agreement around the Strait of Hormuz.
• Even so, gold is still more than 20% below its record high from January.
But here's what many people miss... 👀
Most people think gold only loves fear.
This rally wasn't driven by panic.
It was driven by lower interest rate expectations.
Weak employment data eased pressure on the Federal Reserve.
Lower oil prices reduced inflation concerns.
Two completely different stories pointed to the same conclusion:
👉 The Fed may not need to keep its policy as restrictive.
That's why buyers rushed in.
🧠 Key Insight
Markets don't move because a single headline sounds positive.
They move when several narratives suddenly align.
Friday's NFP report could confirm this breakout—or erase it just as quickly.
If Friday's NFP data comes in stronger than expected... which drops first: Gold or Bitcoin? 我是刺哥，谷歌也发债了，250亿美元，分了10档，期限从2年到40年，认购需求高达1150亿美元，翻了4.6倍。
这不是谷歌第一次发债，但这笔债的时机和体量值得琢磨。2026年资本开支预期已经上调至2050亿美元，现在又加250亿。钱拿去干什么，文件里写的是AI基础设施投入。DeepMind负责人哈萨比斯交出日常运营职责，转任DeepMind主席及谷歌母公司首席科学家，谷歌AI元老杰夫迪恩与多位老同事创办新公司DiscoveryLoop。人事调整和发债放在同一天发生，说明AI竞赛的节奏在变化。
市场分歧在于，巨额举债和组织重组是在抢占AI基础设施窗口，还是AI竞赛正在从技术竞争进入资本消耗和人才争夺并行的新阶段。谷歌在资本市场的信用毋庸置疑，1150亿美元的认购需求说明债市对AI的长期叙事仍然买单。但Alphabet此前面临AI开支与云业务增速匹配的压力，市场对其巨额AI投入的回报周期始终抱有警惕。穆迪此前已将Alphabet列入评级下调观察名单。
当一家公司同时在做三件事，大幅上调资本开支，发行大额债券融资，调整核心管理层，说明这不是常规操作，是在重新排布战略重心。发债和人事调整说明资本投入和组织架构都在同步调整，AI的竞争已经从技术路线之争进入资源消耗战阶段。谁能在算力基建上持续烧钱，谁能在人才争夺上占据优势，谁就能在下一阶段保持领先。
这对BTC的影响有限，但强化了一条长期叙事，AI基建的资本开支还在加速，烧的是法币信用，消耗的是美元购买力。谷歌发债250亿美元只是开始，微软、Meta、亚马逊后续还有更多发债计划。每一次这种规模的融资落地，都在提醒市场，美元信用的边界正在被持续拉伸。
对存储板块的传导同样清晰。谷歌上调资本开支到2050亿，意味着数据中心扩建不会停，企业级SSD和HBM的需求不会因为闪迪的指引不及预期就消失。存储板块的短期波动是预期差修正，不是基本面崩塌。存储的长期需求刚性被谷歌的250亿发债又一次验证了。
刺哥说完了。你细品。#谷歌母公司发债250亿美元，AI投入压力升温 $BTC $ETH $SNDK 😂 Gold just had its biggest rally in months... because people stopped panicking.
Imagine you own a jewelry store.
One morning, your neighbor tells you: "The war may be calming down."
At the same time, another neighbor whispers: "The economy is slowing."
Suddenly, everyone starts buying gold.
Wait... isn't gold supposed to rise only when people panic?
Welcome to macroeconomics. 😅
📊 What happened?
• Gold surged 4% — its biggest rally since February.
• ADP jobs came in at 44K versus 70K expected.
• The probability of a Fed rate hike in September dropped from 60% to 55%.
• Oil fell to a three-week low as hopes grew for a shipping agreement around the Strait of Hormuz.
• Even so, gold is still more than 20% below its record high from January.
But here's what many people miss... 👀
Most people think gold only loves fear.
This rally wasn't driven by panic.
It was driven by lower interest rate expectations.
Weak employment data eased pressure on the Federal Reserve.
Lower oil prices reduced inflation concerns.
Two completely different stories pointed to the same conclusion:
👉 The Fed may not need to keep its policy as restrictive.
That's why buyers rushed in.
🧠 Key Insight
Markets don't move because a single headline sounds positive.
They move when several narratives suddenly align.
Friday's NFP report could confirm this breakout—or erase it just as quickly.
If Friday's NFP data comes in stronger than expected... which drops first: Gold or Bitcoin? #存储股财报后下挫, is the AI memory bull market still stable?
Damn! This amazing AI memory story is already starting to leak!
No matter how explosive the financial reports are, it's useless. Western Digital and SanDisk have thrown revenue and profit to the skies, with gross margins ridiculously high, only to be crushed after hours. Asia is even worse: KOSPI was dragged down by semiconductors, SK Hynix crashed, and Samsung followed suit.
The market isn't about how much you've earned, but whether you can keep bragging. If you can't keep bragging, just smash it.
These people previously hyped the HBM shortage as a universal truth, causing the stock price to climb out of the ditch and multiply several times. Now the numbers are still rising, but their appetite has been fed up.
How many more quarters can these good times last? Is the shortage just the money printing machines of storage manufacturers, or the knives that are blocking downstream AI chip makers? NVIDIA is already considering cutting high-end memory configurations; if inventory is insufficient, shipments will have to be reduced. Upstream calls for full production, downstream redesigns—the double-edged sword of supply and demand is finally starting to strike both sides.
A KOL on X also said: If the guidance isn't strong enough, it's smashed; expectations are too high, valuations are just giving back, but underlying AI demand hasn't died yet. Others think: the blind-eyed, broad-surge phase is over; now it's just stock funds pecking at each other, leveraged products trampling, and underlying stocks spiral downward.
It's even more obvious in Korea: buying US stocks at night and selling Korean stocks in the morning, investors have already suffered psychological trauma from this memory crash. Some people break it down even further: SanDisk is relying on NAND and SSD, not the true HBM core; HBM is the real hot commodity, while pure DRAM and consumer-grade flash are showing signs of elasticity. Consumer SSD prices have doubled, and ordinary people are now saying they can't afford them. No matter how strong data centers are, they can't fill this gap.
Where's the money? US stocks have long been a stock market. Giants are shrinking their buybacks while issuing bonds for AI, while companies like SK Hynix and SpaceX are about to go public and draw blood, with bigger ones waiting ahead. Without new money to take over, trapped positions at high levels are extremely heavy. Want to hit new highs? When the signal of profit margins peaking, valuations are immediately compressed. Growth stocks never peak when profit margins turn point; they run away when profit margins start turning.
So now, stop staring at those few financial reports and getting carried away. The speed of HBM capacity expansion, cloud factory capital expenditure trends, and NVIDIA's actual shipments are the real indicators.
The amount of goods downstream produces determines how much upstream can profit. Pricing power is not in memory manufacturers' hands, but with AI chip manufacturers.BNY is about to engage in crypto staking, choosing Galaxy for infrastructure. The fact that traditional financial giants are rushing into custody + staking shows that institutions are increasingly recognizing on-chain yields. Once the door to compliance opens, stablecoins and mainstream assets benefit first. Note, this is staking on the custody layer, not your own private key for DeFi, so your risk preferences are completely different. $ETH熊市周期走到现在，老筹码反而安静了
VDD Multiple看的不是普通成交量，而是发生链上移动的$BTC 之前沉睡了多久。
同样是1枚BTC，持有5天后卖出，和放了5年后重新转手，意义完全不同，持有时间越长，被销毁的币龄越高，对市场的参考价值也越大。
回看2013至2014年、2017年、2021年和2024年附近，VDD都曾升到2.9以上。
这些高点不一定对应BTC的最高价，但背后的动作很相似：长期持有者开始集中转移筹码，借着市场流动性兑现利润。
所以，高VDD更适合用来观察周期派发，不能拿它机械逃顶。
现在的情况正好相反。
VDD已经回落到0.75附近，重新接近低值区，BTC经历大幅调整后，长期筹码并没有持续、集中地转移。
而且BTC此前创出更高价格时，VDD也没有出现2017年和2021年那种极端峰值，价格涨得更高，老筹码的卖出强度却没有同步放大。
现在更像高成本筹码出清后，长期持有者重新选择观望，而不是周期顶部常见的集中派发。
不过，低VDD不能证明底部已经出现。
它只能说明老筹码不愿意卖，不能说明新增买盘已经回来，市场如果缺少流动性，价格照样可能继续下探。
接下来我会观察两种变化：
BTC不再创新低，VDD继续维持在0.75以下。说明卖压正在收缩，老筹码仍然锁定，底部结构会更扎实。
BTC出现反弹，VDD却快速升破1.5，甚至重新进入2.9以上。说明沉睡筹码开始借反弹兑现，上方抛压可能再次增加。
所以我现在更关心的，不是老筹码有没有卖完。
而是当这批筹码已经不愿意卖时，市场还要调整多久，新增买盘才会回来。你会在老筹码沉默时提前布局，还是等价格确认反转以后再进场？#存储股财报后下挫, is the AI memory bull market still stable?
To start with the conclusion: this wave of storage is most likely nearing its end.
SanDisk and Western Digital both exceeded market expectations in earnings, but their stock prices collectively fell after the close hours. This sent a very clear signal: the market is no longer trading in performance, but on the future.
But it's important to note that ending doesn't mean an immediate crash. Institutional selling never goes all the way down with a single bearish candle; instead, it fluctuates downward, selling while pulling up. Each rebound is more like an opportunity for funds to realize profits, rather than a new starting point.
The core is simple: look at fundamentals at low points, look at capital at high levels.
Take Micron as an example: the cumulative trapped assets above correspond to floating losses exceeding $100 billion. To break historical highs, performance growth alone is far from enough; a continuous influx of new funds is needed. Without incremental capital, even the best fundamentals will struggle to drive valuation expansion.
And now, the biggest reality in US stocks is that liquidity is starting to tighten.
In recent years, tech giants have driven up stock prices through large-scale stock buybacks, but now the situation is changing. On one hand, buyback efforts have declined; On the other hand, to continue investing in AI infrastructure, more and more tech companies have begun issuing bonds to raise funds. Meanwhile, a batch of large IPOs are lining up to go public, continuously drawing market capital.
Funds do not increase out of thin air; they are only continuously reallocated.
Today it flows to AI, tomorrow it may go to IPOs, and the day after it could flow to other popular sectors. For the storage sector, which has already seen huge gains, the difficulty of continuing to attract incremental funds is clearly increasing.
It's not just Micron; Samsung and SK Hynix are facing similar problems. After two years of sharp gains, market holdings have become extremely crowded, institutions are profiting heavily, and further upward momentum increasingly depends on new capital rather than earnings itself.
More importantly, industry cycles are changing.
Storage companies' revenue and profits may continue to grow in the coming quarters, but what capital markets truly care about is whether profit margins can keep improving.
Historically, growth stocks have peaked not because profits have started to decline, but because profit margins have stopped expanding. Once the market believes profitability is close to its peak, even if earnings continue to hit new highs, valuations will be the first to enter a compression phase, and stock prices usually react several quarters ahead of the industry cycle.
This is also why, after SanDisk and Western Digital delivered earnings that exceeded expectations, the market still chose to sell. Not because the company was bad, but because it was already difficult to continue exceeding market expectations in the future.
Therefore, for the storage sector, there will still be a rebound in the future, but it should be understood more as a correction within the trend rather than a new main rally.
So, where will the funds go next?
My judgment is that the crypto market deserves special attention.
As high-prosperity sectors such as storage and AI hardware gradually enter the realization phase, market funds are likely to start seeking new highly elastic assets. If global liquidity marginally improves and expectations for Fed rate cuts heat up, BTC and ETH are likely to become key directions for the next phase of capital reallocation.
The market never lacks hotspots; it only keeps turning.
This year is AI and storage; the next phase may be BTC and ETH.
After all, the capital market has always been ruled by one saying: fortunes turn, and wherever capital flows, there are opportunities $BTC $ETH SPCX rebounded after unlocking. Why did the massive volume lift rise instead? 1. Negative news was realized early, with a sharp drop occurring the day before the lock-up. The real panic selling after the unlock-up was released a day earlier. On Wednesday, the single-day plunge was nearly -14%, with trading volume amplified and a large amount of panic and safe-haven funds fleeing early. By Thursday's official lifting of the ban, the market had already priced in "hundreds of billions in selling pressure," turning into selling expectations and buying facts. Negative news materializes, some short positions are being uncovered, forming a foundation for a rebound. 2. Not all 911 million shares were dumped on the market on the same day. A tiered unlocking rule is adopted, so you can't sell all at once: • Musk's 42% majority stake is locked up until 2027, with no participation in this unlock; • A large number of early-stage institutions and executives are constrained by the 10B5-1 trading plan and cannot be sold in a concentrated sale on the same day; • Many early investors unlocked their shares, but the stock price was already below the IPO price of $135. Some institutions chose to hold and wait, not rushing to cash out and exit. Unban = can be sold ≠ will definitely sell. 3. Forced buying by passive funds in the index (very crucial) After the lock-up was lifted, the circulating market expanded significantly, and the SPCX's weight in the Nasdaq 100 rose significantly. Index ETFs and passive funds had to passively add positions according to their weights to buy chips, providing strong buying pressure and offsetting some potential selling pressure. 4. Short positions are very high, indicating short squeeze force. Before the lock-up, short positions account for a high proportion of circulating shares, and the market unanimously plays on the risk of a crash after the lock-up. When there is no stampede and sharp drop, a large number of short sellers cover their losses, further driving the price reboundThe core logic of this news is: U.S. regulatory rules are being "forced to change" by market demand, and there are several main reasons behind this:
1. The crypto market has entered the era of 24-hour trading
In the past, the U.S. securities market had fixed trading hours, but the crypto market operated around the clock.
Traditional financial investors are increasingly doing so by:
BTC ETF
ETH ETF
Crypto funds
Trading platform
Participate in the digital asset market.
If the securities market continues to maintain fixed daily sessions, the following will occur:
Major news at night cannot be traded in time
Large price gaps occurred at the opening of European and American markets
Investor risk management is challenging
Therefore, extending trading hours is to adapt to market changes.
2. U.S. exchanges face competitive pressure from crypto trading platforms
Like:
Coinbase
Binance
OKX
These platforms offer 24-hour trading.
If traditional exchanges continue to restrict trading hours, it will:
Capital flows to round-the-clock trading platforms→ trading volume declines→ market influence diminishes.
Therefore, the U.S. securities market began to move toward an "all-weather financial market."
3. Institutional capital inflows drive rule changes
In the past, the crypto market was dominated by retail investors, but now a large number of institutions have entered the market:
ETF funds
Hedge funds
Asset management companies
Institutions require:
Higher liquidity
More continuous price discovery
More convenient risk hedging
Extending trading hours essentially provides institutional funds with a better trading environment.
4. What impact does it have on the crypto world?
Short-term:
Traditional funds have increased their participation time
Mainstream assets like BTC and ETH may strengthen their correlation with US stocks
Market volatility may be more continuous and it is less likely for large gaps to occur
Long-term:
Positive for the entire crypto industry:
Traditional financial systems are gradually embracing how the crypto market operates.
Possible future developments:
The stock market is increasingly resembling the crypto market (trading all day).
The crypto market is increasingly resembling traditional finance (with well-regulated regulations).
However, one thing to note:
This does not mean the U.S. is fully embracing cryptocurrency, but rather institutional adjustments made by capital markets for competition and efficiency.
For BTC and ETH, this is positive news, with limited impact on altcoins; the real beneficiaries are assets with strong liquidity and high institutional participation.今晚 20:30将公布美国 7 月非农就业数据（NFP）和失业率
市场预期：
- 非农就业人数（NFP）：预期增加 约 80k–100k
前值（6 月）：+57k（明显弱于预期，且有下修）
- 失业率：预期维持 4.2%（持平前值）
- 平均时薪：预计环比 +0.3% 左右，同比约 +3.5%。
当前劳动力市场处于“慢招慢裁”状态，整体仍有韧性，但增长已明显放缓。美联储更关注通胀粘性，而非单纯就业强弱。
三种可能：
✅ 符合预期 → 震荡消化
🚀 大幅超预期（>130k）→ 美元强、收益率升，BTC短线承压
📉 明显不及预期（<60k）→ 降息预期升温，风险偏好回升，BTC有反弹空间
波动必大，建议轻仓观望，重点看实际数值+失业率+薪资+修订。
数据一出市场立刻定价，稳住别追！🙂The "same class, different fate" of the top three storage giants: Micron is the top performer, SK Hynix at the bottom
According to monitoring by @HyperInsight_ZH (formerly Hyperinsight), in the past 30 days, all three top storage giants on Hyperliquid have declined, but the gap between strong and weak continues to widen: Micron (MU) fell 5.7% cumulatively, SanDisk (SNDK) fell 23.8%, and SK Hynix (SKHX) fell 31.8%.
Based on holdings data from some on-chain addresses, a relatively effective trading strategy this month may be the strength differential. Although MU also declined, it outperformed SNDK by about 18.1 percentage points and outperformed SKHX by about 26.1 percentage points.#AIMemoryBullTest #FedHawksVsWeakJobs #SpaceXUnlockRebound At 20:30 Beijing time tomorrow night, the non-farm payroll will be implemented, and US stocks are set to face a key decision
At 20:30 this Friday evening, the July nonfarm payroll report will be released. This is the most important employment data since the Federal Reserve's July meeting, and it will directly rewrite September rate expectations, affecting all assets in US stocks, Treasuries, and cryptocurrencies.
Previously, ADP's small nonfarm payroll data was clearly below expectations, giving the market an early warning as employment gradually cooled.
The three data scenarios correspond to the U.S. stock market trends
Scenario 1: Nonfarm payrolls are significantly stronger than expected, and wages rise in tandem
Strong employment will delay rate cut expectations, pushing US Treasury yields higher. High-valuation AI technology and storage sectors are under the heaviest pressure, while growth stocks like MU and SNDK are prone to selling pressure; Dow blue chips are relatively resilient to declines, and the overall index will show divergent trends.
Scenario 2: Nonfarm payrolls weaken significantly, unemployment rises
The market will strengthen expectations for rate cuts, and falling US Treasury yields will benefit tech growth stocks. Storage and AI hardware may see a recovery and rebound. But caution is also needed: poor data could trigger recession fears and cause short-term broad declines.
Scenario 3: Data and expectations basically match
Employment cooled mildly, neither hot nor lukewarm. U.S. stocks continued the current split pattern, with the Dow slightly stronger, the Nasdaq fluctuating at high levels, the market returning to earnings logic, and sector rotation continued.
Putting aside nonfarm payrolls, the U.S. stock market will be the next outlook
1. The storage sector is currently in a phase of intense volatility following the disappearance of the financial report. SNDK has made a deep V-level reversal, but the issue of lowered expectations from the earnings report has not completely disappeared. Looking ahead, focus on whether the MU key support can be held; holding it will mean sector differentiation and recovery; Once it effectively breaks down, the storage rally will enter a mid-term valuation digest phase. Do not treat the oversold rebound as a new main rally.
2. Structural market differentiation will continue to play out. Stocks with earnings guidance exceeding expectations will continue to enjoy premiums; Even if profits are high, companies with conservative shareholder returns and future guidance will continue to be abandoned by capital. The broad rally has ended, and stock selection has become more difficult.
3. Risk points cannot be ignored. $SPCX massive unlocking pressure remains, which will occasionally disturb the market and amplify the spike volatility.
Key Targets to Watch:
$MU • $SPCX • $SNDK • $SKHY • $CL • $XAU • $NITC • $AMD
Stocks with Weakening Momentum and Capital Exits:
$BEAT • $EDGE • $COAI • $TRUMP • $RAVE • $SPACE • $SOPH • $IP • $AVNT • $ZAMA • $OFC • $PIEVERSE • $VIRTUAL • $ACU • $H • $MEGA
Waiting for signal confirmation in the observation pool:
$MEME • $EDEN • $HUMA • $ZKP • $METIS
Strong stocks favored by capital:
$JTO • $JELLY • $BTC • $OPG • $BTCSLX • $LAB • $BSB • $ALLO • $CHIP
Current market logic summary:
$BTC — The liquidity center in the crypto market, which determines the overall temperature of the market
$ETH — Institutional funds continue to build positions, gradually accumulating shares through volatility
$SOL — The elastic role of the Layer 1 sector, with considerable upside potential at market launch
$TAO & $WLD — AI remains hot and repeatedly favored by capital
$HYPE — A market speculative sentiment gauge used to assess current risk appetite
$DOGE & $ZEC — Retail investor sentiment window, intuitively reflecting short-term speculative heatFor friends who want to increase their positions and bottom-fish storage stocks, you can learn from history by looking at the growth curve of AI giant Nvidia.
With the explosion of AI large models, a structural supply-demand imbalance emerged in GPU computing power, and Nvidia's stock price rose more than 10 times in just over a year.
During this process, its gross margin soared from 43% to 78% by April 2024, then peaked.
Since then, for a whole year, Nvidia's stock price has been consolidating sideways.
Although the gross margin later recovered, it did not break new highs and hovered around 75%. During this period, Nvidia's stock price growth slope was clearly less steep than before, slightly outperforming the broader market.
Storage stocks are currently facing a similar situation. Over the past year, their gross margins have risen from 50% to 80%. With fundamental improvements plus capital market speculation and multiple positive factors, their stock prices have increased by tens of times, but such gains are unlikely to continue in the future.
It should be noted that Nvidia's stock price can continue to break new highs not just because of GPUs.
It also has the CUDA software ecosystem, has upgraded into a full-stack AI factory, controls the AI data center BOM, expands upstream and downstream in the semiconductor industry, and is laying out next-generation physical AI—these are Nvidia's moats.
So at this time, when increasing positions and bottom-fishing storage stocks, one needs to consider what other moats exist besides the shortage logic.
For now, I don't see any, and I won't be buying storage stocks anymore. On-chain US stock tokenization presents a dual structure of flash exchange pricing and order book, with the core contradiction being the pricing distortion caused jointly by insufficient order book depth during market closure periods and cross-mode transfer friction.
During US stock trading hours, the flash exchange mechanism maintains a clearing price close to 1:1 with the original US stock market by connecting to external assets, with liquidity supported by market-making protocols. In the order book mode, token trading relies entirely on internal matched capital flow, and market supply-demand imbalances directly widen the bid-ask spread.
High volatility moments such as earnings releases trigger sharp spreads; for example, when the original US stock trades around 1240, the internal order book may push prices up to 1300, creating a short-term arbitrage window of 60U. This 60U spread not only reflects sentiment premium but also indicates a severe disconnect in the order book's sell-side depth.
Flash exchange assets are stored in the Web3 structure corresponding to the capital account and must be converted or transferred to the spot account before entering the order book for cash-out. This transfer and conversion chain prolongs arbitrage response time, causing the theoretical 1:1 peg to temporarily fail under liquidity shocks.
If the US stock market is open and cross-account transfers are smooth, high arbitrage efficiency will attract arbitrage capital. When funds quickly buy at the low-price flash exchange end and transfer to sell on the order book end, the 60U spread will narrow within the normal friction loss range in a short time.
If the US stock market is closed or market liquidity contracts sharply, the bid-ask spread on the order book side will further widen. Without real-time pricing constraints from the original market, weak internal order depth may cause one-sided selling pressure that flash exchange cannot absorb, exacerbating transfer friction and exit slippage for arbitrage funds.
When cross-mode exchange mechanisms delay or market makers suspend flash exchange support, the above logic fails. At this time, although assets retain dividend rights, short-term pricing power is entirely dominated by one-sided capital flow in the local order book.
In the next 7 days, focus should be on changes in order book depth at the US stock market's open-close transition points and the actual flow speed of funds during cross-account transfer and conversion.
#Uniswap进军发射台，UNI能否打开新叙事？ #CLARITY投票或延至9月，伦理分歧未解 #新手必看：这里有你需要的一切
一手 BTC 空单，一手 BICO 现货——我这套仓位不是在赌方向，是在做"对冲"
很多人看我的仓位会困惑：你既做空 BTC，又拿着 BICO 现货，到底看涨还是看跌？
我的答案：都不是。这是一组组合，核心是用 BTC 空单，去对冲 BICO 这种小市值山寨的"系统性风险"。
为什么这么搭？
BICO 是典型的小市值、高 beta（高波动联动，high beta）山寨。它价格和 BTC 高度相关，但弹性更大——BTC 跌 5%，BICO 往往跌 10% 甚至更多；BTC 涨，BICO 也涨得更凶。
我的逻辑：
- 我看好像 BICO 本身的题材和超跌反弹，拿现货（这轮浮盈已经不小，一度涨近 80%）；
- 但我怕 BTC 突然回调把整个山寨盘带崩，于是开 BTC 空单，给这部分系统性风险"买保险"。
效果：
BTC 跌 → BICO 现货亏，但空单赚，回血对冲；
BTC 涨 → 空单亏，但 BICO 现货赚更多，净敞口偏多但可控。
相当于把"判断 BICO 好不好"和"判断大盘方向"拆成了两件事。
实操提醒（踩过坑才懂）：
1. 对冲不是无风险，相关性会短暂失效；
2. 现货别死扛，分批止盈把利润和本金先挪出来；
3. 空单带止损，别把对冲单做成无底洞；
4. 仓位别满，对冲省的是方向焦虑，不省爆仓风险。
合约和现货不是非黑即白的对立。把"对某个币的看法"和"对大盘的看法"分开定价，才是这套仓位真正的价值。
#新手必看：这里有你需要的一切 @OKX成长学院 KITE suspended mainnet transfers after the attack
After detecting abnormal transfer activity, KITE Foundation suspended all KITE transfers and cross-chain bridge operations on the Ethereum mainnet, stating that related tokens have been frozen and no token losses have occurred so far. The market view is biased toward negative KITE. No actual losses indicate the team handled the situation quickly, but mainnet transfers and cross-chain bridge suspensions directly affect liquidity, arbitrage, and user confidence, so short-term funds usually avoid such security uncertainties first. Holders should focus on official reviews, recovery schedules, and whether exchanges have made deposit or withdrawal adjustments; Before resumption, it is not advisable to focus solely on price rebounds; trust restoration from security incidents often takes longer than technical recovery.
Source: Wu Shuo
#KITE #Crypto100WRecently, the storage sector has given all investors a harsh lesson
People used to say "performance determines stock price," but now it's clear that's not entirely true. For highly valued AI companies, what truly determines their rise or fall is whether they can continue to exceed expectations next.
SanDisk and Western Digital are the most typical examples.
The latest financial reports of both companies are almost flawless, with revenue, profit, and gross margin all exceeding market expectations. In the past, such achievements would have been enough to be celebrated at the daily limit.
But the market immediately turned hostile.
SanDisk fell about 7% after the session, Western Digital dropped over 10%, followed by SK Hynix, Samsung Electronics, Kioxia, and other companies across the entire memory industry chain collectively retreating, with South Korea's semiconductor sector also coming under significant pressure.
Why?
Because the market is no longer satisfied with "growth" but demands "sustained explosive growth."
SanDisk's revenue guidance for the next quarter fell short of the market's most optimistic forecast, prompting institutions to immediately lower target prices, and funds were cashing in profits.
Meanwhile, another piece of news further amplified market sentiment.
NVIDIA is evaluating adjustments to the HBM configuration for its next-generation Rubin Ultra platform, not because AI demand is weakening, but because high-end HBM supply remains tight, with pressures in capacity, validation, and yield.
This means a new risk is emerging.
In the past, people worried about lack of demand, but now they worry about supply not keeping up, which could actually affect the shipment pace of AI servers. Supply shortages aren't always positive; when shortages start to restrict downstream growth, the market will naturally reprice.
However, I think this is more like a valuation correction than an industry peak.
AI training demand has not cooled significantly, high-end DRAM and HBM remain in short supply, and many manufacturers have already locked in production capacity in advance. From a fundamental perspective, the industry logic has not fundamentally changed.
What truly changes is the market's standards.
In the past, earnings exceeded expectations and prices would rise; now, not only must they exceed expectations, but future expectations must also be continuously raised; otherwise, funds will still sell.
Therefore, in the short term, I remain cautious about the storage sector and won't rush to chase highs; But if this round of sentiment is more fully released and leading stocks' valuations return to reasonable ranges, I will instead focus on the next positioning opportunity.
This round of declines is about expectations, not AI. What really matters is not how much money was made yesterday, but whether the market can continue to meet high expectations in the future.
#存储股财报后下挫, is the AI memory bull market still stable? #谷歌母公司发债250亿美元, pressure to invest in AI is intensifying
Alphabet (Google's parent company) completed a massive bond issuance of $25 billion, with orders surging to $115 billion—more than four times oversubscribed, making it one of the largest bond issuances in the AI sector this year. This suggests booming bond market demand, but behind it lies a reflection of the AI arms race, where the pressure on giants to burn cash has entered a new phase.
Just two weeks ago, Alphabet raised its full-year capital expenditure guidance to a maximum of $205 billion, doubling compared to 2025. In the second quarter, it saw its first quarterly free cash flow turn negative since going public, and operating cash flow can no longer support the massive AI infrastructure expenses, so it can only fill the gaps in computing power through large-scale bond issuance and equity financing. This 25 billion yuan bond issuance is aimed at raising funds for data centers, servers, and large model R&D. The company also stated it will issue bonds twice a year in the future, normalizing borrowing to maintain its AI expansion pace.
Here is a set of contradictory market signals: on one hand, institutional funds are scrambling to buy Google's bonds, recognizing the credit backbone of leading tech giants; On the other hand, the market's underlying concerns have not been eliminated: massive funds pouring into AI infrastructure, and whether commercialization returns can outpace the continuously rising debt costs. If models like Gemini monetize below expectations, high debt will become a real burden, and the oversupply of tech bonds will indirectly push up long-term US Treasury yields and raise financing costs for the entire market.
Break down the two scenarios and explain them clearly to understand their implications for US stocks and Bitcoin.
Scenario 1: AI commercialization realized, bond issuance is a healthy expansion (baseline optimistic scenario)
Google Cloud and enterprise AI orders continue to grow, advertising business is empowered by AI, and revenue growth can cover capital expenditures and debt interest.
Result: The US AI sector continued to strengthen, with risk appetite rising; US Treasury yields remained high but no longer surged further, with risk assets gaining sentiment and Bitcoin following US high-beta assets in oscillating and recovering.
Scenario 2: Imbalance between input and output, and the pressure of AI-driven cash burning begins to backfire on the market
AI infrastructure continues to invest in infrastructure, but commercialization has fallen short of expectations, with overcapacity in computing power. Meanwhile, tech giants are issuing massive amounts of bonds, causing an oversupply and continuously pushing up long-term U.S. Treasury yields. Rising risk-free yields will squeeze the valuation space of all speculative assets.
Result: U.S. tech stock valuations were suppressed, growth sectors pulled back; Bitcoin, as a high-beta risk asset, saw rising opportunity costs and market pressure, making it difficult to achieve a major rally.
Many community members wonder: what does a tech company's bond issuance have to do with Bitcoin? Two layers of core transmission logic:
1. AI giants' aggressive borrowing to expand production will lead to massive corporate bond supply, competing with U.S. Treasuries for market capital, pushing up long-term U.S. Treasury yields. As long as yields remain high, Bitcoin will continue to be suppressed by valuations, which is a hard constraint at the macro level.
2. Hyperscalers like Alphabet, Microsoft, and Amazon are the emotional anchors of the global AI market. The capital expenditures and debt pressures of these giants directly define the prosperity of the US AI sector. With US AI collectively weakening, Bitcoin is unlikely to strengthen on its own.
Here are two practical reminders for fellow users:
(1) Don't interpret oversubscription as a comprehensive positive sign. Strong subscription indicates recognition of corporate credit, but investing in AI does not guarantee profits. Focus on tracking Google Cloud's revenue growth and free cash flow recovery;
(2) For the Bitcoin market, take long-term US Treasury yields as the core indicator. When tech giants continue to issue large-scale bonds and drive yields higher, it's important to proactively lower bullish expectations, strictly control positions during volatile markets, and avoid heavily betting on one-sided markets.Apple's $1 billion A20 Pro cannot be packaged at TSMC due to insufficient DRAM: a real positive for SK Hynix and Micron, with "increased volume and price + bargaining power." Breaking news: Russia has beaten the U.S. ahead 🇷🇺
Putin has officially signed Russia's first comprehensive cryptocurrency regulatory law.
Key points:
• Ordinary investors can purchase cryptocurrencies through licensed institutions (up to about $3,700 per year)
• Unlimited amount for qualified investors
• The transaction requires licensing, capital requirements, and regulatory compliance
• Cryptocurrency payments remain banned domestically in Russia, but are permitted for cross-border settlements
• The main provisions will take effect on September 1, 2026.
My view:
For the Big Bing and the Second Bing, this is only a long-term positive and has little short-term impact!!
The real highlight of this "front-running" is not how much buying is released, but how geopolitics accelerates BTC's "mainstream assetization." When diversification of cross-border settlement channels becomes a necessity for major powers, BTC's valuation logic will rarely revert to pure retail speculation.
#俄罗斯加密监管法9月生效, the boundaries between transactions and payments are clear
$BTC $ETH #财报观察员: After the lock-up lifts, prices rebounded—what do you think about SpaceX's future?
Let's put aside short-term noise first:
No lock-up unlock, mixed earnings, rising AI capital expenses...... These are all current emotional fluctuations.
On a longer timescale, what really matters is what it is betting on.
What SpaceX is doing essentially involves three things combined:
1. Lowering Launch Costs Recyclable rockets have significantly lowered the threshold for entering space. In the next 30 years, if costs continue to drop by an order of magnitude, space will no longer be a game for a few countries and giants, but will become infrastructure.
2. Starlink as a global communication layer is not simply "going to the internet," but a low-orbit communication network. In the long term, it may become a layer of digital infrastructure on the Earth's surface, covering oceans, polar regions, war, and disaster scenarios.
3. Bringing AI computing power to the sky The market is currently focused on power shortages, heat dissipation, and land shortages in terrestrial data centers. SpaceX is betting that some computing power will take to the skies in the future—more stable solar power, more direct heat dissipation, and stronger physical isolation. This is not a short-term story but an infrastructure restructuring spanning 10 to 30 years.
Looking at 30 years ago, SpaceX seems more like building a "highway to space."
Earth is the starting point, Mars is the next stop. #EarningsReportObserver: After the lifting of restrictions, prices rebounded. What is SpaceX's outlook on the future? Coinbase UK offers 24/5 US stock trading
Coinbase launched US stock trading in the UK, supporting 24/7 trading five days a week, and offering zero-commission and fractional share trading. The market view favored positive COIN, which also supported Coinbase's narrative of expanding crypto accounts into integrated investment gateways. This move would not directly drive BTC or ETH, but would enhance platform user stickiness and bring stocks, cash, and crypto assets into the same trading scenario. For traders, the focus should be on UK user adoption speed, USDC fund usage volume, and whether traditional asset trading continues to extend into tokenized stocks and on-chain collateral scenarios.
Source: BlockBeats
#COIN #USDC #Crypto100WPeople say unlocking 100 billion means selling stock, but $SPCX rose 6%.
On August 6, the first batch of 910 million shares was unlocked, doubling the tradable shares instantly—anyone would think it would crash. As a result, it closed up 6%, with a trading volume of 250 million shares, a one-and-a-half-month high.
What's going on? On Wednesday, it already fell first—AI spending was nearly 40% higher than expected, with the first 14% dropped. At that time, the short sellers had accumulated positions at 36% of the circulating share, with a paper profit of $9 billion, just waiting to close the net on the day the lock-up was lifted. But the selling didn't come, and the bears were forced to cover the price.
With JPMorgan Chase, Goldman Sachs, and Morgan Stanley all raising their target prices, retail investors netting $22.7 million during the crash. These forces combined to catch the 100 billion yuan unlock requirement.
But don't get too excited yet—this is just the first hurdle. On August 20, there were still 319 million shares, and about 700 million shares each in September and October. Musk's 6 billion shares won't be available until June 2027.
For $BTC: SpaceX has survived the first round of unlocking, and tech stock sentiment has stabilized, which is good news for the broader market. But there are still several rounds ahead. BTC can follow suit, but don't get carried away by this day's rebound.
#财报观察员: After the lock-up lifts, prices rebounded—what do you think about SpaceX's future? This time, I want to say that the long-term bull market foundation for AI storage has not collapsed. This decline is a valuation crash after expectations are fully inflated, not a peak of the industry cycle.
Everyone needs their own judgment. The most profitable financial report in history can't support the stock price being doubled prematurely, which is perfectly normal. Short-term sentiment release isn't over yet, so don't rush to catch the dip and catch the knife; But HBM's structural gap remains, the industry's profit bottom and growth logic haven't been broken, and once valuations are digested, the leaders will return to an upward channel.