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UKong🥷🪃
UKong🥷🪃
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美股这一夜📈 昨夜道指历史新高,纳指涨超2%,油价却砸穿80刀,跌了快7%。导火索是特朗普突然撤了对伊朗动武的计划,还约周一谈重开霍尔木兹海峡。油一跌,通胀预期跟着松,美债美股双双走强。 这轮反弹带点轧空味道,过去一年最烂的票、Meme股、软件股反而冲在前面。七巨头里Meta、微软、谷歌、特斯拉、英伟达都涨,就苹果掉队。云计算更猛🚀,CoreWeave、甲骨文这些都是两位数涨幅。 ▶️闪迪财报前,多空都在下重注 财报8月5日盘后出,13号还有投资者日。期权市场没有选边,反而是两头都在加仓。 近月Call成交明显更活跃,1300、1370、1500这几档吸引不少资金,说明短线在赌反弹。但拉长看8月21日那档,Put持仓照样很厚,800到1000一线堆了不少仓位。这不是矛盾,是典型的杠铃打法,一边赌暴涨,一边买暴跌保险⚖️ 隐含波动率高得吓人,财报档接近200%,换算下来市场默认这次可能上下波动16%左右。闪迪这个月本来就从1600砸到1000又反弹回来,波动本来就大,这也不是瞎定价。 ▶️SpaceX尾盘拉升 明天盘后就是上市后首份财报,市场预期营收68.8亿,比上季度多了不少,增量主要来自AI算力转租暴增,星链用户和收入都在涨。尾盘这波拉升更像是提前抢跑这个预期。 更关键的其实是估值逻辑在变,市场开始把它从航天股改口叫AI基建加卫星互联网复合体🛰️。算力转租给大厂开出第二增长曲线,星链现金流也稳住了外界对烧钱速度的担心。 还有个技术性因素,8月6日有大批解禁股到期,股价前面已经腰斩过,空头这时候提前回补避险,加上同板块联动,情绪就被放大了。 解禁压力加上AI业务还在烧钱阶段,指引一旦偏保守容易冲高回落。 $SNDK $SPCX
UKong🥷🪃
UKong🥷🪃
July Technology Market Review and August Market Outlook In July, the US tech stocks experienced significant volatility, with the Nasdaq closing the month down. High-momentum stocks suffered heavy losses but saw some recovery at the end of the month thanks to easing inflation and strong earnings reports from major companies. The market's trading logic has completely shifted; the phase of purely speculating on AI expectations has ended. Core of this round of adjustment: leveraged funds forced to sell 📉 This downturn is not due to deteriorating fundamentals; the key trigger was the forced liquidation of high-leverage AI positions. Fund stop-losses caused early capital flight, creating a negative feedback loop in the decline until large funds stepped in to absorb the sell-off, easing panic sentiment. Coupled with rising long-term US Treasury yields, high-valuation growth stocks remain under pressure. Quantitative investment styles have undergone historic rotation, with momentum factors sharply retreating, while cash flow and earnings quality stocks gradually attract capital. Tech giants' earnings diverge, AI valuation standards are being redefined ▶️ The market no longer unconditionally accepts capital expenditure expansion; whether AI investments can translate into revenue has become the core screening criterion: - Microsoft and Amazon: leveraging cloud ecosystem closed loops, computing power investments can be monetized externally, cloud business growth continues to exceed expectations, and the return path on investments is clear; - Meta: computing power is mostly used for internal business, lacking external revenue channels, continuous heavy investment consumes free cash flow; - Apple: hardware revenue is stable, but high-margin service business growth slows, combined with supply chain constraints, long-term growth expectations are limited. ▶️ Key storage sector highlights The storage sector led the pullback in July, with short-term trapped positions suppressing the market. The long-term demand logic driven by AI servers for HBM and enterprise SSD remains unchanged, and the market is likely to oscillate and bottom out. - SK Hynix: leading market share in HBM, high-end capacity locked with top AI customers long-term; - Micron Technology: continuously increasing AI storage capacity, with ample cash reserves; - SanDisk: benefits from steady expansion of data center NAND demand; - ChangXin Memory Technologies: leading domestic DRAM manufacturer, focusing on mass production of DDR5 and LPDDR series, high-end HBM is still in sample verification stage with a technology gap; the core focus is on domestic substitution potential. The popularization of open-source models will not squeeze upstream hardware profits. Models are like recipes, while computing power and storage are the underlying infrastructure. Lower model barriers generate massive AI call demand, ultimately benefiting hardware manufacturers continuously. 💡 August Market Judgment and Practical Strategy The month-end rebound is only an emotional repair and cannot confirm the end of the adjustment. Significant internal policy divergence exists within the Federal Reserve; interest rate trends closely follow inflation and employment data. US Treasury yield fluctuations continue to disturb the tech sector; market leverage clearing is not yet complete, so risks remain. The AI sector has officially entered the earnings verification period, and pure thematic stocks continue to be abandoned by capital. Operationally, prioritize deploying upstream infrastructure leaders with solid cash flow and clear AI monetization paths, keep sufficient cash reserves, and avoid high-leverage speculation. Volatility in the US stock market during summer and autumn is usually high; patience is far better than blindly chasing rallies. July's volatility squeezed out a large amount of speculative bubbles; the long-term industry trend remains unchanged. Subsequent market divergence will intensify, and only assets that can deliver earnings are more likely to have independent market performance. $MU $SNDK $SKHY

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