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高盛上调四大云厂商资本开支预期，利好上游半导体供应链。
是的……我认为你们所有上游半导体供应链公司都会涨得更高。 高盛现在预计，2025到2030年四大超大云厂商 $GOOGL / $META / MSFT / $AMZN 的资本开支合计将达到5.3万亿美元。 这一数字从一季度财报后的4.5万亿美元上调。
英文原文
Yeah… I think all your upstream semi supply chain companies are going much higher. Goldman now expects a combined $5.3 trillion of capex spending for the four largest hyperscalers $GOOGL / $META / MSFT / $AMZN from 2025 to 2030. Revised up from $4.5T from Q1 earnings. https://t.co/UtkU1IU2V5
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说明NBIS对应META/MSFT，谷歌通过Fluidstack与CIFR/WULF做机房交易。
回复 @JonahK44：$NBIS 是 $META 和 $MSFT。 $GOOGL 通过 Fluidstack 做了很多交易，从 $CIFR 到 $WULF，获取更多托管机房。我猜是为了接入更多 TPU。
英文原文
@JonahK44 $NBIS is $META and $MSFT. $GOOGL has done a lot of Fluidstack deals with $CIFR to $WULF for more Colo. my guess is to plug in a lot more of their TPUS
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Ayar与Wiwynn公告对SIVE CPO机架级部署潜力重大。
Ayar 今天与 Wiwynn 的公告，对 $SIVE 在 CPO -> 机架级部署方面可能非常重要。 Wiwynn 的云客户包括 $AMZN、$META、$MSFT。 而且他们一直在谈 $GOOGL TPU 部署。 我认为，仅供参考架构来看，每个机架大约需要512+个 SuperNova 光源。 所以如果 $SIVE 是主要激光阵列供应商（我们预计如此，因为 Macom + Lumentum 已从 Ayar 网站移除）。 即使是中等规模的机架部署，也会对收入非常有意义。 这只是 $SIVE / Ayar / Wiwynn 当前机架级商业化潜力，还不会体现在收入财务中。
英文原文
Ayar’s announcement today with Wiwynn is potentially very material for $SIVE regarding CPO -> rack scale deployments. As Wiwynn cloud clients include $AMZN, $META, $MSFT. And they’ve been in talks for $GOOGL TPU deployments. I think just for some reference architectures it’s around 512+ supernova light sourc a rack. So if $SIVE is the primary laser array supplier (which we expect, given Macom + Lumentum was removed from Ayar’s site). Even modest rack deployments would be very meaningful for revenue. This is just rack scale commercialization potential right now from $SIVE / Ayar / Wiwynn, which won’t show up in revenue financials yet.
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以富途/老虎监管风险为例说明应尽量避免中国敞口。
感觉 $FUTU 和 $TIGR 有点麻烦？中国政府正在追溯它们的历史收入。 中国基本没有公平法律（尤其是知识产权方面），所以如果政府想做某件事，法院会对它们不利。 因此几乎没有上诉机会，除非它们私下达成隐藏交易。我也不认为这些券商能像 $GOOGL 面对20 decillion 罚款那样处理，因为它们有本地运营。 所以简而言之：这是一个好教训，要尽量避免从 $BABA 到 $PDD 的中国敞口…… 而且正如 $META + Manus + 这次案例所示，即使某些东西看起来便宜，也有原因。 这也是为什么所有美国股票都有溢价，即便有点高。
英文原文
Feels like $FUTU and $TIGR are kinda screwed? The Chinese Gov is going after their historical revenues. There's basically no fair law in China (esp. with IP), so if Gov wants something done, courts will be rigged against them. So no chance of an appeal, unless they make a hidden deal. Also don't think the brokerages are able to pull a $GOOGL like their 20 decillion fine, given local operations So TLDR: Good lesson learned to avoid Chinese exposure from $BABA to $PDD as much as possible... And (as seen with $META + Manus + this case), even if something looks cheap. There's a reason why all the US equities have premiums, even if a little high.
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反驳用 SpaceX 高增长去硬套离谱估值
这和我跟 $VCX 争论时遇到的论点一样：有人说因为 SpaceX 增长很快，所以应该值 30 万亿美元，而 $META 才 1.4 万亿美元。 你完全可以通过 Hiive 或其他方式买入，而不是一边付 5 倍溢价，一边还要承受 20 亿美元的稀释，在这么小的 NAV 上继续被摊薄。
英文原文
This is the same at argument I got with $VCX with people telling me SpaceX should trade at $30T because of how fast they’re growing while $META trades at $1.4T. You can just buy it Hiive or other methods without paying 5X premiums… on top of getting diluted $2B off such a small NAV
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Sivers处CPO供应链前沿，910亿美元TAM蓝海刚起步，H2超级周期可期。
只是近期信息发现的回顾 + 与$SIVE的可能映射： -> $JBL 1.6T -> Lightmatter -> Ayar -> $MRVL Celestial -> Lightelligence -> $POET -> $GFS生态 -> $AMD CPO -> O-Net / Enablence -> $AAPL 硅光子学 _ -> $YSS Golden Dome/DoD -> $RTX / $ERIC (太空) -> Bae Systems -> $AEVA $JBL到Ayar供应给超大规模云商如$MSFT、$GOOGL、$AMZN、$META。 Lightelligence到O-Net可能供应给亚洲超大规模云商如腾讯、字节跳动和百度。 在此之上……根据高盛报告，CPO的整体TAM（总可寻址市场）从0增长到$91B。 而Sivers恰好是CPO领域的前沿（也从0开始）。 这绝对是高贝塔和高波动的。 但如果Win卷随着$SIVE一起增长，我看到他们明年都能成为$10B+的公司。 这只是CPO超级周期H2 2026开始之前非常早期的阶段（H1）。
英文原文
Just a recap of recent information discovery + likely mapping with $SIVE: -> $JBL 1.6T -> Lightmatter -> Ayar -> $MRVL Celestial -> Lightelligence -> $POET -> $GFS ecosystem -> $AMD CPO -> O-Net / Enablence -> $AAPL Silicon Photonics _ -> $YSS Golden Dome/DoD -> $RTX / $ERIC (Space) -> Bae Systems -> $AEVA With $JBL to Ayar feeding into hyperscalers like $MSFT, $GOOGL, $AMZN, $META. With likely Lightelligence to O-Net feeding into Asian Hyperscalers like Tencent, Bytedance, and Baidu. On top of that... the overarching TAM with CPO from the GS report goes from 0 -> $91B. And Sivers happens to be the bleeding edge for CPO (also starting from 0). This is definitely high-beta and volatile. But if Win volume ramps alongside $SIVE, I see them both becoming $10B+ companies next year. This is just extremely early on (H1) before the CPO supercycle starts H2 2026.
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Lightmatter 似乎在用 SIVE 激光器
从这些参考资料看……Lightmatter 似乎确实在用 $SIVE 的激光器？ 这是全新的信息发现，对 Sivers 来说极其正面。 Lightmatter 是一家体量巨大的私营龙头（2024 年估值大约 44 亿美元），而 $TSM、$GFS、$TSEM、$AMKR 和 $ASX 都在扩展它的光学项目。 而 Lightmatter 的确需要光源…… $SIVE 还恰好和 $LITE 一起出现在 $GFS 的激光源供应商名单里，所以这些线索开始拼起来了？ 终端用户很可能就是你的超大规模云厂商，比如 $MSFT、$GOOGL（他们投资了）、$META 等，通过 Lightmatter-GUC 等路径进入。 我不认为市场已经把这些都定价进去了，因为整个供应链 BOM 都非常保密，而且很多只是推测。 但当 CPO 和下一代光子架构开始放量时，量产爬坡带来的营收会突然出现在资产负债表上。
英文原文
From the reference... it does look like Lightmatter uses $SIVE lasers? Which is brand new information discovery and extremely positive for Sivers. Lightmatter is a massive private leader (~$4.4B valuation back in 2024), with $TSM, $GFS, $TSEM, $AMKR, and $ASX scaling their optical program. And Lightmatter does require a light source... $SIVE also happens to be on the $GFS laser source suppliers alongside $LITE, so starting to put the dots together? End users are likely your hyperscalers like $MSFT, $GOOGL (they invested), $META, etc through Lightmatter-GUC and others. I don't think markets have priced all of this in, since all the supply chain BOM is very confidential + speculative. But when CPO and next-gen photonic architectures scale up, volume ramp revenue will appear out of nowhere on the balance sheet.
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META 的 capex 利好供应链
@joestar1402 市场也许不喜欢 $META 激进地花 1450 亿美元资本开支……但我觉得小型半导体供应链公司会喜欢，哈哈。 这要看你关注什么。不过整体而言，财报普遍都还是正面的。
英文原文
@joestar1402 So markets might not like $META aggressive capex spending $145 billion… but i think the small semi supply chain players do lol. Depends on what you’re looking at. But earnings were generally positive across the board.
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超大规模云厂商 capex 仍然很强
我已经帮你把情况盯好了。 超大规模云厂商 capex 支出的 TLDR（除了 $TSM 之外的信号）。 来自 $MSFT、$AMZN、$META 的财报： 上游半导体供应链会继续起飞。 $META：2026 财年 capex 为 1150 亿至 1350 亿美元 修正后的 Q1 财报：capex 提高到 1250 亿至 1450 亿美元。 -> 更高的零部件价格（涨价） -> 激进的 AI 基础设施支出 -> 定制模型训练 $MSFT：实际为 319 亿美元，而不是（352.9 亿美元），但原因是供应链瓶颈，而不是资源不足。 我们还在等 $AMZN 的确认，不过他们今年年初的原始 capex 预期大约是 2000 亿美元，来自 Jassy 的备忘录。 所以你可以放心，所有半导体供应链名字在下个季度大概率还是会继续起飞，因为有太多 capex 被灌进去。 然后还有新任美联储主席，他对 AI 和降息都非常积极，而 Jerome 在后面保持平稳（市场大概会喜欢这个）。
英文原文
I've monitored the situation for you. TLDR on hyperscaler capex spend (signal aside from $TSM). From $MSFT, $AMZN, $META earnings: Upstream semi supply chains go brrr. $META: 2026 FY capex $115-$135B Revised Q1 ER: $125B-$145B capex raised. -> Higher component prices (price hikes) -> Aggressive AI infra spending -> Custom Model Training $MSFT: was actually $31.9B vs ($35.29B) but due to supply chain bottlenecks, rather than lack of resources. Still waiting for confirmation around $AMZN but their original capex projection was ~$200B from Jassy's note earlier this year. So you can sleep easy, all the semi supply chain names still likely to keep going brr next quarter, since there's so much capex funneled into them. Then you get the new fed chair who is gung-ho all in on AI + rate cuts, with Jerome keeping stuff chill in the back (which markets probably like)
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META 可能是终端客户
@xm_build 这甚至都算不上泄密…… 你知道 $SIVE 在给 $JBL 的 1.6T LRO 供货，而当你指出 $META 很可能是最终终端客户时（因为 Meta 是 $INTC 的硅光客户，而 Jabil 已经收购了这个链条）， 人们就会生气，然后开始做空。这个文化挺有意思的。
英文原文
@xm_build It's not even leaks though... You know $SIVE is supplying to $JBL 1.6T LRO and when you point out $META is the likely end user (because Meta is the $INTC SiPH customer Jabil acquired). People get upset and start shorting. It's an amusing culture.
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把 SIVE 激光供应链映射到各家客户
我现在已经对瑞典文化感到很有趣了。 当有人把 $SIVE 激光的供应链映射到下面这些名字时，他们的散户 / 记者每天都在哭： -> $MRVL CPO -> $AMD CPO -> $JBL 1.6T LRO -> $NVDA -> $AMZN、$META、$GOOGL、$MSFT -> 腾讯、百度、阿里用于 ELS。 然后他们还会哭得更厉害…… 当别人展示 $AAPL 是 Sivers 激光器的秘密超大规模云客户时（因为苹果下一代 Apple Watch 开发需要每年 5000 万台产能）。 给超大规模云厂商供货……会让本地人难受成这样，甚至想自毁吗？ 有个“瑞典专业人士”出来说 CPO 没什么新东西、也没什么特别，所以 Sivers 也没什么特别，这真的很可笑。 与此同时，$NVDA 正在给从 $MRVL 到 $LITE、$COHR 的每个 CPO 项目都砸 20 亿美元。 X 最酷的地方在于，你每天和全球各地的人互动，都会学到新东西。
英文原文
I'm amused by Swedish culture at this point. That their retail/journalists are crying every day when someone posts a supply chain mapping of $SIVE lasers to: -> $MRVL CPO -> $AMD CPO -> $JBL 1.6T LRO -> $NVDA -> $AMZN, $META, $GOOGL, $MSFT -> Tencent, Baidu, Alibaba for ELS. Then they go crying even further... When someone shows $AAPL is secret hyperscaler customer of Sivers lasers for their next-gen Apple Watch development (which requires 50,000,000 units annually). Does supplying to hyperscalers... Hurt locals's feelings that much to the point they try and self-destruct? It's hilarious that a "Swedish professional" went out and said CPO is nothing new and nothing special, so Sivers is nothing special. Meanwhile $NVDA is just funding every CPO program $2B from $MRVL to $LITE to $COHR left and right. Cool thing about X is you learn something new every day interacting with global audiences.
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两周等权收益回顾
先放这儿…… 如果等权计算，两周回报会是 +15.02%。 在 30 只不同股票上……大多是中大盘。 1. $INTC +29.62% 2. $MRVL +40.95% 3. $TSM +4.72% 4. $COHR +18.9% 5. $RKLB +26.76% 6. $DRAM +12.29% 7. $AVGO +18.32% 8. $AMZN +9.17% 9. $ARM +36.6% 10. $TSEM -1.25% 11. $IBIT +7.68% 12. $NBIS +15.22% 13. $GOOGL +6.41% 14. $AMKR +32.25% 15. $HOOD +19.14% 16. $CRCL +17.58% 17. $META +4.9% 18. $LITE -5.28% 19. $LPTH +20.23% 20. $FN +11.54% 21. $JBL +15.45% 22. $MP +17.48% 23. $HIMS +42.53% 24. $SMTC +18.83% 25. $POWL +9.26% 26. $VPG +17.44% 27. $MOG.A -3.96% 28. $MSFT +11.44% 29. $CVX -1.47% 30. $XLU -2.29% 显然时间周期很短，但我预计这些里面很多还会继续上涨。 如果你在特定名字的下跌时点位进场，而不是一口气同时做多，结果可能会更高。 也不算差吧？
英文原文
Just putting out there... Would have been +15.02% in 2W equal-weighted return. On 30 different stocks... mostly medium-large cap. 1. $INTC +29.62% 2. $MRVL +40.95% 3. $TSM +4.72% 4. $COHR +18.9% 5. $RKLB +26.76% 6. $DRAM +12.29% 7. $AVGO +18.32% 8. $AMZN +9.17% 9. $ARM +36.6% 10. $TSEM -1.25% 11. $IBIT +7.68% 12. $NBIS +15.22% 13. $GOOGL +6.41% 14. $AMKR +32.25% 15. $HOOD +19.14% 16. $CRCL +17.58% 17. $META +4.9% 18. $LITE -5.28% 19. $LPTH +20.23% 20. $FN +11.54% 21. $JBL +15.45% 22. $MP +17.48% 23. $HIMS +42.53% 24. $SMTC +18.83% 25. $POWL +9.26% 26. $VPG +17.44% 27. $MOG.A -3.96% 28. $MSFT +11.44% 29. $CVX -1.47% 30. $XLU -2.29% Obviously short timeframe, but I expect many of these to keep going up more. And probably would have been higher if you time the drop on specific names, rather than going long all at once. Not too shabby?
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交易和投资分开看
有些东西是拿来交易的，有些东西是拿来投资的。 我自从上个月买了 $SIVE 之后，一股都没卖过。我觉得如果他们按正确方式出牌，它会是下一个 $LITE，这就是一笔长期投资。 至于像 $AXTI 这种，我已经涨了 1000%+，但我还是拿着。对于光子这类多年超级周期，不需要卖。 我确实会在看到周期接近尾声，或者有重大变化时，去交短期资本利得税。比如我之前就把 $HOOD、$MSTR 和加密相关名字都卖掉了。乌克兰和平协议出来后，军用无人机相关名字我也做过短线回撤交易。像 $META 或 $MSFT 这种短线修复交易我也会做。 其他长期投资就只要拿着，让它复利，再用保证金提取来避免触发资本利得税。
英文原文
There's stuff I trade, and stuff I invest in. I haven't sold a single $SIVE share since I bought it last month. I expect this to be the next $LITE if they play their cards right, and this is a long term investment. As for stuff like $AXTI, I'm up over 1000%+ but I'm still holding. For multi-year supercycles (photonics), don't need to sell. I do take short-term capital gains tax if I see an end of a cycle nearing or there's material changes, like took all of mine on $HOOD, $MSTR, and crypto names earlier. Or drone names after Greeland peace deal. There's also short term recovery trades like on $META or $MSFT that I take short-term on too. Otherwise, for long term investments, can just hold, let it compound, and use margin withdrawal to not trigger capital gains.
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SIVE 终局映射很夸张
$SIVE 可能在 2027-2028 年映射到的所有超大规模云厂商，光按 9 亿美元市值来看就已经夸张了。 市场根本不懂接下来会发生什么。 从推测性映射来看： > $SIVE -> $POET -> $MRVL -> 1. $AMZN（来自 Celestial 的光子 fabric 采购协议 / warrants） 2. $MSFT（maia） 3. $GOOGL（最近和 Marvell 的开发对话） $SIVE 为 Poet Starlight / 光学 interposer 提供激光，而且几天前 Poet 的 CFO 也确认他们正在给 Marvell 供货。 > $SIVE -> $POET -> “其他超大规模云供应商的 NDA” 1. 西方超大规模云厂商 > $SIVE -> $JBL（1.6T LRO）-> 1. $META（Jabil 承接了 $INTC 的硅光遗产，对应 Meta LRO 项目） 2. $NVDA（NVIDIA 可能把光模块 OEM 出去）-> $MSFT | AWS | 其他超大规模云厂商 $SIVE 是 $JBL 1.6T 光模块已确认的激光源。 > $SIVE -> Ayar（上个月为了量产爬坡融资 5 亿美元） -> 1. Alchip（联合 CPO） 2. Intel 3. GUC/Wiwynn -> $AMZN（Alchip） -> $AMD（来自 $GFS 合作的 CPO）也有可能。 $SIVE 已知是 Ayar 的激光供应商，而且 Ayar 最近把 $MTSI / $LITE 从网站上删掉了。现在只显示 $GFS + $SIVE，这很可能说明 Sivers 是主要激光供应商。 既然 $GFS x $AMD 最近合作了，那如果 AMD 走 Ayar 路线，Sivers 就可能成为其 CPO 项目的核心激光供应商。 > $SIVE -> Enablence -> O-Net（大型亚洲 OEM）-> 亚洲超大规模云厂商 1. $AVGO ELS（可能） 2. $META 和 $GOOGL ELS 3. ByteDance（可能）-> ELS 4. Tencent（可能）-> ELS 5. Alibaba（可能）-> ELS $SIVE 和 O-Net / Enablence 在 OFC 附近有 ELS 合作关系。 Sivers 激光由 Win Semi 之类的代工厂大规模生产……而且在最近的图片展示里，它们也验证在 $GFS 的 CPO 供应链中。 这不是在看 Sivers 今天靠认证收入能指引多少，而是未来每一个西方 / 亚洲超大规模云厂商在 2027、2028、2029 及以后对 CPO / 1.6T 的需求所对应的营收。 $SIVE 看起来是市场上最不被了解、但还没被真正反映出来的光子股票之一。
英文原文
All the hyperscalers $SIVE likely ends up in 2027-2028 is staggering at a $900m MC. Markets don't understand what's coming. From speculative mapping: > $SIVE -> $POET -> $MRVL -> 1. $AMZN (purchase agreement/warrants with photonic fabric from celestial) 2. $MSFT (maia) 3. $GOOGL (recent development talks with Marvell) $SIVE powers Poet Starlight/optical interposers, and Poet's CFO confirmed they're supplying to Marvell few days ago. > $SIVE -> $POET -> "NDAs other hyperscaler suppliers" 1. Western Hyperscalers > $SIVE -> $JBL (1.6T LRO)-> 1. $META (Jabil $INTC SiPH inheritance, maps to Meta LRO program) 2. $NVDA (NVIDIA possibly OEMs optical transceivers) -> $MSFT | AWS | hyperscalers $SIVE is the confirmed laser source for $JBL 1.6T optical transceivers. > $SIVE -> Ayar ($500m fundraiser last month for volume ramp) -> 1. Alchip (Joint CPO) 2. Intel 3. GUC/Wiwynn -> $AMZN (Alchip) -> $AMD (CPO from $GFS partnership) possible. $SIVE is known laser supplier to Ayar, and Ayar removed $MTSI / $LITE from their website recently. Only showing $GFS + $SIVE, likely showing Sivers was primary laser supplier. As $GFS x $AMD partnered up recently, that makes Siver a possible core laser supplier for $AMD's CPO program if they go with Ayar. > $SIVE -> Enablence -> O-Net (massive Asian OEM)-> Asian Hyperscalers 1. $AVGO ELS (possible) 2. $META and $GOOGL ELS 3. ByteDance (possible) -> ELS 4. Tencent (possible) -> ELS 5. Alibaba (possible) -> ELS $SIVE ELS partnership with O-Net/Enablence around OFC. Sivers lasers is mass produced by foundries like Win Semi... and they're validated in $GFS CPO supply chains too from their recent image presentations. It's not about what Sivers is forecasting today from qualification revenue that everyone models off of. Alpha comes from future revenue proportional to demand from every Western/Asian hyperscaler for CPO/1.6T in 2027, 2028, 2029, and onward. $SIVE looks like one of the most unknown photonic stocks on the market that's yet to come.
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ARM 因 CPU 瓶颈受益
在新的瓶颈重新回到 CPU 的背景下，我看好 $ARM。微软的材料里也显示，编排 / RAG 这类东西需要 CPU。 但我预测本地推理的一部分会越来越多地由 CPU 来处理……随着 Gemma 之类的模型未来变得更轻量。 不是每个机器人都需要解开宇宙的奥秘。 数据中心会需要海量的传统 CPU 算力（AWS Graviton、$GOOGL Axion 和 $MSFT Cobalt 都是 ARM 架构）。 $META 和 OpenAI 也是 AGI CPU 的买家。 而 AI 还会继续下沉到边缘端。 150 亿美元的年收入目标……现在看起来越来越合理了？
英文原文
Bullish on $ARM, given the new bottleneck shifting back to CPUs. MS shows stuff like Orchestration/RAG requiring CPUs. But I'm predicting parts of localized inference to be handled by CPUs more and more... as models like Gemma get lightweight in the future. Not every robot needs to be able to solve the mysteries of the universe. Data centers will need an astronomical amount of traditional CPU compute (AWS Graviton, $GOOGL Axion, and $MSFT Cobalt), which are all ARM based. $META + OpenAI are also buyers of the AGI CPU. And AI will flow down to edge. $15B annual revenue target.. Starting to look reasonable?
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晒出自己年内 +1337.81% 的成绩。
我只是分享我的经历和想法。 大家给我太多信用了，其实每个人都是在做自己的交易。 至于我……今天收盘后，我今年年内收益到了 +1,337.81%。 $MSFT、$META 和 $RDDT 今天开始反弹，对我也有一点帮助。 这也正是我为什么相信：如果你的想法真的足够好， 你完全可以在市场里靠做多把钱赚完。 而不是每年收 2000 多美元的付费墙，然后再因为别人免费帮散户而酸。
英文原文
I'm just sharing my journey and thoughts. People give me too much credit, everyone takes their own trades. As for me... I finished the day up +1,337.81% YTD. $MSFT, $META and $RDDT beginning their recoveries today helped a bit. This is exactly why I believe if your ideas were genuinely good enough: You can make all your money going long on them in the markets. Instead of paywalling them for $2000+ a year then getting salty off others helping retail for free.
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说 META 没踩到最低点，但长期不需要精确择时。
@mi20483980476 不错……我没能把 $META 的最低点踩得最漂亮，但长期看也不需要。 不是每天都会出现 mag7 在短时间里暴跌 20% 的情况。 https://t.co/kLtzZeuFQl
英文原文
@mi20483980476 Nice… I didn’t manage to time the very bottom for $META but don’t need to in the long run. Not every day does mag7 growing at record paces sell off -20% in short timeframes. https://t.co/kLtzZeuFQl
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感谢 MSFT 和 META 提供了买点。
谢谢 $MSFT 和 $META。 这次超跌给出了买入机会，当时： -> Microsoft 跌到 360 美元，Meta 跌到 525 美元。 你没必要精确踩到最低点。 但这次反弹大概给很多人都赚出了几代人的财富。 你最后有进场吗？ https://t.co/gII17cJo19
英文原文
Thank you $MSFT and $META. The selloff overreaction presented a buying opportunity when: -> Microsoft hit $360 and Meta hit $525. You didn’t need to time the exact bottom. But the recovery probably minted generational wealth to many. Did you end up taking positions? https://t.co/gII17cJo19
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博主列出30只看好的美股并简述理由，涵盖AI半导体、太空、机器人、加密等领域
今天随机列出30只美国可投资的股票以及我喜欢它们的理由： 1. $INTC——美国晶圆代工的希望，国家安全 2. $MRVL——未来的maia芯片和CPO等附加产品推动营收规模化，业务范围太多数不过来 3. $TSM——半导体/AI的支柱 4. $COHR——业务全垂直整合 + 捕获光学周期 5. $RKLB——太空领域的终极前沿，5年后和20年后都会存在 6. $DRAM——三星/SK海力士的内存敞口 7. $AVGO——超大规模云商不喜欢英伟达GPU税 8. $AMZN——没人能竞争得过隔夜送达卫生纸这件事。机器人技术会长期降低运营费用 9. $ARM——AGI CPU在未来十年会大幅提升营收 10. $TSEM——做光相关的东西你需要晶圆代工 11. $IBIT——比特币，这点我们现在已经众所周知了 12. $NBIS——我认为它是下一个AWS。此外它们还与优步合作做自动驾驶，拥有可扩展的数据库公司、数据标注业务。几乎像一个小谷歌。 13. $GOOGL——youtube不会消失，gemini很棒。它们通过TPU实现垂直整合，用运营收入资助基础设施建设，所以我看好它。 14. $AMKR——超级工厂将在2027-2028年末投产。受益于美国制造政策 15. $HOOD——短期我不喜欢，但长期我看好罗宾汉，因为他们抓住了散户 + 有更多产品如银行等正在规模化。产品创新很疯狂。 16. $CRCL——我恰好非常喜欢稳定币，并认为它们是支付和持有的未来（取决于澄清法案的进展） 17. $META——人们不会很快停止使用Instagram、Whatsapp或其他应用。 18. $LITE——$GOOGL TPU敞口在BOM中占比较高。只要谷歌的AI计划持续运行，我认为$LITE会表现良好。 19. $LPTH——锗和中国出口管制问题将持续存在，因此美国制造的工程替代品将始终重要。 20. $FN——总得有人来组装光学产品 21. $JBL——同上，但加上英特尔硅光业务的IP，可能会成为innolight那样的公司 22. $MP——美国稀土项目极其重要，类似于$INTC涉及的国家安全风险 23. $HIMS——听我说，他们刚收购了一堆公司，股价在$19时有全球DTC渠道。做空者非常讨厌这家公司，但我认为作为逆向多头它实际上很有前景。 24. $SMTC——LRO/LPO转型 25. $POWL——美国版hammond，用于开关设备DC类瓶颈的替代方案 26. $VPG——人形机器人未来会成为主流，大概2027-2028年，这家公司做传感器。 27. $MOG.A——感觉在机器人领域、spacex供应链里到处都能看到它们 28. $MSFT——在$375这个价位，有一天我们会回头看发现这是买入机会。 29. $CVX——战争结束后油价可能会崩，但这些石油公司将变得极其重要，尤其是委内瑞拉还是个金矿。 30. $XLU——我认为降息可能会重启，我们需要电力/电网来支持AI，所以从$CEG到$NEE这些名字将始终重要。 只是顺便抛出一些除了$AAOI和$AEHR之外的想法。
英文原文
Here's a bunch of random 30 US-available random stocks I like today and why: 1. $INTC - America's hope for foundry, national security 2. $MRVL - scales rev from future maia asics and add ons like cpo, they do everything lost count 3. $TSM - backbone of semis/ai 4. $COHR - They do everything vertically integrated + captures optical cycle 5. $RKLB - the final frontier of space will be around 5 years from now and 20 years from now. 6. $DRAM - memory exposure for samsung/sk hynix 7. $AVGO - hyperscalers dont like nvidia gpu tax 8. $AMZN - nobody can compete against the overnight shipping of toilet paper. robotics will lower opex over time 9. $ARM - AGI CPUs scale revenue quite a bit over the next decade 10. $TSEM - you're going to need a foundry for light based stuff 11. $IBIT - bitcoin, we all know by now 12. $NBIS - i think it's the next AWS. Also they do self-driving cars with uber, own scaling DB companies, data labeling. It's almost like a mini Google. 13. $GOOGL - youtube is not going away, gemini is great. they're vertically integrated with TPUs and fund buildout with operating income so i like it. 14. $AMKR - super facilities coming online in late 2027-2028. benefits from made in america 15. $HOOD - i dont like short term, but long term i'm a fan of Robinhood since they captured retail + have more products like banking, etc that they're scaling up. product innovation is wild. 16. $CRCL - I happen to really like stablecoins and see them as the future for both payments/holding (depends on clarity act) 17. $META - people aren't going to stop using instagram or whatsapp, or others anytime soon. 18. $LITE - $GOOGL TPU exposure decently high part of BOM. As long as Google's AI program keeps running I think $LITE will do well. 19. $LPTH - Germanium and China export controls will always be an issue so US made engineered alternatives will always be important 20. $FN - Someone needs to assemble optical stuff 21. $JBL - same as above, but added with ip from Intel's SiPh acqusition so might end up like innolight? 22. $MP - American rare earths program is extremely important, similar to $INTC national security risks 23. $HIMS - Okay here me out they just acquired a ton of companies, and at $19 they have global DTC channel. short sellers really hate this company, but I think it's actually promising as a contrarian long 24. $SMTC - LRO/LPO transition 25. $POWL - US alternative to hammond for switchgear DC type bottleneck 26. $VPG - Humanoids will be a thing down the road maybe 2027-2028, this makes the sensors. 27. $MOG.A - Feels like i see them everywhere in robotics, to spacex supply chains 28. $MSFT - At $375, one day we'll look back and see this as a buying opportunity. 29. $CVX - oil might crash after war but these oil companies are going to be extremely important, especially when Venezulea is a goldmine. 30. $XLU - i think rate cuts might be back online, we need power/grid for AI so these names will always be improtant from $CEG to $NEE Just throwing out other thoughts aside from $AAOI and $AEHR.
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超大规模建设延迟溢出效应利好已锁定产能的Neocloud公司如$NBIS。
英伟达($NVDA)的黄仁勋说： “$NBIS会照顾好你的。” （引用内容）我对上个月这份报告思考得越来越多…… 它对Neocloud板块比如$NBIS（甚至$CRWV）可能比市场预期的要利好得多。 因为超大规模云服务商建设延迟的溢出效应。 这也在一定程度上解释了为什么$META签署了270亿美元的协议。 那些已经为其建设项目锁定产能/组件订单的公司，可能会成为大赢家，因为其他竞争对手停滞不前。
英文原文
Jensen Huang from $NVDA: “ $NBIS will take care of you. “ https://t.co/lIRrnAC3fc
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用订单和 backlog 说明变压器 / 开关设备是数据中心的关键瓶颈。
当前瓶颈：变压器 / 开关设备。 交易思路：在 184 加元买入 Hammond（约 22 亿加元 / 15 亿美元）的多头。 它们主导的市场包括： - 变压器（干式，多年瓶颈，约占市场 23%） - 开关设备（2-3 年瓶颈） - 还生产液体型产品（5 年瓶颈，规模更大） 我个人预计其价格会像 NAND 一样上调，因为 $AMZN、$MSFT 等公司都在争夺配额。 你可能见过这类说法： “美国一半的数据中心建设被推迟或取消，增长受限于电力基础设施短缺”…… 再往下看： “为了解决短缺……加拿大、墨西哥……成了 AI 数据中心高压变压器的最大供应国”…… 猜猜谁在加拿大的 Guelph、墨西哥的 Monterrey 3 和 4，以及美国都有布局？ Hammond。 再看文章引用的，为什么超大规模客户的数据库扩张正在崩掉： “这些挫折背后的主要原因，是关键电气组件的可获得性——比如变压器、开关设备。” 机构大概都在看 Powell、Eaton 之类的公司……但他们可能不知道？ 这些公司其实会买 Hammond 的变压器再装进自己的开关设备里（“大量卖给数据中心、开关设备制造商”）。 它们在变压器市场的份额其实很大（例如干式约 23%）。 最有说服力的信号： -> 2025 年 backlog 同比增长 122%。我们可以据此推测超过 10 亿加元。 例如，公司 2025 年销售额为 8.98 亿加元，产能已经顶到上限。管理层说，2025 年第三季度末的订单价值相当于整个第三季度 backlog 的 53%。 考虑到 2025 年第四季度营收是 2.54 亿，而 backlog “翻了一倍多”，我们可以推算总 backlog 超过 10 亿加元。 另外： “去年毛利率压缩是因为墨西哥工厂建设，但预计毛利率都会上升，工厂扩建会在 2026 年第二季度转化为加速收入增长”，也就是现在。 下行风险在于原材料成本（铜、电工钢）如果再次上升，不过既然处在这种瓶颈里，他们是可以提价的。 我个人的 2026 年前瞻市盈率估计大概是 18-21 倍，2027 年不到 15 倍，因为有产能爬坡。 但如果他们能一边提价，一边接到超大规模客户的紧急订单，前瞻市盈率甚至有可能到个位数。不过那可能会和新并购混在一起。 总之它还是很便宜。 简单总结一下： $AMZN、$MSFT、$META、$GOOGL、$ORCL 的数据中心正在被变压器 / 开关设备短缺卡住。 市场似乎错过了这家市场份额很大的小公司，尽管它有 backlog 可见度，而且随着产能扩张上线，营收还在增长。 我个人觉得很有吸引力，所以建了多头仓位。 当然，这只是我的个人想法，做决定前请自己 DYOR。
英文原文
The current bottleneck: Transformers/Switchgear. Trade Idea: Long Hammond (~2.2B CAD / ~$1.5B USD) at 184 CAD. They dominate the market for: -Transformers (dry, multi year bottleneck ~23% of market), -serve to switchgear (2-3Y bottleneck) -and manufacture liquid too (5Y, larger bottleneck) I personally anticipate components price hikes like NAND, as $AMZN, $MSFT and others compete for allocation. You might have seen: “Half of US data center builds have been delayed or canceled, growth limited by shortages of power infrastructure”… Then you go further: “To address shortages… Canada, Mexico… became the biggest suppliers of high-power transformers for AI data centers to AI data centers” Guess who is in Canada (Guelph).. Mexico (Monterrey 3 and 4)… and the US? Hammond Then here’s the reason the articles cite why hyperscaler DB buildouts are falling apart: “Major reason behind these setbacks is the availability of key electrical components — such as transformers, switchgear”. Institutions are probably looking at Powell, Eaton, and others… but little do they know? Companies like these actually buy Hammond’s transformers to put inside their own switchgear (“strong sales into data centres, switchgear manufacturers") Their market share over the transformers market is actually pretty large (eg. ~23% dry). The most compelling signal: -> 122% Y/Y 2025 backlog increase. And we can infer this to be 1B+ CAD. Eg. company achieved 898m CAD in sales in 2025, capacity ceiling. Management said close of Q3 2025 orders were valued at 53% of the entire closing third-quarter backlog. Given that Q4 2025 revenue was 254 million and the backlog is "more than doubled," we can infer a total backlog value exceeding 1 billion CAD. Also: “Gross margin compression last year was due to the buildout of their Mexico facility, but both gross margins are expected to increase and the facility expansions are expectied to turn into accelerated revenue Q2 2026)” which is now. Downside is if raw material costs (copper, electrical steel) spike again, but given this bottleneck, they can price hike. Personal FWD P/E estimates would be ~18-21 for 2026, <15 for 2027 from volume ramp. But I think it’s possible to hit single digit fwd P/E if they do price hikes mixed with hyperscaler emergency orders. But that might get a little mixed with the new acquisition. Regardless still looks cheap. Just a TLDR: $AMZN, $MSFT, $META, $GOOGL, $ORCL datacenter are being bottlenecked because of a lack of transformers/switchgear. Seems like markets missed this little player with large market share, despite backlog visibility and increasing revenue from capacity expansion coming online. I personally found it pretty compelling, so I went long. Just sharing my personal thoughts, of course DYOR before making any decisions yourself.
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认为超大规模客户延迟扩建带来的外溢，会利好 Neocloud。
我最近对上个月那份报告想得更多了…… 我觉得它对 Neocloud 板块，比如 $NBIS，甚至 $CRWV，的利好可能比市场想象得更大。 原因在于超大规模客户扩建延迟所带来的外溢效应。 这也部分解释了为什么 $META 可能签了 270 亿美元的交易。 那些已经为扩建锁定了产能 / 组件订单的公司，大概率会成为赢家，因为其他竞争对手会被卡住。
英文原文
I’ve been thinking about this report more from last month… It’s probably extremely bullish for the Neocloud segment like $NBIS (and even $CRWV) more than markets think. Because of the hyperscaler buildout delay spillover. And partly why $META might have signed a $27B deal. Companies that already have secured capacity/component orders for their buildout are likely to be major winners as other competition stalls.
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认为 AEHR 在小市值下被低估，正被多家超大客户做资格认证。
$AEHR 在大约 11 亿美元市值下看起来极有吸引力。 Aehr 开始让我想起早期的 $TER，又有点像财报前的 $AAOI。 如果把时间线和猜测客户列出来： 2 月 11 日：Sonoma 为超大客户的 AI ASIC 处理器拿到生产胜利。（大概率是 $GOOGL、$AMZN、$META） - 可能是谷歌？Aehr 收购了 Incal，而 Incal 曾被猜测会被谷歌用于 TPU。 2 月 26 日：来自 AI 主力客户的 1400 万美元。（大概率是 $AMD、$NVDA） - 这里更像是 $AMD，用于 Instinct MI300/MI400。 3 月 3 日：一台 FOX-XP 系统对应的主硅光客户。（大概率是 $INTC siph） - 很可能 $INTC 就是他们的主客户。 3 月 31 日：来自一家新的大型硅光客户的首单。（大概率是 $AVGO、$MRVL、$CSCO） - 新客户（排除了 Intel），大概是这些正转向 800G/1.6T 硅光收发器的公司之一。 （这些都属于非常保密的 BOM 级推测） 不管怎样，这条时间线对 $AEHR 来说就是在不断加码。 也许就是下一次财报。也可能再过两季。 但感觉量产订单只是时间问题。
英文原文
$AEHR looks extremely promising at ~$1.1B MC. Aehr is starting to remind me of an early $TER, mixed with pre-earnings $AAOI. If we look at the timeline and speculated customers: Feb 11th: Sonoma production win for Hyperscaler's AI ASIC processors. (likely $GOOGL, $AMZN, $META). - Probably Google? Aehr bought Incal, who was speculated to be used by Google for their TPUs. Feb 26th: $14 million from AI lead customer (likely $AMD, $NVDA) - Probably $AMD here for Instinct MI300/MI400. March 3rd: Lead silicon photonics customer for one FOX-XP system (likely $INTC siph) - Very likely $INTC has been their lead customer. March 31st: Initial order from major new silicon photonics customer (likely $AVGO, $MRVL, $CSCO ) - New customer (rules out Intel), prob one of these transitioning to 800G/1.6T silicon photonics transceivers (All speculative, very confidential BOM) Regardless. This timeline is just bottling up for $AEHR. Could be next earnings. Or two quarters from now. But feels like a matter of time before we see mass orders.
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反问 AAOI 直连这些巨头客户还有什么更好的客户可言。
@Jornka329996 $AAOI 直接连着 $ORCL、$MSFT、$AMZN，甚至可能还有 $META，还需要什么新客户？ 这大概已经是他们能拿到的最好客户了，哈哈。
英文原文
@Jornka329996 How is $AAOI direct to $ORCL, $MSFT, $AMZN, and maybe $META needing new clients? Those are probably the best they can get lol
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AI数据中心供应链严重依赖亚洲，中东冲突加剧流动性风险，稀土应成美国国安优先事项
Hi Ron，这个话题分为两个不同的部分： 1. 超大规模云服务商（$ORCL、$META、$AMZN）：他们的支出超过了盈利水平（$GOOGL 是罕见的例外，而 $AAPL 相对而言支出并不多）。 因此市场担心这并没有转化为实质性的收入。 尤其是像 Oracle 这样负债累累的公司，降息是使其稍微可持续的重要因素（如果你看债务利息，数目非常庞大），而降息既能推动产能扩张，也能带来实质性的成本节省。 由于伊朗战争和原油价格上涨，原定2026年的降息预期已经落空。 雪上加霜的是，人们担心他们的 AI 数据中心建设供应链会中断。 如果你看看他们的 AI 数据中心部件产地： - 来自台湾 - 来自韩国 - 来自日本 这是一个全球化的供应链。 虽然美国看起来没问题，因为它在石油、液化天然气、氦气和其他半导体供应链所需的资源方面是绝缘的。 但我们的亚洲合作伙伴并不处于长期冲突中。 所以当你看到亚洲那些规模较小、专业化的公司时，它们正在苦苦挣扎。 这种影响会层层放大，一直传导到终端的亚马逊网络服务 AI 数据中心（成本上升、供应短缺）。 2. AI 整体而言：投资者对此非常乐观。 问题在于实现路径，而美国在表面上看起来被中国卡住了。 - 美国投入过多，而中国和其他国家正在蒸馏我们的最新模型（需要 KYC 端点管控），坐享其成。 - 随着 AI 项目的规模扩大，它正变得越来越依赖中国公司。 我认为这是因为美国缺乏稀土，这应该成为我们的头号国家安全优先事项。 这是制造新一代 AI 硬件、机器人供应链和太空探索所需的。 这些资源都由中国和俄罗斯控制。即使是领先的"西方"公司，我已发现它们仍然主要依赖中国/俄罗斯。 这是我们确保前沿项目安全最大的漏洞之一。 如果你看光子学（AI 硬件如何通过光加速），我们没有西方的供应链来满足需求。主要材料来源是中国的 $AXTI 和中国的 Vital 两家公司，然后流转到日本或其他公司，最后进入美国。 如果你看我们的人形机器人项目（我们如何将 AI 带入现实世界），$TSLA Optimus 的所有躯体都是在中国制造的。 美国供应链缺乏制造这些组件所需的稀土，因为成本太高。 3. 中东地区的冲突 近期下跌的一个重要原因是流动性问题。我们在阿联酋、中东的合作伙伴主要在为私募市场提供资金（想想 OpenAI），他们大量的支出流向 AI 市场。 他们也是从 Meta 到微软等科技七巨头最大的投资者之一。 如果他们的油田继续受到干扰，他们可能不得不从美国市场撤出流动性。 这既影响这些公司在 AI 上的支出能力，也会导致美国市场的抛售下跌。 如果有takeaway（要点）的话：请把稀土列为美国头号国家安全优先事项。特朗普总统已经投资了 $USAR、$MP 和几个单独的公司。 但还有许多更多至关重要的、尚未盈利的公司，它们对于制造 AI、自动驾驶汽车和机器人都是必需的。我们需要打破对中国/俄罗斯的依赖。
英文原文
Hi Ron, so there's two different parts to it: 1. Hyperscalers ( $ORCL, $META, $AMZN): They're spending more than they have with profit ( $GOOGL is the rare exception, and $AAPL isn't really spending much relatively). So markets are worried less worried it's translating into material revenue. Especially with companies like Oracle taking on immense amounts of debt, rate cuts were a large driving factor in why it's slightly more sustainable (if you look at debt interest, it's massive), and cutting rates drives both forward expansion and material amounts of savings. Due to the War in Iran, rising crude, former projections with cutting rates in 2026 are now gone. This is compounded that there are worries that their AI buildout supply chain gets disrupted. If you look at where their AI datacenter parts are made: - it comes from Taiwan - it comes from Korea - it comes from Japan It's global. While the US might look like it's fine, since it's insulated to Oil, LNG, helium, and others needed for the semiconductor supply chain. Our Asian partners are not in a long drawn out conflict. So when you look at companies in Asia that are more small and niche they are struggling. And this gets compounded tens of times until it reaches all the way down to the end Amazon Web Services AI datacenter (increased costs, lack of supply). 2. AI as a whole: Investors are very bullish on it. It's just how we get there, and America looks strangled by China optically. - America is spending way too much on it, with China and others distilling our latest models (need KYC endpoints), and reaping all the benefits. - As we scale our AI programs, it's becoming increasingly reliant on Chinese companies. I'd argue it's because America lacks the rare earths, which should be our #1 national security priority. This is needed to make new generations of AI hardware, robotic supply chains, and Space. They're all controlled by China and Russia. Even the leading "Western" companies, I've identified they're mainly relying on China/Russia still. And this is one of the biggest vulnerabilities in securing our frontier programs. If you look at photonics (how AI hardware is sped up by light), we no Western supply chain to fulfill our needs. It's $AXTI (in China), and Vital (in China) as the two main sources of materials needed to make them, that gets passed down to Japan, or other companies before they end up in US. If you look at our humanoid program (how we move AI to the real world), all the bodies of $TSLA Optimus are made in China. American supply chains lack the rare earths needed to make the components because it gets too expensive. 3. Disruption in the Middle East A large part of the recent drop is mainly due to liquidity. Our partners in the UAE, Middle East are largely funding private markets (think OpenAI) and a lot of their spend going to AI markets. They're also one of the biggest investors in Mag7 from Meta to Microsoft. If their oil fields continue getting disrupted they may have to pull out liquidity from US markets. This impacts both the amount of money these companies can spend on AI. As well as causing a drop in American markets from selling. If there's any takeway: Please make Rare Earths Amercia's #1 national security priority. President Trump already invested in $USAR, $MP, and a few individual names. But there are many more extremely critical, yet unprofitable companies that are needed to make AI, to self driving cars, to robotics. And we need to break our reliance on China / Russia.
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提醒市场很残酷，不要在地缘风险下过度加杠杆。
这市场太残酷了。 如果你的股票名字里没有 Win，比如某只晶圆代工…… 那大概率宏观因素会比个股基本面更重要，比如 $MU 和 $META。 只是提醒一下，这时候不要上杠杆，也不要不负责任地过度加仓。 尤其是如果有限地面入侵随时可能开始……这可能意味着冲突延长和供应链进一步受扰。
英文原文
This market is brutal. If your stock doesn’t have Win in its name like a certain foundry… More likely than not macro > individual stock fundamentals from $MU and $META. Just a good reminder not to margin or irresponsibly overleverage during this time. Especially as a limited ground invasion might begin anytime… this might foreshadow extended conflicts and potential supply chain disruption.
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认为 SIVE 可能被多方盯上，也可能因持股结构保持独立。
洗澡时冒出来的一个想法…… SIVE 现在可能已经被 $QCOM、$MRVL、$AVGO、AlChip、联发科、$AMZN、$META、$MSFT 的风投部门盯上了？ 既然现在大家都公开知道了，Broadcom 只要花 3.5 亿美元就能买下 Marvell 在光子学上的咽喉点（Amazon / Microsoft 的 ASIC 项目）…… 或者 Qualcomm 也可以用同样的方式收购 $SIVE，然后在收购 Alphawave 之后把激光 IP 做垂直整合。 又或者……超大规模客户会通过持有足够多股份，想办法让 $SIVE 继续保持独立？
英文原文
It’s funny a shower thought… Probably put $SIVE on the radar for $QCOM, $MRVL, $AVGO, AlChip, Mediatek, $AMZN, $META, $MSFT venture arms now? Since everyone publicly knows now Broadcom can just go and buy Marvell’s photonics chokepoint vulnerability (Amazon/Microsoft ASIC programs) for a rounding error of $350m… Or Qualcomm can do the same buying $SIVE then vertically integrate laser IP after Alphawave aquisition. Or maybe… hyperscalers figure out a way $SIVE remains independent by owning enough shares?
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把近期机构轮动理解为 CPO/ELS 上游链条的机会。
尽管指数和巨头都在跌，比如 $META / $MSFT，但市场里依然明显有一些超额收益者。 这大概说明了机构轮动，或者说某个非常强的新兴行业已经在形成。 最明显的就是 CPO / ELS 供应链。 我个人的标的包括： $TSEM / Win Semi - 光子学里的 TSM $AAOI / $SIVE / $COHR / $LITE - 光源 $SOI / $AXTI - 衬底 $IQE - 外延片 当然也有更大的名字，比如 $MRVL、Sumitomo、$AVGO。
英文原文
There’s clearly some market outperformers despite index’s and mega caps from $META / $MSFT crashing. This probably signals institutions rotation or an extremely strong up and coming sector. The obvious one is into CPO/ELS supply chains. My personal picks were: $TSEM / Win Semi- TSM of photonics $AAOI / $SIVE / $COHR / $LITE- Light Sources $SOI / $AXTI - Substrates $IQE - Epiwafers But of course there are larger names out there like $MRVL, Sumitomo, $AVGO.
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提出让 SIVE 沿光子链条扩张 TAM、借资本注入和拆分推进 ELS 模块规模化。
难道 $SIVE 就不能学 $LITE 那样，把 TAM 往 ELS 整个堆栈一路往下扩吗？ 我已经开始想起早期的 $LITE 了（Oclaro、NeoPhotonics、Cloud Light）…… 下面是我的论点/设想： Sivers 如何把大约 300-400 美元的 ELS（来自 50-100 美元的阵列）吃下来，并成长为一家 100 亿美元以上的公司。 路径大概是： -> Sivers 需要融资。 -> 拿 NRE 预付款或者 PIPE（比如 $AXTI/Northland） -> 直接告诉市场：“$AVGO 和 $LITE 会把你们定制 AI 集群的利润率卡住。” ----> 让 $META / $AMZN / $MSFT 投资注资，来支持未来 ASIC 集群的多来源供应，因为他们会害怕。 尤其是 $NVDA 已经出资 40 亿美元来保障从 $LITE 和 $COHR 的供应……再加上当前 EML 产能瓶颈带来的 PTSD。 其实比大家想的容易。 -> 把光子学业务分拆到美国（市场不喜欢给老牌公司投资）。 - - - - - > 这件事大概率会在 2026 年奏效，因为 CPO / photonics 现在是热潮，而不再是 2024 年到 2025 年初那样。 -> 筹到足够的钱后，自动化晶圆探针机，并给模块 NPI 提供资金。 -> 采用轻资本 fab-lite 测试模型：自建探针卡并内部测试，但把 capex 交给 OSAT。 -> 收购硅光封装 IP（或者继续和 O-Net、$POET 做 JDM）。 -> 保留 Glasgow 的 InP 晶圆厂，用于内部测试、迭代和原始外延。 -> 把光刻、刻蚀等环节外包给 Win Semi 和其他厂商（别自己做重资本环节）。 -> 然后 $SIVE 只要把经过测试的激光器和封装 IP 交给 $FN。 然后就成了。 你拥有了一个独立、可大规模生产、高毛利的 ELS 模块，而 ELSFP 也会成为标准。 之后他们还能做别的事，比如购买 DSP 设计并开始整合技术栈。 不再是每个 10 美元的激光芯片乘 6，做成 50 到 100 美元的激光阵列，而是变成 400 美元的可热插拔模块。 基本上，他们的起点是掌握光子学里激光层面的一个瓶颈护城河…… 然后他们就能像 $LITE 当年那样，往下游做 EML 和光模块。 TLDR： Sivers（$SIVE）在世界正向 CPO 转型的这个时点，持有一个稀缺、独立的 InP 激光瓶颈点。 全球只有少数几家独立公司能做这件事，比如 $SIVE（例如住友、$LITE、$COHR）。 但当然，他们需要资金、需要正确的愿景，才能实现 TAM 扩张。
英文原文
Can't $SIVE just pull a $LITE and TAM expansion down the ELS stack? I'm getting early stage $LITE flashbacks (Oclaro, NeoPhotonics, Cloud Light)... Here's my thesis/idea: on how Sivers can capture the ~$300-$400 ELS (from $50-100 arrays) and become a $10B+ company. How this plays out: -> Sivers is needs funding. -> Get NRE prepay or PIPE (eg. $AXTI/Northland) -> Say "Hey, $AVGO and $LITE are going to choke your custom AI cluster margins". ----> get $META / $AMZN / $MSFT capital injection for multi-source supply for next ASIC clusters cause they're scared. Esp. with $NVDA funding $4B to securing supply from $LITE and $COHR... then PTSD from the current EML capacity bottleneck. It's easier than people think. -> US spinoff of photonics arm (markets don't like investing in legacy companies). - - - - - > This will likely work in 2026, bc CPO/photonics is hot, now and not like 2024-early 2025. -> Raise enough to automate wafer probers and fund the module NPI. -> Fab-lite test model: develop probe cards and test inhouse, but push capex to OSATs. -> Buy SiPh packaging IP (or just continue JDM with O-Net and $POET) -> Keep their Glasgow InP fab for in-house testing for iteration/raw epitaxial. -> Outsource lithography, etching, etc. stuff to Win Semi + others (don't do capex heavy things yourself) -> Then just $SIVE can just hand tested lasers and packaging IP to $FN And Poof. You have a independent, mass producible, high margin, ELS module as ELSFP becomes standard. Then they can do other stuff like buying DSP designs and start consolidating the tech stack. Instead of cheap $10 laser dies x 6 for a $50-$100 laser array, you have $400 hot swappable modules. Basically their starting point is owning one of the chokepoints moat in photonics on the laser level... Then they can go downstream like what $LITE did with EML and optical transceivers. TLDR: Sivers ( $SIVE ) holds a rare, independent chokepoint in InP lasers at the exact moment the world is transitioning to CPO. There's only a few independent companies in the world that can do this like $SIVE (eg. Sumitomo, $LITE, $COHR). But of course they need the funding to achieve TAM expansion and the right vision.
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认为 RDDT 掌握用户信息后，定向广告收入会像 META 一样提升。
@SidG1293 如果他们 $RDDT 掌握了用户信息来做账号验证，那定向广告收入上升的现实就会像 $META 一样。
英文原文
@SidG1293 If they $RDDT knows people’s info for account verification. The sad reality is that their targeted ad revenue goes up like $META.
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对比三只Neocloud股票，认为$NBIS是最佳选择，$CRWV融资结构致命，$IREN长期增值但短期散户不利
我对$NBIS、$IREN、$CRWV以及当前Neocloud市场的看法。 其中一家将在5年内成为下一个AWS： 我的猜测是Nebius。 这不是赢家通吃（DigitalOcean与亚马逊并存），但显然有更优越的结构和可能的赢家。 不利因素： ->伊朗冲突导致降息的可能性很低。 ->更广泛的市场似乎不愿意资助CapEx周期。但又想从中获益。 关于$IREN： 我们理解，4.5GW = X收入。但谁来资助GPU？ 无论谁现在买入$6,000,000,000的ATM。 赢家将是稀释完成后进入的任何人。 现实是，如果没有colo模式，他们没有足够的资金来通过GPU货币化其容量。 而且他们没有找到其他融资方式，因此由于一个会买入他们出售的任何东西的邪教社区，他们选择了ATM。 然而，我同意长期来看这是增值的。只是对现在买入的散户没那么有利。 关于$CRWV： 他们做对了一切... $NVDA支持。超大规模客户... 但他们融资完全错了。现在，超过$1.5B+的年度债务利息正在吞噬Coreweave的利润并侵蚀FCF。 就像信用卡债务一样，Coreweave找到工作来偿还债务，但最终债务利息太高，工作收入不足以覆盖债务和扩张。 如果有任何公司倒闭，$CRWV是第一个因巨额债务和利息而倒下的。 关于$NBIS： 他们正在尽可能做好... $NVDA提供$2B资助capex。 可转债发行（可转债做空对冲对短期价格上涨不利）。 但这是比Coreweave更好的融资结构，利息低得多。 他们现在有来自$META和$MSFT的约$460亿+订单积压，这两家是最盈利的超大规模云服务商之一，且没有像Coreweave那样直接关联OpenAI的风险传染。 与其他公司不同的是；他们的其他公司也有增值（Clickhouse股权增值：avride机器人出租车规模化；toloka三位数增长）。 从我来看：Nebius是明显的赢家。 然而，当前宏观环境不利于整个板块的短期持有者，指数下跌7%。 尤其是如果他们在ATM活跃时买入的话。 长期来看，当他们规模化后获益时（例如$NBIS 2026年Q4，是的，甚至$IREN），收益将是巨大的。
英文原文
My thoughts on $NBIS, $IREN, $CRWV and the current Neocloud market. One of them ends up as the next AWS in 5 years: My guess it’s Nebius. It's not winner takes all (DigitalOcean is there with Amazon), but there's clearly superior structures and likely winners. The downside: -> Low chance of rate cuts from Iran conflict. ->Broader market doesn't appear to want to fund the CapEx cycle. But want to reap the benefits With $IREN: We get it, 4.5GW = X revenue. But who is funding the GPUs? Whoever is buying into the $6,000,000,000 ATM right now. The winners will be whoever enters after holders get fully diluted. The reality is, they don't have enough funding to monetize their capacity through GPUs without colo models. And they didn't find other financing methods, so they went through ATMs because of a cult community that will buy into anything they sell. However, I agree it will be accretive long term. Just not as much for the retail buying in now. With $CRWV: They did everything right... $NVDA backing. Hyperscaler clients... But they financed completely wrong. Now, $1.5B+ yearly debt interest is eating Coreweave alive and cuts into FCF. Almost like credit card debt, Coreweave gets a job to pay off that debt, but eventually, the debt interest is too high that working doesn't really cover that and expansion too. If any company goes down, $CRWV is the first to go the massive debt load and interest. With $NBIS: They're doing as much as they can right... $NVDA funding $2B to fund capex. Convertible note offerings (convertible note short hedging is annoying for short term price appreciation). But this is the best way to do financing structures with much lower interest than Coreweave. They now have ~$46B+ in backlog from $META and $MSFT, two of the most profitable hyperscalers out there, without direct OpenAI linked contagion like Coreweave. And unlike others; there’s appreciation from their other companies (Clickhouse equity appreciation: avride robotaxi scale up; toloka triple digit growth) From my take: Nebius is the clear winner. However, current macro environments does not favor short term holders across the board with indexes dropping 7%. Especially so if they're buying into active ATMs. Long term, the benefits when they scale up eg. $NBIS Q4 2026 (yes, even $IREN), will be immense.
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引用特朗普 1988 年对伊朗的强硬表述，担心市场在计价他不会 TACO。
这是特朗普 1988 年接受采访时谈伊朗的话： “我会在 Kharg 岛上狠狠干一票。我会进去把它拿下来。” 我基本确定，从 $MSFT 到 $META 的市场都在计价特朗普这次不会 TACO 的风险。 真心希望全球经济能赢过“交易的艺术”。 https://t.co/ajYJXLRGfq
英文原文
This was Trump back in 1988 in an interview about Iran: “I’d do a number on Kharg Island. I’d go in and take it.” I’m pretty sure markets from $MSFT to $META are pricing in the risks of Trump not TACOing now. Really hope global economy > “Art of the Deal” here. https://t.co/ajYJXLRGfq
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警示VCX ETF存在严重溢价泡沫，建议回避
关于$VCX的警告。 这是一只权重偏向Anthropic、Databricks、OpenAI、Anduril和SpaceX的热门ETF。 问问你自己：SpaceX的估值是$META的23倍，合理吗？ 该股本月上涨1288%：VCX目前交易价格约为其NAV的20倍。也就是说存在1500-2000%的溢价？ 这就相当于以34万亿美元的价格买入SpaceX。或以16万亿美元买入OpenAI。 你会做空它吗？ 不能：它的流通股极少，且缺乏对冲工具。 但你应该买入吗？ $VCX现在看起来就是"博傻理论"的典型案例，你只是在玩接鼓传花的游戏。
英文原文
Warning about $VCX. A very popular ETF with weighting toward (Anthropic, Databricks, OpenAI, Anduril, and SpaceX). Ask yourself this: Is SpaceX is worth 23 times $META valuation? With the stock going up 1288% this month: VCX is trading at roughly ~20x its NAV. So 1500-2000% premium? This is like buying SpaceX at 34 Trillion USD. Or OpenAI at 16 Trillion USD. Would you short it? No: It's extremely low float and lack of options for hedging. But should you buy into it? $VCX looks like greater fools theory right now and you’re playing hot potato.
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角川书店(Kadokawa)年内涨幅15.93%，用户戏称靠动漫品味跑赢科技大盘。
很多人问我最喜欢的三部动漫： 1）《路人女主的养成方法》（《路人女主的养成方法》）- 角川书店（TYO: 9468） 2）《欢迎来到实力至上主义教室》- 角川书店（TYO: 9468） 3）《Re:从零开始的异世界生活》- 角川书店（TYO: 9468） 角川书店年内至今涨幅：15.93% 经验教训： 如果你对动漫有好的品味，就能跑赢$GOOGL和$META以及大盘指数吗？
英文原文
Lot of people were asking about my top 3 anime: 1) Eminence in Shadow - Kadokawa (TYO: 9468) 2. Classroom of the Elite - Kadokawa (TYO: 9468) 3. Re:Zero - Kadokawa (TYO: 9468) Kadokawa YTD: 15.93% Lesson learned: You can outperform $GOOGL and $META + indexes if have good taste in anime?
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认为美股科技股卖压过头，SpaceX IPO 会制造流动性真空，短期别碰期权。
$MSFT、$GOOGL 和 $META 这轮美国科技股抛售，看起来已经过度了？ Mag7 大致跌幅： Microsoft 年初至今跌 -21.9% Google 年初至今跌 -7.69% $AMZN 年初至今跌 -7.36% Meta 年初至今跌 -8.54% 更糟的是，如果 SpaceX 以 1.7 万亿美元估值在快速纳入指数后 IPO。 大型 IPO 通常会制造巨大的市场流动性真空（对 SpaceX 来说当然是好事）。 不过，我不认为市场真的相信伊朗战争会很快结束。 -> 大盘股出现巨大流动性抽水， -> SpaceX IPO 还会带来更多抽水， -> 尽管基本面在改善 = 短期别碰期权。 长期来看，我预计 Mag7 会恢复。
英文原文
The US tech selloff from $MSFT, $GOOGL and $META looks really overdone now? Mag7 roughly down: Microsoft down -21.9% YTD Google down -7.69% YTD $AMZN down -7.36 YTD Meta down -8.54% YTD What makes things worse is SpaceX IPOing at $1.7T if they get fast-index inclusion. Mega-IPOs typically serve as a massive market liquidity vacuum (good for SpaceX though) However, I don’t think markets are truly convinced War in Iran is ending anytime soon. -> Massive liquidity drain from large caps, -> more upcoming soon with SpaceX IPO -> despite improving fundamentals = don’t touch short term options. Long term I expect Mag7 to recover.
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ARM 发布 AGI CPU，认为架构上解决短缺，但物理产能仍主要利好 TSM。
$ARM 宣布推出一款叫“AGI CPU”的新 AI 芯片。 根据 Arm 的说法，这项业务“预计会增加数十亿美元的年收入”。 - 136 个 Neoverse V3 核心，基于 $TSM 3nm 工艺 - 针对“agentic AI”工作负载定制，OpenAI 和 $META 是首批客户 $AMD 和 $INTC 近期都受益于企业 CPU 短缺。 你可能会问： ARM 能解决这种短缺吗？从架构上说，可以。 从物理产能上说，不行。 最大受益者是 $TSM，但这对转向授权之外业务的 $ARM 来说，也是一个很大的利好。
英文原文
$ARM announces new AI chip called "AGI CPU" According to Arm, the company "Expects it to add billions in annual revenue". - 136 Neoverse V3 cores, built on $TSM 3nm process - Custom-built for "agentic AI" workloads with OpenAI and $META as lead customers. $AMD and $INTC have recently received a tailwind from enterprise CPU shortage. You might be wondering: Does ARM Solve the Shortage? Architecturally, yes. Physically, no. Main beneficiary is $TSM, but this is a large tailwind for $ARM moving forward as they pivot from licensing.
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认为 MSFT / META 的 leaps 比现在更有吸引力，尤其是 OpenAI 资金释放和元宇宙广告影响。
@TheVantaBlack 还没，不过在 $MSFT 上做 LEAPS 其实更有吸引力一点，尤其是 OpenAI 的流动性释放这件事？ $META 也一样，虽然业绩很炸，但延后 Avocado launch 对短期盈利没什么实质影响，因为他们主要还是卖广告，只是会影响外界观感。
英文原文
@TheVantaBlack Not yet, but leaps on $MSFT, especially with OpenAI liquidity unlock feels more compelling here? Same with $META with blowout earnings, delaying Avocado launch doesn’t materially change earnings much short term since they sell ads but does impact optics.
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认为 Mag7 卖压已经过头，资本会重新流回美国科技。
感觉从 $META 593 美元到 $MSFT 373 美元这一段 Mag7 抛售…… 是不是有点过头了？ 现在看起来，超大规模云厂的支出 / ROI / 宏观环境的风险收益都挺有吸引力。 我觉得很快会看到资本重新流回美国科技板块。 https://t.co/KBCi7gMfGT
英文原文
Feel like Mag7 selloff from $META at $593 to $MSFT at $373… Has gone a bit too far? At this point, risk/reward feels on hyperscaler spend vs. ROI vs. macro climates, feels compelling. And we should see capital rotations back into the American tech sector soon. https://t.co/KBCi7gMfGT
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强调 SIVE 通过 CHIPS Act 和国安项目对美国很重要，并给出更高估值判断。
如果你到现在还不知道，$SIVE 通过 CHIPS 法案对美国国家安全很重要。 而且尤其是，它还是超大规模云 AI 供应链的光源。 到目前为止，他们已经拿了大约 1160 万美元的两笔 CHIPS 法案资助： 1. 和 $ERIC 以及 Raytheon $RTX 一起做 FR3 beamformer ICs 2. 和 $BA（LSE）BAE Systems 一起做 EW 技术 CEO 还暗示 2026 年会有更多来自 CHIPS 的资金。 小盘股几乎从来拿不到美国政府这种支持。 你手里有一家市值 3.3 亿美元的公司： 它对美国半导体业务的国家安全至关重要， 也对超大规模云供应链（$MSFT、$META、$AMZN、$ORCL 等）里的光子学至关重要， 通过 $MRVL Celestial、Ayar、Jabil、ONet 等链条。 关于扩产和 capex 的问题，现在已经由 Win Semi 合作基本回答了。 至于“等待 CPO”的机会成本，现在也被 OFC 上 Jabil 1.6T 可插拔模块放量这件事回答了。 $SIVE 是光子学里最被低估的宝石之一，我个人认为它今天就应该值 20 亿美元以上。
英文原文
If you didn't know by now $SIVE is important to US national security via CHIPS act. But especially, as the light source for hyperscaler AI supply chains. They got two CHIPS acts grants ~$11.6M so far: 1. FR3 beamformer ICs with $ERIC and Raytheon $RTX. 2. EW Tech with $BA (LSE) BAE Systems With more coming funding from CHIPS in 2026 hinted by the CEO. Small caps almost never get this sort of support from the US government. You have a company sitting at $330M: That's critical to US National Security for their Semi arm. and Critical to Hyperscaler supply chains ( $MSFT, $META, $AMZN, $ORCL, etc) for Photonics through $MRVL Celestial, Ayar, Jabil, ONet, and others... The main question regarding scale vs. capex is now answered by Win Semi partnership. And the question regarding "CPO waiting" opportunity cost is now answered by the Jabil 1.6T pluggable ramp from OFC. $SIVE of the most unknown gems in the photonics space and I personally think this company should be $2B+ today.
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说 SIVE 因 Jabil、MRVL、Ayar、Onet 等链条而从高风险变成低风险高回报。
是的，我原帖里也公布了财务数据。2 月份的重组，让 $SIVE 变得更有吸引力。 所以我现在认为 $SIVE 已经是低风险、高回报，而不是以前那种高风险了。 在它被宣布成为 Jabil 的光源之后，它也成了我现在高信念的小盘股。 你有 $JBL 在填补 1.6T 可插拔光模块这个巨大的空缺，而不是一直等 CPO。 然后是 $POET -> $MRVL Celestial -> $AMZN、$MSFT。 再然后是 Ayar -> AiChip / 其他 -> $AMZN、$MSFT、$META 等。 最后是 O-Net -> 亚洲的 CPO 供应链。 另外，我不觉得在光子超级周期里，任何收入预测都应该是准确的，因为 TAM 扩张 / 量产放大本身就会改变一切。
英文原文
Yes in my original post, I published financials. The restructuring February, made $SIVE much more highly compelling. So, I see $SIVE being more low risk, high reward. Not high-risk anymore. And it's now my high conviction small cap after they were announced as the light source for Jabil. You have $JBL bridging the MASSIVE gap for 1.6 pluggable optical transceivers, rather than waiting for CPO. Then $POET -> $MRVL Celestial -> $AMZN, $MSFT. Then Ayar -> AiChip/others -> $AMZN, $MSFT, $META, and others. Then onet -> Asian supply chains for CPO. Also I don't think any revenue forecasts should be accurate given TAM expansion/ramp for photonics supercycles.
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Sivers以2.5亿美元估值复制LITE/COHR模式，成为CPO/ELS时代的光源核心供应商，被严重低估。
估值约2.5亿美元的$SIVE|$SIVEF看起来是光通信半导体市场中结构性错误定价最严重的标的之一。 $LITE和$COHR目前拥有450亿美元以上的估值，主要因为它们控制了外部腔体激光器(EML)和垂直腔面发射激光器(VCSEL)的出货——这些器件流向-> InnoLight和Eoptolink，用于当前可插拔光收发器(supercycle)。 我会一直强调这个观点，直到市场理解： Sivers已经为下一个技术范式复制了这一高度盈利的Merchant Supplier（商业代工）模式： -> 共封装光学(CPO)和外部光源(ELS)。 同时还有： -> 激光器，某大型制造商如Jabil正在用于当前的1.6T升级周期。 Sivers预见到架构正在从EML转型，并成为连续波(CW)激光器的纯Play供应商。 当前周期（可插拔光模块）：LITE/COHR供应EML -> InnoLight/Eoptolink制造模块 -> $GOOGL、$META、$MSFT、$AMZN购买。 下一个周期（CPO/ELS）：Sivers供应CW DFB激光器 -> $POET、Ayar Labs -> 流向超大规模数据中心商如$AMZN、$META、$MSFT等。 但与建设大型晶圆厂、承担良率/产能爬坡风险不同： 他们转型为无晶圆厂模式，通过Win Semi外包生产大批量CW激光器，有效降低了规模扩张风险。 那为什么在光电子supercycle期间估值只有2.5亿美元？ 我的观点： 1. 没人知道这家公司。 2. 许多基金的投资限制阻止它们购买瑞典的小盘股。 然而，当你开始关注超大规模数据中心光供应链中那些不知名的上游标的时： 光源领域最顶层的公司是$SIVE。 一家2.5亿美元的小公司，置身于$MTSI、$LITE、$COHR、住友电工以及百亿至数百亿美元市值的现有巨头之间。 再说一遍…… 一家2.5亿美元的公司： 为Jabil的1.6T LRO光收发器模块提供核心光源。 Jabil是巨头。 同时还为Ayar、$POET、Enablence/$ONET以及许多其他名字（尚未公开披露）提供多元化供应。 $SIVE已成功打入超大规模数据中心商的供应链，成为未来光电子架构的核心光源供应商。 相对于未来市场空间扩张和产能爬坡来看，估值被严重低估了。
英文原文
< $SIVE | $SIVEF > at a ~$250M valuation looks like one of the most severe structural mispricing in the optical semi market. $LITE and $COHR, have $45B+ valuations today: Largely because of their control over EMLs and VCSELs that they ship to -> InnoLight and Eoptolink. For current pluggable transceiver supercycles. I will keep hammering this home until markets understand: Sivers has replicated this exact, highly lucrative merchant-supplier model for the next paradigm: -> CPO and ELS. And also: -> Lasers that a massive manufacturer like Jabil is using for the current 1.6T upgrade cycle. Sivers saw architectures shifting away from EML and became the pure play supplier for CW. Current Cycle (Pluggables): LITE/COHR supply EML -> InnoLight/Eoptolink build modules -> $GOOGL, $META, $MSFT, $AMZN buy them. Next Cycle (CPO / ELS): Sivers supplies CW DFB -> $POET, Ayar Labs -> flows to hyperscalers like $AMZN, $META, $MSFT and others. However, instead of building up mega fabs with yield/capacity ramp risk: They transitioned to an outsourced, fabless model for high-volume CW Lasers with Win Semi and effectively de-risked scaling. So why does it have a $250M valuation during the photonics supercycle? My opinion: 1. Nobody knows about it yet. 2. Many fund mandates prevents them from buying small caps in Sweden However, when you start looking at obscure upstream names in hyperscaler light supply chain: At the top for the light source sits $SIVE. A small $250M company among $MTSI, $LITE, $COHR, Sumitomo and the $10B-$40B+ incumbents. Again... A $250M company: Powers Jabil's 1.6T LRO optical transceivers modules. Jabil is massive. As well as Ayar, $POET, Enablence/ $ONET and many other names now (that are not disclosed) for diversification. $SIVE found their way to scale as the lightsource of hyperscaler supply chains for future photonic architectures. And looks incredibly undervalued, relative to forward TAM expansion and ramp.
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用“AI 养牛”调侃 AI 造成的自动化失业会继续外溢到更多行业。
我当时在推演那家做“牛用 AI”的 20 亿美元公司会带来哪些二阶效应。 然后我突然意识到一件很残酷的事： 牧羊犬也要失业了。 AI 带来的岗位替代会波及一切。 $ORCL、$AMZN、$META 等公司都在因为 AI 自动化裁员。 现在连你家附近的狗也要失业了。 我的宠物鱼是不是也要下岗了？
英文原文
I was mapping second-order effects of the $2B company that does AI for Cows. I just realized something brutal: Shepard Dogs Are Going to Be Unemployed. AI displacement is coming after everything. $ORCL, $AMZN, $META, and others are laying off workers from AI automation. And now your local dogs will be unemployed too. Is my pet fish going to be out of a job too?
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分析SIVE预收入仅$250M却或是超大规模数据中心未来光源，低估值蕴含巨大潜力。
今天关于 $SIVE 的一些想法，市值约 $250M： Sivers 是未来可能的共封装光学(CPO) + 激光阵列光源，为 $AMZN、$META 和 $MSFT 等超大规模数据中心提供动力。 以约 $250m 的市值... 从已确认的客户来看，估计映射如下： 1. Jabil ($JBL) LRO 光收发器（前身为 $INTC 的硅光子学业务）-> $AMZN、$META 及其他超大规模数据中心。 2. Ayar -> AIChip/GUC -> $AMZN 及其他超大规模数据中心。 3. Enablence -> O-Net -> 亚洲超大规模数据中心。 4. 以及其他未确认的客户。 人们一直在问关于今天波动性的无尽问题：如果一只股票能上涨 20%，它也能下跌 20%。 $AXTI 经常出现 +30%、-30% 这样的波动（例如财报 -30% 至 $20，现在在 $60）。 就像 AXT 一样，正如你所见，重要的是它有长期跑赢大盘的潜力。 这就是为什么在进入任何交易之前形成自己的信念很重要，这样你就不需要每天问我问题了，如果你自己做了这笔交易的话。 我个人持有长仓，我真的认为 Sivers 有潜力成为市值 $5B+ 的公司，尤其是获得 Win qualification 的话。 尤其是在今天一些分析师告诉人们卖出 $SIVE 获利之后： - 如果你看 $COHR、$LITE 和其他光源公司的估值，它们现在是 $40B+。 - $SIVE 预收入先进封装 counterparties 都是 $1B-$4B+。 - 而我们有 $SIVE 作为超大规模数据中心供应链的未来光源和 Jabil 光收发器： 市值约 $250M。 这只是我的个人意见，但将信念锚定在市值（$250M）——作为超大规模数据中心供应链的光源——比锚定在价格波动上更好... 尤其是当机构（约 14.1% 持有）能够通过震荡多数持股的股票来建仓时。 这就是为什么我早早分享了我关于 $AXTI 或 $SIVE 的想法，因为我相信散户投资者有可能抢先机构一步，抓住 AI 供应链中即将出现的瓶颈环节。 以及为什么我分享了 $SIVE 的超大规模数据中心供应链映射，这样人们可以基于未来光源增长形成自己的信念。
英文原文
My thoughts today on $SIVE, at a ~$250M MC: Sivers is the future likely CW + laser array light source powering hyperscalers from $AMZN, $META, and $MSFT. At ~$250m... From confirmed clients, est. mapping: 1. Jabil ( $JBL ) LRO Transceivers (Former SiPH $INTC) -> $AMZN, $META, and other Hyperscalers. 2. Ayar -> AIChip/GUC -> $AMZN and other hyperscalers. 3. Enablence -> O-Net -> Asian Hyperscalers 4. And other unconfirmed customers. People have been asking me endless questions about today's volatility: If a stock can go up 20% it can do up 20% too. $AXTI had those +30%, -30% movements all the time (eg. Earnings -30% to $20, now at $60). And like AXT as you've seen, what matters is it has the likely potential to outperform long term. That's why it's important to develop your own conviction before entering any trade, so you don't need to ask me questions every day if you take it yourself. I personally have a long position and I do think Sivers has the potential to be a $5B+ company with Win qualification. Especially amid some analysts post today telling people to take profits on $SIVE: - If you just look at $COHR, $LITE and other light source valuations today, they're $40B+. - $SIVE pre-revenue advanced packaging counterparties are all $1B-$4B+. - And we have $SIVE as the future light source for hyperscaler supply chains and Jabil transceivers: At ~$250M. Just my personal opinion, but it's better to anchor conviction to the marketcap ($250M) as the light source for hyperscaler supply chains, than price fluctuations... Especially when institutions (~14.1% owned) are able to to shake the tree of a majority owned stock to build a position. This is why I've shared my thoughts about $AXTI or $SIVE early since I think it's possible for retail investors to frontrun institutions for the up and coming chokepoints in AI supply chains. And why I've shared hyperscaler supply chain mapping for $SIVE so people can build their own conviction on future light-source growth.
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认为 SIVE/SIVEF 本周大涨后仍被低估，是多家光子和云厂供应链中的关键激光源。
$SIVE <> $SIVEF 这周已经涨了 165%。 估值呢？大约 3 亿美元市值。 不过我可能是傻了，或者说 Sivers 其实就是当下光子领域最好的机会之一。 你买到的是 Jabil、Ayar、Poet（$MRVL Celestial）、O-Net 等公司的激光供应商： 而这些最终都会流向 $GOOGL、$MSFT、$AMZN、$META 的 AI 数据中心。 市值才 3 亿美元。 今天的 EML 激光供应商，比如 $LITE 到 $COHR，作为参照都在 450 亿美元以上。 这可能是未来上游光子供应链里最不被市场理解、却又至关重要的瓶颈之一。 而市场现在才刚开始给它定价。
英文原文
$SIVE <> $SIVEF is now up 165% this week. Valuation? ~$300M MC. However; either I’m dumb or Sivers is one of the best opportunities in photonics today. You get the laser supplier for Jabil, Ayar, Poet ( $MRVL Celestial ), O-Net, and others: That end up in $GOOGL, $MSFT, $AMZN, $META AI datacenters. At ~$300M. The EML laser suppliers today from $LITE to $COHR for reference are $45B+ This is one of the most undiscovered yet critical bottlenecks for future upstream photonics supply chains. That markets have only starting to price in today.
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把 SIVE 视作 MRVL Celestial、Ayar、O-Net、Jabil 等链路的激光源，最终服务于大型云厂商。
它们字面上就是 $MRVL Celestial 通过 $POET、Ayar -> AI Chip / GUC、O-Net，乃至现在的 Jabil 所使用的光源。 所以终端客户大概率全是 $MSFT、$GOOGL、$META、$AMZN……也就是说，它们可能会成为整个超大规模云供应链，甚至亚洲供应链的未来潜在光源。 市值只有 2.8 亿美元，wtf？ 按 30 亿到 50 亿美元去看都不夸张。
英文原文
They're literally the light source for $MRVL Celestial through $POET, Ayar -> Ai Chip/GUC, O-Net, and now Jabil. So end users are probably all $MSFT, $GOOGL, $META, $AMZN... The future potential light source for the entire hyperscaler supply chain and even ones in Asia. At $280m MC, wtf? $3-5B MC for $SIVE near term is not far fetched.
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Sivers成为Jabil 1.6T光收发器激光光源供应商，是其在CPO/硅光子供应链中的重大突破。
Sivers <$SIVE/$SIVEF>为Jabil（270亿美元市值）<$JBL>的1.6T长距离光(LRO)收发器提供光源。 作为激光光源供应商。 这无疑是$SIVE（2.8亿美元市值）公司历史上——也是今天$NVDA GTC大会上——最大的新闻…… Jabil从$AMZN、$GOOGL和$META等终端用户那里带来约300亿美元以上的收入。 以及$NVDA、Arista、$AVGO和Cisco等OEM厂商。 尤其是在收购$INTC的硅光子(SiPh)光收发器业务后，他们在该领域已是一级供应商(Tier 1)。 Sivers为Jabil提供连续波分布反馈激光器(CW DFB laser)光源，应用于硅光子学(Silicon Photonics)和共封装光学(CPO)及超大规模云服务商供应链： 对于一家市值仅2.8亿美元的公司来说，这是难以置信的，而且他们是光子学领域我见过的最不知名却最具潜力的公司。 $NVDA GTC的消息只是进一步巩固了这一投资论点。 我认为他们真的有机会成为下一个$LITE。
英文原文
Sivers < $SIVE / $SIVEF > powering Jabil ($27B MC) < $JBL > 1.6T LRO transcivers. As the laser light source. Is by far the biggest news from $NVDA GTC for Sivers ($280M MC) today... in history. Jabil brings in about $30B+ revenue from end users like $AMZN, $GOOGL, and $META. As well as OEMs like $NVDA, Arista, $AVGO, and Cisco. Especially after acquiring $INTC SiPH optical transceiver business, they're Tier 1 in the space. Sivers powering Jabil as the CW DFB laser source for Silicon Photonics and CPO and hyperscaler supply chains: At a $280M MC is incredible, and they're one of the most unknown yet highest potential company I've seen in the photonics sector so far. And the news from $NVDA GTC just cemented this thesis further. I think they genuinely have a shot at becoming the next $LITE.
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博主认为SIVE成为Jabil光源供应商的消息将驱动SIVE股价大幅重新估值。
@mrsgayathridas 关于$IBKR的看法。$SIVE成为$JBL的光源这个新公告可能是迄今为止最大的新闻。我预计这只股票将因这个消息而获得巨大的重新估值。Jabil为$GOOGL、$META、$AMZN、$MSFT提供光收发器。他们是一个巨头的存在。
英文原文
@mrsgayathridas $IBKR. The new announcement $SIVE is the light source for $JBL is probably biggest news to date. And I expect the stock to get re-rated immensely from the news. Jabil powers $GOOGL, $META, $AMZN, $MSFT for optical transceivers. They’re a huge player.
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Sivers被指定为Jabil 1.6T光收发器光源供应商，验证其CPO/硅光子学光源论点
Sivers < $SIVE / $SIVEF > 将为 Jabil ($JBL) 的下一代光收发器提供动力。 Sivers 被指定为 Jabil 旗舰 1.6T 模块的光源供应商…… 这可能是迄今为止最大的新闻？ 这验证了 Sivers 作为共封装光学(CPO)/硅光子学光源的下一个 $LITE 的论点。 来源：Semicap，$NVDA GTC。
英文原文
Sivers < $SIVE / $SIVEF >to power Jabil ( $JBL ) next-generation optical transceivers. The fact Sivers is named as the power source for Jabil's flagship 1.6T module… is probably the biggest news to date? This is thesis validation that Sivers is the next $LITE as the light source for CPO/Silicon Photonics. Source: Semicap, $NVDA GTC.
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Sivers涨幅29%达2.82亿市值，作者认为其作为CPO/硅光子学上游激光供应商，是下一个LITE，尚未被市场定价。
Sivers今天又涨了29%，市值达到2.82亿美元。我真心认为$SIVE可能是下一个$LITE。因为他们被定位为下一代超大规模算力供应链接构的光源。当scale up-scale out架构转向共封装光学(CPO)和硅光子学(Silicon Photonics)时——光子学超级周期(Photonics Supercycle)的开端。那些从$POET和Ayar购买并封装其激光阵列/cw DFB激光(连续波分布反馈激光器)的公司——估值约10亿至40亿美元以上（不包括O-Net或未披露的公司）。在当前可插拔光收发器(Pluggable Transceiver)周期中：激光供应商通常比其购买光源的封装对手方获得更高的估值溢价。所以，我确实认为$SIVE在很大程度上被市场忽视，远未反映在股价中。（该推文引用了@aleabitoreddit的推文，仅供理解语境）：$SIVE是CPO和硅光子学的上游激光供应商。他们是未来类似$COHR/$LITE的光源供应商，可能用于：- $AMZN Trainium集群- $MSFT Maia集群以及可能的其他超大规模算力商如$META MTAI和$GOOGL TPU集群。目前市值约2亿美元。关联映射（推测性）：$SIVE（光源）-> $POET（光学中介层）-> $MRVL（可能是Celestial内部供应）-> $MSFT Maia + $AMZN Trainium。$SIVE（光源）-> Ayar -> AiChip -> $AMZN Inferentia/Trainium。$SIVE（光源）-> Enablence -> O-Net -> ？亚洲超大规模算力商。持续进行中：$SIVE（光源）-> Ayar -> GUC -> ?（Google $TPU）。$SIVE（光源）-> Ayar（TeraPHY/SuperNova）-> Wiwynn（内部CPO）-> ?（$MSFT, $META历史上Wiwynn最大的客户）。由于类似$MRVL Celestial这样的内部供应模式，他们获得了免费搭乘。然而，他们确实在商业模式下与Lumentum、Coherent和$MTSI多源自ELS竞争，并与Ayar一起获胜。但无论哪种方式他们都能赢。对于大规模生产爬坡，其中很大一部分取决于正在进行的Win半导体验证，但这可能是一个重要指标。再强调一下，供应链BOM（物料清单）是极其机密的。$AMZN永远不会告诉任何人"嘿，我们用$SIVE"。但如果你把1+1+1+1+1放在一起，你可以拼凑出可能的供应商。大多数人看到"Poet Starlight"使用$SIVE，或Ayar使用$SIVE。但没有映射所有多跳关系来看它们最终去向哪里。我确实认为$SIVE是一个非常未被发现的机遇，作为未来硅光子学领域可能的迷你版$LITE，当时市值2亿美元。作为未来CPO/硅光子学规模扩展的上游激光供应商，用于cw DFB激光器和激光阵列的超大规模算力供应链接构。
英文原文
Sivers is up another 29% to a $282M marketcap today. I genuinely think $SIVE could be the next $LITE. As they’re positioned as the light source for the next generation of hyperscaler supply chains. When scale up-scale out architectures transition to CPO & Silicon photonics. For the start of next Photonics Supercycle. The companies that buy and package their laser arrays/cw dfb lasers from $POET to Ayar? Are worth ~$1B-$4B+ (not including o-net or undisclosed). With current pluggable transceiver cycles: Laser suppliers typically command higher valuation premiums than their packaging counterparties that buy the light source. So, I do think $SIVE is largely undiscovered by markets and far from being priced in.
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$SIVE作为2亿美元市值的硅光子学上游激光供应商，是未被发现的机遇，供应超大规模业者CPO供应链。
$SIVE是CPO和硅光子学的上游激光供应商。 他们是未来可能像$COHR和$LITE那样的光源供应商，用于： - $AMZN Trainium集群 - $MSFT Maia集群 以及可能还有其他超大规模业者的$META MTAI和$GOOGL TPU集群。 市值约2亿美元。 关系映射（推测性）： $SIVE（光源）-> $POET（光学中介层）-> $MRVL（可能是Celestial专用）-> $MSFT Maia + $AMZN Trainium $SIVE（光源）-> Ayar -> AiChip -> $AMZN Inferentia/Trainium $SIVE（光源）-> Enablence -> O-Net -> ? 亚洲超大规模业者 正在进行中： $SIVE（光源）-> Ayar -> GUC -> ?（Google $TPU） $SIVE（光源）-> Ayar（TeraPHY/SuperNova）-> Wiwynn（专用CPO）-> ?（$MSFT、$META历史上是Wiwynn最大的客户）。 由于$MRVL Celestial等专用模式的存在，他们可以免费搭便车。 然而，他们在与Lumentum、Coherent和$MTSI的多源ELS竞争中对抗Ayar并获胜，即使在商业模式下也是如此。 但无论哪种模式他们都能获胜。 对于大规模生产爬坡，其中很大一部分取决于正在进行中的Win半导体认证，但这可能是一个重要指标。 同样，供应链BOM（物料清单）极度保密。$AMZN永远不会告诉任何人"嘿，我们使用$SIVE"。 但如果你把1+1+1+1+1加起来，你可以拼凑出可能的供应商。 大多数人都知道"Poet Starlight"使用$SIVE。或者Ayar使用$SIVE。但没有将所有多跳关系映射到最终目的地。 我真的认为$SIVE是一个极未被发现的机遇，可能成为下一个小型$LITE，用于硅光子学，在2亿美元市值下。 因为他们是未来CPO/硅光子学规模化扩展中超大规模业者供应链的上游激光供应商，cw DFB激光器和激光阵列用于扩展。
英文原文
$SIVE is the upstream laser supplier for CPO and Silicon Photonics. They're the likely $COHR / $LITE type future light source for: - $AMZN Trainium Clusters - $MSFT Maia Clusters and possibly other hyperscalers like $META MTAI and $GOOGL TPU clusters. At a ~$200M MC. Relational Mapping (speculative): $SIVE (light source) -> $POET (optical interposers) -> $MRVL (Likely Celestial Captive) -> $MSFT Maia + $AMZN Trainium. $SIVE (light source) -> Ayar -> AiChip -> $AMZN Inferentia/Trainium $SIVE (light source) -> Enablence -> O-Net -> ? Asia Hyperscalers _ Ongoing: $SIVE (light source) -> Ayar -> GUC -> ? (Google $TPU) $SIVE (light source) -> Ayar (TeraPHY/SuperNova)-> Wiwynn (captive CPO) -> ? ( $MSFT, $META historically Wiwynn's largest clients). Because of captive models like $MRVL Celestial, they get a free ride. However, they do compete multi-source ELS against Lumentum, Coherent, and $MTSI with Ayar and win anyway in merchant models. But they win either way. For high-volume production ramp up, a large part of it depends on the ongoing Win semi qualification, but this will likely be a large indicator. Again supply chain BOM is extremely confidential. $AMZN will never tell anyone "Hey, we use $SIVE ". But if you put 1+1+1+1+1 together, you can piece together the likely suppliers. Most people see "Poet Starlight" uses $SIVE. Or Ayar uses $SIVE. But don't map all the multi-hop relations to see where they end up. I do think $SIVE is an extremely undiscovered opportunity as the next possible mini $LITE for Silicon Photonics at $200m MC. As they're the likely upstream laser supplier for hyperscaler supply chains for future CPO/Silicon Photonics scale up with cw dfb lasers and scale out with laser arrays.
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认为股权稀释不可取，但至少发生在 270 亿美元的 META 合同之后。
@beauty_oe 没人会喜欢股权稀释。不过至少它是在和 $META 签下 270 亿美元合同之后发生的，这一点总算稍微没那么糟。
英文原文
@beauty_oe 株式の希薄化を喜ぶ人なんていない。ただ、少なくとも $META との270億ドルの契約の後に来たのがせめてもの救いだ。
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认为 270 亿美元 hyperscaler 合同加 37.5 亿美元可转债，优于直接做 60 亿美元 ATM 稀释。
@vaguelyliquid 没错，和 $META 签下 270 亿美元的超大规模云合同，再配一笔 37.5 亿美元的可转债发行…… 在各个层面上都比随便来个 60 亿美元 ATM 股权稀释要强得多。
英文原文
@vaguelyliquid Yes, $27B hyperscaler deal with $META into a $3.75B convertible notes offering.. Is vastly superior in every level to a random $6B ATM dilution.
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在与 META 达成 270 亿美元交易后，NBIS 推出 37.5 亿美元可转债融资。
最新消息：在与 $META 达成 270 亿美元的超大规模云累计交易之后。 $NBIS 推出拟议 37.5 亿美元可转债发行，用来资助后续建设。 市场认为这比直接股权 ATM 稀释强得多。 因为债务只有在……
英文原文
Just in: Following the new $27B Hyperscaler Cumulative Deal with $META. $NBIS launches a proposed $3.75B in convertible note offerings to fund the buildout. Markets view this as vastly superior to straight equity ATM dilutions. As the debt only converts to equity if the company successfully drives the stock price up past that high strike. More details for Nebius are likely to come soon.
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回应批评，承认错误但强调整体准确率较高，高信念股是核心持仓
你说得对，我已经单独发了帖子详细说明我预测错误的每一只股票。 我也提到了几十只股票。 重点是：我通常正确的时候比错误的时候多。而我高信念的股票，是最大仓位。 $FLY实际上是2027年中量级预测搭配$NOC，有时候它们需要时间才能实现。 你说得对，我在$META上亏了很多钱。但通过他们的财报电话会议弥补回来了。 $WLAC还没上市，所以不太确定你在这里指的是什么。 但就像$NBIS（高信念股）一样，我最初发帖时在$80-$90，现在它们确实需要时间来实现。
英文原文
You’re right, and I’ve made a separate posts already detailing every single name I’ve gotten wrong. I also mention dozens of stocks as well. The point is: I typically get more things right than wrong. And my high conviction picks, are highest concentration. $FLY was actually 2027 for medium lift with $NOC though, sometimes they need time to play out. You’re right, I lost a lot on $META. But made up for it from their earnings call. $WLAC hasn’t even IPOed yet, so not quite sure what you’re calling out there on though. But as seen with $NBIS (high conviction), I originally posted in the $80s-$90s and they do need time to play out.
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推测消息发生在 META 合同之后。
@Wind56083722900 大概是在 $META 合同之后。 感谢 @lesantcho9306 提供来源。 https://t.co/HVZJsgoJJ4
英文原文
@Wind56083722900 Probably after $META deal. Shoutout to @lesantcho9306 for the source. https://t.co/HVZJsgoJJ4
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认为市场前瞻定价，META 对 NBIS 的合同从 30 亿美元扩大到 270 亿美元是强信号。
@daniel_koss 对，但市场是向前看的。 他们最初和 $META 的合同只有 30 亿美元，现在已经扩到累计 270 亿美元…… 这对 Nebius 来说是一个巨大的信心信号，说明它正成为 AI 基础设施的首选。
英文原文
@daniel_koss Yep, but markets are forward looking. Originally their deal with $META was $3B but it’s 9’xed to $27B cumulative… This is a huge signal of confidence to Nebius as the infra of choice for AI.
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日文说明 META 给 NBIS 的累计 AI 支出合同从 30 亿美元增至 270 亿美元。
@yasutaketin 来自 $META 的惊人巨额合同！最初是 30 亿美元，但现在已经增加到累计 270 亿美元。 我对未来的 $NBIS 充满强烈信心。
英文原文
@yasutaketin $META からとんでもない巨額契約がきた！元々は30億ドルだったけど、なんと270億ドルに増額。 今後の $NBIS には強い確信を持ってる。
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宣布 META 与 NBIS 签下 270 亿美元累计 AI 开支合同，Nebius 距 ARR 目标更近。
刚刚：$META 与 $NBIS 签下了一份高达 270 亿美元的累计 AI 开支合同。 Nebius 是我最看好的 neocloud AI 基础设施数据中心标的。 很高兴管理层正在朝着 70-90 亿美元 ARR 目标执行。 Nebius 盘前上涨 14.79%，至 129.66 美元。 https://t.co/RaaDWm1if0
英文原文
Just in: $META signs an enormous $27 Billion cumulative AI spend contract with $NBIS. Nebius was my top Neocloud AI Infrastruture DC pick. Glad management is executing toward their $7-9B ARR target. Nebius is up 14.79% premarket to $129.66. https://t.co/RaaDWm1if0
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解释有些公司会保留法律主体名称，但对外会用更酷的项目名。
他们甚至不需要在法律上重新命名这个站点，或者重新提交文件。 他们只需要把运营主体继续写成“Barber Lake, LLC”就行，留着审计用。 然后市场团队在别处就可以把它叫做“The Leviathan Megacluster”。 这正是 $META 的做法……
英文原文
They don't even have to legally "rename" the site or file new paperwork. They just keep the operating entity as "Barber Lake, LLC" for review. Then, the marketing team can refer to it as "The Leviathan Megacluster" everywhere else. It's exactly what $META does. You can have "Prineville Data Center" on the permits, but the naming is "Research SuperCluster
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认为 AI 已引发不可逆的岗位替代，投资相关基础设施和瓶颈是对冲失业冲击的主要方式。
这个消息真的很令人心碎： $META 裁员 20% $ORCL 裁员 $AMZN 长期将有 60 万名工人被机器人和 AI 取代。 这是一种反乌托邦未来。 企业在没有人工劳动成本的情况下，仍然能赚创纪录的利润。 唯一能从中受益的办法： 把 AI 当成对冲工具去投资。 未来几年，想逃离 AI 造成的永久底层阶级，感觉最主要的办法就是这样。 AI 产生的股东权益回报，将流向股东。 而那些没投资股票、只能靠工资过活的人之间的差距会继续拉大。 这不是未来，而是已经在发生。 - Opus 4.6 已经足够替代今天大多数软件工程师。 - Waymo 已经开始在旧金山这样的地方替代出租车司机。 - 我们知道 $TSLA 的人形机器人也快来了，因为它们在中国已经普及。 这件事现在就在发生。 伊朗的扰动只是 AI 建设加速过程中的短期事件。 AI 已经到达拐点，而且似乎不可避免。 你已经看到美国就业修正接近减少 100 万，这非常惊人。 而且我们正在看到，新一代 LLM 正在由它们前一代模型自己构建，AI 正在逼近奇点（AI 递归增长）。 如果你要投资那些运行 AI 所需的算力和硬件： 数据中心 / 电力 / 电网板块： $NBIS、$XLU、$VRT、$BE 光子板块，负责扩展 AI： $LITE、$COHR、$AAOI、$TSEM 半导体板块，负责芯片： $NVDA、$TSM、$ASML、$INTC 存储板块，负责芯片： $MU、$SNDK、SK 海力士、三星 ASIC，负责超大规模云 AI 推理： $AVGO、$MRVL、Mediatek 良率 / 测试板块，确保芯片能工作： $TER、$AEHR、Advantest 以及 AI 所需的原材料或基板： $AXTI、$COPX、$SOI 还有很多其他公司，都在成为对抗大规模 AI 失业的单一、最大对冲工具。 谁掌握了算力的生产资料（瓶颈、材料、数据中心）： 谁就掌握了 AI 的未来。
英文原文
The news is pretty heartbreaking: $META 20% layoffs $ORCL layoffs $AMZN 600,000 workers long term layoffs as they get replaced by robotics and AI. This is a dystopian future. Companies end up with record profits, without the cost of human labor. The only way to benefit: Investing in AI as a hedge. The next few years feels like the main way to escape the permanent underclass, caused by AI displacement. The return on equity derived from AI will go to the shareholders. While the gap between those who live paycheck to paycheck, not invested in stocks. Will continue to grow. This is not the future. - Opus 4.6 is good enough to replace most software engineers today. - Waymo has started to replace taxi drivers in places like SF today. - We know $TSLA Humanoids are coming next as they’re widespread in China, today. This is happening now. Disruptions in Iran are only temporary to the accelerating AI buildout. AI has hit the inflection point, and looks inevitable. You’re already seeing US job revisions down close to 1 Million, which is staggering. And we’re seeing the newest LLMs be built by their previous models, as AI approaches the singularity (AI led recursive growth). Investing in where the compute and hardware needed to run the AI: From the datacenter/power/grid sector: $NBIS, $XLU, $VRT, $BE Photonics sector needed to scale AI: $LITE, $COHR, $AAOI, $TSEM Semi sector needed for the chips: $NVDA, $TSM, $ASML, $INTC Memory sector for the chips: $MU, $SNDK, SK Hynix, Samsung ASICs for hyperscaler AI inference: $AVGO, $MRVL, Mediatek Yields sector to make sure the chips work: $TER, $AEHR, Advantest Along with the raw materials or substrates needed for AI: $AXTI, $COPX, $SOI And many others become the single, largest, hedge against widespread AI displacement. Whoever owns the means of compute (bottlenecks, materials, datacenters): Owns the future of AI.
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用 AI 供应链映射的梗调侃 Meta 的业绩波动
你说得对，算法确实从 AI 供应链映射里学到了一些东西。 肥料暴涨 -> $META 牛油果 -> 抛售。
英文原文
@Shabach17 You’re right, algorithms have been taking some lessons from AI supply chain mapping. fertilizer spike -> $META avocados -> selloff.
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认为 Meta 的增长指引说明投入开始见效
他们给出的指引是同比增长约 33.5%（535 亿到 565 亿美元），而这还是一家市值 1.5 万亿美元以上的公司。 看起来扎克在 $META 上砸的钱，似乎确实开始起作用了。
英文原文
@mktoperative They guided ~33.5% y/y growth ($53.5B- $56.5B) as a $1.5T+ company. Think whatever Zuck is spending on with $META seems to be working.
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认为 Meta 这波回撤有点过头
你们觉得市场不知道 $META 的收入全来自卖广告吗？ 又不是种牛油果？ 过去一个月总共跌了 16.92%，其中这次又跌了 4%，我觉得有点过头了。
英文原文
Do you think markets know $META makes all their revenue from selling ads? Not farming avocados? -4% selloff for a total of -16.92% this past month is a bit too much. https://t.co/wMkcrMaIhX
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认为 Reddit 被明显低估
$RDDT 现在已经有点离谱了。 看起来完全被错定价了。过去几个月已经跌了 40%。 如果把结转亏损剔除掉，它的净利润率约等于收入的 28%，这已经相当夸张。 而且它未来收入还在以 50%+ 同比增长，前面一年更是 70%+ 同比增长。 如果你看过 $META，就知道用户变现空间能有多大。Reddit 的变现上限非常高。 它在 IPO 之后其实已经去风险了，因为 Reddit 现在是市场上增长最快、利润率最高的公司之一。 有一天如果它像 $CRCL 财报后那样突然暴涨，我们会回头发现，原来它当时只有 240 亿美元市值。
英文原文
$RDDT is getting ridiculous. Looks completely mispriced. Now down 40% over the past few months. If you strip out carry-forward losses, their net profit is ~28% of revenue, which is absolutely enormous. And they’re growing forward revenues 50%+ Y/Y after 70%+ Y/Y growth. If you ever look at $META, you know how much revenue can be optimized/user. There’s an incredibly high ceiling for monetization with Reddit. It’s already derisked since IPO since Reddit is now one of the fastest growing and highest margin companies in the market. One day if it pulls a $CRCL post earnings, we’ll look back and wonder how this was valued at $24 billion MC.
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认为 AAOI 已经进入多家大厂路线图
@Sher_Lockknows 没有。但 $AAOI 其实不太需要那种催化，因为他们大概率已经进入了 $AMZN、$MSFT、$ORCL / $META 的路线图。
英文原文
@Sher_Lockknows No. But $AAOI doesn’t need it since they’re likely in $AMZN, $MSFT, and $ORCL / $META roadmaps.
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从基本面角度看 HIMS，但空头挤压风险很高
我一直想从基本面角度聊 $HIMS。 但有一点必须强调： $HIMS 的方向性空头现在像被困住了。 股价已经涨了 64.15%，到 26.5 美元了（虽然仍比 70 多美元的高点低）。 与此同时，空头持仓却增加到了创纪录的 41.6%。 这可能会形成剧烈的反馈回路，因为空头会越来越浮亏。 不过，这一切都取决于股价能否继续被买盘和基本面改善推高；只有这样，他们才会被迫平仓。 否则如果价格横盘，他们可以在很长时间里继续维持空头头寸（借券成本也低），然后慢慢回补。 话虽如此，我个人还是在场，挺期待看看 $HIMS 能交出什么： 一方面是最近类似 $META 的全球并购扩张； 另一方面是类似 $HOOD 的交叉销售潜在收入机会。 随着 $HIMS 在 $NVO 意外合作之后基本面快速改善，我个人真的觉得它有机会创造历史。
英文原文
I try to talk about $HIMS from a fundamental standpoint. But this cannot be understated: $HIMS directional shorts look trapped. The stock price is now up 64.15% to $26.5 (still down from highs of $70s). While short interest increased to record highs of 41.6%. There may be a violent feedback loop as short positions go more underwater. However; this is contingent on the underlying stock going up from buying pressure and increasing fundamentals. In order for their positions get liquidated. Otherwise, if prices stagnates, they can leave their short sales in for extended periods of time (low borrow rate) and slowly buy to cover. That being said, I'm personally along for the ride and looking forward to seeing what $HIMS can deliver: Both from their recent $META-like global acquisitions spree + $HOOD-like cross selling latent revenue opportunities. With $HIMS rapidly improving fundamentals, from the surprise $NVO partnership: I personally see a real opportunity for $HIMS to make history.
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继续看多 HIMS 的商业化潜力与空头挤压
$HIMS 现在又涨回了 14.22%。 他们全球 DTC 零售分发护城河中尚未释放的潜在收入极其惊人。 这也让人联想到 $META 早期的并购，以及 $HOOD 的交叉销售能力。 $HIMS 仍然比 70 多美元的高点低不少，但它已经通过收购三家全球主要竞争对手，而且几乎没有监管阻力。 更妙的是：那些把 40%+ 流通盘方向性做空的空头，已经被 $NVO 的意外合作和诉讼终止彻底困住了。 我个人会在这里继续持有并做多 HIMS。 如果管理层真能把这张全球零售分发网络有效变现，用在医疗上，这个风险回报是值得的。
英文原文
$HIMS is now back up 14.22%. The untapped latent revenue from their their global DTC retail distribution moat is extreme. And draws parallels to the early acquisitions from $META. As well as the cross-selling capabilities of $HOOD. $HIMS is still down from it's $70+ highs, after acquiring three major global competitors without regulatory friction. And best of yet: Shorts that sold 40%+ of the company short directionally, are completely trapped from the surprising $NVO partnership + lawsuit termination. I would personally hold and go long here on HIMS. The risk/reward on management effectively monetizing that massive, global retail distribution network for healthcare seems worth it.
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AXTI与住友垄断InP衬底，成AI光子化关键瓶颈。
匿名者，你听了我关于 $AXTI 的论点吗？ 警告：整个 AI 行业可能会受到两家公司的瓶颈制约： 1. $AXTI（市值 7 亿美元） 2. $SMTOY（市值 317 亿美元） 这两家公司控制了全球 60–70% 以上的磷化铟(InP)衬底市场。 未来的 $NVDA、$GOOGL TPU v7 集群、$META、$MSFT、$AMZN 超大规模计算集群都需要基于磷化铟(InP)的激光器和接收器。 $AVGO、$LITE、$COHR 使用磷化铟(InP)用于 800G/1.6T 光收发器中的电吸收调制激光器(EML)、分布反馈激光器(DFB)及其他光基础设施。 如果没有磷化铟(InP)衬底，供应链就会停滞。 在查看了从 TPU 到 Maia 的物料清单(BOM)后，看起来未来的专用集成电路(ASIC)、GPU 和超大规模部署严重依赖光子学。 而这两家供应商可能会冻结全球磷化铟(InP)衬底市场，涵盖几乎所有领域： - 超大规模计算光学（TPU 集群等） - 光收发器（5G、数据） - 激光雷达(LiDAR)（Robotaxi、无人机、军事） - 光模块（互连集群） - 硅光子学激光芯片（Nvidia 未来的共封装光学(CPO)以及 Intel/Broadcom 硅光子学引擎使用磷化铟(InP)连续波激光阵列。） 由于这些公司占据了市场供应的大多数： - AXTI（估计 ~30–35%） - 住友（估计 ~30%） - JX 日本（估计 10-15%） 仅此而已。（例如，Yole 2021 年的行业报告指出“住友电工 + AXT 共同拥有‘超过 75%’的磷化铟(InP)衬底市场”） 超大规模计算/AI 正在向光子学转变，但整个 AI 行业是脆弱的。 如果 $AXTI 或 $SMTOY 中的任何一家停止供应材料，整个未来的 AI 建设就会瘫痪。更疯狂的是，一家 7 亿美元的公司可能成为这一切的中心。 随着 AI 行业向光子学转变，磷化铟(InP)衬底可能会与高带宽内存(HBM)一起成为最大的瓶颈之一。
英文原文
Hope you listened to my $AXTI thesis anon? https://t.co/d5eg0BIhlG
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类比META和HOOD，看好HIMS全球DTC网络变现潜力。
难道没人看到 $HIMS、$META 和 $HOOD 之间的相似之处吗？ $HIMS 真的刚刚收购了全球最大的几家竞争对手： - Zava（欧洲/英国） - Livewell（加拿大） - Eucalyptus（澳大利亚/日本） 而且没有被反垄断阻止？ $META 十年前收购 WhatsApp 和 Instagram 这类公司时，也是几乎没有遇到阻力。 如今，由于 $META 最终成为万亿美元级垄断企业后留下的监管 PTSD，社交媒体公司已经不能再四处大举收购。 而 $HIMS 在这一轮并购之后，已经成为全球最大的独立零售 DTC（直接面向消费者）分销网络。 现在它只需要弄清楚，如何像 $HOOD 面向金融产品那样做交叉销售？ $HOOD 此前也遇到过 SEC 和 Gary 试图阻止其所有加密产品的情况。但自从监管麻烦清除后，他们通过向零售用户交叉销售金融科技产品，成功扩张成了一家700亿美元公司。 我看到了 $NVO / 监管机构试图阻止 $HIMS 产品供应之间的强烈相似之处。 不过，在 $NVO 与 $HIMS 达成合作、FDA 也撤回威胁后，这种监管不确定性已经消除。潜力是存在的？ 我不可能是唯一一个看到 $HIMS 全球 DTC 零售分销网络及其潜在收入变现机会的人吧？
英文原文
Does nobody else see the parallels to $HIMS and $META and $HOOD? $HIMS literally just bought out the largest players around the world: - Zava (Europe/UK) - Livewell (Canada) - Eucalyptus (Australia/Japan) Without antitrust blocking it? $META did that a decade ago with companies like WhatsApp and Instagram with minimal friction. Now no social media company anymore can go on buying sprees due to regulator PTSD after $META ended up a trillion dollar monopoly. $HIMS now is the largest independent global retail DTC distribution network in the world, after their M&A spree. And just needs to figure out how to cross-sell products like what $HOOD did for financial products? $HOOD previously had the SEC + Gary trying to block all their crypto offerings. But ever since they got regulatory headaches cleared up, they managed to scale to become a $70B company off cross-selling fintech products to their retail audience. I'm seeing strong parallels to $NVO / Regulators trying to block $HIMS product offerings. However, that regulatory uncertainty is now cleared up after $NVO partnered with $HIMS and FDA dropped their threats. The potential is there? I can't be the only one who sees potential from $HIMS global DTC retail distribution network and latent revenue monetization?
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分析$HIMS收购潜力及变现依赖管理层执行力
真是出色的分析！我没想到自己会站出来为 $HIMS 辩护，但他们确实成功收购了以下企业：Zava（欧洲/英国）、Livewell（加拿大）、Eucalyptus（澳大利亚/日本）。他们还建立了全球最大规模的医疗保健零售客户网络（retail capture），且未受到联邦贸易委员会(FTC)或监管机构的制裁。这种潜力让人想起 $META 收购 WhatsApp 及其他平台的时期，并结合了 $HOOD 交叉销售(cross-selling)新功能的策略。最终，如何从这个巨大的分销网络中变现，完全取决于管理层的执行力。
英文原文
정말 훌륭한 분석입니다! 제가 나서서 $HIMS 를 옹호하게 될 줄은 개인적으로 꿈에도 몰랐지만, 그들은 실제로 다음 기업들을 인수하는 데 성공했습니다: Zava (유럽/영국) Livewell (캐나다) Eucalyptus (호주/일본) 그리고 세계 최대 규모의 헬스케어 리테일 고객 네트워크(retail capture)를 구축해 냈습니다. 이 모든 것을 FTC나 규제 당국의 제재 없이 해냈죠. 이런 잠재력을 보면 과거 $META 가 WhatsApp과 기타 플랫폼들을 인수했던 때가 확실히 떠오릅니다. 여기에 $HOOD 가 새로운 기능들을 교차 판매(cross-selling)했던 전략이 결합된 모습입니다. 결국, 이 거대한 유통 네트워크를 어떻게 수익화할지 그 방법을 찾아내는 것은 전적으로 경영진의 실행력에 달려 있습니다.
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看好$HIMS全球并购后的规模及分销优势，类比$META和$HOOD。
不太是吧？Ro 只在美国。$HIMS 在完成对其他全球重量级玩家的一轮并购后，规模要大得多。 这个全球分销网络没有因为反垄断被阻止，这让我看好 $HIMS，因为我看到了十年前 $META 收购潮的相似之处，也看到了 $HOOD 通过交叉销售变现零售用户的能力。
英文原文
Not really? Ro is US only. $HIMS is much larger in scale after their M&A spree of all the other global heavyweights. That global distribution network without any of them getting blocked by antitrust makes me bullish on $HIMS because I see parallels to $META's acquisition spree a decade ago + $HOOD's capacity to monetize retail audience through cross-selling.
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类比Meta，看好HIMS全球并购后的变现潜力
完全同意，我看到 $HIMS 与 $META 十年前收购所有社交媒体公司的平行之处。 这在今天行不通，因为联邦贸易委员会(FTC)会阻止像 $RDDT 这样的公司收购其竞争对手如 $SNAP。 但 $HIMS 完成了一轮全球并购(M&A)热潮，通过收购欧洲的 Zava、加拿大的 Livewell 以及面向澳大利亚/日本的 Eucalyptus，建立了零售医疗分发的垄断护城河。 因此，既然 $HIMS 设法建立了全球零售医疗用户基础……随着监管问题得到解决，存在巨大的潜在收入变现潜力。
英文原文
Absolutely, I see the $HIMS parallel to $META acquiring all the social media companies a decade ago. This wouldn't work today since FTC would block companies like $RDDT acquiring all their competitors like $SNAP. But $HIMS pulled off a global M&A spree, building a monopoly moat over retail healthcare distribution from Zava in Europe, Livewell in Canada, and Eucalyptus for Australia/Japan. So, now that $HIMS somehow managed to build capture the global retail base for healthcare... With regulatory issues cleared up, there's a lot of latent revenue monetization potential.
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分析$HIMS全球用户变现潜力，类比$HOOD/$META，建议做多。
感觉大家没有正确阐述 $HIMS 的多头逻辑： 这是我的观点。 $HIMS 的主要护城河是零售受众的网络捕获。 而多头逻辑在于潜在收入的货币化。 $HOOD 在 2025 年的金融科技领域实现了同样的效果。 $META（完全成熟后）在过去十年的社交媒体领域也实现了同样的效果。 $HIMS 现在正处于 2026 年的起点。 但鉴于 Zava + Eucalyptus 带来了全球（欧洲、澳大利亚、日本、加拿大）数百万新用户： $HIMS 现在在医疗领域拥有了独一无二的零售受众捕获能力。 然而，与市值约 700 亿美元的 Robinhood 和 1.6 万亿美元的 $META 巨头不同的是： 它们已经通过利润率优化和新收入流成功货币化了其零售受众。 而且非常激进。$HIMS 尚未做到。 Robinhood 通过推出银行/信用卡/预测市场等新产品做到了这一点。 现在这些新产品各自独立产生超过 1 亿美元的新收入流。 $META 通过收购 WhatsApp/Instagram 后最大化捕获每用户收入做到了这一点。 然而，$HIMS 尚未像在美国那样（例如睾酮疗法）获得同样的机会。部分原因是之前的诉讼。 现在这些障碍已清除，多头逻辑再次显现： 与其建模 Zava/Eucalyptus 传统带来的收入，重要的是关注通过人数实现的零售网络捕获。 因为这是最大的潜在收入来源 + 未被定价的收入预测超预期。 现在，十亿美元的问题是： $HIMS 最终会像 $HOOD 吗？ $HIMS 现在拥有医疗领域最大的零售网络 + 分销渠道之一。 然而，与金融科技或社交媒体渠道相比，医疗领域的交叉销售似乎更难。 它最终是成为 3000 亿美元公司还是 500 亿美元公司，取决于管理层能否解决这一问题。 因此，对于旁观者来说，如果 $HIMS 能够设法从新的全球用户群中实现潜在收入扩张，再次做多可能值得。~40%+ 的做空比例和新的 $NVO 合作也是巨大的加分项。
英文原文
Feels like people aren't articulating the bull case for $HIMS correctly: Here's my view. The main moat of $HIMS is network capture of retail audiences. And the bull case is latent revenue monetization. $HOOD achieved that same effect in fintech over 2025. $META (fully grown) achieved that same effect in the social media sector over the past decade. $HIMS is now at the starting point in 2026. But given millions of new users across the globe (Europe, Australia, Japan, Canada) from Zava + Eucalyptus: $HIMS now has that one-of-a-kind retail audience capture in the healthcare sector. However, the difference between ~$70B companies in Robinhood and $1.6T giants in $META is that: They've already successfully monetized their retail audiences both through margin optimization, and new revenue streams. And very aggressively. $HIMS has not yet. Robinhood did so by pushing new products from banking/credit cards/prediction markets/etc. And they are all now independently generating $100m+ each as new revenue streams. $META did so by capturing the maximum amount of revenue per user after acquiring WhatsApp/Instagram. However, $HIMS has not gotten the chance to yet in the same way they did with the US (eg. Testosterone). Especially partially due to former lawsuits. Now that's cleared up, the bull case can be seen again: Instead of modeling what revenue Zava/Eucalyptus traditionally brought, the important thing to look at is retail network capture through # of people. As this is biggest source of latent revenue + revenue projection beats not priced in. Now, the billion dollar question is: Will $HIMS end up like $HOOD? $HIMS now has the one of the largest retail networks + distribution for healthcare. However, cross-selling seems much harder in healthcare vs. fintech or social media channels. The answer whether it ends up a $30B company or a $5B one is up for management to figure out. So for people on the sideline, it might be worth flipping long again in the off-chance $HIMS manages to figure out latent revenue expansion from their new global userbase. The ~40%+ short interest and the new $NVO partnership serves as a huge bonus as well.
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伊朗冲突利好Reddit，市场定价错误
仅持股。我查看了 Elon 关于 X 平台连续创纪录参与度的帖子： -> 委内瑞拉：创纪录参与度 -> 伊朗：参与度再创新高。 同时我也关注了关于 $PINS / $META 看空论点的评论，即广告商因时间线问题而减少支出。 但 $RDDT 或许是极少数能因战争期间用户参与度/流量激增而获得隔离效应+受益的社交媒体公司之一。 因此我认为伊朗冲突对 Reddit 整体利好，而市场定价错误。
英文原文
Shares only. I was looking Elon's posts about X having record engagement back to back: -> Venezuela: Record engagement -> Iran: Even higher record engagement. And was looking at other comments around $PINS / $META bear case indicators of advertisers pulling spend due to timelines. But $RDDT is perhaps the one of the only few social media companies that has isolation + benefits from a massive spike of user engagement/traffic during war. Hence why I think the conflict in Iran is net bullish for Reddit and markets are pricing it wrong.
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战时流量激增且广告隔离，$RDDT 下季业绩有望大幅超预期。
Reddit ($RDDT) 实际上看起来： 在战时异常看涨。 我的论点是，他们很可能会大幅超出下一个季度的盈利预期。 以下是市场忽略的内容： 1. 战时极端的用户参与度。 重大实时事件期间的两大西方平台：X 和 $RDDT。 像 $PINS 这样的公司可能不会从战争带来的参与度增加中受益，$META 可能仅受益于一小部分增长。 但所有人都涌向 Reddit 和 X。 -> 在全球危机期间，数百万焦急、高意图的搜索查询将人们从 Google 引向 Reddit。 -> 以及对正在发生的事件的直接讨论流量，导致更长的参与度 + 广告展示 + 总体流量。 Elon Musk / X 确认在伊朗冲突初期 X 平台的使用量创纪录。 并确认在委内瑞拉冲突期间参与度创纪录。 Reddit 的情况可能也是如此。 许多数据本月未公开（例如 Similarweb 估算），但我有高度信心，Reddit 在此期间也实现了创纪录的参与度。 委内瑞拉冲突可能导致了短期的活动爆发，但伊朗冲突持续时间较长，是十年来最大的冲突之一。 2. 广告主的避险情绪 通常的观点是 $META 和 X 拥有峰值参与度，但广告主在战时会撤下广告。 特别是因为 $META 和 X 可能在同一个信息流中展示伊朗冲突 + 金融等不同事件的巨大时间线： 然而： $RDDT 是最独特的社交媒体平台之一，因为其 subreddit 是隔离的。 /r/leagueoflegends 或 /r/wallstreetbets 的内容与 /r/iran 和 /r/worldnews 是隔离的。 3. Reddit 保守估计盈利 2026 年 Q1 营收指引 5.95-6.05 亿美元于 2 月初发布，此时尚未受到 2 月下旬伊朗冲突引发的巨大流量异常和可能的广告预算重新分配的影响。 我预期在发布财报时，营收将大幅超出预期。 _ Reddit ($RDDT) 是一个非对称的多头头寸，实际上在战时极度看涨，这与社交媒体总体看跌的普遍假设相反。 目前尚无公开的盈利历史来证明这一点（因为 Reddit 在乌克兰冲突期间尚未上市）。 但我的 alpha/论点是前所未有的： 我们将看到 Reddit 成为战时少数看涨的社交媒体平台之一。 我们将通过其财报来验证这一点是否属实。
英文原文
Reddit ( $RDDT ) in fact looks: Exceptionally Bullish during War. My thesis is that they will likely blow away next quarter earnings expectations. Here's what the market missed: 1. Extreme User Engagement during Wartime. The major two Western outlets during live events: X and $RDDT. Companies like $PINS likely do not benefit from increased engagement from War and $META may benefit from a tiny uptick. But everyone flocks to Reddit and X. -> During a global crisis, millions of frantic, high-intent search queries lead people to Reddit from Google. -> As well as direct traffic from discussion on what's going on, leading to longer-engagement + ad views + traffic in general. Elon Musk / X confirmed record usage of the X platform during the initial conflict with Iran. And confirmed record engagement during the conlifct with Venezuela. This is likely the same with Reddit. A lot of this data is not public this month (eg. Similarweb estimates), but it's high confidence, both Reddit also achieved record engagement during this time. The Venezuela conflict may have led to a short burst in activity, but the Iran conflict is extended and one of the largest ones of the decade. 2. Flight to Safety from Advertisers The typical view is $META and X have peak engagement, but advertisers pull ads during war. Especially as $META and X might show massive timelines of different events from Iran conflict + Finance in one feed: However: $RDDT is one of the most unique social media platforms as they're isolated with subreddits. Things from /r/leagueoflegends or /r/wallstreetbets are isolated from /r/iran and /r/worldnews. 3. Reddit Sandbagging earnings Q1 2026 revenue guidance of $595–$605 million was issued in early February, before the massive traffic anomaly and likely advertiser budget reallocation triggered by the late-February Iran conflict. My expectation is a larger then normal revenue beat when it comes time to announce earnings. _ Reddit ( $RDDT ) is an asymmetric long that's actually extremely bullish during wartime, against common assumption that social media is net bearish. There's been no public earnings history to show this yet (since Reddit was not public during Ukraine conflict). But my alpha/thesis is for the first time ever: We'll see Reddit show up as one of the only bullish social media platforms during war. We'll find out of this is true or not during their earnings.
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$AAOI获超大规模客户大额订单，基本面验证优于内部人抛售担忧。
“$AAOI 收到来自主要超大规模客户的首笔 1.6T 数据中心光收发器(Transceivers) 2 亿美元批量订单” “我们预计很快将成为美国最大的 800G 和 1.6T 光收发器产能基地” 这逐渐证实了他们盈利预测中每月 3.78 亿美元的收入预期。 人们曾对内部人抛售感到恐慌，但关键在于执行力和基本面。 尤其是当他们获得来自 $AMZN、$META 或 $GOOGL 等超大规模客户(Hyperscalers)的批量订单时。
英文原文
$AAOI Receives First $200M Volume Order of 1.6T Data Center Transceivers from Major Hyperscale Customer” “We expect that we will soon have the largest production capacity for 800G and 1.6T transceivers in the U.S” This is gradual confirmation of $378m/month revenue from their earnings projections. People were panicking over insider sales, but what matters is execution and fundamentals. Especially when they’re getting volume orders from Hyperscalers like $AMZN, $META, or $GOOGL
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分析AAOI估值与基本面，建议结合营收和供应链地位而非仅看图表。
如果 $AAOI 股价上涨 100%，并声称明年每月营收将达 3.78 亿美元，这得益于 $META、$MSFT 和 $AMZN 购买其能生产的所有供应品。而它现在的估值为 70 亿美元。我不会只看图表，还会关注营收预测、毛利率、在供应链中的地位以及预测数据。
英文原文
If $AAOI ran up 100% and stated they're doing $378M/month revenue next year off likely $META, $MSFT, and $AMZN buying any supply they can make. And they're valued at $7B now. I wouldn't look at the chart alone, would look at revenue projections, gross margins, position in supply chains, and forecasts.
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NVDA锁定EML产能，光子学上游材料受制于中国，COWOS/HBM/光子学成瓶颈。
$NVDA 去年锁定了大部分光模块(EML)产能，导致其他超大规模云服务商面临巨大瓶颈。然而，光子学整体是一个材料问题，最上游的材料由中国控制。这并非英伟达能单方面决定的。不过，他们通常是最早布局的，这给 $META、$MSFT、$AMZN、$GOOGL 留下了更多问题，因此本文指出共封装光学(COWOS)、高带宽内存(HBM)和光子学可能是瓶颈。
英文原文
$NVDA secured most of the EML capacity last year and caused a huge bottleneck for other hyperscalers. However, photonics as a whole is a materials problem, the most upstream materials controlled by China. Not exactly something Nvidia can decide. However, they're usually the first to things and that leaves more problems to $META, $MSFT, $AMZN, $GOOGL afterward, hence the point of the post signaling cowos, hbm, and photonics are probably the bottlenecks.
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澄清Oracle数据中心项目正常，视AI板块错杀为买入机会。
针对彭博社报道的最新回应：“Oracle与OpenAI的数据中心项目现有计划仍在按部就班进行。” 昨日因虚假的出口管制新闻，从$NVDA到$LITE的半导体板块遭遇暴跌。现在，关于$ORCL的消息是否会导致又一个类似的交易日？
英文原文
In a new response to Bloomberg article: “Existing plans for Oracle's data center project with OpenAi remain on track” The first Bloomberg report caused a crash in Semis from $NVDA to $LITE yesterday from false export control news. And now we have potentially another one day regarding involving $ORCL?
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AI板块因OpenAI消息大跌，但META介入带来特定个股买入机会。
说实话，彭博社的标题竟然连续第二天导致半导体市场崩盘，这确实令人印象深刻。 $LITE 下跌 14.4% $NVDA 下跌 3.5% $TSM 下跌 4.4%。 消息是 Oracle 和 OpenAI 没有扩大其 Stargate 项目的一部分。 这看起来比昨天的报道更可信，因为 OpenAI 的“传染效应”正在蔓延。 但在文章最底部，他们补充道： $META 将介入并考虑从开发商 Crusoe 那里租赁位于德克萨斯州阿比林的规划扩建场地。 这看起来像是特定个股的买入机会，因为 AI 交易的范围现在已经远远超出了 OpenAI，并且现在由从 $GOOGL 到 $META 的盈利超大规模云服务商提供资金支持。
英文原文
It’s honestly impressive Bloomberg titles have managed to crash the Semi Market for a second day in a row. $LITE down 14.4% $NVDA down 3.5% $TSM down 4.4%. On the news that Oracle and OpenAI are not expanding a part of their Stargate project. This looks more legitimate than yesterday’s report as the OpenAI contagion is spreading. At the very bottom, they left added: $META, to step in and consider leasing the planned expansion site in Abilene, Texas, from developer Crusoe. This looks like a buying opportunity for specific names, as the AI trade has expanded far beyond OpenAI now and is now funded by profitable hyperscalers from $GOOGL to $META.
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分析$AAOI空头逻辑与执行风险，看好其超大规模云需求及潜在10倍回报。
我看到的关于 $AAOI 的空头基本观点是：2.5亿美元的定向增发(ATM)不足以覆盖产能爬坡，他们还需要5000万至2.78亿美元（考虑到规模，这只是小钱）。 主要论点始终围绕执行力和潜在逆风： - 他们能否将台湾组装业务回流美国 - 扩大激光产能，以便不再零星使用 $COHR - 制造扩张的执行情况 - 中国厂商是否会导致毛利率压缩 - 共封装光学(CPO)的到来（$GOOGL + $AVGO 已确认其退出） 我不认为这是客户集中度问题，因为从 $AMZN、$MSFT 到 $META 的每个超大规模云服务商都在抢购他们能生产的所有供应。 但我认为风险已经计入市值(MC)，超大规模云服务商的需求加上 $NVDA 资助生态系统可能是最大的顺风+信号。 如果他们能执行到位，这多少让我想起 $RKLB 的“中子星”火箭。如果完美执行，我看到10倍的空间。如果不能，那就是我为上行空间承担的风险。
英文原文
The base case I’ve seen from $AAOI short sellers was that the $250m ATM doesn’t cover the capacity ramp and they needed $50m-$278m more (which is pennies given scale) The main argument is always around execution and potential headwinds: - whether they can reshore Taiwan assembly to US - scale up laser capacity so they don’t need to use $COHR here and there - executing on manufacturing expansion. - whether there’s margin compression from Chinese players - cpo arrival ( $GOOGL + $AVGO confirmed its way out) I don’t see it being a customer concentration problem since every hyperscaler from $AMZN, $MSFT, $META are trying to buy up any supply they can make. But I see the risk being priced into MC already and hyperscaler demand + $NVDA funding the ecosystem is probably the biggest tailwind + signal. It sorta does gives me $RKLB neutron vibes if they can execute. And if they can flawlessly I see it being a 10x. And if they don’t, that’s the risk I’m taking for the upside.
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AAOI获三大云厂商包销产能，营收有望超越LITE，引发市场炒作。
如果 $AAOI 披露有三家超大规模云服务商客户（可能是 $META 或 $ORCL）加上 $AMZN 和 $MSFT 正在买断其所有产能。然后他们从 $COHR 激光器到设计再到组装实现端到端全流程。接着他们预测营收将超越另一家市值 550 亿美元的美国公司 $LITE。嗯，难怪会有这么多炒作。
英文原文
If $AAOI reveals there's three hyperscaler clients (maybe $META or $ORCL) + $AMZN + $MSFT) buying out any capacity they make. Then they do end-to-end from $COHR lasers to design to assembly... And then they're projecting revenue to leapfrog the other $55B US company in $LITE. Yeah, makes sense there's a lot of hype.
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CPO技术前景广阔，NVDA积极布局，AVGO虽失META但仍有其他大客户。
@JK30998937 不，共封装光学(CPO)无论如何都是大势所趋，只是目前情绪略微偏空。$NVDA 正在积极追求这一技术，即使 $GOOGL 没有。这相当于 $META 放弃其专用集成电路(ASIC)项目，且 $AVGO 可能失去一个客户。但博通(Broadcom)仍拥有谷歌和其他超大规模云服务商。
英文原文
@JK30998937 Nah, CPO is up and coming anyway it's just slightly bearish. $NVDA is actively pursuing it even if $GOOGL doesn't. It's the equivalent of $META dropping its ASIC program and $AVGO possibly losing a customer. But Broadcom still has Google and other hyperscalers.
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看好AXTI光子潜力及美股科技巨头，建议做多黄金。
$MU - 最终更看好 SK Hynix，但这是更安全的“美国制造”标的。 $AXTI 还有很长的路要走，需等待1年直到极端短缺出现。可能是光子学(Photonics)板块中回报潜力最大的最爱。 $EWY - Vega扩张的尾声，隐含波动率(IV)可能会将其推高一点。但如果你买入看涨期权(Call)，应是因为 KOSPI 上涨而非博弈 IV。 做多黄金是好的，因为外国正在大量买入并抛售美国国债。不喜欢在当前价位做空比特币(Bitcoin)。 $AMZN、$MSFT、$META 在当前估值下具有吸引力。
英文原文
$MU - ended up liking SK Hynix more but safer made in America play $AXTI long way to go, 1 year wait until extreme shortage hits. Prob my favorite in photonics sector for return potential $EWY - tail end of Vega expansion, IV will likely send it a tad higher. But if you’re buying calls do it because KOSPI goes up not for IV plays. Gold longs are good because foreign countries are buying it up and selling Us treasuries. Don’t like Bitcoin puts at these levels. $AMZN, $MSFT, $META are attractive at these valuations.
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超大规模云厂商负债投入AI基建，资金流向英伟达等上游供应商。
@LuffyDDK 他们真的在负债 lol 世界上最富有的公司正在为人工智能基础设施建设而负债。 尽管拥有数百亿美元的净利润，从 $AMZN 到 $GOOGL 的公司都大幅增加了资本支出(capex)： 以至于部分公司预计将在 2026 年出现净现金流出。 以下是结果及受益者： 亚马逊 ( $AMZN ) 2025: +460 亿美元 2026 (预估): +110 亿美元 Alphabet ( $GOOGL ) 2025: +803 亿美元 2026 (预估): +130 亿美元 Meta Platforms ( $META ) - 净债务(Net Debt) 2025: +229 亿美元 2026 (预估): -70 亿美元 (预计转为净债务) 微软 ( $MSFT ) 2025: +492 亿美元 2026 (预估): +590 亿美元 甲骨文 ( $ORCL ) 2025: -980 亿美元 (净债务) 2026 (预估): -1150 亿美元 微软似乎处于最安全的位置。虽然亚马逊和谷歌主要依靠运营收入为人工智能基础设施建设提供资金。 然而，巨大的现金流缓冲已消失。甲骨文和 Meta 似乎正在通过负债来推动建设，尽管 $META 实现了惊人的运营收入数字。 现在，资金流向哪里？ 运营收入预测： 1. $NVDA - 美国 1350 亿 -> 1865 亿 -> 2401 亿美元运营收入 2. 三星 - 韩国 ~302 亿 -> ~1700 亿 -> ~2267 亿美元 3. SK 海力士 - 韩国 ~327 亿 -> ~1240 亿 -> ~1610 亿美元 4. $TSM - 台湾 ~622 亿 -> ~863 亿 - ~1033 亿 – 1053 亿美元 5. $AVGO - 美国 ~415 亿 -> ~628 亿-651 亿 - ~847 亿-933 亿美元 当然，这些是基于分析师预测的粗略估计。 然而，从总体趋势来看，这看起来像是一种杠杆式赌注，即人工智能基础设施建设完成后将带来自由现金流(FCF)的分红回报。 但明显的赢家似乎是英伟达、三星、SK 海力士、博通和台积电。 随着超大规模云服务商(hyperscalers)中部分公司陷入债务，他们将资产负债表转移给这些供应商，期望从人工智能支出中获得长期投资回报率(ROI)。
英文原文
@LuffyDDK They literally are going into debt lol https://t.co/A4KDf93pYk
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看好$XLU虚值长期期权，因AI电力需求爆发叠加降息周期带来历史性机遇。
如果我要在1年内将10万美元变成100万美元。 我会选择：$XLU 虚值(OTM) 2年期长期期权(LEAPS) 2026年是现代市场历史上首次同时出现： - 利率下降 - AI推理(AI Inference) + 基础设施建设 通过映射分析，$XLU 有潜在约40%的涨幅（虚值期权可能带来1000%+的收益）。 这是我的宏观论点： 1. 降息 当美联储在不引发衰退的情况下降息时，公用事业公司的债务成本降低，机构投资者会将低收益的现金转向公用事业股息。 这会导致估值倍数立即扩张： 1995年：标普公用事业板块(S&P Utilities)在1995年回报+31.3%，1996年再+12.1%——累计回报约47% 2019年中周期降息：结果：$XLU 在该年产生+25.9%的总回报 标准的软着陆降息周期自然映射为25%至30%的基础回报。而我们要进入2026年的新降息周期。 2. 基础设施超级周期资本支出(CapEx) 基础设施资本支出为该板块带来复合盈利增长。继2000年代初之后，公用事业公司进入大规模资本支出周期以现代化老化的电网基础设施。 由于他们不断支出并扩大其受监管的费率基数(rate base)，$XLU 在2004年回报+23.5%，2005年+16.3%，2006年+20.8%，2007年+18.4%。 然而这一次： 2026年8000多亿美元的AI建设支出，使得2004年的电网现代化看起来像零钱一样微不足道。 因此，你有来自#1降息的估值倍数扩张（+15%至+20%），以及来自#2资本支出历史数据的每股收益(EPS)增长（+18%至+20%）。仅从历史教训来看。 但2026年是历史上AI使用带来的最独特时刻。 仅从我自己的模型预测来看，由于AI极端扩张，所有以前的估计可能都是错误的（例如美国能源部/劳伦斯伯克利国家实验室的预测）： 超大规模云服务商(Hyperscaler)资本支出流入（支出）（亚马逊、微软、Meta、谷歌、甲骨文）进入数据中心估算： 2024年：2200亿美元 2025年：3500亿美元 2026年：5500亿美元 2027年：8000亿美元 2028年：1.2万亿美元（4年增长：+445%） 美国数据中心电力使用量： 2024年：190太瓦时(TWh) 2025年：280太瓦时 2026年：430太瓦时 2027年：650太瓦时 2028年：980太瓦时（4年增长：+415%） AI消耗的总美国电力百分比： 2024年：美国电网的4.5% 2025年：6.6% 2026年：8.2-10.2% 2027年：13.4-15.4% 2028年：21.3-23.3% 劳伦斯伯克利国家实验室和美国能源部似乎低估了AI使用量（他们预测到2028年约为12%） 物理电网容量需求： 2024年：18吉瓦(GW) 2025年：35吉瓦 2026年：65吉瓦 2027年：105吉瓦 2028年：160吉瓦 基本上你可以看到2026年到2028年是拐点，而2024-2025年是爬坡期的缓慢年份。 然后是独立公司的“绝望溢价”。因为电网容量已售罄，科技巨头向公用事业公司支付巨额溢价以插队。例如PJM互联电网（弗吉尼亚“数据中心巷”），容量价格从2024年的每兆瓦日28.92美元飙升至2026/2027年令人难以置信的329.17美元。 $VST 或 Constellation 作为独立电力生产商在ETF中占很大权重。 纵观全局，你可以看到从2026年（现在）到2028年的极端扩张，以及用于建设基础设施的极端资本支出，与往年相比。 2026年是现代市场历史上第一次，所有因素同时为枯燥的电网/电力板块发力，其中AI是最大的顺风。 正如埃隆·马斯克所说：“数十亿美元最先进的硬件。闲置黑暗。不是因为芯片不工作。而是因为没有足够的电力来运行它们”。 再次强调，2026年由于AI和做市商(MMs)基于历史隐含波动率(IV)（极度平坦~14%-16%）定价虚值看涨期权，是一个绝对的历史异常值。 我们看到AI推理（超出之前的测量范围）以及训练（根据OpenAI今天的报告）的爆发。 所以，地球上最无聊的板块（电力/电网），可能会因为超大规模云服务商/政府对电网改进的支出 -> AI推理/训练的极端电力消耗 -> 降息等因素，成为重大反弹的起点。 这只是我的个人论点，期权伴随风险并放大下行风险。这些也是我自己的预测，不确定是否会高于或低于它们。 但基本上： 2026年是一个绝对的历史异常值。 美国的新瓶颈是电力。 有来自AI的极端需求，极端资本支出，降息： $XLU 看起来是暴露于此的最佳交易。 时间会证明这是否正确。
英文原文
If I had to turn $100k -> $1M in 1 year. It would be: $XLU OTM 2 year leaps 2026 is the first time in modern history markets have: - falling interest rates - AI inference + buildout There's a potential ~40% for XLU (1000%+ OTM), from mapping. Here's my macro thesis: 1. Rate Cuts When the Fed cuts rates without a recession, utility debt becomes cheaper, and institutional rotates low-yielding cash to for utility dividends. This causes immediate valuation multiple expansion: 1995: The S&P Utilities sector returned +31.3% in 1995 and another +12.1% in 1996 - ~47% cumulative return 2019 Mid-Cycle Cut: Result: XLU generated a +25.9% total return in that single year Standard soft-landing rate-cut cycle naturally maps to a 25% to 30% baseline return. And we're entering a new rate cut cycle in 2026. 2. The Infrastructure Supercycle Capex Infra CapEx gives the sector compounding earnings growth. Following the early 2000s, utilities entered a massive CapEx cycle to modernize aging grid infrastructure. Because they were constantly spending and expanding their guaranteed rate base, XLU returned +23.5% in 2004, +16.3% in 2005, +20.8% in 2006, and +18.4% in 2007. However this time: The $800B+ AI buildout of 2026 makes the 2004 grid modernization look like pennies. So you have Valuation Multiple Expansion (+15% to +20%), from rate cuts from #1. EPS growth (+18% to +20%) from #2 from capex spend historically. Just from a history lesson. But 2026 is the most unique moment in history from AI usage. Just from my own model projections as all former estimates are likely wrong from extreme AI ramp (eg. DOE/LBNL projections): Hyperscaler CapEx Inflows (Spend) - (Amazon, Microsoft, Meta, Google, Oracle) into DCs est: 2024: $220 Billion 2025: $350 Billion 2026: $550 Billion 2027: $800 Billion 2028: $1.2 Trillion (Growth: +445% over 4 years) U.S. Data Center Power Usage: 2024: 190 TWh 2025: 280 TWh 2026: 430 TWh 2027: 650 TWh 2028: 980 TWh (Growth: +415% over 4 years) % of Total U.S. Electricity Consumed by AI: 2024: 4.5% of the U.S. grid 2025: 6.6% 2026: 8.2-10.2% 2027: 13.4-15.4% 2028: 21.3-23.3% Lawrence Berkeley National Laboratory and the Department of Energy seem off by AI usage (they're projecting ~12% by 2028) Physical Grid Capacity Demand: 2024: 18 GW 2025: 35 GW 2026: 65 GW 2027: 105 GW 2028: 160 GW Basically you can just see 2026 into 2028 being the inflection point whereas 2024-2025 where slower years on the ramp up. Then there's the "Desperation Premium" for independent companies. Because grid capacity is sold out, tech giants are paying massive premiums to utilities to cut the line. eg. PJM Interconnection (Virginia "Data Center Alley"), capacity prices spiked from $28.92 per MW-day in 2024 to an unfathomable $329.17 per MW-day for 2026/2027. $VST or Constellation are a large weighting in the ETF as independent power producers. Across the board, you can see the extreme ramp from 2026 (now) into 2028 compared to previous years, alongside extreme capex going into building the infrastructure. 2026 is the first time in modern market history that every single thing is firing at the same time for the boring grid/power sector with AI as the biggest tailwind. And as Elon quotes it: "Billions of dollars of the most advanced hardware. Sitting dark. Not because the chips won't work. Because there's not enough electricity to run on them". Again 2026 is an absolute historical anomaly due to AI and MMs have priced in historical IV (extremely flat ~14%-16%) for OTM calls. We're seeing an explosion in AI inference (beyond previous measurements) as well as training (per OpenAI report today). So the most boring sector on earth (power/grid), might just be the start of a major rally due to hyperscaler/gov spend into grid improvements -> extreme power consumption from AI inference/training -> rate cuts and others. This is just my personal thesis, options come with risk and magnifies downside too. These are also my own projections, no certainty if they will exceed or be lower than them. But basically: 2026 is an absolute historical anomaly. New bottleneck in the US is power. There's extreme demand from AI, extreme capex, rate cuts: $XLU looks like the best trade for exposure. Time will tell if this is right or not.
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博主复盘YTD 316%收益，分享交易策略、核心持仓优势及免费分享初衷。
年初至今：316.4% 从2026年1月到2026年2月。 对我短期交易和多头持仓的回顾： > 年初对像 $GLXY、$SMCI 和 $IREN 这样进行税务收割(tax harvested)的股票进行波段交易(swing traded) > 搭乘委内瑞拉股票从 Gold Reserve、$AVAV 到 $CVX（看涨期权）上涨的顺风车 > 在战争入侵后买入像 $LPTH、$OSS、$AIRO 这样的国防股，以及受“跟随领导者”催化剂驱动的 $ONDS > 对 $INTC 进行催化剂交易，并正确把握了财报时机。 > 因对线色变化(wire color change)的担忧而对 $CRDO 进行波段交易 > 在超大规模客户损失(hyperscaler client losses)被错误报道后对 $MRVL 进行波段交易 > 像 $META 一样正确预判了财报 > 在 $NBIS 和 $CIFR 大幅抛售至 $70 和 $11 时，通过保证金(margin)加仓 > 从 $HOOD 下跌到 $CRDO 下跌再到复苏的过程中进行波段交易。 > 在比特币跌至 $73k 时买入，并在 $62k 时大量使用保证金博取复苏 > 像 $ETOR 这样的复苏股在抛售和财报后表现良好。 > 正确把握了像 $RPI 这样的公司的催化剂 > 利用亚洲股票与欧洲/美国时区之间的时间滞后套利(time lag arbitrages) > 利用 $EWY 和其他指数的隐含波动率扩张(IV expansion) > 把握轮动进入电力/电网股如 $XLU 的时机，目前正对像 $RDDT 这样的股票进行波段交易， 我肯定漏掉了一些，但这些是我主要发布的内容！ 此外，我会进行日内交易(day trade)： 例如 $ORCL 因发行导致8%抛售后的复苏，或 $SOFI 因无关紧要的卖方降级导致随机10%抛售。 我不在主时间线发布这些内容，因为我不想影响人们的买卖决策。 只想提供方向性思路，让人们得出自己的结论。 除此之外，我很高兴今天一切都上涨了，包括我的对冲(hedges)头寸。 与此同时，我的核心多头组合来自： - 从 SK Hynix 到 $AXTI 的光子学(Photonics)和存储，以及像 $AEHR 和 $FORM 这样的供应链瓶颈，其表现远超 Burry 的 $PLTR 每年 $415 的回报。 - 来自韩国/日本股票如 Nittobo、Kioxia 和 Unimicron 的多头持仓，有力支撑了美股回撤。 并非我组合中的所有股票都是绿色的，如 $CRCL、$CPSH、$VLN、$NBIS 或最近的 $INFQ。 但重要的是绿色持仓的集中度高于红色。与此同时，SPY 年初至今仅为 .55%，大多数高贝塔(high beta)股票年初至今大幅下跌。 我也不希望大家跟随我所有的操作，因为板块轮动、期权套利和基板瓶颈(substrate bottlenecks)很难消化。由于我也根据宏观/财报催化剂在约30只股票之间轮动，而大多数人只关注几只并持有数年。 但是，当2025年第四季度的短期回撤（如果人们买了短期期权）出错时，确实让人难受，直到现在才恢复超过平均成本。 然而，我对核心多头如 $NBIS 最终将大幅跑赢市场非常有信心。 希望大家能从中获得一两个有趣的交易思路或学到一些东西！ —— 只是有些反思，我认为我最近受欢迎的一个原因是我没有试图推销任何东西。这也不是我的全职工作（我经营一家科技公司），我只是出于乐趣做这件事，所以对最近的受欢迎程度感到非常惊讶。 我认为我的优势可能是信息综合与映射 -> 发现市场遗漏的阿尔法(alpha) -> 转化为金融科技和半导体领域的可执行多头思路。 与发布突发新闻或擅长拆解一两只特定股票的账户相比。 无论如何，我免费发布所有想法只是为了在能帮助他人时获得满足感。 所以，人们觉得我的想法有趣或信号足够强而愿意倾听，这让我心存感激。
英文原文
Year to Date: 316.4% From January 2026 into February 2026. Reflection of my short term trades and longs: > Swing traded tax harvested stocks like $GLXY, $SMCI, and $IREN start of the year > Rode Venezuela stocks from Gold Reserve, $AVAV, to $CVX (calls) up > Bought into defense like $LPTH, $OSS, $AIRO after invasion from war + $ONDS “follow the leader” catalyst > Catalyst traded $INTC and timed earnings correctly. > Swing traded $CRDO off wire color change fears > Swing traded $MRVL after erroneous reporting on hyperscaler client losses > Got earnings right like $META > Portfolio margined into $NBIS and $CIFR on the major selloff to $70 and $11. > Swing trades things from $HOOD drop to $CRDO drop into recovery. > Bought Bitcoin dip to $73k and heavy margin on $62k into recovery > Recovery plays like $ETOR after selloff and ER helped. > Getting catalysts on companies like $RPI correct > Time lag arbitrages between Asian equities and European/US time zones. > IV expansion off $EWY and other indexes. > Timing rotation into power/grids like $XLU and currently swing trading stuff like $RDDT, I’m sure I missed a bunch but these were the main ones I posted about! On the side I would day trade: Eg. $ORCL 8% selloff from offering into recovery or random 10% selloffs on immaterial $SOFI sellside downgrades. I don’t post stuff like these on my main timeline since I don’t want to influence when people buy/sell. Just want to give directional ideas and let people come to their own conclusions. Aside from that I’m happy everything went up today, including my hedges. This is all while my core long portfolio from: - Photonics and memory from SK Hynix to $AXTI to supply chain bottlenecks like $AEHR and $FORM have been mogging Burry’s $PLTR $415/year returns. - Longs from Korean/Japanese equities like Nittobo, Kioxia, and Unimicron have hard carried US equity drawdowns. Not everything in my portfolio is green like $CRCL, $CPSH, $VLN, $NBIS or recently $INFQ. But what matters is you have more concentration in green than red. This is all while SPY is YTD: .55% and most high beta stocks are heavily red YTD. I also don’t want people to follow along everything since sector rotation, option arbitrage, and substrate bottlenecks are hard to digest. Since I also rotate around like 30 different stocks based on macro/earning catalysts, whereas most people focus on a few and hold on for years. But it does hurt when more if get something wrong with short term drawdowns from Q4 2025 (if people bought short term options) and it’s only now recovered past cost average. However, I’m extremely confident in core longs like $NBIS to strongly outperform in due time. Hopefully people can take away one or two trade ideas that they find interesting or learn something! —— Just some reflection, i think a reason for my recent popularity is I’m not trying to sell anything. This is also not my full time job (I run a tech company) and I was just doing this for enjoyment, so very surprised by the recent popularity. I do think my edge is probably information synthesis and mapping -> discovering alpha markets missed -> into actionable long ideas across fintech and semis. Compared to accounts that publish breaking news or excel in breakdowns of one or two specific stocks. Regardless, I publish all my ideas for free just to get fulfillment if I can help others. So it does bring me gratitude that people find my ideas interesting or high-signal enough to listen.
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AXTI与住友垄断InP衬底，成AI光子化关键瓶颈。
你听劝了吗，匿名者？- $AXTI https://t.co/Pcuu4M3muO （该推文引用了 @aleabitoreddit 的推文，引用内容仅供理解语境）： 警告：整个AI行业可能会受制于两家公司的瓶颈： 1. $AXTI（市值7亿美元） 2. $SMTOY（市值317亿美元） 这两家公司控制了全球60-70%以上的磷化铟(InP)衬底市场。 未来的$NVDA、$GOOGL TPU v7集群、$META、$MSFT、$AMZN超大规模数据中心集群都需要基于磷化铟(InP)的激光器和接收器。 $AVGO、$LITE、$COHR使用磷化铟(InP)制造用于800G/1.6T光收发器的电吸收调制激光器(EML)、分布反馈(DFB)激光器和其他光基础设施。 如果没有磷化铟(InP)衬底，供应链就会瘫痪。 在查看了从TPU到Maia的物料清单(BOM)后，看起来未来的专用集成电路(ASIC)+GPU+超大规模部署严重依赖光子学。 而这两家供应商可能会冻结全球磷化铟(InP)衬底市场，涵盖几乎所有领域： - 超大规模光模块（TPU集群等） - 光收发器（5g，数据） - 激光雷达(LiDAR)（自动驾驶出租车，无人机，军事） - 光模块（互连集群） - 硅光子学激光芯片（Nvidia未来的共封装光学(CPO)和Intel/Broadcom硅光子学(SiPh)引擎使用磷化铟(InP)连续波激光阵列。） 由于这些公司占据了市场供应的大多数： -AXTI（估计~30-35%） -住友电工(Sumitomo)（估计~30%） - JX日矿（估计10-15%） 就这些。（例如，Yole 2021年的行业报告指出“住友电工+AXT共同拥有‘超过75%’的磷化铟(InP)衬底市场”） 超大规模/AI正在向光子学发展，但整个AI行业是脆弱的。 如果$AXTI或$SMTOY中的任何一家停止供应材料，整个未来的AI建设就会瘫痪。更疯狂的是，一家7亿美元的公司可能成为这一切的中心。 随着AI行业向光子学转变，磷化铟(InP)衬底可能会与高带宽内存(HMB)一起成为最大的瓶颈之一。
英文原文
Did you listen anon? - $AXTI https://t.co/Pcuu4M3muO
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建议做多$XLU LEAPS，看好AI电力需求激增及降息利好。
交易思路：做多虚值(OTM) $XLU LEAPS（2年期，2027年12月/2028年1月到期）。 受AI驱动，这感觉像是一次千载难逢的做多机会。 $XLU 集中持有 $VST / $CEG 等电力公司。 两个原因： 1. AI数据中心(DC)电力使用带来的范式转变。 2. 基于历史平均水平（自2000年代以来持平）的低隐含波动率(IV)（约14%）。 AI的电力消耗是天文数字。 这一点怎么强调都不为过。 历史上从未有过数据中心消耗如此多吉瓦(GW)电力的情况，尤其是当它们需要核反应堆的输出来训练大语言模型(LLMs)时。 这迫使 $META、$AMZN、$GOOGL 等公司签署多年协议以尽可能多地消耗电力。然而，电力仍然供不应求。 -> 因此，数万亿美元可能会涌入电网升级。 通常利率会损害该板块，但我们将进入更多降息周期，这使得该板块成为更好的做多标的。 OpenAI致国会的信恳请美国投资能源以与中国竞争。 因此，由于以下原因，这感觉像是一次十年一遇的做多机会： - AI消耗所有可用电力带来的范式转变 - 为与中国竞争而进行的数万亿美元电网升级 - 降息 以及基于历史平均水平的低隐含波动率定价。
英文原文
Trade Idea: Long OTM $XLU leaps (2 years, Dec 2027/Jan 2028). This feels like once-a-generation long due to AI. XLU has concentration in $VST / $CEG power companies. Two reasons: 1. Paradigm shift due to AI DC electricity usage. 2. Low option IV (~14%) based on historical averages (flat since 2000s). AI power usage is astronomical. This cannot be understated. Never before in history have DCs use up this much GWs in power, especially when they require outputs of nuclear reactors for training LLMs. This forces $META, $AMZN, $GOOGL, and others to sign multi-year agreements to consume as much power as possible. And yet they still don't have enough. -> So, trillions would likely be poured into grid upgrades. Usually interest rates hurt the sector but we're going into more rate cuts, so it makes the sector a much better long. OpenAI's letter to congress pleaded the US to invest in energy as well to compete vs. China. So, this feels like a once-a-decade type long due to: - paradigm shift eating up any available power from AI - trillions in grid upgrades to compete vs. China - rate cuts. And low IV pricing from historical averages.
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树莓派因AI智能体部署需求激增，类比英伟达转型逻辑，市值潜力巨大。
树莓派（$RPI）又上涨了29%。 如果你在思考估值问题： $NVDA 从面向游戏玩家的GPU转型为面向AI推理/训练的GPU，市值从10亿美元重估至4.4万亿美元。 $RPI 从面向教育的廉价硬件，转型为AI智能体（与Apple Mac Mini一起）的标准配置。 我并非说它会像英伟达一样，但确实存在平行之处。 现在大家都在大量购买树莓派用于AI智能体相关部署，例如OpenClaw或Picoclaw。未来可能会有许多变种出现，比如$META Manus。 总可寻址市场（TAM）从人们购买1-2台的教育市场，转变为“尽可能多买”以本地部署AI智能体的市场。 目前市值为10.2亿美元。前途无量。
英文原文
Raspberry Pi ( $RPI ) is now up another 29%. If you're wondering about valuation: $NVDA went from GPUs for gamers into GPUs for AI inference/training. And re-rated to a $4.4T MC from $1B. $RPI went from cheap hardware for education, into the standard for AI agents (alongside Apple Mac Mini). Not saying it's going to be the same as Nvidia, but there's certainly parallels. Now everyone is mass-buying Raspberry Pis for AI agent related deployments, such as OpenClaw or Picoclaw. In the future, there will likely be many variants to come, such as $META Manus. The TAM went from education where people bought 1 or 2 to "buy-as-much-as-you-can" for deploying AI agents locally. The marketcap is $1.02B now. Sky is the limit.
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AI智能体爆发将推动树莓派TAM从教育向AI领域激增。
@dirtyculture OpenAI 刚刚收购了 OpenClaw……我不太认为会是这样。 从 $META 的 Manus 到 OpenAI 的 OpenClaw、Picoclaw 等，将出现大量其他智能体(agentic)变体。 树莓派(Raspberry Pi)的潜在市场规模(TAM)正因从教育领域扩展到 AI 智能体而飙升。
英文原文
@dirtyculture OpenAI just bought OpenClaw... Don't quite think it will. There's going to be a ton of other agentic variants from $META Manus to OpenAI OpenClaw, Picoclaw, and others. TAM of Raspberry Pi just shot through the roof from education to AI agents.
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科技巨头负债投入AI基建，资金流向英伟达等上游供应商。
世界上最富有的公司正在为AI基础设施建设而负债。 尽管拥有数千亿美元的净利润，从 $AMZN 到 $GOOGL 的公司都大幅增加了资本支出(capex)： 以至于部分公司预计将在2026年出现净现金为负的情况。 以下是结果及受益者： 亚马逊 ( $AMZN ) 2025年：+$460亿 2026年（预估）：+$110亿 Alphabet ( $GOOGL ) 2025年：+$803亿 2026年（预估）：+$130亿 Meta Platforms ( $META ) - 净债务(Net Debt) 2025年：+$229亿 2026年（预估）：-$70亿（预计转为净债务状态） 微软 ( $MSFT ) 2025年：+$492亿 2026年（预估）：+$590亿 甲骨文 ( $ORCL ) 2025年：-$980亿（净债务） 2026年（预估）：-$1150亿 微软似乎处于最安全的位置。虽然亚马逊和谷歌主要依靠运营收入来资助AI基础设施建设。 然而，那巨大的现金流缓冲已经消失。甲骨文和Meta似乎正在通过负债来推动建设，尽管 $META 实现了惊人的运营收入数字。 现在，资金流向了哪里？ 运营收入预测： 1. $NVDA - 美国 $1350亿 -> $1865亿 -> $2401亿 运营收入 2. 三星 - 韩国 ~$302亿 -> ~$1700亿 -> ~$2267亿 3. SK海力士 - 韩国 ~$327亿 -> ~$1240亿 -> ~$1610亿 4. $TSM - 台湾 ~$622亿 -> ~$863亿 - ~$1033亿 – $1053亿 5. $AVGO - 美国 ~$415亿 -> ~$628亿-$651亿 - ~$847亿-$933亿 当然，这些是基于分析师预测的粗略估计。 然而，从总体趋势来看，这看起来像是一种杠杆式赌注，即AI基础设施建设完成后将带来自由现金流(FCF)的红利。 但明显的赢家似乎是英伟达、三星、SK海力士、博通和台积电。 随着超大规模云服务商(hyperscalers)中部分公司陷入债务，它们将资产负债表转移给这些供应商，期望从AI支出中获得长期投资回报率(ROI)。
英文原文
The richest companies in the world are going into debt for the AI buildout. Despite hundreds of billions in net income, companies from $AMZN to $GOOGL have increased capex so much: That some are projected to be net negative cash in 2026. Here are the results and who profits: Amazon ( $AMZN ) 2025: +$46.0 billion 2026 (Est): +$11.0 billion Alphabet ( $GOOGL ) 2025: +$80.3 billion 2026 (Est): +$13.0 billion Meta Platforms ( $META ) - Net Debt 2025: +$22.9 billion 2026 (Est): -$7.0 billion (Expected to swing into Net Debt) Microsoft ( $MSFT ) 2025: +$49.2 billion 2026 (Est): +$59.0 billion Oracle ( $ORCL ) 2025: -$98.0 billion (Net Debt) 2026 (Est): -$115.0 billion Microsoft appears to be in the safest position. While Amazon and Google have been largely funding the AI buildout with operating income. However, that large cashflow buffer has vanished. Oracle and Meta appear to be in debt to fuel the buildout, despite $META achieving staggering operating income numbers. Now, where does the money flow into? Operating Income Projections: 1. $NVDA - USA $135.0B -> $186.5B -> $240.1 Billion Operating Income 2. Samsung - Korea ~$30.2B -> ~$170B -> ~$226.7 Billion 3. SK Hynix - Korea ~$32.7B -> ~$124B -> ~$161.0 Billion 4. $TSM - Taiwan ~$62.2B -> ~$86.3B - ~$103.3B – $105.3 Billion 5. $AVGO - America ~$41.5B -> ~$62.8B-$65.1B - ~$84.7B-$93.3B Of course, these are rough estimates based on analyst projections. However, from the general trend, this looks like a leveraged bet that the AI buildout will pay off dividends in FCF after they're finished. But the clear winners appear to be Nvidia, Samsung, SK Hynix, Broadcom, and TSMC. This comes as hyperscalers, with some going into debt, transfer over their balance sheets to them, expecting a long term ROI from their AI spend.
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AI 驱动下，三星和海力士营业利润增速惊人，有望在 2027 年追平或超越美股巨头。
全球最盈利公司排名（Mag 7 vs. 世界） 2025->2026->2027 年营业利润(Operating Income)预测。 #1: $NVDA (美国, 4.4T 市值) 🇺🇸 ~1350 亿 -> 1865 亿 -> 2401 亿美元 #2 三星电子 (韩国, 8200 亿市值) 🇰🇷 ~302 亿 -> ~1700 亿 -> ~2267 亿美元 #3 $MSFT (美国, 2.9T 市值) ~1285 亿 -> 1530 亿 -> 1815 亿美元 #4 $GOOGL (美国, 3.7T 市值) ~1290 亿 -> 1420 亿 -> 1730 亿美元 #4 海力士 (韩国, 4100 亿市值) ~327 亿 -> ~1240 亿 -> ~1610 亿美元 #5 $APPL (美国, 3.76T 市值) 1331 亿 -> 1460 亿 -> 1605 亿美元 #6 $AMZN (美国, 2.13T 市值) 800 亿 -> 1050 亿 -> 1365 亿美元 #7 $Meta (美国, 1.62T 市值) 833 亿 -> 970 亿 -> 1215 亿美元 #8 $TSLA (美国, 1.31T 市值) 44 亿 -> 80 亿 -> 240 亿美元 韩国 8200 亿市值的三星电子预计将在 2027 年在营业利润上追平 $NVDA。 同时，海力士预计将在 2027 年在营业利润上超越 $APPL 和 $AMZN。 主要结论是，由于人工智能(AI)的加速部署，美国超大规模云服务商和韩国股票的增长令人惊叹。
英文原文
Global ranking of the most profitable companies in the world (Mag 7 vs. World) Projections for 2025->2026->2027 (Operating Income). #1: $NVDA (USA, 4.4T MC) 🇺🇸 ~$135.0B -> $186.5B -> $240.1 Billion #2: Samsung Electronics (Korea, $820B MC) 🇰🇷 ~$30.2B -> ~$170B -> ~$226.7 Billion #3 $MSFT (USA, $2.9T MC) ~$128.5B -> 153.0B -> $181.5 Billion #4 $GOOGL (USA, $3.7T MC) ~$129.0B -> $142.0B -> $173.0B #4 Sk Hynix (Korea, $410B MC) ~$32.7B -> ~$124B -> ~$161.0 Billion #5 $APPL (USA, $3.76T MC) $133.1B -> $146.0B -> $160.5B #6 $AMZN (USA, $2.13T MC) $80.0B -> $105.0B -> $136.5B #7 $Meta (USA, $1.62T MC) $83.3 -> $97.0B -> $121.5B #8 $TSLA (USA, $1.31T MC) $4.4B -> $8.0B -> $24.0B Samsung Electronics, a $820B company in Korea is projected to catch up to $NVDA in 2027 in operating income. Meanwhile Sk Hynix is projected to overtake both $APPL and $AMZN in operating income in 2027. The main takeaway is that the growth of both US hyperscalers and South Korean equities is astounding due to Artificial Intelligence ramp.
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七巨头盈利强劲支撑科技股，但加密市场低迷警示短期流动性风险。
我认为“七巨头”(Mag7)的盈利过于强劲，不足以引发全面修正。$META 指引营收增长约 30%。$GOOGL 庞大的 1800 亿美元资本支出由其 2025 年超 1320 亿美元的营业利润资助。这些资金流入 AI、存储和半导体领域，为其提供了底部支撑（例如，存储占 AI 集群物料清单(BOM)的很大比例）。即使是其他板块的中盘股如 $RDDT，在 35% 的净利率转化为净利润后，远期市盈率(Forward P/E)估值也接近 26-30 倍，营收同比增长 70% 且远期增长超 50%。增长目前看来仍可持续，且软件等其他板块大幅折价。但比特币/以太坊尚未恢复通常是短期流动性问题的最佳“煤矿金丝雀”(canary in the coal mine)。我预计中期选举前会出现更广泛的复苏。
英文原文
IMO Mag7 earnings are too strong for a full-blown correction. $META projecting guided ~30% revenue growth. $GOOGL's enormous $180B capex spend is funded by it's $132B+ operating income from 2025. All those funds trickle down into AI, memory, semis and puts a floor on them (eg. memory is a huge percentage of BOM for AI clusters). Even mid cap in other segments like $RDDT, is close to ~26-30 forward P/E estimates after 35% of revenue as net income -> 70% Y/Y revenue growth and 50%+ forward. Growth still looks sustainable right now, and other segments like software are heavily discounted. But the fact Bitcoin/Ethereum is not recovering yet is usually the best canary in the coal mine for short term liquidity issues. I'd expect a broader recovery going forward to midterms.
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澄清NBIS产能与基建概念，指出市场担忧其融资稀释。
我认为这是将他们对主动产能（已满负荷，意味着 $NBIS 需求旺盛）的表述，与他们正在建设的 2.5GW 签约管道及基础设施混为一谈了。不过我们拭目以待，$NBIS 上次意外获得了 $META 的合同，但市场显然不喜欢其伴随的 ATM（自动取款机融资）/稀释效应。
英文原文
I think that’s conflating their words for active capacity (maxed out, meaning $NBIS has high demand) with the 2.5GW contracted pipeline + infrastructure they’re building out. But we’ll see, $NBIS had a surprise $META contract last time but markets clearly didn’t like the ATM/dilution.
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AXTI因铟价飙升及垂直整合优势，有望成光子学核心瓶颈并重估。
$AXTI - 7N高纯度铟价格突破1000美元，且过去三个月呈抛物线式上涨。 这是价格上涨的衍生反映。 有两个细微差别： 1. 这是当地上海金属市场(SMM)的定价（中国控制着70%以上的供应链）。 从$GOOGL到META的超大规模云服务商可能正在为此支付高额溢价（转嫁给$LITE或其他公司）。 2. 这是磷化铟(InP)衬底的原料。 InP衬底 = $AXTI 和住友电工(Sumitomo)。 原料 = $AXTI 和 Vital。 前驱体价格上涨会损害住友电工的底线 -> $LITE / $COHR -> 下游。 但AXT作为两个不同层面的瓶颈，在原料/精炼层面实现垂直整合，因此两次受益。 正如$GOOGL的财报所示，随着其1800多亿美元的资本支出，光子学的建设即将呈抛物线式增长。而且就在现在。 我对$AXTI的论点是 -> 像内存公司（如$SNDK、$MU、SK海力士）一样涨价，并作为光子学建设的核心瓶颈获得重估。 不再是三大巨头，而是两家（AXT/住友）。随着日本面临出口管制带来的上游材料问题，最终可能只剩一家。 与内存产品相比，价格上涨的可见度较低。 但我们可以在SMM上的7N铟等衍生品中看到这种潜在反映。
英文原文
$AXTI - 7N high purity Indium hit over $1K+ USD and has increased parabolically over the last three months. This is a derivative reflection of price hikes. There's two nuances: 1. This is local SMM pricing (China controls 70%+ of the supply chain). Hyperscalers from $GOOGL to META are probably paying large premiums for this (to pass to $LITE or others). 2. This is feedstock to InP substrates. InP substrates = $AXTI and Sumitomo. Feedstock = $AXTI and Vital. Increases in precursor prices hurts the bottom line of Sumitomo -> $LITE / $COHR -> downstream. But AXT benefits both times as a bottleneck of two different layers, since they are vertically integrated at the feedstock/refinery level. As seen with $GOOGL's earnings, the buildout for photonics is about to grow parabolically with their $180B+ capex spend. And now. My thesis with $AXTI is -> price hikes like memory companies (eg. $SNDK, $MU, SK Hynix) and get re-rated as the central chokepoint for photonics buildout. Instead of the big three, you have 2 (AXT/Sumitomo). Possibly 1 in due time, as Japan faces issues with upstream materials from export controls. There's less visibility over price hikes compared to memory products. But we can see this potentially reflected in derviatve like 7N indium on SMM.
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AXTI因InP供应链瓶颈逻辑6周涨60%，成AI光子学关键瓶颈标的。
自我发布关于 $AXTI 的初始帖子以来，已经过去了6周。 它的股价又上涨了60%。 几乎没有人在这上面讨论这只市值仅7亿美元的小盘股。 尤其是从磷化铟(InP)供应链与光子学的角度。 现在它已成为一家14亿美元的公司，进入了机构和政府的视野。 在此期间： - 中国出口管制禁止了其竞争对手的前体材料 - 7N级磷化铟(InP)价格周周创历史新高 - 他们从Northland筹集了1亿美元以翻倍产能 - $LITE 业绩大超预期，预计光学需求将超过供应 - 所有超大规模云服务商(Hyperscaler)的资本支出均超出预期 - 特朗普签署行政令，从美国境内的外国拥有公司手中接管磷化铟(InP)供应链。 这6周里，我预计光子学在未来两年及以后将增长最快。 每只股票都有波动性（这只股票每天上下波动20%+），所以在入场交易前，重要的是建立你自己的信念。 但 $AXTI 是我从7亿美元微小市值开始的最有趣的瓶颈多头标的之一。
英文原文
It’s been 6 weeks since I made the initial $AXTI post. It’s now up another 60%. Almost nobody talked about this tiny $700M stock on X. Especially not from angles of InP supply chains with photonics. And now it’s a $1.4B company on institution and gov radars. Since then: - China export control banned precursors to their competitors - 7n InP prices hit all time highs week after week - They raised $100M from Northland to double their capacity - $LITE blows out earnings with expectations of optical demand outstripping supply - Every hyperscaler blew out expectations of capex - Trump signed executive orders to seize InP supply chains from foreign owned companies in the US. It’s been 6 weeks. And I expect photonics to ramp up the most over the next two years onwards. Every stock has volatility (this one moves 20%+ up and down daily) so it’s important to develop conviction by yourself before entering a trade. But $AXTI is of my most interesting bottleneck longs starting from a tiny $700M MC.
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超大规模云厂商资本支出激增导致GPU供应紧张，利好新云服务商。
黄仁勋在CNBC表示：“六年前销售的GPU价格正在上涨。” GPU折旧曾是$NBIS、$IREN和$CRWV最大的担忧。 但现在，它们拥有： - 超大规模云厂商资本支出增加带来的顺风 - 全面的需求增长 - GPU折旧担忧缓解。 所有顺风同时利好新云服务商(Neoclouds)。 （引用内容：根据3Fourteen Research：2月份主要云服务的GPU可用性大幅下降。随着$META、$AMZN、$GOOGL大幅增加基础设施资本支出，主要赢家是新云服务商：$IREN、$NBIS和$CRWV是三家提供AI云服务的企业。随着Opus 4.6等新AI模型的推出，可能出现新一轮需求冲击。从B200等新一代到旧型号，需求全面增长。这是产能限制累积效应的可视化体现。）
英文原文
Jensen Huang on CNBC: "GPUs sold six years ago are increasing in price." GPU depreciation was the largest concern for $NBIS, $IREN, and $CRWV. But now, they have: - Tailwinds from increased capex spend across hyperscalers - Increased demand across the board - GPU depreciation fears eased. Every tailwind just hit at once for Neoclouds.
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云厂商GPU供应紧缺，Neoclouds因需求冲击受益。
根据3Fourteen Research的数据：2月份主要云服务提供商的GPU可用性大幅下降。 与此同时，$META、$AMZN和$GOOGL大幅增加了基础设施资本支出。 主要的受益者是Neoclouds（新型云服务商）： $IREN、$NBIS和$CRWV是拥有AI云服务业务的三家。 随着Opus 4.6等新AI模型的发布，很可能出现了一波新的需求冲击。 这种需求增长是全方位的，涵盖了B200等新一代芯片以及旧型号。 这是产能限制累积效应的直观体现。
英文原文
According to 3Fourteen Research: GPU availability across major cloud services have dropped immensely in Feb. This comes as $META, $AMZN, $GOOGL have increased infrastructure capex spend immensely. The major victors, Neoclouds: $IREN, $NBIS, and $CRWV are the three with AI cloud offerings. There's likely been a new wave of demand shock with new AI models coming out from Opus 4.6 and others. And the demand increase is across the board with newer gens like B200, and older models. This is the cumulative effect of capacity constraints, now visualized.
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超大规模云厂商AI资本支出激增，利好上游半导体供应链，建议坚守基本面做多。
市场正遭受AI资本支出(AI capex)冲击的洗礼。 这实质上是超大规模云服务商(hyperscalers)与外国之间的一场AI军备竞赛。 2025年至2026年间，资本支出(capex)增长如下： $GOOGL：从910亿-930亿美元增至1750亿-1850亿美元 $AMZN：从1250亿美元增至约2000亿美元 $META：从720亿美元增至1150亿-1350亿美元 $MSFT：从1100亿美元增至1500亿美元 $TSLA：从85亿美元增至200亿美元以上 当谷歌表示其年度支出（用于数据中心、TPU、基础设施）从去年的920亿美元激增至1850亿美元时，这一规模是巨大的。 $AMZN等公司的资本支出预测涵盖机器人到太空领域，情况不一，但同一家内存公司和半导体公司实际上能从中双重受益。 市场可能不欣赏$GOOGL如此巨大的支出，但上游AI供应链 certainly 乐见其成。 尤其是那些最明显受益的公司，例如： 专用集成电路(ASICs)：$AVGO（谷歌TPU、Meta MTIA等） 内存：SK海力士、三星、美光 $TSM（没有台积电你造不出“上帝”） $NVDA（训练） 每个建设项目中都有隐藏的受益者（例如$MSFT带动的$AAOI，$MRVL带动的$POET，$GOOGL带动的$LITE）。但有时，像内存或$TSM这样显而易见的“傻瓜式”标的反而就是最好的选择。 判断AI交易是否持续的最大信号是超大规模云服务商的支出： 而他们刚刚彻底超出了所有预期。 在AI建设浪潮中保持做多，基本面比宏观环境和短期流动性冲击更重要。
英文原文
Markets have been hit with an AI capex shock. This is effectively an AI arms race between hyperscalers and foreign nations. Between 2025 to 2026, capex has increased from: $GOOGL: $91B - $93B to $175B – $185B $AMZN: $125B to ~$200B $META: $72B to $115B-$135B $MSFT: $110B to $150B $TSLA: $8.5B to $20B+ When Google says they are spending $185 Billion in 1 year (on DCs, TPUs, infrastructure), from $92B the previous year, that is enormous. Capex projections like $AMZN are mixed from robotics to space, but the same memory companies and semiconductors actually benefit twice. Markets might not appreciate $GOOGL spending that much but AI supply chains upstream certainly do. Especially the most obvious ones that benefit from most such as: ASICs: $AVGO (Google TPUs, Meta MTIA, etc.) Memory: SK Hynix, Samsung, Micron $TSM (You cannot build God without TSM) $NVDA (training) There's hidden beneficiaries in each buildout (eg. $AAOI with $MSFT to $POET with $MRVL, $LITE with $GOOGL). But sometimes, the braindead obvious plays like memory or $TSM are are just the best. The biggest signal of whether the AI trade continues is hyperscaler spending: And they just blew all expectations out of the room. Stay long in the AI buildout, fundamentals matter more than macro and short term liquidity shock.
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Google和Meta用自有现金流投入AI基建，优于短期回购，长期价值更高。
对于那些担心 $GOOGL 和 $META “AI资本支出(AI Capex)”的人。Google使用其自有经营现金流($1800亿)为TPU、GCP和数据中心的数据中心建设提供资金是积极的。他们在2025年产生了约$1650亿的现金流。看看 $PYPL 发生了什么，当你只关注通过回购带来的短期股价时。Paypal字面上又发行了$60亿的回购，而股价下跌了20%。像 $META 这样在万亿美元估值下加速收入的基础设施支出是非常值得的。$META 字面上指引了30%+的同比增长。$GOOGL 指引GCP 48%的同比增长，Gemini用户数量飙升（他们去年的主要威胁是ChatGPT）。为未来的投资回报率(ROE)花钱比短期增加股价带来更大的价值。
英文原文
For all the people worrying about "AI Capex" spend with $GOOGL and $META. Google using their OWN operating cash flow ($180B) to fund the AI buildout for TPUs, GCP, and DCs is positive. They generated ~$165B in 2025. Just look at what happened to $PYPL, when you only about short-term share price with buybacks. Paypal literally issued another $6B buyback and the share price is down 20%. Infrastructure spend to accelerate revenue like $META at trillion dollar valuations is incredibly worth. $META literally guided 30%+ Y/Y growth. $GOOGL guided GCP 48% Y/Y growth and Gemini user numbers skyrocketed (their main threat was ChatGPT last year). Spending money for future return on equity delivers much more value than short-term increases on share prices.
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TPU/DC供应链庞大，难点在于识别BOM及相对市值受益最大的公司。
@PhotonCap 是的，TPU/DC（数据中心）的供应链规模巨大，$GLW 以及其他受益于 $META 和 $GOOGL 资本支出的公司都是赢家。主要问题（也是最难的部分）在于识别BOM（物料清单），并找出相对于当前市值而言受益最大的公司。
英文原文
@PhotonCap Yes, the supply chain for TPU/DC is massive with $GLW and other beneficiaries from $META and $GOOGL capex. Main thing (hardest part) is identifying BOM and who benefits the most from this relative to current MC.
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谷歌转向TPU利好相关托管商，NBIS非其受益者。
@lawbrax 这对通过 Fluidstack 与 $GOOGL 相关的托管设施(Colo)公司，如新云(NeoCloud)领域的 $CIFR 和 $WULF 是利好消息。 看起来谷歌主要转向张量处理单元(TPU)了。我认为 $NBIS 并非谷歌的受益者，但他们曾是 $META 的受益者。
英文原文
@lawbrax This is positive for $GOOGL related colo companies through Fluidstack like $CIFR and $WULF in neocloud sector. Looks like Google is primarily shifting to TPUs now. Don't think $NBIS is a beneficiary of Google but they were with $META.
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谷歌巨额资本支出加速AI基建，利好相关供应链。
$GOOGL 公布了财报，其资本支出(CapEX)规模巨大。 1750亿-1850亿美元 vs. 1200亿美元。 这对AI基础设施建设是利好。 跟随资金流向下游： - $AVGO、联发科、$TSM（设计/晶圆代工） - SK海力士、三星、$MU、$SNDK（存储） - $ANET、$LITE、$COHR、$VRT（网络、光子学、能源） 等等，因为谷歌表示支出主要在于：“包括服务器、数据中心和网络在内的AI基础设施”。 从 $META 到 $GOOGL 的超大规模云服务商正在大幅增加资本支出。 这仅仅表明： AI基础设施建设正在加速，并由全球最盈利的公司资助。 做多AI供应链。
英文原文
$GOOGL reported earnings and their CapEX spend was enormous. $175-$185 Billion vs. $120 Billion. This is bullish for AI buildout. Follow the money flow down to: - $AVGO, Mediatek, $TSM (design / foundry) - Sk hynix, Samsung, $MU, $SNDK (memory) - $ANET, $LITE, $COHR, $VRT (network, photonics, energy) etc. as Google said spend was: "primarily on AI infrastructure including servers, data centers and networking" Hyperscalers from $META to $GOOGL are increasing their capex spend enormously. This just goes to show: AI buildout is accelerating and is funded by the most profitable companies in the world. Long AI supply chains.
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SNAP借债回购掩盖高额股权激励，实质是财富转移，建议回避。
$SNAP 刚刚发布财报并宣布5亿美元股票回购计划。 回购是一个危险信号。 Q4 报告： - 营收：17.16亿美元（+10%） - 自由现金流(FCF)：2.06亿美元（+13%） - 净利润：4500万美元 - 毛利率：59% $SNAP 确认了2.572亿美元的基于股票的薪酬(SBC)，年末SBC总额达10.17亿美元。 如果 $SNAP 用现金而非股票支付员工/高管薪酬，其季度“自由现金流”实际上将是-5100万美元。 你看到的是30亿美元的资产负债表，但他们净现金为-4.9亿美元，因为他们正借入35亿美元以上的长期债务来进行回购。 这与 $META 或 $NVDA 利用资产负债表多余资本进行的回购不同。 这是为了抵消授予高管和“人才”的股票期权。 他们为债务支付的市场利率为6.875%。 仅用于“回购”的债务利息现在每季度超过3000万美元，即每年1.2亿美元以上。 财报看起来很棒，但股票薪酬造成的视觉错觉让现实显得糟糕透顶。 我个人不会投资维多利亚的秘密模特的私人存钱罐。
英文原文
$SNAP Just reported earnings and issued a $500M share buyback. The buyback is a red flag. Q4 Report: - Revenue: $1.716 Billion (+10%) - FCF: $206M (+13%) - Net Income: $45M - Gross Margins: 59% $SNAP recognized $257.2 million in STOCK BASED COMPENSATION, ending the year with $1.017 billion in SBC. If $SNAP paid employees/executives in cash instead of stock, If their "Free Cash Flow" for the quarter would actually be -$51M. You see a $3B balance sheet, but they are net cash -$490 Million, because they are going into $3.5B+ in long term debt to do buybacks. These are not $META or $NVDA buybacks because of excess capital from their balance sheet. It's to offset any stock grants going to their executives and "Talent". They are paying market rates of (6.875%) for their debt. That debt interest is now over $30M+ a quarter, so $120m+ a year just for "buybacks". Earnings look great, but the stock compensation optical illusion makes the reality look horrendous. I would personally not invest in a Victoria Secret model's private piggy bank.
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建议放弃逆向股，重仓三星和SK海力士等AI存储巨头。
老实说，光看这份预估净利润图表…… 让人不禁疑惑，为什么人们还要试图全仓押注像 $PYPL、$FIG 或 $DUOL 这样的逆向反转交易？ 我觉得，坐在像三星或 SK 海力士这样盈利且超增长的公司里“躺平”，才是最容易做的事？ 它们相比“七巨头(Mag7)”规模相对较小，但预计将在 2027 年成为全球最盈利的公司。 有时候，最好的做法就是参与这些显而易见的交易，开启“简单模式”的生活。
英文原文
Honestly just looking at the quoted net income chart… Makes you wonder why people try and full port it into contrarian turnaround plays like $PYPL, $FIG, or $DUOL I feel like sitting back and chilling in profitable, hyper-growth companies like Samsung or SK Hynix is just the easiest thing to do? They’re relatively small compared to Mag7, but projected to become the most profitable companies in the world in 2027. Sometimes the best thing to do is just join in on the no-brainer trades and live life on easy mode.
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博主回忆在英特尔工作期间，因管理层原因导致AI穿戴项目被雪藏。
@beauty_oe @jukan05 嗯，我的第一份工作是在 $INTC（英特尔）。当时我在 Moonshot Lab（月光石实验室），开发类似现在 $META（Meta）AI 的穿戴设备。但因为管理层的原因，所有项目都被雪藏了。看着酷炫的项目无法面世而消亡，确实令人悲伤。
英文原文
@beauty_oe @jukan05 うん、最初の職場は $INTC だったよ。 ムーンショット・ラボにいて、今の $META AI みたいなウェアラブルの開発をしてたんだ。 でもマネジメントのせいで、プロジェクトは全部お蔵入りになっちゃってさ。クールなプロジェクトが日の目を見ずに消えていくのは、やっぱり悲しいね。
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摩根士丹利预测2027年存储巨头利润登顶，确认存储超级周期已至。
存储超级周期已至。 据摩根士丹利(Morgan Stanley)最新报告估算： - 三星(Samsung)净利润约1630亿美元 - 海力士(SK Hynix)约1209亿美元。 这将使三星成为全球最赚钱的公司，甚至超过$NVDA和$GOOGL。 以下是前十名排名： 1. 三星电子 ~1630亿美元 (2027年) 2. Alphabet $GOOGL 1524.4亿美元 3. Apple $APPL 1330.5亿美元 4. Microsoft $MSFT 1276.5亿美元 5. 海力士 $SKHYNIX 1209亿美元 (2027年) 6. NVIDIA $NVDA 1165.1亿美元 7. Amazon $AMZN 952.2亿美元 8. Meta $META 850.9亿美元 9. 伯克希尔哈撒韦 $BRK 815亿美元 10. 摩根大通 $JPM 728.1亿美元 这是基于companiesmarketcap来源的2027年前瞻净利润与过去十二个月(TTM)净利润的对比。感谢@jukan05提供摩根士丹利报告。上述数据排除了沙特阿美(National companies)等国有企业。 来自$MU、三星和海力士的存储超级周期显然已经到来。
英文原文
The Memory Supercycle is here. New reports from Morgan Stanley est. - Samsung's net profit ~$163.0B USD - SK Hynix's ~$120.9B USD. That would make Samsung the most profitable company in the world, even more than $NVDA and $GOOGL. Here are the top 10 rankings: 1. Samsung Electronics ~$163.0B (2027) 2. Alphabet $GOOGL $152.44B 3. Apple $APPL $133.05B 4 Microsoft $MSFT $127.65B 5. Sk Hynix $120.9B (2027 6. NVIDIA $NVDA $116.51B 7. Amazon $AMZN $95.22B 8 Meta$META $85.09B 9. Berkshire Hathaway $BRK $81.5B 10. JPMorgan Chase $JPM $72.81B This is forward 2027 net income compared to TTM net income sourced by from companiesmarketcap. Credit to @jukan05 for the Morgan Stanley report. Excluding National companies like Saudi Aramco in these figures. The memory supercyle from $MU, Samsung, and SK Hynix is here clearly here.
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反驳对Meta的唱空观点，指出其高增长和充足现金流足以支撑基建。
@hoiyeahhhh 我看到的唱空 $META 的帖子数量简直离谱。金融圈(X)的人(FinX)只是孤立地看待问题。 如果营收/自由现金流(FCF)在下降，那倒是另一回事，但像 Meta 这样的超大规模云服务商如何实现超过 30% 的同比增长，这太疯狂了。 他们有足够的资金来支持基础设施建设。 https://t.co/WqNBfktto2
英文原文
@hoiyeahhhh Amount of bear $META posts I’ve seen was crazy. FinX just look at things in a vacuum. If revenues/FCF were decreasing that would be another story but how is a hyperscaler like Meta growing over 30% Y/Y, that is crazy. They have enough to fund the buildout. https://t.co/WqNBfktto2
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反驳对Meta的看空观点，认为其高增长和资本支出回报强劲，看好股价上涨。
不明白为什么 FinX 对 $META 如此看空。他们给出的指引是 535 亿 -565 亿美元，高端意味着约 33.5% 的同比增长。这太疯狂了。人们曾引用 2026 年资本支出(Capex)指引 1150 亿 -1350 亿美元作为看空理由，而估算值约为 1100 亿美元。$META 即使在 1 万亿美元估值下，也再次像初创公司一样增长。很明显，无论资本支出花在哪里，都转化为了营收和未来自由现金流(FCF)的投资回报率，而非投入无底洞。我不惊讶于看到 Meta 在未来几周达到 800 美元以上。上次 BBB 财报（尽管同比增长 26% 并带来 100 多亿美元 FCF）纯粹是表面现象。而同样的 $META 叙事今天仍在被重复。当世界上有一半的人每天使用一家公司时，也许是时候重新思考你的头寸并做多(long)了。
英文原文
Not sure why FinX is so bearish on $META. They’re guiding $53.5B – $56.5B.High end is ~33.5% y/y growth. This is insane. People were citing 2026 Capex Guide: $115B – $135B as a bear case Where est. ~$110B $META is growing like a startup again even at a $1T valuation. It’s clear wherever capex spend is going, it’s delivered in revenue and future FCF ROI, not going into a black hole. Wouldn’t be surprised to see Meta at $800+ in the upcoming weeks. This was pure optics last time around with BBB earnings (even though they grew 26% Y/Y and delivered $10B+ FCF). And that same $META narrative is still being parroted today. When you have half of the world using a company daily, maybe it’s time to rethink your position and go long.
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重申对$META的预判：高资本支出无碍其强劲盈利能力。
@ShortsHoward 是的，这真是一次惊人的预判。通常我不给出具体的时间框架，但我说过 $META 是财报预期（earnings optics），结果应验了。资本支出（Capex）虽然更高，但这没关系，因为他们正在疯狂印钞。
英文原文
@ShortsHoward yeah this was an incredible call. Normally I don't give specific timeframes but I said $META was earnings optics and it hit. Capex is higher but it doesn't matter because they're printing so much money.
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作者回顾去年$META期权展期亏损，称当前收益已弥补。
@MD_Gamification 是的，只要最终盈利就行！去年我在$META上亏了不少，因为我不得不将看涨期权(Options Calls)展期到更晚的日期。我的平均成本最终约为$640。但这笔交易弥补了损失。
英文原文
@MD_Gamification Yep, as long as you profit in the end! I ended up losing a lot on $META last year when I had to rotate calls to a later date. My cost avg ended up being around $640 But this made up for it.
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重申两周前对$META的看涨观点，认为资本支出被夸大且盈利强劲。
顺便提一下，这个在 $625 价位对 $META 的看涨观点仅仅是两周前提出的。🎯 希望未来几周股价能进一步上涨，资本支出(capex)支出被夸大了，因为他们正在疯狂赚钱并以惊人的速度增长。
英文原文
Btw this $META call at $625 was only 2 weeks ago. 🎯 Hope it goes up even more over the next few weeks, capex spend was overblown since they’re printing money and growing at astounding rates. https://t.co/ElqIsW49al
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博主表示重仓英特尔和Meta，关注后续表现。
@Neomeldir 不错！我个人重仓了 $INTC 和 $META，好奇看看这两只股票在接下来的几周表现如何。
英文原文
@Neomeldir Nice! I personally loaded up on $INTC and $META, curious to see how those two do in the upcoming weeks.
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高股息股暴跌警示：安全感源于成长股而非停滞的股息。
$UNH 刚刚暴跌 -19.48% 至 $283.31。股息投资者(Dividend investors)和巴菲特跟单者(Buffet copytraders)今年过得并不轻松。来自 $PYPL 的跌幅为 -37.8%（1年），$FISV 跌幅为 -72%（1年）。这是一个残酷的警钟：通过追逐 $UNH 约 2.85% 的“股息”或进行价值投资，单日 20% 的下跌（如今天）实际上抹去了 6.6 年的等待。安全感并非来自停滞和股息，而是来自像 $NVDA、$META 或 $TSM 这样最明显的成长型公司。
英文原文
$UNH has just crashed -19.48% to $283.31. Dividend investors and Buffet copytraders are not having a fun time this year. Others from $PYPL are down -37.8% 1Y with $FISV down -72% 1Y. This is a brutal wake-up call that by chasing a ~2.85% "dividends" with UNH or value investing, a single-day drop of 20% (like today) effectively wipes 6.6 years of waiting. Safety isn't found in stagnation and dividends. It's found in the most obvious growth companies like $NVDA, $META, or $TSM.
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发布1月25日美股评级，强烈看好AI、内存及美国供应链瓶颈股，回避高估值与稀释风险标的。
1月25日评级。欧盟关税及$INTC财报后更新。 强烈买入： $SNAP $META 三星电子 SK海力士 $MU 欣兴电子 $TSM $CRCL $AXTI $LPTH $COPX $LIT $AEHR $FORM $AMKR $AVGO $MRVL 买入： $COIN $SMCI $GOOGL $FIG $AMZN $IBIT $RDDT $TTD $HIMS $HOOD $COHR $AMBA $IREN $POET $AAOI $LASR $VPG $OSS $INTC $UMAC $ONDS $AIRO $DPRO $AVAV $BULL $ETOR VLN NBIS GLXY CIFR HUT WULF 存疑 $VELO $SKYT 回避 $UAVS $BKKT WLMT SLNH $PLTR CRWV $ORCL $BMNR $IONQ, RGTI, QBTS _ 强烈买入 Snapchat - 底部约在$7.4，我认为在此位置非常强劲。随着内存资本支出减少及内存变现进入2027年，自由现金流(FCF)增加。只需等待重估。 Meta - 营收同比增长26%极其强劲，上季度产生超$100亿自由现金流。预计下季度财报后走势将走强，此前因光学(环比EPS光学效应超700%)导致BBB抛售，现在应已消化。 三星电子 - 半导体领域的圣杯，三星同时提供高带宽内存(HBM)和代工(Fab)敞口。 SK海力士 - 内存超级周期 美光 - 内存超级周期，但有美国背景支持。 欣兴电子 - 针对HBM、IC载板、玻璃基板、CoWoS及其他所有瓶颈环节的“邪恶”长线持仓。 台积电 - 印钞机，字面意义上不会出错。 Circle - 预计降息2-3次可能会大幅损害Circle净利润，因此已被定价。但在$160亿市值时是极佳的长线标的，他们正在印钞，且应开始看到美元稳定币(USDC)的扩张。 AXTI - LPTH: 磷化铟(InP)/锗等瓶颈。将成为2026年的巨大主题。只需等待AXT的供应链中断或Lightpath的黑钻(Black Diamond)在美国制造。我认为由于产能爬坡->收入增加，下行风险极低，但类似HBM的“登月式”涨价可能存疑。 COPX - 锂：稀土/材料如铜、锂是2026年的极佳长线标的。与上述瓶颈类似，来自中国的供应链中断将导致资金流向确保供应+建设新供应链。 AEHR - 说实话，他们处于AI和机器人两个热门垂直领域。$550万索诺玛(Sonoma)订单可能与美光和碳化硅(SiC)测试有关。看起来是市值低于$10亿的极佳“登月”标的。 FORM - 由于涉及DRAM/HBM及代工/逻辑，可能在美国供应链中变得重要。良率在HBM4中尤为重要。 AMKR - 美国本土制造供应链及台积电->美国转移的极大受益者。 博通 - 财报后近期大幅回调。鉴于超大规模客户ASIC将继续爬坡（尽管有一些延迟），我认为在此位置强烈买入。 Marvell - 与博通故事相同，Marvell因微软Maia延迟传闻而抛售。只需等待2027年营收约翻倍，当市场开始定价这一点，以及在Celestial收购后，他们在互连等其他领域做得很好。 买入 Coinbase - 加密货币近期回调使Coinbase在$570亿市值下价值再次合理。我从未喜欢其交易所部分，但为贝莱德IBIT ETF提供基础设施+与Circle的USDC收入分成，赋予Coinbase相当不错的长期价值。 SMCI - 从$60+暴跌回$30+呈现了极具吸引力的机会。市场极度担忧毛利率->SMCI向海外扩张，特别是主权AI+购买低端Nvidia GPU。且SMCI在那里的毛利率应会提升。也可能因为与客户达成的交易变得“粘性”。他们的营收增长并未停滞，仍达$360亿+。 GOOGL - 此时Gemini可能会接管ChatGPT，所以我会继续做多谷歌。 Figma - 软件板块抛售为许多被重挫的标的如Figma提供了良好机会，其拥有极高的毛利率+稳健增长。 亚马逊 - 价格基本与去年持平，他们一直在增长，AWS表现良好，涉足机器人+太空低轨卫星(LEO)，看起来是未来极佳的长线标的。 比特币 - 始终是极具吸引力的长线标的 Reddit - 估值高，但毛利率极高且不会消失，因为每个人都在用Reddit。 TTD - 2025年的抛售再次呈现了极具吸引力的估值 HIMS - 说实话，在$29时对我极具吸引力，可能会再次放入强烈买入，但当然营收减速非常令人担忧。主要Alpha在于市场未定价Zava收购，仅凭庞大的客户群，他们就能从新客户中衍生大量营收。 Robinhood - 从$140抛售回$100再次为Robinhood提供了良好机会。他们不会消失，加上银行+其他新产品营收扩张，应带来积极顺风。 Coherent - 长线美国供应链，特别是光子学、InP等。 AMBA - 针对边缘AI推理用于机器人爬坡+边缘计算的“登月”长线标的。 POET - 现在基本是1/2现金，通过Celestial间接进入Marvell+超大规模客户。鉴于承销商在$7.25买入，$6.8的股价具有吸引力。 AAOI - 与微软Maia和AWS Trainium绑定的长线标的。两者都尚未真正起飞，所以只是等待游戏。 LASR - 定向能武器非常酷。我不太喜欢基本面如20%左右的营收增长，但技术实在太酷了。 VPG - 与Optimus爬坡绑定的长线标的。我们应在2026年底看到工业用例，2027年底看到消费用例，所以Optimus生产可能现在开始或Q2影响资产负债表。 OSS - 国防板块及边缘AI+$2亿合同的长线标的。 INTC - 做多美国政策，财报并未改变任何观点，只是短期价格。 UMAC - 在此水平上是美国无人机制造的极佳长线标的。 ONDS, Airo, DPRO - 与AIRO, DPRO相同，看多无人机板块。相比几周前美国入侵委内瑞拉并威胁格陵兰时，没有太多巨大的顺风，但主题上看多。 AVAV - 关于将研发类合同->长期合同的错误信息导致抛售，呈现了相当大的上行空间 BULL - 我喜欢像Robinhood, Webull等拥有大量零售用户的券商，因为一旦拥有客户群，就有无尽的变现方式。抛售回$8呈现了极具吸引力的上行空间 ETOR - 抛售过度，净利润同比高，基本50%现金，下行风险低。只需等待财报重估。他们表现也不错，AUM同比70%+，所以不明白为何这样定价。 VLN - 不再像以前那样接近1:1资产/净值，曾有一段时间他们有$1100万+投资(下跌63%)毛利率，$9300万现金，所以会更接近1.1-1.2亿 : $1.4亿市值，这说不通。话虽如此，仍有$8000万远期营收，毛利率从63%->69%，看起来重估机会相当大。市场似乎只是不喜欢与某国相关的公司如Etoro，我想 Nebius - $150亿Clickhouse估值仅显示了分部加总(SOTP)，我不惊讶他们的子公司如Avride最终会超越主营业务。话虽如此，由于$20亿+ ATM在公开市场出售，近期有卖压。随着他们在2026年底达到$70亿ARR目标，应会极速爬坡。 GLXY, CIFR, HUT, IREN, WULF - 继续做多colo及其他新云板块标的。话虽如此，大多数自2025年以来已上涨30-40%+，所以它们不再是强烈的买入，因为已被定价。但仍有很多上行空间。 存疑 VELO - 很多人问我对此的看法，因为FinX喜欢这只股票。他们有很酷的客户如SpaceX，但基本面看起来糟糕。 ~$1180万现金 + $1750万发行 vs. ~$2300万债务。他们几乎没有剩余跑道，现在买入的人可能会被稀释。 Velo是拥有像IQE(欧洲InP供应链)这样极佳客户群但基本面糟糕的完美例子。 SKYT - 它是美国本土制造供应链的极佳标的，用于量子组件或边缘等酷东西。受益于芯片法案，但营收增长非常缓慢。它比Velo是更好的投机性长线，因为基本面更好。 24%左右的低毛利率，非常低的运营利润率，显然已计入市值，但美国纯代工应是一个溢价的好故事。底线是增长不够快。 回避 UAVS - 无尽的稀释机器，超过100%的市值已给予可将对市值25%以下的股份100%+转换为零售出售的套利投资者 BKKT - $3亿ATM稀释，而市值为$5.5亿。无尽的稀释机器 沃尔玛 - 43倍市盈率，不可能。 SLNH - 前方有大量稀释。 Palantir - 担忧估值P/E Coreweave - 担忧巨额债务，$10亿+债务利息严重损害自由现金流。然后是OpenAI的分配/建设，如果考虑到Gemini正在接管OpenAI的市场份额，对其能否履行合同义务存在极度、极度的担忧。 Oracle - 可能有技术性反弹，但说真的，他们为OpenAI(如Stargate)花费了太多资本支出，像Coreweave一样，OpenAI在能否履行合同义务方面存在极度担忧 BMNR - 无尽的稀释机器为愚蠢的项目融资，如$2亿投入Mr. Beast的公司。预期长期ETH质押ETF，做空BMNR，溢价将消失，例如$2亿现金投入Mr. Beast的公司流动性很差。 IONQ, RGTI, QBTS - 量子估值非常拉伸。 _ 总体想法： 我个人保持极度做多，这只是个人想法，非投资建议(NFI)。 许多小盘股和投机性公司自1月1日以来已经重估，我不认为许多50-100%的涨幅会持续（周五我们看到这些标的中有很多获利了结）。 话虽如此，特朗普正试图进一步降息（再降息2-3次），特别是因为中期选举即将到来。 SPY上涨 = 当选几率更大。所以我会保持极度做多直到中期选举后。 话虽如此，这有助于成长、投机性公司等。但我们已经看到这在很大程度上已被定价，如我最喜欢的长线标的之一Rocketlab，季度营收$1.55亿却达到$450亿+市值，所以我开始质疑估值->将许多头寸转向更多价值型（如软件下跌或内存超级周期）。 主题上我极度看多 - AI, 内存, 半导体 - 瓶颈 - 关键材料等。 非常看多 - 美国本土制造供应链 看多 - 国防板块 并会寻找软件到社交媒体公司等的波段交易/复苏/重估机会，鉴于近期的抛售。
英文原文
Jan 25th Ratings. Post EU Tariffs and $INTC ER. Strong Buy: $SNAP $META Samsung Electronics SK Hynix $MU Unimicron $TSM $CRCL $AXTI $LPTH $COPX $LIT $AEHR $FORM $AMKR $AVGO $MRVL Buy: $COIN $SMCI $GOOGL $FIG $AMZN $IBIT $RDDT $TTD $HIMS $HOOD $COHR $AMBA $IREN $POET $AAOI $LASR $VPG $OSS $INTC $UMAC $ONDS $AIRO $DPRO $AVAV $BULL $ETOR VLN NBIS GLXY CIFR HUT WULF Questionable $VELO $SKYT Avoid $UAVS $BKKT WLMT SLNH $PLTR CRWV $ORCL $BMNR $IONQ , RGTI, QBTS _ Strong Buy Snapchat - Bottomed around $7.4, imo very strong at this level. Increased FCF from memory opex reduction and memory monetization into 2027. Just a waiting game for re-rating. Meta - 26% Y/Y revenue growth is extremely strong, produced $10B+ FCF last quarter. Expect it to pick up after next quarter earnings due to optics (700%+ Q/Q EPS optics) that caused selloff last time from BBB. Samsung Electronics - Holy grail for semis, samsung provides exposure to both hbm and foundry. SK Hynix - memory supercycle Micron - memory supercycle, but with US backing. Unimicron - unholy long for hbm, ic substrates, glass core, cowos, and all other bottlenecks. TSM - money printer, literally can't go wrong with this. Circle - 2-3x projected rate cuts would likely hurt circle net income a lot, hence why it's being priced in. But amazing long at $16B as they print money and should start seeing expansion of USDC. AXTI - LPTH: Bottlenecks for InP / Germanium, etc. Will be a huge theme going into 2026. It's just a waiting game for both supply chain disruption (in AXT) or made in America w/ black diamond in Lightpath. Low downside risk imo due to capacity ramp -> revenue increase, but moonshot HBM type price increases might be questionable. COPX - LI: Rare Earths/Materials like Copper, Lithium are great longs for 2026. Similar with bottlenecks above, supply chain disruptions from China will cause money to flow into securing supply + buildout out new supply chains. AEHR - Honestly, they sit in two different hot verticals in AI and Robotics. $5.5m Sonoma order might be linked with Micron and SiC Testing. Seems like an extremely good moonshot sub $1B MC. FORM - Likely to be important in US supply chains since they do DRAM/HBM, and Foundry/Logic. & Yield is especailyl important w/ hbm4. AMKR - extreme beneficiary of made in america us supply chains and tsm -> US AVGO - Large correction recently post earnings. Strong buy IMO at these levels given hyperscaler ASICs will continue to ramp (even though there's been some delays). MRVL - Same story with Broadcom, marvell selloff after rumors of Microsoft maia delays. It's just a waiting game for ~2x revenue in 2027 and when markets start pricing that in, and after celestial acqusition, they're doing great stuff in other segments like interconnects. Buy Coinbase - Recent correction to Crypto makes Coinbase value decent again at $57B. Was never a fan of their exchange portion, but providing infra for Blackrock IBIT etfs + USDC revenue sharing with Circle, gives Coinbase pretty good long term value. SMCI - Extreme selloff from the $60's+ back to $30's presents attractive opportunity here. Markets are extremely concerned about gross margins -> SMCI expanding overseas, especially with soverign AI + buying lower end nvda gpus. and SMCI's margins should increase over there. Also likely due to deals to become sticky w/ customers. It's not like they're dying revenue growth to $36B+. GOOGL - Gemini at this point would likely take over chatgpt, so i'd remain long google. Figma - Software selloff provides good opportunity into a lot of the hammered names like Figma which extremely high gross margins + sturdy growth Amazon - Basically same price as last year, they've been growing, AWS is doing fine, they're in robotics + space LEOs, and just seems like a great long going forward Bitcoin - Always an attractive Long Reddit - High valuations, but extremely high gross margins and not going anywhere since everyone uses reddit. TTD - Selloff from 2025 presents attractive valuations again HIMS - Honestly extremely attractive for me at $29, might be put into strong buy again, but of course revenue deceleration is very worrysome. Main alpha is that markets arent pricing in Zava acqusition and just from sheer customer base, they can derive a lot of revenue from new customers. Robinhood - Selloff from $140 back to $100 presents a good opportunity for Robinhood again. They're not going anywere, plus new product revenue expansion from banking + others, should present positive tailwinds. Coherent - Long US supply chains, esp. for photonics, inp, etc. AMBA - Moonshot long for edge AI inference for robotic ramps + edge compute. POET - Basically 1/2 cash now, backdoor into marvell + hyperscalers through celestial. Attractive upside at $6.8 given underwriters bought at $7.25 AAOI - long play tethered to msft maia and aws trainium. both of them haven't really taken off yet so it's just a waiting agme LASR - energy directed weapons are super cool. i dont quite like the fundamentals like low 20% revenue growth, but the technology is just way too cool. VPG - Long play tethered to optimus ramp. we should see industrial use cases EOY 2026 and consumer EOY 2027, so maybe optimus productions starts hitting balance sheet now or q2. OSS - Long play on defense sector and edge AI + $200m contract. INTC - long on us policy, earnings didn't really change any perspective, just short term price. UMAC - Great long play at these levels on drone manufacturing in US. ONDS, Airo, DPRO - Same with AIRO, DPRO, bullish on drone sector. There's not much of a massive tailwind compared to a few weeks ago when US was invading venezuela and threatening greenland, but thematically bullish. AVAV - selloff from misinformation about converting r&D type contracts -> long term contract presents considerable upside BULL - I do like brokerages like robinhood, webull, etc. that have a ton of retail users since there's endless ways to monetize once you own the customer base. selloff back to $8 presents attractive upsdie ETOR - selloff way overblown, high net income y/y, basically 50% cash, low downside risk. just waiting for re-rating per earnings. they're doing well too, 70%+ Y/Y AUM, so not sure why they're being priced in like this. VLN - not quite the same anymore as close to 1:1 assets/nav, at one point they had $11m+ inv (off 63%) gross margins, $93M cash, so would have been closer to 110-120m : $140m MC, which made no sense. That being said still $80m fwd revenue off 63% -> 69% gross margins, seems like considerable opportunity for re-rating. Markets just don't seem to like companies eg. Etoro related to a certain country, I guess Nebius - $15B clickhouse valuation just goes to show Sum of Parts, where I wouldn't be surpirsed if their subsidaries like Avride ended up overtaking the main business. That being said, near term selling pressure due to $2B+ ATM being sold on open market. Should ramp up extremely fast as they meet their $7B ARR target EOY 2026. GLXY, CIFR, HUT, IREN, WULF - Remain long on the colo, and other neocloud sector plays. That being said most are up 30-40%+ since 2025, so they're not exactly a strong buy anymore as they've been priced in. But lot of upside remains. Questionable VELO - Lot of people asked my opinion on this since FinX loves this stock. They have really cool customers like SpaceX, but fundamentals look terrible. ~$11.8M cash + $17.5M offering vs. ~$23M. debt. They barely have any runway left and people buying now are likely to be diluted. Velo is the perfect example of amazing customer base like IQE (EU for inP supply chain), but terrible fundamentals. SKYT - It's a great made in america supply chain company for a lot of cool stuff like quantum components or edge. Benefits from CHIP act, but very slow revenue growth. It's a lot better speculative long than Velo since it has better fundamenatls. Lower gross margins like 24%, very low operating margins, is obviously priced into MC but U.S. pure-play foundry should be a good story for premium. Bottom line are not really growing too fast though. Avoid UAVS - Endless dilution machine with over 100%+ of marketcap given over to arbitrage investors that can convert 100%+ of the shares under 25% market value to sell on retail BKKT - $300m ATM dilution right now while MC is $550m. Endless dilution machine Walmart - 43 p/e, there's no way. SLNH - Lot of dilution ahead. Palantir - Concern over valuation P/E Coreweave - Concerns over large debt, $1B+ in debt interest hurts FCF a ton. Then there's allocation/buildout for OpenAI, which has extreme, extreme concerns if they can fulfill contract obligations, especially since gemini is taking over market share of openai. Oracle - There might be technical rebound, but seriously, they've spent so much capex just for openai (eg. stargate), and like coreweave, OpenAI, which has extreme concerns over if they can fufill contracts obligations BMNR - endless dilution machine to fund silly projects like $200m into mr. beast's company. Expect long eth staking etfs, short bmnr plays, and premium to go under as $200m cash into mr. beast's company for example is not very liquid. IONQ, RGTI, QBTS - Quantum valuations are very stretched. _ Overall Thoughts: I'm personally staying extremely long, this is just personal thoughts NFI. A lot of small caps and speculative companies have already been re-rated since Jan 1st and I don't expect many of the 50-100% moves to continue (we've seen a lot of profit taking Friday on some of these names). That being said, Trump is trying to cut rates even more (another 2-3x projected), esp. since Midterms is coming up. SPY Up = better chance of getting elected. So I'm staying very long until after Midterms. That being said a lot of this helps growth, speculative companies etc. But we're already seeing this largely priced in like Rocketlab, one of my favorite longs, reaching $45B+ MC off $155m quarterly revenue, so I'm questioning valuations a bit -> pivoting a lot of positions into more value (eg. software drop or memory supercycle). Thematically I'm extremely bullish on - AI, Memory, Semis - Bottlenecks - Critical Materials, etc. Very bullish on - Made in America supply chains Bullish on - Defense Sector And would look for swing trades/recovery/re-rating for stuff like software to social media companies around now given the recent selloff.
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反思未在META跌至603美元时加大买入力度。
@pepemoonboy 我本应在 $META 跌至 603 美元时更多地通过成本平均法(Cost Averaging)买入。 https://t.co/6LEijFygpy
英文原文
@pepemoonboy I should have cost averaged $META more on the drop to $603. https://t.co/6LEijFygpy
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分享短线交易获利及新建仓的持仓操作
@charlieliner 太棒了！像 $LPTH 这样的标的从 -5% 反弹至 +7%，这 6 小时的买入操作利润丰厚。 我自己也建仓了 $FIG，并定投(DCA)了 $META（尽管我原本告诉自己不会买软件类股票）。 好奇看看结果如何 https://t.co/FHRRQrj0Ub
英文原文
@charlieliner Nice! Going from -5% to +7% on some of these names like $LPTH was extremely profitable 6 hour buy. I ended up initiating $FIG positions myself and DCA $META (even though I told myself I wouldn’t buy software stuff). Curious to see how that turns out https://t.co/FHRRQrj0Ub
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博主坦言难以抗拒将仓位全仓转入Meta的诱惑。
@CB3409 我确实睡觉，但当我想把仓位全部转入 $META 的诱惑袭来时，这很难做到。
英文原文
@CB3409 I do sleep, but it’s hard to when I get the temptation to just full port it into $META
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巨头垂直整合软件，投资无法整合的瓶颈环节更优。
虽然我喜欢 $PDYN，因为它能填补像 $RCAT 和 $DPRO 这样的小公司留下的空白，但在这里它们没有用武之地。 我关注的是波士顿动力、特斯拉、Figure 等机器人的规模化扩张。它们都像 $TSLA 的 Dojo AI5 + XAI 那样垂直整合自己的软件。 $META 等巨头没有任何动力将它们的软件栈交给 $PDYN。 它们都尽可能地进行垂直整合，因此，如果你能 pinpoint（锁定）那些在无法垂直整合的环节拥有有效垄断（即“瓶颈”）的公司，那么随着这些公司规模的扩大，投资这些瓶颈环节应该会获得回报。
英文原文
So while I like $PDYN since they fill in the gaps with smaller companies like $RCAT and $DPRO. They have no role here. I'm focused on robotics scale-up with Boston Dynamics, Tesla, Figure, and others. They all vertically integrate their own software, like $TSLA Dojo AI5 + XAI. There's 0 incentive for any of these giant companies from $META and others to give their software stack over to $PDYN. They all try and vertically integrate where they can, so if you pinpoint the companies that have effective monopolies "aka. bottlenecks" where they can't, then investing in those should be rewarding as these companies scale up.
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看好LPTH因美供应链垄断优势，担忧META受地缘政治影响。
太棒了！$LPTH 是我 2026 年目前为止最喜欢的多头持仓！我从未想过能找到能击败 $NBIS 的东西。 它比 $AXTI 更安全，因为这次是美国供应链，同时也在这个瓶颈修复方案上拥有垄断地位。 顺便说一句，我的 $META 仓位正在被重创 lol。美国即将入侵伊朗 + 战争通常会导致除国防、石油和安全股以外的任何股票抛售。
英文原文
Nice! $LPTH is my favorite long of 2026 so far! I never thought I’d find something that would beat $NBIS. It’s also safer than $AXTI since it’s US supply chain this time but also has a monopoly over this bottleneck fix. On a side note, my $META positions are getting wrecked lol. Imminent US invasion of Iran + war usually causes a selloffs of anything non defense, oil, and safety stocks
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对比META与WMT估值，指出市场存在定价错误。
他们的广告业务正在增长 -> 自由现金流(FCF)足以支付任何资本支出(Capex)。上季度FCF超过100亿美元，但所有人却对支出感到恐慌。 $META 同比增长26%，远期市盈率(Forward P/E)为18.9倍。 $WMT 的增长与通胀持平，远期市盈率却超过40倍。 目前市场存在一些定价错误。
英文原文
They're growing ads -> FCF would pay for any capex. FCF was $10B+ Last quarter yet everyone was scared for their lives on spend. $META is growing 26% Y/Y and their forward P/E is 18.9X. $WMT is growing in line with inflation with a forward P/E of 40x+. There's just some mispricing in the market right now
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分享利用期权杠杆捕捉大盘股波动以获取非对称收益的策略。
好问题！中小盘领域并不总是存在极高Alpha/高确信度/非对称性的机会。 但如果我看到机会，即使是像 $META 这样的大盘股，我也会抓住。上次我这样做是在 $GOOGL 145美元时。 你也可以通过保证金/期权将低风险转化为高风险。 因此，如果正确判断雪佛龙 $CVX 2%的波动，由于期权未充分定价波动，回报可能达到30%。 在这种情况下，如果 Meta 下跌20-30%并通过期权反弹，那将是百分之几百的收益。
英文原文
Great question! There's not always an extremely high alpha/high-conviction/asymmetric opportunity out there in the small-medium cap world. But if I see an opportunity, even with big caps like $META, I'll take it. Last time I did was with $GOOGL at $145. You can also turn lower risk into higher risk with margin/options. So getting a 2% Chevron $CVX movement correctly might be 30% return since options don't price in much movement. In this case with Meta, if it sells off over 20-30%, and it rebounds with options, that would be a few hundred percent gain.
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Meta 资本支出叙事被高估，AI 投资回报率高，预期利润增长将扭转市场看法。
我的观点是，在财报发布后的最初几秒内，$META 的下跌是一场算法闪崩，原因是 BBB 未被标准化（尽管 Meta 在所有方面都超预期）。 抛售发生后的几分钟内，新闻开始铺天盖地地报道 Meta 因资本支出“担忧”而下跌，而不是报道其业绩超预期。这成为了市场叙事。但事实上，即使有“疯狂”的支出，Meta 上季度仍产生了 106 亿美元的自由现金流(FCF)。 你说得对，分析师们忽略了这一点。但自那以后，维持 META 当前股价的是叙事/表象，而非数字（186 亿美元净利润）。 但我会说，这次的情况类似于当时所有人都说 $GOOGL 搜索业务正在消亡的时候。我记得在 145 美元时做多 Google，因为数据表明事实并非如此。 如果我们看现在的数据，所有人都在声称 $META 的资本支出(CapEx)失控（2025 年 720 亿美元，2026 年约 1000 亿美元），并将吞噬所有利润。 然而，$META 上季度以惊人的 26% 速度增长，因为他们自己的 AI 基础设施优化广告收入的回报率目前高于地球上几乎任何其他投资，所以我不认为他们需要给出其他答案。只需指向营收增长/净利润即可。 当每股收益(EPS)从 1.05 美元增长到预计的约 8.30 美元（季度跳跃 690%）时，我认为叙事将转变为他们的利润 > 资本支出。 分析师（Cantor Fitzgerald, Rosenblatt, Wedbush）一直给出 2026 年 800–1,100 美元的目标价(PT)，有时只需要下一次财报带来的叙事转变。但我们将看看这是否正确。
英文原文
So my thesis was that during first few seconds, $META post-ER was an algorithmic flash crash from BBB not being normalized (despite Meta beating on all fronts). Minutes around the selloff, news started posting everywhere Meta was dropping due to capex "fears", rather than posting their earnings beats. And that became the narrative. But in reality, even with the "insane" spending, Meta generated $10.6B in FCF last quarter. You're right analysts look past that. But ever since then it became narrative/optics rather than numbers ($18.6B net profit) that kept META where it;s at now. But I'd say this time is similar to when everyone was saying $GOOGL search was dying. I remember entering Google longs at $145 because the numbers were saying otherwise. If we look at the numbers now, everyone is claiming $META CapEx is out of control ($72B in 2025, ~$100B in 2026) and will eat all the profits. Yet $META grew at astounding rates with 26% last quarter because the ROI on their own AI infra for optimizing ad revenue is currently higher than almost any other investment on earth, so I don't quite think they need an answer. Just point to revenue growth/net profit. And when they go from a $1.05 EPS to a projected ~$8.30 EPS (690% quarterly jump), I think the narrative will change that their profits > capex. Analysts (Cantor Fitzgerald, Rosenblatt, Wedbush) have are been giving $800–$1,100 PTs for 2026, sometimes all it takes is a narrative shift from their next er. But we'll see if this is right or not.
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META基本面强劲，当前低估值源于会计处理导致的表象问题，极具买入价值。
$META 对我来说看起来是一个极具吸引力的买入机会，因为这似乎是一个光学（市场情绪/表象）问题，而非基本面问题。上个季度，他们实现了高达 186 亿美元的净利润，但由于一次性会计处理（BBB），报告的收益仅为 27.1 亿美元。尽管人们因 AI 资本支出（Capex）而对自由现金流（FCF）感到担忧，但从数字上看，他们依然拥有惊人的盈利能力。当人们看到在不进行税收正常化（Tax Normalization）的情况下，收入环比增长超过 700% 时，这种市场情绪应该会反向发挥作用。
英文原文
$META seems like a screaming buy to me, as this looks like an optics issue rather than fundamentals. Last quarter, they had a whopping $18.6B in net profit but reported $2.71B from BBB one time accounting. Everyone was fearful of FCF due AI capex but numbers wise they’re still wildly profitable. Should work in reverse with optics when people see a 700%+ q/q income growth when they don’t do tax normalization.
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认为$META盈利强劲，且走势与去年相似，核心在于市场对会计表象的反应。
我认为这很大程度上是由于自由现金流(FCF)/盈利能力的会计表象，但 $META 简直是在印钞。 另外，如果我们看去年的“巫毒图表”（一种非正统的技术分析图表），它与去年10月至11月的下跌以及1月15日之后的反弹惊人地相似。当然，趋势图表分析都是假的，但有时确实有效。 但核心论点仅仅是市场如何对会计表象做出反应。
英文原文
It is, i believe it’s largely due to accounting optics regarding FCF/profitability but $META is just printing money. Also if we voodoo chart from last year, it looks shockingly similar with a drop from oct-> Nov and rally Jan 15th onward last year. Again, trend charting is all fake but they do work out sometimes. But main thesis is just how markets react to accounting optics.
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Meta盈利被会计手段掩盖，预计下季叙事反转。
$META 的盈利能力简直惊人。但这只是叙事。 当我在 145 美元买入 $GOOGL 多头时，尽管数据表明事实并非如此，但所有人都说搜索业务正在消亡。 在 Meta 的案例中，他们正在疯狂印钞，而这只是表面现象。上个季度的净利润本应为 186 亿美元（大幅超预期），但由于“美好法案”（big beautiful bill）的影响，报告值仅为 27.1 亿美元。 我猜测，当他们在下个季度通过会计手段进行反向操作（reverse uno）以优化表面数据时，市场叙事将再次改变。 只是想发个帖子看看我的预测是否正确。
英文原文
$META is insanely profitable. That’s just narrative. When I bought $GOOGL longs at $145 everyone was saying search was dying even though numbers say otherwise. In Meta’s case they’re printing money and this is just optics. Net income last quarter would be $18.6B (large beat) but reported was $2.71B from big beautiful bill. My guess is when they play reverse uno, with accounting optics next quarter the narrative changes again. Just wanted to post to see if it turns out right
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因算法对EPS波动的反应及Q4季节性利好，在625美元加仓META。
我在 $META 625美元处加仓了。 我的理论是： 《大而美法案》(Big beautiful bill) 搞砸了他们上次财报，尽管业绩超预期。 这引发了投机性的算法抛售，因为每股收益(EPS)看起来人为偏低（环比下降80%）。 下一次财报将反向运作。 第四季度(Q4)财报 -> EPS看起来人为偏高（例如环比增长700%+）-> 高频交易(HFT)算法买入股票。 Meta 同比增长26%，尽管资本支出(capex)巨大，但盈利能力极强。 第四季度的季节性因素（例如假日广告收入）也应该是一个助推器。 鉴于16日有大量未平仓合约(open interest)以及潜在的美伊冲突，很难精准抄底，但这里看起来是一个很好的多头(long)机会。特别是如果我想交易算法对会计因素(accounting alpha)反应带来的阿尔法收益。 听起来很蠢，但市场有时就是这样运作的，看重表象(optics)。我们看看是否正确。
英文原文
I added positions in $META at $625 My theory: Big beautiful bill wrecked their last earnings despite record beat. This caused an speculated algorithmic selloff from artificially low looking EPS (-80% drop) This works in reverse for next earnings. Q4 earnings -> EPS looks artificially high (eg. 700%+ q/q growth)-> HFT algorithms buy stock. Meta grew 26% Y/Y and is stupidly profitable despite any capex spend. Seasonality from Q4 (eg. Ad revenue from holidays) should also be a booster. Hard to bottom time given large open interest on 16th and potential Iran US conflicts, but looks like a great long here. Especially if I want to trade the accounting alpha in how algorithms react. Sounds really stupid but markets work that way sometime with optics. We’ll see if it’s right or not.
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$AXTI因出口管制成InP垄断者，控制AI光子学双瓶颈，作者买入。
为了提供一些背景：存在两个不同的瓶颈，$AXTI 正处于这两个瓶颈之间。 磷化铟(InP) 原料——双寡头垄断（至关重要，$AXTI 与中国控制着约 78%-80% 的供应）。像 $DOWA 这样的公司相对产量极低。 磷化铟(InP) 衬底——垄断（$AXTI）。此前是双寡头（$AXTI 和住友电气 Sumitomo Electric），占据 60-70% 的 InP 衬底产量，其他日本公司如 JX 贡献的量微乎其微。然而，两天前实施的出口管制限制了向住友及生产 InP 衬底的日本公司供应原料和关键材料，情况发生了改变。 他们虽有库存，但随着出口管制持续，他们将缺乏大规模生产衬底所需的材料，$AXTI 将在 3-6 个月内成为垄断者，这就是上述框架的由来。 这不是数量游戏。这是基于有限材料的价格挤压博弈论。$AXTI 拥有从矿产开采、精炼到衬底生产的全链条供应链及成本结构。 这将转化为利润率。你之前看到的是数亿美元的市场规模(TAM)，现在仅因 $GOOGL TPU、$MSFT Maia、$NVDA、$META 等光子学 AI 建设所需的纯粹必要需求，就可能膨胀至 100 亿美元以上。 这家市值 10 亿美元的公司控制了 AI 建设的两个不同瓶颈。我像早期在 HBM 领域买入 $MU 和 $SNDK 那样买入瓶颈环节，我不试图说服你也这样做，只是分享我的投资论点。
英文原文
Just to give some perspective: There's two different bottlenecks. $AXTI sits in the middle of two. InP Feedstock - Duopoly (Vital, $AXTI with China controlling ~78%-80% of supply). Companies like $DOWA produce extremely low amounts relatively. InP Substrates - Monopoly ( $AXTI ). Formerly it was a duopoly ( $AXTI, Sumitomo Electric) with 60-70% of InP substrate production. With misc Japanese companies like JX contributing much tinier amounts. However this changed with export controls 2 days ago restricting feedstock and critical material supply to Sumitomo and Japanese companies that produce InP substrates. They have inventory, but with the export controls continuing, they will lack the materials to produce substrates at scale and $AXTI becomes the monopoly in 3-6 months, hence the framing. This is not a quantity game. This is game theory on price squeezes based on limited materials. $AXTI owns the mineral mines all the way to refining -> substrate production and the supply chain + cost structure. This translates into margins. You were looking at few hundred million TAM that could now inflate to $10B+ just due to pure necessary required for $GOOGL TPUs, $MSFT maia, $NVDA, $META, and so no AI buildout with photonics. This $1B company controls two different bottleneck for the AI buildout. I'm buying into the bottleneck like what happened at the start with HBM with $MU and $SNDK, I'm not trying to convince you to as well, just sharing my thesis.
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AXTI垄断InP成AI基建单点故障，市场开始关注。
$AXTI 在磷化铟(InP)领域实际上处于垄断地位，且在中国对日本实施出口管制禁令后，成为以下 AI 基础设施建设中唯一的单点故障(Single Point of Failure)环节： - 英伟达 Nvidia ($4.6T) - 微软 Microsoft ($3.59T) - Meta ($1.64T) - 亚马逊 Amazon ($2.57T) - 谷歌 Google ($3.89T) 看来市场开始意识到这一点了。https://t.co/rxGkcHYBtS
英文原文
$AXTI is effectively a monopoly for InP, and the single point of failure for the AI buildout for: - Nvidia ($4.6T) - Microsoft ($3.59T) - Meta ($1.64T) - Amazon ($2.57T) - Google ($3.89T) after China's export control ban on Japan. Looks like markets are starting to find out. https://t.co/rxGkcHYBtS
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材料价格创历史新高，西方公司支付溢价，超大规模厂商尚未开始大规模采购。
@itsthesquonky 我会再给它几个月时间。你已经可以看到材料价格触及历史高点(ATH)，西方公司正在支付巨额溢价。 这还是在产能爬坡(pre-ramp)之前，$MSFT、$AMZN 和 $META 甚至 barely 开始。（$NVDA 预订了产能，造成了最初的冲击）
英文原文
@itsthesquonky I’d give it a few months. You can already see material prices hitting ATHs, with Western companies paying large premiums. This is pre-ramp too, $MSFT, $AMZN, and $META barely even started. ( $NVDA booked out capacity, causing the initial shock) https://t.co/rEG5X7Co81
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AXTI成InP衬底垄断瓶颈，估值偏低，建议关注其作为AI光学关键标的的投资价值。
$AXTI 在中国通过出口管制重创日本磷化铟(InP)衬底供应链后，实际上已成为一个单点故障垄断者。未来的AI基础设施建设依赖于光学技术。AXT目前的估值为11亿美元，考虑到其对$NVDA、$GOOGL、$MSFT、$META等公司的重要性，我觉得这个估值小得可笑。当然，如果中国限制AXT的出口，下游超大规模云服务商将面临更严重的问题。但是否值得买入这个瓶颈环节，由你决定。
英文原文
$AXTI is effectively a single point of failure monopoly after China crippled Japan’s InP substrates supply chains with export controls. The future AI buildout relies on optical. AXT is valued at $1.1B currently, which I find hilariously small given the importance to $NVDA, $GOOGL, $MSFT, $META and so on. Of course if China restricts exports from AXT there are bigger things to worry about since this flows downstream to hyperscalers. But I’ll let you decide if it’s worth buying into the bottleneck.
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2026年1月1日美股评级：推荐SMCI、INTC等复苏及AI基建标的，回避高估量子及零售股。
欢迎来到2026年。1月1日评级： 强烈买入： $TTD $SMCI $AIRO $INTC $HIMS $AXTI $TSM $NBIS $CIFR 三星电子 (KRX: 005930) $HUT $IREN $WULF $GLXY $TSSI $META $ETOR $CRCL 买入： $KRKNF $ONDS $GEMI $NVDA $MU $AMKR SK海力士 $SNAP $RDDT $AAOI $COHR $FISV $FLY $DJT $LITE $AMZN $MRVL $AVGO $OSS $BULL $ORCL $CRDO $ALAB 回避： $RGTI $QBTS $RGTI $BMNR $ETH $PLTR $WMT _ 简而言之的想法： TTD - 估值完全重置，年初至今下跌67%，叠加年底税务抛售。进入2026年是极佳的复苏标的。 SMCI - 仅因推迟一个季度以符合新Blackwell规格而交易得像一家困境公司。前瞻收入同比增长50%，市销率(P/S)接近0.5。税务收割后的极佳复苏标的。 AIRO - 资产负债表约1/6为现金。随着政府加速投资，无人机领域备受追捧。另一只被抛售的IPO新股。进入2026年，尤其在热门细分领域，是极佳的复苏标的。市销率约3.8倍，相比ONDS的25-30倍市销率，当然其教育等业务对利润率计算有很大干扰。 INTC - 它实际上已成为美国政府的半导体臂膀。超大规模云厂商很可能被激励（强烈施压）在有机会时优先使用Intel而非TSM、三星等。我不会赌美国政府会输。 HIMS - 进入2026年前大幅抛售。从70多美元下跌。销售/流量下降，但Zava收购/增长应在2026年带来巨大顺风。尤其是有数亿美元回购，前两个月是强劲的复苏标的。 AXTI - 之前发过相关论点。CEO称“40%的磷化铟(InP)供应链”，InP将是2026-2027年超大规模AI建设中的巨大瓶颈，直到2028年有足够时间通过工程手段绕过它。 TSM - 我引用过很多次。利润率提升。需求最大化。未来几年极好的复利增长者。 三星电子 - 受益于代工/存储。在所有顺风助力业务方面简直是金蛋。 NBIS - 极强买入，$7-90亿年度经常性收入(ARR)，它实际上是5家不同公司，每年三位数增长。管理层引用20-30%息税前利润(EBIT)率，这只是等待游戏。 CIFR, HUT, IREN, WULF, GLXY - 整个数据中心板块在Oracle/OpenAI担忧后极度超卖。OpenAI最近融资$400亿，$AMZN再投$100亿等。因此关于资本支出(Capex)的担忧已大幅降低风险。这也是多方面的，例如比特币下跌影响$CIFR资产负债表，$GLXY在加密领域。但总体而言，新云(neoclouds)板块有巨大的复苏/扩张潜力。 TSSI - 类似SMCI。递延收入=核弹级利空。税务收割后应恢复，且大量收入将被确认。 META - 财报后因一次性税务问题遭遇巨大算法抛售。他们还削减了现实实验室等部门的资本支出/运营支出，这应为2026年的每股收益(EPS)带来巨大顺风。 ETOR - 市值$28亿，坐拥$12亿现金，仍保持双位数同比增长。$1.5亿回购应是不错的顺风，且年初至今表现带来的税务收割效应应会消退。 CRCL - 稳定币论点在2026年应非常稳固。 买入 KRKNF - Anduril合作伙伴+规模。2026年可能转板，国防支出带来大量顺风。 ONDS - 收入增长极具爆炸性，到处都有新的$1000万合同。大量现金余额资助研发。市销率很高，但该领域的投机性领导者如RKLB有估值溢价。 GEMI - 通常我不喜欢交易所，但Gemini从$30+ IPO跌至$10以下。极佳的复苏标的。 NVDA - 巨大的积压订单。大家都知道Nvidia的牛市逻辑。 MU - 存储火热。 SK海力士 - 存储火热。 AMKR - 受益于“美国制造”芯片生产扩张。 SNAP - 存储运营支出削减，存储货币化增加收入，Perplexity贡献$4亿。季度收入$15亿。如果他们将所有这些转化为$10亿+自由现金流(FCF)/年，即使收入完全停止增长，也会完全重估Snap。 RDDT - 说实话，未来10+年不会消失。它是社交媒体界的Robinhood，通过新的收入货币化方式极速增长，且极其盈利。 AAOI - Amazon, MSFT ASIC规模化的互连标的。 COHR - 受益于下一代ASIC的光子学部署。 FISV - 财报后抛售过多，税务收割后是强劲的复苏标的。 FLY - SpaceX IPO带动太空领域火热。税务收割结束后应表现良好，且即将有Northrop的中期催化剂。 DJT - 我从没想过会把它放在这里，但这只是因为他们的TAE合并。 LITE - Google TPU部署带来巨大的物料清单(BOM)，估值有吸引力。Google TPU修正预估后轻微抛售，但它基本存在于每个超大规模ASIC部署中。 AMZN - 七大科技巨头中估值不过高的一个。 MRVL - 分析师误导导致抛售，进入2026年强烈买入。尤其是MSFT Maia收入翻倍时，Marvell当前收入也将随之增长。 AVGO - 像NVDA一样，随着AI基础设施部署加速，强劲的长期持有标的。 OSS - 我曾发帖推测他们是Anduril的供应商之一。但无论如何，边缘计算在2026年将很火热，其1.8亿市值呈现有吸引力的上行空间。 BULL - 类似Robinhood，拥有巨大用户群，但他们只需找出货币化方法。 Oracle - 我认为抛售过多。几个月前我将其列入回避，但从$330跌至$190后，尤其在OpenAI再融资$400亿后，再次具有吸引力。 CRDO - 极高利润率，数据中心部署所需的必要连接。 ALAB - 极高利润率，数据中心部署所需的必要连接。 回避： 有很多在“高估名单”上的东西，比如$RKLB，我喜欢但除了这些之外我不会说回避它们。 RGTI, QBTS, RGTI - 量子名称仍然高估，且可能在未来几年无法交付自由现金流。 BMNR, ETH - 如果你看过我的ETH帖子，我不太看多，因为每天ETH燃烧量只是个位数到低双位数，这简直是笑话。 PLTR - 最被高估的AI名称之一。 WMT - 这怎么是40倍市盈率？这是沃尔玛？ __ （这些基于今日价格） 简而言之： Circle, Etoro, AIRO, Klarna, Figma等IPO名称在下跌+税务收割后进入2026年呈现有吸引力的上行空间。 大量如SMCI, HIMS等过去3个月下跌约40%的名称，在税务收割+一月效应后是极好的波段/复苏交易标的。 许多如FiserV或The Trade Desk等暴跌的名称在税务收割后也是良好的复苏交易标的。 许多数据中心股票如nebius, iren, cifr, wulf, galaxy也是极好的复苏交易标的。 许多其他领域如存储、瓶颈、光子学等在2026年只是极好的长期持有标的，尽管各自都触及历史新高。 仍有相当多高估的名称，从量子到某些太空股票（如planet或rocketlab），特定AI名称如Palantir到零售股票如沃尔玛，我可能会暂时回避，直到有轻微回调。 这只是一个简而言之，如果我仅做短期交易（非长期），但欢迎提问。
英文原文
Welcome to 2026. Jan 1st ratings: Strong Buy: $TTD $SMCI $AIRO $INTC $HIMS $AXTI $TSM $NBIS $CIFR Samsung Electronics (KRX: 005930) $HUT $IREN $WULF $GLXY $TSSI $META $ETOR $CRCL Buy: $KRKNF $ONDS $GEMI $NVDA $MU $AMKR SK Hynix $SNAP $RDDT $AAOI $COHR $FISV $FLY $DJT $LITE $AMZN $MRVL $AVGO $OSS $BULL $ORCL $CRDO $ALAB Avoid: $RGTI $QBTS $RGTI $BMNR $ETH $PLTR $WMT _ TLDR thoughts: TTD - Complete valuation reset dropping 67% YTD, compounded by EOY tax sell-off. Great recovery play going into 2026. SMCI - Trades like distressed company just because they delayed revenue by 1 quarter for new blackwell specs. Forward revenue is increasing 50% Y/Y, P/S close to .5 now. Great recovery play from tax harvesting. AIRO - Roughly ~1/6th balance sheet was cash. Everyone seems to be into drones, especially with accelerated gov inevstments. Another IPO name that got sold off. Great recovery play going into 2026 with esp. hot segment. Roughly ~3.8x P/S compared to ONDS trading at 25-30 P/S, but obviously there's quite a lot of other businesses like their education sector which messed up margin calculations quite a bit. INTC - It's literally become the semi arm of the US government. Hyperscalers will likely be incentived (strongly pressured) to use Intel whatever chance it gets over TSM, Samsung, etc. I would not bet against the US government. HIMS - Huge selloff going into 2026. Down from $70's. Sales/Traffic is down, but Zava acquisition/growth should add a huge tailwind going into 2026. Esp. with few hundred mill buybacks, strong recovery play first two monts in. AXTI - Posted thesis on this earlier. CEO - "40% of Inp supply chain", InP will be a huge, huge bottleneck for hyperscaler AI buildout 2026-2027 until there's enough time to engineer around it in 2028. TSM - I've covered this quote a lot. Increasing margins. Maxed out demand. Just extremely good compounder next few years. Samsung Electronics - benefits from foundry/memory. just golden egg regarding all the tailwinds helping the buisness. NBIS - Extremely strong buy, $7-9B ARR, it's literally 5 different companies growing triple digits Y/Y. management quoted 20-30% EBIT margins, it's just a waiting agme. CIFR, HUT, IREN, WULF, GLXY - Whole datacenter space is extremely sold off after Oracle/OpenAI fears. OpenAI recently raised $40B, another $10B from $AMZN, and more. So a lot of fears regarding capex spend has been de-risked. It's multifaceted too, eg. Bitcoin drop, affects $CIFR balance sheet, $GLXY in crypto space. But generally huge recovery play/ramp for neoclouds sector. TSSI - Similar to SMCI. deferred revenue = nuke. Should recover after tax harvesting + lot of revenue gets recognized META - Huge algorithmic selloff post earnings due to one-time tax. They also cut capex/opex spend of their reality labs and other departments and this should be a huge tailwind for EPS going into 2026. ETOR - Literally sitting on $1.2B with a $2.8B marketcap and growing double digits Y/Y still. $150M buyback should be a nice tailwind, and tax harvesting from YTD performance should subside. CRCL - Same as stablecoin thesis should be really solid going into 2026 Buy KRKNF - Anduril partner+ scale. Probable uplisting in 2026, lot of tailwinds from defense spending. ONDS -pretty explosive revenue growth, new $10m contracts left and right. large cash balance to fund r&d. Pretty high p/s but there's valuation premiums for speculative leaders in the space like rklb. GEMI - So i typically dont like exchanges, but gemini got nuked from $30+ IPO sub $10. pretty solid recovery play. NVDA - Huge backlog lol. Everyone knows bull case for nvidia MU - Memory is hot SK Hynix - Memory is hot AMKR - benefits from "made in america" chip expansion in prod. SNAP - Opex Cut from memory, increase revenue from memory monetization, $400m from perplixity. $1.5B revenue/quarter. They could literally stop growing revenue complelty if they convert all of that to $1B+ FCF/year, it would re-rate snap completly. RDDT - This is not going anywhere for the next 10+ years tbh, it's like robinhood of social media, growing extremely fast from new ways to monetize revenue, and just extrmeely profitable. AAOI - interconnect play for amzn, msft asic scale up. COHR - benefits from photonics rollout for next gen asics. FISV - Nuked a bit too much post ER, strong recovery play esp. post tax-harves.t FLY - Space is hot from SpaceX IPO. Should do well given tax harvesting is over, and they have medium lift coming up with northrop. DJT - I never thought i'd put this here lol, but this is just because of their TAE merger. LITE - Large BOM from Google TPU rollout, attractive valuation. Slight selloff after Google TPU revised est. but it's basically in every single hyperscaler asic deployment. AMZN - one of the mag7 that's not overvalued MRVL - Selloff from analyst misinformation, strong buy going into 2026. Especially with msft maia revenue doubling Marvell's current revenue when it ramps up AVGO - Like NVDA just strong long, as AI infrastructure deployment ramps up OSS - I made a post speculating that they're one of andruils' suppliers. but regardless, edge computing will be hot 2026 and its 180m mc presents attracctive upside. BULL - similar to robinhood where they have a huge userbase, but they just need to figure out monetization Oracle - Sold off a bit too much imo. I put this on avoid months ago but after the from from $330 to $190, it's more attractive again esp. after openai raised another $40B CRDO -extremely high margin, necessary connectivity for dc rollout ALAB - extremely high margin, necessary connectivity for dc rollout Avoid: There's a lot of stuff on the "overvalued list" like $RKLB that i like but I wouldn't quite say avoid it either aside from these. RGTI , QBTS, RGTI - Quantum names are still overvalued and likely won't deliver fcf in the next few ytears. BMNR, ETH - if you saw my eth post, not exactly bullish since the amount of ETH burn is just single-low double digits every day, which is a joke. PLTR - one of the most overvalued ai names WMT - How is this 40 p/e? This is Walmart? __ (these are based on today's prices) TLDR: IPO names like Circle, Etoro, AIRO, Klarna, Figma, present attractive upsides post drop + tax harvesting going into 2026. Tons of names like SMCI, HIMS that dropped 40% or so past 3 months, are amazing swing/recovery trades post-tax harvest + Jan effect. Lot of the names that doom dropped like FiserV or The Trade Desk present good recovery trades too post-tax harvest. Many datacenter stocks like nebius, iren, cifr, wulf, galaxy, are amazing recovery trades too. Lot of other segments like memory, bottlenecks, photonics, and others are just great longs in 2026, despite each hitting ATHs. There's still quite a lot of overvalued names from Quantum, to certain Space stocks (eg. planet or rocketlab), specific AI names like Palantir to retail stocks like Walmart that I would probably avoid for the time being until there's a slight correction. This was a TLDR just if I'm short term trading-only (not long term) but feel free to ask questions.
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驳斥MRVL被取代谣言，指出物理限制使其无法短期切换，视抛视为买入良机。
终于深入研究了 $MRVL。 我的第一反应：市场和分析员/新闻到底在抽什么？ 来自 Maia 量产的收入几乎是 $MRVL 2025 财年总收入的两倍。 看数据，这令人震惊： 富邦 (Fubon) 预计 Marvell 仅在 2027 年微软 Maia 量产中就能获得 100-120 亿美元的收入。 作为对比，Marvell 2025 财年收入为 57.7 亿美元。 无论如何看，Marvell 看起来都是博通 (Broadcom) 的强劲竞争对手（在收购 Celestial 之后），也是一个极佳的长线标的。 但是... The Information / Benchmark 发布了新闻称： - 微软正在与博通谈判，以在未来几代产品中取代 Marvell。 - 亚马逊 Trainium 3 和 4 的设计流向了台湾竞争对手 Alchip Technologies。 导致股价大幅抛售。 深入研究后，这怎么可能呢？ “Marvell Technology 股价下跌，因为 Benchmark Equity Research 下调评级， citing 失去亚马逊 AI 芯片业务。” “Benchmark 认为 Marvell 输给了 Alchip，尽管 Marvell 最近预测数据中心增长强劲。” - Trainium 3 的生产已锁定 Marvell 的设计。如果不从头设计全新芯片，你无法“切换”到 Alchip。如果要共享范围，当然可以，但措辞简直糟糕透顶。 $MRVL 已经获得了 $AMZN 整个 2026 年的 Trainium 3 订单，亚马逊为什么要取消所有订单然后选择新供应商？ 可能有不同的范围、额外的设计服务等，但所有新闻的框架听起来像是 $MRVL 被取代了。 Benchmark 自己在造成损害后（通过更多“行业讨论”）大幅收回了说法，称 Marvell 并未完全失去 Trainium 3/4，而是亚马逊增加了 Alchip 作为额外设计支持，而 Marvell 仍保留地位。 但股价已经受损。 至于 The Information 关于 $MSFT Maia 输给博通的报道，这是煽动性新闻。 摩根大通 (JP Morgan) 后来直接出来基本说这是假的，“没有 ASIC 项目份额损失”。 在微软交易上，市场完全错过了“立即取代”和“未来几代”讨论之间的细微差别。 物理规律使得从 Maia 到博通的立即切换不可能，除非有惊人的多年延迟。 现在用博通取代 Marvell 的 Maia 300 需要废弃整个 2nm 掩模集，重新设计 I/O 环，并重启 3 年的验证周期。Marvell 特定的 SerDes IP 也嵌入在芯片的 I/O 环中（重定时器和交换机通信）。如果微软目标是在 2027 年量产 Maia 300，芯片必须在 2026 年中后期进入验证阶段。这意味着物理设计今天已经冻结或接近冻结。 今天（2025 年 12 月）与 $AVGO 的新 ASIC 设计将面临以下最短时间线： - 架构与 RTL（12 个月）：逻辑定义和 IP 选择。 - 物理设计到流片（9-12 个月） - 掩模生产与晶圆厂（3-5 个月）：TSMC 2nm 周期。 - 硅后验证（6-9 个月） 总时间：~30-38 个月。 即使加快几个月，这些“与 $AVGO 的讨论”最早也要到 2028 年才能大规模部署。为了赶上 2027 年的量产时间表，微软必须出货 Marvell 的设计。 此外，微软的机架基础设施使用 Marvell 的“Alaska”重定时器和 DSP 在电缆中。 微软必须： - 重新认证机架中每根电缆和背板的信号完整性。 - 拆下主板上的 Marvell 重定时器并替换为博通版本 还要更改他们的定制液冷机架“sidekick”，这是针对 $MRVL Maia 芯片特定版图分布指定的。$AVGO 芯片会有完全不同的物理版图和热密度，他们需要重新设计机架。 所以当市场计入立即取代风险并基于 TMZ 式的讨论八卦谣言交易时，他们完全是在开玩笑，谣言称微软想探索选项。 $MRVL CEO 甚至出面表示他们手中握有明年全年预测的“采购订单”。2026 年的预测可能偏低，因为 $AMZN 和 $MSFT 的量产都面临延迟。 但如果你看长期 Q4 2026 到 2027，仅从他们的订单和 Maia 300 来看：即使仅估计 ~200 亿美元收入带来 7.72 美元每股收益，30 倍市盈率（之前交易在 35-40 倍），如果是两年后等待，股价将从 85 美元涨到 231.60 美元/股。 所以 TLDR：整个“取代”理论被极其完全地误解了，只是噪音。通常我不会为此写整篇文章，但看到 The Information 和其他新闻一次又一次出现，通过煽动性措辞传播错误信息，这简直疯了。 中期切换在物理上是不可能的，市场误解了取代。所以最近的抛售看起来是一个坚实的买入机会。 至于未来的讨论，当然任何公司都希望供应商多元化。如果 Meta 想从博通多源采购，$MRVL 也可以对 $META MTAI 未来几代做同样的事。 如果仅按单个项目 Maia 300 建模并忽略媒体噪音，$MRVL 看起来非常有前景。
英文原文
Finally took a deeper look at $MRVL. My first reaction: What are the markets and analysts/news smoking? Revenue derived from Maia ramp is literally double $MRVL's FY 2025 revenue. If we look at the numbers, it's staggering: Marvell is modeled to take in $10-$12B in revenue (Fubon) in Microsoft Maia ramp in 2027. Alone. To put that in perspective, Marvell's FY 2025 revenue was $5.77B. No matter how I look at it, Marvell looks like a strong Broadcom competitor (after Celestial acqusition) and a terrific long. But... The Information / Benchmark released news that: - Microsoft is negotiating with Broadcom to displace Marvell in future generations. - Amazon Trainium 3 and 4 designs went to Taiwanese competitor Alchip Technologies. causing a massive selloff. After looking into it more, how is this even possible? "Marvell Technology declines after Benchmark Equity Research downgrades the stock, citing a loss of Amazon’s AI chip business." "Benchmark believes Marvell lost Amazon’s Trainium 3 and 4 designs to Alchip, despite Marvell’s recent forecast of strong data-center growth." - Trainium 3 production are locked to Marvell's design. You can't "swap" to Alchip without designing an entirely new chip from scratch. If you want to share scope, sure but the wording is absolutely atrocious. $MRVL already secured Trainium 3 orders from $AMZN throughout 2026, why in the world would Amazon cancel them all and then go with a new vendor? There can be different scope, additional design services, etc. but the framing from all the news sounds like $MRVL is being displaced. Benchmark itself later walked it back materially after causing damage (via more "industry discussions") and said Marvell did not lose Trainium 3/4 outright, but that Amazon added Alchip for additional design support while Marvell retains a position. But the damage has already been done to stock price. As for The Information report on $MSFT Maia loss to Broadcom this is sensational journalism. JP Morgan later literally came out and basically said it's all false, "there has been no ASIC program share loss". On the Microsoft deal, markets completely missed the nuance between "immediate displacement" and "future generation" discussions. The physics of this make an immediate swap impossible from Maia to Broadcom without incredible multiple-year delays. To replace Marvell with Broadcom for the Maia 300 now would require scrapping the entire 2nm mask set, redesigning the I/O ring, and restarting a 3-year validation cycle. Marvell’s specific SerDes Is is also embedded in the chip’s I/O ring (retimers and switches comms). If Microsoft targets a 2027 ramp for Maia 300, the chip must be in validation phase by mid-to-late 2026. This implies the physical design is already frozen or nearing freeze today. A new ASIC design with $AVGO today (Dec 2025) would face this minimum timeline: - Architecture & RTL (12 months): Logic definition and IP selection. - Physical Design to tape ot (9-12 months) - Mask prod & Fab (3-5 months): TSMC 2nm cycle. - Post-Silicon validation (6-9 months) Total Time: ~30–38 months. Even if this is sped up by many months, these "Discussions with $AVGO " not be ready for volume deployment until 2028 at the very earliest. To hit the 2027 ramp timelines, Microsoft must ship the Marvell design. Then there's Microsoft’s rack infrastructure uses Marvell’s "Alaska" retimers and DSPs in the cables. Microsoft would have to: - Re-qualify the signal integrity of every cable and backplane in the rack. - Rip out Marvell retimers from the motherboard and replace them with Broadcom versions As well as change their custom liquid-cooling rack "sidekick", which was specified toward specific distribution of the $MRVL Maia chip’s floorplan. A $AVGO chip would have a completely different physical floorplan and thermal density and they'd need to regineer the rack. So market are completely trolling if when they price in immediate displacement risk and trade on TMZ-style discussion gossip rumors that Microsoft wanted to explore options. $MRVL CEO even went out and said they have "purchase orders in hand" for the entirety of the next year's forecast. 2026 forecasts are probably light because $AMZN and $MSFT both faced delays on their ramp. But if you look at longer term Q4 2026 into 2027, we just from their orders and Maia 300 alone: even just estimating $7.72 EPS from ~$20.0B revenue, 30x P/E (they've traded 35-40 before), would be $231.60/share from $85 if you want to wait 2 years. So TLDR: The whole “replacement” theory is extremely completely misinterpreted and is just noise. Normally, I wouldn't write a whole post on it, but seeing The Information and other news pop up again, and again, spreading misinformation through sensational wording is just crazy. There's a physical impossibility of a mid-cycle swap and market misunderstanding of displacement. So the recent sell-off looks like a solid buying opportunity. As for future discussions, of course any company would want vendor diversification. $MRVL can go do the same with $META MTAI future generations too if Meta wants to multi-source away from Broadcom. If you model just by single project Maia 300 alone and ignore media noise, $MRVL looks incredibly promising.
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AI光互连依赖磷化铟，其原料78%在中国，AXTI成关键瓶颈。
“瓶颈中的瓶颈”：磷化铟(InP) $AXTI 和 $SMTOY 构成双寡头。它们控制了全球 60% 以上的磷化铟(InP)衬底，是 AI 建设的关键瓶颈。 更令人警觉的是：这依赖于磷化铟(InP)。 磷化铟(InP)是垄断市场。78% 由 $AXTI 和中国控制。 这就是“瓶颈中的瓶颈”： 磷化铟(InP)衬底市场已是日本和中国实体之间的双寡头。然而，上游激光级原料（如住友所需）的生产主要由 $AXTI（再次出现）和中国公司主导。 主要问题在于： AI 行业极度依赖光子学来实现规模化。无论收发器是“基于磷化铟”还是“基于硅”，光源始终是：磷化铟(InP)。 随着 AI 集群从 1 万颗 GPU 扩展到 10 万颗以上，“铜缆瓶颈”迫使全面转向光互连。这使得磷化铟(InP)对 AI 规模化的重要性超过几乎任何其他单一材料。 此外，激光级原料纯度必须至少达到 6N（99.9999%）。即使是微量杂质（硅、硫、锌）也不像 LED 等其他领域那样可接受。大多数研究可能混淆了激光级原料与普通磷化铟产出。 住友是磷化铟衬底市场最著名的名字。他们在高端激光衬底领域占据巨大市场份额。但贸易数据显示，他们越来越依赖来自 $DOWA 和中国公司的外部磷化铟原料。（由于自有回收和储备，他们可能仍被计入原料所有权列表中） 所以，如果认为整个西方 AI 建设因有一家日本公司作为双寡头之一而感到安全，请三思。 瓶颈的源头被 $AXTI 和中国供应商所瓶颈。 如果我们看生产，以下是深度研究估算的控制权分布： Vital Materials - 35%（现货市场） - Vital 在 2020 年收购凡亚金属交易所库存（3600 吨铟），使其掌控全球铟市场。他们利用这一优势成为最大的磷化铟多晶生产商。主导成本领先者；控制原生铟供应（凡亚库存）。 $AXTI - 25%（北京同美晶体技术） - 主要自给自足。其大部分多晶生产被自家晶体生长炉消耗以制造晶圆。但他们也向现货市场销售原材料和化合物，是混合型玩家。 他们是全球唯一从矿山、精炼厂到磷化铟衬底产出的公司，鉴于他们同时拥有原材料和磷化铟衬底控制权，这是一个绝对疯狂的瓶颈。供应自家晶圆生产；关键的非日本来源。 株洲科能新材料 - 18% - 科能实现了“磷化铟多晶量产”并拥有“高度集成的自动多晶生产能力”。他们是中国铟出口配额的关键接收方。纯合成专家；主要出口商。 然后外部： $DOWA - 12% - 西方公司中最大的供应商（是的，日本）。在采矿（秋田锌）方面根基深厚，因此是高纯度金属有机化合物和化合物的领先供应商。 “日本企业”（住友、JX）的“来源” Wafer Technology Ltd - 5% - IQE plc 的子公司。对于需要非中国原料的北约联盟供应链来说，这是关键战略资产，尽管他们目前正在进行资产清算。 InPACT（法国）- 3% - InPACT 称他们通过高压合成的水平梯度凝固(HGF)生产多晶锭，以满足（诺基亚、爱立信）和一些欧洲国防部门的要求。 世界其他地区 - 2% 这包括主要衬底制造商（Coherent、住友）、小规模研究生产以及试图打破垄断的韩国或台湾新兴玩家。 现实是，全球 78% 的激光级磷化铟原料产能位于中国。 光组件的需求已经以数倍超过供应/生产。这还是在上量之前。整个 AI 建设被两家公司瓶颈。 但 1/4 的材料来自：$AXTI。而约 1/3 的磷化铟衬底产出再次来自激光级原料。 整个 AI 建设依赖于一家随机的 7 亿美元公司，它既是瓶颈中的瓶颈，也是瓶颈本身。 扩大磷化铟衬底和激光级原料的生产既是国家安全问题。
英文原文
"Bottleneck within a Bottleneck": Indium Phosphide $AXTI | $SMTOY is a duopoly. They control 60%+ of the world's InP substrates as the bottleneck of the AI buildout. What's even more alarming? This is dependent on: Indium Phosphide. InP is a Monopoly. 78% control by $AXTI / China. Here's the bottleneck within a bottleneck: The InP substrates is already a duopoly between Japanese and Chinese entities. However, upstream production of laser-grade feedstock required by companies like Sumitomo is dominated by $AXTI (again) and Chinese companies. Here's the major issue: The AI industry is extremely reliant on photonics to scale. Whether, transceivers are "InP-based" or "Silicon-based" the photon source remains: Indium Phosphide. As AI clusters move from 10,000 to 100,000+ GPUs, the "copper bottleneck" is forcing a total shift to optical interconnects. This makes InP more critical to AI scaling than almost any other single material. On top of that, laser-grade feedstock must be at least 6N (99.9999%) pure. Even trace amounts of impurities (Silicon, Sulfur, Zinc), cannot be used like they do in other segments like LED. And most research probably confuses laser-grade feedstock with regular InP outputs. Sumitomo is arguably the most famous name in the InP substrate market. They hold a massive market share in the high-end laser substrate segment. Yet trade data suggest they are increasingly reliant on external feedstock for Indium Phosphide from companies like $DOWA and from China. (They're likely still included in feedstock ownership lists bc of captive recycling and reserves) So if the entire Western AI buildout feels safe regarding a Japanese company as a duopoly, think again. The source of the bottleneck is bottlenecked by Chinese suppliers like $AXTI and Chinese companies. If we look at production there's are estimates from deep research breakdown of estimate controls: Vital Materials - 35% (Merchant) - Vital acquired Fanya Metal Exchange inventory (3,600 tonnes of Indium) in 2020 gave them large control over the global Indium market. They have leveraged this to become the largest producer of InP polycrystal. Dominant cost leader; controls raw Indium supply (Fanya stocks). $AXTI - 25% (Beijing Tongmei Xtal Technology) - Primarily Captive. Most of their polycrystal production is consumed by their own crystal growth furnaces to make wafers. However, they also sell raw materials and compounds to the merchant market, making them a hybrid player. They're the only company in the world that goes from mines, refineries -> InP substrate output, which is an absolutely crazy bottleneck given they own both the raw materials into InP substrate controls. Feeds own wafer production; key non-Japan source. Zhuzhou Keneng New Material - 18% - Keneng has achieved "mass production of polycrystalline indium phosphide" and possesses "highly integrated automatic polycrystalline production capacity". They are a key recipient of China's export quotas for Indium. Pure-play synthesis specialist; major exporter. Then Outside: $DOWA - 12% - The biggest supplier out of any Western company (yeah Japanese). Deep roots in mining (Akita Zinc), so they're the leading supplier of high-purity metal organics and compounds. The "source" for Japan Inc. (Sumitomo, JX) Wafer Technology Ltd - 5% - A subsidiary of IQE plc. Critical strategic asset for NATO-aligned supply chains that require non-Chinese feedstock, even though they're going through asset liquidations right now. InPACT (France) - 3% - InPACT states they produce polycrystalline ingots via Horizontal Gradient Freeze (HGF) using high-pressure synthesis so they meet requirements from (Nokia, Ericsson) and some European defense sectors. Rest of World - 2% This includes major substrate makers (Coherent, Sumitomo), small-scale research production, and emerging players in Korea or Taiwan who are attempting to break the monopoly. The reality is that 78% of the global capacity for laser-grade InP feedstock is located in China. The demand for optical components already exceeds supply/production by multiple factors. This is pre-ramp too. The entire AI buildout is bottlenecked by two companies. But 1/4th of the materials comes from: $AXTI. And ~1/3rd of InP Substrate outputs again comes from laser-grade feedstock. The entire AI buildout is dependent on some random $700m company that serves as both the bottleneck of a bottleneck and the bottleneck. It's both national security issue to scale up InP production both for substrate and laser-grade feedstock.
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InP衬底成AI光互连瓶颈，$AXTI/$SMTOY掌控命脉，2026年或致供应链危机。
“磷化铟(InP)瓶颈”：AI基础设施建设的关键瓶颈解析： $NVDA Blackwell、$META MTAI、$GOOGL TPU 和 $MSFT Maia 的产能爬坡，其未来取决于两家市值仅7亿美元的小盘股 $AXTI 和 $SMTOY。 如果无法解决 InP 问题，AI“增长”故事将在2026年终结。 原因如下： AI行业正开始向光子学迁移，以部署未来的 ASIC/GPU，因为铜互连已触及物理极限。 然而，超大规模云服务商在这样做时，却将命运押注在了 InP（磷化铟）这一通用材料上，而全球仅有少数工厂能以激光器所需的纯度生产6英寸 InP 晶圆。 以 Google 及其 TPU v7 Ironwood 项目为例： Google 使用光电路交换(Optical Circuit Switching, OCS)，简单来说就是由光构成的交换机。Pod 中的每一个 TPU 进行通信都需要基于 InP 的激光器。与 Google 合作的 $LITE 在很大程度上依赖 InP 衬底（如 AXT/住友）来制造这些激光器。 如果没有这些衬底，Google 的整个 Ironwood 项目不仅仅是“放缓”，而是会直接撞墙。 来自 $NVDA GB 系列、$AMZN Trainium、$MSFT Maia、$META MTAI 的现代 ASIC/GPU 都做出了同样的押注：光是未来的方向。 现在，问题出现了。 整个西方 AI 路线图目前都系于一家市值7亿美元的小盘股和一家单一的日本公司，它们生产了全球光子学所需的大部分 InP 衬底。 目前这是一个双寡头格局（粗略估计 AXT + 住友供应约60%），最近的估计显示约70%+的供应来自住友电气、AXT、Freiberger、JX 和 Visual Photonics Epitaxy（填补剩余缺口）。 无论如何，整个未来的 AI 供应链细如针尖： - Moomoo 研究：InP 市场处于“全球争夺”和“严重供应短缺”状态，NVIDIA GB200 的推出（扩展仍需大量 InP，不仅仅是机架内的 NVL72 通信）。 - 高速收发器的需求目前可能超过供应近两倍（LightCounting） - 看到创纪录的预订，但明确“受限于 InP 激光器的供应”（$COHR CEO Q3 财报电话会） - 麦肯锡：800G 模块存在 40% 到 60% 的缺口，1.6T 模块存在 30% 到 40% 的缺口。 鉴于需求的激增，这些报告可能理解得过于保守。即使按照微软对 Maia 爬坡的预测（据 UBS $MRVL 笔记，2027年 Maia 估计超过100万台），加上未来一年超过200万台 1.6T 收发器，这一体量如此之大，代表了全球衬底产量的双位数百分比。 AI 预期的“指数级增长”即将与关键材料生产的现实发生碰撞。因此，“Ironwood”、“MTIA”和“Maia”的爬坡不仅雄心勃勃，在当前材料限制下可能根本不可能实现。 即使 $COHR、JX 日本、住友、$AXTI 等以最大产能扩产（例如 $COHR / JX -> 6英寸 InP 晶圆产能提升4倍），他们可能仍无法满足超大规模云服务商日益增长的需求。特别是考虑到需求激增，例如仅 $NVDA 自身（GB200/GB300 修订版）的需求。 硅光子学等技术解决方案可以弥合差距，但这仍然主要需要外置 InP 激光器作为光源。TFLN 或量子点激光器还需要很多年才能成熟。 未来几年可能无法摆脱对 InP 的需求。 因此，芯片设计与材料可用性之间的错配创造了一个战略瓶颈，在供应链的最底层，极少数公司控制了大部分配额、定价和供应。当叠加美中关系紧张和出口管制的地缘政治风险时，这尤其危险。 话虽如此，以下是可能发生的事情： - 价格飙升：$AXTI、JX、住友的价格将大幅飙升 -> $LITE、$COHR、中际旭创（也会通过下游传导提高价格） - 超大规模云服务商将直接囤积材料，绕过传统组件采购，直接从 $AXTI、JX 日本、住友购买 InP 衬底库存，并直接委托给像 $LITE 这样的收发器制造商。 （例如，Meta 将绕过收发器公司，直接去找 AXT 或住友） - 超大规模云服务商将买断生产配额（就像 $NVDA 已经积极“锁定”EML 产能（在 InP 衬底上制造）那样）。 购买衬底制造商或生产配额将成为一种必要，以免被 $NVDA 或 $GOOGL 等竞争对手饿死。 随着 TPU v7 和其他超大规模云服务商在 2026-2027 年爬坡，我们可能会进入衬底的“饥饿游戏”阶段，每个超大规模云服务商都将为了资源配额而相互吞噬对方的增长。 像 $NVDA（拥有创纪录的预分配量）这样的公司可能暂时没事，但其他项目可能会面临重大延误。 思考： 1. 一些超大规模云服务商可能没事（$NVDA）。其他如 $GOOGL 和 $MSFT 需要在其他人之前买断材料和配额。 2. 行业需要加倍投入工程转型，如延长铜的使用寿命和更节省材料的方式如硅光子学(SiPh)。 3. 转向6英寸晶圆以提高良率（能缓解情况，但仍不足以满足需求） 因此，现状是，数万亿美元的 AI 扩展系于一些不起眼的7亿美元公司 $AXTI 和 $SMTOY。除非架构改变，否则 AI 似乎不可避免地会因 InP 衬底产能而触及物理天花板。 2024年的瓶颈是 GPU。2025年是 HBM。2026年，主要约束很可能是光互连，特别是驱动它们的 InP 衬底。 这已成为 AI 基础设施建设中隐藏的瓶颈。
英文原文
The "InP Chokepoint": The Bottleneck of the AI Buildout explanation: The future of $NVDA Blackwell, $META MTAI, $GOOGL TPU, and $MSFT Maia ramp is tied to: A $700M small cap $AXTI and $SMTOY. The AI "Growth" story ends in 2026 if there's no solution to InP. Here's why: The AI industry started its migrating to photonics for future ASIC/GPU deployments, because copper is hitting a physical limit. However, in doing so, hyperscalers traded the common material for InP (Indium Phosphide), when there's only a few factories capable of producing 6-inch InP wafers at the purity levels required for lasers. Let's take for example Google and their TPU v7 Ironwood program: Google uses Optical Circuit Switching (OCS), in simpler terms, switchboards made of light. For every one of those TPUs in the pod to talk, they require InP-based lasers. $LITE, which works with Google on this, largely depends on InP substrate (eg. AXT/Sumitomo) to make them. If they don't have it Google's entire Ironwood program doesn't just "slow down", it hits the wall. Modern ASICs/GPUs from $NVDA GB series, $AMZN Trainium, $MSFT Maia, $META MTAI have all made the same bet: Light is the way forward. Now, here's the issue. The entire Western AI roadmap is currently tethered to a $700M small-cap and a single Japanese company that produce majority of the world's InP substrates required for photonics. It's currently a duopoly (rough estimates majority supply ~60% between AXT + Sumitomo), with recent estimates of ~70%+ coming from Sumitomo Electric, AXT, Freiberger, JX, and Visual Photonics Epitaxy (filling in the gaps). Regardless, the entire future AI supply chain is thinner than a needle: - Moomoo Research: InP market is in a state of "global scramble" and "serious supply shortage" NVIDIA GB200 rollout (scale-out still requires tons of InP, not NVL72 within-the-rack comm). - Demand for high-speed transceivers today probably exceeds the supply by almost a factor of two (LightCounting) - Seeing record booking, but explicitly "supply-constrained by InP lasers" ( $COHR CEO Q3 ER) - McKinsey: 40% to 60% shortfall for 800G modules and a 30% to 40% shortfall for 1.6T modules. And these reports are likely understanding + very conserative given the demand ramp. Even going off Microsoft's projections on Maia ramp, ( est. 1M+ Maia by 2027 on UBS $MRVL note), with 2 million+ units of 1.6T transceivers over the next year, this volume is so large it represents a double-digit percentage of global substrate output. The projected "exponential growth" of AI is about to collide with the reality of critical material production. So, the "Ironwood", "MTIA" and "Maia" ramps aren't just ambitious, they may be impossible under current material constraints. Even if $COHR, JX Nippon, Sumitomo, $AXTI, and others, ramp up at maximum capacity (eg. $COHR / JX -> 6-inch InP wafers for 4x capacity), they still might not be able to meet the increasing demand from hyperscalers. Especailly with demand spikes occurring, eg. just for $NVDA alone (GB200/GB300 revisions). There are technical solutions like silicon photonics is one solution to bridge the gap, but this still largely requires an external InP laser as the light source. TFLN or quantum dot lasers are many many years away. There's probably no escaping the InP requirements for the next few years. So, the mismatch between chip design and material availability has created a strategic chokepoint, where if you go to the very bottom of the supply chain, very few companies control a majority of allocations, pricing, and supply. This is especially dangerous when compounded with geopolitical risks on US/China relations + export controls. That being said, here's what's probably what's going to happen: - Price Spikes: Prices from $AXTI, JX, Sumitomo will spike significantly -> $LITE, $COHR, Innolight (also increases prices from pass down) - Hyperscalers will directly stockpile materials, bypassing traditional component procurement and buying InP substrate inventory from $AXTI, JX Nippon, Sumitomo, and directly to consign to transceiver manufacturers like $LITE. (eg. Meta would bypass transceiver companies and go directly to AXT or Sumitomo) - Hyperscalers will buy out production allocation ( like $NVDA that has already aggressively "locked in" EML capacity (manufactured on InP substrates). Buying a substrate manufacturer or production allocation would become a necessity to so others like $NVDA or $GOOGL doesn't starve them out. As TPU v7 and and as other hyperscalers ramp up in 2026-2027, we will likely enter a "hunger games" phase for substrates where only each hyperscaler will be cannibalizing each other's growth for resource allocation. Companies like $NVDA (with record amounts of pre-allocation), might ramp be okay for the time being, but others programs would likely face major delays. Thoughts: 1. Some hyperscalers might be fine ( $NVDA). Others like $GOOGL and $MSFT will need to buy out materials + allocation before others do. 2. Industry needs to double down on engineering shifts like copper life extension and more material efficient ways like SiPh. 3. Move to 6-inch wafers for yields (eases things, but still not enough to meet demand) So the way things are now, the multi-trillion dollar AI scaling are tethered to some obscure $700m company $AXTI and $SMTOY. It seems inevitable that AI will hit the physical ceiling because of InP substrate capacity unless architectures change. In 2024, the bottleneck was GPUs. In 2025, it was HBM. In 2026, the primary constraint will likely be the optical interconnect, and specifically, the InP substrates that power them. This has now become the hidden bottleneck of the AI buildout.
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AXTI和住友垄断InP衬底，或成AI光子化最大瓶颈。
警告：整个AI行业可能会受到两家公司的瓶颈制约： 1. $AXTI（市值7亿美元） 2. $SMTOY（市值317亿美元） 这两家公司控制了全球60-70%以上的磷化铟(InP)衬底市场。 未来$NVDA、$GOOGL TPU v7集群、$META、$MSFT、$AMZN等超大规模数据中心集群都需要基于InP的激光器和接收器。 $AVGO、$LITE、$COHR使用电吸收调制激光器(EML)用于800G/1.6T光模块、分布反馈(DFB)激光器和其他光基础设施。 没有InP衬底，供应链就会停滞。 在查看了从TPU到Maia的物料清单(BOM)后，看起来未来的专用集成电路(ASIC)+GPU+超大规模部署严重依赖光子学。 而这两家供应商可能会冻结全球InP衬底市场，涵盖几乎所有领域： - 超大规模光器件（TPU集群等） - 光模块（5g，数据） - 激光雷达(LiDAR)（自动驾驶出租车，无人机，军事） - 光模块（互连集群） - 硅光子学激光芯片（英伟达未来的共封装光学(CPO)和英特尔/博通硅光子学引擎使用InP连续波激光阵列。） 由于这些公司占据了市场供应的大多数： -AXTI（估计~30-35%） -住友（估计~30%） - JX日本（估计10-15%） 仅此而已。（例如，Yole 2021年的行业报告指出“住友电气+AXT共同拥有‘超过75%’的InP衬底市场”） 超大规模/AI正在向光子学发展，但整个AI行业是脆弱的。 如果$AXTI或$SMTOY中的任何一家停止供应材料，整个未来的AI建设就会瘫痪。更疯狂的是，一家7亿美元的公司可能成为这一切的中心。 随着AI行业向光子学转变，InP衬底可能会成为与高带宽内存(HBM)并列的最大瓶颈之一。
英文原文
Warning: The entire AI industry will likely be bottlenecked by two companies: 1. $AXTI ($700M) 2. $SMTOY ($31.7B) Which both control 60–70%+ of the world's InP substrates. Future $NVDA, $GOOGL TPU v7 pods, $META, $MSFT, $AMZN hyperscaler clusters require InP-based lasers and receivers. $AVGO, $LITE, $COHR use for EMLs for 800G/1.6T transceivers, DFB lasers, and other optical infra. Without InP substrates, the supply chain falters. After looking at TPU BOM to Maia BOM, it looks like future ASICs + GPUs + hyperscaler deployments are heavily reliant on photonics. And two vendors could freeze the global InP substrate market covering nearly all of: - Hyperscaler optics (TPU pods, etc) - Optical transceivers (5g, data) - LiDAR (robotaxis, drones, military) -Optical Modules (interconnect clusters) - Silicon photonics laser dies (Nvidia’s future co-packaged optics and Intel/Broadcom SiPh engines use InP CW laser arrays.) Since these companies make up majority of the market supply: -AXTI (est. ~30–35%) -Sumitomo (est.~30%) - JX Nippon (est. 10-15%) That’s it. (eg. 2021 industry note from Yole states that "Sumitomo Electric + AXT together had “more than 75%” of the InP substrate market") Hyperscalers/AI are moving toward photonics but the entire AI industry is fragile. If either $AXTI or $SMTOY stop supplying materials, the entire future AI buidlout gets crippled. It's even crazier that a $700m company could become the the center of it all. InP substrate will likely one of the biggest bottlenecks alongside HMB as the AI industry shifts to photonics.
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对比LITE与AAOI，看好AAOI在MSFT和AMZN ASIC中的重估潜力。
“太晚了”。 $LITE 是一家市值 260 亿美元的公司在未来 $GOOGL TPU 部署以及 $NVDA / $AMZN 等其他 GPU/ASIC 的核心位置。 它占据 Google TPU v7 8-12% 的物料清单(BOM)份额。这就像说当 $NVDA 市值达到 1 万亿美元时它“太晚了”一样。 但如果你想要另一个参与者，那就是 $AAOI。 $MSFT 正在 Maia ASIC 中使用它们，并且很可能正在与 $AAOI 创建一种新架构。 它们还与 $AMZN 拥有 40 亿美元的认股权证+购买协议。 所以这更像是一个做多 $MSFT Maia + $AMZN Trainium ASIC 的玩法，但市场尚未真正关注这两家超大规模云服务商的 ASIC。 如果有任何关于这两者的利好消息，$AAOI 将极快地重估。 尽管据报道 $META 将购买大量产品，但每个人都跳上了 $GOOGL TPU 的顺风车。
英文原文
"Late". $LITE is a $26B MC in the center of every future $GOOGL TPU deployment, $NVDA/ $AMZN / other GPU/ASICs. 8-12% BOM share of every Google TPU v7. This is like saying $NVDA was "late" when price it was a $1T MC. But if you want want another player, $AAOI. $MSFT is using them for Maia ASICs and are likely creating a new architecture with $AAOI. They also have a $4B warrant + purchase agreement with $AMZN. So it's more of a long $MSFT Maia + $AMZN Trainium ASIC play but markets haven't really cared about those two hyperscaler ASICs yet. If there's any positive news about those two $AAOI will revalue extremely fast. Everyone jumped on the $GOOGL TPU bandwagon after $META reportedly was going to buy a bunch though.
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认为 NBIS 在多项重大合同后仍按困境资产交易
我指的是，$NBIS 宣布 Microsoft 合同时，股价大概在 90-100 美元，之后涨到 140 美元。合同前是 65-75 美元。 现在，在 $MSFT 190 亿美元合同、$META 30 亿美元合同、以色列政府合同、Cursor/Accenture、$UBER Avride robotaxi 上线 + 3.75 亿美元投资轮等等之后，我们又回到了 80 美元。 Nebius 现在交易得像一只困境资产。
英文原文
Meant when $NBIS annnounced the Microsoft contract they were trading around $90-$100 before rallying to $140. Pre contract it was $65-$75. Now we’re back at $80 after $MSFT 19B deal, $META $3B deal, Israel gov deal, Cursor/Accenture, $UBER avride robotaxi launch + $375m investment round, and so on. Nebius is trading like a distressed asset right now
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周五科技股崩盘但作者认为散户方向长期正确，类似TSM/MU历史将重演
接飞刀还是抄底？ Oracle和Broadcom财报之后，周五股市对投资者来说简直是残酷的一天。 仅一天内大跌的热门FinX股票： $FRMI | -34.1% $SNDK | -15.89% $SEI | -15.3% $OKLO | -15.13% $MOD | -14.67% $ALAB | -14.31% $FLNC | -13.96% $LITE | -12.83% $GLXY | -11.73% $AAOI | -11.73% $AVGO | -11.43% $RMBS | -11.11% $CRWV | -10.06% $GLXY | -10.42% $EOSE | -9.73% $CIFR | -9.69% $APLD | -9.43% $WULF | -9.48% $BMNR | -9.17% $LGN | -8.86% $IREN | -8.79% $TSSI | -8.67% $NBIS | -6.99% 我通常会对每只股票做更多点评，但这次真的是太震撼了。像$FRMI因为租户流失/融资问题下跌还能理解，但其他一些就很难解释了。 $NBIS现在比政府、$MSFT和$META交易后还要低，$AVGO在$GOOGL TPU加速生产后却经历了史上最大跌幅之一。 你们周一在关注或买入什么？ （该推文引用了@aleabitoreddit的推文，引用内容仅供理解语境）： FinX是个泡沫。 r/wallstreetbets上的交易员也一样。 人们持有相同的股票：$NBIS、$TE、$ASTS、$HOOD、$RKLB、$IREN、$KRKNF、$ONDS、$SOFI、$AMD、$TSLA等。 然而：这其实是一件好事。 这些年来我见过这种情况反复上演。 短期来看，当人们买1-3个月到期的期权时，他们会在这些"泡沫化"且拥挤的交易中亏钱。 长期来看，一年后，散户对这些公司的方向判断是对的。 而这才是最重要的部分。 以$TSM（140-150美元）为例，一两年前当$NVDA最初崛起时，它曾是Reddit上最热门的股票代码。 散户的方向判断是对的，因为$TSM是整个人工智能建设浪潮的中心。 短期来看，由于买入2个月后到期的看涨期权，股价停滞甚至跌至127美元，每个人都亏了钱。 一年后股价涨幅超过100%+，所有那些看涨期权本来可以涨10倍。 $MU也是一样。Reddit知道内存是人工智能繁荣的重要组成部分，于是在同一笔交易上扎堆。 然而$MU在100美元停滞了一整年，每个人都亏了钱。 时间快进到现在，从美光到SK海力士，内存是最热门的东西，从65美元飙升至245美元，涨幅超过200%。散户方向判断对了，但最终被迫止损离场。 我坚信像$NBIS这样的股票，我们正处于散户买了太多短期期权、像当初$TSM或$MU那样被迫止损持有股票的那个时期。 然而时间快进一年，这可能就像$TSM、$MU或$HOOD（在18美元时）那样散户方向一直正确、却获得3-4倍回报的情况。 我确信FinX散户股票"泡沫"在短期内可能判断不正确——在那个时间框架内，未平仓合约、宏观波动率和做市商主导着市场——但长期来看方向判断是对的。
英文原文
Falling Knife or Dip Buy? What a brutal Friday for stocks after $ORCL and $AVGO earnings. Popular FinX names that dropped in just 1 day: $FRMI | -34.1% $SNDK | -15.89% $SEI | -15.3% $OKLO | -15.13% $MOD | -14.67% $ALAB | -14.31% $FLNC | -13.96% $LITE | -12.83% $GLXY | -11.73% $AAOI | -11.73% $AVGO | -11.43% $RMBS | -11.11% $CRWV | -10.06% $GLXY | -10.42% $EOSE | -9.73% $CIFR | -9.69% $APLD | -9.43% $WULF | -9.48% $BMNR | -9.17% $LGN | -8.86% $IREN | -8.79% $TSSI | -8.67% $NBIS | -6.99% I usually add more commentary on each stock, but it's been pretty incredible to watch. Things like $FRMI makes sense on losing tenants/funding but as for others. $NBIS is now lower than post Gov, $MSFT, and $META deals & $AVGO just had one of its largest drops in history even after $GOOGL TPU ramp. What are you watching or buying on Monday?
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仍看多 NBIS，认为 MSFT/META 合同提供中期防御性
我仍然看多。人们似乎忘了，$NBIS 和 $MSFT、$META 的合同覆盖超过半个十年，100% 利用率，总合同规模 220 亿美元。 它们有很强的中期防御性，包括 Cursor 或 $NET 这样的企业用户。 太空中的数据中心目前更像量子一样，是偏近期探索性质，还不是广泛商业化的算力来源。 话虽如此，如果 $NBIS 也拥有一家太空公司子公司，我也不会惊讶，毕竟它们已经有自动驾驶汽车子公司了，哈哈。
英文原文
Still bullish. People seem to forget the $MSFT and $META deals for $NBIS are over half a decade, 100% utilization, and $22 Billion in contract size. They have great medium term defensibility, including all their enterprise users like Cursor or $NET. DCs in space is more near-term exploratory like quantum right now, not exactly widely commercializable and a source for compute yet. That being said I wouldn’t be surprised if $NBIS also owns a space company subsidiary given then already have self-driving car ones lol.
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批评Snap AR战略失误，但认可其降本举措，认为当前估值具备投资价值。
这个观点很有趣，但我不同意。鉴于$SNAP在增强现实(AR)开发上的资本支出(capex)如此之高，它本应像$META放弃元宇宙(Metaverse)那样直接砍掉所有AR开发。 他们本应直接宣称：“我们是一家社交媒体公司”，并利用自由现金流(FCF)收购类似早期Facebook的社交媒体公司（而非硬件公司），从而与TikTok/Meta竞争。 如果当初这么做，$SNAP现在市值早已超过800亿美元。然而多年来他们未能产生更多自由现金流，这简直愚蠢至极，也证明了CEO及其愿景有多糟糕。 但他们确实做了一件事，即我原本希望Evan去做的：削减谷歌云(GCP)成本并像iCloud那样对“回忆”功能进行货币化，他们确实做到了。 尽管我认为这是一家管理极差的公司，但我认为从估值角度看，它现在是一个不错的投资标的。
英文原文
Interesting take but I disagree. $SNAP should have just scrapped any AR development (like $META for Metaverse) given how much capex spend it is. And just went out and say: "We're a social media company" + compete vs Tiktok/Meta by acquiring social media companies like early stage Facebook (instead of hardware ones) with FCF. $SNAP would have been a $80B+ company by now but the fact they're not producing more FCF after all these years is just incredibly stupid and a testament to how bad the CEO + vision is. But they did the one thing I wanted Evan to do which was cut GCP costs and monetize memories like ICloud, which they did. Even though I think it's a terribly run company I think it's a good investment now for the valuation.
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看好$SNAP因降本增效及AI收入，预计2026-27年有100%+涨幅。
$SNAP 在 7.64 美元时被极度低估。 -> Snapchat 通过转向 GCP 削减运营支出，并将其转化为收入。 -> Perplexity 交易在现有收入基础上增加了 4 亿美元股权/现金。 预计这些变化带来的净自由现金流(Net FCF)在 2026 年底至 2027 年初将达到 +6.3 亿美元（+1.9 亿运营云支出节省，+5.4 亿内存收入，-1 亿存储成本）。 CEO 出售 1000 万美元股票并不重要，尤其是当有 5 亿美元回购时。 $SNAP 不需要成为 $META，它永远不会是。 在 130 亿美元市值下，它只需要削减成本并改善来自其 15-20 亿美元季度收入（~55% 毛利率）的自由现金流。 那么即使用户增长放缓或轻微下降，它也将获得巨大的重估。 目前税务收割(tax harvesting)可能在未来两周结束。但如果你能等待整整一年，我有信心一旦计入 GCP 运营支出削减和 AI 收入流，Snap 将大幅跑赢任何指数。 进入 2026-2027 年，这里有 100%+ 的上行空间。
英文原文
$SNAP is incredibly undervalued at $7.64. -> Snapchat cutting opex costs with GCP and converting that to revenue. -> Perplexity deal adding $400m in equity/cash on top of existing revenue. Net FCF Is estimate from these changes is +$630M (+$190M opex cloud, memory revenue +540M, storage cogs -$100m) late 2026, early 2027. The CEO selling $10M in shares is not material, especially when there's $500M in buybacks. $SNAP doesn't need to be $META, it never will. At a $13B marketcap, it just needs to cut costs and improve FCF from its $1.5B-$2B quarterly revenue (~55% gross profit margins). Then it will be re-rated immensely, even if user counts slows or slightly drops. Right now tax harvesting is likely ending next two weeks. But if you can wait a whole year, I'm confident Snap will strongly outperform any index once we factor in GCP opex cuts and AI revenue streams. 100%%+ upside here going into 2026 - early 2027.
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博主披露核心及轮动持仓，并解释转向方向性评论的原因。
核心持仓是高确信度的多头：$BTC、$RKLB、$HOOD、$NBIS、$ALAB、$TSM。可能将 $LITE 和 $CRCL 移入上述核心多头组合，但它们是我正在建仓的新头寸。然后是短期至中期混合持仓，如 $SNAP、$CIFR、$RDDT、$SMCI、$HIMS、$TE、$LTC、$KRUS、AMKR、$LITE、$FLY、$WLAC、$META、$AMZN、$TTD 以及现在的 $AAOI 等。我在短期至中期持仓之间进行大量轮动。我以前发布更多关于日内交易的内容，但最终在这里获得了太多粉丝，所以想转向方向性评论。发布头寸更新很难，因为我喜欢解释我这样做的原因！我记得在 $IREN 约 50-60 美元时卖出，结果在接下来的三周里收到了一堆恶评 lol
英文原文
Core portfolio is high conviction longs: $BTC, $RKLB, $HOOD, $NBIS, $ALAB, $TSM Probably moving $LITE and $CRCL to the core long port above, but they’re newer positions that I’m building up. Then short-mid term mix like $SNAP, $CIFR, $RDDT, $SMCI, $HIMS, $TE, $LTC, $KRUS, AMKR, $LITE, $FLY, $WLAC, $META, $AMZN, $TTD, and now $AAOI etc. I rotate between short-medium term holds A LOT. I used to post more day trading stuff but I ended up getting too many followers here, so wanted to switch to directional commentary. It’s hard to post position updates because I like to explain why I do things! I remember selling $IREN around $50-$60 or something and just got a bunch of hate comments for the next three weeks lol
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解析Mag7 ASIC供应链，看好$AAOI因$MSFT散热互连修复及$AMZN订单带来的增长。
不客气！如果我们看Mag7的ASIC，$GOOGL TPU v7 Ironwood的供应商在$META交易后曾有一波上涨。 $AMZN Trainium即将像$GOOGL那样开始放量，近期超大规模云厂商$AAOI的订单很可能来自他们。 $AAOI的超额收益逻辑在于：$MSFT Maia 200的订单更多是研发支出，且他们推迟了路线图（可能由于散热和互连问题，例如连接10万颗芯片而不熔化），标准线缆无法用于Maia 200。 但这对$AAOI是利好，因为$MSFT很可能使用他们来解决这一问题，且所有这些ASIC支出将发生在2026-2027年，加上远期收入指引的大幅超预期。 但$AMZN提供了约40亿美元的安全垫以降低风险。
英文原文
NP! If we look at mag7 ASICs, $GOOGL TPU v7 Ironwood suppliers had a run after the $META deal. $AMZN Trainium is going to ramp up soon like $GOOGL and the recent hyperscaler $AAOI order was likely from them. The alpha for $AAOI is that $MSFT Maia 200 orders were more of R&D spend and they delayed their roadmap (likely due to thermal and interconnect issues eg. 100,000 chips to connect without melting) and standard cabling wasn't working for Maia 200. But this is bullish for $AAOI since $MSFT likely uses them for this fix and all of this ASIC spend will be occur in 2026-2027 + huge beat on forward revenue projections. But $AMZN is providing the nice $4B floor for de-risking.
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OpenAI 恐慌引发 AI 供应链板块抛售，独立标的现买入机会。
确实如此。其中很大一部分源于对 OpenAI 的担忧。例如，OpenAI 是 $CRWV 的锚定租户之一；$ALPD 出售垃圾债 -> 信贷收紧。随后板块抛售。显然这是多因素的（例如，套息交易平仓引发的更广泛抛售），ATM 增发/可转换票据 + 部分公司进一步稀释 -> 市场风险偏好下降。但再次强调，$ALPD 和 $CORZ 与 $CRWV 挂钩，而后者与 OpenAI 挂钩。$CIFR、$WULF 通过 Fluidstack 作为锚定方与 $GOOGL 挂钩。$NBIS 为 $MSFT 和 $META 进行建设。这是一个极其微妙的板块，但像 OpenAI 引发的全板块抛售/恐慌也为更独立的玩家提供了买入机会。
英文原文
They did. A large part of it was OpenAI fears. eg. OpenAI -> one of $CRWV anchor tenant. $ALPD selling junk bonds -> credit tightening. Sector selloff after. Obviously it's multifacted (eg. broader selloff from carry trade unwind), ATM offerings/convertible notes + more dilution for some -> market risk off. But again, $ALPD + $CORZ are linked to $CRWV which are linked to OpenAI. $CIFR, $WULF -> $GOOGL through Fluidstack as anchor. $NBIS -> Buildout for $MSFT and $META. It's an extremely nuanced sector, but whol sector selloff/fears like OpenAI presents a buying opportunity too for the more isolated players.
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Neocloud龙头承压，但获超大规模云商背书的个股是理想买点。
我预计Neocloud股票今天会表现不佳，因为$ORCL/$CRWV是“板块龙头”。 但这将是该板块个股的理想买入机会： 因为市场忽略了$ORCL/$CRWV高负债扩张的主要交易对手是OpenAI这一细微差别。 但该板块的其他公司如$NBIS、$CIFR、$WULF则由AAA评级的超大规模云服务商（$META/$META/$GOOGL/$AMZN）的现金牛业务提供背书。
英文原文
I expect a bad day for Neocloud stocks just because $ORCL / $CRWV are "sector leaders". But this would be an ideal buying opportunity for individual companies in the sector: Due to the market missing the nuance that $ORCL / $CRWV's debt-filled buildout is for OpenAI as the main counterparty. But other companies in the sector like $NBIS, $CIFR, $WULF are backstopped by AAA-rated Hyperscaler ( $META / $META / $GOOGL / $AMZN) cash cows.
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板块错杀提供买入机会，NBIS/IREN无交易对手风险且利用率高。
超额收益(alpha)在于了解哪些类型的合同能让人免受当前恐惧的影响，以及行业内哪些个别组件存在定价错误。$MSFT、$META 等公司的算力容量合同是“照付不议”(take or pay)的。 $NBIS、$IREN 等公司由于与“七巨头”(Mag7)（拥有无限资产负债表）签订5年期合同，实际上消除了**交易对手风险**(counterparty risk)。 然而，它们下跌的原因不同（$NBIS 因2500万股的自动行使机制(ATM)发行；$IREN 因市场担忧其为将剩余3GW的AI云容量管道变现而进行稀释，而非用于数据中心托管(colocation)）。 然而，主要的普遍担忧是 $ORCL、$CRWV 面临来自 OpenAI 破产+无力支付的严重交易对手风险，但由于它们是两大主要玩家，这引发了整个板块的算法抛售。 但这种板块抛售为一些未受影响（除信贷收紧外）/被误解的公司提供了良好的买入机会。 此外，AI是一个增长的市场，目前可能存在算力紧张（例如 anthropic、gemini 和其他模型），但 $NBIS、$IREN 在超大规模云服务商合同上的利用率基本为100%。 显然，如果存在过度建设，可能会导致利润率压缩，但我们目前尚未看到这种情况。5年后会发生什么，我不知道。
英文原文
The alpha is knowing what types of contracts lead to isolation from current fears and where there's mispricing on individual components in the sector. Compute capacity contracts are take or pay for $MSFT, $META, and others. Companies like $NBIS, $IREN and others are effectively de-risked due to **no counterparty risk** from Mag7 (infinite balance sheets) and 5 Year contracts. However, their drops were different reasons ( $NBIS, 25M share ATM), $IREN fears over dilution for monetizing their rest of the 3 GW capacity pipeline for AI Cloud instead of colo. However, the main overarching fear was that $ORCL, $CRWV faces severe counterparty risk from OpenAI insolvency + inability to pay, but this causes a sector algorithmic selloff because they're the two largest players. But this sector sell-off is a good buying opportunity for some of the unaffected (minus credit tightening) / misunderstood companies. Also AI is a growing market, and there's likely compute strain for the time being (eg. anthropic, gemini, and other models) but it's basically 100% utilization for hyperscaler contracts on $NBIS, $IREN. Obviously if there's overbuild, there's probably margin compression but we're not seeing that right now. What happens after 5 years I don't know.
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AI数据中心客户资金差异大，市场误判导致板块错配机会。
AI 数据中心(AI DC)领域极其微妙。 $ORCL 正基于租户 OpenAI 的积压订单/信用状况，通过债务建设产能。 OpenAI 目前无力履行其义务，且获得资金的可能性越来越小。 $CIFR 正为 $GOOGL、$AMZN 建设产能。 谷歌/亚马逊拥有资金，且这些合同已锁定。 $NBIS 正为 $META、$MSFT 建设产能。 微软/Meta 拥有资金，且这些产能合同已锁定。 但市场目前将所有积压订单都视为来自 OpenAI（不可持续的建设），因此这是买入该板块个别组件错定价的好机会。
英文原文
The AI DC sector is extremely nuanced. $ORCL is building capacity from debt based on backlog/credit worthiness of OpenAI which is the tenant. OpenAI does not have the funds at the moment to fulfill its obligations and it's looking less likely to get it. $CIFR is building out for $GOOGL, $AMZN. Google/Amazon does have the funds and these contracts are locked in. $NBIS is building out for $META, $MSFT. Microsoft/Meta does have the funds and these contracts are locked in for capacity. But the market is currently treating all the backlog like it comes from OpenAI (unsustainable build) which is why it's a good opportunity to buy into mispricing of individual components of the sector.
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分析NBIS受ATM及空头压制，但基本面强劲且机构增持，高波动需耐心持有。
就我个人对 $NBIS 的观察来看，其表现主要受定向增发(ATM)抛压、板块拖累、短期空头以及19日到期的巨额未平仓合约影响。例如，$CRWV 昨日上涨5.13%，而 $NBIS 同日下跌3.91%，我认为这归因于空头或ATM操作。有些令人遗憾，尽管 $NBIS 是降息的最大受益者（新云(neocloud)板块），但今天下跌2%，而其他散户宠儿如 $RKLB 却上涨8%+。价格走势有时会让你自我怀疑，但即使有10%的稀释，也改变不了你提到的事实：Nebius 2026年底年化经常性收入(ARR)中值为80亿美元，与Avride推出了Robotaxis，与 $META 达成30亿美元交易，Clickhouse增长极快，另外两家子公司同比增长100%，其中Toloka受益于 $META 的Scale收购。机构持股比例目前可能接近52%（上月彭博终端显示50%多，MSCI调整前），较上季度的30%多高，机构确实在从投降的散户手中收购股份。此时持有很痛苦，但请记住作为市场上最高贝塔(beta)股票之一，它在一周内可能波动35%。（在2-3周内从100美元到140美元到95美元再到130美元）。
英文原文
So from what I've seen personally with $NBIS, it's largely ATM overhang + sector drag + short term shorts, and large amounts of open interest expiring on the 19th. For example, $CRWV was up 5.13% yesterday, while $NBIS was down 3.91% same day, and I'd attribute that to either shorts/ATMs. It's a little unfortunate, even as the largest beneficiary of rate cuts (neocloud sector), $NBIS is down 2% today while other retail favorites like $RKLB are up 8%+. Price action makes you doubt yourself sometimes, but even with 10% dilution, it doesn't really change the fact as you mentioned Nebius has $8B midpoint ARR EOY 2026, they launched Robotaxis with Avride, $META $3B deal, Clickhouse is growing incredibly fast, and their other two subsidaries are growing 100% Y/Y with Toloka benefiting from $META Scale acquisition. Institutional ownership is now probably closer to 52%(bloomberg terminal 50's last month pre msci) from high 30's last quarter and institutions are definitely acquiring shares from retail capitulating. Painful hold at this point, but keep in mind it can move 35% on a random week as one of the highest beta stocks in the market. (went from $100 to $140 to $95 to $130 in the span of 2-3 weeks).
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美联储降息后发布12月11日个股评级，重点推荐AI基建、稳定币及超跌成长股。
美联储降息25个基点后。 12月11日评级： 强烈买入： $CRCL $COIN $AMKR $CRDO $IBIT $MSTR $AMZN $SMCI $TSM $TSSI SK海力士 $SNAP 三星电子 $ALAB $META $NBIS $CIFR 买入： $KRUS $AVGO $NFLX $KRKNF $HIMS $FLY $OSS $TE $FLNC $LITE $COHR $RKLB $TTD $NVDA $CLS $GOOGL $RDDT $WULF $CRWV $IREN $GLXY $WLAC $MPWR 回避 $RGTI $PLTR $WMT $ETH $BMNR $TSLA $IONQ $ORCL $SLNH $OKLO 解释： 今天美联储如期降息25个基点。这通常会引导流动性进入成长股，并利好那些债务使用最多（以更低利率再融资）的中小盘股，例如像$NBIS和$CIFR这样的新云(Neoclouds)。 然而，这也恰逢日本加息，可能导致去年重新加载的套息交易(Carry Trade)平仓；但这是短期的，基本面>短期波动。 强烈买入评级： Circle - 大幅下跌主要由于IPO后的股份解禁。然而，降息损害了其商业模式~利息收入减少20%。 话虽如此，我们看到稳定币市场大幅增长，我个人看到大量早期风险投资（a16z, Sequoia等）涌入与稳定币相关的公司，如新银行(Neobanks)。我们应该看到所有这些都流入更多的USDC铸造，铸造量将抵消降息的影响。 Coinbase - 与Circle相同，他们在USDC方面有50%的收入分成。然而，他们还有自己的交易所，而且降息通常有助于风险资产如加密货币（尤其是比特币跌破9万美元后）。 Amkor - 受益于半导体/晶圆厂向美国制造的转移。 Credo - 过去5天下跌-16%，今天下跌8%。很好的恢复性买入，不认为数据中心建设的数据连接需求会下降。 ALAB - 与CRDO相同的论点 IBIT (比特币) - 始终是长线好标的，尤其是在$93K时 Microstrategy (MSTR) - 受益于比特币复苏，并分析了他们是否会爆仓。TLDR：不会，在需要支付利息之前（约2029年），我们还有另一次比特币减半事件。 Amazon - 今年一动不动。基本面改善，年底有助于电商部门。定制芯片、星座、Robotaxi，他们基本上什么都做，而市场尚未真正奖励他们的努力。只是感觉我们可能会在接下来的2个月看到它跑赢大盘。 SMCI - 之前发过关于这个的论点帖，惊人的恢复性买入。它因将收入积压转移到下一季度而在财报后下跌，但市场没有定价他们未来收入同比增长60%但交易在~11倍远期市盈率的事实。 TSM - 整个AI/半导体建设的骨干。我们看到关于TPU与GPU的争论，但TSM不在乎。 TSSI - 与SMCI相同的论点，依附于Dell，作为一个代理，我们看到来自IREN等供应商和其他在2026年建设数据中心的新云的巨大积压，我们应该看到这在明年实现。 SK海力士 - 显然有关于在美国市场上市升级的传闻，这应该提振流动性。此外，内存市场因AI建设而需求极高。 Snapchat - 只是被低估。$13B市值，~1B+季度收入。NA DAU较上季度下降3%，但不要为了成为下一个FB而买入。他们只需要削减GCP成本并货币化记忆功能（他们已经做了），我们应该看到明年重新评级100%+，特别是随着Perplixty交易带来的$400m+额外收入/股权。 三星电子 - 人们认为这也是内存，因为它构成了他们利润的很大一部分，但我将其视为潜在的下一个现金牛晶圆厂玩法，如TSM，作为第二大玩家吸收任何最大产能溢出。 META - 一次性税收抛售，超卖。现在我们终于看到他们创建前沿模型（Avacado，如果我记得没错的话）。所以他们可以货币化他们一直在花钱的llama开源llm努力。他们还削减了元宇宙努力，这应该是对盈利能力的巨大推动。 Nebius - 由于2500万股稀释导致短期拖累。ATM可能正在提供。话虽如此，一旦完成，由于来自其DC业务（7-9B ARR）及其4家市场未定价的子公司（同比增长100%+）的远期收入/增长，极度低估。 CIFR - 由于比特币价格（资产负债表上持有大量）导致短期下跌，但由于他们做托管(Colo)模式，不受GPU贬值争论的太大影响。此外由Google背书，并与Amazon有合同，因此从根本上降低了风险，是新云领域的顶级买入之一。 买入评级： 文字空间不够，所以给出更短的TLDR Kura Sushi - 波段交易，拉出5年图表，你会明白我的意思，每次它触底（大约现在）。这从未失败过！ Broadcom - 超大规模建设，与联发科一起对TPU至关重要 Netflix - 16%的下跌对于收购来说感觉有点不必要 KRKNF - 基本面增长良好，作为Andruil供应商的市场具有防御性。 HIMS - 股票回购计划，通常低于$40是很好的买入/波段交易。Zava收购未被定价，且仍在增长。 FLY - SpaceX $1.5T估值应该提振整个太空板块。这是2026年中型发射的玩法。 OSS - 之前对此进行过DD，潜在的Andruil供应商。否则，在这个市值下无论如何都有些低估。 TE - 少数Murican能源基础设施之一，太阳能。它可能比核能更商业化。 FLNC - 与AI建设+能源相同的论点 LITE - 现在相当过度延伸，不会追高。但长期受益于处于tpu ironwood + blackwell建设的中间。 COHR - 与Lite相同，但似乎是次要玩家。 RKLB - 可能是我最喜欢的长线。现在相当高估，但由于SpaceX的FOMO无法避免。 TTD - 之前的论点帖，仅基于远期收入数字，似乎是一个很好的恢复性玩法。 NVDA - TPU恐惧有点夸大，看看积压订单。 CLS - TPU v7生态系统买入 GOOGL - 他们像NVDA一样销售TPU，像Waymo一样增长Robotaxi市场，Gemini成功。全方位开火。 Reddit - 就像早期的Robinhood一样，只是一台印钞机。对RDDT通过FCF增长收购做了一些论点评论。否则，他们将留下来并受益于所有世代使用它（不像Snap那样早期） WULF - 类似于CIFR。重新评级可能会发生，取决于更多关于Anthropic建设的信息。 CRWV - 糟糕，糟糕的长线。良好的短期恢复性买入。 IREN - 如果他们继续购买GPU来做AI云，我不会把钱投进去，只是因为稀释。但他们可能会做托管，并且拥有大量的GW容量，所以仍然很有希望。 GLXY - 数据中心建设的受益者。 WLAC - 可能他们本月进行SPAC IPO。他们说Q4。 MPWR - TPU v7生态系统买入 回避 RGTI - 量子，没有基本面/收入支持 PLTR - 449.01B市值lol WMT - 他们每年增长4%的收入，但交易在40倍市盈率，这很疯狂。 ETH - 以太坊伟大的网络。然而，没有代币销毁，也没有收入流向代币持有者。糟糕的投资，伟大的开发者工具/生态系统。 BMNR - 以太坊代理。 TSLA - 有点脱离基本面。但这是对elon musk、大规模Robotaxi、机器人的赌注。我个人只是认为这过度承诺，但我们会看到。 IONQ - 量子，没有基本面/收入支持 ORCL - 大部分远期积压依赖于openai，如果openai在市场份额上输给claude/gemini，这使得事情极其不确定/有风险。话虽如此，现在是一个很好的恢复性买入，但长期来看有风险。 SLNH - 如果你想被他们的2.8gw管道稀释到虚无，这是要持有的股票。 OKLO - 没有像量子那样的基本面来支持目前的市值，这可能需要多年才能实现。
英文原文
Post-Fed Interest Rate 25BPS cut. December 11th ratings: Strong Buy: $CRCL $COIN $AMKR $CRDO $IBIT $MSTR $AMZN $SMCI $TSM $TSSI Sk Hynix $SNAP Samsung Electronics $ALAB $META $NBIS $CIFR Buy: $KRUS $AVGO $NFLX $KRKNF $HIMS $FLY $OSS $TE $FLNC $LITE $COHR $RKLB $TTD $NVDA $CLS $GOOGL $RDDT $WULF $CRWV $IREN $GLXY $WLAC $MPWR Avoid $RGTI $PLTR $WMT $ETH $BMNR $TSLA $IONQ $ORCL $SLNH $OKLO Explanations: Today fed cut interest rates 25BPS as expected. This usually funnel liquidity into growth stocks and benefits small-medium caps that use debt the most (refinance with lower interest rates), such as Neoclouds like $NBIS and $CIFR. However, this coincides with Japan hiking, which might lead to carry trade unwind from last year's reload; but this is short term, fundamentals > volatility short term. Strong Buy Ratings: Circle - Massive drop mainly due to share unlock post IPO. However, rate cuts hurt their business model ~20% revenue cut from interest. That being said, we're seeing a massive growth in the stablecoin market, and I'm personally seeing huge early venture capital funding (a16z, sequioa, etc). being poured into stablecoin related companies such as Neobanks. We should see all of this funnel into more USDC printing, and the printer outweigh rate cuts. Coinbase - Same as Circle, they have 50% revenue sharing in terms of USDC. However, they also have their exchange on top, and rate cuts generally help riskier assets such as crypto (especially post drop Bitcoin sub 90k) Amkor - Benefits from Made in America shift to semis/fab. Credo - Dropped -16% last 5 days, and 8% today. Great recovery buy, don't see connectivity demand dropping from DC buildout. ALAB - Same thesis as CRDO IBIT (Bitcoin) - Always a great long, especially so at $93K Microstrategy (MSTR) - Benefits from Bitcoin recovery and did an analysis whether they would get liquidated or not. TLDR: no, we have another bitcoin halving event before they need to pay off interest, which was around 2029. Amazon - Hasn't moved an inch all year. Fundamentals improving, EOY helps E-commerce division. Custom chips, constellations, robotaxis, they're basically doing everything and market hasn't really rewarded their effort yet. Just a feeling we might see this outperform next 2 months. SMCI - Did a thesis post on this earlier, amazing recovery buy. It dropped on earnings due to shifting revenue backlog to next quarter, but markets aren't pricing in the fact they're growing 60% Y/Y forward revenue but trading at ~11 forward p/e or so. TSM - Backbone of the whole AI/semi buildout. We're seeing arguments about TPU vs. GPU, but TSM doesn't care. TSSI - Same thesis with SMCI, piggybacks off of Dell, just as a proxy we're seeing massive backlog from vendors such as IREN, and other neoclouds building out DCs 2026, and we should see this come into fruition next year. Sk Hynix - Apparently there's been rumors about uplisting to US markets, which should be a boost to liquidity. Also memory markets is just incredibly high demand from AI buildout. Snapchat - Just undervalued. $13B marketcap, ~1B+ quarterly revenue. NA DAU dropped 3% from last quarter but don't buy this for being the next FB. All they need to do is cut GCP costs and monetize memories (which they did) and we should see this re-rate 100%+ next year, especially with $400m+ in added revenue/equity from the Perplixty deal Samsung Electronics - People think of this as memory as well because it makes up a large part of their profit, but i see this as a potential next cash cow foundry play like TSM, as the 2nd largest player to soak up any max capacity overflow. META - One time tax selloff, was oversold. Now we finally see them create a frontier model (Avacado) if i remember correctly. So they can monetize the llama open source llm efforts they've been just blowing money on. They also cut their metaverse efforts, which should be a huge boost in proftiability. Nebius - Short term drag due to 25m share dilution. ATM is likely being offered. That being said once this finishes, insanely undervalued due to forward revenue/growth from both its DC business (7-9B ARR), and its 4 subsidaries that the markets dont price in (growing 100%+ Y/Y) CIFR - Short term drop due to Bitcoin prices (holding a lot on balance sheet), but not really affected by GPU depreciation arguments since they do colo models. Also backstopped by google, and they have contracts with Amazon, so fundamentally disrisked and one of the top buys in neocloud secotr. Buy Ratings: Running out of text space so will give a shorter TLDR Kura Sushi - Swing trade zoom out 5 year chart and you'll see what I mean every time it bottoms (around now). This never fails! Broadcom - Hyperscaler buildout, critical to TPU alongside Mediatek Netflix - 16% drop feels a bit unwarranted for the acquisition KRKNF - Great growing fundamentals and defensible market as an andruil supplier. HIMS - Share buyback program, usually sub $40 great buy/swing trade. Zava acqusition not being priced in and it's still growing. FLY - SpaceX $1.5T valuation should boost up the whole space sector. This was a 2026 play for medium lift. OSS - DD on this earlier potential andruil supplier. Otherwise, kind of undervalued at this MC anyway. TE - One of the few Murican energy infra, Solar. It's likely more commercial than Nuclear. FLNC - Same thesis with AI buildout + energy LITE - Pretty overextended right now, wouldn't chase. But long term benefits from being in the middle of both tpu ironwood + blackwell buildout COHR - Same with Lite, but seems like a secondary player. RKLB - Probably my favorite long. Pretty overvalued right now but can't help it due to SpaceX fomo. TTD - Thesis post earlier, just based on forward revenue numbers, it seems like a great recovery play. NVDA - TPU fears are a bit overblown, just look at backlog. CLS - TPU v7 ecosystem buy GOOGL - They sell TPUs like NVDA, growing robotoaxis market like waymo, gemini succesful. Just firing on all fronts. Reddit - Just a money printer like early day Robinhood. Made some thesis comments about RDDT growing in terms of acquisitions from FCF. Otherwise, they're here to stay and benefits from all gens using it (unlike snap which is earlier) WULF - Similar to CIFR. Rerating might happen depending on more info about the Anthropic buildout. CRWV - Terrible, terrible long. Good short term recovery buy. IREN - I would not put money into this if they kept buying GPUs to do AI cloud just due to dilution. but they might do colo and they have an immense amount of GW capacity so it's still promising. GLXY - Beneficary of DC Buildout. WLAC - Possible that they're SPAC ipoing this month. They did say Q4. MPWR - TPU v7 ecosystem buy Avoid RGTI - Quantum, no fundamentals/revenue to back it up PLTR - 449.01B market cap lol WMT - They're growing like 4% revenue a year, but trading at 40 p/e which is insane. ETH - Ethereum great network. However, there's no token burn and none of the revenue goes to token holders. Terrible investment, great developer tooling/ecosystem. BMNR - Ethereum proxy. TSLA - Kind of detached from fundamentals. But it's a bet on elon musk, robotaxis at scale, robotics. I personally just see this as overpromising, but we'll see. IONQ -Quantum, no fundamentals/revenue to back it up ORCL - Most of forward backlog is dependent on openai, which makes things incredibly uncertain/risky if openai falls to claude/gemini in market share. That being said, it's a good recovery buy right now, but long term it's risky. SLNH - This is the stock to be in if you want diluted to oblivion on their 2.8gw pipeline. OKLO - no fundamentals like quantum to back up mc at this moment, this likely years out to come into fruition.
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看好RKLB与NBIS，认为市场低估了这两家行业第二梯队的成长潜力。
市场正在错误定价地球上最大板块中的第二梯队玩家。 我对 $RKLB = $NBIS Avride 的论点： 1. 太空领域 ($RKLB) -> SpaceX 估值刚从 $350B 升至 $800B。Rocketlab 将从 $26B 增长至 SpaceX 之前的估值水平。 这只是时间问题。 2. 自动驾驶出租车 (Robotaxis) ($NBIS) Waymo 在一年内从 $45B 涨至 $200B。$NBIS Avride 将从 $6B 增长至 Waymo 之前的估值水平。 这只是时间问题，无论是一年还是四年后。 关于 $NBIS 的关键点是：Avride 只是其众多子公司之一，仅这一家公司在两年内的价值就可能超过当前的整体市值。 市场和空头都错误定价了这样一个事实：Nebius 拥有地球上增长最快、最热门的板块公司，且全部实现 100%+ 的同比增长。 做多 $RKLB，做多 $NBIS。
英文原文
The market is mispricing the #2 players in the biggest sectors on Earth. My thesis on $RKLB = $NBIS Avride 1. Space ( $RKLB ) -> SpaceX just got valued at $800B from $350B. Rocketlab will grow into SpaceX's prev valuation from $26B It's just a matter of time. 2. Robotaxis ( $NBIS ) Waymo went from $45B → $200B in 1 year. $NBIS Avride is going to grow into Waymo's previous valuation from $6B. It's just a matter of time, whether that's 1 year or 4 years from now. And here is the thing with $NBIS: Avride is just one subsidiary out of multiple, and this company alone could be worth more than the entire market cap today in 2 years. Both the market and short sellers misprice the fact that Nebius owns the fastest growing and hottest sector companies on Earth, all growing 100%+ Y/Y. Long $RKLB, Long $NBIS.
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反驳Hedgeye做空逻辑，对比Coreweave指出Nebius财务更健康且业务多元。
做空机构 @Hedgeye 正在做空 Nebius $NBIS。股价现为 $97.8。 他们的观点？Nebius 是 Coreweave 2.0。 Coreweave [ $CRWV ]： - 客户多元化程度低，主要是超大规模云服务商，约四分之一的积压订单来自 OpenAI。 - 剩余现金 18 亿美元。 - 由于 8-10% 利率的有毒融资，每年债务利息超过 13 亿美元。 Nebius 也是如此吗？ Nebius [ $NBIS ]： - 在 Neocloud 市场中拥有最高的客户多元化，包括 $META、$MSFT、政府、$SHOP、Mistral、$NOW 等。 - 剩余现金超过 48 亿美元。 - 票据结构约 40%+ 价外(OTM)，年利率约 2%，每年利息支出约 7660 万美元。 - 拥有对 $UBER 至关重要的 FSD 4 级 Robotaxi 自动驾驶汽车业务板块（最后一轮融资 $UBER 投入 3.75 亿美元），以对抗 Waymo。 - AI 训练板块由贝索斯资助，并被 $AMZN、Anthropic 等使用。 - 持有子公司 28% 的股份，该子公司被 $TSLA、$NET、Tiktok、$META 等大多数上市公司使用。 - 4 家子公司同比增长 100%，伴随核心运营业务增长，Tripleten/Toloka 每年增加净收入。 这是同一家公司吗。
英文原文
A short seller firm @Hedgeye is now shorting Nebius $NBIS. The stock price is now $97.8. Their claim? Nebius is Coreweave 2.0. Coreweave [ $CRWV ]: - Small diversification in customers, mainly hyperscalers, ~quarter of their backlog is OpenAI. - $1.8B in cash left - $1.3B+/yearly in debt interest from toxic financing at 8-10% interest. Same thing as Nebius right? Nebius [ $NBIS ]: - Highest diversification in the Neocloud market of customers from $META, $MSFT, governments, $SHOP, Mistral, $NOW, and many others. - $4.8B+ in cash left - ~$76.6M/yearly from note structure 40%+ OTM at ~2% interest. - FSD level 4 Robotaxi self driving car segment that is of critical importance to $UBER (last round $375M with $UBER) to compete vs Waymo. - AI training segments funded by Bezos and used by $AMZN, Anthropic, and others - 28% in subsidiary that most of the public companies from $TSLA, $NET, Tiktok, $META and so on use - 4 subsidiaries growing 100% Y/Y alongside their core operational business, with Tripleten/Toloka adding to net income every year. Same company.
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分析NBIS和IREN财报后大跌原因，认为跌幅过度且受情绪影响。
财报前 $NBIS 股价在 $115-$135 区间。此后因以下利好下跌约 21%-40%：与 $UBER 合作推出 Robotaxi FSD，ARR 预估翻倍，GW 产能指引上调 150%，$META 意外合同，MSCI 纳入带来的资金流入。唯一的利空是 2500 万股稀释。作为投资者我极度反感这一点（更偏好 FCF -> 产能爬坡）。不幸的是，$ORCL 和 $CRWV 的重大债务警告、$CRWV 影响 $APLD 等供应商发行垃圾债及信贷收紧，以及 GPU 折旧论调同时打击了 Neocloud 市场。其中只有信贷收紧是实质性的，不足以解释 $NBIS 的大幅下跌（纯属情绪）。话说回来，他们确实需要改善营销。（例如没人将 Robotaxi 与 $NBIS 关联，主流新闻也不知晓此事）。至于 $IREN，他们出人意料地选择购买 GPU 而非 Colo 服务，鉴于 3GW 产能，投资者可能看到巨大的潜在稀释，因此也下跌了 40%。我相信 $IREN 在营销方面没问题，它拥有像 $ASTS 那样的狂热追随者（这对他们是好事）。
英文原文
Pre-earnings $NBIS was sitting around $115-$135. We've dropped over ~21%-40% since then on: Robotaxi FSD launch with $UBER, doubled ARR estimates, increased GW capacity guidance by 150%, surprise $META contract, MSCI inclusion inflow. The only downside: 25m share dilution. Which I extremely dislike as an investor (FCF -> ramp up would be preferred) Unfortunately, TI hit reports on $ORCL, $CRWV major debt flag, $CRWV affecting suppliers from $APLD raising junk bonds + credit tightening, and GPU depreciation arguments all kind of hit the Neocloud market at the same time. Only credit tightening was something material and doesn't warrant that much of a drop for $NBIS (purely sentiment). That being said they need to improve their marketing for sure. (Eg. nobody associates robotaxis with $NBIS at all and even mainstream news don't know about it). As for $IREN, they did a surprising move to buy GPUs instead of colo offerings and given the 3GW capacity investors probably see a huge huge amount of potential dilution, hence the 40% drop too. I'm sure $IREN is fine on the marketing front, it has that cult-like following like $ASTS (which is a good thing going for them).
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反驳收入无法覆盖折旧论，指出利用率提升带来经营杠杆效应。
“收入无法在折旧之上实现规模化增长”是错误的，你没有正确陈述单位定价（会下降）与经营杠杆（会规模化）的关系。在“前置投入”阶段，你拥有资产（折旧正在发生），但尚未产生全部收入。随着你为 $MSFT/$META 合同及其他客户启动集群，利用率提高，利润率随之扩张（可变）。因此，“收入无法在折旧之上实现规模化增长”是谬误，因为收入确实能通过利用率在折旧之上实现规模化增长（折旧是固定的，而收入是可变的）。只需看看 $CRWV 约 74% 的现金利润率，它足以覆盖折旧。（忽略 $CRWV 庞大的利息债务，而 $IREN 和 $NBIS 都没有这种债务）。
英文原文
"Revenue doesn't scale past depreciation" is wrong, you're not stating unit pricing (which degrades) vs. operating leverage (which scales) correctly. In the "front loading" phase, you have the assets (depreciation is active) but not the full rev yet. As you turn on clsuters for the $MSFT/ $META contract and others, utilization increases and margins expand (variable). So "revenue doesn't scale past depreciation" is false because revenue absolutely scales past depreciation due to utilization. (depreciation is fixed while revenue is variable) Just look at ~74% or so cash margins from $CRWV that cover the depreciation. (ignoring $CRWV's massive interest debt which both $IREN and $NBIS dont have).
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博主认为七大科技股当前估值具备较高概率优势。
@Scepticus16 就我而言，从当前估值来看，$meta、$amzn、$googl、$nvda、$appl、$msft、$tsla 的概率较大。
英文原文
@Scepticus16 Prob $meta, $amzn, $googl, $nvda, $appl, $msft, $tsla for me in terms of current valuations
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扎克伯格削减元宇宙支出令META财报后上涨，证明基本面完好时应忍受波动。
而且……在扎克伯格削减元宇宙支出后，财报后所有买入的 $META 都飘红了。这就是为什么如果基本面完好，你要忍受短期波动性。有时只需要改变叙事逻辑。 https://t.co/M0ngPtT3o2
英文原文
And… all the $META buys post-earnings are green after Zuck cuts the Metaverse spending. This is why you hold through short-volatility if fundamentals are intact. Sometimes all it takes is a change in narrative. https://t.co/M0ngPtT3o2
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AI云股被算法归篮联动，CRWV财务堪忧，NBIS/IREN长期价值或超CRWV。
是的，完全同意。我认为算法/市场目前将 $NBIS、$IREN 归入 $CRWV、$NVDA 的篮子中。因此，任何关于 Coreweave 的负面报道都会对其他公司产生负面影响。我们终于看到 $WULF、$CIFR 等被归入数据中心(colocation)篮子（相对不受 GPU 贬值论点影响），并表现优异。但坦率地说，$CRWV 是一个财务噩梦，只要它被视为新云(neocloud)行业领导者，就会影响其他公司。至于 $NVDA，$GOOGL 的 TPU 论据是我目前看到的针对 $NVDA GPU 云业务最强的看空理由，但这些公司已经从 $META、$MSFT 锁定了 5 年的超大规模云服务商(hyperscaler)合约。我认为市场最终会正确定价，我相信 $NBIS 和 $IREN 有一天会比 $CRWV 更有价值，但其中只有一家拥有自动驾驶 Robotaxi lol。
英文原文
Yep absolutely. I think algos/market put $NBIS, $IREN in the $CRWV, $NVDA basket right now. So any negative hit piece about Coreweave does negatively affects the others. We've finally seen $WULF, $CIFR and others get put into the colo basket (which are relatively unaffected to GPU depreciation arguments), and outperform. But $CRWV is a financial nightmare to put it bluntly, so it does affect the others as long as it's treated as the neocloud sector leader. As for $NVDA, TPU arguments from $GOOGL is the strongest bear case I've seen to date though on $NVDA GPU clouds, but these companies already have have 5 year hyperscaler deals locked in from $META, $MSFT. imo markets will price things in correctly in due time, I do think both $NBIS and $IREN will be worth more than $CRWV one day. but only one of those has self-driving robotaxis lol
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AI算力需求指数级增长抵消GPU迭代贬值，NVDA客户优质，非泡沫崩盘。
答案很微妙。 主要看两个因素： 1. GPU 变得更节能。 2. 大语言模型(LLM) 在容量/能效上更高效。 在 LLM 方面，我们看到像 DeepSeek 这类模型在处理不需要高精度的任务（如回答烹饪食谱或知识库查询）时极其高效。 然而……随着计算力的增加，准确率（尤其是复杂研究问题）也在提升。Elon 和 Magnificent Seven 意识到了这一点，所以他们正在扫货市场上的所有 GPU 以创造超级智能。这也是为什么 Anthropic 和 Google 正在建设耗资 400 多亿美元的数据中心，用于运行需要更多算力进行批判性思维（如 Genesis 任务）的更高级 Opus 和 Gemini 模型。 在 GPU 方面，每一代新 GPU（例如 H100 -> B200）在能效和每美元性能上都有显著提升。例如，Blackwell B200 是 Hopper H100 的 30 倍。 如果基于这个假设，那么到 2027/2028 年，市场上将出现大量过时的低效 H100 和 B200，导致二手 GPU 市场崩盘。 但是：这是假设我们没有看到对新 AI 能力的指数级需求（我们很可能会看到，且正在发生）。正因为这种指数级需求，今天旧模型（如 7 年前的 TPU 和 2020 年的 GPU）仍被用于低优先级的推理任务。 $NVDA 的订单已积压数年，人们正在购买 $AMD 的 GPU 和 $GOOGL 的 TPU 来构建任何新增产能。 至于思科类比，思科的客户是互联网泡沫时期无盈利能力的公司。$NVDA 的客户是 $META、$AMZN、$GOOGL、$MSFT，这些是世界上最盈利的公司。所以最坏的情况我们可能看到回调，而不是互联网泡沫式的崩盘。
英文原文
Answer is nuanced. So two factors: 1. GPUs get more power efficient. 2. LLMs get more capacity/power efficient. For the LLMs case, we're seeing that on deepseek type models be extremely efficient on stuff that don't require much accuracy. Basic stuff like responding to questions about cooking recipes, or knowledge-base stuff. However... accuracy increases, especially with complex research questions, scaled with compute. And people like Elon + mag7 realize this, which is why they're just buying up all the GPUs on the market to create superintelligence. And why antrhopic/google is building $40B+ datacenters for more advanced opus and gemini models that require more compute for critical thinking (eg. Genesis Mission) For the GPUs case, every new generation of GPU (e.g., H100 -> B200) offers dramatic improvements in power efficiency and performance per dollar. eg. Blackwell B200 is 30x than the Hopper H100. If we go off that assumption, then there would be a massive useless supply of less-efficient H100s and B200s in 2027/2028 creating a used GPU market crash. HOWEVER: This is if we don't see an exponential demand for new AI capabilities (which we likely will, and what we're seeing now). Because of this exponential demand, TODAY, older models are still used (eg. TPUs from 7 years ago and GPUs from 2020), for lower inference task in lower priority inference tasks. $NVDA is backlogged for years and people are buying GPUs from $AMD /TPUs from $GOOGL to build out any new capacity. As for Cisco analogy, Cisco's customers were .com bubble companies with no profitability. $NVDA's customers are $META, $AMZN, $GOOGL, $MSFT the most profitable companies in the world. So worst case scenario we might see a correction, not a .com bubble crash.
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英伟达虽面临谷歌TPU等定制芯片竞争，但中期统治力稳固，逢低买入。
英伟达($NVDA)公布的2026财年Q3营收为570.1亿美元(+62.5% YoY)，表现强劲。并指引Q4营收超650亿美元(超预期30亿美元+)，以及通过CY 2026年Blackwell/Rubin系列营收超5000亿美元。尽管如此，股价仍下跌12%。现在$NVDA是强力买入吗？答案如下： $GOOGL的TPU项目成为首个对$NVDA GPU构成竞争替代的方案，Anthropic承诺采购超100万颗TPU芯片，Meta据报道正在就数十亿美元的TPU采购进行高级别谈判。沃伦·巴菲特近期也向$GOOGL投资超40亿美元，鉴于伯克希尔对科技股保守的投资立场，这极为罕见。 尽管创下盈利新高，英伟达股价在过去10个交易日中有6天下跌，较10月29日触及5.03万亿美元市值时的历史高点$207.04下跌约12-15%。 分析师反应普遍看多，普遍上调目标价： - Evercore ISI从$261上调至$352 - 美银从$235上调至$275 - 花旗从$220上调至$270 - 高盛从$240上调至$250 - 摩根士丹利从$220上调至$235 但这里有个价值万亿美元的问题：超大规模客户日益增长的定制硅片威胁是否会削弱英伟达在AI领域的统治地位？ 与主要捕捉英伟达GPU缺货时的溢出需求的$AMD不同，谷歌的TPU项目代表了根本不同的竞争动态。 TPU v7 Ironwood是首款在性能上与Blackwell持平的非英伟达加速器，提供4.6 petaflops的FP8性能（对比B200的4.5 petaflops），配备192GB HBM3e内存。 Ironwood的架构差异化显著。虽然英伟达最大的集群配置为72个GPU(NVL72)，TPU Ironwood可扩展至9,216个芯片组。 客户斩获显著且不断增长： - Anthropic承诺采购超100万颗TPU芯片，价值“数百亿美元”，1GW算力即将上线。 - Meta正在就2026年从谷歌云租赁TPU容量进行高级别谈判，并计划2027年直接采购硬件用于自有数据中心。 - 苹果透露Apple Intelligence基础模型完全在TPU上训练，使用8,192颗TPUv4芯片用于服务器模型。 - Midjourney从GPU转向TPU，推理成本降低65%（从每月200万美元降至70万美元）。 定位微妙。TPU在超大规模推理方面表现出色，在生产级大规模服务中成本性能最高提升4倍（目前）。在训练方面，英伟达优势明显。 对于高度优化的推理任务，TPU架构可能比$NVDA的通用GPU更高效。 然而，我预计下一代英伟达GPU将在许多场景下在推理性能上超越TPU。（类似于LLM之间GPT 5 -> Gemini 3 -> Opus 4.5的迭代超越） 我们看到： 谷歌TPU、AWS Trainium、Meta MTIA、微软Maia和定制超大规模芯片都在扩展，但仍依赖$NVDA。但超大规模客户集体减少对英伟达的依赖，其累积效应是否会削弱英伟达的统治地位？ 答案：不会。至少未来两年统治地位稳固。之后如何纯属猜测。 仅看数据：Q3结果证实公司仍是AI不可或缺的基础设施提供商，5000亿美元的订单积压为2026年提供了极高的可见性。 但市场似乎正在定价3年+后的这种微妙现实：长期面临超大规模客户定制芯片的竞争不确定性。 英伟达产能完全售罄，且很可能在下一代芯片中超越TPU性能（推理性能更高且保持通用性）。但定制硅片威胁和44倍市盈率的估值担忧仍是逆风。 无论如何，鉴于出色的超预期财报和未来两年的订单积压，$NVDA目前因恐惧而下跌，似乎是中期强力逢低买入的机会。 你只需要记住这一点： 只要英伟达仍是AI工作负载的行业首选，且TPU和AMD GPU仅在需求超过英伟达供应时填补空白，它就是强力买入标的。 英伟达订单积压已满，AI需求并未放缓。
英文原文
Nvidia ( $NVDA ) reported a blowout Q3 FY2026 revenue of $57.01 billion (+62.5% YoY). And guided $65B+ Q4 ($3B+ beat), and $500B+ USD in Blackwell/Rubin rev through CY 2026. Despite that, the stock dropped 12%. Is $NVDA a strong buy now? Here's the answer: $GOOGL TPU's program emerged as the first competitive alternative to $NVDA GPUs, with Anthropic committing to over 1 million TPU chips and Meta reportedly in advanced negotiations for billions in TPU purchases. Warren Buffet also recently invested $4B+ into $GOOGL, which is extraordinarily rare given Berkshire's conservative stance to tech investments. Despite a record earnings beat, Nvidia's stock has declined in six of the last ten trading sessions and sits roughly 12-15% below its October 29 all-time high of $207.04, when it briefly touched a $5.03 trillion market cap. Analyst reaction was overwhelmingly bullish, with price targets raised across the board: - Evercore ISI raised to $352 from $261 - Bank of America raised to $275 from $235 - Citigroup raised to $270 from $220 - Goldman Sachs raised to $250 from $240 - Morgan Stanley raised to $235 from $220 But here's the trillion dollar question: will the emerging custom silicon threat from hyperscalers reduce NVIDIA dominance in AI? Unlike $AMD, which primarily captures overflow demand when NVIDIA GPUs are unavailable, Google's TPU program represents a fundamentally different competitive dynamic. TPU v7 Ironwood is the first non-NVIDIA accelerator that achieves performance parity with Blackwell, delivering 4.6 petaflops of FP8 performance (versus B200's 4.5 petaflops) with 192GB HBM3e memory. Ironwood's architectural differentiation is substantial. While NVIDIA's largest cluster configuration is 72 GPUs (NVL72), TPU Ironwood scleaes to 9,216 chip pods. The customer wins are significant and growing: - Anthropic committed to over 1 million TPU chips worth "tens of billions of dollars," with 1 gw of compute capacity coming online. - Meta is in advanced negotiations to rent TPU capacity from Google Cloud in 2026, with direct hardware purchases for its own data centers planned for 2027. - Apple revealed that Apple Intelligence foundation models were trained entirely on TPUs using 8,192 TPUv4 chips for server models - Midjourney switched from GPUs to TPUs and reduced inference costs by 65% (from $2M to $700K monthly) The positioning is nuanced. TPUs excel at hyperscale inference with up to 4x better cost-performance for production serving at scale (for now). For training, NVIDIA is the clear advantage. For highly optimized inference tasks, TPU architecture might remain more efficient than $NVDA's general-purpose GPU. However, I'm expecting next-gen Nvidia GPUs to leapfrog TPUs for inference in many scenarios. (similar to how LLMs leapfrog each other GPT 5 -> Gemini 3 -> Opus 4.5) We're seeing: Google TPU, AWS Trainium, Meta MTIA, Microsoft Maia, and custom hyperscaler chips scale up to reliance on $NVDA. But will the cumulative effect on hyperscalers collectively reducing Nvidia's dominance? The answer: No. Not yet. Dominance is secured at least for the next two years. What happens after is only speculation. Just looking at the numbers: Q3 results confirm the company remains the essential infrastructure provider for AI, with a $500 billion order backlog providing exceptional visibility through 2026. But the market appears to be pricing in this nuanced reality 3 years+ from now: long-term competitive uncertainty with custom hyperscaler chips. Nvidia is completely sold out of capacity, and are likely to leapfrog TPU performance in their next generation chips (higher performance for inference while being general purpose). But the custom silicon threat and valuation concerns at 44x earnings remains a headwind. Regardless, $NVDA seems to be a strong mid term dip-buy now on fears, given the exceptional blowout earnings and backlog for the next 2 years. This is the only thing you need to remember: NVIDIA is a strong buy as long as it remains the industry’s first choice for AI workloads, with TPUs and AMD GPUs filling gaps when demand exceeds NVIDIA’s supply. Nvidia is maxed out on backlog, and AI demand is not slowing down.
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认为META和NBIS被低估，建议维持现有持仓。
@mcwalker747 @retail_mourinho 两者都被低估了，我会保持对 $META 和 $NBIS 的现有持仓不变。
英文原文
@mcwalker747 @retail_mourinho Both are undervalued I’d just keep positions in $META and $NBIS as is
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Scale被Meta收购后，AI训练平台用户被迫转向NBIS等替代品
@RKLBMan 还有那个同比增长150%的AI训练/标注平台呢 lol 这是在Scale刚以290亿美元估值被$META收购之后——现在被迫转向$NBIS等其他平台的使用者（超大规模云服务商）
英文原文
@RKLBMan And the AI training/labeling platform growing 150% y/y lol This is after Scale just got bought by $META at a $29B valuation -> hyperscalers that used it now are forced into other platforms like $NBIS
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解析$NBIS旗下Avride与Toloka的高增长潜力，指出市场低估其子公司价值。
$NBIS 即将超越 $CRWV，原因如下： 在 $TSLA、$AMZN、$GOOGL 和现代汽车中，Nebius [ $NBIS ] 拥有美国仅有的 4 家 FSD-LVL 4 级自动驾驶出租车公司之一：Avride。 人们还不知道的是： $NBIS 拥有 Toloka，其同比增长 140%。 Toloka 被 Anthropic、Hugging Face、$AMZN、$MSFT、ServiceNow 和 $SHOP 用于训练人工智能模型，在杰夫·贝佐斯风险投资部门的最新一轮融资中，Toloka 估值约为 7 亿至 12 亿美元。 Nebius 拥有多数股权（约 60%），但市场错误定价了其子公司与其核心业务一同以极高速率增长的事实。 虽然不如 Avride 或 Clickhouse 具有主导地位，但鉴于其增长率，Toloka 代表了 Nebius 投资论点中的重要组成部分。 我们最近看到 Scale AI（估值 290 亿美元）被 $META 收购（技术上约 49%），以此了解市场规模，并且由于利益冲突担忧，$GOOGL 和 OpenAI 的客户流失，这增加了 Toloka 的价值。据报道，Meta 收购后，Google 和 OpenAI 切断了与 Scale 的联系。仅 Google 在 2025 年为 Scale 预算了 2 亿美元。即使捕获其中 10-20% 的转移支出，也将实质性提升 Toloka 的收入。 管理层指引 2025 年收入为 50-70 亿美元。牛市情景假设他们达到 70 亿美元以上（上限或超过）。鉴于他们在 2024 年增长了 140%，如果企业交易转化，这并非不合理。计算如下：70 亿美元 × 25 倍 = 175 亿美元。若为 80 亿美元且乘数为 25-30 倍（若势头异常强劲），则接近 20-25 亿美元。 但鉴于其增长率，我们可能会看到： 基准情景（12-15 倍乘数）：7-10 亿美元（当前）-> 9-13 亿美元（1 年后）。 牛市情景 20-25 倍：12-17.5 亿美元（当前）-> 15-25 亿美元（1 年后）。 2024 年收入同比增长 140% 至约 2640 万美元，2025 年指引为 5-7 亿美元（同比增长 90-165%）。在一般牛市情景下，我们可能在 1 年内看到额外约 14 亿美元的子公司价值添加到分部加总估值中。 多年后，如果公司和市场增长，该价值可能单独带来 30 亿、60 亿、90 亿美元。 简而言之，市场仍在将 Nebius 的子公司估值为缓慢增长、商品化的业务，而非以三位数速率高价值复利的业务。真正的超额收益来自投资者理解市场错误定价了 $NBIS 这一篮子超高速增长公司。 $NBIS 拥有多个三位数增长的子公司，受益于并行价值创造：每项业务独立扩展，但其进展强化了母公司的估值。
英文原文
$NBIS is about to leapfrog $CRWV, here's why: Among $TSLA, $AMZN, $GOOGL, and Hyundai, Nebius [ $NBIS ] owns 1 of only 4 FSD-LVL 4 US Robotaxi companies: Avride. What people also don't know is this: $NBIS owns Toloka, growing 140% Y/Y. Used by Anthropic, Hugging Face, $AMZN, $MSFT, Servicenow, and $SHOP for training artificial intelligence models, Toklo is likely valued around $700M-$1.2B in its latest round by Jeff Bezos's venture arm. Nebius owns a majority stake (roughly ~60%), but the market is mispricing how their subsidiary companies grows at extreme rates alongside their core business. While not as dominant as Avride or Clickhouse, Toloka represents a meaningful piece the Nebius investment thesis given their growth rate. We’ve seen Scale AI ( $29B ) get acquired by $META recently (technically ~49%) to get a sense of market size, and we’ve seen customers from $GOOGL and OpenAI defect due to conflict of interest concerns, given added value to Toloka. Google and OpenAI reportedly cut ties with Scale after Meta's acquisition. Google alone had $200M budgeted for Scale in 2025. Even capturing 10-20% of that displaced spend would materially boost Toloka's revenue. Management guided $50-70M for 2025. The bull case assumes they hit $70M+ (the upper bound or exceed it). Given they grew 140% in 2024, this isn't unreasonable if enterprise deals convert. The math: $70M × 25x = $1.75B. At $80M with 25-30x (if momentum is exceptionally strong), you get toward $2-2.5B. But given their growth rate we’ll likely see: Base case (12-15x multiple): $700M-$1B (currently) -> $900M-$1.3B 1Y forward. Bull Case 20-25x: $1.2-1.75B (currently) -> $1.5-2.5B 1Y forward Revenue grew 140% year-over-year in 2024 to approximately $26.4 million, with 2025 guidance of $50-70 million (90-165% Y/Y growth). And with a general bull-case sceanrio, we might see an additional ~$1.4B in subsidiary value added to Sum of Parts in 1 year time. In multiple years time, that value might bring in $3B, $6B, $9B alone if the both the company and market grows. In short, the market is still valuing Nebius’s subsidiaries as if they were slow-moving, commoditized businesses instead of high-value compounding at triple-digit rates. The true alpha from investors understanding that the market is mispricing $NBIS basket of hyper-growth companies. $NBIS with multiple triple-digit-growth subsidiaries benefits from parallel value creation: each business scales independently, but their progress reinforces the parent company's valuation.
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看好$NBIS极高增速及低市值潜力，类比Waymo扩张前景。
我见过$HOOD，也见过$META在IPO时的表现。除了$NVDA可能之外，我从未见过任何单一公司能像$NBIS这样以如此惊人的速度扩张。 在年经常性收入(ARR)已达10亿美元以上且同比增长300%+的基础上，还能实现700%+的同比增长，这种增长速度简直高得令人难以置信。 这仅仅是核心业务的表现。 在我上面的帖子中，Avride正处于像Waymo与$UBER合作那样大规模扩张的边缘。如果他们在德克萨斯州的启动顺利，我们可能会在地图上的各个地方看到它的出现。 很难给出目标价。我通常不会为单只股票唱多，但我从未见过一只具有如此荒谬高潜力的股票，其市值却如此之低。
英文原文
I've seen $HOOD, I've seen $META at IPO. Aside from maybe $NVDA, I've never seen any single company scale this incredibly fast before compared to $NBIS. Growing 700%+ Y/Y, when you're already doing $1B+ ARR from 300%+ Y/Y growth, is just unspeakably high growth. That's just the core business alone. In my post above, Avride is at the precipice of scaling like Waymo with $UBER. If their Texas launch goes well, we might just see this pop up everywhere around the map. Hard to give a price target. I normally don't bullpost a single stock but I haven't seen such a stupidly high potential stock sitting at a low marketcap before.
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TPU/AMD因NVDA产能受限受追捧，若NVDA产能过剩才需担忧竞争逆风。
问得极好，我关于谷歌TPU（张量处理单元）有一个非常详尽且微妙的论点。 总结：真正需要担心的是，如果TPU和AMD在长期表现上优于$NVDA，导致人们**偏好**其他GPU并转而购买它们。而不是因为$NVDA的GPU卖光了，被迫去买替代品。 但这只是简版。目前的情况就像$AMD： 它是$NVDA潜在的竞争替代品，短期内对基本面影响不大。 这对$NVDA专属云（如$CRWV）和$NVDA自身（例如$META可能会购买TPU）构成长期逆风。但其中的微妙之处在于，$NVDA受限于GPU产能，否则$META可能根本不会去买任何TPU。 短期/中期对盈利影响不大。中期对$TSM、像$CIFR这样的 Colo（数据中心）提供商、以及GPU无关的云提供商构成顺风。 $NVDA刚经历了一个爆发性的季度，Q4预测也极其惊人。直接看那些营收预测就好。 所以我说的微妙之处在于：人们买$AMD和TPU是因为产能受限。$NVDA生产的任何东西都能售罄。 如果$NVDA生产的任何东西都卖不完，那时你才需要担心逆风和$NVDA的故事。
英文原文
Amazing question, so I have a really long nuanced thesis regarding Google TPUs. SUMMARY: The thing to be worried about is if TPUs and AMD outperform $NVDA long term, so people **PREFER** other GPUs and buy them instead. Not because they ran out of $NVDA GPUs to buy and are forced to go get alternatives. But this is a TLDR. Right now it's like $AMD: Potential competitive alternative to $NVDA, not much of an impact near term to fundamentals. This is a long term headwind against NVDA specific-clouds ( $CRWV ) and $NVDA itself (eg. how $META might buy TPUs ). But part of that nuance is because $NVDA is constrained on how much GPUs they can produce lol, otherwise $META might not just buy any TPUs. Short-term/mid-term it's not very material to earnings. Medium term tailwind for $TSM, colo providers like $CIFR, GPU agnostic cloud providers. $NVDA just had a blowout quarter and absolutely insane Q4 projections. Just go off those revenue projections. SO the nuance what I'm trying to say is people buy $AMD, TPUs because they're capacity straigned. $NVDA sells out of Anything they produce. If $NVDA can't sell out of anything they produce, then that's where you get worried about the headwinds and $NVDA story.
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列举AI领域资本支出加速增长的10大证据，强调AI赛道持续高景气度与投资机遇
对于AI领域的任何人来说，很难不看好。 资本支出正在加速增长，而且是以指数级的速度。 直接流向以下几个方面： 新云服务商：$CIFR、$NBIS、$WULF、$IREN， 连接性：$ALAB、$CRDO、$CLS， 能源：$VST、$FLNC、$TE、$EOS， 半导体/晶圆厂：$NVDA、$AMD、$GOOGL、$TSM， 存储：$SNDK、$MU和$STX。 仅在过去几周，我们就看到： 1. AI曼哈顿计划——美国政府正给予顶级模型访问专有实验室数据的权限以加速研究。 2. $GOOGL在德克萨斯州投资400亿美元建设数据中心。 3. Anthropic投资500亿美元建设边缘计算基础设施以支持其Opus 4.5+模型。 4. $TSM公布创纪录的远期收入数据（AI支出）。 5. $NVDA确认创纪录的远期收入数据（AI支出，锁定2年产量）。 6. $META将2025年数据中心/AI资本支出提升至400-450亿美元，用于llama5-6。 7. 今年三次降息以加速增长并降低融资成本。 8. Dominion Energy警告AI数据中心带来大规模电力负荷激增。 9. $AVGO表示AI网络订单达到前所未有的规模。 10. 阿联酋和主权国家推进AI发展。 我们没有看到任何放缓。只有创纪录的增长。 事实上，随着Claude Opus 4.5、Gemini 3的最新模型进展，以及美国政府的新承诺，感觉我们才刚刚看到人工智能新前沿的冰山一角。 （该推文引用了 @aleabitoreddit 的推文，引用内容仅供理解语境）: Nebius [$NBIS]是当前被低估最多的成长型公司。 它有潜力以210亿美元的市值成为下一个$GOOGL。原因很简单： 它的投资组合公司令人惊叹。 这个概念最令人难以置信的例子是$FTX公司。以下是故事： 当我们观察$META如何增长成为万亿美元公司时，不仅仅是Facebook。他们的投资组合公司Instagram、Whatsapp和其他应用使Meta主导了社交媒体领域。 $FTX在数字资产和前沿技术领域做着类似的事情。 四年前，即2021年，$FTX向一个大资产篮子投资了58亿美元。其中很大一部分投入了这三家核心公司： 1. Anthropic，持股13.56%，估值25亿美元。 2. Robinhood [$HOOD]，持股7.6%，估值85.4亿美元。 3. Solana [$SOL]，4100万+代币。 快进到今天，那将是： · Anthropic最新一轮估值3500亿美元。那部分股份价值约474亿美元。 · Robinhood现在市值超过1000亿美元。那部分股份价值约76亿美元。 · Solana现在每个代币价值131.5美元，使那部分股份远超57亿美元。 仅这三家公司就在4年内产生了超过550亿美元的价值，这甚至还不包括FTX的数百亿美元加上其他数十项投资，以及Chime、Layerzero、Aptos、Hidden Road（被$COIN收购）和加密货币的持股。 他们的投资组合公司比他们的核心业务更持久（想象一下，如果核心业务像$GOOGL搜索和YouTube一样持续增长，那将价值多少）。 $NBIS现在有着与$FTX在加密领域、$META在社交媒体领域相同的布局，但在人工智能领域拥有合法且飞速增长的核心业务。 Nebius拥有： 1. Clickhouse，28%持股，估值约70亿美元（2025年上半年为63亿美元）。 2. Avride，83%持股，估值约60亿美元（优步融资后）。 3. Toloka AI，约65%持股，估值约6.4亿美元。 4. TripleTen，100%持股，估值约3亿美元。 · Clickhouse为Anthropic、$META、$TSLA、$NET和许多财富500强公司提供支持。 · Avride是一家自动驾驶出租车机器人公司，从Yandex分拆出来，$UBER在3.75亿美元融资轮中投资以与Waymo竞争。 · Toloka是一个AI标注平台，亚马逊、微软、Anthropic和Shopify都在使用。 19.6亿美元+49.6亿美元+4.16亿美元+3亿美元=76亿美元的投资组合公司估值，这些公司的增长速度超过大多数公开成长型公司。 但如果我们看看他们以每年700%+的速度增长至70-90亿美元ARR的核心业务，拥有48亿美元现金，为$META、$MSFT、Cursor、政府和更多客户提供支持…… 这可能是它以低于90美元的最后一个月，因为今天MSCI纳入将为其带来从数亿美元到低数十亿美元的额外资金流入。如果我们看看$IREN或$CIFR等热门选择，没有任何其他数据中心成长型公司有这种类型的投资组合。 $NBIS估值仅210亿美元，市场正在忽视这个机会。
英文原文
It’s hard for anyone in the AI space not to be bullish. Capex is ramping up. Exponentially. And flowing directly down to: Neoclouds: $CIFR, $NBIS, $WULF, $IREN, Connectivity: $ALAB, $CRDO, $CLS. Energy: $VST, $FLNC, $TE, $EOSe Semi/foundries: $NVDA, $AMD, $GOOGL, $TSM Memory: $SNDK, $MU, and $STX In the past few weeks alone, we got: 1. Manhattan Project for AI - US government is giving top models access to propriety labs data for accelerating research 2. $GOOGL spending $40 on DC buildout in Texas 3. Anthropic spending $50 on EC buildout to support their Opus 4.5+ models 4. $TSM confining record forward revenue numbers (AI spend) 5. $NVDA confirming record forward revenue numbers (AI spend, 2Y production locked in) 6. $META upping 2025 DC/AI capex spend to $40-$45B for llama5-6 7. 3x rate cut this year to accelerate growth and make funding cheaper. 8. Dominion Energy warning of massive AI power load surge from AI datacenters 9. $AVGO signaling AI networking orders at unprecedented scale 10. UAE and sovereign countries pushing into AI We’re not seeing any slowdown. Only record growth. In fact, with the recent model developments from Claude Opus 4.5, Gemini 3, and now new commitment from the US government, it feels like we're just seeing the tip of the new frontier for Artificial Intelligence.
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分析超大规模云厂商数据中心模式差异及潜在合作逻辑
我不会像某些特定的 $BMNR 或 $IREN 投资者那样盲目吹捧，认为街上的绿灯就意味着对公司利好。所以我倾向于认为这只是巧合。因为看起来 $AMZN、$GOOGL 倾向于偏好数据中心托管(Colo)模式（因为他们可以插入自己的 TPU、未来的 Trainium 芯片），而 $MSFT、$META（以及 99.9% 使用 $NVDA 且没有现成定制芯片的 AI 公司）则偏好 $NBIS、$IREN 类型的模式。所以 $AMZN 宣布在印第安纳州为其 AWS 数据中心部门投资 150 亿美元。但关键要注意的是，他们此前在那里已经花费了 313 亿美元，所以这并不算全新投入。你可能看到了 $NBIS 正在印第安纳波利斯附近建设 1000 多英亩的绿地数据中心。这只是一个有利于建设的区域，可能并非针对合作伙伴关系或像 Anthropic（最近承诺 400 亿美元资本支出）那样的另一笔超大规模云厂商交易。说实话，我现在可能更相信 Anthropic 的资本支出承诺而不是 OpenAI。话虽如此，也许如果 $AMZN 耗尽容量并达到与 $NVDA 的最大采购订单上限（因为他们正在插入自己的 $CIFR 芯片），他们可能会转而使用 Nebius。
英文原文
I'm not going to be a blind shill like some specific $BMNR or $IREN investors that can say a green light on the street means bullish for the company. So I would lean coincidental. Since it looks like $AMZN, $GOOGL tends to favor colo models (since they can plug in their own TPUs, Trainium chips in the future) while $MSFT, $META (and 99.9% of AI companies that use $NVDA and don't have custom chips readily built out) prefer $NBIS, $IREN type models. So $AMZN announced they're investing $15B in Indiana for their AWS DC segment. But key thing to note is they've already spent $31.3B there before so it's not exactly new. You probably saw how $NBIS is doing a 1000+ acre greenfield DC near Indianapolis. It's just a favorable area for buildout, probably not directed at a partnership and another hyperscaler deal like Antrhopic (who committed $40B in capex spend recently). I'd probably trust Antrophic more than OpenAI right now with capex spend lol. That being said, maybe if $AMZN runs out of capacity and hits max purchase order with $NVDA (since they're plugging in their own chips with $CIFR), they would use Nebius instead.
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Nebius因AI投资组合及核心业务高增长被严重低估，有望成下一个GOOGL。
Nebius [ $NBIS ] 是目前被低估程度最高的成长型公司。它有望成为下一个市值达 210 亿美元的 $GOOGL。原因很简单：其投资组合公司令人惊叹。最极端的例子是 $FTX。回顾 $META 如何成长为万亿级巨头，不仅靠 Facebook，更靠 Instagram、Whatsapp 等投资组合公司主导了社交媒体格局。$FTX 在数字资产和前沿技术领域做了类似布局。2021 年，$FTX 投入 58 亿美元，重仓三家核心公司：1. Anthropic（13.56%，估值 25 亿）；2. Robinhood [ $HOOD ]（7.6%，估值 85.4 亿）；3. Solana [ $SOL ]（4100 万+代币）。如今，Anthropic 最新估值 3500 亿，该持股价值约 474 亿；Robinhood 市值超 1000 亿，持股价值约 76 亿；Solana 代币 131.5 美元，持股价值超 57 亿。仅这三家公司四年增值超 550 亿，还不包括 FTX 其他数十亿投资及 Chime、Layerzero、Aptos、Hidden Road（被 $COIN 收购）等。其投资组合价值超越了核心业务（试想若核心业务如 $GOOGL 搜索般增长该多好）。$NBIS 现在拥有与 $FTX（加密）、$META（社交）相同的结构，但在人工智能领域，且核心业务真实且快速增长。Nebius 持有：1. Clickhouse（28%，估值约 70 亿，2025H1 营收 6.3 亿）；2. Avride（83%，估值约 60 亿，Uber 领投后）；3. Toloka AI（~65%，估值约 6.4 亿）；4. TripleTen（100%，估值约 3 亿）。Clickhouse 服务于 Anthropic、$META、$TSLA、$NET 等；Avride 是自动驾驶出租车公司，$UBER 投资 3.75 亿以竞争 Waymo；Toloka 是 AI 标注平台，被 Amazon、Microsoft 等使用。投资组合估值合计 76 亿，增速快于多数公开成长股。而其核心业务同比增长 700%+，ARR 达 70-90 亿，现金 48 亿，服务于 $META、$MSFT 等。这可能是其被纳入 MSCI 指数前最后一个月低于 90 美元的机会，将获数亿至十亿流入。相比 $IREN 或 $CIFR，$NBIS 是唯一拥有此类投资组合的数据中心成长股。$NBIS 仅估值 210 亿，市场正在忽视这一机会。
英文原文
Nebius [ $NBIS ] is the most undervalued growth company right now. And it has the potential to become the next $GOOGL at a $21B market cap. There's one simple reason: It's portfolio companies are mindblowing. The most incredible example on this concept is the company $FTX. Here's the story: When we look at how $META grew into a $1T+ company, it wasn't just Facebook. It was their portfolio companies Instagram, Whatsapp, and others made Meta dominate the social media landscape. $FTX was doing something similar, but in digital assets and frontier technologies. Four years ago, in 2021, $FTX invested $5.8B into a large basket of assets. And put a large chunk into these three core companies: 1. Anthropic, 13.56% at a $2.5 Billion valuation. 2. Robinhood [ $HOOD ] 7.6% at a $8.54B valuation 3. Solana [ $SOL ], 41M+ tokens. Fast forward to today, that would have been: · Anthropic in it's latest round is worth $350B. That stake would have been worth ~$47.4B. · Robinhood is now worth over $100B. That stake would be worth ~$7.6B. · Solana is now worth $131.5 per token, making the stake well over $5.7B. Those three companies alone generated well over $55B+ in value in 4 years time, and this is not even including FTX's tens of billions of dollars + hundreds of other investments + holdings in Chime, Layerzero, Aptos, Hidden Road (bought by $COIN), and crypto. Their portfolio companies outlasted their core business (and imagine, how much it would have been worth if the core business kept scaling like $GOOGL search did alongside Youtube). $NBIS now has the same setup as $FTX did in crypto, $META in social media, but in artificial intelligence with a legitimate and incredibly rapidly growing core business. Nebius owns: 1. Clickhouse, 28% at a ~$7B valuation ($6.3 H1 2025) 2. Avride, 83% at a ~$6B valuation. (post Uber raise) 3. Toloka AI, ~65% at a ~$640 million valuation 4. TripleTen, 100% at a ~$300m valuation. · Clickhouse powers Anthropic, $META, $TSLA, $NET, and many fortune 500 companies. · Avride is a self-driving car robotaxi company, spun out of Yandex that $UBER invested in a $375M round in to compete with Waymo. · Toloka is a AI labeling platform that Amazon, Microsoft, Anthropic, and Shopify uses. $1.96B + $4.96B + $416M + $300m = $7.6B valuation in portfolio companies that are growing faster than most public growth companies. But if we look at their core business that is scaling to 700%+ Y/Y to $7-9B ARR, with $4.8B in cash, powering $META, $MSFT, Cursor, governments, and many more... This might be the last month it's under $90 before it receives hundreds of millions to low billions of extra inflows from MSCI inclusion today. There's no other datacenter growth company that has this type of portfolio if we look at crowd favorites like $IREN or $CIFR. $NBIS is only valued at $21B and the market is sleeping on this opportunity.
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博主复盘整体盈利，详述NBIS、META等持仓盈亏及FLY长期逻辑。
总体来看我盈利颇丰。我刚才指的是上个月，当时像 $NBIS 这样的许多收益都被抹平了。 目前我在 $NBIS 上的持仓成本平均在 90 多美元，这让我感到意外。 $META 在最近几次看涨期权（option calls）交易中的成本均价为 640 美元，但由于我做了看涨期权，该头寸目前亏损六位数。 但我曾在 3000 美元时买入 $BTC，在 14 美元左右买入 $RKLB，在 20 美元时买入 $HOOD。 关于 $FLY，正如我之前的论点所述，这是基于 2026/2027 年中型有效载荷（medium-lift payloads）催化剂的投资。无论短期股价如何波动，都不会改变中型载荷是否研发成功的事实。 如果一年后他们最终未能研发出中型载荷且股价崩盘，你可以嘲笑我。
英文原文
Overall I'm up a lot. I was just referring to this past month where many of my gains like $NBIS were wiped out. I'm below cost average right now on $NBIS in the $90s, which was surprising. $META was $640 cost average on recent calls but I'm down 6 figures on that position since I did option calls. But I bought stuff like $BTC at $3k, $RKLB around $14 and $HOOD at $20. On $FLY as I said before in my thesis, it was a 2026/2027 catalyst play on medium-lift payloads. Whatever the stock price short term doesn't really change whether medium-lift developed. You can laugh at it if in a year if they end up failing to develop medium lift and stock price craters.
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宏观分化加剧，但股票基本面优于宏观逆风。
这是一个价值百万美元的问题，也说明了在全球市场高度互联的背景下，宏观环境有多么复杂。通常，三次降息是极其看涨的，往往会导致次年 $SPY 和 $QQQ 指数获得两位数涨幅。然而……此时日本央行(BOJ)正在加息。但如果美联储降息而日本央行加息，就会出现分化：美元融资成本更低，日元融资成本更高 -> 巨大的利差变化，这可能会加速日元套息交易(Yen Carry Trades)的平仓。我不知道确切答案。但我推测，我们可能已经看到了这些恐慌情绪的最坏阶段，许多高贝塔(High-Beta)股票在日本央行加息前提前下跌了40%。而且抛售导致许多像 $NBIS 或 $META 这样的股票脱离了基本面。所以有一点是肯定的：股票基本面 > 宏观逆风。
英文原文
So that is a million dollar question and speaks how to incredibly complex macro is given how interconnected markets are globally. Normally triple rate cut is extraordinarily bullish and normally leads to double digit $SPY $QQQ index gains the following year. However... this comes at a time where BOJ is raising rates. But If the Fed cuts and BOJ raises, you get a divergence: cheaper USD funding, more expensive JPY funding -> big differential changes, which could accelerate unwinding of yen carry trades. I don't know the answer. But my speculation is we've likely seen the worst of these fears play around where many high-beta stocks dropped 40% preemptively in advance of BOJ rate hike. And the sell-off has led many stocks like $NBIS or $META to be detached from fundamentals. So one thing is for sure though: fundamentals of stocks > macro headwinds.
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高确信度组合本月回撤，预期12月降息后反弹创新高。
@itsdsha 只能说，对于我高确信度组合中的 $ALAB、$HOOD、$IBIT、$META、$NBIS、$RKLB 和 $TSM 来说，这一个月确实不好过。预计随着12月降息落地，一个月后情况会好转。大多数短期保证金/期权交易者已被清算，而此类事件往往推动市场创出新高 https://t.co/YCzLLaArKa
英文原文
@itsdsha Let's just say it hasn't been a fun month for my high conviction port of $ALAB, $HOOD, $IBIT, $META, $NBIS, $RKLB, and $TSM for sure. Should be fine in a month come Dec rate cut. Most short term margin/option traders got liquidated, and events like these lead to higher highs https://t.co/YCzLLaArKa
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四大流动性冲击引发高杠杆资产暴跌，但AI巨头基本面未变。
市场刚刚经历了近代史上最严重的去杠杆冲击。 高贝塔资产正在崩溃： • $NBIS, $IREN, AI 股票从高点下跌约 40%+ • $MSTR, $BTC 在过去一个月暴跌 30-40%+ • 加密货币市值蒸发超过 1.2 万亿美元 这不正常，这是针对市场上增长最快且杠杆最高的板块的强制平仓。 以下是同时发生的四个流动性流失因素： 1. 加密货币前兆冲击（2025 年 10 月 – Binance 故障） • Binance 的定价错误导致 USDe 跌至 0.65 美元，在 24 小时内触发了超过 190 亿美元的强制清算 • 使用 USDe/wBETH/BNSOL 的高杠杆头寸（25x–50x）引发了全行业连锁保证金清算的连锁反应 • 该事件使加密货币结构脆弱，波动性现在威胁到流入 $MSTR/国债股票超过 70 亿美元的 MSCI 资金，存在 BTC/NAV 错配和强制出售比特币的风险 2. 美联储政策不确定性（降息鞭打效应） • 在美联储发出矛盾信号后两天内，市场对 12 月降息预期从 97% → 35% → 70%+ • 这种波动起到了隐性紧缩的作用，迫使杠杆基金和算法（在 $NVDA 财报后看到的情况）提前去杠杆 • 政策模糊性提高了全球风险，将美国的不确定性传导至全球融资市场的广泛抛售 3. AI 信贷压力（投机性债务破裂） • AI 建设需要 3.5 万亿美元的外部融资，促使公司大量进入债务市场 • Google + XAI 在 Similarweb 上的使用量提升引发了人们对 OpenAI 和循环融资的担忧，以及 $1T+ 的资本支出流向 $ORCL, $CRWV, $AMD 等公司，而这些公司并没有必要的资本。 • Applied Digital [ $APLD ] 23.5 亿美元垃圾债券（评级 B+）暴露了交易对手和集中度风险，由于需要更多债务来资助建设，其股票及相关数据中心股票下跌。 • 资本市场开始区分拥有真实现金流的公司和依赖投机性债务及 OpenAI 合同的公司，惩罚了如 $ORCL 和 $CRWV 等标的。 4. 日元套利交易平仓（催化剂） • 日本央行加息至 0.5% 及正常化缩小了美日利差，挤压了 80 万亿日元（约 5000 亿美元）的杠杆头寸 • 日本国债收益率上升引发回流资金，给美国收益率带来压力并抽干全球流动性 • 强制平仓导致投资者出售美国科技股和加密货币以偿还日元贷款，加剧了避险情绪的连锁反应 底线： 所有四个冲击都从市场的同一角落抽干了流动性——高贝塔、高杠杆资产，导致成长型科技和加密货币剧烈去杠杆，并增加了进一步强制抛售的风险。 过度的杠杆、脆弱的资产负债表和集中度风险决定了哪些资产跌幅最大。 美联储开启新一轮降息周期是一个“拐点”，投资者需要判断这种宽松是预防性措施还是对更严重衰退的反应。然而有一件事是确定的： 宏观冲击重置了估值，但并没有改变从 $NBIS 到 $META 的企业基本面。
英文原文
Markets just suffered their worst deleveraging shock in recent history. High-beta assets are collapsing: • $NBIS, $IREN, AI stocks are down ~40%+ from peaks • $MSTR, $BTC plunged 30-40%+ in the past month • Crypto erased over $1.2 trillion in value This wasn’t normal, it was a forced unwind across the markets with the most growth and leverage. Here's the four liquidity drains hitting at once: 1. Crypto precursor shock (Oct 2025 – Binance failure) • A pricing error on Binance sent USDe to $0.65, triggering $19B+ in forced liquidations in 24 hours • Highly leveraged positions (25x–50x) using USDe/wBETH/BNSOL cascaded into a chain reaction of cascading margin liquidations across the industry • The event left crypto structurally fragile, and volatility now threatens $7B+ MSCI inflows into $MSTR/treasury stocks, risking BTC/NAV mispricing and forced Bitcoin sales 2. Fed policy uncertainty (rate cut whiplash) • Markets priced a December cut at 97% → 35% → 70%+ in two days after conflicting Fed signals • This volatility acted as a stealth tightening, forcing leveraged funds and algorithms (seen post $NVDA earnings) to deleverage pre-emptively • Policy ambiguity raised global risk, transmitting U.S. uncertainty into broad selling across global funding markets 3. AI credit stress (speculative debt cracks) • AI build-out requires $3.5T in external financing, pushing companies heavily into debt markets • Google + XAI raise in usage per similarweb raised concerns about OpenAI and circular financing, alongside how $1T+ in capex spend going into $ORCL, $CRWV, $AMD, and others without having the ncessary capital. • Applied Digital [ $APLD ] $2.35B junk bond (rated B+) exposed counterparty and concentration risk, sending its stock and related data center stocks down due to the need of more debt to fund buildout. • Capital markets began differentiating between firms with real cash flow and those reliant on speculative debt and OpenAI contracts, punishing names such as $ORCL and $CRWV. 4. Yen carry trade unwind (the catalyst) • BoJ rate hikes to 0.5% and normalization narrowed the U.S.–Japan rate gap, squeezing ¥80T (~$500B) in leveraged positions • Rising JGB yields triggered repatriation flows, pressuring U.S. yields and draining global liquidity • Forced unwinds led investors to sell U.S. tech and crypto to repay yen loans, amplifying the risk-off cascade Bottom line: All four shocks drained liquidity from the same corner of the market, high-beta, leveraged assets, driving a violent unwind in growth tech and crypto and raising the risk of further forced selling. Excessive leverage, fragile balance sheets, and concentration risk determined which assets crashed the hardest. The beginning of a new rate-cutting cycle by the Fed is an "inflection point" as investors need to determine whether the easing is a preventative measure or a reaction to a more serious downturn. However one thing is for certain: The macro shock reset valuations, but it didn’t change the fundamentals of businesses from $NBIS to $META.
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分析NBIS融资优势及高利润率，认为其抗风险能力强于同行。
当然，我从产能融资的角度将 $NBIS 列为 S 级，因为它不受影响其他数据中心（DC）股票（如被迫发行垃圾债的 $APLD）的信贷紧缩影响。 从第三季度财报来看，$CRWV 面临 12.1 亿至 12.5 亿美元的利息支出，而现金等价物仅为 19.4 亿美元。 其他新云（neocloud）板块股票需要更多现金来资助建设并实现吉瓦（GW）产能变现，例如 $IREN，且将面临更高的利率或缺乏融资兴趣（如可转换债券）。 这大概就是板块抛售的原因，但部分抛售相对不合理（例如 $NBIS、$CIFR）。 对于 $NBIS，你可能关注的是其 25 亿美元的自动取款机（ATM）增发。凭借现有的 48 亿美元以上现金，他们足以支持全栈建设和产能变现，并可根据与 $META、$MSFT 的可见收入合同扩展未来产能。 但我个人对其 ATM 增发并不满意，因为这会增加成本影响股价，并抵消 11 月 24 日纳入 MSCI 指数带来的资金流入。 但 $NBIS 拥有 70-90 亿美元的年度经常性收入（ARR），拥有行业最高利润率，鉴于其 200 亿美元市值，这足以抵消 10% 的稀释和可转换债券的影响。
英文原文
Sure, I put $NBIS as S tier from that capacity funding angle because it's isolated from credit tightening affecting other DC stocks like $APLD (that had to sell junk bonds). From Q3 earnings, $CRWV is facing $1.21-$1.25B in interest expenses and only has $1.94 billion in cash equivalents. Other neocloud sector stocks will need more to cash fund buildout + monetize GW capacity ike $IREN, and will face higher interest rates or lack of funding interest (eg. convertibles). This is kind of why we're seeing a sector selloff, but some were relatively undeserved (eg. $NBIS, $CIFR). With $NBIS you're probably looking at their $2.5B ATM offering. With their existing $4.8B+ in cash, they have enough for their full-stack buildout and capacity monetization + and can scale future capacity from visible revenue contracts with $META, $MSFT. But I'm personally not happy with their ATM, since it's an overhead affecting stock price + balances out inflows from MSCI inclusion in 2 days Nov 24th. But $NBIS with $7-9B ARR has the highest margins in the industry, which would offset 10% dilution and convertibles given their $20B marketcap.
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Coreweave因高债务和OpenAI依赖被评F级，NBIS更优。
如果你花30秒读一下帖子，就会发现我并没有给 $BITF 评级。 关于 $CRWV，短期有上涨空间，因为抛售至60美元区间确实过度了。但中长期的债务利息负担过重。 相比之下，$NBIS 和 $IREN 通过可转换债券融资或低利息，每季度对利润率的侵蚀很小；而 Coreweave 每年支付的债务利息超过12亿美元。 此外，OpenAI 占其总积压订单的三分之一。虽然他们拥有一些有防御性的大型超大规模客户（$META, $MSFT）以及 $NVDA 的背书，但像 $ORCL 那样为 OpenAI 建设基础设施，鉴于其缺乏收入以及 Gemini ($GOOGL) 的竞争，存在相当大的风险。 因此，尽管 Coreweave 是备受好评的全栈式服务供应商，但由于荒谬的债务利息侵蚀利润率，加上积压订单高度集中于 OpenAI（合同不确定性），其评级为 F 级，而这并不影响像 $NBIS 这样多元化的全栈式服务供应商。
英文原文
If you spent just 30 seconds reading the post, you would see I didn't rate $BITF. With $CRWV there's short term upside because sell-off was way too much to the $60s. But medium-long term they have way too much debt interest. While $NBIS and $IREN funds through convertibles or little interest cutting into margins every quarter, Coreweave pays over $1.2B+ in annual debt expense interest. OpenAI also makes up 1/3th of their total backlog, so while they have some defensible hyperscalers ( $META, $MSFT) + $NVDA backstop, building out for OpenAI like $ORCL, presents considerable risk given their lack of revenue + Gemini $GOOGL competition. So they are F tier despite being a highly rated full-stack offering due to absurd debt interest cutting into margins + large concentration of backlog from OpenAI (contract uncertainty) that don't affect diversified full-stack offerings like $NBIS.
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期权到期引发波动，短期看算法，中长期看基本面。
明天有很多期权到期（如果你看 $NBIS 到 $META 等）。未平仓合约链(open interest chains)将被清洗。我想说从周一开始到1-2月，或者12月初会有复苏，但由于这是由算法驱动的，基本面没有太多实质性内容，不确定伟大的算法之神(algo gods)短期内会怎么做。中长期基本面更重要。
英文原文
lot of option expiration tomorrow (if you look at $NBIS to $META, etc). and open interest chains will get flushed. I want to say starting Monday into Jan-Feb, or maybe recovery in early December but since it's algorithmic driven with nothing too material to fundamentals, not sure what the great algo gods will do short term. Medium-long term fundamentals matter more.
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深度解析9只个股基本面与目标价，指导散户建立独立估值模型。
基于权益排名表： 以下是对每只股票的深入分析，以及我如何重新调整投资组合以利用市场重置： · $NBIS 现价 $92，目标价 $400 / 1年 · $RKLB 现价 $43，目标价 $500 / 5年 · $CRCL 现价 $72，目标价 $150 / 8个月 · $ALAB 现价 $143.4，目标价 $250 / 6个月 · $SNAP 现价 $8.1，目标价 $22 / 1年 · $CIFR 现价 $14.8，目标价 $28 / 6个月 · $RDDT 现价 $185，目标价 $275 / 8个月 · $SMCI 现价 $34，目标价 $55 / 6个月 · $HIMS 现价 $35，目标价 $60 / 6个月 此顺序基于发布时的持仓集中度权重，以及基于现有信息对中型市值（$50亿+）板块的内部目标价推测。 以下是每只股票及目标价时间框架的深入拆解，以及“定性”理由： 1. Nebius ($NBIS)：市值 $230亿。极度低估且与基本面脱节。 $70-90亿远期年度经常性收入(ARR)，20-30%息税摊销前利润(EBIT)，来自 Shopify、埃森哲、Cursor、外国政府的企业合同，以及来自 Meta 和微软的超大规模客户合同，为 Nebius 提供了收入可见性。拥有 $48亿+现金，使其免受影响数据中心的信贷紧缩影响。预计 2026 年签约容量达 2.5 GW，可与许多其他公司（如 $IREN 的 2.8 GW）媲美，并击败许多关于容量/电力的论点。由于其许多投资组合公司支持 Tesla 和 Anthropic 等公司，它也具有更高的增长潜力（想想 $MSFT 及其投资组合公司带来的长期防御性）。 此外，随着 $NVDA 第四季度业绩爆发，Jensen 澄清了反对 GPU 折旧的论点，这有助于提升数据中心板块情绪。 1年目标价 $400，基于远期收入/利润率估值达 $1000亿+。 2. Rocketlab ($RKLB)：市值 $220亿。短期高估，长期潜力低估。 Rocketlab 是我与比特币并列的最高确信度5年长线标的。在太空领域，并非赢家通吃，我维持 $3500-5000亿长期目标价以匹配 SpaceX 的最新估值/能力。 目前它被高估。但从纯技术角度看，构建可重复使用火箭构成了惊人且具防御性的护城河，我们正处于其端到端太空产品大规模商业化（可能在 ~2028 年）的早期阶段。 然而，市场正在计入 Flatlite 商业化（如 Starlink）和中程有效载荷（SpaceX Falcon 9）的远期增长。市场也计入远期增长，但对于 Rocketlab 而言，关键在于未来有多远。这始终是一个坚实的买入机会，取决于你对公司执行的耐心程度。 3. Circle ($CRCL) - 市值 $160亿，低估。 对于 Circle，自其市值 $500亿以来我就看空，建议做空 Circle，做多 Coinbase，因为 $COIN 与 Circle 有 50% 的收入分成。 此前因流通股本数字和财报后/12月2日巨大的内部人锁定期导致抛售（类似 $BULL）而被高估。流通股本动态很重要，像 Cathie Wood 这样的 ETF 经理似乎不理解（因此我的警告）。 但现在我们达到了合理的估值水平。我预计 USDC 商业化将继续，鉴于数字资产市场的监管重点，我看到 $CRCL 将接管 Tether 的大部分市值。 话虽如此，一旦我们看到内部人股份重新分配给机构和长期持有者，计入稳定币交易量增长，它完全值得 $300亿+的市值定价。 4. Astera Labs ($ALAB) - 市值 $220亿，估值合理 ALAB 是我中期高确信度选股之一，因为 Mag7 采用其连接技术用于数据中心建设。 增长极高，利润率类似 $NVDA，约为 ~74%，最新估算：$2.3亿/季度（同比增长 101%）。我的论点是，如果 Mag7 依赖某家公司（$NVDA 用于 GPU，NBIS、IREN、CIFR 用于 DC AI 云建设），该公司将连续几个季度大幅超出预期，我们正看到这一点。 尽管全面超出业绩预期，Astera 最近从 $250 抛售回 $140 区间，这提供了一个良好的买入机会。 我维持中期目标价 $250，以在 NVDA 业绩后及 Anthropic $400亿 DC 到 $GOOGL 在德克萨斯州 $500亿 DC + 连接需求创纪录的数据中心建设后恢复。 5. Snapchat ($SNAP) 市值 $130亿，低估。 $SNAP 是我最不喜欢的股票和 CEO 之一（抱歉 Evan）。 然而，我无法反驳基本面的变化。我最近论点帖子的 TLDR 是，他们正在削减来自存储 10 年前记忆/视频的巨大运营支出膨胀，如果你查看他们的 GCP 托管费用，这会侵蚀利润率。 现在他们既减少了该 OPex 成本，又从中增加了收入。我们还有与 Perplexity 的 AI 交易，增加了 $4亿+的额外收入流，如 RDDT。 然而，短期内由于相对于 AI 公司的表现不佳，它正遭受税务收割。在 2026 年 Q1，我预计市场将开始大幅计入新的基本面，该公司将大幅超出预期。 话虽如此，随着市场计入新动态，我预计从此处 1 年内有超过 200%+ 的上涨空间。 5. CIFR ($CIFR) - 市值 $50亿，低估 $CIFR 是 Neocloud 板块中我最喜欢的第二只股票。据记忆，其资产负债表上持有大量比特币，并受到 BTC 价格从 $120k 跌至 $90k 的实质性影响。 然而，我预计随着级联保证金清算结束且机构以低价买入比特币，加密资产价格将在几个月内恢复。 Nebius 位居榜首，因为它拥有完整的 AI-云价值链，具有更高的收入潜力和更强的回报，尽管这迫使他们处理编排、软件和 GPU 生命周期风险，而不是坚持托管。 然而，$CIFR 避免了整个风险面，并拥有 AMZN 和 GOOGL 的支持作为长期收入锚点。它也免受 GPU 采购、管理和折旧的影响。 对于 CIFR 的经济模型，我们获得了一个基于超大规模客户空间、电力和冷却的高利润率、年金结构。经风险调整后，它是该组中最安全的名称之一。但权衡是上涨空间受限。像 10 年、15 年这样的长期租赁减缓了收入爬坡，并相对于从 $1.45亿季度收入到一年内 $21亿的全栈 Neocloud 运营商（如 NBIS）削弱了回报。 话虽如此，一旦市场计入 $AMZN、$GOOGL Fluidstack 收入且比特币价格恢复，我维持 1 个月后的 $28 目标价。 6. Reddit ($RDDT) - 估值适中 来自 WSB 子版块 Wendy's 垃圾桶的我，自然对这个平台有偏见。 然而，Reddit 最初从 $270 的抛售是由于对 ChatGPT 引用的担忧，这是不重要的。现在，最新数据显示引用回来了，但 Reddit 的价格仍停留在 $185（远低于该数字）+ 部分由于宏观因素。 Reddit 是最不臃肿、高利润的社交媒体公司之一。由于年轻和年长受众的网络效应的长期防御性（与 Snap 9亿+ MAU 主要为年轻一代相比），它将长存。 我预计 RDDT 将通过收购（如 $HOOD 交易所）扩大货币化途径，得益于其巨大的自由现金流(FCF)和盈利能力，或者像 Facebook 最初收购 WhatsApp、Instagram、构建 Messenger 一样。这是一只低风险、高增长的股票，因此我维持 8 个月后的 $275 目标价。 7. SMCI ($SMCI) - 低估，市值 $200亿。 $200亿市值是个笑话。无话可说。他们正在实现 $50亿季度收入（当然利润率较低）。然而，市场正在计入公司收入下降。 SMCI 将大部分积压订单推迟到 2026 年 Q2，这与 Neoclouds 到 Mag7 客户的许多数据中心建设相一致。 他们预计明年收入同比增长 50%+，至少 $360亿收入，但鉴于 NVDA 业绩爆发带来的数据中心建设，我预计服务器机架公司如 $DELL 和 SMCI 将在 2026 年 Q2 表现优异。 这就是为什么我利用当前季度的收入滞后延迟，并分配 6 个月后的 $55 目标价。 8. Hims and Her Health ($HIMS) - 低估（市值 $80亿） 个人而言，我仅将 HIMS 用于短期交易突破。我一直不长期持有高于 $50 的股票。 然而，回到 $35，它重置了今年大部分的增长，但收入同比增长 49% 至 $5亿，并产生大量自由现金流。 最被低估的叙事是 Zava 收购。这为 HIMS 平台增加了 130万+用户，并使公司能够扩展到欧盟市场。 类似于 META 收购 Instagram 等公司，扩大基础+货币化，我预计 HIMS 将对 Zava 做同样的事情 + 市场正在计入当前的 Zava 估算数字。 这可能是我信心最低的股票，尤其是 CEO 在离开后出售股份，在 $70 时的 SS 帖子让我味道不好 👀。 但话虽如此，这是一个在 6 个月时间内反弹至 $60 的好机会。 希望你喜欢我的观点。有很多关于价格的帖子，但我试图留下更定性的拆解（+ 部分定量，但省略很多技术内容以便阅读），以帮助散户建立自己的确信度和理解。 建立理解对于创建你自己的内部估值模型很重要，而不是盲目跟随 FinX 发帖人 + 当股价暂时下跌时投降。 如果你留下你的投资组合+集中度，我很乐意讨论更多。
英文原文
Based on the equity ranking table: Here's a deeper analysis of each stock, alongside how I reposition my portfolio to capitalize on the market reset: · $NBIS at $92, PT $400 / 1Y · $RKLB at $43, PT $500 / 5Y · $CRCL at $72, PT $150 / 8M · $ALAB at $143.4, PT $250 / 6M · $SNAP at $8.1, PT $22 / 1Y · $CIFR at $14.8, PT $28 / 6M · $RDDT at $185, PT $275 / 8M · $SMCI at $34, PT $55 / 6M · $HIMS at $35, PT $60 / 6M This is in order of concentration weighting from when posted and internal PT speculation based on existing information for mid-cap ($5B+) sections. Here’s a deeper breakdown on each one and PT timeframe, and a “qualitative”why: 1. Nebius ( $NBIS ): $23B marketcap. Incredibly undervalued and detached from fundamentals. $7-9B forward ARR, 20-30% EBIT, enterprise contracts from Shopify, Accenture, Cursor, foreign governments and hyperscaler contracts from Meta and Microsoft give Nebius revenue visibility. With $4.8B+ in cash, it's isolated from credit tightening affecting data centers. With 2.5 GW expected capacity contracted 2026, it rivals many others eg. $IREN at 2.8 GW, and defeats many of the capacity/power arguments. With many portfolio companies powering companies like Tesla and Anthropic, it also has higher growth potential (think $MSFT with its portfolio companies for longer defensibility). We also had stellar $NVDA earnings going into Q4 with their blowout, Jensen clarifying arguments against GPU depreciation, which helps with DC sector sentiment. $400 1 year price target, $100B+ valuation given forward revenue/margins. 2. Rocketlab ( $RKLB ): $22B marketcap. Overvalued current term, undervalued long term potential. Rocketlab is my highest conviction 5Y long alongside Bitcoin. With Space, it's not winner takes all, and I've maintained $350-500B long term PT to match SpaceX’s most recent valuation/capabilities. As of now, it's overvalued. But it's an incredible + defensible moat from purely a technological standpoint building reusable rockets and we're early in terms of commercialization of their end-to-end space products at scale (likely ~2028). However, we're pricing in forward growth with Flatlite commericalization (eg. Starlink), and medium-lift payloads (SpaceX Falcon 9). The market prices in forward growth as well but it’s more about how long in the future with Rocketlab. It's always a solid buy, depending on how patient you are with company execution. 3. Circle ( $CRCL ) - $16B marketcap, undervalued. With Circle, I've been bear posting it since it was a $50B marketcap, saying short Circle, long Coinbase, given $COIN has 50% revenue sharing with Circle. It was overvalued due to float numbers and massive insider lockups 2-3 days after earnings/Dec 2nd led to a sell-off (like $BULL). Float dynamics matter a lot that ETF managers like Cathie Wood seem to not understand (hence my warnings). But now we're reaching respectable valuation numbers. I expect USDC commercialization to continue and given a regulatory focus in the digital asset market, I see $CRCL taking over a lot of Tether's marketcap. That being said, it's well deserving of a $30B+ marketcap pricing in stablecoin volume growth once we start seeing insider shares redistributed to institutions and long term holders. 4. Astera Labs ( $ALAB ) - $22B marketcap, reasonable valuation ALAB was one of my mid-term high conviction picks, due to Mag7 adoption of connectivity for datacenter buildout. Incredibly high growth and $NVDA-like margins sitting at ~74%, latest er: $230m/q (101% Y/Y growth). My thesis was that if Mag7 is dependent on a company ($NVDA for GPUs) ( NBIS, IREN, CIFR for DC AI cloud buildout), the company will blow away expections quarter after quarter, and we're seeing this. There's been a recent sell-off on Astera from $250 back to $140 marks, depsite beating earning expectations across the board and this presents a good buying opportunity. I maintain a medium term PT $250 for recovery after NVDA earnings and record-high DC buildout from Antrophic's $40B DC to $GOOGL's $50B DC in Texas + connectivity demand. 5. Snapchat ( $SNAP ) $13B marketcap, undervalued. $SNAP is one of my least favorite stocks and CEO's (sorry Evan). However, I can't argue with fundamental changes. A TLDR of my most recent thesis post was that they're cutting their massive opex bloat from memories/videos stored 10 years ago and if you look into their GCP hosting fees, it's cutting in margins. Now they're both reducing that OPex cost and increasing revenue from that. We also have AI deals with perplexity adding $400m+ additional revenue streams like RDDT. However, short term it's suffering from tax-harvesting due to underperformance this year relative to AI companies. In 2026 Q1, I expect the market to start pricing in the new fundamentals Hard. and for this company to beat expectation soundly. That being said I expect over a 200%+ upside 1Y from here with the market pricing in the new dynamics. 5. CIFR ( $CIFR ) - Undervalued at $5B marketcap $CIFR is my second favorite stock in the Neocloud sector. From memory, it holds a lot of Bitcoin on its balance sheet and is materially affected by the selloff in BTC prices from $120k to $90k. However I expect crypto asset prices to recover in a few months once cascading margin liqudations finish and instituions buy-in Bitcoin at low prices. Nebius is top because it owns the full AI-cloud value chain for higher revenue potential and stronger returns, even though it forces them to handle orchestration, software, and GPU lifecycle risk instead of sticking to colocation. However, $CIFR because it avoids that entire risk surface and has backing from AMZN and GOOGL for long term revenue anchors. It also stays insulated from GPU procurement, management, and depreciation. For CIFR's economics we get a a high-margin, annuity structure built on space, power, and cooling for hyperscalers. Risk-adjusted, it’s one of the safest names in the group. But the trade-off is capped upside Long leases like 10Y, 15Y slow the revenue ramp and mute the payoff relative to full-stack Neocloud operators like NBIS that go from $145m quarterly revenue to $2.1B in a year. That being said I maintain a $28 PT in 1 month once market prices in $AMZN, $GOOGL Fluidstack revenue and Bitcoin prices recover. 6. Reddit ( $RDDT ) - Moderate valuation Coming from the Wendy's dumpsters on WSB subreddit, I am naturally biased toward this platform. However, the initial sell-off of Reddit at $270 was due to fears over ChatGPT citations, which was immaterial. Now, recent data shows that citations are back, but Reddit's price still sits at $185 (way below that number) + partly due to macro. Reddit is one of the least bloated, highly profitable social media companies. And it's here to stay due to long term defensibility of the network effect of both younger + older audiences (compared to Snap 900m+ MAU of mostly younger generation). I expect RDDT to scale up monetization avenues through acquisitions like $HOOD (exchanges) due to their massive FCF and profitability or how Facebook originally acquired WhatsApp, Instagram, built out messenger. It's a low-risk, high growth stock, which is why I maintain a $275 PT in 8 months. 7. SMCI ( $SMCI ) - Undervalued, $20B marketcap. $20B marketcap is a joke. Nothing else to say. They're doing $5B quarterly revenue (off lower-margins for sure). However, market is pricing in the company revenue dropping. SMCI quoted majority of the backlog delay to Q2 2026, which aligns with a lot of the DC buildout from Neoclouds to Mag7 customers. They expect revenue to grow 50%+ Y/Y next year, with at least $36 billion revenue, but judging from DC buildout from blowout NVDA earnings, I expect server rack companies like $DELL and SMCI to outperform Q2 2026. This is why I'm taking advantage of revenue lag delays from the current quarter and assigning a $55 PT in 6 months time. 8. Hims and Her Health ( $HIMS) - Undervalued ( $8B marketcap) Personally, I've used HIMS just for short term trading breakouts. And I've been one to not long-term hold the stock above $50. However, back at $35, it's reset most of the year's growth but grew revenue 49% Y/Y to $500m and is producing a good amount of FCF. The most under-priced narrative is the Zava acquisition. This adds 1.3M+ users to the HIMS platform and allows the company to expand to the EU market. Similar to how META acquires companies like Instagram, grows its base + monetizes, I expect HIMS to do the same with Zava + market is pricing in current est. Zava numbers. It's probably my least confident stock out of the bunch, especially leaving me with a bad taste with the CEO selling shares after leaving 👀 on SS posts back at $70. But that being said it's a great rebound opportunity to $60 in a 6 month timeframe. Hope you enjoyed my perspective. There's a lot of x at price posts, but I try to leave a more qualitative breakdown (+ part quantitative but leave out a lot of technical for easier reading) to help retail develop their own conviction and understanding. Building understanding is important to create internal valuation models yourself rather than blindly following along FinX posters + capitulating when stock prices temporarily drop. Happy to discuss more if you drop your own portfolio + concentrations.
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分析AI基础设施供应商来自微软、Meta及企业客户的强劲收入与增长潜力。
$194亿 $MSFT 5年，$38.8亿/年 / 4 = $9.7亿。 $30亿 $META 5年，$6亿/年 / 4 = $1.5亿 这仅仅是两个超大规模云服务商(hyperscaler)的合同。他们的核心业务是企业客户，如 Shopify、Cursor、埃森哲(Accenture)以及政府等。（例如今年年化经常性收入(ARR)为$11亿，增长非常迅速）。 仅来自 Meta/MSFT 的季度收入为$11.2亿，来自企业客户的约$10亿/季度，再加上更多带有互联网关(GW)容量的合同。
英文原文
$19.4B $MSFT 5 years $3.88B/year / 4 = $970m. $3B $META 5 years, $600M/year /4 = $150m That's just two hyperscaler contracts. Their core business are enterprises like Shopify, Cursor, Accenture + Governments and so on. (eg. $1.1B ARR this year, growing very rapidly). $1.12B/quarter from just Meta/MSFT alone, ~1B/quarter from enterprise clients + more contracts with connected GW capacity.
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个股基本面优于宏观，NBIS强劲基本面使回调成买入良机。
因为个股基本面比宏观更重要。 $ETH、$SOL 等加密市场是另一回事，存在连锁的50倍杠杆保证金清算，但股票有自由现金流(FCF)/盈利支撑市值。 以 $NBIS 为例，当预期年度经常性收入(ARR)从20亿美元增至80亿美元，拥有来自 $META 和 $MSFT 的220亿美元+合同积压，且EBIT利润率达20-30%时，25个基点的降息并不会导致股价下跌30%。 如果盈利开始不及预期+预期收入/利润率开始下降，那么人们开始抛售是合理的。然而，当我们看到全面增长时，抛售就成了买入机会。
英文原文
Because individual stock fundamentals matter more than macro. $ETH, $SOL crypto markets are a whole different beast with cascading 50x leverage margin liquidations, but with stocks you have FCF/earnings backing up the market cap. With $NBIS for example, when you go from projected $2B ARR to $8B ARR, 20-30% EBIT margins backed by a $22B+ contract backlog from $META and $MSFT, 25BPS rate cut doesn't affect the stock price by -30%. If earnings started to miss + projected revenue/margins started to decrease, then people would be warranted to start selling. However, when we're seeing increasing growth across the board, the sell-off becomes a buying opportunity.
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博主回顾过往交易盈亏，并列出近期市场下跌中的买入标的。
感谢在 $RDDT 上关注我！想到自己曾从温迪（Wendy's）快餐店垃圾桶旁起步，深感荣幸与谦卑。 许多卖出操作如 $CRCL、$BMNR、$RGTI 最终都兑现了收益。随着市场下跌，大量买入机会如 $NBIS、$SNAP、$META、$RDDT、$ALAB、$IBIT、$WULF、$CIFR、$RKLB、$WLAC 或 $TSM 目前出现。 我需要跟进许多标的，本周我会再发一篇类似帖子。
英文原文
Thanks for following me on $RDDT! Very humbled by my regarded roots behind the Wendys dumpsters. Lot of the sells like $CRCL, $BMNR, $RGTI finally played out. Tons of buys like $NBIS, $SNAP, $META, $RDDT, $ALAB, $IBIT, $WULF, $CIFR, $RKLB, $WLAC, or $TSM right now from the market drop. I need to catchup on a lot of names and I'll make another post like that this week.
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建议趁市场广泛抛售，买入基本面增长的股票。
@hereforgoodish2 现在有太多优质的买入机会了。买入 $META、$NBIS、$SNAP、$RDDT、$ALAB、$IBIT、$WULF、$CIFR、$RKLB、$WLAC 或 $TSM 都不会出错。 我肯定还漏掉了一些，但这次抛售范围很广，所以这是买入基本面正在增长的股票的好时机。
英文原文
@hereforgoodish2 There's too many good buys right now. Can't go wrong with $META, $NBIS, $SNAP, $RDDT, $ALAB, $IBIT, $WULF, $CIFR, $RKLB, $WLAC, or $TSM. I'm sure there's more I missed out but the selloff was broad so it's a good chance to buy into stocks with growing fundamentals.
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成长股因宏观恐慌错杀，机构逢低吸纳，是最佳买入窗口。
目前市场正目睹大多数成长股下跌。 过去5天： · Cloudflare [ $NET ]: $192.99 (-15.23%) · Rocketlab [ $RKLB ]: $42.50 (-19.35%) · Iren [ $IREN ]: $46.6 (-28.74%) · Hims [ $HIMS ]: $35.15 (-15.61%) 已失去近期涨幅。为何？ 目前我们看到机械性对冲下行，混合着类似加密市场的实时级联保证金清算。 这还混合了基于宏观的投降式抛售，包括对12月降息概率的半合理担忧、政府停摆导致的数据缺失，以及多家对冲基金发布的AI看空报告。 最重要的一点是：尽管许多个股基本面正在改善。 我们看到像： $NBIS 将ARR指引从分析师预期的$4B上调至$7-9B，本周却跌去26.85%。 我们也看到 $SNAP 在发布$4B惊喜的Perplexity交易后，吹爆营收指引，却失去了财报后的所有涨幅。 此时，我们正接近12月“圣诞老人行情”前的底部，机构正在暗池/大宗交易中买入杠杆交易者的比特币清算资金，转向$NBIS等优质股票。 如果未来增长和基本面放缓，此次下跌后的持续抛售是合理的。 然而，如果许多成长股的基本面完好，这次市场重置是自4月关税抛售以来，从$KRKNF到$ALAB的成长股最佳买入机会。 正如Robinhood [ $HOOD ]数据显示，散户在$IREN等热门股上，在$45-$50底部大量卖出，但在$MSFT交易后$80顶部买入。 散户往往在顶部追高，但在下跌后底部投降。 这是伟大的重置，而非导致熊市的持续崩盘。保证金清算后及弱势筹码向长期投资者转移，将带来新高。 话说回来：你认为目前被抛售最严重的高Beta股票是哪只？
英文原文
Markets are seeing a drop in most growth stocks right now. In the past 5 days: · Cloudflare [ $NET ]: $192.99 (-15.23%) · Rocketlab [ $RKLB ]: $42.50 (-19.35%) · Iren [ $IREN ]: $46.6 (-28.74%) · Hims [ $HIMS ]: $35.15 (-15.61%) have lost their recent gains. Why? Right now, we're seeing mechanical hedging downward, mixed with live cascading margin liquidations slightly mirroring the crypto markets. This is mixed with capitulation based on macro with semi-valid concerns from December rate cut odds, lack of data from Gov shutdown, and AI short reports from several hedge funds. The most important thing to note is that: This is despite improving fundamentals in many individual stocks. We've seen companies like: $NBIS raise ARR guidance from $7-9B from projected analyst $4B marks, and sell off 26.85% this week. and we've seen $SNAP lose any gain from post earnings, after blowout revenue guidance from a $400M surprise perplexity deal. At this point, we're nearing the bottom before the December Santa Rally, with institutions buying up leverage trader Bitcoin liquidations to quality stocks like $NBIS in dark pools/block trades. If forward growth and fundamentals were slowing, continued selling after this drop would be warranted. However, if fundamentals are in tact for many growth stock, this market-wide reset is the best buying opportunity for growth stocks from $KRKNF to $ALAB since the April tariff sell-off. As seen with Robinhood [ $HOOD ] data on popular retail stocks with $IREN, retail is heavily selling the bottom at $45-$50, but bought in at the top post $MSFT deal at $80. Retail is often the ones to chase buying at the top. But capitulate at the bottom after the drop. This is the great reset, but not a continued crash leading to a bear market. Stock post-margin liquidations and weak hands moving to long-term investors leads to new highs. That being said: what high-beta stock do you think is the most sold off right now?
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澄清 $NBIS 收入预测，强调其受超大规模云厂商驱动的惊人增长。
这里没人说过 $NBIS 在 2026 年会有 80 亿美元的实际收入(Realized Revenue)。不太明白你想表达或争论什么。 自财报发布以来，我一直坚持 80 亿美元的中位年化经常性收入(ARR) 观点，预计实际收入约为 36 亿至 42 亿美元，第四季度季度收入约为 21 亿美元。 $NBIS 正从 1.46 亿美元的季度收入增长至 21 亿美元，耗时略超 1 年，这种令人瞠目的增长仅在本十年因 $MSFT 和 $META 等超大规模云服务商(AI Hyperscalers) 的 AI 收入漏斗而实现。 这是十年一遇的机会，但你做的这种区分没有必要，因为我还没在评论区看到有人产生这种混淆。
英文原文
Nobody said here $NBIS would do $8B realized revenue in 2026. Not quite sure what you're trying to say or argue. I've been consistent on $8B midpoint ARR after earnings with likely ~$3.6B-4.2B realized revenue and ~$2.1B quarterly revenue Q4. $NBIS is ramping up from $146M quarterly revenue -> $2.1B in slightly over 1Y time, which is just mind-numbing growth and only achievable in this decade because of $MSFT $META hyperscaler revenue funnel from AI. Once in a decade opportunity, but the distinction you're making isn't necessary since I haven't seen anyone make that confusion in the comments yet.
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Nebius是纯新云AI基建标的，无债务与执行风险，具极高非对称上行潜力。
Nebius [ $NBIS ] 现价 $86.69，是剩余最纯粹的“新云”(Neocloud) 和 AI 基础设施非对称性机会。 这是收入最高的、未受 $CIFR | $WULF 及数据中心(Colo) 提供商影响的 Neocloud 标的，且没有以下问题： - 不像 $IREN、$ORCL 那样面临全栈执行带来的巨大不确定性。 - 不像 $CRWV、$APLD 等那样背负高额利息债务。 - 不像 $CLSK、$BITF、$WYFI、$SLNH 等那样在超大规模超大规模云服务商(Hyperscaler) 合同上存在收入不确定性。 在 AI 板块因恐惧情绪蔓延而普遍下跌后： Nebius 依然推进：明年年化经常性收入(ARR) 中值为 $80 亿，现金超 $47 亿，企业客户多元化（包括 $META、$MSFT、$ACN、$SHOP、政府机构），高增长投资组合公司，以及经过验证的高利润率全栈业务。 鉴于需求极度旺盛、执行不确定性（利润率）以及与当前困扰市场的 OpenAI 合同依赖和信贷收紧问题相隔离： 在非对称上行潜力方面，没有任何标的能接近 Nebius。 你只需等待公司的执行落地。
英文原文
Nebius [ $NBIS ] at $86.69 is the purest Neocloud and AI-infra asymmetry left. This is the highest revenue Neocloud untouched by $CIFR | $WULF and colo providers that has no: - Plaguing uncertainty that $IREN, $ORCL face from full-stack execution. - High interest debt that $CRWV, $APLD, and others face. - Revenue uncertainty at scale with Hyperscaler contracts that $CLSK, $BITF, $WYFI, $SLNH, and others lack. After the market-wide drop with the AI sector overrun by fear: Nebius is going forward with: $8B midpoint ARR next year, $4.7B+ in cash, diversification in enterprise clients from ( $META, $MSFT, $ACN, $SHOP, Governments), hyper-growth portfolio companies, and a proven full-stack high-margin business. With extreme demand, execution uncertainty (margins), and isolation from current issues plaguing the markets with OpenAI contract dependency and credit tightening: Nothing even comes close to Nebius in terms of asymmetrical upside. You are simply just waiting for company execution.
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分析NBIS高增长与融资优势，认为综合估值被低估。
我认为你的评论正好指出了 $NBIS 增长有多疯狂：从本季度1.46亿美元营收跃升至明年单季度21亿美元以上。 因此，我们应基于 $MSFT 合同（约190亿美元，5年）、$META（30亿美元，5年）、常规客户（Cursor、Shopify等）及政府合同来审视其未来增长（明年营收），而非当前数据。 他们像 AWS 一样提供全栈 AI 云；Nebius 获取 GPU 和基础设施初始资金的方式是股份销售（可转换票据，在138美元估值下稀释40亿美元）及随时出售2500万股。这远比 $CRWV 那样承担数十亿9%-10%利息更优，因为后者会随时间直接损害利润率。 这立即为其资产负债表增加数十亿（目前现金47亿美元），用于购买 GPU 等。 然而，规模化所需的大部分现金来自合同营收，$NBIS 毛利率达50-70%，预计 EBIT 为20-30%，是利润率最高的新型云厂商之一。 话说回来，若计入现有稀释（10%+可转换票据），再看47亿美元现金、来自 Clickhouse 等投资组合资产的70多亿美元净资产值(NAV)，以及明年80亿美元预计年化经常性收入(ARR)及其利润率，它看起来完全被低估。 但若仅看本季度营收，它看起来则被高估。
英文原文
I think your comment just pointed out at how crazy $NBIS growth is going from $146m revenue this quarter to $2.1B+ next year a quarter. So we look at future growth (next year), rather than current numbers based on $MSFT contract (~$19B, 5 years), $META ($3B, 5 years), and their regular clients (cursor, shopify, etc) + government contracts for revenue. They do full stack AI cloud like AWS; how Nebius gets their initial funding for GPUs and infrastructure is share sales (convertible notes, $4B dilution at $138) and 25m share sales anytime. This is much preferred over 9%-10% interest on billions like what $CRWV is doing, since this directly hurts margins over time. This immediately adds billions into their balance sheet (they have $4.7B cash now), which they use on GPU purchases, etc. However, majority of the cash needed for scaling comes from contract revenue, $NBIS was doing 50-70% gross margins and projected 20-30% EBIT and is one of the highest margin neoclouds. That being said when you price in existing dilution (10% + convertibles), then look at the $4.7B cash on hand, $7B+ in NAV from portfolio company assets like Clickhouse, $8B projected ARR next year with thier margins, it looks completely undervalued. But if you look at it at just this current quarter's revenue, it looks overvalued.
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NBIS股价脱离基本面，宏观抛售属误杀，当前估值极具吸引力。
我可以99.9%地向你保证，$NBIS 80亿美元年度经常性收入(ARR)的预期在几个月前并未被计入股价，分析师/市场当时的预期约为20亿美元（约2-3个月前）。 而现在我们的交易价格低于$MSFT 交易宣布后的水平（约90-100美元）。 考虑到190亿美元的交易和收入爬坡，像Northland这样的看多机构分析师曾预测40亿美元ARR。看多派FinX（包括我自己）随着明年下半年另一笔超大规模云厂商交易的达成，将预期上调至60亿-70亿美元。 随后宣布80亿美元中位ARR至90亿美元，产能达2.5 GW（人们一直说$IREN 在2.8-~3.2 GW方面拥有巨大护城河），以及在同一季度意外宣布与$META 的交易（叠加$MSFT 交易），完全是个惊喜。 然而，财报后整体下跌26%是宏观因素导致的无差别抛售，并非因为上述第1、2、3、4点关于个股预期的原因。 重点是$NBIS 股价目前完全脱离了基本面，这次抛售简直是个笑话。
英文原文
I can 99.9% assure you that $NBIS $8B ARR expectations were not priced in months ago, analysts/markets were expecting around $2B ARR (~2-3 months ago). And now we're trading at lower levels than after the $MSFT deal was announced (~ $90-$100). Factoring in the 19B deal and revenue ramp, bull-case institutional analysts like Northland were projected $4B ARR. Bull case FinX (including myself) went upward to $6B-$7B with another hyperscaler deal later next year. Then announcing $8B midpoint ARR to $9B, capacity to 2.5 GW (which people kept saying $IREN was had a huge moat for 2.8-~3.2 GW), and an unexpected $META deal the same quarter as $MSFT on top was a complete surprise. However, the broader -26% drop after earnings was macro and indiscriminate sell-off, not because of points #1, #2, #3, and #4 for individual stock projections. The point was $NBIS stock price is completely detached from fundamentals right now and the sell-off was a joke.
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NBIS财报数据大幅超预期却暴跌26%，令人费解。
我想知道市场在 $NBIS 上到底抽了什么。 财报发布情况如下： 1. 最乐观的分析师预测年度经常性收入(ARR)为 40 亿美元。 2. 实际表现超出该数字 100%，预计达到 80 亿美元。 3. 签约产能指引超出 150% 以上，达到 2.5 GW。 4. 宣布与 $META 达成意外的 30 亿美元合同。 5. 股价暴跌 26%。
英文原文
I want whatever the market is smoking with $NBIS. Goes into earnings: 1. Most bullish analyst projects $4B ARR 2. Beat that number by 100% with $8B projected 3. Beat contracted capacity guidance by 150%+ to 2.5 GW 4. Announce surprise $3B contract with $META 5. Drops 26%
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NBIS暴跌后机构逆势增持，基本面强劲，维持$400目标价。
Nebius ($NBIS) 上月暴跌 -33.61%，市值跌至 210 亿美元。 尽管如此，最新的 13F 文件数据显示 $NBIS 的机构持股比例上升： · 38.36% → 44.6% 🟢 (+6.24%) Fintel 的数据则更接近 ~46.3%。 Nebius 是一家市值 210 亿美元的全栈新云(Neocloud)服务商： · 远期年度经常性收入(Forward ARR) 达 70-90 亿美元（同比增长 700%+），EBIT 利润率 30%，为 $MSFT Azure、$META | 从 Cursor 到 Shopify 的企业 | 以及政府提供动力。 · 现金超 47 亿美元，投资组合公司净资产价值(NAV) 超 70 亿美元，这些公司支撑着 Cloudflare、Tiktok、Tesla、Netflix 和 Anthropic。 正如上月所料，机构开始意识到这种一代人一次的增长机遇，因为新云(Neocloud)是 AI 数据中心建设及 Mag7 AI 算力的核心。 Nebius 的机构持股比例一直较低 (<28%)，这源于其非典型的 IPO 方式。对于高价值公司，机构持股通常在 60-80% 之间。 因此，我们看到机械性抛压 + 散户投降 + 保证金清算 -> 通过暗池/大宗交易 -> 机构在低位吸筹。 这种吸筹模式并未改变，我们之前在 Robinhood (S-st) 上也见过同样的故事，其机构持股现已达 74.62%，此前股价从 $20 涨至 $150。 非理性的恐惧和投降是机构从散户手中吸筹的方式。近期的下跌是股价变化，而非基本面恶化。$NBIS 的 1 年目标价仍为 $400。 当远期增长支撑市值预测时，这只是时间和执行力的问题。
英文原文
Nebius ( $NBIS ) crashed -33.61% last month, falling to a $21B market cap. Despite this, new 13F filing data shows $NBIS institutional ownership increase: · 38.36% → 44.6% 🟢 (+6.24%) with Fintel placing it closer to ~46.3%. Nebius is a $21B MC full-stack Neocloud with: · $7-9B forward ARR (700%+ Y/Y), 30% EBIT margins, powering $MSFT Azure, $META | enterprises from Cursor to Shopify | and Governments. · $4.7B+ Cash, $7B+ NAV in portfolio companies that power Cloudflare, Tiktok, Tesla, Netflix and Antrophic. As expected from last month, institutions are starting to realize this once-a-generation growth, as Neoclouds are the center of the AI DC buildout and Mag7 AI compute. The institutional ownership of Nebius was always low <28%, due to how their unusual IPO. With high-value companies, ownership typically ranges from 60-80%. So, we're seeing mechanical flows down + retail capitulation + margin liquidation- > dark pools/block trades -> for institutions to accumulate at lower prices. This type of accumulation pattern has not changed and we've seen this same story before with Robinhood ( S-st ), now at 74.62% ownership, before their rally from $20 to $150. Irrational fear and capitulation is how institutions accumulate off shareholders. The recent drop is a change in stock price, not in fundamentals. The 1Y price target on $NBIS remains $400. When forward growth backs up any market cap projections, it’s a matter of time and execution.
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AI股因信贷收紧恐慌抛售，建议转向有Mag7合同且低债的新云龙头。
我们正目睹 AI + 数据中心(DC) 股票实时崩盘，$IREN 本周下跌 37.88%，$NBIS 本月下跌 35.27%。 恐慌源于信贷收紧、高息债务、OpenAI 传染效应、宏观因素，以及最重要的：非理性恐惧。 以下是实时发生的情况： 1. 信贷收紧 - 像 $APLD 这样的公司未能成功发行债券（认购不足），最终发行了 23.5 亿美元的高收益债务融资——彭博社 11 月 14 日报道。债券以 97 美分的价格折价出售，收益率约为 10%。 该债券交易的风险主要与 Applied Digital 对 $CRWV 的依赖有关，后者占其合同收入的大部分。随着建设阶段机构关注度增加（例如 Burry 关于 GPU 折旧的做空报告），数据中心更难筹集资金。 融资条件收紧影响了整个通过发行债务为自身建设融资的生态系统。 2. 高息债务 - 由于信贷收紧，$CRWV 为扩张而承担的劣质债务导致每年超过 10 亿美元的损失。这侵蚀了利润率和自由现金流(FCF)。 同样，$APLD 和其他以不良收益率筹集资金的公司也面临同样的未来问题，我们看到相关公司因风险管理而出售。 3. OpenAI 承诺的 1 万亿美元+ 资金没有余额支撑 - OpenAI 承诺超过 1 万亿美元的资本支出(capex)，其中 224 亿美元+ 流向 $CRWV，3000 亿美元+ 流向 $ORCL，他们正在为此建设产能。由于 OpenAI 手头没有余额并采取避险策略，市场现在对这些承诺持怀疑态度。 现在，我们看到这种建设从 Coreweave 等公司向下传染到 $CORZ 和 $APLD，这些公司在建设期间可能依赖 $CRWV 的未来收入。 4. $CRWV 是 AI 基础设施（以及部分 $ORCL）的行业领导者。当行业领导者抛售时，通常其他公司会跟随。 5. 12 月降息概率下降： 除了高息债务外，我们看到 12 月降息概率降至约 53% 的抛硬币水平。较高的利率使得像 $CRWV 这样背负利息债务的公司再融资以增强 FCF 变得困难。 _ 细微差别与重新定位： 我们看到全面抛售。然而，Mag7（$META, $GOOGL, $AMZN, $MSFT）的资本支出和合同已确认，且盈利能力极强。 有一种简单的方法可以安全重新定位，以避免未来收入增长 + 债务周期的问题。 1. 配置与 Mag7 有合同可见性的新云(Neoclouds)： - $NBIS - 190 亿美元 $MSFT 交易，30 亿美元来自 $META，广泛的企业支持 - $CIFR - 55 亿美元与 $AMZN 的 Colo 交易，30 亿美元与 $GOOGL 的交易 - $WULF - 37 亿美元+ 与 $GOOGL 的交易等。 - $IREN - 90 亿美元与 $MSFT 的交易 我们可能会看到更多像 $SLNH, $CLSK 等投机性容量公司下跌，并整合到具有可见企业合同（未来收入下行风险低）的新云中。 2. 配置无/极低息债务且资产负债表强劲的新云： 像 $NBIS 这样的公司因拥有 47.9 亿美元的可转换票据现金及现金等价物，而与当前信贷市场波动隔离。或者像 $CIFR 这样拥有 12 亿美元现金的公司。 3. 避免与 OpenAI 有直接合同而非 Mag7 的公司。 _ 新云是 Mag7 AI 算力的骨干。这一论点没有改变，我们可能会看到一些规模达到 1000 亿美元+ 的公司成为下一个 AWS。 然而，我们看到由 $CRWV, $ORCL 和 OpenAI + 信贷收紧（部分由于 Burry 关于 GPU 折旧的错误机构做空报告）引起的广泛、不分青红皂白的抛售。 对于像 $NBIS 这样拥有 70-90 亿美元远期年度经常性收入(ARR) 和极强资产负债表的公司，这种抛售完全不合理。但对于其他投机性公司，这是一次必要的修正。 一句好话是“散户最后卖出，最后买回”。 如果你认为你可以卖出并在两周后回来，错过抛售后的一个或两个巨大反弹日可能会让你失去大部分恢复收益。 机构可能正在通过暗池/大宗交易购买更好的名字，例如 $NBIS，在这些清洗和保证金清算之后。我们还看到机构所有权从 38%-> 43-46%，尽管股价下跌。 利用这次机会购买好名字，并持有度过这些波动时期。 （该推文引用了 @aleabitoreddit 的推文，引用内容仅供理解语境）: 13F 新云申报的机构流向评估： · Nebius ( $NBIS ): 🟢 强烈正面 (7/10) · WULF ( $WULF ): 🟢 高度正面 (8.5/10) · IREN ( $IREN ): 🔴 非常负面 (3/10) · CIFR ( $CIFR ): 🟢 高度正面 (8.0/10) · Coreweave ( $CRWV ): 🟡 中性 (5.5/10) · Cleanspark ( $CLSK ): 🟢 高度正面 (9.0/10) _ TLDR 摘要更新： $NBIS · 机构所有权整体定量增长强劲，由坚实的长期机构买家以及量化基金和对冲基金的高活跃度驱动。 $WULF · 机构基础结构稳定且安全，以 Vanguard 和 BlackRock 等大型纯多头资产管理人为特征，他们对股票持有高信念。 $IREN · 所有权由高频交易员、做市商和量化基金（例如 Jane Street, Citadel）主导。这种结构被视为负面，因为它表明缺乏稳定的短期持有压力和长期机构缺乏信念。 $CIFR · 优秀的机构设置，以纳入主要指数（被动需求）和主动基金的强烈信念购买为标志，Alyeska 的大幅增持尤为突出。 $CRWV · 高交易量表明市场兴趣浓厚，但所有权目前高度集中，做市商存在显著，导致中性评分，暗示流向的风险/回报平衡。 $CLSK · 被认为是该组中最好的机构结构，结合了广泛支持的被动指数纳入和激进的、高信念的主动积累，表明定性风险最低。 _ 评论： 例如，“看多 - Jane Street + Citadel 拥有 x 的 $IREN ”（提示：这不是正面的）。尤其是当长期持有者如 FMR (Fidelity)：212 万股，大幅削减持仓时。 基金类型很重要，例如： 被动（最正面） Vanguard, BlackRock 指数, State Street, Geode 等 多头（正面） Fidelity, T. Rowe, Wellington, BIT 等 对冲基金（中性到正面） Alyeska, Coatue, Millennium 等 量化/做市商（负面） Jane Street, Citadel, Susquehanna, SIG, Two Sigma 等 这是一个主观框架，用于仅从本季度评分流向有多正面（而非整体所有权）。
英文原文
We're seeing a live crash in AI + DC stocks right now with $IREN down 37.88% this week to $NBIS down 35.27% this month. Panic stems from Credit Tightening, High Interest Debt, OpenAI contagion, Macro, and most importantly: Irrational Fear. Here's what happening real time: 1. Credit Tightening - Companies like $APLD failed to sell bonds (under subscribed) and ended up issuing $2.35B in high yield debt offerings - Bloomberg Nov 14th. The bonds were sold at 97 cents on the dollar, a significant discount, with a yield of approximately 10%. The bond deal's risk is primarily tied to Applied Digital's reliance on $CRWV, which accounts for a substantial portion of its contracted earnings. More institutional cation (eg. Burry short report on GPU depreciation) around the buildout makes it harder for DC's to raise funds. Tightening funding conditions affect the entire ecosystem that issue debt to fund their own buildout. 2. High Interest Debt - Due to credit tightening, bad debt, which $CRWV has to fund expansion, causes $1B+ in losses a year. This cuts into margins and FCF. Likewise, $APLD and others that raise funds with bad yields face the same future issues and we're seeing a selloff in related companies for risk-management. 3. $1T+ in OpenAI promised funding without balances - Over $1 trillion+ in capex was promised by OpenAI going to $22.4B+ $CRWV and $300B+ to $ORCL, which they are building capacity for. The market is now skeptical of these promises from OpenAI due to not having the balances on hand and taking a risk-off approach. And now we're seeing contagion on that buildout from companies like Coreweave spread down to $CORZ and $APLD during this buildout that might rely on $CRWV for future revenue. 4. $CRWV is a sector leaders of AI infrastructure (and partially $ORCL). When the sector leader sell-off, usually others follow suit. 5. Rate Cut odds in December Fall: On top of the high interest debt, we're seeing rate cut odds in December drop to a coinflip ~53%. Having higher interest rates make it trouble for interest-debt burdened companies like $CRWV to refinance for stronger FCF. _ THE NUANCE and Repositioning: We're seeing a broad sell-off across the board. However, Capex and contracts from Mag7 ( $META, $GOOGL, $AMZN, $MSFT ) are confirmed with their extreme profitability. There's an easy way to safely reposition to avoid issues with future revenue growth + debt cycles. 1. Position into Neoclouds with contract visibility with Mag7: - $NBIS - $19B $MSFT deal, $3B from $META, broad enterprise support - $CIFR - $5.5B Colo deal with $AMZN, $3B deal with $GOOGL - $WULF - $3.7B+ deals with $GOOGL and more. - $IREN - $9B deal with $MSFT We will likely see more capacity speculative companies like $SLNH, $CLSK, and others fall off and consolidation into Neoclouds with visible enterprise contract (low downside risk of future revenue). 2. Position into Neoclouds with no/extremely low interest debt and high balance sheets: Companies like $NBIS are isolated from current credit market volatility as they have $4.79 billion in cash and cash equivalents from convertible notes. Or companies like $CIFR with $1.2B in cash. 3. Avoid companies with direct contracts with OpenAI that's not Mag7. _ Neoclouds are the backbone of Mag7 AI compute. This thesis has not changed and we'll likely see some scale to $100B+ companies in the future as the next AWS. However, we're seeing a widespread, indiscriminate sell-off caused by $CRWV, $ORCL, and OpenAI + credit tightening (partially due to incorrect institutional short reports from Burry on GPU depreciation). These types of sell-offs are completely not warranted for companies like $NBIS with $7-9B forward ARR and extremely strong balance sheets. But for other speculative companies, it's a well-needed correction. A good quote is “retail is last to sell, last to buy back”. If you think you can sell and come back two weeks later, missing one or two huge rebound days after a selloff can cost you most of the recovery gains. Institutions are probably buying the better names right now eg. $NBIS through dark pools/block trades now after these types of washouts and margin liquidations. We've also seen institutional ownership go from 38%-> 43-46% despite share prices dropping. Use this as a buying opportunity for good names, and hold through these periods of volatility.
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基于已确认交易对Neoclouds个股排名，建议规避高债低利标的。
在获得更多财报和交易背景后，我可能会这样对“新云”（Neoclouds）进行排名。 仅基于容量建设（Capacity Buildout）的已确认交易： 1. $NBIS - $MSFT | $META | 多家 2. $CIFR - $AWS | $GOOGL 3. $WULF - $GOOGL 4. $APLD - $CRWV + 超大规模云服务商（Hyperscaler） 5. $CORZ - $CRWV 我不会碰 $CRWV，因为其利息债务问题；也不碰 $ORCL，因为受 OpenAI 的传染效应以及目前建设利润率较低的影响。 我认为仅基于市场状况，目前选择已确认的高利润率+合同公司，比押注投机性的容量/高性能计算（HPC）建设转型论点更安全。
英文原文
I'd probably rank Neoclouds like this after we got more context from earnings + deals. Just based on confirmed deals from capacity buildout: 1. $NBIS - $MSFT | $META | Many 2. $CIFR - $AWS | $GOOGL 3. $WULF - $GOOGL 4. $APLD - $CRWV + Hyperscaler 5. $CORZ - $CRWV I wouldn't touch $CRWV due to interest debt or $ORCL due to contagion from OpenAI and low margins on buildout so far. I think just based on market conditions, it's safer to go with confirmed higher margin + contracts companies over speculative capacity/HPC buildout pivot arguments right now.
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高贝塔AI股因宏观恐慌错杀，基本面强劲者终将迎来价值回归。
我们正目睹高贝塔值AI股票板块的崩盘，部分个股在1个月内下跌30-45%+，今日再跌10%+。 这包括直接受益于“七巨头”资本支出的公司： - Nebius ($NBIS)：$META 30亿美元交易 / 80亿美元远期年度经常性收入(Forward ARR)。 - TeraWulf ($WULF)：Anthropic数据中心(<500亿美元) + 与$GOOGL的合资光纤网络(FS)。 - Iren ($IREN)：$MSFT 90亿美元高性能计算(HPC)。 - Cipher ($CIFR)：与$AMZN签署15年55亿美元合同。 这些公司在过去一个月里改善了基本面。 但市场仍在恐慌性抛售从$CRDO (-10.33% 1D)到$CIFR (-7.28% 1D)的股票，尽管它们拥有创纪录的远期收入增长。 这主要是由宏观担忧（政府停摆、12月降息、公司债利差等）和虚假（但微妙）的机构观点（如Burry关于GPU折旧的说法）驱动的，而非基于个股基本面。 这清洗了AI投机性板块（如能源股$OKLO，1个月跌37%）中的泡沫，但高利润率的增长型股票也受牵连。 我之前说过，这让我想起$HOOD从$65跌至$28后反弹至$150，或$ALAB在所有财报超预期后从$100跌至$50再反弹至$245。 当市场充满恐惧，尤其是像现在这样的“AI泡沫”恐慌时，股价有时会与基本面脱节。 但当远期增长能支撑市值预期时，这只是时间和执行力的问题。
英文原文
We're seeing a sector crash in high-beta AI stocks, with names down 30-45%+ in 1M & 10%+ today. This includes direct beneficiaries of Mag7 Capex : - Nebius ( $NBIS ): $3B $META deal / $8B forward ARR. - TeraWulf ( $WULF ): <$50B Antrophic DC + JV FS/ $GOOGL - Iren ( $IREN ): $9B $MSFT HPC - Cipher ( $CIFR ): 15Y $5.5 billion w/ $AMZN. that improved their fundamentals in this past month alone. But markets are still panic selling names from $CRDO (-10.33% 1D) to $CIFR (-7.28% 1D) despite record forward revenue growth. This is driven over fears from macro (shutdown, Dec rate cut, corporate bond spreads, etc) and false (but nuanced) institutional claims eg. Burry on GPU depreciation, rather than individual fundamentals. This wipes away froth from the speculative parts of the AI sector such as $OKLO (energy, -37% 1M), but higher-margin growth names get caught together with it. I've said this before, but this reminds me of the time $HOOD sold off to $28 from $65 then pulled off a rally to $150. Or when $ALAB sold off from $100 to $50 off all earnings beats, then rallied to $245. Sometimes stock prices get detached from fundamentals when there’s fear in the markets, especially with “AI bubble” fears like what's happening now. But when the forward growth backs up any market cap projections, it’s just a matter of time and execution.
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作者调整META期权策略摊低成本，预期其将如NBIS般恢复。
@Neat_Lama 是的，感觉好多了。$META 的超卖走势出乎意料，但我预计它会在1月恢复。 我将期权从1月轮换至3月/4月到期，并摊低成本至约$640。目前仍大幅亏损，但我预计它会像 $NBIS 一样恢复。
英文原文
@Neat_Lama Yeah feeling better. $META extended selloff was unexpected but I expect it to recover by Jan. I rotated Jan into March/April expiration and averaged down to $640-ish. Still down a lot but I expect it to recover like $NBIS.
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NBIS因市场过度反应大跌，机构报告对其商业模式构成压力测试。
确实，这会影响市场情绪，甚至导致过度反应，正如我们目前在 $NBIS 身上看到的（例如：年化经常性收入(ARR)超预期200%+，与 $META 的意外交易，却下跌20%+）。但像摩根大通(JPM)或伯瑞(Burry)这类机构报告，确实在根本上对商业模式进行了压力测试，例如更高的借贷成本和更严格的贷款条件。
英文原文
Well it does impact market sentiment to the point of overreaction, which we're seeing with $NBIS right now. (eg. beats ARR estimates by 200%+, surprise $META deal, down 20%+) But those types of institutional reports from JPM or Burry does fundamentally stress test business models a bit eg. higher borrowing costs and stricter loans.
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重申 $NBIS 核心业务与高增长逻辑，呼吁投资者在市场回调中保持信念。
如果在这次市场回调中你有一丝怀疑。 请记住这一点： $NBIS 是一家市值 240 亿美元的公司，远期年度经常性收入 (ARR) 为 80 亿美元，目标 EBITDA 利润率 30%。 Nebius 的核心业务为从 $MSFT 到 $META 的 Mag7 超大规模云服务商、从 Shopify 到 Cursor 再到埃森哲的企业，以及政府人工智能基础设施提供动力。 他们拥有 100 亿美元以上的净资产价值 (NAV)，其超增长投资组合公司赋能了 Cloudflare、Tiktok、Tesla、Netflix 和 Anthropic。 当然，Nebius 同比增长 700%+，这在从季度收入 1.25 亿美元到仅 1 年内达到 20 亿美元+的过程中几乎闻所未闻。 这家公司处于整个人工智能建设浪潮的中心，股价为 $93，有望成为下一家市值 1000 亿美元+的公司。 不要让广泛的抛售影响你的信念。
英文原文
If you have any iota of doubt during this market correction. Remember this: $NBIS is a $24B MC company doing $8B forward ARR, targeting 30% EBITDA margins. Nebius core business powers Mag7 Hyperscalers from $MSFT to $META, enterprises from Shopify to Cursor to Accenture, and Government AI Infrastructure. They have $10B+ NAV with hyper-growth portfolio companies powering Cloudflare, Tiktok, Tesla, Netflix and Antrophic. And of course, Nebius is growing 700%+ Y/Y, which is almost unheard of going from $125M quarterly revenue to $2B+ in just 1 year. This company is the at the Center of the whole Artificial Intelligence buildout at $93, and is set to be the next $100B+ company. Do not let broad sell-offs affect your conviction.
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基于Nebius最新财报数据，机械重算其估值模型，得出355美元新目标价。
Northland 早在9月就基于2026财年20-40亿美元年经常性收入(ARR)的假设，给出了$NBIS 205美元的目标价。 沿用其相同的经济模型，我们现在得出的1年目标价为： 约355.00美元/股（+248.04%） 这是基于Nebius财报中70-90亿美元ARR预测得出的。 以下是更新后的指标： Northland Capital Markets 2025年9月24日的报告，其2026财年情景假设： ARR：上调至20-40亿美元 营收：23亿美元 调整后EBITDA：9.07亿美元 核心AIaaS业务的EV/销售倍数：23.8倍 流通股：约2.9亿股 每股股权价值：205美元目标价 Nebius新基本面（2025年Q3发布）： 2026财年ARR ≈ 80亿美元（中位数），营收 ≈ 46亿美元，以及按比例缩放的EBITDA（约18亿美元）。 保持其EV/销售倍数 ≈ 23.8倍，新核心企业价值 ≈ 46亿美元 × 23.8 = 1090亿美元。加上子公司（Northland分部估值法合计约70亿美元）和净现金（约7亿美元）-> 总股权 ≈ 1170亿美元 → 约355美元目标价 这是一种机械外推，假设其分析中的估值倍数不变，并非分析师可能因稀释/执行风险等而调整的目标价。 分析师从20亿美元估计到管理层最新指引中位数80亿美元的2-3倍ARR增长，机械性地推高了估值 更新后的目标价是基于重新运行的DCF模型得出的。
英文原文
Northland announced a $NBIS $205 price target off the assumption of $2-4B ARR for CY2026 back in September. From their same economics used, we would now get an 1Y PT: ~$355.00/share (+248.04%) off Nebius's earnings report with $7-9B ARR projected Here's the updated metrics: Northland Capital Markets 09/24/2025 report, their CY2026 scenario assumed: ARR: raised from $2-4B Revenue: $2.3B Adjusted EBITDA: $907M EV/Sales multiple: 23.8× for the core AIaaS business. Shares outstanding: ~290 M Equity value per share: $205PT New Nebius fundamentals (Q3 2025 release): CY2026 ARR ≈ $8 B (midpoint), Revenue ≈ $4.6 B, and proportional EBITDA scaing (~$1.8 B). Keeping their EV/Sales ≈ 23.8×, new core EV ≈ $4.6 B × 23.8 = $109 B. Add the subsidiaries (≈ $7 B total from Northland’s sum of parts) and net cash (~$0.7 B) -> total equity ≈ $117 B → ~$355 PT It's a mechanical extrapolation assuming valuation multiples for their analysis, not the analyst updated PT that might change based on dilution/execution risks, etc. 2-3x of $NBIS CY2026 ARR from the analyst's 2-B estimate to the new management guidance midpoint of $8.0 billion mechanically drives the valuation higher The updated price target is based on a re-run of the DCF model.
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NBIS获微软Meta验证，需求巨大或超预期
@Dylanwith86 是的，这仅仅意味着当他们签订更多合同时，他们将增加年度经常性收入(ARR)，甚至可能超出其 $70-90 亿 ARR 的预测。两个月前，仅靠 $MSFT 就达到了约 $50 亿。市场对 $NBIS 全栈基础设施的需求巨大，$MSFT 和 $META 已经证明了这一点。
英文原文
@Dylanwith86 Yeah this just means when they contract more, they'll increase ARR and maybe even beat their $7-9B ARR projection. 2 months ago it was ~$5B with just $MSFT. Demand for $NBIS full stack infrastructure is immense and $MSFT + $META proved it.
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NBIS财报超预期，获META大单，强烈买入。
目前对 $NBIS 财报的总结： 绝对的。爆表。财报。 在两个月前刚与 $MSFT 达成 170 亿美元交易的基础上，又新增了 30 亿美元的 $META 大单，以及 Cursor 的新企业客户。 70-90 亿美元的年度经常性收入 (ARR) 预测规模巨大，远超任何预期。 强烈买入，目标价 116 美元（包含定向增发 (ATM) 的影响）。https://t.co/AxWshJhAgJ
英文原文
Takeaway from $NBIS earnings so far: Absolute. Blowout. Earnings. $3B $META deal + Cursor new Enterprise clients on top of $17B with $MSFT just 2 months ago. $7-9B ARR projection is enormous and blew away any expectation. Insanely Strong Buy $116 (including the ATM). https://t.co/AxWshJhAgJ
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NBIS短期抛压大，但META合同战略意义重。
@0xcyberbro 中长期来看很容易。但在极短期内，存在27亿美元抛压（即使 $NBIS 在当前水平被低估）确实令人沮丧。 30亿美元的 $META 合同和年度经常性收入(ARR)预测在战略上更为重大，但股权融资在短期内财务负担更重。
英文原文
@0xcyberbro Easily for mid-long term. Very near term, it sucks that there's 2.7B worth of selling pressure (even if $NBIS is undervalued at these levels). The $3B $META contract and ARR projection is strategically bigger, but the equity raise is financially heavier in the short term.
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NBIS短期受稀释压制，但基本面强劲，当前股价被低估。
价值27亿美元的自动交易机制(ATM)股份稀释将对$NBIS股价造成短期压力。 从根本上看，他们每年90亿美元年度经常性收入(ARR)的规模及其利润率，理应使其市值达到1000亿美元。 我认为，即使考虑到稀释因素，股价也应远高于当前水平（可转换票据(Convertible Notes)发行价在138美元以上），而这还是在其疯狂的ARR增长和与$META的交易之前。
英文原文
The $2.7B worth of ATM shares for dilution will put short term pressure on $NBIS stock price. Fundamentally doing $9B ARR a year with their margins should bring them to a $100B marketcap anyway. I'd argue stock price should be way up above these levels even factoring in dilution. (convertible notes were at $138+), and this was before their ridiculous ARR growth and $META deal.
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NBIS财报超预期且签Meta大单，因ATM稀释股价微跌，但长期前景极看好。
$NBIS 财报大幅超出预期，年化经常性收入(ARR)达70-90亿美元，并与Meta达成30亿美元的超大规模云厂商(hyperscaler)交易。他们还增加了企业客户Cursor。尽管如此，在财报电话会议前股价目前下跌1.77%。为什么？稀释~27亿美元，2500万股通过市场发行(ATM)稀释，将于11月12日提交。这意味着价值27亿美元的股票（按当前价格）可以在公开市场按当前价格出售，而非可转换票据（首选结构），这很可能是股价尚未上涨20%的主要原因。这会影响短期股价，但此次发行后公司基本面依然惊人，拥有卓越的未来收入增长。例如看看Rocketlab或其他通过此举补充增长的公司。如果有更多时间，我也会深入分析财务数据。但仅2026年的70-90亿美元ARR（许多分析师预期在2028年之后），是非常看多的。
英文原文
$NBIS earnings report blew away expectations with $7-9B ARR and a $3B hyperscaler deal with Meta. They also added to their enterprise client list with Cursor. Despite that, stock is down -1.77% currently before their earnings call. Why? Dilution~$2.7B 25M share dilution ATM offering that will be filed Nov 12th. Meaning 2.7B worth of shares (at current prices) can be sold in the open market at current prices vs. convertible notes (preferred structure), which is the most likely reason it's not up 20% by now. It affect share price short term, but the company fundamentals after this offering is incredible with amazing forward revenue growth. Eg. look at Rocketlab or others that did this to supplement growth. Will also delve into financial data given more time. But the $7-9 billion ARR for 2026 alone (which many analysts expected in 2028+), is insanely bullish.
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$NBIS超预期并签$META大单，看好其成长为千亿美元市值公司。
哇，$NBIS 刚刚在增长方面大幅超出了年度经常性收入(ARR)预期，并在财报电话会议(ER)中宣布与 $META 签署了一份令人惊喜的30亿美元超大规模云厂商(hyperscaler)协议。 他们现在预计2026年ARR将达到70-90亿美元，这意味着季度营收约为21亿美元以上。 这正是 Nebius 成长为一家市值1000亿美元公司的路径，$NBIS 正在成为一家世代级的公司。 关于整体业绩： 每股收益(EPS)：-0.52 vs -0.4（超预期23%） 营收：1.5573亿 vs 1.411亿（不及预期6%） 市场是前瞻性的，任何短期的财报电话会议波动都会被其巨大的未来增长前景所掩盖。 我将在有更多时间处理信息时进行更深入的分析，但就目前而言，这份惊喜的超大规模云厂商协议意义重大。 当市场对此进行定价时，股价应该远高于当前水平。
英文原文
Wow, $NBIS just blew away ARR expectations on growth and just signed a surprisising $3B hyperscaler deal with $META from their ER. They now expect $7-9B ARR 2026, which is ~2.1B+ revenue/quarter. This is exactly how Nebius grows grow to a $100B MC and $NBIS is a generational company in the making. In terms of general earnings: EPS: -.52 vs -.4 (Beat by 23%) Revenue 155.73m vs. 141.1M (Miss by 6%) Markets are forward looking and any short term ER will be overshadowed by its immense forward growth projection. Will do a deeper rundown when there's more time to process information but so far, this is incredibly huge with a surprise hyperscaler deal. Stock should be up way above these levels when markets price this in.
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新云财报解读及反驳伯里GPU贬值论，强调新云逻辑强劲。
今日新云(Neocloud)财报 + 为何迈克尔·伯里(Michael Burry)错了： $WULF - 财报超预期(ER)表现积极，来自520兆瓦(HPC)算力的高性能计算(HPC)容量总合同价值(TCV)达170亿美元。 在德州成立240兆瓦合资企业(JV)用于数据中心(DC)扩张 + 50亿美元融资。 不像$CIFR与AWS的财报超预期那样特别，只是确认（如交易融资）和站点开发。 $CRWV - 因第四季度远期收入较低，财报超预期表现短期看空。 556亿美元积压订单（其中224亿美元来自OpenAI）。小幅盈利超预期13.6亿 vs 12.9亿（同比129%），EBITDA利润率（61%）。 股价因数据中心延迟下跌，这损害了2025财年（50.5-51.5亿 vs 共识52.9亿）。运营利润率下调，正如我预测的那样，因为债务融资产生的利息（~10亿+利息/年）侵蚀了利润率，而其他新云没有同样的问题。 话虽如此，这是一次性问题，鉴于市场是前瞻性的，我们可能会看到任何抛售在下个季度后被买回。 _ 至于迈克尔·伯里关于GPU贬值的争论：他完全错了，但在低估这一点上部分正确。 他的普遍主张：芯片在2-3年产品周期上的资本支出(Capex)不应导致使用寿命的延长 -> 在谷歌的案例中，他们7年前的TPU正以100%的利用率运行。重复一遍，是7年前。 Amin Vahdat表示，谷歌目前生产中有七代TPU硬件，且“七到八年前的TPU拥有100%的利用率”。 “谷歌称TPU需求超过供应，声称8年前的硬件迭代‘100%利用率’” - 数据中心动态 -> 在英伟达(Nvidia)的案例中，A100（PCIe和SXM4变体）仍在运行。它们于2020年推出。现在是2025年。旧型号保持其价值并仍然提供收益。它们不会仅仅因为是补充新模型的附加组件就被核销。 英伟达的A100可以划分为隔离实例以最大化利用率，旧一代加速器仍用于推理或低优先级任务进行货币化，而不是像他所声称的那样被核销。它们实际上具有残值，5年后仍能高价转售。 他在保质期问题上完全错了，但在某些超大规模云服务商如何拉伸利用率概念以证明激进资本支出方面可能是正确的。 这是一个微妙的论点，但新云逻辑依然完好且比以往任何时候都更强。
英文原文
Neocloud Earnings Today + Why Michael Burry is Wrong: $WULF - ER was positive, $17B TCV from 520 MW HPC capacity. 240 MW JV in Texas for DC expansion + $5B financing. Nothing special like $CIFR ER with AWS, just conf (eg. deal finances) and site dev. $CRWV - ER was bearish near term due to lower forward revenue Q4. $55.6B backlog ($22.4B from OpenAI). Slight earnings beat 1.36B vs. 1.29B (129% Y/Y), EBITDA margins (61%). Stock dropped on datacenter delay, this hurts FY 2025 (505-5.15B vs. 5.29B consensus). Operating margins was lowered, which I predicted due to debt financing with interest (~1B+ interest/year) that cuts into margins, while other Neoclouds don't have that same issue. That being said this was a one-off issue, and we'll likely see any sell-off bought back after next quarter since markets are forward looking. _ As for Michael Burry arguing on GPU deprecation: he's completely wrong, but partially right about understating it. His general claim: capex of chips on a 2-3 yr product cycle should not result in the extension of useful lives -> in Google's case, their TPUs from 7 years ago are being run at 100% utilization lol. Repeat 7 years ago. Amin Vahdat, said that Google currently has seven generations of its TPU hardware in production, and that the “seven- and eight-year-old TPUs have 100 % utilization.” "Google says TPU demand is outstripping supply, claims 8yr old hardware iterations have “100% utilization” -Data Center Dynamics -> in Nvidia's case A100 (PCIe and SXM4 variants), are still in operation. They were launched in 2020. It's 2025 now. Older models keep their value and still deliver equity. They don't just get nuked since it's an add-on to compliment newer models. Nvidia’s A100 can be partitioned into isolated instances to maximize utilization, and older-gen accelerators are still monetized for inference or lower-prio tasks rather than getting nuked as what he claims. They actually have residual value and still re-sale for a lot 5 years later. He's completely wrong here on shelf-life, but might be correct in how some hyperscalers stretch the idea of utilization to justify aggressive capex. It's a nuanced argument but Neocloud thesis remains in tact and stronger than ever.
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博主因感冒减少看盘，对META定投看涨期权，心态佛系。
嗯，如果政府停摆持续，可能会再次下跌，谁知道呢。我这周感冒挺严重，所以没花太多时间看市场或刷 X。刚读完财报和新闻后，对 $META 进行了定投看涨期权(DCA calls)，除此之外这几天我心态挺佛系的。
英文原文
Eh, might dip again going if Gov shutdown prolongs, who knows. I've been out with a pretty bad cold this week so haven't been spending much time looking at markets + reading X. Just DCA'd calls on $META after reading through earnings + news, but otherwise pretty nonchalant few days for me.
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基本面强劲支撑AI板块，短期回调因宏观因素，建议逢低加仓。
忽略噪音，持有仓位或在市场赢家身上加仓。 你拥有： - 来自 $NBIS、$IREN、$CIFR 等新型云服务商(Neoclouds)的惊人远期营收增长 - 来自 $META 到 $MSFT 等七巨头(Mag7)财报创纪录的高资本支出(CapEX)预期 - 来自 $TSM 等半导体公司创纪录的高远期营收预期+利润率增长 如果基本面完好，像“AI派对结束了”这样的新闻头条就是胡扯。 随着政府停摆结束，我们很可能会看到重大复苏。 这很可能是一次短期回调，定价了诸如没有第三次降息（概率从86%降至70%，但仍有可能）+ 政府停摆延长至16日之后（合约市场显示53%的概率，两天前为30%）等因素。
英文原文
Ignore the noise and hold positions/add in market winners. You have: - Insane forward revenue growth from Neoclouds like $NBIS, $IREN, $CIFR - Record high CapEX projections from Mag7 earnings like $META to $MSFT - Record high forward revenue projections + margin growth from semiconductors like $TSM. If fundamentals are in tact, news headlines like "The AI Party is Over" is BS. We'll likely see a major recovery when government shutdown ends. This is likely a short-term correction pricing in a few things such as no third rate cut (86% -> 70%, still likely) + government shutdown extending past the 16th (53% chance, 30% chance 2 days ago) per contract markets.
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建议RDDT收购SNAP并削减成本以盈利，同时推出新产品。
举个例子： $RDDT 应该尝试收购 $SNAP，然后通过削减增强现实(AR)业务部门、精简管理层以及降低谷歌云(GCP)成本来实现盈利（这很容易）。监管机构不会阻止这一收购，但会阻止 $META 收购它。 然后推出类似 X 银行服务的新产品。Reddit 在其 NFT 市场业务上曾有过一些活力，但从未跟进落实。
英文原文
So for examples: $RDDT should try and acquire $SNAP then turn it profitable (easy) by cutting AR segments, management, cutting GCP costs. (Regulators wouldn’t block this but they’d block $META acquiring it). Then go out and launch new products like what X does with banking. Reddit had some sparks of life with their NFT marketplace stuff, but they never followed through.
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看好RDDT网络效应及RKLB太空赛道潜力，类比META与HOOD估值逻辑。
是的，量子计算一直是个泡沫，但鉴于市场有时非理性，我不做空。至于互联网上最爱/最恨的社区，我个人认为 $RDDT 的规模化路径很清晰：作为全球第七大网站，凭借网络效应它将长期存在。回顾推特上市时，估值4000亿美元，年营收37-50亿（自由现金流为负），年增长20-30%。$RDDT 季度营收5.85亿，毛利率91%，EBITDA 2.36亿（占营收40%），估值约340亿。鉴于它不像 $META 那样每次收购都面临全球反垄断审查，我认为 Reddit 有潜力像 $HOOD 那样增长，即在IPO后不久就大量盈利并持续扩大利润率。因此，它可以专注于利用粘性用户群扩大营收/收购（例如 Robinhood 收购加密货币交易所）。是的，$RKLB 有清晰的轨迹走向3500亿美元+市值，像 SpaceX 一样，因为太空应用众多且涉及巨大国家安全风险，大量投资将涌入该领域。
英文原文
Yeah quantum was always a bubble, but I don't short given how irrational they are sometimes. As for the Internet's favorite/most hated community, I personally see the path to scale for $RDDT just how it's the 7th most popular website on the internet and it will be around for awhile just due to network effect. Just going back to Twitter when it was public, it was valued at $40B, doing $3.7-5B yearly revenue (with negative FCF) growing roughly 20-30% Y/Y. $RDDT is doing $585m quarterly revenue, 91% gross margins, 236M EBITDA (40% of revenue) ~34B valuation. And given it's not at the scale of $META where every acquisition has global anti-trust lawyers on their asses, I just see Reddit with the potential to grow like $HOOD where they're printing money so close to after IPO and keeps on expanding margins. So they can just focus on expanding revenue/acquisitions with their sticky userbase (eg. how Robinhood acquired crypto exchanges). Yeah $RKLB has such a clear trajectory toward $350B+ MC like SpaceX since there's so many applications you can do with Space + huge national security risk so lot of investments will pour into the sector.
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分析CRWV收购失败及高息债务劣势，对比NBIS优势并指出政府合同潜力。
对于 $CRWV 而言，问题在于其收购 $CORZ 未能获批。Core Scientific 本应比那 90 亿美元的收购价带来更大价值。若能在其现有合同基础上，通过收购为全栈模型（Full Stack Model）增加更多 GW 级算力，将是极度看涨（omega bullish）的利好。 Coreweave 每年还有超过 10 亿美元的利息债务，这对自由现金流（FCF）和利润率造成了极大拖累（相比之下，$NBIS、$CIFR、$IREN 使用的是可转换票据）。 $NBIS 已经实现了 $CRWV 的全栈垂直整合，但拥有更高的利用率、更好的编排/性能（根据其白皮书）、无巨额债务利息以及高积压订单，因此市场看到了其他风险更低、上行空间更大的替代方案。 不过，如果 $CRWV 获得美国政府合同批准，那将是另一个巨大的看涨催化剂。但我们已经看到像与 $META 签订的 140 亿美元这样的大型合同积压订单，然而其债务利息确实荒谬。
英文原文
For $CRWV it was $CORZ acquisition failing to get approved. Core scientific would have delivered so much more value than that 9B price tag. Having more GW capacity added to their full stack model (on top of their existing contract with them), would have been omega bullish with the acquisition. Coreweave also has $1B+ in interest debt a year, which is an extremely big drag on FCF + margins (compared to $NBIS, $CIFR, $IREN with did convertible notes). $NBIS already achieved what $CRWV did with full-stack vertical integration, but higher utilization + better orchestration/performance (as per their whitepaper) + no massive interest on debt + high backlogs, so markets see other lower risk, higher upside, alternatives emerging. If $CRWV get approved for US Gov contracts though, that would be another huge catalyst upside. But we already have visibility into large contracted backlogs like $14B with $META but the debt interest is just ridiculous.
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政府重开引发资产抛售，看好NBIS、META等优质资产错杀机会。
政府重新开放（可能在14号左右）真是个奇怪的催化剂，但确实如此。现在确实是资产抛售。没想到$BTC会再次跌破10万美元，但它确实跌了。然后是$NBIS，其核心业务（50-70%+利润率）明年ARR达50亿美元（无增长），净资产值110亿美元+，其中58亿为现金。市值270亿美元。$META，远期市盈率<22或更低？我听说有19倍市盈率的说法，我只是凭记忆。它仍在快速增长，在这个规模下更令人印象深刻。只是叙事和一次性税收导致价格下跌。还有其他有趣的买入如$RKLB、$RDDT等，但这类修正会抹去很多泡沫如$OKLO、$RGTI，但优质资产也遭殃。
英文原文
Gov reopening (likely around ~14th) is such a weird catalyst but it is. Yeah it's an asset fire sale right now. Didn't think $BTC would go below $100k again but it did. Then there's $NBIS, $5B ARR (50-70%+ margin) core business 1Y from now (without any growth), and NAV 11B+ with 5.8B of it cash. Valued at $27B. $META, <22 forward p/e or less? I've heard 19 p/e floated, I'm just going off the top of my head. It's still growing rapidly, which is even more impressive at that scale. Just narratives and one-time-tax dropped price. Lot of other fun buys like $RKLB, $RDDT and others too, but these types of corrections wipe off a lot of froth like $OKLO, $RGTI, but great assets get caught in the crossfire.
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感冒简评：META/NBIS错杀强买，警示IREN/ETH，宏观看多AI基建。
11月4日 - 个股分析 + 宏观 清仓抛售：$META • $NBIS • $IBIT 强烈买入：$RDDT • $RKLB • $WLAC • $CIFR • $LTC • $SOL • $CORZ 存储：南亚科 $2408，SK海力士 $HXSCL，美光 $MU 买入：$AMZN • $DELL • $SMCI • $ALAB • $CRDO • $TSM • $AMD • $FLNC • $TE 警示：$IREN • $ETH • $BMNR • $CRCL 量子计算：$IONQ • $RGTI • $QBTS 通常我会逐一列表，列出更多的买卖建议并解释每一个原因，但我感冒了。 所以今天只做极简版，懒得研究更多股票。喝着汤，只关注几只股票并给出更广泛的概述。（如果有人问，我会帮忙解释。） $META： 再次强烈、强烈、强烈建议在财报大跌15%+及盘后下跌时买入。 营收超预期。每股收益(EPS)超预期。远期盈利完好。 如果计入一次性税收，EPS为$7.25对$6.67，但显示为$1.05（大幅不及预期），导致算法立即抛售。随后的抛售中，机械性资金流通常会将价格推得更低，但趋势通常在1-2周内反转。 利用这一点。 像“Meta在AI上花费太多”这样的叙事可能是噪音。每家Mag7公司都在增加AI资本支出，除非你从云/ASIC角度争论，否则Meta并没有做任何异常的事。有时真正的原因更愚蠢，比如算法未能识别一次性税收的标准化。 当低贝塔值的Mag7因非实质性原因下跌16%+时，有很大的获利潜力。 警示类别摘要： 不是叫卖，只是给出公平警示，让人们自行决定。 量子计算：仍无收入证明价格飙升的合理性。某些数据中心股票，即使回调后，也有远期营收+自由现金流支撑估值。 $ETH：高于$3K不是强买入（自$4.8K以来立场相同）。 $BMNR：ETH国库策略；以溢价追踪ETH价格。除非有国有化潜力（如$MSTR），否则国库策略不好。 $CRCL：下个月有巨大、巨大、巨大的股份解禁。 $IREN：$MSFT合同在标题上看起来很棒（$9B+营收，超大规模云厂商交易），但实际上利润率很差。 交易不是纯托管；$IREN吸收了~$5.8B的GPU+辅助设备资本支出。 毛利率：最好只有30%出头，自由现金流盈利能力可能降至个位数。相比之下，$NBIS的交易结构更好（$11.6M/MW/yr vs $9.7M/MW/yr）。 交易验证了超大规模云厂商将与IREN签约（正面），但交易本身很糟糕。不是卖出，只是警示那些因标题而FOMO的人。 如果你想FOMO进什么，$CIFR（AWS合同）更有意义。 _ 宏观观点： 市场一直在抛售高贝塔值股票，可能只是正常回调。 逆风： 鲍威尔暗示第三次降息不确定 -> 重新定价。 政府停摆可能延长（短期逆风）。历史上，重新开放后回调会迅速反转。 事件市场定价11月14日为结束日期（还有9天）。 如果像$NBIS（-7.9%）这样拥有惊人远期营收支撑的名字没有实质性变化，大跌时是极好的买入机会。还有像$RDDT这样发布了好财报却跌了7%的股票，也是强烈的买入机会。 泡沫在美联储收紧时破裂。我们已经有了两次降息，还有一次很可能。不要跟随那个预测了过去1次崩溃中5000次的《富爸爸穷爸爸》家伙。 AI ≠ 泡沫 yet - 由Mag7财报、真实营收和利润支撑。但如果OpenAI继续在没有资金的情况下过度承诺合同，以后可能开始像泡沫（1-2年后的投影风险）。 摘要：随着降息后的宽松，市场可能趋势向上。 数据中心建设保持完整（Mag7财报显示巨大的AI资本支出）。 回调中保持强劲的板块：存储 • 能源 • 半导体 • 连接 • 新云 保持多头，在这些回调中建立仓位
英文原文
November 4th - Stock Analysis + Macro Fire Sale: $META • $NBIS • $IBIT Strong Buys: $RDDT • $RKLB • $WLAC • $CIFR • $LTC • $SOL • $CORZ Memory: Nanya $2408, SK Hynix $HXSCL, $MU Buy: $AMZN • $DELL • $SMCI • $ALAB • $CRDO • $TSM • $AMD • $FLNC • $TE Warnings: $IREN • $ETH • $BMNR • $CRCLQuantum: $IONQ • $RGTI • $QBTS Normally I'd go down the list, have more buy/sells, and talk about every single explanation but I caught a cold. So just doing an extremely light version today and didn’t feel like researching more stocks. Just focusing on a few with a broader overview while I drink some soup. (Will help explain if someone asks though.) $META: Once again, Strong, Strong, Strong Buy on the 15%+ earnings drop and post-ER drop. Beat on Revenue. Beat on EPS. Forward earnings intact. If you factor in one-time tax, EPS was $7.25 to $6.67, but it showed as $1.05 (huge miss), which led to algorithmic sell-offs immediately after. Following sell-offs, mechanical flows often push prices lower, but trends usually reverse in 1–2 weeks. Take advantage of this. Narratives like “Meta spending too much on AI” are likely noise. Every Mag7 company is increasing AI capex, Meta isn’t doing anything unusual unless you argue from a cloud/ASIC standpoint. Sometimes the real reason is dumber like algorithms not recognizing one-time tax normalization. Lot of profit potential when lower-beta Mag7 drops 16%+ on nothing material. Warnings Category TLDR: Not calling sells, just giving fair warnings so people can decide for themselves. Quantum: Still no revenue to justify price surges. Certain data center stocks, even after corrections, have forward revenue + FCF to back valuations. $ETH: Not a strong buy above $3K (same stance since $4.8K). $BMNR: ETH treasury play; tracks ETH price with a premium. Treasury plays aren’t good unless potential for nationalization (eg. $MSTR). $CRCL: Massive, massive, massive share unlock coming next month. $IREN: The $MSFT contract looks great in headlines ($9B+ revenue, Hyperscaler deal), but in reality, margins are poor. Deal isn’t pure colo; $IREN absorbs ~$5.8B capex in GPUs + ancillary equipment. Gross margins: low 30s at best, can drop to single-digit FCF profitability. By comparison, $NBIS had a structurally better deal ($11.6M/MW/yr vs $9.7M/MW/yr). The deal validated that hyperscalers will sign with IREN (positive), but the deal itself was terrible.Not a sell, just a warning for people FOMOing the headline. If you want to FOMO into something, $CIFR (AWS contract) makes more sense. _ Macro View: Markets have been selling off high-beta stocks, likely just a normal correction. Headwinds: Powell signaling a third rate cut isn’t certain -> repricing. Gov shutdown likely extends (short-term headwind). Historically, corrections reverse quickly after reopen. Event markets price Nov 14th as end date (9 days out). If there’s no material change for names like $NBIS (-7.9%), backed by insane forward revenue, great buy on the dip. Also stuff like $RDDT that posted great ER but dropped 7.% also strong buying opportunity. Bubbles pop under Fed tightening. We've had two rate cuts, and another still likely. Don’t follow the Rich Dad Poor Dad dude who predicted 5000 of the last 1 crashes. AI ≠ bubble yet - backed by Mag7 earnings, real revenue, and profits. But if OpenAI keeps over-promising contracts without funds, it could start resembling one later (projection risk 1–2 years out). TLDR: Markets likely trend higher as easing follows rate cuts. Data center buildout remains intact (Mag7 earnings show huge AI capex). Sectors that stay strong on corrections: Memory • Energy • Semi • Connectivity • Neoclouds Stay long and build positions on these dips
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计划向META定投并逢高加仓NBIS，视其为绝佳买入机会。
@rioferdy838 @Nykonikus @John12321043976 @DeepValueBagger 我将在 $610 的价格向 $META 定投(DCA)六位数的资金。对于 $NBIS，如果我会通过减仓其他头寸来获利了结，我会始终在多头仓位上进行向上摊平成本(Cost Average Up)。 但如果其他人目前没有在这些股票上持有头寸，这正是一个绝佳的买入机会。
英文原文
@rioferdy838 @Nykonikus @John12321043976 @DeepValueBagger I’ll DCA another 6 figures into $META at $610. For $NBIS I’ll always cost average up for longs if I trim other positions But if others don’t have positions they want in those right now it’s an amazing buying opportunity
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Meta回调系算法抛售，降息预期降温及停摆风险构成逆风。
我的意思是，有时市场回调并不需要新闻头条来解释。人们总喜欢给事件赋予某种叙事，比如 Meta 的 AI 资本支出(AI Capex)，但我确信这只是一次性税收引发的算法抛售(algorithmic selloff)导致的机械性下行。我们刚经历了第二次降息，但由于鲍威尔(Powell)的言论使得第三次降息的可能性大幅降低，市场开始以高贝塔(high beta)的方式对此进行定价。此外，政府停摆(shutdown)延长至15日之后的概率很大，这将是一个令人烦恼的逆风(headwind)。
英文原文
I mean sometimes corrections happen without the need for a headline. People always like to assign some type of narrative with something like with Meta its AI capex spend but pretty sure it was just algorithmic selloff from one-time tax into mechanical flows downward. We just got a second rate cut, but since a third is greatly reduced after powell’s comments markets started to price that in with high beta. There’s also big probabilities of shutdown extending past the 15th, and that’s going to be an annoying headwind
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Neocloud获微软AWS大额订单，算力需求旺盛，板块极度看涨。
Neocloud 名单已更新： $IREN - IREN 与微软达成 97 亿美元 GPU 云合同，包含 20% 预付款，将在五年内部署 NVIDIA GB300。 $CIFR - CIFR 与亚马逊云科技 (AWS) 达成 55 亿美元、15 年的租赁协议。 随着超大规模云服务商 (Hyperscalers) 的新合同涌入，Neocloud 板块变得极度看涨，这显示了对算力 (Compute) 的无限需求。 我在原始论点中预计 $ORCL、$META 和 $AMZN 会达成交易，看来 AWS 已与 $CIFR 入场，预计与其他 Neocloud 的交易也会接踵而至。$META 最近也与 $CRWV 签署了 140 亿美元的交易，从其不断扩大的 AI 资本支出 (Capex) 来看，我们可能会看到更多与 Neocloud 的交易。 这对整个板块来说都是极度看涨的。 我附上了我的个人梯队排名 (Tierlist) 供娱乐，但随着有更多时间分析交易和利润率，数据中心/矿工板块可能会迎来全面重评。
英文原文
The Neocloud List got updated: $IREN - IREN secured a $9.7B GPU cloud contract with Microsoft, including 20% upfront prepayment, to deploy NVIDIA GB300s over five years. $CIFR - CIFR secured a $5.5 billion, 15-year lease agreement with Amazon Web Services (AWS). The Neocloud sector just got insanely bullish with new contracts coming in from hyperscalers and this just shows insatiable demand for compute. I expected $ORCL, $META, and $AMZN to make deals in the original thesis and looks like AWS entered the fray with $CIFR, with likely more deals incoming with other Neoclouds. $META also signed a $14B deal with $CRWV recently and from their ER scaling AI Capex, we'll likely see other deals with Neoclouds. This is insanely bullish across the whole sector. I attached my personal tierlist for fun, but we'll likely see a re-ratings in data centers/miners across the board when there's more time to analyze deals and margins.
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META财报后算法抛售属非理性，基本面强劲，正逢低买入。
就 $META 而言，我的观点是：每股收益(EPS) 1.05美元对比预估 6.67美元，是财报发布后算法抛售的主要触发因素，因为他们未计入 7.25美元的一次性税收细节。做市商(MM)的期权相关资金流和机械对冲触发 -> 做空股票以保持对冲，并引发次日抛售+散户清洗。每个人都需要一个“叙事”来解释这次下跌，所以这次是“天哪 $META 在AI资本支出(capex)上烧钱！”，尽管这很愚蠢且业绩其实很棒。下跌是算法性的，基本面不仅完好，而且好于预期。当然人们阅读叙事导致更多恐慌性抛售，但一旦消化信息，他们会发现抛售很愚蠢。所以我正在利用这次下跌。最好忽略媒体叙事，关注实际存在的情况，就像 $GOOGL 在 145美元时那样。我们可以争论 $META 的AI是否糟糕以及资本支出是否在全行业陷入黑洞，但基本面完好且在增长。
英文原文
So with $META at least, my take is that EPS $1.05 vs est. $6.67 was the primary trigger algorithmic selloff immediately after earning report since they didn't get the $7.25 EPS one-time tax nuance. Option related flows and mechanical hedging by MMs triggered -> short stock to stay hedged and there's day 2 selling + retail flush. Everyone needs some "narrative" to explain that drop so in this case, it was "omg $META spending money on capex on AI!", even though it's just stupid and earnings were amazing. Drop was algorithmic and fundamentals are not just in-tact, they're better than expected. Of course people read the narratives and this leads to more panic-selling, but once people digest the information, they'll see the selloff is stupid. So I'm taking advantage of the drop. Better to ignore the media narrative and go with what's actually there like with $GOOGL at $145. We can have another argument whether or not $META AI is crap or not and capex is going into a black hole across the board but fundamentals are intact and growing.
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推荐年末满仓MINT组合（META/IBIT/NBIS/TSM），利用错杀与高非对称回报。
只有四只股票： 🍬 MINT 拥有极其高、非对称的回报。 意味着低资本风险，高上行回报。 这仅适用于2025年11月和12月。 就是它... MINT 关于为何在2025年底满仓MINT的解释： M = $META I = $IBIT N = $NBIS T = $TSM 将这些神圣的成长型公司纳入你的投资组合，你可以让呼吸更清新，从而吸引Sydney Sweeney： Mag7。加密货币。AI数据中心。半导体。 $META - Meta ___________ 愚蠢的抛售。 营收超预期。每股收益超预期。强劲指引。 当你看到营收512.4亿美元（同比+26.25%），净利润27.1亿美元（同比-82.73%）时，纸面上看起来极其糟糕。 🟢 营收：512.4亿美元 vs. 预期494.1亿美元 剔除一次性税收影响 → 🟢 每股收益：7.25美元 vs. 预期6.67美元 包含一次性税收影响 → 🔴 每股收益：1.05美元 vs. 预期6.67美元 我猜测最初的抛售是由算法驱动的，随后由机械性资金流引起。许多高频交易(HFT)和新闻解析系统会对直接从数据源（彭博、路透等）拉取的头条每股收益数字做出反应。 如果报告的GAAP每股收益（1.05美元）与共识预期（6.67美元）并列显示，系统会将其标记为大幅不及预期。显然这是推测性的，但许多模型并未编程以归一化处理一次性税收费用（这是新的），也不会知道去查看实际超预期的调整后每股收益（7.25美元）。 现在新闻声称抛售是由于AI资本支出惊喜所致。如果接受这个说法，因“AI资本支出增加”而下跌15%+纯粹是叙事，毫无意义，因为$MSFT、$GOOGL、$AMZN、$TSLA以及每一个Mag7都在增加资本支出。 $META做同样的事却遭到抛售说不通，除非人们认为它只是进入一个没有投资回报的黑洞（市场不同意，因为AI基本上在推动$SPY）。 一旦周末有时间让人们消化实际发生的情况，恢复将是极强的买入机会。误读+愚蠢的叙事可能导致短期过度反应（1-2个交易日），通常会被逆转。 $IBIT - 比特币 ___________ 它是比特币。目前位于11万美元。 随着美国政府的支持，以及持续的货币通胀+资金流向新一代人，没有比BTC更好的通胀对冲工具了。 Polymarket仍然定价比特币在2个月内上涨40%至13万美元，即使它上涨几个百分点，你也可以在加密货币和底层资产上获得上行空间。 $NBIS - Nebius ___________ 核心业务估值：310-365亿美元 分部加总（现金、资产、投资组合）：~106亿美元（削减40% = ~63亿美元） 基准情景估值：~390亿美元 → 即使零增长也有高上行空间 核心业务有望在FY26-27实现~50亿美元年度经常性收入(ARR)，60-70%毛利率，30%息税折旧摊销前利润(EBITDA)目标。 通过再达成一个超大规模云厂商协议+SMB扩张，实现80-120亿美元ARR可能证明~1000亿美元估值合理。 无有毒债务，高GPU利用率，全栈架构 → 更高的经营杠杆。 你可以看我引用的要点比较，以便你对$NBIS vs $IREN做出自己的判断。 然而，我将始终维持$NBIS拥有包括$IREN到$CIFR在内的最高非对称回报，因为现有的超大规模云厂商协议、企业客户（Shopify, Accenture）、政府客户、1GW容量、来自全栈的高毛利率等。 这并不是说来自$WULF的Fluidstack + Google协议以及其他容量方面没有高上行空间。 Nebius的下行风险最低。而且它真的、真的有高上行空间。 $TSM ______________ 它是AI交易的中心。 他们已经指引利润率增加——这是天文数字般的。 营收：331亿美元 vs. 315亿美元预期。 每股收益：2.92美元 vs. 2.59美元预期。 指引：322-334亿美元 vs. 320亿美元预期。 他们超收了营收指引，利润率增加，他们印钱的速度真是天文数字。 财报前交易在305-310美元，现在回到300美元。 这是一家万亿+美元的公司，同比增长30%+且利润率提升——到底怎么回事。 我之前在$GOOGL 145美元和$HOOD 20美元时说过同样的话。他们印钱。 没必要辩论$ALAB vs $CRDO，$IREN vs $NBIS，$AMD vs $NVDA。 $TSM是整个AI建设周期的中心，所以这只是等待游戏。 _ 就是它$MINT。 享受歌曲的预告，有点炸。🎶
英文原文
There’s only Four stocks: 🍬 MINT That have ABSURDLY HIGH, asymmetrical return. Meaning Low Capital Risk. High Upside Return. This is only for Nov + Dec 2025. Here it is... MINT An explanation of why to full port MINT for end of year 2025: M = $META I = $IBIT N = $NBIS T = $TSM With these four holy growth companies in your portfolio, you can make your breath smell better so you can pull Sydney Sweeney: Mag7. Crypto. AI Data Center. Semiconductor. $META - Meta ___________ Stupid sell-off. Revenue Beat. EPS Beat. Strong guidance. It looks extremely bad on paper when you look at Revenue $51.24B (+26.25% Y/Y), Net income $2.71B (-82.73% Y/Y). 🟢 Revenue: $51.24B vs. est. $49.41B Without one-off tax → 🟢 EPS: $7.25 vs. est. $6.67 With one-off tax → 🔴 EPS: $1.05 vs. est. $6.67 My guess was the initial sell-off was algorithmically driven, then caused by mechanical flows. Many high-frequency trading (HFT) and news-parsing systems react to headline EPS numbers pulled directly from data feeds (Bloomberg, Reuters, etc.). If the reported GAAP EPS ($1.05) is printed alongside a consensus of $6.67, the system flags it as a massive miss. Obviously this is speculative, but many models aren't programmed to normalize for one-time tax charges (which is new) and won’t know to look at adjusted EPS ($7.25), which actually beat. Now news are claiming the sell-off was due to AI capex surprise. If we go with this, -15%+ on “AI capex spending increasing” is just pure narratives and means absolutely jack since $MSFT, $GOOGL, $AMZN, $TSLA, and every single Mag7 is increasing on capex. $META doing the same and selling off doesn’t make sense, unless people believe it’s just going into a black hole with no ROI (which markets disagree since AI is basically running $SPY). Extremely strong buy on recovery once there’s time over the weekend for people to digest what actually happened. Misreads + stupid narratives can cause short-term overreactions (1–2 sessions), often reversed. $IBIT - Bitcoin ___________ It’s Bitcoin.And sitting at $110k. Bitcoin is here to stay with US government support, and with all the ongoing currency inflation + flow of money going to newer generation, there’s no better hedge against inflation than BTC. Polymarket still prices Bitcoin 40% to $130k in 2 months’ time, even if it moves up a few percent you can have upside on CCs and upside on the underlying asset. $NBIS - Nebius ___________ Core business valuation: $31–36.5B Sum-of-parts (cash, assets, portfolio): ~$10.6B (slashed 40% = ~$6.3B) Base case valuation: ~$39B → high upside even with zero growth Core business on track for ~$5B ARR (FY26–27), 60–70% gross margins, and 30% EBITDA target. Hitting $8–12B ARR (via one more hyperscaler deal + SMB expansion) could justify ~$100B valuation. No toxic debt, high GPU utilization, full-stack architecture → higher operating leverage. You can look at the bullet point comparison that I quoted so you can make your own judgement on $NBIS vs $IREN for example. However, I’ll always maintain $NBIS has the highest asymmetrical return over anything including $IREN to $CIFR due to existing hyperscaler deals, enterprise clients (Shopify, Accenture), Government Clients, 1GW capacity, high gross margins from full-stack, and many others. That’s not saying there’s not high upside from $WULF from Fluidstack + Google deals, and others from capacity. The downside risk on Nebius is the lowest. And it has really, really high upside. $TSM ______________ It’s the CENTER. OF. THE. AI. TRADE. They’ve already guided INCREASING MARGINS - which is astronomical. Revenue: $33.1B vs. $31.5B est. Earnings per Share: $2.92 vs. $2.59 est. Guidance: $32.2B – $33.4B vs. $32.0B est. They’ve beat revenue guidance, increasing margins, and it’s just astronomical how much money they’re printing. It was trading at $305–310 pre-earnings, now back at $300. It’s a $1T+ company that grew 30%+ Y/Y with their margins — what the actual. I said this about the money printer $GOOGL back at $145 and $HOOD back at $20. They print money. There's no need to debate $ALAB vs $CRDO, $IREN vs $NBIS, $AMD vs $NVDA. $TSM the center of the whole AI buildout, so it’s just a waiting game. _ There is it $MINT. Enjoy a teaser of the song, kinda a banger. 🎶
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博主分享持仓相似性并询问对方看好NBIS的理由
@pepemoonboy 哈哈，自从我前几天加仓 $META 后，我们的多头持仓现在很相似。我只是在 $TSM 上押注更重，而不是 $NVDA。是什么让你确信 $NBIS？
英文原文
@pepemoonboy lol we have similar longs now that I added $META the other day. I just went harder on $TSM instead of $NVDA. What convinced you on $NBIS?
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对比NBIS与IREN，认为NBIS因高ARR和现金储备更具优势。
两者都不错。无论选哪个都不会错。 但是，如果要在最小化风险的同时追求巨大回报，$NBIS 显然优于 $IREN。 他们的净资产超过 100 亿美元，其中 58 亿美元为现金，其余为处于超大规模扩展中的投资组合公司（如 Clickhouse）的股票。 Clickhouse 为 Anthropic 和 $META 提供基础技术。 此外，凭借与 $MSFT 的合同，其年度经常性收入（ARR）在基准情况下达到 49 亿美元。 即使增长完全停滞，其估值预计也将超过 400 亿美元。 然而，考虑到其季度营收增长率超过 1000%，我认为再获得一家超大规模云服务商的合同，其市值就有望达到 1000 亿美元。 相比之下，$IREN 以投资产能的形式存在，目前除 Poolhouse 外，没有明确的企业合同等前景。 在这方面，$NBIS 已经直接与微软、Shopify、埃森哲等政府机构和企业进行交易。
英文原文
Both are good. どちらを選んでも間違いではありません。 しかし、リスクを最小限に抑えつつ大きなリターンを狙うなら、$IREN よりも $NBIS が明らかに優れています。 彼らの純資産は 100 億ドル以上で、そのうち 58 億ドルが現金、残りは Clickhouse のようなハイパースケーリング中のポートフォリオ企業の株式です。 Clickhouse は Anthropic や $META を支える基盤技術を提供しています。 さらに、$MSFT との契約により、ベースケースでの年間経常収益（ARR）は 49 億ドルに達しています。 仮に成長が完全に止まったとしても、評価額は 400 億ドル以上と見込まれます。 しかし、四半期ごとの収益成長率が 1000% を超えていることを考えると、もう1件ハイパースケーラーとの契約を獲得すれば、時価総額は 1000 億ドルに達する可能性があると見ています。 一方で $IREN は、キャパシティへの投資という形になりますが、現時点では Poolhouse 以外に企業契約などの明確な見通しがありません。 その点、$NBIS はすでに Microsoft、Shopify、Accenture などの政府機関や企業と直接取引を行っています。
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博主表示刚加仓 META，目标价看至 680 美元。
@daggarwal917 @m9jdn8yz9c @soulbiri1 刚刚又加仓了 $META，现价 $646，1 月目标价约 $680 左右。
英文原文
@daggarwal917 @m9jdn8yz9c @soulbiri1 Added more $META just now $646 Jan ~$680ish
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确认META如期抛售，等待跌破650美元的机会。
@m9jdn8yz9c @soulbiri1 是的，正如预期，$META 迎来了第二天的抛售（flush）。正在等待任何跌破 650 美元的微小缺口。
英文原文
@m9jdn8yz9c @soulbiri1 yep second day flush on $META as expected. Waiting for any little break below $650
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看好全栈新云$NBIS利润率优势，减持矿工股。
市场开始定价： 像 $NBIS 这样的 AWS 式全栈新云（Neocloud）与 $CIFR、$BITF、$CLSK 等矿工之间的分化。 这就是我卖出 $IREN、$WULF 等并集中持仓 Nebius 的原因。 为什么？ 💹 利润率 > ⚡️ 产能。 就在今天： Nebius 的 CTO 表示： “市场上几乎没有真正的‘新云’。所谓的新云不过是一堆裸金属服务器，上面堆砌了大量第三方软件。” 耸人听闻？完全不是——如果你认真对待“云”这个概念，而不仅仅是堆砌硬件盒子。 Danila 解释了裸金属运营商很快就会发现 Nebius 已经在大规模层面解决的那些挑战。 这正是我指出 $NBIS 拥有最高非对称上行潜力的原因，因为矿工在规模化时可能会在利润率上挣扎。 我们还看到 Nebius 联合创始人 Roman Chernin 在《福布斯》的文章中总结，AI 经济需要一种新的、全栈的、AI 原生基础设施，而不是拼凑起来的系统： “你可以从一个供应商购买机架，将它们连接起来……但从长远来看，经济性、灵活性和速度取决于你是否控制自己的全栈。” “如果你控制全栈，你就控制产品、性能和经济效益。” _ 这并不意味着像 $WYFI、$APLD、$WULF 等其他高性能计算（HPC）公司没有增长空间，新云板块才刚刚开始上涨（尤其是当我们看到 $META 或 $AMZN 的财报时）。 然而，在投机阶段，我们已经为矿工的产能建设定价——大多数已经上涨了 50–200%+。 但谈到执行层面，那些控制全栈的人将在利润率上获胜。 我们看到 $CRWV 亲自体会到了这一点，花费数十亿美元进行软件收购，利用率仍低于 $NBIS（根据白皮书）。 我们也看到一家市值 8000 亿美元的超大规模云厂商（Oracle）未能建立其全栈，毛利率仅为 14%。 如果 Oracle 都无法完全整合其软件，CoreWeave 仍在花费数年时间尝试这样做，小型矿工如何转型？ “仅 Type-1”运营商的论点将艰难地发现规模化时的利润率压缩是什么样子的。 正如《福布斯》文章总结： “归根结底，如果你只是连接盒子或在无法控制的基础设施上构建服务，你在规模和效率的游戏里将受到限制。” $NBIS 今天就已经拥有全栈。
英文原文
Markets are starting to price in: A divergence between AWS-style full-stack Neoclouds like $NBIS and miners such as $CIFR, $BITF, $CLSK, and others. This is the reason I sold off $IREN $WULF and others, and consolidated into Nebius. Why? 💹 Margins > ⚡️Capacity. Just today: The CTO of Nebius stated: “Almost no Neocloud in the market is actually a cloud. As in a bunch of baremetal with a ton of third-party software slapped on top.” Provocative? Absolutely not — if you take the term “cloud” seriously, not just as slapping on a bunch of hardware boxes. Danila explained how baremetal operators will soon discover the challenges Nebius has already solved at scale. And that’s exactly why I stated $NBIS has the highest asymmetrical upside, since miners may struggle with margins at scale. We’ve also seen a Forbes article by Nebius Co-Founder Roman Chernin, summarize how the AI economy requires a new, full-stack, AI-native infrastructure, not the stitched-together systems: “You can buy racks from one supplier, cable them together... but in the long term, economics, flexibility and speed depend on you controlling your own stack.” “If you control the stack, you control the product, the performance, and the economics.” _ This doesn’t mean there’s no room for other HPC companies like $WYFI, $APLD, $WULF, and others to grow, and the Neocloud segment is just beginning its run-up (especially when we look at $META or $AMZN earnings). However, during the speculation phase, we’ve already priced in capacity buildout with miners - most are already up 50–200%+. But when it comes to execution, those who control the full stack will win on margins. We’ve seen $CRWV figure that out firsthand, spending billions on software acquisitions and still maintaining lower utilization than $NBIS (as per the whitepaper). We’ve also seen how an $800B hyperscaler (Oracle) failed to build out its stack, running at 14% gross margins. If Oracle couldn’t fully integrate its software, and CoreWeave is still spending years trying to do so, how will small miners pivot? Arguments from “Type-1 only” operators will find out the hard way what margin compression at scale looks like. As the Forbes article concludes: “At the end of the day, if you’re just cabling the boxes or building service on top of infrastructure you don’t control, you’re limited in the game of scale and efficiency.” $NBIS already has that full stack today.
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持有ETF和LEAPS是安全的上行策略，需匹配个人风险偏好。
@WZRDtheWise @blu400_ 持有像 $META 这样的 ETF 和长期期权(LEAPS) 并没有错。这大概是最安全的上行策略，而且每个人的风险偏好都不同。
英文原文
@WZRDtheWise @blu400_ There’s nothing wrong with holding ETFs and Leaps on stuff like $META. That is probably the safest upside thing to do, and everyone has different risk profiles.
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预期META明日回调洗盘，计划周五加仓看涨期权。
@soulbiri1 这些 $META 的看涨期权(call options) 可能会大赚！ 我有点预期它明天会再次下跌以洗盘(shake out)，所以我打算在周五买入第二组看涨期权。
英文原文
@soulbiri1 These $META calls are probably going to print! I’m kinda expecting it to drop again tomorrow to shake people out so I was going to buy a second set of calls on Friday.
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Meta AI支出利好下游供应商NBIS和CRWV
@BaronAfanas 哈哈，$VIRT 表现依然落后，但很高兴看到它略有回升。 对于 $NBIS，很难不持看多态度。 人们抱怨 $META 在人工智能资本支出(AI Capex)上花太多钱，哈哈。 如果有什么影响的话，这些资金最终只是流向了像 $CRWV 和 $NBIS 这样的公司。
英文原文
@BaronAfanas lol $VIRT is still underperforming but glad it’s recovering a bit. For $NBIS hard not to be bullish. People are complaining about $META spending too much on AI capex lol. If anything that money just funnels down to companies like $CRWV and $NBIS.
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Meta核心盈利强劲，AI支出争议属叙事，作者认为可轻松买入。
@DiscountedBTC 对于 $META，其核心盈利表现卓越，若忽略一次性税收影响，其每股收益(EPS)大幅超预期。这仅仅是关于人工智能资本支出(AI Capex)是陷入无底洞还是会产生投资回报率(ROI)的争论，但这只是市场叙事。对我来说，这是轻松买入的机会。
英文原文
@DiscountedBTC For $META their core earnings were stellar and if you ignore the one time tax they strongly beat EPS. It’s just an argument of whether AI capex is going into a black hole or will have ROI but that’s just narratives. Easy buy for me
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因IV低且看好复苏，博主倾向用看涨期权杠杆做多META。
@blu400_ 隐含波动率(IV)极低。我也可以买入数百万股，但使用看涨期权(Calls)可以用少量资本获得极高的杠杆。我也对复苏充满信心，这就是为什么我接受在 $META 上使用杠杆。
英文原文
@blu400_ IV is extremely low. I could buy millions in shares too but with calls, it’s really high leverage for low capital. I’m also confident on recovery which is why I’m fine with leverage on $META
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看好META财报，认为股价下跌系税务影响，预计短期反弹。
@soulbiri1 是的，很好的买入机会，财报表现优异，股价下跌看起来是因为一次性税务影响。 我不喜欢其资本支出(capex)的投入，但这目前只是叙事层面的问题，因为人们都在为其他“七巨头(mag7)”的资本支出欢呼。 $META 可能在一两周内就会恢复。
英文原文
@soulbiri1 Yeah great buy, stellar earnings, looks off due to one-time tax. Don’t like capex spend but it’s just narrative at this point since people are cheering on other mag7 capex spend. $META will probably recover in a week or two
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Meta 或短期回调，建议利用高流动性分批建仓。
@rioferdy838 $META 可能会经历为期两天的抛售，日内低点下跌 15% 或随后回到 650 美元。这就是为什么我说成本平均法（Cost Averaging）很重要。 通常财报发布后不会立即买入，但由于高流动性，Mag7 是个例外。 另外更正一下之前的帖子，是 2-6 天的反弹，而非完全恢复。
英文原文
@rioferdy838 $META might 2 day flush so -15% intraday low or back to $650 later. Which is why I said cost averaging is important. Usually you don’t buy right after earnings but Mag7 is an exception due to high liquidity. Also correction to post, 2-6 day recovery, not full recovery
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博主在META抛售中加仓看涨期权，视其为巨大机会。
1-2月期间，我在 $META 的看涨期权上增加了6张合约。去年4月也发生过同样的情况，当时花了2-6天才完全恢复。业绩超预期，基本面完好无损。关于资本支出(capex)的故事也一样。可能只是两天的抛售，所以我正在通过成本平均法(cost averaging)加仓，但这次抛售是一个巨大的机会。
英文原文
Added 6 figures in Jan-Feb $META calls. Same thing happened last year April and it took 2-6 days for full recovery. Earnings beat, fundamentals in tact. Same story about capex spend. Might be 2 day flush so cost averaging but this selloff is a huge opportunity. https://t.co/S3CwYsdaU4
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讨论$META看涨期权策略，倾向短期限以应对波动。
@gunnaosrs 是的，$META 的看涨期权(call options)看起来像是白送的钱，你的心态很对。不过我不会做大幅跳跃(leaps)，可能会选择期限更短的看涨期权，因为很多时候需要2-3天才能恢复。 我在想第二天(day-2)的抛售，或者如果今天盘中下跌15%以上，但让我们看看会发生什么。
英文原文
@gunnaosrs Yeah $META calls seem like free money, you have the right mindset. I'm not doing leaps though probably shorter dated calls since it takes 2-3 days for recovery a lot of times. I was thinking day-2 flush or if it drops 15%+ intra-day today but we'll see.
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计划研究DBRG，并观察META财报以决定期权交易。
@gunnaosrs 我也需要研究一下 $DBRG，我时不时就会听到这个名字被提及。目前我个人正在关注 $META 的财报，以决定是否要买入期权。
英文原文
@gunnaosrs I need to look at $DBRG too, I keep hearing that name pop up from time to time. I'm just personally looking at $META earning right now to see if I want to enter options.
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宏观视角下，利用年底季节性、降息预期及机构资金流向，激进配置新云与AI赢家股。
宏观分析： 关注领域：资金流向 · 代理指标 · 季节性 · 仓位配置 布局： _ 新云(Neocloud)：$NBIS · $IREN · $CIFR · $DGXX 连接性(Connectivity)：$ALAB · $CRDO · $CLS 机器人(Robotics)：$KRKNF · $ONDS · $RR 国家安全(National Security)：$RKLB · $MP · $KTOS · $CCCX 能源(Energy)：$FLNC · $EOSE · $TE · $SEI 半导体(Semi)：$TSM · $AMD · $NVDA · $MU _ 第一部分 - 机构资金流向 进入10-11月，对冲基金卖出表现不佳的股票以锁定税务亏损并重新平衡仓位。 这造成了由税务亏损收割(tax-loss harvesting)带来的机械性下行压力，即轮动年内亏损股并轮动至赢家股。一旦这种抛售结束且洗售(wash sale)窗口期过期，机构和量化基金通常在12月中下旬或1月初回购这些超跌股。 上述布局展示了所有年内上涨的股票，通常你希望在年底通过收割亏损股并加仓赢家股来激进配置。 像$SNAP、$ETOR、$DRFT等可能在基本面被低估的股票，很大程度上受机构仓位配置影响。除非你想等待2-3个月并在此期间积累筹码（这也是有效策略），否则顺势而为更好。 第二部分 - 代理指标(Proxies) 新云 - 我们看到了$META与$CRWV的交易，$WULF与$GOOGL及Fluidstack的合资企业，$MSFT对OpenAI的计算需求增加等，这对整个新云板块极其看涨。因此该板块可能继续跑赢大盘。 国家安全 - 我们看到特朗普持有$MP等关键材料公司的股份，并开始关注支持更多国家安全风险，如量子计算公司$RGTI、$IONQ等。这对$RKLB等其他国家安全建设板块总体利好。 半导体 - $TSM是半导体建设和需求的最佳代理指标，其远期营收预测令人难以置信。人们常犯的错误是看$ASML的晶圆厂周期，但这并非正确的代理指标。 我们可以用$CLS作为连接性的代理指标，或用$BE的财报作为能源的代理指标等。 但通常，你可以通过该领域的其他公司很好地判断哪个板块正在跑赢或可能表现良好。 第三部分 - 季节性 11月和12月是股市表现最强的月份。 这更多是心理层面的，因为情绪因素。但也部分出于机械性原因，因为基金在10月进行税务亏损收割重新部署现金后，“追逐业绩”以锁定年度收益。 第四部分 - 仓位配置 这完全取决于你自身的风险水平。例如，对于较小的$10万投资组合，你可以像这样激进配置： 25% $NBIS, 10% $IREN, 10% $ALAB, 10% $CRDO, 5% $KRKNF, 5% $FLNC, 5% $TSM看涨期权, 20% 杂项或低贝塔(如$HOOD), 10% 现金。 如果你想做“赌徒”(degen)，现在可能是最好的时机。我之前举过一个ETF的例子说明如何配置，但我通常不建议将整个投资组合集中在单只股票上。 还有其他未提及的板块如金融科技/电商($HOOD, $SOFI, $DLO, $SEA)等，你可以自行替换。 第五部分 - 宏观 人们担心AI泡沫，但泡沫通常在美联储收紧时破裂，我们最近已在许多泡沫股中看到修正。但现在我们将迎来另外两次降息和政府重新开放（这是一个奇怪的催化剂，但确实存在）。 根据Polymarket，有86%的概率再降息两次，这很疯狂。随着三次降息，成长股和小盘股往往因廉价资金和债务缓解激发风险偏好而飙升。大量流动性最终将流入成长股和小盘股。 _ 这只是总体趋势，你可以选择自己的股票篮子，或任何你认为不错的。我个人对新云、AI建设最看涨，并更倾向于非对称(asymmetrical)选择，但各凭喜好（例如人们在能源/机器人或金融科技上有大量仓位）。 另需注意，即使某只股票如$RGTI上涨500%，也要确保其上涨有基本面支撑（如新云、远期营收）。 但总体而言，如果你只能记住一点，那就是在两次降息、年底季节性和向赢家股集中配置时激进出击，这是前所未有的最佳时机。
英文原文
Macro Analysis: Focus Areas: Flows · Proxies · Seasonality · Positioning Setup : _ Neocloud: $NBIS · $IREN · $CIFR · $DGXX Connectivity: $ALAB · $CRDO · $CLS Robotics: $KRKNF · $ONDS · $RR National Security: $RKLB · $MP · $KTOS · $CCCX Energy: $FLNC · $EOSE · $TE · $SEI Semi: $TSM · $AMD · $NVDA · $MU _ Part 1 - Institutional Flows Into October–November, hedge funds sell underperformers to lock in tax losses and rebalance positions. This creates mechanical downside pressure from tax-loss harvesting by rotating losers YTD and rotating into winners. Once this selling ends and wash sale windows expire, institutions and quants often buy back these oversold names in uually mid tolate Dec or early January. The setup above shows every stock that up YTD, usually you want to position aggressively into these EOY by tax-harvesting losers and scaling into positions that win. Stocks like $SNAP, $ETOR, $DRFT, and others that might be undervalued fundamentally is largely affected by institutional positioning. It's better to go with the flow rather than fight against it unless you want to wait out 2-3 months and accumulate during this time (which is a valid strategy as well). Part 2 - Proxies Neocloud - We've seen $META x $CRWV deal, $WULF x $GOOGL x Fluidstack JV, $MSFT having more compute demand from OpenAI, and others, which is extremely bullish for the whole Neocloud sector. So sector will likely continue to outperform. National Security - We've seen Trump take stakes into critical material companies like $MP and start looking into backing more national security risks such as quantum names like $RGTI, $IONQ, and others. This is generally positive for other names like $RKLB or other national security buildout across the board. Semi - $TSM is the best proxy for semiconductor buildout and demand and their forward revenue projections are absolutely insane. People make the mistake of looking at Fab cycles from $ASML but it's not the right proxy. We can go on with $CLS as a proxy for connectivity or $BE earnings for energy, etc. But generally, you can get a good idea on what sector is outperforming or is likely to do well based on other companies in the area. Part 3- Seasonality November and December are the strongest months for equities. This one is more psychological because of sentiment. But also partly mechanical because funds “chase performance” to lock in annual gains after they redeploy cash from tax loss harvesting in October. Part 4 - Positioning This is purely based on your own risk level. For example, with a smaller $100k portfolio you can be fine positioning aggressively like: 25% $NBIS, 10% $IREN, 10% $ALAB, 10% $CRDO 5% KRKNF, 5% FLNC, 5% TSM calls, 20% misc or low beta (eg. $HOOD), 10% cash. If you want to be a degen, now is probably the best time to do so though. I gave an example ETF earlier on how you can position but I typically don't recommend concentrating your whole portfolio into single stocks. There are other segments I didn't mention like Fintech/Commerce ( $HOOD, $SOFI, $DLO, $SEA) and so on but you can plug and play. Part 5 - Macro People worry about AI bubbles, but bubbles pop when Federal Reserve tightens, and we recently got a correction in a lot of bubbly names. But now we're going into 2 more rate cuts and government re-opening (which is such a weird catalyst but it is one). We have a 86% chance of 2 more rate cuts which is insane (as per Polymarket). And, with a triple rate cut, growth and small caps tend to surge as cheaper money and debt easing spark risk appetite. Floods of liquidity will eventually flow into growth stocks and small caps. _ This is just the general trend, you can pick your own basket of stocks, or whatever you feel is great. I'm personally the most bullish on Neoclouds, AI buildout and positioned more heavily toward asymmetrical picks but to each their own (eg. people have large positioning in energy/robotics, or fintech) Also something to note is that even if something goes up 500% like $RGTI, make sure the rise backed by fundamentals (eg. Neoclouds, forward revenue) But generally if you had to take one piece away, being aggressive into two more rate cuts, end of year seasonality, and consolidating into winners is the best time ever for it.
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作者认为NBIS估值偏低，利好AI算力及供应链相关个股。
我礼貌地表示反对，“公允价值”应该更高。新的$NBIS数据中心将提升经常性收入(ARR)，三次降息是巨大的催化剂。刚刚，Anthropic可能与$GOOGL签署200亿美元以上的协议，这对Clickhouse、$WULF、$IREN和Neoclouds都是利好。$META与$CRWV的交易也是如此。Google/七巨头(Mag7)受算力限制，这对Nebius（尽管在此消息下仍下跌5.6%）是更大的催化剂，预计其将有更多超大规模云服务商合同落地。
英文原文
I respectfully disagree, "fair value" should be higher. There's been new $NBIS data centers for ARR boost, 3x rate cuts which is a huge catalyst. Just now, Anthropic might sign a $20B+ dollar deal with $GOOGL, which is bullish for Clickhouse, $WULF, $IREN, and Neoclouds. $META x $CRWV deals. Google/Mag7 is compute limited, and this is only a bigger catalyst for Nebius (which is still down 5.6% despite this news), which likely has more hyperscaler contracts on the way.
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Nebius基本面强劲，机构正借散户恐慌低位吸筹，建议买入。
Nebius 的走势完全符合机构投资者的预期： 散户恐慌。 投降式抛售。 流动性释放。 我几周前就说过：$NBIS 的机构持股比例约为 38%。为了将这一比例提升至 65-80%（就像 $HOOD 那样），他们会不惜使用所有手段： 以下是发生这一切的原因： 在上个月微软（MSFT）达成 170-190 亿美元的交易后，Nebius 进入了华尔街的视野。在此之前，由于非传统的公开上市方式，其机构持股比例一直低于 30%。 与此同时，我们看到了 Nebius 基本面的爆发式增长： 1. 🚀 远期营收增长超 1,000%，毛利率达 55-75%，年化经常性收入 (ARR) 增至 40-60 亿美元以上。 2. 💼 拥有 Clickhouse 等公司的大量股权，后者为 Anthropic、Meta、Lyft 等提供支持。 3. ⚡ NBIS 为微软 Azure 以及可能更多的 Mag7 基础设施提供支持，这些是超大规模云服务商 (Hyperscalers) 的现金牛。 4. 🌊 凭借全栈 + 软件 GPU 编排 (GPU Orchestration) 构建巨大护城河，从而带来更高的毛利率。 5. 💸 史上最大规模的数据中心建设，Meta 已与 CRWV 签约，其他超大规模云服务商紧随其后。我们看到了台积电 (TSM) 在此建设中的远期预测，数据惊人。 6. 🏦 三次降息提振了远期营收预测。 Nebius 是极具吸引力的买入标的，是一家百年一遇的公司，目前市值 260 亿美元，股价 100 美元。 我们在 Robinhood ($HOOD) 身上见过这种剧本：当股价为 20 美元时，曾出现低于市值目标价 50% 的情况和负面报道。然而，Robinhood 的季度营收从 1.5 亿美元增长至 9.5 亿 -10 亿美元，市值从 150 亿美元涨至 1300 亿美元，最终成为华尔街的宠儿。 华尔街和机构投资者清楚地看到 Nebius 未来一年的潜力，但尚未建立大量头寸。 然而，散户只看到下跌的股价、关于甲骨文 (Oracle) 试图进入该领域亏损 1 亿美元的耸人听闻的文章，以及当前 1 亿美元的营收数据，而非预测的季度营收 10 亿美元以上。 因此，即使价格看似因边际交易而下跌，即使更多股份被买入： 1. 散户恐慌性抛售，遭遇保证金清算 (Margin Liquidation)。 2. 做市商 (MMs) 针对短期期权（散户卖出看涨期权或买入短期看涨期权的对手方）进行机械对冲，加剧下行压力，引发抛售。 3. 从 Citadel 到 Virtu 的做市商通过从散户手中买入来吸收流动性。 4. 做市商通过大宗交易 (Block Trades) 和暗池 (Dark Pools) 向机构卸载头寸以进行对冲和再平衡。（收割机构的抛售） 5. 机构在压低股价的同时进行低可见度的积累。（例如：散户卖出 10 万股，机构买入 15 万股，而股价下跌。） 散户看到“红色交易日”并认为“没人买入”，而积累仍在悄悄进行。 散户情绪崩溃，但基本面仅有所改善（例如：基于估算，新的以色列数据中心建设将增加约 8000 万美元以上的 ARR）。 这是一个缓慢且战略性的过程，对冲基金和机构将 Nebius 视为潜在的下一个 1000 亿美元市值公司，从而积累大量流通股本。 基本面没有改变——只有股价和散户情绪发生了变化。
英文原文
Nebius is playing out exactly how institutions wanted: Retail panic. Capitulation. Liquidity. I’ve been saying this for weeks: $NBIS Institutional ownership is ~38%. Every trick in the book will be used to get that number to 65-80% like $HOOD: Here's what and why this is happening: Nebius got put on Wall Street's radar after the MSFT 17-19 billion dollar deal last month. Before then institutional ownership was sitting in <30%'s due to a non-traditional public listing. Meanwhile we were able to see Nebius's fundamentals exploding: 1. 🚀 1,000%+ forward revenue growth with 55-75% gross margins to 4-6B+ ARR. 2. 💼 Large ownership of companies like Clickhouse powering Anthropic, Meta, Lyft, etc. 3. ⚡ NBIS powering Microsoft Azure + likely more Mag7 infrastructure, the cash cows of Hyperscalers 4. 🌊 Huge moat from full-stack + software GPU orchestration, leading to higher gross margins. 5. 💸 Largest datacenter builtout in history, with Meta signing deals with CRWV, and other hyperscalers following-suit. We've seen forward projections with TSM on this buildout, and they're blowout numbers. 6. 🏦 3X rate cuts boosting forward revenue projections. Nebius is a screaming buy and a once-in-a-generational company in the marketing as a $26B company and $100/share. We've seen this play with Robinhood, when they would have 50% below MC price targets, hit-pieces when share price was $20. Yet Robinhood grew from $150m quarterly revenue to $950m-1B, and market cap went from $15B to $130B and then became the darling of Wall Street. Wall Street and institutional investors see this clearly with Nebius for the next year but don't have large positions yet. However, retail only sees the dropping price, sensationalist articles about Oracle losing $100m trying to enter the space, and the current 100M revenue numbers instead of the projected $1B+/quarter. So, even if price can seem like they're dropping off marginal trades are executed at lower prices, even if more shares get bought: 1. Retail panic-sells, gets margin liquidated. 2. Mechanical hedging from MM's from short-dated options (couterparty to retail selling CSPs or buying short dated calls) exacerbates downside, creating a sell-off) 3. MMs from Citadel to Virtu absorb the flow by buying from retail. 4. MMs hedge + rebalance by offload to insitutions in block trades + dark pools. (harvesting selloff by institutions) 5. Institutions get low-visibility accumulation while keeping price down. (eg. 100k shares sold by retail, and 150k shares bought by institutions, while price drops.) Retail sees "red days" and thinks "no one’s buying" while accumulation continues quietly. Retail sentiment is collapsing but fundamentals have only improved (eg. new Israel data center build out for more ~80m+ ARR based on estimates). It's a slow, strategic process to accumulate a large percentage of a company's float as hedge funds and institutions see Nebius as a potential next 100B+ company. The fundamentals haven’t changed - only the share price and retail sentiment have.
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NBIS 短期回调不改长期看好，机构持仓低且数据中心业务爆发。
$NBIS 在无重大消息情况下下跌 17% 并未改变我的信念。我的牛市目标价(PT) 仍为 $400。 我们以前见过这种走势： - $ASTS 每股收益(ER) 从 $58 跌至 $36，随后涨至 $83。 - $GOOGL 因 AI 搜索业务从 $170 跌至 $144，随后涨至 $257。 - $HOOD 因宏观因素从 $40 跌至 $28，随后涨至 $135。 当基本面和行业势头保持完好时，尽管短期下跌，坚定的信念终将获得回报。 来自 META、GOOGL、MSFT 的超大规模云服务商(Hyperscalers) 正向 AI 数据中心投入数十亿美元，而 Nebius 正在为 Mag7 的现金牛业务提供支持，预计还将有更多超大规模云服务商的交易。未来季度营收预计同比激增 1000%。这种增长在历史上几乎闻所未闻。 机构持股比例较低（流通股的 38.3%），随着公司成长，各种手段将被用来从散户手中获取更多股份。 基本面和数据中心增长并未改变，反而呈指数级改善。（例如：今天宣布的新 Nebius 以色列数据中心，以及不断增长的年度经常性收入(ARR)）。 现在是做多(best times go long)的最佳时机，也是市场中赚取世代财富的地方。
英文原文
The -17% dip in $NBIS on no material news doesn't change any conviction. My bull-case PT is still $400. We've seen this move before: - $ASTS ER drop from $58 -> $36, into $83. - $GOOGL AI search drop from $170 -> $144 into $257. - $HOOD Macro drop from $40 -> $28, into $135 When fundamentals and industry momentum stay intact, conviction pays off despite any short-term drop. Hyperscalers from META, GOOGL, MSFT, are pouring billions into AI data centers, and Nebius is powering the cash cows of Mag7 with more hyperscaler deals likely to come. Forward quarterly revenue is set to explode 1000% Y/Y. This type of growth is almost unheard of in history. Institutional ownership is low (38.3% of the float) and every trick in the book will be played to acquire more shares off retail as the company grows. Fundamentals and data center growth have not changed, they've only gotten exponentially better. (eg. new Nebius Israel data center announcement today, growing ARR). These are the best times go long and this where generational money is made in markets.
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超大规模云合同增加，META签约利好新兴云厂商，MSFT合同未定价。
更多超大规模云服务商(hyperscaler)的合同正在陆续到来。但你关于财报+降息（以及11/12月季节性因素）作为最大短期催化剂的观点完全正确。通常公司在财报后发布更多前瞻性指引时会获得估值重估(rerated)。当$META与$CRWV签约时，这对其他新兴云厂商(neoclouds)是极度看涨的信号。除此之外，我认为$MSFT的合同和其他降息预期尚未被市场定价。
英文原文
More hyperscaler contracts coming in. But you're spot on with earnings + rate cuts (+ Nov/Dec seasonality) as the biggest near-term catalysts. Usually companies get rerated after earnings when they release more insight into forward projections. When $META signed with $CRWV that's extremely bullish for the other neoclouds. Aside from that don't think $MSFT contract and other rate cuts are priced in yet.
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博主发布降息周交易清单，强烈看好TSM及Neocloud板块，建议做多。
10月20日，重要的降息交易周。 个人想法和解释： 🛝 = 波段交易(Swing Trade) 🐈 = 催化剂交易(Catalyst Trade) 🎇 = 2026年交易，已进行税务收割(Tax Harvested) 清仓卖出(Fire Sale) 🔥 $NBIS 强烈买入(Strong Buy) $TSM $AMKR $WLAC $AMZN $LTC 🐈 $RDDT $HIMS 🛝 $IBIT $ALAB $CRDO $SMCI $FLY 🎇 $SNAP 🎇 $ETOR 🎇 $LULU 🎇 买入(Buy) $AMD $HOOD $RBRK $UNH $TGT 🐈 $IREN 🐈 $WYFI $WULF $CIFR $SLNH $BITF $GLXY $FLNC $MU （跳过“持有”，因为我过去提到的其他股票，既然没有变化，大概就继续持有）。 卖出(Sell) $ETH $BMNR $PL $BLSKY $RGTI $OKLO $IONQ $QBTS _ 宏观方面，距离降息（约97%概率）还有9天。市场处于恐惧模式。这是建立多头头寸且不减仓的理想时机。 清仓卖出 _ $NBIS - 无需多言，我仍维持2026年牛市情景下$400的目标价，基于40-60亿美元+的前瞻性收入及约60-75%的毛利率，以及另一份可能的超大规模云厂商合同（如 $META）。 周五下跌10%+是机械式对冲和做市商(MM)钉住价格所致。尽管波动剧烈，价格仍卡在$113.5。预计周一空头对冲将平仓（鉴于做市商买入看跌期权并做空看涨期权 -> 临近到期时大量做空），价格将回升。我在下跌时买入六位数的看涨期权，因为基本面没有实质性变化。 强烈买入 TSM - 天哪，请务必将其纳入投资组合。这是一台印钞机，每年营收增长38-40%的同时毛利率还在提升，简直不可思议。财报大超预期后股价回调，这是我生命中最容易的多头机会之一。 AMKR - 我尚未持有，但计划因TSM在亚利桑那州的参与以及其作为美国供应链大伙伴的潜力而加仓（随着美国推动TSM向美国晶圆厂+制造转移）。 WLAC - Neocloud SPAC IPO，上行空间巨大。我最近常提到这个，它可能是估值最好的Neocloud之一，且已有不错的利润率（并非来自矿工转型，后者不确定性稍大）。他们与Fluidstack合作，我预计若获得Mag7合同，估值将重估500%+。 AMZN - $213太离谱了哈哈。我不明白在牛市中它为何年初至今下跌-3%。 LTC - 受加密货币清算和政府停摆延迟ETF影响。现在是买入并等待ETF获批的好时机。 RDDT - 跌至$190是很好的回调。我以为$200是底部，结果跌得更低。关于ChatGPT较少引用它的新闻引发了大幅抛售，我认为这影响甚微。 HIMS - CEO减持导致下跌14%+。所有者经常卖股，对公司基本面影响不大，仅影响短期情绪。预计会反弹。 IBIT - 比特币$108k是很好的入场点，它已在$110k-$120k之间震荡一段时间，低于此价位通常很好。 ALAB - 上次我说过，因新竞争对手新闻而抛售过度。它已在市场上与AVGO竞争哈哈，拥有类似NVDA的利润率，同比增长数百%，Mag7在数据中心建设中正在使用它。 CRDO - 逻辑与ALAB类似，随Astera抛售但幅度稍小。 SMCI - 应因明年55%+的营收增长而重估。我早先怀疑这些预测，但随着数据中心增长，看起来变得现实了。 FLY - 这是中程有效载荷的博弈。人们怀疑Fly的执行能力，但NOC联合开发中程载荷消除了很多风险（并在与Falcon9竞争时可能重估500%+）。 SNAP - 我在早期的深度研究(DD)帖子中计算过Snap记忆功能的变现能力，目前完全未定价。它季度营收$13亿+，市值仅$130亿哈哈，通过增加营收+降低Google OPEX成本获得的自由现金流(FCF)非常惊人。 ETOR - 大部分为现金，以IBKR的速度增长，受税务收割影响。 LULU - 受税务收割+Alo、Vuori等竞争影响。但季节性应该不错，且现在市盈率极低。 买入 AMD - ChatGPT下AMD订单，ORCL建设AMD数据中心。随着成为$NVDA潜在竞争对手，预计明年将重估。仍认为Nvidia将主导，但鉴于其4.5T市值，即使AMD只占一小部分份额，也有很大追赶空间。 HOOD - 10%+回调后看起来好多了。可能复刻PLTR的走势。 RBRK - 之前做过深度研究，作为网络安全公司，在下跌中看起来更好，该领域倍数极低。只需削减营销，客户粘性高。 UNH - 美国医疗很烂但不会消失。认为Warren等人知道这一点。 TGT 🐈 - 下月分红，大股息股票。我认为现在是大量建仓的好时机。 IREN 🐈 - 巨大的GW，预计获得Mag7或类似交易。 WYFI - 任何Neocloud都是买入（例如见关于Mag7将收入导向这些小型10亿-50亿公司的论点）。 WULF - Neocloud博弈 CIFR - Neocloud博弈 SLNH - Neocloud博弈 BITF - Neocloud博弈 GLXY - Neocloud衍生品博弈 FLNC - Neocloud能源博弈 MU - 中国风险解除，内存在那里有巨大市场，内存也可能在数据中心建设中重估。 _ 卖出 ETH - 不喜欢$4k+的以太坊 BMNR - 如果我不喜欢这些水平的以太坊，持有国库公司也没意义 PL - 低营收，太空股（极高估值） BLSKY - 低营收，太空股（极高估值） RGTI - 量子泡沫 OKLO - 核能泡沫 IONQ - 量子泡沫 QBTS - 量子泡沫 _ 快速宏观提示： -> 9天后降息，概率~97%。预期抢跑，做多。就这些。
英文原文
October 20th, Important Rate Cut Trading Week. Personal thoughts and explanations: 🛝 = Swing Trade 🐈 = Catalyst Trade 🎇 = 2026 Trade, Tax Harvested Fire Sale 🔥 $NBIS Strong Buy $TSM $AMKR $WLAC $AMZN $LTC 🐈 $RDDT $HIMS 🛝 $IBIT $ALAB $CRDO $SMCI $FLY 🎇 $SNAP 🎇 $ETOR 🎇 $LULU 🎇 Buy $AMD $HOOD $RBRK $UNH $TGT 🐈 $IREN 🐈 $WYFI $WULF $CIFR $SLNH $BITF $GLXY $FLNC $MU (Skipping Hold, since any other stock I've mentioned in the past, it probably just hold it since nothing's changed). Sell $ETH $BMNR $PL $BLSKY $RGTI $OKLO $IONQ $QBTS _ So macro wise, we are 9 days away from (~97% or so rate cut). Market is in fear mode. This is the ideal time to go long and not cut positions. Fire Sale _ $NBIS - Needs no explanation, I still maintain $400 PT on a bull case 2026 due to 4-6B+ forward revenue off ~60-75% gross margins, and another likely hyperscaler contract (eg. $META) What happened on the 10%+ drop on Friday was mechanical hedging and MM Pinning. You can see this with the price stuck at $113.5, despite any volatility. I'd expect short hedges to unwind Monday (given MMs bought puts and were short calls -> heavy short into expiration) and price to go back up. I ended up buying 6 figures worth of calls on the drop as there was no material changes. Strong Buy TSM - Holy crap, please have this in your portfolio. This is a money printer, and scaling your revenue by 38-40% every year WHILE increasing gross margins is just insane. It dipped as well after smashing earnings so it's one of the easiest longs in my life. AMKR - I don't have this in my portfolio yet but will be looking to add due to TSM's involvement in Arizona and potential to be a big partner in the US supply chain (as America tries to push TSM toward US fab + manufacturing). WLAC - Neocloud SPAC IPO, large upside. I talk about this a lot recently, but it's probably one of the best valued Neoclouds out there, and already has great profit margins (not a pivot from miners, where it's a bit more uncertain). They work with Fluidstack, and I'd expect a 500%+ re-rating on top of a Mag7 contract. AMZN - $213 is insane lol. I have no clue how this is down -3% YTD during a bull market. LTC - Affected by crypto liquidations and government shutdown delaying ETFs. Great time to buy and just wait for ETF to be approved. RDDT - Great dip to $190. I thought $200 would be a bottom but ended up going lower. The news about ChatGPT citing it less caused a large sell-off which I think was very immaterial. HIMS - 14%+ drop off CEO share sale. Owners sell shares all the time, it doesn't really affect the fundamentals of the company much, just short term sentiment. I'd expect it to rebound. IBIT - Bitcoin $108k great entry point, it's been swinging between $110k - $120k for awhile so anything under is usually great. ALAB - I said this last time but it sold off way too much from news of a new competitor. It's already competing vs AVGO in the market lol, NVDA-like margins, growing hundreds of percent Y/Y, Mag7 using them in data center buildout. CRDO - Similar thesis to ALAB, sold off alongside Astera but a bit less. SMCI - Should get re-rated for 55%+ or so revenue growth into next year. I doubted the projections earlier but with the data center growth, it's looking realistic. FLY - This was a medium lift payload play. People doubt fly's execution but NOC co-developing medium lift takes a lot of risk off the table (and possible re-rating it 500%+ when it competes vs falcon9) SNAP - Did the math on Snap monetization of memories in an earlier DD post and it's completely not priced in yet. It's doing $1.3B+ quarterly revenue on a $13B market cap lol, and the amount FCF they would get from increasing their revenue + lowering Google OPEX costs is insane. ETOR - Majority cash, growing at IBKR rates, suffering from tax harvesting LULU - Suffering from tax harvesting + competition from Alo, Vuori, etc. But seasonally should be good, and extremely low p/e now. Buy AMD - ChatGPT putting in AMD orders, ORCL building out AMD data centers. Likely going to get a re-rating in the next year as a potential $NVDA competitor. Still think Nvidia will dominate but with it's 4.5T marketcap, AMD has a lot to catch up on even if it takes a small percent share. HOOD - Looking at a lot better after the 10%+ correction. Could pull a PLTR RBRK - Did DD on this earlier, looks better on the drop as a cybersecurity company really low multiples in the space. Just needs to cut back on marketing, customers sticky. UNH - Healthcare is sht in America but not going anywhere. Think Warren and the others know this TGT 🐈 - Dividend next moth, big dividend stock. Around now is a good time to load up IMO IREN 🐈 - Huge GW, expect mag7 or similar deal. WYFI - Any neocloud is a buy (eg. see thesis on mag7 funneling revenue down toward these small 1B-5B companies) WULF - neocloud play CIFR - neocloud play SLNH - neocloud play BITF - neocloud play GLXY - neocloud derivative play FLNC - neocloud energy play MU - China derisked, memory had a huge market there, memory also likely going to get re-rating in tdata center buildout _ Sell ETH - Not a fan of Ethereum at $4k+ BMNR - If I don't like Ethereum at these levels, no point of holding treasury companies PL - Low revenue, space stock (extremely high valuation) BLSKY -Low revenue, space stock (extremely high valuation) RGTI - Quantum bubble OKLO - Nuclear bubble IONQ -Quantum bubble QBTS - Quantum bubble _ Quick macro heads up: -> Rate cut in 9 days ~97% odds. Frontrunning expected, go long. That's all.
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区域银行恐慌是买入AI基建及新云厂商的良机，优选有真实营收支撑的标的。
宏观与回调思考 10月16日： 市场动态繁多，例如 $GLD 创历史新高，但这涉及美元的另一条复杂线索。今日股市主要下跌源于区域银行的冲击，因此我将聚焦于此。 以下是极佳的买入机会： 拥有确认的 Mag7 合同的新云厂商(Neoclouds) - $NBIS (MSFT) $CIFR (GOOGL), $WULF (GOOGL) 等。 AI 基础设施建设(AI Buildout) - 半导体如 $TSM（强烈买入，这类在爆发式财报后似乎总是回调以清洗看涨期权）。我们已有爆发式财报数据及增长的利润率+远期营收，$TSM 是我见过最简单的做多标的。TSM 的印钞能力也支持这一建设论点。 - 能源如 $FLNC 可能因数据中心建设+AI 使用带来的重估而继续上涨。 加密货币 - $BTC $107k, $LTC $90 都是极好的买入点，但我对 $CRCL 等会稍加谨慎。人们可能对 2023 年 Silvergate 倒闭及 USDC 脱钩仍有创伤后应激障碍(PTSD)。 某些股票急需修正： - 量子计算 - 机器人/无人机 - 关键矿产（仅特定标的可能优质） 这些公司零营收却因炒作呈抛物线增长。 区别在于，新云厂商+AI 基础设施建设是基于执行确认的营收。它们虽都是国家安全风险，但 AI 建设有全球最富有的超大规模云厂商背书。 “$AMZN, $META, $MSFT, $GOGL 等今年资本支出预计达 3200 亿。”- BI “$META, OpenAI 和 $ORCL 宣布未来几年将在数据中心投入超 1 万亿美元。”- BI 具体发生的情况： 市场今日因区域银行担忧下跌，但可能被夸大。最新恐慌源于 Zion/Western Alliance 的借款人欺诈。我猜测是个别银行问题，而非会导致信贷紧缩的系统性银行崩溃。 两周后降息概率接近 98%。这是全面必要的修正（以清除泡沫）+杠杆交易+期权流向。利用此次修正做多。 这仍是整个 AI 建设的最早期阶段，我预计 $NBIS 为例，1 年内 ARR 将增至 45 亿-70 亿+，市值从当前增至 600 亿+。 再次强调，新云厂商的炒作源于远期营收增长（基本面），而量子/部分无人机公司的炒作基于承诺。现在是扩大拥有疯狂远期营收增长（将导致市值大幅重估）公司多头的完美时机，而非仅如量子计算般的行业叙事/投机。
英文原文
Macro + Dip thoughts Oct 16th: There's a ton going on, eg. $GLD hitting ATHs, but that's a whole different rabbit-hole on the USD. Main stock drop today was due to a shock from regional banks, so I'll focus on that. It's a great buying opportunity on: Neoclouds with confirmed Mag7 contracts - $NBIS (MSFT) $CIFR (GOOGL), $WULF (GOOGL) etc. AI Buildout - Semis such as $TSM (Screaming buy it always seem to dips like this after blowout earnings to wipe off calls). We already have blowout earnings numbers and increasing margins + forward revenue, $TSM is just the easiest long I've ever seen. TSM printing money also supports this builtout thesis. - Energy such as $FLNC will likely continue going up because of re-rating bc of data center buildout + AI use. Crypto - $BTC $107k, $LTC $90 all amazing buys, I'd be a tad more cautious of $CRCL and others though. People probably have PTSD from 2023 silvergate, etc. going down and USDC depegging. It's a much needed correction for certain stocks: - Quantum - Robotics/Drones - Critical Minerals (only specific ones are likely good) That have 0 revenue and are increasing parabolically off hype. _ The difference is that Neoclouds + AI Buildout is confirmed revenue based on execution. They're all national security risks but AI Buildout has the wealthiest hyperscalers in the world are backstopping it. " $AMZN, $META, $MSFT, $GOGL, and others could spend an estimated 320B on capex this year". - BI " $META, OpenAI, and $ORCL, have announced plans to spend more than $1 Trillion on Data Centers in the next several years"- BI _ In terms of what happened in specific: Markets dipped today on regional banking fears, but it's likely overblown. The latest scare was due to Zion/Western Alliance mainly due to borrower fraud. My guess is that it's individual banks, not systemic banking collapses that would have credit tightening. We have a near-confirmed rate cut (close to 98%) in 2 weeks time. This is a correction needed across the board (to wipe away the froth) + leverage traders + option flow. use this correction to go long. This is still one the earliest parts of the whole AI buildout, I do expect $NBIS as an example to scale up to 4.5B-7B+ ARR in 1 year and $60B+ marketcap from here. Again the hype built into Neoclouds are because of forward revenue growth (fundamentals), while the hype into Quantum/some drone companies, etc. are based around promises. It's a perfect time to scale up longs from companies with INSANE FORWARD REVENUE GROWTH (which will cause large re-ratings to marketcaps) not just industry narrative/speculation like Quantum.
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博主基于宏观利好更新美股AI/半导体/能源等板块的强烈买入、买入及持有名单。
大豆/植物油崩盘，个人思考与解释： 强烈买入 $ALAB $CRDO $NBIS $WLAC $LTC $TSM $BTC （+ 同上次税务收割股） $AMZN $SMCI _ 买入 $AMD $FLNC $SEI $BZAI $NKLR $IREN $WULF $CIFR $CRWV $BITF $WYFI $SLNH $BITF $RBRK $GLXY $GRAB $SEA $META $TGT $SNAP $MU $RKLB $FLY $UNH 持有 $MP $HOOD $EOSE $NVDA $GOOGL $DFLI $SOFI $VIRT $RR $AVGO $BE $ASTS （已达推文股票代码上限，其余同上次帖子，Quantum或Oklo仍建议卖出） _ 强烈买入 ALAB - 数据中心建设的重要组成部分，拥有类似英伟达(NVDA)的利润率，客户包括Mag7。已有来自博通(AVGO)的竞争者，真的不认为Arista会构成竞争威胁。 CRDO - 与ALAB同样的抛售，之前觉得两者都略有高估，但现在回到修正区间，适合补仓。 NBIS - $400目标价牛市情景。宏观顺风来自政府重新开放+10月底降息预期进入财报季，短期前景看好。利好众多（如Meta x CRWV，因此有更多Mag7客户的潜力），分部表现良好，例如Clickhouse，季度收入从$1亿扩展到$15亿+非常惊人。合同已锁定，只是公司执行的问题。 WLAC - 之前在$13时写过投资逻辑。即使在$14.5也很强，因为它可以轻松重估100%+。 LTC - 受杠杆交易者和政府停摆影响。预计停摆将持续一段时间，主要买入理由是ETF获批。但无论如何，低于$100都是很好的买入点，因为最终会获批（~95%概率）。 TSM - 天哪。如果是美国公司这将是$3万亿市值的公司，利润率惊人，对于其规模而言增长率惊人。每篇关于OpenAI X (**Sydney Sweeney合作)或AMD建设/NVDA建设的帖子中，TSM都是核心，即使以历史高点买入，也轻松成为$2万亿+公司（目前约$1.5万亿）。 BTC - $112K是好的入场点。黄金不断创历史新高，基本面没什么变化，只是最近大量清算。 （+ 同上次税务收割股） AMZN - 我真不知道为什么年初至今还在跌。我觉得亚马逊不需要太多解释，但仍在增长（例如AWS积压订单巨大，仍增长24%，当然不如ORCL、GCP等），但考虑到年底季节性和2月前的上涨，现在可能是抄底的最佳时机。AMZN今天触及$213-215是补仓的好机会，因为短期波段交易通常浮动在$218-$227，但长期我预计它会追赶其他Mag7。 SMCI - 被低估。市场关注短期表现，Charles引用的55%+同比前瞻收入增长无人相信+未实现的积压订单。但现在随着所有数据中心建设，这开始说得通了。因此应在接下来两次财报中重估。 _ 买入 AMD - OpenAI x AMD，Oracle使用AMD建设，这么多交易，如果它确实是$NVDA的强劲竞争对手，将重估为潜在$1万亿+公司。我不认为赢家通吃，可以看到$NVDA $4.5万亿+市值和$AMD $3500亿市值，所以我们可以看到大幅拉升（OpenAI通常是前沿模型领导者，如果Sam说他们可以使用AMD芯片+Elon说它对中小模型有益，可能意味着积极信号） FLNC - AI消耗后能源强劲重估，很好的买入。 SEI - AI消耗后能源强劲重估，很好的买入。 BZAI - 别人做过这家公司的深度研究，仅因板块和向边缘计算转移（例如机器人将很热）。由于低市值和类似公司的上涨可能表现良好。 NKLR - 像$OKLO这样的核能股已经起飞，这只是跟随梯队。 IREN - 无需介绍，巨大的GW算力，只是还没有宣布Mag7交易，但随时可能到来 -> 强劲重估。不是强烈买入的唯一原因是因为不完全确信矿工能像CRWV那样转型并保持高利润率（例如$ORCL打击文章），但我们会看到。 WULF - GOOGL积压订单，另外$3.6+亿左右的资金帮助很大。 CIFR - X上有很多关于未来产能和强劲重估的信息。一直喜欢这家公司，因为它是NBIS-lite。你可以买任何Neocloud，因为板块潜力巨大，Mag7将收入注入。 CRWV - 因为债务不像其他人那样喜欢，但由于植物油修正，$134（低于META交易宣布时）是更好的买入点 BITF - Neocloud类别相同 WYFI - Neocloud类别相同 BITF - Neocloud类别相同 GLXY - Neocloud类别相同，有助于其建设 RBRK - 做过深度研究，中期网络安全板块很好的买入，他们只需缩减营销，然后看起来有更多自由现金流，因为他们将大部分运营支出花在营销上。 GRAB - 基本面很好，-6.56%修正再次买入 SEA - 东南亚的AMZN，很多人使用。仅因客户群+变现潜力就买入。基本面$50亿+收入38% Y/Y增长也很好。 META - 我真的很不喜欢他们在AI上的昂贵资本支出，因为他们并没有像ChatGPT那样推出前沿模型，谁知道Zuck在做什么。但除此之外，一个月下跌7.3%，回到$700支撑位，可能在这里买入以追赶是个好主意。 TGT - 下个月股息是好的催化剂。 SNAP - Jenners回来了（有助于人气），他们将前记忆运营支出转为收入，这可能会导致明年巨大的重估。只是受税务收割影响，否则现在会是强烈买入。通常税务收割事件在12月完成。 MU - 现在中国恐惧稍微减弱，MU因为建设中的内存使用而成为更强的买入。 RKLB - 中子，金色穹顶合同，很多催化剂 FLY - 中等提升 UNH - 不受大豆影响的医疗保健股，但有修正。机构发布持仓后可能会上涨（例如Warren可能买了更多） 随机想法 基本上任何不是Oklo的成长/风险股都很好，因为我们有 -> 10月底降息 -> 政府重新开放（可能在10月底或11月初） 进入 -> 12月降息。 -> 中期选举（对股票看涨） 通常市场崩盘发生在紧缩而非宽松时。你的愚蠢量子泡沫可能会再持续3-12个月。如果你做空，可能等到明年2月。 无论如何，这是风险偏好的好时机，特别是搭乘Neoclouds -> 相关板块（例如能源）-> 相关公司（例如smci, tsm等）的趋势。 我半开玩笑地说大豆，因为它可能签署了升级紧张局势，但我可能会看到明年前的上涨。另外我可以写很多关于每一个的内容，但这很耗时，但我会不时发布关于随机股票如$RBRK的投资逻辑帖子。 太空/机器人/能源/量子/AI/半导体/关键垂直领域是目前最顶级的，不要对抗动量。我可以认为某些东西被高估了（例如一些关键材料，因为与Neoclouds相比仍然具有投机性，后者基于Mag7的执行有保证的收入），但我不会在降息时做空它。 只是个人想法，非财务建议
英文原文
The Great Soybean/Seed Oil Crash, personal thoughts and explanations: Strong Buy $ALAB $CRDO $NBIS $WLAC $LTC $TSM $BTC (+ same as tax harvest stocks last time) $AMZN $SMCI _ Buy $AMD $FLNC $SEI $BZAI $NKLR $IREN $WULF $CIFR $CRWV $BITF $WYFI $SLNH $BITF $RBRK $GLXY $GRAB $SEA $META $TGT $SNAP $MU $RKLB $FLY $UNH Hold $MP $HOOD $EOSE $NVDA $GOOGL $DFLI $SOFI $VIRT $RR $AVGO $BE $ASTS (Hit the ticker maximum but everything else from last post, still sell on Quantum or Oklo) _ Strong Buys ALAB - Huge part of datacenter buildout, NVDA like margins, Mag7 customers. Already had competitors from AVGO, really don't think Arista would be a competitive threat. CRDO - Same sell-off as ALAB, thought they were both kind of overvalued before, but now they're back in correction territory so good to stock up. NBIS - $400 PT bull case. We have macro tailwind from government re-opening + rate cut EOM october into earnings, so short term looks promising. Lot of things going for it (eg. meta x crwv, so there's potential for more mag7 clients), sum of parts doing well, eg. clickhouse, and scaling rev from $100m to $1.5B+ a quarter is insane. there's already contracts locked in its just a matter of company execution. WLAC - Wrote a thesis about this earlier at $13. Even at $14.5 strong because it can re-rate 100%+ easily. LTC - Affected by leverage traders and government shutdown. The shutdown is predicted to last awhile and the main reason to buy was the ETF getting approved. But a great buy sub <$100 anyway, because it will get approved in due time (~95% chance). TSM - Holy crap. This would be a $3T company if this were a US company, insane profit margins, insane growth rate for their size. And every post you see about OpenAi X (**sydney sweeney partnership) or AMD buildout/NVDA buildout. TSM is the center of it all and would easily be a $2T+ company (from here at ~$1.5T), even if buying at ATHs. BTC - $112K good entry point. Goldt keeps hitting ATH, nothing really changed fundamentally, just lot of liquidations recently (+ same as tax harvest stocks last time) AMZN - I really don't know how it's still down YTD. I don't think Amazon needs much explaining but still growing (eg. AWS backlog massive, still going like 24% but not as much as ORCL, GCP and others obviously), but with EOY seasonality and runup to Feb, now is probably the best chance to catch the bottom. AMZN hitting $213-215 today was a good chance to stock up since it usually floats between $218-$227 if you're short term swing trading but long term I'd expect it to catchup to other mag7. SMCI - Underrated. Markets were looking short term performance, and Charles was quoting like 55%+ Y/Y forward revenue growth which nobody believed + backlog that didnt get realized yet. But now with all the data center buildouts, now it's kinda making sense. So should re-rate in the next two earnings. _ Buy AMD - So many deals from OpenAI x AMD, oracle building out with AMD, this is going to re-rate to a potential $1T+ company if it's actually a strong competitive to $NVDA. I don't think it's winner takes all and you can see a $4.5T+ market cap size with NVDA and some $350B marketcap size with AMD, so we can see a large ramp up (OpenAI is usually the leader in frontier models and if Sam says they can use AMD chips + elon said its' good for small-medium weight models, prboably means something positive) FLNC - Strong re-rate on energy after AI consumption, great buy. SEI - Strong re-rate on energy after AI consumption, great buy. BZAI - Someone else did a DD on this company, just cause of sector and shift to edge compute (eg. Robotics goign to be hot). Because of low MC and runup of similar companies could turn out well. NKLR - Nuclear stocks like $OKLO have been taking off, this is just follow the lader. IREN - Needs no introduction, huge GW compute capacity just no announced mag7 deals yet but could come anytime -> strong re-rate. Only reason not a strong buy is because not fully convinced miners can pivot like CRWV and maintain great margins (eg. $ORCL hit piece) but we'll see. WULF - GOOGL backlog, another $3.6+ or so in funding helps a lot. CIFR - Lot of info on X about future capacity and strong re-rating. Always liked this company because it was NBIS-lite. You can probably buy any Neocloud and it will go up because the sector is incredibly high potential with Mag7 funneling revenue. CRWV - Didn't like this as much as others because of debt but because of the seed oil correction much better buy point at $134 (below when META deal was announced) BITF - Same in Neocloud category WYFI - Same in Neocloud category BITF - Same in Neocloud category GLXY - Same in Neocloud category, helps with their buildout RBRK - Did a DD on this, great buy for cybersecurity sector in mid term, they just need to scale back marketing and then it looks like they have a lot more FCF because they're spending most OPEX on marketing. GRAB - Great fundamentally, -6.56% correction good to buy again SEA - AMZN in SEA, tons of people use them. Just a buy just because of costumer base + monetization potenetial. Fundamentally growing $5B+ rev 38% Y/Y is also great. META - I really don't like all their expensive capex on AI since they're not really putting out fronteir models like ChatGPT with it, who knows what Zuck is doing. But that aside, down 7.3% over the month, going to $700 support, probably a good buy around here to play catchup. TGT - Dividend next month good catalyst. SNAP - The Jenners are coming back (helps with popularity), they're shifting former memory opex to revenue, and this will probably cause a HUGE rerating next year. Just suffers from tax harvesting otherwise would be a strong buy rn. Usually tax harvesting events are kinda done in December. MU - Now that China fears are kinda less intense, MU is a lot stronger buy just cause of memory use on buildout. RKLB - Neutron, golden dome contracts, lot of cataylsts FLY - Medium lift UNH - Healthcare stock not affected by soybeans but had a correction. Would likely go up one instituions post their ports (eg. warren likely bought more) Random thoughts Basically any growth/risk stock that's not named Oklo is great because we have -> Rate Cut end of month October -> Government re-opening sometime (likely around end of Oct or early Nov) Into -> Rate Cut December. -> Midterms (Bullish for stocks) Usually market crashes happen when there's tightening not easing. And your stupid quantum bubbles would likely continue for another 3-12 months afterward. If you're short, then probably wait till next Feb. Anyway, this is a great time for risk-on, and specially riding trends with neoclouds -> affiliated sectors (eg. energy) -> affiliated companies (eg. smci, tsm, etc). I half joke-about soybeans because it likely signed escalating tensions, but I'd probably see a run-up into next year. Also I could write up a lot about each one but it's pretty time consuming but I'll put on a thesis post about random ones eg. $RBRK, from time to time. Space/robotics/energy/quantum/ai/semi/critical top verticals right now, don't fight against momentum. I can think something is overvalued (eg. some critical materials bc. it's still spectulative compared to neoclouds that kinda have guaranteed rev based on execution from mag7) but I wouldn't short it into rate cuts. Just personal thoughts, NFA
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分析$RBRK基本面与估值，认为其是网络安全板块好买点，但非最佳机会。
所以人们几乎每隔一条帖子就问起 $RBRK，我知道它在 X 上很火。 为了让大家别再问（我也在 $82 买入了一些 Rubrik），我最终去研究了一下它。 我的研究 TLDR（太长不看版）： - 网络安全公司（该行业估值倍数极高，参考 $CRWD 或 $NET） - 80% 的毛利率（很棒） - ARR（年度经常性收入）超 10 亿美元，同比增长 40-50%（很棒） （对比 NET，ARR 约 22 亿+，同比增长 22%，市值几乎是其 5 倍） - 运营支出 (OpEx)：60-75% 的收入用于营销。这是一个巨大的积极信号。 运营营销支出虽好，但短期看起来很难看，例如 $HOOD 给客户 3% 转账奖励时，这会伤害短期财报，因为具有误导性且没多少人做拆解；但长期来看，当削减支出时，客户粘性高，这对盈利能力帮助很大。 自由现金流 (FCF) 为正，但运营支出分解主要是营销，这是好事，不同于 Snapchat 的谷歌云运营支出。 - 客户基础多元化，像 Cloudflare（如高盛、百事、埃森哲等）。 缺点： - 资产负债表不是最好，约 11 亿美元债务用于资助收购。至少是为了收购。 - 不喜欢其远期收入数字放缓了 20-25%，相比之下 $NBIS 明年增长 700% 或更多。显然不公平比较，但这就是为什么我更看好 Neoclouds（新云基础设施）。 _ 看起来是一个不错的中期持有标的，计划很简单 -> 扩大客户群 -> 缩减营销 + 高粘性客户群 -> 赶上网络安全行业估值倍数并拥有更高的 FCF。 通常这类高毛利率（如 $HOOD 在 $18 时，增长 ~50% y/y）且实现盈利的成长型公司，重估 (re-rate) 幅度最大。 $RBRK 只需在未来减少营销支出，突然就会因为其粘性客户群拥有大量 FCF。 TLDR：网络安全板块的好买点，但其他地方有更好的机会。
英文原文
So people keep asking me about $RBRK almost every other post and I know it's really popular on X. I ended up looking into it so people stop asking (and added some Rubrik to my portfolio at $82). TLDR my own research: - Cybersecurity company (industry trades at extremely high multiples, look at $CRWD or $NET) - 80% gross margins (great) - $1B+ ARR, grew 40-50% Y/Y (great) (comparison to NET, ~2.2B+ ARR, growing 22% Y/Y, almost 5x the MC) - OpEx spend: 60-75% of revenue goes to marketing. This is a huge positive. OpEx marketing spend is great but it looks really bad short term eg. $HOOD when they give customers 3% to transfer, it hurts short term in earnings reports bc it's deceptive and not many people do the breakdown but long term when they cut back on spend, customers are sticky and this helps a lot with profitability. FCF was positive, but breakdown of opex expenses was mainly marketing, which is a good thing, unlike Snapchat google cloud opex. - Diversified client base like Cloudflare (eg. goldman, pepsi, accenture, etc). Downsides: - Balance sheet not the best, $1.1B debt or so to fund acquisitions. At least it's about acquisitions. - Don't like how their forward revenue numbers slowed down 20-25% compared to something like $NBIS growing like 700% or something more for next year. Obviously unfair comparison, but that's why I liked Neoclouds more. _ Looks like a good mid term hold with a pretty simple plan -> scale customer base -> scale back marketing + sticky base -> catch up to industry multiples in cybersecurity and hv higher FCF. Usually these types of growth companies with high gross margins (eg. $HOOD back at $18, growing ~50 y/y) that turn profitable, re-rate the hardest. $RBRK just gotta spend less on marketing down the road and suddenly they have a lot of fcf with their sticky customer base. TLDR: Great buy for cybersecurity sector, better opportunities elsewhere.
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基于周五大跌，列出AI/加密/太空股买卖清单，看好Neocloud及算力基建。
基于周五收盘（SPY跌3.6%）的思考与解释 强烈买入 $IBIT $LTC $WLAC $NBIS $MP $TSM （针对明年） $ETOR $DKNG $SNAP 买入 $UPWK $CRDO $ALAB $AMZN $META $UNH $SG $TGT $BULL $FLY $CIFR $WULF $IREN $GLXY $SMCI $DELL $MRVL 持有 $RKLB $HOOD $RBRK $MU $HOOD $GRAB $MARA $RIOT $NVO $RR $ELOSE $FLNC $SEI $PLTR 卖出 $CRCL $ETH $BMNR $PL $BKSY 强烈卖出 $RGTI $OKLO $IONQ $QBTS $QUBT _ 解释： IBIT - 跌至10.4万美元，比特币需求来自机构，关税担忧被夸大，并引发了历史上最大的清算事件之一。在我看来，清算后是购买加密货币的最佳时机。Polymarket仍定价年底有55%几率达到13万美元，但无论如何，比特币长期来看总是好的买入标的。 LTC - 单日下跌24%。使用10倍杠杆的人可能在抢先交易ETF并在交易所被清算。这可能是我见过的在98美元以下买入的最佳时机，因为政府停摆结束后ETF可能会获批。 WLAC - 由于与Fluidstack（帮助WULF和CIFR获得GOOGL背书的公司）的合作，以6亿美元估值成为有史以来最好的Neocloud SPAC IPO 1000%机会之一，而这两家公司估值为40-70亿美元。作为背景，他们将在Q4 IPO，所以你可能需要等待约2个月。 NBIS - 我持有信心最强的买入标的，明年任何Neocloud中都有400美元的激进目标价。 MP - 稀土的国家安全风险（+其他从勘探到锂电池的稀有材料股票表现可能会很好）。 TSM - 所有AI基础设施的骨干 _ 强烈买入的税务收割股票池 （可能需要等到明年） ETOR - 在38美元处严重超卖，可能是正在进行的税务收割事件叠加亏损。 DKNG - 本质上是一只成长股。鉴于市值，营收数据惊人，但他们处于年度低点-15%。可能受不受宏观影响的税务收割影响。 SNAP - 如果你读过我的论点，他们130亿美元的市值对应13亿美元的季度营收……我相信在降低运营支出+通过货币化GCP存储增加营收后，他们明年会重新评级。这只是市场何时定价的问题，但这需要1年以上。后投资者没有耐心。再次，可能受至今表现导致的年底税务收割影响。 _ 买入 UPWK - 昨日下跌4.5%，基本面极佳，~8亿同比营收，70%~或80%~的毛利率在增长，2亿回购，22亿市值。可能受罗素指数抛售影响。 CRDO - 数据中心交易，Mag7使用它们。 ALAB - 数据中心交易，Mag7使用它们。 AMZN - 虽然受到100%中国关税的实质性影响，但他们不会失去任何东西，因为成本会转嫁给商户或客户。 META - 可能因中国关税导致广告收入减少（例如，像Temu这样的中国供应商可能不会购买广告位），但仅基于-6%的1个月低点+作为落后于亚马逊的Mag7成员，我更看好它。 UNH - 医疗保健不太受100%中国关税或稀土影响。 SG - 下跌可能由于表现不佳+税务收割，但它几乎是1倍市销率（P/S）哈哈。 TGT - 我会将其列为强烈买入，因为股息催化剂+刚刚触及5年低点，但尚未对中国关税对该股票的影响做足够的研究。 BULL - 以与HOOD相似的速率增长，其基本面对于市值来说并不完全出色，但你会基于零售客户群和未来货币化潜力进行投资。 FLY - 我之前做过DD，但中型有效载荷很可能在2027年与诺斯罗普合作成功，这需要大量的耐心以换取潜在的1000%回报。 CIFR - Neocloud交易，始终看涨。像Meta X CRWV一样，更多细节可能很快公布。 WULF - Neocloud交易看涨。 IREN - Neocloud交易看涨。他们的融资轮次价格如果我记得没错的话是其股价的70%+，这是一个看涨信号（例如NBIS和CIFR在融资轮次后都达到了这一点）。 GLXY - Neocloud交易的一部分。 MRVL - 市场尚未充分定价其像NVDA一样56%的同比增长。 SMCI - 数据中心/星门建设 DELL - 数据中心/星门建设 _ 卖出 CRCL - 我会不断重复这一点，除非Circle能展示其能在利息收入之外货币化USDC，否则COIN优于Circle。因为COIN实际上获得50%的收入分成，再加上其平台上100%的收入。 ETH - 我会不断重复这一点，但我个人不会在3000美元以上买入。所以即使它下跌16%（你可以尝试波段交易，反弹至4000美元+），也始终有继续级联下跌至3000美元以下的风险，我已经数不清历史上发生过多少次了。 BMNR - 基本面与ETH挂钩。 PL - 太空股票已经上涨很多，我认为像RGTI和其他股票一样，基本面并未反映其市值。 BKSY - 太空股票已经上涨很多，我认为像RGTI和其他股票一样，基本面并未反映其市值。 强烈卖出 RGTI - 市值与估值极度脱节 OKLO - 市值与估值极度脱节 IONQ - 市值与估值脱节 QBTS - 市值与估值脱节 QUBT - 市值与估值脱节 显然存在中美贸易战的宏观压力，但这都不是新信息（中国稀土出口管制已为人所知一段时间+美国已经对中国商品征收关税） 我们正走向定价为70%的两次更多降息，以及大幅修正以清洗高估的泡沫并清算杠杆（例如加密货币），这将帮助市场走向更高的高点。我将始终推荐股票，因为对于好公司，如果你等待足够长的时间，它们可能会跑赢（但如果出现随机的宏观风险，短期可能会跑输）。 中期来看，我对Neoclouds在未来一年AI快速建设期间最为看好 -> 机器人/太空可能是之后的下一个前沿。 （该推文引用了 @aleabitoreddit 的推文，引用内容仅供理解语境）: Neocloud论点：超大规模资本支出漏斗 为什么我要投入150万美元+到Neoclouds，以及为什么这可能是200-300%+的回报。 🔹 类别 Mag7合同：$CRWV, $NBIS ✅, $WULF, $CIFR ✅ 带算力：$IREN ✅, $BITF 投机性：$WYFI, $GRRR ✅, $SLNH 转向HPC的矿工：$RIOT, $MARA, $CLSK, $HUT 论点： Mag7的AI算力紧张，这是由$NVDA设计导致的。 原本流向AWS、MSFT Azure、Google Cloud用于传统算力的数万亿美元资本支出，现在当他们无法处理来自Anthropic、OpenAI、Gemini等的新AI负载时，将流入Neoclouds。 这是一个十年一遇的机会，类似于使$NVDA成为4万亿美元公司的GPU军备竞赛，关于谁将为未来5-10年的AWS/Azure等提供基础设施。 NBIS（来自MSFT的170亿）、CIFR / WULF（来自GOOGL的30亿）、CRWV（由NVDA背书）都在以百分之几百的速度扩张（NBIS从1.5亿季度营收到可能的15亿+），毛利率为60-80%。 这种营收增长在历史上几乎闻所未闻。这主要是因为最富有的超大规模公司将资本支出注入小公司。 NVDA / TSM (2022->): 超大规模公司的GPU CRDO / ALAB (2024 ->): 超大规模公司获胜 -> 抛物线增长。 NBIS/CIFR/IREN等 (2025 - ) AWS/Azure等 -> 来自AI算力的抛物线增长 这就是如何获得百分之几百的回报，而不是在Paypal上进行价值投资。动量驾驭下一代公司。 所以看空论点通常涉及 - 执行风险（以前更投机，现在像NBIS这样的公司有40亿+来执行） 人们总是担心执行，但微软或谷歌不会在没有自己尽职调查的情况下签署如此大的5-10年合同。 - 高利率（主要看你CRWV），这就是为什么NBIS、CIFR和其他公司有潜在的惊人回报。 你有40亿+的资金用于$NBIS在138美元+每股（当它是107美元时）。以及$CIFR在16美元+每股的资金当它是11美元时。高于当前价格的融资是一个看涨信号。 - GPU折旧（有效的担忧，但它几乎像石油，即使是旧型号也保持价值并仍然提供权益）。 - 估值（我认为我们才刚刚开始。如果NBIS明年扩展到60亿营收75%毛利率），260亿市值非常小。 - NVDA可能推出自己的GPU即服务并直接竞争。目前这些Neoclouds是NVDA防止对Azure/AWS等集中风险的答案。 - 自定义超大规模芯片如TPU、Trainium。但可能还需要几年，因为他们仍在乞求NVDA算力并签署了5-10年合同。 无论如何，像Nebius这样的Neoclouds相对于远期营收/毛利率确实被低估了。 我们仍然非常早期。确保像特朗普选举时的Crypto/TSLA或OpenAI发布时的NVDA一样驾驭Neocloud浪潮。 当然这是高度投机的，我不会建议全仓YOLO，但为Google/MSFT等AI工作负载提供动力的这些5-200亿Neoclouds的风险回报是值得的。（交易时间范围：8个月-1年。） 这是2025-2026年最好的非对称AI基础设施交易。
英文原文
Based Friday Market Close (-3.6% SPY day), Thoughts and Explanations Strong Buy $IBIT $LTC $WLAC $NBIS $MP $TSM (For Next Year) $ETOR $DKNG $SNAP Buy $UPWK $CRDO $ALAB $AMZN $META $UNH $SG $TGT $BULL $FLY $CIFR $WULF $IREN $GLXY $SMCI $DELL $MRVL Hold $RKLB $HOOD $RBRK $MU $HOOD $GRAB $MARA $RIOT $NVO $RR $ELOSE $FLNC $SEI $PLTR Sell $CRCL $ETH $BMNR $PL $BKSY Strong Sell $RGTI $OKLO $IONQ $QBTS $QUBT _ Explanations: IBIT - Dumped to $104k, Bitcoin demand has been institutional, tariff fears overblown, and caused one of the biggest liquidation events in history. IMO post-liquidation is the best time to buy crypto. Polymarket still pricing in 55% chance to $130K EOY, but either way Bitcoin is always a good buy long term. LTC - Down 24% in one day. People on 10X margin were likely frontrunning ETF and got liquidated one exchanges. Probably the best time I've seen to buy sub $98 because ETF will likely get approved when government shutdown stops. WLAC - One of the best Neocloud SPAC IPO 1000% opportunities ever at $600m valuation because of their partnership with Fluidstack (the ones that helps WULF + CIFR get backstopped by GOOGL), and both of those are $4-7B. For context they're IPOing Q4, so you might need to wait ~2 months. NBIS - Strongest conviction buy I've had, $400 aggressive PT for next year out of any Neocloud. MP - National security risk for rare earths (+other rare materials stocks from exploration to Lithium batteries will likely perform well). TSM - Backbone of all AI Infrastructure _ Strong Buy Tax Harvesting Bucket of Stocks (Might need to wait for next year) ETOR - Way too oversold at $38, likely tax harvesting event going on compounding losses. DKNG - Fundamentally a growth stock. Revenue numbers are insane given market cap but they're -15% yearly low. Likely compounded by tax harvesting unaffected by Macro. SNAP - If you read my thesis, they're doing 1.3B quarterly revenue off a 13B marketcap... I'm convinced they will re-rate next year after lowering opex + increasing revenue from monetizing GCP storage. It's just a matter of when the market will price this in, but this is 1Y+ out. Post investors aren't patient. Again likely affected by EOY tax harvesting due to performance so far. _ Buys UPWK - Down 4.5% from yesterday, amazing fundamentals, ~800m y/y rev off 70%~ or 80~ gross margins thats growing, 200m buybacks, 2.2B market cap. Likely affected by Russell selloff. CRDO - Data Center Trade, Mag7 uses them. ALAB - Data Center Trade, Mag7 uses them. AMZN - It's materially affected by 100% Chinese tariffs but they won't lose anything, since it gets passed onto the merchant or customers. META - Probably less ad revenue by Chinese tariffs (eg. Chinese vendors like Temu, might not buy adspace), buy just based on -6% 1m low + Mag7 laggard with Amazon, I like it more. UNH - Healthcare not really impacted 100% Chinese Tariff or rare earths. SG - It's down likely due to bad performance + tax harvesting but it's almost 1 P/S lol. TGT - I'd put it Strong Buy due to dividend catalyst + 5Y low just now, but haven't dont enough research on the effect on Chinese tariffs on the stock yet. BULL - Growing at similar rates asHOOD, their fundamentals aren't exactly great for the market cap but you would invest based on retail customer base and the future potential for monetization. FLY - I did a DD on this earlier but Medium Lift Payload likely to succeed with Northrop in 2027, it takes a TON of patience for a potential 1000% moonshot. CIFR - Neocloud trade, always bullish. Like Meta X CRWV, more details likely to come soon. WULF - Neocloud trade bullish. IREN - Neocloud trade bullish. Their funding round was at some number 70%+ of their stock price if I remember correctly, which is a bullish tell (eg. NBIS and CIFR both hit that after their fundraising round). GLXY - Part of Neocloud trade. MRVL - It's not really priced in that it's growing 56% Y/Y like NVDA. SMCI - Data center/stargate buildout DELL -Data center/stargate buildout _ Sell CRCL - I will keep repeating this but COIN is better than Circle unless Circle can show they can monetize USDC outside from interest income. Because COIN literally gets 50% revenue sharing and on top of that 100% of the revenue on its platform. ETH - I will keep repeating this but I will not personally buy above $3000. So even if it dips 16% (you can take the chance of a swing trade, back up to $4k+), there's always the chance it keeps cascading down below $3k and I've lost track of how many times this has happened in history. BMNR - Tied with ETH fundamentally. PL - Space stocks have gone up a lot, I think with stuff like RGTI and others, fundamentals haven't mirrored it's marketcap. BKSY - Space stocks have gone up a lot, I think with stuff like RGTI and others, fundamentals haven't mirrored it's marketcap. Strong Sell RGTI - market cap extremely disconnected from valuation OKLO - market cap extremely disconnected from valuation IONQ - market cap disconnected from valuation QBTS - market cap disconnected from valuation -market cap disconnected from valuation There's obviously a macro overhead with China x USA trade wars going on, but none of this was new information (Chinese rare earth export controls have been known for awhile + US has already been tarrifing Chinese goods) We're heading into 2x more rate cuts priced in at 70% and large corrections to cleanse the overvalued froth and liquidate margins (eg. Crypto), will help the market go to higher highs. I will always recommend shares because with good companies, if you wait long enough they will likely outperform (but short term underperform if there's random macro risk). Mid term I'm the most bullish on Neoclouds for the next year during the rapid AI buildout -> Robotics/Space likely next frontier after that.
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分享受关税影响较小的个股建仓及宏观恐慌下的逢低买入机会。
关于持仓变动： 新建 $DKNG 仓位 - $32.7（看起来估值不错，下跌7%） 买入 $UNH - $356（下跌3%） 买入 $AMZN - $217.8（下跌4%） 感觉这些股票受关税影响最小，尤其是 Draftkings 哈哈。 另外，由于宏观担忧因特朗普的一条推文突然浮现，$SPY 下跌1.65%提供了绝佳的逢低买入机会。 举几个例子： $AMZN - 下跌3.7% $AMD - 下跌8.27% $HIMS - 下跌8% $SNAP - 下跌5.1% $META - 下跌3.07% $WLAC, $NBIS 始终适合定投(DCA)。
英文原文
In terms of position changes: Started new $DKNG position - $32.7 (seems pretty good value, 7% drop) Bought $UNH - $356 (3% drop) Bought $AMZN - $217.8 (4% drop) Just felt these were the least unaffected by tariffs, especially Draftkings lol.
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宏观恐慌提供买入机会，重点阐述$FLY与诺斯罗普合作开发中型火箭的高赔率逻辑。
此外，由于特朗普的一条推文导致宏观恐慌突然重现，$SPY 下跌 1.65% 是一个绝佳的逢低买入机会。 举几个例子： $AMZN - 下跌 3.7% $AMD - 下跌 8.27% $HIMS - 下跌 8% $SNAP - 下跌 5.1% $META - 下跌 3.07% $WLAC 和 $NBIS 始终适合定投(DCA)。 （引用内容）： 自从我在 Reddit 发帖后，很多人询问我的 $FLY 投资逻辑，如下： Firefly 是一家像 $RKLB 这样的火箭公司，正在开发可重复使用的中型运载火箭。 目前唯一存在的只有 SpaceX。 他们目标在 2026-2027 年实现，如果成功，公司市值将重估至 300-700 亿美元，即从当前（44 亿市值）上涨 1000-2000%。 更多细节： 300-700 亿市值的估算基于 $RKLB 的倍数，且仅假设中型运载火箭业务成功。（我忽略了其他业务板块和当前超过 10 亿美元的收入积压订单）。 在中型运载火箭业务上：预计年收入约 9-13 亿美元，在可行的发射节奏（8-12 次）下毛利率为 30-40%。猎鹰系列(Falcon-class)的定价支持这一预期。 所以现在唯一的问题是，FLY 能成功吗？ 在 Firefly 公司最近一次发射失败后，股价下跌 50%，市场已经计入了未来失败的特征。空头指出 Alpha 火箭的失败代表了执行风险。然而，他们完全错误地定价了这种风险…… 他们应该问的问题是，诺斯罗普(Northrop)和 Firefly 能否共同成功？ 这是美国最大的航空航天国防承包商之一诺斯罗普与一家市值仅 40 亿美元的小型发射公司之间的联合开发(CO-DEVELOPMENT)。 诺斯罗普此前确实有自己的中型运载火箭，但不得不终止。诺斯罗普之前的发射器 Antares 230 在俄罗斯 2022 年入侵乌克兰之前是有效的，随后供应链被切断。 然而，诺斯罗普面临生存问题：它无法再制造自己的第一级火箭。因此，为了节省时间，他们寻找一家拥有现成推进系统和结构的美国合作伙伴：Firefly。 -> 动机：Firefly 的 Miranda 发动机提供了即插即用的替代方案，可立即构建中型运载火箭。 现在你拥有一枚将在 2026-2027 年由 Firefly 货币化的中型运载火箭（因为诺斯罗普持有该公司股份），只需使其可重复使用，这是最难的部分。 但诺斯罗普不仅仅是“帮忙”。它在各个方面结构性地降低了风险。诺斯罗普的系统加上 Firefly 的新太空发动机，占据了稀缺且高需求的护城河（美国可重复使用中型运载），已通过 TacRS 和超过 10 亿美元的积压订单以及美国“金穹顶”防御系统催化剂得到验证。 因此，如果 Firefly 在中型运载火箭上成功并建立巨大护城河成为下一个 SpaceX，购买 Firefly 的风险回报是不错的。 （我的投资组合中也有 $RKLB，我只是认为由于中型运载火箭已与诺斯罗普存在，成功实现可重复使用中型运载的机会高于正常水平）。 显然，Rocketlab 实现可重复使用中型运载的成功概率更高，但这已反映在其 320 亿美元以上的市值中，而 Fly 的市值仅为 44 亿。 我认为 $FLY 在当前估值下是一个有趣的 10 倍潜力股，前提是它能在未来一两年内成功。而且我只是真的很喜欢火箭。 我还让 Grok 计算了概率，因为 XAI 由火箭人(Rocketman)本人拥有。 输出： 到 2027 年底，Rocket Lab 有 90%+ 的机会实现可重复使用中型运载飞行（可能在 2026 年中），得益于其先发优势、经过验证的执行力和内部控制。 Firefly/诺斯罗普达到 75-80% 的概率，得益于诺斯罗普的遗产，但受限于 Firefly 较新的运营记录。额外的一年缩小了差距——如果 Antares 330 按时飞行且 Miranda 发动机规模化，Firefly 可能在 2027 年底匹配或超过 Neutron 的节奏。 如果两者都成功（这是一个巨大的假设），RKLB 的市值可能重估至 600 亿美元，$FLY 可能重估至 400 亿美元，仅仅是因为太空 TAM 因国家安全风险和企业部门建设而迅速增加，可能只需再等一年。
英文原文
Also since macro fears randomly appeared today with a Trump tweet, it’s an amazing dip buy opportunity on $SPY 1.65% drop. Just some examples: $AMZN - down 3.7% $AMD - down 8.27% $HIMS - down 8% $SNAP - down 5.1% $META - down 3.07% $WLAC, $NBIS always good to DCA.
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博主调整ETF持仓：大幅加仓AMD及新购多只AI/能源股，减仓部分股票以进行税务亏损收割。
哇，我在这个ETF上操作得极其激进，一切都涨得**很多。 不管怎样，以下是一些我会做的公司调整及解释： $AMD - +10%（重新评级） $FLY - +3%（新增） $WLAC - +1%（新增） $MU - +1%（新增） $FLNC - .5%（新增） $SEI - .5%（新增） $DFLI - - .25%（新增） _ 减仓（进行税务亏损收割 Tax harvesting） $ORCL $LULU $META $UPWK $ETOR $SNAP 其他小盘股 _ 以下是解释 $AMD - 刚刚获得了1000多亿美元的前瞻性收入，他们的季度收入几乎一夜之间翻倍，而且市场甚至还没有定价。极强的买入信号 $FLY - 44亿美元估值，从事类似$RKLB的小型至中型发射任务。让我想起RocketLab刚起步的时候，风险回报比很好。 $WLAC - Neocloud IPO，估值6亿美元（很低），EBITDA毛利率75%+，营收同比增长250%，很可能由Mag7（七大科技巨头）提供保底支持 $MU - 鉴于Stargate + OpenAI所需的基础设施量，内存需求旺盛 $FLNC + $SEI - 能源板块（高风险高回报） $DLFI - 电池板块（高风险高回报） 减仓 $ORCL - 在GPU建设方面遇到困难，这正好显示了超大规模云服务商和像$NBIS这样的Neocloud之间的护城河。直接购买Neocloud有更高的上行空间。 $LULU, $META, $UPWK, $ETOR, $SNAP. - 涨幅不大，我们要尽可能激进地持有赢家，并在完成税务亏损收割后回购，例如换成$AMD，以及获得更高回报的三次降息收益。 将在年底完成税务亏损收割后回购。
英文原文
Wow I cooked insanely hard with this ETF, everything is up a **** ton. Anyway, some company changes I'd make + explanations: $AMD - +10% (rerate) $FLY - +3% (new) $WLAC - +1% (new) $MU - +1% (new) $FLNC - .5% (new) $SEI - .5% (new) $DFLI - - .25% (new) _ Trim (Tax harvesting) $ORCL $LULU $META $UPWK $ETOR $SNAP Misc small caps _ Here's an explanation $AMD - Just got $100B+ in forward revenue lol, they almost doubled their quarterly revenue overnight and hasn't even been priced in yet. Extremely strong buy $FLY - $4.4B valuation doing small-medium lift launches like $RKLB. Reminds me of RocketLab when they first started, risk-reward is good. $WLAC - Neocloud IPO at $600m valuation (low) for something doing 75%+ EBITDA gross margin + 250% rev from last year + likely backstopped by Mag7 $MU - Memory in demand given the amount of infra required by Stargate + OpenAI $FLNC + $SEI - Energy Play (high risk high reward) $DLFI - Battery Play (high risk high reward) Trim $ORCL - Having trouble with GPU buildout, just goes to show the moat between hyperscalers and Neoclouds like $NBIS. Higher upside just buying Neoclouds. $LULU, $META, $UPWK, $ETOR, $SNAP. - Hasn't gone up much, we're playing as aggressive as possible with winners and will buy back once tax harvesting is done, eg. swap for $AMD, and higher return triple rate cut returns. Will buy back near EOY once tax harvesting is done.
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博主分享了一份包含多只股票权重的投资组合分散化示例。
@DigestingX 我在这里写了一个投资组合分散化的例子：https://t.co/R7eMeeqR29 （引用内容：我收到了很多关于股票权重的提问。我会构建的投资组合是：30% $NBIS，6% AMZN，5.5% TSM，5% BTC，5% LULU，4% UNH，4% $RKLB，4% LTC，3% ORCL，3% TGT，3% GRAB，2% $IREN，2% META，2% HOOD，2% HIMS，2% AMD，2% NVO，1.5% CRDO，1% BITF，1% ASTS，1% SG，1% UPWK，1% MP，1% FOUR，1% ETOR，1% INTC，1% COIN，1% SMCI，1% MRVL，1% DAVE，0.5% DLO，0.5% MELI，0.5% SNAP，0.5% CRWV，0.2% ONDS，0.2% NFE，0.2% TSSI，0.2% BKKT，0.2% GRRR）
英文原文
@DigestingX I wrote an example of portfolio diversification here https://t.co/R7eMeeqR29
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分析NBIS、AMZN、SNAP等个股机会，看好AI基建及降息预期。
10月6日周一收盘思考： - $NBIS 是极好的逢低买入机会。早盘上涨5.78%后回落2.38%。从 $IREN 到 $CIFR 的所有其他新云(Neoclouds)公司都守住了4%-14%+的涨幅。Nebius可能受期权资金流影响，预计很快会补涨，我维持 $225 的目标价(PT)。 - $AMZN, $META 是两只在未来2-3个月应跑赢大盘并补涨的七巨头(Mag7)成员。尤其是亚马逊。 - $SNAP, $RDDT 是两个不错的反弹标的。Snapchat尤其因为收入变现模式的改变。如果你有耐心持有股票一两年，我预期会有50%+的回报，只是取决于市场何时将其定价。并非每个人都有耐心，且将资金用于 $SNAP 而非新云(Neoclouds)的机会成本可能不划算。 关于Reddit，我一直认为ChatGPT引用是其暴跌29%的借口，所以我已买入。 - $SPRB 吸引了所有人的注意。我预计它将从7500万美元市值继续上涨至1.5亿-2亿美元，但这就像玩俄罗斯轮盘赌，通常在重大事件后2-3天就会发生稀释。 - 像 $RKLB 这样的股票，只需持有哈哈。即使它是我最高信用的5年期长线标的，也确实高估了，但此时它可能会像 $PLTR 一样表现。 - $AMD 与 OpenAI 的交易对半导体行业极度利好。我预计 $TSM, $ASML, 能源股和新云(Neoclouds)将从AI基础设施建设中受益。主要的负面因素是 $CRWV，因为其对 $NVDA 的依赖，以及显然的NVDA本身，但新云(Neoclouds)并未锁定单一玩家，且已锁定5-10年以上的合同。 这仅对 $NVDA 的护城河理念造成微小影响，但尚无实质性影响。 我个人认为AMD可能会像 $ORCL 一样在反弹后回调，然后当市场开始计入远期收入时，像 $AVGO 一样表现。 话说回来，我不知道OpenAI从哪弄来这么多钱，承诺给Oracle、AMD等这些十亿或百亿美元的交易，如果它们估值只有5000亿的话哈哈。 - 黄金每天创历史新高，仅仅表明 $BTC 始终是好的买入标的，即使在 $123k，如果它最终成为对抗通胀的对冲工具。其市值约为黄金的1/10。 - $LTC 仍然是很好的买入标的，因为ETF获批。由于政府停摆，人们只是忘记了它尚未发生，但最终应该会获批。 - $VIRT 在 $32.5 是极好的买入，我会在这个区间进行成本平均（抱歉如果你在 $36 买了看涨期权，我的仓位下跌了约35%）。但再次强调，这是对VIX的非对称对冲（VIX隐含波动率很高用于对冲，VIRT被低估~6.3倍远期市盈率，有回购和低隐含波动率），所以即使仓位下跌，你的其他股票应该会上涨以平衡。 - 仍在研究其他受益于基础设施建设的能源股、小盘股如 $EOSE、存储如 $MU 等，这些是粉丝推荐的。我尽量不在自己充分了解前谈论太多。 - 如果你使用杠杆或做多，现在是时候了，直到一月。三次降息，市场可能正在提前交易十月的降息。
英文原文
Monday October 6th Market Close Thoughts: - $NBIS extremely good dip buy. Down 2.38% after rising 5.78% in the morning. All other Neoclouds from $IREN to $CIFR held their 4%-14%+ gains. Nebius likely influenced by option flow, should play catchup soon and I stand by $225 PT. - $AMZN, $META two Mag7 that should outperform next 2-3 months and play catchup with the rest. Especially Amazon. - $SNAP, $RDDT two good recovery plays. Snapchat especially because of the revenue monetization changes. If you have the patience for shares for a year or two, I'd expect a 50%+ return, just whenever the market wants to price it in. Not everyone has patience and opportunity cost using the funds in $SNAP instead of Neoclouds might not be worth. Reddit I've maintained that the citations from ChatGPT is a BS reason for a 29% sell-off so I bought into it. - $SPRB caught everyone's attention. I do expect it to keep rising to a $150-$200m marketcap from $75m but it's like playing Russian Roulette, usually dilution happens 2-3 days after a major event. - Stuff like $RKLB, just need to hold lol. It's genuinely overvalued even if it's highest conviction 5Y long but at this point it might pull a $PLTR. - $AMD x OpenAI deal heavily bullish for semi industry. I expected $TSM, $ASML, energy stocks and Neoclouds to get a boost from AI infra buildout. Main negative ones were $CRWV, because of $NVDA dependencies and obviously NVDA, but Neoclouds aren't locked into one player, and they already have 5-10+ year contracts locked in. It just puts a tiny dent in the $NVDA moat idea but nothing material yet. I personally think AMD might pull an $ORCL where it dips past rally, and then ends up pulling an $AVGO when markets start pricing in forward revenue. Then again, I don't know where OpenAI is getting all this money to promise Oracle, AMD, etc. all these ten or hundred billion dollar deals if they're valued at 500B lol. - Gold rallying to ATH every day just signals that $BTC is always a good buy, even at $123k, if it ends up becoming a hedge against inflation. It's close to 1/10th the market-cap. - $LTC still a great buy because of ETF approval. There's the government shutdown so people just forgot it hasn't happened yet, but should get approved eventually. - $VIRT great buy at $32.5, I'd cost average around this range (sorry if you bought calls at $36, my positions are down 35% or so). But again it's an asymmetrical hedge to VIX (VIX IV very high for hedging, VIRT is undervalued ~6.3 forward p/e with buybacks an low IV), so even if positions are down, your other stocks should go up to balance it out. - Still looking into other beneficiaries of buildouts from energy stocks, small caps like $EOSE, memory like $MU, etc. that followers recommended. I try not to talk about something much until I'm informed myself. - If you're on leverage or going long, now is the time to do it until January. 3x rate cut, market probably frontrunning Oct rate cut now.
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Snapchat通过存储变现降本增效，预计FCF大增，估值有望重估。
Snapchat 投资论点：一只被看空的股票如何重估为买入。 $SNAP 完成了关键转折，将其最大支出项转变为收入来源。 与 $META、$RDDT 相比，SNAP 要实现增长需要做两件事。 而……Snapchat 终于做到了其中一件。 那就是： 1. 变现“回忆”（存储）——潜在 50%+ 的上涨空间。 2. 通过公开 Web 应用 + TikTok 式信息流与 TikTok 竞争（1000%+ 上涨空间） Snapchat 终于通过第 1 点完成了转折，将其最大的运营支出 (OPEX) 变成了收入来源：他们实现了存储变现并删除了浪费的存储。 Snap 每季度收入 13.5 亿美元，且以健康速度增长，拥有 10 亿+ 月活跃用户 (MAU)。尽管收入数字庞大，但他们并未盈利。为什么？ 因为像我这样无数人存储了 10 年前拍摄的 GB 级视频。Snapchat 一直在免费支付 Google Cloud 来存储所有这些内容。Google Cloud 的成本每个季度都严重侵蚀其净利润。 因此，随着这一最新变化——向用户收费（类似 iCloud）以获取存储，这是一个巨大的新收入来源， 同时在大幅降低运营支出 (OpEx) 的基础上，Snapchat 刚刚获得了重估。 _云成本细分_ Snap 的云基础设施是其最大成本之一，历史上每年超过 24 亿美元（收入成本）。 其中大部分是“回忆”和视频等功能的存储 + 带宽。 回忆 + 视频档案 ≈ 云支出的 35-40%（估算） ~90% 的用户在 5GB 限额以下（无成本变化），但 10% 的重度用户持有大部分存储数据 _如果 Snap 删除 ~50% 的现有存储数据（非付费用户的旧视频/照片）_ 结果： 24 亿美元的 40% = 9.6 亿美元与回忆相关的云成本基线 重度用户存储减少 50% ~ 4.8 亿美元节省（激进估算） 考虑到数据迁移、部分重新分配、杂项： -> Snap 可能 realistically 实现其中的 ~40%，即每年节省 ~1.8-2 亿美元运营支出 (OPEX) 这直接转化为营业利润 + 自由现金流 (FCF)，因为这是纯粹的成本削减。 _付费存储收入（小用户群场景）_ 假设只有少量用户付费——远低于 iCloud 的 60% 采用率： MAU：~9 亿，付费用户：2%（~1800 万） 平均计划：2.49 美元/月（大多数在 1.99 或 3.99 美元层级） 每用户平均收入 (ARPU)：~30 美元/年 收入 = 1800 万 × 30 美元 = 每年 5.4 亿美元 减去 ~1 亿美元托管费 -> 4.4 亿美元净收入 这笔收入是经常性、高毛利的，并直接增加 FCF。 _预计年度综合影响：_ 运营支出节省（云）= +1.9 亿美元 付费存储收入 = +5.4 亿美元 存储成本 (COGS) = –1 亿美元 净 FCF 改善 = +6.3 亿美元 _估值重估_ 如果市场基于 ~8.5 亿美元可持续 FCF 对 Snap 进行重估： 应用 35 倍 EV/FCF 倍数（适用于利润率改善的成长型科技公司） EV ≈ 300 亿美元 → 市值 ≈ 310-330 亿美元 激进倍数 FCF 估算 8.5 亿美元 市值 25 倍 × 212.5 亿美元 EV ~ 220-230 亿美元市值（~13-14 美元/股） 30 倍 × 255 亿美元 EV ~ 260 亿美元市值（~15-16 美元/股） 35 倍 × 297.5 亿美元 EV ~ 310-320 亿美元市值（~19-20 美元/股） 从今天的 ~8.50 美元 -> 潜在 +50-100%+ 上涨空间，在 12-18 个月内，假设： - 执行顺利（无重大用户反弹，但我真的不认为用户会离开。）我个人会付费，因为我 5-10 年前用过 Snap，但不希望我的数据被删除。 - 3 次美联储降息压缩贴现率 - 投资者认可远期 FCF 当然，所有这一切都要在 1 年后才会发生。此外，我基于很多假设，例如 2% 的用户会付费（如 Dropbox），而 iCloud 有 60% 的用户。 _只是想给 @fossinvest 打个招呼，这是我做尽职调查 (DD) 时发现的一个小账号。他们也做了计算，但使用了更激进的算法 + 类似的想法，我要感谢他们提供的图片。 我可能在推测数字时出错（例如 1-1.5 亿美元运营支出，1% 的付费用户，但即使这样 FCF 也会得到巨大提升）。 无论如何，这是 SNAP 历史上在收入生成和运营支出削减方面做出的最大实质性改变，理应获得重估。 市场和对冲基金现在开始将其定价，因为他们是前瞻性的，但消化这一消息需要一些时间。
英文原文
The Snapchat Thesis: How a 🐶💩 Stock Re-Rated from Sell to Buy. $SNAP flipped the switch, making their biggest expense a revenue stream. There's two things that SNAP needed to do to grow vs. $META, $RDDT. and... Snapchat finally did it, well one of two. That is: 1. Monetize Memories (Storage) - potential 50%%+ upside. 2. Compete vs Tiktok with a public web app + Tiktok-style feed (1000%+ upside) Snapchat finally flipped the switch with #1 and made their biggest OPEX expense a revenue stream: They monetized storage and deleted wasteful storage. _ Snap brings in $1.35B revenue a quarter and is growing at healthy rates with 1B+ MAU. Despite large revenue numbers, they're not profitable. Why? Because countless people like myself have stored GBs of videos taken from 10 years ago. Snapchat has been paying Google Cloud to store all of that for free. Google Cloud costs just eats so much into its net profits every quarter. So with this recent change - charging users (like iCloud) for storage, which is a huge new revenue stream, On top of reducing OpEx by a massive margin, Snapchat just got a rerating. _ Cloud Cost Breakdown Snap’s cloud infrastructure is one of its largest costs, historically over $2.4B annually (cost of revenue). Most of that is storage + bandwidth for features like Memories and videos. Memories + video archives ≈ 35-40% of cloud spend (estimates) ~90% of users under the 5GB cap (no cost change), but 10% heavy users hold the majority of stored data _ If Snap deletes ~50% of existing stored data (non-paying users’ old videos/photos) Result: 40% of $2.4B = $960M cloud cost baseline tied to Memories 50% reduction in heavy-user storage ~ $480M savings (aggressive est.) After accounting for data migration, partial reallocation, misc: -> Snap may realistically realize ~40% of that, or ~$180–200M OPEX saved annually This goes straight to operating profit + FCF, since it’s a pure cost cut. _ Revenue from Paid Storage (Small User Base Scenario) Assuming a small number of users pay-far less than iCloud’s 60% adoption: MAU: ~900 million, Paying users: 2% (~18 million) Average plan: $2.49/month (most on $1.99 or $3.99 tiers) ARPU: ~$30/year Revenue = 18M × $30 = $540M per year Subtract ~$100M in hosting -> $440M net This revenue is recurring, high-margin, and adds directly to FCF. _ Estimated Combined Annual Impact: OPEX savings (cloud) = +$190M Paid storage revenue= +$540M Storage costs (COGS) = –$100M Net FCF improvement= +$630M _ Valuation Rerating If the market rerates Snap based on ~$850M sustainable FCF: Apply a 35× EV/FCF multiple (typical for growth tech with improving margins) EV ≈ $30B → Market cap ≈ $31–33B Aggressive Multiple FCF est. $850M _ Market Cap 25 × $21.25B EV ~ $22–23B mc (~$13–14/share) 30 x $25.5B EV ~ $26B mc (~$15–16/share) 35 x $29.75B EV ~ $31–32B mc (~$19–20/share) From ~$8.50 today -> potential +50–100%+ upside within 12–18 months, assuming: - Execution is smooth (no major user backlash, but really don't think users would quit.) Personally I'd just pay for it since I used Snap 5-10 years ago but don't want my data deleted. - 3 Fed rate cuts compress discount rates - Investors credit forward FCF Of course, all of this only happens 1 year from now. Also, I'm going off a lot of assumptions, such as 2% of users will pay (eg. Dropbox), vs. ICloud has 60% of users. _ Just thought I'd give a shoutout to @fossinvest, a small account I found while doing DD. They also did the math but used more aggressive calculations + similar idea, I'll give them credit for the image. _ I could be wrong with speculating the numbers (eg. $100-150M opex, and 1% paying users, but even with this FCF gets a huge boost). Either way, this is the largest material change SNAP has made for both revenue generation and operational expense cuts in history and it deserves a re-rating after. Market and hedge funds will now start to price this in since they're forward looking, but will take some time to digest the news.
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给出NBIS不同价位操作建议，并提及随新闻重估。
@heaty70 对于 $NBIS，低于 $145 是强力买入，$145-$170 区间为买入/持有。很难给出确切数字，但鉴于我在该价位卖出了 CC（看涨期权），$170 以上我会转为持有/卖出。显然，我会根据 $META / $CRWV 等新消息每周重新评估其估值。
英文原文
@heaty70 Anything under $145 for $NBIS is a strong buy, $145-$170 Buy/Hold. Hard to give a figure but I'd switch it to hold/sell at $170+ since I did sell CC's at that strike. Obviously re-rating it weekly on new news like $META / $CRWV.
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分享激进期权卖出策略，强调底部择时与波动率管理，警示高风险。
我写了一个期权卖出波段交易策略，上周用100万美元本金在5天内实现了2万美元利润，年化收益率(Y/Y)超过183%。 我总是提前给出确切头寸，而不是事后诸葛亮。 $NBIS +$5.52K $HIMS +$1.427k $CIFR +$5.239K $RKLB +$3.8K $TGT +$1.3k $AMZN +$1.22K $IBIT +$947.86 $META +$869 对于100万美元的组合，这相当于每周约2%的被动复利，年化回报183%。 所有行权价均归零作废，权利金被全额收取。 即使股票下跌，如$HIMS（今日跌5.32%，本周跌6.5%），你仍有100%的利润。 这是波段交易者能够极好地抄底时采用的策略。 如果本周我再写看跌期权(Put)，我会动态调整行权价，并跳过一些之前写过的股票，比如因价格上涨而跳过的$RKLB。 再次强调，这适用于极其高级的交易者，这不是典型的“写看跌期权赚钱”策略，因为你需要主动进行底部择时（就像我今天在Reddit上发帖尝试寻找$200的局部底部）。不是在随机时间写期权。 如果你不知道如何很好地抄底，写看跌期权会放大亏损。 无论如何，这是许多高级交易者如何通过写期权复利净资产的一个例子。 （引用内容）： 激进地基于100万美元写期权将是： 5天内+$20.24K，每周2.024%，年化回报183.48%。 使用100万美元现金，盈透证券(IBKR)组合保证金示例： 85股 $NBIS $96 PUT (+$5.52K权利金) ($809K保证金占用) 55股 $HIMS $49.5 PUT (+$1.427k) ($270k) 250股 $CIFR $10 PUT (+$5.239K) - ($253k) 80股 RKLB $42 PUT (+3.8K) ($332K) 35股 TGT $85 PUT (+$1.3k) ($296k) 35股 AMZN $207.5 PUT (+$1.22K) ($725K) 50股 IBIT $59 PUT (+$947.86) - ($293k) 5股 META $712.5 PUT (+$869) ($335K) 100万美元现金，331万美元保证金。如果我把现金留到下周，我会这样做。 这是对每只股票进行底部择时，并基于基本面、宏观时机、事件和波动率预测本周不会触及的行权价。 此外，如果你在财报周这样做，回报率可能会高于183%哈哈，这可能是任何事件中利润最高的。但再次强调，超级危险，这是我个人会做的，也许只是当作乐趣阅读并在模拟账户中尝试，不要实盘。 另外，我也是凭记忆估算保证金维持要求（例如，鉴于META、TGT、AMZN等贝塔值较低，你可以使用更多杠杆）。 你必须先择时底部，然后写看跌期权。例如，AMZN不太可能跌破$210，BTC大约在$107k附近见底，RKLB短期内不会低于$43，NBIS有$100支撑，TGT见底，META不太可能一周跌5%+等。 所以希望这对活跃的波段交易者和高级交易者有点启发，如果你是只交易指数的新手，不要尝试这个。 _ 所以只是随机想法 1. 不要在你不愿意在该价位买入的股票上写看跌期权。不要受OKLO或QBTS高权利金的诱惑，因为突然下跌后它们可能几年都无法恢复。你需要已经知道什么是伟大的多头标的。 ^^^^重要*** ^^^^，请不要在随机 penny stocks 或投机性东西上写期权。只写你愿意买入并持有的东西，因为写看跌期权基本上意味着你最终会在那些价位买入它。 2. 在真正的好股票上高隐含波动率(IV)时重复操作，例如，如果HOOD IV达到90%或RKLB IV是90%或NBIS IV是90%，因为一旦行情停滞，IV最终会下降到60%或类似水平。 3. 不要对极高贝塔值的股票过度使用保证金，通常1.3-1.5倍保证金对于像NBIS或RKLB这样的股票更安全。高贝塔值使用2-3倍保证金是危险的。 这就是为什么~1.5倍保证金对于NBIS、CIFR、HIMS、RKLB等是合适的，以防除一只外其他全部下跌。 然后对于低贝塔值股票如META、IBIT、TGT、AMZN，你可以放心使用保证金，因为即使下跌那么多也不会对组合造成太大影响。 4. 学习隐含波动率并知道它为什么变化。如果你只是重复这样做，但在财报周卖出东西，而像TTD这样的股票暴跌40%，你就麻烦了。再次强调，这仅适用于非财报周。 5. 如果你真的想玩得安全，选择一个更低的行权价。比如$CIFR $7.5可能不会触及，但$10行权价有小概率触及。但我本来就想在$10买入+5.2K权利金，所以我选择了那个行权价。 6. 还需要知道任何重大宏观事件+风险水平。所以凭记忆，可能有关于美国政府停摆的负面消息，美国衰退几率增加，Polymarket定价三次降息从65%降至56%等。 另一方面，一些催化剂，比如AMZN在8-9日有Prime Day，所以它可能会表现更好并价格上涨，所以可能更好在之后写期权。所以如果风险太大，我可能会等到10月3日才开始卖看跌期权，而不是本周。 _ 一般来说粗略的经验法则 IV - <30%，不太值得，不像Blackrock、SPY那样波动不大，除非有PPI或其他事件 IV - 30-45%，通常是像MSFT、GOOGL、AMZN这样的科技股。在你用于高贝塔值的1.5倍之上额外使用保证金来做这些是很好的。 45%-65%，通常是30-60%年化增长类型的公司，如MRVL、Coin等。有时它们被严重错误定价，比如COIN/HOOD的IV有时不值得，鉴于它们的波动幅度。 65%-100%，通常是你更有趣的散户股票，如RKLB、NBIS，这是非常好的甜蜜点，因为它们可能会在下跌时反弹，如果你知道如何择时底部+增加几个百分点，很可能获得100%+的权利金收益。 100%+，哈哈危险区（如果你卖出几天到期的期权）。像OPEN、OKLO、财报这样的东西。可能有原因。如果你知道为什么，比如NBIS因MSFT交易上涨40%，我会在当时以200% IV卖出$85看跌期权，因为从根本上说我会在那个价位买入。 如果NBIS等东西在1-2天内IV升至100%+，这对期权卖方实际上是好事。如果是一周后，嗯，可能有什么东西会极度波动。 _ 如果我要分解个别股票 例如AMZN，作为波段交易者，我会在$210水平附近买入看涨期权，不太可能跌破$207.5（所以盈亏平衡点是$207.15，即-5.96%），所以你要确保选择一个它永远不会触及的水平。你也知道IV+贝塔值（波动方式）相对较低，所以你可以基于它不会触及来调整你的保证金。 例如高贝塔值，85股 NBIS $96 PUT (+$5.52K权利金) ($809K) IV是92%，这对期权卖方来说太棒了。你获得更多权利金，而且你不真的期望它跌破$100。IBKR不这样做，所以我推荐像Robinhood这样的东西来看盈亏平衡点，所以这只股票需要下跌11.3%才能盈亏平衡。 _ 再次强调，我只推荐给风险承受能力较高的活跃波段交易者，否则坚持持有超过一年的股票。 这也是为了激进复利的期权卖出， 而不是战略性地用于定投(DCA)头寸（例如，如果我想在$120买入AMZN，并且我认为我可以以更好的位置获得它，你可以在当前行权价写看跌期权，而不是低得多的价格）。 此外，除非有像特朗普关税这样绝对砸盘市场的黑天鹅事件，否则这几乎每周都有效。所以那周的看跌期权卖方被摧毁了，你可能只需要接受微小的损失并重新开始。 当我有闲置现金时我会这样做，因为我更多是突破交易者类型。 这只是我个人的交易风格和思维流程，再次强调非常危险，即使你有一些经验。这是超级高级的，我很多前量化交易员+买方同事都有现金，并在1000万美元以上做这种期权卖出风格，我只是展示它是如何做的以及背后的思维过程。 随意问随机问题，我会帮助解释。
英文原文
I wrote a Option Sell Swing Trade strategy that would realized $20k profit in 5 days with $1M last week for 183%+ Y/Y. I always give exact positions ahead of time, not retroactively. $NBIS +$5.52K $HIMS +$1.427k $CIFR +$5.239K $RKLB +3.8K $TGT +$1.3k $AMZN +$1.22K $IBIT +$947.86 $META +$869 With a $1M portfolio on it would be ~2% week passive compound for 183% Y/Y return. Every strike expired worthless and the premium would be collected. Even when stocks declined such as $HIMS (down 5.32% today), and 6.5% this week, you would still have 100% profit. This is a strategy people do when you're able to bottom time extremely well as a swing trader. If I were to write puts again for this week, I would dynamically change the strikes, and skip out on some stocks that I wrote earlier like $RKLB due to an increase in price. Again this works for extremely advanced traders, this is not your typical "write put, make money" type strategy since you're actively bottom timing (like how I posted with Reddit today, trying to time $200 local bottom). Not just writing options at random times. If you don't know how to bottom time well, writing puts will magnify loss. Regardless, this is an example of how a lot of advanced traders write options to compound net worth.
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卖出CRWV获利，看好IREN/NBIS算力需求，拟重估CRWV长期价值。
我昨天以 $CRWV $122.5 买入，今天以 $138.1 卖出。纯粹是时机运气好。我还没来得及深入分析 META 的合同，但鉴于 META 和其他超大规模云服务商(hyperscalers)目前急需算力，这对 $IREN 和 $NBIS 来说是非常看涨的。虽然我卖出了，但我吃完沙拉后可能会花一两个小时研究一下合同和估值。个人而言，我一直更喜欢其他新云(neoclouds)公司而非 CRWV，主要是因为债务利息问题，但也许 META 的合同会让我重新考虑将其作为长期持有标的，我需要进一步研究。
英文原文
I had $CRWV yesterday $122.5, and sold it $138.1 today. Just got lucky with timing. I didn't have enough time to do a deep dive into the META contract yet, but just because META and other hyperscalers are looking for compute now this is insanely bullish for $IREN $NBIS. I did sell but I'll probably spend an hour or two to look into the contract + valuation after I eat some salad. Personally I've always liked the other neoclouds more than crwv just cause of debt interest, but maybe the meta contracts would make me reconsider this as a long, ill need to look into it more
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警示MSTR杠杆风险，看好AMZN/META波段，回避RIVN/TSLA。
呃，我不会建议粉丝在内容提供商(CSP)上使用2倍杠杆ETF，尤其是$MSTR，它本身波动性已经足够大。如果遭遇波动率衰减导致的强制平仓，情况可能会变得很糟，尽管我确实认为MSTR正在触底。 我同意大多数观点，比如AMZN或META，通常我会在$BULL跌至13美元左右时进行波段交易。 由于基本面原因，我不会碰$RIVN或$TSLA。
英文原文
Uh I would not tell followers about CSPs on 2x leveraged ETFs especially on $MSTR, which is volatile enough. If they get assigned with volatility decay it might get messy, though I do agree MSTR is bottoming. I'd agree on most though like AMZN or META, usually I swing trade $BULL low $13. I wouldn't touch $RIVN or $TSLA cause of fundamentals.
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建议通过虚值期权和组合保证金降低行权风险，追求每周1%的可持续收益。
关键在于，如果 $AMZN 触及 207.5 的溢价位，或 $NBIS 触及 96 的溢价位，你应该求着被行权（assigned），这些也是你可以买入看涨期权（calls）的价位。我的建议是选择更虚值（OTM）的合约并使用组合保证金（portfolio margin），而不是像 $AMZN 215 那样选择更接近行权价的合约，从而降低每周被行权的风险。除了 HIMX、CIFR 和可能的 META，我提到的这几个行权价被触及的可能性较小；如果真触及了，你应持有股票进行波段交易（swing trade）。但正如你指出的，每周约 1% 的收益对大多数人来说更可持续。
英文原文
The thing is if $AMZN ever hits $207.5 - premium or $NBIS ever hits $96 - premium you should beg to get assigned and those are levels you might buy calls on. Going more OTM and using portfolio margin is my suggestion instead of going closer to strike like $215 on $AMZN and having higher risk of assignment every week. My strikes are less likely aside from hims/CIFR/ possibly meta up there are the three I'd say, and if they do hit, you want to hold the stock for a swing trade. But yeah as you pointed out 1% a week or so is a lot more sustainable for most people
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ALAB因覆盖五大科技巨头且高增长，有望复制英伟达路径实现千倍涨幅。
@regard_capital 我在这里写了一点关于 $ALAB 的内容 https://t.co/T28ztuSkgY $ALAB 之所以起飞，是因为 Astera 是唯一一家系统性暴露于五大科技巨头(Mag7)中5家的小盘股。 1. ALAB 的客户群字面意义上就是 Mag7：$GOOGL、$MSFT、$NVDA、$META 和 $AMZN。 2. 他们的增长率惊人，同比增长约 150%+，毛利率为 76%（高于 NVDA，是半导体市场中最高的之一）。 3. 正如 $GOOGL 财报所示，AI 支出的资本支出(Capex)仍在增加。 NVDA 从 1500 亿市值起步 -> 4 万亿+，因为超大规模数据中心需要 GPU。我们正处于 ALAB 在 AI 供应链中产生这种效应的起点，而其市值仅为 200 亿。 如果他们执行得当且 AI 基础设施建设继续，我们可能会看到下一个 1000% 的涨幅。
英文原文
@regard_capital I wrote a tiny bit about $ALAB here https://t.co/T28ztuSkgY
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分享激进卖出高IV看跌期权的策略、保证金管理及风险警示。
激进地卖出期权（Writing Options）$100万组合如下： 5天收益+$20.24K，周回报2.024%，年化回报183.48%。 以$100万现金、IBKR组合保证金为例： 85股 $NBIS $96看跌期权(+$5.52K权利金) ($809K保证金) 55股 $HIMS $49.5看跌期权 (+$1.427K) ($270k) 250股 $CIFR $10看跌期权 (+$5.239K) - ($253k) 80股 RKLB $42看跌期权 (+3.8K) ($332K) 35股 TGT $85看跌期权 (+$1.3k) ($296k) 35股 AMZN $207.5看跌期权 (+$1.22K), ($725K) 50股 IBIT $59看跌期权 (+$947.86) - ($293k) 5股 META $712.5看跌期权 (+$869) ($335K) $100万现金，331万保证金。如果下周持有现金，我会这么做。 这是对每只股票进行底部择时(Bottom Timing)，并基于基本面、宏观时机、事件和波动率预测本周不会触及的行权价。 如果在财报周做，回报可能高于183%，这通常是最有利可图的事件。但再次强调，超级危险，这只是我个人会做的，仅供娱乐阅读或在模拟账户尝试，不要实盘。 此外，我是凭记忆估算保证金维持要求（例如，由于META、TGT、AMZN等贝塔值低，你可以加更多杠杆）。 你必须择时底部然后卖出看跌期权。例如：AMZN不太可能跌破$210，BTC在$107k左右见底，RKLB短期不会低于$43，NBIS有$100支撑，TGT见底，META不太可能一周跌5%+等。 希望这对活跃的波段交易者(Swing Traders)和高级交易者有点启发，如果你是只交易指数的新手，不要尝试。 _ 一些随机想法： 1. 不要在你不愿意在该价位买入的股票上卖出看跌期权。不要因OKLO或QBTS的高权利金而诱惑，因为它们可能在突然下跌后多年无法恢复。你需要先知道什么是优质的多头标的。 ^^^^重要*** ^^^^，请不要在随机仙股或投机标的上卖出期权。只卖你愿意买入并持有的标的，因为卖出看跌期权意味着你最终会在该价位买入。 2. 在高隐含波动率(Implied Volatility, IV)的真正好股票上重复操作，例如如果HOOD IV达到90%或RKLB/NBIS IV是90%，因为一旦行情停滞，IV最终会降至60%左右。 3. 不要对极高贝塔股票过度使用保证金，通常1.3-1.5x保证金对NBIS或RKLB这类股票更安全。高贝塔股2-3x杠杆很危险。 这就是为什么~1.5x保证金对NBIS、CIFR、HIMS、RKLB等是合理的（约1664倍杠杆效应），以防除一只外其他都跌。 然后对META、IBIT、TGT、AMZN等低贝塔股票，你可以放心使用保证金，因为即使大跌也不会严重损害投资组合。 4. 学习隐含波动率并知道它为何变化。如果你只是重复操作但在财报周卖出，而像TTD这样股票暴跌40%，你就麻烦了。这仅适用于非财报周。 5. 如果想更安全，选择低一档的行权价。比如$CIFR $7.5可能不会触及，但$10行权价有小概率触及。但我本来就想在$10买入+5.2K权利金，所以我选了那个行权价。 6. 还需要了解重大宏观事件+风险水平。凭记忆，可能有关于美国政府停摆的负面消息，美国衰退几率增加，Polymarket定价三次降息概率从65%降至56%等。 另一方面，像AMZN在8-9日有Prime Day，价格可能上涨，所以可能更好在之后卖出期权。如果风险太大，我可能会等到10月3日再开始卖出看跌期权。 _ 一般粗略经验法则： IV <30%：不太值得，像Blackrock、SPY除非有PPI等事件否则波动不大。 IV 30-45%：通常是MSFT、GOOGL、AMZN等科技股。除了用于高贝塔股的1.5x外，用额外保证金做这些很好。 45%-65%：通常是MRVL、Coin等30-60%年增长率的公司。有时它们定价错误，如COIN/HOOD的IV有时不值，鉴于它们的波动幅度。 65%-100%：通常是RKLB、NBIS等更有趣的散户股，这是很好的甜蜜点，因为它们可能在回调时反弹，如果你知道如何择时底部+加点缓冲，很可能获得100%+的权利金收益。 100%+：哈哈危险区（如果卖出几天到期的期权）。像OPEN、OKLO、财报。可能有原因。如果你知道原因，比如NBIS因MSFT交易上涨40%，我会在200% IV时卖出$85看跌期权，因为从根本上我会在那个价位买入。 如果NBIS等股票在1-2天到期时IV升至100%+，这对期权卖方其实是好事。如果是一周到期，嗯，可能有什么极度波动的事。 _ 如果我要分解个别案例： 以AMZN为例，作为波段交易者，我会在$210附近买入看涨期权，不太可能跌破$207.5（所以盈亏平衡点是$207.15，即-5.96%），所以你要确保选择一个它永远不会触及的水平。你也知道IV+贝塔（波动方式）相对较低，所以可以根据它不会触及来调整保证金。 对于高贝塔股，例如85股 NBIS $96看跌期权，(+5.52K权利金) ($809K) IV是92%，这对期权卖方太棒了。你获得更多权利金，而且你不认为它会跌破$100。IBKR不提供此功能，所以我推荐Robinhood查看盈亏平衡点，这只股票需要跌11.3%才能盈亏平衡。 _ 再次强调，我只推荐给风险承受能力较高的活跃波段交易者，否则坚持持有超过一年的股票。 这也是为了激进复利期权卖出， 而不是战略性地用于定投(DCA)建仓（例如，如果我想在$120买入AMZN，并认为能以更好价格获得，你可以卖出当前行权价的看跌期权，而不是低得多的行权价）。 此外，这几乎每周都有效，**除非**发生像特朗普关税那样彻底击垮市场的黑天鹅事件。那周的看跌期权卖方会被摧毁，你可能需要接受微小损失并重新开始。 当我有闲置现金时我会这么做，因为我更偏向突破交易者(Breakout Trader)类型。 这只是我个人的交易风格和思维流程，再次强调非常危险，即使你有一些经验。这是超级高级的，我很多前量化交易员+买方同事都有现金，并在$1000万+上做这种期权卖出风格，我只是展示怎么做以及背后的思维过程。 欢迎随意提问，我会帮忙解释。
英文原文
Aggressively writing options off $1m would be: +$20.24K in 5 days, 2.024% a week, 183.48% y/y return. With a $1M cash, IBKR portfolio margin example: 85 $NBIS $96 PUT, (+$5.52K premium) ($809K) 55 $HIMS $49.5 PUT (+$1.427k) ($270k) 250 $CIFR $10 Put (+$5.239K) - ($253k) 80 RKLB $42 PUT (+3.8K) ($332K) 35 TGT $85, (+$1.3k) $296k) 35 AMZN $207.5, (+$1.22K), ($725K) 50 IBIT $59 PUT (+$947.86) - ($293k) 5 META $712.5 PUT (+$869) ($335K) $1M cash, 3.31M margin. This is just something I would do if I kept cash for the next week. This is bottom timing on every stock, and predicting strikes that would not hit for this week based on fundamentals, macro timing, events, and volatility. Also the return would probably be higher than 183% if you did it earnings week lol, which is probably the most profitable out of any event. BUT AGAIN SUPER DANGEROUS, this is something I'd personally do, maybe just read for fun and try on paper accounts but not live. Also, I'm also going off the top of my head with margin maintenance (eg. you can leverage more with META, TGT, AMZN, etc. given they're low beta). You have to time bottoms then write the puts. eg. AMZN not likely hitting sub $210, BTC sort of bottoming $107k around now, RKLB not going below $43 near term, NBIS $100 support, TGT bototming, META not likely to drop 5%+ a week, etc. So hopefully this is a bit informative to active SWING TRADERS and advanced traders, if you're a newcomer with just indexes, do not try this. _ So just random thoughts 1. Do not write puts on stocks you're not comfortable buying at those levels. Don't get tempted by high premiums on OKLO or QBTS cause those could just never recover for years on a sudden drop. You need to know what a great long is already. ^^^^IMPORTANT*** ^^^^, please do not write options on random penny stocks or speculative stuff. Only stuff you're fine buying and holding since writing puts kinda means you would buy it at those levels anyway. 2. REPEAT with high IV on REALLY good stocks, eg. if HOOD IV reaches 90% or RKLB IV is 90% or NBIS IV is 90%, cause eventually IV decreases to 60% or something once things stall out. 3. Do not over-margin extremely high beta stocks, usually 1.3-1.5x margin is safer for stuff like NBIS or RKLB. 2-3x on high beta is dangerous. That's why ~1.5x margin is fine 1,664 on NBIS, CIFR, HIMS, RKLB, etc in case all of them drop aside from one. Then low beta stocks like META, IBIT, TGT, AMZN you;'re fine margining since it wouldn't really dent the portfolio much if it drops that much. 4. LEARN implied volatility and know WHY it changes. If you just do this on repeat but sell stuff on earnings week and something like TTD crashes 40%, you're in trouble. Again this only applies non-earnings week. 5. If you really want to play safe, do one strike lower. Like $CIFR $7.5 will probably not hit, but $10 strike has a small chance. But I'd want to buy it at $10 anyway + the 5.2K prem, so I chose that strike. 6. Also need to know any major macro events + risk levels. So off the top of my mind, there's probably going to be negative news about US GOV shutdown, increased chances of US recession, polymarket pricing down triple rate cut 65% -> 56%, etc. On the other hand, some catalysts like stuff like AMZN has prime day on 8th-9th so it's likely to do better around and increase in price so probably better to write options later. So I might just wait until Oct 3rd, to start selling puts instead of this week if it's too risky. _ Generally rough rule of thumb IV - <30%, not exactly worth it, doesn't really move too much like blackrock, SPY unless there's like PPI or some other event IV - 30-45%, usually tech stocks like MSFT, GOOGL, AMZN, etc. It's good to do these with extra margin on top of your 1.5x that you use for higher beta. 45%-65%, usually more 30-60% y/y growth type companies like MRVL, Coin, etc. Sometimes they're really mispriced like COIN/HOOD IV is not worth sometimes given how much they move. 65%-100%, usually your more fun retail stocks like RKLB, NBIS, it's really good sweet spot since they'll likely bounce on dips and if you know how to time bottoms + add a few percent off, it's likely 100%+ premium gain. 100%+, lol danger zone (if you're selling few days out). stuff like OPEN, OKLO, earnings. Probably a reason for it. It's good if you know WHY like NBIS increasing 40% off MSFT deal, i'd sell $85 puts back then at like 200% IV because fundamentally I'd buy at those levels. IV goes to 100%+ on stuff like NBIS if there's one or two days out and that's actually a good thing for option sellers. If it's a week out then uhh something might be extremely volatile. _ If I had to breakdown individual ones AMZN for example, as a swing trader I'd would buy calls around $210 levels, unlikely to drop past $207.5 (so breakeven is $207.15 which is -5.96%), so you want to make sure you choose a level it never hits. You also know IV + beta (how things fluctuates) is relatively low so you can change your margin based on it never hitting. For high beta for example, 85 NBIS $96 PUT, (+$5.52K premium) ($809K) IV is 92% which is so nice for option selling. You get more premium, and you don't really erxpect it to dip below $100 either. IBKR doesn't do this so I'd recommend stuff like Robinhood to see breakeven, so on this stock would need to drop 11.3% for breakeven. _ Again I'd only recommend this if you're an active swing trader with higher risk tolerance, otherwise stick with stocks that you just hold over a year. This is also for aggressive compounding option selling, not using it strategically to DCA into positions, (eg. if I wanted to buy AMZN at $120, and I think I could get it at a better position, you can write PUTS at current strike instead of way lower). Also, this kinda always works every week **UNLESS** there's a black swan event like Trump tarrifs that absolutely tank the market. So PUT sellers that week kind of got wrecked, and you might need to just take a tiny loss and restart. I do this when I have spare cash on the side since I'm more of a breakout trader type. This is just my personal trading style and flow of thoughts, again VERY DANGEROUS, even if you have some experience. This is super advanced, a lot of former quant traders + buyside colleagues of mine have cash and do this option selling style off $10m+, I'm just kinda showing how it's done and what the thought process is behind it. Feel free to ask random questions and I'll help explain.
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分享9/25市场观点、定投计划及详细投资组合权重。
9月25日的每日思考+市场下跌分析，如果你喜欢我的见解： 1. 三次降息（Triple rate cut）的概率从65%降至56%。这影响很大，因为人们正在提前交易（front-running）降息预期。无论如何，任何降息通常都会带来大量资金流入，因此对几个月后的市场总体看涨。鲍威尔关于市场估值过高的观点在某些股票上确实成立。Oklo、Quantum等严重高估，但我从不做空。甚至像RKLB这样我喜欢的股票也严重高估。但由于通胀，场外资金太多，除了股票、房地产和BTC外别无他物可持。三次降息意味着他们希望“抢椅子游戏”（musical chairs）再持续8个月。我会开始担心明年夏天。 2. 市场过去两天下跌，我会利用这个机会在$Z下跌15%后定投（DCA），或在$NBIS下跌5%后买入AMZN。我仍需研究$CIFR，因此在下跌17.5%后还不能完全有信心推荐（暂时），如果我喜欢它，我可能会隔夜买入。还有很多有趣的标的可以波段交易，比如RKLB。我仍在等待下个月TGT的六位数看涨期权收益，因为11月的股息。大家都在加载AMZN的看涨期权，但像GOOGL一样，它可能会跌至$210->$200的水平，人们放弃后开始一波愚蠢的反弹。这就是为什么我说如果跌更多就换成看涨期权。 3. 大量税务亏损收割（tax harvesting）正在进行。如果你有耐心等4个月，像ETOR、TGT、LULU这样被低估的公司可能会恢复，但显然除非你使用杠杆+期权，否则不会获得600%+的收益。对于耐心的投资者来说，现在是囤货的好时机。 4. 我一直主张在市场放弃时（例如以太坊$1600）在低位买入，而当Bitmine出现新叙事时，在$4k+卖出是好的时机。即使跌至$3.5k我也不会抄底。我对此有一个完整的论点，但留到另一天再说。这与NBIS不同，后者投机性较低，比如一个170亿美元的合同流入一家市值250亿美元的公司，这只是执行+等待的问题。仍在等待LTC，小市值，市场仍定价90%的ETF获批。几个月后LTC可能会有一个新的Bitmine，凭借小市值可以大幅反弹。 5. 我从未见过除了“ thirst traps”（诱惑照）之外，书签数超过点赞数的帖子，所以你们一定喜欢我的投资组合权重！你已经看到我在这里做日内交易：https://t.co/AjTB69Na65，但每次改变头寸都进行喊单有点烦人，所以我更喜欢只发布一般性见解+论点。 6. 市场定价的是远期收入，即使你今天看到NBIS、TSM等下跌，它们基本面很好，可能会继续上涨。
英文原文
So daily thoughts on Sept 25th + market drop if you like my insights: 1. 3x rate cut went from 65% to 56% from data today. This is a lot more material, since people are front-running rate cuts now. Either way, any rate cut usually lead to large inflows so it's generally bullish for markets months out. Powell's thoughts about market being overvalued holds kind of true for certain stocks. Oklo, Quantum, etc. way too overvalued but never short. Even stuff i love like RKLB, really overvalued. But there's too much money flowing on sidelines, nothing else to hold other than stocks, real estate, btc, because of all the inflation. Triple rate cut implies they want to keep musical chairs running for another 8 moths. I'd start to worry around Summer next year. 2. Market droplast two days, I'd use the opportunity to DCA into $Z after 15% drop, AMZN, or $NBIS after 5%. I still need to research $CIFR so can't really full conviction recommend it after a 17.5% drop (yet), if I like it I'd probably buy overnight. Lot of fun things to swing trade like RKLB on the side. I'm still waiting next month for 6 figures in TGT calls, cause of Nov dividend. Everyone's loading AMZN calls now, but like GOOGL it will might drop to levels like $210 -> $200, where people give up then start some stupid rally. That's kinda why I said shares into calls if it drops more. 3. Lot of tax harvesting taking place. If you have the patience to wait 4 months, lot of undervalued companies like ETOR, TGT, LULU, will likely recover but obviously won't net 600%+ gains unless you do leverage + options. Great time to stock up if you're a patient investor. 4. I've always maintained you should buy stuff at the lows when market gives up on it (eg. Ethereum $1600), and when there's a new narrative with Bitmine, it's a good time to sell at $4k+. I wouldn't buy the dip even if it drops to $3.5k. I have a whole thesis on this but I'll save this for another day. This is only different if it's less speculative like NBIS, like a literal $17B contract flowing into a 25B marketcap company and it's just a matter of execution + waiting. Still waiting for LTC, small marketcap, market still pricing in 90% etf approval. There's likely going to be a new BItmine for Litcoin in a few months, and with a small MC can rally quite a bit. 5. I've never seen a post get more bookmarks than likes other than thirst traps, so you all must like my portfolio weighting! You've already seen me day trade here: https://t.co/AjTB69Na65 but it's a little annoying for me to do call-outs every time I change positions so I'd prefer to just post general insights + thesis. 6. Market prices in forward revenue, even if you see stuff like NBIS, TSM and stuff dropping today, they're great fundamentally and will likely keep going up.
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博主分享其包含NBIS等39只标的的具体投资组合权重配置。
我收到了很多关于股票权重的提问。我会构建的投资组合如下： 30% $NBIS 6% AMZN 5.5% TSM 5% BTC 5% LULU 4% UNH 4% $RKLB 4% LTC 3% ORCL 3% TGT 3% GRAB 2% $IREN 2% META 2% HOOD 2% HIMS 2% AMD 2% NVO 1.5% CRDO 1% BITF 1% ASTS 1% SG 1% UPWK 1% MP 1% FOUR 1% ETOR 1% INTC 1% COIN 1% SMCI 1% MRVL 1% DAVE .5% DLO .5% MELI .5% SNAP .5% CRWV .2% ONDS .2% NFE .2% TSSI .2% BKKT .2% GRRR
英文原文
I've been getting a lot of stock weighting questions. A portfolio I'd build would be: 30% $NBIS 6% AMZN 5.5% TSM 5% BTC 5% LULU 4% UNH 4% $RKLB 4% LTC 3% ORCL 3% TGT 3% GRAB 2% $IREN 2% META 2% HOOD 2% HIMS 2% AMD 2% NVO 1.5% CRDO 1% BITF 1% ASTS 1% SG 1% UPWK 1% MP 1% FOUR 1% ETOR 1% INTC 1% COIN 1% SMCI 1% MRVL 1% DAVE .5% DLO .5% MELI .5% SNAP .5% CRWV .2% ONDS .2% NFE .2% TSSI .2% BKKT .2% GRRR
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建议$220买入AMZN正股，并预测科技巨头市值目标。
如果你做正股，$AMZN 在 $220 是个很好的买入点。 我会等到 $211-216 再入场短期看涨期权。今天的美联储会议没有影响三次降息的概率。 关于科技巨头，我的预测是： $TSM -> $1.8T $META -> $2.3T $AMZN -> $3T https://t.co/5KwV6XZWxK
英文原文
$AMZN is an great buy here at $220 if you're doing shares. I'd wait for $211-216 before entering shorter term calls. Fed meeting today didn't affect odds of 3x rate cut. In terms of tech giants my guess is: $TSM -> $1.8T $META -> $2.3T $AMZN -> $3T https://t.co/5KwV6XZWxK
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ALAB因覆盖五大科技巨头且高增长高毛利，有望复制英伟达路径实现千倍涨幅。
$ALAB 之所以起飞，是因为 Astera 是唯一一家系统性暴露于五大科技巨头（Mag7）中5家的小盘股。 1. ALAB 的客户群字面意义上就是 Mag7：$GOOGL、$MSFT、$NVDA、$META 和 $AMZN。 2. 他们的增长率令人惊叹，同比增长 ~150%+，毛利率为 76%（高于 NVDA，是半导体市场中最高的之一）。 3. 正如 $GOOGL 财报所示，AI 支出的资本支出仍在增加。 NVDA 从 1500 亿市值起步 -> 4 万亿+，因为超大规模数据中心需要 GPU。我们正处于 ALAB 在 AI 供应链中产生这种效应的起点，而其市值仅为 200 亿。 如果他们执行得当且 AI 基础设施建设持续，我们可能会看到下一个 1000% 的涨幅。
英文原文
The reason why $ALAB is taking off is because Astera is the only small cap company in existence with systemic exposure to 5 of the Mag7. 1. ALAB's customer base is literally Mag 7: $GOOGL, $MSFT, $NVDA, $META, and $AMZN. 2. They're growing at astounding rates ~150%+ y/y, with 76% margins (with higher margins than NVDA, one of the highest in the semi market). 3. Capex is still increasing for AI spend, as seen with $GOOGL earnings. NVDA started at a 150B market cap -> 4 TRILLION+ because hyperscalers needed GPUs. We're the start of this effect with ALAB for the AI supply chain, and it's starting at a small 20B market cap. We could see this being the next 1000% if they execute properly and AI infrastructure buildout continues.
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分享GOOGL盈利及回购利好，看多科技股年底表现
关于我发布的WSB图表： 在$GOOGL上，已实现利润为101,428美元+，还有大量未实现利润，因为我预计如果科技股反弹持续，GOOGL年底将触及220美元+（$META $APPL $AMZN $MSFT $NVDA $SPOT）。 财报表现完全爆表，且他们仍有700多亿美元的股票回购计划 https://t.co/G6jrKAyumE
英文原文
For WSB charts I posted: On $GOOGL, realized profit was $101,428+, and lots of unrealized profit since I expect GOOGL to hit $220+ EOY if tech rally continues ( $META $APPL $AMZN $MSFT $NVDA $SPOT) Earnings were a complete blowout and they still have 70B+ in buybacks https://t.co/G6jrKAyumE