$TSM
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中国对日出口管制致WF6断供，利好韩国富山。
好吧，我的韩国同胞们，好久不见。 富山（093370，市值约12亿美元）看起来即将成为巨大的受益者。 基本上，中国对日本实施出口管制，导致其六氟化钨(WF₆)供应链中断。 这意味着SK海力士、三星和$TSM所需的世界25%的供应将告吹。
原推 ↗英文原文
Okay my fellow Koreans, it's been awhile. Foosung (093370, ~$1.2B MC) looks like a massive beneficiary soon. Basically China export controlled Japan, causing their WF₆ supply chain to go down. Meaning 25% of the world's supply required for SK Hynix, Samsung, $TSM go bye
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认为台积电可能是更适合投入的优质标的。
回复 @vipmoaa：$TSM 可能是最适合这样做的名字之一。 投资回报率大概会比你那辆不断贬值的车更好。
原推 ↗英文原文
@vipmoaa $TSM is probably one of the better names to do that for. Probably better RoI than your depreciating car
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提出精材作为台积电封测/CPO相关潜在机会。
精材(3374)看起来也是一个有趣想法（台积电封装/测试子公司）。 市值约21.8亿美元。 $TSM 的 COUPE 将在今年下半年，也就是2026年下半年开始量产。而且……他们计划“积极通过子公司精材追求 CPO 机会”。 这非常……
原推 ↗英文原文
Xintec (3374) also looks like an interesting idea (TSMC packaging/test subsidary). MC is at ~ $2.18B. $TSM COUPE mass production starts this half, H2 2026. and... they have plans for "Aggressively pursuing CPO opportunities with subsidiaries Xintec". This is just very https://t.co/e3NXsmQd6v
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列出其偏好的CPO/光子学供应链标的。
$SIVE 是第1，$AAOI 是第2，上面措辞用错了。 总体上我喜欢： - $SIVE（CPO 激光器） - $AAOI（端到端可插拔/CPO） - Foci（FAU + 无源组件，$TSM COUPE / $NVDA） - Shunsin（封装/测试） - Win Semi（代工） - $TSEM（代工） - $SOI（硅光子） - Nextronics（CPO 连接器/笼式热管理模块） 还有其他几个。
原推 ↗英文原文
$SIVE is #1, $AAOI is #2 used wrong wording above. Generally a fan of: - $SIVE (CPO lasers) - $AAOI (End-to-End pluggable/cpo) - Foci (FAU +passive components $TSM COUPE / $NVDA) - Shunsin (Packaging/Test) - Win Semi (foundry) - $TSEM (foundry) - $SOI (silicon photonics) - Nextronics (CPO connector / cage thermal module) And a few others.
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台积电董事长称CoPoS未来2-3年放量，汽车和机器人也是增长方向。
$TSM 董事长：CoPoS 在未来2-3年的量会非常大，目前已经有试产线。 我原以为市场还会再等几个月，但 Visera（台积电子公司，相关敞口很大）已经有一点重估。 这可以作为明年的一个长线想法记在心里。大家一直说它严重延后，但未来2年放量意味着2028年。 自动机器人/自动驾驶汽车也被视为 $TSM 的增长领域。 汽车过去两年处于严重低迷，所以这个评论有些意外……虽然我现在到处都能看到 Waymo，这对 $XFAB 和其他当前低迷、但对该领域有很大敞口的公司是很好的验证。 所以这是触底信号，甚至进入高增长向量？我需要对这个想法和时间线再做一点研究。 这类小表述很容易吸引我的注意。
原推 ↗英文原文
$TSM chairman: CoPoS very large within 2-3 year volumes already pilot lines now. Thought markets would wait another few months but Visera (TSM subsidiary heavy exposure) already got re-rated a bit. Just something to keep in mind as a long idea next year, everyone kept saying it’s heavily delayed but next 2 years volume implies 2028. Automous robots / autonomous vehicles seen as growth areas for $TSM. Automotive was in a major slump last 2 years so this is a surprise comment… even tho I see Waymo’s everywhere now great validation for $XFAB and others in a slump now with large exposure to that segment. So signals of a bottom, into even a high growth vector? Will need to do a little more research into that thought/timeline. Just little statements like this catch my eye.
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指出精材3374可能是未知的TSM COUPE供应商。
回复 @RockyKh49376975：可能就是 Xintec（3374），它算是一个不太为人所知的 $TSM COUPE 供应商。 而且它刚好也由台积电持有。
原推 ↗英文原文
@RockyKh49376975 Probably just Xintech (3374) which is kinda the unknown $TSM COUPE supplier. They happen to be owned by TSMC too.
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提出精材3374作为台积电COUPE封测子公司机会。
$TSM COUPE 供应商想法： 另一个是我有敞口的 Xintec（3374）。 这是 $TSM 的测试子公司，目前股价255，市值约21亿美元。 最大的疑问是它们是否和 COUPE 有关联……否则我不会建仓。 但最近有报告确认了台积电的垂直整合计划： “台积电正在建立硅光子帝国，积极通过子公司 Xintec 和 VisEra 寻求共封装光学(CPO)机会，据未具名供应链消息人士称…… 台积电预计将在5月14日（周四）于台湾新竹技术论坛上重点谈其硅光子计划，包括 COUPE 平台。” 所以如果它们是“积极追求机会”，对我来说基本就盖棺定论了。 无论如何，由于 $TSM 持有它，这个多头已经去风险。COUPE 带来上行？ 我个人觉得这是一个有趣想法。
原推 ↗英文原文
$TSM COUPE supplier idea: Another is Xintech (3374) that I have exposure to. This is $TSM’s testing subsidiary, currently trading at 255 ~$2.1B MC. Biggest wonder was if they were linked to COUPE… otherwise I wouldn’t take positions. But some report recently confirmed TSM’s vertical integration plans: “TSMC is building a Silicon Photonics empire, aggressively pursuing Co-Packaged Optics (CPO) opportunities with subsidiaries **Xintec** and VisEra citing unnamed supply chain sources… TSMC is expected to talk up its SiPho plans, including its COUPE platform May 14 (Thursday) at its Technology Symposium in Hsinchu, Taiwan.” So that kinda seals the deal for me if they’re “aggressively pursuit opportunities”. Derisked long anyway given $TSM owns it. Upside from COUPE? Thought it was an interesting idea personally.
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谷歌为AI资本开支融资，利好上游生态。
我从没想过会看到 $GOOGL 需要为 AI 资本开支融资800亿美元的这一天…… 然后沃伦·巴菲特的 $BRK.A 在为超大云厂商 AI 建设提供资金。 - 400亿美元 ATM、300亿美元发行、伯克希尔100亿美元 从 $LITE 到 $AVGO、联发科、$TSM、$MU 的上游生态应该会一路受益。
原推 ↗英文原文
I never thought I’d see the day where $GOOGL needs to raise $80b for AI capex… Then Warren Buffet’s $BRK.A is funding the hyperscaler AI buildout. - $40B ATM, $30B offerings, Berkshire $10B Upstream ecosystem from $LITE to $AVGO to Mediatek to $TSM to $MU should go brrr. https://t.co/CxvctNZyMC
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列出黄仁勋“你们现在太富了”评论涉及的供应链伙伴。
“你们现在太富了” $NVDA ETF。 这些只是 Jensen 用那句话举杯致意的一部分供应链伙伴： TSMC（TSM）- 1.95万亿美元 Micron（MU）- 1.10万亿美元 Delta - 2022.8亿美元 Amphenol（$APH）- 1830亿美元
原推 ↗英文原文
The “You’re So Rich Now” $NVDA ETF. These were just some of the supply chain partners Jensen made a toast to with that comment: TSMC (https://t.co/ihVngJn3CV / TSM) - $1.95T Micron (MU) - $1.10T Delta (https://t.co/nxy6qVoi97) - $202.28B Amphenol ( $APH )- $183.00B https://t.co/khJTATSxIl
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UDN报道TSM COUPE和AI光学市场，Foci和MSSCorp可能受益。
看，一篇新的 UDN 文章谈 $TSM COUPE + AI 光学市场。 机构投资者看好台湾公司： FOCI（3363）和 MSSCorps（6830）预计受益。 不过……这个“机构”是不是应该改成 X 上的散户投资者？ 关于 FOCI：“其 FAU 产品至少已与台积电合作开发三年，规格已推进到1.6T、3.2T，后续量产日程成为市场观察重点。” 关于 MSS：“切入硅光子和 CPO 检测分析，主打‘光损耗检测’技术……并推出硅光子测试平台，锁定研发、工程验证、失效分析和少量多样化测试应用。” 这仍然是两家极小的公司……像 MSS 这样的名字甚至没有被高盛提到，尽管新闻声称有相关性。 所以感觉是 X 很早发现了这个，主流机构看到这类确认后可能即将进入。
原推 ↗英文原文
Oh look, a new UDN article about $TSM COUPE + AI optical markets. Institutional investors are optimistic that Taiwanese companies: FOCI (3363), and MSScorps (6830) are expected to benefit But... that "Institutional" should be changed to retail investors on X? For FOCI: "Its FAU products have been developed in cooperation with TSMC for at least three years, and the specifications have been promoted to 1.6T, 3.2T, and the subsequent mass production schedule has become the focus of market observation." For MSS: "cut into the silicon photonics and CPO detection analysis, the main "light loss detection" technology ... and launch of the silicon photonics test platform, lock in research and development, engineering verification, failure analysis and a small number of diverse test applications." These are still two extremely small companies... and things like MSS weren't even mentioned by GS, despite the news claims about relations. So feels like X found this early, mainstream institutions are likely about to enter after seeing this sort of confirmation.
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认为FOCI不会成为500亿公司，但可因光组件/FAU规模化结构性重估。
回复 @_juicebox99_：我不认为 FOCI 会成为500亿美元以上的公司。 它们专注于一件事，比如为 $TSM / $NVDA 做光组件 + FAU，并规模化生产。所以这很可能驱动与市值相关的结构性重估。 这和美国公司通过 TAM 扩张成为1000亿美元以上公司的模式不太一样。
原推 ↗英文原文
@_juicebox99_ I don't see FOCI becoming a $50B+ company. They focus on one thing like optical components + FAU for $TSM / $NVDA, then do it at scale. So that would likely drives structural re-rating related to MC. Not quite the same as the US model of TAM expanding into $100B+ companies.
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梳理玻璃基板光刻胶、ABF瓶颈和关键矿物供应链。
一些随机笔记： 关于玻璃基板：“YC Chem 据称成为业内首家供应玻璃基板光刻胶的公司”（KR 112290）。 - 目标年底量产，通常量产 + 首发对股价有利。 “目前正与三家以上公司洽谈玻璃基板材料供应”，所以还有更多认证。 “Samyang NC Chem 也在开发玻璃基板光刻胶材料”（482630）。 - 正在送样，明年量产，是另一个玻璃基板名字。 “$NVDA 可能通过长期协议、预付款或战略合作提前锁定高端基板产能，目标是避免 CoWoS 和 HBM 过去出现的供应限制重演。”这与 $TSM COUPE 基板有关。 “Commercial Times 强调，AI GPU、ASIC 和 CPO 需求可能在2027年前触发另一轮高端 ABF 基板短缺。” 所以还有更多基板瓶颈。 另外还有：“中国同意解决美国对稀土和关键矿物短缺的担忧，特别是钇、钪、钕和铟。” 如果你想找多头想法，可以研究钇、钪、钕和铟供应链。 现在一切都在回调，但如果你对更多随机想法感兴趣，这是值得关注的东西。
原推 ↗英文原文
Just some random notes: For glass substrates: "YC Chem has reportedly become the first in the industry to supply photoresists for glass substrates" (KR 112290) - targeting EOY mass production, usually mass production + first to market is good for stock prices. "is currently in discussions with more than three companies regarding the supply of glass substrate materials" so more qualifications. "Samyang NC Chem is also developing photoresist materials for glass substrates" (482630) - Sampling, mass production next year another glass substrate name " $NVDA may seek to secure high-end substrate capacity in advance through long-term agreements, prepayments, or strategic partnerships, aiming to avoid a repeat of the supply constraints previously seen in CoWoS and HBM." This is in relation to $TSM COUPE on Substrate. "As Commercial Times highlights, demand from AI GPUs, ASICs, and CPO could trigger another supply shortage of high-end ABF substrates by 2027." So more substrate bottleneck stuff. Then there's: "China's agreement to address US concerns over rare earth and critical mineral shortages specifically yttrium, scandium, neodymium and indium" So good to look into yttrium, scandium, neodymium and indium supply chains if you want long ideas. Everything is kinda correcting right now, but just something to keep a lookout for if ur interested in more random ideas.
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预计明年会有很多关于FAU和组件瓶颈的文章，FOCI/Nextronics等会处于中心。
明年……我预计会有很多关于 FAU + 组件瓶颈的文章。 尤其是随着 $NVDA + $TSM 领导的新 CPO 架构开始放量。 然后今天我提到的 FOCI（约28亿美元市值）或 Nextronics（约2.46亿美元市值）等很多名字会处于中心。 尽管其中很多被贴上“商品”标签……（看看变压器/NAND）。 到时我会像 $AXTI 一样发一条“你听了吗，朋友”。 我们看看这是否正确。
原推 ↗英文原文
Next year… I’m expecting there to be many articles about FAU + component bottlenecks. Especially as the new CPO architecture led by $NVDA + $TSM starts to scale. Then a lot of these names like FOCI (~$2.8B MC) or Nextronics (~$246M MC) that I’m mentioning today will be in the center of it. Despite many of these “commodity” labels… (just look at transformers/NAND) And I’ll do a “Did you listen anon post” like $AXTI. We’ll see if this is right.
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质疑 POET 估值高过 FOCI 的合理性
为什么 $POET（31.4 亿美元）的估值会比 FOCI（3363，31 亿美元）还高？？？ FOCI 明明就是 CPO 量产爬坡的瓶颈，也是 $TSM 和 $NVDA 的主要供应商。 我非常看好 FOCI，等机构发现这个名字后，它会跑赢。 另外，FOCI 管理层能不能像 $HIMX 那样去做 NASDAQ ADR？谢谢。
原推 ↗英文原文
HOW DOES $POET ($3.14B) HAVE A HIGHER VALUATION THAN FOCI (3363, $3.1B)??? FOCI IS LITERALLY THE BOTTLENECK FOR CPO VOLUME RAMP AND MAIN SUPPLIER FOR $TSM AND $NVDA. High conviction Foci outperforms once institutions find this name. Also, can Foci management please pursue NASDAQ ADR like $HIMX? Thank you.
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认为 FOCI 被严重低估
FOCI（3363）是现在全市场里被低估最严重的 CPO 玩家之一，市值大概只有 30 亿美元。 它的 BOM 相对市值非常大，而且预计会拿到 $NVDA / $TSM 的主导性份额。 你要到 2027 / 2028 年才会真正看到这件事兑现，虽然我们现在已经进入 2026 年下半年了（这也是我说在提前押注 CPO 超级周期）。
原推 ↗英文原文
FOCI (3363) is one of the most undervalued CPO players in the entire market right now at ~$3B. Their BOM is massive relative to MC and they're expected to capture a dominant market share for $NVDA / $TSM. You only start to see this show up 2027 / 2028, even though we're entering H2 2026 now (which is what I mean by frontrunning CPO supercycle).
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看好 FOCI 在未来两年大幅跑赢
说实话，我预计 FOCI（3363）在接下来两年会远远打爆预期。 这个价位对我来说是中期非常高置信度的持仓。 因为他们预计会成为 $NVDA 和 $TSM 的领先供应商，而且经常被提到是支撑 2028 年 $91B+ CPO TAM 的关键瓶颈（GS）。 太离谱了：一个推动规模化所必需的关键 CPO 瓶颈，市值只有 30 亿美元；而 LightWave Logic 这种还在开发阶段的公司，市值也差不多有 27 亿美元。
原推 ↗英文原文
Honestly I’m expecting FOCI (3363) to blow away projections over next two years. It’s a pretty high conviction position for me medium term at this level. Since they’re expected to be the leading supplier to $NVDA and $TSM and get frequently cited as a bottleneck for that $91B+ 2028 CPO TAM (GS). Insane how it’s $3B MC as a critical CPO bottleneck required for scale, while LightWave Logic literally has around the same valuation at $2.7B in development stage.
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说明 FOCI 在 CPO 暴露里非常有吸引力
FOCI（3363）在现在这个位置上，作为 CPO 敞口看起来极具吸引力，市值大概只有 33.5 亿美元。 1. $TSM COUPE 先进封装负责人暗示，FOCI 提供的 FAU 供给会是量产中的大瓶颈。 2. Morgan Stanley note 预计他们会成为 $NVDA 和 $TSM 的领先供应商，市占率最高可到 50%。 3. $HIMX 释放了创纪录需求的信号，而且表示 Foci 应该扩产，这意味着中期需求可见度很高。 4. 根据 Goldman Sachs 的研究，FAU 和光学组件占 CPO 相关 BOM 的很大比例。 5. 总体 CPO TAM 按 GS 的说法，未来两年会从接近 0 增长到 910 亿美元。 方向上我对这个主题非常有信心（NFA），尽管短期市场波动很大。 风险在于后续 generation 被设计替代。 但在未来 1-2 年里，我认为它有很高的重估潜力，相比其他名字也许需要持续跟踪。 只是顺手分享一下我持有的更纯 CPO 敞口思路。
原推 ↗英文原文
FOCI (3363) is looks extremely compelling around now at ~$3.35B MC for CPO exposure. 1. $TSM COUPE advanced packaging director hinted that FAU supplies by FOCI be a pretty big bottleneck for mass production. 2. Leading supplier for $NVDA and $TSM expected with up to 50% market share from Morgan Stanley note. 3. $HIMX signaled record demand and that Foci should scale up capacity (meaning high medium term demand visibility) 4. FAU and optical components make a large % of CPO related BOM from Goldman Sachs research note. 5. Overarching CPO tam basically goes from near 0 to $91B in the next two years from the GS note. I’m very confident about this theme directionally over time (NFA), despite any recent market volatility. Risks include getting designed out for later generations. But over the next 1-2 years, I think it has high potential to be re-rated compared to other names but might need to be actively monitored. Just throwing out ideas over long positions I hold, for more purer play CPO exposure.
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别拿 HIMS 的药和 TSM 的 FAU 供应商相比
@mrng2019 为什么要把 $HIMS 的睾酮药片，和 $TSM 的 COUPE FAU 供应商放在一起比呢。
原推 ↗英文原文
@mrng2019 Why are we comparing $HIMS testosterone pills with the $TSM FAU supplier for COUPE.
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总结近期半导体与 AI 供应链的多项变化
这是我对最近半导体发展的一个 TLDR： 1. $TSM 在强推 CoPoS - VisEra / 其他公司可能会比预期更早起飞。 2. $AAPL 选择 $INTC 做半导体生产，这是个重大变化，因为他们通常会选 TSM。美国制造继续起飞，Intel 继续起飞。 3. $NVDA Vera Rubin 最近据说对散热架构做了很新的调整。 “台湾的热管理供应商正在成为 AI 硬件生态里增长最快的板块之一” - 上个月的说法。 “Vera Rubin server 架构预计会推动数据中心散热和系统设计发生根本变化” 我之后会专门看热管理生态，也许该开始研究一下？ 4. 2D NAND 短缺在 Samsung、Micron 和其他玩家退出后继续恶化。 Macronix、Windbond 都在起飞，这对 GigaDevice 和其他利基玩家也有影响。 5. “大科技公司据称愿意出资帮助 SK Hynix 建 fab 和 EUV” 说明 memory 短缺严重到 Mag7 都愿意出钱，那 $MU、SK Hynix、Samsung 都在起飞。 6. $TSM 2026 年 4 月净营收 126 亿美元，收入同比增长 30%，半导体继续起飞。 7. Anthropic 需要算力 -> SpaceX。 这意味着算力需求极其强，对 $NBIS 等都是“BRRR”级别利好。 但很有意思的是，他们绕开了 Neoclouds，选了 SpaceX。 8. “SKC 将在今年年底前加速为美国客户量产玻璃基板” “提前于原计划，已宣布今年年底前推进” 像 $LPK 这样的玻璃基板量产玩家，以及 SKC 这类相关公司都在起飞。 玻璃时间线被提前了，真的 heavy brrr glass。 9. AI 服务器需求和 GaN 争夺加剧，电源芯片短缺也在加深。 也许是时候看看电源芯片瓶颈了？ 10. Adata 说 DRAM 和 NAND 闪存合约价在 2026 年第二季度都会上涨 40% 以上。 这对 $MU、SK Hynix、Samsung、$SNDK 等都是正面。
原推 ↗英文原文
Just a TLDR of recent semi developments: 1. $TSM pushing hard CoPoS - VisEra/others might go brrr earlier than expected. 2. $AAPL goes with $INTC for semi production, which is a major shift cause they normally go with TSM. Made in America go like Intel go brrr. 3. $NVDA Vera Rubin reportedly makes changes to cooling architectures very recently. "Taiwan's thermal management suppliers are emerging as one of the fastest-growing segments in the AI hardware ecosystem" - From Last Month. "Vera Rubin server architecture is expected to drive a fundamental shift in data center cooling and system design" Will cover thermal ecosystem later, maybe it's time to take a look? 4. 2D NAND shortage spirals after Samsung, Micron, and rivals exit market Macronix, Windbond go brrr. implications for GigaDevice and other niche players. 5. "Big Tech reportedly offers to fund SK Hynix fabs and EUV" - Memory that badly bottlenecked that mag7 wants to pay for it, so $MU, SK Hynix, Samsung go brr. 6. $TSM 2026 net revenue $12.6B for April 2026. Revenue up 30%, Semis keep going brr. 7. Anthropic needs compute -> SpaceX. So implications for compute demand is extreme here which is BRRR $NBIS and others. But it's very interesting they sidestepped Neoclouds and went with SpaceX. 8. "SKC to Accelerate Mass Production of Glass Substrates for U.S. Clients by the End of the Year" "the end of the year, ahead of its original plan, it has been announced" Glass Core substrates players like $LPK for mass production and other related players like SKC go brrr. Glass timelines moved up. heavy brrr glass. 9. "Power chip shortages deepen as AI server demand and GaN battles escalate" Maybe time to look into the power chip bottleneck anon? 10. "Adata said DRAM and NAND flash contract prices will each climb more than 40% in the second quarter of 2026" Another positive for $MU, SK Hynix, Samsung, $SNDK, and others.
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欣讯通过鸿海垂直整合间接成为英伟达CPO供应链受益者，被市场忽视且估值偏低。
我很确定像高盛这样的机构在$15亿估值时错过了欣讯(6451)的CPO封装/测试/组装业务。这就是为什么我非常看好它，认为它是一个完全走后门的、隐藏的英伟达CPO产能提升的主要受益者。鸿海是其供应链中的主要合作伙伴，包括$TSM和$ASX。但是……欣讯是鸿海的光学部门，并承接其内部的全部光学和先进封装业务。所以它们没有在任何地方被明确列出，也没有与英伟达的直接合同（但鸿海有）。但很可能通过鸿海垂直整合吸收了英伟达的CPO和其他产能。
原推 ↗英文原文
Pretty sure institutions like GS missed Shunsin (6451) at $1.65B for CPO packaging/test/assembly. Which is why I'm very bullish on it as a completely backdoored, hidden + major beneficiary of $NVDA CPO ramp. Foxconn is a major supply chain partner among $TSM and $ASX. But… Shunsin is Foxconn's optical arm, and captures their captive optical and advanced packaging volume. So they're not explicitly listed anywhere or have direct contracts with Nvidia (but Foxconn does) But likely soaks up Nvidia CPO + other volumes through Foxconn vertical integration.
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解释 MSSCorp 的功能性垄断地位
我确实说过，MSSCORP 很可能在 CPO 检测上有功能性垄断。 这几乎没有绕开的办法，而且对 $NVDA / $TSM 的良率来说都很关键。 他们自己也说过“the c...”
原推 ↗英文原文
I did say MSSCORP likely has a functional monopoly for CPO over inspection. Not really a way around it and it's critical for $NVDA / $TSM yields as CPO ramps. They did say "the company’s goal is to seize a 90 percent share of the CPO inspection market" Should have been the biggest indicator.
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看好SIVE和GFS，因其无晶圆厂模式易扩张，类似NVDA+TSM的成功路径
@Leon8995385220 $SIVE 可能已与 Win Semi（稳懋半导体）锁定产能分配协议以实现规模扩张，并与 $GFS（GlobalFoundries）合作。这就是为什么我对这两只股票都做多，作为无晶圆厂(fabless)模式容易扩张，有点像 $NVDA + $TSM。
原推 ↗英文原文
@Leon8995385220 $SIVE likely locked up allocation agreements with Win Semi to scale. And works with $GFS. Which is why I'm long on them both, easy to scale as fabless, kinda like $NVDA + $TSM.
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作者两个月前逆势做多$EWY，现在浮盈约3倍，证明自己判断正确。
两个月前所有人都在唱空 $EWY。 称其为“白银崩盘”或“高丽指数泡沫”。 现在他们全都改口，说自己一直看多存储器。 即便从 $RPI 到 $SIVE 的恐惧发帖不断，我的论点最终还是正确的。 我能积累24.5万+粉丝的主要原因，是我对自己的观点始终保持一致性且立场坚定。 我的 $EWY 多头仓位现在浮盈约3倍。 （引用内容）： 感觉所有人都在唱空韩国综合指数（KOSPI），说： > “看看这图表，它不可能一直涨下去！” > 存储器是需求的黑洞（$SNDK 要等3年才能交付预订单） > $EWY 基本就是两只股票，三星和SK海力士，不能代表韩国经济 > 就像说台湾指数是泡沫，因为追踪 $TSM 和联发科的指数在涨。 > 存储器需求/AI不会因为伊朗战争就消失，只是会变得更贵。 > 原油/LNG能源成本增加会转嫁给超大规模云厂商，不会被运营费用吸收。 这看起来是恐惧抛售和去杠杆化（3倍杠杆ETF和10倍可能已被清洗），而不是实质性运营问题（略有 bearish 阻力，但不至于 -30%）。 SK海力士期货现在市值交易区间在$300B 高位到 $400B 低位。 如果 $MS 和更新的分析师预期即使略微正确，SK海力士的营业利润例如将达到约$300B。 到2028年他们将坐拥大量现金储备，即使存储器价格下跌也不怕。（甚至还没考虑需求变成结构性）。 这看起来又是另一个DeepSeek-Nvidia式的恐惧抛售情形，尤其是在nand/dram价格最近再次调涨之后。更像是底部时机的把握问题。 像这样的时刻，逻辑比非理性的标题党抛售更重要。
原推 ↗英文原文
Everyone was doomposting $EWY 2 months ago. Calling it “Silver Crash” or “KOSPI crash bubble” Now they’re all flip flopping opinions, saying they were bullish memory all along. Even despite fear posting from $RPI to $SIVE, my thesis ends up right. Main reason I got 245K+ followers is because I’m consistently right about my opinions while taking a firm directional stance. My $EWY longs are now up ~3x.
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分析CPO供应链中三家最有可能实现3倍涨幅的公司：SIVE(MC约$1.3B)、MSSCORP($1.2B)、Auros($210M)。
至于3倍涨幅的股票，在这些水平上我认为： 1. SIVE 2. MSSCORP (6830) 3. Auros (322310) 是我最看好的猜测。以下是我的思路： 1. SIVE：我真心认为他们明年能达到100亿美元以上的市值，他们是CPO激光器领域的绝对前沿，与LITE和COHR并列。 按130亿美元市值计算...关于可能的版图映射： 光子学领域：AMD CPO、MRVL Celestial CPO、JBL 1.6T、Lightmatter、Ayar、ALChip、GUC、O-Net (ELS)、POET。 太空与国防领域：通过YSS、RTX、ERIC、Bae Systems实现的Golden Dome项目。 硅光子学领域：AAPL（Apple Watch）。 这已经是非常多的客户了，而且还在持续增加。 他们总是可以通过IP收购向下游拓展TAM，或垂直整合来快速追赶LITE的600亿美元市值，一旦获得更多融资的话。 2. MSSCORP (6830)：CPO检测领域的垄断者，约12亿美元市值。 对CPO良率的100%垄断，TSM、AMAT、NVDA、LCRX、INTC等很可能都是客户。 "公司的目标是占据CPO检测市场90%的份额" 这基本意味着100%，只是他们不想引发反垄断担忧。如果他们守住垄断地位且CPO产能增加，很容易从12亿美元涨到50-90亿美元。 3. Auros (322310)：三星/SK海力士的供应商，约2.1亿美元市值，专注于混合键合(Hybrid Bonding)量测。 基本上专注于两类产品： -> HBM4 / HBM4e / HBM5周期，这是KLA此前在IR量测领域拥有垄断地位的市场。 ---> 目前正在三星工厂进行认证，下半年预计量能爬坡。SK海力士在升级到混合键合时很可能也会进行认证。 -> 薄膜厚度测量。 ---> 正在获得"主要本土芯片制造商"（三星或SK海力士之一）的认证，目标今年实现批量供应。 他们已经开发了十多年，终于要在下半年从数年的认证期转向两类产品的量能爬坡。 如果他们转型到量能爬坡阶段，似乎非常有希望在3倍至6.3亿美元左右，这在韩国市场中像是一颗未被发现的宝石。 当然，我不确定这些公司最终会如何发展，这全都是推测性的，但这是高置信度的供应链映射。 但凭我的直觉，这三只我自己持有的股票在这个水平上最有可能。
原推 ↗英文原文
As for 3x brrrs these levels: 1. $SIVE 2. MSSCORP (6830) 3. Auros (322310) Are my best guesses. Here's my thought process: 1. $SIVE: I genuinely do see them being $10B+ next year, they're the literal bleeding edge for CPO lasers alongside $LITE and $COHR. At a $1.3B MC... For likely mapping: Photonics: $AMD CPO, $MRVL Celestial CPO, $JBL 1.6T, Lightmatter, Ayar, ALChip, GUC, O-Net (ELS), $POET. For Space + Defense: Golden Dome via $YSS, $RTX / $ERIC / Bae Systems. Silicon Photonics: $AAPL (Apple Watches). This is just a stupid amount of customers and it's still increasing. They can always TAM expansion downstream through IP acquisitions or vertically integrate to speedrun $LITE's $60B MC one day once they get more funding. 2. MSSCORP (6830): CPO monopoly over inspection at ~$1.2B. 100% monopoly over CPO yields, $TSM, $AMAT, $NVDA, $LCRX, $INTC, and others are all likely customers. "The company’s goal is to seize a 90 percent share of the CPO inspection market" This basically means 100%, they just don't want antitrust. If they defend their monopoly and CPO ramps, can easily see this worth ~$5B-$9B from $1.2B 3. Auros (322310): Samsung / SK Hynix supplier at ~$210M for Hybrid Bonding Metrology. Basically pure play on two products: -> HBM4 / HBM4e / HBM5 cycles, that $KLA had a monoply over for IR metrology. ---> Getting qualified now likely in Samsung factories, H2 volume ramp est. Sk Hynix likely qualifying too when they upgrade to hybrid bonding. -> Thin-film thickness measurement. ---> Getting qualified now, with "major domestic chipmaker" (either Samsung/Sk hynix), targets mass supply this year. They've been developing for the past decade, only to volume ramp two products from years of qualification H2 this year. Seems extremely likely to 3x to $630M if they switch to volume ramp, feels like an undiscovered gem in the Korean market? Of course, not sure how they play out and this is all speculative but high confidence supply chain mapping. But off the top of my head these three that I own are the most likely ones at this level.
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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。
原推 ↗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), $META, etc through Lightmatter-GUC and others. I don't think markets have priced all of this in, since all the supply chain BOM is very confidential + speculative. But when CPO and next-gen photonic architectures scale up, volume ramp revenue will appear out of nowhere on the balance sheet.
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NVDA/TSM 生态还有上行
@latent_value7 嗯……$NVDA / $TSM 之类现在都在用 MSSCorps，我觉得这还有很大上行空间。
原推 ↗英文原文
@latent_value7 Yeah... $NVDA / $TSM and others all using MSSCorps has pretty big upside imo.
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MSSCorps 在 CPO 检测上像垄断
我现在做多 MSSCorps（6830），市值大约 14 亿美元。 这看起来像是 CPO 检测环节的功能性垄断。 但市场可能把它和材料/失效分析混淆了，后者更像 MA-tek 和 iST 那样的寡头格局。 按客户映射来看： 1. $TSM 2. $NVDA 3. $AAPL 4. $AMAT 5. $LRCX 6. $ASML 7. $INTC 还有很大概率包括 $AVGO、联发科、三星、$MRVL 等等（他们也提到了欧盟）。 如果你感兴趣： - 台北时报把 TSM 说成是客户，Msscorps 为其提供先进材料和失效分析，还点名了苹果、英伟达、Lam、AMAT（也感谢 Latent 和我一起做尽调。英伟达那边还有通过 LinkedIn 之类看到的其他供应链关系） - 对 $AMSL 而言，《台北时报》在 2024 年 9 月 10 日写到：“ASML 采用了 Msscorps 超高灵敏度的光刻胶材料分析” - 对英特尔来说，材料分析实验室 MSSCORPS 已经拿下了英伟达和英特尔等大厂的订单（工业技术研究院） 至于检测（非破坏性红外漏检），他们几乎是垄断。 而且他们还积极使用诉讼（比如 Enli Tech 诉讼）来挡住竞争对手，我把这看成正面因素。 这带来了巨大的定价权和收益率，而且每个主要玩家都要经过他们。 CPO 检测市场也极其关键，和 $AXTI 在 InP 基板环节一样，这种巨大卡点具有纯粹的定价权和提价能力。 风险在于专利诉讼不一定按计划推进，但英伟达和其他超大规模云厂商大概率不会在 MSSCorps 赢了之后去找别家，因为他们不想承担风险。 所以这本身就构成了一个多年期的巨大优势。 超大规模云厂商不会等一个新兴竞争对手证明自己能赢再行动，也不会愿意承担这个风险。 我确实看到了 MSSCorps 因为在 CPO 的关键良率卡点上有机会重估，所以我选择做多（非投资建议，自己做功课），这就是我的思路。
原推 ↗英文原文
I am now long MSSCorps (6830) ~$1.4B MC This appears to be a functional monopoly in CPO for inspection. But markets might have conflated that with Material/Failure Analysis with MA-tek and iST (oligopoly). For customers from mapping: 1. $TSM 2. $NVDA 3. $AAPL 4. $AMAT 5. $LRCX 6. $ASML 7. $INTC And high probability $AVGO, MediaTek, Samsung, $MRVL, and others (they did mention EU too). If you're curious: - Taipei times names TSM as a client that Msscorps provides them with advanced material and failure analysis and name drops Apple, Nvidia, Lam, AMAT (also S/O to Latent for doing DD with me on this. there's other supply chain relationships to Nvidia through things like linkedin) - For $AMSL, Taipei Times, Sept 10, 2024 "ASML adopted Msscorps' ultra-sensitive materials analysis of photoresists" For Intel - Material analysis lab MSSCORPS has secured orders from major manufacturers such as Nvidia and Intel (Industrial Technology Research). For inspection (non-destructive infrared (IR) leakage detection), they're a monopoly. And have aggressively used litigation (like the Enli Tech lawsuit) to lock out rivals, which I view as a positive thing. This creates massive pricing power with yields and every major player goes through them. CPO inspection market is also extremely critical and like $AXTI in the InP substrate section, this massive chokepoint has pure pricing power with price hikes. The risk is the patent suit doesn't go as plan, but Nvidia and other hyperscalers aren't likely to go with other parties in case MSSCorps wins, so this creates a massive multi-year advantage anyway. Hyperscalers aren't going to wait to see how an emerging competitor is going to win or not + take the risk. I do see the massive re-rating potential with MSSCorp holding a critical yields chokepoint over CPO, so I went long (NFA, DYOR), this is just my thought process.
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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）。
原推 ↗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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TOWA 是 HBM4 垄断卡点
所以我就直说了：市值 13.5 亿美元的 Towa（6315）…… 它是 HBM4（压缩成型）上很罕见、活生生的垄断定义。 虽然今年到现在几乎没怎么涨，但像 $MU、SK 海力士、三星这些存储厂商都是他们的客户。而且每一家存储厂商的财报都在指向大幅增加 capex。 就连从 $TSM 的财报也能看出来，所有主要半导体公司都在经历一轮巨额资本开支周期，以满足 AI 需求。 三大存储厂商也都从 HBM3E 和 NAND 里赚得很猛……所以下一轮 capex 周期大概不会像上一轮那样了（意思就是花得会更多）。 像 $ASML 一样，这种东西周期性极强，但我想在未来几个月的 HBM4 capex 爆发里拿到敞口。 我想把这个名字和 $LPK（玻璃核心基板）一起放到大家视野里，因为它们都是功能性垄断。 但我确实觉得现在这个时间点刚刚好，毕竟所有机器供应商都在大幅重估，而它相对还是平的。 这也不算什么新发现，因为之前还有别的分析师和一些随机关注者提过这个名字，但希望我这次把时点抓对了。 （免责声明：我确实持仓，这只是我自己想法的 TLDR，请不要跟单）
原推 ↗英文原文
So just putting it out there: Towa (6315), at $1.35B... Is a rare, living definition of monopoly over HBM4 (compression molding). It's been kinda flat YTD, but every memory company like $MU, Sk Hynix, Samsung are their customers. And each of the memory company earnings signaled massive capex increases. Even as seen with $TSM earnings, every major semi is going through a massive capex cycle to meet AI demand. And all three memory makers have printed from hbm3e and nand... so the next capex cycle is probably not like the last (meaning a lot more spend). Like $ASML, this is hyper-cyclical but I wanted exposure to the upcoming HBM4 capex ramp over these next few months. Thought I'd put this name on people's radar alongside $LPK (glass core substrates) as a functional monopoly. But I do feel like this timing is about right while every machine supplier is having a massive re-rating yet this was relatively flat. Not exactly a new find, since a few other analysts + random followers had this name but hope I get the timing right. (Disclaimer: I do hold positions, this just TLDR of my own thoughts, please don’t copy trade)
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CPU 热度盖过了存储
现在市场都在盯着 CPU，差点把存储给忘了。 但……SK 海力士、$MU、三星最近都在提高 capex，而且三星最近还开始了 HBM4 生产。 $TSM 也释放了全行业创纪录 capex 的信号。 但就像 $LPK 在玻璃核心基板上的逻辑一样…… HBM 阵营里其实也有不少结构性垄断，是市场可能忘掉了的，尤其是在日本这些地方。 它们大概率会从当前的 HBM4 capex 周期里受益。 韩国那边，像 Hanmi Semi（KRX: 042700）今天都涨了 27.6%+，所以我猜全球其他公司也很快会跟上。
原推 ↗英文原文
Markets are looking at CPUs right now and kinda forgot about memory. But... there's increased capex spend with Sk Hynix, $MU, Samsung around now, with Samsung starting HMB4 production recently. $TSM also signaled record capex across the board. But just like $LPK in glass core substrates... There's a decent amount of structural monopolies over in the HBM camp markets that I'm thinking about in places like Japan. That markets may have forgotten? They would largely benefit from current HBM4 capex cycles. Over in Korea, things like Hanmi Semi (KRX: 042700) have been taking off, up 27.6%+ today, so I'd guess the other companies around the world might play catchup soon.
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AI 相关供应链全面拥堵
最近新闻和瓶颈的 TLDR，全部都在起飞： 1. CPU 瓶颈 - $INTC CEO 说 AI 推理把 CPU 比例从 1:8 推到了 1:1。 CPU 起飞（$AMD、Intel、$ARM）-> $AMAT / $TSM / $KLAC 等也跟着起飞。 2. PGME / PGMEA 短缺。DuPont、Shiny Chemical、Daxin、San Fu、$DOW 等都要起飞？ 光刻胶瓶颈也起飞？ 3. 微控制器潜在瓶颈 + 涨价（Arterytek / Arterychip）正在压缩 AI 产能。 MCU 公司可能也要起飞？ 4. 总统本周援引了《国防生产法》，里面包括： - 变压器 - 输电组件 - 先进导体 - 电力电子 - 变电站 - 高压断路器 - 保护继电器、 电容组 - 电气硅钢 这些都被称为“严重短缺”。像 $AMSC、$PLPC、$POWL、$VICR、$ATKR、$HPS.A 之类的也要起飞。 5. $GOOGL 在扩容新的 TPU 服务器。谷歌把 AI 芯片拆成训练 TPU 和推理 TPU。 台湾很开心。联发科等也要起飞？ 6. 三星、Kingston 把 SSD 价格上调了 10% 以上。 SSD 价格还会继续起飞？ 7. T-玻璃玻纤短缺还在恶化？Nittobo 等也继续起飞？ 8. 用于蚀刻电路和阻燃的关键材料溴，价格已经涨到每公吨 12,000 美元。 以色列的 ICL Group 似乎掌控了全球 40% 的供应？ 我对这个不算特别熟，但也有点可疑的起飞？ 9. “外延厂 Landmark Optoelectronics 报告称产量仍远低于客户需求”。 嗯 $IQE 和其他公司也要起飞？ 10. “AI 数据中心碰到互连限制，正在推高光模块需求”。“瓶颈不再只是算力，而是算力如何连接。” 来自 $AAOI、$LITE、$COHR、Innolight 等的光子链条继续起飞？下一代来自 $SIVE、$POET、$MRVL、Win Semi 等也起飞？ 基本上就是 AI 半导体供应链全面起飞，因为 AI 超大规模云厂商需求带来了到处都是的短缺。
原推 ↗英文原文
TLDR of recent news + bottlenecks that go brr: 1. CPU bottleneck - $INTC CEO said AI inference pushed CPU Ratio From 1:8 to 1:1. CPUs go brr ( $AMD, Intel, $ARM) -> $AMAT / $TSM / $KLAC, etc. go brr. 2. PGME / PGMEA shortage. DuPont, Shiny Chemical, Daxin, San Fu, $DOW and others go brr? Photoresist bottleneck go brr? 3. Microcontroller potential bottleneck + price hikes (Arterytek/Arterychip) was weighing price hikes on AI capacity squeezes. MCU companies potentially go brr? 4. President invoked the "Defense Production Act" this week, it included: -Transformers - transmission components - advanced conductors - power electronics - substations - high-voltage circuit breakers - protective relays, capacitor banks - electrical core steel As "severe shortages". Stuff like $AMSC, $PLPC, $POWL, $VICR, $ATKR, $HPS.A go brr. 5. $GOOGL ramps new TPU servers. Google splits AI chips into training and inference TPUs. Taiwan happy. Mediatek and others go brr? 6. Samsung, Kingston lift SSD prices by over 10%. SSD prices keep going brrr? 7. T-glass fiberglass shortages keep getting worse? Nittobo and others keep going brrr? 8. Bromine, essential for etching circuits and flame retardancy, has surged to $12,000 per metric ton. ICL Group in Israel apparently controls 40% of the global supply? Not as familiar with this but questionable brrr? 9. "Epitaxy manufacturer LandMark Optoelectronics reporting output still far below customer needs". Uhh $IQE and others go brr? 10. "AI data centers hit interconnect limits, boosting optical module demand". "the bottleneck is no longer computing power alone, but how that power is connected." Photonics from $AAOI, $LITE, $COHR, Innolight and others keep going brr? next gen from $SIVE, $POET, $MRVL, Win Semi and others go brr? Basically AI semi supply chains go brr because there's widespread shortages everywhere due to AI hyperscaler demand.
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没在高 conviction 上看错过
@ISITrading2717 不，我坚持我说的话。 到现在为止，我在 $HOOD、$RKLB、$TSM、$AAOI、$AEHR、$SIVE 这些高 conviction 标的上都没看错过。 现在也包括 $IREN 社区成员 IQ。
原推 ↗英文原文
@ISITrading2717 Nope, I stand by my words. I haven’t been wrong on any high conviction stock yet from $HOOD, $RKLB, $TSM, $AAOI, $AEHR, $SIVE. And now $IREN community member IQ.
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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？
原推 ↗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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AMD 之外的主要受益者
@northyvt 我觉得除了 $AMD 之外，$TSM 和 OSAT / 先进封装合作伙伴会是主要受益者？ 也许 $AMAT、$LRCX、$KLAC、$ASML 以及其他公司也会受益？ $INTC 也有他们最近回购回来的自有工厂，所以也挺开心的。
原推 ↗英文原文
@northyvt I feel like $TSM and OSAT/advanced packaging partners are the main beneficiaries apart from $AMD? Maybe like $AMAT, $LRCX, $KLAC, $ASML and others too? $INTC also have their own fabs that they bought back recently so it's happy.
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CPU 开始像存储一样短缺
CPU “严重短缺” 现在看着 CPU 一天天变得越来越像存储，挺好笑的，像 $SNDK 那样不断涨价。 “自 3 月以来，服务器 CPU 已上涨 10% 到 20%” $INTC 和 $AMD 计划在 Q3 继续涨价。 “CPU 供应很可能在 2026 和 2027 年继续紧张”，其中“Intel 的服务器 CPU 短缺可能长达 6 个月，AMD 则为 8 到 12 周”。 $TSM 也在因这波短缺而增加 capex。 “恐慌的主要原因是 CPU 和 AI ASIC 需求同时爆发；目前库存包括 Intel、AMD 主流代际 CPU，以及 $NVDA 即将推出的 Vera CPU，全部都在 3nm 工艺上。” 看起来我们又绕回来了？
原推 ↗英文原文
CPU "serious supply shortage" It's still funny to see CPUs become more like memory day-by-day with the price hikes like $SNDK. "Server CPUs have jumped between 10% and 20% since March" with $INTC and $AMD planning to further price hikes Q3. "CPU supply is likely to remain tight through 2026 and 2027" with "server CPU shortages reaching up to six months for Intel and 8-12 weeks for AMD" $TSM is also increasing capex in response to this shortage. "The main reason behind the fear is the simultaneous outbreak of CPU and AI ASIC demand; inventory currently includes Intel, AMD mainstream generation CPU, and $NVDA's upcoming Vera CPU, all using 3nm process Looks like we've come full circle?
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欧盟小盘股是防卡点外溢
我有理由重点关注欧盟小盘股。 这是我还没公开讲过的投资 thesis。 我也希望大家愿意花时间读一下： 从 $ALRIB（量子 / MBE）、$LPK（玻璃基板）、$SIVE（DFB 激光），或者像 Nippon Chemical 这样的亚洲公司都包括在内。 这是为了防止敌对势力接管或破坏美国所需的关键卡点。 欧洲的 FiconTEC（虽然是私营公司）就是一个例子，被和中国中共有关联的公司收购了。 我甚至不确定这在法律上怎么会被允许，德国应该 100% 把它从中国手里收回来。 它们几乎垄断了 AI 和 LIDAR 所需的 CPO / SiPH 测试环节。客户里包括 $NVDA、$TSM、$AVGO 和 $INTC 这类最关键的 AI 和半导体公司。 随着时间推移，这种收购之后，大量知识产权和技术 IP 流向中国的可能性很高，而且他们会对美国供应链拥有更多控制。 如果有足够的美国持股和足够的关注，我们的处境会比现在好得多，也不会有隐藏的中共持股 / 接管问题。 否则，我们在美国供应链上就会有更多后门，就像 $AXTI 和 InP 基板那样（如果我们现在没有建立独立产能的话）。 欧盟允许上游供应链卡点（比如专门测试或基板制造）被地缘政治对手买走，或者把 IP 转移过去。 而美国可能还没有意识到这些脆弱性。 这已经是我作为散户能尽到的最大努力了。 未来政策制定者会注意到这些，并在这些草根（散户）自下而上的推动中，阻止这种事情发生。
原推 ↗英文原文
There's a reason I spotlight EU small caps. This my investment thesis that I haven't publicly stated yet. And I hope people spend the time to read: From $ALRIB (quantum/MBE), $LPK (glass substrate), or $SIVE (DFB Lasers). Or even Asian names like Nippon Chemical. It's to prevent hostile actors from taking over or disrupting critical chokepoints required by America. FiconTEC (Europe) as one example (though private) was acquired by Chinese CCP affiliated companies. Not even sure how this was legal and Germany should 100% seize it back from China. They were a quasi-monopoly over testing for CPO/SiPH needed for AI and LIDAR. It's clients include the most critical players in AI and semiconductors, such as $NVDA, $TSM, $AVGO, and $INTC. Over time, significant intellectual property and technological IP transfer to China is highly likely after these acquisitions and they'll have more control over US supply chains. With enough American ownership enough spotlight on these companies: we would be in a worse shape with hidden CCP ownership/takeovers. Or we would have more backdoors on American supply chains like with $AXTI and InP substrates (if we weren't building up independent capacity now). The EU has allowed upstream supply chain chokepoints (like specialized testing or substrate manufacturing) to be bought out or have their IP transferred by geopolitical rivals. While America still not might realize a lot of these vulnerabilities. This is the most I can do as a retail investor to prevent this from happening. Eventually policymakers will pay attention and prevent this from happening if all the movement happens from grassroots (retail) and bottom up.
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评论美国产业政策倾向：资助非中国企业赴美建厂，实质是排除中国的供应链战略。
这就像给韩国锌业拨款在美国建精炼厂，或者给台积电($TSM)拨款在美国建晶圆厂一样。$HPS.A是北美最大的干式变压器(dry transformers)和开关设备(switchgear)供应商，他们在美国也有关键的生产设施，比如威斯康辛和加利福尼亚。我认为这基本上就是"什么都行，就是不要中国"。
原推 ↗英文原文
It's like giving grants to Korea Zinc to build refineries in the US or $TSM to build foundries in the US. $HPS.A is largest dry transformers -> switchgear in north america, and they have critical production facilities in US too like Wisconsin/California. I think it's basically "Anything but China"
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改变对Soitec的看法建仓，看好CPO赛道和NVDA催化剂，认为有3倍空间
改变了对Soitec（$SLOIF）的看法，建了一个可观的仓位，成本约43美元，布局CPO（共封装光学）。 $NVDA下周GTC大会是推动光子学和这种架构的最大催化剂。 市值约15亿欧元，以1倍账面价值和约2倍市销率交易（估值非常低迷）。 在CPO的基板方面拥有真正的垄断地位（光子学通常享有很高的估值溢价，加上垄断地位更是额外溢价）。 算法交易员和分析师可能对市场份额感到困惑，但这家公司在SOI基板上实际上是垄断地位，因为他们授权给其他厂商如信越化学是为了多元化，例如$TSM不喜欢只有一家供应商。 我不认为机构会等到明年才提前布局像Soitec这样的名字，或者$TSEM（更不用说大多数人可能还没听说过$AXTI这样的名字）。 这个时机是在买入智能手机周期低迷阶段的可能底部，同时获得CPO在2027年中后期以及下周$NVDA GTC催化剂的全部上涨空间。 我个人认为从这里能有3倍的涨幅，所以我做多了。
原推 ↗英文原文
@tnglxn4 是 https://t.co/iBUxmlcYVj
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中美AI竞赛驱动半导体供应链全面增长，台积电、ASML数据验证繁荣。
不，继续全速前进。美国和中国两个国家正在竞速，看谁能先在递归自我改进中实现技术奇点。$TSM的财报显示大幅增长，供应链几乎未受干扰（如氦气）。$ASML显示创纪录的资本支出。OpenAI融资超过1200亿美元，因此蔓延恐慌至少还能再持续一年半。像Mythos这样的模型正以惊人的速度不断改进，从中国到美国，所有人都在抢购所有GPU来训练新模型并追赶。每个人都在抢购材料，供应链中那些以前很少使用的零件现在都有了来自AI的大幅增长机会。
原推 ↗英文原文
Nah, full steam ahead. Two nations in US/China are racing to see who can reach the singularity first in recursive self-improvement. $TSM earnings indicated massive growth + little disruption to supply chains (eg. helium). $ASML indicated record capex spending. OpenAI raised $120B+ so contagion fears are gone for another year and half. Models like Mythos keep improving at just astounding rates, and everyone from China to US are soaking up all the GPUs to train new models + catch up. Everyone is soaking up materials and little used parts in supply chains now have massive growth vectors from AI.
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在光子学超级周期中做多整条CPO/1.6T供应链，推荐SIVE/Shunsin/Win Semi/MRVL/HPS.A五只标的
在更广泛的光子学超级周期中，提前布局1.6T/共封装光学(CPO)对我来说是最具吸引力的投资。我对这个观点有很高的信心。这就是为什么我做多整条供应链（外加一个额外瓶颈）： 1. $SIVE - 他们的激光收入随着$JBL、$MRVL、Ayar、O-Net大幅增长。而且我确实认为CPO/1.6T将远超任何保守的分析师预期，因为$NVDA、$GOOGL等公司大力推动光子学架构。下行风险是多源采购，但Jabil选择Sivers是有原因的。当你比较$MTSI、$LITE、$COHR、古河电工等公司时，全球范围内真正强大的激光供应商屈指可数...它们的市值都超过100亿美元，然后你有这个类似小型芯片法案的瓶颈，市值还不到10亿美元。 2. Shunsin（6451）- 我不明白为什么Foxconn的光学代工厂（用于测试、封装和组装）的估值比$LWLG低15亿美元市值。考虑到他们通过Foxconn的光子学规模显得非常去风险化。$TSM的光学部门VisEra估值约50亿美元，但他们从第三代在2028年下半年才能扩大产能。Foxconn看起来明年就要开始提升产能。他们只是基于$NVDA CPO供应链在台湾的需求以低远期市盈率倍数增长，所有公开指标都指向产能扩张和极端需求。 3. Win Semi - 他们是Sivers扩大DFB激光生产的代工厂，以及$AVGO、SpaceX供应链等的代工厂。当我做供应链映射时，Win Semi在我看到的每个前沿供应链中都出现了。市场可能有一些东西没有定价。 4. $MRVL - 我觉得作为小型Broadcom真的很吸引人。他们今天与$GOOGL的潜在设计有助于2028年后的业务案例。但我关注的催化剂是$MSFT Maia的提升，发生时间是2026年下半年，并可能在2027、2028、2029年持续指数级增长。Celestial收购对他们来说可能是世界上最明智的决定。也许在下次回调或CSP时买入？ 5. $HPS.A - 变压器/开关设备是数据中心供应链中的商品和平淡的部件。然而，当瓶颈是2-5年，且订单积压增长超过100%...导致极端短缺时。自从我发帖以来只涨了20%以上，但我确实看到去风险化，考虑到大量订单积压的可见性（即使它是推断的，他们不给出确切数字）。我确实认为市场错过了一些东西，特别是如果他们成功实施价格上涨，潜在的毛利率扩张....同样，订单积压加需求只是为公司去风险，而且看起来像是去年设施扩张后的高增长复合器。 还有很多其他我非常喜欢的如$NBIS、$JBL、$RPI、$TSEM、$LITE、$ARM、$SOI、$AXTI、$IQE、$ALRIB、Fittech、PCL等，但我只是从脑海中随口提到5个从今天的价格...如果我要创建一个新投资组合。当然，与其他与AI供应链不相关的公司进行杠铃式配置是好的，但这些只是我喜欢的5个。
原推 ↗英文原文
Frontrunning 1.6T/CPO within the broader photonics supercycle is the most compelling investment to me. I have high conviction in that statement. Which is why I'm long the entire supply chain (+1 extra bottlenecK) 1. $SIVE - Their laser revenue scales aggressively with $JBL, $MRVL, Ayar, O-Net. And I do think CPO/1.6T will blow away any conservative analyst projections from how hard $NVDA, $GOOGL, and others have been pushing photonics architectures. Downside risk is multi-sourcing, but there's a reason Jabil chose Sivers. When you compare $MTSI, $LITE, $COHR, Furukawa, and others. There's genuinely not many laser suppliers in the entire world... they're all $10B+, then you have this mini CHIPS act chokepoint trading at <$1B MC. 2. Shunsin (6451) - I don't see how it's possible Foxconn's optical foundry for testing, packaging, and assembly is valued at $1.5B MC less than $LWLG. When they look extremely derisked piggybacking off of Foxconn's photonics volume. $TSM's optical arm VisEra example is ~$5B, but they scale H2 2028 from Gen-3. Foxconn looks to be ramping up just next year. They're just scaling low fwd p/e multiples off of $NVDA CPO supply chain demand in Taiwan and all public indicators point to capacity expansion + extreme demand. 3. Win Semi - They're the foundry for Sivers to scale up DFB laser production. As well as $AVGO, SpaceX supply chains and others. When I do supply chain mapping and Win Semi pops up in every single frontier supply chain I see. There's probably something markets are not pricing in. 4. $MRVL - I find this genuinely compelling as a mini-Broadcomm. Their potential design with with $GOOGL today, helps the case past 2028. But the catalyst I was looking at was $MSFT Maia ramp, which happens H2 2026, and likely keep scaling up exponentially into 2027, 2028, 2029. Celestial acquisition was probably the smartest thing in the world for them. Maybe on next drop or CSP? 5. $HPS.A - Transformers/Switchgears are commodities + boring parts of the DC supply chain. However, when the bottleneck is 2-5 years, and you have backlog increasing 100%+... causing extreme shortages. It's only up 20%+ since my thesis post, but I do see this being de-risked given massive backlog visibility (even though it's inferred, they don't give exact #). I do think markets are missing something, especially with potential gross margin expansion from price hikes if they pull it off.... Again backlog + demand just de-risks this company, and it seems like a high growth compounder post facility expansion last year. There's many others like $NBIS, $JBL, $RPI, $TSEM, $LITE, $ARM, $SOI, $AXTI, $IQE, $ALRIB, Fittech, PCL, and others that I'm very fond of, but just mentioning 5 off the top of my head from today's prices... if I'm creating a new portfolio. Of course, it's good to barbell with other uncorrelated companies to AI supply chains, but these are just 5 I liked.
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台湾/韩国/Foundry 受益面概览
简单给你个 TLDR，帮你省时间： 1. $ASML、$TSM 财报 = 前景不错。半导体 + capex 起飞。 2. Opus 4.7 + Anthropic 起飞。软件股就很惨。 3. 三星起飞，部分原因是 $TSLA 的 AI 芯片。 4. $UMC = 代工涨价。foundry 起飞。 5. 训练在中国起飞。H100 租赁价格上升，neocloud 也开心。 6. 氦气短缺 = 影响不大……我之前已经说过很多次了，但我不确定 $TSM 还要再说多少遍。 7. MLCC、电感价格 = 涨价。受益者我后面再展开。 8. “台湾的 OSAT 扩张可能会收紧全球测试产能并推高成本” 我最近做多了像 Shunsin（6451）这样的台湾 OSAT，有原因的。需求会继续跑赢供给，即使扩产也是一样。（cowos、sip、光学）
原推 ↗英文原文
Just some TLDRs to save you time: 1. $ASML, $TSM earnings = Good Outlook. Semis + capex go brrr. 2. Opus 4.7 + Anthropic go brrr. Software = sad. 3. Samsung go brrr because of partly bc of $TSLA AI Chips. 4. $UMC = price hike for foundry. foundries go brrr. 5. Training = brrr in China. H100 rental increase go up. Neoclouds happy. 6. Helium supply shortage = not significant... I've already said this before, but I'm not sure how many times $TSM needs to say this. 7. MLCC, inductor prices = price hike. Will cover beneficiaries later. 8. "Taiwan's OSAT expansion could tighten global test capacity and raise costs" I went long on Taiwan OSATs recently like Shunsin (6451) for a reason. Demand will just outstrip supply, even after expansion. (cowos, sip, optical).
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解释 Fittech 与 Shunsin、Win/Sivers 的供应链去向。
@KentTian Fittech 在 $TSM Coupe 生态里，Shunsin 是鸿海的光学封装。 Win / Sivers 是 $JBL、$MRVL，还有 Ayar（也许还有 AlChip 等）。 它们最终都会流向 hyperscaler，只是路径和终点不同。
原推 ↗英文原文
@KentTian Fittech is in $TSM Coupe ecosystem, Shunsin is Foxconn optical packaging. Win/Sivers is $JBL, $MRVL, and Ayar (maybe AlChip and others). They all end up to hyperscalers, just in different ways and different ones.
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认为 Enplas 的双瓶颈与客户结构很有意思。
Enplas（6961）在大约 9.85 亿美元市值时看起来挺有意思。 它们握着两个瓶颈： 1. MLA（微透镜阵列）的主导供应商。比如 SiPH switch、1.6T、3.2T 光子产品。 2. IC 测试 socket 的寡头供应商（AI 芯片测试） 手头现金大约 1.55 亿美元，没有债务。股东权益/资产比大约 89%（一般 50%+ 就算稳），所以我觉得下行风险很低。 而且它们推测的客户是： 1. 光子（MLA）：高度可能是 Innolight、Eoptolink、Furukawa、Intel（SiPh）。大概率还有 $COHR、$LITE。 2. GPU/ASIC（测试 socket）：大概率是 $TSM、ASE，以及这些类型用来测试 $NVDA GPU、$GOOGL TPU（Google Ironwood 很可能就是这个方向）。 “为主要 GPU 制造商以及 hyperscaler 的 ASIC 相关项目扩大量产订单。” 然后在 OFC： OFC： “我们将展示支持当今 AI 快速技术进步的 800Gbps 和 1.6Tbps 收发器以及 CPO（共封装光学）的新产品。” 本质上你得到的是一家同时服务一线半导体、晶圆厂和 hyperscaler 的公司，并且它能同时受益于 MLA 光子段带来的 1.6T，以及之后 OFC 产品带来的 CPO TAM 扩张。 这是我想分享的一笔持仓，因为它在不到 10 亿美元市值时就显得挺酷。
原推 ↗英文原文
Enplas (6961) at ~$985M seems kinda interesting. They hold two chokepoints: 1. Dominant supplier for MLAs (micro lens arrays). Eg. SiPH switches, 1.6T, 3.2T for photonics. 2. Oligopoly supplier for IC Test sockets (AI Chip Testing) Cash on hand: ~$155M, no debt. Equity-to-Asset Ratio: ~89% (50%+ usually is solid), so low downside risk imo. And their speculated customers: 1, Photonics (MLAs): Highly probable: Innolight, Eoptolink, Furukawa, Intel (SiPh). And prob $COHR, $LITE. 2. GPU/ASICs (Test Sockets): prob $TSM, ASE, types use these to likely test $NVDA GPUs, $GOOGL TPUs (Google Ironwood is highly probable). "expanding mass production orders for major GPU manufacturers, and for ASIC-related projects for hyperscalers." Then at OFC: OFC: “We will be showcasing our new products for 800Gbps and 1.6Tbps transceivers and CPO (Co-Packaged Optics) that support today’s rapid technological advancements in AI.” Basically you have a company that supplies T1 semis, foundries, hyperscalers, that benefits from 1.6T from MLA photonics segment + CPO TAM expansion later from OFC products. Was one my positions wanted to share my thoughts about since it seemed p cool at sub <$1B MC.
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回顾自己多次抢跑机构的 thesis 命中。
我不是早就告诉过你们，散户完全可以抢在机构前面吗，anon？？ -> 两个月后，Point72 正在高位猛烈买入 $IQE…… 在我那篇关于 latent InP reactor capacity + $LITE 供应商的 thesis 之后。 -> Apollo 真的把 NSG 买下来了，也就是我指出的 $TSM COUPE 玻璃供应商。 -> 我最近还找到了很多其他名字，比如 $SIVE，它是 $MRVL / $JBL 的激光供应商，而 Riber 是 $MSFT 的未知量子供应商（还借助了一位朋友）。 我就是喜欢把信息发现 / 综合整理民主化，先给散户，而不是卖给机构或者藏在 2 万美元以上的付费墙后面。 股票本来就是真正的正和游戏，散户这次终于能第一次领先。
原推 ↗英文原文
Didn’t I tell you all it’s possible retail can frontrun institutions anon?? -> Point72 is aggressively buying up $IQE 2 months later at ATHs... After my latent InP reactor capacity + $LITE supplier thesis post. -> Apollo literally bought out NSG, the $TSM COUPE glass provider I identified. -> And I've identified many others like $SIVE, the $MRVL / $JBL supplier to Riber the unknown quantum supplier to $MSFT (with the help of a friend) recently. I happen to like democratizing information discovery/synthesis to retail investors at the very beginning… Instead of selling analysis to institutions or behind $20000+ paywalls. Stocks are genuinely positive sum where retail can get the lead for the first time.
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感叹 TSEM 市值接近翻倍，并顺带提到台湾的 Win Semi。
@alexanderlee1 好日子啊……我还是不敢相信这还不到一个月？我做多的时候 $TSEM 才 130 亿市值，现在已经大约 230 亿，几乎翻倍了。 市场里总还有别的鱼。台湾那边的 Win Semi 也挺不错。不过是的，$TSM 和 $TSEM 的名字太像了。
原推 ↗英文原文
@alexanderlee1 Good times… still can’t believe it’s less than a month? $TSEM was only $13B MC when I went long. Now it’s ~$23B so close to doubling. There’s always more fish in the sea. Win Semi is pretty good over in Taiwan though. But yeah $TSM and $TSEM sound too similar
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复盘自己在对冲不利后仍有 759% YTD，并强调择股和催化时点的重要。
不，我在今天整体反弹之后，年初至今还是保守地涨了 759%。 对冲拖累太多了。 如果不是指数和很多个股，比如 $RDDT，在宏观压力下跌得太厉害，我本来会涨得更多。 但如果你挑的是像 $AAOI 或 $AEHR 这样的精选赢家…… 在超大规模客户供应链里： 结果就是，你真的有可能跑赢市场。 我确实觉得，找到每个行业里的关键玩家并且把催化时点踩准，比看上去更难。 比如 $TSEM 在我买入之前基本全年横盘，然后 3 周里反弹了 90%，所以时点也很重要（比如 OFC 公告）。 而且我在找到那个未知的 $TSM COUPE 玻璃衬底供应商之后，还因此得了 PTSD…… 结果他们没多久又被 Apollo 收购了。 所以也不是总能开心收场。 但如果我的想法帮助了别人跑赢指数，或者看清前沿行业的方向，那我还是很高兴的。
原推 ↗英文原文
No, I’m still at a conservative 759% YTD after today’s overall rally. Lost too much from hedging. Would probably be up more if indexes and many individual names like $RDDT weren’t so down from macro. But if you pick selective winners like $AAOI or $AEHR … in hyperscaler supply chains: Turns out it’s possible outperform markets? I do think it’s a tad harder than it looks finding important players in each sector and timing catalysts. $TSEM was basically flat the entire year until I bought, then it rallied 90% in 3 weeks, so timing important too (eg. OFC announcements). And I’ve developed PTSD after finding the unknown $TSM COUPE glass substrates supplier… Only to watch them get bought out by Apollo shortly after. So not always having a good time. But glad if my ideas helped others outperform indexes or see where frontier industries are heading to.
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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。
原推 ↗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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认为美国应先稳固盟友供应链，再统一武器化对抗中俄。
到底是谁在写这些东西？ 我们不需要对日本、欧洲或韩国这些盟友施加更多杠杆。 我们需要把杠杆用在俄罗斯和中国身上。 - 在东南亚，老挝超过 40% 的加油站已经关闭， - 柬埔寨和泰国已经开始限量和价格管制， - 印度、巴基斯坦和孟加拉都在面对价格上涨和紧急节约， - 韩国 / 日本仍然暴露在供应中断风险里。 中国现在完全可以从俄罗斯拿石油，而俄罗斯的出口管制还被解除了…… 而中国现在的做法就像一战时美国那样在做军火商。 为什么我们要为了帮助俄罗斯 / 以色列，反过来搞砸我们自己的供应链？ 他们之所以叫盟友是有原因的，我们不需要再对他们施加更多杠杆。 如果你真想把这套东西武器化： -> 先确保自己的供应链，先把资金投到越南 / 南美等地的稀土和前驱材料上 -> 再把资金投到韩国 / 日本 / 加拿大 / 美国的精炼加工上 -> 先在委内瑞拉开发原油 / 加工能力 -> 再建立替代贸易路线： 这至少要 3-5 年。 然后你才可以去轰炸什么、去威胁欧洲的 $ASML、日本的 $ARM、美国的 $NVDA、台湾的 $TSM 这类对中国 / 俄罗斯的瓶颈。 总之： 美国优先依赖于： - 在泰国做好自身组装供应链， - 在韩国做好半导体， - 在日本做好化工， - 在台湾做好晶圆代工， - 在加拿大做好稀土， - 在欧洲做好高端设备， 还有其他环节，来让美国更强。 然后再把这一切统一武器化去对付我们的敌人。 你不能一边把我们自己的供应链和全球关系全炸了，一边又说美国正在变得更强大吧？
原推 ↗英文原文
Who is even writing this? We don't need more leverage over our allies like Japan, Europe, or South Korea. We need them over Russia and China. - In SEA over 40% of gas stations in Laos have closed, - Cambodia and Thailand have started rationing and price controls - India, Pakistan and Bangladesh face rising prices and emergency conservation - SK/Japan remain exposed to disruptions. China can get just get their oil from Russia. And Russia got their export control removed... And China is playing arms dealer like what US did in WW1 right now. Why are we screwing over our own supply chains to help Russia/Israel out? They're called allies for a reason, and we don't need more leverage over them. If you really wanted to weaponize this: -> Secure supply chains first, pour funding into rare earths/precursors like Vietnam/South America and other places. -> Pour funding into refinery processing from SK/Japan/Canada/US -> Develop crude/processing in Venezuela First -> Build out alternative trade route: Which will take 3-5 years min. Then you can go blowing stuff up then go threatening European $ASML, Japanese $ARM, US $NVDA, Taiwan $TSM type chokepoints over China/Russia all together. Again: America First relies on: -securing own supply chains in Assembly Thailand, -Semiconductors in South Korea, -Chemical from Japan, -Foundries in Taiwan, -Rare Earths from Canada, - high-end equipment from Europe and others to make United States stronger. Then you weaponize that all together against our enemies. You can't just blow OUR OWN SUPPLY CHAINS and Relations around the world up then say America is becoming more dominant?
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回顾自己两年回报超过 5000%，并列出押中的多个产业链主题。
我刚刚意识到……上周我的回报已经到了 5,118.02%。 不到 2 年，5000%+ 还不错吧？ 即使考虑到通胀，现在 5 美元长三明治都在涨价，也挺难跟上。 我前面抢跑的主要方向包括： -> $MSTR 用来博减半 -> $RKLB 和 $HOOD 用来博太空 / 金融科技行情 -> $GOOGL 和 $TSM 用来博大盘科技行情 -> 三星、SK 海力士、亚洲股票，用来博存储 -> $LITE、$AXTI 和 $COHR，用来博 EML / 光子学 -> $SOI、$SIVE、$AEHR、$TSEM、Win，用来博 CW / SiPh / CPO 中间也有一些副业，比如委内瑞拉自然资源公司和无人机（结果没那么好）。 不过总体来说，我对市场接下来会发生什么的判断还算不错。 而且我确实认为光子学扩产会是下一波，尤其是聚焦 CW 激光公司、衬底、测试和晶圆代工。
原推 ↗英文原文
I just realized… hit 5,118.02% returns last week. 5000%+ not too bad in <2 years? Hard to keep up with $5 footlong sandwich inflation even after front running: -> $MSTR for halving -> $RKLB and $HOOD for space/fintech rally -> $GOOGL and $TSM for large cap rally -> Samsung, SK Hynix, Asian equities for memory -> $LITE, $AXTI, and $COHR for EML/photonics -> $SOI, $SIVE, $AEHR, $TSEM, Win for CW/SiPH/CPO. Some side quests here and there with Venezuelan natural resource companies and drones (that didn’t turn out as well). But generally market read has been decent so far on what’s coming next. And I do think scale up photonics is next, especially focusing on CW laser companies, substrates, testing and foundries.
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整理Mirae Asset的CPO价值链全图，涵盖激光源到EDA各环节上市公司
来自Mirae Asset的CPO价值链概览： 激光源： Coherent < $COHR > Lumentum < $LITE > Furukawa Electric (TYO: 5801) Yuanjie Semiconductor (SHA: 688498) Innolight Technology / 中际旭创 (SZSE: 300308) PIC代工： TSMC < $TSM > GlobalFoundries $GFS Samsung Electronics (KRX: 005930) Tower Semiconductor < $TSEM > EIC、驱动IC： Broadcom < $AVGO > Marvell < $MRVL > NVIDIA < $NVDA > ELS、光引擎： Innolight / 中际旭创 (SZSE: 300308) TFC / 苏州天孚光通信 (SZSE: 300394) O-Net Technologies Eoptolink Technology (SZSE: 300502) FAU（光纤阵列单元）： Senko Advanced Components（私企） Sumitomo Electric (TYO: 5802) TFC (SZSE: 300394) FOCI Fiber Optic Communications (TWO: 3363) FAU、对准工具： ficonTEC（私企） All Ring Tech (TWO: 6187) ADST（私企） FAU、引擎组装： Fabrinet < $FN > Hon Hai / Foxconn (TWSE: 2317) ASE Technology < $ASX > FOCI (TWO: 3363) OSAT、先进封装： ASE Technology < $ASX > Amkor < $AMKR > Kyocera (TYO: 6971) Powertech / PTI (TWSE: 6239) Shinko Electric (TYO: 6967) Fabrinet < $FN > 连接器、套管： Senko Advanced Components（私企） Sumitomo Electric (TYO: 5802) US Conec（私企） T&S Communications (SZSE: 300570) Molex（私企） Browave (TWO: 3163) 光纤： Corning < $GLW > Sumitomo Electric (TYO: 5802) Nittobo / 日东纺绩 (TYO: 3110) 电/光测试： Keysight < $KEYS > Teradyne < $TER > FormFactor < $FORM > Chroma ATE (TWSE: 2360) Multilane（私企） 交换、系统： NVIDIA < $NVDA > Broadcom < $AVGO > Marvell < $MRVL > Google < $GOOGL > EDA： Synopsys < $SNPS > Cadence < $CDNS > Ansys < $ANSS > 对这些名单中的一些名称感到困惑，他们可能混淆了一些公司，比如把Innolight和激光源公司（如$MTSI、Sumitomo、$SIVE、Luxnet）与实际终端模块混在一起了（除非有什么非公开材料或者我遗漏了）。 但对于对这个领域感兴趣的人来说，这是一个很好的高层概览。 （该推文引用了 @aleabitoreddit 的推文，引用内容仅供理解语境）: CPO领域Mirae分析师笔记： 规模化方向： CPO ASIC：$AVGO、$MRVL 光收发器：$COHR、$LITE、中际旭创 DSP/PAM4：$AVGO、$MRVL 相干DCI：$CIEN、$NOK OCS设备：iPronics、Polatis 光缆/光纤：$GLW、Prysmian、Furukawa HCF：$LITE、OFS DCI相干：Ciena、Nokia、Huawei 光放大器：$LITE、$COHR OCS网关：KDDI 规模提升方向： SiPh代工：imec、$GFS、$TSM SiPh调制器：$NVDA（内部MRM）、$INTC ELS：NTT、Furukawa、$LITE、$COHR 太赫兹互连：研发阶段？ CPO测试："新玩家进入增加" 微透镜/光学系统："新玩家进入增加" TLDR：规模提升的CPO即将到来。我认为分析师笔记遗漏了一堆上游公司名称，并把ELS和光源混为一谈了。 但对于了解他们认为谁是领先玩家来说，这是个很好的高层概览。
原推 ↗英文原文
CPO Value Chain Summary from Mirae Asset: Laser Source: Coherent < $COHR > Lumentum < $LITE > Furukawa Electric (TYO: 5801) Yuanjie Semiconductor (SHA: 688498) Innolight Technology / Zhongji Innolight (SZSE: 300308) PIC Foundry: TSMC < $TSM > GlobalFoundries $GFS Samsung Electronics (KRX: 005930) Tower Semiconductor < $TSEM> EIC, Driver IC: Broadcom < $AVGO > Marvell < $MRVL > NVIDIA < $NVDA > ELS, Optical Engine Innolight / Zhongji Innolight (SZSE: 300308) TFC / Suzhou TFC Optical Communication (SZSE: 300394) O-Net Technologies Eoptolink Technology (SZSE: 300502) FAU (Fiber Array Unit): Senko Advanced Components (Private) Sumitomo Electric (TYO: 5802) TFC (SZSE: 300394) FOCI Fiber Optic Communications (TWO: 3363) FAU, Align Tools: ficonTEC (Private) All Ring Tech (TWO: 6187) ADST (Private) FAU, Engine Assembly: Fabrinet < $FN > Hon Hai / Foxconn (TWSE: 2317) ASE Technology < $ASX > FOCI (TWO: 3363) OSAT, Advanced Packaging: ASE Technology < $ASX > Amkor < $AMKR > Kyocera (TYO: 6971) Powertech / PTI (TWSE: 6239) Shinko Electric (TYO: 6967) Fabrinet < $FN > Connector, Ferrule: Senko Advanced Components (Private) Sumitomo Electric (TYO: 5802) US Conec (Private) T&S Communications (SZSE: 300570) Molex (Private) Browave (TWO: 3163) Fiber: Corning < $GLW > Sumitomo Electric (TYO: 5802) Nittobo / Nitto Boseki (TYO: 3110) E/O Testing: Keysight < $KEYS > Teradyne < $TER > FormFactor < $FORM > Chroma ATE (TWSE: 2360) Multilane (Private) Switch, System: NVIDIA < $NVDA > Broadcom < $AVGO > Marvell < $MRVL > Google < $GOOGL> EDA: Synopsys < $SNPS > Cadence < $CDNS > Ansys < $ANSS > Confused by some of names of the list, they might have conflated a few names like Innolight with laser source like $MTSI, Sumitomo, $SIVE, Luxnet, with the actual end module (unless there's something that's not public material or I missed)? But just for people interested in the landscape, this is a good high-level overview.
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博主分享其对AI供应链瓶颈轮动的精准判断，从存储到光子学再到CPO/ELS，并引用研报分析AI投资超级周期的瓶颈解决序列和CPO商业化拐点
我认为我精准把握了机构层面的瓶颈轮动。 -> 在存储股的上涨尾声捕捉到了 $SNDK、三星、SK海力士、$MU -> 在光子学领域领先机构布局了 $AAOI、$AXTI、$LITE、$COHR -> 现在再次行动，大量加仓SiPh、ELS和CPO：$SIVE、$TSEM、$SOI、$AEHR、Win Semi以及其他 当然如果你想稳健操作： $MRVL（产能自用）、$AVGO（产能自用）、$TSM和$NOK也都有涉及，但他们是更大的玩家。直接曝险下一个超级周期才是理想的。 我仍然认为从存储到EML光收发器的增长空间巨大，但最大的繁荣出现在新架构周期起点/拐点处。 除了宏观因素干扰了一些交易外，预计资本将很快轮动到CPO/ELS供应链。 券商研报的摘要：AI基础设施投资超级周期遵循严格的"瓶颈解决"序列： 算力/GPU（2023）-> 存储/HBM（2024）-> 互联/网络（2025+） 翻译： "我们判断AI价值链的第三轮投资周期已正式启动。继GPU（2023）和HBM（2024）之后，2025年后，光互联将成为增长最快的核心环节。 2027-2028年将是关键拐点，CPO商业化、1.6T标准化和Scale-Up光互联将形成共振，结构性扩大相关行业TAM。" 一些要点： 1. CPO（共封装光学）正从实验室走向商业化量产 2. 2027-2028年是重大结构性拐点（现在在2026年提前布局是个好主意，从测试端$AEHR到ELS端$SIVE或封装端$POET） 3. 光学部件、材料和测试设备的市场总规模（TAM）预计将结构性扩大3到5倍（我认为这还是保守估计）。
原推 ↗英文原文
I think I nailed the institutional bottleneck rotation. -> Caught the tail end of memory name rise with $SNDK, Samsung, SK Hynix, $MU -> Frontran institutions with photonics with names like $AAOI, $AXTI $LITE, $COHR. -> Doing it again now by adding heavily toward SiPh, ELS, and CPO: $SIVE, $TSEM, $SOI, $AEHR, Win Semi, and others. Of course if you want to play it safe: $MRVL (captive), $AVGO (captive), $TSM, and $NOK all do it as well, but they're larger players. And getting direct exposure to the next supercycle is ideal. I still think there's tons of room to grow for memory to EML optical transceivers, but the largest boom is at the start/inflection point of a new architectural cycle. Macro messing up some trades aside, expecting capital rotation soon toward CPO / ELS supply chains. TLDR from analyst note: The AI infrastructure investment supercycle follows a strict "bottleneck resolution" sequence: Compute/GPUs (2023) -> Memory/HBM (2024) -> Interconnect/Networking (2025+). Translation: "We judge that the third investment cycle of the AI value chain has officially begun. Following GPUs (2023) and HBM (2024), post-2025, optical interconnects will become the fastest-growing core segment. 2027–2028 will be a critical inflection point where CPO commercialization. 1.6T standardization, and Scale-Up optical transitions align, structurally expanding the TAM of related industries" Some takeaways: 1. CPO (Co-Packaged Optics) is moving from the lab to commercial mass production 2. 2027-2028 is the major structural inflection point (good idea to frontrun this now in 2026 from testing with $AEHR to ELS with $SIVE or packaging with $POET). 3. The Total Addressable Market (TAM) for optical components, materials, and testing equipment is expected to structurally expand 3x to 5x (I think this is sandbagging a bit).
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Mirae分析师梳理CPO产业格局，作者认为遗漏上游公司但框架有参考价值
CPO产业格局 Mirae分析师笔记： 横向扩展： CPO ASIC：$AVGO、$MRVL 光收发器：$COHR、$LITE、Innolight DSP/PAM4：$AVGO、$MRVL 相干DCI：$CIEN、$NOK OCS设备：iPronics、Polatis 光缆/光纤：$GLW、Prysmian、Furukawa HCF：$LITE、OFS DCI相干：Ciena、Nokia、Huawei 光放大器：$LITE、$COHR OCS网关：KDDI 纵向扩展： SiPh代工：imec、$GFS、$TSM SiPh调制器：$NVDA（内部MRM）、$INTC ELS：NTT、Furukawa、$LITE、$COHR 太赫兹互联：研发阶段？ CPO测试：「新玩家不断进入」 微透镜/光学系统：「新玩家不断进入」 总结：纵向扩展的CPO即将到来。认为分析师笔记遗漏了一些上游公司名字，并将ELS与光源混为一谈。 但作为高层视角，能看到他们认为的领先玩家还是有参考价值的。
原推 ↗英文原文
CPO Landscape Mirae Analyst Note: Scale-Across: CPO ASIC: $AVGO, $MRVL Optical Transceiver: $COHR, $LITE, Innolight DSP/PAM4: $AVGO, $MRVL Coherent DCI: $CIEN, $NOK OCS Equipment: iPronics, Polatis Optical Cable / Fiber: $GLW, Prysmian, Furukawa HCF: $LITE, OFS DCI Coherent: Ciena, Nokia, Huawei Optical Amplifier: $LITE, $COHR OCS Gateway: KDDI Scale-Up: SiPh Foundry: imec, $GFS, $TSM SiPh Modulator: $NVDA (in-house MRM), $INTC ELS: NTT, Furukawa, $LITE, $COHR THz Interconnect: R&D Stage? CPO Test: "Expanding entry of new players" Micro Lens / Optical Systems: "Expanding entry of new players" TLDR: Scale Up CPO is coming next. Think the analyst note missed a bunch of upstream names and conflated ELS with light source. But it's helpful to see who they think the leading players are as a very high-level view.
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看多稳懋3105：位于LEO卫星/光学/人形机器人三大高增长领域垄断瓶颈点，战略价值被市场低估。
我在稳懋（Win Semi）(3105.TWO) 4.1B市值时做多。我认为市场忽略了这家全球最重要的晶圆厂之一（在台积电$TSM之外）。我认为他们的战略定位远超40亿美元市值。他们几乎位于所有主要瓶颈点：-> SpaceX Starlink 低轨卫星供应链。-> 作为$AVGO、$LITE、$MTSI、$SIVE的磷化铟(InP)光学收发器晶圆厂。-> 作为人形机器人的身体/眼睛，是用于飞行时间(TOF)激光器的砷化镓(GaAs)晶圆厂，可能用于Boston Dynamic Atlas。-> 来自之前与联发科(MediaTek)/高通(Qualcomm)/$AAPL的业务遗留。但稳懋似乎受到legacy业务的拖累（如$SOI），光学是其最大增长向量之一。然后...稳懋拥有几乎任何晶圆厂中最大的TAM扩张/收入加速：随着：LEO、人形机器人/连续波(CW)激光、800g、1.6t、3.2t光学收发器在未来几年大幅增长。特别是博通(Broadcom)作为其锚定客户（$AVGO持有约5%的稳懋股份）。$NVDA不在乎谁制造激光器，无论是$LITE还是$COHR。他们只在乎是否有足够的供应。供应不够。-> CW激光需求可能呈抛物线增长。（他们制造像$SIVE设计的激光器）-> LEO卫星需求（SpaceX Starlink）可能呈抛物线增长。-> 人形机器人需求可能呈抛物线增长。因为稳懋位于三个最前沿和增长最快行业的半垄断瓶颈点：光子学/AI、机器人/人形机器人和太空。特别是光学TAM爆发：稳懋2027年远期收益大约在35倍范围，我认为这是保守估计，远期估值最终会非常便宜。稳懋将大大受益于TAM扩张和加速的收入增长。当然：稳懋会赢。所以我做多稳懋。
原推 ↗英文原文
I am long Win Semi (3105.TWO) at $4.1B MC. I believe markets are sleeping on of the most important foundries in the world (aside from $TSM). IMO their strategic positioning exceeds far beyond $4B MC. They sit in almost every major chokepoints: -> In the SpaceX Starlink LEO supply chain. -> As $AVGO, $LITE, $MTSI, $SIVE InP foundries for optical transceivers -> then as the body/eyes of humanoids as the GaAs foundry for TOF lasers possibly mapping to Boston Dynamic Atlas -> With legacy from MediaTek / Qualcomm / $AAPL from their previous business. But Win appears to be bottom of the legacy drag (like with $SOI), with optical as one of their largest growth vectors. Then... Win has the largest TAM expansion/revenue acceleration out of almost any foundry: With: LEO, humanoids / CW laser, 800g, 1.6t, 3.2t optical transceiver massive ramp up over the next few years. Especially with Broadcom as their anchor client ( $AVGO owns ~5% of Win). $NVDA doesn't care who makes the lasers, whether it's $LITE or $COHR. They just care if there's enough. There's not enough. -> Demand for CW lasers will likely go parabolic. (they make the lasers that companies like $SIVE designs) -> Demand for LEO satellites (SpaceX Starlink) will likely go parabolic. -> Demand for humanoids will likely go parabolic. As, Win Semi sits as a semi-monopoly chokepoint in the three most frontier and fastest growing industries for photonics/AI, robotics/humanoids, and space. Especially with Optical TAM explosion: Win fwd earnings for 2027 roughly in ~35x range, I do think this is sandbagging it and forward multiples will end up dirt cheap. Win will largely benefit from TAM expansion and accelerated revenue growth. Of course: Win will win. So I am long Win.
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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。
原推 ↗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 SOI 可能供应 HIMX->TSM 链条，并在混合树脂上几乎垄断。
@zephyr_z9 这其实不太是资产负债表的问题。 他们更可能是 $HIMX -> $TSM COUPE 链条的供应商，而且在 WLO 所需的混合树脂上几乎形成了半垄断。
原推 ↗英文原文
@zephyr_z9 Not really about the balance sheet per say. They're the likely supplier to $HIMX -> $TSM COUPE, and had a semi-monopoly over hybrid resins needed for WLO
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调侃自己一发潜在 TSM 上游供应商，Apollo 一小时后就收购。
老实说，如果我在订阅者聊天里发了某个潜在 $TSM 上游供应商的分析， 然后 Apollo < $APO > 一小时后就把这家公司收购了。 那我大概是做对了什么吧？ https://t.co/27DuGXbwQN
原推 ↗英文原文
Honestly if I post something in my subscriber chat regarding potential $TSM upstream suppliers, Then Apollo < $APO > acquires the company 1 hour later. I'm probably doing something right? https://t.co/27DuGXbwQN
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转述一篇关于 TSM 与 INTC 的文章，提到台积电在光收发器制造上落后于英特尔。
@RenoHemonc 这是几年前的事了……出自一篇关于 $TSM 和 $INTC 的 SemiAnalysis 文章。 “TSMC 也参与了光收发器的制造，但它们的技术被认为落后于英特尔。” https://t.co/RYPfEFZ5rV
原推 ↗英文原文
@RenoHemonc This was a few years ago… from a semianalysis piece on $TSM vs $INTC “TSMC operates in manufacturing of both optical transceivers, but their technology is considered to be behind Intel’s” https://t.co/RYPfEFZ5rV
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回应外界质疑，强调自己分享的是想法与回报，不需要靠炫富来证明。
谢谢你替我说话。去年我只有几百个关注者、发出 600%+ 收益时，大家都还挺支持的。 现在我有 10 万+ 关注后，反而多了无尽的嫉妒，或者一些莫名其妙的评论，比如： - “除非他们晒净资产，不然就是拿 2000 美元在交易”： 我不需要像其他网红那样发跑车或名表来证明自己是个好交易员。对我来说，最重要的是想法，而收益率已经证明了这些想法在市场里是对的。 - “拉盘砸盘”：几乎每只我持有的股票都保住了涨幅，比如 $AXTI 都涨了 500%+？我大部分收益其实还没兑现。 我从开始发帖以来，自己点名过的高信念标的，几乎都是绿的：$NBIS、$CRCL、$TSM、$RKLB、$HOOD、$ALAB、$CRDO。 也有一些新的，比如 $RDDT，但它现在也只回撤了大概 6-8%，还需要时间兑现。 还有一些更小的标的，比如 $LPTH 或 $VLN，虽然还没兑现，但从发帖以来也就跌了大约 10% 左右，具体取决于进场点，并不是因为它们基本面不好就直接崩掉。 我发的是几十只股票，所以拿其中几只还没跑出来的来代表我全部做过的东西，这真的很荒谬。如果你把所有标的等权平均，你会发现整体还是很绿的。 - “偷票”：很多这些股票都已经存在很多年了，过去也有成千上万的人做多过。 市场之所以对它们反应不同，是因为我在帖子里做了新的信息整合，或者我把它和一个别人没想到的催化剂联系了起来。 以前有人说他们先发现了 $OSS，但它之所以上涨，是因为我把它和委内瑞拉入侵联系起来了（这才是新的）。只是说一句“边缘 AI，看多 $OSS”其实什么都不说明。 以前有人说他们先发现了 $RPI，但它上涨的原因，是因为我第一个把它和 OpenClaw 的投资逻辑联系在一起（这才是新的）。光说“树莓派适合个人使用”也没什么意义。 例子还有很多，比如 $SOI、$SIVE，或者其他任何股票。 我也没说我是第一个发现 $TSEM 或 $NBIS 之类的人，那些本来就是大家都知道的光子代工厂或者 neocloud，我个人只是喜欢，也愿意跟着上车。 别人想怎么说都行，但市场才是真相的最终裁判。
原推 ↗英文原文
Thanks for coming to my defense. Last year when I posted 600%+ gains with a few hundred followers, everyone was supportive. Now that I have 100k+ followers, there's endless jealously or random comments like: - "Only trading with $2K unless they show net worth": I don't need to post lambos/fancy watches like other influencers to prove I'm a good trader. My opinion is ideas what matters the most, and the % return validates that they're correct in the market. - "Pump and Dump": Almost every stock held their gains like $AXTI is up 500%+? Most of my returns are unrealized. Every high conviction stock I've named over time since starting is green: $NBIS, $CRCL, $TSM, $RKLB, $HOOD, $ALAB, $CRDO. There's new ones like $RDDT but that's only down ~6-8% and needs time to play out. There's other smaller picks $LPTH or $VLN that haven't but they're only down like 10% from posting or more depending on entry point and don't just crash because they're all fundamentally good picks. I post tens of stocks, so cherry picking a few that haven't played out yet to represent everything I've done is just ridiculous. If people just take the equal weighted average of everything they're way green. - "Stealing Picks": Many of these stocks have been around for years. Thousands of different people have been long at one point in time. The reason markets react differently is I either bring novel information synthesis to a post, or I time it with a catalyst others don't. People were claiming they found $OSS first, but the reason it went up from $6 was because I linked it to Venezulea's invasion (which was novel). Just saying "edge AI, go long on $OSS doesn't mean anything". People were claiming they found $RPI first, but the reason it went up was because I was the first to link it OpenClaw as an investment thesis (which was novel). People claiming "raspberry pi for personal use doesn't mean anything". List goes on and on with $SOI or $SIVE or any other stock. I'm not claiming I'm the first either to stuff like $TSEM or $NBIS either, that's already a well known photonics foundry or neocloud, I personally just liked it and wanted to hop ont he bandwagon. People can say anything they want but markets are the final arbiter of truth.
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展示CPO/光子学ETF模拟仓YTD表现，等权重投资收益率50%，看好光子学长周期。
Serenity的Silicon Photonics / CPO ETF模拟仓。各成分股年初至今收益率：$IQE：+282.5%，$AXTI：+246.6%，Landmark：167.54%，$AAOI：+157.37%，$SIVE：+113.08%，$SOI：+103.54%，$LITE：+100.27%，$LWLG：+92.35%，$VIAV：+88.71%，$AIXA：+73.92%，$AEHR：+70.4%，$CIEN：+67.67%，$FORM：+60.67%，$FOCI：+60.44%，$CAMT：+49.13%，$GLW：+46.77%，$SMHN：+45.94%，Fujikura：+43.89%，$COHR：+41.81%，$KEYS：+40.48%，$TSEM：+36.42%，$ASX：+29.89%，$MTSI：+28.34%，$NOK：+27.5%，Shin-Etsu：+27.33%，$ONTO：+26.28%，$BESI：+24.71%，$UMC：+18.11%，$INTC：+17.27%，$OXINF：+15.03%，$FN：+12.79%，Eoptolink：+11.82%，$TSM：+6.00%，$HIMX：+5.39%，$SMTC：+4.11%，Sumitomo：+3.67%，$CSCO：+3.25%，Innolight：+0.33%，$MRVL：+0.16%，$APH：-6.48%，$MXL：-7.62%，$AVGO：-7.99%，$POET：-12.99%，$TEL：-14.93%。这是回顾性的，但你们知道我在很多赢家仓位已经持有一段时间了（例如前六/七名，除了Landmark外的$AXTI或$LITE）。但如果你好奇年初投资整个光子学趋势的话，等权重收益率是多少？50.033%。我预计光子学长周期(supercycle)将持续未来数年，这些名字中的许多将成为未来的大受益者。特别是随着共封装光学(CPO)被用于扩展AI部署。光子学是AI的新架构范式。
原推 ↗英文原文
The Serenity Silicon Photonics / CPO ETF. YTD Returns of Each Index Stock: $IQE: +282.5% $AXTI: +246.6% Landmark: 167.54% $AAOI: +157.37% $SIVE: +113.08% $SOI: +103.54% $LITE: +100.27% $LWLG: +92.35% $VIAV: +88.71% $AIXA: +73.92% $AEHR: +70.4% $CIEN: +67.67% $FORM: +60.67% $FOCI: +60.44% $CAMT: +49.13% $GLW: +46.77% $SMHN: +45.94% Fujikura: +43.89% $COHR: +41.81% $KEYS: +40.48% $TSEM: +36.42% $ASX: +29.89% $MTSI: +28.34% $NOK: +27.5% Shin-Etsu: +27.33% $ONTO: +26.28% $BESI: +24.71% $UMC: +18.11% $INTC: +17.27% $OXINF: 15.03% $FN: +12.79% Eoptolink: +11.82% $TSM: +6.00% $HIMX: +5.39% $SMTC: +4.11% Sumitomo: +3.67% $CSCO: +3.25% Innolight: +.33% $MRVL: +.16% $APH: -6.48% $MXL: -7.62% $AVGO: -7.99% $POET: -12.99% $TEL: -14.93% This is retrospectively, but as you've known I've been in a lot of the winners for awhile (eg. Top 6/7 like $AXTI or $LITE aside from Landmark). However, if you were curious if you invested in the photonics trend as a whole at the start of the year. The equal weighted return? 50.033% I expect the Photonic Supercycle to last over the next several years, and many of these names to be large beneficaries going forward. Especially as CPO is used to scale AI deployments. Photonics is the new architectural paradigm for AI.
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惊讶于 TSEM 像 TSM 一样稳步上涨，却一天能涨 17%。
对不起大家…… 我原以为 $TSEM 会像 $TSM 一样稳稳地长期复利。 结果它一天涨 17%？ https://t.co/QXWW7cgIXP
原推 ↗英文原文
I’m sorry everyone… I thought $TSEM was a steady compounder over time like $TSM but it’s going up 17% a day? https://t.co/QXWW7cgIXP
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分析光通信供应链中不同规模公司的上涨潜力，从大型成熟公司到细分领域纯业务公司
三件事： 1/ 通常，市值越小，上涨空间越大（但风险也更高） 2/ 寻找那些未被定价进当前可插拔光模块周期的公司（EML光收发器公司如$LITE和$COHR） 3/ 纯业务布局即将到来的CPO/硅光子学范式转换。 说到追求“最高上涨空间”： 如果你看$MRVL的Celestial产品线对比$TSM的COUPE，两者都是大体量公司，而这只是它们营收的一小部分。所以这很可能被排除，除非交易员使用期权。 像$SOI的SOI衬底这类产品会对营收产生更实质性的影响（更高的上涨空间）。 然后还有像上游激光供应商$SIVE -> $POET -> $MRVL Celestial -> 超大规模云厂商供应链这样的环节，我已识别为高潜力受益者。 但像$AAOI这样的公司在800G/1.6T可插拔光模块周期中仍有巨大的上涨空间。 我相信市场上有许多被错误定价或未知的投资机会…… CPO规模化应用的TAM（总可寻址市场）像是垂直上升的，但像$SIVE这样的产品用于规模化应用的光源和激光阵列。
原推 ↗英文原文
Three things: 1/ Generally, the lower the marketcap, the higher the upside (but more risk) 2/ Finding companies that weren’t priced into current pluggable cycles (EMl-transceiver companies like $LITE and $COHR) 3/ Pure play to the upcoming cpo/silicon photonics paradigm shift. In terms of chasing “highest upside”: If you look at $MRVL Celestial to $TSM COUPE they’re both already massive companies. And it’s just a fraction of their revenue. So that’s likely excluded unless traders use options. Stuff like SOI substrates for $SOI will make a more material difference toward revenue (higher upside). Then others like upstream laser supplier $SIVE to ->$POET -> $MRVL Celestial -> hyperscaler supply chains, I’ve identified as a high potential beneficiary. But there’s still a massive upside for companies like $AAOI in the 800g/1.6T pluggable cycle. I’m sure there’s a lot of mispriced or unknown opportunites out there… as The TAM for cpo scale up is like a vertical like up, but things like $SIVE are used for light sources in scale up and laser arrays for scale up.
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发布CPO供应链全景图，预测明年CPO拐点，建议从EML瓶颈轮动至SiPh架构赢家。
即将发布的共封装光学(CPO)/硅光子学(Silicon Photonics)瓶颈速查表： $SIVE、Sumitomo、$LITE、$COHR、$AVGO、$MTSI、$AAOI - 光源（连续波分布式反馈激光器CW DFB Lasers） $TSEM、$GFS、$UMC、$TSM、$INTC - 硅光子学 foundry代工 $NOK、$CIEN、$CSCO、$COHR - DCO相干数字信号处理 $HIMX、FOCI (3363.TWO) - 微透镜+光纤阵列 $POET - 光学中介层(Optical Interposers) $SOI、$AXTI、Shin-Etsu - 衬底 $FN、$ASX、Innolight、Eoptolink - 光学封装与组装 $MTSI、$SMTC、$MRVL、$MXL - 模拟/混合信号集成电路 $LWLG - 投机性调制器材料 $GLW、$APH、$TEL、$FIT、Fujikura - 连接器和光纤 $FORM、$KEYS、$VIAV、$AEHR - 测试与测量 $BESI、$SMHN、$ONTO、$CAMT - 先进封装与混合键合(Hybrid Bonding) 其中许多是私营公司，如Lightmatter、Ayar、Ranovus等。 现在……每个人都在问……如何获利？ 如果你看CPO总可用市场(TAM)预测，它是一条直线上升，明年是CPO大规模部署的拐点。 阿尔法收益来自捕捉轮动： 从当前电吸收调制激光器(EML)瓶颈（$LITE、$COHR类型）到CPO的硅光子学/连续波分布式反馈激光器架构赢家。 最高上涨潜力的公司是那些不在当前周期内、但在下个周期内的公司。 $SOI、$SIVE或$AEHR就是完美例证。 搭乘当前可插拔(pluggable)瓶颈，如$AAOI。 但真正的阿尔法收益来自抢先机构布局下一波CPO瓶颈。 资本轮动不可避免。
原推 ↗英文原文
The upcoming CPO / Silicon Photonics Bottleneck Cheat Sheet: $SIVE, Sumitomo, $LITE, $COHR, $AVGO, $MTSI, $AAOI - Light Source (CW DFB Lasers) $TSEM, $GFS, $UMC, $TSM, $INTC - SiPh foundry $NOK, $CIEN, $CSCO, $COHR - DCO $HIMX, FOCI (3363.TWO) - Micro-lens + Fiber Arrays $POET - Optical Interposers $SOI, $AXTI, Shin-Etsu - Substrates $FN, $ASX, Innolight, Eoptolink - Optical Packaging and Assembly $MTSI, $SMTC, $MRVL, $MXL - Analog/Mixed-Signal ICs $LWLG - Speculative Modulator Materials. $GLW, $APH, $TEL, $FIT, Fujikura - Connectors and Fibers $FORM, $KEYS, $VIAV, $AEHR- Test & Measurement $BESI, $SMHN, $ONTO, $CAMT - Advanced Packaging & Hybrid Bonding Many are private companies from Lightmatter, Ayar, Ranovus and others. Now... Everyone is asking... How do you profit? If you look at the forecast for CPO TAM, it's a straight line up, and next year is inflection point for CPO mass deployment. The alpha is capturing the rotation: From the current EML bottlenecks ( $LITE, $COHR type) to SiPh / CW DFB architectural winners for CPO. Highest upside potential are the ones that aren't included in current cycles. But that are in the next. Companies like $SOI, $SIVE, or $AEHR are perfect examples. Ride the current pluggable bottleneck like $AAOI. But the alpha is frontrunning institutions with the next CPO bottleneck. The capital rotation is inevitable.
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强调独立研究的重要性，指出恐惧驱动短期价格，但经营收入驱动长期价格。
提醒一下：当整个社区都在恐慌发帖讨论内存股名字的时候。从$EWY（SK Hynix、Samsung）、$MU和$SNDK。在伊朗冲突初期。说“Kospi和内存股会因氦气或LNG下跌30-40%”。我是全程保持看多的少数分析师之一。因为我实际上做了研究来支持我关于LNG、原油和氦气几乎没有实质性影响的观点。伊朗冲突仍在进行中，关于潜在油价飙升仍有很多未知因素：但恐惧和煽动性标题驱动短期价格。经营收入驱动长期价格。只要知道从方向上看，内存对AI建设至关重要。美国不会让他们的AI建设因中东冲突而停滞，并在AI——这个历史上最变革性的技术——上失去对中国的优势。
原推 ↗英文原文
Just a reminder: While the entire community was doomposting about memory names. From $EWY (SK Hynix, Samsung), $MU and $SNDK. during the initial Iran conflict. Sayin “Kospi and memory names would drop 30-40% because of Helium or LNG.” I was one of the only few analysts that remained bullish the entire time. As I actually did the research to back up my claims about little material disruption of LNG, Crude, and Helium. The Iran conflict is still ongoing, and there’s a lot of unknowns still regarding potential oil spikes: But fear and sensational headlines drive short term prices. Operating income drives long term prices. Just know that directionally, memory is critical to the AI buildout. United Stares wont let their buildout stall, and lose China, in AI - the most transformative technology in history. Over a Middle East conflict.
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分享本周新关注的3只股票，定位为硅光子学产业链细分标的
@MattReno264555 我个人新关注的是 Soitec ($SOI) 作为硅光子学衬底，以及 $SIVE 作为下一个 $LITE，用于CPO/硅光子学。还有 $TSEM 作为光子学领域的 $TSM。这是这周的分享。
原推 ↗英文原文
@MattReno264555 My personal new ones were Soitec ( $SOI ) for silicon photonics substrates and $SIVE as the next $LITE for CPO/Silicon photonics. As well as $TSEM as the $TSM for photonics This past week.
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列出 AI Displacement 等权组合年初至今回报，认为自己无意中做出了一个很强的 ETF。
我看了一下书签数量，才意识到： 我低调地搞出了一个很能打的 ETF？ AI Displacement 等权组合年初至今： $AXTI：+191.53% $AAOI：+144.47% $SNDK：+140.38% $SOI：+114.3% $LITE：+61.22% $AEHR：+60.97% $BE：+56.56% $VRT：+47.42% Samsung：+42.8% $TER：+37.99% $MU：+35.1% SK 海力士：+34.42% $NBIS：+25.57% $COHR：+24.92% Mediatek：+17.01% $INTC：+16.23% $ASML：+15.63% Advantest：+11.78% $TSM：+5.85% $COPX：+4.56% $TSEM：+2.44% $MRVL：-1.71% $NVDA：-4.55% $AVGO：-7.32% 这只是我脑子里第一时间想到的名字。 我个人持有其中很多，也没持有另外一些，比如 $NVDA 或 $BE，但我还是把它们放进来了。 不过老实说，如果我现在不是在主动管理仓位集中度，我会很愿意把这些名字等权配置。 我预计 AI Displacement ETF 还会继续上涨： 因为这些公司都是人工智能扩展算力和推理最主要的受益者。
原推 ↗英文原文
I realized by the amount of bookmarks. I lowkey dropped a banger ETF? AI Displacement Equal Weighted YTD: $AXTI: +191.53% $AAOI: +144.47% $SNDK: +140.38% $SOI: +114.3% $LITE: +61.22% $AEHR: +60.97% $BE: +56.56% $VRT: +47.42% Samsung: +42.8% $TER: +37.99% $MU: +35.1% Sk Hynix: +34.42% $NBIS: +25.57% $COHR: +24.92% Mediatek: +17.01% $INTC: +16.23% $ASML: +15.63% Advantest: +11.78% $TSM: +5.85% $COPX: +4.56% $TSEM: +2.44% $MRVL: -1.71% $NVDA: -4.55% $AVGO: -7.32% These are just the first names that came to my head. I own a lot of these personally (and don't own others like $NVDA or $BE ) but included them anyway. But honestly, I'd be happy to equal weight all these names if I weren't actively managing my portfolio concentrations. I expect the AI Displacement ETF to keep rising: As they're the largest beneficiaries of scaling compute and inference for artificial intelligence.
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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。
原推 ↗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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博主分享光子学供应链投资组合，按风险等级分层推荐多只股票。
我是最早一批覆盖光子学供应链股票的人。 大多数自发布以来涨幅达到100-400%以上。 以下是我的核心论点帖的概要总结： 截至今日“最安全”的多头标的： - $TSEM（高塔半导体） - $SOI（Soitec） - $COHR——随时间推移具有防御性的复利型公司。 Soitec——在硅光子学/共封装光学(CPO)架构攀升中拥有基板垄断地位，估值极低（即使近期上涨40%+，可能仍只有1.4倍市净率）。 高塔半导体——2028年市盈率处于十几倍区间，70%以上的产能已被预订，是$NVDA架构合作伙伴，基本上是光子学领域的纯Play版$TSM。 Coherent——在光子学领域基本上覆盖从材料/基板到激光器再到光收发器的全产业链，同时也是许多其他垂直领域的基础供应商。 最高贝塔/极高增长多头标的： $AXTI——与Sumitomo形成磷化铟(InP)双头垄断（后者正面临出口管制），与Vital在上游原料端形成双头垄断。 基本上，AXT处于整个光子学食物链的顶端。出口管制风险确实存在，但我的论点是：如果AXT倒下，那么AI驱动的光子学建设也会崩塌。所以还不如做多AXT。 $AAOI——到2027年收入增长10倍。激光器->设计->组装，美国制造。主要不确定性在于执行能力、扩大从$COHR收购的激光器产能等。 超大规模数据中心运营商的需求都存在。他们能交付吗？我愿意承担这个风险。 $IQE——基本上完全依赖重组和清理债务（市值约2亿美元）。作为$LITE的外延晶圆(epiwafer)知名供应商，其主要竞争对手Landmark估值超过35亿美元。 其现有产能（反应器）潜力存在，但基本上需要成功转型光子学并切断传统业务的拖累，才能实现10倍的重新定价。 风险最高，但也可能有相应的回报。 做多$GOOGL TPU生态系统相关： $LITE——由于光学电路交换机(OCS)垄断地位，其光学相关的物料清单(BOM)占比非常高。 如果你认为谷歌TPU是一个可能最终像$NVDA那样的万亿美元项目，那就做多$LITE。 谷歌计划2026年资本支出1750-1800亿美元，其AI基础设施CTO表示计划逐年增加，可能在未来8年投入1万亿美元。 如果这个计划成立，$LITE相对于未来潜力来说估值极低。当然，他们也向其他超大规模数据中心运营商供应激光器，但我会说它与谷歌增长的关联度更高。 _ 还有许多其他我覆盖过的标的： $POET——我本人不做多，但其4亿美元资产负债表提供了良好的缓冲。我发现从$MRVL攀升中发现的Celestial项目太遥远——例如2028年预计收入5亿美元、2029年10亿美元——对于2026年来说不具实质意义。 这很大程度上取决于他们的中介器(interposers)是否能获得其他超大规模数据中心运营商的认证，而不是通过Marvell走后门——这是主要的看涨逻辑。 $HIMX——我确实发现这个论点略有说服力，作为可能的$TSM共封装光学(CPO)供应商。 但我个人更偏好$SOI，会将更多集中度投入其中（因为Soitec作为已知供应商已基本覆盖整个硅光子学领域，而且刚从下行周期中走出）。 还有很多其他的如$NOK、$SHMN也很有趣，但我个人已将集中度投入到我认为最有说服力的标的。 像$LITE这样的“拥挤标的”并不意味着没有剩余上涨空间。只是在有新消息之前，估值已经更多地被反映进去了。 存在许多“关键供应商”，但供应链中的重要性...与将其转化为极高营收增长（例如$AAOI -> 45亿美元营收）之间存在差异。 但对于光子学敞口的简要总结，我的投资组合大致如下： 高集中度（更安全）： $TSEM晶圆代工、$SOI基板、$COHR全产业链 做多+卖看跌期权组合（高波动性）： $AXTI基板/原料、$IQE外延晶圆、$AAOI光收发器供应链 然后做多谷歌相关$LITE
原推 ↗英文原文
I've been the first few to cover many supply chain photonic names. Most are up 100-400%+ since I've posted. Here's the TLDR overview of my thesis posts: “Safest” Longs as of Today: - $TSEM (Tower Semi) - $SOI (Soitec) - $COHR - Defensible compounders over time. Soitec - Substrate monopoly over silicon photonics / CPO architectural ramp at dirt cheap valuation (after recent 40%+ rise maybe still 1.4x book) Tower Semi - P/E in the 10's for 2028, 70%+ capacity booked already, $NVDA architectural partner, and basically the pure play $TSM of photonics. Coherent - Basically does everything from materials/substrates to lasers to transceivers in photonics. As well as fundamental supplier to many other verticals. Most High Beta/Extreme Growth Longs: $AXTI - InP duopoly with Sumitomo (that getting export controlled), upstream feedstock duopoly with Vital. Basically at the top of the entire photonics food chain is AXT. There's certainty export control risks, but my thesis is that if AXT goes down, the photonic buildout with AI goes down. So might as well go long on AXT. $AAOI - 10x revenue ramp into 2027. Laser -> Design -> Assembly, Made in America. Main uncertainty is execution, scaling laser capacity that they've bought from $COHR, etc. Demand from hyperscalers are all there. Can they deliver? I'd take the risk. $IQE - Basically completely dependent on restructuring and clearing debt (~$200M MC). Known $LITE supplier for epiwafers, and their main competitor was Landmark with a $3.5B+ valuation. The latent capacity is there with reactors, but they basically need to pull off a successful pivot over to photonics and cut off legacy drag for 10x rerating. Highest risk out there, but maybe worth the reward.s Long $GOOGL TPU Ecosystem: $LITE - Basically very high BOM related to optical due to OCS monopoly for Google. If you think Google TPU is a trillion dollar program that might end up like $NVDA, go long on $LITE. Google has $175-180B capex planned for 2026, and their CTO for AI Infra said they plan to up that Y/Y, probably spending $1 trillion in the next 8 years. If that holds up, $LITE is extremely undervalued relative to forward potential. Of course the supply lasers to other hyperscalers too, but I'd say it's more heavily tethered to Google growth. _ There's a ton of others out there I've covered like: $POET - I'm personally not long, but $400M balance sheet gives it good cushion. Just found Celestial from $MRVL ramp was too far out, eg. $500 million 2028, $1 billion 2029 projections, for revenue to be too material as of 2026. It largely depends if their interposers get other hyperscaler qualifications rather than backdooring through Marvell, which was the main bull case. $HIMX- I did find this thesis to be slightly compelling as a likely $TSM COUPE supplier. But personally, I preferred $SOI, and would just put more concentration into that (since Soitec known supplier already to basically everything silicon photonics, and is just coming out of a downturn). There’s a lot more like $NOK, $SHMN, that are interesting, but I’ve personally out concentration into the ones I find most compelling. As “crowded names” like $LITE, it does not mean there’s no upside left. It just happens to be more priced in until there’s new news. There's a lot of "critical suppliers" but there's a difference between importance in the supply chain... And converting that into extreme revenue growth eg. $AAOI -> $4.5 billion in revenue. But for TLDR photonics exposure, my portfolio looks similar to this: High Concentration (Safer) $TSEM foundry, $SOI substrate, $COHR everything Mix of Long + CSP (High Volaility): $AXTI substrate/feedstock, $IQE epiwafer, $AAOI transceiver supply chain Then Long Google with $LITE
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继续看好 Tower Semiconductor 作为稳健光子复合股
$TSEM 根本不在乎市场其他部分。 Tower Semi 是我最喜欢的光子标的之一，像更稳健版的 $TSM 式复合器。 这是 AI 新范式的一部分。 今天又涨了 5.8%。
原推 ↗英文原文
$TSEM does not concern itself with the rest of the market. Tower semi is one of my favorite photonic names, as a safer $TSM like compounder. For the new paradigm of AI. Up 5.8% today. https://t.co/UcH1K6C4UI
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澄清氦气扰动对供应链影响有限
@ps_georg 这就是胡扯，我也不太确定为什么大家还在传播这种误导信息。 SK 海力士已经说过，氦气扰动没有影响。 $TSM 也说没有明显影响，只是在持续监控情况。
原推 ↗英文原文
@ps_georg This is BS, not quite sure why people keep spreading disinformation. SK Hynix already said helium disruptions has no effect. $TSM said there’s no notable impact but they’re monitoring the situation.
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认为 TSEM 比 TSM 更纯粹受益于光子起量
@zephyr_z9 没错，但和 $TSM 相比，$TSEM 对光子起量的纯度更高，而且估值只有它的 1/100。 可以说，这也意味着它有更快重估的潜力。
原推 ↗英文原文
@zephyr_z9 True, but $TSEM is more pure play to photonics ramp than $TSM, and at 1/100th the valuation. Arguably leads to faster re-rating potential
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解释自己喜欢用熟悉标的帮助读者理解
@PhotonCap 没错，我确实很喜欢 $TSEM。 我会尽量把内容讲得让读者能看懂，所以我会拿像 $TSM 这样的熟悉标的来做类比。 外面术语已经够多了。
原推 ↗英文原文
@PhotonCap Yep I really liked $TSEM. I try to make things understandable for readers by drawing comparisons to things they know like $TSM. Tons of jargon out there
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看多 Tower Semi 作为光子代工层的非对称机会
我做多 $TSEM，把它看成光子领域里的 $TSM。 我最看好的两只 CPO 标的是 $SOI 和 Tower Semi。 考虑到下周 $NVDA GTC 会有关于新光子架构的催化，我预计 Tower Semi 会迎来很强的催化。 Nvidia 上个月已经直接和 Tower 合作扩展 1.6T 硅光，这几乎就是在给 GTC 提示，随后很可能推动下游玩家采用它。 而现在，Tower 已经是 1.6T SiPh PIC 的领先供应商，也是规模化 CPO 架构的主要代工厂（另一个是 GlobalFoundries）。 根据我的前瞻估算： 2028 年前瞻 PE 约为 16.8 倍到 18.1 倍。 （Tower 目标到 2028 年实现 28.4 亿美元收入，经营利润率约 31.7%，净利润约 7.5 亿美元。） 要注意的是，他们计划中的 SiPh 产能已有 70% 以上被预订到 2028 年了，而光子业务甚至还没真正起量。 所以我预计，随着光子产能极度扩张以及分配价格上调，而这些还没被模型完全计入，Tower 的盈利会明显超预期。 另外，$TSEM 因为 70% 产能已被预订，实际上风险已经大幅下降。 它的市值之所以还低，很大程度上是因为它是光子供应链里非常冷门的上游玩家。 但我预计 $NVDA GTC 会成为把它推向溢价估值的催化剂。 我做多 $TSEM，是把它当成上游光子代工层的非对称上行标的。
原推 ↗英文原文
I'm long $TSEM, the $TSM of photonics. My top two picks for CPO are $SOI and Tower Semi. Given the $NVDA GTC catalyst on new photonic related architecture next week: I expect Tower Semi to get a huge catalyst. Nvidia laready directly collaborated with Tower to scale 1.6T silicon photonics last month (hint hint for GTC), likely pushing the downstream players to use it. And now, Tower is the leading supplier of 1.6T SiPh PICs and the primary foundry for scale-up CPO architectures. (the other being global foundries) From my forward est: 2028 Forward P/E: ~16.8x to ~18.1x (Tower set a target $2.84B revenue by 2028, with ~31.7% operating margin, ~$750M in net profit) The thing to note is over 70% of their planned SiPh capacity is already reserved through 2028. And photonics haven't even ramped up yet. So, I expect them to strongly beat earning projections due to extreme photonics scaling + allocations price hikes that's not modeled into projections. Also, $TSEM is heavily de-risked by 70% of capacity already being reserved. MC is likely due to $TSEM being a very obscure upstream player in the photonics supply chain. But I expect the $NVDA GTC conference to be that catalyst that brings it to premium valuations. I'm long $TSEM as an asymmetrical upside for upstream photonics foundry layer.
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认为对韩国和台积电供应链的扰动被夸大
任何扰动都不会是好事。 不过，其对韩国供应链或台湾的 $TSM 的影响大多被夸大了。 美国政策的核心是压低油价。 而伊朗唯一的生存机会，就是让能源 / 油价极端上涨，逼美国后退。 我永远会把赌注押在美国政策上。
原推 ↗英文原文
Any disruption is never a positive thing. However the effect to which the supply chains in Korea or $TSM in Taiwan are largely overblown. US policy focuses around lowering oil prices. And Iran's only chance of survival is extreme increases in energy/oil prices, leading the US to back off. I would always put my money on US policy.
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改变看法买入Soitec，认为CPO垄断地位叠加NVDA催化剂有望带来3倍回报。
改变了对Soitec ($SLOIF)的看法，建了一个约43美元的大仓位以获取CPO（共封装光学）敞口。 $NVDA下周GTC大会是推动光子学及这一架构的最大催化剂。 市值约15亿欧元，以1倍账面价值和约2倍市销率交易（估值非常低迷）。 在CPO基板方面拥有真正的垄断地位（光子学通常享有很高的溢价估值，垄断地位更是额外溢价）。 算法和分析师可能会对市场份额感到困惑，但在SOI基板上这实际上是垄断——他们授权给其他厂商如Shin Etsu是为了多样化，例如$TSM不喜欢只有一家供应商。 我不认为机构会等到明年才提前布局像Soitec这样的名字，或者$TSEM（而且大多数人甚至还没听说过$AXTI这样的名字）。 这个时机是在买入智能手机周期低迷阶段的可能底部，同时获得CPO在2027年中后期的全部上涨空间，加上下周$NVDA GTC催化剂。 我个人认为从这里还有3倍空间，所以我做多了。
原推 ↗英文原文
Changed my mind about Soitec ( $SLOIF ) and took a sizable position ~43 for CPO exposure. $NVDA GTC next week biggest catalyst pushing photonics and this architecture. ~1.5B euros MC. Trading at 1x book value and ~2x P/S (very depressed valuations) Genuine monopoly over substrates side for CPO (typically very premium valuations for photonics + even extra premium for monopoly status) Algos and analysts might get confused over market share but it’s an actual monopoly over SOI substrates since they give licenses to other players like Shin Etsu for diversification sake eg. $TSM doesn’t like just 1. I don’t think institutions will wait until next year to frontrun these names like Soitec or $TSEM (and most probably haven’t even heard of these names like $AXTI yet) This timing would be buying the likely bottom of the depressed smartphone cycle, while getting full upside of CPO mid-late 2027 + $NVDA GTC catalyst next week. I personally think it’s a 3x from here so I went long.
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SK海力士/三星基本面未受能源危机实质影响，恐慌性抛售提供买入机会。
$EWY 的隐含波动率(IV)看起来确实被严重错配了。 韩国指数以及 SK 海力士/三星的波动简直令人难以置信。 话虽如此，关于存储芯片标的有三点看法： 1. 原油成本及作为副产品的液化天然气(LNG)可能只有轻微到中度的实质性影响。 - 价格上涨对 SK 海力士/三星的利润率只是小幅削减，但 DRAM/NAND 的价格上涨足以弥补这一切。 - 鉴于运输路线/SK 海力士的声明，发现氦气/LNG 的供应中断影响很低。 2. 大多数恐惧似乎被夸大了，市场正在定价油价飙升至 200 美元+全球衰退的最坏情况。 3. 清算导致了夸张的影响。 这些股票的经营利润可能依然完好无损。 但短期重新定价是有道理的，因为市场正在规避未来石油溢出的风险。 然而，我相信一旦战争波动性结束，鉴于基本面 > 恐惧，存储芯片标的将是极具吸引力的多头标的。 另外，这也是一个很好的教训：不要在这些波动时期使用杠杆。
原推 ↗英文原文
$EWY IV is starting to look seriously mispriced. The volatility on the South Korean index and SK Hynix / Samsung is just insane. That being said, three things regarding memory names: 1. Crude Oil costs and LNG as a byproduct are likely to have little to moderate material effect. - Price hikes are a small haircut to SK Hynix/Samsung margins, but DRAM/NAND hikes makes up for all of that - Found low disruption to Helium/LNG given shipping routes / SK Hynix statements. 2. Majority of the fears seem overblown and markets are pricing in the worst case fears of Oil to $200 + global recession. 3. Liquidations causing exaggerated effects. The operating income of these stocks are likely in tact. But short term repricing does make sense as markets are derisking of future oil spillovers. However, I do believe memory names serve as compelling longs once the War volatility is over given fundamentals > fear. Also a good lesson not to use margin during volatile periods like these.
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油价/LNG/氦气恐慌被夸大，SK海力士/三星高利润率可吸收成本，逢低买入。
关于韩国综合指数(KOSPI) | $EWY (SK海力士 / 三星) 的情绪， 原油 / 液化天然气(LNG) / 氦气要么： 扰乱供应或压缩利润的说法被夸大了。 对SK海力士、三星的供应链中断和能源成本威胁是耸人听闻的噪音。 原因如下： 1. 原油： 如果油价上涨31%并浮动至120美元/桶的可能情景： 在这种情况下，油价对SK海力士和韩国内存股几乎没有实质性影响。 通过挂钩油价的LNG/JKM价格，韩国股票面临能源成本上升，主要影响那些仅靠5%到10%微薄利润生存的公司。 然而，鉴于内存价格飙升且三星在Q2将NAND价格翻倍，韩国电力公社(KEPCO) 70%的费率上调对三星/SK海力士几乎没有实质性影响。 根据披露的财务数据，SK海力士的年度电费超过1万亿韩元（DIGITIMES报道，约7.5亿美元）。相对于FY2025年97.15万亿韩元的收入，这约占收入的1-2%。 SK海力士在2025年Q4实现了58%的营业利润率。在此背景下，能源成本冲击很小： 如果我们模拟能源成本增加50%： - 对SK海力士季度营业利润(19.17万亿韩元)的影响：~1340亿-~1460亿韩元 (0.76%) - 对三星DS季度营业利润(16.4万亿韩元)的影响：~4070亿韩元 (2.4%) 每次50%的能源成本激增会使SK海力士的利润率减少约0.7%，三星的营业利润率减少2.4%。 分析师预测SK海力士在2026年传统DRAM上的利润率可能达到70%以上。即使能源成本增加100%，也不会对韩国半导体营业利润率构成实质性威胁。 然而，这对营业利润率为5-10%的低利润率公司是实质性的。 输家：传统重工业（钢铁、基础化学品、普通平板玻璃）。 赢家：三星/SK海力士。 主要风险是供应链的二阶效应，如原材料成本增加。这很难建模，但在一个例子中： 一家工业公司迫使原材料（化学品、特种气体）价格上涨30%，这对晶圆厂的影响微乎其微。 材料约占半导体销售成本(COGS)的15-20%，因此从数学上讲，材料成本激增30%只会使SK海力士的营业利润率再减少约2%。 一个打印70%利润率（并提高价格）的寡头可以轻松吸收3-4%的直接（公用事业）和间接（材料）能源逆风。 在大多数情况下，成本可能会通过NAND/DRAM价格上涨转嫁给超大规模云服务商(hyperscalers)。 在油价上涨3倍或5倍的极端情况下。 油价上涨数百倍的主要影响是两个因素： - 全球宏观经济冲击，导致全球通胀（影响从$GOOGL到$COST的每一家公司）。 - 韩元(KRW) USD/KRW汇率崩盘。 持续高油价导致的韩元贬值是一个真实的二阶风险，但历史上韩国内存出口商受益于韩元贬值带来的收入端优势。三星/SK海力士的大部分销售以美元计价，而成本以韩元计价。因此，韩元走弱实际上有利于出口商的利润率，部分抵消了能源成本逆风。 但在油价上涨5倍的极端情况下，那个末日世界里唯一的做多标的只有原油本身、像$LMT / $NOC这样的国防承包商、美国国内能源生产商和美元。 这不太可能发生。 财经媒体和算法可能会恐慌，但如果原油从91美元涨到120美元且KEPCO提高能源成本： 数据显示这对三星 / SK海力士几乎没有影响，主要影响的是那些营业利润率微薄的玩家。 2. LNG： 如果霍尔木兹海峡关闭，韩国大部分LNG进口将不受影响。 媒体一直在引用霍尔木兹海峡+流向中国、印度、韩国和日本的LNG流量。但如果我们查看韩国的贸易数据，这只是其总进口的一小部分。 大部分进口通过非霍尔木兹海峡路线到达，例如澳大利亚 (24.6%)、美国 (12.2%)、马来西亚、印度尼西亚 (~20%) 和俄罗斯/萨哈林 (~4.6%)。其余部分由来自尼日利亚、秘鲁、文莱、巴布亚新几内亚等次要来源填补。 2024年82%的进口是挂钩油价的长期合同，正如我们上面建模的那样，能源成本增加会使运营支出(opex)每增加50%受损1-2%，但鉴于DRAM/NAND价格上涨和营业利润率达到70%以上，这只会造成很小的缺口。 即使如此，成本也会转嫁给超大规模云服务商。 韩国从2022年吸取了教训并多元化了来源，LNG供应中断的影响很小。主要担忧是油价影响LNG价格上涨。 3. 氦气： SK海力士声明：“已确保多样化的供应链和充足的氦气库存”。 “因此，公司几乎不可能受到[氦气]影响。” 现实是，像$TSM到SK海力士这样的大型玩家已经多元化了供应链以应对外部事件。 氦气对半导体供应链至关重要，但媒体叙事是耸人听闻的。尤其是当最大的内存公司发表强硬声明称公司[SK海力士]不可能受到影响时。 _ 但对于三星/SK海力士等韩国股票，围绕石油/LNG/氦气的恐惧看起来与现实脱节： 因氦气和KEPCO费率上调而抛售SK海力士的算法是在进行错误的计算。这从根本上说是一个非供应链问题。 主要威胁是石油和能源成本对全球宏观经济冲击的影响，影响从消费品到通胀的一切。 3月3日“黑色星期二”暴跌使KOSPI下跌7.2%，SK海力士单日下跌11.5%，正是以这些能源安全恐惧为主要催化剂。当然，杠杆强制平仓火上浇油。 然而，基本面与价格走势之间的脱节就是交易机会。如果利润率真的受到威胁，抛售就是合理的。 但，抛售在一天内摧毁的价值比几十年能源成本上涨可能造成的还要多。 数学不支持恐惧的事实正是为什么韩国是买入的理由，因为市场正在因情绪而非结构性扩张的盈利能力（尽管石油/能源成本增加）而抛售。
原推 ↗英文原文
The sentiment around KOSPI | $EWY (SK Hynix / Samsung) on Crude Oil / LNG / Helium either: Disrupting Supply or Compressing Margins are overblown. The supply chain disruption and energy cost threats to SK Hynix, Samsung are sensationalized noise. Here's why: 1. Crude Oil: The a likely scenario if oil prices increase 31% and oil floats to $120/bbl: In this case, the effect on oil has almost no material impact on SK Hynix and South Korean memory equities. There are increased energy costs via oil-pegged LNG/JKM prices on Korean equities, mainly for companies surviving on razor-thin 5% to 10% margins. However, a KEPCO 70% rate hike has little material affect on Samsung/SK Hynix, given memory prices have soared with Samsung doubling NAND prices Q2. From disclosed financial from, their SK Hynix's annual electricity bill exceeds ₩1 trillion per DIGITIMES (~$750M). Which against FY2025 revenue of ₩97.15 trillion represents roughly 1–2% of revenue. SK Hynix posted a 58% operating margin in Q4 2025. Against this backdrop, the energy cost shock is small: If we model a 50% increase in energy costs: - Hit to SK Hynix quarterly OP (₩19.17T): ~₩134 billion-~₩146 billion (0.76%) - Hit to Samsung DS quarterly OP (₩16.4T): ~₩407 billion (2.4%) Every 50% energy cost spike would shave roughly .7% off SK Hynix margins and 2.4% off Samsung operating margins. Analysts project SK Hynix margins could reach 70%+ on conventional DRAM in 2026. Energy costs do not meaningfully threaten Korean semiconductor operating margins, even if they were to increase by 100%. However, this is material to companies with low operating margins of 5-10% The Losers: Traditional heavy manufacturing (steel, basic chemicals, standard flat glass). The Winners: Samsung/SK Hynix. The main risk is second-order effects on supply chains such as increased material costs. This is very hard to model, but in an example where: an industrial company forces 30% price hikes on raw materials (chemicals, specialty gases), it barely dents the fabs. Materials are roughly 15-20% of semiconductor COGS, so mathematically, a 30% spike in material costs only shaves an additional ~2% off SK Hynix's operating margins. A combined 3-4% direct (utilities) and indirect (materials) energy headwind is easily absorbed by an oligopoly printing 70% margins (and increasing prices). In majority of cases, the costs likely get passed down to hyperscalers through NAND/DRAM price hikes. In the very worst case scenario of oil prices increasing 3x or 5x. The main affect on oil increasing hundreds of percent are two factors: - Global macroeconomic shock, causing global inflation (affecting every single company, from $GOOGL to $COST). - KRW (South korean Won) USD/KRW exchange rate blowout. KRW depreciation from sustained high oil is a real second order risk, but historically Korean memory exporters benefit from won weakness on the revenue side. The majority of Samsung/SK Hynix sales are dollar denominated wheras costs are won denominated. So a weaker KRW is actually margin accretive for exporters, which partially offsets the energy cost headwind. But in an extreme case of oil prices hiking 5x, the only longs in that apocalyptic world are crude oil itself, defense contractors like $LMT / $NOC, domestic US energy producers, and the US Dollar. This is unlikely to happen. The financial media and algorithms will likely panic, but , if crude oil goes from $91 to $120 and KEPCO increases energy costs: The data shows there's little affect on Samsung / SK Hynix in specific, and the main impact are on players with razer-thin operating margins. 2. LNG: If the Hormuz closed, the majority of South Korea’s LNG imports would be unaffected. The media has been quoting Hormuz + LNG flows going to China, INdia, SK, and Japan. But if we look at the trade data from South Korea, that’s just a fraction of their total imports. Majority of imports arrive via Hormuz free routes, eg. Australia (24.6%), US (12.2%), Malaysia, Indonesia (~20%), and Russia/Sakhalin (~4.6%). Then the rest filled in with minor sources from Nigeria, Peru, Brunei, PNG, etc. The 82% of 2024 important were long term contracts that were oil-indexed, and as we've modeled above, increasing energy costs would hurt opex by 1-2% per 50% increase, but given DRAM/NAND price hikes and operating margins hitting 70%+, this would make a very little dent. Even if they did, costs would be passed onto hyperscalers. South Korea learned their lesson from 2022 and diversified sources, and there's little impact on LNG supply disruption. The main concern is oil impacting hiking of LNG. 3. Helium: SK Hynix statement: “Long secured diverse supply chains and sufficient inventory" of helium. "Therefore there is almost no chance that the company will be affected [by helium]. The reality is larger players like $TSM to SK Hynix have diversified their supply chains against foreign events. Helium is critical to semiconductor supply chains, but the media narrative is sensational. Especially when the largest memory company puts out an assertive statement that there’s no chance the company [SK Hynix] will be affected. _ But to South Korean equities in Samsung/SK Hynix, fears around Oil/LNG/Helium look disconnected from reality: The algorithms selling off SK Hynix because of helium and KEPCO rate hikes are acting on bad math. It is fundamentally a supply chain non-issue. The main threat is oil and energy costs on global macroeconomic shock affecting everything from consumer goods to inflation. March 3 "Black Tuesday" crash dropped KOSPI dropped 7.2% and SK Hynix fell 11.5% in a single session on exactly these energy security fears as the main catalyst. Of course, forced liquidations from leverage added fuel to the fire. However, the disconnect between fundamentals and price action is the trade. If margins were actually threatened, the selloff would be justified. But, the sell-off destroyed more value in one day than DECADES of hiked energy cost increases could have. The fact that the math doesn't support the fear is precisely why it's Korea is a buy, as markets are selling off on emotion rather than looking at the structural expanding profitability despite increasing oil/energy costs.
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SK海力士澄清氦气供应无忧，驳斥市场恐慌，巨头供应链已多元化。
SK海力士声明： “已长期确保多元化的氦气(He)供应链和充足的库存”。 “因此，公司几乎不可能受到[氦气短缺]的影响。” X上的媒体和散户：“因为氦气，半导体行业完蛋了！” 95%的主流媒体和FinX账号都是纯粹的噪音。 虽然可能会对较小玩家产生影响并带来适度逆风： 但现实是，像$TSM到SK海力士这样的大型玩家已经针对外部事件实现了供应链多元化。他们不会突然停止制造芯片。 尤其是当最大的内存公司发表强硬声明，称公司[SK海力士]几乎不可能受到影响时。 这几乎就像是……世界上最大的公司从2022年吸取了教训？
原推 ↗英文原文
SK Hynix statement: “Long secured diverse supply chains and sufficient inventory" of helium. "Therefore there is almost no chance that the company will be affected [by helium]. Media and Retail on X: “It’s all over for Semis because of Helium!” 95% of mainstream media and FinX accounts are pure noise. While there might be an impact on smaller players and a moderate headwind: The reality is larger players like $TSM to SK Hynix have diversified their supply chains against foreign events. And aren’t going to suddenly stop making chips. Especially when the largest memory company puts out an assertive statement that there’s no chance the company [SK Hynix] will be affected. It’s almost if… the largest companies in the world learned their lesson from 2022?
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谷歌CTO暗示AI支出激增，澄清市场误判，看好AI基建加速。
@4intheflames $GOOGL 人工智能首席技术官刚刚明确暗示未来8年将增加支出。 https://t.co/zSf77JAHBQ （该推文引用了 @aleabitoreddit 的推文，引用内容仅供理解语境）： “谷歌数据中心建设规模可能超过1万亿美元” 这对谷歌TPU生态系统1.5万亿美元以上的资本支出意味着什么： 对$LITE、联发科、$AVGO、$TSM、SK海力士、三星等均为广泛利好。 在接受福布斯关于人工智能资本支出的采访时，$GOOGL首席技术官表示： “今年（资本支出）在1750亿至1850亿美元之间，假设不会下降，人们可以想象这在10年内可能延伸到某个巨大的数字。” 福布斯评论道：“谷歌的数据中心野心与OpenAI有着巨大差异：谷歌是一台赚钱机器。” 昨天，市场抛售了OpenAI和$ORCL相关的半导体股票，导致一些“星际之门”相关项目暂停。 市场将OpenAI的成长阵痛与由最富有的超大规模云服务商资助的更广泛的人工智能基础设施建设混为一谈。 从$GOOGL和印钞机般的Mag7角度来看： 人工智能基础设施建设在未来十年看来只会加速。
原推 ↗英文原文
@4intheflames $GOOGL CTO of AI literally just signaled increase spend over the next 8 years. https://t.co/zSf77JAHBQ
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谷歌AI基建支出庞大且持续加速，利好相关半导体供应链。
“谷歌数据中心建设规模可能突破1万亿美元” 这对谷歌TPU生态系统1.5万亿美元以上的资本支出(capex)意味着什么： 对$LITE、联发科(Mediatek)、$AVGO、$TSM、SK海力士、三星等普遍利好。 在接受福布斯关于AI资本支出的采访时，$GOOGL首席技术官(CTO)表示： “今年在1750亿至1850亿美元之间，假设不会下降，人们可以想象这在10年内可能延伸到某个巨大的数字” 福布斯评论道：“谷歌的数据中心野心与OpenAI有着巨大差异：谷歌是一台赚钱机器” 昨日，市场抛售了OpenAI和$ORCL相关的半导体股，暂停了一些Stargate相关项目。 市场将OpenAI的成长阵痛与由最富有的超大规模云服务商(hyperscalers)资助的更广泛的AI基础设施建设混为一谈。 从$GOOGL和印钞机般的Mag7角度来看： AI基础设施建设在未来十年看来只会加速。
原推 ↗英文原文
“Google’s Data Center Buildout Could Top 1 Trillion” The implications for $1.5T+ in capex spend for the Google TPU ecosystem: From $LITE, Mediatek, $AVGO, $TSM, SK Hynix, Samsung and others are widely positive. In an interview with Forbes on AI capex spend, $GOOGL CTO stated: “We’re at $175 to $185 billion this year, one could imagine, assuming it's not going to go down, that this could extend to some big number over 10 years” Forbes comments: “There’s a big difference between Google’s data center ambitions and OpenAI’s: Google is a money-making machine” Yesterday, markets sold off semi names from OpenAI + $ORCL putting a pause on some Stargate related projects. The market conflated OpenAI's growing pains with the broader AI infrastructure buildout funded by the richest hyperscalers. From $GOOGL and a money-printing Mag7 perspective: The AI buildout only looks to accelerate over the next decade.
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除巨头外需警惕宏观与稀释风险，密切跟踪高成长股变化。
同意，除非你的持仓是 $GOOGL 或 $TSM，否则你不能只是躺平四年就确信它会表现良好。密切关注是否有任何实质性变化至关重要。尤其是对于极高贝塔值的超成长型公司，宏观环境、战略转型或过度稀释都可能破坏你的投资逻辑或限制上行空间。
原推 ↗英文原文
Agreed, if your name is not $GOOGL or $TSM where you can just sit back 4 years and know it will likely do well. It’s important to monitor if there’s any material changes. Especially for extremely high beta hypergrowth names where things from macro, pivots, or excessive dilution can break your thesis or cap upside
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澄清Oracle数据中心项目正常，视AI板块错杀为买入机会。
针对彭博社报道的最新回应：“Oracle与OpenAI的数据中心项目现有计划仍在按部就班进行。” 昨日因虚假的出口管制新闻，从$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？
原推 ↗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。
原推 ↗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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驳斥彭博社误报出口管制草案引发半导体供应链恐慌性抛售。
彭博社刚刚引发了半导体市场的崩盘。凭记忆，受影响的标的从 $EWY 和 $SNDK 到 $NVDA 和 $TSM 都有。起因是假新闻。这简直是路透社关键矿产误导性报道的2.0版本。肯定得有人为此负责？
原推 ↗英文原文
Bloomberg just caused a semiconductor market crash. From memory names in $EWY and $SNDK to $NVDA and $TSM. Off fake news. This is Reuters critical minerals misleading reporting v2. Certainly someone needs to be held accountable? https://t.co/YaBNpl8nFB
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澄清AI芯片出口管制仅为提案，驳斥误报引发的供应链恐慌。
“美国正考虑要求全球 $NVDA、$AMD AI 芯片销售需获许可” 市场正对特朗普政府拟对英伟达实施类似 $AXTI 出口管制待遇的消息做出剧烈反应。 关键词：提案 | 草案。 该提案原样通过的可能性几乎为零。 随着消息报道，科技公司很可能正在游说政府。 文章中提到： 特朗普政府将提出法规，要求全球 AI 芯片出货需经美国批准。 该法案的结果将毫无理由地造成 AI 贸易瓶颈，并损害特朗普最看重的指标：美国股市。 特朗普曾以废除拜登时代的 AI 扩散规则而闻名： “包括英伟达、微软和甲骨文在内的主要美国科技公司曾游说反对该规则，认为其可能导致数十亿美元收入损失，并促使合作伙伴转向中国技术。” 因此，新政策的实施将与其议程背道而驰。 不幸的是，其他文章和新闻将其改写为迫在眉睫的出口管制，而非提案。 耸人听闻/虚假的标题报道引发了从 $TSM、$NVDA 到 $MU 的整个供应链今日的大幅抛售。 然而，人们确实有权对潜在影响感到担忧。
原推 ↗英文原文
“US Mulls Requiring Permits for Global $NVDA, $AMD AI Chip Sales” Markets are reacting violently to news of the Trump administration was thinking about giving Nvidia the $AXTI export control treatment. Keyword: Proposal | Draft. There is an almost zero chance it passes as is. Tech companies are likely lobbying the administration as this gets reported. In the article: The Trump administration will propose regulations that would require American approval for AI chip shipments worldwide. The result of this bill would bottleneck the AI trade for no reason and harm Trump’s favorite metric: the US stock market. Trump was known for rescinding the Biden-era AI Diffusion Rule: “Major U.S. tech firms, including Nvidia, Microsoft, and Oracle, lobbied against the rule, arguing it could cost them billions in revenue and push partners towards Chinese technology.” So a new policy getting enacted, would be counterintuitive to his agenda. Unfortunately other articles + news on elsewhere reworded this as an imminent export control, rather than a proposal. Sensational / false headline reporting triggered a massive selloff of the entire supply chain from $TSM, $NVDA, to $MU today. However, people do have a right to be worried about the implications.
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韩国LNG进口多元化且多为长协，能源成本可转嫁，基本面未受地缘政治实质影响。
如果霍尔木兹海峡(Hormuz)关闭，韩国80%的液化天然气(LNG)进口似乎不受影响。$EWY 中的SK海力士(SK Hynix)和三星自2022年以来已实现高度多元化。人们引用数据称，通过霍尔木兹海峡运输的LNG中约59%流向四个亚洲国家：韩国、日本、中国和印度。这看起来是个吓人的数字，但这只是他们总进口量的一小部分。大约五分之四的进口已通过非霍尔木兹路线到达：澳大利亚(24.6%)、美国(12.2%)、马来西亚、印度尼西亚(~20%)和俄罗斯/萨哈林(~4.6%)。此外，2024年约82%的进口为长期合同，而非现货。因此，任何因价格飙升导致的成本上涨将得到很大程度的缓冲。即使成本上升，也会转嫁给超大规模云服务商(hyperscalers)。看来韩国从2022年的教训中吸取了经验，实现了来源多元化并增加了长期定价合同。
原推 ↗英文原文
If the Hormuz were closed, it looks like 80% of South Korea’s LNG imports would be unaffected. And looks like $EWY SK Hynix and Samsung are largely diversified since 2022. People are quoting majority of all LNG flowing through the Strait of Hormuz (~59%) goes to just four Asian countries: South Korea, Japan, China, and India. Looks like a scary number, but that’s just a fraction of their total imports. Roughly four-fifths of imports already arrive via Hormuz-free routes: Australia (24.6%), US (12.2%), Malaysia, Indonesia (~20%), and Russia/Sakhalin (~4.6%). Then 82% of 2024 imports for example were long term contracts, not spot. So any hiked rates for new price hikes would be largely insulated. Even if they did, costs would be passed onto hyperscalers. Looks like South Korea learned their lesson from 2022 and diversified sources + added long term pricing contracts.
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反驳KOSPI恐慌，指出SK海力士基本面强劲，当前为情绪性去杠杆。
感觉大家都在唱衰韩国综合指数(KOSPI)，说： > “看图表，它不可能一直这样涨！” > 存储芯片是需求的黑洞（$SNDK 已收到3年预购订单） > $EWY 基本上就是两只股票，三星和SK海力士，并不代表韩国经济 > 就像说台湾加权指数是泡沫，因为追踪 $TSM 和联发科的指数在涨一样。 > 存储需求/AI不会因为伊朗战争而消失，但成本确实会变高。 > 原油/LNG带来的能源成本增加会转嫁给超大规模云服务商，而不是被运营支出(opex)吸收。 这看起来更像是恐慌性抛售和去杠杆（3倍和10倍ETF今天可能已被清零），而非基本面恶化（虽有轻微利空，但不足以导致-30%跌幅）。 SK海力士期货现在交易在3000亿-4000亿美元市值区间。 如果微软(MS)和更新的分析师预测稍微准确一点，SK海力士的营业利润例如约为3000亿美元。 如果存储价格下跌，到2028年他们将拥有过多的现金作为缓冲。（甚至还没考虑需求变得结构性强劲）。 这看起来像是另一次DeepSeek-英伟达式的恐慌性抛售，尤其是最近nand/dram价格再次上涨。更多是关于择时抄底的问题。 在这样的时刻，逻辑比非理性的头条新闻抛售更重要。
原推 ↗英文原文
Feels like everyone is doom-posting KOSPI saying: > “Look at the chart, it can’t keep going up like this!” > Memory is a black hole for demand ( $SNDK taking 3Y preorders ) > $EWY is basically just two stocks, Samsung and SK Hynix, not a representation of the Korean economy > Like saying Taiwan Index is a bubble because the index that tracks $TSM and Mediatek goes up. > Memory demand/AI doesn’t just disappear because of a War in Iran, but it does get more expensive. > Increased energy from crude/LNG get passed down to hyperscalers, not eaten up in opex. It’s looks to be fear selling and deleveraging (3x ETFs and 10x likely got wiped out today) rather than materially operational (slight bearish headwind, but not enough for -30%). SK Hynix futures is now trading in the high $300B MC-low $400B range. If MS and updated analyst projections are even slightly right, SK Hynix’s operating profits for example would be ~$300B. They’ll be sitting on too much money by 2028 as a cushion if memory prices drops. (and not even considering demand becomes structural). Looks to be another DeepSeek-Nvidia type fear selling situation, especially as nand/dram prices get hiked again recently. More of a question of timing the bottom. It’s times like these logic matter more than irrational headline selling.
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列举AI半导体供应链各环节代表公司及代码
@jahintanvir_ 大概包括这些： 内存 - $MU, 三星, SK海力士, 闪迪 晶圆代工, 封装 - $INTC, $TSM, $AMKR 光子学(Photonics) - $LITE, $COHR, $AAOI 专用集成电路(ASICs) - $AVGO, $MRVL 连接 - $ALAB, $CRDO 电力/电网 - $XLU 数据中心 - $NBIS, $CIFR, $WULF
原推 ↗英文原文
@jahintanvir_ Probably the likes of these: Memory - $MU, Samsung, SK Hynix, Sandisk Foundries, Packaging- $INTC, $TSM, $AMKR Photonics - $LITE, $COHR, $AAOI ASICs - $AVGO, $MRVL Connectivity - $ALAB, $CRDO Power/Grid- $XLU Datacenters - $NBIS, $CIFR, $WULF
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看好$AAOI十倍增长潜力，视其为光子学核心持仓。
$AAOI 对我来说感觉是必须配置的共封装光学(CPO)敞口。 他们的财报简直像黑魔法一样神奇。 $LITE（市值500亿美元）：2026财年预估营收约29.1亿美元 $AAOI（市值56亿美元）2027年下半年：43.5亿美元年度经常性收入(ARR)。 他们的增长预测在2026年实际上已经超越了 $LITE。 我没开玩笑。 $AAOI 的毛利率约为40%，$LITE 凭借光电路交换(OCS)垄断地位可能达到45%。 “长期毛利率目标约为40%。” 别误会，$LITE 是一只极佳的长线股，因为其在 $GOOGL TPU 和 Google 资本支出中占据8-12%的物料清单(BOM)份额... 但 $AAOI 的营收顶层增长接近去年营收的10倍，这简直不可思议。 如果你用草稿纸数学模型计算： “管理层预测，到2027年第二季度，每月光收发器营收潜力达3.78亿美元” ~ 43亿美元目标，40%毛利率（自产），17.2亿美元毛利润，也许~6亿美元资本支出/运营支出： 净利润 ~8.96亿美元。 远期市盈率（基于2027年净利润）：~6.4倍远期市盈率，对应约900%的同比增长。 而且如果你看光子学产能爬坡，预计向2030年呈指数级增长。 从他们的管理层电话会议来看，超大规模云服务商（$GOOGL, $MSFT, $AMZN）很可能买断了所有可用的光收发器产能。 这让我想起早期的 $ALAB 或 $CRDO，所有超大规模云服务商都是他们的客户。 如果你考虑到像 $SNDK 的NAND闪存那样的价格涨幅： +15% 平均售价(ASP)涨幅：14.1亿美元净利润 - （4.1倍远期市盈率） +30% 平均售价(ASP)涨幅：19.2亿美元净利润 - （3.0倍远期市盈率） 这就是为什么我在 $AAOI 财报后如此兴奋。 甚至还没包括 $AAOI “美国制造”的光收发器供应链，这将使他们获得相对于 $FN、中际旭创(Innolight)、易普联(Eptolink)等海外厂商的溢价。 有点像 $INTC 对 $TSM 或 $MU 对 SK海力士的溢价。 如果他们的预测成真，且价格涨幅使光子学板块在800%+增长下达到3倍市盈率，回报率将是天文数字。 再次强调，这些是管理层预测，执行力才是关键。 无论如何，我将 $AAOI 作为我最大的光子学持仓之一，因为这看起来像黑魔法，也是下一个 $SNDK 的开端。 如果他们能实现预测，非零概率是我们在一年半后看到其达到 $LITE 500亿美元的估值。
原推 ↗英文原文
$AAOI feels like must-have photonics exposure to me. Their earnings report is genuinely black magic. $LITE ($50B MC): FY 2026 est. ~$2.91B $AAOI ($5.6B MC) H2 2027: $4.35B ARR. Their growth projections literally leapfrogged $LITE for 2026. Not even kidding. Gross margins are ~40% for $AAOI, maybe 45% for $LITE with OCS monopoly. "-term objective of gross margins to around 40%," Don't get me wrong, $LITE is an amazing long due to 8-12% BOM of $GOOGL TPU and Google capex spend... But $AAOI top line growth for revenue is close to 10X revenue growth from last year's revenue, which is just insane. And if you go off napkin math modeling: "By Q2 2027, management forecasts monthly transceiver revenue potential of $378 million" ~ $4.30B target, 40% margin (in-house), $1.72B gross profit, maybe ~$600m capex/opex: Net income ~$896M. Forward P/E (on 2027 NI): ~6.4x forward p/e off ~900%-ish Y/Y growth. And if you look at photonics ramp, it's expected to increase exponentially toward 2030. From their management call hyperscalers likely ( $GOOGL, $MSFT, $AMZN ) are buying out all available capacity for transceivers. Reminds me of a early $ALAB or $CRDO where all the hyperscalers are their customers. And if you get to likely price hikes like NAND for $SNDK: +15% ASP Price Hike: $1.41B net income - (4.1x forward p/e) +30% ASP Price Hike: $1.92B net income - (3.0x forward p/e) This is why I got so excited about $AAOI post-earnings. Not even including $AAOI "Made in America" transceiver supply chains that would give them a premium where $FN, Innolight, Eptolink, and others do theirs abroad. Kinda like $INTC to $TSM or $MU to SK Hynix premiums. The ROI for this is just astronomical if they hit their projections and price hikes give them a 3 p/e rate off 800%+ growth in photonics segments. Again, these are management projections, execution is the biggest the name of the game. Regardless, I'm making $AAOI one of my largest photonics positions because this looks like black magic and the beginning of the next $SNDK. There's a nonzero chance we might see this at a $50B $LITE valuation one and a half year from now if they can execute on their projections.
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AAOI财报预示光子学新范式，资金或轮动至上游设备及材料供应商。
$AAOI 预计到 2027 年光收发器需求激增 10 倍，基于 $55 亿的市场规模 (MC)，实现 $43 亿的年经常性收入 (ARR)…… 这规模巨大。 $LITE 和 $COHR 可能已经拥挤，但。 我们可能会看到资金向上游轮动，例如： $ASML 类型的供应商： - Aixtron (ETR: AIXA)：在输入型金属有机化学气相沉积 (MOCVD) 领域占据约 75% 份额 - $VECO - MOCVD 和分子束外延 (MBE) 系统，可能是第二选择。 - Oxford Instruments：$AAOI 和 $COHR 的等离子刻蚀和沉积系统供应商 独立外延晶圆代工厂 (光子学领域的代工厂)： - $IQE：最大的外包化合物半导体外延晶圆制造商。基本上是光子学世界的 $TSM，但有很多传统业务的拖累。 - LandMark Optoelectronics：最直接、纯粹的光收发器单元增长标的 - IntelliEPI (TPE: 2462)：使用 MBE 而非 MOCVD 制造高性能磷化铟 (InP) 外延晶圆 原材料衬底供应商 (基础材料)： - $AXTI/ Sumitomo：大家现在都知道了 收发器产能扩张的预测令人震惊，而这仅仅是 2027 年的情况。 到 2028 年可能会呈指数级增长。 $AAOI 创纪录的财报标志着光子学新范式的开始，获得相关敞口是一个很好的主意。
原推 ↗英文原文
$AAOI's 10x projected rev surge in optical transceiver demand by 2027 for $4.3B ARR off a $5.5B MC... Is enormous. $LITE and $COHR might be crowded, but. We'll likely see rotation upstream like: $ASML-type suppliers: - Aixtron (ETR: AIXA): ~75% share for inp MOCVD - $VECO - MOCVD and MBE (Molecular Beam Epitaxy) systems, probably second. - Oxford Instruments: Supplier to $AAOI and $COHR for plasma etch and deposition systems Merchant Epiwafer Fabs (Foundaries for photonics): - $IQE: largest outsourced compound semiconductor epiwafer manufacturer. Basically $TSM of photonics world but lot of legacy drag. - LandMark Optoelectronics: Most direct, pure-play for optical transceiver unit growth - IntelliEPI (TPE: 2462): MBE rather than MOCVD to create high-performance InP epiwafers Raw Substrate Suppliers (base materials): - $AXTI/ Sumitomo : everyone knows by now Transceiver ramp projections is staggering, and this is only 2027. It's likely exponentially increasing into 2028. $AAOI's record-breaking earnings signals the start of a new paradigm for photonics, it's a great idea to get exposure.
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$AAOI若达预期市值或达250-300亿，核心持仓但存执行风险。
财报后，如果$AAOI 达成预期，明年市值有望从$50亿轻松跃升至$250亿-$300亿。它是少数“美国制造”（德克萨斯州Sugarland）的公司，对比竞争对手：$LITE（全球）、$COHR（全球）、$FN（泰国）、$AVGO（全球）、中际旭创（中国）和易飞扬（中国）。因此它可能像$INTC对比$TSM、$MU对比SK海力士那样获得“美国溢价”。但看营收：FY营收4.56亿美元，2027年ARR预计45.36亿美元（~900%+增长）。加上30%-40%的低端利润率预期及超大规模云厂商认证，这太疯狂了。虽有$2.5亿ATM增发，但相比预期只是九牛一毛。这部分极有趣：管理层称800G、1.6T模块的需求和产能到2027年中可能激增近10倍。这对$IQE、Landmark等外延晶圆(epiwafer)公司及更上游的$AXTI也是巨大顺风。$AAOI是2026-2027年的核心持仓，但始终存在交付执行的風險。$250-300亿市值预期听起来超现实，但如果达成$43.5亿ARR（900%+增长），光电子规模化在2028-2029年可能继续扩大，财报确实惊人。
原推 ↗英文原文
After earnings, $AAOI could easily be a $25B-$30B company next year from $5B if they hit their projections. And they're one of the only "Made in America" (Sugarland, Texas) companies out of - $LITE (global) - $COHR (global) - $FN (Thai) - $AVGO (global) - Innolight (China), and Eoptolink (China). So they likely get that "America" premium like $INTC compared to $TSM and $MU compared to Sk Hynix. But from revenue: FY Revenue: $456 million 2027 ARR by : $4.536B (~900%+ growth). Off high 30's - low 40% projected margins + hyperscaler qualifications. This is wild. But there was a $250M ATM, but that's typically pennies compared to the projection. This part is extremely interesting: -> Management stated that demand and capacity for 800G, 1.6T modules could surge nearly 10x by mid-2027. This is also a large tailwind for epiwafer companies too like $IQE and Landmark and more upstream like $AXTI. $AAOI is a core hold over 2026-2027, but there's always execution risks if they can deliver. $25-30B MC projections sound surreal but that's how wild the earnings was if they hit $4.35B ARR, off 900%+ growth (and photonics scale up is likely to continue even further into 2028-2029)
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AI供应链受云厂商资本开支驱动，基本面改善非随机反弹。
@KyleWilson77344 它跟随 $GOOGL 超大规模云服务商的资本支出流向韩国存储、日本瓶颈/材料，以及台湾晶圆代工厂如 $TSM 或 ASIC 设计商如联发科。这主要是运营利润、极端增长以及韩国/日本治理结构的变化，而不仅仅是一次随机的反弹。
原推 ↗英文原文
@KyleWilson77344 Its following $GOOGL hyperscaler capex flows into Korean memory, Japanese bottlenecks/materials, and Taiwan fabs like $TSM or ASIC designers like Mediatek. It’s mainly operating profit, extreme growth, and governance changes in Korea/Japan, not just a random rally.
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韩国指数由三星和SK海力士驱动，盈利强劲，类比台积电具长期做多价值。
$KOSPI 和 $EWY，人们不应该试图对韩国指数进行技术分析(TA)或将其与白银等资产进行比较。 韩国指数正处于价格发现阶段，主要由两只股票带动： 摩根士丹利(Morgan Stanley)和麦格理(Macquarie)对其营业利润的预测如下： 三星(Samsung) 2026年：约1820亿 - 2108亿美元 2027年：约2351亿 - 3337亿美元 SK海力士(SK Hynix)： 2026年：约1329亿 - 1905亿美元 2027年：约1670亿 - 3128亿美元 如果SK海力士的估值为5000亿美元，而其2026和2027财年的预测营业利润为5100亿美元。 这看起来简直荒谬。（右侧为麦格理的多头情景预测） 我可能会更倾向于参考摩根士丹利的预测（这更加务实），但核心观点依然成立：这些公司的盈利能力极强。 如果三星未来交易价格达到2.5万亿美元（目前为1万亿美元），我也不会感到惊讶。 它给人的感觉就像两年前的 $TSM 一样，看起来是一个显而易见的做多机会。
原推 ↗英文原文
$KOSPI and $EWY, South Korea’s index is something people shouldn’t try to TA or compare to stuff like Silver. SK index is in price discovery mode as it’s carried by two stocks: Whose operating profit projections from Morgan Stanley and Macquarie are: Samsung 2026: ~$182.0B - ~$210.8B USD 2027: ~$235.1B - ~$333.7B USD SK Hynix: 2026: ~$132.9B - ~$190.5B USD 2027: ~$167.0B - ~$312.8B USD If SK Hynix is valued at $500B and their projected operating income for FY 2026 and 2027 is $510B. It just looks silly. (From Macquarie's bull case projections on the right) I’d probably go off Morgan Stanley projections instead (which is a lot more grounded) but the point still stands that these companies are just so profitable. Wouldn’t be surprised if Samsung were trading at $2.5T in the future (from $1T now). It does have that same feeling as $TSM 2 years ago, where it looks like a no-brainer long.
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博主复盘YTD 477%收益，归功于AI供应链瓶颈研究与亚盘资金轮动策略。
年初至今在 $NVDA 财报后表现： 477.27%。 大部分收益源于我过去几个月的研究： 例如从近期上涨数百倍的 $AXTI 磷化铟(InP)瓶颈中获利。 或者利用 Jane Street 因 SK 海力士/三星的隐含波动率(IV) Vega 扩张而在 $EWY 上的交易获利。 许多其他交易在短期内也获得了百分之几十甚至数百%的回报。 比如 $XLU 一周上涨 3%，以及 $MU 和 $SNDK 史诗级的方向性反弹。 人们通常喜欢看这样的最终结果，这确实最引人注目。 但当前收益的大部分基础早在几个月前就已奠定，从对 $LITE 的 Google BOM 分析，到去年对 Unimicron、Nittobo 甚至 $TSM 的半导体供应链瓶颈研究。 即使现在，我也在为未来播种，例如对电力/电网板块 $XLU 的分析，或理解上风险较高但作为光子学供应链中 $LITE 供应商的 $IQE。 我通常遵循以下流程： > 研究帖子（初始论点） > 将其转化为实际想法和交易 > 对 Alpha 进行后续尽职调查（例如 SMM InP 定价） > 当行情上涨时庆祝。 跨行业，且通常关注有动量的板块。 而不是死守单一个股，或只做分析而不交易。 我认为人们可能觉得这种风格令人耳目一新。 我认为最近我只是在利用两个不同的趋势： 1. 聚焦 AI 供应链中的活跃瓶颈 - 存储：$SNDK、$MU、SK 海力士、三星、$SIMO - 光子学：$LITE、$COHR、$AAOI、$IQE、$AXTI 和 Yamamura - 电力电网：$XLU - 先进封装/良率：$AMKR、$ONTO、$CAMT、$KLIC、$FORM 和 $AEHR 2. 然后聚焦资金轮动至台湾、日本、韩国。 基本上上周资金轮动是从美国/中国 -> 韩国、台湾、日本。 像 $EWJ 这样的 ETF 或 Nanya Plastics 等个股正在起飞。 - 台湾股票基金最近单周净流入超过 10 亿美元，这是几个月来首次 - 对于日本：高盛图表显示 +0.37 的标准差净买入 - 对于韩国，外国人在 2 月上半月净买入约 1.37 万亿韩元（约 10 亿美元） 而高盛图表显示北美空头活动令人震惊的 -1.52 标准差。 所以这可能是我对 $HOOD 投资者因缺乏亚洲股票敞口而表现不佳的假设原因。 原因是超大规模云厂商的资本支出交易流向供应链中的亚洲国家（例如，一些分析师预测 SK 海力士 2027 年远期市盈率仅为 2.2，这很荒谬）-> 机构跟随资金流进行资本轮动。 至于一些反思，我真惊讶于如今有多少人阅读我的帖子，这真的让我感到谦卑！ 我通常不太庆祝（去年我只做过一次，当时是 1 年回报 600%+），但我惊讶于今年我在时机把握和论点正确率上的好运。 我并不完美，我确实会犯一些错误，但更重要的是我每天绿色的日子多于红色的。 但感谢大家，我在两三个月内从小账户增长到了 83K！
原推 ↗英文原文
Year to Date post $NVDA earnings: 477.27%. Majority of the gains are the result of the research I've done the past few months: From the $AXTI's InP chokepoint that went up few hundred percent recently. or profiting off Jane Street from $EWY IV vega expansion for Sk Hynix/Samsung. Many others were tens of % or hundreds of percent returns each in a short timeframe. Like $XLU going up 3% in a week to the epic directional rally of $MU and $SNDK. I think people just like to see the end results like this, which is understandably the most eye-catching. But most of the groundwork for the current returns was laid out months ago from $LITE Google BOM analysis to semi supply chain bottlenecks from Unimicron, Nittobo, and even $TSM last year. Even now I’m planting the seeds for the future with analysis on $XLU for the power/grid sector, or understandably higher risk companies like $IQE as a $LITE supplier for the photonics supply chains. I typically shift from: > Research Posts (Initial thesis post) > Map that into actual ideas + trades > Follow-Up DDs on Alpha (eg. SMM InP pricing) > celebrate when things go up. cross-industry, and typically on sectors with momentum. Rather than sticking single stocks, or just analysis only (instead of trading). And I think people might have found this style refreshing. I think recently, I’m is just capitalizing on two different trends: 1. Focusing on active bottlenecks in AI supply chains - Memory like $SNDK, $MU, Sk Hynix, Samsung, $SIMO - Photonics like $LITE, $COHR, $AAOI, $IQE, $AXTI, and Yamamura - Power Grid like $XLU - Advanced Packaging/Yields - $AMKR, $ONTO, $CAMT, $KLIC, $FORM, and $AEHR 2. Then focusing on Capital Rotation into Taiwan, Japan, Korea. Basically past week capital rotation was rotating from US/China -> Korea, Taiwan, Japan. ETFs like $EWJ or individual stocks from Nanya Plastics have been taking off. - Taiwan Equity Funds recently took in over $1 billion in a single week for the first time in months - For Japan: GS chart's +0.37 long buying - For Korea, foreigners were net buyers of roughly 1.37 trillion won (~$1 billion USD) in the first half of February While GS chart shows a staggering -1.52 SD in short activity for North America. So that's probably my assumption on why $HOOD investors haven't been doing too well from a lack of Asian equity exposure. The reason being Hyperscaler capex trade flows into Asian countries in the supply chains (eg. Some analysts projected Sk Hynix to have 2.2 2027 fwd p/e, which is absurd) -> institutions following the flow with capital rotation. As for some reflection, I'm genuinely surprised by how many people read my posts nowadays and it’s really humbling! I don’t really celebrate this much (last year I only did one time with a 600%+ 1Y return) but I’m amazed by how lucky I am this year with timing and getting a lot my thesis right. I’m not perfect, I do get a few things wrong, but what’s more important is I get more green than red every day. But thanks to everyone, I grew from a little account to 83K in like two or three months!
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NVDA回调属健康调整，AI投资核心仍看台积电与云厂商资本开支。
我目前只是持有仓位，仍在四处寻找机会。发这条推文只是不想让大家因为 $NVDA 下跌 5% 就觉得世界末日到了。这是健康的回调，在我看来，AI 交易中最重要的是关注 $TSM 和超大规模云服务商( Hyperscaler )的资本支出(capex)，而这些数据我们都有了。
原推 ↗英文原文
I'm just sitting on positions, still shopping around. Just wanted to make a post so people don't think the world is over because $NVDA dropped 5%. Healthy correction, most important thing to look out for with the AI trade is $TSM / Hyperscaler capex IMO and we already have those.
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英伟达财报虽超预期但股价跌，长期看AI加速，应关注云厂商资本开支。
$NVDA 远超预期，预计营收780亿美元，高于预期的720亿美元。 该股在财报发布后下跌4.82%。 这是一个有争议的观点，但在我看来，英伟达的财报是一个部分滞后指标。 最需要关注的是超大规模云服务商(Hyperscaler)的资本支出(Capex)预测以及 $TSM 的预测。 市场倾向于认为 $SNDK 等存储芯片、来自 $TSM 的半导体、电力/电网等其他板块，将主要依据上述两项指标涨跌，因为它们代表了整个人工智能(AI)行业。特别是随着从 $GOOGL 到 $AMZN 的超大规模云服务商纷纷加速构建其专用集成电路(ASIC)（除英伟达外）。 英伟达大幅超预期仅仅是已实现的确认，表明人工智能交易可能会加速。 短期流动性和做市商(MM)头寸影响周度价格，但长期来看，情况似乎将进一步加速。
原推 ↗英文原文
$NVDA blows away expectations, with $78B in revenue projected vs. $72B. The stock dropped 4.82% on the earnings. Controversial opinion but Nvidia earnings is a partially lagging indicator to me. The #1 thing to look out for is hyperscaler capex projections and $TSM projections. Markets like $SNDK in memory, semis from $TSM, power/grid and others are likely to rise/fall based on those two in specific as they represent the entire AI sector as a whole. Especially as hyperscalers from $GOOGL to $AMZN rush out to build their on ASICs (apart from Nvidia) Nvidia beating by a wide margin is just realized confirmation that the AI trade is likely to accelerate. Short term liquidity and MM positioning affect weekly prices, but long term, things look to accelerate even further.
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AI从训练转向推理，电网成新瓶颈，电力股或迎起飞。
好问题！答案是宏观/芯片。2023-2024年AI起步时，美联储将利率大幅上调至5%+。公用事业股通常类似债券替代品，因为基建背负大量债务。当时最佳选择是$NVDA，因为硅/芯片短缺。2023年市场不太关心电网电力，因为服务器尚未联网。但现在Mag7囤积的数百万芯片终于开始运行。虽然$TSM仍是瓶颈，但美国电网可能是最大瓶颈之一。此外，我们从训练（约占AI电力预期的10-15%）转向推理，后者由数十亿人24/7使用。因此，在去年降息、今年进一步降息以及前所未有的推理扩张后，现在可能是电力/电网起飞的时候。
原推 ↗英文原文
Great question! Answer to that is macro/chips. 2023, 2024 when AI first started taking off, fed was jacking rates up to 5%+. Utilities are often kinda like bond proxies since they carry a lot of debt for infra buildout. Best play then was $NVDA since silicon/chips were in shortage. Market didnt really care about grid power back in 2023 because servers weren' connected. But now there's millions of chips hoarded by mag7 that are finally getting turned on. So while $TSM is still a bottleneck, US power grid is likely one of the biggest ones. Also we've shifted from training (which was like 10-15% of AI power expectancy) into inference, which just runs 24/7 used by billions of people. So after rate cuts last year, more this year, and just unprecedented inference expansion, probably now is the time for power/grid to take off.
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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. $AVGO - 美国 ~415 亿 -> ~628 亿-651 亿 - ~847 亿-933 亿美元 当然，这些是基于分析师预测的粗略估计。 然而，从总体趋势来看，这看起来像是一种杠杆式赌注，即人工智能基础设施建设完成后将带来自由现金流(FCF)的分红回报。 但明显的赢家似乎是英伟达、三星、SK 海力士、博通和台积电。 随着超大规模云服务商(hyperscalers)中部分公司陷入债务，他们将资产负债表转移给这些供应商，期望从人工智能支出中获得长期投资回报率(ROI)。
原推 ↗英文原文
@LuffyDDK They literally are going into debt lol https://t.co/A4KDf93pYk
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$EWY期权IV被低估，杠杆衍生品将推高波动率，看涨期权或受益。
$EWY 看起来即将变得更加波动。 做市商可能没有正确地将跳跃期权隐含波动率(IV)定价，因为 IV 可能会扩张至 55% 以上。 有两个原因源于未实现（但即将到来）的波动性。 - 10 倍杠杆的三星/SK 海力士通过去中心化金融(DeFi) 已经出现，因为它们开始产能爬坡。 如果规模变得很大，这会在期货（如 $EWY）的清算和对冲上产生大量的未实现波动性。 $EWY 由一半的 SK 海力士/三星组成，而韩国指数本身已经非常波动。 - 三星和 SK 海力士的 2 倍杠杆单只股票 ETF 即将到来 2026 年 1 月，韩国监管机构正式宣布允许国内 2 倍杠杆单只股票 ETF。 同样，这增加了未实现的波动性。 但就目前的期权 IV 定价而言，$EWY 的波动幅度相当极端。 如果非要打个比方，它的百分比波动范围肯定大于 $MRVL（IV 为 55-56%，而 $EWY 仍为 41%）。 三星的对应物可能是 $MU（约 70%），SK 海力士更接近 $SNDK（91%），但可能在 70-80% 范围内。 而且……韩国指数基本上就是 SK 海力士和三星。 随着三星/SK 海力士开始从存储超级周期中重新评级，这种波动性可能会成为新常态。但做市商可能仍然在使用广义自回归条件异方差(GARCH) 模型或基于长期平均值（当时指数完全平坦）的波动率预测投影。 来自 10 倍杠杆衍生品的数量将仅仅为这些个股的对手方和做市商创造更多的对冲/波动性 -> 这会滞后地反映在 $EWY 的定价中。 简而言之：随着做市商未能正确定价 IV 和未实现波动性，$EWY 看涨期权可能会从 Vega 扩张中受益。
原推 ↗英文原文
$EWY looks like it's about to get more volatile. Market makers might not be pricing in leap option IV correctly as IV may expand past 55%. Two reasons due to unrealized (but upcoming) volatility. - 10X leveraged Samsung / Sk Hynix through Defi are here as they begin ramp-up. This creates a great amount of unrealized volatility from liquidations and hedging on futures like $EWY if this ends up becoming large. $EWY is half Sk Hynix / Samsung, and the South Korean index is already really volatile. - 2x leveraged single-stock ETFs for Samsung and SK Hynix are coming In January 2026, South Korean regulators officially announced they will permit domestic 2x leveraged single-stock ETFs. Again, this just adds to unrealized volatility. But as it stands right now regarding option IV pricing. $EWY moves pretty extreme amounts. If I had to give a comparison, it definitely moves in greater % ranges than $MRVL, which sits at 55-56% IV (while $EWY is 41% still). Samsung's equivalent is probably $MU (70%-ish), Sk Hynix is closer to $SNDK (91%) but likely in 70-80% range. And... South Korea's index is basically just Sk Hynix and Samsung. This volatility would likely be the new norm as Samsung/SK Hynix begin their re-rating from the memory supercycle. But MMs are still probably using garchr models or volatility forecasting projections against long-term averages (where index was completely flat) And the amount of leveraged derivatives from 10x will just create more hedging/volatility on these individual stocks from counterparties and market makers -> that gets priced in late to $EWY. TLDR: $EWY calls likely benefit from vega expansion as MMs aren't pricing in IV and unrealized volatility correctly.
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利用韩国指数期权定价错误，做多$EWY看涨期权以捕捉存储周期波动率扩张。
指数下跌-2.46%。整个期权链全线飘红+13-20%。 这就是当你发现做市商在期权链中存在定价错误时会发生的情况。 话虽如此，隐含波动率(IV)回升至更合理的38-39%，但个别组件（SK海力士、三星）的波动率可能仍有几个百分点的偏差。 （引用内容翻译）： 我发布在“淋浴思考”频道的交易思路： 韩国指数波动率套利并利用布莱克-斯科尔斯模型。 $EWY 看涨期权似乎存在定价错误。 这是贝莱德旗下的韩国指数，主要由存储芯片（三星电子、SK海力士）构成。 尽管该指数被定价为普通指数的隐含波动率，但个股每日波动2-5%+，且1年涨幅达136.25%。 三星波动剧烈。SK海力士波动剧烈（例如预估65%-80%）。 但通过指数组合后的定价远低于低贝塔值的 $GOOGL (37.33%) 和 $AMZN (39.12%)，隐含波动率仅约32%。 我观察 $EWY 一段时间，它确实看起来波动很大。 至于定价，我猜测做市商(MM)基于历史平均值（5-10年）定价隐含波动率，当时韩国指数完全持平。他们预期两年后的看涨期权会回归均值。 但这种波动率应成为新常态，因为市场正在定价新的存储超级周期（例如 $TSM 从30% IV升至46.2% IV）。 看涨期权将从三星+SK海力士带动指数上涨中受益。 主要好处是你能获得 $KORU 无法提供的 Vega 扩张。 你也无法像美国个股那样获得这种期权做市商的压盘效应，因为这是韩国国家指数且期限较长。 简而言之：个别组件SK海力士+三星具有高波动性。 它们基本占指数的一半，但指数期权以低波动率定价，或许是因为基于过去5-10年的历史数据。 看涨期权将从未正确定价的 Vega 扩张中受益，因为做市商的前瞻波动率估计过于锚定于历史已实现波动率，而过去5-10年 $EWY 的波动率很低。
原推 ↗英文原文
Index down -2.46%. The entire option chain green +13-20%. This is what happens when when you find mispricing in option chains by market makers. That being said it’s a more respectable 38-39% IV, but maybe few percent off (SK Hynix, Samsung) individual components volatility still.
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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)。
原推 ↗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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列出台积电营收预测，并提及特斯拉营业利润差异。
@XDJoeLee 这是不言而喻的。 $TSM（市值约1.9万亿美元）根据预测： ~622亿美元（2025年） -> ~858亿 – 874亿美元（2026年） -> ~1033亿 – 1053亿美元（2027年）。 差点没把 $TSLA 算进去，因为它的营业利润与其他公司差距太大，但想了想大家应该会有兴趣。
原推 ↗英文原文
@XDJoeLee That's a given. $TSM (~$1.9T MC) from projections: ~$62.2 Billion (2025) -> ~$85.8B – $87.4 Billion (2026) -> ~$103.3B – $105.3 Billion (2027). Almost didn't include $TSLA due to gap between operating income with the rest but thought people would be interested.
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利用$EWY期权定价错误，做多看涨期权以捕捉存储超级周期带来的维加扩张。
我发布在“淋浴思考”频道的交易思路： 韩国指数波动率套利，并利用布莱克-斯科尔斯模型(Black-Scholes models)。 $EWY 的看涨期权似乎定价错误。 这是贝莱德(Blackrock)的韩国指数，主要由存储芯片（三星电子、SK海力士）构成。 该指数每日波动2-5%以上，尽管隐含波动率(IV)定价像普通指数，但过去一年仍上涨了136.25%。 三星波动大。SK海力士波动也大（例如估算65%-80%）。 但通过指数组合后的定价远低于低贝塔值的 $GOOGL (37.33%) 和 $AMZN (39.12%)，约为32%的IV。 我观察 $EWY 一段时间，它确实看起来很波动。 至于定价，我猜测做市商(MMs)基于历史平均值（5-10年）定价IV，当时韩国指数完全持平。他们预期两年后的看涨期权会均值回归。 但这种波动应成为新常态，因为市场正在定价新的存储超级周期（例如 $TSM 从30% IV升至46.2% IV）。 看涨期权将从三星+SK海力士带动指数中受益。 主要好处是你无法从 $KORU 获得的维加(Vega)扩张。 你也无法像美国个股那样获得期权做市商的压盘效应，因为这是韩国的国家指数且期限较长。 简而言之：个别成分股SK海力士+三星具有高波动性。 它们基本上占指数的一半，但指数期权以低波动性定价，可能是因为基于5-10年的历史数据。 看涨期权将从维加扩张中受益，因为做市商的前瞻性波动率估算过于锚定于历史已实现波动率，而过去5-10年 $EWY 的历史波动率较低。
原推 ↗英文原文
Trade idea that I published to my shower thoughts channel: Korean Index volatility arbitrage and taking advantage of Black-Scholes models. $EWY long options seem mispriced. This is Blackrock's Korea Index, which is majority memory (Samsung Electronics, Sk Hynix). The stock swings 2-5+% a day, and is up 136.25% 1Y, despite priced like a normal index IV. Samsung is volatile. SK Hynix is volatile (eg. 65% - 80% est). But the combination of the two through the index is priced way less than both low beta $GOOGL (37.33%) and $AMZN (39.12%) at ~32% IV. I've been watching $EWY for a bit and it does look volatile. As for pricing my guess is MMs priced in IV based on historical averages (5-10 years), where the Korean index was completely flat. And were expecting calls 2 years out to revert to the mean. But this volatility should be the new norm as markets price in the new memory supercycle (eg. $TSM went from 30% IV to 46.2% IV). Long calls should benefit from both Samsung + Sk Hynix carrying the index. And the main benefit is vega expansion that you won't get from $KORU. You also can't get this option MM pinning like individual US stocks since this is Korea's national index and long term. TLDR: Individual components SK Hynix + Samsung are highly volatile. They're basically half of the index, but options in index are priced with low volatility, perhaps due to historical 5-10 year data. Long calls benefit from vega expansion that weren't priced in correctly as MM forward vol estimates are anchored too heavily on historical realized vol, which was low for $EWY over the past 5-10 years
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供应链瓶颈等权重组合周涨12.83%，全红表现惊人。
基于供应链映射的“瓶颈ETF”。 没有一只股票是红色的（下跌）。 等权重组合1周收益：+12.83%。 名单： $LITE: +31.68% $AMKR: +28.7% Disco: +24.35% $GLW: +23.57% $COHR: +23.5% $ONTO: +18.4% $CAMT: +17.7% $TSM: +15.8% $ON: +15.8% Samsung: +15.4% $KLAC: +12.7% $APH: +11.6% $MRVL: +11.4% $MU: +10.6% $MOD: +10.6% Sk Hynix: +10.31% $VICR: +9.6% $AVGO: +9.46% $SBGSY: +9.27% $ETN: +9.1% $BESIY: +8.53% $IFNNY: +7.37% $MPWR: +6.85% $SNDK: +6.4% $QLCM: +6.12% $AMD: +6.01% Mediatek: +6% Kioxia: +3.68% $INTC: +1.62% 我觉得机构是不是直接把上周框架里的这份名单全买了？ 这种表现水平简直太疯狂了。
原推 ↗英文原文
The "Bottleneck ETF" from supply chain mapping. Not a single name red. Equal weighted results 1W: +12.83%. List: $LITE: +31.68% $AMKR: +28.7% Disco: +24.35% $GLW: +23.57% $COHR: +23.5% $ONTO: +18.4% $CAMT: +17.7% $TSM: +15.8% $ON: +15.8% Samsung: +15.4% $KLAC: +12.7% $APH: +11.6% $MRVL: +11.4% $MU: +10.6% $MOD: +10.6% Sk Hynix: +10.31% $VICR: +9.6% $AVGO: +9.46% $SBGSY: +9.27% $ETN: +9.1% $BESIY: +8.53% $IFNNY: +7.37% $MPWR: +6.85% $SNDK: +6.4% $QLCM: +6.12% $AMD: +6.01% Mediatek: +6% Kioxia: +3.68% $INTC: +1.62% I feel like institutions just bought this entire list from last week's framework? This level of performance is pretty crazy.
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建议散户简化策略，聚焦核心标的如台积电，而非追踪复杂上游瓶颈。
对于绝大多数散户而言： 如果你想搭乘当前资本支出(capex)趋势的快车，我认为以下这些是必须持有的标的： 1. 存储(Memory) - $MU, 三星, 海力士, $SNDK 2. 光子学(Photonics) - $LITE, $COHR 3. CoWoS/晶圆代工(Foundry)/先进封装(Advanced Packaging) - $AMKR, $TSM, $INTC 随着向产业链上游深入，存在许多细微的瓶颈环节，例如我常提到的： 光子学的基板/原料层面的 $AXTI，共封装光学(CPO)中ELS领域的利基玩家如 $AAOI，良率相关的 $TER 或 $AEHR，硅光(SiPh)领域的 $TSEM。甚至是数据中心中从日月光(unimicron)到其他厂商的基板铜用量。 我的观点是，对于绝大多数(99%)的人来说，你可以选择“简单模式”生活，无需追踪 X 上的每日更新或 $AMKR 的资本支出流向。 只需关闭大脑中关于供应链映射/更新的部分，坚持持有像 $TSM 这样处于核心地位的标的，有时是更好的选择。 它很可能也会跑赢大部分上游玩家。
原推 ↗英文原文
For the vast majority of retail: If you want to ride the capex trends happening right now, these are probably must have imo: 1. Memory - $MU, Samsung, Sk Hynix, $SNDK 2. Photonics - $LITE, $COHR 3. CoWoS/Foundry/Advanced Packaging - $AMKR, $TSM, $INTC There's a lot of nuanced bottlenecks as you go upstream I talk about like : $AXTI in the substrate/feedstock level for photonics, random niche players like $AAOI for ELS in CPO. $TER or $AEHR for yields, or $TSEM for SiPh. Or even copper usage in DCs to substrates from unimicron to others. My opinion is that for the vast 99% of people, you can live life on easy mode without tracking day-to-day updates on X or where the capex spend from $AMKR goes. Just turning your brain off from all the supply chain mapping / updates, then just sticking with things like $TSM which is the center of it all is sometimes the better thing to do. It probably outperforms a large percentage of the upstream players as well.
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展示含杠杆的AI与加密多头组合，强调风险管理避免全仓小盘股。
组合权重是我被问得最多的问题。 以下是我的投资组合构成： 35% 存储超级周期 _ 10% 三星电子 10% 海力士 10% $MU 5% $SNDK 25% 数字资产敞口 _ 10% $IBIT 5% $COIN 5% $HOOD 2.5% $CRCL 2.5% $SOL 15% 金融科技/广告 5% $RDDT 5% $ETOR 5% $TTD 15% 数据中心 - 10% $NBIS 5% $CRDO 10% 半导体 _ 5% $INTC 5% $TSM 10% 光子学 5% $LITE 2.5% $AXTI 2.5% $COHR 5% 对冲/现金 5% 对冲（例如 $VIX 或 $QQQ 看跌期权，尤其是现在） 10% 小盘股“登月”标的 2.5% $VPG 2.5% $LPTH 1.5% $VLN 1.5% $AIRO 1% $OSS .5% $DPRO .5% $CPSH 这使用了轻微杠杆，例如 1.25 倍。 额外杠杆（最高 1.5 倍）： - 波段交易（例如 $GLXY） 我的投资组合看起来与此大致相似，但包含更多随机名称如 $AEHR 或 欣兴电子，且权重不同。 这是做多半导体 + AI 超级周期，并在加密货币中进行复苏交易。如果（谷歌、Meta、微软）削减支出，这将造成打击，但他们刚刚增加了资本支出。 但这只是展示我如何进行风险管理，全仓押注像 $POET 这样的小盘股是非常危险的。
原推 ↗英文原文
Portfolio weightings is my most common question. Here’s what my portfolio looks like: 35% Memory Supercycle _ 10% Samsung Electronics 10% Sk Hynix 10% $MU 5% $SNDK 25% Digital Asset exposure _ 10% $IBIT 5% $COIN 5% $HOOD 2.5% $CRCL 2.5% $SOL 15% Fintech/Advertising 5% $RDDT 5% $ETOR 5% $TTD 15% Datacenter - 10% $NBIS 5% $CRDO 10% Semi _ 5% $INTC 5% $TSM 10% Photonics 5% $LITE 2.5% $AXTI 2.5% $COHR 5% Hedge/Cash 5% Hedge (Eg. $VIX or $QQQ Puts, especially around now) 10% Small Cap Moonshots 2.5% $VPG 2.5% $LPTH 1.5% $VLN 1.5% $AIRO 1% $OSS .5% $DPRO .5% $CPSH This is using slight margin, eg 1.25x. Additional Margin (up to 1.5x): - Swing Trades (eg. $GLXY) My portfolio looks vaguely similar to this, but with more random names like $AEHR or Unimicron and different weightings. This is long semi + AI supercycle, with a recovery trade in Crypto. If (Google, Meta, MSFT) cut spending this would hurt, but they just increased capex spend. But this is just showing how I do risk management, it’s very risky to full send it into micro caps like $POET.
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对比供应链瓶颈巨头与未获大厂认证的投机性小盘股。
@B38B37 这些都是供应链上已知的大型瓶颈供应商，如 $TSM 或 $GLW。$POET 是一家市值仅数亿美元的投机性标的，尚未获得超大规模云服务商（Hyperscaler）的资质，因此目前不完全符合该描述。但它属于一种“登月式”（Moonshot）的选股。
原推 ↗英文原文
@B38B37 These are all big known bottleneck suppliers on the supply chain $TSM or $GLW. $POET is a few hundred million MC speculative pick without hyperscaler qualification, so they don’t quite fit that description yet. But it is a moonshot type pic
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梳理AI半导体供应链瓶颈，看好存储、光子及台积电，指出中游为定价关键。
以下是我对 Semivision 瓶颈总结的 TLDR（太长不看版）及其映射到投资框架的内容： HBM（高带宽内存）： HBM4 (16Hi) - 三星，SK 海力士，$MU HBF（高带宽闪存）- $SNDK，Kioxia Base Die（基础晶圆）- $TSM，三星（内部） CPO（共封装光学）/光子学： 玻璃基板：$GLW，$INTC，Ibiden 光学：$LITE，$AVGO，$COHR，$MRVL 电力传输： 电压：$MPWR，$VICR 散热：$VRT，$NVT，$MOD 电网：$ETN，$SBGSY SiC/GaN（碳化硅/氮化镓）：$ON，$IFNNY 机架：$APH N2 产能： $TSM，$AMD（数据中心先行者），$QLCM，联发科，$NVDA 先进封装： 良率：$CAMT，$ONTO，$KLAC OSATs（外包半导体组装与测试）：$AMKR $BESIY，Disco Semivision 的总结： 1. “先进封装产能与良率控制” 2. “HBM 生态系统协调” 3. “电力传输创新（SiC、GaN PMICs、机架级电源架构）” 4. “CPO/光子学集成能力” 5. “数据中心基础设施作为半导体收入实现的‘隐性限制因素’” 正如你可能知道的，我对上述的存储/光子学领域（如 SK 海力士/三星，$SNDK，$MU，$LITE）以及 $TSM 最为看好。 我可能会稍微向上游延伸，比如 $AXTI（磷化铟前驱体），但中游玩家是瓶颈所在，并掌控大部分定价权。 但为了简化普通散户投资者的理解，我添加了相关公司的评论。
原推 ↗英文原文
Here's my TLDR + mapped into investment framework from Semivision bottleneck summary: HBM: HBM4 (16Hi) - Samsung, Sk Hynix, $MU HBF - $SNDK, Kioxia Base Die - $TSM, Samsung (internal) CPO/photonics; Glass Substrate: $GLW, $INTC, Ibiden Optical: $LITE, $AVGO, $COHR, $MRVL Power Delivery: Volatage: $MPWR, $VICR Thermal: $VRT, $NVT, $MOD Grid: $ETN, $SBGSY SiC/GaN: $ON, $IFNNY Rack: $APH N2 Volume: $TSM , $AMD (First mover dc), $QLCM, Mediatek, $NVDA Advanced Packaging: Yield: $CAMT, $ONTO, $KLAC OSATs: $AMKR $BESIY, Disco Semivision's summary: 1. "advanced packaging capacity and yield control" 2. "HBM ecosystem coordination" 3. "power delivery innovation (SiC, GaN PMICs, rack-level power architectures)" 4. "CPO/photonics integration capability" 5. "data center infrastructure as a “hidden limiter” to semiconductor revenue realization" As you probably know, I'm probably most bullish on memory/photonics like Sk Hynix/Samsung, $SNDK, $MU, $LITE above. And $TSM. I probably go a bit more upstream like $AXTI for InP precursors, but midstream players are the chokepoint + control most of the pricing. But just added commentary of related companies to topics to make things simpler for the regular retail investor.
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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。
原推 ↗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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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。
原推 ↗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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白银暴跌引发连锁清算，建议转向AI及高现金流标的防御。
市场正经历清算级联效应。白银的崩盘现已蔓延至加密货币及美/外股市。具体情况如下： 以下是预期走势： - $BMNR（加密货币） - $RKLB（高贝塔值） - $SNDK（AI） - 至三星（外国股票）。 “Warsh”美联储主席提名是引发抛售的初始触发因素，市场将其视为“鹰派”->量化紧缩（Quantitative Tightening）。然而，这是一个误解，因为美联储主席很可能与特朗普的政策保持一致，且由于AI因素，其近期立场偏向短期鸽派+降息。 然而，抛售的技术性原因是CME+交易所控制强制白银保证金清算。随着白银日内暴跌33%，机构被迫清算其他标的并进行对冲。因此，我们看到了： 1. 恐惧传染——当避险金属如此暴跌时，会在其他板块引发恐慌。 2. 避险情绪——投资者恐慌性抛售“风险”资产和股票/转向美元和国债。 为了进行防御性操作： - 最好将投机性标的重新配置为符合新政策的自由现金流（FCF）/盈利型多头头寸。 - 如 $GOOGL、$NVDA 跌至 $MU、$TSM、$JPM、三星等标的将受益最大。 - 从 $PYPL 到 $SNAP 等已处于低位（具有强劲预期自由现金流）且被进一步抛售的股票，呈现出不错的反弹上行空间。 尤其是鉴于美联储主席预计对从AI到银行业的许多板块持看涨态度，且由AI增长+生产力推动的降息预期强烈。 警告： - 更多不产生巨大自由现金流的投机性小盘股（从 $ONDS 到 $RKLB）可能因与高贝塔板块抛售的相关性而面临更大风险。 - 像 $BMNR 这样持有非流动性资产（例如Mr. Beast公司2亿美元）的杠杆基金，以及像 $QBTS 或 $RGTI 这样的投机性标的，可能会最终看到重置/清零。 - 像 $JD 到 $BABA 这样的外国市场标的或像 $MELI 这样的新兴市场标的可能会受到流动性流失的影响。 当然，日内交易者可能会在高贝塔标的的反弹时机上大显身手（例如，如果 $ETH 闪崩12%至$2.1K -> 恢复至$2.3K）。 话虽如此，这并不是说“卖出高贝塔”。 鉴于以太坊从$3k+跌至$2.18k，这只是对目前在高贝塔板块使用保证金的人发出的警告： 如果高贝塔股票出现持续抛售，风险相当大。（我个人将以太坊作为代理指标）。 这只是个人市场观点，但总体而言，随着中期选举临近+更多预期的降息+财报表现创历史新高（例如 $SNDK 的爆发），对市场保持极度看涨是好的。 市场在中期选举前看到绿色V型复苏只是时间问题。 基本面没有改变，但表象和短期流动性改变了。
原推 ↗英文原文
Markets are seeing liquidation cascades. Silver's crash is now extending into other markets like Crypto and US/Foreign stocks. Here's what's happening: And here's what to expect from: - $BMNR (Crypto) - $RKLB (High-Beta) - $SNDK (AI) - to Samsung (Foreign). The "Warsh" Fed Chair nomination was the initial trigger that caused the selloff as markets viewed him as a "Hawk" -> Quantitative Tightening. However, this is a mistake as the fed chair is likely aligned with Trump's policies, and his recent stance is dovish short term + rate cuts, due to AI. However, the technical reason for the selloff was CME + Exchange controls forcing margin liquidations on Silver. As silver crashed 33% intra-day, institutions are forced to liquidate other names and hedge. So, we're seeing both: 1. Fear Contagion - when a safe haven metal plummets this much, this causes a panic across other sectors. 2. Flight to Safety - investors panic-sell "risky" assets and stocks / move to U.S. Dollar and Treasury Bonds. To play defensive: - It's best to reposition speculative names into FCF/profit generating long positions aligning with these new policies. - Names like $GOOGL, $NVDA down to $MU, $TSM, $JPM, Samsung, and others stand to benefit the most. - Stocks that are already at lows (with strong expected FCF) from $PYPL to $SNAP that are being sold off even more present decent recovery upside. Especially since the Fed chair is expected to be bullish for many sectors from AI to Banking, with rate-cuts fueled by AI growth + productivity. For a warning: - More speculative small cap names (that don't generate massive FCF) from $ONDS to $RKLB may be more at risk due to correlation to high-beta sector selloffs. - Leveraged funds like $BMNR with iliquid assets (eg. $200M in Mr. Beast's company) to speculative names like $QBTS or $RGTI may finally see a reset/wipeout. - Foreign market names like $JD to $BABA or emerging market names like $MELI may be impacted from a liquidity drain. But of course, day-traders may have a field day timing rebounds on high-beta names (eg. if $ETH flash crashes 12% to $2.1K -> recovery to $2.3K). That being said this is not saying "Sell High-Beta". This is just a warning to people with margin on high-beta sectors now that given Ethereum's flush from $3k+ down to $2.18k: There's considerable risk if there's an extended selloff on high-beta stocks. (I've been personally looking at Ethereum as a proxy). This is just personal market opinion, but generally as midterms come up + more expected rate cuts + earnings coming out higher than ever (eg. $SNDK's blowout), it's good to remain extremely bullish on the market. And it's just a matter of time before markets see a green V recovery before midterms. Fundamentals haven't changed but optics have and short-term liquidity have.
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确认坍塌后果，提示钽供应瓶颈对AI硬件供应链的潜在影响。
是的，这确实令人痛心。初步的坍塌报告发生在29日，但后果的规模刚刚得到确认。关于二级效应，许多投资者并没有深入追溯晶圆厂 $TSM 或像 $NVDA 这样的芯片制造商所使用的原材料上游，但在企业级固态硬盘(SSD)到GPU的钽(tantalum)应用中，替代品（如铌(Niobium)）非常有限。所以只是想分享这条新闻以及一些供大家调查的潜在行动项。
原推 ↗英文原文
Yes this is incredibly sad. Initial collapse reports happened on the 29th, but scale of the aftermath was confirmed just now. In regards to second order effects, many investors don't really go upstream to the raw materials that fabs $TSM or chipmakers like $NVDA use but there's limited substitutes (eg. Niobium) for tantalum in enterprise ssds to gpus. So just wanted to share the news and some potential action items for people to investigate.
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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。
原推 ↗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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梳理SiC中介层供应链瓶颈及2027年Rubin架构落地时间线。
如果你不喜欢 $WOLF，以下是 $NVDA Rubin 和超大规模客户 ASIC 潜在的碳化硅(SiC)中介层瓶颈股组合： 下游 SiC： $TSM - 用于 CoWoS 中介层的 SiC $AMKR - 用于 SiC 集成的 S-SWIFT 封装 $ASX - VIPack 平台及光学集成 中游 SiC： $KLAC - SiC 缺陷检测 $ONTO - 面板级封装+检测 $AMAT - SiC 沉积 $AEHR - SiC 检测 $ENTG - 化学机械抛光(CMP) $BESI (AS) - 混合键合设备 Disco - 70-80% 市场份额的精密切割 SiC 晶圆： $WOLF - 300mm SiC 晶圆 $COHR - 150mm 和 200mm SiC，仍在开发中 SK Siltron CSS (KRX: 034730) - 建设至 200mm Resonac (4004 TYSE) - SmartSiC 键合 NGK Insulators - 晶体生长 Kyocera - SiC 及陶瓷封装 这些都是早期供应链+活跃研究标的。 那么时间线何时到来？ 2025-2026 (Blackwell Ultra)：继续依赖硅中介层 2027 (Rubin / Rubin Ultra)：在最高端 AI SKU 中引入 SiC 中介层。 2028+：玻璃基板/SiC/金刚石中介层？ 披露：我持有上述 $AMKR, $AEHR, $ONTO, $COHR 和 $TSM。
原推 ↗英文原文
The potential SiC (Silicon Carbide) Interposer bottleneck stack for $NVDA Rubin and Hyperscaler ASICs (if you didn't like $WOLF): Downstream SiC: $TSM - SiC for CoWoS interposers $AMKR - S-SWIFT packaging for SiC integration $ASX- VIPack platform and optical integration. SiC Midstream: $KLAC - SiC defect inspection $ONTO - Panel-level packaging + inspection $AMAT - SiC deposition $AEHR - SiC inspection $ENTG - CMP $BESI (AS) - Hybrid Bonding equipment Disco - 70-80% marketshare precision cutting SiC Wafers: $WOLF - 300mm SiC wafers. $COHR - 150mm and 200mm SiC, still developing SK Siltron CSS (KRX: 034730) - Building to 200mm Resonac (4004 TYSE) - SmartSiC bonding NGK Insulators - Crystal growth Kyocera - SiC and ceramic packaging These are all early supply chain + active research. So when does this timeline hit? 2025-2026 (Blackwell Ultra): Continued reliance on Silicon Interposers 2027 (Rubin / Rubin Ultra): Introduction of SiC interposers in the highest-end AI SKUs. 2028+: Glass Substrates/SiC/Diamond Interposers? Disclosure: I own $AMKR, $AEHR, $ONTO, $COHR and $TSM above.
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发布1月25日美股评级，强烈看好AI、内存及美国供应链瓶颈股，回避高估值与稀释风险标的。
1月25日评级。欧盟关税及$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。
原推 ↗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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日企Nitto Boseki垄断AI关键材料T-glass，巨头争抢供应至2026年。
Nitto Boseki - $NBCLF | 3110: AI极端瓶颈的故事： > 1923年开始纺纱/玻璃纤维 > 做到极致 > 为网球拍创造“T-Glass”（T-玻璃） > 等待100年，所有人都需要它 > $TSM 用于 CoWoS（芯片级封装） > $APPL 用于 M-Series Ultra/Max > $NVDA 用于 Blackwell + Vera Rubin > $TSLA 用于 FSD 汽车内的芯片 > $AMD 用于 MI300/MI400 AI 加速器 > $ANET 用于 800G 到 1.6T 和 3.2T > 苹果、英伟达和台积电争夺供应 > 已售罄至 2026 年 > 苹果、英伟达和高通派团队驻厂，字面意义上向这家纱线制造商乞求玻璃供应 > 目前在半导体用高端 T-glass 市场占据 80-90% 份额 这家价值 42.3 亿美元的垄断企业，全球科技公司都在争夺： 一家随机的日本纱线制造商。 披露：我持有头寸。
原推 ↗英文原文
Nitto Boseki - $NBCLF | 3110: The story of an extreme bottleneck for AI: > Spin Yarn/Glass in 1923 > Be good at it > Create "T-Glass" for tennis rackets > Wait 100Y, everyone needs it > $TSM for CoWoS > $APPL for M-Series Ultra/Max > $NVDA for Blackwell + Vera Rubin > $TSLA for chips inside FSD cars > $AMD for MI300/MI400 AI accelerators > $ANET for 800G to 1.6T and 3.2T > Have Apple to Nvidia to TSM fighting over supply > Sold out through 2026 > Apple, Nvidia, and Qualcomm sends teams live on site to literally beg this Yarn Maker for glass supply > Now is 80-90% market share of the high-end T-glass used in semiconductors The $4.23 Billion monopoly that every tech company in the world is fighting over: A random Japanese Yarn Spinner. Disclosure: I own positions.
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TSM前董事长买入MU被视为看涨信号
@GVDInvestor 完全同意，上周$TSM 前董事长在公开市场买入 800 万美元的 $MU 是一个看涨信号。
原推 ↗英文原文
@GVDInvestor Completely agree, having the former chairman of $TSM buy $8m of $MU on the open market last week is a bullish tell.
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看好Intel受白宫政策补贴及巨头背书，具高非对称性回报潜力。
永远不要做空白宫。 $INTC 可能是半导体领域目前最具非对称性（asymmetrical）的多头机会之一。https://t.co/ow1BO48XO4 （该推文引用了 @aleabitoreddit 的推文，引用内容仅供理解语境）： $INTC 基本上就是半导体界的 $RKLB 之于 SpaceX，是我最大的持仓之一。 众所周知，随着 Nvidia 到 Apple 等巨头背书，它终将赶上 $TSM，成为美国政府事实上的半导体臂膀。 这只是时间问题。 在 $2340 亿市值（$TSM 为 $1.5 万亿）下，仅凭等待就有约 7 倍回报。 无论是 2 年还是 10 年，我坚信 Intel 是市场中罕见的机会，你可以投资白宫以及无限印钞机补贴的烧钱晶圆厂（foundry）开发。 这不是赢家通吃，半导体 TAM（总可寻址市场）将持续增长，$TSM 是很好的多头，但当 Intel 产能可用时，从 Google 到 Nvidia 的美国超大规模云服务商（hyperscalers）将迫于压力使用 Intel。 美国不会让 Intel 失败，这是基于美国政策的高确信度（high conviction）多头。
原推 ↗英文原文
Never bet against the White House. $INTC is probably one of the most asymmetrical longs in the semi space right now. https://t.co/ow1BO48XO4
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博主转发并提及五只美股代码。
@AnalizAyaz $NBIS, $RKLB, $IBIT, $TSM, $LPTH
原推 ↗英文原文
@AnalizAyaz $NBIS, $RKLB, $IBIT, $TSM, $LPTH
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半导体板块分化，部分厂商因OpenAI诉讼风险受市场重估。
@8l8220656450 半导体板块整体没问题。只是某些供应商与 OpenAI 深度绑定，而许多其他公司如 $TSM 到 $MU 则相对独立。我确实看好 Elon，但我们将看到市场如何定价影响 OpenAI 关联公司的诉讼。
原推 ↗英文原文
@8l8220656450 Semiconductor space will be fine. Just certain vendors are heavily tethered toward OpenAI while many others like $TSM to $MU are more isolated. I do like Elon, but we'll see how markets price in the lawsuit impacting OpenAI relational companies
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类比特斯拉入华催生比亚迪，担忧台积电赴美建厂可能意外培育出美国本土芯片竞争对手。
我的意思是，$TSM 在美国建厂让我隐约想起当年 $TSLA 去中国生产电动汽车（EV）的情况，不过是反向的。当时大家都认为 $TSLA 通过在中国建厂会成为市场领导者 -> 结果 $BYD 作为副产品崛起，成为了中国本土电动汽车的领导者。我确信会有某种防火墙，更先进的制程节点仍留在台湾，但对于 $INTC 来说，谁也不敢保证。
原推 ↗英文原文
I mean $TSM building in US vaguely reminds me of the time $TSLA went to China for EVs but in reverse. Everyone thought $TSLA would be the market leader by building in China -> then $BYD popped out as China's domestic EV leader as a byproduct. I'm sure there's some sort of firewall with more advanced nodes staying in Taiwan, but you never know with $INTC.
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看好三星、台积电和英特尔，认为2026年三者均将大幅跑赢大盘。
我持有三星、$TSM 和 $INTC 的敞口。它们就像火、水和草系初始宝可梦，选哪个都不会错。- 三星：在存储和代工领域拥有高上行空间，正在承接台积电的溢出订单。- $TSM：拥有惊人的盈利能力/增长，且被广泛使用，产能已满载。- $INTC：基本上由美国政府兜底下行风险，一旦完成建设，相对于 $TSM 有巨大的上行空间。我相信它们在2026年都会大幅跑赢大盘。
原推 ↗英文原文
I have Samsung, $TSM, and $INTC exposure. They're like Fire, Water, and Grass starter Pokemon, can't go wrong with any. - Samsung you have high upside with memory + foundry capturing overflow from TSM. - $TSM, has insane profitability/growth + everyone uses them and they're maxed out. - $INTC is basically US gov capping downside risk + large upside to $TSM once they finish buildout. I'm sure they'll all strong outperform 2026.
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基于美国政策补贴和高确信度，看好Intel长期追赶台积电的7倍回报潜力。
$INTC 基本上就是半导体界的 $RKLB（对应 SpaceX），也是我最大的持仓之一。 众所周知，随着 Nvidia 到 Apple 等巨头的支持，它终将赶上 TSM，成为美国政府事实上的半导体臂膀。 这只是时间问题。 在 $2340 亿美元市值（$TSM 为 1.5 万亿美元）下，仅凭等待就能获得约 7 倍回报。 无论是 2 年还是 10 年，我坚信 Intel 是市场中罕见的机会：你可以投资白宫，以及用无限印钞机补贴现金消耗型晶圆厂开发。 半导体市场并非赢家通吃，总可寻址市场 (TAM) 将持续增长，$TSM 是很好的长线标的，但当 Intel 产能可用时，从 Google 到 Nvidia 的美国超大规模云服务商将承受使用 Intel 的压力。 美国不会让 Intel 失败，这是基于美国政策的高确信度长线投资。
原推 ↗英文原文
$INTC is basically the $RKLB to SpaceX and is one of my biggest positions. Everyone knows it will catch up to TSM as the de-facto semi arm of the US government with Nvidia to Apple backing it. It’s more of a matter of time. At a $234B MC ( $TSM is $1.5T), ~7X return just for waiting. Whether it’s in 2 years or 10 years, I strongly believe Intel is one of the rare opportunities in the market where you can invest in the White House and infinite money printer subsidizing the cash burning foundry development. It’s not winner takes all, the TAM of semis will keep going up, $TSM is a great long, but US hyperscalers from Google to Nvidia would be pressured to use Intel when available. United States won’t let Intel fail, this is a high conviction long on US policy.
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质疑沃尔玛40倍市盈率的合理性，认为其增速不及台积电和美光。
谁能告诉我为什么沃尔玛(WMT)的市盈率(P/E)高达40？ 这个宝可梦卡牌和毛巾的倒卖商，难道应该比$TSM (33)和$MU (32)增长得更快吗？ https://t.co/kR3v3PQP13
原推 ↗英文原文
Can anyone tell me why Walmart has a P/E of 40? Is this Pokemon Card and Towel reseller supposed to be growing faster than $TSM (33) and $MU (32)? https://t.co/kR3v3PQP13
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博主回复称多数持仓及存储股今日表现强劲，普涨。
@soulbiri1 大多数东西开局都不错，哈哈。$CRWV、$CIFR 和 $AAOI 均上涨超过 10%。$NBIS 上涨 7%，$SMCI 上涨 6%，$MRVL、$MSTR、$TSM 上涨 5%。你所有的存储(Storage)股票每天都上涨 8%。除了少数几只，到处一片绿色(上涨)。
原推 ↗英文原文
@soulbiri1 Most things are off to a good start lol. $CRWV, $CIFR, to $AAOI both up over 10%. $NBIS up 7%, $SMCI up 6%, $MRVL, $MSTR, $TSM up 5%. All your memory stocks are up 8% every day. Green everywhere aside from a few
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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。
原推 ↗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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2026年十大主题投资：聚焦AI供应链瓶颈、软体机器人及支付颠覆。
2026年通讯。 主题投资：演进、颠覆与瓶颈 1. 软体机器人 - 向 $TSLA、$ONDS、波士顿动力演进。 2. 硅光子(SiPh) - 磷化铟(InP)瓶颈 | $AXTI、$LITE、$GOOGL 3. 玻璃基板 - 瓶颈 | $NVDA、$INTC、$TSM 4. 资金流动 - 对 $V、Stripe、$BOA 的颠覆 5. AI云层级 - 瓶颈 | $NBIS、$IREN、$HUT 6. LLM网络安全 - 向 $CRWD、$CSCO、$MSFT 演进 7. 低轨(LEO)太空基础设施 | 向 $RKLB、SpaceX、$ASTS 演进 8. 消费者代理工作流(50步) - 对消费者劳动力的颠覆，来自Manus、$PATH Cognition 9. 分布式计算延迟 - 瓶颈 | $TSLA、$AMZN、$GOOGL 10. 铜互连寿命延长 - 瓶颈 | $NVDA (LPU/Groq)、$AMD、$INTC _这是我对从公开信息综合及瓶颈二/三阶效应来看最感兴趣的主题投资的简要概述！_ 1. 软体机器人：向机器人的演进 传统机器人（Optimus、波士顿动力）依赖逆运动学控制刚性关节。软体机器人改变了数学模型。 我们已到达硬件（Optimus、波士顿动力、Figure）与LLM（Gemini、Grok、Opus）相遇的节点，正处于大规模商业化的开端。 通过使用受章鱼触手和人类皮肤启发的材料，机器人正从齿轮转向流体性，以处理极其精细的任务，如像人手一样处理农产品，或为 $ONDS/Andruil 无人机添加类章鱼延伸以拾取极重表面。 这种演进在于跳出思维定势思考机器人能做什么。我记得7年前曾与该领域的斯坦福博士合作，AI在多年研究后开始商业化，因此该领域也是如此。 将类生物流体性添加到刚性机器人中的可能性是无限的，这只是自然演进。 大多数可能是私人公司。 2. 硅光子 - AI基础设施的瓶颈“磷化铟(InP)卡脖子点” 从Blackwell Ultra集群到Google TPU已触及上限，需要光子互连 | 共封装光学(OCS)以实现扩展。 基板：$AXTI（通过Tongmei）和住友（日本）控制全球约60-70%的InP基板市场。 材料：Vital Materials（中国）和AXT等公司控制原材料铟本身的精炼（78%+的供应链）。 如果你是美国科技巨头，你2026年的整个“AI增长故事”取决于由地缘政治对手控制的材料。 唯一可扩展的解决方案是工程绕行，要么实现芯片上光传输，同时减少90%的铟使用，要么使用微小的磷化铟薄片代替大型昂贵晶圆。 瓶颈本身有机会，如AXT、住友。或帮助解决它的公司如 $POET。 3. 玻璃基板 - 解决从 $NVDA 到其他公司的共封装光学(CPO)瓶颈 向玻璃基板的转变本质上是半导体行业对当前材料物理极限的回答。 当前芯片位于有机材料（本质上是专用塑料）制成的基板上。随着芯片变大，如Nvidia巨大的GPU封装，塑料基板会翘曲。 因此，玻璃基板正成为共封装光学(CPO)的行业标准，因为它们解决了光子学中最大的对齐问题。 美国政府已视其为必要，我们看到巨额补贴流向这些公司。 $INTC、三星电子、Absolics（SKC子公司）、DNP等是主要受益者，尤其是随着MRVL和 $AVGO（推动光学开关的玻璃）推进CPO革命。 4. 资金流动 - 对卡网络、银行、交易所和支付的颠覆 几十年来，资金转移一直是“收费公路”业务。每次刷卡，2%到3%的钱流入卡网络（Visa/Mastercard）和发卡行的口袋。 或者从交易所买卖加密货币是0.2-1%。这是历史上最有利可图、“不可杀死”的商业模式。 直到现在。2025年的“天才法案”刚刚将金钱传输许可证或银行特许状交给像 $XRP 这样的公司，赋予了他们王国钥匙。 对我来说并非理论。我恰好正在自己的初创公司与创建V / $PYPL 实时支付网络的人一起从事这项工作。 但基本上，拥有现有MTL或追求银行特许状并利用天才法案及其他技术的公司，现在可以通过在美联储和区块链之上进行结算来绕过传统百分比费用，有效地将基于百分比的费用转化为几美分。 99%的公司会这样做吗？可能不会，因为支付行业的所有利润率都将归零。但我乐意看到。 但基本上，Stripe以11亿美元收购Bridge本应是对现有公司的红色警报，表明1天ACH、 interchange模式、25美元国际转账的日子即将结束。 这扩展到许多其他相邻领域，从低费用颠覆者如 $HOOD、Mercury，一直到稳定币新银行，或制作自己稳定币的公司如 $SOFI。 5. AI云层级 - 超大规模计算瓶颈的解决方案 当超大规模云厂商被困在3-5年的电网互连队列中时，像WULF和IREN这样的矿工今天就拥有即插即用的GW级算力。 这是千载难逢的机会，超大规模云厂商将其现金牛云收入流向小公司。 这里有不同的层级，从Fluidstack、Poolside、Fireworks在GPU编排层，到IREN等公司构建的裸金属层。 然后有成为超大规模云厂商本身，如NBIS拥有物理位置、GPU、软件编排，然后为推理提供简单接口。 这是少数小公司在未来一两年成为AWS或Azure，或被收购（例如GOOGL以47亿美元收购Intersect）的机会。 像NBIS、IREN、CRWV这样的新云，以及像CIFR、WULF、HUT这样的colo玩家（以及私人部门->能源）将受益。 6. LLM网络安全 - 向现代安全和漏洞防御的演进 最近的报告（例如来自Anthropic红队）显示，高级模型如Opus（及未来版本）可以自主扫描开源智能合约，并在几分钟内识别价值数百万美元的“零日”漏洞。 含义：如果AI能在不可变的区块链合约中找到逻辑缺陷，它也能在银行的SWIFT API或电网控制软件中找到缺陷。 同样适用于KYC/AML。像Gemini Nano Banana这样的模型能够创建逼真的图像/视频，人们能够绕过许多程序。 这个领域有很多不性感但具Alpha潜力的事情，如LLM自动化SOC2/PCI DSS合规，代理坐在服务器上，持续监控日志，并自动生成审计所需的证据。 7. 低轨(LEO)太空基础设施 | 向拓展最后疆域的演进 太空是下一个大事情。这并不新鲜。（希望你懂这个笑话）。但从像 $RKLB、SpaceX这样的公司，到解决轨道拥堵或发射节奏瓶颈的公司，再到像ASTS或Starlink这样商业化基础设施的公司，在未来一年呈现许多机会。 因此，像Impulse、Blue Origin、$ASOZF到RKLB、$ASTS这样的公司将受益于整个链条。 8. 消费者代理工作流(50步) - 对消费者劳动力的颠覆，来自Manus、PATH Cognition 这一点很简单，无需解释。但在对就业+成本节约的潜在影响上显而易见。 你如何自动化商务拓展？如何自动化营销？如何自动化软件工程师？ 这超越了ChatGPT的几步回答，直接进入现实世界，AI代理可以在X上漫游，找到合适的人，发送DM，继续对话，并在一个工作流中导致销售电话。 这是“聊天机器人”时代的结束和“行动”时代的开始，取代公司以前需要的所有人。 我尚未看到任何公司大规模做到这一点。拥有这些的公共公司如META并没有呈现最佳敞口。也许是 $PATH 在公共空间。 9. 分布式计算延迟 - 解决AI计算容量紧张的瓶颈 像GOOGL Cloud、MSFT Azure这样的超大规模云厂商已达最大容量。 Elon Musk已经提出分布式计算作为解决此问题的未来（例如，拥有 $TSLA 网络为LLM推理提供计算）。 “Tesla计算云”论点很迷人，但我识别出的最大物理障碍是：推理延迟。 要生成“Token B”，模型必须先生成“Token A”。它不能同时做两者。如果你将一个巨大模型（如Grok-3）拆分到5辆不同的汽车中以适应内存，你必须为每个生成的Token在这些汽车之间发送数据。 因此，如果汽车之间的网络延迟甚至是20ms（5G的乐观估计），而你生成50个Token，你刚刚在计算时间之上添加了1秒的纯“等待时间”（延迟）。在使用NVLink的数据中心中，该等待时间以纳秒计。 同样适用于零售用户拥有的任何备用计算机、GPU等。有数十亿消费级GPU（Teslas、iPhones、游戏PC）90%的时间闲置。 解决推理的“分布式延迟”问题呈现了计算史上最大的套利机会之一。 尚未看到任何公司大规模完成此任务。也许NVIDIA Dynamo、$AKAM、TSLA正在接近。 10. 铜互连寿命延长 - 解决Nvidia和其他公司的瓶颈 既然我们不能拥有无限的InP，我们必须用现有的东西（例如铜）进行工程绕行，所以铜电缆可以做物理上说它不应该做的事，如在不损失信号的情况下跨机架传输224G信号。 行业在InP上遇到了硬性停止，美国在物理上无法开采和精炼足够的InP将数据中心中的每个链接变成光纤。 如果有任何帮助，那就是好事。例如，NVDA对Groq团队和IP的200亿美元“收购雇佣”。LPU更多是关于推理延迟/架构，但它作为副产品解决了铜寿命延长。Groq的整个架构在延迟上击败了Nvidia，因为它拒绝了光学。Groq使用“确定性”网格，依赖芯片之间的直接电气（铜）连接，避免光学开关的“抖动”和转换时间。 像 $ALAB、$CRDO、Groq，或任何能找到用铜绕过光学瓶颈方法的公司将是赢家。 _这里有从私人部门投资到公共部门的众多交易！只是今天即兴写下了我的想法，但乐意稍后详细阐述。 无论如何，我相信这些主题投资中的许多： 从投资InQ瓶颈绕行（$POET）或瓶颈本身（$AXTI）到公共部门的颠覆者（$CRCL）。 到投资铜扩展瓶颈修复（Groq）、银行特许状颠覆者（Mercury）到私人部门的演进公司（Lightmatter、Festo）。 在2026年呈现不对称上行空间。 新年快乐！
原推 ↗英文原文
2026 Newsletter. Thematic Investments: Evolution, Disruption, and Bottlenecks 1. Soft Robotics - Evolution to $TSLA, $ONDS, Boston Dynamics. 2. SiPh - InP Bottleneck | $AXTI, $LITE, $GOOGL 3. Glass Substrates - Bottleneck | $NVDA, $INTC, $TSM 4. Money Movement - Disruption to $V, Stripe, $BOA 5. AI Cloud Layers - Bottleneck | $NBIS, $IREN, $HUT. 6. LLM Cybersecuirty - Evolution to $CRWD, $CSCO, $MSFT 7. LEO Space Infrastructure | Evolution to $RKLB, SpaceX, $ASTS 8. Consumer Agentic Workflows (50 Step) - Disruption to the Consumer Workforce, from Manus, $PATH Cognition 9. Distributed Computing Latency - Bottleneck | $TSLA, $AMZN, $GOOGL, 10. Copper Interconnect Life Extension - Bottleneck | $NVDA (LPU/Groq), $AMD, $INTC _ This is an light overview of thematic investments I find the most interesting from a public-information synthesis perspective + second/third-order effects from bottlenecks! _ 1. Soft Robotics: The Evolution to Robotics Traditional robotics (Optimus, Boston Dynamics) relies on Inverse Kinematics to rigid joints. Soft robotics changes the math. We've met the point where hardware (Optimus, Boston Dynamics, Figure) met LLMs (Gemini, Grok, Opus), and we're at the beginning of possible widespread commercialization. By using materials inspired by octopus tentacles and human skin, robots are moving away from gears and toward fluidity to handle extremely delicate tasks like handling produce like the human hand, to picking up extremely heavy surfaces adding Octopus-like extensions to $ONDS/Andruil Drones. The evolution is thinking outside the box in terms of what robotics can do. I remember working with some Stanford PHds in this field like 7 years ago, and it just so happens AI is starting to be commercialized after many years of research. So expected, this field to be as well. Possibilities are limitless adding organism-like fluidity to rigid robotics, this is just the natural evolution. Most of these are prob private companies. _ 2. Silicon Photonics - Bottleneck of the AI Infrastructure "InP Chokepoint" Blackwell Ultra Clusters to Google TPUs have hit the upper wall and requires photonics for interconnects | OCS to scale up. The Substrates: $AXTI (via Tongmei) and Sumitomo (Japan) control roughly 60-70% of the world's InP substrate market. The Materials: Companies like Vital Materials (China) and AXT control the refining of the raw Indium itself (78%+ of supply chain). If you are a US tech giant, your entire "AI Growth Story" for 2026 depends on materials controlled by geopolitical rivals. The only scalable solution is engineering around it, either by delivering light-on-chip, while using 90% less InP or companies that use tiny slivers of Indium Phosphide instead of large, expensive wafers. There's opportunities with the bottleneck itself like AXT, Sumitomo. Or companies that help address it like $POET. _ 3. Glass Substrates - Fixing the Bottleneck for CPOs from $NVDA to others. The shift toward glass substrates is essentially the semiconductor industry’s answer to a physical wall they are hitting with current materials. Current chips sit on a substrate made of organic materials (essentially specialized plastic). As chips get larger, like Nvidia's massive GPU packages, plastic substrates warps. So, glass substrates is becoming the industry standard for Co-Packaged Optics (CPO) because they solve the single biggest problem in photonics with alignment. US Government already sees this as a necessity and we've seen huge subsidies funneling down to some of these companies. Companies like $INTC, Samsung Electronics, Absolics (SKC Subsidiary), DNP, and others are the main beneficiaries, especially as MRVL and $AVGO (driving glass for optical switches) move forward with CPO revolution. _ 4. Money Movement - The Disruption to Card Networks, Banking, Exchange, and Payments For decades, moving money has been a "toll road" business. Every time you swiped a card, 2% to 3% of that money vanished into the pockets of the Card Networks (Visa/Mastercard) and Issuing Banks. Or buying/selling crypto from an exchange would be .2-1%. It was the most profitable, "un-killable" business model in history. Until now. The "Genius Act" of 2025 just handed companies like $XRP with Money Transmitter Licenses or Banking Charters the keys to the kingdom. Not really theoretical for me. I happen to be working on this myself at my own startup with some folks who created V / $PYPL's real-time payment networks. But basically companies with existing MTLs or pursuing banking charters leveraging the Genius Act and some other tech can now bypass legacy % fees by doing settlement on top of the Federal Reserve and blockchains, effectively converting percentage-based fees into a few cents. Would 99% companies do it? Probably not since every single margin from across the payment industry would just go to 0. I'd be happy though. But basically Bridge's $1.1B acquisition by Stripe should have been a red-alarm to existing companies that days of 1-Day ACH, interchange models, $25 international transfers, are soon to be over. This extends to many other adjacents from low fee disruptions like $HOOD, Mercury all the way to Stablecoin Neobanks, or companies making their own stablecoins like $SOFI. _ 5. AI Cloud Layers - The Solution to HyperScaler compute Bottleneck While Hyperscalers are stuck in 3-5 year grid interconnection queues, miners like WULF and IREN are sitting on plug-ready GWs today This is the opportunity of a lifetime as hyperscaler funnel their cash cow Cloud revenues down to tiny companies. There's many different layers to this from Fluidstack, Poolside, Fireworks on the GPU orchestration layer, to the bare metal layer that companies like IREN are building. Then there's becoming the hyperscaler themselves like NBIS owning the physical locations, the GPU, software orchestration, and then providing simple interfaces for inference. This is the opportunity for a few small companies to become Amazon Web Service or Microsoft Azure over the next year or two, or get acquired (eg. GOOGL buying Intersect for $4.7B) Neoclouds like NBIS, IREN, CRWV, down to colo plays like CIFR, WULF, HUT (and private sectors -> Energy) stand to benefit. _ 6. LLM Cybersecurity - The Evolution to Modern Security and Vulnerability Defense Recent reports (e.g., from Anthropic's Red Team) showed that advanced models like Opus (and future iterations) could autonomously scan open-source smart contracts and identify "Zero-Day" exploits worth millions of dollars in minutes. The Implication: If an AI can find a logic flaw in a immutable Blockchain contract, it can find a flaw in a bank's SWIFT API or a power grid's control software. Same with KYC/AML. Models like Gemini Nano Banana are able to create realistic images/videos of people and people are able to get past a lot of programs. There's tons of things as an unsexy alpha in this field like LLMs automating away SOC2/PCI dss compliance to agents sitting on a server, continuously monitor logs, and auto-generate the evidence needed for auditors. 7. LEO Space Infrastructure | The Evolution to Expanding into the final frontier. Space is the next big thing. This is not anything new. (hope you got the joke). But anywhere from companies like $RKLB, SpaceX. Companies that fix orbital congestion or launch cadence bottlenecks. To companies that commercialize the infrastructure like ASTS or Starlink present many opportunities over the next year. So companies like Impulse, Blue Origin, $ASOZF to RKLB, $ASTS stand to benefit across the entire chain. 8. Consumer Agentic Workflows (50 Step) - Disruption to the Consumer Workforce, from Manus, PATH Cognition This one is simple and needs no explanation. But largely obvious in potential impact on employment + cost saving. How do you automate away business development? How do you automate away marketing? How do you automate away software engineers? This is going past few step ChatGPT answers and directly in to the real world where an AI agent can roam X, find the right people, DM someone, continue conversations, and lead to a sales call in just one workflow. This is the end of the "Chatbot" era and the beginning of the "Action" era replacing everyone previously required in a company. I haven't quite seen this done at scale yet with any company. Public companies like META that own these, don't really present the best exposure. Maybe $PATH for public space. 9. Distributed Computing Latency - Fixing the Bottleneck for AI Compute Capacity Strains Hyperscalers like GOOGL Cloud, MSFT Azure at max capacity. Elon Musk already floated distributed computing as the future of solving this issue (eg. having networks of $TSLA's providing compute for LLMs for inference). The "Tesla Compute Cloud" thesis is fascinating, but the single biggest physical barrier I've identified is: Inference Latency. Too generate "Token B," the model must first finish generating "Token A." It cannot do both at the same time. If you split a massive model (like Grok-3) across 5 different cars to fit it in memory, you have to send data between those cars for every single token generated. So, if your network latency between cars is even 20ms (optimistic for 5G), and you are generating 50 tokens, you just added 1 full second of pure "waiting time" (latency) on top of the compute time. In a data center using NVLink, that wait time is measured in nanoseconds. Same applies to any spare computer, GPU, and others owned by retail users. And there's billions of consumer GPUs (Teslas, iPhones, Gaming PCs) that sit idle 90% of the time. Solving the "distributed latency" problem for inference presents one of the single greatest arbitrage opportunity in the history of computing. Haven't really seen any companies that accomplished this at scale yet. Maybe NVIDIA Dynamo, $AKAM, TSLA, getting a little closer. 10. Copper Interconnect Life Extension - Addressing the Bottlenecks of Nvidia and Others Since we can't have infinite InP, we have to engineer around it with what we have (eg. Copper), so copper cables can do things that physics said it shouldnt like carrying 224G signals across a rack without signal loss. The industry is hitting a hard stop on InP where, US cannot physically cannot mine and refine enough InP to turn every link in a data center into fiber optics. If anything helps, then it's good. EG. NVDA's $20B "Acqui-hire" of Groq's team and IP. LPU is more about inference latency/architecture but it addresses copper life extension as a byproduct. Groq’s entire architecture beat Nvidia on latency because it rejected optics. Groq uses a "deterministic" mesh that relies on direct electrical (copper) connections between chips, avoiding the "jitter" and conversion time of optical switches. Companies like $ALAB, $CRDO, Groq, or anyone who can find ways to engineer around the optical bottleneck with copper will be a winner. _ There are tons of trades from both private sector investments to public! Just wrote up my thoughts on the fly today, but happy to elaborate later. Regardless I believe a lot of these thematic investments from: Investing in InQ Bottleneck Workarounds ( $POET ) or the bottleneck itself ( $AXTI ) to Disruptors ( $CRCL ) in the public sector. To Investing in copper extension bottleneck fixes (Groq), bank charter disruptors (Mercury) to evolutionary companies (Lightmatter, Festo) in the private sector. Present asymmetrical upside in 2026. Happy New Year!
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解析AI供应链各环节标的风险收益特征，推荐TSM稳健、AXTI高弹性、NBIS高成长。
感谢关注！我来简单拆解一下：我看好金融科技(Fintech)和人工智能(AI)，这是我的两个主要成长型投资板块。像 $CRCL 这样的稳定币(Stablecoins)属于金融科技领域。至于 AI 领域，我专注于供应链投资： 新云厂商(Neoclouds) -> AI 顶层消费者/超大规模云提供商。$NBIS 是我的最爱。 顺着供应链往下，谁帮助制造 $NBIS 和 $IREN 购买的 GPU？ -> 来自 $NVDA 的 GPU，部分 $AMD，以及未来可能来自 $GOOGL、$MSFT、$AMZN 的 ASIC。 谁帮助生产这些 GPU？ -> $TSM 谁帮助在数据中心扩展这些 GPU 集群？ -> $LITE、$COHR、$AAOI 用于生产扩展 GPU 集群所需互连件的原材料是什么？ -> $AXTI 它们都主题性地搭乘 AI 资本支出(CapEx)浪潮，但敞口各不相同。 我通常不会说“1”，因为它们的风险特征不同。 如果必须为复利增长选择最安全的一个：$TSM 如果必须选择 6 个月内潜在上行空间最大的一个？$AXTI 可能因材料短缺而受益，但如果中国封锁出口也可能归零。 如果必须选择 2 年内最有可能实现 5-10 倍增长并成为超大规模云厂商的一个？$NBIS。但存在稀释风险，自动取款机(ATM)发行可能导致股价停滞数月，但从 70-90 亿 ARR 和 20% EBIT 的未来前景来看，长期非对称上行空间最大。 当然，如果 AI 资本支出浪潮放缓，它们都会下跌，因此分散投资于金融科技等其他板块是明智的。
原推 ↗英文原文
Thanks for following along! I'll just give you a breakdown: I like Fintech and AI, those are basically my two main growth investment baskets. Stablecoins like $CRCL are in the fintech domain. As for AI domain I am just supply chain investing: Neoclouds -> Top level consumer/hyperscaler cloud providers for AI. $NBIS is my favorite. Go down the supply chain, who helps manufacture the GPUs used that $NBIS and $IREN buy? -> GPUs from $NVDA, some $AMD, and maybe ASICs from $GOOGL, $MSFT, $AMZN down the road. Who helps create those GPUs -> $TSM Who helps scale up those GPU clusters in data centers? -> $LITE, $COHR, $AAOI What are those raw materials used to produce the interconnects to scale up those GPU clusters? -> $AXTI They're all ride the AI CapEx wave thematically, but the exposure is all different. I never typically never say "1" because they all have different risk-profiles. if I had to choose the safest one for just compounding: $TSM If I had to choose the one with the highest possible upside over 6 months? $AXTI from material shock, but it could also go to 0 if China blocks exports. If I had to choose the best chance to 5-10x and become a hyperscaler over 2 years? $NBIS. But there's risks from dilution, ATMs stalling out the stock for a few months, but highest asymmetrical upside over periods of time from 7-9B arr 20% ebit in the future But of course, if AI CapEx wave slows, then they all go down, which it's good to diversify in other segments like fintech.
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解析微软Maia 300供应链，指出AAOI和MRVL为光模块核心受益者。
个人研究：$MSFT Maia 300 供应链。 根据 $MRVL 的报告，瑞银(UBS)预计2027年前 Maia 出货量将超100万颗。 预计 Maia ASIC 量产将带来超180亿美元流向供应商。 资金流向如下： 1. $MRVL - 营收80-120亿美元（~30-40%利润率），作为主要受益者。他们设计数字底层架构（SerDes，互连），从 SK Hynix 购买 HBM4 内存，支付 TSMC 的 2nm 晶圆和 CoWoS 封装费用，并将成品模块卖给微软。 当 Maia 在2026年底至2027年初开始量产时，鉴于其带来的巨大营收，Marvell 可能会迎来大幅重估。 2. 光网络架构：约30亿至40亿美元 主要受益者：Applied Optoelectronics ($AAOI)，Coherent ($COHR)，Innolight Maia 集群需要1:1或更高的光收发器与GPU比例。对于1.6T速度（Maia 300所需），每个节点的光学内容估计超过3,000美元（每个加速器约6个800G/1.6T模块）。 这里 AAOI 大获全胜：与市值700亿美元的 $MRVL 不同，$AAOI 是一家25亿美元的公司。即使只获得这块30亿美元蛋糕的20-30%（6-9亿美元），也将使其当前年化经常性收入(ARR)翻三倍，但具体份额取决于其德州磷化铟(InP)工厂的扩产情况（可能更多或更少）。 因此，Applied Optoelectronics (AAOI) 和 Marvell 的光学 DSP 业务是隐形赢家，受益于连接这些巨型芯片所需的1.6T升级周期。 像 $TSM 这样的公司会增加30-40亿美元营收，但相对于其1000多亿美元的营收来说，这只是中等体量。（仅说明 TSM 体量之大） 硅基 BOM 拆解： 1. 计算逻辑 (ASIC) - TSM + Intel Foundry/18A Marvell (设计), TSMC, Intel, ARM/Synopsys? ($2,800 - $3,500) 2. 内存 (估计 HBM4? (6-8层堆叠), 估计值) SK Hynix, Samsung ($3,360 - $4,500) 3. I/O 与缓存 Die - TSMC N5/N4 Marvell, TSMC ($400 - $600) 4. 先进封装 - CoWoS-L / Foveros Direct TSMC, Intel ($900-$1300) 5. 散热方案 - 微流道冷板 / TIM ($200-400) 6. 杂项 (大电流电感, 电容) ($150-$200) 硅基 BOM 总计：$7,860 - $10,550 这非常粗略，未涉及无源器件/基板/盖板 (Ibiden, Unimicron)，测试与组装 (Advantest, Teradyne) 等。 现在如果我们深入看光学 BOM 以及 $MSFT 在空心光纤和 OCS 方面的布局： DSP / SerDes IP: $MRVL ($800 - $1,200) SiPh 引擎 (CPO): Marvell / Intel ($600 - $900) 激光源 (ELS): $AAOI, $LITE ($300 - $600) 收发器组装: $AAOI, Innolight ($400 - $600) 光纤布线: 空心光纤 / MPO ($MSFT) ($200 - $300) 光学 BOM 总计~$2,300 - $3,600~占系统总成本的25% 我们已经确立 $LITE 和 Innolight 是光子学的两大主要玩家（在 $NVDA 和所有超大规模云厂商 ASIC 中） 然而，$AAOI 的市值仅为 $MRVL 和 $LITE 的一小部分，作为小盘股，Maia 的机会对其股票更具变革性。 另需注意，富邦研究(Fubon Research)估计 Maia300 芯片将于2026年底开始生产，约30万至40万颗，2027年增至120万至150万颗，但我们仅采用瑞银的~100万颗数据。（因此实际爬坡可能更多） 但向1.6T的转变以及对空心光纤/OCS网络高功率激光器的特定需求是一个巨大的顺风。如果 AAOI 获得 Maia 光学 BOM 的一部分，他们到2027年仅从一个客户那里就能使 ARR 翻三倍或四倍（不包括 $AMZN）。 风险：主要风险是资格认证失败。如果他们的激光器未能通过微软严格的可靠性测试，他们可能会被 $LITE 一夜之间取代。 然而，Maia 300 的量产标志着超大规模云厂商 ASIC 交易的开始，关键供应商已就位。 从2026-2027年底这一特定 ASIC 中受益最大的公司？ 看起来是 $AAOI, $MRVL, $TSM 和 SK Hynix。 警告：这是基于公开材料+深度研究+映射的推测性研究+建模。没有公开的新闻证实这些信息，不要将其视为事实。
原推 ↗英文原文
Personal Research: $MSFT Maia 300 supply chain. On a $MRVL report, UBS est. 1M+ Maia by 2027. An est. of $18B+ is estimated to flow down to suppliers from Maia ASIC ramp. Here's where it goes: 1. $MRVL - $8-12B revenue (~30-40% margin) as the prime beneficary. They design the digital plumbing (SerDes, interconnects), buy the HBM4 memory from SK Hynix, pay TSMC for the 2nm wafers and CoWoS packaging, and sell the finished module to Microsoft. We'll likely see a large re-rating in Marvell when it comes time for Maia ramp late 2026, early 2027, especially given how much revenue this brings in. 2. The Optical Fabric: ~$3 Billion to $4 Billion Primary Beneficiaries: Applied Optoelectronics ( $AAOI ), Coherent ( $COHR ), Innolight Maia clusters require a 1:1 or higher ratio of transceivers to GPUs. For 1.6T speeds (required for Maia 300), the optical content per node is estimated at $3,000+ (approx. 6x 800G/1.6T modules per accelerator). Here AAOI Wins Big: Unlike $MRVL (which is $70B), $AAOI is a $2.5B company. Capturing even 20-30% of this $3B pie ($600M-$900M) would triple + their current ARR, but the amount captured is dependent on their InP Texas Fab scaling (could be a lot more or less). So Applied Optoelectronics (AAOI) and Marvell's optical DSP business are the silent winners, riding the 1.6T upgrade cycle required to interconnect these massive chips. Companies like $TSM gain another $3-4B revenue, but that's medium volume compared to their $100B+ revenue. (just speaking to how much of a giant TSM is) For the silicon BOM breakdown: 1. Compute Logic (ASIC) - TSM + Intel Foundry/18A Marvell (Design), TSMC, Intel, ARM/Synopsys? ($2,800 - $3,500) 2. Memory (est. HBM4? (6-8 stacks), estimate). SK Hynix, Samsung ($3,360 - $4,500) 3. I/O & Cache Die - TSMC N5/N4 Marvell, TSMC ($400 - $600) 4. Advanced Packaging - CoWoS-L / Foveros Direct TSMC, Intel ($900-$1300) 5. Thermal Solution - Microfluidic Cold Plate / TIM ($200-400) 6. Misc (High-Current Inductors, Caps) ($150-$200) Total Silicon BOM: $7,860 - $10,550 This is really high level doesn't go into Passive/Substrate/Lid (Ibiden, Unimicron), Test & Assembly (Advantest, Teradyne), etc. Now if we look deeper at optical BOM and what $MSFT is doing with hollow core fiber and OCS: DSP / SerDes IP: $MRVL ($800 - $1,200) SiPh Engine (CPO): Marvell / Intel ($600 - $900) Laser Source (ELS): $AAOI, $LITE ($300 - $600) Transceiver Assembly: $AAOI, Innolight ($400 - $600) Fiber Cabling: Hollow Core Fiber / MPO ( $MSFT) ($200 - $300) Total Optical BOM~$2,300 - $3,600~25% of Total System Cost We've established $LITE and Innolight as the two major players in photonics already (within $NVDA and every single hyperscaler ASIC) However, $AAOI MC is a fraction of $MRVL and $LITE as a microcap, making the Maia opportunity far more transformative for its stock. Someting also to note is Fubon Research est Maia300 chip is set to start prod in late 2026 with about 300,000 to 400,000 units, increasing to 1.2 to 1.5 million units in 2027, but we're just going with the ~1M figure from UBS. (so might ramp up more) But the shift to 1.6T and the specific requirement for high-power lasers for hollow-core/OCS networks is a big tailwind. If AAOI captures a portion Maia optical BOM, they triple or quadruple their ARR from one client alone by 2027 (not including $AMZN). Risk: The primary risk is qualification failure. If their lasers fail Microsoft’s rigorous reliability testing, they could be replaced by $LITE overnight. However, Maia 300 ramp signals the start of the hyperscaler ASIC trade and key suppliers are there. The companies that benefit the most from this specific ASIC late 2026-2027? Looks like $AAOI, $MRVL, $TSM, and SK Hynix. Warning: This is speculative research + modeling given public materials + deep research + mapping. There is no public breakdown and news of this information, do not treat it as a fact.
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InP成2026新瓶颈，市场重估AAOI与LITE在超大规模云ASIC中的价值。
$AAOI 自今日发布论点以来上涨 24%，$LITE 上涨 5%。 从物料清单(BOM)分析来看，LITE（市值 270 亿美元）因光路交换(OCS)技术而向 TPU Ironwood 倾斜，同时也受益于 NVDA 及所有专用集成电路(ASIC)。 AAOI（市值 25 亿美元）则主要受益于 MSFT MAIA 的量产爬坡和 Amazon Trainium。 磷化铟(InP)就像高带宽内存(HBM)一样，将成为 2026 年的瓶颈，因为它们是这些部署中激光器使用的基础材料。 类似于美光和 SK 海力士的内存瓶颈，市场注意力可能会转向 InP 晶圆厂，例如 $AAOI，它是美国少数几家此类工厂之一（还有 COHR, Macom）。 但相比之下，$LITE 由于 Google TPU 的成功（来自 Meta 和 Anthropic 的采购订单），今年迄今(YTD)已上涨 362%，而 $AAOI 今年迄今仅上涨 7%。 我们主要看到这种情况是因为散户或媒体对 $AMZN Trainium 或 $MSFT Maia 部署缺乏关注，这些部署预计将在 2026-2027 年大规模量产。 然而，由于每个超大规模云服务商都希望降低其自有云平台的推理成本，它们很可能都会成功。 如果我们看到其他超大规模云服务商采用 OCS 以实现 TPU 达到的优化性能，鉴于 $LITE 在该特定领域的垄断地位，预计其估值将比现在进一步提升。 然而，如果我们看到 $MSFT Maia 量产（鉴于 $AAOI 可能正在为他们开发新架构），以及 $AMZN Trainium 量产（40 亿美元权证 + 采购订单），预计 $AAOI 将重新估值。 光电子学和 InP 将成为像内存一样的新瓶颈。 我们可能会看到投资流向下游玩家，如 $COHR、中际旭创(Innolight)、$LITE，以及 2026 年针对特定超大规模云服务商 ASIC 的隐藏杠杆标的如 $AAOI 这一主题。 市场目前正在奖励 Google TPU 供应链，但可能错过了其他超大规模云服务商 ASIC 的量产机会。
原推 ↗英文原文
$AAOI is up 24% and $LITE is 5% since my thesis today. From BOM analysis, LITE ($27B) is levered toward TPU Ironwood due to OCS but benefits from NVDA + all ASICs. AAOI ($2.5B), is levered toward MSFT MAIA ramp and Amazon Trainium. InP like HBM, will be a bottleneck for 2026 as they’re the foundational materials used for lasers in these deployments. Similar to memory bottlenecks with Micron and SK Hynix, we’ll likely see attention drawn to InP fabs, such as $AAOI, which happens to be one of the sole ones in America (COHR,Macom) But compared to $LITE that is up 362% YTD due to the success of Google’s TPU (from Meta and Anthropic purchase orders), $AAOI is only up 7% YTD. We’re largely seeing this because there’s a lack of retail or media attention on the $AMZN Trainium or $MSFT Maia deployments, which are largely expected to ramp up in 2026-2027. However they’re all likely to succeed due to each hyperscaler wanting to lower costs of inference for their own cloud platform. If we see other hyperscalers adopt OCS for optimized performance that the TPU achieved, expect $LITE to re-rate more than they have now given their monopoly in that specific segment. However, if we see $MSFT Maia ramp up (given $AAOI is likely developing a new architecture for them), and $AMZN Trainium ramp up ($4B warrant + purchase orders), expect $AAOI to rerate. Photonics and InP will be the new bottleneck like memory. We’ll likely see investments pour down stream to players like $COHR, Innolight, $LITE, and hidden levered plays on specific hyperscaler ASICs like $AAOI as a theme in 2026. The market is currently rewarding the Google TPU supply chain but might be missing other hyperscaler ASIC ramps.
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Lumentum凭借AI光网络垄断地位，有望随巨头资本支出增长实现市值翻倍。
$LITE 的投资逻辑：AI 领域的隐形垄断。 Lumentum 今年迄今上涨 316%，但到 2027 年可能上涨 1000%+。 美光 ($300B) 或台积电 ($1.5T) 位于每个部署的 TPU/GPU 中心。 但 $LITE 也是如此，而其市值仅为 $26B。 在谷歌的每一个 TPU 中，$LITE 为其市值创造了惊人的利润。 这是因为它是光路交换 (OCS) + 光网络的标准。 它也存在于： - $NVDA Blackwell - $AMZN Trainium - 以及其他超大规模云服务商的 ASIC 中。 Lumentum 位于光子学芯片部署的“神圣三位一体”中。 对于每笔 TPU 资本支出，$LITE 占据 8-12%。对于每个 Nvidia GPU，$LITE 占据 ~2-3%（在 InnoLight 和其他公司之间分配，所以计算有点复杂）。 仅针对 NVDA GPU 部署的 BOM 粗略估算： NVIDIA Blackwell (GB200)： HBM 内存：~50–55%（SK 海力士主导，美光，三星） 逻辑（GPU 裸片）：~25-30%（$TSM 4NP） CoWoS 封装：~13-18% $TSM 光网络：~3–5%（InnoLight, Lumentum, Coherent） PCB/电源：5% 谷歌 TPU “Ironwood” TPU v7： HBM 内存：38-42% 三星 / SK 海力士 逻辑裸片：TSM ~28-33% 设计/I.O：8-10% 联发科 光网络：10-14%（$LITE 主要，$COHR 次要） 光交换：2-4% $LITE $LITE 估计的总集群份额：~8–12% 仅供参考，谷歌的“光”BOM 份额（8–12%）是一个异常值，源于其独特的光路交换 (OCS) 垄断。 粗略估算： 到 2027 年谷歌 TPU 支出 $40B。$LITE 占据 10%（30-40% 利润率），仅来自谷歌的自由现金流超过 $1.5B，仅其主要客户就带来 17 倍市盈率。（分析师在预测 TPU 支出增长时可能严重偏离。） 这甚至不包括其在 $AMZN Trainium、$NVDA Blackwell、$MSFT Maia 和其他芯片部署中的份额。 $LITE 目前位于每个 TPU/GPU 未来芯片部署的中心，并从中分得一杯羹。 唯一的 downside 是，虽然他们现在是明确的市场领导者，但 $AVGO 和 $COHR 很可能在 2027-2028 年准备好竞争。然而…… 人们说“$26B，历史新高，为什么现在买”。 这就是原因。他们参与了未来每一个部署的 TPU/GPU/ASIC。 如果谷歌 TPU 和其他芯片支出增加，且 LITE 从每个美元支出中占据 2-3%（来自 $NVDA, $AMZN, $MSFT）或 8-12%（来自 $GOOGL），$LITE 最终很容易超过 $60B+。
原推 ↗英文原文
The $LITE thesis: The hidden monopoly in the AI. Lumentum is up 316% YTD, but might be 1000%+ by 2027. Micron ($300B) or TSM ($1.5T) sit in the center of every TPU/GPU deployed. But same with $LITE, but it's a $26B MC. In Every, Single, TPU from Google, $LITE makes unbelievable amounts of profit for their marketcap. That's because it's the standard for Optical Circuit Switching (OCS) + optical networking. It's also in - $NVDA Blackwell -$AMZN Trainium - and other hyperscaler ASICs. Lumentum sits in the holy trinity of every single chip deployment for photonics. And for every TPU capex spent, $LITE takes 8-12%. For every Nvidia GPU, $LITE takes ~2-3% (split between Innolight and some others, so the math gets a bit complex). But some napkin math on NVDA GPU deployments alone for BOM: NVIDIA Blackwell (GB200): HBM memory: ~50–55% (SK Hynix (Lead), Micron, Samsung) Logic (GPU Die): ~25-30% ( $TSM 4NP) CoWoS Packaging: ~13-18% $TSM Optics/Network: ~3–5% (Innolight, Lumentum, Coherent) PCB/Power: 5% For Google TPIU "Ironwood" TPU v7: HBM Memory: 38-42% Samsung / SK Hynix Logic Die: TSM ~28-33% Design/I.O: 8-10% MediaTek Optical Network: 10-14% ( $LITE (primary), $COHR secondary) Optical Switch: 2-4% $LITE $LITE est. total cluster share: ~8–12% Just an FYI, Google's "Optical" BOM share (8–12%) is an anomaly due to their unique Optical Circuit Switch (OCS) monopoly. Just for some napkin math: $40B Google TPU spend by 2027. $LITE captures 10% (30-40% margins), $1.5B+ FCF from Google alone, 17x earnings from just their primary customer. (analysts are probably extremely off with projecting TPU spend scaling). Not even including their split from $AMZN Trainium, $NVDA Blackwell, $MSFT Maia, and other chip deployments. $LITE is in the center of every single TPU/GPU future chip deployment for now and takes a cut. The only downside is they're the clear market leader now, but $AVGO and $COHR are likely set up to compete by 2027-2028. However... People say "$26B, ATH, why are you buying now". This is the reason. They're involved in every future single TPU/GPU/ASIC deployed. $LITE could end up easily over $60B+ if Google TPUs, and other chip spend ramps up and LITE takes a 2-3% (from $NVDA, $AMZN, $MSFT) or 8-12% cut (from $GOOGL) for every single dollar spent.
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OpenAI 高估值融资改善 AI 数据中心与供应链风险偏好
最新消息：OpenAI 在完成 5000 亿美元估值、100 亿美元以上的 Amazon 轮融资后，正在以 7500 亿美元估值继续融资。 $CRWV：+15.85% $NBIS：+10.28% 有了这笔交易，像 CoreWeave 和 Oracle 这样的公司，在为 OpenAI 的资本开支需求建设容量时，对手方风险在结构上降低了，因为 OpenAI 的资产负债表更强了。 像 Nebius 这种算法上和行业龙头绑定的公司，也因此上涨。 从 Rocket Lab 到 Bitcoin，高 beta 资产普遍上涨。 最近因为日元套息交易解除，加上今天大量未平仓合约到期，市场出现了极端波动。 不过，AI 交易的基本面（尤其是 Micron 神级财报显示了极强内存需求）以及 Neocloud 的基本面，仍然比以往更好。
原推 ↗英文原文
Latest news: OpenAI is raising funds at a $750B valuation after their $10B+ Amazon round at $500B. $CRWV: +15.85% $NBIS: +10.28% With this deal, companies like Coreweave and Oracle structurally have less counterparty risk with OpenAI's stronger balance sheet to fund capex requirements. Companies like Nebius that are algorithmically tied to the sector leaders are up as a result. High-Beta Assets from Rocketlab to Bitcoin are up across the board. There was extreme volatility recently with the Yen carry trade unwinding + large open interest expiring today. However, the fundamentals of the AI trade (especially with Micron's godlike ER showing extreme memory demand), and Neoclouds remain better than ever.
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Amazon 投资 OpenAI 对 AI 数据中心和 ASIC 供应链的连锁影响
最新：Amazon 的 100 亿美元 OpenAI 融资，以及 AI 供应链的涟漪效应。 $AMZN 将以 5000 亿美元以上估值向 OpenAI 投资 100 亿美元以上。 为什么这是 AI 股票的重大结构性变化： 1. AI 数据中心交易去风险：（$ORCL、$CRWV、$APLD、$CORZ） 结合前面提到的 SPEED 法案，影响 Neocloud 的主要问题是： 1. 数据中心延迟和递延收入 2. 不可持续的 CapEx -> 没有 FCF 3. OpenAI 传染/积压订单风险 SPEED 法案直接处理了第 1 和第 2 点，但没有处理 OpenAI 相关的第 3 点。 影响 Oracle、CoreWeave 等最大 Neocloud/数据中心提供商的主要担忧，是它们为 OpenAI 这个对手方投入了巨额 capex，而 OpenAI 本身没有足够资金承诺这些资本开支。 但现在，随着 Amazon 新融资，第 3 点开始被解决。 - 新增 100 亿美元资金，加上 Amazon 的资产负债表支持 ChatGPT 的创造者，OpenAI 对 Oracle 和 CoreWeave 的早期承诺开始获得兜底。 - 下游影响：这直接降低了 $CRWV 和 $ORCL 的风险，因为它们在为 OpenAI 建设容量。再往下两层，依赖 CoreWeave 作为租户的 $APLD 或 $CORZ 也会被去风险。 由于 CoreWeave 和 Oracle 被视为“行业龙头”，这会立刻改变整个 Neocloud 板块的情绪，包括 $NBIS、$IREN、$CIFR、$WULF 等。 2. Hyperscaler AI capex 浪潮（$AMZN、$MRVL、Alchip）： 我们之前看到，$AVGO ASIC backlog 之后，市场开始担心 hyperscaler 支出减弱，很多相关玩家因此大跌。 但这笔交易的关键条件之一，是 OpenAI 采用 Amazon 自研 Trainium ASIC。这代表非 Nvidia 集群会激进扩张。 - 设计与 IP：直接利好 Marvell（$MRVL）和 Alchip 等 ASIC 设计伙伴。 - 定制硅集群需要大量光互连和 HBM。这会为光子（$AAOI、$LITE、$COHR）和内存（$MU、SK 海力士）创造新的 capex 超级周期。 - 代工厂，比如 $TSM。 以及更多参与 hyperscaler ASIC 建设的相关公司。 唯一输家？Nvidia（$NVDA）。 Amazon 正在成功用它庞大的资产负债表，迫使领先 LLM 摆脱对 H100/Blackwell 的依赖，同时推动整条 AI 供应链。 核心结论是，AI 交易由世界上最富有的公司资助，比如 $AMZN；OpenAI 也正在证明，它可以通过出让股权来扩大资产负债表，以满足需求。 做多 AI 板块。
原推 ↗英文原文
Just In: Amazon's $10B OpenAI Funding and The AI Supply Chain Ripple Effect. $AMZN is set to invest $10B+ in OpenAI at a $500B+ valuation Why this is a MASSIVE structural shift for AI stocks: 1. De-Risking the AI DC trade: ( $ORCL, $CRWV, $APLD, $CORZ ) With the SPEED Bill mentioned earlier, the main issues affecting Neoclouds were: 1. DC Delays & Deferred Revenue 2. Unsustainable CapEx → No FCF 3. OpenAI Contagion/Backlog. the Speed bill directly addresses #1 and #2. But not #3 with OpenAI. The main fears affecting the biggest Neocloud/Datanceter providers like Oracle, Coreweave was their immense capex spend for a counterparty (OpenAI) that doesn't have the funding to commit to it's capex spend. But now, #3 is starting to be addressed with the new Amazon funding. - With a fresh $10 Billion and Amazon’s balance sheet backing the creator of ChatGPT, OpenAI's early commitments to Oracle and CoreWeave are now starting to be backstopped. - Downstream Impact: This directly derisks companies like $CRWV and $ORCL, who are building capacity for OpenAI. And by two hops, companies like $APLD or $CORZ that rely on Coreweave as a tenant. As Coreweave and Oracle are seen as the "sector leaders" this immediately changes sentiment across the whole Neocloud sector from $NBIS, $IREN, $CIFR, $WULF and others as well. 2. The HyperScaler AI capex wave ( $AMZN, $MRVL, Alchip): We've seen fears after $AVGO ASIC backlog about hyperscaler spending waning. And many related players tanked on the news. However, a key condition of this deal is OpenAI’s adoption of Amazon’s proprietary Trainium ASICs. This signals an aggressive scaling of non-Nvidia clusters. - Design & IP: Direct benefit to ASIC design partners like Marvell ( $MRVL ) and Alchip. - Custom silicon clusters require massive optical interconnects and HBM. This creates a new capex supercycle for photonics ( $AAOI, $LITE, $COHR ) and memory ( $MU, SK Hynix). - Foundries such as $TSM. and many more related companies involved in the buildout of hyperscaler ASICs. The only loser? Nvidia ( $NVDA ). Amazon is successfully using its massive balance sheet to force the leading LLM to diversify away from H100/Blackwell dependence and boosting the whole AI supply chain alongside it. The main takeaway is that the AI trade is funded by the richest companies in the world, such as $AMZN, and OpenAI is showing it can scale up its balance sheet to meet requirements by trading off equity. Go long on the AI sector.
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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。
原推 ↗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 $GOOGL TPU ramp. What are you watching or buying on Monday?
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认为 FinX 散户泡沫短期拥挤但长期方向常常正确
FinX 是泡沫。/r/wallstreetbets 上的交易员也是。 人们都持有同样的股票：$NBIS、$TE、$ASTS、$HOOD、$RKLB、$IREN、$KRKNF、$ONDS、$SOFI、$AMD、$TSLA 等。 但是：这是好事。 这些年我一遍又一遍看到这种情况。 短期看，当人们买 1-3 个月期权时，他们会在这些“泡沫化”和拥挤交易里亏钱。 但从一年后的长期看，散户对这些公司的方向判断往往是对的。 这才是最重要的部分。 例如，一两年前 $NVDA 刚起飞时，$TSM（140-150 美元）是 Reddit 上最热门的 ticker。 散户方向上看对了，因为 $TSM 是整个 AI 建设的中心。 短期里，所有人都亏钱了，因为他们买了两个月后的 call，而股票横盘，甚至跌到 127 美元。 一年后，它涨了 100%+，那些 call 本来会涨 10 倍。 $MU 也一样。Reddit 知道内存是 AI 热潮的重要组成部分，于是都挤进同一笔交易。 但 $MU 在 100 美元横盘了一整年，大家都亏钱了。 快进到现在，从 Micron 到 SK 海力士，内存成了最热门的东西，股价从 65 美元冲到 245 美元，涨了 200%+。 散户方向上是对的，但中途投降了。 我确信，像 $NBIS 这样的股票，现在正处于散户买了太多短期期权，然后像当年 $TSM 或 $MU 下跌时那样，连股票也一起投降的阶段。 但快进一年，这可能就是 $TSM、$MU 或 $HOOD（18 美元时）那种 3-4 倍回报，当初散户方向其实一直是对的。 我相信 FinX 散户股票“泡沫”在较短时间框架里未必正确，因为 OI、宏观波动和做市商会主导价格；但长期方向上往往是对的。
原推 ↗英文原文
FinX is a bubble. Same with traders on /r/wallstreetbets. People own the same stocks $NBIS, $TE, $ASTS, $HOOD, $RKLB, $IREN, $KRKNF, $ONDS, $SOFI, $AMD, $TSLA and others. However: It’s a positive thing. I’ve seen this on repeat again and again throughout the years. Short term when people buy 1-3 months options, they lose money on these “bubbly” and crowded trades. Long term 1 year later, retail gets these companies directionally right. And this is the most important part. For example, $TSM ($140-$150) was the most popular ticker a year or two ago on Reddit when $NVDA was initially taking off back. Retail got this directionally right, because $TSM was the center of all AI buildout. Short term, everyone lost money because they bought calls for 2M out and the stock stalled and even dropped to $127. One year later it’s up over 100%+ and all those calls would have 10x’ed. Same with $MU. Reddit knew memory was a huge part of the AI boom and piled in on the same trade. Yet $MU stalled at $100 for an entire year and everyone lost money. Fast forward, memory from Micron to Sk Hynix is the hottest thing now and shot up 200%+ from $65 to $245 . Retail got this right directionally right but capitulated. I’m convinced on stocks like $NBIS that we’re in the period of time where retail bought too many short dated calls and are capitulating with shares like the drops on $TSM or $MU. However fast forward a year, this might be that 3x-4x return like $TSM or $MU or $HOOD (at $18) where retail was directionally right all along. I’m confident Finx Retail stock “bubbles” might not be right in shorter timeframes - where OI, macro volatility, and MMs dominate - but are right directionally long term.
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博通财报后AI板块抛售是误解造成的买入机会，新云板块中OpenAI依赖股除外
博通[$AVGO]业绩及其对AI板块的影响，如$LIITE和$NBIS： 博通的业绩"双重超预期"，营收$180.2亿(+28% Y/Y)，EPS $1.95，超出共识预期。 但AVGO下跌-11.64%，并拖累了整个AI板块。 这是买入机会吗？ 是的。 博通被视为超大规模云厂商ASIC代理增长的代表，因为亚马逊$AMZN Trainium、微软$MSFT Maia、尤其是谷歌$GOOGL TPU V7 Ironwood都通过它进行规模化部署。 而像$ALAB(-13.2%)、$CRDO(-5.11%)、$LITE(-12.23%)、$TSM(-3.71%)、$COHR(-9.25%)等公司都是TPU/ASIC建设以及博通作为公司的直接受益者。 博通下跌有三个原因，市场下跌有一个原因： 就博通而言，有一些小问题，如税率变化影响EPS模型，或因更多定制AI芯片而非更高利润率软件导致的"利润率压缩"，但这只是会计处理框架问题。（类似于$META在一次性税收后最初的下跌） 对博通和整体市场而言，是积压订单预期问题。以上所有引用的内容与ASIC市场预期增长相比都是小问题。 博通披露未来18个月$730亿的AI积压订单。而有关Anthropic和META购买价值数十亿$GOOGL TPU的传言，人们隐含预期是$800亿+。 然而，这次抛售是由算法和短期AI泡沫情绪驱动的价格错位，而非基本面破裂。 这条积压订单引用是确认订单的最低合同底线。谷歌$GOOGL、亚马逊$AMZN等公司可能会继续增加ASIC订单，而市场未能辨别这一细微差别。 分析师预期营收转化会更加前置，Q4之后积压订单应该会减少，这给出了2026年更高的可能范围$550-600亿+，而非$730亿预期中的$500亿。 TLDR：关于超大规模云厂商ASIC加速以与$NVDA依赖竞争这一论点没有改变。$AVGO和其他如$COHR、Sk Hynix、$MU、$VRT和$LITE都将受益。 这不是关于营收积压订单的最佳消息，但由于交付周期/订单周期和最低底线而被误解。 如果非要说什么，较低的超级云厂商ASIC需求对$NVDA及其生态系统是有益的，但我们也看到$CRWV、$SMCI、$NBIS和$NVDA GPU/DC计算生态系统今天都从盲目抛售中下跌超过5%，尽管存在负相关性。 这又是典型的"AI泡沫"周期因误解而再次来袭。AI股票普遍下跌10-12%的恐慌是一个绝佳的买入机会。 （该推文引用了@aleabitoreddit的推文，引用内容仅供理解语境）: 甲骨文[$ORCL]业绩及其对新云板块如$NBIS和$IREN的影响： 甲骨文报告EPS超预期且积压订单创纪录，但盘后下跌12%。 甲骨文较9月11日高点下跌39.8%，并拖累整个板块。 原因如下： 这次抛售不仅仅是对边际营收miss的反应，而是算法做空和投资者对AI资本支出周期可持续性以及该板块主要租户信用资质的不看好： OpenAI。 甲骨文宣布2026年资本支出增加$150亿至近$500亿，这与报道的与OpenAI $3000亿合作伙伴关系密不可分。 最初，OpenAI是前沿LLM，对甲骨文、Coreweave等公司有前景良好的资本支出承诺，促成了该板块的初始重新定价。 然而，随着超过$1万亿的义务以及Anthropic、Gemini、XAI等竞争对手的增加，市场严重质疑甲骨文、Coreweave等公司是否为无法从运营现金流履行其义务的租户在建设。 我们看到市场有效地发出信号：甲骨文正在为OpenAI创造一种不可持续的债务驱动型"供应商融资"，而OpenAI无法履行其承诺。 因此下跌是理性的：这次抛售是由信用风险和资本密集度的理性重新定价所驱动。 OpenAI融资担忧是合理的：OpenAI缺乏资金履行合同的假设得到其营收($130亿)与义务($600亿/年)之间明显不匹配的支撑。 信用担忧是真实的：甲骨文CDS利差扩大显示"信用事件"降级或违约的概率上升。 此外，我们看到这在新云板块引发传染效应，$NBIS从$140跌至$90s，$IREN从$80跌至$40s，$CIFR从$24s跌至$17s。 但这对$WULF、$NBIS、$IREN等新云公司来说是买入机会吗？ 是的。 这对$ORCL来说是好的买入机会吗？ 不是。 前瞻展望： $ORCL（很大一部分）、$CRWV（25%积压订单）是两个主要依赖OpenAI的公司，这一叙事可能因OpenAI的融资活动而瞬间翻转（+30%+变化）。 如果OpenAI在2026年以高估值超额认购IPO，且其新GPT模型击败Gemini/Claude，我们可以看到这种改变。 然而，许多其他公司与OpenAI无关。新云板块的原始论点是Mag7资本支出从其现金牛业务（Azure、AWS、GCP）向下流向：$NBIS、$IREN、$CIFR、$WULF等。 但随着最大玩家($ORCL、$CRWV)下跌，这些公司算法性地拖累了整个板块。 如果你看各家公司，$CIFR和$WULF由$GOOGL兜底，$IREN/$NBIS由$MSFT资助。 这些是与超大规模云厂商/Mag7的锁定合同积压订单，而非OpenAI。 这种因误解风险而导致的不理性抛售为新云板块提供了绝佳的买入机会，但不是与OpenAI相关的公司如$ORCL和$CRWV。
原推 ↗英文原文
Broadcom [ $AVGO ] earnings results and its effect on the AI sector like $LITE and $NBIS: Broadcom's ER was "double beat" with $18.02B revenue (+28% Y/Y) and $1.95 EPS, beating consensus. But AVGO dropped -11.64% and brought down the AI sector. Is this a buying opportunity? Yes. Broadcom is seen as a hyperscaler ASIC proxy growth as companies like $AMZN Trainium, $MSFT Maia, and most importantly $GOOGL TPU V7 Ironwood are scaled through it. And by proxy companies like $ALAB (-13.2%), $CRDO (-5.11%), $LITE (-12.23%), $TSM (-3.71%), $COHR (-9.25%), and are direct beneficiaries of the TPU/Asic buildout and Broadcom as a company. There's three reasons why Broadcom fell and one why the market fell: For Broadcom, there's minor things such as tax rate changing EPS models or "margin compression" from accounting from just more custom AI chips than higher-margin software, but this is just accounting framing. (Similar to how $META dropped initially on one-time tax post-ER) For both Broadcom general market, it was backlog expectations. Everything cited above is all minor compared to expected growth of ASIC markets. Broadcom cited $73B in AI backlog for the next 18 months. And rumors of Antrophic and META buying billions of $GOOGL TPUs, people were implicitly expecting $80B+. However, the selloff represents a dislocation in price driven by algorithms and short-term AI Bubble sentiment rather than a fundamental breakage. This backlog quote was the MINIMUM CONTRACTUAL FLOOR of confirmed orders. Companies like $GOOGL, $AMZN, will likely continue ramping up ASIC orders and the market failed to discern this nuance. Analysts are expecting revenue conversion to be more front loaded, and that there should be less backlog beyond Q4 given the cycles, which gives a higher likely range of $55-60B+ for 2026 rather than $50B expected of the $73B. TLDR: The thesis regarding hyperscaler ASIC ramp to compete vs $NVDA dependency has not changed. $AVGO and other players like $COHR, Sk Hynix, $MU, $VRT, and $LITE all stand to benefit. It's not the best news regarding the revenue backlog, but it's misunderstood due to lead-time/order cycles and minimum floors. If anything, lower hyperscaler ASIC demand is beneficial to $NVDA and their ecosystem, but we've also seen $CRWV, $SMCI, $NBIS and $NVDA GPU/DC compute ecosystem drop over 5%+ today from an indiscriminate sell-off despite inverse correlation. This is just the typical "AI Bubble" cycle hitting again from misunderstanding. The widespread panic of AI stocks dropping 10-12% is a great buying opportunity.
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看好$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。
原推 ↗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
原推 ↗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-$60 or something and just got a bunch of hate comments for the next three weeks lol
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看好$AAOI，因其在AI光互联中的核心地位及美国本土制造优势，认为其被严重低估。
我买入 $ALAB、$NBIS、$TSM 和 $LITE，是因为“七巨头”(Mag7) 的收入正流向这些公司。 $LITE 的独特之处在于其在 GOOGL TPU v7、AMZN Trainium v3/4 和 NVDA Blackwell 中的角色。 但我发现了一个新标的。 一家市值低于 30 亿美元的小盘股，符合我的投资逻辑： 名称 - $AAOI 一家小型光子学玩家，也是我持仓的两家光子学公司之一： 1. Lumentum ($LITE) 在每一款芯片的部署/爬坡中都占据独特地位，因为其光电路交换(Optical Circuit Switching) 技术被用于 Blackwell、Trainium 和 Ironwood，作为一种“横向扩展”(scale-across) 型技术。 无论超大规模云厂商选择 ASIC 还是 GPU，$LITE 都能胜出，因为它处于核心位置。 2. Applied Optoelectronics ($AAOI) 更多涉及“纵向扩展”(scale-out) 连接，针对 Trainium、Maia 等定制 ASIC 集群，通过 400G 和 800G 光缆及光收发器实现。 鉴于 $AAOI 在 AWS（Trainium 的大客户）和 MSFT Maia ASIC 中的角色，它也能无论何种情况都胜出。 行业正经历由向 800G 速度迁移驱动的“超级周期”，而 AAOI 正处于中心位置。 此外，AAOI 具有独特的地缘政治角度： 美国优先。 与许多无晶圆厂(fabless)并将生产外包到台湾的公司不同，Applied Optoelectronics 在德克萨斯州自行制造激光器。 美国超大规模云厂商（特别是 Amazon 和 Microsoft）正在积极减少对关键基础设施中国供应链的依赖，这有助于 AAOI 实现本土激光器制造。 我们还看到一家“主要超大规模云厂商”对其 800G 数据中心光收发器下达了另一笔巨额订单。 但 AAOI 的交易表现像一家困境公司；然而，其亚马逊权证协议隐含的收入为 2025 年 Q4 和 2026 财年的 800G 爬坡创造了非对称的风险/回报特征。鉴于其在 AI 建设中的角色及现有的超大规模云厂商合同，AAOI 似乎结构性被低估。 市场终于开始重估 $LITE，但感觉 $AAOI 才刚刚开始，鉴于其小市值以及作为超大规模云厂商 ASIC 集群关键玩家和“美国制造”的独特角度。 市场目前正在对光子学玩家进行大幅重估并赋予高溢价，但 AAOI 今年仅上涨 2.20%，似乎蓄势待发。
原推 ↗英文原文
I entered $ALAB, $NBIS, $TSM, and $LITE because of Mag7 funneling revenue numbers into them. Lite uniquely because of its role in GOOGL TPU v7, AMZN Trainium v3/4, and NVDA Blackwell. But there's a new one I found out about. A small cap <$3B player that fits the thesis: Name - $AAOI A small cap photonics player, and one of the two photonics players I'm invested in: 1. Lumentum is uniquely positioned in every single supply chip deployment/ramp, as the Optical Circuit Switching technology is used in Blackwell, Trainium, and Ironwood as a "scale-across" type technology. $LITE wins no matter what. Hyperscaler ASIC vs. GPU as it's in the center of it all. 2. Applied Optoelectronics is more of the "scale-out" connectivity, for custom ASIC clusters like Trainium, Maia through 400G and 800G optical cables and transceivers. $AAOI wins no matter what as well given its role with AWS as a whale client for Trainium, and with MSFT Maia ASICs. The industry is going through a "supercycle" driven by the migration to 800G speeds and AAOI is in the center of it. On top of that, AAOI plays unique geopolitical angle, America first. Unlike many other companies that are fabless and export production elsewhere to Taiwan, Applied Optoelectronics makes their own lasers in Texas. US hyperscalers (specifically Amazon and Microsoft) are aggressively reducing reliance on Chinese supply chains for critical infrastructure and that helps AAOI’s ability to manufacture lasers at home. And we've seen another huge volume order from a "major hyperscaler" on its 800G data center transceivers. But AAOI trades like a distressed company; however, the implied revenue of its Amazon warrant agreement creates an asymmetric risk/reward profile on its 800G ramp in Q4 2025 and FY2026. AAOI seems structurally undervalued, given its role in the AI buildout and existing hyperscaler contracts. The markets are finally catching up to LITE, but it feels $AAOI is yet to begin, given its small market cap size but unique angle of a critical player to hyperscaler ASIC clusters and Made in America. The market is currently re-rating heavily with photonics players and assigning a heavy premium, yet AAOI is only up 2.20% this year and seems like it's just about to begin.
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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。
原推 ↗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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大幅加仓TSM并适度买入CRCL，看好其突破机会及USDC业务前景。
今天大幅加仓了 $TSM，价格约 $302.5。 同时也适度加仓了 $CRCL，价格约 $87.2。 自 $TSM 创下纪录般的业绩以来，股价一直在震荡整理，直觉告诉我它随时可能突破。这纯粹是凭感觉。 至于 $CRCL，虽然降息对其不利，但美元稳定币 (USDC) 的铸造仍在持续。加密货币也从12月的降息中反弹，且股份解禁已完成。 因此我认为 $190亿市值是一个很好的机会。自首次公开募股 (IPO) 以来我就想做多 Circle，但直到最近才等到机会。
原推 ↗英文原文
Added very heavily in $TSM today ~$302.5. Also added a decent amount in $CRCL positions at ~$87.2. We’ve been chopping since record breaking earnings from $TSM just felt it would breakout anytime now. This is just gut feeling. As for $CRCL rate cuts hurt, but the USDC printer keeps on going. Crypto also rebounding from Dec rate cut, and share unlock is done. So felt $19B MC was a good opportunity. I wanted to go long on Circle ever since IPO but never got the opportunity to until recently.
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更新持仓表现，计划逢高加仓AMKR/SMCI，等待LITE回调。
持仓更新： 持有高确信度的多头头寸如 $NBIS 并卖出期权，周末相对轻松。 上周小幅加仓更新： $LITE - $316.5 (+5.53%) -> ~$335.91 Lite 受益于 $NVDA Blackwell 和 $GOOGL v7 TPU 的产能爬坡。 $AMKR - $37.6 (+18.4%) ~$44.5 受益于美国关于与 $TSM 建厂的政策。 $SMCI - ~$32.92 (+5.97%) ~$210.3亿 （明年营收同比增长60%，季度积压订单延迟导致的40%跌幅是不合理的）。 $TTD - $38.6 (+3.78%) ~$40.6 除了 $CRWV 再融资20亿美元并拖累其他 Neoclouds，以及华纳兄弟1080亿美元 Paramount 收购案风波外，没看到太多新闻。 可能会在 $AMKR 和 $SMCI 上逢高加仓，等待 $LITE 更深幅度的回调。
原推 ↗英文原文
Stock position updates: Sitting on high-conviction longs like $NBIS and writing options, relatively lax weekend. Minor position adds updates from last week: $LITE - $316.5 (+5.53%) -> ~$335.91 Lite benefits from $NVDA Blackwell + $GOOGL v7 TPU rampup $AMKR - $37.6 (+18.4%) ~$44.5 Benefits from US-policy regarding Fab with $TSM. $SMCI - ~$32.92 (+5.97%) ~$21.03B (60% Y/Y revenue growth going into next year, the 40% drop for quarter backlog delay was unwarranted). $TTD - $38.6 (+3.78%) ~$40.6 Haven't seen too much news aside from $CRWV raising another $2B and tanking other Neoclouds. Or the $108B Paramount bid drama for Warner. Probably going to cost average up on $AMKR, $SMCI, waiting on a deeper drops for $LITE.
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建议搭配稳健股以平衡NBIS的高波动风险。
@MMerrino569447 100% $NBIS 可能是上行空间最大的投资组合，哈哈。话虽如此，拥有一些更稳健的复利增长股如 $AVGO 或 $TSM 来追踪更广泛的板块增长是很好的，这样你就不会像最近那样因波动（30-40%的下跌和上涨）而感到过于恐慌。
原推 ↗英文原文
@MMerrino569447 100% $NBIS is probably the highest upside portfolio lol. That being said it's nice to have some steadier compounders like $AVGO or $TSM to track the broader sector growth so you don't get too scared on the volatility (30-40% drops and increases) like of recent.
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ASML跟踪晶圆厂周期，是长期复利资产，可替代直接受益股。
我没有纳入 $ASML，因为它的走势跟踪的是晶圆厂周期，而非像 $TSM 或三星电子那样涵盖整个 AI 资本支出交易（涵盖代工+存储+其他）。 但作为唯一的光刻机(EUV)供应商，它是一笔优秀的长期复利资产，尽管其表现不如追逐下一代 TPU/Blackwell 周期/LLM-agent 建设最直接受益者那样强劲。 我相信你可以用 ASML 替换上述任何一只股票。
原推 ↗英文原文
I didn't include $ASML since they track fab cycles rather than the whole AI capex trade which $TSM or Samsung Electronics does (foundry + memory + misc) But it's a good long term compounder as the sole EUV supplier vs. chasing the most direct beneficaries of the next TPU/Blackwell Cycle/LLM-agent buildout. I'm sure you can swap out any one of the above with ASML
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分析Google TPU v7供应链，建仓Lumentum以博弈TPU生态扩张。
对 $GOOGL TPU v7 Ironwood 供应商的分析。 以下是受 Google TPU 建设影响最大的公司列表。 + 我正在建仓的 TPU 相关股票。 [关键] 设计/IP： - 博通 [ $AVGO ]：共同设计并实现 Google 的 TPU ASIC（专用集成电路） [关键/高] 半导体晶圆代工： - #1 台湾半导体 [ $TSM ]：TPUv7 在 TSMC 3nm 工艺制造 - #2 三星电子：次要存储及晶圆代工合作伙伴 [关键/高] 存储： - #1 SK 海力士：为 TPUv7 Ironwood 提供 HBM3E - #2 三星电子：~TPUv7 特定报告强调 SK 海力士 + 三星。 [高] 光网络： - Lumentum [ $LITE ]：Google 广泛使用光电路交换 (OCS) - Coherent [ $COHR ]：OCS 参与者但较弱 [高] 电源管理 IC： - Monolithic [ $MPWR ]：这是一个投机性观点，即 Vicor 将被 $MPWR 取代，源自财报中提及 TPU [中] 热管理： - Vertiv [ $VRT ]：Vertiv 供应作为液冷系统核心的 CDU（冷却分配单元），将冷却液泵送至 TPU 芯片的冷板 - Modine [ $MOD ]：更投机性地认为他们提供大型冷水机组和空气处理单元 (AHU) [中] 互连： - TTM Technologies [ $TTMI ]，$ANET，Unimicron，Ibiden ______ Google TPU v7 “Ironwood” 的建设代表了一个旨在打破 $NVDA GPU 垄断的平行硅生态系统的构建。 实质性影响最集中在博通（作为硅架构师和商业载体）、存储综合体（SK 海力士/三星）以及光网络/电源领域（Lumentum/Vertiv），这是基于公开证据创建的，但很大程度上取决于采用率、供应商份额和竞争反应的实际表现。 从这项供应链研究中，我正在 $LITE 建立新头寸，以防 TPU 成为推理领域的主导 ASIC。 Lumentum 是 Google 致力于 OCS 的主要受益者，并构成了 TPU 吊舱中使用的 “Apollo” OCS 交换机的核心。 TPU v7 集群的爬坡直接转化为 Lumentum 光开关模块的出货量。由于 OCS 是 Google 超大规模方法独有的定制架构，Lumentum 在此处面临的 commoditization（商品化）压力小于标准收发器市场。 然而，如果 Anthropic、Meta、Apple 和其他公司购买 $GOOGL ASIC 导致 TPU v7 规模扩大，该供应链中的所有公司都将受益。
原推 ↗英文原文
Analysis of the $GOOGL TPU v7 Ironwood Suppliers. Here's the list of what comapnies are the most materially impacted by the Google's TPU buildout. + the TPU stock I'm taking a position on. [Critical] Design/IP: - Broadcom [ $AVGO ]: co-designs and implements Google’s TPU ASICs [Critical/High] Semiconductor Fab: - #1 Taiwan Semi [ $TSM ]: TPUv7 is fabbed at TSMC 3nm - #2 Samsung Electronics: Secondary memory & foundry partner [Critical/High] Memory: - #1 SK Hynix: HBM3E for TPUv7 Ironwood - #2 Samsung Electronics: ~TPUv7-specific reporting emphasizes SK hynix + Samsung. [High] Optical Networking: - Lumentum [ $LITE ]: Google uses extensively uses Optical Circuit Switching (OCS) - Coherent [ $COHR ]: OCS player but weaker [High] Power Management ICs: - Monolithic [ $MPWR ]: This is speculative that Vicor will be replaced by $MPWR, from earnings mentioning TPU [Medium] Thermal Management: - Vertiv [ $VRT ]: Vertiv supplies the CDUs that act as the heart of the liquid cooling system, pumping coolant to the cold plates on the TPU chips - Modine [ $MOD ]: More speculative that they provide provides the massive chillers and air handling units (AHUs) [Medium] Interconnects: - TTM Technologies [ $TTMI ], $ANET, Unimicron, Ibiden ______ The buildout of the Google TPU v7 "Ironwood" represents the construction of a parallel silicon ecosystem designed to break the monopoly of $NVDA GPU. The material impact is most concentrated in Broadcom (as the silicon architect and commercial vehicle), the Memory Complex (SK Hynix/Samsung), and the Optical/Power sectors (Lumentum/Vertiv) and was created from public evidence but is largely dependent on adoption, vendor shares, and competitive responses actually play out. From this supply chain research, I'm initiating a new position in $LITE, in the event the TPU becomes the dominant ASIC for inference. Lumentum is primary beneficiary of Google’s commitment to OCS and form the core of the "Apollo" OCS switches used in TPU pods. The ramping of TPU v7 clusters translates directly to unit volume for Lumentum’s optical switch modules. And because OCS is a bespoke architecture unique to Google’s hyperscale approach, Lumentum faces less commoditization pressure here than in the standard transceiver market. However all companies in this supply chain are set to benefit if the TPU v7 scales up from Anthropic, Meta, Apple, and others buying the $GOOGL ASIC.
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英伟达虽面临谷歌TPU等定制芯片竞争，但中期统治力稳固，逢低买入。
英伟达($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。
原推 ↗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, $NVDA seems to be a strong mid term dip-buy now on fears, given the exceptional blowout earnings and backlog for the next 2 years. This is the only thing you need to remember: NVIDIA is a strong buy as long as it remains the industry’s first choice for AI workloads, with TPUs and AMD GPUs filling gaps when demand exceeds NVIDIA’s supply. Nvidia is maxed out on backlog, and AI demand is not slowing down.
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TPU/AMD因NVDA产能受限受追捧，若NVDA产能过剩才需担忧竞争逆风。
问得极好，我关于谷歌TPU（张量处理单元）有一个非常详尽且微妙的论点。 总结：真正需要担心的是，如果TPU和AMD在长期表现上优于$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。
原推 ↗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。
原推 ↗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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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
原推 ↗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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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。
原推 ↗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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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。
原推 ↗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。
原推 ↗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 $TSM. I'm sure there's more I missed out but the selloff was broad so it's a good chance to buy into stocks with growing fundamentals.
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TSM盈利是AI核心指标，超大规模云厂商建设不受NVDA财报影响。
我的观点是，$TSM 的未来盈利（forward earnings）是迄今为止人工智能交易（AI trade）最大的指标，因为它涵盖了从 $GOOGL TPU 生产到 $AMZN，以及 $NVDA、$AMD 等所有超大规模云服务商（hyperscalers），且我们已看到其盈利和利润率大幅超出预期。 即使 $NVDA 的未来营收被大幅下调（我对此表示怀疑），也不会使 $MSFT 到 $IREN、$AMZN 到 $CIFR 等公司已签订的多年度算力（compute）积压订单失效。 我们已看到 Anthropic 与 $MSFT Azure 的算力协议（这将惠及 $NBIS、$IREN 和 $CRWV 等），$GOOGL 近日建设超 400 亿美元的数据中心（此前已与 $WULF、$CIFR/FluidStack 签署托管设施（colo）协议），$NVDA 的财报不会改变超大规模云服务商的建设步伐。 但它确实对整个 AI 交易产生重大影响，并直接影响 $NVDA GPU 板块（例如重度依赖 $NVDA 的 AI 云厂商）。
原推 ↗英文原文
My opinion is that $TSM forward earnings was the biggest indicator of the AI trade so far since they span from all hyperscalers such as $GOOGL TPU prod to $AMZN, as well as $NVDA, $AMD, and we've already seen them blow away earnings + margins. Even if $NVDA forward revenue is quoted heavily downward (which I doubt), it won't invalidate multi-year contracted compute backlog from $MSFT to companies like $IREN or $AMZN to $CIFR made already. We're already seeing Anthropic x $MSFT compute deals with Azure today (which flows down to $NBIS, $IREN and $CRWV others), $GOOGL build out a $40B+ datacenter the other day (they've made colo deals with $WULF, $CIFR / fluidstack previously), and $NVDA earnings won't the change the hyperscaler buildout. But it does have a large impact on the overall AI trade as well + directly affect $NVDA GPU parts of the sector (eg. $NVDA heavy AI clouds).
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宏观利好预期下，建议布局基本面稳健的高Beta成长股。
网上有很多只发标题党的帖子。 我通常尝试在标题之上连接线索，并补充“为什么”（因为它能推动市场）。 关于新宏观环境的TLDR（对$NBIS、$IREN等高Beta股看涨）： 1⃣ 结束政府停摆的协议正在成型 - Axios（政府停摆可能在~5天内结束） 评论：过去一两个小时内，事件合约赔率从27%跳升至54%。我们正在定价近期解决。 • 政府支出恢复后，流动性回流。 • 市场重新定价更高的GDP增长。 • 消费者支出立即回升。 • 不确定性消退（市场讨厌不确定性）。 结果 → 预期当风险偏好回归时，高Beta和周期性股票表现良好。 2️⃣ 向美国纳税人提议$2,000“关税红利” 评论：感觉像是COVID刺激的迷你版。那些存款引发了零售支出的最快跳跃，人们用那笔钱购买从比特币到英雄联盟皮肤的一切。但这至少来自关税。 • 对资产有利：更多资金流入经济。 • 可能导致通胀：需求压力增加，美联储后期可能反击。 • 短期：对风险资产和成长股极度积极。中长期：可能因通胀和美联储收紧而适得其反。 • 此类举措通常旨在短期内点燃市场，利好任何高成长标的。 结果 → 预期在正式重开前抢跑，并在确认后飙升。 你可以看到像$ETH这样的资产因上述两者的结合开始从$3300->$3500恢复，作为一个例子。 再次强调，我预期了像#2这样的情况，仅仅是因为明年中期选举临近。执政党如果市场表现良好通常会连任（所以我预期像#2 + 施压美联储降息，所以市场上涨）。 当然，这只是新消息+猜测，鉴于决策的波动性，不一定是事实lol。但总体上关注那些回调但基本面仍在增长的股票，例如$NBIS、$RDDT、$ALAB等。
原推 ↗英文原文
Lot of headline-only posters out there. I usually try to connect the dots on top of the headlines and fill in the why (it moves markets). TLDR on the new macro setup (bullish for high-beta names like $NBIS, $IREN, etc): 1⃣ DEAL TO END GOVERNMENT SHUTDOWN TAKES SHAPE - Axios (Government shutdown likely ending within ~5 days) Commentary: Event-contract odds jumped from 27% → 54% in the past hour or two. We're pricing in a near-term resolution. • Liquidity flows back once government spending resumes. • Market reprices GDP growth higher. • Consumer spending picks up immediately. • Uncertainty fades (markets hate uncertainty). Result → Expect high-beta and cyclicals to do well when risk appetite comes back. 2️⃣ $2,000 “tariff dividend” proposal to American taxpayers Commentary: Feels like a mini-version of the COVID stimulus. Those deposits triggered the fastest jumps in retail spending, people were buying everything from Bitcoin to League Skins with that. But at least this came from tariffs. • Great for assets: more money flowing into the economy. • Might lead to inflation: more demand pressure, potential Fed pushback later. • Short-term: Extremely positive for risk assets and growth names. Mid to long-term: Could backfire with inflation and the Fed tightens. • Usually moves like this aim to ignite markets in the near term, good for anything heavy growth. Result → Expect frontrunning before the official reopening and a spike once it’s confirmed. You can kinda see stuff like $ETH start its recovery from the combination of the two above $3300->$3500 as an example. Again I expected things like #2, just due to midterms coming up next year. The party in power usually gets re-elected if markets seem to be doing well (so I'd expect stuff like #2 + fed pressured rate cuts, so markets go up). Of course this is just new news + speculation, not facts for sure given how volatile decisions are made lol. But generally focus on stocks that corrected but still have growing fundamentals eg. $NBIS, $RDDT, $ALAB, etc.
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高贝塔股大幅回调，建议基本面完好者逢低布局。
全面的回调简直令人作呕。 高贝塔值成长股过去5天的表现： • $SMCI -26.11% • $RKLB -19.85% • $CRCL -19.81% • $NBIS -19.14% • $WYFI -18.55% • $ALAB -16.64% • $CRDO -16.8% • $HOOD -14.36% • $ASTS -14.09% • $IREN -13.22% • $AMD -11.63% • $CIFR -10.05% • $RDDT -9.00% 像 $RGTI (-27.33%)、$QBUT (-25.5%)、$QBTS (-25.43%)、$OKLO (-17.04%) 等没有收入的投机性股票，普遍出现了更大的回调。 当政府重新开放时，我预计许多投机性名称将继续下跌，而基本面完好无损的公司（例如 $CIFR、$NBIS、$TSM、$HOOD、$RDDT）将会恢复。 当前合约市场数据： 11月12日-15日：22% 11月15日：49%（下周某时约有一半几率） 11月30日：92% 在市场极度恐慌且下月第三次降息概率超过75%时，利用大幅回调布局高贝塔值股票（如果基本面完好）是绝佳时机。 像这样的大规模抛售也说明了为什么你不应该做剩余期限<30天的短期期权，即使你对 $SNAP 或 $CIFR 的财报判断正确。
原推 ↗英文原文
Pretty disgusting correction across the board. Last 5 days for high-beta growth stocks: • $SMCI -26.11% • $RKLB -19.85% • $CRCL -19.81% • $NBIS -19.14% • $WYFI -18.55% • $ALAB -16.64% • $CRDO -16.8% • $HOOD -14.36% • $ASTS -14.09% • $IREN -13.22% • $AMD -11.63% • $CIFR -10.05% • $RDDT -9.00% Speculative no revenue stocks like ( $RGTI -27.33%, $QBUT -25.5%, $QBTS -25.43%, $OKLO -17.04% etc), had larger corrections across the board. When the government reopens, I’d expect many of the speculative names to stay down, while companies where fundamentals are in tact (eg. $CIFR, $NBIS, $TSM, $HOOD, $RDDT) would recover. Current Contract Market data: Nov 12th-15th: 22% Nov 15th: 49% (~half chance sometime in the next week) Nov 30th: 92% Great time to position into higher-beta stocks during large corrections, (if fundamentals are in-tact), especially when we're in the extreme-fear part of markets and there's 75%+ of a third rate cut next month. Broad selloffs like these are also why you don't do short dated options <30dte, even if you are correct on earnings like $SNAP or $CIFR.
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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。
原推 ↗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 $TSM. If fundamentals are in tact, news headlines like "The AI Party is Over" is BS. We'll likely see a major recovery when government shutdown ends. This is likely a short-term correction pricing in a few things such as no third rate cut (86% -> 70%, still likely) + government shutdown extending past the 16th (53% chance, 30% chance 2 days ago) per contract markets.
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AMD市值潜力取决于AI模型应用，但鉴于对台积电依赖，仓位较小。
嗯，如果萨姆·阿尔特曼(Sam Altman)和埃隆·马斯克(Elon Musk)关于前沿模型能充分利用AMD的说法属实，$AMD 的市值潜力有望达到 $NVDA 目前的水平。不过，OpenAI 目前承诺每年为 $AMD 带来额外数百亿美元的前瞻性收入，这显得有些过于乐观，让我们拭目以待。这也正是我的 $AMD 仓位相对于 $TSM 较小的原因，以及我说过无需将 AMD 与 NVDA 或 $IREN 与 $NBIS 进行比较的原因，因为所有环节都依赖于 $TSM。
原推 ↗英文原文
Hmm, $AMD has potential to be $NVDA’s current market cap if what Sam Altman + Elon Musk says is true in how frontier models can use it well. Then again OpenAi is promising too many things right now in terms of an additional tens of billions of forward revenue a year to $AMD, so we’ll see. That’s kind of why my AMD position sizes were small relative to $TSM, and why I’ve said you don’t need to compare AMD to NVDA or $IREN to $NBIS when every single thing is reliant on $TSM
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感冒简评：META/NBIS错杀强买，警示IREN/ETH，宏观看多AI基建。
11月4日 - 个股分析 + 宏观 清仓抛售：$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
原推 ↗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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地缘风险被高估，美国必护台以保AI供应链核心。
关于 $TSM - 说得好。从美国投资者的角度来看，台积电（$TSM）在“台湾可能被入侵”这件事上，总是一个令人头疼的逆风因素。不过，这同时也是一个过于关键的国家安全议题。我相信，美国若有任何国家威胁到台湾，一定会出兵干预。原因很简单——台湾是整个供应链和人工智能基础设施的核心。而且，我也相信，没有任何国家愿意与美国直接开战。当涉及关键矿产贸易争端时，台积电和台湾方面也都会发表声明，表示他们的供应链并未受到影响。这就是为什么地缘政治风险并不像市场定价那样高的原因。
原推 ↗英文原文
For $TSM - 说得好。 从美国投资者的角度来看，台积电（$TSM）在“台湾可能被入侵”这件事上，总是一个令人头疼的逆风因素。 不过，这同时也是一个过于关键的国家安全议题。我相信，美国若有任何国家威胁到台湾，一定会出兵干预。原因很简单——台湾是整个供应链和人工智能基础设施的核心。 而且，我也相信，没有任何国家愿意与美国直接开战。 当涉及关键矿产贸易争端时，台积电和台湾方面也都会发表声明，表示他们的供应链并未受到影响。 这就是为什么地缘政治风险并不像市场定价那样高的原因。
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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。🎶
原推 ↗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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对比ASML、TSM和AMD，认为TSM在非对称回报上优势巨大。
@Docofgothm @pepemoonboy $ASML 追踪晶圆厂周期。$TSM 是对 AI 整体建设情况的衡量。在这种情况下，没有理由选择 ASML。就纯上涨空间而言，此时 $AMD 可能胜出，但在非对称回报（同等上涨空间下下行风险最低）方面，$TSM 以巨大优势胜出。
原推 ↗英文原文
@Docofgothm @pepemoonboy $ASML tracks fab cycles. $TSM is a measurement of AI buildout as a whole. No reason to go with ASML in that case. In terms of raw upside, maybe $AMD wins at this point, but asymmetrical returns (lowest downside for upside) $TSM wins by an enormous margin.
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TSM凭借AI基建垄断地位可随意提价，无视下游竞争。
$TSM 可以随时提价以获得更高利润率（他们预测增长 3%），而 $NVDA 无论如何都将被迫使用其服务。此外，盈利预测如预期般大幅超预期，整个 AI 建设都建立在 $TSM 之上，它并不关心 $AMD 与 $NVDA 谁胜谁负。纯粹的垄断。
原推 ↗英文原文
$TSM can raise their prices anytime for higher margins (which they projected 3% increase) and $NVDA will be forced to use them anyway. Also earning projections were a blowout as expected, whole AI buildout is on top of TSM, it doesn’t care about who wins like $AMD vs $NVDA. Pure monopoly.
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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？
原推 ↗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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认同LGN看多逻辑，指出其债务风险，强调七巨头供应链标的价值。
@gunnaosrs 是的，那正是我内部思考过的相同论点。 目前我听到的关于 $LGN 的负面消息只有债务问题以及与私募股权(PE)基金相关的某些事项，但我并未深入调查。 每当看到许多“七巨头(Mag7)”公司使用某家企业的服务时，我就会非常感兴趣（例如 $ALAB、$TSM、$CRWV）。
原推 ↗英文原文
@gunnaosrs Yeah that was my same thesis I was thinking about internally. Only negatives I've heard about $LGN so far were debt and something with P/E funds but I haven't looked into it too much. Whenever a lot of Mag7 uses a business I get really interested (eg. $ALAB, $TSM, $CRWV)
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建议买入TSM 3月300看涨期权，视溢价情况决定平仓或行权。
@DigestingX 我个人可能会买入 $TSM 3月的 $300 看涨期权(Call Options)，并在1月卖出。如果溢价(Premium)大幅飙升，就在临近到期日时行权(Row Exercise)转为股票。
原推 ↗英文原文
@DigestingX I'd probably personally do $TSM March $300 calls and sell in Jan. If it blows past premium, then just exercise it into shares closer to the date.
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台海地缘风险可控，TSM垄断地位稳固且领先INTC至少8年。
问得好，对于 $TSM 来说，台湾入侵问题始终是一个令人烦恼的逆风因素。这是一个过于关键的国家安全问题，我确信美国会与任何威胁台湾的国家开战，因为台湾处于整个供应链和 AI 基础设施的核心地位。而且我确信没有哪个国家愿意与美国直接开战。至于护城河部分，$TSM 几乎是全球都在使用的垄断者。美国支持 $INTC 不会改变其至少落后 8 年的事实。
原推 ↗英文原文
Good question, for $TSM it's always going to be an annoying headwind in terms of an invasion of Taiwan. It's too critical of a national security issue and I'm confident the US would go to war with anyone who threatens Taiwan due to the fact they're central to the whole supply chain and AI infrastructure. And I'm confident no country would want to get in a direct war with America. As for the moat part, $TSM is kinda a monopoly that everyone in the world is using. US backing up $INTC won't change the back that they're way too far behind for the next 8 years at least.
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宏观视角下，利用年底季节性、降息预期及机构资金流向，激进配置新云与AI赢家股。
宏观分析： 关注领域：资金流向 · 代理指标 · 季节性 · 仓位配置 布局： _ 新云(Neocloud)：$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。
原推 ↗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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Nebius机构正借散户恐慌在暗池吸筹，基本面强劲，属买入良机。
@MB_Hogan 哈哈，关于暗池流入的第1点，正是我在底部时大声疾呼的内容。不幸的是，许多散户被洗出局了，不过这篇总结帖很棒！
原推 ↗英文原文
@MB_Hogan lol point #1 with dark pool inflows what I was screaming at the bottom Unfortunately a lot of retail got wiped out, great summary post though! https://t.co/tC4HCQ9B3a
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WSB是底部信号，长期方向准但短视，逆向操作需定力。
@AkaliOnYT 是的，/r/wallstreetbets 是 $NBIS 等股票的绝佳底部信号。他们对 $RKLB、$HOOD、$TSM 和 $MU 的长期方向判断往往正确，但注意力持续时间只有一个月。能说服自己采取相反操作是一项特殊技能。
原推 ↗英文原文
@AkaliOnYT Yeah /r/wallstreetbets is a great bottom signal for $NBIS and others. They’re often directionally right long term $RKLB, $HOOD, $TSM, and $MU but have 1 month long attention spans. It's a special skill to convince yourself to do the opposite.
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Nebius基本面强劲，机构正借散户恐慌低位吸筹，建议买入。
Nebius 的走势完全符合机构投资者的预期： 散户恐慌。 投降式抛售。 流动性释放。 我几周前就说过：$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。
原推 ↗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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类比电竞战队，认为选手退役后相关股票可能表现良好。
@yparekh2 我的 $TSM 持仓表现一直不错，即便在 Doublelift 和其他选手退役后也是如此。因此，如果 Faker 退役，$TE 可能也会基于同样的逻辑表现良好。
原推 ↗英文原文
@yparekh2 My $TSM positions have been doing well even after Doublelift and others retired. So if Faker retires $TE might do well too with the same logic.
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建议做多NBIS/WLAC及TSM/AMZN看涨期权，认为当前是最佳做多时机。
@capybara_830 说实话，$NBIS、$WLAC，然后将 $NVO 拆分并买入 6 个月后的 $TSM 和 $AMZN 看涨期权，听起来太完美了。目前已有两次降息预期，且市场刚经历回调，正进入季节性表现最佳的月份。如果现在有任何时机做多，那就是现在。
原推 ↗英文原文
@capybara_830 Honestly $NBIS, $WLAC, then splitting $NVO into $TSM + $AMZN calls 6 months out sounds beautiful. There’s 2x rate cuts and a recent correction going into the best seasonal months. Now’s the best time to go long if any.
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认为地缘政治风险可控，看好台积电及AI基建股。
并非如此。无论特朗普政府还是其他政府，中国都不会入侵台湾，因为 $TSM 是美国最大的国家安全风险之一。 美国没有全民医保是有原因的，任何可能入侵的国家都会发现原因并遭到彻底摧毁。 因此，我对 $TSM 及相关半导体或 AI 基础设施建设 $NBIS 感到放心。
原推 ↗英文原文
Not really. China won’t invade Taiwan under Trump administration or others since $TSM is one of the largest national security risks to United States. There’s a reason US doesn’t have universal healthcare and any country that might invade would find out why + get flattened to the ground. Hence why I’m comfortable with $TSM and related semis or AI buildout $NBIS
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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。
原推 ↗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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提及比特币、Robinhood及台积电代码
@_visionarius $BTC, $HOOD, $TSM
原推 ↗英文原文
@_visionarius $BTC, $HOOD, $TSM
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警示短期期权风险，看好AMZN隐含波动率回归潜力。
这就是为什么人们不应该做短期期权！（我看到很多WSB帖子讨论$TSM的周权，为了财报）。方向是对的，但像这样的随机事件会抹平看涨期权。不过，我认为$AMZN看起来最具吸引力，主要是因为隐含波动率（IV）回归的潜力，我们看看市场能否保持开放。
原推 ↗英文原文
This is why people shouldn’t do short term options! (I saw a lot of WSB posts about $TSM weeklies for earnings). It’s correct directionally but random events like this happen to wipe out calls. But yeah I think $AMZN looks the most tempting just cause of IV return potential, we’ll see what holds market open.
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降息在即，建议利用回调做多NBIS、TSM等高确信度AI及科技股。
距离降息还有12天（概率94.1%）。做市商(MMs)喜欢利用这样的时机清洗期权链(option chain)。 就我个人关注的杠杆交易(leveraged trades)关键价位而言： $NBIS - $105-$110 $TSM - $170-$175 $BTC - ~<$100K $RKLB - $35-$40 $ALAB - $100-$120 _ 特别点名亚马逊，尽管市场反弹，其年初至今(YTD)仍下跌4.6%。 $AMZN - $200-$210（现在$211买入看涨期权(calls)极佳，让我想起$GOOGL在史诗级反弹前的$145。基本上现在看起来不错，但像Google一样，它跌破了人们预期的水平，所以甚至可能触及$200） 我对高确信度(high conviction)标的使用保证金+期权没问题，这只是我个人的风险承受能力，非财务建议(NFA)。 现在是做多高确信度标的的最佳时机。
原推 ↗英文原文
We are 12 days away from a rate cut (94.1% odds). MMs enjoy times like these to cleanse the option chain. In terms of levels I’m personally looking out for larger sized leveraged trades: $NBIS - $105-$110 $TSM - $170-$175 $BTC - ~<$100K $RKlB - $35-$40 $ALAB - $100-$120 _ Special shoutout to Amazon, which is down 4.6% YTD despite the rally. $AMZN - $200-$210 ($211 is extremely good now for calls, reminds me of $GOOGL at $145 before the epic rally. Basically around now seems good, but like Google it dropped below levels people expected so might even touch $200) I’m fine with margin + options on higher conviction stuff, this is just my personal risk tolerance, NFA. These times are the best to go long on high conviction.
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建议无视噪音，关注基本面，利用散户恐慌期积累AI算力龙头筹码。
谢谢，只是目前 Mag7 对 AI 算力（数据中心、电力）的需求出现了绝对激增，而许多此类公司的机构持股比例极低（例如 $NBIS 为 38%，而通常理想区间为 60-75%）。散户可能因错误原因（例如看到 $AMSL 建厂放缓就抛售，尽管 AMSL 正在扩建晶圆厂，却无视 $TSM 今日公布的远期营收/利润率激增）或受特定地区银行冲击影响，将 $MSFT 或 $GOOGL 的未来基础设施资产恐慌性抛售给机构。如果普通人不理解宏观，这类噪音有助于对冲基金在不大幅推高价格的情况下积累筹码。最好关注基本面+增长是否完好（确实完好，且我们此前低估了需求），并忽略如 ORCL 新闻或短期宏观冲击等看空报道。
原推 ↗英文原文
Thanks, it's just that there's been an absolute surge in demand for AI compute (Data Centers, Power) from Mag7, and institutional ownership in a lot of these companies are extremely low (eg. $NBIS 38% when usually sweet spot is 60-75%). Retail might be panic selling-off the future infra of $MSFT or $GOOGL to institutions for wrong reasons (eg. looking at $AMSL for buildout slowdown when AMSL does fab expansions, while ignoring $TSM blowout forward revenue/margin increase literally today) or because of a shock from specific regional banks. If regular people don't understand macro, noise like this help hedge funds accumulate without moving prices much. It's better to look if fundamentals + growth are in-tact (it is, and we've underestimated demand before), and ignore hit-pieces such as the ORCL news or short term macro shocks.
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TSM超预期证明AI基建强劲，反驳仅凭ASML看衰半导体的观点。
是的，随着 $TSM 全面大幅超出盈利预期，我们已经对未来增长有了一些洞察。 我总看到 X 上的人只引用 $ASML 就声称半导体扩张正在放缓，但这完全错了。ASML 衡量的是晶圆厂(Fab)扩张周期。 人们只需看看 TSM，因为它是衡量 AI 数据中心/AI 建设最纯粹的方式，毕竟他们几乎制造所有东西 lol。 而且他们确实预测了高增长+扩大的利润率。 量子/矿产等更具投机性。有些可能会表现良好，但像 Neoclouds 这样的高远期营收/利润是最可持续的，并将在未来的财报中引发市值的大幅重估。
原推 ↗英文原文
Yeah we already got some insights into future growth with $TSM blowing out high expectations on earnings across the board. I keep seeing people on X saying semi expansion is slowing by only citing $ASML but they're completely wrong. ASML is a measurement of Fab expansion cycles. People just need to look at TSM, which is the purest way to measure AI datacenter/AI buildout because they literally make everything lol. And they literally projected high growth + expanded margins. Quantum/Minerals, etc are more speculative. Some might turn out well, but high forward rev/profit on stuff like Neoclouds are the most sustainable and will cause large re-ratings to marketcaps in future earnings reports.
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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。
原推 ↗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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TSM财报超预期，作为AI核心受益，股价看涨至450美元以上。
$TSM 财报大爆，符合预期。它们是整个 Neocloud 交易和 AI 建设的核心。 鉴于 46% 的每股收益 (EPS) 同比增长（利润率扩张）和 37% 的营收同比增长，$TSM 轻松突破 $450+。（不过由于期权流向，短期可能会有些波动） ✅ 营收 $322.7 亿（预期 $316.1 亿） ✅ EPS: $2.84（预期 $2.63） 前瞻指引： ✅ 前瞻营收：$322 亿–$334 亿（预期 $320 亿） ✅ 毛利率：59–61% 作为大盘股，增长和利润令人惊叹。
原推 ↗英文原文
$TSM blowout earnings as expected. They’re the center of the whole Neocloud trade and AI Buildout. TSM is easily going to $450+ with 46% EPS y/y (expanding margins) and 37% revenue growth y/y. (Short term might be a little volatile because of option flow though) ✅ Revenue $32.27B (Est. $31.61B) ✅ EPS: $2.84 (Est. $2.63) Guidance: ✅ Forward Rev: $32.2B–$33.4B (Est. $32.0B) ✅ Gross Margin: 59–61% Amazing growth and profit as a mega cap.
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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
原推 ↗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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调侃大豆崩盘与台积电产能的荒谬关联。
@alifarhat79 大豆和植物油的大崩盘肯定会被载入史册。抛售是合理的，因为如果美国自己生产食用油，像 $TSM 这样的台湾公司可能就无法生产足够的半导体芯片。
原推 ↗英文原文
@alifarhat79 The great Soybean and Seed Oil crash will definitely be in the history books. The selloff made sense because Taiwanese companies like $TSM probably couldn't produce enough semiconductor chips if America made their own cooking oil.
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用游戏卡组比喻构建新云AI基础设施投资组合。
🧙♂️ 召唤艾克佐迪亚，理想的“新云”卡组 艾克佐迪亚卡组： 🧩 $NBIS – 头部 🧩 $WLAC – 左臂 🧩 $IREN – 右臂 🧩 $CIFR – 左腿 🧩 $WULF – 右腿 贪婪壶配置： 🏭 $TSM ⚡ $FLNC 🏡 $GLXY 当这五张牌全部进入你的投资组合时，Sydney Sweeney 将从“新云”降临 https://t.co/dlnjgCAIxl
原推 ↗英文原文
🧙♂️ Summoning Exodia, the ideal Neocloud Deck Exodia Deck: 🧩 $NBIS – Head 🧩 $WLAC – Left Arm 🧩 $IREN – Right Arm 🧩 $CIFR – Left Leg 🧩 $WULF – Right Leg Pot of Greed Setup: 🏭 $TSM ⚡ $FLNC 🏡 $GLXY When all five are in your port, Sydney Sweeney descends from the Neocloud https://t.co/dlnjgCAIxl
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上调NBIS目标价至450美元，重申其他新云标的跑赢大盘评级。
随着泰勒·斯威夫特进入新云(NeoCloud)领域，即便GPT-5拥有10GW算力也找不到她持久的男友。 我将$NBIS的1年目标价上调至$450，并重申对其他标的的跑赢大盘(outperform)评级，原因是能源消耗无限。
原推 ↗英文原文
With Taylor Swift entering the Neocloud space, not even 10GW compute on GPT-5 can find her a lasting boyfriend. Raising my 1Y price target on $NBIS to $450 and reiterating outperform on the rest due to infinite energy consumption. $WLAC $CIFR $FLNC $IREN $TSM $AMD $BITF $WYFI $GLXY
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分析$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。
原推 ↗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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博主分享RKLB建仓与信念建立过程，并列举长期看好标的。
@paramdan42454 这是我在未来5年，或者2年时间框架内，信念最坚定的标的。 对于像 $RKLB（$16 - 我首次买入时，$28 - 我建立信念时）这样的股票。 关于 $HOOD、$TSM 的事情是随机列举的，这只是我在未来十年内最坚信的内容。
原推 ↗英文原文
@paramdan42454 It's what I have the most conviction in the next 5 years, or a 2 year time-frame. For stocks like $RKLB ($16 - When I first bought, $28 - When I developed conviction). Things from $HOOD, $TSM, are in random order, it's just what I believe in the most within the next decade.
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博主首次公开高确信度持仓列表，详解6只核心多头及1只百倍潜力股的建仓逻辑。
这是我首次发布我的高确信度持仓列表。 这是我的6只最高确信度多头持仓，以及1只新的1000%潜力“登月”标的🚀 按首次买入时间及我建立确信度的时机/原因排序。 5年持仓： $RKLB ($16 | $28) $TSM ($120 | $245) $HOOD ($11.27 | $18) $BTC ($3k | $57k) 2年持仓： $NBIS ($28 | $99) $ALAB ($55 | $95) 1000%登月标的（确信度不如其他，但我认为它最有希望实现10倍增长） $WLAC ($13 | $13) 以下是观点变化的原因： 1. $RKLB -> 自特朗普宣布成立太空军以来，我就知道太空行业正在快速增长。当时我想投资SpaceX，但没有替代选择。 所以当$RKLB在Reddit上开始流行时，我买了它。他们在小型运载火箭方面有很高的成功率，但除此之外没什么特别的。 几个月后股价达到$28左右时，他们开始开发中型有效载荷，SpaceX以3500亿美元估值完成了一轮大额融资，我开始看到RocketLab在5年或10年（当时正在开发Neutron）内市值增长的潜力，并由此建立了确信度。 2. $TSM -> 我一直知道台积电(TSMC)对半导体至关重要，但因台湾地缘政治风险而未建立大仓位。但在~$245时，美国开始了关乎国家安全的最大规模AI基础设施建设，$NVDA等公司创下历史新高。 这一切的核心是$TSM。我认为如果它是美国公司，估值将超过3万亿美元。 3. $BTC -> 我一直喜欢比特币，大学时朋友向我介绍。我曾用它支付数字商品，因为当时的PayPal不支持匿名支付，我也不喜欢向商家透露身份。 我一直喜欢比特币作为价值存储/支付手段，但当美国政府+美联储最终支持比特币作为黄金的替代品时，它变成了高确信度持仓。 我有一篇关于美国政府为何对比特币+稳定币有战略利益的长篇论文，改天再发。 4. $HOOD -> 金融基础设施已破碎。业内人尽皆知。 我喜欢Robinhood，因为我认识的散户用户都在用。作为一家金融科技公司的运营者，他们开发产品的速度（甚至与初创公司相比）令人惊叹。 从信用卡产品到银行服务，再到投资，他们确实让一切变得更好，然后直接向其庞大的用户群发布产品。 当然，与半导体/超大市值公司相比，金融科技公司的增长有上限，但如果其银行服务成功并持续创新，未来可能成为一家6000亿美元+的公司。 _ 1. $NBIS - 起初我承认自己在不看基本面情况下进行了波段交易。一切在Mag7开始与所有Neoclouds签约，特别是微软与Nebius签署170亿-190亿美元合同时发生了改变，这完全赋予了它新的重估逻辑。我开始研究基本面和他们拥有的资产，对其增长率感到震惊。 我相信它在1-2年内轻松达到$400（1000亿+市值）。 2. $ALAB - 许多Mag7公司都在Stargate + AI数据中心建设中使用它们。当然，其营收数字相对于当前市值很小，但其利润率像$NVDA一样，且同比增长100%+，这很惊人。谁知道它们能增长多高。 _ 1. $WLAC - 现在是最有趣的一个，如果我对任何小盘股/仙股有强确信度，那就是这个。Boost已经与Fluidstack合作（后者已为$GOOGL合同构建了$CIFR和$WULF，并将它们的估值提升至40-70亿）。 而在目前6亿美元IPO下，这很容易增长到[某公司]的市值。（之前已发过关于投机基本面的小论文）。因此我认为这是最可能实现1000%增长的标的。 _ 我也提到过$FLY作为潜在1000%标的，或$AMD因OpenAI 1000亿+远期收入而成为绝佳买入，但这与单纯相信公司/资产的高确信度略有不同。
原推 ↗英文原文
This is the first time I'm posting my high conviction list. These are my 6 highest conviction longs and 1 new 1000% moonshot🚀 Sorted by first bought and ~when/why I developed conviction. 5 Years: $RKLB ($16 | $28) $TSM ($120 | $245) $HOOD ($11.27 | $18) $BTC ($3k | $57k) 2 Years: $NBIS ($28 | $99) $ALAB ($55 | $95) 1000% Moonshot (don't have high conviction like the others, but I included this I currently believe this has the best chance to 10x) $WLAC ($13 | $13) Here's what changed: 1. $RKLB -> I knew Space was rapidly growing since Trump announced Space force. I wanted to invest in SpaceX at the time but there was no alternative. So I bought $RKLB when it started getting popular on Reddit. They had a high success rate with small-lift, but aside from that there wasn't anything special. Around the $28 mark a few months later, they started developing a medium-lift payload, SpaceX raised a large round at $350B, and I started seeing the potential for RocketLab to grow in that marketcap whether it's 5 years or 10 years (when they were developing Neutron) and I developed my conviction around it. 2. $TSM -> Always knew that TSMC was fundamental to semiconductors, but didn't build large positions because of Taiwan geopolitical risk. But around ~$245, America began the biggest build-out of AI infrastructure critical to national security with $NVDA and others hitting all time highs. In the center of it all, there's $TSM. I believe if it's an America company, it would be valued at $3T+. 3. $BTC -> I always liked Bitcoin, my friends introduced it to me back in college. I used it to pay for digital goods and stuff because Paypal at the time didn't have anonymous payments, and I didn't like sharing my identity to merchants. I've always liked Bitcoin as a store of value/payment, but when the US government + Fed finally supported Bitcoin as a alternative to Gold, it changed to high conviction. I have a whole really long thesis about why US Gov has a strategic interest in Bitcoin + Stablecoins but I'll post it another day. 4. $HOOD -> Financial infrastructure is broken. Everyone in the industry knows it. I liked Robinhood because all the retail users I know use it. And as someone who runs a fintech company, the speed at which they developed products (even compared to Startups), is astonishing. From credit card products, to banking, to investing, they've actually made everything better and then just ships products to their already-large userbase. Of course, there's an upper-cap in how large fintechs grow compared to semi/mega-cap, etc, but it could be a $600B+ company in the future if their banking products succeed and they continue with innovation. _ 1. $NBIS - I'm guilty of swing trading it without looking at fundamentals near the beginning. Everything changed, when Mag7 started signing deals with all the Neoclouds, and Microsoft signing a 17B-19B deal with Nebius completely gave it a new-rerating. I started looking into fundamentals, the assets they own, and I was blown away at their growth rate. I believe it could be easily be $400 (100B+ marketcap) in 1-2 years. 2. $ALAB - They're used by so many Mag7 companies for the Stargate + AI data center buildout. Of course, their revenue numbers are small compared to their current MC but their Margins are like NVDA and they're growing at 100%+ Y/Y, which is amazing. Who knows how high they'll grow. _ 1. $WLAC - Now for the fun one, if I had to have strong conviction any small cap/penny stock, it would be this. Boost already works with Fluidstack (which built $GOOGL contracts with $CIFR and $WULF already, and boosted their valuations to 4-7B). And at a $600m IPO now, this could easily grow to 's marketcap. (already made a small thesis post earlier about speculative fundamentals). Hence why I believe this is the most likely 1000% out of anything. _ I mention other things like $FLY as a potential 1000% too or $AMD as a great buy due to OpenAI 100B+ forward revenue but it's slightly different compared to having high conviction in terms of just believing in the company/asset.
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建议买入AMD，降级MU为持有，关注宏观风险。
对于像 $AMD 这样的半导体股，当其与 OpenAI 的 1000 亿美元合同开始放量时，是未来 1 年的买入时机。 有评论提到 $MU，由于相比 $TSM 等公司，$MU 在中国拥有大量的 DRAM/NAND 存储业务，因此受中国争端的影响更为实质性地类似于 $QLCM。所以我会将其降级为持有。 当然，鉴于特朗普是个变数，我不确定宏观风险会如何演变，如果紧张局势缓和，估值将会重新调整。
原推 ↗英文原文
For semis like $AMD it’s a buy for 1Y out when the 100B contract with OpenAI starts ramping up. Some other comment mentioned $MU, they’re more materially affected like $QLCM is to China disputes bc of large dram/nand for memory over there compared to something like $TSM. So would dg it to hold. Of course I’m not sure how macro risk will play out with Trump being a wild card and all, if tensions ease up things would be re-rated
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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。
原推 ↗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 $3k and I've lost track of how many times this has happened in history. BMNR - Tied with ETH fundamentally. PL - Space stocks have gone up a lot, I think with stuff like RGTI and others, fundamentals haven't mirrored it's marketcap. BKSY - Space stocks have gone up a lot, I think with stuff like RGTI and others, fundamentals haven't mirrored it's marketcap. Strong Sell RGTI - market cap extremely disconnected from valuation OKLO - market cap extremely disconnected from valuation IONQ - market cap disconnected from valuation QBTS - market cap disconnected from valuation -market cap disconnected from valuation There's obviously a macro overhead with China x USA trade wars going on, but none of this was new information (Chinese rare earth export controls have been known for awhile + US has already been tarrifing Chinese goods) We're heading into 2x more rate cuts priced in at 70% and large corrections to cleanse the overvalued froth and liquidate margins (eg. Crypto), will help the market go to higher highs. I will always recommend shares because with good companies, if you wait long enough they will likely outperform (but short term underperform if there's random macro risk). Mid term I'm the most bullish on Neoclouds for the next year during the rapid AI buildout -> Robotics/Space likely next frontier after that.
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分析$FLY与诺斯罗普合作开发中型火箭的潜力，认为其风险回报优于$RKLB。
自从我在 Reddit 发帖后，很多人询问我的 $FLY 投资论点，现在分享如下： 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。 目前唯一存在的竞争对手是 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，较当前（44 亿美元市值）增长 1000-2000%。 更多细节： 300-700 亿美元的市值估算基于 $RKLB 的估值倍数，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 亿美元的订单积压）。 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%。猎鹰系列火箭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 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风险。看空者指出 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 亿美元的发射公司之间的联合开发 (Co-development)。 诺斯罗普此前曾拥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 年入侵乌克兰之前运行正常，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。 现在你拥有一枚在 2026-2027 年可由 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火箭），这已通过 TacRS 和超过 10 亿美元的订单积压以及美国“金穹”防御系统催化剂得到验证。 因此，购买 Firefly 的风险回报比是合理的，前提是公司在中型运载火箭上成功并建立巨大的护城河，成为下一个 SpaceX。 （我的投资组合中也有 $RKLB，但我认为由于中型运载火箭已与诺斯罗普合作存在，成功实现可重复使用中型运载火箭的机会高于正常水平。） 显然，Rocket Lab 实现可重复使用中型运载火箭的成功概率更高，但这已经反映在其 320 亿美元以上的市值中，相比之下 Fly 的市值仅为 44 亿美元。 我认为 $FLY 在当前估值下是一个有趣的 10 倍潜力股，前提是它能在未来一两年内成功。另外，我只是真的很喜欢火箭。 我还让 Grok 计算了概率，因为 XAI 由火箭人 (Rocketman) 本人拥有。 输出： 到 2027 年底，Rocket Lab 有 90% 以上的机会实现可重复使用中型运载火箭飞行（可能在 2026 年中），得益于其先发优势、经过验证的执行力和内部控制。 Firefly/诺斯罗普达到 75-80% 的概率，得益于诺斯罗普的遗产，但受限于 Firefly 较新的运营记录。额外的一年缩小了差距——如果 Antares 330 按时飞行且 Miranda 发动机规模化，Firefly 可能在 2027 年底匹配或超过 Neutron 的节奏。 如果两者都成功（这是一个巨大的假设），RKLB 的市值可能重估至 600 亿美元，$FLY 可能重估至 400 亿美元，只是因为太空 TAM（总可寻址市场）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。
原推 ↗英文原文
People have been asking for my $FLY thesis since my Reddit post, so here it is: Firefly is a rocket company like $RKLB, and is developing a reusable medium-lift rocket. The only one that exists is SpaceX. They target 2026-2027, and if they succeed, the company would re-rate to a 30-70B market cap, 1000-2000% from here (4.4B MC) More details: The 30-70B marketcap estimate is priced off $RKLB multiples, and only on medium-lift working. (I'm ignoring other business segments and current $1B+ revenue backlog). In a year with medium-lift: ~$0.9–1.3B revenue, with 30–40% gross margins at workable cadence (8–12 flights). Falcon-class pricing support this. So now the only question is, can FLY make it work? After Fly's individual company latest launch failure, the stock dropped 50% and the market is already pricing in the feature of failure. The bears are pointing to Alpha's failures for execution risk. HOWEVER, they're pricing the risk in completely wrong... The question they should be asking is, whether both Northrop + Firefly can make this work? This is a CO-DEVELOPMENT between Northrop, one of America's largest military contractors for Aerospace with some tiny $4B marketcap launch company. Northrop literally had its own medium-lift rocket before but they had to sunset it. Northrop’s prior launcher, Antares 230 worked before Russia’s 2022 invasion of Ukraine, then the supply chain was cut off. However, Northrop faced an existential problem: it couldn’t build its own first stage anymore. So they went looking for a U.S. partner with ready-made propulsion and structures for the sake of time: Firefly. -> Motivation: Firefly’s Miranda engines offered a plug-and-play replacement to immediately build a medium lift launcher. And now you have a medium lift launcher in 2026-2027 that Firefly monetizes (because Northrop took a stake in the company), just need to make it re-usable, which is the hard part. But Northrop doesn’t just “help.” It structurally lowers risk across every aspect across the board. And Northrop’s system + Firefly’s new-space engines hits a scarce, high-demand moat (U.S. medium-lift with reuse), already validated by TacRS and a $1B+ backlog + US golden dome defense system catalyst. So, risk reward of buying Firefly on the company succeeding on Medium-Lift Launcher and developing a huge moat to be the next SpaceX, is decent. (I also have $RKLB in my portfolio too, I just see the opportunity of succeeding in reusable Medium Lift to be higher than normal because it medium-lift already existed with Northrop). Obviously Rocketlab has a higher probability of success achieving reusable medium lift, but that's already priced into its 32B+ marketcap, compared to a 4.4B Fly marketcap. I just find $FLY to be an interesting 10x moonshot at this valuation in the chance it works in the next year or two. Also I just really like rockets. I also had Grok calculate the odds since XAI is owned by Rocketman himself. _ Output: By end-2027, Rocket Lab has a 90%+ chance of achieving reusable medium-lift flights (likely by mid-2026), driven by their head start, proven execution, and in-house control. Firefly/Northrop reaches 75–80% probability, bolstered by Northrop’s legacy but tempered by Firefly’s newer operational track record. The extra year narrows the gap—Firefly could match or exceed Neutron’s cadence by late 2027 if Antares 330 flies on time and Miranda engines scale. In the event they both get it to work (big if), RKLB could re-rate to $60B marketcap, and $FLY could re-rate to 40B marketcap, just because of TAM of Space rapidly increasing from national security risks and corporate sector buildout, just might need to wait another year.
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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。
原推 ↗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）
原推 ↗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。
原推 ↗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 $MU, etc. that followers recommended. I try not to talk about something much until I'm informed myself. - If you're on leverage or going long, now is the time to do it until January. 3x rate cut, market probably frontrunning Oct rate cut now.
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交易对英伟达系利空，对AMD等供应链其他环节利好。
@yield_addicted 关于这笔交易，我认为总体偏负面：$NVDA、$CRWV（以英伟达为中心）。 总体偏正面（几乎其他所有标的）：$AMD、NBIS、CIFR、IREN、TSM 等。 护城河叙事逻辑发生变化，导致下跌 2.5% 是合理的。
原推 ↗英文原文
@yield_addicted For the deal, I'd say net negative: $NVDA, $CRWV (Nvda centric) Net positive (almost everything else): $AMD, NBIS, CIFR, IREN, TSM, etc. The 2.5% drop makes sense off moat narrative changes.
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RKLB具国家安全战略价值，因发射成功可能暴涨故不卖看涨期权。
@Neat_Lama 最大的催化剂是中程有效载荷的“中子”(Neutron)火箭。对于 $RKLB，我确实不太关心宏观经济，因为我坚信它对国家安全的重要性就像 $TSM 对台湾一样重要，加上太空领域 = 规模巨大。这就是为什么我不对 RKLB 卖出看涨期权(CC)，因为成功的发射新闻可能会让它上涨50% lol。
原推 ↗英文原文
@Neat_Lama biggest catalyst is medium lift payload neutron. don't really care about macro with $RKLB since I believe it's important to national security like $TSM is to Taiwan + Space = grow big. that's why i dont sell CC's on RKLB cause successful launch news could bring it up 50% lol.
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博主分享6只个股的短期交易策略，强调经验直觉胜过耐心口号。
最近 X 上流传着很多鼓舞人心的交易者心态，比如： “会有回报的。要有耐心。”全是废话。 交易者会考虑板块动量、催化剂、估值、回调、宏观、隐含波动率(IV)、期权流向等。 以下是我对各种股票短期交易的心态： 1. $NBIS - $111.91，尽管当天上涨了 1.53%，但由于 Meta 给予其 140 亿美元合同，CRWV 上涨了 12%。 这通常对所有新云厂商都是利好。它曾飙升至 $117（我可能仍会持有），但随后回落至 $111，可能是由于未平仓合约过多，但我们可能会继续看到上涨行情。因此我会利用这段时间进行定投(DCA)并买入看涨期权/股票，即使它已经上涨了 1.53%。 这不是“真正的下跌”，更像是上涨过程中的回调。 2. $HIMS - $56.4 下跌 4.67%，通常人们只是盲目抄底，但这实际上是由重大因素引起的，即特朗普推出了面向消费者的政府药品网站。随着股价升至 $60，空头比率降至 33%。 这次下跌可能会被用于空头回补。我在 $46 支撑位买入，但在反弹后不久卖出，因为我感觉它还会进一步下跌。但我个人更喜欢底部入场点，所以可能更接近 $50。 我记得 AMZN 推出竞争对手时，HIMS 暴跌 20% 然后再次上涨，我预计特朗普的计划中期也会如此，但近期它是一个逆风因素。 3. $RDDT - $228，下跌 5.45%，没有新闻。可能只是估值担忧。我们看到类似的增长股如 ALAB、CRED 有随机的 20% 回调。许多软件/社交股票如 SNAP 因非重大新闻下跌 8.1%。修正很健康，股票不会一直上涨，我个人更倾向于等待再次回到 $100+，而不是 $200+，但鉴于 RDDT 在随机日子有更大的 5-8% 回调，根据历史经验，6-7% 的下跌是日内的好买点，你可能会看到它恢复，但我们可能会看到许多增长股在 11/12 月的大涨前经历更大的修正，所以可能不是真正的底部。 我现在不看图表 RSI，只是基于过去一两年每天观察股票 + IV 的经验感觉来做。 4. AMZN - 没有重大宏观新闻，可能是 10 月 1 日的政府停摆可能会引起指数恐慌，但这没什么大不了的。它下跌了 1.35%，所以我会买入，因为这是摊低成本的好时机。 5. Klarna - $36，下跌 5.3%。有时你只是凭直觉行事。低于 IPO 价格，没有重大新闻。大多数 IPO 都下跌了，比如 Gemini 等。如果你想建立长期头寸，我会在这个水平买入。 6. TSM - $277，我有罪地进行了 $273-$279 之间的波段交易，所以我每次跌至 $273 就买入，在 $277-$279 卖出以获取 2% 的纯股票利润。到目前为止，我用股票做了大约 2 次。如果跌破 $273，我就定投，如果进一步下跌就切换到看涨期权。 没有绝对的对错方式，每个人都有自己的方法。（另外抱歉 CRM，糟糕的财报搞错了那个，如果进一步下跌我可能会摊平成本）。 但一般来说，这只是我浏览每只股票清单时的想法。再次强调，每个人想法不同，我只是想写下我的思考过程，如果对他有帮助的话。
原推 ↗英文原文
Lot of inspirational trader mindsets going around X lately like: "It will pay off. Be Patient". All BS. Traders consider sector momentum, catalysts, valuation, pullbacks, macro, IV, option flows, etc. Here's my mindset for short term trading for various stocks: 1. $NBIS - $111.91, even though it's up 1.53% on the day, CRWV is up 12% off Meta gives them a $14B contract. So usually it's bullish for all neoclouds. It spiked to $117 ( i probably would have still held) but pulled back to $111 likely from too much open interest, but we'll likely keep seeing a rally upward. So I'd use this time to DCA and buy calls/shares even if it's up 1.53% Not "truly a dip" but it's more of a dip during a rally. 2. $HIMS - $56.4 Down 4.67%, usually people just blindly buy the dip but this was actually caused from something material, which was Trump launching a direct to consumer GOV drug website. Short interest decreased back to 33% on the rise to $60. This dip will likely be used for short covering. I did buy $46 support but sold shortly on a bounce after I just felt like it would go down more. But I just personally prefer bottom entry points so that's probably closer to $50. I still remember AMZN launching a competitor, HIMS crashed 20% then rose again, I'd expect the same with Trump's program mid term but near term it's a headwind. 3. $RDDT - $228, down 5.45%, no news. Just probably valuation concerns. We saw similar growth stocks like ALAB, CRED, have random 20% pullbacks. Lot of software/social stocks like SNAP down 8.1% off non-material news. Correction is healthy, stocks don't just keep going up, I'd prefer to wait in the $100+ again, rather than $200+ (just personally), but it's actually a better buy than the rest, given RDDT has larger 5-8% pullbacks on random days, just from historical experiences so 6-7% drop is a good buy intra-day and you'd likely see it recover but we might see a lot of growth stocks have a larger correction into massive rally Nov/Dec so might not be an actual bottom. I don't really look at chart RSI nowadays, just do this based on feelings from experience looking at the stock + IV every day for the past year or two. 4. AMZN - No major macro news, prob government shutdown Oct 1st that might cause some panic for index but it's pretty immaterial. It dropped, 1.35% so I'd buy since it' a good time to cost average. 5. Klarna - $36, 5.3% drop. Sometimes you just go off gut feeling. Below IPO price, no major news. Most IPOs were down like Gemini, etc. If you wanted to build a long term position I'd buy at this level. 6. TSM - $277, I've been guilty of swing trading between $273-$279, so I just buy every drop to $273 and sell at $277-$279 for 2% profit purely with shares. So far I've done this ~2 times with shares. If it drops past $273, I'd just DCA and then if it drops further switch to calls. There's no True or False way to do this, everyone kind of has their own approach. (also sorry about CRM, bad earnings got that one wrong, I'll probably cost avg if ti declines further). But generally this is just what I'm thinking about when I go down the list of every single stock. Once again, everyone thinks differently, I just wanted to write down how I think if it's helpful to others.
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对比博通与台积电，认为台积电作为底层基础更值得投资。
@turnandburn07 $AVGO 在定制超大规模客户专用集成电路(ASIC)领域复刻了英伟达(NVDA)凭借GPU的崛起轨迹。在高位买入总是很难，但有时股价会持续上涨。无论如何，$TSM 是英伟达、博通(AVGO)等公司的基础，所以我更喜欢这只股票，我可能会选择买入TSM而不是AVGO。
原推 ↗英文原文
@turnandburn07 $AVGO mirrors nvda's ascent with GPUs but for custom hyperscaler ASICs. It's always hard to buy things at the top, but sometimes they keep going up. Either way, $TSM serves as the foundation for NVDA, AVGO, etc, so I like the stock the best and I'd prob buy TSM over AVGO
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博主发布周一收盘观点，列出多只美股的买卖评级及具体逻辑。
周一收盘思考： 极强买入 $NBIS $ETOR $LTC $VIRT 买入 $AMZN $SMCI $TGT $CRM $TSM $CRDO $SG $CIFR $LULU $SLNH $ORCL $MSTR $RIOT $MARA 持有 $IREN $HIMS $RKLB $PYPL $MRVL $IBIT $UPWK $GRAB $ALAB $ASTS $SOFI $NVDA $NVO 卖出 $HOOD $TSLA $RDDT $CRCL $PLTR $BMNR 强烈卖出 $OKLO $QBTS $IONQ _ 欢迎持不同意见，但这只是我的个人看法。 极强买入理由 - 买入约7万美元的Virtu看涨期权，隐含波动率28%，远期市盈率仅6.6倍，被低估。 - 在通往200美元的路上，每次回调都定投NBIS。 - ETOR在39美元时严重被低估。我不明白它怎么跌到那的。如果我没记错，市值33亿，现金储备超7亿，复利增长类似IBKR而非HOOD/BULL，但股价却直线跌破IPO价。 - LTC ETF批准在即（3-4天内），概率95%。除非被拒，现在是绝佳买点。 买入理由 - 今天买入5万美元以上Amazon看涨期权，回调至219美元以上后复苏前景看好。受益于10月至1月的年底季节性效应。10月8日Prime Day。可能再次回调，因此适合定投而非极强买入。 - SMCI仍预测55%的远期营收增长，季度营收超50亿，有点被低估。 - TGT下个月分红。有些Target事件，但我觉得不如Amazon Prime Day重要。 - CRM图表上看刚触底，基本面没太大变化。 - TSM在273美元更好，虽然总是好买点，但不像250美元以下那样极具吸引力。 - CRDO/ALAB，两者大幅回调。更像是修正而非崩盘，因此再次成为不错的买点。 - SG，不知道。我只是喜欢他们的沙拉，考虑到不久前交易价40美元，8美元的风险回报比不错。 - CIFR，GOOGL背书，现在看执行。我会逢低买入，但今天大涨了。 - LULU受益于10月至1月的年底季节性假日购物。 - SLNH，据说X上有关于波浪的讨论。市值很小约1亿美元，风险回报比似乎可以。 - ORCL，以140亿美元折扣估值持有TikTok美国大量股份，且来自OpenAI/MSFT的远期营收众多。就像AVGO一样，财报后可能回调，然后一两个月后迎来猛烈反弹。 - MSTR，比特币10月表现良好。被做空，所以溢价率可能在1.4x-1.5x，相比炒作时的2x。 - RIOT/MARA转向HPC，所以我比之前更喜欢它们。 持有股票没什么变化 - Hood，我个人做日内交易，所以如果我认为在单日上涨12.27%的130美元以上卖出是好的，别介意。 - TSLA，脱离基本面的信仰股。 - RDDT，我在100美元时持有大量，现在240美元或450亿市值不会买，所以可能会卖出/三角套利。 - CRCL，直接买Coinbase。 - PLTR，脱离基本面的信仰股，大部分利润只是利息收入。 - BMNR，如果你想买就买ETH，但ETH在4000美元以上也是强烈卖出。 强烈卖出 任何营收极少但市值100-200亿以上的股票我觉得很可笑。如果你从8美元持有OKLO到116美元，向你致敬。
原推 ↗英文原文
Monday Market Close Thoughts: Extremely Strong Buy $NBIS $ETOR $LTC $VIRT Buy $AMZN $SMCI $TGT $CRM $TSM $CRDO $SG $CIFR $LULU $SLNH $ORCL $MSTR $RIOT $MARA Hold $IREN $HIMS $RKLB $PYPL $MRVL $IBIT $UPWK $GRAB $ALAB $ASTS $SOFI $NVDA $NVO Sell $HOOD $TSLA $RDDT $CRCL $PLTR $BMNR Strong Sell $OKLO $QBTS $IONQ _ Feel free to disagree but these are just my thoughts Strong Buy Explanations - Bought ~$70K of Virtu calls, 28% IV and just 6.6 forward p/e is undervalued. - Always DCA NBIS on the road to $200 on every dip. -ETOR is just way too undervalued at $39 imo. I don't even know how it hit that. If I remember correctly $700M+ cash pile on a 3.3B market cap, compounding similar rate to IBKR instead of HOOD/BULL but just straight line down below IPO price. - LTC ETF approval in 3-4 days with 95% odds. Great buy now unless it gets rejected ofc. Buy Explanations - Bought $50k+ Amazon calls today, looks more promising for recovery on the dip to $219+. Benefits from end of year seasonality from Oct - > Jan. Prime Day Oct 8th. Could dip again which is why it's good to DCA and not an extremely strong buy. - SMCI still projecting 55% forward revenue growth and it's kinda undervalued doing 5B+ quarterly revenue lol - TGT dividend in another month. There's some Target event but don't really think it matters as much as Amazon prime day. - CRM just bottoming chart wise, fundamentals not really changed - TSM better at $273, it's always a good buy but not a screaming buy like sub $250 - CRDO/ALAB, both dipped a lot. More of a correction rather than crash, which is why it's a decent buy agian. - SG, idk. I just like their salad and think risk reward at $8 is good considering they were trading $40 not too long ago. - CIFR, GOOGL backstopped now just execution. I'd buy on dips but today was a big rally - LULU benefits from Oct -> Jan end of year seasonality with holiday shopping. - SLNH, apparently waves have been going around X. Pretty small $100m marketcap or so, risk reward seems okay. - ORCL, they're a large shareholder of TikTok US at a discounted 14B valuation and have tons of forward rev from OpenAI/MSFT. It's one of those things where it probably dips after earnings like AVGO then pulls off a face ripping rally a month or two later. - MSTR, Bitcoin does well in Oct. Been shorted so Nav prem is probably around 1.4x-1.5x compared to 2x like during hype waves -RIOT/MARA pivoted to HPC so I like them more than before For hold stocks nothing really changed - Hood, I personally day trade so don't be offended if I think it's a good sell $130+ on a 12.27% increase day. - TSLA, cult stock detached from fundamentals - RDDT, I had a lot back at $100 wouldn't buy at $240 or 45B marketcap now so would probably sell/tri. - CRCL, just buy Coinbase instead - PLTR, cult stock detached from fundamentals, large part of their profit is just interest income - BMNR, just buy ETH if you want but ETH is a strong sell at $4k+ Strong Sell Anything carrying barely any rev with 10-20B+ marketcap I think is amusing . Props to you if you held OKLO from $8 to $116 though.
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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。
原推 ↗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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博主区分成长与价值投资，推荐不同周期的个股组合。
@DeepIceValue 哈哈，我看到了 $NVO 和 $UNH，然后看了你的主页，意识到你更偏向价值投资(Value Investing)。如果让我选，1-2 年周期我会选 $NBIS 或 $TSM。3 年周期我会选 $RKLB。价值投资组合(Value Investing Basket)会是：$TGT, $UPWK, $PYPL, $LULU, $UNH, $NVO。
原推 ↗英文原文
@DeepIceValue lol I saw NVO and UNH and then looked at your profile and realized it was more so value investing. If I had to choose, would be $NBIS or $TSM 1-2 years. Then $RKLB for a 3 year timeframe. Value investing basket would be: $TGT, $UPWK, $PYPL, $LULU, $UNH, $NVO
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解析超大规模云厂商资本支出向NeoClouds转移的逻辑，看好NBIS等标的的高回报潜力。
NeoCloud 论点：超大规模云厂商资本支出漏斗 为什么我要投入 150 万美元以上到 NeoClouds（新型云服务商），以及为什么这可能带来 200-300%+ 的回报。 🔹 分类 Mag7（美股七巨头）合约方：$CRWV, $NBIS ✅, $WULF, $CIFR ✅ 带算力：$IREN ✅, $BITF 投机性：$WYFI, $GRRR ✅, $SLNH 转向 HPC（高性能计算）的矿工：$RIOT, $MARA, $CLSK, $HUT 论点： Mag7 的 AI 算力紧张，这是 $NVDA 设计使然。 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，当它们无法处理来自 Anthropic、OpenAI、Gemini 等的新 AI 负载时，现在将漏斗式流入 NeoClouds。 这是一个十年一遇的机会，类似于让 $NVDA 成为 4 万亿美元公司的 GPU 军备竞赛，关键在于未来 5-10 年为 AWS/Azure 等提供基础设施支持的是谁。 NBIS（来自 MSFT 的 170 亿）、CIFR / WULF（来自 GOOGL 的 30 亿）、CRWV（由 NVDA 背书）都在以数百百分比的速度扩张（NBIS 季度收入从 1.5 亿增长到可能超过 15 亿），且拥有 60-80% 的毛利率。 这种收入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云厂商将资本支出漏斗式注入这些小公司。 NVDA / TSM（2022->）：为超大规模云厂商提供 GPU CRDO / ALAB（2024 ->）：超大规模云厂商获胜 -> 抛物线式增长。 NBIS/CIFR/IREN 等（2025 - ）AWS/Azure 等 -> 来自 AI 算力的抛物线式增长 这就是如何获得数百百分比回报的方法，而不是在 Paypal 上进行价值投资。动量交易下一代公司。 所以看空论点通常涉及 - 执行风险（以前更偏向投机，现在像 NBIS 这样的公司有 40 多亿资金来执行） 人们总是担心执行问题，但如果微软或谷歌没有做自己的尽职调查，是不会签署如此大的 5-10 年合约的。 - 高利率（主要看你 CRWV），这就是为什么 NBIS、CIFR 等具有惊人的回报潜力。 $NBIS 在每股 138 美元以上时有 40 多亿资金（现在是 107 美元）。$CIFR 在每股 16 美元以上时有资金（现在是 11 美元）。高于当前价格的资金是一个看涨信号。 - GPU 折旧（有效的担忧，但这几乎像石油一样，即使是旧型号也保持了价值并仍然提供权益）。 - 估值（我认为我们才刚刚开始。如果 NBIS 明年规模达到 60 亿收入，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。 - 定制超大规模云厂商芯片如 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 年合约。 无论如何，像 Nebius 这样的 NeoClouds 相对于远期收入/毛利率确实被低估了。 我们仍然处于非常早期的阶段。确保像特朗普选举时的 Crypto/TSLA 或 OpenAI 发布时的 NVDA 一样搭乘 NeoCloud 浪潮。 当然，这高度投机，我不会建议全仓 YOLO，但对于这些为 Google/MSFT 等（Mag7 的现金牛）提供 AI 工作负载的小型 5-200 亿 NeoClouds，风险与回报是值得的。（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。
原推 ↗英文原文
The NeoCloud Thesis: Hyperscaler Capex Funnel Why I'm putting $1.5M+ into Neoclouds, and why this might be a 200-300%+ return. 🔹 Buckets Mag7 contracts: $CRWV, $NBIS ✅, $WULF, $CIFR ✅ With compute: $IREN ✅, $BITF Speculative: $WYFI, $GRRR ✅, $SLNH Miners pivoting to HPC: $RIOT, $MARA, $CLSK, $HUT Thesis: Mag7 is AI compute strained, by design from $NVDA. Trillions of capex that normally flowed through AWS, MSFT Azure, Google Cloud for traditional compute, will now funnel into NeoClouds when they cant handle new AI loads from Anthropic, OpenAI, Gemini, etc. This is a once-a-decade opportunity, similar to the GPU arms race that made $NVDA a $4T company, on who powers the infra for AWS/Azure/etc for the next 5-10 years. NBIS (17B from MSFT), CIFR / WULF (3B from GOOGL), CRWV (backstopped by NVDA) are all scaling hundreds of percent (NBIS went from 150M quarterly revenue to likely 1.5B+) with 60-80% gross profit margins. This revenue growth is almost unheard in history. It's mainly because it's the wealthiest hyperscalers funneling capex into tiny companies. NVDA / TSM (2022->): GPU for hyperscalers CRDO / ALAB (2024 ->): hyperscaler wins -> parabolic growth. NBIS/CIFR/IREN/etc (2025 - ) AWS/Azure/etc. -> parabolic growth from AI compute This is how you get hundreds of % in return, not value investing in Paypal. Momentum riding the next generational companies. So bear thesis usually involves around - Execution Risk (before it was more speculative, now companies like NBIS have 4B+ to execute) People can always worry about execution but Microsoft or Google would not be signing such large 5-10 year contracts without their own DD. - Large interest rates (mainly looking at you CRWV), that's why NBIS, CIFR, and others have potential amazing returns. You have 4B+ in funding for $NBIS at $138+ a share (when it's $107 now). And funding for $CIFR at $16+ a share when it's $11 now. ABOVE current price funding is a bullish tell. - GPU depreciation (valid concern but it's almost like oil, even older models kept their value and still deliver equity). - Valuation (I still think we're just getting started. If NBIS scales to 6B rev next year 75% gross margin), 26B marketcap is extremely tiny. - NVDA potentially launching their own GPU-as-a-service and directly competing. Right now these Neoclouds are NVDA's answer to preventing concentration risk to Azure/AWS/etc. - Custom hyperscaler chips like TPU, Trainium. But likely years away, since they're still begging for NVDA compute and signed 5Y-10Y contracts. Regardless these neoclouds like Nebius are really undervalued relative to forward revenue/gross margins. We're still very early. Make sure to ride the Neocloud wave like Crypto/TSLA with Trump election or NVDA with OpenAI release. Of course this is highly speculative and I wouldn't YOLO full port calls, but Risk vs. Reward on these little 5-20B neoclouds powering AI workloads for Google/MSFT/etc, the cash cows of Mag7, is worth it. (Trade time Horizon: 8m - 1 year.) This is the single best asymmetric AI infrastructure trade for 2025-2026.
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对比PayPal与GOOGL、TSM的隐含波动率，质疑其期权溢价性价比。
@DeepValueBagger @PaperBozz @FrostyFinances 隐含波动率(Implied Volatility)为38%，对于像PayPal这样的标的来说处于较高水平，所以我不确定溢价是否真的便宜。例如，当我交易$GOOGL看涨期权时，隐含波动率为28%，或者$TSM为32%。
原推 ↗英文原文
@DeepValueBagger @PaperBozz @FrostyFinances IV is 38% which is on the higher end for something like PayPal though so not sure about premium being cheap. When I did $GOOGL calls they were 28% for example or $TSM was 32%.
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作者打破只买正股规则，在特定黑天鹅或底部信号下转向期权策略。
我在这里打破了自己关于只买正股而非看涨期权(call)的经验法则——32%的隐含波动率(IV)股票，但通常如果发生黑天鹅事件导致无关紧要的下跌，例如 $IREN 因摩根大通(JPM)糟糕的目标价下跌14%。或者 $CIFR 下跌17%后仅因 $GOOGL 的支撑而下跌5%，这时我会转向看涨期权。通常如果我认为触底了，或者认为像 $TSM $AMZN 这样的股票会在几个月内上涨，且我在定投(DCA)，且IV没有偏离32%太多且不至于糟糕，我会考虑使用期权。当然也有例外，比如 $IBIT 高IV时跳入周度备兑看涨期权(covered calls)，但那是另一种策略。不过，抄底时机极难把握。
原推 ↗英文原文
I broke my own rule of thumb here about shares only vs. call -> 32% IV stock but usually if something black swans off something immaterial eg. $IREN 14% drop off JPM bs price target. Or $CIFR 17% drop into 5% drop off $GOOGL backstopping it, then I switch to calls. Usually if I think it's a bottom or if I think a stock would go up like $TSM $AMZN over a few months and I'm DCA and IV isn't way off 32% and horrendous I'd consider it. There's exceptions obviously like $IBIT with higher IV leaps into weekly covered calls but that's another strategy. Bottom timing is extremely hard though
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分享期权卖方策略经验：选对券商、小户用保证金、精通IV与财报风险。
补充一下关于学习期权卖方策略的讨论： 1. 券商选择极其重要，大资金账户切勿使用 $HOOD。他们声称免费，但可能是期权交易中最差的券商，因为他们将订单路由给做市商(MMs)，并通过糟糕的成交执行来赚取你的钱。除非你在Mag7或SPY上卖出低点差的现金担保看涨期权(Cash-Secured Calls, CCs)或现金担保看跌期权(Cash-Secured Puts, CSPs)，否则请使用 $IBKR 进行订单执行，即使你以最低价格卖出，他们也能提供最好的成交。看似损失几美元，但每份合约0.2-0.4美元的执行差异能带来数千美元的差别。 2. 如果是小账户，我建议用保证金(Margin)代替2倍杠杆ETF，因为后者存在波动率衰减(Volatility Decay)。（你可以谷歌搜索为什么不要长期持有2倍杠杆ETF）。使用保证金有清算风险，但仍优于杠杆ETF。帖子中应该已经提到过这一点。 3. 学习股票的隐含波动率(Implied Volatility, IV)。例如，$HOOD 通常每天波动不超过4-6%。$NBIS 通常每天波动不超过7%。$TSM 很少出现单日4%以上的波动。如果你在 $NBIS 上卖出4天到期的CCs，例如6*4，卖出约$130的24%+虚值(Out-of-The-Money, OTM)期权（当前股价$107）通常是明智且盈利的。如果你卖出约$110的CCs，你是在要求股票被行权(Call Away)，这通常是你试图卖出股票时的策略。了解催化剂(Catalysts)也很重要。如果有财报(Earnings)发布，原始IV不再适用，因为股价可能大幅波动。财报期间的CCs策略完全不同。 4. CSP策略很好。如果你想用小账户大量操作，使用IBKR的投资组合保证金(Portfolio Margin)，这样你可以在很多股票上卖出大量深度虚值的看跌期权(Puts)。最大风险是你不知道自己在做什么，或者出现像今年早些时候全球突然加征20%关税导致市场崩盘这样的黑天鹅事件。我是从大量经验的角度说的，但新手可能会亏很多钱。IV规则同样适用。如果 $AMZN 通常每周波动+-5%，你可以卖出7% OTM的看跌期权，很可能每周获利。财报策略又是另一回事。解释起来很花时间，但也极其盈利。很多人持有$1M+资金，通过“更安全”的CSP或定投(DCA)每周被动赚取$10k。每季度财报周能赚大钱，除非股票像 $TTD 那样暴跌40%。但总体而言，如果你想复利增长财富+现有资产，学习这些很重要。 期权卖方策略是极佳的“房地产”（指卖出CCs或极深度虚值看跌期权），前提是你懂行且操作于 $IIBIT、$HOOD 等正规资产。否则风险巨大。总体上是给交易者很好的建议。只是我基于个人经验的一些想法和细微差别。
原推 ↗英文原文
So just to add to the discussion on learning option selling: 1. BROKERAGE IS EXTREMELY IMPORTANT, NEVER USE $HOOD IF YOU HAVE A LARGE PORT. They claim it's free but it's probably one of the worst for option trading since they route your order to MMs and that's how they make money off of you by screwing your fills. Unless you're selling CC's CSP on Mag7/SPY with low spread, then use $IBKR for order execution since they give you the best fill even if you sell for the lowest price. It looks like you're losing a few dollars but .2 -.4 per contract on execution makes thousands of dollars of a difference. 2. If you're a smaller account, I'd recommend margin instead of 2x leveraged ETFs because of volatility decay. (you can use google to learn why you don't hold 2x leveraged ETFs for more than a short time). You have liquidation risks if you use margin but it's still better than leveraged ETFs. Think they pointed it out already in the post 3. Learn IV of stocks. Eg. Hood probably doesn't go up and down more than 4-6% a day normally. NBIS probably doesn't move more than 7% a day. TSM doesn't really move 4%+ a day. If you're selling CCs 4 days out like on NBIS, 6*4 for example, selling 24%+ OTM for like $130 if it's $107 is usually smart and profitable. If you sell CCs for like $110, you're asking for your stock to be called away and it's usually a strategy when you try and sell it. It's also important to learn catalysts. If there's an earnings coming up the original IV doesn't apply anymore since it could swing a lot higher or lower. Earnings CCs is completely different. 4. CSP is good. If you want to do a lot of this with a small account use IBKR portfolio margin, that way you can write a sell a ton of puts way OTM on a lot of stocks. Biggest risk is either you don't know what you're doing, or there's some black swan event like random 20% tarrifs on the world crashing the market earlier on in the year. Again I'm saying this from the perspective of tons of experience, but a newcomer might lose a lot of money. Same rule for IV applies. If AMZN is usually +-5% a week, you can sell PUTS 7% OTM and likely profit every week. Earnings again is a whole new strategy. it will probably take me a whole lot of time to explain this but it's extremely profitable too. A lot of people just sit on $1M+ and make like $10k a week passively doing "safer" CSPs or DCAing into positions. And earnings week every quarter is an insane amount of money. Unless a stock gets nuked like how TTD tanked 40%. But generally important to learn if you want to compound your wealth + existing assets. Option selling is great real estate (for selling CCs, or extremely OTM put selling) ONLY if you know what you're doing + do it on legitimate assets like IIBIT, HOOD. Otherwise there's tons of risks involved. Generally great advice overall for traders to learn. Just my thoughts and nuances to the lesson from personal experience.
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分享9/25市场观点、定投计划及详细投资组合权重。
9月25日的每日思考+市场下跌分析，如果你喜欢我的见解： 1. 三次降息（Triple rate cut）的概率从65%降至56%。这影响很大，因为人们正在提前交易（front-running）降息预期。无论如何，任何降息通常都会带来大量资金流入，因此对几个月后的市场总体看涨。鲍威尔关于市场估值过高的观点在某些股票上确实成立。Oklo、Quantum等严重高估，但我从不做空。甚至像RKLB这样我喜欢的股票也严重高估。但由于通胀，场外资金太多，除了股票、房地产和BTC外别无他物可持。三次降息意味着他们希望“抢椅子游戏”（musical chairs）再持续8个月。我会开始担心明年夏天。 2. 市场过去两天下跌，我会利用这个机会在$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。
原推 ↗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
原推 ↗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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博主分享核心持仓与主动交易策略，反思若全仓操作收益或超6000%。
除非隐含波动率(IV)低于33%，否则我不做期权交易，比如 $GOOGL 或 $TSM，每笔都获利 $100K+。 通常我会持有一批高确信度的核心股票，如 $HOOD、$RKLB、$IBIT、$NBIS，并持有固定时间。 还有一篮子随机标的，如 $GRAB、$AMZN 等。 然后我会预留大量资金用于主动交易，这些我通常在 X 上发布。 有太多暴涨机会值得思考，比如减半前的 MSTR、Hood、SMCI、HIMS 等。我几乎抓住了每一次突破，但出于风险管理，只投入了组合中较小比例的资金。 如果每次我都全仓押注，哈哈，我的收益可能已经涨了 6000%+。
原推 ↗英文原文
I don't do options unless it's <33% IV things, such as $GOOGL or $TSM, both $100K+ profit each on. Usually I hold a core portfolio of high conviction stocks like $HOOD, $RKLB, $IBIT, $NBIS for a set amount of time. A basket of random stuff like $GRAB, $AMZN, etc. Then I set aside a good amount for active trading, which I usually post on X. Just too many run-ups to think about, like MSTR pre-halving, Hood, SMCI, HIMS, etc. I kind of caught every breakout but only put a smaller percentage of my portfolio into that for risk management. I'd probably be up 6000%+ if I full ported every time lol.
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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
原推 ↗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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卖出TSM看涨期权获利，减仓小盘股并轮动至NBIS。
@foogleman1234 我今天卖出了所有 $TSM 看涨期权，行权价 $175，获利超过 100%。我减仓了涨幅在 20-40%+ 的小盘股。将资金轮动配置到 1 个月期限的 $NBIS 虚值看涨期权和正股中。
原推 ↗英文原文
@foogleman1234 I sold all my $TSM calls today $175 for 100%+ profit. I trimmed small caps that were up 20-40%+ Rotating into it into 1 month $NBIS out of money calls and shares
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分析RKLB、HOOD、TSM及比特币的长期成长逻辑与估值。
嗯，我持有的不多，除了 $RKLB、$IBIT，可能还有 $TSM，$HOOD 但在当前价位下可能性较小。 我在 $18 时就多仓持有 $HOOD，但鉴于其已上涨 1000%+，受金融科技(Fintech)领域限制，很难看到它在 5 年内成长为 1 万亿美元市值。但它一直是我高确信度的多头持仓，因为拥有庞大的用户群并增加了更多产品（如银行服务）。 $RKLB 目前被严重高估，但 SpaceX 是最好的对标，SpaceX 现估值 3500 亿，太空行业因国家安全问题+商业化将保持增长。RKLB 无论 5 年还是 10 年，很可能都会成长到那个体量。 比特币(Bitcoin)很可能继续增长至黄金市值水平。 $TSM 是纯粹的垄断者，像英特尔(Intel)建设晶圆代工厂这样的噪音不太可能在未来 10 年内打破这一格局。
原推 ↗英文原文
Hmm, I don't have many but aside from $RKLB, $IBIT, prob $TSM, $HOOD but less so at these levels. I was long HOOD back at $18 but given its 1000%+ rise already, hard to see it growing into $1T in 5 years due to limits in fintech. But it was always a high conviction long due to consumer base + adding more products eg. Banking. $RKLB is insanely overvalued right now but Spacex is the best comparison, 350b valuation now and space industry will keep growing cause national security issue + commercialization. RKLB will likely grow into that whether it's 5 years from now or 10 Bitcoin will likely keep growing into gold marketcap. $TSM is a pure monopoly, no noise like Intel building foundries will likely disrupt that for another 10 years.
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作者基于英伟达支持、微软大单及宏观降息，将NBIS仓位扩至百万美元，目标价225美元。
关于我将 $NBIS 仓位扩大至 100 万美元以上且目标价定为 225 美元的原因思考： 核心逻辑 ______ 当微软 (MSFT)、谷歌 (GOOGL) 和 Mag7 巨头成为你的客户时（就像 ALAB 或 CRED，我在它们股价低于 100 美元时重仓，或者在 $NVDA、AVGO 或 TSM 起飞之前），公司的未来增长可能会以百分之几百的速度爆发。 历史上几乎没有哪家公司像这样被 Mag7 巨头所依赖。 此外，当英伟达 (NVDA) 也有充分动机推高你的股价时…… NBIS 成为更强的买入标的，是我未来 1 年时间内信心最高的选择。 护城河 + 对英伟达至关重要的 GPU 租赁商 _______ 英伟达看到其他超大规模云厂商如 AMZN、GOOGL 正在构建自己的芯片并减少依赖。 对策？构建 GPU 租赁商（如 CRWV），通过持股和融资，使 Azure/Cloud/AWS 无法取代英伟达。 GPU 的获取越来越多地通过这些租赁商进行，正如我们在 OpenAI 身上看到的，他们不再拥有来自微软的算力，不得不转向谷歌。 谷歌的算力也不够，因此转向 WULF 等公司。微软转向 CRWV、NBIS 等公司，大型科技公司的算力需求向下游这些 GPU 提供商流动。 英伟达有充分理由推高 CoreWeave 和 NBIS 等 GPU 租赁商的估值，以对冲超大规模云厂商自研芯片的风险。 如果没有算力，数十亿美元将流向 NBIS，而英伟达在背后支撑他们。 宏观顺风 _______ Polymarket 已定价 3 次降息。 如果你看过我的另一篇帖子，十年才有一次的三次降息（对流入市场的流动性极其有利）+ 年底季节性因素，这对股票是积极的。 此外，NBIS 市值相对较小，且依赖融资/债务增长。当利息负担下降时，融资成本降低，扩张看起来更可行。 NBIS 的估值 heavily 基于未来收益，随着降息预期，来自微软和其他客户的数十亿美元收入预期将被上调。在昨天的美联储会议后，我们即将看到剧烈的重估。 公司对比 ________ 如果让我选择 NBIS -> CRWV -> WULF -> 其他，权衡潜力与投机性。 CRWV - 英伟达明确支持，市值已达 630 亿美元+。可能涨得更高，但考虑到 NBIS 拥有微软合同、类似的积压订单等，而市值仅为前者的一半多，这就是我选择 NBIS 的原因。 $IREN, BITF, RIOT, $GRRR 等 - 比特币矿工转型算力。我喜欢它们，但它们还没有像微软那样提供去风险化保障。 WULV - 我喜欢它们因为谷歌支持，但 NBIS 的可转债条款和相对于潜力的市值更好。 基本面 ______ 市值：247.8 亿美元（对比 CRWV 的 610 亿美元，后者今年仍下跌 30%），现在拥有类似的收入积压订单，轻松达到相同市值（每股 243 美元+）的潜力很大。 到 2026 年，计入微软交易后，NBIS 总收入可能达到 50-60 亿美元，毛利率强劲（≈70%）。 在 2027-2028 年，如果基础业务（非微软部分）也激进增长，总收入可能达到 80-100 亿美元+。所有这些都伴随着 ~60-75% 的毛利率。 这很疯狂，但主要是因为英伟达支持这些 GPU 公司。基于估值，NBIS 比 CRWV 更具吸引力，且比没有微软背书给予 170 亿美元的 IREN 等其他公司投机性更低。 杂项思考 ___ 他们已经筹集了 41 亿美元+，并为 170 亿美元的微软合同确保了资本支出。这是最大的去风险化事件，也是为什么我在 90 美元+ 投资 NBIS，而不是在 50 美元时投资更投机的标的。 可能还有其他来自超大规模云厂商的合同即将到来。我认为轻松路径是到 140 美元，然后可能因可转债转股下跌，再涨到 200 美元。 可能还有我没提到的细节，如几年后的利润率压缩、运营收入折旧风险等。 但这正是我投资决策的核心（宏观、基本面、行业增长、护城河+激励措施），与波段交易相比，这也是为什么 NBIS 是未来一年高信心标的的原因。
原推 ↗英文原文
Thoughts on why I’m scaling my $NBIS position to $1M+ with a $225 PT: Thesis ______ When MSFT, GOOGL, and Mag7 are your customers like ALAB or CRED (when I took large positions in both sub $100) or before $NVDA or AVGO or TSM took off, a company's forward growth would likely explode in the 100%'s of percent. There are barely any companies in history where Mag7 are dependent on them. On top of that, when NVDA has every incentive to pump your stock as well.... NBIS becomes a stronger buy and has my highest conviction for 1Y timeframe. Moat + GPU lenders Critical Importance to NVDA _______ NVDA sees other hyperscalers like AMZN, GOOGL building out their own chips and reducing reliance. Answer? Build out GPU lenders eg. CRWV, by taking a stake and financing them, so Azure/Cloud/AWS can't replace NVDA. Access to GPUs becomes increasingly through these lenders and as we see with OpenAI, they no longer have the compute from MSFT and have to go to GOOGL. GOOGL also doesn't have enough compute so they go to WULF and others. MSFT goes to CRWV, NBIS and others, and big tech compute flows downstream to these GPU providers. NVIDIA has every reason to inflate GPU lenders like CoreWeave and NBIS to hedge against hyperscaler custom chips. And without compute, billions of dollars will flow to NBIS with NVDA propping them up. Macro Tailwind _______ 3x rate cut priced into Polymarket. If you saw my other post, triple rate cuts only happen once a decade (extremely positive for liquidity flowing into markets) + combined with end of year seasonality, which are positive for equities. On top of that, NBIS is a relatively smaller market cap, and relies on financing/debt to grow. When their interest burden drops, financing gets cheaper, and expansion looks more viable. NBIS is heavily valued on future earnings, and with rate cut projections, far our earnings of billions in rev from MSFT and other clients get marked UP. We're about to see a sharp re-rating after Fed meeting yesterday. Company Comparisons ________ If I had to choose NBIS -> CRWV -> WULF ->others weighing on potential to speculation tradeoffs. CRWV - NVDA clearly backing them, already large $63B+ MC. Could go way higher but growth potential with MSFT contract with NBIS, similar backlog, etc. at more than half the marketcap is why I chose them. $IREN, BITF, RIOT, $GRRR etc. - BTC miners pivoting to compute. I like them but they don't have the same de-risking as MSFT yet. WULF - I do like them since Google is backing them but NBIS conversion terms and MC relative to potential are better. Fundamentals ______ MC: 24.78B (When you compare to CRWV at 61B, which was still down 30% this year), now with similar revenue backlog, it has an easy potential to go to the same marketcap ($243+ a share). By 2026, with Microsoft deal accounted for, NBIS could be doing $5-6B total revenue with strong gross margins (≈70%). In 2027-2028, total revenue could reach $8-10B+, especially if base business (non-Microsoft) also grows aggressively. All with ~60-75% gross margins. This is insane but mainly due to NVDA supporting these GPU companies. Based on valuation, NBIS is more attractive than CRWV and less speculative than IREN or others without MSFT backing giving them 17B. Misc Thoughts ___ They already raised 4.1B+ and secured capex for the $17B MSFT contract. This was the biggest de-risking event and why I'd invest in NBIS at $90+ compared to something more speculative back at $50. There's likely other contracts from hyperscalers coming their way. I'd say easy path to $140, then maybe drop from convertible note, then up to $200. There's probably more specifics that I didn't get to like margin compression in a few years operating income depreciation risk etc. But this was the core of my investment thesis (macro, fundamentals, industry growth, moat + incentives) when I make investment decisions vs. swing trading and why NBIS is high conviction over the next year.
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博主分享TSM看涨期权涨68%及NBIS涨10%的优异收益。
@DavidJang0620 $TSM 看涨期权*。 自从我发帖以来，我的看涨期权目前上涨了 68%。$NBIS 可能上涨了 10%，这仍然是一个极好的回报。
原推 ↗英文原文
@DavidJang0620 $TSM calls*. My calls are up 68% right now since I posted. $NBIS is probably up 10%, which is still an extremely good return.
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建议全仓NBIS博高回报，或全仓TSM求稳健。
@DavidJang0620 $NBIS 是我在当前市场利率下，为了获得最高投资回报率(ROI)而会全仓持有的唯一公司。 如果你风险偏好较低，$TSM 可能是最安全的全仓选择。
原推 ↗英文原文
@DavidJang0620 $NBIS is the only company I'd full port for highest ROI at current market rates $TSM is probably the safest full port if you're lower risk
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预测NBIS短期爆发后，长期走势或类似SMCI面临利润率与库存压力。
对于像 $NBIS 这样的股票，我会假设在一两年内，由于营收增长+前瞻潜力，会有一个巨大的催化剂推动其股价达到200美元以上。 然后它可能会像2-3年后的 $SMCI 一样，当局势稳定下来时，呈现高营收、低利润率，但随着大型科技公司部署由 $TSM 和 $AVGO 提供的自研芯片，面临库存风险和利润增长放缓。
原推 ↗英文原文
Stuff like $NBIS I'd just assume there's going to be a giant catalyst to $200+ in a year or two from revenue growth + forward potential. Then it might end up like $SMCI in 2-3 years when things settle down with high revenue, lower margins, but inventory risk and profit growth once all the big tech deploys their own chips with $TSM + $AVGO.
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按确信度排序：5年首选RKLB，短期回报潜力亦最高。
@junyongisusing1 如果我有5年的时间框架，按最高确信度排序会是 $RKLB，然后是 $BTC，最后是 $TSM。 这份列表只是我对未来几个月回报潜力从高到低的最佳猜测。
原推 ↗英文原文
@junyongisusing1 If I had a 5 year timeframe it would be $RKLB then $BTC then $TSM in terms of highest conviction. This list is just my best guess on return potential from highest to lowest in the next few months.
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分享9月精选15只高潜力股票及理想入场点。
我9月份精选的15只由催化剂驱动的股票，按截至2025财年的潜力排序，附解释及理想入场点： 1. $NBIS - 微软(MSFT)合同超170亿美元，稀释基本完成 < $100（现价）。相比 $IREN、$WULF 或 $BTBT 我更看好这只。 2. $HIMS - 42%的做空比例。来自欧盟的新增客户超120万。若有意外消息可能涨至$100 < $45 3. $LTC - ETF即将推出 + LTC储备 < $120（现价） 4. $RKLB - 中子号火箭将于2026年初发射 < $42 5. $TSM (看涨期权) - 市值持续增长至1.8万亿+，资本支出惊人。< $265（现价） 6. $ETOR - 随着 $HOOD、$IBKR 等金融科技股起飞，该股被低估。在当前价位下，我首选它而非 $DLO 或 $DAVE < $48（现价） 7. $LULU - 受假日消费提振，短期反弹至年底，超卖状态 < $165（现价） 7. $MRVL - 健康的45-55%同比增长，财报后遭不公平惩罚 < $70（现价） 8. $SG - 值得投资以博取反弹。去年股价$45。 < $9（现价） 9. $TSSI - 服务器机架（如 $SMCI、$DELL）正在追赶AI热潮的其余部分。 < $13.5 10. $ASTS - 像 $OPEN 一样的“邪教”级股票 < $38.5 11. $CRDO - 追赶 $ALAB 至380亿美元市值 < $125 12. $RUM - Charlie Kirk及保守派人士有望推动平台参与度至年底。 < $7.25 13. $AMZN (看涨期权) - AWS... 跟随 $ORCL 及其他数据中心财报表现 < $215 14. $SMCI - 2026年远期营收330亿美元。市值240亿美元哈哈。只要一份好财报就能起飞。$45（现价） 15. $IBIT (1年期LEAPS) - 鉴于美元超发，纯比特币敞口。不要 $MSTR 或 $BMNR，只要纯资产ETF < $112.5k 我还有什么遗漏的吗？
原推 ↗英文原文
My top 15 catalyst driven stocks from September sorted by potential to FY 2025, explanation, and ideal entry points: 1. $NBIS - 17B+ MSFT contract, dilution mostly finished < $100 (now). I like this over $IREN, $WULF, or $BTBT 2. $HIMS - 42% Short interest. 1.2M+ customers coming in from EU. Could up to $100 on surprise news < $45 3. $LTC - ETF launch soon + LTC reserves < $120 (now) 4. $RKLB - Neutron Launch early 2026 < $42 5. $TSM (calls)- Keep growing to 1.8T+ MC, capex spend insane.< $265 (now) 6. $ETOR - Undervalued with fintechl ike $HOOD $IBKR taking off. I'd prefer this over $DLO or $DAVE at current prices < $48 (now) 7. $LULU - Short term bounce to year end from holiday consumer spending, oversold < $165 (now) 7. $MRVL - Healthy 45-55% Y/Y, unfairly punished after earnings < $70 (now) 8. $SG - Worth the investment for bounceback. $45 last year. < $9 (now) 9. $TSSI - Server racks like $SMCI, $DELL catching up to rest of AI boom. < $13.5 10. $ASTS - Cult like stock like $OPEN < $38.5 11. $CRDO - Catchup to $ALAB at $38B MC < $125 12. $RUM - Charlie Kirk + conservatives likely to drive engagement to platform EOY. < $7.25 13. $AMZN (calls)- AWS... Follow $ORCL and other datacenter earnings < $215 14. $SMCI - 33B forward revenue 2026. 24B market cap lol. One good earnings and it pops off. $45 (now) 15. $IBIT (1Y leaps) - Pure BTC given USD printing. No $MSTR or $BMNR, just pure asset ETF < $112.5k Anything else I'm missing?
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作者因看好TSM需求且担忧Lyft竞争，倾向重仓TSM而非Lyft。
我不喜欢追高，除非能明确看到未来几年会有疯狂的需求增长，比如 $TSM。 $Lyft 主要面向美国市场，我认为 Waymo 会随着时间的推移扰乱其市场份额。 即使股价在 $20 美元，它依然不错，但我更喜欢其他公司。如果我再有 100 万美元，我会直接投入 TSM 而不是 Lyft，因为我会加倍下注于我更有信心的股票。
原推 ↗英文原文
I don't like chasing unless it's clear it will go up with insane demand over the next few years like $TSM. $Lyft is mainly US market and I see Waymo disrupting market share over time. Even at $20 it's still a good but I like other companies better. If i had another $1M I'd just put that into TSM instead of Lyft since I double down on higher conviction stocks.
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指出AMD依赖台积电代工。
@alc2022 还有……$AMD 运行在 $TSM 之上。
原推 ↗英文原文
@alc2022 and... $AMD runs on $TSM.
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建议买入垄断且低估的台积电，因其他AI股均依赖其代工。
如果你在纠结 $ORCL 对比 $AMZN | $GOOGL，$AMD | $AVGO 对比 $NVDA，$NBIS 对比 $IREN 对比 $WYFI 对比 $CRWV 这很简单。直接买入 $TSM，上述所有公司都依赖于它。 估值偏低且拥有垄断地位，基于未来增长 + 边缘推理(Edge Inference)的资本支出，市值有望从 1.3 万亿美元 -> 1.8 万亿美元。
原推 ↗英文原文
If you're debating $ORCL vs. $AMZN | $GOOGL, $AMD | $AVGO vs. $NVDA, $NBIS vs. $IREN vs. $WYFI vs. $CRWV It's easy. Just buy $TSM, everything above is dependent on it. Undervalued and a monopoly, will likely run from $1.3T -> $1.8T MC based on forward growth + capex from ERs.
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博主复盘分享头寸单日涨跌，承认$ETOR看错，并说明后续发帖计划。
第二天——我分享的头寸单日回报： $TSSI：$14.40 → $15.76 (+9.44%) $HIMS：$47.85 → $51.17 (+6.94%) $NBIS：$91.00 → $96.20 (+5.71%) $TSM（杠杆）：$253.60 → $261.79 (+3.23%) $ETOR：$45.00 → $43.50 (–3.33%) —— 这个看错了，但时间会证明一切。 因为已完成每小时的更新，中午就结束发帖了。 作为一次性分享，觉得全天随机聊聊想法挺有趣。我通常不提及何时止盈，因为告诉别人卖出感觉很奇怪。 如果有好的机会，我偶尔还是会回来发帖聊股票。
原推 ↗英文原文
Day 2 — single-day returns on the positions I’ve shared: $TSSI: $14.40 → $15.76 (+9.44%) $HIMS: $47.85 → $51.17 (+6.94%) $NBIS: $91.00 → $96.20 (+5.71%) $TSM (leverage): $253.60 → $261.79 (+3.23%) $ETOR: $45.00 → $43.50 (–3.33%) — got this one wrong, but time will tell. Wrapping up mid-day since I’m done with the hourly posts. As a one-off, thought it’d be fun to share some random thoughts throughout the day. I usually don’t mention when I take profit since it feels weird to tell people to sell. I’ll still drop in from time to time to post about stocks if there's a good opportunity.
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建议持有 $TSSI 以捕捉半导体牛市红利，预期单日涨幅超 10%。
如果你正考虑在 $TSSI 上获利了结，请记住该股在稀释前曾达 $30，且目前半导体牛市势头强劲，涉及 $SMCI、$TSM、$AVGO、$IREN、$NBIS、$WYFI、$NVDA 和 $ORCL。若涨势持续，单日涨幅可能超过 10%。
原推 ↗英文原文
If you’re thinking about taking profits on $TSSI, just remember the stock was $30 before dilution and there’s a huge semi bull run with $SMCI, $TSM, $AVGO, $IREN, $NBIS, $WYFI, $NVDA and $ORCL. Could see it go up 10%+ a day if the run continues. https://t.co/ks67hMAi01
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博主分享$TSM期权建仓细节，看高市值至1.8万亿并建议逢低买入。
如果你好奇的话，这就是我昨天买入的具体期权合约。我在进行成本平均法建仓，但可能会将规模扩大到价值30万美元的LEAPS（长期股权预期证券）。$TSM 的市值可能会反弹至1.8万亿美元，所以如果你打算跟随操作，试着寻找一个好的回调买入点。
原推 ↗英文原文
These were the exact strikes I bought yesterday if you were curious. I was cost averaging, but probably scaling it to $300k worth of leaps $TSM will probably rally to $1.8T market cap, so try and find a good dip if you’re tagging along. https://t.co/xyvc7WdSU7
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买入TSSI，看好小盘半导体随AI板块反弹。
鉴于半导体反弹已扩展至如 $SMCI 等服务器机架领域，我买入了 $40K 的 $TSSI。该股从 $31 跌至 $13.6，考虑到 $TSM、$CREDO、$NBIS、$AVGO、$MRVL、$ALAB 等其他半导体/AI 股票均已反弹，小盘股反弹的机会很大。https://t.co/jWkww0Avro
原推 ↗英文原文
Bought $40K of $TSSI now that the Semi rally extended back to server racks like $SMCI. Down from $31 -> $13.6, good chance for a rebound for small caps given the rest of semis/AI from $TSM, $CREDO, $NBIS, $AVGO, $MRVL, $ALAB and others have rallied. https://t.co/jWkww0Avro
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不看好SG但预期其反弹，更看好TSM等标的。
@moonman6577 我对 $SG 不太看好。如果让我挑选我看好（bullish）的股票，我会选 $TSM、$HOOD、$RKLB、$CREDO、$NBIS 等。但我认为 $SG 会反弹，因为它因短期期权（option）资金流而超卖（oversold），而且我单纯就是喜欢他们的沙拉。
原推 ↗英文原文
@moonman6577 I'm not too bullish on $SG. If I had to pick stocks I'm bullish on it would be $TSM, $HOOD, $RKLB, $CREDO, $NBIS and others. But I see $SG rebounding since it's oversold from short-term option flows and I simply just like their salad.