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看好绿的谐波作为中国机器人高壁垒部件龙头。
我确实认为绿的谐波(688017)是中国机器人行业里突出的零部件龙头。 我研究过很多其他机器人标的和 $TSLA Optimus 供应商，但绿的谐波非常独特。 和那些做低利润率组装、低价值零部件、或更容易被设计替换的公司相比，它不一样。 高盛研究等西方机构多次提到绿的谐波： -> 它是一家具有高技术壁垒的公司，例如谐波减速器。 -> 并且很可能在每台人形机器人里捕获高价值零部件成本，比如行星滚柱丝杠。 简单说，绿的谐波覆盖了： 1. 多种不同零部件，且进入壁垒高 2. 如果把这些部件合在一起，占每台人形机器人较高的物料清单(BOM)价值 3. 低成本大规模量产能力 这些都对应每一台被制造出来的人形机器人。 请在做决定前自己研究这个主题；但从长期看，如果你相信人形机器人行业会增长，我认为绿的谐波(688017)非常有吸引力。 主要风险来自其他新兴中国公司在不同单项零部件上抢占市场份额。 另一个风险是量产后利润率随时间下降，就像 $VPG 的传感器从早期预生产阶段的750美元降到150美元。 但总体而言，我不认为中国以外的公司，比如 Harmonic Drive(6324)，能在大规模生产上实现同样成本。这也是为什么 $TSLA Optimus 正在中国建立广泛供应链。 所以我们很可能看到供应链分化：一边是来自中国供应链、成本约1.5万到2万美元的低成本量产人形机器人；另一边是来自西方供应链、成本更高的人形机器人。 如果你只看当前市盈率并说它很高，我认为很大一部分误解来自没有看未来增长。 目前还没有真正大规模量产。智元机器人(AGIbot)最近在3月实现了1万台产量。 但未来3-5年，如果按照埃隆·马斯克和其他人的预测，每年会生产数百万台人形机器人，那么人形/机器人行业的总可寻址市场(TAM)会非常大。 所以我的预期是，回头看绿的谐波当前106.5亿美元市值，相对于它在整体机器人市场里可能捕获的份额，会显得非常小。 因此我不认为这样的投资论点应该用短期时间框架来衡量，也不认为人们应该主动交易这类名字。 它更像是一个长期投资想法：这家公司可能在未来几年指数级增长的整体人形机器人市场中，捕获相当重要的一部分。
原推 ↗英文原文
I do think LeaderDrive (688017) is China's standout component leader in the robotics sector. I've done a lot of research on other robotics picks / $TSLA Optimus suppliers, but LeaderDrive is extremely unique. Compared to others doing lower margin assembly, or lower value components, with higher design out risk. Western institutions like Goldman Sachs Research flags LeaderDrive many times: -> As a company with high technology barriers (eg. harmonic reduction gear). -> and likely capturing high component value costs like planetary roller screws of each humanoid produced. In simpler terms with LeaderDrive, you cover: 1. Many different components, with high barrier to entry 2. High BOM of each humanoid made, if you combine them together 3. Mass production capability at low cost. For each humanoid made. Please do your research on this topic before making your own decision; but long-term if you believe in humanoid sector growth: I think LeaderDrive (688017) is very compelling. Risk is mainly coming from other emerging Chinese companies taking over market share of different individual components. As well as mass-production margins decreasing over time; as seen with $VPG going from $750 (for early stage pre-production) -> $150 for sensors. But in general, I don't believe companies outside China like Harmonic Drive (6324) can achieve the same costs for mass production, which is why $TSLA Optimus is creating extensive supply chains from China. So we'll likely see supply chains be bifurcated with cheap mass production $15k-20K humanoids from Chinese supply chains. And higher cost humanoids from Western supply chains. Again if you look at current P/E ratios and say it's high; a lot of it is misunderstanding comes from not looking at forward growth: Nothing has been mass produced yet. AGIbot has recently achieved 10k units produced back in March. But in the next 3-5 years, the TAM of the humanoid/robotics sector forecasted by Elon Musk and others very large, if he's expecting millions of humanoids to be produced a year. So my expectation is the current $10.65B MC would look very tiny in hindsight of LeaderDrive's market capture of the overall robotics market. So I don't believe thesis like this should be measured in short term timeframes (or that people should actively trade names like these). Moreso a long term investment idea about how this company could capture a material part of the overall humanoid market that exponentially grows over the next few years.
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VPG自其论点后涨三倍，但承认ASP估计过高且有TSLA设计替换风险。
好吧，$VPG 自我发布 thesis 以来最终涨了三倍。 我原始 thesis 里的 ASP 搞错了，量产价格是150美元，而不是管理层引用的约750美元中位数。 而且 $TSLA 设计替换风险让我降低了集中度。 但无论如何，3倍也不算差。
原推 ↗英文原文
Well $VPG ended up tripling since my thesis post. I got the ASP wrong in my original thesis, was $150 mass production rather than ~$750 midpoint quoted by management. And $TSLA design out risk made me cut concentration. But 3x regardless not too shabby. https://t.co/ksB8ZrnnEg
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用星战梗概括太空、激光和机器人主题。
我完全相信股市在暗中围绕建造死星和战斗机器人运转： $RKLB / $SPCX / $PL = 死星 $LASR / $SIVE = 激光束 $TSLA / Unitree = 战斗机器人
原推 ↗英文原文
I’m fully convinced the Stock Market secretly revolves around building the Death Star and Battle Droids: $RKLB / $SPCX / $PL = Death Star $LASR / $SIVE = Laser Beams $TSLA / Unitree = Battle Droids https://t.co/C53qKjWrS8
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中国掌握人形机器人量产关键牌，美国应加大主权稀土供应链投资。
谁能想到中国在人形机器人量产上握着所有牌？ 如果美国真的看好 $TSLA 或 Figure 机器人计划的未来。 也许是时候开始向主权稀土供应链投入更多资金了。 我们现在做的还不够。
原推 ↗英文原文
Who could have thought China was holding all the cards over humanoid mass production? Really if America sees a future in $TSLA or Figure robotics programs. Maybe it’s time to start pouring more funding sovereign rare earths supply chains. Whatever we’re doing now isnt enough. https://t.co/VQXh9otLMi
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看好Harmonic Drive，但更倾向用资本支持西方供应链而非中国。
我确实看好 Harmonic Drive (6324) 作为西方谐波减速器领域的领导者，估值约 42 亿美元。在机器人/人形机器人的物料清单价值中占非常大比重。我实际上更看好 Leader Drive（因为大规模生产更便宜，覆盖更多零件）。也许三花(Sanhua)会是 $TSLA Optimus 的供应商。但用我的资本，我更偏好支持西方供应链而非中国供应链。这不仅仅是赚市场的钱，还关乎你想达成什么目标（帮助推进美国供应链和机器人行业领导者）。
原推 ↗英文原文
I do like Harmonic Drive (6324) as the Western Leader (eg. harmonic reduction gear) at ~$4.2B MC. Very large part of robotics/humanoid BOM value. I actually like Leader Drive more (since it's cheaper for mass production, covers more parts). And maybe Sanhua for $TSLA Optimus. But prefer to advance Western supply chains with my capital over ones in China. It's not just profiting off markets, but what you want to get accomplished as well (helping advance US supply chains and Robotics leaders).
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认为 Amazon 在机器人领域被严重低估
@Dog_Ziller 我其实觉得 $AMZN 的机器人业务被严重低估了。 因为它立刻就能通过自动化降低 opex 和 headcount，带来实际收益。 至于通用人形机器人，$TSLA、Unitree、Figure、Boston Dynamics、Agibot、Agility 这些名字应该都会表现不错。
原推 ↗英文原文
@Dog_Ziller I actually think $AMZN for robotics is extremely underrated. Since since there’s immediate practical upside to lower opex + headcount for automation. But for general purpose $TSLA, Unitree, Figure, Boston Dynamics, Agibot, Agility, and others should do well.
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从 CAD CEO 的说法看好机器人，但强调去中国供应链化
“机器人可能会成为史上最大的产品类别”——$CDNS CEO。 “预测是 25 万亿美元。全球 GDP 才 110 万亿美元。所以如果这真发生了，那就太大了。” 我方向上对机器人 / 人形机器人非常看多。 但也许现在是时候让 $TSLA 和美国真正开始优先考虑，如何在中国供应链之外去建设它了？
原推 ↗英文原文
“Robotics may be the biggest product category of all time” - $CDNS CEO. “The projection is $25 trillion. The whole GDP of the world is $110 trillion. So this is huge if this happens.” Extremely bullish on robotics/humanoids directionally. But maybe it’s time for $TSLA and America to really start prioritizing how we build it outside Chinese supply chains?
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寻求人形机器人早期纯正标的，2年内10倍潜力
好了各位。我需要一些关于人形机器人敞口的早期$RKLB equivalents（类早期Rocket Lab标的）的想法。未来2年内10倍+的潜在回报，且比$TSLA更纯正的人形机器人相关敞口。你们最好的想法是什么？
原推 ↗英文原文
All right chat. I need some more ideas on the early $RKLB equivalent for humanoid exposure. 10x+ potential returns only in the next 2 years and more pure play exposure than $TSLA. What’s your best ideas?
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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 $TSM needs to say this. 7. MLCC, inductor prices = price hike. Will cover beneficiaries later. 8. "Taiwan's OSAT expansion could tighten global test capacity and raise costs" I went long on Taiwan OSATs recently like Shunsin (6451) for a reason. Demand will just outstrip supply, even after expansion. (cowos, sip, optical).
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AI数据中心供应链严重依赖亚洲，中东冲突加剧流动性风险，稀土应成美国国安优先事项
Hi Ron，这个话题分为两个不同的部分： 1. 超大规模云服务商（$ORCL、$META、$AMZN）：他们的支出超过了盈利水平（$GOOGL 是罕见的例外，而 $AAPL 相对而言支出并不多）。 因此市场担心这并没有转化为实质性的收入。 尤其是像 Oracle 这样负债累累的公司，降息是使其稍微可持续的重要因素（如果你看债务利息，数目非常庞大），而降息既能推动产能扩张，也能带来实质性的成本节省。 由于伊朗战争和原油价格上涨，原定2026年的降息预期已经落空。 雪上加霜的是，人们担心他们的 AI 数据中心建设供应链会中断。 如果你看看他们的 AI 数据中心部件产地： - 来自台湾 - 来自韩国 - 来自日本 这是一个全球化的供应链。 虽然美国看起来没问题，因为它在石油、液化天然气、氦气和其他半导体供应链所需的资源方面是绝缘的。 但我们的亚洲合作伙伴并不处于长期冲突中。 所以当你看到亚洲那些规模较小、专业化的公司时，它们正在苦苦挣扎。 这种影响会层层放大，一直传导到终端的亚马逊网络服务 AI 数据中心（成本上升、供应短缺）。 2. AI 整体而言：投资者对此非常乐观。 问题在于实现路径，而美国在表面上看起来被中国卡住了。 - 美国投入过多，而中国和其他国家正在蒸馏我们的最新模型（需要 KYC 端点管控），坐享其成。 - 随着 AI 项目的规模扩大，它正变得越来越依赖中国公司。 我认为这是因为美国缺乏稀土，这应该成为我们的头号国家安全优先事项。 这是制造新一代 AI 硬件、机器人供应链和太空探索所需的。 这些资源都由中国和俄罗斯控制。即使是领先的"西方"公司，我已发现它们仍然主要依赖中国/俄罗斯。 这是我们确保前沿项目安全最大的漏洞之一。 如果你看光子学（AI 硬件如何通过光加速），我们没有西方的供应链来满足需求。主要材料来源是中国的 $AXTI 和中国的 Vital 两家公司，然后流转到日本或其他公司，最后进入美国。 如果你看我们的人形机器人项目（我们如何将 AI 带入现实世界），$TSLA Optimus 的所有躯体都是在中国制造的。 美国供应链缺乏制造这些组件所需的稀土，因为成本太高。 3. 中东地区的冲突 近期下跌的一个重要原因是流动性问题。我们在阿联酋、中东的合作伙伴主要在为私募市场提供资金（想想 OpenAI），他们大量的支出流向 AI 市场。 他们也是从 Meta 到微软等科技七巨头最大的投资者之一。 如果他们的油田继续受到干扰，他们可能不得不从美国市场撤出流动性。 这既影响这些公司在 AI 上的支出能力，也会导致美国市场的抛售下跌。 如果有takeaway（要点）的话：请把稀土列为美国头号国家安全优先事项。特朗普总统已经投资了 $USAR、$MP 和几个单独的公司。 但还有许多更多至关重要的、尚未盈利的公司，它们对于制造 AI、自动驾驶汽车和机器人都是必需的。我们需要打破对中国/俄罗斯的依赖。
原推 ↗英文原文
Hi Ron, so there's two different parts to it: 1. Hyperscalers ( $ORCL, $META, $AMZN): They're spending more than they have with profit ( $GOOGL is the rare exception, and $AAPL isn't really spending much relatively). So markets are worried less worried it's translating into material revenue. Especially with companies like Oracle taking on immense amounts of debt, rate cuts were a large driving factor in why it's slightly more sustainable (if you look at debt interest, it's massive), and cutting rates drives both forward expansion and material amounts of savings. Due to the War in Iran, rising crude, former projections with cutting rates in 2026 are now gone. This is compounded that there are worries that their AI buildout supply chain gets disrupted. If you look at where their AI datacenter parts are made: - it comes from Taiwan - it comes from Korea - it comes from Japan It's global. While the US might look like it's fine, since it's insulated to Oil, LNG, helium, and others needed for the semiconductor supply chain. Our Asian partners are not in a long drawn out conflict. So when you look at companies in Asia that are more small and niche they are struggling. And this gets compounded tens of times until it reaches all the way down to the end Amazon Web Services AI datacenter (increased costs, lack of supply). 2. AI as a whole: Investors are very bullish on it. It's just how we get there, and America looks strangled by China optically. - America is spending way too much on it, with China and others distilling our latest models (need KYC endpoints), and reaping all the benefits. - As we scale our AI programs, it's becoming increasingly reliant on Chinese companies. I'd argue it's because America lacks the rare earths, which should be our #1 national security priority. This is needed to make new generations of AI hardware, robotic supply chains, and Space. They're all controlled by China and Russia. Even the leading "Western" companies, I've identified they're mainly relying on China/Russia still. And this is one of the biggest vulnerabilities in securing our frontier programs. If you look at photonics (how AI hardware is sped up by light), we no Western supply chain to fulfill our needs. It's $AXTI (in China), and Vital (in China) as the two main sources of materials needed to make them, that gets passed down to Japan, or other companies before they end up in US. If you look at our humanoid program (how we move AI to the real world), all the bodies of $TSLA Optimus are made in China. American supply chains lack the rare earths needed to make the components because it gets too expensive. 3. Disruption in the Middle East A large part of the recent drop is mainly due to liquidity. Our partners in the UAE, Middle East are largely funding private markets (think OpenAI) and a lot of their spend going to AI markets. They're also one of the biggest investors in Mag7 from Meta to Microsoft. If their oil fields continue getting disrupted they may have to pull out liquidity from US markets. This impacts both the amount of money these companies can spend on AI. As well as causing a drop in American markets from selling. If there's any takeway: Please make Rare Earths Amercia's #1 national security priority. President Trump already invested in $USAR, $MP, and a few individual names. But there are many more extremely critical, yet unprofitable companies that are needed to make AI, to self driving cars, to robotics. And we need to break our reliance on China / Russia.
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全球供应链高度互联，战争将摧毁从AI到消费电子的产业链，受益者仅是以色列和俄罗斯。
我仍然看多市场（目前85%多头，15%现金/对冲）。即使在战争时期，我预期从$AAOI到$LITE的许多股票仍能跑赢大盘。然而...如今世界高度互联。现任政府可能没有意识到上游供应链的严重性和脆弱性。他们可能看到$AAPL的"美国制造"。或者$TSLA的"美国制造"，但如果你看看特斯拉人形机器人的供应链来源：-> 在中国。执行器(Actuator)材料来自俄罗斯的原料。材料来自加拿大的合作伙伴。-> 对于星链(Starlink)，大量供应链来自台湾稳懋(Win Semi)到韩国的公司。对于OpenAI、私募股权、大型科技公司和其他公司的资金来源：-> 很大一部分来自阿联酋、中东和其他地方（随着油田被炸毁，他们可能需要撤出流动性）。持续数月的美国地面入侵造成的混乱是是非常看跌的。我最初预期的是"震撼与敬畏"，美国宣称胜利，战争冲击被买回。但我不会鼓励美国走向一场旷日持久的战争。这对亚洲伙伴（韩国、日本）或我们在欧洲的盟友都没有好处。战争的主要受益者是：#1：以色列 #2：俄罗斯世界其他地区，包括美国，都被战争拖累。看起来"油价/能源价格上涨对美国有利"：但它摧毁了从$NVDA到$AAPL的超大规模数据中心(Hyperscaler)所依赖的大量供应链。
原推 ↗英文原文
I'm still long on markets (now 85% long, now 15% cash/hedges). Even during wartime, I expect many names from $AAOI to $LITE to outperform. However... The World is largely interconnected now. The current administration might not realize the severity/fragility of upstream supply chains. They might look at $AAPL "Made in America". or $TSLA "Made in America" but if you look at the source for Tesla Humanoids: -> It's in China. Actuator materials stem from Russia feedstock. Materials come from partners in Canada. -> For Starlink, massive amount of supply chains stem from Win Semi Taiwan to companies in Korea. For where the funding from OpenAI, private equities, megacap, and others come from: -> Large part of it comes from UAE, Middle East, and others (that might need to pull out liquidity) as their oil fields get blown up. Extended disruptions (US ground invasion) for spanning multiple months, is very bearish. I was initially expecting the "Shock and Awe" and US to claim victory and for short term War shock to be bought back. But I would not encourage US to head toward a drawn out War. This especially is not good for Asian partners (SK, Japan) or our allies in Europe either. The main beneficiaries of War are: #1: Israel #2: Russia The rest of the World, including the US, are getting dragged down from War. It looks like "Oil/Energy prices going up is good for US": But it takes down a lot of supply chains that the hyperscalers from $NVDA to even $AAPL relies on.
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持有 VPG 作为 TSLA Optimus 传感器供给的一部分，但不确定是否会被中国伙伴替代。
@throughthetape 我持有 $VPG，因为这曾经是我做 Tesla Optimus 的多头标的。 不过，我也不能 100% 确定它们是不是已经被中国合作伙伴在量产放大时设计绕开了…… 但这段话看起来又像是它们仍然是关键供应商？真的很难完全确定。
原推 ↗英文原文
@throughthetape I have a position in $VPG since this was my $TSLA Optimus long. But, I'm not 100% sure if they got designed out or not by Chinese partners for mass production ramp... However, this statement makes it sound like they're still a critical supplier? Really hard to know for sure.
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把 VPG 视作 Tesla Optimus 传感器供应链的一环，并引用机器人量产目标。
我很久没再聊 $VPG 了。 这曾经是我看 Tesla Optimus 放量的一个传感器标的。 本周 Sidoti 大会上有个非常重要的线索： “到 2026 年底前，每周有可能扩产到几百台机器人。” 这听起来是不是很像 Optimus？ 如果按他们 CEO 那句“每台机器人 500 到 1200 美元”的说法来看：也不差。 但当然，很多机器人供应链在真正的人形机器人大规模拐点出现之前，基本都还是死钱。 也许 Unitree IPO 会让机器人供应链稍微活跃起来。
原推 ↗英文原文
Been awhile since I covered $VPG. This was a sensor play for $TSLA Optimus Ramp. Very important breadcrumb this week at the Sidoti Conference: "Potential to scale to hundreds of robots per week by the end of 2026." Kinda sounds aligned with Optimus? No? If we go off their CEO "$500-$1.2k per robot" statement: Not too shabby. But of course, a lot of robotic supply chains are kind of dead money until the actual inflection point humanoids at scale hits. Maybe Unitree IPO sparks some life into robotic supply chains soon?
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警告西方创始人不应在中国设企或融资，技术恐被强制转让
给西方前沿科技领域（AI、机器人、太空和半导体）从业者的一个忠告：创始人**绝对不应该**在中国本地设立企业或寻求那里的风险投资。尤其不要设立合资企业，除非你的公司叫$TSLA或者你是千亿美元级别的企业。硅谷有太多案例表明，中国政府进行胁迫和强制扣押。太多创始人被8000万美元以上的高额融资所吸引，与当地实体签署了大量“优厚”协议。然后在中国建立技术或亲自访问。但当资金被冻结、技术被强制转移给中国国有企业时，那些纸面资本毫无意义。没有高管愿意公开说出这些，因为他们都害怕中国或与中国有业务往来，但这就是残酷的现实。希望发完这条帖子后不要被机器人水军攻击。
原推 ↗英文原文
Just a lesson to people in the West working in frontier technologies from AI, Robotics, Space, and Semis: Founders should **NEVER** set up businesses locally in China or try and get venture capital there. Especially: Do not set up JVs if your name isn't $TSLA or you're a hundred billion dollar company. There's too many anecdotal stories of coercion and forced detaining by the Chinese government in Silicon Valley. Too many founders get lured by $80M+ high fundraising amounts. Many exuberant "deals" with local entitles. Then build their technology there or visit there in person. But that paper capital doesn't matter when it gets locked down and your technology gets forced transferred to Chinese state run entities. No executives want to say this out loud since they're all scared of China or have business ties there, but that's the harsh reality. Hope all the bots don't come after me after this post.
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认为 TSLA 若真兑现 Optimus 和 xAI 替代人力，市值会很夸张，但当前按常规指标仍偏贵。
不确定。我个人并没有持有 $TSLA，但我能理解为什么其他人会买，因为 Elon 确实很有远见。 如果他真的能把量产 Optimus 身体 + xAI 大脑落地，并且真的开始替代人类劳动。 那 1.3 万亿美元看起来都只是小钱。 但就目前来说，我还是认为按传统指标看，它显得偏贵。
原推 ↗英文原文
Not sure. I personally don't own $TSLA, but I can see why others do would given how visionary Elon is. If he actually delivers on mass production Optimus bodies + XAi brain and manages to replace human labor. $1.3T will look like pennies. But as of now, I mentioned it looks overvalued by conventional metrics.
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更信 Elon 能造出类似 Terafab 的工厂，而不是 INTC 的传统路线。
老实说，我更相信 Elon 能造出像 Terafab 这样的晶圆厂，而不是 $INTC 现在这种传统路线。 这家伙都能把像 Starship 这种小山一样大的可回收火箭送上天。 对，$TSLA 按传统指标看是偏贵。 但 Tesla 不是一家传统公司，不该按传统方式估值。 这人知道怎么把事情做成（虽然会有延误），无论是人形机器人还是 FSD，更多只是时间问题。 公司和在 X 上发想法的人，都需要这种跳出框架的人。
原推 ↗英文原文
Honestly... I have more trust in Elon with building a foundry like Terafab. Then I do with $INTC with their merchant one? The guy literally made reusable rockets like Starship, the size of small mountains, go vroom vroom into Space. Yes, $TSLA looks overvalued by every conventional metric. But Tesla is not a conventional company and should not be valued as such. The guy knows how to get stuff done (with some delays), it’s more of a matter of time with humanoids or FSD. Need more out-of-the box thinkers like him both in running companies and sharing thoughts on X.
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回顾父亲最看好的 PL，以及自己后来转向 RKLB 的经历和遗憾。
我爸最看多的股票？ $PL，3 美元时买的，现在 18 个月涨了 996.5% 以上。 我自己也为了好玩买过 1 股。 因为我当时并不觉得 Planet Labs 的营收能真正增长。 后来我转而重仓了 $RKLB。 现在 Planet Labs 已经涨了 10 倍以上，而我只剩下一堆懊悔。 顺带一提：他当年 35-40 美元时也很看好 $COIN，早期 $TSLA 他也看得很准，我一个都没听。 教训是： 有时候，你爸可能比你更会选股。尤其当你本来就跟他很像的时候。
原推 ↗英文原文
My dad’s most bullish stock? $PL at $3, which is up over 996.5% in 18 months. I bought 1 single share for fun. Because I didn’t think Planet Labs would grow revenue. I ended up long $RKLB instead. Planet Labs is now up over 10 times, and now I‘n left with a lot of regrets. FYI: They liked $COIN at $35-40 and early $TSLA as well, I didn’t listen to any of them. Lesson learned: Sometimes your parents are better investors than you are. Especially when you’re a mirror of them.
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博主提出三种情景下的减仓应对策略：TSLA换供应商则降Optimus风险，和平时期则退国防股，加密熊市则卖HOOD
除非发生重大变化。如果$TSLA转而使用中国供应商而不是$VPG进行大规模生产，那么我关于Optimus物料清单(BOM)的论点会略微改变，我就会降低风险。如果美国突然进入和平时期、战争结束，那么最好退出国防相关股票。如果加密货币最终崩溃，可能意味着$HOOD的增长周期接近尾声，可以考虑在$100以上时退出。
原推 ↗英文原文
Unless there’s material changes. If $TSLA comes in and uses Chinese suppliers instead of $VPG for mass production, then my thesis on Optimus BOM slightly breaks and I’ll derisk. If US suddenly enters peacetime and there’s no War anymore, it’s better to exit defense related stocks. If crypto ends up crashing it’s probably near the end of the growth cycle for $HOOD and it’s fine to exit $100+.
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认为即使先进机器人原型能在美国做出来，规模化时还是会因稀土而受中国控制。
@Adam_a_Dias 你当然可以在 $TSLA 或 Boston Dynamics 做出最先进的机器人原型。 但一旦要规模化，中国就会因为稀土优势而掌控局面。
原推 ↗英文原文
@Adam_a_Dias You can manufacture the most advanced robot prototypes at $TSLA or Boston Dynamics. But when you try and scale it up, China has control because of rare earths dominance.
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建议 NBIS 学 Tesla 一样给数据中心起更酷的名字。
对，$NBIS 只需要学 Elon 给 $TSLA 命名数据中心的方式，比如那个超酷的 “Colossus” 数据中心。 他可没叫它“孟菲斯数据中心 1”。 就照着这个思路更上一层楼。 把 $NBIS 下一个数据中心叫“The Singularity Megaplex”，放在 Vineland，之类的。
原推 ↗英文原文
Yep, $NBIS just needs to follow how Elon does his naming conventions with $TSLA like "Colossus" DC, which is a badass name. He didn't call it "Memphis Datacenter 1" Just one up that. Call $NBIS next datacenter: "The Singularity Megaplex" in Vineland, and it would command a much higher valuation.
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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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分析空头回补的三种可能情景及价格影响。
@LandoInvests 大多数时候这不会在一天内发生（如果买盘压力足够大，有时确实会）。可能会像 $TSLA 那样，随着基本面改善，空头回补。或者第三种情况，什么也没发生（投降式抛售 -> 买入平仓但未推动价格上涨）。我们拭目以待。
原推 ↗英文原文
@LandoInvests Most of the time it doesn’t happen over one day (sometimes it does if there’s enough buying pressure). Could end up like $TSLA where shorts buy back as fundamentals improve. Or scenario three, nothing (capitulation -> buy to cover without moving price). We’ll see what happens.
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$HIMS因与$NVO合作及基本面反转，周一或现逼空行情。
$HIMS 隔夜交易即将开始，周五收盘价为 $22。 此前该股交易价为 $70，但鉴于： - $NVO / 美国政府诉讼威胁使公司破产 - $HIMS 来自 GLP-1 的收入减速。 空头做空了该公司 40% 以上的流通盘。 所有这一切在周五盘后发生了逆转，据彭博社报道，$NVO 与 $HIMS 达成合作，这是一个极其令人惊讶的事件。 由于收入重新加速、为全球扩张进行的新收购、资产负债表无破产威胁，以及现在与 $NVO 的合作： 空头现在面临无限亏损，做空了接近一半的流通盘。 目前的格局看起来非常适合发生逼空(short squeeze)。 然而，结果主要取决于散户的反应，或者他们是否会向空头投降。 无论如何，每个人都会关注周一，看看 $HIMS 的仙人掌药丸(cactus pills)是否能作为对抗原油的宏观经济避险资产。
原推 ↗英文原文
$HIMS overnight trading will begin soon after finishing Friday at $22. Previously it traded at $70, but given: - $NVO / US Gov lawsuit threatening to bankrupt the company - $HIMS revenue deceleration from GLP-1. Short sellers shorted 40%+ of the company’s float. All of that flipped Friday after hours once $NVO partnered up with $HIMS per Bloomberg, in an extremely surprising event. Due to revenue reaccelerating, new acquisitions for global expansion, no threats of balance sheet insolvency, and now a partnership with $NVO: Short sellers now face infinite losses, selling close to half of the float short. And the setup looks prime for a short squeeze. However, the outcome primarily depends on how retail reacts or if they capitulate to short sellers. Either way, everyone will be watching Monday to see whether $HIMS cactus pills serves as a macroeconomic flight to safety against crude oil.
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HIMS利空出尽基本面反转，周一或现历史性空头挤压，作者计划买入。
周一可能创造历史。 因为历史上最大规模的空头挤压之一可能正在上演。 > 机构做空了 $HIMS 40% 的流通股（规模极大） > 预期其营收增长为 0 > 押注 FDA 和 $NVO 会让该公司破产 然而，所有转折都在一天内发生： > $HIMS 与 Novo Nordisk 的诉讼被撤销。 > Hims 营收突然再次加速。 > 与此同时，$HIMS 通过 Eucalyptus 扩展至加拿大、澳大利亚和日本。 > $HIMS 通过 Zava 扩展至英国和欧洲。 > 现在突然拥有了合法的全球分销网络、健康的资产负债表、与 $NVO 的合作关系，以及 40% 的流通股被做空。 可能没人预料到这一点。 尤其是那些认为 HIMS 会破产、现在面临数十亿美元无限亏损的空头。 我也曾看空 $HIMS，但这确实是一个巨大的反转故事。 两种可能的场景： 1. 如果所有空头周一同时平仓，可能会发生类似大众汽车式的空头挤压。 很可能一些空头为了风险管理想在其他人之前以 $22 的价格退出，这将引发即时的买盘压力。 2. 另一种场景是随着 $NVO 合作关系的建立，$HIMS 的增长重新点燃，并随着公司基本面改善，出现类似 $TSLA 式的缓慢挤压。 鉴于 $HIMS 曾交易于 $70，现在回到 $22，且兼具法律清晰度和营收加速。 我个人会在周一跳上这艘船，添柴加火，看看事态如何发展。 这可能是历史的缔造时刻。
原推 ↗英文原文
Monday could make history. As one of the largest short squeezes in history could unfold. > Institutions shorted 40% of $HIMS (extraordinarily large) > expecting 0 revenue growth > betting the FDA and $NVO would bankrupt the company All in one day: > $HIMS lawsuit with Novo Nordisk dropped. > Hims sudden revenue acceleration begins again. > All while $HIMS expanded to Canada, Australia, and Japan via Eucalyptus in the meantime. > $HIMS expanded to UK and Europe with Zava > Now suddenly a legal global distribution network, healthy balance sheet, $NVO partnership, and 40% of the float shorted. Likely 0 people expected this. Especially short sellers who now face billions in infinite losses, that thought HIMS would be bankrupted. I was bearish on $HIMS too, but this is a massive turnaround story. The two likely scenarios: 1. One scenario is a Volkswagen-type short squeeze on Monday if all the short sellers tries to cover at once Monday It's very likely some short sellers want to exit before others do at $22 for risk-management and this causes immediate buying pressure. 2. The other scenario is growth in $HIMS reignited with the $NVO partnership and a slower $TSLA-style squeeze over time as company fundamentals improve. Given $HIMS was once trading at $70 and now it's back at $22, with both legal clarity + revenue acceleration. I would personally hop on the boat on Monday to add fuel to the fire to see where this heads. Could be history in the making.
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特斯拉当时受监管影响大，与特朗普关系利于加速FSD等立法。
@k_a_y_b_e_e_ @yuntungshieh 当时 $TSLA 的情况更多是与监管(regulatory)相关。而且埃隆与特朗普的关系将允许他的公司加速许多围绕全自动驾驶(FSD)、SpaceX发射以及或许有利的税收优惠或抵免的立法。
原推 ↗英文原文
@k_a_y_b_e_e_ @yuntungshieh $TSLA at the time was moreso regulatory related. And that Elon's ties with Trump would allow his companies to speed up a lot of legislation around FSD, SpaceX launches, and perhaps beneficial tax benefits or credits.
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PLTR估值极高，若政府更迭其政府合同溢价或消失。
$PLTR 拥有极高的溢价，其远期市盈率(Forward P/E)超过三位数。如果该公司能在特朗普政府领导下保持这种复合增长，这种估值会显得稍微合理一些。但我看到最大的风险因素是，人们没有将每四年一次的政府更迭（转向民主党）纳入考量。几年前，Palantir 与 $TSLA 和比特币一起是核心的“特朗普当选”交易标的。但如果政府更迭，而 CEO 又是民主党的高调批评者，那么特斯拉和 $PLTR 拥有的政府合同“内部人溢价”可能会消失。
原推 ↗英文原文
$PLTR has extreme premiums with more than triple digit forward p/e. It would make a little bit more sense if they can keep compounding like that under a Trump administration. But the biggest risk factor I see that people aren't factoring in is administration shift to Democrats in 4 year cycles. Palantir was the core "Trump Election" trade few years back alongside $TSLA and Bitcoin. But if the administration shifts with the CEO being an outspoken critic of democrats, then that "insider premium" for gov contracts that Tesla and $PLTR have might disappear.
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电力成美国AI最大瓶颈，看好$XLU因降息及基建资本支出重估。
美国AI最大的瓶颈： 电力与电网容量。 最近，美国各大AI公司的CEO都反复强调这一点。 以下是从$MSFT到$AMZN的名单： 黄仁勋（$NVDA）：“在最底层：能源。中国的能源总量是我们的两倍，而我们的经济体量比他们大。这对我来说毫无道理……没有能源，你就无法发展任何新产业。”（CSIS活动） 埃隆·马斯克（$TSLA / xAI）：“价值数十亿美元的最先进AI硬件。处于闲置状态。不是因为芯片不工作。而是因为电力不足，无法运行它们。”（最近播客） 山姆·阿尔特曼（OpenAI）：“满足全球AI需求最终需要数百吉瓦的电力。谁控制了电力，谁就控制了AI价值链。”（最近采访） 安迪·贾西（$AMZN）：“[我们]最大的单一制约因素是电力。我不相信我们在几个季度内就能完全解决我们所需的需求容量。”（亚马逊财报电话会议） 萨提亚·纳德拉（$MSFT）：“我们现在面临的最大问题不是算力过剩，而是电力。也就是能否在靠近电力的地方快速完成建设。如果你做不到，你可能会有一堆无法插电使用的芯片库存。”（BG2 Pod） 每一位美国AI实验室的CEO都在告诉你美国人工智能的主要瓶颈是什么： 发电和扩大电网。 因此，我们可能会看到$XLU中无聊的公用事业和电力生产商因为以下原因被强烈重估： 1. AI推理+训练极端扩张以及对GW级数据中心的需求。 2. 超大规模云厂商向该领域投入极端资本支出。 3. 降息顺风。 最重要的是： 作为一个国家，美国必须重建其电网以赢得地缘政治军备竞赛。 （该推文引用了 @aleabitoreddit 的推文，引用内容仅供理解语境）: 如果我要在1年内将$10万变成$100万。 我会选择：$XLU 2年期虚值看涨期权 2026年是现代历史上市场首次同时具备： - 利率下降 - AI推理+建设 通过映射，XLU有潜在~40%的涨幅（虚值期权1000%+）。 这是我的宏观论点： 1. 降息 当美联储在不引发衰退的情况下降息时，公用事业债务成本降低，机构将低收益现金转向公用事业股息。 这导致估值倍数立即扩张： 1995年：标普公用事业板块在1995年回报+31.3%，1996年再+12.1% - 累计回报~47% 2019年中周期降息：结果：XLU在那一年产生了+25.9%的总回报 标准的软着陆降息周期自然映射到25%到30%的基准回报。而我们要进入2026年的新降息周期。 2. 基础设施超级周期资本支出 基础设施资本支出为该板块带来复合盈利增长。继2000年代初之后，公用事业进入了一个巨大的资本支出周期以现代化老化的电网基础设施。 因为他们不断支出并扩大其保证费率基数，XLU在2004年回报+23.5%，2005年+16.3%，2006年+20.8%，2007年+18.4%。 然而这一次： 2026年8000多亿美元的AI建设使得2004年的电网现代化看起来像零钱。 所以你有来自#1降息的估值倍数扩张（+15%到+20%）。来自#2资本支出历史数据的每股收益增长（+18%到+20%）。仅从历史教训来看。 但2026年是历史上AI使用最独特的时刻。 仅从我自己的模型预测来看，所有以前的估计可能都因AI极端扩张而错误（例如DOE/LBNL预测）： 超大规模云厂商资本支出流入（支出）（亚马逊、微软、Meta、谷歌、甲骨文）到数据中心估计： 2024年：2200亿美元 2025年：3500亿美元 2026年：5500亿美元 2027年：8000亿美元 2028年：1.2万亿美元（4年增长：+445%） 美国数据中心电力使用： 2024年：190 TWh 2025年：280 TWh 2026年：430 TWh 2027年：650 TWh 2028年：980 TWh（4年增长：+415%） AI消耗的总美国电力百分比： 2024年：美国电网的4.5% 2025年：6.6% 2026年：8.2-10.2% 2027年：13.4-15.4% 2028年：21.3-23.3% 劳伦斯伯克利国家实验室和能源部似乎在AI使用上偏离了（他们预测到2028年约为12%） 物理电网容量需求： 2024年：18 GW 2025年：35 GW 2026年：65 GW 2027年：105 GW 2028年：160 GW 基本上你可以看到2026年到2028年是拐点，而2024-2025年是爬坡的缓慢年份。 然后是独立公司的“绝望溢价”。因为电网容量已售罄，科技巨头向公用事业支付巨额溢价以插队。例如PJM互联（弗吉尼亚“数据中心巷”），容量价格从2024年的每兆瓦日28.92美元飙升至2026/2027年令人难以置信的329.17美元。 $VST或Constellation是ETF中独立电力生产商的大权重。 纵观全局，你可以看到从2026年（现在）到2028年的极端扩张，以及用于建设基础设施的极端资本支出，与往年相比。 2026年是现代市场历史上第一次所有因素同时为无聊的电网/电力板块发力，AI是最大的顺风。 正如埃隆所引用的：“价值数十亿美元的最先进硬件。处于闲置状态。不是因为芯片不工作。而是因为电力不足，无法运行它们”。 再次强调，2026年是一个绝对的历史异常值，由于AI和做市商已将历史隐含波动率（极度平坦~14%-16%）计入虚值看涨期权。 我们看到AI推理（超出之前的测量）以及训练（根据OpenAI今天的报告）的爆发。 所以地球上最无聊的板块（电力/电网），可能会因为超大规模云厂商/政府支出用于电网改进 -> AI推理/训练的极端电力消耗 -> 降息和其他因素，成为主要反弹的起点。 这只是我的个人论点，期权带有风险并放大下行风险。这些也是我自己的预测，不确定是否会超过或低于它们。 但基本上： 2026年是一个绝对的历史异常值。 美国的新瓶颈是电力。 来自AI的极端需求，极端资本支出，降息： $XLU看起来是最好的暴露交易。 时间会证明这是否正确与否。
原推 ↗英文原文
The biggest United States AI bottleneck: Power and Grid Capacity. This has been echoed by the CEOs of every major US AI company recently. Here's the list from $MSFT to $AMZN: Jensen Huang ( $NVDA ): "At the lowest level: energy. China has twice the amount of energy we have as a nation, and our economy is larger than theirs. It makes no sense to me... There are no new industries you can grow without energy." (CSIS event) Elon Musk ( $TSLA / xAI): "Billions of dollars of the most advanced AI hardware ever built. Sitting dark. Not because the chips don’t work. Because there isn’t enough electricity to run them." (Recent Podcast) Sam Altman (OpenAI): "Meeting global AI demand will eventually require hundreds of gigawatts of power. Whoever controls power controls the AI value chain." (Recent Interview) Andy Jassy ( $AMZN ): "[Our] single biggest constraint is power. I don't believe that we will have fully resolved the amount of capacity we need for the demand that we have in a couple of quarters." (Amazon Earnings Call) Satya Nadella ( $MSFT ): "The biggest issue we are now having is not a compute glut, but it's power. It's sort of the ability to get the builds done fast enough close to power. So, if you can't do that, you may actually have a bunch of chips sitting in inventory that I can't plug in." (BG2 Pod) You have every single CEO of American AI labs telling you what the major bottlenecks are for US Artificial Intelligence: Generating the Energy, and expanding the Grid. So, we might see boring utilities and power producers in $XLU be strongly re-rated because of: 1. AI inference + training extreme ramp and demand for GW-scale DCs. 2. Hyperscaler extreme capex pouring into the sector. 3. Rate Cut tailwinds. And most of all. That fact that: The United States as a country has to rebuild its grid to win a geopolitical arms race.
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OpenAI警告电力是AI竞争核心瓶颈，看好美国能源基建股。
@toptickcrypto 存在多个瓶颈。电力/电网是其中最大的瓶颈之一。 OpenAI 就 Deepseek 蒸馏问题向国会发送了一份备忘录： “维持美国在 AI 领域的优势，取决于我们能否可靠地大规模生成和输送电力。” 电力输送 - $VRT, $ETN, $PWR, $WMB, $KMI 一级能源供应商：$CEG, $VST, $TLN, $GEV, $NEE, $BEPC, $D 电网-能源/存储 - $TSLA, $FLNC, $NRGV, $BE 能源：$TE, $FSLR, $NRG 这对这些公司来说是一个被重申的顺风因素。 而对于那些已经锁定吉瓦(GW)级容量的公司，如 $IREN, $NBIS, $WULF 和 $CIFR，则存在二级顺风因素。 备忘录的核心问题围绕知识产权盗窃和国家安全问题。但关于维持优势的最大警告是能源。 OpenAI 警告国会，2024年中国新增了429吉瓦(GW)的电力容量，这超过了美国整个电网的三分之一，也超过了全球电力增长的一半。他们认为，如果没有对美国电网进行激进扩张，中国“蛮力”式的能源建设最终将使其超越西方的 AI 能力。 光子学(Photonics)、先进封装(Advanced Packaging)和存储(Memory)是目前增长最快的三个瓶颈。然而，OpenAI 明确警告美国政府，谁能产生最多的电力，谁就能赢得 AI 竞赛。 他们的信息是：投资美国能源。
原推 ↗英文原文
@toptickcrypto There's multiple bottlenecks. Power/grid is one of the largest ones. https://t.co/rIKoKRyQOu
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OpenAI警告国会：电力供应是AI竞争核心瓶颈，需投资美国能源。
OpenAI 就 Deepseek 蒸馏问题向国会发送了一份备忘录： “维持美国在人工智能领域的优势，取决于我们能否可靠地大规模生成和输送电力。” 电力输送 - $VRT, $ETN, $PWR, $WMB, $KMI 一级能源供应商：$CEG, $VST, $TLN, $GEV, $NEE, $BEPC, $D 电网能源/储能 - $TSLA, $FLNC, $NRGV, $BE 能源：$TE, $FSLR, $NRG 这对这些公司来说是一个被重申的顺风因素。 而对于那些已经锁定吉瓦(GW)级容量的公司，如 $IREN, $NBIS, $WULF 和 $CIFR，则存在二级顺风效应。 备忘录的核心议题围绕知识产权盗窃和国家安全问题。但关于维持优势的最大警告在于能源。 OpenAI 警告国会，2024年中国新增了429吉瓦(GW)的电力容量，这超过了美国整个电网的三分之一，也超过了全球电力增长的一半。他们认为，如果没有对美国电网进行激进扩张，中国“蛮力”式的能源建设最终将使其超越西方的AI能力。 光子学(Photonics)、先进封装(Advanced Packaging)和存储(Memory)是目前增长最快的三个瓶颈。然而，OpenAI 明确警告美国政府，谁能产生最多的电力，谁就能赢得AI竞赛。 他们的信息是：投资美国能源。
原推 ↗英文原文
OpenAI sent a memo to congress regarding Deepseek distillation: "Sustaining the American advantage on AI depends on depends on whether we can reliably generate and deliver power at scale." Power Delivery - $VRT, $ETN, $PWR, $WMB, $KMI Tier-1 Energy Providers: $CEG, $VST, $TLN, $GEV, $NEE, $BEPC, $D Grid-Energy / Storage - $TSLA, $FLNC, $NRGV, $BE Energy: $TE, $FSLR, $NRG This is a tailwind reiterated for these companies. And there's a second-order tailwind for companies that already secured GW capacity like $IREN, $NBIS, $WULF, and $CIFR. The core issue of the memo was around IP theft and national security issues. But the largest warning about sustaining an advantage was Energy. OpenAI warning Congress that in 2024, China added 429 Gigawatts (GW) of new power capacity, which was more than a third of the entire US grid and more than half of global electricity growth. Without a radical expansion of the American power grid, they believe China’s "brute force" energy buildout will eventually allow them to surpass Western AI capabilities. Photonics, Advanced Packaging, and Memory are three fastest growing bottlenecks right now. However, OpenAI explicitly warned the U.S. government that whoever generates the most power wins the AI race. Their message: Invest in American Energy.
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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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AI 驱动下，三星和海力士营业利润增速惊人，有望在 2027 年追平或超越美股巨头。
全球最盈利公司排名（Mag 7 vs. 世界） 2025->2026->2027 年营业利润(Operating Income)预测。 #1: $NVDA (美国, 4.4T 市值) 🇺🇸 ~1350 亿 -> 1865 亿 -> 2401 亿美元 #2 三星电子 (韩国, 8200 亿市值) 🇰🇷 ~302 亿 -> ~1700 亿 -> ~2267 亿美元 #3 $MSFT (美国, 2.9T 市值) ~1285 亿 -> 1530 亿 -> 1815 亿美元 #4 $GOOGL (美国, 3.7T 市值) ~1290 亿 -> 1420 亿 -> 1730 亿美元 #4 海力士 (韩国, 4100 亿市值) ~327 亿 -> ~1240 亿 -> ~1610 亿美元 #5 $APPL (美国, 3.76T 市值) 1331 亿 -> 1460 亿 -> 1605 亿美元 #6 $AMZN (美国, 2.13T 市值) 800 亿 -> 1050 亿 -> 1365 亿美元 #7 $Meta (美国, 1.62T 市值) 833 亿 -> 970 亿 -> 1215 亿美元 #8 $TSLA (美国, 1.31T 市值) 44 亿 -> 80 亿 -> 240 亿美元 韩国 8200 亿市值的三星电子预计将在 2027 年在营业利润上追平 $NVDA。 同时，海力士预计将在 2027 年在营业利润上超越 $APPL 和 $AMZN。 主要结论是，由于人工智能(AI)的加速部署，美国超大规模云服务商和韩国股票的增长令人惊叹。
原推 ↗英文原文
Global ranking of the most profitable companies in the world (Mag 7 vs. World) Projections for 2025->2026->2027 (Operating Income). #1: $NVDA (USA, 4.4T MC) 🇺🇸 ~$135.0B -> $186.5B -> $240.1 Billion #2: Samsung Electronics (Korea, $820B MC) 🇰🇷 ~$30.2B -> ~$170B -> ~$226.7 Billion #3 $MSFT (USA, $2.9T MC) ~$128.5B -> 153.0B -> $181.5 Billion #4 $GOOGL (USA, $3.7T MC) ~$129.0B -> $142.0B -> $173.0B #4 Sk Hynix (Korea, $410B MC) ~$32.7B -> ~$124B -> ~$161.0 Billion #5 $APPL (USA, $3.76T MC) $133.1B -> $146.0B -> $160.5B #6 $AMZN (USA, $2.13T MC) $80.0B -> $105.0B -> $136.5B #7 $Meta (USA, $1.62T MC) $83.3 -> $97.0B -> $121.5B #8 $TSLA (USA, $1.31T MC) $4.4B -> $8.0B -> $24.0B Samsung Electronics, a $820B company in Korea is projected to catch up to $NVDA in 2027 in operating income. Meanwhile Sk Hynix is projected to overtake both $APPL and $AMZN in operating income in 2027. The main takeaway is that the growth of both US hyperscalers and South Korean equities is astounding due to Artificial Intelligence ramp.
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分享$LASR大涨30%+，看好其定向能激光技术在国防及机器人领域的应用潜力。
$LASR 自上个月我提及以来已上涨近 30%+。显然，市场（和男人们）真的很喜欢那种能像拦截高超音速导弹一样击落任何目标的“死光”激光束。不难想象国防部将激光束安装在 $TSLA Optimus 机器人上并派它们去参战。如果美国正在从太空建造《星球大战》中的死星或《终结者》中的天网，这家公司就是那个核心。话虽如此，我目前并未持有该股票，但认为其他人可能会欣赏这类低调的公司。定向能激光（Directed Energy Lasers）确实非常未来感十足且酷炫。
原推 ↗英文原文
$LASR is up almost 30%+ now since I mentioned it last month. Apparently markets (and guys) really like death ray laser beams that shoot anything down like hypersonic missiles. It’s not too hard to imagine the DoD attaching laser beams to $TSLA Optimus Robots and sending them off to war. If America is building the Death Star in space from Star Wars or the Terminator from Skyney, this company would be it. That being said, don’t have any right now, but thought others might appreciate under the radar companies like this. Energy directed lasers are just so futuristic and cool.
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马斯克指出Optimus三大瓶颈：智能、手部及制造，暗示美韩主导核心部件。
$TSLA Optimus 瓶颈 TLDR - Elon Musk 采访： “人形机器人只有三件难事”： 1. 现实世界智能（例如 Dojo，$NVDA，三星机电） 2. 手部（~ 可能是 $VPG） 3. 规模化制造（~ 浙江华正，宁波拓普，Everwin） 关于手部： Elon 声称 $TSLA Optimus 的人手自由度比其他机器人更多。 特斯拉“设计了定制执行器、齿轮、功率电子、控制、传感器。这方面没有供应链。” Elon 在采访中基本上强调手部是机器人最涉及知识产权且最复杂的部分。Elon 重申特斯拉解决了中国其他人形机器人今天尚未解决的问题。 这使得西方制造商参与这一特定 BOM 部分的可能性略微增加（相比此前报道的中国供应链）。 关于现实世界智能方面： Elon 聚焦于：“惯性测量、GPS 信号、其他数据，将其与视频结合，主要是视频，然后输出控制命令” - 训练 ~ Cortex / Dojo 供应商，$NVDA。 - 视频与视觉：三星机电？ - IMU + GPS：$STM 或博世？ 规模化制造： 正如朝鲜日报报道，身体部分可能来自中国供应链。 从推理来看似乎是： 大脑 + 高端组件 = 美国/韩国 身体是中国（三花，拓普等）。 但再次强调，这并未确认，只是可能的供应链映射。 无论如何，Elon 为投资者指出了人形机器人量产过程中的三个瓶颈投资方向。
原推 ↗英文原文
$TSLA Optimus Bottleneck TLDR - Elon Musk Interview: "There's only three hard things for humanoid robots": 1. Real World Intelligence (eg. Dojo, $NVDA, Samsung Electro-Mechanics) 2. The Hand (~ possibly $VPG) 3. Scale Manufacturing ( ~ Zhejiang Huazheng, Ningbo TuoFu, Everwin) For the hand: Elon claimed that $TSLA Optimus has the more degrees of freedom with a human hand than other robotic humanoid. Tesla "designed custom actuators, gears power electronics, controls, sensors. There is no supply chain for this." Elon basically focused on the hand is the most IP-sensitive and complex part of the robot during the interview. Elon reiterated that Tesla solved issues with the hand that no other humanoids in China have today. This makes things slightly more probable that Western manufacturers are involved (compared to Chinese supply chains from earlier reports), with this part of this specific BOM. For the Real World Intelligence Aspect: Elon focused on: "Inertial measurements, GPS signals, other data, combining that with video, primarily video, and then outputting the control commands" - Training ~ Cortex / Dojo suppliers, $NVDA. - Video & Vision: Samsung Electro-Mechanics? - IMUs + GPS: $STM or Bosch? Scale Manufacturing: Likely Chinese supply chains as reported, by Chosun for the body. From inference looks like: Brain + high-end components = US/Korean Body is Chinese (Sanhua, Tupou, etc). But again, this is not confirmed, just possible supply chain mapping. Regardless, Elon gave investors three bottlenecks to invest in for the humanoid ramp.
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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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特斯拉Optimus或分中美双供应链，高端用VPG，量产用中国。
情况比这更微妙。根据我的研究，为了实现 $20k Optimus 的廉价大规模生产，特斯拉可能正在设计两种不同的型号。大规模生产的型号可能仅采用中国供应链。然而，面向大众市场的中国传感器尚未完全匹配美国高成本、超专业化的精密传感技术。$VPG 可能被用于高端或高精度的 Optimus 版本，例如特斯拉超级工厂级别/工业级版本。因此，首批数千台特斯拉人形机器人可能会使用 $VPG。这仅仅是关于可能的大规模生产/消费级版本，这些版本很可能为了追求最低成本而交由中国制造商生产。这也发出了中国对美国本土机器人供应链构成威胁的信号。
原推 ↗英文原文
It’s a lot more nuanced than that. From my research, for cheap mass production $20k Optimus, it’s possible Tesla is designing two different models. The mass production models may just be Chinese supply chains. However, the mass-market Chinese sensors haven't quite matched US high cost ultra specialized precision sensing. $VPG may be used for high-end or high precision Optimus versions, like the Tesla giga factory grade/industrial versions. So the first thousands of Tesla humanoids may use $VPG. This was just talking about possible mass production/consumer grade versions that likely went to China manufacturers for the lowest cost possible. This also signals the threat China has on Made in America robotics supply chains.
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特斯拉Optimus量产供应链或在中国，成本大幅降低威胁美国制造。
看起来 $TSLA Optimus 的大规模量产供应链将在中国制造。 - 浙江华正（热管理） - 宁波拓普（执行器） - 埃文（传感器） 本周的一份新报告将这些公司列为潜在供应商。 据报道，由于中国的补贴和低成本制造，Optimus 的成本从超过 10 万美元降至 4.5 万美元以下，“美国制造”的机器人供应链可能受到威胁。
原推 ↗英文原文
It looks like $TSLA Optimus supply chains for mass production will be manufactured in China. - Zhejiang Huazheng (thermal control) - Ningbo TuoFu (actuators) - Everwin (sensors). Were named as likely suppliers from a new report this week. “Made in America” robotics supply chains are likely threatened as China subsidies and low cost manufacturing reportedly brings Optimus costs from over $100K+ down to <$45k.
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比特币作为风险管理工具，及特斯拉垂直整合对VPG的供应链风险。
@Bonek2801 出于风险管理目的。我宁愿在约 7 万美元价位持有 50% 的比特币，也不愿持有现金以降低波动性。此外，$VPG 的下行风险在于 $TSLA 自行制造传感器并实现垂直整合，从而将其排除在供应链之外。$GOOGL 与 $LITE 在光学共封装(CPO)方面的看空逻辑也类似。
原推 ↗英文原文
@Bonek2801 Risk management purposes. I’d rather hold 50% in Bitcoin around $70K than sit on cash to lower volatility. Also the downside risk of $VPG is $TSLA creating their own sensors and vertically integrating it away. Similar bear case with $GOOGL and OCS with $LITE though.
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修正对$SSYS看法，转向偏好高BOM价值的$VPG以捕捉机器人量产红利。
之前在 $SSYS 上犯了个错，误以为他们为机器人原型打印框架。 他们更像是机器人领域的 $ASML（阿斯麦）。 关于机器人量产爬坡（每生产一个人形机器人），我发过一篇帖子，将 $SSYS 替换为 $VPG，并引用了 @SigniaCapital 关于 Optimus 应用的分析。 其中提到，每生产一台机器人（$TSLA Optimus），他们预计每台获利约 500-1200 美元。 话虽如此，我确信 $SSYS 是个不错的长线标的，毕竟有位著名的政治家看准了一切，其投资组合中持有 $SSYS。 但我不像以前那样看好了，我更希望直接参与具有高物料清单(BOM)价值的机器人量产环节，而非初期的原型制作。
原推 ↗英文原文
So made the mistake earlier with $SSYS regarding the fact they print the frames for the prototypes of the robotics. They're more like an $ASML for robotics. For the robotics ramp (each humanoid produced), I made a post switching $SSYS with $VPG and quoted @SigniaCapital's analysis regarding applications for Optimus. There was a quote that for each robot ( $TSLA Optimus) produced, they make est. ~$500-$1.2K per robot. That being said, I'm sure it's a good long, there's one famous politician that got everything right and has $SSYS in their portfolio. But I'm not as bullish as I once was I wanted exposure to the direct robotics ramp with high BOM rather than initial prototyping.
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看好$VPG作为人形机器人核心供应商，认为2026年是拐点并建立多头头寸。
@Cheva28789724 这是我之前关于 $VPG 的分析文章。 https://t.co/Vno2bP3wCV （该推文引用了 @aleabitoreddit 的推文，引用内容仅供理解语境）: $VPG 是最不为人知的机器人供应链股票之一。 然而，它可能是对机器人 Humanoid 放量最不对称的单一敞口，特别是针对： - $TSLA Optimus ~ Figure AI 因为这家市值 5.8 亿美元的公司生产： 估计占每个人形机器人 BOM（物料清单）成本的 3-9%。 如果埃隆在 2027 年实现其德克萨斯州 Gigafactory 1000 万台的生产目标，仅来自 $TSLA 的收入可能每年达到 85 亿美元（850 美元中位数 * 1000 万台）。 这是基于 $VPG CEO 关于每机器人价值捕获 500-1200 美元（850 美元中位数）的言论，以及埃隆雄心勃勃的生产目标预测。 再次强调，这种数学计算极具投机性，但埃隆称规模化后每个人形机器人成本为 2-3 万美元，你可以推导出 $VPG 从每台特斯拉机器人中估计获得 ~3%-9%+ 的 BOM 份额（如果这真的发生的话）。 如果你考虑到埃隆·马斯克说“特斯拉最终约 80% 的价值可能来自 Optimus 机器人”：对于这家在机器人供应链中至关重要的小公司来说，这看起来是机器人放量的极佳敞口。 我认为市场还忽略了一点，即未将低端企业利润率纳入混合利润率估算：~40%。 然而，规模化后的人形机器人特定毛利率预计为 50% 至 55%（随着当前机器人放量，混合利润率可能会显著增加）。 他们的集成执行器/传感器模块（传感器 + 外壳 + 电子元件）很可能直接与人形机器人敞口挂钩（包含这些复杂组件的测量系统部门），CEO 在财报电话会议上表示该部门实现“55% 左右”的利润率。 在埃隆于 2028 年实现 1000 万人形机器人预测的牛市情景下（单一客户，不包括 Figure、OpenAI 或其他潜在客户） 85 亿美元收入以 55% 利润率计算： - 20 倍市盈率将是 476 亿美元 - 30 倍市盈率 833 亿美元 从 5.8 亿美元市值起步。 听起来很愚蠢，但当我看到 $SMCI 在服务器机架拉涨前（3 美元 -> 113 美元）或 $SNDK 的拉涨（30 美元 -> 453 美元）时，这看起来是可能的。 再次强调，这是投机性的最佳可能情景，但经营杠杆才是真正的主线故事。 所以我认为，如果机器人放量的星星排列得当，这家 5.8 亿美元的小公司很可能被强烈重估。 现在看下行风险： - 另一个主要的人形机器人提供商可能是 Figure，因为时间线匹配。但这尚未确认。（不认领任何映射研究，它们由其他分析师完成）。这些数字是基于 Citron 等第三方估计的假设模型，如果有竞争对手，毛利率可能会压缩，或者收入放量可能无法实现。 - $TSLA 可能自 2022 年以来一直在使用 $VPG 并开始放量。始终存在他们自行研发专利技术/材料并放弃客户的风险。这种牛市情景与特斯拉 Optimus 放量挂钩，始终存在被放弃的风险，市场可能会对此定价。 - 再次强调，这是一个规模化的人形机器人博弈。如果埃隆的预测过于雄心勃勃并面临延迟，这可能会像 2025 年一样停滞（尽管 2025 年仍有 ~85% 的回报）。 但 TLDR（太长不看）： 我的观点是，像 Citron 这样的机构分析师太早了。 然而，鉴于 OpenAI 上周进军机器人领域： 我认为 2026 年将是机器人的拐点，而 $VPG 很可能捕获对特斯拉和人形机器人放量的最佳敞口。 尤其是当一家小公司很可能占据每个部署机器人的高比例 BOM 成本和高毛利率时： 我已经建立多头头寸，看看这会走向何方。当然请自行研究（DYOR），我只是想分享我是如何建立对这个多头的信念的。
原推 ↗英文原文
@Cheva28789724 This was my write up about $VPG earlier https://t.co/Vno2bP3wCV
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VPG因供应特斯拉擎天柱机器人组件，5日涨23%，被视为机器人领域核心标的。
$VPG 强势领涨，5日涨幅+23%。 对于不了解的朋友，埃隆·马斯克已将特斯拉工厂改造为擎天柱(Optimus)的生产线，计入特斯拉($TSLA)的额外收益(ER)。 这家公司每台机器人的估算中位收入为850美元。 100万台擎天柱 = 约8.5亿美元营收 1000万台擎天柱 = 约85亿美元营收 这是我的机器人领域“登月”级选股标的。观察并学习 https://t.co/a8J8aUtlSL
原推 ↗英文原文
The $VPG hard carry, +23% 5D. For people that don’t know, Elon Musk converted Tesla factories for Optimus production on $TSLA ER. This company makes est. $850 midpoint/robot. 1M Optimus = ~$850M revenue 10M Optimus = ~$8.5B revenue My robotics moonshot pick. Watch and learn https://t.co/a8J8aUtlSL
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警告HFT抢跑散户，但坚持发布研究不受算法干扰。
如今，高频交易(HFT)会追踪我的每一条帖子。昨天它对市值57亿美元的$LEU也做了同样的操作。在我将$VPG与$TSLA的财报联系起来后，$VPG昨天上涨了9%。话虽如此，这看起来只是抢跑散户然后反向卖出。所以给其他人提个醒。如果像$OSS那样长期上涨，那只是信息发现。无论如何，我不会让算法阻碍我发布任何研究结果。
原推 ↗英文原文
HFT follow every one of my posts nowadays. It did the same for $LEU yesterday which is a $5.7B company. $VPG went up 9% yesterday after I quoted it with $TSLA earnings. That being said it looks like it’s just frontrunning retail -> selling back. So just a warning to other people. If it goes up longer term like $OSS that’s just information discovery Regardless I’m not going to let algorithms discourage me from posting any findings
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看好$VPG作为人形机器人核心供应商，认为2026年是拐点并建立多头仓位。
@StocksSoccer 我确实持有仓位，这是我之前对 $VPG 的看法： $VPG 是最不为人知的机器人供应链股票之一。 然而，它可能是对机器人人形机器人（Humanoid）放量最不对称的单一敞口，涉及： - $TSLA Optimus - Figure AI 因为这家市值5.8亿美元的公司制造： 估计占每个人形机器人物料清单(BOM)成本的3-9%。 如果埃隆在2027年实现德州超级工厂1000万台的生产目标，仅来自 $TSLA 的收入可能每年达到85亿美元（850美元中位数 * 1000万台）。 这是基于 $VPG CEO 关于每机器人价值捕获500-1200美元（850美元中位数）的言论，以及埃隆雄心勃勃的生产目标预测。 再次强调，这种算法极具投机性，但埃隆称规模化后每机器人成本为2-3万美元，你可以推导出 $VPG 从每个特斯拉机器人中估计获得~3%-9%+的BOM份额（如果这真的发生）。 如果你考虑到埃隆·马斯克说“特斯拉最终约80%的价值可能来自Optimus机器人”：对于这家在机器人供应链中至关重要的小公司来说，这看起来是机器人放量的极佳敞口。 我认为市场还忽略了将低端企业利润率纳入混合利润率估算：~40%。 然而，规模化的人形机器人特定毛利率预计为50%至55%（随着当前机器人放量，混合利润率可能会显著增加）。 他们的集成执行器/传感器模块（传感器+外壳+电子元件）很可能直接与人形机器人敞口挂钩（包含这些复杂组件的测量系统部门），CEO在财报电话会议上表示该部门实现“55%左右”的利润率。 在埃隆于2028年实现1000万台人形机器人预测的牛市情景下（单一客户，不包括Figure、OpenAI或其他潜在客户） 85亿美元收入的55%利润率： - 20倍市盈率(P/E)将是476亿美元 - 30倍市盈率 833亿美元 从5.8亿美元市值起步。 听起来很愚蠢，但当我看到 $SMCI 服务器机架拉涨前（3美元->113美元）或 $SNDK 的拉涨（30美元->453美元）时，这看起来是可能的。 再次强调，这是投机性的最佳可能情景，但经营杠杆才是真正的主线故事。 所以我认为，如果机器人放量的星星排列得当，这家5.8亿美元的小公司很可能被强烈重估。 现在看下行风险： - 另一个主要的人形机器人提供商可能是Figure，因为时间线匹配。但这尚未确认。（不认领时间线匹配研究的功劳，那是其他分析师做的）。这些数字是基于Citron等第三方估计的假设建模，如果有竞争对手，毛利率可能会压缩，或者收入放量可能不会如期进行。 - $TSLA 可能自2022年以来就在使用 $VPG 并开始放量。始终存在他们内部掌握专利技术/材料并抛弃客户的风险。这种牛市情景与特斯拉Optimus放量挂钩，始终存在被抛弃的风险，市场可能会对此定价。 - 再次强调，这是一个规模化人形机器人博弈。如果埃隆的预测过于雄心勃勃并面临延迟，这可能会像2025年一样停滞（尽管2025年仍有~85%的回报）。 但总之(TLDR)： 我的观点是，像Citron这样的机构分析师太早了。 然而，鉴于OpenAI上周进军机器人领域： 我认为2026年是机器人的拐点，$VPG 很可能捕获对特斯拉和人形机器人放量的最佳敞口。 尤其是当一家小公司很可能占据每个部署机器人的高比例BOM成本和高毛利率时： 我已经建立多头仓位来看看这会走向何方。当然请自行研究(DYOR)，我只是想分享我是如何建立对这个多头的信念的。
原推 ↗英文原文
@StocksSoccer I do own positions, this was my take on $VPG earlier https://t.co/OE9toKfSbh
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马斯克宣布转产Optimus，$VPG作为核心供应链标的，潜在营收规模巨大。
马斯克在$TSLA财报电话会议中表示：“我们将用一条年产能高达100万台Optimus机器人的生产线，取代弗里蒙特工厂的Model S和Model X生产线。” 针对$VPG（市值5.89亿美元）做一些粗略估算： 100万台 * 850美元中位数（CEO在财报中引用的每台机器人500-1200美元区间）= 短期年营收8.5亿美元。 如果按马斯克1000万台的目标推算，年营收可达85亿美元…… 毛利率在50%到55%之间。 对于这样一家小公司来说，数据相当有趣。
原推 ↗英文原文
Elon Musk from $TSLA earnings: "We are replacing the Model S and Model X production line in Fremont with a line capable of producing up to 1 million Optimus units per year" Just some napkin math on $VPG (a $589M company): 1M * $850 midpoint ($500-$1.2k per robot quoted by CEO from ER) = $850m revenue/year near term. If you scale that to Elon's 10m target, $8.5B revenue/year... Off 50% to 55% gross margins. Pretty interesting figures for such a small company.
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特斯拉转产Optimus机器人，利好相关供应链。
仅供参考：市场经常忽略财报电话会议中的声明（如 $TSLA）及其二阶效应（往往在很久之后才将其计入价格）。 这对于像 $VPG 这样的 Optimus 机器人供应链来说，可能是最大的新闻之一。 特别是 Optimus 现在将开始量产，而且 Elon 已将 Model S 和 X 的专用工厂转为生产 Optimus。
原推 ↗英文原文
FYI: Markets often miss statements in earnings calls like $TSLA and their second order effects (price them in much later) This is probably one of the biggest news for robotic supply chains of Optimus like $VPG. Especially that Optimus will ramping up now and that Elon has dedicated factories from Model S and X.
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质疑特斯拉Optimus量产进度，认为最新言论暗示延迟。
@jayjay12246 我的意思是，鉴于埃隆两天前表示他们已在弗里蒙特工厂正式开始了“Optimus Gen 3 (V3) 人形机器人的大规模生产(Mass Production)”，我以为会早一些。但他今天的言论暗示存在延迟，所以真的不太确定。 https://t.co/qxSZxmYsbt
原推 ↗英文原文
@jayjay12246 I mean I thought it would be earlier given Elon said 2 days ago that they've officially started mass production "Mass Production Optimus Gen 3 (V3) humanoid robot at its Fremont". But his statements today imply delays, so really not quite sure. https://t.co/qxSZxmYsbt
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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 $4.23 Billion monopoly that every tech company in the world is fighting over: A random Japanese Yarn Spinner. Disclosure: I own positions.
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作者看好$VPG为人形机器人拐点标的，类比$SNDK/$SMCI早期，已建仓。
看来市场开始关注 $VPG 了。 这是我机器人板块的首选股。 它让我想起当前内存行情启动前 $30 的 $SNDK，最终涨至 $470。 或者 AI 建设行情启动前 $1.3 的 $SMCI，最终涨至 $100。 这可能是人形机器人行业的拐点。 https://t.co/POgwnIJyu8
原推 ↗英文原文
Looks like markets are starting to find out about $VPG. This is my top robotics sector stock. And reminds me of $SNDK at $30 before current memory rally to $470. Or $SMCI at $1.3 before the AI buildout rally to $100. This may be the inflection point for robotics humanoids. https://t.co/POgwnIJyu8
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解析特斯拉机器人供应链瓶颈，强调寻找早期Alpha而非跟风。
我通常不会回复这种别有用心的诱导性问题，但我正在发布关于与特斯拉Optimus机器人相关的机器人供应链股票的信息综合。不幸的是，我试图发现阿尔法（Alpha），以便在早期找到下一个从$30涨到$453的$SNDK，而不是像$SOFI、$ASTS、$TSLA那样对已知的金融科技主题进行多头喊单以寻求确认偏误（Confirmation Bias）。人们似乎真的很讨厌当信息被证明方向正确，且像$OSS这样的公司获得60%以上的重估（Re-rated）时。如果信息错误，该公司第二天就会崩盘，而不是像$LPTH那样不断上涨。没人知道市场如何对信息进行定价，它可能是对的也可能是错的。而且我无法控制扫描我帖子的高频交易（HFT）算法。话虽如此，$VPG当天收盘持平。这是一个与机器人量产挂钩的多头头寸，Citron等几家机构去年已经入场。考虑到机器人行业的拐点，它现在只是处于雷达之下。
原推 ↗英文原文
I normally don’t reply to disingenuous leading questions like this but I’m posting information synthesis on robotic supply chain stocks linked to Tesla Optimus. Unfortunately I try and discover alpha to find the next $30->$453 $SNDK at the start rather than bull posting the same known $SOFI, $ASTS, $TSLA finx theme for confirmation bias. And people really seem to dislike when the information turns out to be directionally right and companies like $OSS get re-rated 60%+. If it wasn’t, the company would crash the next day instead of constantly going up like $LPTH Nobody knows how markets price in the information, it could be right or wrong. And I have no control what HFT algorithms do that scan my posts. That being said $VPG ended the day flat. This is a long position tethered to humanoid ramp that several institution like Citron already entered last year. It’s just under the radar now considering the inflection point for robotics.
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看好$VPG作为人形机器人核心供应商，具高BOM占比与非对称收益潜力。
$VPG 是最不为人知的机器人供应链股票之一。 然而，它可能是对机器人人形机器人量产（Humanoid ramp）最具非对称性敞口的标的，尤其是针对： - $TSLA Optimus ~ Figure AI 因为这家市值 5.8 亿美元的公司： - 估计占每个人形机器人物料清单（BOM）成本的 3-9%。 如果埃隆·马斯克在 2027 年实现德州超级工厂年产 1000 万台的目标，仅来自 $TSLA 的收入可能每年达到 85 亿美元（850 美元中位数 * 1000 万台）。 这是基于 $VPG CEO 关于每机器人价值捕获 500-1200 美元（850 美元中位数）的言论，以及埃隆雄心勃勃的产量预测。 再次强调，这种算法极具投机性，但埃隆称规模化后每人形机器人成本为 2-3 万美元，你可以推导出 $VPG 从每台特斯拉机器人中估计获得 ~3%-9%+ 的 BOM 份额（如果这真的发生）。 如果你考虑到埃隆·马斯克说“特斯拉最终 80% 的价值可能来自 Optimus 机器人”：对于这家在机器人供应链中至关重要的小公司来说，这看起来是机器人量产的极佳敞口。 我认为市场还忽略了一点，即未将低端企业利润率纳入混合利润率估算：~40%。 然而，规模化的人形机器人特定毛利率预计为 50% 至 55%（随着当前机器人量产，混合利润率可能会显著增加）。 他们的集成执行器/传感器模块（传感器 + 外壳 + 电子元件）很可能直接与人形机器人敞口挂钩（包含这些复杂组件的测量系统部门），CEO 在财报电话会议上表示该部门利润率约为“55% 左右”。 在埃隆于 2028 年实现 1000 万人形机器人预测的牛市情景下（单一客户，不包括 Figure、OpenAI 或其他潜在客户） 55% 利润率对应 85 亿美元收入： - 20 倍市盈率（P/E）将是 476 亿美元 - 30 倍市盈率 833 亿美元 从 5.8 亿美元市值起步。 听起来很荒谬，但当我看到 $SMCI 在服务器机架拉升前（$3 -> $113）或 $SNDK 的拉升（$30 -> $453）时，这看起来是可能的。 再次强调，这是投机性的最佳可能情景，但经营杠杆（Operating Leverage）才是真正的主线故事。 所以我认为，如果机器人量产条件成熟，这家 5.8 亿美元的小公司很可能被强烈重估。 现在看下行风险： - 另一个主要的人形机器人提供商可能是 Figure，因为时间线匹配。但这尚未确认。（不认领时间线映射研究的功劳，那是其他分析师做的）。这些数字是基于 Citron 等第三方估计的假设模型，如果有竞争对手，毛利率可能会压缩，或者收入增长可能无法实现。 - $TSLA 可能自 2022 年起就在使用 $VPG 并开始扩大规模。始终存在他们内部掌握专利技术/材料并抛弃客户的风险。这种牛市情景与特斯拉 Optimus 量产挂钩，始终存在被抛弃的风险，市场可能会对此定价。 - 再次强调，这是一个人形机器人规模化博弈。如果埃隆的预测过于雄心勃勃并面临延迟，这可能会像 2025 年一样停滞（尽管 2025 年仍有 ~85% 的回报）。 但 TLDR（太长不看）： 我的观点是，像 Citron 这样的机构分析师太早了。 然而，鉴于 OpenAI 上周进军机器人领域： 我认为 2026 年是机器人的拐点，$VPG 很可能捕获对特斯拉和人形机器人量产的最佳敞口。 尤其是当一家小公司可能占据每个部署机器人高比例的 BOM 成本和高毛利率时： 我已经建立多头头寸，看看这会走向何方。当然请自行研究（DYOR），我只是想分享我是如何建立这个多头信念的。
原推 ↗英文原文
$VPG is one of the least known robotic supply chain stocks. However, it's likely the single best asymmetrical exposure to robotics Humanoid ramp for - $TSLA Optimus ~ Figure AI as this $580m company makes: est. ~3-9% BOM cost of every humanoid. $8.5B revenue may come from $TSLA alone ($850 midpoint * 10M) every year if Elon hits his 10M Giga Texas production target in 2027. This is based on $VPG CEO's quote on value capture of $500–$1,200 per robot ($850 midpoint) and Elon's ambitious projections on production targets. Again this math is extremely speculative, but Elon quotes $20-30k/humanoid at scale and you can derive an est. ~3%-9%+ of BOM from each Tesla Robot produced (if this does ever happen) for $VPG. If you consider Elon Musk saying "About 80% of Tesla's Value Could Eventually Come From Optimus Robots": This looks like great exposure for robotics ramp for such a small company that's critical in the robotics supply chain. What I believe markets also missed is factoring in low end corporate margins to for blended margin estimates: ~40% However, the humanoid-specific gross margin at scale is projected to be 50% to 55% (and with current robotics ramp, blended margins would likely increase significantly). Their integrated actuator/sensor Modules (sensor + housing + electronics) is likely directly tethered to humanoid exposure, (measurement systems segment which houses these complex assemblies), which the CEO said on their earnings call achieves margins of "55% or so". In a bull case scenario where Elon hits his 10M humanoid projections in 2028 (single customer, not including Figure, OpenAI, or other potential customers) 55% margin off $8.5B revenue at : - 20x P/E would be $47.6 Billion -30x P/E $83.3 Billion from $580m MC. It sounds stupid, but when I look at $SMCI pre-server rack rally ($3 -> $113) or $SNDK's rally ($30 -> $453), it looks possible. Again this is speculative best case possible scenario, but the operating leverage is the real story here. So I think it's likely for this small $580m company to be strongly re-rated if the stars align for robotics ramp. Now downside risk: - The other humanoid provider is likely to be Figure due to timeline mapping. But this is not confirmed. (not taking credit for either mapping research, they were done by other analysts). These figures are hypothetical modeling based on third-party estimates like Citron, gross margins might be compressed if there's competitors or revenue ramp might not play out. - $TSLA has likely been using $VPG since 2022 and is starting to ramp up. There is always a risk they figure out the patented technology/materials in-house and drop a customer. This bull-case scenario is tethered to Tesla Optimus ramp and there's always a risk they get dropped that markets might price in. - Again this is a humanoid scale play. If Elon's projections are too ambitious and face delays, this might be stagnant like 2025 (which was still ~85% return). But TLDR: My opinion was that institutional analysts like Citron were way too early. However, given OpenAI's push into robotics last week: I believe 2026 to be the inflection point for robotics and $VPG likely captures the best exposure to Tesla and Humanoid robotics ramp. Especially when a small company likely has high % BOM cost of each robot deployed and high gross margins: I've taken long positions to see where this ends up. Of course DYOR on this, I just wanted to share how I came to develop my own conviction on this long.
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VPG被视为机器人领域的Lite，因市场未聚焦该供应链而鲜为人知。
@StockStormX 是的，$VPG 之于机器人/$TSLA Optimus 的量产爬坡，就像 $LITE 之于 Google TPU。由于市场尚未聚焦于机器人供应链，它并不广为人知。
原推 ↗英文原文
@StockStormX Yeah $VPG is like the $LITE (Google TPU) for robotics/ $TSLA Optimus ramp up. Not very well known since markets haven't focused on robotics supply chains yet
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建仓$VPG，看好其作为$TSLA Optimus核心供应商的高BOM占比及不对称收益。
我已建立 $VPG（市值5.73亿美元）的头寸。 这是我未来在机器人领域的主要敞口，与 $TSLA Optimus 紧密挂钩。 市场完全忽视了这一机器人板块的投资机会： 对于每一台部署的特斯拉 Optimus，$VPG 很可能占据极高的物料清单(BOM)份额。 VPG 可能是特斯拉 Optimus 量产爬坡的主要供应商，这已是公开的秘密。 这一发现最早由 Citron Research 提出（我不居功）。 2025年4月，Citron Research 发布报告，称 VPG 为“隐藏的特斯拉 Optimus 概念股”。 他们指出，VPG 在2023年11月宣布与一家人形机器人开发商达成“重大设计胜利”，就在特斯拉于2023年12月发布 Optimus Gen 2 之前。 Citron：“证据确凿：VPG 不仅向特斯拉 Optimus 供货，还预计从此次扩产中获得巨额收入，但由于保密协议，这部分收入目前对市场不可见。” 我在2025/2026年后期与多家卖方/买方分析师交叉验证了关于 VPG 的信息： 许多来自 Signia Capital 的人士提到 $VPG：“最显著的应用将是特斯拉的 Optimus 机器人，该机器人于2022年原型化，目标在2026年投产”。 然而，由于2023-2025年原型机阶段 Optimus 及其他机器人的量产爬坡并不存在，这一点被完全遗忘了。 然而，鉴于彭博社报道 OpenAI 上周推动机器人领域发展： 我预计机器人行业今年将触及拐点。 该公司基本面已经非常扎实： - 营收7970万美元（同比增长5.3%，但预计因机器人行业而指数级增长） - 毛利率40.5% - 净现金约6500万美元（现金8600万，债务2000万） $VPG 在块状金属箔(Bulk Metal Foil)材料科学/专利方面拥有护城河，引入了 Z-Foil 技术，并实现了垂直整合。虽然我不能说完全理解所有细节，但这正是 $TSLA 与 Vishay 合作进行 Optimus 迭代原型开发和规模化的原因。 关于 BOM： 有一些 BOM 估算如下： 腿部/运动系统：约21,300美元（占成本38%）：集中在高扭矩执行器。 核心稳定性：约15,600美元（28%）：结构性躯干和肩部机构。 灵巧手：约9,500美元（17%）：执行器和 VPG 式传感器。 计算/AI：约2,100美元（4%）：双 FSD 芯片和8摄像头阵列。 但总体而言，我们可以估算每台机器人的价值中约有3-8%归 $VPG 所有，因为 Shoshani 明确表示 VPG 预计每台机器人在ERs中能获得500至1,200美元的收入。 Elon 喜欢吹嘘大数字，但如果按字面意思理解“德州超级工厂年产1000万台的目标” 1000万台机器人/年 × 750美元/台 = VPG 年营收75亿美元。 考虑到 $VPG 是一家目前处于机器人供应链深处的5.74亿美元小市值公司，鉴于其不对称的上行空间，我建立了多头头寸： - 与 $TSLA Optimus 供应链的高度相关性概率高 - 每台部署机器人的 BOM 占比高 - 资产负债表非常干净，这很罕见。 请自行研究，这只是我建立多头的个人思考过程。
原推 ↗英文原文
I've initiated positions in $VPG ($573m). This is my actual/main robotics sector exposure going forward, tethered to $TSLA Optimus. Markets have completely overlooked this robotics sector play: For every Tesla Optimus deployed, $VPG likely takes an exceptionally high BOM for each. It's a pretty open secret by now that VPG is likely a main supplier for Tesla Optimus Ramp. This was first discovered by Citron Research (not taking credit for this). In April 2025, Citron Research published a report calling VPG the "Hidden Tesla Optimus Play." They pointed out that VPG announced a "major design win" with a humanoid developer in November 2023, right before Tesla revealed the Optimus Gen 2 in December 2023. Citron: "The evidence is conclusive: VPG is not only supplying Tesla Optimus but expects substantial revenues from this ramp-up, revenue currently invisible to the market due to confidentiality" I've cross-checked with recent Sellside/Buyside analysts much later in 2025/2026 regarding VPG: Many from Signia Capital mention for $VPG: "The most notable application would be Tesla’s Optimus robot, which was prototyped in 2022 and is targeting production in 2026". However, this was completely forgotten given robotics ramp from Optimus and others were nonexistent through 2023-2025 for the prototyping phase. However, given OpenAI's push to robotics last week per Bloomberg: I expect robotics to hit the inflection point this year. This company is extremely solid fundamentally already: - $79.7 Million Revenue (up 5.3% Y/Y but this should ramp up exponentially due to robotics sector) - 40.5% Gross Margins - ~$65 Million Net Cash ($86m Cash, $20m Debt) $VPG has a material science/patent moat for Bulk Metal Foil, introduced Z-Foil technology, and is vertically integrated. Can't say I understand it all, but it's the reason why $TSLA has been prototyping and scaling their Optimus iterations with Vishay. As for BOM: There are BOM estimates like: Legs/Locomotion: ~$21,300 (38% of cost): concentrated in high-torque actuators. Core Stability: ~$15,600 (28%): structural torso and shoulder mechanisms. Dexterous Hands: ~$9,500 (17%): Actuators and VPG-style sensors. Compute/AI: ~$2,100 (4%): Dual FSD chips and 8-camera array. But generally, we can estimate 3-8% of each robots value is est. $VPG since Shoshani explicitly stated that VPG expects to capture between $500 and $1,200 in revenue per robot in ERs. Elon likes to claim big numbers, but if you take it at face value "10-million-unit annual target at Giga Texas" 10M robots/year × $750/robot = $7.5 Billion in annual revenue for VPG. Considering $VPG is a small $574M company deep in the robotics supply chain right now, I entered long positions given the asymmetrical upside - of high probability correlation to $TSLA Optimus supply chains - high BOM of each robot deployed. - very clean balance sheet, which is rare. Please do your own research, this is my own personal thought process of why I entered this long.
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调侃特斯拉持有者期待某特定时间线
@amitisinvesting 那将是一个非常有趣的时间线。我敢肯定所有 $TSLA 的持有者都在暗自希望那会发生
原推 ↗英文原文
@amitisinvesting That would be one very interesting timeline. I’m sure all the $TSLA holders are secretly hoping that happens
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回顾2019年市场对特斯拉保持领先地位的普遍误判。
@allen_drewe @zephyr_z9 市场？尤其是2019年它们进军中国时。事后诸葛亮，但大多数人认为 $TSLA 会保持其领先地位。 https://t.co/wyWecRjzkW
原推 ↗英文原文
@allen_drewe @zephyr_z9 The markets? esp. when they went to China in 2019. Hindsight bias, but majority of people thought $TSLA would maintain its leadership. https://t.co/wyWecRjzkW
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类比特斯拉入华催生比亚迪，担忧台积电赴美建厂可能意外培育出美国本土芯片竞争对手。
我的意思是，$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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Citron推断VGP为特斯拉Optimus供应商，作者澄清属非正式映射。
@ifreebirdie 是的，忘了包含它们，Citron 推断 $VGP 是 $TSLA Optimus 的供应商。 我也再次像最初的 $SSYS 文章那样措辞有些强烈，它们都是非正式的映射。很多事情并非公开信息。https://t.co/LBWGWbnySF
原推 ↗英文原文
@ifreebirdie Yeah forgot to include them, $VGP inferred to be $TSLA Optimus supplier per Citron. I also worded things a bit strongly again like the original $SSYS piece, they're all casual mapping. A lot of things aren't public information. https://t.co/LBWGWbnySF
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巨头垂直整合软件，投资无法整合的瓶颈环节更优。
虽然我喜欢 $PDYN，因为它能填补像 $RCAT 和 $DPRO 这样的小公司留下的空白，但在这里它们没有用武之地。 我关注的是波士顿动力、特斯拉、Figure 等机器人的规模化扩张。它们都像 $TSLA 的 Dojo AI5 + XAI 那样垂直整合自己的软件。 $META 等巨头没有任何动力将它们的软件栈交给 $PDYN。 它们都尽可能地进行垂直整合，因此，如果你能 pinpoint（锁定）那些在无法垂直整合的环节拥有有效垄断（即“瓶颈”）的公司，那么随着这些公司规模的扩大，投资这些瓶颈环节应该会获得回报。
原推 ↗英文原文
So while I like $PDYN since they fill in the gaps with smaller companies like $RCAT and $DPRO. They have no role here. I'm focused on robotics scale-up with Boston Dynamics, Tesla, Figure, and others. They all vertically integrate their own software, like $TSLA Dojo AI5 + XAI. There's 0 incentive for any of these giant companies from $META and others to give their software stack over to $PDYN. They all try and vertically integrate where they can, so if you pinpoint the companies that have effective monopolies "aka. bottlenecks" where they can't, then investing in those should be rewarding as these companies scale up.
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梳理机器人供应链瓶颈，看好TKR、SYSS等美国本土替代标的。
波士顿动力/Optimus/机器人供应链摘要(TLDR)： - $ALGM ($65亿) 电机/传感 (Optimus) - $NOVT ($47亿) 反馈 (Atlas, Figure) - $VICR ($65亿) 电源 (Atlas) - $OUST ($16.4亿) 激光雷达(LiDAR) (Spot, Atlas) - $AMBA ($27亿) - 芯片 (Atlas, Figure) - $AEHR ($8.12亿) - 碳化硅(SiC)测试 (t2) - $RRX ($105亿) - 关节 (Agility, Apollo) - $TKR ($65.3亿) - 谐波应变 (t2) - $MP ($118.2亿) - 钕镨磁铁 (t3) - $LSCC ($116亿) - 传感器融合FPGA (t3) 我个人的持仓： - $SYSS ($9.98亿) - 骨架 (Optimus, Atlas, Figure) - $LPTH ($7.01亿) - 视觉 (T2) 在OpenAI昨日推进机器人业务后，我研究了这些公司，并想以摘要格式分享发现。 再次强调，机器人原始设备制造商(OEM)通常不公布物料清单(BOM)，因此大多数已确认，部分未确认但通过交叉引用公开资料极可能属实。 但我们应看到机器人行业在2026-2027年迎来拐点。 思考： - 哈默纳科(Harmonic Drive Systems, 6324.T)。我此前将其视为领导者，但他们刚被中国Leaderdrive以40%更低成本复制技术所颠覆。 - 基于此，$TKR (美国)可能是最具“超额收益(alpha)”的标的，因为通过收购Cone Drive，他们成为相对于哈默纳科/Leaderdrive的主要美国谐波齿轮供应商。 - $AMBA和$VICR可能是我在美国供应链中发现的除$SYSS外最有趣的标的。 - 我选择$SYSS作为机器人瓶颈敞口的首选，因为他们是每个量产人形机器人的骨架/材料（例如已知用户包括波士顿动力Atlas），且拥有有效的美国认证垄断地位。 - $LPTH碰巧也是机器人瓶颈敞口，因为我购买它也是出于对国防部/军事瓶颈敞口的考虑。 这些只是美国大规模量产中“雷达下”的标的。除了两个持仓外，我不持有其他任何标的，但我仍在研究它们。 不幸的是，许多供应链如$TSLA的执行器（与三花智控的6.85亿美元订单）仍在中国。但我预计许多将回流美国，因此仍在寻找供应链BOM方面的超额收益。 如果我遗漏了任何标的，欢迎补充。
原推 ↗英文原文
Boston Dynamics/Optimus/Robotic supply chains TLDR: - $ALGM ($6.5B) motor/sensing (Optimus) - $NOVT ($4.7B) feedback (Atlas, Figure) - $VICR ($6.5B) power (Atlas) - $OUST ($1.64B) LiDAR (Spot, Atlas) - $AMBA ($2.7B) - Chips (Atlas, Figure) - $AEHR ($812m) - SiC Test (t2) - $RRX ($10.5B) - Joints (Agility, Apollo) - $TKR ($6.53B) - Harmonic Strain (t2) - $MP ($11.82B) - NdPr magnets (t3) - $LSCC ($11.6B) - Sensor Fusion FPGAs (t3) I'm personally in: - $SYSS ($998M) - Skeleton (Optimus, Atlas, Figure) - $LPTH ($701M) - Vision (T2) Was researching these companies after OpenAI's push into robotics yesterday and wanted to do a TLDR format of findings. Again, robotics OEMs generally don't publish BOMs, so most of these are confirmed but some are unconfirmed but very likely from cross-referencing public findings. But we should see an inflection point for robotics going into 2026-2027. Thoughts: - Harmonic Drive Systems (6324.T). Was tracking this as the leader but they just got disrupted by China's Leaderdrive that copied their technology and at 40% lower cost. - Based on this, $TKR (US) is probably the most "alpha" up there since through Cone Drive acqusition, they're the primary US-based provider of harmonic gearing vs. Harmonic Drive / Leaderdrive. - $AMBA and $VICR are probably the most interesting ones outside of $SYSS that I've found in the US supply chains. - I picked $SYSS as my choice for robotics bottleneck exposure since they're the skeletons/materials for each humanoid on scale up (eg. with Boston Dynamics Atlas as known users) and effective US certification monopoly. - $LPTH happened to be a coincidental Robotics bottleneck exposure since I bought this for DoD/military bottleneck exposure too . These are just the "under the radar ones" in the US for the mass production scale-up. Don't own any of them aside from two, but I'm still looking into them. Unfortunately many supply chains like $TSLA's actuators ($685M order with Sanhua) are still in China. But I expect many of them to flow back to the US, so still looking for alpha in terms of supply chain BOM. If I missed any feel free to mention others.
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PLTR和TSLA持仓减少，2026年转向ZETA等标的。
@bennybigbull $PLTR 和 $TSLA 在上一季度的出现频率降低，进入 2026 年后被 $ZETA 等公司取代。
原推 ↗英文原文
@bennybigbull $PLTR and $TSLA stopped showing up as much last quarter and got replaced by companies like $ZETA entering 2026.
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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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难以直接投资机器人板块，因多为巨头部门或涉及地缘政治风险。
很难直接投资有趣的机器人公司，因为它们只是 $AMZN、$TSLA、现代 KRX: 005380（波士顿动力）以及你们那些巨头公司的部门。 其他有趣的可能像 $XPEV 这样是外国公司（但我不投资那些推进地缘政治对手军事相关 AI/机器人项目的公司）。 有些像 $RR 这样的公司，但它们远不是我正在关注的垂直领域类型。
原推 ↗英文原文
It's hard to get direct exposure to interesting robotics companies since they're just divisions in $AMZN, $TSLA, Hyundai KRX: 005380 (Boston Dynamics), and your massive companies. Other interesting ones might be foreign like $XPEV (but I don't invest in companies that advance geopolitical enemy AI/Robotic programs that relate to military). There's some like $RR, but they're nowhere close to the types of verticals I'm looking at.
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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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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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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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看好RKLB与NBIS，认为市场低估了这两家行业第二梯队的成长潜力。
市场正在错误定价地球上最大板块中的第二梯队玩家。 我对 $RKLB = $NBIS Avride 的论点： 1. 太空领域 ($RKLB) -> SpaceX 估值刚从 $350B 升至 $800B。Rocketlab 将从 $26B 增长至 SpaceX 之前的估值水平。 这只是时间问题。 2. 自动驾驶出租车 (Robotaxis) ($NBIS) Waymo 在一年内从 $45B 涨至 $200B。$NBIS Avride 将从 $6B 增长至 Waymo 之前的估值水平。 这只是时间问题，无论是一年还是四年后。 关于 $NBIS 的关键点是：Avride 只是其众多子公司之一，仅这一家公司在两年内的价值就可能超过当前的整体市值。 市场和空头都错误定价了这样一个事实：Nebius 拥有地球上增长最快、最热门的板块公司，且全部实现 100%+ 的同比增长。 做多 $RKLB，做多 $NBIS。
原推 ↗英文原文
The market is mispricing the #2 players in the biggest sectors on Earth. My thesis on $RKLB = $NBIS Avride 1. Space ( $RKLB ) -> SpaceX just got valued at $800B from $350B. Rocketlab will grow into SpaceX's prev valuation from $26B It's just a matter of time. 2. Robotaxis ( $NBIS ) Waymo went from $45B → $200B in 1 year. $NBIS Avride is going to grow into Waymo's previous valuation from $6B. It's just a matter of time, whether that's 1 year or 4 years from now. And here is the thing with $NBIS: Avride is just one subsidiary out of multiple, and this company alone could be worth more than the entire market cap today in 2 years. Both the market and short sellers misprice the fact that Nebius owns the fastest growing and hottest sector companies on Earth, all growing 100%+ Y/Y. Long $RKLB, Long $NBIS.
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Avride是$NBIS核心资产，自动驾驶出租车市场潜力巨大，机构严重低估$NBIS价值。
根据 Seeking Alpha 报告与 Nuro 的基准对比，其估值现在可能约为 60 亿美元。但我会说 Avride 是 $NBIS 的皇冠明珠，而非 Clickhouse，尤其是当 Waymo 等自动驾驶出租车 (Robotaxi) 公司在短时间内估值飙升至 1000 亿美元以上时。 $TSLA 仅因推出自动驾驶出租车就增加了数千亿美元的价值（例如 Cathie Wood 表示自动驾驶出租车可能占特斯拉价值的 90%），这是一个因参与者稀缺而具有极大上行空间的市场。 基本上只有 $TSLA、$GOOGL 的 Waymo、$AMZN 的 Zoox、现代……以及正试图抵御自动驾驶出租车竞争的 $UBER。 $UBER 通过 Avride 而非与 Waymo 合作来扩大其防御能力至关重要，以避免将客户引导至竞争对手的应用程序（例如他们联合投资了 3.75 亿美元的原因）。 鉴于 $NBIS 拥有 Avride 83% 的股份，如果其规模达到约 450 亿美元市值（这是 Waymo 在 2024 年 10 月的估值）……这实际上超过了 Nebius 今天的市值，而它才刚刚在德克萨斯州启动。 像 Hedgeye 这样的基金可能没有计算 SOP 增长，并且严重低估了 Nebius。
原推 ↗英文原文
Probably around $6B now as per the seeking alpha report benchmarked vs Nuro. But I'd say Avride is crown jewel of $NBIS, not clickhouse, especially when robotaxi companies like Waymo scaled to a $100B+ valuation in a short time. $TSLA gained hundreds of billions in value just due robotaxi launch (eg. Cathie Wood said robotaxis could be 90% of tesla's value) and it's a market with extreme upside due to lack of players. There's basically just $TSLA, $GOOGL Waymo, $AMZN Zoox, Hyundai... and then $UBER which is trying to defend themselves against robotaxi competition. $UBER has the upmost importance to scale its defensibility with Avride instead of partnering with Waymo -> funneling customers into the other app. (eg. why they joint invested $375M). Given how $NBIS owns 83% of avride, if it scales to ~$45B MC, which was Waymo's valuation BACK in October 2024.... That's literally more than Nebius's marketcap today lol, and it just launched in Texas. Funds like Hedgeye probably aren't accounting for SOP growth and are vastly underestimating Nebius.
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反驳Hedgeye做空逻辑，对比Coreweave指出Nebius财务更健康且业务多元。
做空机构 @Hedgeye 正在做空 Nebius $NBIS。股价现为 $97.8。 他们的观点？Nebius 是 Coreweave 2.0。 Coreweave [ $CRWV ]： - 客户多元化程度低，主要是超大规模云服务商，约四分之一的积压订单来自 OpenAI。 - 剩余现金 18 亿美元。 - 由于 8-10% 利率的有毒融资，每年债务利息超过 13 亿美元。 Nebius 也是如此吗？ Nebius [ $NBIS ]： - 在 Neocloud 市场中拥有最高的客户多元化，包括 $META、$MSFT、政府、$SHOP、Mistral、$NOW 等。 - 剩余现金超过 48 亿美元。 - 票据结构约 40%+ 价外(OTM)，年利率约 2%，每年利息支出约 7660 万美元。 - 拥有对 $UBER 至关重要的 FSD 4 级 Robotaxi 自动驾驶汽车业务板块（最后一轮融资 $UBER 投入 3.75 亿美元），以对抗 Waymo。 - AI 训练板块由贝索斯资助，并被 $AMZN、Anthropic 等使用。 - 持有子公司 28% 的股份，该子公司被 $TSLA、$NET、Tiktok、$META 等大多数上市公司使用。 - 4 家子公司同比增长 100%，伴随核心运营业务增长，Tripleten/Toloka 每年增加净收入。 这是同一家公司吗。
原推 ↗英文原文
A short seller firm @Hedgeye is now shorting Nebius $NBIS. The stock price is now $97.8. Their claim? Nebius is Coreweave 2.0. Coreweave [ $CRWV ]: - Small diversification in customers, mainly hyperscalers, ~quarter of their backlog is OpenAI. - $1.8B in cash left - $1.3B+/yearly in debt interest from toxic financing at 8-10% interest. Same thing as Nebius right? Nebius [ $NBIS ]: - Highest diversification in the Neocloud market of customers from $META, $MSFT, governments, $SHOP, Mistral, $NOW, and many others. - $4.8B+ in cash left - ~$76.6M/yearly from note structure 40%+ OTM at ~2% interest. - FSD level 4 Robotaxi self driving car segment that is of critical importance to $UBER (last round $375M with $UBER) to compete vs Waymo. - AI training segments funded by Bezos and used by $AMZN, Anthropic, and others - 28% in subsidiary that most of the public companies from $TSLA, $NET, Tiktok, $META and so on use - 4 subsidiaries growing 100% Y/Y alongside their core operational business, with Tripleten/Toloka adding to net income every year. Same company.
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博主认为七大科技股当前估值具备较高概率优势。
@Scepticus16 就我而言，从当前估值来看，$meta、$amzn、$googl、$nvda、$appl、$msft、$tsla 的概率较大。
原推 ↗英文原文
@Scepticus16 Prob $meta, $amzn, $googl, $nvda, $appl, $msft, $tsla for me in terms of current valuations
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质疑市场对Uber与Nvidia自动驾驶估值逻辑的矛盾。
市场到底在抽什么？ 华尔街因自动驾驶汽车业务，将市值超1800亿美元的$UBER推高3.4%，今日市值增加超60亿美元。 然而，Uber所使用的自动驾驶汽车母公司$NBIS却下跌3%，市值现不足240亿美元。https://t.co/ahpz7B0mwx
原推 ↗英文原文
WHAT IS THE MARKET SMOKING??? Wall Street sent $UBER, a $180B+ company, up 3.4%, $6B+ today off of its self-driving cars. But $NBIS, the parent company of the self-driving cars Uber uses, got sent down -3% and is now worth less than $24B. https://t.co/ahpz7B0mwx
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反驳特斯拉FSD营销，指出其仍为L2级，对比Waymo的L4优势。
抱歉，那是自我安慰。$NBIS Avride 和 $GOOGL Waymo 现在已有可用的 L4 级自动驾驶系统。特斯拉拥有更具可扩展性的架构，但仍处于 L2 级。 关于 $TSLA： ~30 辆有人监督车辆 vs Waymo 的 2,500 辆无人监督车辆 - 仍需人类安全监控员 - 即使有监控员，事故率也更高 - 每 6.25 万英里发生一次碰撞。 当法律要求人类驾驶员必须在场时，FSD 的说法只是营销噱头。 如果你说 $TSLA 更具可扩展性、单车成本更低（无激光雷达 = 每辆便宜数千美元），且无需地理围栏/预映射即可随处运行，我会同意你。
原推 ↗英文原文
Sorry that's copium. $NBIS Avride + $GOOGL Waymo have working Level 4 systems now. Tesla has a more scalable architecture that's still at Level 2. With $TSLA you have: ~30 supervised vehicles vs Waymo's 2,500 unsupervised vehicles - Human safety monitors still required - Higher incident rate even with monitors present - Crash every 62.5k miles. The FSD claims are just marketing when legally human drivers are required to be present at the wheel. I would agree with you if you said $TSLA was more scaleable with cheaper per vehicle (no LiDAR = thousands less per unit), and works everywhere (no geofencing/pre-mapping required).
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对比NBIS成熟L4架构与特斯拉纯视觉扩展策略优劣
虽然有点开玩笑，但目前 $NBIS Avride 拥有比 $TSLA 更成熟的 L4 级系统架构（类似于 Waymo 采用激光雷达、摄像头、雷达的方案），且正在主要区域进行类似 Waymo 的地理围栏商业化部署。 $TSLA 的 L2 级系统需要人工监督（FSD 被高估了）。 然而，特斯拉的策略是通过 AI 软件改进，将纯视觉消费者车辆系统扩展至 L4+ 能力。$TSLA 还掌控全栈技术，因此能以极低成本大规模扩展且不受地理围栏限制。
原推 ↗英文原文
Obviously joking a bit but as of now $NBIS Avride has a more mature lvl-4 system architecture (similar to Waymo's approach with LiDAR, cameras, radar) than $TSLA, and is just launching commercially but geofenced in major areas like Waymo. $TSLA level-2 system is supervised and requires human drivers (FSD is overstated). However, Tesla's approach bets on scaling a vision-only consumer vehicle system to Level 4+ capability through AI software improvements. $TSLA also owns the stack so they can build out this to scale extremely cheaply + non geofenced.
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对比Uber与特斯拉Robotaxi发布后的股价反差，感叹市场荒谬。
看到市场反应，我忍不住笑了：尽管 $UBER 在德州推出了基于 FSD 的 L4 级 Robotaxi，但 $NBIS 的股价却下跌了 3%。要知道，该公司的市值仅为 230 亿美元，本来就已经非常小了。相比之下，当 $TSLA 在德州进行软启动时，其股价却飙升了超过 3000 亿美元。市场有时真是有趣。
原推 ↗英文原文
テキサス州で $UBER と提携したFSDレベル4のロボタクシーのローンチがあったのに $NBIS の株価が3%下落したという市場の反応を見て、思わず笑ってしまいました。同社の時価総額はわずか230億ドルと、もともと非常に小さいのに。 一方 $TSLA がテキサスでソフトローンチを行った際も、株価は3,000億ドル以上も価値が上昇したんです。 市場というのは、時々面白い動きをしますね。
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对比TSLA与NBIS在自动驾驶级别与市值反应上的巨大反差。
这让人难以理解... $TSLA：L2级自动驾驶的Robotaxi——市场基于其1万亿美元以上的估值，额外增加了约3000亿美元市值。 $NBIS：L4级自动驾驶的Robotaxi——市值230亿美元，却下跌了3.55%。 https://t.co/kMGzihza3V
原推 ↗英文原文
Make this make sense... $TSLA: FSD level 2 robotaxis -> market adds ~$300B off a $1T+ valuation. $NBIS: FSD level 4 robotaxis -> down 3.55% off a $23B marketcap. https://t.co/kMGzihza3V
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Uber联手Nvidia对抗Tesla和Waymo，共享出行市场或现多赢格局。
我会将其框架化为 $UBER + $NBIS Avride 对阵 $TSLA 对阵 $GOOGL Waymo。特斯拉有独立应用。Waymo 也有独立应用。两者都在与 Uber（拥有最大网络）竞争。如果我是 Uber，我会通过 Avride 来增长，以免用户仅仅被引导至 Waymo 的应用。共享出行领域可能有多位赢家（例如 $LYFT + $UBER），因为这是一个巨大的市场。
原推 ↗英文原文
I'd frame it more of $UBER + $NBIS Avride vs. $TSLA vs. $GOOGL Waymo. Tesla has its standalone app. Waymo has a standalone app. Both are competing vs Uber (which has the largest network) If I were Uber, I'd grow with Avride on this so they don't just funnel users to Waymo's app. Probably multiple winners (eg. $LYFT + $UBER) for ridesharing since it's a huge market.
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对比特斯拉与NBIS在自动驾驶出租车领域的估值差异。
@longinvest32 $TSLA 的 FSD（完全自动驾驶）L2 级 Robotaxi（自动驾驶出租车）——市场基于 1 万亿美元以上的估值，增加了约 3000 亿美元的市值。 $NBIS 的 FSD L4 级 Robotaxi——市值 230 亿美元，盘前下跌 1.3%。
原推 ↗英文原文
@longinvest32 $TSLA FSD level 2 robotaxis -> market adds ~$300B off a $1T+ valuation. $NBIS FSD level 4 robotaxis -> down 1.3% premarket off a $23B marketcap.
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回应反馈，重申对NBIS作为十年一遇机会的高置信度持仓逻辑。
感谢反馈，我会铭记于心，并照常发布其他主题的内容！ 我昨天发布了关于 $NVDA 等标的的深度研究(DD)，但正如你提到的，近期内容主要集中在 NeoCloud 板块。我之所以聚焦于此，是因为近期新闻密集，且巨大的抛售引发了大量关注！ 具体到 $NBIS，这是我持仓两年中信心最高的一笔投资。我认为这是继 $NVDA 之后十年来难得的机会，你很少看到一家核心公司净利润同比增长 700%，同时旗下 4 家投资组合公司净利润均实现 100% 的同比增长。 其中一家恰好是一家非常酷的自动驾驶 Robotaxi 公司（我是 Waymo 和 $TSLA Robotaxi 的粉丝）。
原推 ↗英文原文
Thanks for the feedback, I'll take it to heart and do posts on other stuff as usual! I posted DD about stuff like $NVDA yesterday but recently as you mentioned it's been mainly about the neocloud sector. I've been focused on it because of how much news there was recently + the huge sell off attracted a lot of attention! For $NBIS in specific, it was my highest conviction 2 year hold. I just see it as the opportunity of a decade since $NVDA, you don't really see any core company growing its bottom line 700% Y/Y with 4 separate portfolio companies growing 100% Y/Y. One of which happens to be a super cool self-driving robotaxi company (I'm a fan of Waymo, $TSLA robotaxis).
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NBIS因自动驾驶出租车业务被低估，市值仅210亿。
是的，完全不明白为什么人们不更多地讨论 $NBIS 的自动驾驶出租车（Robotaxi）业务，毕竟他们拥有第四级自动驾驶（Level 4 FSD）能力，且将在几天内启动。人们购买 $TSLA 或 $GOOGL 以获取相关敞口，但 $NBIS 市值仅为 210 亿美元，除了自动驾驶出租车外，还有许多其他公司和核心业务相伴。它可能是市场上最被误解且被低估的成长型公司之一。不幸的是，金融圈（finx）只是一个微小的泡沫，即使这里的人开始理解，其他地方大多数人甚至不知道 Nebius 拥有一家已研发 7 年的自动驾驶出租车公司。
原推 ↗英文原文
Yeah, zero clue why people aren’t talking more about $NBIS for robotaxis when they have fsd level 4 and are launching in a few days. People buy $TSLA or $GOOGL for exposure, but $NBIS is just sitting there at a $21B marketcap with many other companies + core businesses to go alongside robotaxis. Probably one of the most misunderstood and undervalued growth companies in the market. Unfortunately finx is a tiny bubble so even if people start to understand it here, majority of people elsewhere wouldn’t even know Nebius owns a robotaxi company that’s been in development for the past 7 years
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解析$NBIS旗下Avride与Toloka的高增长潜力，指出市场低估其子公司价值。
$NBIS 即将超越 $CRWV，原因如下： 在 $TSLA、$AMZN、$GOOGL 和现代汽车中，Nebius [ $NBIS ] 拥有美国仅有的 4 家 FSD-LVL 4 级自动驾驶出租车公司之一：Avride。 人们还不知道的是： $NBIS 拥有 Toloka，其同比增长 140%。 Toloka 被 Anthropic、Hugging Face、$AMZN、$MSFT、ServiceNow 和 $SHOP 用于训练人工智能模型，在杰夫·贝佐斯风险投资部门的最新一轮融资中，Toloka 估值约为 7 亿至 12 亿美元。 Nebius 拥有多数股权（约 60%），但市场错误定价了其子公司与其核心业务一同以极高速率增长的事实。 虽然不如 Avride 或 Clickhouse 具有主导地位，但鉴于其增长率，Toloka 代表了 Nebius 投资论点中的重要组成部分。 我们最近看到 Scale AI（估值 290 亿美元）被 $META 收购（技术上约 49%），以此了解市场规模，并且由于利益冲突担忧，$GOOGL 和 OpenAI 的客户流失，这增加了 Toloka 的价值。据报道，Meta 收购后，Google 和 OpenAI 切断了与 Scale 的联系。仅 Google 在 2025 年为 Scale 预算了 2 亿美元。即使捕获其中 10-20% 的转移支出，也将实质性提升 Toloka 的收入。 管理层指引 2025 年收入为 50-70 亿美元。牛市情景假设他们达到 70 亿美元以上（上限或超过）。鉴于他们在 2024 年增长了 140%，如果企业交易转化，这并非不合理。计算如下：70 亿美元 × 25 倍 = 175 亿美元。若为 80 亿美元且乘数为 25-30 倍（若势头异常强劲），则接近 20-25 亿美元。 但鉴于其增长率，我们可能会看到： 基准情景（12-15 倍乘数）：7-10 亿美元（当前）-> 9-13 亿美元（1 年后）。 牛市情景 20-25 倍：12-17.5 亿美元（当前）-> 15-25 亿美元（1 年后）。 2024 年收入同比增长 140% 至约 2640 万美元，2025 年指引为 5-7 亿美元（同比增长 90-165%）。在一般牛市情景下，我们可能在 1 年内看到额外约 14 亿美元的子公司价值添加到分部加总估值中。 多年后，如果公司和市场增长，该价值可能单独带来 30 亿、60 亿、90 亿美元。 简而言之，市场仍在将 Nebius 的子公司估值为缓慢增长、商品化的业务，而非以三位数速率高价值复利的业务。真正的超额收益来自投资者理解市场错误定价了 $NBIS 这一篮子超高速增长公司。 $NBIS 拥有多个三位数增长的子公司，受益于并行价值创造：每项业务独立扩展，但其进展强化了母公司的估值。
原推 ↗英文原文
$NBIS is about to leapfrog $CRWV, here's why: Among $TSLA, $AMZN, $GOOGL, and Hyundai, Nebius [ $NBIS ] owns 1 of only 4 FSD-LVL 4 US Robotaxi companies: Avride. What people also don't know is this: $NBIS owns Toloka, growing 140% Y/Y. Used by Anthropic, Hugging Face, $AMZN, $MSFT, Servicenow, and $SHOP for training artificial intelligence models, Toklo is likely valued around $700M-$1.2B in its latest round by Jeff Bezos's venture arm. Nebius owns a majority stake (roughly ~60%), but the market is mispricing how their subsidiary companies grows at extreme rates alongside their core business. While not as dominant as Avride or Clickhouse, Toloka represents a meaningful piece the Nebius investment thesis given their growth rate. We’ve seen Scale AI ( $29B ) get acquired by $META recently (technically ~49%) to get a sense of market size, and we’ve seen customers from $GOOGL and OpenAI defect due to conflict of interest concerns, given added value to Toloka. Google and OpenAI reportedly cut ties with Scale after Meta's acquisition. Google alone had $200M budgeted for Scale in 2025. Even capturing 10-20% of that displaced spend would materially boost Toloka's revenue. Management guided $50-70M for 2025. The bull case assumes they hit $70M+ (the upper bound or exceed it). Given they grew 140% in 2024, this isn't unreasonable if enterprise deals convert. The math: $70M × 25x = $1.75B. At $80M with 25-30x (if momentum is exceptionally strong), you get toward $2-2.5B. But given their growth rate we’ll likely see: Base case (12-15x multiple): $700M-$1B (currently) -> $900M-$1.3B 1Y forward. Bull Case 20-25x: $1.2-1.75B (currently) -> $1.5-2.5B 1Y forward Revenue grew 140% year-over-year in 2024 to approximately $26.4 million, with 2025 guidance of $50-70 million (90-165% Y/Y growth). And with a general bull-case sceanrio, we might see an additional ~$1.4B in subsidiary value added to Sum of Parts in 1 year time. In multiple years time, that value might bring in $3B, $6B, $9B alone if the both the company and market grows. In short, the market is still valuing Nebius’s subsidiaries as if they were slow-moving, commoditized businesses instead of high-value compounding at triple-digit rates. The true alpha from investors understanding that the market is mispricing $NBIS basket of hyper-growth companies. $NBIS with multiple triple-digit-growth subsidiaries benefits from parallel value creation: each business scales independently, but their progress reinforces the parent company's valuation.
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指出市场严重低估 $NBIS 的 L4 自动驾驶业务及其与 Uber 合作的巨大潜力。
我看到的关于 Avride 的帖子主要围绕小型配送机器人！真正的价值来自于 $NBIS 自 2017 年以来一直在开发的自动驾驶 FSD（完全自动驾驶系统）L4 级部门。 人们把 Clickhouse 当作金蛋，但真正的 $300B+ 美元机会在于 Avride 与 $UBER 大规模合作，与 Waymo / $TSLA 竞争。 我想指出 $NBIS 的非对称上行潜力，通过深入挖掘其分部加总价值，市场对此严重、严重低估。 这不仅仅是“估值为 $X”然后打个 40% 的折扣，它还将以极其荒谬的高速增长，就像其核心业务一样。
原推 ↗英文原文
I've seen posts about Avride but they're mainly around the small delivery robots! The real value comes from the self-driving FSD level 4 division that $NBIS has been developing since 2017. People namedrop Clickhouse a the golden egg, but the $300B+ dollar opportunity is with Avride + $UBER at scale competing vs Waymo / $TSLA. Wanted to point out the asymmetrical upside with $NBIS by doing a deeper dive about sum of parts that the market severely, severely undervalues. It's not just "valued at $X" and slash a 40% discount on it, it's also about to grow at extremely absurd rates like their core business.
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NBIS旗下Avride具L4自动驾驶能力，有望成高增长黑马。
精彩的帖子。如果在日本庆祝的话，感恩节快乐！ 核心论点是，Robotaxi（自动驾驶出租车）是一个数万亿美元规模的巨大市场，人们正在通过投资 $TSLA 和 $GOOGL 来寻求该领域的敞口。 然而，在特斯拉、亚马逊、谷歌、现代这五大主要玩家中，鲜为人知的另一家是 $NBIS 旗下的 Avride，它拥有 Level 4（L4）级完全自动驾驶技术。经过7年的开发和研发投资，该公司正与 $UBER 一起迈向商业化，并与 Waymo 和 Tesla 展开竞争。 因此，如果 Nebius 在核心的数据中心业务之外，还拥有一家并行且超高速增长的无名子公司，它将成为市场上增长最快的公司之一。
原推 ↗英文原文
素晴らしい投稿ですね。そして、日本で祝っているなら、ハッピーサンクスギビング！ 主張の核心は、ロボタクシーは数兆ドル規模の巨大市場であり、その分野へのエクスポージャーを求めて人々は $TSLA や $GOOGL に投資しているという点です。 しかし、テスラ、アマゾン、グーグル、ヒュンダイの5つの主要プレーヤーのうち、多くの人が知らないもう1社、 $NBIS 傘下の Avride はレベル4の完全自動運転を持っています。そしてこの企業は、7年にわたる開発と研究開発投資を経て $UBER と共に商用化へ向けて動き出し、Waymo や Tesla と競争しようとしています。 このように、コアであるデータセンタービジネスと並行して超高速で成長する無名の子会社を抱えている場合、Nebius は市場でも屈指の高成長企業となるのです。
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NBIS旗下自动驾驶子公司Avride被严重低估，具备投资潜力。
是的，$NBIS 是一个迷人的分部加总(Sum-of-Parts)估值脱钩案例，其隐藏资产——高增长的自动驾驶Robotaxi子公司 Avride，在母公司市值中被严重低估。这在公众中鲜为人知。但所有人都渴望通过 Waymo 或 $TSLA 获得 Robotaxi 领域的敞口。这仅仅是 Nebius 进行的众多副线任务之一，我本打算写一系列文章介绍其他项目，但鉴于我是自动驾驶汽车的粉丝，我个人最喜欢 Avride。
原推 ↗英文原文
Yeah $NBIS is a fascinating sum-of-parts disconnect example where a hidden asset yet high growth self-driving robotaxi subsidiary Avride, is severely undervalued within the parent company's MC. It's very little known to the public. But everyone is dying to get exposure to robotaxi players looking at Waymo or $TSLA. This is just one of the side quests Nebius is doing, I was going to do a series on the others, but I personally liked Avride the most given how I'm a fan of self-driving cars.
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分析Robotaxi竞争格局：Waymo领先，Uber联手Avride和WeRide应对巨头威胁。
欢迎反驳关于 $TSLA 是 FSD SAE 2级自动驾驶的观点。特斯拉被归类为2级，是因为其 Robotaxi（自动驾驶出租车）始终有人远程监控。埃隆正在追求一个更宏大的计划，即采用摄像头+非地理围栏解决方案，所以我做的并非简单的同类比较。以下是三点看法：1. 如果他能制造出可重复使用的大型太空火箭，我毫不怀疑他最终能在地球上实现他的计划。2. Waymo 明显领先于其他所有竞争者。3. 我的观点是，来自 $GOOGL、$TSLA、$AMZN 等万亿美元市值公司的个位数 Robotaxi 玩家正在与 $UBER 竞争。Uber 视此为威胁，因此正与 $NBIS 的 Avride（美国）、WeRide（中东、中国）合作，以在明年扩大规模。
原推 ↗英文原文
Feel free to dispute the point that $TSLA is FSD SAE level 2 automation. Tesla is classified as level 2, because in their robotaxis, you have people remotely behind the wheel at all times. Elon is pursuing a more ambitious plan with cameras + non-geofenced solution so it's not an apples to apples comparison I'm making. That being three things: 1. I have no doubt Elon can achieve what he's planning in due time back in planet earth if he's able to create large reusable rockets that go into space. 2. Waymo is clearly ahead of all other players. 3. Point I'm making is there's single digit robotaxi players that all come from trillion dollar company exposure in $GOOGL, $TSLA, $AMZN that compete vs $UBER. Uber sees this as a threat so they're working with $NBIS Avride (United States), WeRide (Middle East, China) to scale it up over the next year.
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对比巨头与Avride在自动驾驶出租车领域的竞争格局及Uber布局。
🎯 对我观点的评论一针见血。人们将自动驾驶出租车(Robotaxis)视为一个万亿美元以上的市场。 $GOOGL Waymo 正在快速扩张并拥有先发优势。$TSLA 押注低成本+摄像头以实现大规模完全自动驾驶(FSD)出租车，但尚未完全到位。 人们通过购买万亿美元市值的 $TSLA 或 $GOOGL 来获取这种自动驾驶出租车敞口。 然而，有一家市值仅 210 亿美元的小公司 Avride，它是少数几家 Level 4 开发者之一（自 Yandex 以来已开发 7 年以上）。 Uber 认为 Tesla + Waymo 构成巨大威胁，因此通过与 $NBIS Avride 合作进行扩张（因此有 3.75 亿美元投资+合作），我们可以看到这将在未来一年与其核心业务一起极其迅速地扩大规模。
原推 ↗英文原文
🎯 Spot on commentary of my point. People see robotaxis as a trillion + dollar market. $GOOGL Waymo is expanding rapidly and has first mover advantage. $TSLA is banking on low cost + cameras to achieve FSD robotaxis at scale but aren't quite there yet. And people buy $TSLA or $GOOGL for that self-driving car robotaxi exposure through trillion dollar companies. Yet, sitting in some small $21B marketcap company is Avride, one of the only Level 4 developers out there (that's been in development for 7+ years since Yandex). Uber sees an immense threat from Tesla + Waymo so they're expanding with $NBIS Avride (hence the $375m investment + partnership) and we can see this scale up extremely rapidly over the next year alongside their core business.
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Nebius核心业务高增，其L4级Robotaxi子公司Avride被市场低估。
Nebius [ $NBIS ] 的核心业务简直疯狂。年收入(ARR)在一年内实现700%以上的同比增长，达到70-90亿美元以上。 更疯狂的是这一点。 其子公司可以超越主营业务 🤯 原因如下： $GOOGL Waymo、$TSLA、$AMZN Zoox、Motional、$NBIS Avride 是目前仅有的5家美国完全自动驾驶(FSD) Robotaxi 公司。 是的，$NBIS Avride 是其中之一。 - 它是4家拥有L4级完全自动驾驶（与Waymo同级）的公司之一。 - 它是3家实现L4级FSD商业化的公司之一（Motional仍处于研发阶段）。 作为参考，Tesla [ $TSLA ] 的Robotaxi目前仅为L2级（需要人工监督）。 人们希望购买Robotaxi公司，因为Cathie Wood所说：“Robotaxi可能占 $TSLA 价值的90%）。 因此，他们通过 $3.6T 的 $GOOGL 和 $1.4T 的 $TSLA 等万亿美元公司来买入该板块的敞口。 但有一家L4级FSD Robotaxi公司即将通过 $UBER 与Waymo竞争： 那就是Avride，一家估值60亿美元的子公司，$NBIS 持有其83%的股份，而市场完全忽略了它。Avride 是 该60亿美元估值基于Seeking Alpha分析师报告（2025年8月），将Avride与Nuro的E轮融资估值进行对标。仅在2025年1月，其估值估计为34亿美元，短短6个月内几乎翻倍（反映了Avride与Uber和现代合作的势头）。 支持当前估值的关键近期进展： - 2017年：Avride由Yandex自动驾驶集团创立 - 2017-2024年：研发... - 2024年10月：与Uber达成多年期配送机器人和Robotaxi合作伙伴关系 - 2025年3月：与现代签署L4级自动驾驶汽车联合开发谅解备忘录(MOU) - 2025年10月：获得Uber和Nebius高达3.75亿美元的战略投资 - 2025年底：在德克萨斯州达拉斯通过Uber推出Robotaxi 我们现在看到7年的研发开始商业化爬坡（像Waymo一样），今年通过 $UBER 实现。 你可以以 $NBIS 210亿美元市值的零头价格，获得这家超高速增长的L4级FSD Robotaxi公司。🚗 鉴于Avride同比增长三位数，且我们看到该公司在7年的资本支出投入研发后终于开始商业化，它在2年内估值远超Nebius当前市值的可能性非零。 我们曾看到Waymo从450亿美元市值（2024年10月，融资56亿美元）增长到2000亿美元以上（DA Davison建议的估值）。 Avride目前仅为60亿美元，是 $NBIS 市值的一小部分。但它正处于与 $UBER 合作的增长临界点，就像Waymo最初在旧金山起步但现在无处不在一样。 Nebius ( $NBIS ) 是市场中被误解的成长型公司。但作为投资者，尽早布局下一代公司才能获得最高回报
原推 ↗英文原文
Nebius [ $NBIS ] core business is insanity. 700%+ Y/Y growth to $7-9B+ ARR in 1Y. What's more insane is this. Their subsidiary can outgrow their main business 🤯 Here's why: $GOOGL Waymo, $TSLA, $AMZN Zoox, Motional, $NBIS Avride are the only 5 FSD US Robotaxi companies right now. Yes $NBIS Avride is one of the 5. - And 1 of 4 with FSD Level 4 - fully driverless, the same level as Waymo. - And 1 of 3 that are commercialized with FSD level 4 (Motional is R&D phase) Tesla [ $TSLA ] robotaxis for perspective is only at Level 2 (requires human oversight). People want to buy robotaxi companies because as Cathie Wood puts it “Robotaxis could represent 90% of $TSLA ‘s value). So they buy exposure to the segment through trillion dollar companies like Waymo through the $3.6T $GOOGL and $1.4T $TSLA. But there's a Level 4 FSD robotaxi company that is just about to compete with Waymo through $UBER: That name is Avride, a $6 billion subsidiary company that $NBIS owns 83% of, and one that the market completely has missed. Avride is an The $6B valuation was based off a Seeking Alpha analyst report (August 2025) that benchmarked Avride against Nuro's Series E valuation. Just in Jan 2025 it was estimated to be valued at $3.4 billion, growing almost double in just 6 months time (reflecting Avride's momentum with Uber and Hyundai). Key recent developments supporting the current valuation: - 2017: Avride founded though Yandex Self Driving Group - 2017-2024: Development... - October 2024: Multi-year Uber partnership for delivery robots and robotaxis - March 2025: Hyundai MOU for co-development of Level 4 autonomous vehicles - October 2025: Up to $375 million in strategic investment from Uber and Nebius - By EOY 2025: Dallas Texas Robotaxi Launch with Uber We’re now seeing 7 years of R&D starting commercialization ramp (like Waymo), through $UBER this year. and you can get this hyper scaling self-driving FSD level 4 robotaxi company. As discounted spare change of $NBIS at a $21B marketcap. 🚗 Seeing how Avride is growing triple digits Y/Y and we’re seeing the company finally commercialize after 7 years of capex into research, there’s a nonzero chance it becomes valued way more than the Nebius current market cap in 2 years. We've seen Waymo grow from a $45B marketcap (October 2024, $5.6B raised) to over $200B+ (DA Davison suggested valuation). Avride is now only at $6B and a small change of $NBIS's marketcap. But it's at the precipice of growth with $UBER, just like how Waymo started out in SF but now it's everywhere. Nebius ( $NBIS ) is the misunderstood growth company in the market. But being early to the next generation companies is where the highest returns are made as an investor
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对比特斯拉FSD与Waymo等技术等级，认为谷歌目前领先。
哈哈，$TSLA 目前感觉像是营销上的“万能灵药(snake oil)”。Waymo ($GOOGL) - L4级自动驾驶；Cruise ($GM) - L4级；Aurora - L4级；Tesla FSD - L2级。$TSLA 目前仍是L2级，仍需人类远程监控每次驾驶，其FSD营销带有“必须时刻手握方向盘”的免责声明，纯属营销噱头。不过，如果仅靠摄像头就能实现，正如你所说，其规模化潜力更大。鉴于埃隆能造出可重复使用火箭，我并不怀疑他的能力。除此之外，$GOOGL 目前在各方面都碾压其他对手。我认为更好的问题是：Aurora + Uber 能否与 $TSLA 或 $GOOGL 竞争，而非单独看某家公司。
原推 ↗英文原文
lol $TSLA feels like marketing snake oil currently. Waymo ( $GOOGL ) -Level 4 Cruise ( $GM ) - Level 4 Avride - Level 4 Tesla FSD - Level 2 $TSLA still has humans remotely monitoring every drive since it's level 2 right now and it's just snake oil marketing FSD (with disclaimers that you must be at the wheel lol at all times). If they get it right with just cameras, it has higher scale potential as you mentioned. And I don't really doubt Elon if he can make massive reusable rockets. That aside, $GOOGL is dominating every one of them right now. Think the better question to be asking is if avride + Uber can compete vs $TSLA or $GOOGL, rather than the standalone company.
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看好$NBIS因Robotaxi子公司潜力被低估，预期市值可达400B。
$NBIS 的核心业务令人惊叹。但更疯狂的是，其子公司在一年内的潜在价值可能超过主营业务。目前市场上没有公开的自动驾驶出租车(Robotaxi)公司。获取相关敞口的唯一途径是通过 $TSLA 的 Robotaxi 业务和 $GOOGL 的 Waymo。$NBIS 持有 AVride 83% 的股权，估值约 60 亿美元，并与 $UBER（也是投资者）合作以竞争 Waymo。马斯克一直宣传 Robotaxi 是一个万亿美元的市场。如果这家公司不久后市值达到 400 亿美元，我也不会感到惊讶。话虽如此，$NBIS 目前 21 美元的估值简直低得可笑。
原推 ↗英文原文
$NBIS core business is insane. But what's even more insane is that potential for their subsidiaries to be worth more than their main business in a year lol. There's no public robotaxi companies right now. The only way to get exposure is $TSLA for their robotaxis and $GOOGL for Waymo. And $NBIS has AVride ~$6B valuation 83% ownership, which they partnered with $UBER (also an investor) to compete vs Waymo.Elon's been shilling Robotaxi's as a trillion dollar market. Would not be surprised if this is a $40B company not too far in the future. That being said, $NBIS is hilariously valued at $21 now.
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质疑电竞脚本可行性，设想Optimus集成Grok 5击败T1。
@Sheep_Esports @riotgames 难道不能用脚本版的困难模式机器人来实现吗？如果 $TSLA/XAi 将 Grok 5 集成到 Optimus 中，并让该团队通过手部/光标操作击败 T1，我会印象深刻。
原推 ↗英文原文
@Sheep_Esports @riotgames Can't it already be done with scripting versions of hard mode bots? I'd be impressed if $TSLA/XAi implemented Grok 5 into like Optimus with hand/cursor movements and that team ended up beating T1.
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列举AI领域资本支出加速增长的10大证据，强调AI赛道持续高景气度与投资机遇
对于AI领域的任何人来说，很难不看好。 资本支出正在加速增长，而且是以指数级的速度。 直接流向以下几个方面： 新云服务商：$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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Nebius因AI投资组合及核心业务高增长被严重低估，有望成下一个GOOGL。
Nebius [ $NBIS ] 是目前被低估程度最高的成长型公司。它有望成为下一个市值达 210 亿美元的 $GOOGL。原因很简单：其投资组合公司令人惊叹。最极端的例子是 $FTX。回顾 $META 如何成长为万亿级巨头，不仅靠 Facebook，更靠 Instagram、Whatsapp 等投资组合公司主导了社交媒体格局。$FTX 在数字资产和前沿技术领域做了类似布局。2021 年，$FTX 投入 58 亿美元，重仓三家核心公司：1. Anthropic（13.56%，估值 25 亿）；2. Robinhood [ $HOOD ]（7.6%，估值 85.4 亿）；3. Solana [ $SOL ]（4100 万+代币）。如今，Anthropic 最新估值 3500 亿，该持股价值约 474 亿；Robinhood 市值超 1000 亿，持股价值约 76 亿；Solana 代币 131.5 美元，持股价值超 57 亿。仅这三家公司四年增值超 550 亿，还不包括 FTX 其他数十亿投资及 Chime、Layerzero、Aptos、Hidden Road（被 $COIN 收购）等。其投资组合价值超越了核心业务（试想若核心业务如 $GOOGL 搜索般增长该多好）。$NBIS 现在拥有与 $FTX（加密）、$META（社交）相同的结构，但在人工智能领域，且核心业务真实且快速增长。Nebius 持有：1. Clickhouse（28%，估值约 70 亿，2025H1 营收 6.3 亿）；2. Avride（83%，估值约 60 亿，Uber 领投后）；3. Toloka AI（~65%，估值约 6.4 亿）；4. TripleTen（100%，估值约 3 亿）。Clickhouse 服务于 Anthropic、$META、$TSLA、$NET 等；Avride 是自动驾驶出租车公司，$UBER 投资 3.75 亿以竞争 Waymo；Toloka 是 AI 标注平台，被 Amazon、Microsoft 等使用。投资组合估值合计 76 亿，增速快于多数公开成长股。而其核心业务同比增长 700%+，ARR 达 70-90 亿，现金 48 亿，服务于 $META、$MSFT 等。这可能是其被纳入 MSCI 指数前最后一个月低于 90 美元的机会，将获数亿至十亿流入。相比 $IREN 或 $CIFR，$NBIS 是唯一拥有此类投资组合的数据中心成长股。$NBIS 仅估值 210 亿，市场正在忽视这一机会。
原推 ↗英文原文
Nebius [ $NBIS ] is the most undervalued growth company right now. And it has the potential to become the next $GOOGL at a $21B market cap. There's one simple reason: It's portfolio companies are mindblowing. The most incredible example on this concept is the company $FTX. Here's the story: When we look at how $META grew into a $1T+ company, it wasn't just Facebook. It was their portfolio companies Instagram, Whatsapp, and others made Meta dominate the social media landscape. $FTX was doing something similar, but in digital assets and frontier technologies. Four years ago, in 2021, $FTX invested $5.8B into a large basket of assets. And put a large chunk into these three core companies: 1. Anthropic, 13.56% at a $2.5 Billion valuation. 2. Robinhood [ $HOOD ] 7.6% at a $8.54B valuation 3. Solana [ $SOL ], 41M+ tokens. Fast forward to today, that would have been: · Anthropic in it's latest round is worth $350B. That stake would have been worth ~$47.4B. · Robinhood is now worth over $100B. That stake would be worth ~$7.6B. · Solana is now worth $131.5 per token, making the stake well over $5.7B. Those three companies alone generated well over $55B+ in value in 4 years time, and this is not even including FTX's tens of billions of dollars + hundreds of other investments + holdings in Chime, Layerzero, Aptos, Hidden Road (bought by $COIN), and crypto. Their portfolio companies outlasted their core business (and imagine, how much it would have been worth if the core business kept scaling like $GOOGL search did alongside Youtube). $NBIS now has the same setup as $FTX did in crypto, $META in social media, but in artificial intelligence with a legitimate and incredibly rapidly growing core business. Nebius owns: 1. Clickhouse, 28% at a ~$7B valuation ($6.3 H1 2025) 2. Avride, 83% at a ~$6B valuation. (post Uber raise) 3. Toloka AI, ~65% at a ~$640 million valuation 4. TripleTen, 100% at a ~$300m valuation. · Clickhouse powers Anthropic, $META, $TSLA, $NET, and many fortune 500 companies. · Avride is a self-driving car robotaxi company, spun out of Yandex that $UBER invested in a $375M round in to compete with Waymo. · Toloka is a AI labeling platform that Amazon, Microsoft, Anthropic, and Shopify uses. $1.96B + $4.96B + $416M + $300m = $7.6B valuation in portfolio companies that are growing faster than most public growth companies. But if we look at their core business that is scaling to 700%+ Y/Y to $7-9B ARR, with $4.8B in cash, powering $META, $MSFT, Cursor, governments, and many more... This might be the last month it's under $90 before it receives hundreds of millions to low billions of extra inflows from MSCI inclusion today. There's no other datacenter growth company that has this type of portfolio if we look at crowd favorites like $IREN or $CIFR. $NBIS is only valued at $21B and the market is sleeping on this opportunity.
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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 $60 in a 6 month timeframe. Hope you enjoyed my perspective. There's a lot of x at price posts, but I try to leave a more qualitative breakdown (+ part quantitative but leave out a lot of technical for easier reading) to help retail develop their own conviction and understanding. Building understanding is important to create internal valuation models yourself rather than blindly following along FinX posters + capitulating when stock prices temporarily drop. Happy to discuss more if you drop your own portfolio + concentrations.
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感冒简评：META/NBIS错杀强买，警示IREN/ETH，宏观看多AI基建。
11月4日 - 个股分析 + 宏观 清仓抛售：$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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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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作者通过分部估值法论证 $NBIS 当前被低估，预计一年内市值可达 1000 亿美元。
为什么我认为 $NBIS 在一年内可以轻松达到约 400 美元/股或 1000 亿美元+市值： 目前，Nebius 的估值为 240 亿美元（增至 1000 亿美元需增长 316%+）。 假设 2026-2027 年零增长： 核心业务：310 亿–365 亿美元 分部估值求和(Sum of Parts)：71 亿美元（打 6 折） 中值估值 = 390 亿美元估值（+62.5%） 这尚未计入任何增长，而增长可能将其推升至 1000 亿美元。 今天，投资者实际上仅为核心业务支付了 130 亿美元，而其正以 1000% 的同比增长率增长——从季度营收 1 亿美元增至 13 亿美元，毛利率为 60-70%。 市场通常是前瞻性的，但对于 Nebius，它只盯着脚下。这些只是非正式的想法和简短分析。 业务估值： __________________ 当前现金等价物（扣除 42 亿美元后）~ 58.8 亿美元 投资组合公司：~ 26.8 亿美元 Clickhouse（28%，估值 63.5 亿美元），Avride（17%，估值 ~31 亿美元），Toloka（51%，估值 ~7.2 亿美元）- Avride/Toloka 为投机性估算。也未考虑 Clickhouse 更新的估值（可能已增长）。 实物资产：~ 20 亿美元中值 GPU（~7.5-10 亿美元），服务器，网络（4-6 亿美元），土地/建筑（3-5 亿美元），电力/冷却（2-3 亿美元）。总实物资产介于 16.5-24 亿美元之间。 保守的分部估值求和：~ 105.8 亿美元（截至今天，未考虑投资组合公司升值）。Nebius 已通过票据转换消除了大部分债务。 通常拥有投资组合的公司不会以 1:1 的净资产值(NAV)交易，因此我在计算时砍掉了 105.8 亿美元的 40%，考虑到这主要是现金，这是保守的。 _ 无增长基准情景 现在进入核心业务： FY 2026-2027 预估：2025 财年预计 11 亿美元 + 来自 $MSFT 的 38 亿美元（合同/5）（显然可能存在收入滞后，因此平均分布在 2026-2027 年）。 如果 Nebius 完全停止基于 2025 年预测的增长，他们在 2026/2027 年的最低年化经常性收入(ARR) 将达到 49.8 亿美元。 毛利率目前约为 71.2%（上一季度），但可能在 60-70% 之间 + 管理层目标 30% 息税折旧摊销前利润(EBITDA)。 以下是核心业务在增长完全停止时的计算： 企业价值/收入(EV/Revenue) 6–8 倍：312 亿 | 416 亿美元 企业价值/息税折旧摊销前利润(EV/EBITDA) 15–25 倍：234 亿 | 390 亿美元 前瞻性的基准/悲观情景企业价值 = 310–420 亿美元（基于收入）或 230–390 亿美元（基于 EBITDA） （核心业务）+ 分部估值求和 = 335.8 亿美元中值无增长情景 + ~105.8 * 0.6 = ~390 亿美元。 接下来我们将考虑如果 Nebius 增长的情况。 __________________ 有增长情景： 以下是仅基于核心业务如何达到 1000 亿美元。 $NBIS 拥有约 50 亿美元已确认 ARR。 Nebius 唯一需要的是 ARR 增长至 80-120 亿美元： 再签 1 个超大规模云厂商(hyperscaler)交易 + SMB 扩张。 只要达成 GCP 或 Meta 交易，我们就能达到该目标。（这只是高层面的，不深入 GPU 折旧争论、电力增加、执行风险等）。我对一年内达成另一个超大规模云厂商交易持乐观态度，因为更多 Mag7 最近签署了交易（例如 Meta 与 $CRWV 的 140 亿美元交易）。 此外，其他一切保持不变：毛利率 ≥60–70% 和 EBITDA 目标：~30%。好消息是，通过白皮书，我们也可能看到 Nebius 的利润率扩张。 NBIS 在昨天的白皮书中声称接近 100% 的 GPU 利用率，这将证明比 $CRWV 或任何矿工转型(+ NBIS 没有有毒利息债务，且客户群更多元化)更高的利润率和每 GPU 收入是合理的。 他们的软件编排本身就是一个护城河，并非所有新云(neoclouds)或比特币矿工转型都能维持同样的高毛利率。 乐意争论为什么全栈、利润率、与 SMB 的客户多元化很重要（如果你想比较 $IREN 的 GW 容量或其他人）-> 只需看看 $ORCL 在建设上损失 1 亿美元+。 无论如何，由于运营支出(opex)成本 + 利润率 + 全栈 + 客户群，我对 $NBIS 的看法优于其他任何新云。（如果有任何遗漏或计算错误，请告诉我，也欢迎辩论） 但除此之外，当前 230 亿美元市值是一场清仓大甩卖，没有计入增长，而它今天本应估值 390 亿美元。然后还有 1 个超大规模云厂商交易带来的上行空间，一年内在 1000 亿美元市值下获得 4 倍回报。
原推 ↗英文原文
Why I think $NBIS can easily hit ~$400/share or $100B+ market cap in 1 year: Right now, Nebius trades at a $24B valuation (316%+ increase to $100B). If we pretend that there's 0 growth in 2026-2027: Core Business: $31B–$36.5B Sum of Parts: $7.1B (40% slashed) Midpoint Valuation = $39B valuation (+62.5%) This is before factoring in any growth, which could scale it up to $100B. Today, investors are effectively paying $13B for the core business today, which is on track to grow 1,000% YoY-from $100M in quarterly revenue to $1.3B , with 60-70% gross margins. Markets are usually forward looking, but for Nebius, it only looks at the ground. These are just informal thoughts and a small writeup. Business Valuation: __________________ Current cash equivalents (post $4.2B) ~ $5.88B Portfolio Companies: ~$2.68B Clickhouse (28%, $6.35B valuation), Avride (17%, ~$3.1B valuation), Toloka (51%, ~720M valuation) - speculative estimates on Avride/Toloka. Also did not consider Clickhouse updated valuation, which likely grew). Physical Assets: ~$2B midpoint GPUs (~750m-1B), Servers, networking ($400-600m), Land/buildings ($300m-$500m), power/cooling ($200-$300m). Total phyiscal assets sitting between $1.65B-$2.4B Conservative Sum of parts: ~$10.58B (As of today, not considering portfolio companies going up). Nebius has eliminated most debt from the note conversion. Typically companies with portfolios never trade 1:1 with NAV, so I just slashed 40% off 10.58B or so when doing calculations which is conservative considering it's mostly cash. _ BASE CASE WITH NO GROWTH Now going into the core business: FY 2026-2027 EST: $1.1B projected FY 2025, + $3.8B from $MSFT (contract / 5) (obviously maybe revenue lag, which is why it's on avg 2026-2027 anyway). If Nebius stopped growing completely off their 2025 projections, they would do $4.98B minimum ARR in 2026/2027. Gross margins are sitting at ~71.2% (from last quarter), but likely between 60-70% + management aiming 30% EBITDA. These calculations from the core business are if growth stopped completely: EV/Revenue 6–8×: $31.2B | 41.6B EV/EBITDA 15–25×: $23.4B | $39B Forward-looking EV on the base/bear case = $31–42B (revenue) or $23–39B (EBITDA) (Core Business) + Sum of Parts = $33.58B midpoint no growth case + ~$10.58 * .6 = ~$39B. And now we'll consider that next if Nebius grows. __________________ CASE WITH GROWTH: Now here's how we get to $100B just based on core business. $NBIS has ~$5B ARR confirmed. Only thing Nebius needs is ARR growth to $8–12B: 1 more hyperscaler deal + SMB expansion. All it takes is a GCP or Meta deal and we hit that target. (This is just high-level, not going into GPU depreciation arguments, increasing power, execution risk, etc). And I'm bullish on the chances of another hyperscaler deal happening in 1 year time when more Mag7 signed deals recently (eg Meta $14B with CRWV). Also everything else would need to stay the same gross margin: ≥60–70% and EBITDA target: ~30%. On the bright side, with the whitepaper, we've also likely seen expanding margins with Nebius. NBIS is claiming near-100% realized GPU utilization through their whitepaper yesterday, which would justify higher margins and higher revenue per GPU compared to $CRWV or any miner pivot (+ NBIS has no no-toxic interest debt, and a more diversified client base). Their software orchestration is a moat in and of itself and not all neoclouds or bitcoin miner pivots can sustain the same high-gross margins. Happy to argue why full stack, margins, customer diversification with SMBs are important (if you want to compare $IREN GW capacity, or others) -> just look at $ORCL losing $100m+ on buildout. Regardless, I'm bullish on $NBIS over every other possible Neocloud because of opex costs + margins + fullstack + client base. (Feel free to let me know if I missed anything or calculated wrong, also open to debate) But that aside, current $23B marketcap is a firesale that does not price in growth when it should be valued at $39B today. Then there's the upside on 1 more hyperscaler deal though for 4x return in 1 year at a $100B MC .
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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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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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警告勿做空PLTR/TSLA等邪教股，建议高位卖出TSLA寻找更好机会。
@LiquidB_B 像 $PLTR、$TSLA 这样的“邪教股”是不做空(Cult Stocks)的。因为普通散户会不看基本面(Fundamentals)就把工资往里投。我在 $150 时持有过 TSLA，但在我看来，在这些价位我绝不会碰，并且会卖出。其他地方有更好的机会。
原推 ↗英文原文
@LiquidB_B There's cult stocks like $PLTR, $TSLA that you don't short. BC regular ppl will put their paychecks into them without looking at fundamentals. I had TSLA at $150 but wouldn't ever touch at these levels and would sell it imo. Better opportunities elsewhere.
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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 $116 though.
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警示MSTR杠杆风险，看好AMZN/META波段，回避RIVN/TSLA。
呃，我不会建议粉丝在内容提供商(CSP)上使用2倍杠杆ETF，尤其是$MSTR，它本身波动性已经足够大。如果遭遇波动率衰减导致的强制平仓，情况可能会变得很糟，尽管我确实认为MSTR正在触底。 我同意大多数观点，比如AMZN或META，通常我会在$BULL跌至13美元左右时进行波段交易。 由于基本面原因，我不会碰$RIVN或$TSLA。
原推 ↗英文原文
Uh I would not tell followers about CSPs on 2x leveraged ETFs especially on $MSTR, which is volatile enough. If they get assigned with volatility decay it might get messy, though I do agree MSTR is bottoming. I'd agree on most though like AMZN or META, usually I swing trade $BULL low $13. I wouldn't touch $RIVN or $TSLA cause of fundamentals.
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解析超大规模云厂商资本支出向NeoClouds转移的逻辑，看好NBIS等标的的高回报潜力。
NeoCloud 论点：超大规模云厂商资本支出漏斗 为什么我要投入 150 万美元以上到 NeoClouds（新型云服务商），以及为什么这可能带来 200-300%+ 的回报。 🔹 分类 Mag7（美股七巨头）合约方：$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。
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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 $11 now. ABOVE current price funding is a bullish tell. - GPU depreciation (valid concern but it's almost like oil, even older models kept their value and still deliver equity). - Valuation (I still think we're just getting started. If NBIS scales to 6B rev next year 75% gross margin), 26B marketcap is extremely tiny. - NVDA potentially launching their own GPU-as-a-service and directly competing. Right now these Neoclouds are NVDA's answer to preventing concentration risk to Azure/AWS/etc. - Custom hyperscaler chips like TPU, Trainium. But likely years away, since they're still begging for NVDA compute and signed 5Y-10Y contracts. Regardless these neoclouds like Nebius are really undervalued relative to forward revenue/gross margins. We're still very early. Make sure to ride the Neocloud wave like Crypto/TSLA with Trump election or NVDA with OpenAI release. Of course this is highly speculative and I wouldn't YOLO full port calls, but Risk vs. Reward on these little 5-20B neoclouds powering AI workloads for Google/MSFT/etc, the cash cows of Mag7, is worth it. (Trade time Horizon: 8m - 1 year.) This is the single best asymmetric AI infrastructure trade for 2025-2026.
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TSLA基本面差，但或因马斯克拉升股价预期而买入。
@unusual_whales 说实话，$TSLA 的基本面很烂，但可能值得买入，只是因为 @elonmusk 看起来想拉升股价 lol。
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@unusual_whales Honestly, $TSLA has crap fundamentals, but might be a buy just because @elonmusk looks like he wants to pump the stock price up lol.
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博主坚持集中持仓高确信度标的，不看好特斯拉基本面。
@babyfolio 我并没有很分散的投资组合，我专注于几只基本面优秀且具备潜力的高确信度股票，并灵活调整仓位。 我在 $TSLA 身上看不到这些特质 lol，不过各有所好吧。
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@babyfolio I don’t really have a wide portfolio, I focus on a few high convictions stocks with great fundamentals + potential and shift around. I don’t see that with $TSLA lol but to each their own
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作者认为$HIMS增长强劲，确信将引发空头回补。
@jliljliljlil 关于轧空(Short Squeeze)没有具体的时间点，它发生在空头头寸减少时。要么是出现50%以上的剧烈飙升，要么像2020年的 $TSLA 那样持续一年的缓慢轧空。鉴于 $HIMS 的增长势头以及在欧洲拥有120万客户，我非常有信心他们会进行空头回补(Cover)。
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@jliljliljlil There’s no pt on short squeezes, it’s whenever short interest decreases. Either there’s a whopping spike that goes up 50%+ or some sustained squeeze over a year like TSLA back in 2020. Given $HIMS growth + 1.2M customers in Europe, I have high conviction that they’ll cover.
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建议9月降低风险偏好，转向盈利股或超跌股，规避高贝塔股。
一个小建议：9月前后降低风险偏好。像$UNH、$NVO、$GOOGL、$UPWK、$KSPI...这样的盈利股，或者年内下跌的$MRVL、$SG、$SNAP...可能会表现不错。如果你满仓高贝塔(high beta)股如$PLTR、$DUOL、$HOOD、$COIN、$CRCL、$NVDA、$MSTR、$TSLA...祝你好运。
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Just a tip: Lower risk appetite around September. Profitable stocks like $UNH, $NVO, $GOOGL, $UPWK, $KSPI... or stocks down YTD - $MRVL, $SG, $SNAP might do well. If you're full port calls on high beta like $PLTR, $DUOL, $HOOD, $COIN, $CRCL, $NVDA, $MSTR, $TSLA... Good luck.