$ORCL
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IREN 仍是差价
现在还有人继续看多像 $IREN 这种 F 级 neocloud，真是奇怪。 在 60 亿美元稀释悬压下？ 而 $NBIS 现在和 $ORCL、$MSFT 一起看起来都已经去风险了？ https://t.co/vIdzdk4Hqi
英文原文
How are there people still long on an F-tier Neocloud like $IREN. Amid a $6,000,000,000 dilution? When $NBIS is up there with $ORCL and $MSFT looking derisked? https://t.co/vIdzdk4Hqi
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用订单和 backlog 说明变压器 / 开关设备是数据中心的关键瓶颈。
当前瓶颈：变压器 / 开关设备。 交易思路：在 184 加元买入 Hammond（约 22 亿加元 / 15 亿美元）的多头。 它们主导的市场包括： - 变压器（干式，多年瓶颈，约占市场 23%） - 开关设备（2-3 年瓶颈） - 还生产液体型产品（5 年瓶颈，规模更大） 我个人预计其价格会像 NAND 一样上调，因为 $AMZN、$MSFT 等公司都在争夺配额。 你可能见过这类说法： “美国一半的数据中心建设被推迟或取消，增长受限于电力基础设施短缺”…… 再往下看： “为了解决短缺……加拿大、墨西哥……成了 AI 数据中心高压变压器的最大供应国”…… 猜猜谁在加拿大的 Guelph、墨西哥的 Monterrey 3 和 4，以及美国都有布局？ Hammond。 再看文章引用的，为什么超大规模客户的数据库扩张正在崩掉： “这些挫折背后的主要原因，是关键电气组件的可获得性——比如变压器、开关设备。” 机构大概都在看 Powell、Eaton 之类的公司……但他们可能不知道？ 这些公司其实会买 Hammond 的变压器再装进自己的开关设备里（“大量卖给数据中心、开关设备制造商”）。 它们在变压器市场的份额其实很大（例如干式约 23%）。 最有说服力的信号： -> 2025 年 backlog 同比增长 122%。我们可以据此推测超过 10 亿加元。 例如，公司 2025 年销售额为 8.98 亿加元，产能已经顶到上限。管理层说，2025 年第三季度末的订单价值相当于整个第三季度 backlog 的 53%。 考虑到 2025 年第四季度营收是 2.54 亿，而 backlog “翻了一倍多”，我们可以推算总 backlog 超过 10 亿加元。 另外： “去年毛利率压缩是因为墨西哥工厂建设，但预计毛利率都会上升，工厂扩建会在 2026 年第二季度转化为加速收入增长”，也就是现在。 下行风险在于原材料成本（铜、电工钢）如果再次上升，不过既然处在这种瓶颈里，他们是可以提价的。 我个人的 2026 年前瞻市盈率估计大概是 18-21 倍，2027 年不到 15 倍，因为有产能爬坡。 但如果他们能一边提价，一边接到超大规模客户的紧急订单，前瞻市盈率甚至有可能到个位数。不过那可能会和新并购混在一起。 总之它还是很便宜。 简单总结一下： $AMZN、$MSFT、$META、$GOOGL、$ORCL 的数据中心正在被变压器 / 开关设备短缺卡住。 市场似乎错过了这家市场份额很大的小公司，尽管它有 backlog 可见度，而且随着产能扩张上线，营收还在增长。 我个人觉得很有吸引力，所以建了多头仓位。 当然，这只是我的个人想法，做决定前请自己 DYOR。
英文原文
The current bottleneck: Transformers/Switchgear. Trade Idea: Long Hammond (~2.2B CAD / ~$1.5B USD) at 184 CAD. They dominate the market for: -Transformers (dry, multi year bottleneck ~23% of market), -serve to switchgear (2-3Y bottleneck) -and manufacture liquid too (5Y, larger bottleneck) I personally anticipate components price hikes like NAND, as $AMZN, $MSFT and others compete for allocation. You might have seen: “Half of US data center builds have been delayed or canceled, growth limited by shortages of power infrastructure”… Then you go further: “To address shortages… Canada, Mexico… became the biggest suppliers of high-power transformers for AI data centers to AI data centers” Guess who is in Canada (Guelph).. Mexico (Monterrey 3 and 4)… and the US? Hammond Then here’s the reason the articles cite why hyperscaler DB buildouts are falling apart: “Major reason behind these setbacks is the availability of key electrical components — such as transformers, switchgear”. Institutions are probably looking at Powell, Eaton, and others… but little do they know? Companies like these actually buy Hammond’s transformers to put inside their own switchgear (“strong sales into data centres, switchgear manufacturers") Their market share over the transformers market is actually pretty large (eg. ~23% dry). The most compelling signal: -> 122% Y/Y 2025 backlog increase. And we can infer this to be 1B+ CAD. Eg. company achieved 898m CAD in sales in 2025, capacity ceiling. Management said close of Q3 2025 orders were valued at 53% of the entire closing third-quarter backlog. Given that Q4 2025 revenue was 254 million and the backlog is "more than doubled," we can infer a total backlog value exceeding 1 billion CAD. Also: “Gross margin compression last year was due to the buildout of their Mexico facility, but both gross margins are expected to increase and the facility expansions are expectied to turn into accelerated revenue Q2 2026)” which is now. Downside is if raw material costs (copper, electrical steel) spike again, but given this bottleneck, they can price hike. Personal FWD P/E estimates would be ~18-21 for 2026, <15 for 2027 from volume ramp. But I think it’s possible to hit single digit fwd P/E if they do price hikes mixed with hyperscaler emergency orders. But that might get a little mixed with the new acquisition. Regardless still looks cheap. Just a TLDR: $AMZN, $MSFT, $META, $GOOGL, $ORCL datacenter are being bottlenecked because of a lack of transformers/switchgear. Seems like markets missed this little player with large market share, despite backlog visibility and increasing revenue from capacity expansion coming online. I personally found it pretty compelling, so I went long. Just sharing my personal thoughts, of course DYOR before making any decisions yourself.
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把 OpenAI 比作地缘武器化的主体，认为 AI capex 还会延续。
OpenAI 就是科技界的伊朗。 如果他们没资金，却还造成了那么大的连锁反应——就像伊朗把无人机送到所有邻国一样——那会非常危险…… 从 $MSFT 的算力 backlog、$ORCL Stargate、$AMD 交易、$NVDA 交易、$CRWV 交易、$AMZN 交易，到 SoftBank 交易。 再加上 Cerebras 和很多私有公司的交易。 这些都足以说明，如果它倒下，支撑这些公司估值的很大一部分也会一起崩。 OpenAI 融了 1220 亿美元，我猜这部分也在某种程度上武器化了这种连锁反应，就像伊朗在控制海峡时那样。 所以 AI capex 的这波行情大概率还会再持续至少一年。 它们是 AI 牛市的起点；如果它们现在出问题，反而会成为戳破泡沫的人。
英文原文
OpenAI is the tech equivalent of Iran. They would have caused so much contagion - like Iran sending drones to all their neighbors - with funding they didn’t have…. From $MSFT compute backlog, $ORCL Stargate, $AMD deals, $NVDA deals, $CRWV deals, $AMZN deals. SoftBank deals. Deals with private companies like Cerebras and many others. So much so, that if they went down, so would a huge part of what gave these companies their valuations. OpenAI raised a whopping $122B, my guess is partly weaponizing this contagion like what Iran is doing to the Strait. So now the AI capex spend rally is likely to last another 1 year min. They’re the first to start the AI rally; and if they go under, at this point they’ll be the one to pop the bubble.
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反问 AAOI 直连这些巨头客户还有什么更好的客户可言。
@Jornka329996 $AAOI 直接连着 $ORCL、$MSFT、$AMZN，甚至可能还有 $META，还需要什么新客户？ 这大概已经是他们能拿到的最好客户了，哈哈。
英文原文
@Jornka329996 How is $AAOI direct to $ORCL, $MSFT, $AMZN, and maybe $META needing new clients? Those are probably the best they can get lol
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AI数据中心供应链严重依赖亚洲，中东冲突加剧流动性风险，稀土应成美国国安优先事项
Hi Ron，这个话题分为两个不同的部分： 1. 超大规模云服务商（$ORCL、$META、$AMZN）：他们的支出超过了盈利水平（$GOOGL 是罕见的例外，而 $AAPL 相对而言支出并不多）。 因此市场担心这并没有转化为实质性的收入。 尤其是像 Oracle 这样负债累累的公司，降息是使其稍微可持续的重要因素（如果你看债务利息，数目非常庞大），而降息既能推动产能扩张，也能带来实质性的成本节省。 由于伊朗战争和原油价格上涨，原定2026年的降息预期已经落空。 雪上加霜的是，人们担心他们的 AI 数据中心建设供应链会中断。 如果你看看他们的 AI 数据中心部件产地： - 来自台湾 - 来自韩国 - 来自日本 这是一个全球化的供应链。 虽然美国看起来没问题，因为它在石油、液化天然气、氦气和其他半导体供应链所需的资源方面是绝缘的。 但我们的亚洲合作伙伴并不处于长期冲突中。 所以当你看到亚洲那些规模较小、专业化的公司时，它们正在苦苦挣扎。 这种影响会层层放大，一直传导到终端的亚马逊网络服务 AI 数据中心（成本上升、供应短缺）。 2. AI 整体而言：投资者对此非常乐观。 问题在于实现路径，而美国在表面上看起来被中国卡住了。 - 美国投入过多，而中国和其他国家正在蒸馏我们的最新模型（需要 KYC 端点管控），坐享其成。 - 随着 AI 项目的规模扩大，它正变得越来越依赖中国公司。 我认为这是因为美国缺乏稀土，这应该成为我们的头号国家安全优先事项。 这是制造新一代 AI 硬件、机器人供应链和太空探索所需的。 这些资源都由中国和俄罗斯控制。即使是领先的"西方"公司，我已发现它们仍然主要依赖中国/俄罗斯。 这是我们确保前沿项目安全最大的漏洞之一。 如果你看光子学（AI 硬件如何通过光加速），我们没有西方的供应链来满足需求。主要材料来源是中国的 $AXTI 和中国的 Vital 两家公司，然后流转到日本或其他公司，最后进入美国。 如果你看我们的人形机器人项目（我们如何将 AI 带入现实世界），$TSLA Optimus 的所有躯体都是在中国制造的。 美国供应链缺乏制造这些组件所需的稀土，因为成本太高。 3. 中东地区的冲突 近期下跌的一个重要原因是流动性问题。我们在阿联酋、中东的合作伙伴主要在为私募市场提供资金（想想 OpenAI），他们大量的支出流向 AI 市场。 他们也是从 Meta 到微软等科技七巨头最大的投资者之一。 如果他们的油田继续受到干扰，他们可能不得不从美国市场撤出流动性。 这既影响这些公司在 AI 上的支出能力，也会导致美国市场的抛售下跌。 如果有takeaway（要点）的话：请把稀土列为美国头号国家安全优先事项。特朗普总统已经投资了 $USAR、$MP 和几个单独的公司。 但还有许多更多至关重要的、尚未盈利的公司，它们对于制造 AI、自动驾驶汽车和机器人都是必需的。我们需要打破对中国/俄罗斯的依赖。
英文原文
Hi Ron, so there's two different parts to it: 1. Hyperscalers ( $ORCL, $META, $AMZN): They're spending more than they have with profit ( $GOOGL is the rare exception, and $AAPL isn't really spending much relatively). So markets are worried less worried it's translating into material revenue. Especially with companies like Oracle taking on immense amounts of debt, rate cuts were a large driving factor in why it's slightly more sustainable (if you look at debt interest, it's massive), and cutting rates drives both forward expansion and material amounts of savings. Due to the War in Iran, rising crude, former projections with cutting rates in 2026 are now gone. This is compounded that there are worries that their AI buildout supply chain gets disrupted. If you look at where their AI datacenter parts are made: - it comes from Taiwan - it comes from Korea - it comes from Japan It's global. While the US might look like it's fine, since it's insulated to Oil, LNG, helium, and others needed for the semiconductor supply chain. Our Asian partners are not in a long drawn out conflict. So when you look at companies in Asia that are more small and niche they are struggling. And this gets compounded tens of times until it reaches all the way down to the end Amazon Web Services AI datacenter (increased costs, lack of supply). 2. AI as a whole: Investors are very bullish on it. It's just how we get there, and America looks strangled by China optically. - America is spending way too much on it, with China and others distilling our latest models (need KYC endpoints), and reaping all the benefits. - As we scale our AI programs, it's becoming increasingly reliant on Chinese companies. I'd argue it's because America lacks the rare earths, which should be our #1 national security priority. This is needed to make new generations of AI hardware, robotic supply chains, and Space. They're all controlled by China and Russia. Even the leading "Western" companies, I've identified they're mainly relying on China/Russia still. And this is one of the biggest vulnerabilities in securing our frontier programs. If you look at photonics (how AI hardware is sped up by light), we no Western supply chain to fulfill our needs. It's $AXTI (in China), and Vital (in China) as the two main sources of materials needed to make them, that gets passed down to Japan, or other companies before they end up in US. If you look at our humanoid program (how we move AI to the real world), all the bodies of $TSLA Optimus are made in China. American supply chains lack the rare earths needed to make the components because it gets too expensive. 3. Disruption in the Middle East A large part of the recent drop is mainly due to liquidity. Our partners in the UAE, Middle East are largely funding private markets (think OpenAI) and a lot of their spend going to AI markets. They're also one of the biggest investors in Mag7 from Meta to Microsoft. If their oil fields continue getting disrupted they may have to pull out liquidity from US markets. This impacts both the amount of money these companies can spend on AI. As well as causing a drop in American markets from selling. If there's any takeway: Please make Rare Earths Amercia's #1 national security priority. President Trump already invested in $USAR, $MP, and a few individual names. But there are many more extremely critical, yet unprofitable companies that are needed to make AI, to self driving cars, to robotics. And we need to break our reliance on China / Russia.
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不喜欢 Jane Street 持有和自己一样的 AAOI，因为他们会放大波动。
这就是为什么我不喜欢 Jane Street 持有和我一样的 $AAOI。 他们是做波动交易的，尤其喜欢搞散户最爱的名字，然后触发止损和恐慌。 但如果你知道自己持有什么： 一家美国公司，6.69 十亿美元市值，做的是整条收发器供应链： 从激光 -> 设计 -> 组装。 如果 $MSFT、$AMZN、$ORCL 这些公司真的会把他们能买的都买了，那对我个人来说，这个价格简直是捡漏。 对高 beta 股票来说，入场前把 conviction 和仓位管理好特别重要。 否则你就会一遍又一遍地在底部割肉、在顶部追高。
英文原文
And... this is why I don't like Jane Street owning the same stocks I do like $AAOI. They trade volatility, especially with retail favorite names and trigger stop losses/panic. If you know what you own though: $6.69B for a US company that makes the entire transceiver supply chain: From Laser -> Design -> Assembly. With likely $MSFT, $AMZN, $ORCL buying anything they can make, is a steal for me personally. With high beta stocks, it's really important to build conviction and manage sizing correctly before entering a trade. Otherwise you'll end up capitulating the bottom and buying the top over and over.
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强调 SIVE 通过 CHIPS Act 和国安项目对美国很重要，并给出更高估值判断。
如果你到现在还不知道，$SIVE 通过 CHIPS 法案对美国国家安全很重要。 而且尤其是，它还是超大规模云 AI 供应链的光源。 到目前为止，他们已经拿了大约 1160 万美元的两笔 CHIPS 法案资助： 1. 和 $ERIC 以及 Raytheon $RTX 一起做 FR3 beamformer ICs 2. 和 $BA（LSE）BAE Systems 一起做 EW 技术 CEO 还暗示 2026 年会有更多来自 CHIPS 的资金。 小盘股几乎从来拿不到美国政府这种支持。 你手里有一家市值 3.3 亿美元的公司： 它对美国半导体业务的国家安全至关重要， 也对超大规模云供应链（$MSFT、$META、$AMZN、$ORCL 等）里的光子学至关重要， 通过 $MRVL Celestial、Ayar、Jabil、ONet 等链条。 关于扩产和 capex 的问题，现在已经由 Win Semi 合作基本回答了。 至于“等待 CPO”的机会成本，现在也被 OFC 上 Jabil 1.6T 可插拔模块放量这件事回答了。 $SIVE 是光子学里最被低估的宝石之一，我个人认为它今天就应该值 20 亿美元以上。
英文原文
If you didn't know by now $SIVE is important to US national security via CHIPS act. But especially, as the light source for hyperscaler AI supply chains. They got two CHIPS acts grants ~$11.6M so far: 1. FR3 beamformer ICs with $ERIC and Raytheon $RTX. 2. EW Tech with $BA (LSE) BAE Systems With more coming funding from CHIPS in 2026 hinted by the CEO. Small caps almost never get this sort of support from the US government. You have a company sitting at $330M: That's critical to US National Security for their Semi arm. and Critical to Hyperscaler supply chains ( $MSFT, $META, $AMZN, $ORCL, etc) for Photonics through $MRVL Celestial, Ayar, Jabil, ONet, and others... The main question regarding scale vs. capex is now answered by Win Semi partnership. And the question regarding "CPO waiting" opportunity cost is now answered by the Jabil 1.6T pluggable ramp from OFC. $SIVE of the most unknown gems in the photonics space and I personally think this company should be $2B+ today.
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用“AI 养牛”调侃 AI 造成的自动化失业会继续外溢到更多行业。
我当时在推演那家做“牛用 AI”的 20 亿美元公司会带来哪些二阶效应。 然后我突然意识到一件很残酷的事： 牧羊犬也要失业了。 AI 带来的岗位替代会波及一切。 $ORCL、$AMZN、$META 等公司都在因为 AI 自动化裁员。 现在连你家附近的狗也要失业了。 我的宠物鱼是不是也要下岗了？
英文原文
I was mapping second-order effects of the $2B company that does AI for Cows. I just realized something brutal: Shepard Dogs Are Going to Be Unemployed. AI displacement is coming after everything. $ORCL, $AMZN, $META, and others are laying off workers from AI automation. And now your local dogs will be unemployed too. Is my pet fish going to be out of a job too?
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认为 AI 已引发不可逆的岗位替代，投资相关基础设施和瓶颈是对冲失业冲击的主要方式。
这个消息真的很令人心碎： $META 裁员 20% $ORCL 裁员 $AMZN 长期将有 60 万名工人被机器人和 AI 取代。 这是一种反乌托邦未来。 企业在没有人工劳动成本的情况下，仍然能赚创纪录的利润。 唯一能从中受益的办法： 把 AI 当成对冲工具去投资。 未来几年，想逃离 AI 造成的永久底层阶级，感觉最主要的办法就是这样。 AI 产生的股东权益回报，将流向股东。 而那些没投资股票、只能靠工资过活的人之间的差距会继续拉大。 这不是未来，而是已经在发生。 - Opus 4.6 已经足够替代今天大多数软件工程师。 - Waymo 已经开始在旧金山这样的地方替代出租车司机。 - 我们知道 $TSLA 的人形机器人也快来了，因为它们在中国已经普及。 这件事现在就在发生。 伊朗的扰动只是 AI 建设加速过程中的短期事件。 AI 已经到达拐点，而且似乎不可避免。 你已经看到美国就业修正接近减少 100 万，这非常惊人。 而且我们正在看到，新一代 LLM 正在由它们前一代模型自己构建，AI 正在逼近奇点（AI 递归增长）。 如果你要投资那些运行 AI 所需的算力和硬件： 数据中心 / 电力 / 电网板块： $NBIS、$XLU、$VRT、$BE 光子板块，负责扩展 AI： $LITE、$COHR、$AAOI、$TSEM 半导体板块，负责芯片： $NVDA、$TSM、$ASML、$INTC 存储板块，负责芯片： $MU、$SNDK、SK 海力士、三星 ASIC，负责超大规模云 AI 推理： $AVGO、$MRVL、Mediatek 良率 / 测试板块，确保芯片能工作： $TER、$AEHR、Advantest 以及 AI 所需的原材料或基板： $AXTI、$COPX、$SOI 还有很多其他公司，都在成为对抗大规模 AI 失业的单一、最大对冲工具。 谁掌握了算力的生产资料（瓶颈、材料、数据中心）： 谁就掌握了 AI 的未来。
英文原文
The news is pretty heartbreaking: $META 20% layoffs $ORCL layoffs $AMZN 600,000 workers long term layoffs as they get replaced by robotics and AI. This is a dystopian future. Companies end up with record profits, without the cost of human labor. The only way to benefit: Investing in AI as a hedge. The next few years feels like the main way to escape the permanent underclass, caused by AI displacement. The return on equity derived from AI will go to the shareholders. While the gap between those who live paycheck to paycheck, not invested in stocks. Will continue to grow. This is not the future. - Opus 4.6 is good enough to replace most software engineers today. - Waymo has started to replace taxi drivers in places like SF today. - We know $TSLA Humanoids are coming next as they’re widespread in China, today. This is happening now. Disruptions in Iran are only temporary to the accelerating AI buildout. AI has hit the inflection point, and looks inevitable. You’re already seeing US job revisions down close to 1 Million, which is staggering. And we’re seeing the newest LLMs be built by their previous models, as AI approaches the singularity (AI led recursive growth). Investing in where the compute and hardware needed to run the AI: From the datacenter/power/grid sector: $NBIS, $XLU, $VRT, $BE Photonics sector needed to scale AI: $LITE, $COHR, $AAOI, $TSEM Semi sector needed for the chips: $NVDA, $TSM, $ASML, $INTC Memory sector for the chips: $MU, $SNDK, SK Hynix, Samsung ASICs for hyperscaler AI inference: $AVGO, $MRVL, Mediatek Yields sector to make sure the chips work: $TER, $AEHR, Advantest Along with the raw materials or substrates needed for AI: $AXTI, $COPX, $SOI And many others become the single, largest, hedge against widespread AI displacement. Whoever owns the means of compute (bottlenecks, materials, datacenters): Owns the future of AI.
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Anduril 获得 200 亿美元合同，对 PLTR 等整合型供应链伙伴有利，但对大型下游伙伴提振较小。
Anduril 获得了美国战争部授予的累计 200 亿美元合同。 这对 $PLTR、$KRKNF、$SPIR、$ACHR 以及其他供应链 / 集成合作伙伴是利好消息。 而像 $ORCL、$AMD、$NVDA 这种更大的合作方，拿到的顺风可能没那么多。 “Anduril……获得了一份固定价格合同，累计总额 200 亿美元，用于整合当前和未来的商业解决方案，包括自家的开放架构、AI 驱动的 Lattice 套件、集成硬件、数据、计算基础设施以及技术支持服务。”
英文原文
Andruil $20 Billion USD cumulative total contract awarded by US Department of War. Positive news for $PLTR, $KRKNF, $SPIR, $ACHR and other supply chain/integration partners. Larger partners from $ORCL, $AMD, and $NVDA are less likely to get much of a tailwind. “Andruil… was awarded a firm-fixed-price contract with a cumulative total of $20,000,000,000 to consolidate current and future commercial solutions, including the proprietary, open-architecture, AI-enabled Lattice suite, integrated hardware, data, computer infrastructure, and technical support services”
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认为 AAOI 已经进入多家大厂路线图
@Sher_Lockknows 没有。但 $AAOI 其实不太需要那种催化，因为他们大概率已经进入了 $AMZN、$MSFT、$ORCL / $META 的路线图。
英文原文
@Sher_Lockknows No. But $AAOI doesn’t need it since they’re likely in $AMZN, $MSFT, and $ORCL / $META roadmaps.
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Rosenblatt 分析师认为 $AAOI 市值被低估，且可能是 $ORCL 客户。
据 Rosenblatt 分析师称，$ORCL 可能是 $AAOI 的超大规模客户(hyperscaler client)。 当我首次发布关于 $AAOI 的观点时，大家的怀疑程度就像我对 $AXTI 的论点帖子一样强烈。 但别只听我的一面之词。 我在财报后分享的确切观点，现在也得到了其他机构分析师的呼应： “考虑到其 2027 年的收入潜力为 40 亿美元，该公司低于 80 亿美元的市场资本化市值过低。” —— Rosenblatt。 鉴于收入增长，光子(photonics)类股票的重定价之路可能还很漫长。
英文原文
$ORCL likely $AAOI hyperscaler client per Rosenblatt analyst. When I first posted about $AAOI everyone had extreme doubts like on my thesis post on $AXTI. But don’t take it from me. My exact same sentiment I shared after earnings is now echoed by other institutional analysts: “The company’s sub-$8B market cap is too low when its 2027 revenue potential is $4B “ - Rosenblatt. Likely a long way to go for repricing photonic names given revenue ramp.
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甲骨文澄清阿比林数据中心进展，回应彭博社引发的抛售。
彭博社关于 OpenAI 和 $ORCL 的报道在周五引发了大规模抛售。 涉及从 $LITE 到 $MU 的半导体供应链。 今天，甲骨文发布声明回应彭博社： “近期关于阿比林（Abilene）站点的媒体报道是虚假且不正确的。 首先，Crusoe 和甲骨文正紧密协作，以破纪录的速度交付全球最大的 AI 数据中心之一。 其次，甲骨文已完成额外 4.5GW 的租赁，以履行我们对 OpenAI 的承诺。” 此前，商务部周四已驳斥了关于 $NVDA 和 $AMD 出口管制的虚假报道。
英文原文
Bloomberg’s piece on OpenAI and $ORCL triggered a massive selloff Friday. Of the semi supply chain from $LITE to $MU. Today, Oracle put out a statement in response to Bloomberg: “Recent media activity about the Abilene site are false and incorrect. First, Crusoe and Oracle are operating in lockstep to deliver one of the world's largest AI Data centers in Abilene at record-breaking pace. Second, Oracle has completed leasing for the additional 4.5GW to deliver on our commitments to OpenAI.” This comes following the Department of Commerce denying the false reports around $NVDA and $AMD export controls on Thursday.
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谷歌CTO暗示AI支出激增，澄清市场误判，看好AI基建加速。
@4intheflames $GOOGL 人工智能首席技术官刚刚明确暗示未来8年将增加支出。 https://t.co/zSf77JAHBQ （该推文引用了 @aleabitoreddit 的推文，引用内容仅供理解语境）： “谷歌数据中心建设规模可能超过1万亿美元” 这对谷歌TPU生态系统1.5万亿美元以上的资本支出意味着什么： 对$LITE、联发科、$AVGO、$TSM、SK海力士、三星等均为广泛利好。 在接受福布斯关于人工智能资本支出的采访时，$GOOGL首席技术官表示： “今年（资本支出）在1750亿至1850亿美元之间，假设不会下降，人们可以想象这在10年内可能延伸到某个巨大的数字。” 福布斯评论道：“谷歌的数据中心野心与OpenAI有着巨大差异：谷歌是一台赚钱机器。” 昨天，市场抛售了OpenAI和$ORCL相关的半导体股票，导致一些“星际之门”相关项目暂停。 市场将OpenAI的成长阵痛与由最富有的超大规模云服务商资助的更广泛的人工智能基础设施建设混为一谈。 从$GOOGL和印钞机般的Mag7角度来看： 人工智能基础设施建设在未来十年看来只会加速。
英文原文
@4intheflames $GOOGL CTO of AI literally just signaled increase spend over the next 8 years. https://t.co/zSf77JAHBQ
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谷歌AI基建支出庞大且持续加速，利好相关半导体供应链。
“谷歌数据中心建设规模可能突破1万亿美元” 这对谷歌TPU生态系统1.5万亿美元以上的资本支出(capex)意味着什么： 对$LITE、联发科(Mediatek)、$AVGO、$TSM、SK海力士、三星等普遍利好。 在接受福布斯关于AI资本支出的采访时，$GOOGL首席技术官(CTO)表示： “今年在1750亿至1850亿美元之间，假设不会下降，人们可以想象这在10年内可能延伸到某个巨大的数字” 福布斯评论道：“谷歌的数据中心野心与OpenAI有着巨大差异：谷歌是一台赚钱机器” 昨日，市场抛售了OpenAI和$ORCL相关的半导体股，暂停了一些Stargate相关项目。 市场将OpenAI的成长阵痛与由最富有的超大规模云服务商(hyperscalers)资助的更广泛的AI基础设施建设混为一谈。 从$GOOGL和印钞机般的Mag7角度来看： AI基础设施建设在未来十年看来只会加速。
英文原文
“Google’s Data Center Buildout Could Top 1 Trillion” The implications for $1.5T+ in capex spend for the Google TPU ecosystem: From $LITE, Mediatek, $AVGO, $TSM, SK Hynix, Samsung and others are widely positive. In an interview with Forbes on AI capex spend, $GOOGL CTO stated: “We’re at $175 to $185 billion this year, one could imagine, assuming it's not going to go down, that this could extend to some big number over 10 years” Forbes comments: “There’s a big difference between Google’s data center ambitions and OpenAI’s: Google is a money-making machine” Yesterday, markets sold off semi names from OpenAI + $ORCL putting a pause on some Stargate related projects. The market conflated OpenAI's growing pains with the broader AI infrastructure buildout funded by the richest hyperscalers. From $GOOGL and a money-printing Mag7 perspective: The AI buildout only looks to accelerate over the next decade.
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澄清$ORCL与OpenAI合作计划正常，指出彭博报道误导。
@owenli25 新发布的新闻称，$ORCL 与 OpenAI 在“星际之门(Stargate)”项目上的计划仍按原定轨道推进。 看来彭博社(Bloomberg)的报道连续第二天产生了误导。 https://t.co/wRTrJCXkM2
英文原文
@owenli25 New news got published saying $ORCL plans with OpenAi remain on track with stargate. Looks like Bloomberg reporting was misleading for a second day in a row https://t.co/wRTrJCXkM2
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澄清Oracle数据中心项目正常，视AI板块错杀为买入机会。
针对彭博社报道的最新回应：“Oracle与OpenAI的数据中心项目现有计划仍在按部就班进行。” 昨日因虚假的出口管制新闻，从$NVDA到$LITE的半导体板块遭遇暴跌。现在，关于$ORCL的消息是否会导致又一个类似的交易日？
英文原文
In a new response to Bloomberg article: “Existing plans for Oracle's data center project with OpenAi remain on track” The first Bloomberg report caused a crash in Semis from $NVDA to $LITE yesterday from false export control news. And now we have potentially another one day regarding involving $ORCL?
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AAOI获三大云厂商包销产能，营收有望超越LITE，引发市场炒作。
如果 $AAOI 披露有三家超大规模云服务商客户（可能是 $META 或 $ORCL）加上 $AMZN 和 $MSFT 正在买断其所有产能。然后他们从 $COHR 激光器到设计再到组装实现端到端全流程。接着他们预测营收将超越另一家市值 550 亿美元的美国公司 $LITE。嗯，难怪会有这么多炒作。
英文原文
If $AAOI reveals there's three hyperscaler clients (maybe $META or $ORCL) + $AMZN + $MSFT) buying out any capacity they make. Then they do end-to-end from $COHR lasers to design to assembly... And then they're projecting revenue to leapfrog the other $55B US company in $LITE. Yeah, makes sense there's a lot of hype.
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超大规模云厂商负债投入AI基建，资金流向英伟达等上游供应商。
@LuffyDDK 他们真的在负债 lol 世界上最富有的公司正在为人工智能基础设施建设而负债。 尽管拥有数百亿美元的净利润，从 $AMZN 到 $GOOGL 的公司都大幅增加了资本支出(capex)： 以至于部分公司预计将在 2026 年出现净现金流出。 以下是结果及受益者： 亚马逊 ( $AMZN ) 2025: +460 亿美元 2026 (预估): +110 亿美元 Alphabet ( $GOOGL ) 2025: +803 亿美元 2026 (预估): +130 亿美元 Meta Platforms ( $META ) - 净债务(Net Debt) 2025: +229 亿美元 2026 (预估): -70 亿美元 (预计转为净债务) 微软 ( $MSFT ) 2025: +492 亿美元 2026 (预估): +590 亿美元 甲骨文 ( $ORCL ) 2025: -980 亿美元 (净债务) 2026 (预估): -1150 亿美元 微软似乎处于最安全的位置。虽然亚马逊和谷歌主要依靠运营收入为人工智能基础设施建设提供资金。 然而，巨大的现金流缓冲已消失。甲骨文和 Meta 似乎正在通过负债来推动建设，尽管 $META 实现了惊人的运营收入数字。 现在，资金流向哪里？ 运营收入预测： 1. $NVDA - 美国 1350 亿 -> 1865 亿 -> 2401 亿美元运营收入 2. 三星 - 韩国 ~302 亿 -> ~1700 亿 -> ~2267 亿美元 3. SK 海力士 - 韩国 ~327 亿 -> ~1240 亿 -> ~1610 亿美元 4. $TSM - 台湾 ~622 亿 -> ~863 亿 - ~1033 亿 – 1053 亿美元 5. $AVGO - 美国 ~415 亿 -> ~628 亿-651 亿 - ~847 亿-933 亿美元 当然，这些是基于分析师预测的粗略估计。 然而，从总体趋势来看，这看起来像是一种杠杆式赌注，即人工智能基础设施建设完成后将带来自由现金流(FCF)的分红回报。 但明显的赢家似乎是英伟达、三星、SK 海力士、博通和台积电。 随着超大规模云服务商(hyperscalers)中部分公司陷入债务，他们将资产负债表转移给这些供应商，期望从人工智能支出中获得长期投资回报率(ROI)。
英文原文
@LuffyDDK They literally are going into debt lol https://t.co/A4KDf93pYk
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博主复盘YTD 316%收益，分享交易策略、核心持仓优势及免费分享初衷。
年初至今：316.4% 从2026年1月到2026年2月。 对我短期交易和多头持仓的回顾： > 年初对像 $GLXY、$SMCI 和 $IREN 这样进行税务收割(tax harvested)的股票进行波段交易(swing traded) > 搭乘委内瑞拉股票从 Gold Reserve、$AVAV 到 $CVX（看涨期权）上涨的顺风车 > 在战争入侵后买入像 $LPTH、$OSS、$AIRO 这样的国防股，以及受“跟随领导者”催化剂驱动的 $ONDS > 对 $INTC 进行催化剂交易，并正确把握了财报时机。 > 因对线色变化(wire color change)的担忧而对 $CRDO 进行波段交易 > 在超大规模客户损失(hyperscaler client losses)被错误报道后对 $MRVL 进行波段交易 > 像 $META 一样正确预判了财报 > 在 $NBIS 和 $CIFR 大幅抛售至 $70 和 $11 时，通过保证金(margin)加仓 > 从 $HOOD 下跌到 $CRDO 下跌再到复苏的过程中进行波段交易。 > 在比特币跌至 $73k 时买入，并在 $62k 时大量使用保证金博取复苏 > 像 $ETOR 这样的复苏股在抛售和财报后表现良好。 > 正确把握了像 $RPI 这样的公司的催化剂 > 利用亚洲股票与欧洲/美国时区之间的时间滞后套利(time lag arbitrages) > 利用 $EWY 和其他指数的隐含波动率扩张(IV expansion) > 把握轮动进入电力/电网股如 $XLU 的时机，目前正对像 $RDDT 这样的股票进行波段交易， 我肯定漏掉了一些，但这些是我主要发布的内容！ 此外，我会进行日内交易(day trade)： 例如 $ORCL 因发行导致8%抛售后的复苏，或 $SOFI 因无关紧要的卖方降级导致随机10%抛售。 我不在主时间线发布这些内容，因为我不想影响人们的买卖决策。 只想提供方向性思路，让人们得出自己的结论。 除此之外，我很高兴今天一切都上涨了，包括我的对冲(hedges)头寸。 与此同时，我的核心多头组合来自： - 从 SK Hynix 到 $AXTI 的光子学(Photonics)和存储，以及像 $AEHR 和 $FORM 这样的供应链瓶颈，其表现远超 Burry 的 $PLTR 每年 $415 的回报。 - 来自韩国/日本股票如 Nittobo、Kioxia 和 Unimicron 的多头持仓，有力支撑了美股回撤。 并非我组合中的所有股票都是绿色的，如 $CRCL、$CPSH、$VLN、$NBIS 或最近的 $INFQ。 但重要的是绿色持仓的集中度高于红色。与此同时，SPY 年初至今仅为 .55%，大多数高贝塔(high beta)股票年初至今大幅下跌。 我也不希望大家跟随我所有的操作，因为板块轮动、期权套利和基板瓶颈(substrate bottlenecks)很难消化。由于我也根据宏观/财报催化剂在约30只股票之间轮动，而大多数人只关注几只并持有数年。 但是，当2025年第四季度的短期回撤（如果人们买了短期期权）出错时，确实让人难受，直到现在才恢复超过平均成本。 然而，我对核心多头如 $NBIS 最终将大幅跑赢市场非常有信心。 希望大家能从中获得一两个有趣的交易思路或学到一些东西！ —— 只是有些反思，我认为我最近受欢迎的一个原因是我没有试图推销任何东西。这也不是我的全职工作（我经营一家科技公司），我只是出于乐趣做这件事，所以对最近的受欢迎程度感到非常惊讶。 我认为我的优势可能是信息综合与映射 -> 发现市场遗漏的阿尔法(alpha) -> 转化为金融科技和半导体领域的可执行多头思路。 与发布突发新闻或擅长拆解一两只特定股票的账户相比。 无论如何，我免费发布所有想法只是为了在能帮助他人时获得满足感。 所以，人们觉得我的想法有趣或信号足够强而愿意倾听，这让我心存感激。
英文原文
Year to Date: 316.4% From January 2026 into February 2026. Reflection of my short term trades and longs: > Swing traded tax harvested stocks like $GLXY, $SMCI, and $IREN start of the year > Rode Venezuela stocks from Gold Reserve, $AVAV, to $CVX (calls) up > Bought into defense like $LPTH, $OSS, $AIRO after invasion from war + $ONDS “follow the leader” catalyst > Catalyst traded $INTC and timed earnings correctly. > Swing traded $CRDO off wire color change fears > Swing traded $MRVL after erroneous reporting on hyperscaler client losses > Got earnings right like $META > Portfolio margined into $NBIS and $CIFR on the major selloff to $70 and $11. > Swing trades things from $HOOD drop to $CRDO drop into recovery. > Bought Bitcoin dip to $73k and heavy margin on $62k into recovery > Recovery plays like $ETOR after selloff and ER helped. > Getting catalysts on companies like $RPI correct > Time lag arbitrages between Asian equities and European/US time zones. > IV expansion off $EWY and other indexes. > Timing rotation into power/grids like $XLU and currently swing trading stuff like $RDDT, I’m sure I missed a bunch but these were the main ones I posted about! On the side I would day trade: Eg. $ORCL 8% selloff from offering into recovery or random 10% selloffs on immaterial $SOFI sellside downgrades. I don’t post stuff like these on my main timeline since I don’t want to influence when people buy/sell. Just want to give directional ideas and let people come to their own conclusions. Aside from that I’m happy everything went up today, including my hedges. This is all while my core long portfolio from: - Photonics and memory from SK Hynix to $AXTI to supply chain bottlenecks like $AEHR and $FORM have been mogging Burry’s $PLTR $415/year returns. - Longs from Korean/Japanese equities like Nittobo, Kioxia, and Unimicron have hard carried US equity drawdowns. Not everything in my portfolio is green like $CRCL, $CPSH, $VLN, $NBIS or recently $INFQ. But what matters is you have more concentration in green than red. This is all while SPY is YTD: .55% and most high beta stocks are heavily red YTD. I also don’t want people to follow along everything since sector rotation, option arbitrage, and substrate bottlenecks are hard to digest. Since I also rotate around like 30 different stocks based on macro/earning catalysts, whereas most people focus on a few and hold on for years. But it does hurt when more if get something wrong with short term drawdowns from Q4 2025 (if people bought short term options) and it’s only now recovered past cost average. However, I’m extremely confident in core longs like $NBIS to strongly outperform in due time. Hopefully people can take away one or two trade ideas that they find interesting or learn something! —— Just some reflection, i think a reason for my recent popularity is I’m not trying to sell anything. This is also not my full time job (I run a tech company) and I was just doing this for enjoyment, so very surprised by the recent popularity. I do think my edge is probably information synthesis and mapping -> discovering alpha markets missed -> into actionable long ideas across fintech and semis. Compared to accounts that publish breaking news or excel in breakdowns of one or two specific stocks. Regardless, I publish all my ideas for free just to get fulfillment if I can help others. So it does bring me gratitude that people find my ideas interesting or high-signal enough to listen.
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科技巨头负债投入AI基建，资金流向英伟达等上游供应商。
世界上最富有的公司正在为AI基础设施建设而负债。 尽管拥有数千亿美元的净利润，从 $AMZN 到 $GOOGL 的公司都大幅增加了资本支出(capex)： 以至于部分公司预计将在2026年出现净现金为负的情况。 以下是结果及受益者： 亚马逊 ( $AMZN ) 2025年：+$460亿 2026年（预估）：+$110亿 Alphabet ( $GOOGL ) 2025年：+$803亿 2026年（预估）：+$130亿 Meta Platforms ( $META ) - 净债务(Net Debt) 2025年：+$229亿 2026年（预估）：-$70亿（预计转为净债务状态） 微软 ( $MSFT ) 2025年：+$492亿 2026年（预估）：+$590亿 甲骨文 ( $ORCL ) 2025年：-$980亿（净债务） 2026年（预估）：-$1150亿 微软似乎处于最安全的位置。虽然亚马逊和谷歌主要依靠运营收入来资助AI基础设施建设。 然而，那巨大的现金流缓冲已经消失。甲骨文和Meta似乎正在通过负债来推动建设，尽管 $META 实现了惊人的运营收入数字。 现在，资金流向了哪里？ 运营收入预测： 1. $NVDA - 美国 $1350亿 -> $1865亿 -> $2401亿 运营收入 2. 三星 - 韩国 ~$302亿 -> ~$1700亿 -> ~$2267亿 3. SK海力士 - 韩国 ~$327亿 -> ~$1240亿 -> ~$1610亿 4. $TSM - 台湾 ~$622亿 -> ~$863亿 - ~$1033亿 – $1053亿 5. $AVGO - 美国 ~$415亿 -> ~$628亿-$651亿 - ~$847亿-$933亿 当然，这些是基于分析师预测的粗略估计。 然而，从总体趋势来看，这看起来像是一种杠杆式赌注，即AI基础设施建设完成后将带来自由现金流(FCF)的红利。 但明显的赢家似乎是英伟达、三星、SK海力士、博通和台积电。 随着超大规模云服务商(hyperscalers)中部分公司陷入债务，它们将资产负债表转移给这些供应商，期望从AI支出中获得长期投资回报率(ROI)。
英文原文
The richest companies in the world are going into debt for the AI buildout. Despite hundreds of billions in net income, companies from $AMZN to $GOOGL have increased capex so much: That some are projected to be net negative cash in 2026. Here are the results and who profits: Amazon ( $AMZN ) 2025: +$46.0 billion 2026 (Est): +$11.0 billion Alphabet ( $GOOGL ) 2025: +$80.3 billion 2026 (Est): +$13.0 billion Meta Platforms ( $META ) - Net Debt 2025: +$22.9 billion 2026 (Est): -$7.0 billion (Expected to swing into Net Debt) Microsoft ( $MSFT ) 2025: +$49.2 billion 2026 (Est): +$59.0 billion Oracle ( $ORCL ) 2025: -$98.0 billion (Net Debt) 2026 (Est): -$115.0 billion Microsoft appears to be in the safest position. While Amazon and Google have been largely funding the AI buildout with operating income. However, that large cashflow buffer has vanished. Oracle and Meta appear to be in debt to fuel the buildout, despite $META achieving staggering operating income numbers. Now, where does the money flow into? Operating Income Projections: 1. $NVDA - USA $135.0B -> $186.5B -> $240.1 Billion Operating Income 2. Samsung - Korea ~$30.2B -> ~$170B -> ~$226.7 Billion 3. SK Hynix - Korea ~$32.7B -> ~$124B -> ~$161.0 Billion 4. $TSM - Taiwan ~$62.2B -> ~$86.3B - ~$103.3B – $105.3 Billion 5. $AVGO - America ~$41.5B -> ~$62.8B-$65.1B - ~$84.7B-$93.3B Of course, these are rough estimates based on analyst projections. However, from the general trend, this looks like a leveraged bet that the AI buildout will pay off dividends in FCF after they're finished. But the clear winners appear to be Nvidia, Samsung, SK Hynix, Broadcom, and TSMC. This comes as hyperscalers, with some going into debt, transfer over their balance sheets to them, expecting a long term ROI from their AI spend.
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博主分享日内交易获利案例，因账户规模扩大停止晒单。
不，只是用于日内交易的头寸。例如，我隔夜买入因下跌5%的$ORCL，并在盘前上涨4%时卖出，在一两个小时内获得了9%的收益。我对许多不同的股票重复进行这种操作。不幸的是，我的账户规模变得太大，所以我不再发布交易记录，只发布更多分析性和论点性的内容。
英文原文
Nope, just shares for day trades. For example bought $ORCL overnight the 5% drop and sold on the 4% rise premarket for a 9% gain in an hour or two. I just do this with a lot of different stocks and repeat. Unfortunately my account got too big so I don’t post trades anymore, just more analytical things and thesis posts
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分析$ORCL复苏取决于AI云盈利及降低OpenAI风险。
我对它是否会复苏没有强烈看法。 主要看两个因素： - 市场希望看到其AI云业务(CPO)实现盈利（例如搞定编排、客户多元化以提升利用率） - 降低来自OpenAI的交易对手风险（可能IPO或更多融资） 否则，任何为AI云购买GPU的公司近期都因折旧和债务担忧而暴跌。 如果你认为$ORCL能做到这两点，那么可能是一个不错的复苏多头机会。
英文原文
I don’t have a strong opinion on whether or not it recovers. It’s two main factors: -market wants proof their ai cloud segment is profitable (eg. nailing orchestration, customer diversification which plays into utilization) - lower counterparty risk from OpenAI (maybe ipo, or more funding) Otherwise anyone who buys GPUs for Ai clouds tanked recently over depreciation and debt concerns. If you think $ORCL can do those two then might be a good recovery long
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Oracle因OpenAI项目面临巨大交易对手风险及盈利不确定性。
我关注 Neoclouds 已有一段时间，因此对 $ORCL 很熟悉。情况很微妙： 主要看点是资本支出(CapEx)从 350 亿美元增至 500 亿美元，以及约 2000 多亿美元的数据中心(DC)租赁。 这主要是为了“星门(Stargate)”项目，主要客户是 OpenAI，这带来了巨大的交易对手风险(counterparty risk)。 众所周知，OpenAI 拥有超过 1 万亿美元签约资本支出，但没有足够的资金来支付。因此，你在财报中看到的用于投资回报(ROI)支出的 3000 多亿美元签约收入，可能会轻易消失。 你可能认为寻找其他客户很容易，但任何利用率滞后(utilization lag)，加上资产/租赁折旧，都会造成巨大伤害。 第二部分是： -> 将其转化为高利润率业务极其困难。 你必须结合 GPU 折旧、GPU 编排（这真的很难，目前只有 Nebius、Coreweave 等少数几家公司能做好），以及其他因素，才能将收入转化为自由现金流(FCF)。 当像 $CRWV 和 $ORCL 那样承担大量债务时，这会侵蚀任何自由现金流，且你仍需偿还债务。 《信息(The Information)》在一两个月前泄露的消息称，Oracle 在其 GPU 业务板块面临大量盈利问题（如 GPU 利用率问题等）。这造成了影响。 总体而言，主要不确定性在于与 OpenAI 的交易对手风险。其核心业务强劲，但新建设施 shaky（不稳定/令人担忧）。 因此我认为，这是针对不稳定交易对手的过度资本支出，且存在该支出能否转化为自由现金流或更多亏损的疑问。
英文原文
I've been covering Neoclouds for awhile so I'm familiar with $ORCL. It's nuanced: Main thing is CapEx -> $50B from $35B, and $200B+ or so in DC leases. This is mainly for the Stargate project, mainly for OpenAI, which presents incredible counter party risk. As you know OpenAI has $1T+ in contracted capex spend, but not enough money to pay for it. So that $300B+ in contracted revenue you see in earnings for ROI spend, could easily just disappear. You might think it's easy to just get another customer but any utilization lag, combined with asset/lease depreciation, hurts. A lot. Second part is -> It's incredibly hard to turn this into a high margin business. You have to combine GPU depreciation, GPU orchestration (which is really difficult Nebius, Coreweave are the few currently that can do this well), amid other things to turn that revenue into FCF. And when you take on a lot of debt as seen with $CRWV, and $ORCL that cuts into any FCF + you still need to pay it off. The Information leaked news a month or two ago that Oracle was facing a lot of issues with profitability on their GPU segment (GPU utilization issues, etc). So that took a toll. Overall, main uncertainty is counterparty risk with OpenAI. It's core business is strong, but new buildout is shaky. So I would argue it's excessive Capex for a shaky counterparty and questions on whether that turns into FCF or more losses.
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看空CRWV因债务与折旧风险，建议多NBIS/CIFR空CRWV对冲。
$CRWV 可能是我能想到的唯一一家市值超 500 亿美元且很可能破产的公司。至少 $ORCL 拥有盈利的核心业务，并持有大量资产，例如 15% 的 TikTok 股份。 对我来说，做空 Coreweave 的理由很明确，纯粹因为其大部分收入将用于支付债务利息。再加上 GPU 折旧，情况更是雪上加霜。 但进行对冲是个好主意。我个人会做多 $NBIS、$CIFR，同时做空 $CRWV，这对长期投资来说似乎不错。Nvidia 目前仍在维持它们的生存。
英文原文
$CRWV is probably the only $50B+ company I can think of that is likely going to go bankrupt. At least $ORCL has a profitable core business and owns tons of assets like 15% of Tiktok. Coreweave is a clear short to me purely because a large part of their revenue will be used to pay off debt interest. Then you compound that with GPU depreciation. But it's a good idea to hedge. I would personally long $NBIS, $CIFR short $CRWV, seems decent for long term. Nvidia is keeping them alive for now.
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Oracle因过度依赖OpenAI面临巨大交易对手风险，长期前景堪忧。
尽管$ORCL股价在300多美元时，我也曾表达过类似观点，当时他们预测资本支出(Capex)将在一年内从250亿美元激增至500亿美元以上。这是为了履行5000多亿美元的积压订单。但当客户是OpenAI（例如3000亿美元的Stargate项目）时，这些积压订单的意义就变了。他们借入巨额资金只为单一客户建设，而鉴于OpenAI的其他合同义务，这构成了最明显且极端的交易对手风险。加上在Gemini面前失去收入份额，他们最终违约的可能性越来越大。我高度怀疑Sam Altman能否维持1万亿美元以上的合同义务，即使进行IPO（他们前几天刚与Cerebras签署了另一项100多亿美元的合同）+ 他们只是在传播风险传染，试图在资金耗尽时获得美国政府的兜底。这种对可疑交易对手的债务扩张掩盖了其其他业务板块，我认为市场上有很多更好的做多标的，而不是去赌OpenAI。当然这只是我的观点，我们可能会看到因Softbank等近期对OpenAI的注资而带来的Oracle短期反弹，但我不认为这种势头能持续多年。
英文原文
I've been saying this about $ORCL in the 300's though too when they projected $25B capex to $50B+ in just 1 year time. This is to fulfill $500B+ in backlog. But that backlog doesn't matter when it's OpenAI (eg. $300B Stargate). They're borrowing so much to build out on a sole customer, which happens to be the most obvious + extreme counterparty risk given OpenAI's other contractual obligations. When you compound that with losing revenue share to Gemini, it looks increasingly likely they'll default at some point. I have high doubts Sam will find a way to sustain $1T+ in contractual obligations, even with an IPO (they just signed another $10B+ one with Cerebras the other day) + are just spreading contagion so they try and get backstopped by US government if they run out of funds. This type of debt buildout on a questionable counterparty overshadows their other business verticals, and my opnion is that there's a lot better longs out there than taking a risk on OpenAI. Just my opnion though, we might see a short term oracle recovery bc of openai's recent funding from softbank and others but I don't think it can be sustained over the years.
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发布1月25日美股评级，强烈看好AI、内存及美国供应链瓶颈股，回避高估值与稀释风险标的。
1月25日评级。欧盟关税及$INTC财报后更新。 强烈买入： $SNAP $META 三星电子 SK海力士 $MU 欣兴电子 $TSM $CRCL $AXTI $LPTH $COPX $LIT $AEHR $FORM $AMKR $AVGO $MRVL 买入： $COIN $SMCI $GOOGL $FIG $AMZN $IBIT $RDDT $TTD $HIMS $HOOD $COHR $AMBA $IREN $POET $AAOI $LASR $VPG $OSS $INTC $UMAC $ONDS $AIRO $DPRO $AVAV $BULL $ETOR VLN NBIS GLXY CIFR HUT WULF 存疑 $VELO $SKYT 回避 $UAVS $BKKT WLMT SLNH $PLTR CRWV $ORCL $BMNR $IONQ, RGTI, QBTS _ 强烈买入 Snapchat - 底部约在$7.4，我认为在此位置非常强劲。随着内存资本支出减少及内存变现进入2027年，自由现金流(FCF)增加。只需等待重估。 Meta - 营收同比增长26%极其强劲，上季度产生超$100亿自由现金流。预计下季度财报后走势将走强，此前因光学(环比EPS光学效应超700%)导致BBB抛售，现在应已消化。 三星电子 - 半导体领域的圣杯，三星同时提供高带宽内存(HBM)和代工(Fab)敞口。 SK海力士 - 内存超级周期 美光 - 内存超级周期，但有美国背景支持。 欣兴电子 - 针对HBM、IC载板、玻璃基板、CoWoS及其他所有瓶颈环节的“邪恶”长线持仓。 台积电 - 印钞机，字面意义上不会出错。 Circle - 预计降息2-3次可能会大幅损害Circle净利润，因此已被定价。但在$160亿市值时是极佳的长线标的，他们正在印钞，且应开始看到美元稳定币(USDC)的扩张。 AXTI - LPTH: 磷化铟(InP)/锗等瓶颈。将成为2026年的巨大主题。只需等待AXT的供应链中断或Lightpath的黑钻(Black Diamond)在美国制造。我认为由于产能爬坡->收入增加，下行风险极低，但类似HBM的“登月式”涨价可能存疑。 COPX - 锂：稀土/材料如铜、锂是2026年的极佳长线标的。与上述瓶颈类似，来自中国的供应链中断将导致资金流向确保供应+建设新供应链。 AEHR - 说实话，他们处于AI和机器人两个热门垂直领域。$550万索诺玛(Sonoma)订单可能与美光和碳化硅(SiC)测试有关。看起来是市值低于$10亿的极佳“登月”标的。 FORM - 由于涉及DRAM/HBM及代工/逻辑，可能在美国供应链中变得重要。良率在HBM4中尤为重要。 AMKR - 美国本土制造供应链及台积电->美国转移的极大受益者。 博通 - 财报后近期大幅回调。鉴于超大规模客户ASIC将继续爬坡（尽管有一些延迟），我认为在此位置强烈买入。 Marvell - 与博通故事相同，Marvell因微软Maia延迟传闻而抛售。只需等待2027年营收约翻倍，当市场开始定价这一点，以及在Celestial收购后，他们在互连等其他领域做得很好。 买入 Coinbase - 加密货币近期回调使Coinbase在$570亿市值下价值再次合理。我从未喜欢其交易所部分，但为贝莱德IBIT ETF提供基础设施+与Circle的USDC收入分成，赋予Coinbase相当不错的长期价值。 SMCI - 从$60+暴跌回$30+呈现了极具吸引力的机会。市场极度担忧毛利率->SMCI向海外扩张，特别是主权AI+购买低端Nvidia GPU。且SMCI在那里的毛利率应会提升。也可能因为与客户达成的交易变得“粘性”。他们的营收增长并未停滞，仍达$360亿+。 GOOGL - 此时Gemini可能会接管ChatGPT，所以我会继续做多谷歌。 Figma - 软件板块抛售为许多被重挫的标的如Figma提供了良好机会，其拥有极高的毛利率+稳健增长。 亚马逊 - 价格基本与去年持平，他们一直在增长，AWS表现良好，涉足机器人+太空低轨卫星(LEO)，看起来是未来极佳的长线标的。 比特币 - 始终是极具吸引力的长线标的 Reddit - 估值高，但毛利率极高且不会消失，因为每个人都在用Reddit。 TTD - 2025年的抛售再次呈现了极具吸引力的估值 HIMS - 说实话，在$29时对我极具吸引力，可能会再次放入强烈买入，但当然营收减速非常令人担忧。主要Alpha在于市场未定价Zava收购，仅凭庞大的客户群，他们就能从新客户中衍生大量营收。 Robinhood - 从$140抛售回$100再次为Robinhood提供了良好机会。他们不会消失，加上银行+其他新产品营收扩张，应带来积极顺风。 Coherent - 长线美国供应链，特别是光子学、InP等。 AMBA - 针对边缘AI推理用于机器人爬坡+边缘计算的“登月”长线标的。 POET - 现在基本是1/2现金，通过Celestial间接进入Marvell+超大规模客户。鉴于承销商在$7.25买入，$6.8的股价具有吸引力。 AAOI - 与微软Maia和AWS Trainium绑定的长线标的。两者都尚未真正起飞，所以只是等待游戏。 LASR - 定向能武器非常酷。我不太喜欢基本面如20%左右的营收增长，但技术实在太酷了。 VPG - 与Optimus爬坡绑定的长线标的。我们应在2026年底看到工业用例，2027年底看到消费用例，所以Optimus生产可能现在开始或Q2影响资产负债表。 OSS - 国防板块及边缘AI+$2亿合同的长线标的。 INTC - 做多美国政策，财报并未改变任何观点，只是短期价格。 UMAC - 在此水平上是美国无人机制造的极佳长线标的。 ONDS, Airo, DPRO - 与AIRO, DPRO相同，看多无人机板块。相比几周前美国入侵委内瑞拉并威胁格陵兰时，没有太多巨大的顺风，但主题上看多。 AVAV - 关于将研发类合同->长期合同的错误信息导致抛售，呈现了相当大的上行空间 BULL - 我喜欢像Robinhood, Webull等拥有大量零售用户的券商，因为一旦拥有客户群，就有无尽的变现方式。抛售回$8呈现了极具吸引力的上行空间 ETOR - 抛售过度，净利润同比高，基本50%现金，下行风险低。只需等待财报重估。他们表现也不错，AUM同比70%+，所以不明白为何这样定价。 VLN - 不再像以前那样接近1:1资产/净值，曾有一段时间他们有$1100万+投资(下跌63%)毛利率，$9300万现金，所以会更接近1.1-1.2亿 : $1.4亿市值，这说不通。话虽如此，仍有$8000万远期营收，毛利率从63%->69%，看起来重估机会相当大。市场似乎只是不喜欢与某国相关的公司如Etoro，我想 Nebius - $150亿Clickhouse估值仅显示了分部加总(SOTP)，我不惊讶他们的子公司如Avride最终会超越主营业务。话虽如此，由于$20亿+ ATM在公开市场出售，近期有卖压。随着他们在2026年底达到$70亿ARR目标，应会极速爬坡。 GLXY, CIFR, HUT, IREN, WULF - 继续做多colo及其他新云板块标的。话虽如此，大多数自2025年以来已上涨30-40%+，所以它们不再是强烈的买入，因为已被定价。但仍有很多上行空间。 存疑 VELO - 很多人问我对此的看法，因为FinX喜欢这只股票。他们有很酷的客户如SpaceX，但基本面看起来糟糕。 ~$1180万现金 + $1750万发行 vs. ~$2300万债务。他们几乎没有剩余跑道，现在买入的人可能会被稀释。 Velo是拥有像IQE(欧洲InP供应链)这样极佳客户群但基本面糟糕的完美例子。 SKYT - 它是美国本土制造供应链的极佳标的，用于量子组件或边缘等酷东西。受益于芯片法案，但营收增长非常缓慢。它比Velo是更好的投机性长线，因为基本面更好。 24%左右的低毛利率，非常低的运营利润率，显然已计入市值，但美国纯代工应是一个溢价的好故事。底线是增长不够快。 回避 UAVS - 无尽的稀释机器，超过100%的市值已给予可将对市值25%以下的股份100%+转换为零售出售的套利投资者 BKKT - $3亿ATM稀释，而市值为$5.5亿。无尽的稀释机器 沃尔玛 - 43倍市盈率，不可能。 SLNH - 前方有大量稀释。 Palantir - 担忧估值P/E Coreweave - 担忧巨额债务，$10亿+债务利息严重损害自由现金流。然后是OpenAI的分配/建设，如果考虑到Gemini正在接管OpenAI的市场份额，对其能否履行合同义务存在极度、极度的担忧。 Oracle - 可能有技术性反弹，但说真的，他们为OpenAI(如Stargate)花费了太多资本支出，像Coreweave一样，OpenAI在能否履行合同义务方面存在极度担忧 BMNR - 无尽的稀释机器为愚蠢的项目融资，如$2亿投入Mr. Beast的公司。预期长期ETH质押ETF，做空BMNR，溢价将消失，例如$2亿现金投入Mr. Beast的公司流动性很差。 IONQ, RGTI, QBTS - 量子估值非常拉伸。 _ 总体想法： 我个人保持极度做多，这只是个人想法，非投资建议(NFI)。 许多小盘股和投机性公司自1月1日以来已经重估，我不认为许多50-100%的涨幅会持续（周五我们看到这些标的中有很多获利了结）。 话虽如此，特朗普正试图进一步降息（再降息2-3次），特别是因为中期选举即将到来。 SPY上涨 = 当选几率更大。所以我会保持极度做多直到中期选举后。 话虽如此，这有助于成长、投机性公司等。但我们已经看到这在很大程度上已被定价，如我最喜欢的长线标的之一Rocketlab，季度营收$1.55亿却达到$450亿+市值，所以我开始质疑估值->将许多头寸转向更多价值型（如软件下跌或内存超级周期）。 主题上我极度看多 - AI, 内存, 半导体 - 瓶颈 - 关键材料等。 非常看多 - 美国本土制造供应链 看多 - 国防板块 并会寻找软件到社交媒体公司等的波段交易/复苏/重估机会，鉴于近期的抛售。
英文原文
Jan 25th Ratings. Post EU Tariffs and $INTC ER. Strong Buy: $SNAP $META Samsung Electronics SK Hynix $MU Unimicron $TSM $CRCL $AXTI $LPTH $COPX $LIT $AEHR $FORM $AMKR $AVGO $MRVL Buy: $COIN $SMCI $GOOGL $FIG $AMZN $IBIT $RDDT $TTD $HIMS $HOOD $COHR $AMBA $IREN $POET $AAOI $LASR $VPG $OSS $INTC $UMAC $ONDS $AIRO $DPRO $AVAV $BULL $ETOR VLN NBIS GLXY CIFR HUT WULF Questionable $VELO $SKYT Avoid $UAVS $BKKT WLMT SLNH $PLTR CRWV $ORCL $BMNR $IONQ , RGTI, QBTS _ Strong Buy Snapchat - Bottomed around $7.4, imo very strong at this level. Increased FCF from memory opex reduction and memory monetization into 2027. Just a waiting game for re-rating. Meta - 26% Y/Y revenue growth is extremely strong, produced $10B+ FCF last quarter. Expect it to pick up after next quarter earnings due to optics (700%+ Q/Q EPS optics) that caused selloff last time from BBB. Samsung Electronics - Holy grail for semis, samsung provides exposure to both hbm and foundry. SK Hynix - memory supercycle Micron - memory supercycle, but with US backing. Unimicron - unholy long for hbm, ic substrates, glass core, cowos, and all other bottlenecks. TSM - money printer, literally can't go wrong with this. Circle - 2-3x projected rate cuts would likely hurt circle net income a lot, hence why it's being priced in. But amazing long at $16B as they print money and should start seeing expansion of USDC. AXTI - LPTH: Bottlenecks for InP / Germanium, etc. Will be a huge theme going into 2026. It's just a waiting game for both supply chain disruption (in AXT) or made in America w/ black diamond in Lightpath. Low downside risk imo due to capacity ramp -> revenue increase, but moonshot HBM type price increases might be questionable. COPX - LI: Rare Earths/Materials like Copper, Lithium are great longs for 2026. Similar with bottlenecks above, supply chain disruptions from China will cause money to flow into securing supply + buildout out new supply chains. AEHR - Honestly, they sit in two different hot verticals in AI and Robotics. $5.5m Sonoma order might be linked with Micron and SiC Testing. Seems like an extremely good moonshot sub $1B MC. FORM - Likely to be important in US supply chains since they do DRAM/HBM, and Foundry/Logic. & Yield is especailyl important w/ hbm4. AMKR - extreme beneficiary of made in america us supply chains and tsm -> US AVGO - Large correction recently post earnings. Strong buy IMO at these levels given hyperscaler ASICs will continue to ramp (even though there's been some delays). MRVL - Same story with Broadcom, marvell selloff after rumors of Microsoft maia delays. It's just a waiting game for ~2x revenue in 2027 and when markets start pricing that in, and after celestial acqusition, they're doing great stuff in other segments like interconnects. Buy Coinbase - Recent correction to Crypto makes Coinbase value decent again at $57B. Was never a fan of their exchange portion, but providing infra for Blackrock IBIT etfs + USDC revenue sharing with Circle, gives Coinbase pretty good long term value. SMCI - Extreme selloff from the $60's+ back to $30's presents attractive opportunity here. Markets are extremely concerned about gross margins -> SMCI expanding overseas, especially with soverign AI + buying lower end nvda gpus. and SMCI's margins should increase over there. Also likely due to deals to become sticky w/ customers. It's not like they're dying revenue growth to $36B+. GOOGL - Gemini at this point would likely take over chatgpt, so i'd remain long google. Figma - Software selloff provides good opportunity into a lot of the hammered names like Figma which extremely high gross margins + sturdy growth Amazon - Basically same price as last year, they've been growing, AWS is doing fine, they're in robotics + space LEOs, and just seems like a great long going forward Bitcoin - Always an attractive Long Reddit - High valuations, but extremely high gross margins and not going anywhere since everyone uses reddit. TTD - Selloff from 2025 presents attractive valuations again HIMS - Honestly extremely attractive for me at $29, might be put into strong buy again, but of course revenue deceleration is very worrysome. Main alpha is that markets arent pricing in Zava acqusition and just from sheer customer base, they can derive a lot of revenue from new customers. Robinhood - Selloff from $140 back to $100 presents a good opportunity for Robinhood again. They're not going anywere, plus new product revenue expansion from banking + others, should present positive tailwinds. Coherent - Long US supply chains, esp. for photonics, inp, etc. AMBA - Moonshot long for edge AI inference for robotic ramps + edge compute. POET - Basically 1/2 cash now, backdoor into marvell + hyperscalers through celestial. Attractive upside at $6.8 given underwriters bought at $7.25 AAOI - long play tethered to msft maia and aws trainium. both of them haven't really taken off yet so it's just a waiting agme LASR - energy directed weapons are super cool. i dont quite like the fundamentals like low 20% revenue growth, but the technology is just way too cool. VPG - Long play tethered to optimus ramp. we should see industrial use cases EOY 2026 and consumer EOY 2027, so maybe optimus productions starts hitting balance sheet now or q2. OSS - Long play on defense sector and edge AI + $200m contract. INTC - long on us policy, earnings didn't really change any perspective, just short term price. UMAC - Great long play at these levels on drone manufacturing in US. ONDS, Airo, DPRO - Same with AIRO, DPRO, bullish on drone sector. There's not much of a massive tailwind compared to a few weeks ago when US was invading venezuela and threatening greenland, but thematically bullish. AVAV - selloff from misinformation about converting r&D type contracts -> long term contract presents considerable upside BULL - I do like brokerages like robinhood, webull, etc. that have a ton of retail users since there's endless ways to monetize once you own the customer base. selloff back to $8 presents attractive upsdie ETOR - selloff way overblown, high net income y/y, basically 50% cash, low downside risk. just waiting for re-rating per earnings. they're doing well too, 70%+ Y/Y AUM, so not sure why they're being priced in like this. VLN - not quite the same anymore as close to 1:1 assets/nav, at one point they had $11m+ inv (off 63%) gross margins, $93M cash, so would have been closer to 110-120m : $140m MC, which made no sense. That being said still $80m fwd revenue off 63% -> 69% gross margins, seems like considerable opportunity for re-rating. Markets just don't seem to like companies eg. Etoro related to a certain country, I guess Nebius - $15B clickhouse valuation just goes to show Sum of Parts, where I wouldn't be surpirsed if their subsidaries like Avride ended up overtaking the main business. That being said, near term selling pressure due to $2B+ ATM being sold on open market. Should ramp up extremely fast as they meet their $7B ARR target EOY 2026. GLXY, CIFR, HUT, IREN, WULF - Remain long on the colo, and other neocloud sector plays. That being said most are up 30-40%+ since 2025, so they're not exactly a strong buy anymore as they've been priced in. But lot of upside remains. Questionable VELO - Lot of people asked my opinion on this since FinX loves this stock. They have really cool customers like SpaceX, but fundamentals look terrible. ~$11.8M cash + $17.5M offering vs. ~$23M. debt. They barely have any runway left and people buying now are likely to be diluted. Velo is the perfect example of amazing customer base like IQE (EU for inP supply chain), but terrible fundamentals. SKYT - It's a great made in america supply chain company for a lot of cool stuff like quantum components or edge. Benefits from CHIP act, but very slow revenue growth. It's a lot better speculative long than Velo since it has better fundamenatls. Lower gross margins like 24%, very low operating margins, is obviously priced into MC but U.S. pure-play foundry should be a good story for premium. Bottom line are not really growing too fast though. Avoid UAVS - Endless dilution machine with over 100%+ of marketcap given over to arbitrage investors that can convert 100%+ of the shares under 25% market value to sell on retail BKKT - $300m ATM dilution right now while MC is $550m. Endless dilution machine Walmart - 43 p/e, there's no way. SLNH - Lot of dilution ahead. Palantir - Concern over valuation P/E Coreweave - Concerns over large debt, $1B+ in debt interest hurts FCF a ton. Then there's allocation/buildout for OpenAI, which has extreme, extreme concerns if they can fulfill contract obligations, especially since gemini is taking over market share of openai. Oracle - There might be technical rebound, but seriously, they've spent so much capex just for openai (eg. stargate), and like coreweave, OpenAI, which has extreme concerns over if they can fufill contracts obligations BMNR - endless dilution machine to fund silly projects like $200m into mr. beast's company. Expect long eth staking etfs, short bmnr plays, and premium to go under as $200m cash into mr. beast's company for example is not very liquid. IONQ, RGTI, QBTS - Quantum valuations are very stretched. _ Overall Thoughts: I'm personally staying extremely long, this is just personal thoughts NFI. A lot of small caps and speculative companies have already been re-rated since Jan 1st and I don't expect many of the 50-100% moves to continue (we've seen a lot of profit taking Friday on some of these names). That being said, Trump is trying to cut rates even more (another 2-3x projected), esp. since Midterms is coming up. SPY Up = better chance of getting elected. So I'm staying very long until after Midterms. That being said a lot of this helps growth, speculative companies etc. But we're already seeing this largely priced in like Rocketlab, one of my favorite longs, reaching $45B+ MC off $155m quarterly revenue, so I'm questioning valuations a bit -> pivoting a lot of positions into more value (eg. software drop or memory supercycle). Thematically I'm extremely bullish on - AI, Memory, Semis - Bottlenecks - Critical Materials, etc. Very bullish on - Made in America supply chains Bullish on - Defense Sector And would look for swing trades/recovery/re-rating for stuff like software to social media companies around now given the recent selloff.
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马斯克起诉OpenAI或引发AI产业链连锁反应，市场已部分定价该风险。
突发：埃隆·马斯克起诉 OpenAI，索赔 1340 亿美元。 预测市场今日给出的马斯克胜诉概率为 59%。 这可能令人担忧。 如果 OpenAI 败诉： 市场可能会引发与 OpenAI 相关的 AI 生态系统连锁反应（Contagion）。 $AMD 或 $CRWV 以及像 $ORCL（Stargate 项目）到 $MSFT 这样的公司将是巨大的输家，因为它们严重依赖 OpenAI。 此外，还有涉及 Coreweave 的 $APLD 和 $CORZ 等公司的三阶效应（Third-order effects）。 $AMD 的合作伙伴如 $RIOT 也是如此。 例如： 1. 微软/甲骨文 -> 数十亿美元的投资减值，建设 + GPU 利用率滞后将造成数十亿美元损失 2. CoreWeave -> 积压订单收入面临巨大风险，利用率滞后 + 已因巨额债务利息而处于风险之中 3. APLD / CORZ -> 依赖 Coreweave 的收入，如果租户倒闭，其短期收入也会随之下降。 如果 OpenAI 被迫支付巨额赔偿金，回归严格的非营利地位，或因流动性危机破产（无法履行合同义务）： 这可能会触发许多与 OpenAI 相关的 AI 板块股票的连锁反应事件。 当然，这是最坏的情况。 我的预期是中间地带： -> 马斯克赢得审判（或在判决前迫使达成和解）。 -> OpenAI 被迫支付巨额罚款（例如 100 亿 -200 亿美元）并可能开源其旧模型 -> $MSFT 可能会介入支付罚款或重组债务，因为利害关系太大。 或者在马斯克 41% 的败诉概率下：无事发生，与 OpenAI 相关的公司将安然无恙。 然而，市场似乎已经通过甲骨文（$330 -> $195）和 Coreweave（$150 -> $101）的价格大幅调整，定价了 OpenAI 连锁反应风险带来的大量不确定性。 这起诉讼绝对是市场关注的最大事件之一。
英文原文
Breaking: Elon Musk has sued OpenAI for $134 Billion. Prediction markets have priced the odds of Elon winning at 59% as of today. This may be alarming. If OpenAI loses this: Markets may trigger a contagion across the AI ecosystem tied to OpenAI. $AMD or $CRWV and companies like $ORCL (Stargate) to $MSFT are massive losers as they're heavily levered to OpenAI. Then there's third order effects on companies as $APLD and $CORZ involved to Coreweave. Same goes with $AMD partners, such as $RIOT. For example: 1. Microsoft / Oracle -> Write down billions in investment, buildout + GPU utilization lag would cost billions 2. CoreWeave -> Massive risk to backlog revenue, utilization lag + already at risk due to massive debt interest 3. APLD / CORZ -> Depend on Coreweave for revenue, if the tenant goes down, so does their near term revenue. If OpenAI are forced to pay massive damages, return to a strict non-profit status, or declare bankruptcy due to liquidity crises (and cannot fulfill its contractual obligations): This might trigger a contagion event across many AI sector names tied to OpenAI. Of course this is the worst case scenario. My expectation is middle ground: -> Musk wins the trial (or forces a settlement just before the verdict). -> OpenAI is forced to pay a massive fine (e.g., $10B–$20B) and possibly open-source its older models -> $MSFT likely steps in to pay the fine or restructure the debt since there's too much at stake. Or in the 41% chance Musk loses: nothing happens, and companies tied to OpenAI will be fine. However it looks markets already priced in a lot of that uncertainty with OpenAI contagion risk with Oracle ($330 -> $195) and Coreweave ($150 -> $101). This lawsuit is definitely one of the biggest events markets are watching.
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2026年1月1日美股评级：推荐SMCI、INTC等复苏及AI基建标的，回避高估量子及零售股。
欢迎来到2026年。1月1日评级： 强烈买入： $TTD $SMCI $AIRO $INTC $HIMS $AXTI $TSM $NBIS $CIFR 三星电子 (KRX: 005930) $HUT $IREN $WULF $GLXY $TSSI $META $ETOR $CRCL 买入： $KRKNF $ONDS $GEMI $NVDA $MU $AMKR SK海力士 $SNAP $RDDT $AAOI $COHR $FISV $FLY $DJT $LITE $AMZN $MRVL $AVGO $OSS $BULL $ORCL $CRDO $ALAB 回避： $RGTI $QBTS $RGTI $BMNR $ETH $PLTR $WMT _ 简而言之的想法： TTD - 估值完全重置，年初至今下跌67%，叠加年底税务抛售。进入2026年是极佳的复苏标的。 SMCI - 仅因推迟一个季度以符合新Blackwell规格而交易得像一家困境公司。前瞻收入同比增长50%，市销率(P/S)接近0.5。税务收割后的极佳复苏标的。 AIRO - 资产负债表约1/6为现金。随着政府加速投资，无人机领域备受追捧。另一只被抛售的IPO新股。进入2026年，尤其在热门细分领域，是极佳的复苏标的。市销率约3.8倍，相比ONDS的25-30倍市销率，当然其教育等业务对利润率计算有很大干扰。 INTC - 它实际上已成为美国政府的半导体臂膀。超大规模云厂商很可能被激励（强烈施压）在有机会时优先使用Intel而非TSM、三星等。我不会赌美国政府会输。 HIMS - 进入2026年前大幅抛售。从70多美元下跌。销售/流量下降，但Zava收购/增长应在2026年带来巨大顺风。尤其是有数亿美元回购，前两个月是强劲的复苏标的。 AXTI - 之前发过相关论点。CEO称“40%的磷化铟(InP)供应链”，InP将是2026-2027年超大规模AI建设中的巨大瓶颈，直到2028年有足够时间通过工程手段绕过它。 TSM - 我引用过很多次。利润率提升。需求最大化。未来几年极好的复利增长者。 三星电子 - 受益于代工/存储。在所有顺风助力业务方面简直是金蛋。 NBIS - 极强买入，$7-90亿年度经常性收入(ARR)，它实际上是5家不同公司，每年三位数增长。管理层引用20-30%息税前利润(EBIT)率，这只是等待游戏。 CIFR, HUT, IREN, WULF, GLXY - 整个数据中心板块在Oracle/OpenAI担忧后极度超卖。OpenAI最近融资$400亿，$AMZN再投$100亿等。因此关于资本支出(Capex)的担忧已大幅降低风险。这也是多方面的，例如比特币下跌影响$CIFR资产负债表，$GLXY在加密领域。但总体而言，新云(neoclouds)板块有巨大的复苏/扩张潜力。 TSSI - 类似SMCI。递延收入=核弹级利空。税务收割后应恢复，且大量收入将被确认。 META - 财报后因一次性税务问题遭遇巨大算法抛售。他们还削减了现实实验室等部门的资本支出/运营支出，这应为2026年的每股收益(EPS)带来巨大顺风。 ETOR - 市值$28亿，坐拥$12亿现金，仍保持双位数同比增长。$1.5亿回购应是不错的顺风，且年初至今表现带来的税务收割效应应会消退。 CRCL - 稳定币论点在2026年应非常稳固。 买入 KRKNF - Anduril合作伙伴+规模。2026年可能转板，国防支出带来大量顺风。 ONDS - 收入增长极具爆炸性，到处都有新的$1000万合同。大量现金余额资助研发。市销率很高，但该领域的投机性领导者如RKLB有估值溢价。 GEMI - 通常我不喜欢交易所，但Gemini从$30+ IPO跌至$10以下。极佳的复苏标的。 NVDA - 巨大的积压订单。大家都知道Nvidia的牛市逻辑。 MU - 存储火热。 SK海力士 - 存储火热。 AMKR - 受益于“美国制造”芯片生产扩张。 SNAP - 存储运营支出削减，存储货币化增加收入，Perplexity贡献$4亿。季度收入$15亿。如果他们将所有这些转化为$10亿+自由现金流(FCF)/年，即使收入完全停止增长，也会完全重估Snap。 RDDT - 说实话，未来10+年不会消失。它是社交媒体界的Robinhood，通过新的收入货币化方式极速增长，且极其盈利。 AAOI - Amazon, MSFT ASIC规模化的互连标的。 COHR - 受益于下一代ASIC的光子学部署。 FISV - 财报后抛售过多，税务收割后是强劲的复苏标的。 FLY - SpaceX IPO带动太空领域火热。税务收割结束后应表现良好，且即将有Northrop的中期催化剂。 DJT - 我从没想过会把它放在这里，但这只是因为他们的TAE合并。 LITE - Google TPU部署带来巨大的物料清单(BOM)，估值有吸引力。Google TPU修正预估后轻微抛售，但它基本存在于每个超大规模ASIC部署中。 AMZN - 七大科技巨头中估值不过高的一个。 MRVL - 分析师误导导致抛售，进入2026年强烈买入。尤其是MSFT Maia收入翻倍时，Marvell当前收入也将随之增长。 AVGO - 像NVDA一样，随着AI基础设施部署加速，强劲的长期持有标的。 OSS - 我曾发帖推测他们是Anduril的供应商之一。但无论如何，边缘计算在2026年将很火热，其1.8亿市值呈现有吸引力的上行空间。 BULL - 类似Robinhood，拥有巨大用户群，但他们只需找出货币化方法。 Oracle - 我认为抛售过多。几个月前我将其列入回避，但从$330跌至$190后，尤其在OpenAI再融资$400亿后，再次具有吸引力。 CRDO - 极高利润率，数据中心部署所需的必要连接。 ALAB - 极高利润率，数据中心部署所需的必要连接。 回避： 有很多在“高估名单”上的东西，比如$RKLB，我喜欢但除了这些之外我不会说回避它们。 RGTI, QBTS, RGTI - 量子名称仍然高估，且可能在未来几年无法交付自由现金流。 BMNR, ETH - 如果你看过我的ETH帖子，我不太看多，因为每天ETH燃烧量只是个位数到低双位数，这简直是笑话。 PLTR - 最被高估的AI名称之一。 WMT - 这怎么是40倍市盈率？这是沃尔玛？ __ （这些基于今日价格） 简而言之： Circle, Etoro, AIRO, Klarna, Figma等IPO名称在下跌+税务收割后进入2026年呈现有吸引力的上行空间。 大量如SMCI, HIMS等过去3个月下跌约40%的名称，在税务收割+一月效应后是极好的波段/复苏交易标的。 许多如FiserV或The Trade Desk等暴跌的名称在税务收割后也是良好的复苏交易标的。 许多数据中心股票如nebius, iren, cifr, wulf, galaxy也是极好的复苏交易标的。 许多其他领域如存储、瓶颈、光子学等在2026年只是极好的长期持有标的，尽管各自都触及历史新高。 仍有相当多高估的名称，从量子到某些太空股票（如planet或rocketlab），特定AI名称如Palantir到零售股票如沃尔玛，我可能会暂时回避，直到有轻微回调。 这只是一个简而言之，如果我仅做短期交易（非长期），但欢迎提问。
英文原文
Welcome to 2026. Jan 1st ratings: Strong Buy: $TTD $SMCI $AIRO $INTC $HIMS $AXTI $TSM $NBIS $CIFR Samsung Electronics (KRX: 005930) $HUT $IREN $WULF $GLXY $TSSI $META $ETOR $CRCL Buy: $KRKNF $ONDS $GEMI $NVDA $MU $AMKR SK Hynix $SNAP $RDDT $AAOI $COHR $FISV $FLY $DJT $LITE $AMZN $MRVL $AVGO $OSS $BULL $ORCL $CRDO $ALAB Avoid: $RGTI $QBTS $RGTI $BMNR $ETH $PLTR $WMT _ TLDR thoughts: TTD - Complete valuation reset dropping 67% YTD, compounded by EOY tax sell-off. Great recovery play going into 2026. SMCI - Trades like distressed company just because they delayed revenue by 1 quarter for new blackwell specs. Forward revenue is increasing 50% Y/Y, P/S close to .5 now. Great recovery play from tax harvesting. AIRO - Roughly ~1/6th balance sheet was cash. Everyone seems to be into drones, especially with accelerated gov inevstments. Another IPO name that got sold off. Great recovery play going into 2026 with esp. hot segment. Roughly ~3.8x P/S compared to ONDS trading at 25-30 P/S, but obviously there's quite a lot of other businesses like their education sector which messed up margin calculations quite a bit. INTC - It's literally become the semi arm of the US government. Hyperscalers will likely be incentived (strongly pressured) to use Intel whatever chance it gets over TSM, Samsung, etc. I would not bet against the US government. HIMS - Huge selloff going into 2026. Down from $70's. Sales/Traffic is down, but Zava acquisition/growth should add a huge tailwind going into 2026. Esp. with few hundred mill buybacks, strong recovery play first two monts in. AXTI - Posted thesis on this earlier. CEO - "40% of Inp supply chain", InP will be a huge, huge bottleneck for hyperscaler AI buildout 2026-2027 until there's enough time to engineer around it in 2028. TSM - I've covered this quote a lot. Increasing margins. Maxed out demand. Just extremely good compounder next few years. Samsung Electronics - benefits from foundry/memory. just golden egg regarding all the tailwinds helping the buisness. NBIS - Extremely strong buy, $7-9B ARR, it's literally 5 different companies growing triple digits Y/Y. management quoted 20-30% EBIT margins, it's just a waiting agme. CIFR, HUT, IREN, WULF, GLXY - Whole datacenter space is extremely sold off after Oracle/OpenAI fears. OpenAI recently raised $40B, another $10B from $AMZN, and more. So a lot of fears regarding capex spend has been de-risked. It's multifaceted too, eg. Bitcoin drop, affects $CIFR balance sheet, $GLXY in crypto space. But generally huge recovery play/ramp for neoclouds sector. TSSI - Similar to SMCI. deferred revenue = nuke. Should recover after tax harvesting + lot of revenue gets recognized META - Huge algorithmic selloff post earnings due to one-time tax. They also cut capex/opex spend of their reality labs and other departments and this should be a huge tailwind for EPS going into 2026. ETOR - Literally sitting on $1.2B with a $2.8B marketcap and growing double digits Y/Y still. $150M buyback should be a nice tailwind, and tax harvesting from YTD performance should subside. CRCL - Same as stablecoin thesis should be really solid going into 2026 Buy KRKNF - Anduril partner+ scale. Probable uplisting in 2026, lot of tailwinds from defense spending. ONDS -pretty explosive revenue growth, new $10m contracts left and right. large cash balance to fund r&d. Pretty high p/s but there's valuation premiums for speculative leaders in the space like rklb. GEMI - So i typically dont like exchanges, but gemini got nuked from $30+ IPO sub $10. pretty solid recovery play. NVDA - Huge backlog lol. Everyone knows bull case for nvidia MU - Memory is hot SK Hynix - Memory is hot AMKR - benefits from "made in america" chip expansion in prod. SNAP - Opex Cut from memory, increase revenue from memory monetization, $400m from perplixity. $1.5B revenue/quarter. They could literally stop growing revenue complelty if they convert all of that to $1B+ FCF/year, it would re-rate snap completly. RDDT - This is not going anywhere for the next 10+ years tbh, it's like robinhood of social media, growing extremely fast from new ways to monetize revenue, and just extrmeely profitable. AAOI - interconnect play for amzn, msft asic scale up. COHR - benefits from photonics rollout for next gen asics. FISV - Nuked a bit too much post ER, strong recovery play esp. post tax-harves.t FLY - Space is hot from SpaceX IPO. Should do well given tax harvesting is over, and they have medium lift coming up with northrop. DJT - I never thought i'd put this here lol, but this is just because of their TAE merger. LITE - Large BOM from Google TPU rollout, attractive valuation. Slight selloff after Google TPU revised est. but it's basically in every single hyperscaler asic deployment. AMZN - one of the mag7 that's not overvalued MRVL - Selloff from analyst misinformation, strong buy going into 2026. Especially with msft maia revenue doubling Marvell's current revenue when it ramps up AVGO - Like NVDA just strong long, as AI infrastructure deployment ramps up OSS - I made a post speculating that they're one of andruils' suppliers. but regardless, edge computing will be hot 2026 and its 180m mc presents attracctive upside. BULL - similar to robinhood where they have a huge userbase, but they just need to figure out monetization Oracle - Sold off a bit too much imo. I put this on avoid months ago but after the from from $330 to $190, it's more attractive again esp. after openai raised another $40B CRDO -extremely high margin, necessary connectivity for dc rollout ALAB - extremely high margin, necessary connectivity for dc rollout Avoid: There's a lot of stuff on the "overvalued list" like $RKLB that i like but I wouldn't quite say avoid it either aside from these. RGTI , QBTS, RGTI - Quantum names are still overvalued and likely won't deliver fcf in the next few ytears. BMNR, ETH - if you saw my eth post, not exactly bullish since the amount of ETH burn is just single-low double digits every day, which is a joke. PLTR - one of the most overvalued ai names WMT - How is this 40 p/e? This is Walmart? __ (these are based on today's prices) TLDR: IPO names like Circle, Etoro, AIRO, Klarna, Figma, present attractive upsides post drop + tax harvesting going into 2026. Tons of names like SMCI, HIMS that dropped 40% or so past 3 months, are amazing swing/recovery trades post-tax harvest + Jan effect. Lot of the names that doom dropped like FiserV or The Trade Desk present good recovery trades too post-tax harvest. Many datacenter stocks like nebius, iren, cifr, wulf, galaxy, are amazing recovery trades too. Lot of other segments like memory, bottlenecks, photonics, and others are just great longs in 2026, despite each hitting ATHs. There's still quite a lot of overvalued names from Quantum, to certain Space stocks (eg. planet or rocketlab), specific AI names like Palantir to retail stocks like Walmart that I would probably avoid for the time being until there's a slight correction. This was a TLDR just if I'm short term trading-only (not long term) but feel free to ask questions.
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OpenAI 高估值融资改善 AI 数据中心与供应链风险偏好
最新消息：OpenAI 在完成 5000 亿美元估值、100 亿美元以上的 Amazon 轮融资后，正在以 7500 亿美元估值继续融资。 $CRWV：+15.85% $NBIS：+10.28% 有了这笔交易，像 CoreWeave 和 Oracle 这样的公司，在为 OpenAI 的资本开支需求建设容量时，对手方风险在结构上降低了，因为 OpenAI 的资产负债表更强了。 像 Nebius 这种算法上和行业龙头绑定的公司，也因此上涨。 从 Rocket Lab 到 Bitcoin，高 beta 资产普遍上涨。 最近因为日元套息交易解除，加上今天大量未平仓合约到期，市场出现了极端波动。 不过，AI 交易的基本面（尤其是 Micron 神级财报显示了极强内存需求）以及 Neocloud 的基本面，仍然比以往更好。
英文原文
Latest news: OpenAI is raising funds at a $750B valuation after their $10B+ Amazon round at $500B. $CRWV: +15.85% $NBIS: +10.28% With this deal, companies like Coreweave and Oracle structurally have less counterparty risk with OpenAI's stronger balance sheet to fund capex requirements. Companies like Nebius that are algorithmically tied to the sector leaders are up as a result. High-Beta Assets from Rocketlab to Bitcoin are up across the board. There was extreme volatility recently with the Yen carry trade unwinding + large open interest expiring today. However, the fundamentals of the AI trade (especially with Micron's godlike ER showing extreme memory demand), and Neoclouds remain better than ever.
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Amazon 投资 OpenAI 对 AI 数据中心和 ASIC 供应链的连锁影响
最新：Amazon 的 100 亿美元 OpenAI 融资，以及 AI 供应链的涟漪效应。 $AMZN 将以 5000 亿美元以上估值向 OpenAI 投资 100 亿美元以上。 为什么这是 AI 股票的重大结构性变化： 1. AI 数据中心交易去风险：（$ORCL、$CRWV、$APLD、$CORZ） 结合前面提到的 SPEED 法案，影响 Neocloud 的主要问题是： 1. 数据中心延迟和递延收入 2. 不可持续的 CapEx -> 没有 FCF 3. OpenAI 传染/积压订单风险 SPEED 法案直接处理了第 1 和第 2 点，但没有处理 OpenAI 相关的第 3 点。 影响 Oracle、CoreWeave 等最大 Neocloud/数据中心提供商的主要担忧，是它们为 OpenAI 这个对手方投入了巨额 capex，而 OpenAI 本身没有足够资金承诺这些资本开支。 但现在，随着 Amazon 新融资，第 3 点开始被解决。 - 新增 100 亿美元资金，加上 Amazon 的资产负债表支持 ChatGPT 的创造者，OpenAI 对 Oracle 和 CoreWeave 的早期承诺开始获得兜底。 - 下游影响：这直接降低了 $CRWV 和 $ORCL 的风险，因为它们在为 OpenAI 建设容量。再往下两层，依赖 CoreWeave 作为租户的 $APLD 或 $CORZ 也会被去风险。 由于 CoreWeave 和 Oracle 被视为“行业龙头”，这会立刻改变整个 Neocloud 板块的情绪，包括 $NBIS、$IREN、$CIFR、$WULF 等。 2. Hyperscaler AI capex 浪潮（$AMZN、$MRVL、Alchip）： 我们之前看到，$AVGO ASIC backlog 之后，市场开始担心 hyperscaler 支出减弱，很多相关玩家因此大跌。 但这笔交易的关键条件之一，是 OpenAI 采用 Amazon 自研 Trainium ASIC。这代表非 Nvidia 集群会激进扩张。 - 设计与 IP：直接利好 Marvell（$MRVL）和 Alchip 等 ASIC 设计伙伴。 - 定制硅集群需要大量光互连和 HBM。这会为光子（$AAOI、$LITE、$COHR）和内存（$MU、SK 海力士）创造新的 capex 超级周期。 - 代工厂，比如 $TSM。 以及更多参与 hyperscaler ASIC 建设的相关公司。 唯一输家？Nvidia（$NVDA）。 Amazon 正在成功用它庞大的资产负债表，迫使领先 LLM 摆脱对 H100/Blackwell 的依赖，同时推动整条 AI 供应链。 核心结论是，AI 交易由世界上最富有的公司资助，比如 $AMZN；OpenAI 也正在证明，它可以通过出让股权来扩大资产负债表，以满足需求。 做多 AI 板块。
英文原文
Just In: Amazon's $10B OpenAI Funding and The AI Supply Chain Ripple Effect. $AMZN is set to invest $10B+ in OpenAI at a $500B+ valuation Why this is a MASSIVE structural shift for AI stocks: 1. De-Risking the AI DC trade: ( $ORCL, $CRWV, $APLD, $CORZ ) With the SPEED Bill mentioned earlier, the main issues affecting Neoclouds were: 1. DC Delays & Deferred Revenue 2. Unsustainable CapEx → No FCF 3. OpenAI Contagion/Backlog. the Speed bill directly addresses #1 and #2. But not #3 with OpenAI. The main fears affecting the biggest Neocloud/Datanceter providers like Oracle, Coreweave was their immense capex spend for a counterparty (OpenAI) that doesn't have the funding to commit to it's capex spend. But now, #3 is starting to be addressed with the new Amazon funding. - With a fresh $10 Billion and Amazon’s balance sheet backing the creator of ChatGPT, OpenAI's early commitments to Oracle and CoreWeave are now starting to be backstopped. - Downstream Impact: This directly derisks companies like $CRWV and $ORCL, who are building capacity for OpenAI. And by two hops, companies like $APLD or $CORZ that rely on Coreweave as a tenant. As Coreweave and Oracle are seen as the "sector leaders" this immediately changes sentiment across the whole Neocloud sector from $NBIS, $IREN, $CIFR, $WULF and others as well. 2. The HyperScaler AI capex wave ( $AMZN, $MRVL, Alchip): We've seen fears after $AVGO ASIC backlog about hyperscaler spending waning. And many related players tanked on the news. However, a key condition of this deal is OpenAI’s adoption of Amazon’s proprietary Trainium ASICs. This signals an aggressive scaling of non-Nvidia clusters. - Design & IP: Direct benefit to ASIC design partners like Marvell ( $MRVL ) and Alchip. - Custom silicon clusters require massive optical interconnects and HBM. This creates a new capex supercycle for photonics ( $AAOI, $LITE, $COHR ) and memory ( $MU, SK Hynix). - Foundries such as $TSM. and many more related companies involved in the buildout of hyperscaler ASICs. The only loser? Nvidia ( $NVDA ). Amazon is successfully using its massive balance sheet to force the leading LLM to diversify away from H100/Blackwell dependence and boosting the whole AI supply chain alongside it. The main takeaway is that the AI trade is funded by the richest companies in the world, such as $AMZN, and OpenAI is showing it can scale up its balance sheet to meet requirements by trading off equity. Go long on the AI sector.
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估算 AI 基建法案通过概率，并更看重行政命令
是的，就像我和 Sydney Sweeney 的机会是 50/50 一样，法案通过、然后 $NBIS、$IREN、$CIFR 起飞的概率也是 50/50。 要么发生，要么不发生。 玩笑归玩笑，我随便猜的话，考虑到 Bernie 等民主党人早期反对，概率大概是 30-35%。 我会更押注可能的行政命令强行推进，因为 $ORCL 创始人和前沿 LLM 公司与本届政府关系很近。 另外，AI 基础设施现在已经是国家安全风险。
英文原文
Yes like how my chances with Sydney Sweeney are 50/50, the chances that the bill passes and $NBIS, $IREN, $CIFR goes to the moon are 50/50 as well. Either it happens or it doesn’t. Jokes aside just a wild guess is 30-35% given early disagreement from Democrats like Bernie. I’d count more on likely executive orders ramming things through given how close the $ORCL founder and frontier LLMs are with the administration. Also given how AI infrastructure is now a national security risk.
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认为 SPEED Act 缩短利用率滞后，比降息更直接改善 FCF
不同意。和 75 个基点降息相比，利用率滞后造成的是利润率破坏。 降息当然是巨大顺风，因为 Neocloud 需要用债务来资助扩张。 但如果美国政府通过 SPEED Act，把 $ORCL 或 $CRWV 的资本开支转化为收入的速度提前几周，甚至提前一个季度，尤其是在资产快速折旧的情况下，这对 FCF 的影响根本不是一个量级。 如果法案通过，这会让资本开支投资 thesis 更加可行。
英文原文
Disagree, utilization lag is margin destruction compared to .75 bps rate cut. Rate cuts are a massive tailwind given how Neoclouds debt to fund expansion. But, when the US gov guarantees faster revenue conversion on $ORCL or $CRWV on capex spend with the Speed act by a few weeks or even a quarter, especially when assets are depreciating rapidly, it’s not even a comparison for the difference in fcf. This made the capex investment thesis even more viable if the bill passes.
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解释 SPEED Act 为什么比三次降息更利好数据中心链条
谢谢！之前也有一些帖子提到 SPEED Act 通过，以及“利好 $NBIS 和 $CIFR”，这很有帮助。 但我只是想拆解“为什么”，因为数据中心板块极其复杂，而且互相连接很深。 SPEED Act 通过比三次降息还好，因为在看利用率拖累、时间敏感的折旧成本，以及利润率如何影响 $ORCL 和 $CRWV 这类公司时，延迟可能是盈利能力面临的最大单一问题之一。 对于 CoreWeave 这样的直接受益者来说，这项法案会降低关于延迟和“不可持续 capex”的空头 thesis 风险。$APLD 和 $CORZ 这类下游公司，也会因为对手方风险降低而改善。
英文原文
Thanks! There were some other posts about the Speed act passing and “bullish for $NBIS and $CIFR”, which is helpful. But I just wanted to break down “why” since the DC sector is EXCEPTIONALLY nuanced and interconnected. Speed act passing is better than 3x rate cut, since delays are probably one of single biggest issue for probability whe we look at utilization drag, time sensitive depreciation costs, and margins affecting companies like $ORCL and $CRWV. Bear case thesis with delays and “unsustainable capex” gets derisked with this act on direct beneficiaries like Coreweave. And companies downstream from $APLD and $CORZ improve as well from lower counterparty risk.
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长文拆解 SPEED Act 对 Neocloud 和 AI 数据中心的去风险作用
刚刚，SPEED Act 在众议院取得进展。 这是今年 Neocloud 板块（$NBIS、$CRWV、$IREN）最大的单一去风险法案/事件。 下面是原因和梳理： 美国政府正准备以美国对中国的国家安全为理由，支持从 Oracle 到 Nebius 的 AI 数据中心建设。 Oracle 和 CoreWeave 最近跌了 40%+（也把 $NBIS 从 140 美元打到 79 美元、$IREN 从 80 美元打到 35 美元、$CIFR 从 24 美元打到 14 美元），核心恐惧有三点： 1. 数据中心延迟和递延收入 2. 不可持续的 CapEx -> 没有 FCF 3. OpenAI 传染/积压订单风险 SPEED Act 和美国政府干预，修复了数据中心建设延迟的空头论点，也解决了利用率滞后带来的盈利问题（利润率）。 #1 数据中心延迟和递延收入 空头 thesis：多年许可延迟（NEPA、输电）把高价值合同变成了递延收入风险。$CRWV 明确把供应商延迟作为下调指引的原因，并在财报后大跌，因为相当一部分收入被推迟到 2026 年 Q1/Q2。 如果 SPEED Act 通过，alpha 在这里： 强制速度和诉讼保护。 - SPEED Act 要求联邦环境和监管审查遵守严格且不可协商的截止日期，通常是 1-2 年。 - 诉讼保护：该法案大幅缩短针对已批准许可提起诉讼的时效，比如缩到 150 天，并指示法院即使许可被临时挑战，也要允许数据中心建设继续推进。 结果：从签约到“GPU 上架 -> 收入流入”的时间线，被压缩了，并由联邦政府在政治上去风险。 递延收入被提前确认，修复了 $CRWV、$APLD 和 Neocloud 板块此前面临的延迟、递延利润/收入问题。 #2 不可持续 CapEx -> 无法从资产变现出 FCF 空头 thesis：公司在 GPU 和建设上花费数十亿美元（$ORCL 的 capex 很巨大），但从购买 GPU 到变现之间的利用率拖累严重影响盈利能力和 FCF。 这也大幅影响 AI Cloud 供应商，因为它们缺乏足够电力来把 GPU/capex 变现。 公司因此面临巨大的减记风险，也就是利用率拖累：GPU 闲置时，折旧和通电成本的时钟仍在跑。 这个拖累对数据中心部门盈利能力影响巨大，The Information 关于 $ORCL AI 利润率极薄的报道也提到过这一点。 SPEED Act 和美国政府干预会直接降低 CapEx 风险，因为速度上的立法要求（修复点 #1）实际上保证电力基础设施会在一个确定且较短的时间线内到位。 这种确定性让 $NBIS、$CRWV 和 $IREN 可以更有信心安排数十亿美元 GPU 的采购和部署，知道资产到货后就能立即开始变现，同时也通过降低利用率拖累来加快 FCF。 这种结构性变化会流向整个行业。它会立即降低主要 AI Cloud 供应商（$AMZN、$MSFT、$ORCL）的风险，因为它们现在能更确定地保证产能；同时也会保证 Colo/Infra/Energy 提供商（$CIFR、$WULF 等）的需求，因为它们的核心业务就是提供电力容量。 关于 capex -> FCF 以及建设延迟时间线的空头论点，现在已经被 SPEED Act 直接处理。 现在美国政府准备加速 $NBIS、$CRWV 和 $IREN 这类公司，因为 AI 数据中心已经被放到美国和中国 AI 国家安全竞争的前线。 它能否在众议院通过，是每个投资者都该关注的事。但如果通过，这会是 Neocloud / AI 数据中心建设里最大的、尚未被充分讨论的顺风之一。
英文原文
Just now, the SPEED Act ADVANCES in the House. This is the single biggest de-risking bill/event for the Neocloud sector ( $NBIS, $CRWV, $IREN) this year. Here's why and a rundown: The U.S. GOVERNMENT is set to support the AI data center buildout from Oracle down to Nebius on national security grounds for US vs China. Oracle and CoreWeave recently dropped 40%+ (tanking $NBIS $140 -> $79, $IREN $80 -> 35, $CIFR, $24 -> $14 as well) on three core fears: 1. DC Delays & Deferred Revenue 2. Unsustainable CapEx → No FCF 3. OpenAI Contagion/Backlog. The Speed Act and US Government intervention fixes bear-case points for data center buildout delays and addresses utilization lag profitability issues (margins). #1 DC Delays & Deferred Revenue Bear Thesis: Multi-year permitting delays (NEPA, transmission) turned high-value contracts into deferred revenue risk. $CRWV explicitly cited vendor delays for lowering guidance and tanked on earnings shifting a large portion of revenue to from Q1 Q2 2026. The alpha if the Speed Act passes: Mandatory Speed and Litigation Shields. - The Speed Act mandates strict, non-negotiable deadlines (often 1-2 years) for federal environmental and regulatory reviews. - The Litigation Shield: The bill drastically shortens the statute of limitations for filing lawsuits against approved permits (e.g., to 150 days) and instructs courts to allow DC buildout to continue even if a permit is temporarily challenged). The Result: The timeline from contract signing to "GPUs on racks -> revenue flowing" is now compressed and politically de-risked by the Federal Government. Deferred revenue is pulled forward and fixes delays and deferred profitability/revenue that plagued $CRWV, $APLD, and the Neocloud sector. #2: Unsustainable CapEx -> No FCF from monetizing the assets Bear Thesis: Companies were spending billions on GPUs and construction ( $ORCL's capex is massive) with utilization drag (from the point of purchasing the GPUs to monetization) largely affecting profitability and FCF. This also largely affects AI Cloud vendors (lacking power to turn monetize the GPUs/capex). Again This forced companies to take a massive write-down risk due to Utilization Drag (the time the GPU sits idle while the clock runs on depreciation/power-up). This drag is HUGE for profitability on DC segments, as cited in The Information reports on $ORCL's razor-thin AI margins. The SPEED Act and the US Government intervention directly de-risks CapEx as the legislative mandate for speed (Fix #1) effectively guarantees that power infrastructure will arrive within a defined, short timeline. This certainty allows $NBIS, $CRWV, and $IREN to time the purchase and deployment of billions in GPUs with high confidence that the assets will begin monetizing immediately upon arrival as well as accelerates FCF from reducing utilization drags. This structural change flows down the entire industry. It instantly de-risks the major AI Cloud vendors ($AMZN, $MSFT, $ORCL) who can now guarantee their capacity, and it guarantees demand for the Colo/Infra/Energy providers ( $CIFR, $WULF, and others) whose core business is supplying that power capacity. The bear case on capex -> FCF + buildout delay timeline has now directly addressed with the Speed ACT. Now the US government is set accelerate companies like $NBIS, $CRWV, and $IREN as AI Datacenters is now placed on the forefront of the AI national security battle between the United States and China. Whether it passes legislation in the House is what every investor should be watching, but if does, this is one of the largest (not-talked about) tailwinds for the Neocloud /AI Decenter buildout.
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认为 Neocloud 板块在长期合同去风险后仍被错杀
同意。 像 $CIFR 这样的公司，现在交易得仿佛 $AMZN、$GOOGL 的合同从未发生过。 在整个 Neocloud 板块里，我们看到的是一场崩盘，尽管 Mag7 合同已经让全板块去风险，并提供了长期收入可见性。 $ORCL、$CRWV 以及一些个股因为 OpenAI 敞口而下跌是有道理的，但它把板块其他公司也一起拖下去了。
英文原文
Agreed. Companies like $CIFR are trading like the $AMZN, $GOOGL deals never happened. In the whole Neocloud sector, we’re seeing a crash despite de-risking and long term revenue visibility across the board with Mag7 contracts. $ORCL, $CRWV, and some individual names made sense given OpenAI exposure but it just dragged the rest of the sector alongside it.
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解释 NBIS/IREN 下跌来自稀释、做空、板块恐慌和散户投降
主要因素是 $NBIS 和 $IREN 的稀释。除此之外，很大程度上是情绪和价格。 不幸的是，$NBIS 有一个 20 亿美元以上的 ATM 正在运行，他们一直在公开市场出售。 再叠加机构空头头寸，再叠加行业龙头 $ORCL 的恐惧，最后是散户在底部投降。 于是你就得到现在的股价，尽管业务基本面还在改善。
英文原文
Well, the main factor is dilution for $NBIS and $IREN. But otherwise it’s largely sentiment and price. Unfortunately $NBIS has a $2B+ ATM running that they’ve been selling on the open market. Then combine that with institutional short positions. And then sector leader $ORCL fears. Then retail capitulation at the bottom. And you get get current stock price. Despite business fundamentals improving.
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博通财报后AI板块抛售是误解造成的买入机会，新云板块中OpenAI依赖股除外
博通[$AVGO]业绩及其对AI板块的影响，如$LIITE和$NBIS： 博通的业绩"双重超预期"，营收$180.2亿(+28% Y/Y)，EPS $1.95，超出共识预期。 但AVGO下跌-11.64%，并拖累了整个AI板块。 这是买入机会吗？ 是的。 博通被视为超大规模云厂商ASIC代理增长的代表，因为亚马逊$AMZN Trainium、微软$MSFT Maia、尤其是谷歌$GOOGL TPU V7 Ironwood都通过它进行规模化部署。 而像$ALAB(-13.2%)、$CRDO(-5.11%)、$LITE(-12.23%)、$TSM(-3.71%)、$COHR(-9.25%)等公司都是TPU/ASIC建设以及博通作为公司的直接受益者。 博通下跌有三个原因，市场下跌有一个原因： 就博通而言，有一些小问题，如税率变化影响EPS模型，或因更多定制AI芯片而非更高利润率软件导致的"利润率压缩"，但这只是会计处理框架问题。（类似于$META在一次性税收后最初的下跌） 对博通和整体市场而言，是积压订单预期问题。以上所有引用的内容与ASIC市场预期增长相比都是小问题。 博通披露未来18个月$730亿的AI积压订单。而有关Anthropic和META购买价值数十亿$GOOGL TPU的传言，人们隐含预期是$800亿+。 然而，这次抛售是由算法和短期AI泡沫情绪驱动的价格错位，而非基本面破裂。 这条积压订单引用是确认订单的最低合同底线。谷歌$GOOGL、亚马逊$AMZN等公司可能会继续增加ASIC订单，而市场未能辨别这一细微差别。 分析师预期营收转化会更加前置，Q4之后积压订单应该会减少，这给出了2026年更高的可能范围$550-600亿+，而非$730亿预期中的$500亿。 TLDR：关于超大规模云厂商ASIC加速以与$NVDA依赖竞争这一论点没有改变。$AVGO和其他如$COHR、Sk Hynix、$MU、$VRT和$LITE都将受益。 这不是关于营收积压订单的最佳消息，但由于交付周期/订单周期和最低底线而被误解。 如果非要说什么，较低的超级云厂商ASIC需求对$NVDA及其生态系统是有益的，但我们也看到$CRWV、$SMCI、$NBIS和$NVDA GPU/DC计算生态系统今天都从盲目抛售中下跌超过5%，尽管存在负相关性。 这又是典型的"AI泡沫"周期因误解而再次来袭。AI股票普遍下跌10-12%的恐慌是一个绝佳的买入机会。 （该推文引用了@aleabitoreddit的推文，引用内容仅供理解语境）: 甲骨文[$ORCL]业绩及其对新云板块如$NBIS和$IREN的影响： 甲骨文报告EPS超预期且积压订单创纪录，但盘后下跌12%。 甲骨文较9月11日高点下跌39.8%，并拖累整个板块。 原因如下： 这次抛售不仅仅是对边际营收miss的反应，而是算法做空和投资者对AI资本支出周期可持续性以及该板块主要租户信用资质的不看好： OpenAI。 甲骨文宣布2026年资本支出增加$150亿至近$500亿，这与报道的与OpenAI $3000亿合作伙伴关系密不可分。 最初，OpenAI是前沿LLM，对甲骨文、Coreweave等公司有前景良好的资本支出承诺，促成了该板块的初始重新定价。 然而，随着超过$1万亿的义务以及Anthropic、Gemini、XAI等竞争对手的增加，市场严重质疑甲骨文、Coreweave等公司是否为无法从运营现金流履行其义务的租户在建设。 我们看到市场有效地发出信号：甲骨文正在为OpenAI创造一种不可持续的债务驱动型"供应商融资"，而OpenAI无法履行其承诺。 因此下跌是理性的：这次抛售是由信用风险和资本密集度的理性重新定价所驱动。 OpenAI融资担忧是合理的：OpenAI缺乏资金履行合同的假设得到其营收($130亿)与义务($600亿/年)之间明显不匹配的支撑。 信用担忧是真实的：甲骨文CDS利差扩大显示"信用事件"降级或违约的概率上升。 此外，我们看到这在新云板块引发传染效应，$NBIS从$140跌至$90s，$IREN从$80跌至$40s，$CIFR从$24s跌至$17s。 但这对$WULF、$NBIS、$IREN等新云公司来说是买入机会吗？ 是的。 这对$ORCL来说是好的买入机会吗？ 不是。 前瞻展望： $ORCL（很大一部分）、$CRWV（25%积压订单）是两个主要依赖OpenAI的公司，这一叙事可能因OpenAI的融资活动而瞬间翻转（+30%+变化）。 如果OpenAI在2026年以高估值超额认购IPO，且其新GPT模型击败Gemini/Claude，我们可以看到这种改变。 然而，许多其他公司与OpenAI无关。新云板块的原始论点是Mag7资本支出从其现金牛业务（Azure、AWS、GCP）向下流向：$NBIS、$IREN、$CIFR、$WULF等。 但随着最大玩家($ORCL、$CRWV)下跌，这些公司算法性地拖累了整个板块。 如果你看各家公司，$CIFR和$WULF由$GOOGL兜底，$IREN/$NBIS由$MSFT资助。 这些是与超大规模云厂商/Mag7的锁定合同积压订单，而非OpenAI。 这种因误解风险而导致的不理性抛售为新云板块提供了绝佳的买入机会，但不是与OpenAI相关的公司如$ORCL和$CRWV。
英文原文
Broadcom [ $AVGO ] earnings results and its effect on the AI sector like $LITE and $NBIS: Broadcom's ER was "double beat" with $18.02B revenue (+28% Y/Y) and $1.95 EPS, beating consensus. But AVGO dropped -11.64% and brought down the AI sector. Is this a buying opportunity? Yes. Broadcom is seen as a hyperscaler ASIC proxy growth as companies like $AMZN Trainium, $MSFT Maia, and most importantly $GOOGL TPU V7 Ironwood are scaled through it. And by proxy companies like $ALAB (-13.2%), $CRDO (-5.11%), $LITE (-12.23%), $TSM (-3.71%), $COHR (-9.25%), and are direct beneficiaries of the TPU/Asic buildout and Broadcom as a company. There's three reasons why Broadcom fell and one why the market fell: For Broadcom, there's minor things such as tax rate changing EPS models or "margin compression" from accounting from just more custom AI chips than higher-margin software, but this is just accounting framing. (Similar to how $META dropped initially on one-time tax post-ER) For both Broadcom general market, it was backlog expectations. Everything cited above is all minor compared to expected growth of ASIC markets. Broadcom cited $73B in AI backlog for the next 18 months. And rumors of Antrophic and META buying billions of $GOOGL TPUs, people were implicitly expecting $80B+. However, the selloff represents a dislocation in price driven by algorithms and short-term AI Bubble sentiment rather than a fundamental breakage. This backlog quote was the MINIMUM CONTRACTUAL FLOOR of confirmed orders. Companies like $GOOGL, $AMZN, will likely continue ramping up ASIC orders and the market failed to discern this nuance. Analysts are expecting revenue conversion to be more front loaded, and that there should be less backlog beyond Q4 given the cycles, which gives a higher likely range of $55-60B+ for 2026 rather than $50B expected of the $73B. TLDR: The thesis regarding hyperscaler ASIC ramp to compete vs $NVDA dependency has not changed. $AVGO and other players like $COHR, Sk Hynix, $MU, $VRT, and $LITE all stand to benefit. It's not the best news regarding the revenue backlog, but it's misunderstood due to lead-time/order cycles and minimum floors. If anything, lower hyperscaler ASIC demand is beneficial to $NVDA and their ecosystem, but we've also seen $CRWV, $SMCI, $NBIS and $NVDA GPU/DC compute ecosystem drop over 5%+ today from an indiscriminate sell-off despite inverse correlation. This is just the typical "AI Bubble" cycle hitting again from misunderstanding. The widespread panic of AI stocks dropping 10-12% is a great buying opportunity.
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看好$AAOI，因其在AI光互联中的核心地位及美国本土制造优势，认为其被严重低估。
我买入 $ALAB、$NBIS、$TSM 和 $LITE，是因为“七巨头”(Mag7) 的收入正流向这些公司。 $LITE 的独特之处在于其在 GOOGL TPU v7、AMZN Trainium v3/4 和 NVDA Blackwell 中的角色。 但我发现了一个新标的。 一家市值低于 30 亿美元的小盘股，符合我的投资逻辑： 名称 - $AAOI 一家小型光子学玩家，也是我持仓的两家光子学公司之一： 1. Lumentum ($LITE) 在每一款芯片的部署/爬坡中都占据独特地位，因为其光电路交换(Optical Circuit Switching) 技术被用于 Blackwell、Trainium 和 Ironwood，作为一种“横向扩展”(scale-across) 型技术。 无论超大规模云厂商选择 ASIC 还是 GPU，$LITE 都能胜出，因为它处于核心位置。 2. Applied Optoelectronics ($AAOI) 更多涉及“纵向扩展”(scale-out) 连接，针对 Trainium、Maia 等定制 ASIC 集群，通过 400G 和 800G 光缆及光收发器实现。 鉴于 $AAOI 在 AWS（Trainium 的大客户）和 MSFT Maia ASIC 中的角色，它也能无论何种情况都胜出。 行业正经历由向 800G 速度迁移驱动的“超级周期”，而 AAOI 正处于中心位置。 此外，AAOI 具有独特的地缘政治角度： 美国优先。 与许多无晶圆厂(fabless)并将生产外包到台湾的公司不同，Applied Optoelectronics 在德克萨斯州自行制造激光器。 美国超大规模云厂商（特别是 Amazon 和 Microsoft）正在积极减少对关键基础设施中国供应链的依赖，这有助于 AAOI 实现本土激光器制造。 我们还看到一家“主要超大规模云厂商”对其 800G 数据中心光收发器下达了另一笔巨额订单。 但 AAOI 的交易表现像一家困境公司；然而，其亚马逊权证协议隐含的收入为 2025 年 Q4 和 2026 财年的 800G 爬坡创造了非对称的风险/回报特征。鉴于其在 AI 建设中的角色及现有的超大规模云厂商合同，AAOI 似乎结构性被低估。 市场终于开始重估 $LITE，但感觉 $AAOI 才刚刚开始，鉴于其小市值以及作为超大规模云厂商 ASIC 集群关键玩家和“美国制造”的独特角度。 市场目前正在对光子学玩家进行大幅重估并赋予高溢价，但 AAOI 今年仅上涨 2.20%，似乎蓄势待发。
英文原文
I entered $ALAB, $NBIS, $TSM, and $LITE because of Mag7 funneling revenue numbers into them. Lite uniquely because of its role in GOOGL TPU v7, AMZN Trainium v3/4, and NVDA Blackwell. But there's a new one I found out about. A small cap <$3B player that fits the thesis: Name - $AAOI A small cap photonics player, and one of the two photonics players I'm invested in: 1. Lumentum is uniquely positioned in every single supply chip deployment/ramp, as the Optical Circuit Switching technology is used in Blackwell, Trainium, and Ironwood as a "scale-across" type technology. $LITE wins no matter what. Hyperscaler ASIC vs. GPU as it's in the center of it all. 2. Applied Optoelectronics is more of the "scale-out" connectivity, for custom ASIC clusters like Trainium, Maia through 400G and 800G optical cables and transceivers. $AAOI wins no matter what as well given its role with AWS as a whale client for Trainium, and with MSFT Maia ASICs. The industry is going through a "supercycle" driven by the migration to 800G speeds and AAOI is in the center of it. On top of that, AAOI plays unique geopolitical angle, America first. Unlike many other companies that are fabless and export production elsewhere to Taiwan, Applied Optoelectronics makes their own lasers in Texas. US hyperscalers (specifically Amazon and Microsoft) are aggressively reducing reliance on Chinese supply chains for critical infrastructure and that helps AAOI’s ability to manufacture lasers at home. And we've seen another huge volume order from a "major hyperscaler" on its 800G data center transceivers. But AAOI trades like a distressed company; however, the implied revenue of its Amazon warrant agreement creates an asymmetric risk/reward profile on its 800G ramp in Q4 2025 and FY2026. AAOI seems structurally undervalued, given its role in the AI buildout and existing hyperscaler contracts. The markets are finally catching up to LITE, but it feels $AAOI is yet to begin, given its small market cap size but unique angle of a critical player to hyperscaler ASIC clusters and Made in America. The market is currently re-rating heavily with photonics players and assigning a heavy premium, yet AAOI is only up 2.20% this year and seems like it's just about to begin.
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OpenAI优势减弱，AI行业多极化，基本面未受损公司现买入机会
OpenAI 此前是明确的领导者。现在，Gemini 3.0 在图像生成方面超越了它，Claude Opus 4.5 在编码方面超越了它。以此类推。看起来在获得先发优势后，ChatGPT 似乎无法被颠覆。但现在从 Similarweb 数据我们可以看到，Gemini 的受欢迎程度相对于 ChatGPT 正在增长。而且我相信由于使用内部张量处理单元(TPU)进行推理，它们的成本效益也更高。OpenAI 试图通过要求 Mag7 和政府为其合同承诺提供担保，使整个行业依赖它，以便大家同船沉没，但这最终失败了。整个 AI 行业不仅仅是 OpenAI，随着我们看到更多的代理(Agentic)和机器人应用，我们很可能会看到 Anthropic、Google、XAI 和其他供应商的广泛大型语言模型(LLM)和日益增长的算力使用。但目前我们看到这种传染效应从 OpenAI 蔓延到该领域的几家公司 $ORCL、$CRWV，可能还有 $AMD 以及其他几跳远的公司，它们正在为承诺的资本支出构建产能。但这正在拉垮那些与 OpenAI 隔离（就股价而言）的其他公司，因此如果基本面没有受到实质性影响，这就是一个买入机会。
英文原文
OpenAI was the clear leader before. Now, Gemini 3.0 surpasses it in image generation. Claude Opus 4.5 surpasses it in coding. Can go down the line. It looked like ChatGPT couldn’t be disrupted after they got first movers advantage. Now from similarweb data we can see popularity with Gemini growing vs ChatGPT. And im sure they’re a lot more cost effective as well using in house TPUs for inference. OpenAI tried making the whole industry dependent on it, by asking Mag7 + government to backstop their contract promises so they all go down the ship together but that ended up flopping. AI industry as a whole is not OpenAI, we’ll likely see widespread LLM + growing compute usage from Anthropic, Google, XAi and other vendors as we see more agentic + robotics applications next. But right now we’re seeing contagion spread from OpenAI to several companies in the sector $ORCL, $CRWV, maybe $AMD and others few hops away that were building out capacity for their promise capex spend. But it’s taking down other companies isolated from OpenAI (in terms of stock price), which is why it’s a buying opportunity if fundamentals aren’t too materially impacted.
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Neocloud龙头承压，但获超大规模云商背书的个股是理想买点。
我预计Neocloud股票今天会表现不佳，因为$ORCL/$CRWV是“板块龙头”。 但这将是该板块个股的理想买入机会： 因为市场忽略了$ORCL/$CRWV高负债扩张的主要交易对手是OpenAI这一细微差别。 但该板块的其他公司如$NBIS、$CIFR、$WULF则由AAA评级的超大规模云服务商（$META/$META/$GOOGL/$AMZN）的现金牛业务提供背书。
英文原文
I expect a bad day for Neocloud stocks just because $ORCL / $CRWV are "sector leaders". But this would be an ideal buying opportunity for individual companies in the sector: Due to the market missing the nuance that $ORCL / $CRWV's debt-filled buildout is for OpenAI as the main counterparty. But other companies in the sector like $NBIS, $CIFR, $WULF are backstopped by AAA-rated Hyperscaler ( $META / $META / $GOOGL / $AMZN) cash cows.
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板块错杀提供买入机会，NBIS/IREN无交易对手风险且利用率高。
超额收益(alpha)在于了解哪些类型的合同能让人免受当前恐惧的影响，以及行业内哪些个别组件存在定价错误。$MSFT、$META 等公司的算力容量合同是“照付不议”(take or pay)的。 $NBIS、$IREN 等公司由于与“七巨头”(Mag7)（拥有无限资产负债表）签订5年期合同，实际上消除了**交易对手风险**(counterparty risk)。 然而，它们下跌的原因不同（$NBIS 因2500万股的自动行使机制(ATM)发行；$IREN 因市场担忧其为将剩余3GW的AI云容量管道变现而进行稀释，而非用于数据中心托管(colocation)）。 然而，主要的普遍担忧是 $ORCL、$CRWV 面临来自 OpenAI 破产+无力支付的严重交易对手风险，但由于它们是两大主要玩家，这引发了整个板块的算法抛售。 但这种板块抛售为一些未受影响（除信贷收紧外）/被误解的公司提供了良好的买入机会。 此外，AI是一个增长的市场，目前可能存在算力紧张（例如 anthropic、gemini 和其他模型），但 $NBIS、$IREN 在超大规模云服务商合同上的利用率基本为100%。 显然，如果存在过度建设，可能会导致利润率压缩，但我们目前尚未看到这种情况。5年后会发生什么，我不知道。
英文原文
The alpha is knowing what types of contracts lead to isolation from current fears and where there's mispricing on individual components in the sector. Compute capacity contracts are take or pay for $MSFT, $META, and others. Companies like $NBIS, $IREN and others are effectively de-risked due to **no counterparty risk** from Mag7 (infinite balance sheets) and 5 Year contracts. However, their drops were different reasons ( $NBIS, 25M share ATM), $IREN fears over dilution for monetizing their rest of the 3 GW capacity pipeline for AI Cloud instead of colo. However, the main overarching fear was that $ORCL, $CRWV faces severe counterparty risk from OpenAI insolvency + inability to pay, but this causes a sector algorithmic selloff because they're the two largest players. But this sector sell-off is a good buying opportunity for some of the unaffected (minus credit tightening) / misunderstood companies. Also AI is a growing market, and there's likely compute strain for the time being (eg. anthropic, gemini, and other models) but it's basically 100% utilization for hyperscaler contracts on $NBIS, $IREN. Obviously if there's overbuild, there's probably margin compression but we're not seeing that right now. What happens after 5 years I don't know.
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AI数据中心客户资金差异大，市场误判导致板块错配机会。
AI 数据中心(AI DC)领域极其微妙。 $ORCL 正基于租户 OpenAI 的积压订单/信用状况，通过债务建设产能。 OpenAI 目前无力履行其义务，且获得资金的可能性越来越小。 $CIFR 正为 $GOOGL、$AMZN 建设产能。 谷歌/亚马逊拥有资金，且这些合同已锁定。 $NBIS 正为 $META、$MSFT 建设产能。 微软/Meta 拥有资金，且这些产能合同已锁定。 但市场目前将所有积压订单都视为来自 OpenAI（不可持续的建设），因此这是买入该板块个别组件错定价的好机会。
英文原文
The AI DC sector is extremely nuanced. $ORCL is building capacity from debt based on backlog/credit worthiness of OpenAI which is the tenant. OpenAI does not have the funds at the moment to fulfill its obligations and it's looking less likely to get it. $CIFR is building out for $GOOGL, $AMZN. Google/Amazon does have the funds and these contracts are locked in. $NBIS is building out for $META, $MSFT. Microsoft/Meta does have the funds and these contracts are locked in for capacity. But the market is currently treating all the backlog like it comes from OpenAI (unsustainable build) which is why it's a good opportunity to buy into mispricing of individual components of the sector.
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甲骨文因OpenAI信用风险大跌，新云板块错杀，建议买入非OpenAI依赖标的。
甲骨文($ORCL)的财报结果及其对$NBIS和$IREN等“新云(Neocloud)”板块的影响： 甲骨文财报EPS超预期且积压订单创纪录，但盘后仍下跌12%。 甲骨文自9月11日高点以来已下跌39.8%，并拖累了整个板块。 原因如下： 抛售不仅是对营收轻微不及预期的反应，更是算法做空和投资者对AI资本支出(Capex)周期可持续性，以及该板块主要租户OpenAI偿债能力的担忧。 甲骨文宣布2026年资本支出增加150亿美元至近500亿美元，这与据报道的与OpenAI的3000亿美元合作伙伴关系密不可分。 最初，OpenAI作为前沿大语言模型(LLM)，向甲骨文、Coreweave等承诺了诱人的资本支出，推动了板块的初步重估。 然而，随着超过1万亿美元的债务义务以及来自Anthropic、Gemini、XAI等的竞争加剧，市场严重怀疑甲骨文、Coreweave等是否为一家无法通过经营性现金流履行义务的租户建设基础设施。 市场有效发出了信号：甲骨文正在为无法履行承诺的OpenAI提供不可持续的债务融资“供应商融资(Vendor Financing)”。 因此，下跌是理性的：抛售由信用风险和资本密集度的理性重估驱动。 OpenAI资金担忧是合理的：OpenAI缺乏资金履行合同的假设，由其收入(130亿美元)与义务(600亿美元/年)之间的巨大错配所支持。 信用担忧是真实的：甲骨文信用违约互换(CDS)利差的扩大表明“信用事件”降级或违约的概率上升。 此外，我们看到这在“新云”板块中引发了传染效应：$NBIS从140美元跌至90美元区间，$IREN从80美元跌至40美元区间，$CIFR从20多美元跌至17美元区间。 但这对于$WULF、$NBIS、$IREN等新云公司是否是买入机会？ 是的。 这对$ORCL是否是好的买入机会？ 不是。 前瞻展望： $ORCL(大部分)和$CRWV(25%积压订单)是两大主要依赖OpenAI的玩家，这一叙事可能因OpenAI的融资活动而瞬间反转(+30%以上波动)。 如果OpenAI在2026年以高估值进行超额认购的IPO，且其新GPT模型击败Gemini/Claude，情况可能改变。 然而，许多其他玩家与OpenAI隔离。新云板块的原始逻辑是Mag7从其现金牛业务(Azure, AWS, GCP)向下漏斗资金至：$NBIS, $IREN, $CIFR, $WULF等。 但随着最大玩家($ORCL, $CRWV)下跌，算法交易拖累了整个板块。 如果单独看公司，$CIFR和$WULF由$GOOGL背书，$IREN/$NBIS由$MSFT资助。 这些是来自超大规模云厂商/Mag7的锁定合同积压，而非OpenAI。 这种因误解风险而导致的非理性抛售，为新云板块提供了绝佳的买入机会，但不包括与OpenAI绑定的$ORCL和$CRWV。
英文原文
Oracle [ $ORCL ] earning results and its effect on the neocloud sector like $NBIS & $IREN: Oracle reported earnings with a beat on EPS and a record backlog but, dropped 12% after hours. Oracle is down 39.8% from September 11th highs and brought down the sector with it. Here's why: The sell-off was not merely a reaction to marginal revenue miss, but both an algorithmic short and investor selloff on the sustainability of the AI capex cycle and the creditworthiness of the sector's primary tenant: OpenAI. Oracle's announcement of a $15 billion increase in 2026 capital spending to nearly $50 billion was inextricably linked to a reported $300 billion partnership with OpenAI. Originally, OpenAI was the frontier LLM, with promising capex promises to Oracle, Coreweave and others, contributing to the initial repricing of the sector. However, with over $1t+ in obligations and increasing competition from Anthropic, Gemini, XAI, and others, the markets have serious doubts on whether Oracle, Coreweave, and others are building for a tenant that cannot currently fund its obligations from operating cash flow. WE're seeing the market effectively signaling that the market Oracle is creating an unsustainable debt-funded "vendor financing" for OpenAI, which cannot fulfill its promises. So, the drop was rational: The sell-off was driven by a rational repricing of credit risk and capital intensity. OpenAI Funding Fear is Valid: The hypothesis that OpenAI lacks the funds to honor its contracts is supported by a glaring mismatch between its revenue ($13B) and its obligations ($60B/year). Credit Fears are Real: The widening of Oracle's CDS spreads sees a rising probability of a "credit event" downgrade or default. Furthermore, we're seeing this trigger a contagion effect across the "Neocloud" sector from $NBIS dropping from $140 to $90s, $IREN dropping $80 to $40s, $CIFR dropping from $24s to $17s. But is this a buying opportunity for Neoclouds like $WULF, $NBIS, $IREN, and others? Yes. Is this a good buying opportunity for $ORCL? No. Forward Outlook: $ORCL (large portion) , $CRWV (25% backlog) are the two players largely dependent on OpenAI and this narrative can flip in an instant (+30%+ change) depending on capital raising activity from OpenAI. If OpenAI files for an oversubscribed IPO in 2026 at high valuations and it's new GPT models beats out Gemini/Claude, we can see this change. However, many other players are isolated from OpenAI. The original thesis of the Neocloud sector was Mag7 capex funndel from their cash cows segments (Azure, AWS, GCP) down into: $NBIS, $IREN, $CIFR, $WULF, and others. But as the largest players ( $ORCL, $CRWV) fall, these algorithmically bring down the whole sector. If you look at the companies individually, companies like $CIFR and $WULF are being backstopped by $GOOGL, and $IREN / $NBIS are funded by $MSFT. These are locked in contract backlogs from Hyperscalers/Mag7, not OpenAI. This irrational selloff due to misunderstanding of risks presents an amazing buying opportunity for the Necoloud sector, but not companies tied to OpenAI like $ORCL and $CRWV.
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因OpenAI资金风险回避ORCL，看好其他新云厂商回调机会
我一直将 $ORCL 列为回避名单，这次财报导致其下跌11%正是原因所在。 我需要更多时间深入研究，但令人担忧的不仅仅是资本支出(capex)，很大一部分是因为这些支出是为 OpenAI 服务的（而 OpenAI 没有足够的资金来覆盖积压订单）。 其他新云厂商(neoclouds)如 $NBIS 没有这个问题，因为它们的积压订单来自确实有钱的 $MSFT。超大规模云厂商(hyperscaler)的资本支出漏斗才是新云厂商核心逻辑的核心，而不是像甲骨文那样依赖/受制于 OpenAI。 因此，其他新云厂商随之抛售带来的下跌提供了一个良好的机会。
英文原文
I’ve been putting $ORCL on avoid and this earnings was the reason why on the 11% drop. I need more time to look into it but it’s not just capex spend that’s worrying, a large part of it is because of OpenAi (which doesn’t have the funding for the backlog) that a lot of the spend is for. Other neoclouds like $NBIS don’t have this problem because their backlog is from $MSFT that actually have the money. And hyperscaler capex funnel was the core Neocloud thesis, not levered/contingency on OpenAi which oracle faces. So selloff on other Neoclouds that got brought down with it presents a good opportunity
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美联储降息后发布12月11日个股评级，重点推荐AI基建、稳定币及超跌成长股。
美联储降息25个基点后。 12月11日评级： 强烈买入： $CRCL $COIN $AMKR $CRDO $IBIT $MSTR $AMZN $SMCI $TSM $TSSI SK海力士 $SNAP 三星电子 $ALAB $META $NBIS $CIFR 买入： $KRUS $AVGO $NFLX $KRKNF $HIMS $FLY $OSS $TE $FLNC $LITE $COHR $RKLB $TTD $NVDA $CLS $GOOGL $RDDT $WULF $CRWV $IREN $GLXY $WLAC $MPWR 回避 $RGTI $PLTR $WMT $ETH $BMNR $TSLA $IONQ $ORCL $SLNH $OKLO 解释： 今天美联储如期降息25个基点。这通常会引导流动性进入成长股，并利好那些债务使用最多（以更低利率再融资）的中小盘股，例如像$NBIS和$CIFR这样的新云(Neoclouds)。 然而，这也恰逢日本加息，可能导致去年重新加载的套息交易(Carry Trade)平仓；但这是短期的，基本面>短期波动。 强烈买入评级： Circle - 大幅下跌主要由于IPO后的股份解禁。然而，降息损害了其商业模式~利息收入减少20%。 话虽如此，我们看到稳定币市场大幅增长，我个人看到大量早期风险投资（a16z, Sequoia等）涌入与稳定币相关的公司，如新银行(Neobanks)。我们应该看到所有这些都流入更多的USDC铸造，铸造量将抵消降息的影响。 Coinbase - 与Circle相同，他们在USDC方面有50%的收入分成。然而，他们还有自己的交易所，而且降息通常有助于风险资产如加密货币（尤其是比特币跌破9万美元后）。 Amkor - 受益于半导体/晶圆厂向美国制造的转移。 Credo - 过去5天下跌-16%，今天下跌8%。很好的恢复性买入，不认为数据中心建设的数据连接需求会下降。 ALAB - 与CRDO相同的论点 IBIT (比特币) - 始终是长线好标的，尤其是在$93K时 Microstrategy (MSTR) - 受益于比特币复苏，并分析了他们是否会爆仓。TLDR：不会，在需要支付利息之前（约2029年），我们还有另一次比特币减半事件。 Amazon - 今年一动不动。基本面改善，年底有助于电商部门。定制芯片、星座、Robotaxi，他们基本上什么都做，而市场尚未真正奖励他们的努力。只是感觉我们可能会在接下来的2个月看到它跑赢大盘。 SMCI - 之前发过关于这个的论点帖，惊人的恢复性买入。它因将收入积压转移到下一季度而在财报后下跌，但市场没有定价他们未来收入同比增长60%但交易在~11倍远期市盈率的事实。 TSM - 整个AI/半导体建设的骨干。我们看到关于TPU与GPU的争论，但TSM不在乎。 TSSI - 与SMCI相同的论点，依附于Dell，作为一个代理，我们看到来自IREN等供应商和其他在2026年建设数据中心的新云的巨大积压，我们应该看到这在明年实现。 SK海力士 - 显然有关于在美国市场上市升级的传闻，这应该提振流动性。此外，内存市场因AI建设而需求极高。 Snapchat - 只是被低估。$13B市值，~1B+季度收入。NA DAU较上季度下降3%，但不要为了成为下一个FB而买入。他们只需要削减GCP成本并货币化记忆功能（他们已经做了），我们应该看到明年重新评级100%+，特别是随着Perplixty交易带来的$400m+额外收入/股权。 三星电子 - 人们认为这也是内存，因为它构成了他们利润的很大一部分，但我将其视为潜在的下一个现金牛晶圆厂玩法，如TSM，作为第二大玩家吸收任何最大产能溢出。 META - 一次性税收抛售，超卖。现在我们终于看到他们创建前沿模型（Avacado，如果我记得没错的话）。所以他们可以货币化他们一直在花钱的llama开源llm努力。他们还削减了元宇宙努力，这应该是对盈利能力的巨大推动。 Nebius - 由于2500万股稀释导致短期拖累。ATM可能正在提供。话虽如此，一旦完成，由于来自其DC业务（7-9B ARR）及其4家市场未定价的子公司（同比增长100%+）的远期收入/增长，极度低估。 CIFR - 由于比特币价格（资产负债表上持有大量）导致短期下跌，但由于他们做托管(Colo)模式，不受GPU贬值争论的太大影响。此外由Google背书，并与Amazon有合同，因此从根本上降低了风险，是新云领域的顶级买入之一。 买入评级： 文字空间不够，所以给出更短的TLDR Kura Sushi - 波段交易，拉出5年图表，你会明白我的意思，每次它触底（大约现在）。这从未失败过！ Broadcom - 超大规模建设，与联发科一起对TPU至关重要 Netflix - 16%的下跌对于收购来说感觉有点不必要 KRKNF - 基本面增长良好，作为Andruil供应商的市场具有防御性。 HIMS - 股票回购计划，通常低于$40是很好的买入/波段交易。Zava收购未被定价，且仍在增长。 FLY - SpaceX $1.5T估值应该提振整个太空板块。这是2026年中型发射的玩法。 OSS - 之前对此进行过DD，潜在的Andruil供应商。否则，在这个市值下无论如何都有些低估。 TE - 少数Murican能源基础设施之一，太阳能。它可能比核能更商业化。 FLNC - 与AI建设+能源相同的论点 LITE - 现在相当过度延伸，不会追高。但长期受益于处于tpu ironwood + blackwell建设的中间。 COHR - 与Lite相同，但似乎是次要玩家。 RKLB - 可能是我最喜欢的长线。现在相当高估，但由于SpaceX的FOMO无法避免。 TTD - 之前的论点帖，仅基于远期收入数字，似乎是一个很好的恢复性玩法。 NVDA - TPU恐惧有点夸大，看看积压订单。 CLS - TPU v7生态系统买入 GOOGL - 他们像NVDA一样销售TPU，像Waymo一样增长Robotaxi市场，Gemini成功。全方位开火。 Reddit - 就像早期的Robinhood一样，只是一台印钞机。对RDDT通过FCF增长收购做了一些论点评论。否则，他们将留下来并受益于所有世代使用它（不像Snap那样早期） WULF - 类似于CIFR。重新评级可能会发生，取决于更多关于Anthropic建设的信息。 CRWV - 糟糕，糟糕的长线。良好的短期恢复性买入。 IREN - 如果他们继续购买GPU来做AI云，我不会把钱投进去，只是因为稀释。但他们可能会做托管，并且拥有大量的GW容量，所以仍然很有希望。 GLXY - 数据中心建设的受益者。 WLAC - 可能他们本月进行SPAC IPO。他们说Q4。 MPWR - TPU v7生态系统买入 回避 RGTI - 量子，没有基本面/收入支持 PLTR - 449.01B市值lol WMT - 他们每年增长4%的收入，但交易在40倍市盈率，这很疯狂。 ETH - 以太坊伟大的网络。然而，没有代币销毁，也没有收入流向代币持有者。糟糕的投资，伟大的开发者工具/生态系统。 BMNR - 以太坊代理。 TSLA - 有点脱离基本面。但这是对elon musk、大规模Robotaxi、机器人的赌注。我个人只是认为这过度承诺，但我们会看到。 IONQ - 量子，没有基本面/收入支持 ORCL - 大部分远期积压依赖于openai，如果openai在市场份额上输给claude/gemini，这使得事情极其不确定/有风险。话虽如此，现在是一个很好的恢复性买入，但长期来看有风险。 SLNH - 如果你想被他们的2.8gw管道稀释到虚无，这是要持有的股票。 OKLO - 没有像量子那样的基本面来支持目前的市值，这可能需要多年才能实现。
英文原文
Post-Fed Interest Rate 25BPS cut. December 11th ratings: Strong Buy: $CRCL $COIN $AMKR $CRDO $IBIT $MSTR $AMZN $SMCI $TSM $TSSI Sk Hynix $SNAP Samsung Electronics $ALAB $META $NBIS $CIFR Buy: $KRUS $AVGO $NFLX $KRKNF $HIMS $FLY $OSS $TE $FLNC $LITE $COHR $RKLB $TTD $NVDA $CLS $GOOGL $RDDT $WULF $CRWV $IREN $GLXY $WLAC $MPWR Avoid $RGTI $PLTR $WMT $ETH $BMNR $TSLA $IONQ $ORCL $SLNH $OKLO Explanations: Today fed cut interest rates 25BPS as expected. This usually funnel liquidity into growth stocks and benefits small-medium caps that use debt the most (refinance with lower interest rates), such as Neoclouds like $NBIS and $CIFR. However, this coincides with Japan hiking, which might lead to carry trade unwind from last year's reload; but this is short term, fundamentals > volatility short term. Strong Buy Ratings: Circle - Massive drop mainly due to share unlock post IPO. However, rate cuts hurt their business model ~20% revenue cut from interest. That being said, we're seeing a massive growth in the stablecoin market, and I'm personally seeing huge early venture capital funding (a16z, sequioa, etc). being poured into stablecoin related companies such as Neobanks. We should see all of this funnel into more USDC printing, and the printer outweigh rate cuts. Coinbase - Same as Circle, they have 50% revenue sharing in terms of USDC. However, they also have their exchange on top, and rate cuts generally help riskier assets such as crypto (especially post drop Bitcoin sub 90k) Amkor - Benefits from Made in America shift to semis/fab. Credo - Dropped -16% last 5 days, and 8% today. Great recovery buy, don't see connectivity demand dropping from DC buildout. ALAB - Same thesis as CRDO IBIT (Bitcoin) - Always a great long, especially so at $93K Microstrategy (MSTR) - Benefits from Bitcoin recovery and did an analysis whether they would get liquidated or not. TLDR: no, we have another bitcoin halving event before they need to pay off interest, which was around 2029. Amazon - Hasn't moved an inch all year. Fundamentals improving, EOY helps E-commerce division. Custom chips, constellations, robotaxis, they're basically doing everything and market hasn't really rewarded their effort yet. Just a feeling we might see this outperform next 2 months. SMCI - Did a thesis post on this earlier, amazing recovery buy. It dropped on earnings due to shifting revenue backlog to next quarter, but markets aren't pricing in the fact they're growing 60% Y/Y forward revenue but trading at ~11 forward p/e or so. TSM - Backbone of the whole AI/semi buildout. We're seeing arguments about TPU vs. GPU, but TSM doesn't care. TSSI - Same thesis with SMCI, piggybacks off of Dell, just as a proxy we're seeing massive backlog from vendors such as IREN, and other neoclouds building out DCs 2026, and we should see this come into fruition next year. Sk Hynix - Apparently there's been rumors about uplisting to US markets, which should be a boost to liquidity. Also memory markets is just incredibly high demand from AI buildout. Snapchat - Just undervalued. $13B marketcap, ~1B+ quarterly revenue. NA DAU dropped 3% from last quarter but don't buy this for being the next FB. All they need to do is cut GCP costs and monetize memories (which they did) and we should see this re-rate 100%+ next year, especially with $400m+ in added revenue/equity from the Perplixty deal Samsung Electronics - People think of this as memory as well because it makes up a large part of their profit, but i see this as a potential next cash cow foundry play like TSM, as the 2nd largest player to soak up any max capacity overflow. META - One time tax selloff, was oversold. Now we finally see them create a frontier model (Avacado) if i remember correctly. So they can monetize the llama open source llm efforts they've been just blowing money on. They also cut their metaverse efforts, which should be a huge boost in proftiability. Nebius - Short term drag due to 25m share dilution. ATM is likely being offered. That being said once this finishes, insanely undervalued due to forward revenue/growth from both its DC business (7-9B ARR), and its 4 subsidaries that the markets dont price in (growing 100%+ Y/Y) CIFR - Short term drop due to Bitcoin prices (holding a lot on balance sheet), but not really affected by GPU depreciation arguments since they do colo models. Also backstopped by google, and they have contracts with Amazon, so fundamentally disrisked and one of the top buys in neocloud secotr. Buy Ratings: Running out of text space so will give a shorter TLDR Kura Sushi - Swing trade zoom out 5 year chart and you'll see what I mean every time it bottoms (around now). This never fails! Broadcom - Hyperscaler buildout, critical to TPU alongside Mediatek Netflix - 16% drop feels a bit unwarranted for the acquisition KRKNF - Great growing fundamentals and defensible market as an andruil supplier. HIMS - Share buyback program, usually sub $40 great buy/swing trade. Zava acqusition not being priced in and it's still growing. FLY - SpaceX $1.5T valuation should boost up the whole space sector. This was a 2026 play for medium lift. OSS - DD on this earlier potential andruil supplier. Otherwise, kind of undervalued at this MC anyway. TE - One of the few Murican energy infra, Solar. It's likely more commercial than Nuclear. FLNC - Same thesis with AI buildout + energy LITE - Pretty overextended right now, wouldn't chase. But long term benefits from being in the middle of both tpu ironwood + blackwell buildout COHR - Same with Lite, but seems like a secondary player. RKLB - Probably my favorite long. Pretty overvalued right now but can't help it due to SpaceX fomo. TTD - Thesis post earlier, just based on forward revenue numbers, it seems like a great recovery play. NVDA - TPU fears are a bit overblown, just look at backlog. CLS - TPU v7 ecosystem buy GOOGL - They sell TPUs like NVDA, growing robotoaxis market like waymo, gemini succesful. Just firing on all fronts. Reddit - Just a money printer like early day Robinhood. Made some thesis comments about RDDT growing in terms of acquisitions from FCF. Otherwise, they're here to stay and benefits from all gens using it (unlike snap which is earlier) WULF - Similar to CIFR. Rerating might happen depending on more info about the Anthropic buildout. CRWV - Terrible, terrible long. Good short term recovery buy. IREN - I would not put money into this if they kept buying GPUs to do AI cloud just due to dilution. but they might do colo and they have an immense amount of GW capacity so it's still promising. GLXY - Beneficary of DC Buildout. WLAC - Possible that they're SPAC ipoing this month. They did say Q4. MPWR - TPU v7 ecosystem buy Avoid RGTI - Quantum, no fundamentals/revenue to back it up PLTR - 449.01B market cap lol WMT - They're growing like 4% revenue a year, but trading at 40 p/e which is insane. ETH - Ethereum great network. However, there's no token burn and none of the revenue goes to token holders. Terrible investment, great developer tooling/ecosystem. BMNR - Ethereum proxy. TSLA - Kind of detached from fundamentals. But it's a bet on elon musk, robotaxis at scale, robotics. I personally just see this as overpromising, but we'll see. IONQ -Quantum, no fundamentals/revenue to back it up ORCL - Most of forward backlog is dependent on openai, which makes things incredibly uncertain/risky if openai falls to claude/gemini in market share. That being said, it's a good recovery buy right now, but long term it's risky. SLNH - This is the stock to be in if you want diluted to oblivion on their 2.8gw pipeline. OKLO - no fundamentals like quantum to back up mc at this moment, this likely years out to come into fruition.
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分析NBIS和IREN财报后大跌原因，认为跌幅过度且受情绪影响。
财报前 $NBIS 股价在 $115-$135 区间。此后因以下利好下跌约 21%-40%：与 $UBER 合作推出 Robotaxi FSD，ARR 预估翻倍，GW 产能指引上调 150%，$META 意外合同，MSCI 纳入带来的资金流入。唯一的利空是 2500 万股稀释。作为投资者我极度反感这一点（更偏好 FCF -> 产能爬坡）。不幸的是，$ORCL 和 $CRWV 的重大债务警告、$CRWV 影响 $APLD 等供应商发行垃圾债及信贷收紧，以及 GPU 折旧论调同时打击了 Neocloud 市场。其中只有信贷收紧是实质性的，不足以解释 $NBIS 的大幅下跌（纯属情绪）。话说回来，他们确实需要改善营销。（例如没人将 Robotaxi 与 $NBIS 关联，主流新闻也不知晓此事）。至于 $IREN，他们出人意料地选择购买 GPU 而非 Colo 服务，鉴于 3GW 产能，投资者可能看到巨大的潜在稀释，因此也下跌了 40%。我相信 $IREN 在营销方面没问题，它拥有像 $ASTS 那样的狂热追随者（这对他们是好事）。
英文原文
Pre-earnings $NBIS was sitting around $115-$135. We've dropped over ~21%-40% since then on: Robotaxi FSD launch with $UBER, doubled ARR estimates, increased GW capacity guidance by 150%, surprise $META contract, MSCI inclusion inflow. The only downside: 25m share dilution. Which I extremely dislike as an investor (FCF -> ramp up would be preferred) Unfortunately, TI hit reports on $ORCL, $CRWV major debt flag, $CRWV affecting suppliers from $APLD raising junk bonds + credit tightening, and GPU depreciation arguments all kind of hit the Neocloud market at the same time. Only credit tightening was something material and doesn't warrant that much of a drop for $NBIS (purely sentiment). That being said they need to improve their marketing for sure. (Eg. nobody associates robotaxis with $NBIS at all and even mainstream news don't know about it). As for $IREN, they did a surprising move to buy GPUs instead of colo offerings and given the 3GW capacity investors probably see a huge huge amount of potential dilution, hence the 40% drop too. I'm sure $IREN is fine on the marketing front, it has that cult-like following like $ASTS (which is a good thing going for them).
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澄清折旧应从资产可供使用时开始，而非实际使用时。
另外——“折旧仅在底层资产（GPU）投入使用时才开始计提”——这一说法存在细微差别且倾向于错误。我不确定 $IREN 是否有特殊规定，但一般而言，折旧从资产“可供使用”时开始，而非“实际使用”（暗示100%利用率阈值、客户工作负载或资产真正被使用）。例如，查看 $ORCL 的报告，其已考虑了利用率滞后因素。
英文原文
Also - "Depreciation only kicks in once the underlying assets (GPUs) are in use." - this is nuanced and leans false. I'm not sure if this is is different for $IREN in specific, but just in general depreciation starts when the asset is available for use, not in use implying your 100% utilization (thresholds), not for cusotmer worklods, or assets actually being in use. (eg. if we look at $ORCL's report it accounted for utilization lag).
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看好传统云商，CRWV或成新云代表，板块成员间接受益。
鉴于数据的重要性，概率上更倾向于像 $ORCL 这样的联邦云(FedRamp)提供商以及像 $AMZN、$GOOGL 和 $MSFT 这样的传统超大规模云服务商(Hyperscalers)。 $CRWV 可能是最有可能成为新云(Neocloud)代表的公司，但他们仍处于应用阶段。$NBIS 的可能性不大。 话虽如此，新云板块的其他成员也是间接受益者。
英文原文
Prob just fedramp providers like $ORCL and traditional hyperscalers like $AMZN, $GOOGL, and $MSFT given how critical the data is. $CRWV is probably the most likely Neocloud but they’re still in application phase. $NBIS is unlikely. That being said, other Neocloud sector members are indirect beneficiaries.
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警惕OpenAI泡沫，看好Mag7资本支出受益的AI基础设施股。
我对“AI泡沫”的主要担忧是OpenAI及其1万亿美元资本支出(capex)的承诺。这显然是一个泡沫（以及大语言模型LLM的私人估值）。其他大多数方面则不然。 任何直接依赖他们的公司，如$ORCL、$CRWV，鉴于AI模型在技术上已超越GPT，可能会陷入困境。所以简单的做法就是远离它们！ 就我个人而言，ChatGPT 5.1的表现糟糕透顶，我实际上取消了订阅，转而使用Gemini/Claude。Claude Opus 4.5在编码任务上优于Codex。Gemini在图像生成上优于ChatGPT。此类例子不胜枚举。 无论如何，AI将长期存在，任何与Mag7相关的（$GOOGL -> $CIFR, $WULF），（$MSFT -> $IREN, $NBIS），以及连接性如$ALAB (AWS), $CRDO (mag7)都极具前景，因为它们是Mag7自由现金流(fcf)增加资本支出的直接受益者。
英文原文
The main fear I have in the "AI Bubble" is OpenAI and their $1T capex promises. That is a clear bubble (and private valuations of LLMs). Most other things, no. Any company directly reliant to them $ORCL, $CRWV might be in trouble given how AI models leapfrogged GPT. So the simple thing to do is stay away! Personally speaking, ChatGPT5.1 is horrendous and I actually cancelled my subscription to go with Gemini/Claude. Claude Opus 4.5 outperforms Codex in coding tasks. Gemini outperforms ChatGPT in image generation. Can go on and on. Regardless, AI is here to stay, and anything Mag7 related ( $GOOGL -> $CIFR, $WULF ), ( $MSFT -> $IREN, $NBIS), connectivity like $ALAB (AWS), $CRDO (mag7) is extremely promising since they're the direct beneficiaries of increasing capex from mag7 fcf
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分析$NBIS自建数据中心、GPU贬值、融资稀释及过度建设四大风险。
关于风险的好问题，我也喜欢讨论下行风险。 1. 超大规模云厂商(Hyperscalers)在5年内完全自建数据中心，包括GPU（$GOOGL的TPU，$AWS的Tranium）、能源和选址。 这类似于高通(Qualcomm)与苹果的关系。苹果使用$QLCM，然后建立垂直整合——一旦完成就抛弃客户。因此在此期间建立公司自身护城河很重要（$NBIS在此期间通过Cursor、Shopify等企业客户进行全栈建设并扩展子公司。完全依赖一两个超大规模云厂商合同的公司表现不佳）。 2. $NBIS、$IREN、$CRWV和$ORCL的GPU贬值风险。 任何进行全栈服务的提供商都有更高的利润率、更高的收入和更快的爬坡速度。但这涉及在GPU上花费数十亿美元，而这些GPU在未来4年内价值大幅缩水。 我一直认为GPU多年后仍有价值，例如TPU仍在使用7-8年，2020年的$NVDA GPU仍高价转售并用于不同层级的推理（低优先级），并与新模型并行运行。 3. 信贷收紧+稀释 建设支出过多->需要更多稀释以建设和购买GPU。我们已经看到$4B可转债+$2.5B ATM发行。$NBIS应该足够，但始终存在利润率低于预期的风险（如$ORCL建设），然后公司需要更多稀释。在更难融资的市场中（如$APLD垃圾债），可能会遇到$CRWV的问题，被迫以糟糕的利率融资，侵蚀利润率。 4. 过度建设 如果LLM软件有突破，例如Claude Opus 4.5使用DeepSeek类型的轻量级推理，那么GPU利用率降低，我们会看到数据中心、$NVDA、$AMD等随AI浪潮下跌。 这些可能是$NBIS的四个主要风险。每家公司不同，对于$IREN我会指出其IaaS层的软件编排以优化利润率，但$NBIS已经掌握这一点。
英文原文
Good question about risk, I enjoy talking about the downsides too. 1. Hyperscalers completely their own datacenter buildout with GPUs (TPUs with $GOOGL, Tranium with $AWS), energy, locations in 5+ years. This is the analogy of Qualcomm with Apple. Apple just uses $QLCM, then builds it's own vertical integration -> once it's done it sacks the customer. Hence why it's important to build up a company's own moat during the time ( $NBIS is doing full-stack with its own enterprise clients like cursor, shopify, etc during this time and scaling subsidiaries. Companies fully dependent on one or two hyperscaler contracts don't do well). 2. GPU deprecation for $NBIS, $IREN, $CRWV, and $ORCL. Any provider doing full stack has higher margins, higher revenue, higher ramp. But that comes into spending billions on GPUs and the GPUs not too much value over the course of the next 4 years. I've always maintained GPUs are still valuable many years later, eg. TPUs still are used 7-8 years later, 2020 $NVDA GPUs are still resold high and are used different stacks of inference (lower prio) but run alongside newer models. 3. Credit tightening + dilution Too much spend on buildout -> needs to dilute more to build + buy GPUs. We've already seen that with the $4B convertible + $2.5B ATM offering. $NBIS should have enough, but there's always the risk margins are lower than expected eg. $ORCL buildout, then the company needs to dilute more. In a market where it's harder to raise eg. $APLD junk bonds, it might run into the $CRWV problem where they are forced to raise money with terrible interest rates cutting into the margins. 4. Overbuildout If there's a breakthrough in LLM software, for example, Claude Opus 4.5 using deepseek type lightweight inference, then less utilization of GPUs then we see data centers, $NVDA, $AMD, and others go down with the AI ship. Those are probably the four main risks for $NBIS. This is different for each company, for $IREN I would point to software orchestration for their iaas layer for margin optimization but for $NBIS they have that down.
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四大流动性冲击引发高杠杆资产暴跌，但AI巨头基本面未变。
市场刚刚经历了近代史上最严重的去杠杆冲击。 高贝塔资产正在崩溃： • $NBIS, $IREN, AI 股票从高点下跌约 40%+ • $MSTR, $BTC 在过去一个月暴跌 30-40%+ • 加密货币市值蒸发超过 1.2 万亿美元 这不正常，这是针对市场上增长最快且杠杆最高的板块的强制平仓。 以下是同时发生的四个流动性流失因素： 1. 加密货币前兆冲击（2025 年 10 月 – Binance 故障） • Binance 的定价错误导致 USDe 跌至 0.65 美元，在 24 小时内触发了超过 190 亿美元的强制清算 • 使用 USDe/wBETH/BNSOL 的高杠杆头寸（25x–50x）引发了全行业连锁保证金清算的连锁反应 • 该事件使加密货币结构脆弱，波动性现在威胁到流入 $MSTR/国债股票超过 70 亿美元的 MSCI 资金，存在 BTC/NAV 错配和强制出售比特币的风险 2. 美联储政策不确定性（降息鞭打效应） • 在美联储发出矛盾信号后两天内，市场对 12 月降息预期从 97% → 35% → 70%+ • 这种波动起到了隐性紧缩的作用，迫使杠杆基金和算法（在 $NVDA 财报后看到的情况）提前去杠杆 • 政策模糊性提高了全球风险，将美国的不确定性传导至全球融资市场的广泛抛售 3. AI 信贷压力（投机性债务破裂） • AI 建设需要 3.5 万亿美元的外部融资，促使公司大量进入债务市场 • Google + XAI 在 Similarweb 上的使用量提升引发了人们对 OpenAI 和循环融资的担忧，以及 $1T+ 的资本支出流向 $ORCL, $CRWV, $AMD 等公司，而这些公司并没有必要的资本。 • Applied Digital [ $APLD ] 23.5 亿美元垃圾债券（评级 B+）暴露了交易对手和集中度风险，由于需要更多债务来资助建设，其股票及相关数据中心股票下跌。 • 资本市场开始区分拥有真实现金流的公司和依赖投机性债务及 OpenAI 合同的公司，惩罚了如 $ORCL 和 $CRWV 等标的。 4. 日元套利交易平仓（催化剂） • 日本央行加息至 0.5% 及正常化缩小了美日利差，挤压了 80 万亿日元（约 5000 亿美元）的杠杆头寸 • 日本国债收益率上升引发回流资金，给美国收益率带来压力并抽干全球流动性 • 强制平仓导致投资者出售美国科技股和加密货币以偿还日元贷款，加剧了避险情绪的连锁反应 底线： 所有四个冲击都从市场的同一角落抽干了流动性——高贝塔、高杠杆资产，导致成长型科技和加密货币剧烈去杠杆，并增加了进一步强制抛售的风险。 过度的杠杆、脆弱的资产负债表和集中度风险决定了哪些资产跌幅最大。 美联储开启新一轮降息周期是一个“拐点”，投资者需要判断这种宽松是预防性措施还是对更严重衰退的反应。然而有一件事是确定的： 宏观冲击重置了估值，但并没有改变从 $NBIS 到 $META 的企业基本面。
英文原文
Markets just suffered their worst deleveraging shock in recent history. High-beta assets are collapsing: • $NBIS, $IREN, AI stocks are down ~40%+ from peaks • $MSTR, $BTC plunged 30-40%+ in the past month • Crypto erased over $1.2 trillion in value This wasn’t normal, it was a forced unwind across the markets with the most growth and leverage. Here's the four liquidity drains hitting at once: 1. Crypto precursor shock (Oct 2025 – Binance failure) • A pricing error on Binance sent USDe to $0.65, triggering $19B+ in forced liquidations in 24 hours • Highly leveraged positions (25x–50x) using USDe/wBETH/BNSOL cascaded into a chain reaction of cascading margin liquidations across the industry • The event left crypto structurally fragile, and volatility now threatens $7B+ MSCI inflows into $MSTR/treasury stocks, risking BTC/NAV mispricing and forced Bitcoin sales 2. Fed policy uncertainty (rate cut whiplash) • Markets priced a December cut at 97% → 35% → 70%+ in two days after conflicting Fed signals • This volatility acted as a stealth tightening, forcing leveraged funds and algorithms (seen post $NVDA earnings) to deleverage pre-emptively • Policy ambiguity raised global risk, transmitting U.S. uncertainty into broad selling across global funding markets 3. AI credit stress (speculative debt cracks) • AI build-out requires $3.5T in external financing, pushing companies heavily into debt markets • Google + XAI raise in usage per similarweb raised concerns about OpenAI and circular financing, alongside how $1T+ in capex spend going into $ORCL, $CRWV, $AMD, and others without having the ncessary capital. • Applied Digital [ $APLD ] $2.35B junk bond (rated B+) exposed counterparty and concentration risk, sending its stock and related data center stocks down due to the need of more debt to fund buildout. • Capital markets began differentiating between firms with real cash flow and those reliant on speculative debt and OpenAI contracts, punishing names such as $ORCL and $CRWV. 4. Yen carry trade unwind (the catalyst) • BoJ rate hikes to 0.5% and normalization narrowed the U.S.–Japan rate gap, squeezing ¥80T (~$500B) in leveraged positions • Rising JGB yields triggered repatriation flows, pressuring U.S. yields and draining global liquidity • Forced unwinds led investors to sell U.S. tech and crypto to repay yen loans, amplifying the risk-off cascade Bottom line: All four shocks drained liquidity from the same corner of the market, high-beta, leveraged assets, driving a violent unwind in growth tech and crypto and raising the risk of further forced selling. Excessive leverage, fragile balance sheets, and concentration risk determined which assets crashed the hardest. The beginning of a new rate-cutting cycle by the Fed is an "inflection point" as investors need to determine whether the easing is a preventative measure or a reaction to a more serious downturn. However one thing is for certain: The macro shock reset valuations, but it didn’t change the fundamentals of businesses from $NBIS to $META.
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Coreweave全栈虽强但现金流紧张且依赖OpenAI，风险巨大。
同意。但关于 @_melonBird 引用的 SemiAnalysis 对 $CRWV 的排名，我认同该表格。Coreweave 和 $NBIS 是整个 Neocloud 领域中唯二在“全栈”方面做得扎实的。Coreweave 花了多年时间和数十亿美元进行收购，以完善软件。然而，当你查看公司财务报表时，该表格毫无意义。Coreweave 仅剩 19 亿美元现金等价物，且每年面临 12 亿美元以上的债务利息。在信贷收紧期间，他们还需要为其他超大规模云厂商合同的建设筹集更多资金（而像 $NBIS 这样规模小得多的玩家却有 49 亿美元以上用于资本支出）。此外，其 1/3（220 亿美元以上）的积压订单来自 OpenAI，而 OpenAI 尚未获得履行该 1 万亿美元以上承诺的资金，$CRWV / $ORCL 正在为他们建设产能，这构成了巨大风险。
英文原文
Agreed. But to @_melonBird with the SemiAnalysis ranking on $CRWV, I agree with that table. Coreweave and $NBIS are the two with full-stack nailed down in the whole Neocloud sector. Coreweave spent many years and billions of USD on acquisitions to get software right. However, that table doesn't mean anything when you look at company financials. Coreweave only has $1.9B cash equivalent left and faces $1.2B+ a year from debt interest. And they'd need to raise more for buildout for their other hyperscaler contracts during a period of credit tightening (when much smaller players like $NBIS has $4.9B+ to spend on capex) On top, 1/3 ($22B+) of their backlog comes from OpenAi which has no funding for that $1T+ promised yet, and $CRWV / $ORCL is building out capacity for them, which presents a massive risk.
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Coreweave因高债务和OpenAI依赖被评F级，NBIS更优。
如果你花30秒读一下帖子，就会发现我并没有给 $BITF 评级。 关于 $CRWV，短期有上涨空间，因为抛售至60美元区间确实过度了。但中长期的债务利息负担过重。 相比之下，$NBIS 和 $IREN 通过可转换债券融资或低利息，每季度对利润率的侵蚀很小；而 Coreweave 每年支付的债务利息超过12亿美元。 此外，OpenAI 占其总积压订单的三分之一。虽然他们拥有一些有防御性的大型超大规模客户（$META, $MSFT）以及 $NVDA 的背书，但像 $ORCL 那样为 OpenAI 建设基础设施，鉴于其缺乏收入以及 Gemini ($GOOGL) 的竞争，存在相当大的风险。 因此，尽管 Coreweave 是备受好评的全栈式服务供应商，但由于荒谬的债务利息侵蚀利润率，加上积压订单高度集中于 OpenAI（合同不确定性），其评级为 F 级，而这并不影响像 $NBIS 这样多元化的全栈式服务供应商。
英文原文
If you spent just 30 seconds reading the post, you would see I didn't rate $BITF. With $CRWV there's short term upside because sell-off was way too much to the $60s. But medium-long term they have way too much debt interest. While $NBIS and $IREN funds through convertibles or little interest cutting into margins every quarter, Coreweave pays over $1.2B+ in annual debt expense interest. OpenAI also makes up 1/3th of their total backlog, so while they have some defensible hyperscalers ( $META, $MSFT) + $NVDA backstop, building out for OpenAI like $ORCL, presents considerable risk given their lack of revenue + Gemini $GOOGL competition. So they are F tier despite being a highly rated full-stack offering due to absurd debt interest cutting into margins + large concentration of backlog from OpenAI (contract uncertainty) that don't affect diversified full-stack offerings like $NBIS.
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因执行风险及融资压力降级$IREN，维持$NBIS跑赢大盘评级。
我的措辞非常严谨。你在阅读关于“引导性签约容量”的讨论时，跳过了“预期”一词。 因此，我再次重申上述观点，但提供更详细的解释： $IREN 最初的护城河是吉瓦(GW)级容量+垂直整合。$NBIS 的护城河是全栈(Full-stack)。 然而，Nebius 在长期吉瓦级容量上实现了与原本被认为是 $IREN 最大护城河的平价。 以下是有帮助的解释： - 短期：$IREN 0.66 GW 已连接 vs. $NBIS 22 GW 已连接。目前，$IREN 拥有更多前置容量。 - 中期：$NBIS 和 $IREN 之间的已连接电力差距正在缩小，$IREN 2026年为 1 GW，Nebius 为 1.4 GW。 - 长期：$IREN 规划 3 GW 电力扩张，$NBIS 规划 2.5 GW 签约电力扩张，Nebius 在已连接电力方面实现长期平价。 Nebius 管理层还将容量预期提高了 150%，并且有很大可能再次增加，以超越其他新云(Neocloud)公司。 此外，$IREN 最终转向全栈 IAAS 而非风险较低的托管(Colo)($CIFR, $WULF)，以追求更高的收入和利润率潜力，正如他们的 ER 所述。 但考虑到 $CRWV + $ORCL 在软件/编排方面的建设难度，与拥有现成且即插即用现有堆栈的 $NBIS 相比，$IREN 的新转型执行风险极高。 如果 $IREN 能做好这一点，其上行潜力巨大，但由于执行风险以及为 AI 云转型的容量变现所需融资面临的信贷收紧，我已将其降级。 如上所述，Nebius 拥有更大且多元化的客户群，这增强了收入可见性和防御性，因此我维持对 $NBIS 的跑赢大盘评级，因其具有非对称上行潜力。
英文原文
I'm very precise with my wording. You skipped over "expected" while reading discussions about guided contracted capacity. So reiterating what I've said above but with a longer explanation: $IREN's original moat was GW capacity + vertical integration. $NBIS's moat was full-stack. However, Nebius achieved long-term parity with GW capacity that was originally thought to be $IREN's biggest moat. Here's a helpful explanation: - Near term $IREN .66 GW connected vs. 22 GW connected with $NBIS. Today, $IREN has more frontloaded capacity. - Mid-term, The connected power argument is closing between $NBIS and $IREN with 1 GW 2026 for IREN and 1.4 GW for Nebius. - Long term, $IREN projects 3 GW power expansion, $NBIS projects 2.5 GW contracted power expansion with Nebius achieving longer term parity with connected power. Nebius management also raised capacity expectations by 150%, and there's a large chance it increases again to exceed other Neocloud companies. On top of that $IREN ended up pivoting to full-stack IAAS instead of lower-risk colo ( $CIFR, $WULF ) for higher revenue potential due to "higher revenue and margin potential" as per their ER. But looking at $CRWV + $ORCL buildout difficulty with software/orchestration, this immensely raises execution risk for a new pivot with $IREN compared to $NBIS, which has it down + plug and play with existing stack. $IREN has high upside potential if they get this right, but due to execution risk and credit tightening required for future financing for capacity monetization for their AI cloud pivot, I've downgraded it. Nebius also has a much larger diversified client base as mentioned above for both revenue visibility + defensibility, which is why I maintain outperform on $NBIS due to asymmetrical upside.
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深度解析9只个股基本面与目标价，指导散户建立独立估值模型。
基于权益排名表： 以下是对每只股票的深入分析，以及我如何重新调整投资组合以利用市场重置： · $NBIS 现价 $92，目标价 $400 / 1年 · $RKLB 现价 $43，目标价 $500 / 5年 · $CRCL 现价 $72，目标价 $150 / 8个月 · $ALAB 现价 $143.4，目标价 $250 / 6个月 · $SNAP 现价 $8.1，目标价 $22 / 1年 · $CIFR 现价 $14.8，目标价 $28 / 6个月 · $RDDT 现价 $185，目标价 $275 / 8个月 · $SMCI 现价 $34，目标价 $55 / 6个月 · $HIMS 现价 $35，目标价 $60 / 6个月 此顺序基于发布时的持仓集中度权重，以及基于现有信息对中型市值（$50亿+）板块的内部目标价推测。 以下是每只股票及目标价时间框架的深入拆解，以及“定性”理由： 1. Nebius ($NBIS)：市值 $230亿。极度低估且与基本面脱节。 $70-90亿远期年度经常性收入(ARR)，20-30%息税摊销前利润(EBIT)，来自 Shopify、埃森哲、Cursor、外国政府的企业合同，以及来自 Meta 和微软的超大规模客户合同，为 Nebius 提供了收入可见性。拥有 $48亿+现金，使其免受影响数据中心的信贷紧缩影响。预计 2026 年签约容量达 2.5 GW，可与许多其他公司（如 $IREN 的 2.8 GW）媲美，并击败许多关于容量/电力的论点。由于其许多投资组合公司支持 Tesla 和 Anthropic 等公司，它也具有更高的增长潜力（想想 $MSFT 及其投资组合公司带来的长期防御性）。 此外，随着 $NVDA 第四季度业绩爆发，Jensen 澄清了反对 GPU 折旧的论点，这有助于提升数据中心板块情绪。 1年目标价 $400，基于远期收入/利润率估值达 $1000亿+。 2. Rocketlab ($RKLB)：市值 $220亿。短期高估，长期潜力低估。 Rocketlab 是我与比特币并列的最高确信度5年长线标的。在太空领域，并非赢家通吃，我维持 $3500-5000亿长期目标价以匹配 SpaceX 的最新估值/能力。 目前它被高估。但从纯技术角度看，构建可重复使用火箭构成了惊人且具防御性的护城河，我们正处于其端到端太空产品大规模商业化（可能在 ~2028 年）的早期阶段。 然而，市场正在计入 Flatlite 商业化（如 Starlink）和中程有效载荷（SpaceX Falcon 9）的远期增长。市场也计入远期增长，但对于 Rocketlab 而言，关键在于未来有多远。这始终是一个坚实的买入机会，取决于你对公司执行的耐心程度。 3. Circle ($CRCL) - 市值 $160亿，低估。 对于 Circle，自其市值 $500亿以来我就看空，建议做空 Circle，做多 Coinbase，因为 $COIN 与 Circle 有 50% 的收入分成。 此前因流通股本数字和财报后/12月2日巨大的内部人锁定期导致抛售（类似 $BULL）而被高估。流通股本动态很重要，像 Cathie Wood 这样的 ETF 经理似乎不理解（因此我的警告）。 但现在我们达到了合理的估值水平。我预计 USDC 商业化将继续，鉴于数字资产市场的监管重点，我看到 $CRCL 将接管 Tether 的大部分市值。 话虽如此，一旦我们看到内部人股份重新分配给机构和长期持有者，计入稳定币交易量增长，它完全值得 $300亿+的市值定价。 4. Astera Labs ($ALAB) - 市值 $220亿，估值合理 ALAB 是我中期高确信度选股之一，因为 Mag7 采用其连接技术用于数据中心建设。 增长极高，利润率类似 $NVDA，约为 ~74%，最新估算：$2.3亿/季度（同比增长 101%）。我的论点是，如果 Mag7 依赖某家公司（$NVDA 用于 GPU，NBIS、IREN、CIFR 用于 DC AI 云建设），该公司将连续几个季度大幅超出预期，我们正看到这一点。 尽管全面超出业绩预期，Astera 最近从 $250 抛售回 $140 区间，这提供了一个良好的买入机会。 我维持中期目标价 $250，以在 NVDA 业绩后及 Anthropic $400亿 DC 到 $GOOGL 在德克萨斯州 $500亿 DC + 连接需求创纪录的数据中心建设后恢复。 5. Snapchat ($SNAP) 市值 $130亿，低估。 $SNAP 是我最不喜欢的股票和 CEO 之一（抱歉 Evan）。 然而，我无法反驳基本面的变化。我最近论点帖子的 TLDR 是，他们正在削减来自存储 10 年前记忆/视频的巨大运营支出膨胀，如果你查看他们的 GCP 托管费用，这会侵蚀利润率。 现在他们既减少了该 OPex 成本，又从中增加了收入。我们还有与 Perplexity 的 AI 交易，增加了 $4亿+的额外收入流，如 RDDT。 然而，短期内由于相对于 AI 公司的表现不佳，它正遭受税务收割。在 2026 年 Q1，我预计市场将开始大幅计入新的基本面，该公司将大幅超出预期。 话虽如此，随着市场计入新动态，我预计从此处 1 年内有超过 200%+ 的上涨空间。 5. CIFR ($CIFR) - 市值 $50亿，低估 $CIFR 是 Neocloud 板块中我最喜欢的第二只股票。据记忆，其资产负债表上持有大量比特币，并受到 BTC 价格从 $120k 跌至 $90k 的实质性影响。 然而，我预计随着级联保证金清算结束且机构以低价买入比特币，加密资产价格将在几个月内恢复。 Nebius 位居榜首，因为它拥有完整的 AI-云价值链，具有更高的收入潜力和更强的回报，尽管这迫使他们处理编排、软件和 GPU 生命周期风险，而不是坚持托管。 然而，$CIFR 避免了整个风险面，并拥有 AMZN 和 GOOGL 的支持作为长期收入锚点。它也免受 GPU 采购、管理和折旧的影响。 对于 CIFR 的经济模型，我们获得了一个基于超大规模客户空间、电力和冷却的高利润率、年金结构。经风险调整后，它是该组中最安全的名称之一。但权衡是上涨空间受限。像 10 年、15 年这样的长期租赁减缓了收入爬坡，并相对于从 $1.45亿季度收入到一年内 $21亿的全栈 Neocloud 运营商（如 NBIS）削弱了回报。 话虽如此，一旦市场计入 $AMZN、$GOOGL Fluidstack 收入且比特币价格恢复，我维持 1 个月后的 $28 目标价。 6. Reddit ($RDDT) - 估值适中 来自 WSB 子版块 Wendy's 垃圾桶的我，自然对这个平台有偏见。 然而，Reddit 最初从 $270 的抛售是由于对 ChatGPT 引用的担忧，这是不重要的。现在，最新数据显示引用回来了，但 Reddit 的价格仍停留在 $185（远低于该数字）+ 部分由于宏观因素。 Reddit 是最不臃肿、高利润的社交媒体公司之一。由于年轻和年长受众的网络效应的长期防御性（与 Snap 9亿+ MAU 主要为年轻一代相比），它将长存。 我预计 RDDT 将通过收购（如 $HOOD 交易所）扩大货币化途径，得益于其巨大的自由现金流(FCF)和盈利能力，或者像 Facebook 最初收购 WhatsApp、Instagram、构建 Messenger 一样。这是一只低风险、高增长的股票，因此我维持 8 个月后的 $275 目标价。 7. SMCI ($SMCI) - 低估，市值 $200亿。 $200亿市值是个笑话。无话可说。他们正在实现 $50亿季度收入（当然利润率较低）。然而，市场正在计入公司收入下降。 SMCI 将大部分积压订单推迟到 2026 年 Q2，这与 Neoclouds 到 Mag7 客户的许多数据中心建设相一致。 他们预计明年收入同比增长 50%+，至少 $360亿收入，但鉴于 NVDA 业绩爆发带来的数据中心建设，我预计服务器机架公司如 $DELL 和 SMCI 将在 2026 年 Q2 表现优异。 这就是为什么我利用当前季度的收入滞后延迟，并分配 6 个月后的 $55 目标价。 8. Hims and Her Health ($HIMS) - 低估（市值 $80亿） 个人而言，我仅将 HIMS 用于短期交易突破。我一直不长期持有高于 $50 的股票。 然而，回到 $35，它重置了今年大部分的增长，但收入同比增长 49% 至 $5亿，并产生大量自由现金流。 最被低估的叙事是 Zava 收购。这为 HIMS 平台增加了 130万+用户，并使公司能够扩展到欧盟市场。 类似于 META 收购 Instagram 等公司，扩大基础+货币化，我预计 HIMS 将对 Zava 做同样的事情 + 市场正在计入当前的 Zava 估算数字。 这可能是我信心最低的股票，尤其是 CEO 在离开后出售股份，在 $70 时的 SS 帖子让我味道不好 👀。 但话虽如此，这是一个在 6 个月时间内反弹至 $60 的好机会。 希望你喜欢我的观点。有很多关于价格的帖子，但我试图留下更定性的拆解（+ 部分定量，但省略很多技术内容以便阅读），以帮助散户建立自己的确信度和理解。 建立理解对于创建你自己的内部估值模型很重要，而不是盲目跟随 FinX 发帖人 + 当股价暂时下跌时投降。 如果你留下你的投资组合+集中度，我很乐意讨论更多。
英文原文
Based on the equity ranking table: Here's a deeper analysis of each stock, alongside how I reposition my portfolio to capitalize on the market reset: · $NBIS at $92, PT $400 / 1Y · $RKLB at $43, PT $500 / 5Y · $CRCL at $72, PT $150 / 8M · $ALAB at $143.4, PT $250 / 6M · $SNAP at $8.1, PT $22 / 1Y · $CIFR at $14.8, PT $28 / 6M · $RDDT at $185, PT $275 / 8M · $SMCI at $34, PT $55 / 6M · $HIMS at $35, PT $60 / 6M This is in order of concentration weighting from when posted and internal PT speculation based on existing information for mid-cap ($5B+) sections. Here’s a deeper breakdown on each one and PT timeframe, and a “qualitative”why: 1. Nebius ( $NBIS ): $23B marketcap. Incredibly undervalued and detached from fundamentals. $7-9B forward ARR, 20-30% EBIT, enterprise contracts from Shopify, Accenture, Cursor, foreign governments and hyperscaler contracts from Meta and Microsoft give Nebius revenue visibility. With $4.8B+ in cash, it's isolated from credit tightening affecting data centers. With 2.5 GW expected capacity contracted 2026, it rivals many others eg. $IREN at 2.8 GW, and defeats many of the capacity/power arguments. With many portfolio companies powering companies like Tesla and Anthropic, it also has higher growth potential (think $MSFT with its portfolio companies for longer defensibility). We also had stellar $NVDA earnings going into Q4 with their blowout, Jensen clarifying arguments against GPU depreciation, which helps with DC sector sentiment. $400 1 year price target, $100B+ valuation given forward revenue/margins. 2. Rocketlab ( $RKLB ): $22B marketcap. Overvalued current term, undervalued long term potential. Rocketlab is my highest conviction 5Y long alongside Bitcoin. With Space, it's not winner takes all, and I've maintained $350-500B long term PT to match SpaceX’s most recent valuation/capabilities. As of now, it's overvalued. But it's an incredible + defensible moat from purely a technological standpoint building reusable rockets and we're early in terms of commercialization of their end-to-end space products at scale (likely ~2028). However, we're pricing in forward growth with Flatlite commericalization (eg. Starlink), and medium-lift payloads (SpaceX Falcon 9). The market prices in forward growth as well but it’s more about how long in the future with Rocketlab. It's always a solid buy, depending on how patient you are with company execution. 3. Circle ( $CRCL ) - $16B marketcap, undervalued. With Circle, I've been bear posting it since it was a $50B marketcap, saying short Circle, long Coinbase, given $COIN has 50% revenue sharing with Circle. It was overvalued due to float numbers and massive insider lockups 2-3 days after earnings/Dec 2nd led to a sell-off (like $BULL). Float dynamics matter a lot that ETF managers like Cathie Wood seem to not understand (hence my warnings). But now we're reaching respectable valuation numbers. I expect USDC commercialization to continue and given a regulatory focus in the digital asset market, I see $CRCL taking over a lot of Tether's marketcap. That being said, it's well deserving of a $30B+ marketcap pricing in stablecoin volume growth once we start seeing insider shares redistributed to institutions and long term holders. 4. Astera Labs ( $ALAB ) - $22B marketcap, reasonable valuation ALAB was one of my mid-term high conviction picks, due to Mag7 adoption of connectivity for datacenter buildout. Incredibly high growth and $NVDA-like margins sitting at ~74%, latest er: $230m/q (101% Y/Y growth). My thesis was that if Mag7 is dependent on a company ($NVDA for GPUs) ( NBIS, IREN, CIFR for DC AI cloud buildout), the company will blow away expections quarter after quarter, and we're seeing this. There's been a recent sell-off on Astera from $250 back to $140 marks, depsite beating earning expectations across the board and this presents a good buying opportunity. I maintain a medium term PT $250 for recovery after NVDA earnings and record-high DC buildout from Antrophic's $40B DC to $GOOGL's $50B DC in Texas + connectivity demand. 5. Snapchat ( $SNAP ) $13B marketcap, undervalued. $SNAP is one of my least favorite stocks and CEO's (sorry Evan). However, I can't argue with fundamental changes. A TLDR of my most recent thesis post was that they're cutting their massive opex bloat from memories/videos stored 10 years ago and if you look into their GCP hosting fees, it's cutting in margins. Now they're both reducing that OPex cost and increasing revenue from that. We also have AI deals with perplexity adding $400m+ additional revenue streams like RDDT. However, short term it's suffering from tax-harvesting due to underperformance this year relative to AI companies. In 2026 Q1, I expect the market to start pricing in the new fundamentals Hard. and for this company to beat expectation soundly. That being said I expect over a 200%+ upside 1Y from here with the market pricing in the new dynamics. 5. CIFR ( $CIFR ) - Undervalued at $5B marketcap $CIFR is my second favorite stock in the Neocloud sector. From memory, it holds a lot of Bitcoin on its balance sheet and is materially affected by the selloff in BTC prices from $120k to $90k. However I expect crypto asset prices to recover in a few months once cascading margin liqudations finish and instituions buy-in Bitcoin at low prices. Nebius is top because it owns the full AI-cloud value chain for higher revenue potential and stronger returns, even though it forces them to handle orchestration, software, and GPU lifecycle risk instead of sticking to colocation. However, $CIFR because it avoids that entire risk surface and has backing from AMZN and GOOGL for long term revenue anchors. It also stays insulated from GPU procurement, management, and depreciation. For CIFR's economics we get a a high-margin, annuity structure built on space, power, and cooling for hyperscalers. Risk-adjusted, it’s one of the safest names in the group. But the trade-off is capped upside Long leases like 10Y, 15Y slow the revenue ramp and mute the payoff relative to full-stack Neocloud operators like NBIS that go from $145m quarterly revenue to $2.1B in a year. That being said I maintain a $28 PT in 1 month once market prices in $AMZN, $GOOGL Fluidstack revenue and Bitcoin prices recover. 6. Reddit ( $RDDT ) - Moderate valuation Coming from the Wendy's dumpsters on WSB subreddit, I am naturally biased toward this platform. However, the initial sell-off of Reddit at $270 was due to fears over ChatGPT citations, which was immaterial. Now, recent data shows that citations are back, but Reddit's price still sits at $185 (way below that number) + partly due to macro. Reddit is one of the least bloated, highly profitable social media companies. And it's here to stay due to long term defensibility of the network effect of both younger + older audiences (compared to Snap 900m+ MAU of mostly younger generation). I expect RDDT to scale up monetization avenues through acquisitions like $HOOD (exchanges) due to their massive FCF and profitability or how Facebook originally acquired WhatsApp, Instagram, built out messenger. It's a low-risk, high growth stock, which is why I maintain a $275 PT in 8 months. 7. SMCI ( $SMCI ) - Undervalued, $20B marketcap. $20B marketcap is a joke. Nothing else to say. They're doing $5B quarterly revenue (off lower-margins for sure). However, market is pricing in the company revenue dropping. SMCI quoted majority of the backlog delay to Q2 2026, which aligns with a lot of the DC buildout from Neoclouds to Mag7 customers. They expect revenue to grow 50%+ Y/Y next year, with at least $36 billion revenue, but judging from DC buildout from blowout NVDA earnings, I expect server rack companies like $DELL and SMCI to outperform Q2 2026. This is why I'm taking advantage of revenue lag delays from the current quarter and assigning a $55 PT in 6 months time. 8. Hims and Her Health ( $HIMS) - Undervalued ( $8B marketcap) Personally, I've used HIMS just for short term trading breakouts. And I've been one to not long-term hold the stock above $50. However, back at $35, it's reset most of the year's growth but grew revenue 49% Y/Y to $500m and is producing a good amount of FCF. The most under-priced narrative is the Zava acquisition. This adds 1.3M+ users to the HIMS platform and allows the company to expand to the EU market. Similar to how META acquires companies like Instagram, grows its base + monetizes, I expect HIMS to do the same with Zava + market is pricing in current est. Zava numbers. It's probably my least confident stock out of the bunch, especially leaving me with a bad taste with the CEO selling shares after leaving 👀 on SS posts back at $70. But that being said it's a great rebound opportunity to $60 in a 6 month timeframe. Hope you enjoyed my perspective. There's a lot of x at price posts, but I try to leave a more qualitative breakdown (+ part quantitative but leave out a lot of technical for easier reading) to help retail develop their own conviction and understanding. Building understanding is important to create internal valuation models yourself rather than blindly following along FinX posters + capitulating when stock prices temporarily drop. Happy to discuss more if you drop your own portfolio + concentrations.
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IREN若做好基础设施编排具高上行，但GPU全栈执行风险剧增。
如果 $IREN 能在基础设施层面做好编排(Orchestration)，其上行空间极大；$1000亿+市值（$400股价）略显激进但有可能。垂直整合、高互联GW容量以及与 $MSFT 等超大规模云厂商的合作，使 $IREN 在 $49 时具备买入价值。然而，随着决定购买GPU，微软交易带来的执行风险已大幅上升。管理包括系统集成、软件、驱动和网络在内的完整GPU栈（$ORCL 未能做好的部分）远超传统托管(Colo)范畴。
英文原文
$IREN has extremely high upside if they get orchestration right on the infrastructure level and a $100B+ marketcap ($400) is a tad-overly ambitious but possible. Vertically integrated, high connected GW capacity, and hyperscaler deals like $MSFT make $IREN a buy at $49. However, execution risk is a much, much higher now with the Microsoft deal, now that they decided to buy GPUs. Managing the full GPU stack, including system integration, software, drivers, and networking (that $ORCL failed to do well) goes far beyond colo.
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成长股因宏观恐慌错杀，机构逢低吸纳，是最佳买入窗口。
目前市场正目睹大多数成长股下跌。 过去5天： · Cloudflare [ $NET ]: $192.99 (-15.23%) · Rocketlab [ $RKLB ]: $42.50 (-19.35%) · Iren [ $IREN ]: $46.6 (-28.74%) · Hims [ $HIMS ]: $35.15 (-15.61%) 已失去近期涨幅。为何？ 目前我们看到机械性对冲下行，混合着类似加密市场的实时级联保证金清算。 这还混合了基于宏观的投降式抛售，包括对12月降息概率的半合理担忧、政府停摆导致的数据缺失，以及多家对冲基金发布的AI看空报告。 最重要的一点是：尽管许多个股基本面正在改善。 我们看到像： $NBIS 将ARR指引从分析师预期的$4B上调至$7-9B，本周却跌去26.85%。 我们也看到 $SNAP 在发布$4B惊喜的Perplexity交易后，吹爆营收指引，却失去了财报后的所有涨幅。 此时，我们正接近12月“圣诞老人行情”前的底部，机构正在暗池/大宗交易中买入杠杆交易者的比特币清算资金，转向$NBIS等优质股票。 如果未来增长和基本面放缓，此次下跌后的持续抛售是合理的。 然而，如果许多成长股的基本面完好，这次市场重置是自4月关税抛售以来，从$KRKNF到$ALAB的成长股最佳买入机会。 正如Robinhood [ $HOOD ]数据显示，散户在$IREN等热门股上，在$45-$50底部大量卖出，但在$MSFT交易后$80顶部买入。 散户往往在顶部追高，但在下跌后底部投降。 这是伟大的重置，而非导致熊市的持续崩盘。保证金清算后及弱势筹码向长期投资者转移，将带来新高。 话说回来：你认为目前被抛售最严重的高Beta股票是哪只？
英文原文
Markets are seeing a drop in most growth stocks right now. In the past 5 days: · Cloudflare [ $NET ]: $192.99 (-15.23%) · Rocketlab [ $RKLB ]: $42.50 (-19.35%) · Iren [ $IREN ]: $46.6 (-28.74%) · Hims [ $HIMS ]: $35.15 (-15.61%) have lost their recent gains. Why? Right now, we're seeing mechanical hedging downward, mixed with live cascading margin liquidations slightly mirroring the crypto markets. This is mixed with capitulation based on macro with semi-valid concerns from December rate cut odds, lack of data from Gov shutdown, and AI short reports from several hedge funds. The most important thing to note is that: This is despite improving fundamentals in many individual stocks. We've seen companies like: $NBIS raise ARR guidance from $7-9B from projected analyst $4B marks, and sell off 26.85% this week. and we've seen $SNAP lose any gain from post earnings, after blowout revenue guidance from a $400M surprise perplexity deal. At this point, we're nearing the bottom before the December Santa Rally, with institutions buying up leverage trader Bitcoin liquidations to quality stocks like $NBIS in dark pools/block trades. If forward growth and fundamentals were slowing, continued selling after this drop would be warranted. However, if fundamentals are in tact for many growth stock, this market-wide reset is the best buying opportunity for growth stocks from $KRKNF to $ALAB since the April tariff sell-off. As seen with Robinhood [ $HOOD ] data on popular retail stocks with $IREN, retail is heavily selling the bottom at $45-$50, but bought in at the top post $MSFT deal at $80. Retail is often the ones to chase buying at the top. But capitulate at the bottom after the drop. This is the great reset, but not a continued crash leading to a bear market. Stock post-margin liquidations and weak hands moving to long-term investors leads to new highs. That being said: what high-beta stock do you think is the most sold off right now?
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澄清全栈基础设施定义，辨析IREN与NBIS等技术层级差异。
我觉得你可能把自己搞糊涂了，我只是想澄清一下术语。你在第一条评论中说 $ORCL 不是全栈(full stack)，因为他们做了数据中心租赁(DC leasing)，而 $IREN 是全栈。 现在你从 $ORCL 转移话题，开始谈论 $IREN。 我们只是在争论“全栈”服务提供的语义定义。如果你想论证 $IREN 不是全栈，而是做垂直整合的基础设施，那部分也是成立的。 我提到的 $IREN + 软件编排，是指调度、监控分配、故障恢复、集群配置(cluster prov)、容器运行时(container runtime)等，这些是为 $MSFT 提供算力所需的 GPU 编排。 集群编排 + 配置层 + 购买 GPU 而不仅仅是托管机房(colo)，我认为这就是你提到的全栈基础设施。 如果你想再深入一步，$NBIS $CRWV 做的是模型 API、推理运行时（平台/运行时层），比如 $NBIS 的代币工厂(token factory)，这是更深层次的全栈服务，所以 $IREN 确实不算全栈。 这只是在争论全栈之上叠加更多软件的语义问题。如果你接受这个论点，那么对于 $IREN 来说确实如此，且因公司而异。
英文原文
I think you might be confusing yourself and I'm just trying to clarify the terms. You were saying $ORCL is not full stack because they did DC leasing and $IREN is full stack in your first comment. Now you're shifting from $ORCL and talking about $IREN. And we're just going into semantic definition on full-stack offerings and if you wanted to argue $IREN is not full stack but does vertically integrated infrastructure, then that's partially valid too. With $IREN + software orchestration I was referring to scheduling, monitoring allocation, fault recoveriy, cluster prov, container rutime, etc for GPU orchestation needed to deliver compute to $MSFT. Cluster orchestration +provisioning layer + buying GPUs rather than just colo I'd argue is full-stack infrastructure as you mentioned. If you wanted to go one-step deeper that $NBIS $CRWV does it's model APis, inference runetimes, (platform/runtime layer) like $NBIS token factory which is a deeper full-stack offering, so $IREN is not full-stack sure. This is just arguing semantics of more software on top of full-stack and if you go with that argument, sure with $IREN and it differs company-to-company.
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澄清AI算力租赁中软件编排对利润率及自由现金流的关键作用。
将全栈定义为GPU之上的软件层是正确的，因此$ORCL符合这一标准。你之前混淆了垂直整合和全栈服务，这是两个截然不同的概念。 这是一个非常细微的差别，在讨论$NBIS和$CRWV时，你混淆了“纯GPU租赁”与包含编排能力的收入/利润率。 让我再次澄清： 对于$NBIS和$CRWV，人们说其收入来自纯GPU租赁是一种过度简化。以$NBIS为例，它包含一个优化GPU利用率和整体效率的管理软件栈，这就是为什么他们相比$IREN在与$MSFT的交易中获得了更好的价格/兆瓦(MW)优势。这不仅仅是任何人都能做的纯GPU租赁。 再次强调，$CRWV表示软件是其护城河，正是软件将$NBIS和$CRWV的利润率与$ORCL等市场其余部分区分开来（后者毛利率极低，例如14%）。 你可以通过购买GPU并出租来获得极高的营收数字，但如果不能转化为自由现金流(FCF)和利润，那就毫无意义。而这正是通过增加内部运营支出(opex)进行软件编排发挥作用的地方。
英文原文
That's a correct with full-stack as software as a layer on top of GPUs, so $ORCL would fit that mark. Earlier you were conflating vertically integrated and full-stack offering, which are two distinct terms. This is a very nuanced, with $NBIS, $CRWV you're confusing you're confusing "straight GPU leases" and revenue/margins + orchestration. Let me clarify again: For $NBIS, $CRWV, it's a oversimplification when people say it comes from straight GPU leases. When you use $NBIS for example, it includes a managed sfotware stack that optimizes GPU utilization and overall efficiency, which is why they got a better deal/MW compared to $IREN with $MSFT. It's not just straight GPU leases that anyone can do. Again $CRWV said software was their moat, it's what differentiates margins between $NBIS | $CRWV, and the rest of the market like $ORCL (which had incredibly low gross margins, eg. 14%). You can have the extremely high revenue numbers just by buying GPUs and leasing them out, but if it doesn't convert to FCF, profit, it doesn't mean anything. And that's where increasing internal opex with software orchestration comes in.
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因全栈执行风险高且难超巨头，作者做空IREN。
我不会将全栈(Full-stack)和垂直整合(Vertically integrated)混为一谈，我在谈论 $ORCL 时措辞非常精确。 $NBIS 采用混合模式以扩大利润率。 $IREN 的主要问题在于他们正在做全栈业务，其中软件编排(Software orchestration)是一个令人难以置信且被误解的护城河，但这将执行风险放大了数个数量级。 如果你做对了，你将拥有行业内最高的利润率/收入。但 $CRWV 花了数年和数十亿美元通过收购才做对，其CEO在电话会议上表示软件是他们的护城河。 很难让市场相信，$IREN 作为一个全新转型进入高性能计算(HPC) AI 云的公司，其全栈能力会优于 $CRWV 花数年构建的能力，甚至优于市值5000多亿美元的 $ORCL 至今未能做到的程度。这就是导致我做空(DG) $IREN 的持续执行风险。 但当然，如果他们能精准做到（这很难），那么其回报潜力将极其巨大。
英文原文
I don't use full-stack and vertically integrated interchangeably, my wording is very precise when I talk about $ORCL. $NBIS does mixed to expand margins. The main issue with $IREN is that they're doing full-stack where software orchestration is an incredible and misunderstood moat and it increases execution risk by magnitudes. If you get it right you have the highest margins/revenue in the industry. But $CRWV spent years and billions in acquisitions to get it right and the CEO said on call that software was their moat. It's hard to convince the market that $IREN, which is doing a brand new pivot into HPC AI cloud, will have better full-stack that $CRWV spent years building and that $ORCL a $500B+ company failed ot do so far. This is the lingering execution risk that led me to DG $IREN. But of course if they get it spot-on (which is difficult), then it has incredibly high return potential.
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Nebius是纯新云AI基建标的，无债务与执行风险，具极高非对称上行潜力。
Nebius [ $NBIS ] 现价 $86.69，是剩余最纯粹的“新云”(Neocloud) 和 AI 基础设施非对称性机会。 这是收入最高的、未受 $CIFR | $WULF 及数据中心(Colo) 提供商影响的 Neocloud 标的，且没有以下问题： - 不像 $IREN、$ORCL 那样面临全栈执行带来的巨大不确定性。 - 不像 $CRWV、$APLD 等那样背负高额利息债务。 - 不像 $CLSK、$BITF、$WYFI、$SLNH 等那样在超大规模超大规模云服务商(Hyperscaler) 合同上存在收入不确定性。 在 AI 板块因恐惧情绪蔓延而普遍下跌后： Nebius 依然推进：明年年化经常性收入(ARR) 中值为 $80 亿，现金超 $47 亿，企业客户多元化（包括 $META、$MSFT、$ACN、$SHOP、政府机构），高增长投资组合公司，以及经过验证的高利润率全栈业务。 鉴于需求极度旺盛、执行不确定性（利润率）以及与当前困扰市场的 OpenAI 合同依赖和信贷收紧问题相隔离： 在非对称上行潜力方面，没有任何标的能接近 Nebius。 你只需等待公司的执行落地。
英文原文
Nebius [ $NBIS ] at $86.69 is the purest Neocloud and AI-infra asymmetry left. This is the highest revenue Neocloud untouched by $CIFR | $WULF and colo providers that has no: - Plaguing uncertainty that $IREN, $ORCL face from full-stack execution. - High interest debt that $CRWV, $APLD, and others face. - Revenue uncertainty at scale with Hyperscaler contracts that $CLSK, $BITF, $WYFI, $SLNH, and others lack. After the market-wide drop with the AI sector overrun by fear: Nebius is going forward with: $8B midpoint ARR next year, $4.7B+ in cash, diversification in enterprise clients from ( $META, $MSFT, $ACN, $SHOP, Governments), hyper-growth portfolio companies, and a proven full-stack high-margin business. With extreme demand, execution uncertainty (margins), and isolation from current issues plaguing the markets with OpenAI contract dependency and credit tightening: Nothing even comes close to Nebius in terms of asymmetrical upside. You are simply just waiting for company execution.
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CRWV和ORCL的债务问题不影响NBIS，但财报前抛售剧烈。
@soulbiri1 $CRWV 和 $ORCL 在地理上都与 OpenAI 存在单一依赖关系，因此它们自身的债务问题不应影响 $NBIS。不过，正如你指出的那样，在财报发布前看到相关数据和分析师预测时，抛售行情确实令人咋舌。
英文原文
@soulbiri1 Both $CRWV and $ORCL are geographically monogamous with OpenAI so their own debt problems shouldn’t affect $NBIS. But yeah sell-off was wild to watch when you point out the numbers and analyst projections before earnings.
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NBIS暴跌后机构逆势增持，基本面强劲，维持$400目标价。
Nebius ($NBIS) 上月暴跌 -33.61%，市值跌至 210 亿美元。 尽管如此，最新的 13F 文件数据显示 $NBIS 的机构持股比例上升： · 38.36% → 44.6% 🟢 (+6.24%) Fintel 的数据则更接近 ~46.3%。 Nebius 是一家市值 210 亿美元的全栈新云(Neocloud)服务商： · 远期年度经常性收入(Forward ARR) 达 70-90 亿美元（同比增长 700%+），EBIT 利润率 30%，为 $MSFT Azure、$META | 从 Cursor 到 Shopify 的企业 | 以及政府提供动力。 · 现金超 47 亿美元，投资组合公司净资产价值(NAV) 超 70 亿美元，这些公司支撑着 Cloudflare、Tiktok、Tesla、Netflix 和 Anthropic。 正如上月所料，机构开始意识到这种一代人一次的增长机遇，因为新云(Neocloud)是 AI 数据中心建设及 Mag7 AI 算力的核心。 Nebius 的机构持股比例一直较低 (<28%)，这源于其非典型的 IPO 方式。对于高价值公司，机构持股通常在 60-80% 之间。 因此，我们看到机械性抛压 + 散户投降 + 保证金清算 -> 通过暗池/大宗交易 -> 机构在低位吸筹。 这种吸筹模式并未改变，我们之前在 Robinhood (S-st) 上也见过同样的故事，其机构持股现已达 74.62%，此前股价从 $20 涨至 $150。 非理性的恐惧和投降是机构从散户手中吸筹的方式。近期的下跌是股价变化，而非基本面恶化。$NBIS 的 1 年目标价仍为 $400。 当远期增长支撑市值预测时，这只是时间和执行力的问题。
英文原文
Nebius ( $NBIS ) crashed -33.61% last month, falling to a $21B market cap. Despite this, new 13F filing data shows $NBIS institutional ownership increase: · 38.36% → 44.6% 🟢 (+6.24%) with Fintel placing it closer to ~46.3%. Nebius is a $21B MC full-stack Neocloud with: · $7-9B forward ARR (700%+ Y/Y), 30% EBIT margins, powering $MSFT Azure, $META | enterprises from Cursor to Shopify | and Governments. · $4.7B+ Cash, $7B+ NAV in portfolio companies that power Cloudflare, Tiktok, Tesla, Netflix and Antrophic. As expected from last month, institutions are starting to realize this once-a-generation growth, as Neoclouds are the center of the AI DC buildout and Mag7 AI compute. The institutional ownership of Nebius was always low <28%, due to how their unusual IPO. With high-value companies, ownership typically ranges from 60-80%. So, we're seeing mechanical flows down + retail capitulation + margin liquidation- > dark pools/block trades -> for institutions to accumulate at lower prices. This type of accumulation pattern has not changed and we've seen this same story before with Robinhood ( S-st ), now at 74.62% ownership, before their rally from $20 to $150. Irrational fear and capitulation is how institutions accumulate off shareholders. The recent drop is a change in stock price, not in fundamentals. The 1Y price target on $NBIS remains $400. When forward growth backs up any market cap projections, it’s a matter of time and execution.
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分析NBIS因财务结构具隔离性，高波动下部分抛售逻辑存疑。
是的，我在另一条推文中提到过信贷收紧以及来自 OpenAI 的传染效应，但 $NBIS 因其强劲的资产负债表和可转换票据结构，在这些方面似乎是最具隔离性的。这主要是非针对性的板块抛售，叠加主要影响 $CRWV、$ORCL 及相关公司如 $APLD 的结构性因素。但鉴于 Nebius 具有高贝塔值，其股价可能在一周内从 130 美元跌至 90 美元，但也可能在短时间内回到同一价格。如果从 GPU 折旧的看空论点来看，许多其他公司如 $CIFR 也是孤立的，因为它们只做数据中心托管(colocation)，所以很多抛售说不通。
英文原文
Yeah I made another post about credit tightening and contagion from OpenAI in one of my other posts but $NBIS seems the best isolated in those terms because of their strong balance sheet, convertible note structure. It’s mostly indiscriminate sector selloff on top of the something structural mainly affecting $CRWV, $ORCL and related co like $APLD. But given Nebius is high-beta, it can drop from $130 to $90 in 1 trading week but it can also go back to the same price in a short time. If we go from the GPU depreciation short argument many others like $CIFR are also isolated because they just do colo, so a lot of the selloffs don’t make sense.
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驳斥AI板块恐慌，指出托管商受Mag7支持，是错杀买入机会。
这是$CRWV、$ORCL的OpenAI效应。市场在恐惧时是非理性的，将整个板块视为单一实体，而忽视了细微差别： GPU折旧——Burry的做空论点（硬件快速过时）： $CIFR、$WULF等完全不受影响，因为它们不购买GPU，而是做数据中心托管(Colo)。 信用风险——收紧使得所有资本密集型的AI建设成本更高且更脆弱。 $NBIS等...是孤立的（资产负债表强劲，可转换债务）。 未来收入泡沫，OpenAI没有足够的... $IREN、$NBIS、$CIFR、$WULF完全不受影响，因为它们由Mag7支持，而非OpenAI。 对某些人来说，这是令人发笑的买入机会。
英文原文
It's the $CRWV, $ORCL OpenAI Effect. Markets are irrational during fear and views the sector as a single entity vs. seeing the nuances: GPU Deprecation - Burry Short Thesis (rapid hardware obsolescence): $CIFR, $WULF, etc. Literally not affected since they don't buy GPUs and do colo. Credit Risk - tightening makes all capital-intensive AI buildouts more expensive and fragile. $NBIS and others... isolated (Strong balance sheet, convertible debt). Future Revenue Bubble with OpenAI not having enough $IREN, $NBIS, $CIFR, $WULF literally not affected since they're backed by Mag7, not OpenAI. Hilarious buying opportunity for some.
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IREN转全栈致风险激增，NBIS/CIFR基本面稳健却被板块性做空。
谢谢，是的，我之前做分级列表时将 $IREN 列为 S 级，但他们因试图通过购买数十亿 GPU 与 $CRWV 在全栈领域竞争而被大幅降级。许多 $IREN 持有者争论称托管(Colo)最盈利，但在 $IREN 的财报电话会上，他们明确表示因“更高的收入潜力和更强的回报”而购买 GPU 并从事全栈业务。构建软件层比人们想象的要难得多，$IREN 的执行风险急剧上升。与此同时，$NBIS 和 $CRWV 已经掌握了这一环节（根据其白皮书，$NBIS 胜过 $CRWV），但 Coreweave 在利息债务和 OpenAI 风波中搞砸了。不幸的是，我们看到整个板块被做空，尽管存在许多细微差别，例如 $CIFR 不受 GPU 贬值论点的影响。或者 $NBIS 拥有超过 5 年的 Mag7 及企业客户、强劲的资产负债表，且不受 $ORCL 及信贷收紧引发的 AI 泡沫 OpenAI 风波影响。
英文原文
Thanks, yeah I had $IREN as S tier when I did my tierlist earlier but they got downgraded a lot because they ended up trying to compete vs $CRWV in the full-stack by buying billions in GPUs. A lot of IREN holders were arguing colo was most profitable, but in $IREN's earnings call, they literally said they were buying GPUs and doing the full-stack due to "higher revenue potential and stronger returns". It's much, much harder building out the software layer than people think and the execution risk for IREN skyrocketed immensely. Meanwhile $NBIS and $CRWV already has that nailed down ( $NBIS wins vs. $CRWV per their whitepaper) but Coreweave messed up with interest debt + OpenAI drama. Unfortunately we're seeing a whole sector short despite many of the nuances eg. $CIFR not being affected by GPU depreciation arguments. Or $NBIS having Mag7 + enterprise customers over 5Y periods + strong balance sheet and not affected by AI bubble OpenAI fiasco with $ORCL + credit tightening.
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新云生态分化，NBIS领先，IREN执行存疑，市场尚未完全定价。
新云(Neocloud)并非赢家通吃，而是一个完整的生态系统，但并非所有公司都能成为AWS。 我们看到$NBIS、$IREN、$CRWV和$ORCL在真正的“新云”领域竞争，这是一场最有利可图的全栈竞赛，旨在成为Azure/AWS。它们进行垂直整合、建设容量、购买GPU并进行编排，一些孵化企业也加入了竞争。 目前$NBIS是明确的赢家，拥有超大规模云厂商+企业客户+良好的资产负债表，只是时间问题；$CRWV深陷利息债务；$ORCL建设失败，且OpenAI是其最大且风险最高的积压订单。$IREN前景看好，但执行层面存在最大问号，因为其路径不同于人们预期的$CIFR模式，其容量和软件编排比人们预期的难得多（看看$ORCL和$CRWV在软件收购上花费的数十亿美元）。 然后是$CIFR、$WULF、矿工等，它们利用现有容量进行更安全的托管机房(Colo)业务，而像Amazon这样的超大规模云厂商则插入自己的GPU。我仍将其归为新云，但也许该单独分类了，不过它们不受Burry关于2年GPU淘汰论虚假言论的影响。 其余公司正在向高性能计算(HPC)转型，承诺未来X量的容量，但在信贷收紧背景下，为此转型融资越来越难。 随着近期一系列财报的发布，我们开始看到新兴赢家，这是好事。市场尚未定价，但只是时间问题。
英文原文
Neocloud isn't winner takes all, it's a whole ecosystem but not everything can become AWS. We're seeing $NBIS, $IREN, $CRWV, and $ORCL compete in the true "Neocloud", most profitable full stack race to become Azure/AWS. Doing vertical integration, building capacity, buying GPUs, and doing orchestration, and some incubants entering the race. So far $NBIS is the clear winner with hyperscalers + enterprises + good balance sheet in a matter of time, $CRWV is swamped with interest debt, $ORCL failed buildout so far and OpenAI as their biggest + risky backlog. $IREN is promising but they have the biggest question mark for execution since it's not the original approach like $CIFR people were expecting with their capacity and software orchestration is much harder than people expect (looking at $ORCL then $CRWV spending billions on software aqusitions). Then there's $CIFR, $WULF, miners, etc and others do safer colo with their existing capacity while hyperscalers like Amazon plugs in their own GPUs. I still put them as a Neocloud but I guess it's time to make a separate category, but these aren't as affected by Burry's false comments about 2Y GPU deprecation lol. And then we have the rest... undergoing the pivot to HPC, with X amount of future capacity promised and this is becoming increasingly difficult to raise money for this change from credit tightening. It's a good thing that we're starting to see emerging winners after the series of recent earnings. Market hasn't priced this in yet but it's a matter of time.
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信贷收紧利好资产负债表健康的T1新云厂商，当前抛售是买入良机。
你的分析精准捕捉到了二阶Alpha。信贷收紧削弱了弱势竞争对手融资新建产能+改善远期自由现金流/利润率的能力，从根本上制约了其增长。 这意味着资产负债表健康且无高额债务利息的T1新云厂商（如$NBIS和$CIFR）将享有更持久的利润率。这是一个巨大的长期溢价，市场目前定价错误+在此次抛售中尚未计入。 正如我们所见，Mag7的资本支出正在增加，但正流向$NBIS、$WULF等赢家。由于$CRWV和$ORCL引发的恐慌+信贷收紧，我们正目睹一场不分青红皂白的抛售，这反而是买入机会，实际上也是受冲击最小的新云厂商的竞争优势。
英文原文
Your analysis nails the second-order alpha. Credit tightening hurts the ability of weaker competitors to fund new capacity + improve forward FCF/margins, fundamentally constraining growth. This translates to more durable margins to the T 1 Neoclouds like $NBIS and $CIFR with healthy balance sheets and no high debt interest. This is a massive long term premium the market is currently mispricing + hasn't priced in yet with this sell-off. Mag7 capex as we've seen is increasing, but it's funneling into winners eg. $NBIS, $WULF, etc. We're seeing an indiscriminate sell-off due to panic from $CRWV and $ORCL + credit tightening, and this is a buying opportunity and actually a competitive advantage for the least affected Neoclouds.
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AI股因信贷收紧恐慌抛售，建议转向有Mag7合同且低债的新云龙头。
我们正目睹 AI + 数据中心(DC) 股票实时崩盘，$IREN 本周下跌 37.88%，$NBIS 本月下跌 35.27%。 恐慌源于信贷收紧、高息债务、OpenAI 传染效应、宏观因素，以及最重要的：非理性恐惧。 以下是实时发生的情况： 1. 信贷收紧 - 像 $APLD 这样的公司未能成功发行债券（认购不足），最终发行了 23.5 亿美元的高收益债务融资——彭博社 11 月 14 日报道。债券以 97 美分的价格折价出售，收益率约为 10%。 该债券交易的风险主要与 Applied Digital 对 $CRWV 的依赖有关，后者占其合同收入的大部分。随着建设阶段机构关注度增加（例如 Burry 关于 GPU 折旧的做空报告），数据中心更难筹集资金。 融资条件收紧影响了整个通过发行债务为自身建设融资的生态系统。 2. 高息债务 - 由于信贷收紧，$CRWV 为扩张而承担的劣质债务导致每年超过 10 亿美元的损失。这侵蚀了利润率和自由现金流(FCF)。 同样，$APLD 和其他以不良收益率筹集资金的公司也面临同样的未来问题，我们看到相关公司因风险管理而出售。 3. OpenAI 承诺的 1 万亿美元+ 资金没有余额支撑 - OpenAI 承诺超过 1 万亿美元的资本支出(capex)，其中 224 亿美元+ 流向 $CRWV，3000 亿美元+ 流向 $ORCL，他们正在为此建设产能。由于 OpenAI 手头没有余额并采取避险策略，市场现在对这些承诺持怀疑态度。 现在，我们看到这种建设从 Coreweave 等公司向下传染到 $CORZ 和 $APLD，这些公司在建设期间可能依赖 $CRWV 的未来收入。 4. $CRWV 是 AI 基础设施（以及部分 $ORCL）的行业领导者。当行业领导者抛售时，通常其他公司会跟随。 5. 12 月降息概率下降： 除了高息债务外，我们看到 12 月降息概率降至约 53% 的抛硬币水平。较高的利率使得像 $CRWV 这样背负利息债务的公司再融资以增强 FCF 变得困难。 _ 细微差别与重新定位： 我们看到全面抛售。然而，Mag7（$META, $GOOGL, $AMZN, $MSFT）的资本支出和合同已确认，且盈利能力极强。 有一种简单的方法可以安全重新定位，以避免未来收入增长 + 债务周期的问题。 1. 配置与 Mag7 有合同可见性的新云(Neoclouds)： - $NBIS - 190 亿美元 $MSFT 交易，30 亿美元来自 $META，广泛的企业支持 - $CIFR - 55 亿美元与 $AMZN 的 Colo 交易，30 亿美元与 $GOOGL 的交易 - $WULF - 37 亿美元+ 与 $GOOGL 的交易等。 - $IREN - 90 亿美元与 $MSFT 的交易 我们可能会看到更多像 $SLNH, $CLSK 等投机性容量公司下跌，并整合到具有可见企业合同（未来收入下行风险低）的新云中。 2. 配置无/极低息债务且资产负债表强劲的新云： 像 $NBIS 这样的公司因拥有 47.9 亿美元的可转换票据现金及现金等价物，而与当前信贷市场波动隔离。或者像 $CIFR 这样拥有 12 亿美元现金的公司。 3. 避免与 OpenAI 有直接合同而非 Mag7 的公司。 _ 新云是 Mag7 AI 算力的骨干。这一论点没有改变，我们可能会看到一些规模达到 1000 亿美元+ 的公司成为下一个 AWS。 然而，我们看到由 $CRWV, $ORCL 和 OpenAI + 信贷收紧（部分由于 Burry 关于 GPU 折旧的错误机构做空报告）引起的广泛、不分青红皂白的抛售。 对于像 $NBIS 这样拥有 70-90 亿美元远期年度经常性收入(ARR) 和极强资产负债表的公司，这种抛售完全不合理。但对于其他投机性公司，这是一次必要的修正。 一句好话是“散户最后卖出，最后买回”。 如果你认为你可以卖出并在两周后回来，错过抛售后的一个或两个巨大反弹日可能会让你失去大部分恢复收益。 机构可能正在通过暗池/大宗交易购买更好的名字，例如 $NBIS，在这些清洗和保证金清算之后。我们还看到机构所有权从 38%-> 43-46%，尽管股价下跌。 利用这次机会购买好名字，并持有度过这些波动时期。 （该推文引用了 @aleabitoreddit 的推文，引用内容仅供理解语境）: 13F 新云申报的机构流向评估： · Nebius ( $NBIS ): 🟢 强烈正面 (7/10) · WULF ( $WULF ): 🟢 高度正面 (8.5/10) · IREN ( $IREN ): 🔴 非常负面 (3/10) · CIFR ( $CIFR ): 🟢 高度正面 (8.0/10) · Coreweave ( $CRWV ): 🟡 中性 (5.5/10) · Cleanspark ( $CLSK ): 🟢 高度正面 (9.0/10) _ TLDR 摘要更新： $NBIS · 机构所有权整体定量增长强劲，由坚实的长期机构买家以及量化基金和对冲基金的高活跃度驱动。 $WULF · 机构基础结构稳定且安全，以 Vanguard 和 BlackRock 等大型纯多头资产管理人为特征，他们对股票持有高信念。 $IREN · 所有权由高频交易员、做市商和量化基金（例如 Jane Street, Citadel）主导。这种结构被视为负面，因为它表明缺乏稳定的短期持有压力和长期机构缺乏信念。 $CIFR · 优秀的机构设置，以纳入主要指数（被动需求）和主动基金的强烈信念购买为标志，Alyeska 的大幅增持尤为突出。 $CRWV · 高交易量表明市场兴趣浓厚，但所有权目前高度集中，做市商存在显著，导致中性评分，暗示流向的风险/回报平衡。 $CLSK · 被认为是该组中最好的机构结构，结合了广泛支持的被动指数纳入和激进的、高信念的主动积累，表明定性风险最低。 _ 评论： 例如，“看多 - Jane Street + Citadel 拥有 x 的 $IREN ”（提示：这不是正面的）。尤其是当长期持有者如 FMR (Fidelity)：212 万股，大幅削减持仓时。 基金类型很重要，例如： 被动（最正面） Vanguard, BlackRock 指数, State Street, Geode 等 多头（正面） Fidelity, T. Rowe, Wellington, BIT 等 对冲基金（中性到正面） Alyeska, Coatue, Millennium 等 量化/做市商（负面） Jane Street, Citadel, Susquehanna, SIG, Two Sigma 等 这是一个主观框架，用于仅从本季度评分流向有多正面（而非整体所有权）。
英文原文
We're seeing a live crash in AI + DC stocks right now with $IREN down 37.88% this week to $NBIS down 35.27% this month. Panic stems from Credit Tightening, High Interest Debt, OpenAI contagion, Macro, and most importantly: Irrational Fear. Here's what happening real time: 1. Credit Tightening - Companies like $APLD failed to sell bonds (under subscribed) and ended up issuing $2.35B in high yield debt offerings - Bloomberg Nov 14th. The bonds were sold at 97 cents on the dollar, a significant discount, with a yield of approximately 10%. The bond deal's risk is primarily tied to Applied Digital's reliance on $CRWV, which accounts for a substantial portion of its contracted earnings. More institutional cation (eg. Burry short report on GPU depreciation) around the buildout makes it harder for DC's to raise funds. Tightening funding conditions affect the entire ecosystem that issue debt to fund their own buildout. 2. High Interest Debt - Due to credit tightening, bad debt, which $CRWV has to fund expansion, causes $1B+ in losses a year. This cuts into margins and FCF. Likewise, $APLD and others that raise funds with bad yields face the same future issues and we're seeing a selloff in related companies for risk-management. 3. $1T+ in OpenAI promised funding without balances - Over $1 trillion+ in capex was promised by OpenAI going to $22.4B+ $CRWV and $300B+ to $ORCL, which they are building capacity for. The market is now skeptical of these promises from OpenAI due to not having the balances on hand and taking a risk-off approach. And now we're seeing contagion on that buildout from companies like Coreweave spread down to $CORZ and $APLD during this buildout that might rely on $CRWV for future revenue. 4. $CRWV is a sector leaders of AI infrastructure (and partially $ORCL). When the sector leader sell-off, usually others follow suit. 5. Rate Cut odds in December Fall: On top of the high interest debt, we're seeing rate cut odds in December drop to a coinflip ~53%. Having higher interest rates make it trouble for interest-debt burdened companies like $CRWV to refinance for stronger FCF. _ THE NUANCE and Repositioning: We're seeing a broad sell-off across the board. However, Capex and contracts from Mag7 ( $META, $GOOGL, $AMZN, $MSFT ) are confirmed with their extreme profitability. There's an easy way to safely reposition to avoid issues with future revenue growth + debt cycles. 1. Position into Neoclouds with contract visibility with Mag7: - $NBIS - $19B $MSFT deal, $3B from $META, broad enterprise support - $CIFR - $5.5B Colo deal with $AMZN, $3B deal with $GOOGL - $WULF - $3.7B+ deals with $GOOGL and more. - $IREN - $9B deal with $MSFT We will likely see more capacity speculative companies like $SLNH, $CLSK, and others fall off and consolidation into Neoclouds with visible enterprise contract (low downside risk of future revenue). 2. Position into Neoclouds with no/extremely low interest debt and high balance sheets: Companies like $NBIS are isolated from current credit market volatility as they have $4.79 billion in cash and cash equivalents from convertible notes. Or companies like $CIFR with $1.2B in cash. 3. Avoid companies with direct contracts with OpenAI that's not Mag7. _ Neoclouds are the backbone of Mag7 AI compute. This thesis has not changed and we'll likely see some scale to $100B+ companies in the future as the next AWS. However, we're seeing a widespread, indiscriminate sell-off caused by $CRWV, $ORCL, and OpenAI + credit tightening (partially due to incorrect institutional short reports from Burry on GPU depreciation). These types of sell-offs are completely not warranted for companies like $NBIS with $7-9B forward ARR and extremely strong balance sheets. But for other speculative companies, it's a well-needed correction. A good quote is “retail is last to sell, last to buy back”. If you think you can sell and come back two weeks later, missing one or two huge rebound days after a selloff can cost you most of the recovery gains. Institutions are probably buying the better names right now eg. $NBIS through dark pools/block trades now after these types of washouts and margin liquidations. We've also seen institutional ownership go from 38%-> 43-46% despite share prices dropping. Use this as a buying opportunity for good names, and hold through these periods of volatility.
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基于已确认交易对Neoclouds个股排名，建议规避高债低利标的。
在获得更多财报和交易背景后，我可能会这样对“新云”（Neoclouds）进行排名。 仅基于容量建设（Capacity Buildout）的已确认交易： 1. $NBIS - $MSFT | $META | 多家 2. $CIFR - $AWS | $GOOGL 3. $WULF - $GOOGL 4. $APLD - $CRWV + 超大规模云服务商（Hyperscaler） 5. $CORZ - $CRWV 我不会碰 $CRWV，因为其利息债务问题；也不碰 $ORCL，因为受 OpenAI 的传染效应以及目前建设利润率较低的影响。 我认为仅基于市场状况，目前选择已确认的高利润率+合同公司，比押注投机性的容量/高性能计算（HPC）建设转型论点更安全。
英文原文
I'd probably rank Neoclouds like this after we got more context from earnings + deals. Just based on confirmed deals from capacity buildout: 1. $NBIS - $MSFT | $META | Many 2. $CIFR - $AWS | $GOOGL 3. $WULF - $GOOGL 4. $APLD - $CRWV + Hyperscaler 5. $CORZ - $CRWV I wouldn't touch $CRWV due to interest debt or $ORCL due to contagion from OpenAI and low margins on buildout so far. I think just based on market conditions, it's safer to go with confirmed higher margin + contracts companies over speculative capacity/HPC buildout pivot arguments right now.
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反驳 Burry 观点，指出旧款 GPU/TPU 仍高利用率且具残值。
关于 $ORCL、$NBIS 及其他新云厂商 GPU 折旧论点的简要总结： Burry 的一般主张：处于 2-3 年产品周期的芯片资本支出（Capex）不应导致有用寿命的延长。 这一观点错误但具有细微差别： -> 以 $GOOGL 为例，其 7 年前的张量处理单元(TPU) 仍以 100% 利用率运行。 “谷歌称 TPU 需求超过供应，声称 8 年前的硬件迭代‘利用率达 100%’”——数据中心动态 -> 以 $NVDA 为例，A100（PCIe 和 SXM4 变体）仍在运行。它们于 2020 年发布，现在是 2025 年。旧型号保持价值并仍能带来收益。 它们具有残值，5 年后仍能高价转售。他在货架寿命上错了，但在某些超大规模云服务商如何拉伸利用率概念以证明激进资本支出合理性方面，他可能是对的。
英文原文
Just a TLDR on the GPU depreciation argument for $ORCL, $NBIS and other neoclouds, Burry's general claim: capex of chips on a 2-3 yr product cycle should not result in the extension of useful lives. This is incorrect but nuanced: -> in $GOOGL's case, their TPUs from 7 years ago are still run at 100% utilization. " Google says TPU demand is outstripping supply, claims 8yr old hardware iterations have “100% utilization” -Data Center Dynamics -> in $NVDA's case A100 (PCIe and SXM4 variants), are still in operation. They were launched in 2020. It's 2025 now. Older models keep their value and still deliver equity. They have residual value and still re-sale for a lot 5 years later. He's wrong on shelf-life, but might be correct in how some hyperscalers stretch the idea of utilization to justify aggressive capex.
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新云财报解读及反驳伯里GPU贬值论，强调新云逻辑强劲。
今日新云(Neocloud)财报 + 为何迈克尔·伯里(Michael Burry)错了： $WULF - 财报超预期(ER)表现积极，来自520兆瓦(HPC)算力的高性能计算(HPC)容量总合同价值(TCV)达170亿美元。 在德州成立240兆瓦合资企业(JV)用于数据中心(DC)扩张 + 50亿美元融资。 不像$CIFR与AWS的财报超预期那样特别，只是确认（如交易融资）和站点开发。 $CRWV - 因第四季度远期收入较低，财报超预期表现短期看空。 556亿美元积压订单（其中224亿美元来自OpenAI）。小幅盈利超预期13.6亿 vs 12.9亿（同比129%），EBITDA利润率（61%）。 股价因数据中心延迟下跌，这损害了2025财年（50.5-51.5亿 vs 共识52.9亿）。运营利润率下调，正如我预测的那样，因为债务融资产生的利息（~10亿+利息/年）侵蚀了利润率，而其他新云没有同样的问题。 话虽如此，这是一次性问题，鉴于市场是前瞻性的，我们可能会看到任何抛售在下个季度后被买回。 _ 至于迈克尔·伯里关于GPU贬值的争论：他完全错了，但在低估这一点上部分正确。 他的普遍主张：芯片在2-3年产品周期上的资本支出(Capex)不应导致使用寿命的延长 -> 在谷歌的案例中，他们7年前的TPU正以100%的利用率运行。重复一遍，是7年前。 Amin Vahdat表示，谷歌目前生产中有七代TPU硬件，且“七到八年前的TPU拥有100%的利用率”。 “谷歌称TPU需求超过供应，声称8年前的硬件迭代‘100%利用率’” - 数据中心动态 -> 在英伟达(Nvidia)的案例中，A100（PCIe和SXM4变体）仍在运行。它们于2020年推出。现在是2025年。旧型号保持其价值并仍然提供收益。它们不会仅仅因为是补充新模型的附加组件就被核销。 英伟达的A100可以划分为隔离实例以最大化利用率，旧一代加速器仍用于推理或低优先级任务进行货币化，而不是像他所声称的那样被核销。它们实际上具有残值，5年后仍能高价转售。 他在保质期问题上完全错了，但在某些超大规模云服务商如何拉伸利用率概念以证明激进资本支出方面可能是正确的。 这是一个微妙的论点，但新云逻辑依然完好且比以往任何时候都更强。
英文原文
Neocloud Earnings Today + Why Michael Burry is Wrong: $WULF - ER was positive, $17B TCV from 520 MW HPC capacity. 240 MW JV in Texas for DC expansion + $5B financing. Nothing special like $CIFR ER with AWS, just conf (eg. deal finances) and site dev. $CRWV - ER was bearish near term due to lower forward revenue Q4. $55.6B backlog ($22.4B from OpenAI). Slight earnings beat 1.36B vs. 1.29B (129% Y/Y), EBITDA margins (61%). Stock dropped on datacenter delay, this hurts FY 2025 (505-5.15B vs. 5.29B consensus). Operating margins was lowered, which I predicted due to debt financing with interest (~1B+ interest/year) that cuts into margins, while other Neoclouds don't have that same issue. That being said this was a one-off issue, and we'll likely see any sell-off bought back after next quarter since markets are forward looking. _ As for Michael Burry arguing on GPU deprecation: he's completely wrong, but partially right about understating it. His general claim: capex of chips on a 2-3 yr product cycle should not result in the extension of useful lives -> in Google's case, their TPUs from 7 years ago are being run at 100% utilization lol. Repeat 7 years ago. Amin Vahdat, said that Google currently has seven generations of its TPU hardware in production, and that the “seven- and eight-year-old TPUs have 100 % utilization.” "Google says TPU demand is outstripping supply, claims 8yr old hardware iterations have “100% utilization” -Data Center Dynamics -> in Nvidia's case A100 (PCIe and SXM4 variants), are still in operation. They were launched in 2020. It's 2025 now. Older models keep their value and still deliver equity. They don't just get nuked since it's an add-on to compliment newer models. Nvidia’s A100 can be partitioned into isolated instances to maximize utilization, and older-gen accelerators are still monetized for inference or lower-prio tasks rather than getting nuked as what he claims. They actually have residual value and still re-sale for a lot 5 years later. He's completely wrong here on shelf-life, but might be correct in how some hyperscalers stretch the idea of utilization to justify aggressive capex. It's a nuanced argument but Neocloud thesis remains in tact and stronger than ever.
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TI文章揭示ORCL HPC低毛利，对比NBIS高毛利，市场因Altman承诺对ORCL存疑。
部分原因在于 TI 的抹黑文章，显示 $ORCL 因其 AI 高性能计算(HPC) 部门利用率低、编排失败，毛利率仅为 14%，而 $NBIS 等目前毛利率为 71.4%（平均 50-70%）。 这充分表明 HPC 部门是护城河，甚至超大规模云厂商在基础设施建设上也失败了。 除此之外，Sam Altman 向每家超大规模云厂商承诺了高得离谱的未来收入，因此市场对 Oracle 持有一定的怀疑态度。
英文原文
Well part of it is the TI hit piece which showed $ORCL was only doing 14% gross margins for their AI HPC segments due to low utilization, orchestration failures, while $NBIS and others were currently sitting at 71.4% (50-70% avg) Just goes to show HPC segments are moats and that even hyperscaleds failed on buildouts. Apart from that, Sam Altman has been promising every single hyperscaler stupidly high forward revenue, so markets are pricing in a bit of skepticism with Oracle.
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Neocloud获微软AWS大额订单，算力需求旺盛，板块极度看涨。
Neocloud 名单已更新： $IREN - IREN 与微软达成 97 亿美元 GPU 云合同，包含 20% 预付款，将在五年内部署 NVIDIA GB300。 $CIFR - CIFR 与亚马逊云科技 (AWS) 达成 55 亿美元、15 年的租赁协议。 随着超大规模云服务商 (Hyperscalers) 的新合同涌入，Neocloud 板块变得极度看涨，这显示了对算力 (Compute) 的无限需求。 我在原始论点中预计 $ORCL、$META 和 $AMZN 会达成交易，看来 AWS 已与 $CIFR 入场，预计与其他 Neocloud 的交易也会接踵而至。$META 最近也与 $CRWV 签署了 140 亿美元的交易，从其不断扩大的 AI 资本支出 (Capex) 来看，我们可能会看到更多与 Neocloud 的交易。 这对整个板块来说都是极度看涨的。 我附上了我的个人梯队排名 (Tierlist) 供娱乐，但随着有更多时间分析交易和利润率，数据中心/矿工板块可能会迎来全面重评。
英文原文
The Neocloud List got updated: $IREN - IREN secured a $9.7B GPU cloud contract with Microsoft, including 20% upfront prepayment, to deploy NVIDIA GB300s over five years. $CIFR - CIFR secured a $5.5 billion, 15-year lease agreement with Amazon Web Services (AWS). The Neocloud sector just got insanely bullish with new contracts coming in from hyperscalers and this just shows insatiable demand for compute. I expected $ORCL, $META, and $AMZN to make deals in the original thesis and looks like AWS entered the fray with $CIFR, with likely more deals incoming with other Neoclouds. $META also signed a $14B deal with $CRWV recently and from their ER scaling AI Capex, we'll likely see other deals with Neoclouds. This is insanely bullish across the whole sector. I attached my personal tierlist for fun, but we'll likely see a re-ratings in data centers/miners across the board when there's more time to analyze deals and margins.
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对比IREN与矿企估值，指出HPC转型执行风险及高估值隐忧。
关于 $IREN，人们不断提出论点：~3 GW 产能对应 ~170 亿美元市值，理应值 X 市值。 $RIOT 也有类似产能：1GW Corsicana，700MW Rockdale，加上其他，总计 ~3GW 产能（BTC 挖矿 + 管道项目合计）。~70 亿美元市值。 $MARA 也有 1.7GW，加上 3+ GW 管道项目。~67 亿美元市值。 $IREN 确实相比其他两家转向了高性能计算(HPC)，但我们肯定已经看到 480%+ 的涨幅已将其定价。 公允的观点是，H.C. Wainwright 的分析师表示“IREN AI 云业务已达到非理性繁荣的程度”。 此前我们仅关注产能，但市场将开始对利润率(execution risk)和执行风险进行定价。 取决于你的判断：你认为 $IREN 能否像 $CRWV 花费数年数十亿美元那样执行并扩展至 HPC？或者当 $ORCL 这样 7500 亿美元的超大规模云厂商以 14% 毛利率都未能做到时，他们能否做到？ 此外，如果那么容易，Riot 和 Mara 及其他高 GW 产能矿企早就全面转向 HPC 并达到类似的市值重估了。 这是人们不喜欢谈论的下行风险。然而，上行空间在于你提到的产能/基础设施 = 更高的收入潜力。
英文原文
With $IREN people keep making the argument about ~3 GW capacity at a ~17B marketcap, deserves to be X marketcap. $RIOT has a similar capacity too: 1GW Corsicana, 700MW Rockdale, and misc with ~3GW capacity (total if you combine BTC mining + pipeline). ~7B marketcap $MARA also has 1.7GW with 3+ GW pipeline as well. ~6.7B marketcap $IREN did make the HPC pivot compared to the other two but we've definitely seen that priced in with the 480%+ runup. Fair note is that analysts from H.C. Wainright have said "IREN AI cloud business has reached a point of irrational exuberance." Before, we looked solely at capacity, but markets will start pricing in margins and execution risk. It's up to your decision whether you think $IREN can execute and scale into HPC like $CRWV spent years and billions doing. Or if they can do so when $ORCL, a 750B hyperscaler failed to do so with 14% gross margins. Also if it were that easy Riot and Mara and other high GW capacity miners would have just full-sent HPC and would reach similar marketcap re-ratings too. That's the downside risk people don't like talking about. However, upside is that capacity/infrastructure = higher revenue potential that you mentioned.
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澄清 $NBIS 全栈优势在于优化成本提升利润率，而非仅营销。
很多人对 $NBIS 的这一点存在误解： 全栈(Full-stack) 是一种护城河，因为它优化了内部运营支出(opex)并提高了利润率。这不仅仅是纯粹的外部营销手段。 我们已经看到过为什么在大规模扩张时利润率很重要，当市值 $8000 亿的巨头 $ORCL 在毛利率仅为 14% 的情况下进行建设时遇到了困难。
英文原文
A lot of people misunderstand this point with $NBIS : Full-stack is a moat because it optimizes internal opex and increases margins. It’s not just purely an outward marketing play. We’ve already seen why margins are important at scale when $ORCL a $800B giant had trouble with buildout with 14% gross.
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对比NBIS与IREN：前者低险高透，后者高险高赔。
是的，确实如此！别担心。 估值涉及产能（设备能力）以外的众多要素。以美国的 $ORCL（甲骨文）为例，他们最终失去了利润优势，因为即便在该规模下，其毛利率也仅为 14%。 利润率（Margin）至关重要。 $NBIS 像 Amazon Web Services 一样开展全栈业务，因此在 Neo-Cloud 行业中拥有最高的利润率。 另一方面，许多转向 AI 计算业务的较小公司，在规模化后的利润率尚不明确。 不过，$NBIS 在合同等方面具有最高的透明度，目前只需等待规模扩张。 对于 $IREN 而言，关键在于能否获得像 $NBIS（Nebius）那样的 $MSFT 超大规模云厂商合同，以及在规模化时能否维持高利润率，这是一场“赌注”。 正因如此，我说 Nebius “下行风险最低，明年有 300%以上的上涨空间”。 而 $IREN 风险较大，但由于估值较低，若成功则回报可能更大。
英文原文
Yes it does! No worries 評価にはキャパシティ（設備能力）以上の多くの要素が関わっています。 アメリカの $ORCL（オラクル）を例に見ると、彼らは最終的に利益を失いました。というのも、その規模でも粗利益率がわずか 14% にとどまったからです。 マージン（利益率）は非常に重要です。 $NBIS は Amazon Web Services のようにフルスタックで事業を展開しているため、ネオクラウド業界の中でも最も高い利益率を誇ります。 一方で、AI コンピュート事業へ転換した多くのマイナー企業については、スケールした際の利益率がまだ明確に見えていません。 とはいえ、$NBIS は契約面などで最も高い透明性を持っており、あとは規模拡大を待つだけという段階にあります。 $IREN の場合、$NBIS（ネビウス）が得たような $MSFT とのハイパースケーラー契約を結べるかどうか、そしてスケール時に高い利益率を維持できるかどうかという「賭け」になります。 だからこそ、私はネビウスについて「下方リスクが最も低く、来年には 300%以上の上昇余地がある」と述べました。 一方で $IREN はリスクが大きいものの、評価額がかなり低いため、成功した場合のリターンはさらに大きくなる可能性があります。
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看好全栈新云$NBIS利润率优势，减持矿工股。
市场开始定价： 像 $NBIS 这样的 AWS 式全栈新云（Neocloud）与 $CIFR、$BITF、$CLSK 等矿工之间的分化。 这就是我卖出 $IREN、$WULF 等并集中持仓 Nebius 的原因。 为什么？ 💹 利润率 > ⚡️ 产能。 就在今天： Nebius 的 CTO 表示： “市场上几乎没有真正的‘新云’。所谓的新云不过是一堆裸金属服务器，上面堆砌了大量第三方软件。” 耸人听闻？完全不是——如果你认真对待“云”这个概念，而不仅仅是堆砌硬件盒子。 Danila 解释了裸金属运营商很快就会发现 Nebius 已经在大规模层面解决的那些挑战。 这正是我指出 $NBIS 拥有最高非对称上行潜力的原因，因为矿工在规模化时可能会在利润率上挣扎。 我们还看到 Nebius 联合创始人 Roman Chernin 在《福布斯》的文章中总结，AI 经济需要一种新的、全栈的、AI 原生基础设施，而不是拼凑起来的系统： “你可以从一个供应商购买机架，将它们连接起来……但从长远来看，经济性、灵活性和速度取决于你是否控制自己的全栈。” “如果你控制全栈，你就控制产品、性能和经济效益。” _ 这并不意味着像 $WYFI、$APLD、$WULF 等其他高性能计算（HPC）公司没有增长空间，新云板块才刚刚开始上涨（尤其是当我们看到 $META 或 $AMZN 的财报时）。 然而，在投机阶段，我们已经为矿工的产能建设定价——大多数已经上涨了 50–200%+。 但谈到执行层面，那些控制全栈的人将在利润率上获胜。 我们看到 $CRWV 亲自体会到了这一点，花费数十亿美元进行软件收购，利用率仍低于 $NBIS（根据白皮书）。 我们也看到一家市值 8000 亿美元的超大规模云厂商（Oracle）未能建立其全栈，毛利率仅为 14%。 如果 Oracle 都无法完全整合其软件，CoreWeave 仍在花费数年时间尝试这样做，小型矿工如何转型？ “仅 Type-1”运营商的论点将艰难地发现规模化时的利润率压缩是什么样子的。 正如《福布斯》文章总结： “归根结底，如果你只是连接盒子或在无法控制的基础设施上构建服务，你在规模和效率的游戏里将受到限制。” $NBIS 今天就已经拥有全栈。
英文原文
Markets are starting to price in: A divergence between AWS-style full-stack Neoclouds like $NBIS and miners such as $CIFR, $BITF, $CLSK, and others. This is the reason I sold off $IREN $WULF and others, and consolidated into Nebius. Why? 💹 Margins > ⚡️Capacity. Just today: The CTO of Nebius stated: “Almost no Neocloud in the market is actually a cloud. As in a bunch of baremetal with a ton of third-party software slapped on top.” Provocative? Absolutely not — if you take the term “cloud” seriously, not just as slapping on a bunch of hardware boxes. Danila explained how baremetal operators will soon discover the challenges Nebius has already solved at scale. And that’s exactly why I stated $NBIS has the highest asymmetrical upside, since miners may struggle with margins at scale. We’ve also seen a Forbes article by Nebius Co-Founder Roman Chernin, summarize how the AI economy requires a new, full-stack, AI-native infrastructure, not the stitched-together systems: “You can buy racks from one supplier, cable them together... but in the long term, economics, flexibility and speed depend on you controlling your own stack.” “If you control the stack, you control the product, the performance, and the economics.” _ This doesn’t mean there’s no room for other HPC companies like $WYFI, $APLD, $WULF, and others to grow, and the Neocloud segment is just beginning its run-up (especially when we look at $META or $AMZN earnings). However, during the speculation phase, we’ve already priced in capacity buildout with miners - most are already up 50–200%+. But when it comes to execution, those who control the full stack will win on margins. We’ve seen $CRWV figure that out firsthand, spending billions on software acquisitions and still maintaining lower utilization than $NBIS (as per the whitepaper). We’ve also seen how an $800B hyperscaler (Oracle) failed to build out its stack, running at 14% gross margins. If Oracle couldn’t fully integrate its software, and CoreWeave is still spending years trying to do so, how will small miners pivot? Arguments from “Type-1 only” operators will find out the hard way what margin compression at scale looks like. As the Forbes article concludes: “At the end of the day, if you’re just cabling the boxes or building service on top of infrastructure you don’t control, you’re limited in the game of scale and efficiency.” $NBIS already has that full stack today.
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因软件护城河优势，Nebius具最高上行空间，仍看多矿企HPC转型。
这是关于高性能计算(HPC)而非比特币挖矿…… 再次总结一下，核心观点是：由于中间件的存在，矿企的利润率将永远低于 $NBIS。 而摆脱对 $CRWV 等中间件的依赖是一个极高的护城河（关注 $ORCL）。 如果深入看数据，软件栈的价值 > 算力容量，因为软件收入转化为利润的效率远高于高营收但低利润的模式（如 ORCL）。 这就是为什么 Nebius 拥有最高的非对称上行空间。我仍然看多所有从事 HPC 的加密货币矿企。
英文原文
This is about HPC not bitcoin mining… Just to summarize again, the point was miner margins will always be less than $NBIS because of middleware. And how the transition off of middleware like $CRWV is an incredibly high moat (looking at $ORCL). And if we go into the numbers, software stack > capacity due to how revenue translates more into profit vs. high revenue and no profit (ORCL) That’s why Nebius has highest asymmetrical upside. I’m still bullish every crypto miner HPC
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对比IREN与NBIS模式，指出矿工自建HPC堆栈难敌全栈合作优势。
$IREN 在加密货币挖矿方面拥有良好的利润率和高吉瓦(GW)容量，但这并不能直接转化为高性能计算(HPC)优势。 与此同时，他们正采取 $CIFR 和 $WULF 的路径，通过中间件编排将业务导向超大规模云服务商，但这会在长期内大幅压缩利润率。 $NBIS 直接与 $MSFT 进行全栈合作，实际上可以随着时间的推移提高其毛利率。 大家都指向 $CRWV 作为小型转型的案例，但最近我们学到的残酷现实是，如果许多矿工试图建立自己的编排和堆栈，他们很可能会失败。 $ORCL 是软件护城河的完美例子：如果一个市值 8000 亿美元的超大规模云服务商都感到困难，那么一个市值 40 亿美元的比特币矿工，或者像 $SLNH 这样市值 1 亿美元的微盘股，又该如何转型呢？ 如果他们选择直接转型，许多人在估算比特币矿工基本面时参考 $CRWV 将吉瓦(GW)转化为收入/利润的方式，但实际回报在执行过程中可能会令人失望。 Nebius 从一开始就是第一名，甚至在 GPU 利用率上超越了 $CRWV（根据其最新的白皮书），其全栈带来的长期盈利能力将在财报中胜过投机。
英文原文
$IREN has good margins for crypto mining and large GW capacity but that doesn’t translate directly into HPC. They’re going the $CIFR $WULF route in the meantime with middleware orchestration funneling to hyper scalers but that cuts into margins a lot in the long run. $NBIS is direct to $MSFT full stack and can actually increase their gross margins over time. Everyone points to $CRWV as the example to minor pivots but the harsh reality as we learned recently is that if many miners try building their own orchestration and stack, they will likely fail. $ORCL is the perfect example of the software moat where if a $800B hyperscaler has trouble how would a $4B bitcoin miner pivot, or a $100m microcap like $SLNH do it. If they go direct, a lot of people estimating bitcoin miner fundamentals use $CRWV in terms of translating GW to revenue/profit, but the actual returns will likely be underwhelming during the execution. Nebius is #1 from the very start, even beating out $CRWV (from their most recent whitepaper with gpu utilization) and long term profitability from full stack will shine when it comes to earnings vs speculation.
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估值逻辑转向利润率，$NBIS 运营优势显著且上行空间大
我想指出一个新的估值逻辑正在转变：从对电力容量的炒作转向利润率，这源于 $NBIS 最近的白皮书、$ORCL 的利润率泄露以及其他信息。人们只是假设吉瓦(GW)等于矿工(miners)的利润，但在未来的盈利能力和执行力方面，当矿工发现利润率低于预期时，我认为针对矿工的投机情绪会大幅消退。我只是想做一个核心运营层面的对比，在这方面 $NBIS 显然脱颖而出。此外，正如你提到的，他们还拥有很好的子公司+超大规模公司(hyperscaling companies)投资组合，我未将其纳入计算，但这将带来更高的上行空间。
英文原文
Just wanted to point out a new valuation thesis shifting from power capacity hype to margins due to new information from $NBIS recent whitepaper, $ORCL margin leak, and others. People just assume GW = profit with miners, but in terms of profitability and execution in the future, I'd expect the speculation to die down hard with miners when they find out margins are lower than expected. I just wanted to do the core operational side comparison, which $NBIS clearly stands out on top. On top of that, as you mentioned, they also have a great portfolio of subsidaries + hyperscaling companies too that I didn't add in that would lead to a higher upside.
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作者认为NBIS全栈软件优势带来高毛利，优于IREN等矿企，故重仓NBIS。
为了解决关于新云（Neocloud）的争论： $NBIS > $IREN 及其他。 基于 $ORCL 的报告、NBIS 白皮书、$CRWV 的收购案以及其他因素， 我决定将数百万资金整合进 Nebius，并清仓像 $CIFR 这样的矿企。 📏 毛利率 > 吉瓦（GW）产能 以下是数学逻辑及原因： 此前，由远期收入支撑的新云板块（例如 $NBIS 与 $MSFT 的 190 亿美元交易）经历了巨大的投机性上涨。 然而，由于原始 GW 产能（如 $IREN）和廉价能源，加密货币矿企近期上涨了 500%+。 然而，人们忽略的是，产能虽能带来更高的收入，但如果不可盈利（例如 $ORCL 14% 的毛利率），这些收入毫无意义。 随着更多关于 $ORCL 建设失败、$NBIS 白皮书等的信息公布，我们得知如果经济模型无法转化，电力和产能意义不大。 而 $NBIS 拥有一切优势。 1. 毛利率差距：全栈 vs 中间件 像 $IREN 和 $CIFR 这样的矿企必须依赖编排合作伙伴（Fluidstack、Poolside 等）来变现其 GPU。这意味着要放弃 20-30% 的收入（~来自深度研究的私人估算），并承担 GPU 折旧、电力和运维成本。结果是？ 在 $3-4/小时 的 GPU 定价和 ~80% 利用率下，IREN/CIFR 的毛利率 = ~44-52% 在 $5-6/小时 和 90% 利用率下，毛利率可能达到 ~55-60%，但这已是天花板。 与此同时，Nebius 通过拥有编排层并分摊 4 年成本，目前获得 70-75% 的毛利率（上一季度为 71.2%，可能为 60-70%，近期白皮书声称更高的 GPU 利用率可能使其更高）。 随着规模和利用率的提高，这一差距会复利扩大。 矿企每赚一美元都要分出一部分，而 Nebius 的毛利率随时间增加。 2. 软件是护城河，Oracle 证明了这一点 即使 $ORCL 这样市值 8000 亿美元的超大规模云服务商，也无法盈利地构建 GPU 编排，其 AI 租赁平台报告约 14% 的毛利率，并在此过程中亏损约 1 亿美元。 如果 Oracle 都无法执行，指望市值 1 亿美元的小型矿企如 $SLNH 从头构建超大规模云级别的编排系统只是痴人说梦。 像 Fluidstack 这样的平台是必要的桥梁，但代价高昂：毛利率压缩、收入流失和平台依赖。 Nebius？它已经完成了最难的部分。其内部编排软件、GPU 利用率，没有中间商赚差价。 3. 电力 vs 毛利率计算 单张 H100 功耗约 0.7-0.84 kW。即使在 $0.10/kWh 的电价下，每张 GPU 每小时的电费仅为 $0.07-0.08。当 GPU 以 $4-6/小时 出租时，这仅占收入的 1-2%。 真正影响大局的是什么？利用率： 50% -> 85% 的正常运行时间 = 每张 GPU 收入增加 70% 这是数百个基点的毛利率波动，远超与矿企相比的“廉价电力”优势。 软件利用率/编排是护城河，其重要性比廉价电力高 30-70 倍。而且 $NBIS 也不缺廉价电力 lol。 4. 矿企中的 CRWV 例外 大家都指向 $CRWV 作为矿企转型的案例，但 Coreweave 实际上花了数年时间，并进行了数十亿美元的软件收购。 即使现在，报道显示其利用率仍落后于 Nebius。如果矿企认为他们能复制 CRWV，祝他们好运。 我预计 $NBIS 在明年的财报中，当执行与投机面临检验时，将大幅跑赢。 🧩 非对称性 Nebius 毛利率：70-75%（全栈，4 年折旧） IREN/CIFR 现实毛利率：40-60%（中间件，2-3 年折旧） 毛利率差额：15-30 个百分点 执行风险：Nebius = 0（已在执行）；IREN/CIFR = 高 Nebius 不是电力博弈。它是软件毛利率博弈，带有硬件上行空间。对于 $IREN 等，你是在猜测它能否像 $CRWV 那样成功。 人们不断说“软件不是护城河，看看 $CRWV 对 $IREN 未来 HPC 毛利率的影响”，但如果 $ORCL 这样最大的超大规模云服务商之一都卡在 14% 的毛利率。那么我们怎么指望这些小加密货币矿企能搞定 Coreweave。 就非对称性更新而言，$NBIS 是明确的赢家。就原始潜在上行空间而言，如果 $IREN 能像变魔术一样搞定 $CRWV 并在此方面击败 $ORCL，那我确实会认输。 软件全栈是一个巨大的护城河，人们严重低估了它。对于 $NBIS，他们可以只是即插即用，随着时间推移扩大规模，拥有行业内最高的毛利率。 $NBIS 就是真正的非对称回报的样子。
英文原文
To settle the Neocloud debate: $NBIS > $IREN + others. Based on the $ORCL report, NBIS whitepaper, $CRWV acquisitions, and other factors, I decided to consolidate millions into Nebius and sell off miners like $CIFR. 📏 Gross Margins > GW capacity Here's the math + why: We've had a huge speculative run across the board on Neoclouds backed by forward revenue (eg. 19B $MSFT deal with $NBIS). However, crypto miners have recently gone up 500%+ due to raw GW capacity like $IREN and cheap energy. However, what people miss out on is capacity leads to much higher revenue but that revenue means nothing if it's not profitable (eg. $ORCL 14% gross margins). Now that more information has come out regarding $ORCL's buildout failure, $NBIS's whitepaper, and others, we know power and capacity mean little if the economics don’t translate. And $NBIS has everything. 1. The Margin Gap: Full Stack vs. Middleware Miners like $IREN and $CIFR must rely on orchestration partners (Fluidstack, Poolside, etc.) to monetize their GPUs. That means giving up 20–30% of revenue (~private estimates from deep research), plus absorbing GPU depreciation, power, and O&M. The result? At $3–4/hr GPU pricing and ~80% utilization, IREN/CIFR margin = ~44–52% At $5–6/hr and 90% utilization, margin could reach ~55–60%, but that’s the ceiling Meanwhile, Nebius earns 70–75% today by owning the orchestration layer and amortizing over 4 years (71.2% from previous Q, likely 60-70%, possibly higher from recent whitepaper claiming higher GPU utilizations). This gap compounds as scale and utilization rise. Miners give away a piece of every dollar they earn while Nebius INCREASES gross margins over time. 2. Software Is the Moat and Oracle Proved It Even $ORCL, an $800B hyperscaler, failed at building GPU orchestration profitably, reporting ~14% gross margins on their AI rental platform and losing ~$100M in the process. If Oracle can’t execute, expecting $100M marketcap small miners like $SLNH to build hyperscaler-grade orchestration from scratch is wishful thinking. Platforms like Fluidstack are essential bridges, but they come at a cost: margin compression, revenue leakage, and platform dependency. Nebius? It already did the hard part. Its in-house orchestration software, GPU utilization, with no middlemen taking a cut. 3. Power vs. Margin Calculations A single H100 uses ~0.7–0.84 kW. Even at $0.10/kWh, power is just $0.07–0.08 per GPU-hour. When GPUs rent at $4–6/hr, that’s 1–2% of revenue. What actually moves the needle? Utilization: 50% -> 85% uptime = +70% revenue per GPU That’s a multi-hundred bps margin swing, far outweighing any "cheap power" comparison with miners. Software utilization/orchestration is a moat and matters ~30–70 TIMES more than cheap power. And it's not like $NBIS doesn't have cheap power either lol. 4. The CRWV Exception to Miners Everyone points to $CRWV as miners pivot but Coreweave literally spent YEARS to do this, along with billions in software acquisitions. And even now, reports suggest their utilization trails Nebius. If miners think they’ll replicate CRWV, good luck. I'd expect in NBIS to strong outperform in next year's earnings reports when it comes time for execution vs. speculation. 🧩 The Asymmetry Nebius GM: 70–75% (full-stack, 4yr depreciation) IREN/CIFR realistic GM: 40–60% (middleware, 2–3yr depreciation) Gross margin delta: 15–30 points Execution risk: Nebius = 0 (already doing it); IREN/CIFR = high Nebius isn’t a power play. It’s a software margins play, with hardware upside. With $IREN and others, you're guessing if it can pull off a $CRWV. People keep saying "software it not a moat, and look at $CRWV for $IREN future HPC margins", but if $ORCL one of the largest hyperscalers is stuck at 14% gross margins. Then how do we expect these small crypto miners to pull off a Coreweave. In terms of ASYMMETRICAL UPDATE, $NBIS is the clear favorite out of anything. In terms of raw potential upside if $IREN manages to pull a $CRWV out a hat and beats out $ORCL in this, sure I'd concede. Software full stack is a HUGE moat that people vastly, vastly underestimate. With $NBIS, they can just let it plug and play scale up over time with the highest gross margins in industry. $NBIS is what true asymmetric return looks like.
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对比NBIS与转型矿企，强调软件全栈与护城河决定高毛利优势。
我在其他评论中提到 $CRWV，将其作为加密货币矿工转向高性能计算(HPC)所追求的金标准范例。 即便如此，在 $CRWV 花费数十亿美元收购软件并耗时多年构建之后，$NBIS 的 GPU 利用率依然更高。 人们对 $IREN 和其他转型中的加密货币矿工抱有过于乐观的看法，而 $ORCL 的毛利率实际上仅为 14%。$CRWV 花费数十亿美元和数年时间构建软件，人们却期望像 $SLNH 这样市值仅 1.4 亿美元的小盘股能有效转型并实现良好的毛利率。 产能带来更高的潜在收入，但如果毛利率微薄则意义不大。全栈+软件编排+客户多元化才是护城河，也是 $NBIS 在毛利率方面可能胜出的原因。 （另外我不看好 $CRWV，因为其坏账侵蚀了利润。$NBIS 的 40%+ 价外可转换票据结构才是正确路径）
英文原文
I mention $CRWV in the other comments as the gold standard example crypto miners pivoting to HPC aim for. Even then $NBIS has higher GPU utilization after CRWV spends billions on software acquisition and years to build it out. People have too much rose-tinted lens on $IREN and other crypto miners pivoting when $ORCL literally had 14% gross margins. Again CRWV spend billions and years on their software buildout and people expect some $140m micro cap like $SLNH to effectively pivot into good margins Capacity leads to higher potential revenue but it doesn’t mean much if their margins are small. Full stack + software orchestration + customer diversity is the moat and why $NBIS will likely come out on top in terms of margins. (Also didn’t like $CRWV since their bad debt eats into margins too. $NBIS convertible note structure 40%+ OTM is the way to go)
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卖出HPC挖矿股转投NBIS，因后者利润率更高。
不，直到本周我都几乎持有了所有新云(Neocloud)股票。但在周五卖出了高性能计算(HPC)挖矿概念股，因为整合了更多新信息，例如 $ORCL 的建设失败、$NBIS 两天前发布的新白皮书、$CRWV 最近的收购案，以及对利润率计算的更多洞察。 但我会把资金转入 $NBIS。 人们对 HPC 挖矿商转型过于乐观，而 $ORCL 该板块利润率仅为 14%，且大家只盯着 Coreweave 看。 算力有助于扩大营收规模，但如果无法实现像 Nebius 那样的高利润率，这就没那么重要了。
英文原文
No, I held almost every Neocloud up until this week. But ended up selling HPC miners Friday after consolidating more information that came out eg. $ORCL buildout failing, $NBIS new whitepaper 2 days ago, $CRWV recent acquisitions, more insights into margin calculations. But I'll put that into $NBIS. People are too bullish on HPC miner pivots when $ORCL had 14% for that segment and they just look at Coreweave. Capacity helps scale revenue, but it wouldn't matter as much if they can't achieve high margins that Nebius will produce
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质疑小型矿企转型算力基建能力，对比巨头与同行效率。
$ORCL 未能匹配这些算力，而它是一家市值 8000 亿美元的公司。你是在赌那些市值 30 亿至 150 亿美元的小型加密货币矿企转型后能建成这些设施。$CRWV 花了数年时间并通过数十亿美元的收购才勉强实现运营，即便如此，根据其白皮书，$NBIS 的利用率仍更高。
英文原文
$ORCL failed to match these capacities and it's a $800B company. You're betting that a lot of these small $3-$15B crypto miners pivoting can build it out. $CRWV took years and billions of dollars in acquisitions to make it sort of work and even after that, $NBIS has higher utilization as per their whitepaper.
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认为NBIS软件护城河深，非对称收益优于IREN等转型矿工。
我不同意，软件编排（Software Orchestration）可能是最大的护城河之一，这就是为什么在我看来，$NBIS 的非对称上行潜力明显优于 $IREN。但各有所好！ 我同意 $IREN 因部署的吉瓦（GW）规模略大，潜在上行空间稍高，但在利润率方面的执行风险要大得多。 关于 $IREN 未来的财报，我认为市场将痛苦地发现，Nebius 目前的编排能力和客户多样性构成了巨大的护城河。 $ORCL 作为最大的算力公司之一，据 TI 报道，其最近的建设亏损超过 1 亿美元。这主要归因于软件、GPU 编排和客户基础。内部文件显示其毛利率约为 14%（而 $NBIS 上季度为 71.2%）。 如果最大的超大规模云服务商都做不好，而人们仍指向 $CRWV 支持比特币矿工转型（尽管他们花费数十亿用于软件收购且转型耗时数年），那么你可能低估了这个巨大的护城河。 此外，软件利用率/编排的重要性比廉价电力高约 30-70 倍（我在另一条评论中算过账）。 部署的兆瓦/吉瓦规模确实给矿工带来更高的上行空间，但当 $NBIS 拥有最高非对称回报和产能时，去猜测这些比特币矿工能否转向高利润率是没有意义的，这是我的观点。
英文原文
I'd disagree, software orchestration is one of the biggest moats possible, which is why $NBIS > $IREN clear as day for me in terms of asymmetrical upside. But to each their own! I'd agree IREN has slightly higher potential upside due to scale of GW deployed but way way larger execution risk in terms of margins. When it comes to future earning reports with $IREN, I'd expect markets to find out the hard way that the orchestration and customer diversity that Nebius has currently is a massive, massive moat. $ORCL one of the largest compute companies lost $100m+ on their most recent buildout as per TI reporting. This was largely due to software + GPU orchestration + customer base. Internal documents show they had ~14% gross margins (NBIS had 71.2% last quarter). If the largest hyperscalers can't get it right, and people keep pointing to $CRWV supporting Bitcoin miner pivots (when they spent billions on software aqusitions) and years on the pivot, then it's probably is a big moat that you're underestimating. Also Software utilization/orchestration matters ~30–70x more than cheap power (did the math in another comment). Scale of MW/GW deployed leads to higher upside with miners, sure, but there's no point of speculating whether these bitcoin miners can pivot into high margins when we have $NBIS with the highest asymmetrical return and capacity, was my point.
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NBIS凭借利润率与全栈软件护城河，在Neocloud竞争中胜出。
公平地说，比特币矿工确实有很多炒作。我猜测所有的 Neocloud 都会一起上涨。 但最终能脱颖而出的是在 ER（执行率/执行能力）期间的表现。$NBIS 凭借利润率和高护城河最终位居榜首。 全栈+软件编排是一个被误解的护城河。连 $ORCL 都没能做好，他们在建设上损失了1亿美元。
英文原文
Fair, there's a lot of hype around Bitcoin miners. My guess is every Neocloud will go up together anyway. But what ends up on top is execution during ER. $NBIS ends up on top due to margins and defensibility. Full stack + software orchestration is a misunderstood moat. Even $ORCL couldn't get it right and they lost $100m on buildout.
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清仓其他Neocloud重仓$NBIS，认为其全栈优势及无债结构使其优于同行。
Neocloud持仓更新，10月24日周五。 发这条推文是为了向$IREN和其他Neocloud（新云）持有者传达一个信息： 👑 $NBIS更胜一筹。 我已清仓其他Neocloud股票：$CIFR获利250%+，$IREN、$BITF、$WYFI获利50-100%+，$WULF亏损5-10%。 目前我在$NBIS股票/LEAPS（长期期权）上的敞口超过200万美元，并持有少量$WLAC仓位。如果$NBIS股价维持在115美元，下周我会继续加仓Nebius。 我通常不发布卖出操作，但最近有很多烦人的Neocloud帖子声称他们的才是最好的。所以我发这条是为了传达$NBIS在不对称上行潜力方面明显更优，且已锁定Mag7（科技七巨头）订单。因此，分散投资其他Neocloud毫无意义。 NBIS通过全栈/GPU利用率及多元化用户，可能拥有最高的利润率护城河。其子公司+投资组合公司（AI数据库、机器人/配送等）正随其运营业务同步扩张。此外，没有侵蚀利润率的不良利息债务。 只需等待一年获得另一个超大规模云厂商合同，就有轻松获得300%收益和1000亿美元+市值的明确路径。去推测比特币挖矿转型的毛利率毫无意义（看看$ORCL仅因GPU利用率+建设->收入滞后就损失1亿美元+），即使某些公司可能有更大的容量。 所以只想说：Nebius是THE Neocloud。🫳🎙️
英文原文
Neocloud Position Update Friday Oct 24. This post is to send a message to $IREN and other Neoclouds holders that: 👑 $NBIS is superior. I sold out of other Neoclouds: $CIFR 250%+ gain, $IREN, $BITF, $WYFI, 50-100%+ gain, $WULF 5-10% loss. Now with $2M+ exposure in $NBIS shares/leaps + small $WLAC positions. Will add more Nebius positions next week if it stays at $115. I don't normally post sales, but there's a lot of annoying Neocloud posts recently claiming that theirs is the best. So I'm posting this to send a message that $NBIS is clearly superior in terms of asymmetrical upside and already has Mag7 deals locked in. And because of this, there's no point of diversifying into other Neoclouds. NBIS will likely have the highest margin moat from how they do full stack/GPU utilization with their diversified users. And their subsidiaries + portfolio companies (AI DBs, robotics/delivery, etc). are scaling alongside their operational business. There's also no exposure to bad interest debt that eats into margins. There's an easy path to 300% gain and a $100B+ marketcap just by waiting 1 year for another hyperscaler contract and there's no point in speculating gross margins from Bitcoin mining pivots (see how $ORCL lost $100M+ just bc of GPU utilization + buildout -> rev lag) even if some might have larger capacity. So just wanted to say: Nebius is THE Neocloud. 🫳🎙️
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机构借恐慌在暗池增持 $NBIS，基本面支撑其 390 亿估值。
本周散户恐慌导致 $NBIS 暴跌至 94 美元。 不幸的是，许多散户不在本社区内，仅因股价下跌（混合做市商机械对冲）便在恐惧中抛售。 过去两天，Nebius 股价反弹超 17%。 这就是为什么信念 + 基本面/知识 > 股价。 下跌期间，机构通过暗池(dark pools)等渠道悄悄入场增持。 _ 基本面上，Nebius 被严重低估。我对 $NBIS 的基础估值约为 390 亿美元，若再获一家超大规模云厂商合作，一年内有望达 1000 亿美元。 Nebius 为微软 Azure 等未来超大规模基础设施提供算力。机构深知这一点，并将不惜一切代价增持这家全球算力核心公司的股份。 如果散户不能从基本面建立信念，也不理解机构如何利用暗池、期权流向等在不扰动价格的情况下积累筹码，他们就会纯粹因恐惧而非实质性变化而投降。 正如我在今日 Seeking Alpha 文章《Nebius 回调，聪明钱的入场点》中指出： “WhaleStream 报告显示约 1 亿美元净流入集中在 103.90 美元附近，显示新的机构兴趣。 Fintel 数据（源自 Nasdaq、FINRA 和 Capital IQ）证实，场外做空比率接近 19%，强化了机构通过暗池大量买入 Nebius 的观点。 实际上，这支持了大部分 Nebius 买入是通过暗池悄悄进行的观点，这与观察到的看涨期权积累相一致。” 积累是战略性的，但隐藏在明处。不要被震仓出局。
英文原文
This week retail panic sent $NBIS tumbling to $94. Unfortunately, many retail are outside this community and sold shares in fear (mixed with MM mechanical hedging) based on stock price dropping alone. In the past two days, Nebius is back up over 17%. This is why why Conviction + Fundamentals/Knowledge > stock price. During the drop, institutions quietly stepped in and acquired more from darkpools + other methods. _ Fundamentally, Nebius was very undervalued. My base-case valuation of $NBIS sits near $39B today, with room to reach $100B within a year with another hyperscaler partnership. Nebius powers parts of Microsoft Azure and other future hyperscale infrastructure. Institutions know this, and they'll do whatever it takes to grow their ownership in a company at the core of global compute. If retail doesn't develop conviction in the stock from fundamentals and understand how institutions play the game, using dark pools, options flow, and to accumulate shares without moving prices, they'll capitulate purely off of fear instead of material changes. As noted in today’s Seeking Alpha piece "Nebius Pullback, The Smart Money Entry Point": "WhaleStream reports that approximately $100 million of net inflows were concentrated within the $103.90 area, indicating fresh institutional interest. This was confirmed by Fintel data (extracted from Nasdaq, FINRA, and Capital IQ), which records the off-exchange short-volume ratio near 19% and reinforces the thesis of significant Nebius buying through dark pools by the institutions. In practice, this supports the view that much of the Nebius buying is happening quietly through dark pools, as aligned with the observed build-up of call options." Accumulation is strategic but hidden in plain sight. Don't be shaken off.
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Nebius凭借全栈软件及运营效率，在利润率上优于纯容量型AI云厂商。
就纯上行潜力而言，$IREN 仅因纯粹的吉瓦(GW)容量而颇具前景。然而，$NBIS 在所有新云(Neocloud)中拥有最高的非对称回报(asymmetrical return)。 随着最近发布的 Nebius 白皮书，他们公布了一些关于 GPU 利用率等数据。其全栈软件(full stack software)加上涵盖初创企业和中小企业(SMBs)的多元化客户群，有助于优化其运营支出(opex)，这是人们对其如何最大化 GPU 利润率的误解性护城河(misunderstood moat)。 人们试图将矿工(miners)框架化为潜在的转型者，但如果我们看看 $ORCL 的建设情况，他们在利润率转化上挣扎（建设后的 GPU 利用率等）。拥有其他软件层会压缩利润率，$CRWV 对此深有体会，这也是他们近期花费数十亿美元进行收购的原因。 因此，原始容量并不总能转化为良好的利润率。全栈能力+运营效率+多元化中小企业客户，使 Nebius 具有明显优势。
英文原文
So in terms of raw upside, $IREN is promising just because of pure GW capacity. However, $NBIS has the highest asymmetrical return out of any Neocloud. With the recent Nebius whitepaper, they published a bit about GPU utilization, etc. Their full stack software + diversified customer base with startups, SMBs, helps their own opex, which is a misunderstood moat in terms of how they maximize margins from GPUs. People try to frame miners as potential pivots but if we look at $ORCL builtout, they were struggling with margins that didn’t translate (gpu utilization after buildout, etc). Having other software layers like compresses margins and $CRWV found that out firsthand, which is why they spent billions on acquisitions recently. So having raw capacity doesn’t always translate to good profit margins. So being full stack + operational efficiency + diversified smbs gives Nebius a clear edge.
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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。
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 $100B MC .
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解析$NBIS暴跌机制：做市商对冲加剧波动，机构借机暗池吸筹。
对于 $NBIS，散户很可能基于未平仓合约大量购买了云服务商(CSP)相关的短期看涨期权。 当做市商(MM)作为交易对手方时，会加剧任何价格波动。在此案例中，它放大了下行走势，大型对冲基金很可能在较高价位（可能配合针对 $ORCL 及整个板块的内幕负面报道）初期做空。 做市商的机械式对冲导致当 Nebius 股价在 135-140 美元区间时价格急剧下跌。 散户在看到几天红盘（下跌）后卖出股票只是自然结果。但散户卖出是愚蠢的，因为基本面将压倒任何机械对冲资金流。 我在另一篇帖子中提到，散户恐慌性抛售影响的是最后成交价。机构能够通过暗池和大宗交易在不影响公开账本的情况下进行更多积累。
英文原文
With $NBIS, retail likely did a lot of CSP + short dated calls from open interest. When MMs act as the counterpart, it exacerbates any movement. In this case, it amplified downward movement, with large hedge fund likely shorting initially at higher prices (probably timed with The Insider hit piece like with $ORCL and the whole sector short). There's mechanical hedging from MMs which causes sharply price to drop when Nebius was around $135-$140. Retail selling their shares after seeing few days of red is just a natural consequence. But it's stupid for retail to sell fundamentals will outweigh any mechanical hedging flows. I mentioned in my other post that retail panic selling affects price last traded. Institutions are able to accumulate more without affecting open books through dark pools and block trades.
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反驳外部优势论，强调全栈软件与运营效率才是NBIS高毛利护城河。
是的，我同意这种拆解。但我觉得你关注错了重点（外部竞争优势）。 他们全栈软件(software full stack)加上涵盖初创企业、中小企业(SMBs)的多元化客户群，有助于优化自身的运营支出(opex)，这本身就是护城河(moat)。 你提到了像 $IREN 这样的矿企(miners)，但如果看看 $ORCL，他们在利润率以及未能转化为实际效益的建设/转型（如建设后的GPU利用率等）方面曾举步维艰。拥有其他软件层也会降低利润率，$CRWV 就亲身经历了这一点，这也是他们近期斥资数十亿美元进行收购的原因。 因此，拥有原始算力(raw capacity)并不总能转化为良好的利润率，就像 $NBIS 已经拥有的那样（如果我没记错的话，上次财报(ER)显示其毛利率为71.2%），这是全栈+运营效率+多元化中小企业客户带来的优势，而那些转型的矿企将不具备这一点。
英文原文
Yeah I’d agree with the breakdown. But think you’re focusing on the wrong thing (external competitive advantage). Their full stack software + diversified customer base with startups, SMBs, helps their own opex, which is the moat in and of itself. You mention miners like $IREN but if we look at $ORCL they were struggling with margins and buildout/pivot that didn’t translate (gpu utilization after buildout, etc). Having other software layers also reduces margins and $CRWV found that out firsthand, which is why they spent billions on acquisitions recently. So having raw capacity doesn’t always translate to good profit margins like what $NBIS already has (71.2% gross from last ER, if I remember correctly) being full stack + operational efficiency + diversified smbs that miners that pivot won’t have.
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Neoclouds凭借软件编排优势解决GPU瓶颈，构建高毛利护城河。
好问题！超大规模云厂商已签署确切的利用率+支出协议，例如 $NBIS 与 $MSFT 的交易，微软将在5年内支出170-200亿美元。这并非完全是在承担高资本支出(capex)的风险，因为他们是在为产能付费以解决瓶颈。他们仍在支出数百亿美元，部分原因是无法自建，部分原因是前期高资本支出存在更大风险。我在核心论点中写道，Neoclouds（新云）+ 有意将GPU分配给这些Neoclouds是 $NVDA 维持主导地位、实现多元化并避免未来利润率压缩的方式。我们也看到超大规模云厂商在自建方面遇到困难（如 $ORCL 亏损1亿美元），但这恰恰表明Neoclouds在软件编排处理GPU利用率以及通过其建设方式维持高毛利率方面拥有巨大护城河。$NBIS、$WLAC 等毛利率已达70%左右，现在只是执行问题。这不仅是芯片稀缺，这些小型公司+转型HPC的比特币矿工（如 $IREN）实际上拥有竞争优势，即护城河。
英文原文
Great question! Hyperscalers signed confirmed utilization + spend, for example with $NBIS deal with $MSFT, Microsoft is spending 17-20B over 5 years. It's not exactly risking high-capex, since they're spending to pay for capacity since there's a bottleneck. They're still spending tens of billions of dollars, partly because they can't do it themselves and partly because there's a larger risk in high capex upfront. I wrote in my central thesis that Neoclouds + intentional GPU allocation to these Neoclouds were $NVDA's way of maintaining dominance, diversification, and not risking margin compression down the road. We've also seen hyperscalers have trouble with buildout on their own, (eg. $ORCL losing $100m), but this just goes to show that there is a huge moat with Neoclouds in terms of software orchestration handling GPU utilization and maintaining high gross margins with how they do their buildout. $NBIS, $WLAC, and others already had 70% or so gross margins and it's just execution now. It's not just scarcity in chips, there's actually a competitive advantage that these little guys + Bitcoin miners turned HPC ( $IREN), that is the moat.
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呼吁监管机构调查媒体虚假报道操纵市场及潜在内幕交易行为。
@HesterPeirce @SEC_Enforcement @FINRA @CFTC - 调查此类对产生重大市场影响的媒体报道是否违反了10b-5规则。请探查其与外部证券交易的模式/协调情况。最近一次发生在10月7日，“甲骨文内部数据显示出租英伟达芯片的财务挑战”——缺乏背景的投机性报道造成了数百亿美元的市场财务损失。$ORCL 估值下跌80-90亿美元（$291 -> $284），$CRWV 下跌20亿美元，以及该板块其他许多抛售。在此事件中，文章故意遗漏了极其重要的数百亿美元云合同，以将讨论框架设定为针对 @sama 和 @satyanadella 的抹黑文章。操纵市场的糟糕新闻令人发指，但由于这种影响市场的行为持续存在，请调查 The Information 的无根据报道和关键信息遗漏是否与外部证券交易有关。
英文原文
@HesterPeirce @SEC_Enforcement @FINRA @CFTC - Investigate whether this media reporting, which materially affects the markets, violates Rule 10b-5. Probe patterns/coordination with external security transactions. Most recent occurrence was October 7th, "Internal Oracle Data Show Financial Challenge of Renting Out Nvidia Chips” - speculative reporting lacking context caused tens of billions of dollars in market financial damages. An $8 – 9 billion drop in $ORCL valuation ($291 -> $284), $2B decline in $CRWV, and many other sell-offs in the sector from the article. In this event, the article intentionally leaves out extremely important tens of billions of dollars of cloud contracts to frame discussions as a hit-piece on @sama and @satyanadella. Bad journalism that moves markets is egregious but as this market-moving behavior is ongoing, please probe whether unsubstantiated reporting and critical information omission done by The Information is connected to external securities transactions.
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建议无视噪音，关注基本面，利用散户恐慌期积累AI算力龙头筹码。
谢谢，只是目前 Mag7 对 AI 算力（数据中心、电力）的需求出现了绝对激增，而许多此类公司的机构持股比例极低（例如 $NBIS 为 38%，而通常理想区间为 60-75%）。散户可能因错误原因（例如看到 $AMSL 建厂放缓就抛售，尽管 AMSL 正在扩建晶圆厂，却无视 $TSM 今日公布的远期营收/利润率激增）或受特定地区银行冲击影响，将 $MSFT 或 $GOOGL 的未来基础设施资产恐慌性抛售给机构。如果普通人不理解宏观，这类噪音有助于对冲基金在不大幅推高价格的情况下积累筹码。最好关注基本面+增长是否完好（确实完好，且我们此前低估了需求），并忽略如 ORCL 新闻或短期宏观冲击等看空报道。
英文原文
Thanks, it's just that there's been an absolute surge in demand for AI compute (Data Centers, Power) from Mag7, and institutional ownership in a lot of these companies are extremely low (eg. $NBIS 38% when usually sweet spot is 60-75%). Retail might be panic selling-off the future infra of $MSFT or $GOOGL to institutions for wrong reasons (eg. looking at $AMSL for buildout slowdown when AMSL does fab expansions, while ignoring $TSM blowout forward revenue/margin increase literally today) or because of a shock from specific regional banks. If regular people don't understand macro, noise like this help hedge funds accumulate without moving prices much. It's better to look if fundamentals + growth are in-tact (it is, and we've underestimated demand before), and ignore hit-pieces such as the ORCL news or short term macro shocks.
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区域银行恐慌是买入AI基建及新云厂商的良机，优选有真实营收支撑的标的。
宏观与回调思考 10月16日： 市场动态繁多，例如 $GLD 创历史新高，但这涉及美元的另一条复杂线索。今日股市主要下跌源于区域银行的冲击，因此我将聚焦于此。 以下是极佳的买入机会： 拥有确认的 Mag7 合同的新云厂商(Neoclouds) - $NBIS (MSFT) $CIFR (GOOGL), $WULF (GOOGL) 等。 AI 基础设施建设(AI Buildout) - 半导体如 $TSM（强烈买入，这类在爆发式财报后似乎总是回调以清洗看涨期权）。我们已有爆发式财报数据及增长的利润率+远期营收，$TSM 是我见过最简单的做多标的。TSM 的印钞能力也支持这一建设论点。 - 能源如 $FLNC 可能因数据中心建设+AI 使用带来的重估而继续上涨。 加密货币 - $BTC $107k, $LTC $90 都是极好的买入点，但我对 $CRCL 等会稍加谨慎。人们可能对 2023 年 Silvergate 倒闭及 USDC 脱钩仍有创伤后应激障碍(PTSD)。 某些股票急需修正： - 量子计算 - 机器人/无人机 - 关键矿产（仅特定标的可能优质） 这些公司零营收却因炒作呈抛物线增长。 区别在于，新云厂商+AI 基础设施建设是基于执行确认的营收。它们虽都是国家安全风险，但 AI 建设有全球最富有的超大规模云厂商背书。 “$AMZN, $META, $MSFT, $GOGL 等今年资本支出预计达 3200 亿。”- BI “$META, OpenAI 和 $ORCL 宣布未来几年将在数据中心投入超 1 万亿美元。”- BI 具体发生的情况： 市场今日因区域银行担忧下跌，但可能被夸大。最新恐慌源于 Zion/Western Alliance 的借款人欺诈。我猜测是个别银行问题，而非会导致信贷紧缩的系统性银行崩溃。 两周后降息概率接近 98%。这是全面必要的修正（以清除泡沫）+杠杆交易+期权流向。利用此次修正做多。 这仍是整个 AI 建设的最早期阶段，我预计 $NBIS 为例，1 年内 ARR 将增至 45 亿-70 亿+，市值从当前增至 600 亿+。 再次强调，新云厂商的炒作源于远期营收增长（基本面），而量子/部分无人机公司的炒作基于承诺。现在是扩大拥有疯狂远期营收增长（将导致市值大幅重估）公司多头的完美时机，而非仅如量子计算般的行业叙事/投机。
英文原文
Macro + Dip thoughts Oct 16th: There's a ton going on, eg. $GLD hitting ATHs, but that's a whole different rabbit-hole on the USD. Main stock drop today was due to a shock from regional banks, so I'll focus on that. It's a great buying opportunity on: Neoclouds with confirmed Mag7 contracts - $NBIS (MSFT) $CIFR (GOOGL), $WULF (GOOGL) etc. AI Buildout - Semis such as $TSM (Screaming buy it always seem to dips like this after blowout earnings to wipe off calls). We already have blowout earnings numbers and increasing margins + forward revenue, $TSM is just the easiest long I've ever seen. TSM printing money also supports this builtout thesis. - Energy such as $FLNC will likely continue going up because of re-rating bc of data center buildout + AI use. Crypto - $BTC $107k, $LTC $90 all amazing buys, I'd be a tad more cautious of $CRCL and others though. People probably have PTSD from 2023 silvergate, etc. going down and USDC depegging. It's a much needed correction for certain stocks: - Quantum - Robotics/Drones - Critical Minerals (only specific ones are likely good) That have 0 revenue and are increasing parabolically off hype. _ The difference is that Neoclouds + AI Buildout is confirmed revenue based on execution. They're all national security risks but AI Buildout has the wealthiest hyperscalers in the world are backstopping it. " $AMZN, $META, $MSFT, $GOGL, and others could spend an estimated 320B on capex this year". - BI " $META, OpenAI, and $ORCL, have announced plans to spend more than $1 Trillion on Data Centers in the next several years"- BI _ In terms of what happened in specific: Markets dipped today on regional banking fears, but it's likely overblown. The latest scare was due to Zion/Western Alliance mainly due to borrower fraud. My guess is that it's individual banks, not systemic banking collapses that would have credit tightening. We have a near-confirmed rate cut (close to 98%) in 2 weeks time. This is a correction needed across the board (to wipe away the froth) + leverage traders + option flow. use this correction to go long. This is still one the earliest parts of the whole AI buildout, I do expect $NBIS as an example to scale up to 4.5B-7B+ ARR in 1 year and $60B+ marketcap from here. Again the hype built into Neoclouds are because of forward revenue growth (fundamentals), while the hype into Quantum/some drone companies, etc. are based around promises. It's a perfect time to scale up longs from companies with INSANE FORWARD REVENUE GROWTH (which will cause large re-ratings to marketcaps) not just industry narrative/speculation like Quantum.
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博主基于宏观利好更新美股AI/半导体/能源等板块的强烈买入、买入及持有名单。
大豆/植物油崩盘，个人思考与解释： 强烈买入 $ALAB $CRDO $NBIS $WLAC $LTC $TSM $BTC （+ 同上次税务收割股） $AMZN $SMCI _ 买入 $AMD $FLNC $SEI $BZAI $NKLR $IREN $WULF $CIFR $CRWV $BITF $WYFI $SLNH $BITF $RBRK $GLXY $GRAB $SEA $META $TGT $SNAP $MU $RKLB $FLY $UNH 持有 $MP $HOOD $EOSE $NVDA $GOOGL $DFLI $SOFI $VIRT $RR $AVGO $BE $ASTS （已达推文股票代码上限，其余同上次帖子，Quantum或Oklo仍建议卖出） _ 强烈买入 ALAB - 数据中心建设的重要组成部分，拥有类似英伟达(NVDA)的利润率，客户包括Mag7。已有来自博通(AVGO)的竞争者，真的不认为Arista会构成竞争威胁。 CRDO - 与ALAB同样的抛售，之前觉得两者都略有高估，但现在回到修正区间，适合补仓。 NBIS - $400目标价牛市情景。宏观顺风来自政府重新开放+10月底降息预期进入财报季，短期前景看好。利好众多（如Meta x CRWV，因此有更多Mag7客户的潜力），分部表现良好，例如Clickhouse，季度收入从$1亿扩展到$15亿+非常惊人。合同已锁定，只是公司执行的问题。 WLAC - 之前在$13时写过投资逻辑。即使在$14.5也很强，因为它可以轻松重估100%+。 LTC - 受杠杆交易者和政府停摆影响。预计停摆将持续一段时间，主要买入理由是ETF获批。但无论如何，低于$100都是很好的买入点，因为最终会获批（~95%概率）。 TSM - 天哪。如果是美国公司这将是$3万亿市值的公司，利润率惊人，对于其规模而言增长率惊人。每篇关于OpenAI X (**Sydney Sweeney合作)或AMD建设/NVDA建设的帖子中，TSM都是核心，即使以历史高点买入，也轻松成为$2万亿+公司（目前约$1.5万亿）。 BTC - $112K是好的入场点。黄金不断创历史新高，基本面没什么变化，只是最近大量清算。 （+ 同上次税务收割股） AMZN - 我真不知道为什么年初至今还在跌。我觉得亚马逊不需要太多解释，但仍在增长（例如AWS积压订单巨大，仍增长24%，当然不如ORCL、GCP等），但考虑到年底季节性和2月前的上涨，现在可能是抄底的最佳时机。AMZN今天触及$213-215是补仓的好机会，因为短期波段交易通常浮动在$218-$227，但长期我预计它会追赶其他Mag7。 SMCI - 被低估。市场关注短期表现，Charles引用的55%+同比前瞻收入增长无人相信+未实现的积压订单。但现在随着所有数据中心建设，这开始说得通了。因此应在接下来两次财报中重估。 _ 买入 AMD - OpenAI x AMD，Oracle使用AMD建设，这么多交易，如果它确实是$NVDA的强劲竞争对手，将重估为潜在$1万亿+公司。我不认为赢家通吃，可以看到$NVDA $4.5万亿+市值和$AMD $3500亿市值，所以我们可以看到大幅拉升（OpenAI通常是前沿模型领导者，如果Sam说他们可以使用AMD芯片+Elon说它对中小模型有益，可能意味着积极信号） FLNC - AI消耗后能源强劲重估，很好的买入。 SEI - AI消耗后能源强劲重估，很好的买入。 BZAI - 别人做过这家公司的深度研究，仅因板块和向边缘计算转移（例如机器人将很热）。由于低市值和类似公司的上涨可能表现良好。 NKLR - 像$OKLO这样的核能股已经起飞，这只是跟随梯队。 IREN - 无需介绍，巨大的GW算力，只是还没有宣布Mag7交易，但随时可能到来 -> 强劲重估。不是强烈买入的唯一原因是因为不完全确信矿工能像CRWV那样转型并保持高利润率（例如$ORCL打击文章），但我们会看到。 WULF - GOOGL积压订单，另外$3.6+亿左右的资金帮助很大。 CIFR - X上有很多关于未来产能和强劲重估的信息。一直喜欢这家公司，因为它是NBIS-lite。你可以买任何Neocloud，因为板块潜力巨大，Mag7将收入注入。 CRWV - 因为债务不像其他人那样喜欢，但由于植物油修正，$134（低于META交易宣布时）是更好的买入点 BITF - Neocloud类别相同 WYFI - Neocloud类别相同 BITF - Neocloud类别相同 GLXY - Neocloud类别相同，有助于其建设 RBRK - 做过深度研究，中期网络安全板块很好的买入，他们只需缩减营销，然后看起来有更多自由现金流，因为他们将大部分运营支出花在营销上。 GRAB - 基本面很好，-6.56%修正再次买入 SEA - 东南亚的AMZN，很多人使用。仅因客户群+变现潜力就买入。基本面$50亿+收入38% Y/Y增长也很好。 META - 我真的很不喜欢他们在AI上的昂贵资本支出，因为他们并没有像ChatGPT那样推出前沿模型，谁知道Zuck在做什么。但除此之外，一个月下跌7.3%，回到$700支撑位，可能在这里买入以追赶是个好主意。 TGT - 下个月股息是好的催化剂。 SNAP - Jenners回来了（有助于人气），他们将前记忆运营支出转为收入，这可能会导致明年巨大的重估。只是受税务收割影响，否则现在会是强烈买入。通常税务收割事件在12月完成。 MU - 现在中国恐惧稍微减弱，MU因为建设中的内存使用而成为更强的买入。 RKLB - 中子，金色穹顶合同，很多催化剂 FLY - 中等提升 UNH - 不受大豆影响的医疗保健股，但有修正。机构发布持仓后可能会上涨（例如Warren可能买了更多） 随机想法 基本上任何不是Oklo的成长/风险股都很好，因为我们有 -> 10月底降息 -> 政府重新开放（可能在10月底或11月初） 进入 -> 12月降息。 -> 中期选举（对股票看涨） 通常市场崩盘发生在紧缩而非宽松时。你的愚蠢量子泡沫可能会再持续3-12个月。如果你做空，可能等到明年2月。 无论如何，这是风险偏好的好时机，特别是搭乘Neoclouds -> 相关板块（例如能源）-> 相关公司（例如smci, tsm等）的趋势。 我半开玩笑地说大豆，因为它可能签署了升级紧张局势，但我可能会看到明年前的上涨。另外我可以写很多关于每一个的内容，但这很耗时，但我会不时发布关于随机股票如$RBRK的投资逻辑帖子。 太空/机器人/能源/量子/AI/半导体/关键垂直领域是目前最顶级的，不要对抗动量。我可以认为某些东西被高估了（例如一些关键材料，因为与Neoclouds相比仍然具有投机性，后者基于Mag7的执行有保证的收入），但我不会在降息时做空它。 只是个人想法，非财务建议
英文原文
The Great Soybean/Seed Oil Crash, personal thoughts and explanations: Strong Buy $ALAB $CRDO $NBIS $WLAC $LTC $TSM $BTC (+ same as tax harvest stocks last time) $AMZN $SMCI _ Buy $AMD $FLNC $SEI $BZAI $NKLR $IREN $WULF $CIFR $CRWV $BITF $WYFI $SLNH $BITF $RBRK $GLXY $GRAB $SEA $META $TGT $SNAP $MU $RKLB $FLY $UNH Hold $MP $HOOD $EOSE $NVDA $GOOGL $DFLI $SOFI $VIRT $RR $AVGO $BE $ASTS (Hit the ticker maximum but everything else from last post, still sell on Quantum or Oklo) _ Strong Buys ALAB - Huge part of datacenter buildout, NVDA like margins, Mag7 customers. Already had competitors from AVGO, really don't think Arista would be a competitive threat. CRDO - Same sell-off as ALAB, thought they were both kind of overvalued before, but now they're back in correction territory so good to stock up. NBIS - $400 PT bull case. We have macro tailwind from government re-opening + rate cut EOM october into earnings, so short term looks promising. Lot of things going for it (eg. meta x crwv, so there's potential for more mag7 clients), sum of parts doing well, eg. clickhouse, and scaling rev from $100m to $1.5B+ a quarter is insane. there's already contracts locked in its just a matter of company execution. WLAC - Wrote a thesis about this earlier at $13. Even at $14.5 strong because it can re-rate 100%+ easily. LTC - Affected by leverage traders and government shutdown. The shutdown is predicted to last awhile and the main reason to buy was the ETF getting approved. But a great buy sub <$100 anyway, because it will get approved in due time (~95% chance). TSM - Holy crap. This would be a $3T company if this were a US company, insane profit margins, insane growth rate for their size. And every post you see about OpenAi X (**sydney sweeney partnership) or AMD buildout/NVDA buildout. TSM is the center of it all and would easily be a $2T+ company (from here at ~$1.5T), even if buying at ATHs. BTC - $112K good entry point. Goldt keeps hitting ATH, nothing really changed fundamentally, just lot of liquidations recently (+ same as tax harvest stocks last time) AMZN - I really don't know how it's still down YTD. I don't think Amazon needs much explaining but still growing (eg. AWS backlog massive, still going like 24% but not as much as ORCL, GCP and others obviously), but with EOY seasonality and runup to Feb, now is probably the best chance to catch the bottom. AMZN hitting $213-215 today was a good chance to stock up since it usually floats between $218-$227 if you're short term swing trading but long term I'd expect it to catchup to other mag7. SMCI - Underrated. Markets were looking short term performance, and Charles was quoting like 55%+ Y/Y forward revenue growth which nobody believed + backlog that didnt get realized yet. But now with all the data center buildouts, now it's kinda making sense. So should re-rate in the next two earnings. _ Buy AMD - So many deals from OpenAI x AMD, oracle building out with AMD, this is going to re-rate to a potential $1T+ company if it's actually a strong competitive to $NVDA. I don't think it's winner takes all and you can see a $4.5T+ market cap size with NVDA and some $350B marketcap size with AMD, so we can see a large ramp up (OpenAI is usually the leader in frontier models and if Sam says they can use AMD chips + elon said its' good for small-medium weight models, prboably means something positive) FLNC - Strong re-rate on energy after AI consumption, great buy. SEI - Strong re-rate on energy after AI consumption, great buy. BZAI - Someone else did a DD on this company, just cause of sector and shift to edge compute (eg. Robotics goign to be hot). Because of low MC and runup of similar companies could turn out well. NKLR - Nuclear stocks like $OKLO have been taking off, this is just follow the lader. IREN - Needs no introduction, huge GW compute capacity just no announced mag7 deals yet but could come anytime -> strong re-rate. Only reason not a strong buy is because not fully convinced miners can pivot like CRWV and maintain great margins (eg. $ORCL hit piece) but we'll see. WULF - GOOGL backlog, another $3.6+ or so in funding helps a lot. CIFR - Lot of info on X about future capacity and strong re-rating. Always liked this company because it was NBIS-lite. You can probably buy any Neocloud and it will go up because the sector is incredibly high potential with Mag7 funneling revenue. CRWV - Didn't like this as much as others because of debt but because of the seed oil correction much better buy point at $134 (below when META deal was announced) BITF - Same in Neocloud category WYFI - Same in Neocloud category BITF - Same in Neocloud category GLXY - Same in Neocloud category, helps with their buildout RBRK - Did a DD on this, great buy for cybersecurity sector in mid term, they just need to scale back marketing and then it looks like they have a lot more FCF because they're spending most OPEX on marketing. GRAB - Great fundamentally, -6.56% correction good to buy again SEA - AMZN in SEA, tons of people use them. Just a buy just because of costumer base + monetization potenetial. Fundamentally growing $5B+ rev 38% Y/Y is also great. META - I really don't like all their expensive capex on AI since they're not really putting out fronteir models like ChatGPT with it, who knows what Zuck is doing. But that aside, down 7.3% over the month, going to $700 support, probably a good buy around here to play catchup. TGT - Dividend next month good catalyst. SNAP - The Jenners are coming back (helps with popularity), they're shifting former memory opex to revenue, and this will probably cause a HUGE rerating next year. Just suffers from tax harvesting otherwise would be a strong buy rn. Usually tax harvesting events are kinda done in December. MU - Now that China fears are kinda less intense, MU is a lot stronger buy just cause of memory use on buildout. RKLB - Neutron, golden dome contracts, lot of cataylsts FLY - Medium lift UNH - Healthcare stock not affected by soybeans but had a correction. Would likely go up one instituions post their ports (eg. warren likely bought more) Random thoughts Basically any growth/risk stock that's not named Oklo is great because we have -> Rate Cut end of month October -> Government re-opening sometime (likely around end of Oct or early Nov) Into -> Rate Cut December. -> Midterms (Bullish for stocks) Usually market crashes happen when there's tightening not easing. And your stupid quantum bubbles would likely continue for another 3-12 months afterward. If you're short, then probably wait till next Feb. Anyway, this is a great time for risk-on, and specially riding trends with neoclouds -> affiliated sectors (eg. energy) -> affiliated companies (eg. smci, tsm, etc). I half joke-about soybeans because it likely signed escalating tensions, but I'd probably see a run-up into next year. Also I could write up a lot about each one but it's pretty time consuming but I'll put on a thesis post about random ones eg. $RBRK, from time to time. Space/robotics/energy/quantum/ai/semi/critical top verticals right now, don't fight against momentum. I can think something is overvalued (eg. some critical materials bc. it's still spectulative compared to neoclouds that kinda have guaranteed rev based on execution from mag7) but I wouldn't short it into rate cuts. Just personal thoughts, NFA
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NBIS凭借全栈软件及多元客户，长期潜力优于IREN。
IREN 短期内可能因原始算力(GW)优势而表现优异，但 $NBIS 具备在市场修正/崩盘中存活并最终成为下一个市值超1000亿美元的 $MSFT 的潜力，其价值源于各部分投资之和。此外，他们拥有多元化的客户群（从 $ORCL 财报中我们已看到其重要性）。同时具备全栈+软件编排能力（从 $ORCL 财报及 $CRWV 收购软件公司中可见其重要性）。市场正在定价矿工转型的能力，但正如甲骨文案例所示，始终存在盈利风险，因此 NBIS 已具备这一优势。
英文原文
IREN might outperform near term just because of raw GW but $NBIS has the potential to outlast any market correction/crash and become the next $100B+ $MSFT with sum of parts investments. Also they have diversified client base (we've seen why that's important with the $ORCL report) Also full stack + software orchestration (we've seen why that's important with the $ORCL report and why $CRWV has been buying up software companies). People are pricing in miners being able to pivot but there's always profitability risk as seen with oracle, hence why NBIS already has that down.
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解析$NBIS全栈优势及分部估值，给出$400目标价，对比$CIFR/$IREN。
我仍持有6位数的随机$CIFR期权，但信心不高。 简短总结我对$NBIS比其他公司更有信心的原因： -Nebius是全栈式(full-stack) -> 利润率更高（GPU利用率的软件编排，我们曾讨论过其重要性，以及从$ORCL建设失败中建立的护城河，还有$CRWV收购大量软件公司的原因）。 -分部估值(sum of parts)（例如FTX投资Anthropic、$HOOD，它们在几年内都上涨了1000%）即使利润率受压，也能比主营业务更持久，且$NBIS在Clickhouse等优秀公司中持有大量股份。 -更分散的客户群（也从$ORCL那里学到了其重要性）用于建设->使用，相比其他Neoclouds。 高置信度$400目标价，牛市情景下1年内$1000亿市值。 我也做多$IREN等，仅因其电力容量，或$CIFR作为“轻量版Nebius”在融资+Mag7客户方面，但这与我坚信一家公司vs认为其基本面将跑赢略有不同。
英文原文
I still have 6fig in random $CIFR strikes but not high conviction. Short TLDR on why I have high conviction in $NBIS compared to others is because -Nebius is full stack -> higher margin (software orchestration for GPU utilization, we why that's important and a moat from $ORCL build-out failure, and why $CRWV bought out a lot of software companies). -sum of parts (eg. FTX investing in Anthropic, $HOOD, where they all went up 1000% over a few years) can outlast a main business even if margins got compressed and $NBIS has a large stake in great companies like Clickhouse -more diversified client base (learned from $ORCL why that's important too) for buildout -> usage compared to other Neoclouds. High conviction $400 PT, $100B MC in 1Y for a bull case. I'm long stuff like $IREN too just because of their power capacity or $CIFR being Nebius-light in terms how they did fundraising + Mag7 client but it's slightly different me believing in a company vs. thinking they will outform from fundamentals.
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博主调整ETF持仓：大幅加仓AMD及新购多只AI/能源股，减仓部分股票以进行税务亏损收割。
哇，我在这个ETF上操作得极其激进，一切都涨得**很多。 不管怎样，以下是一些我会做的公司调整及解释： $AMD - +10%（重新评级） $FLY - +3%（新增） $WLAC - +1%（新增） $MU - +1%（新增） $FLNC - .5%（新增） $SEI - .5%（新增） $DFLI - - .25%（新增） _ 减仓（进行税务亏损收割 Tax harvesting） $ORCL $LULU $META $UPWK $ETOR $SNAP 其他小盘股 _ 以下是解释 $AMD - 刚刚获得了1000多亿美元的前瞻性收入，他们的季度收入几乎一夜之间翻倍，而且市场甚至还没有定价。极强的买入信号 $FLY - 44亿美元估值，从事类似$RKLB的小型至中型发射任务。让我想起RocketLab刚起步的时候，风险回报比很好。 $WLAC - Neocloud IPO，估值6亿美元（很低），EBITDA毛利率75%+，营收同比增长250%，很可能由Mag7（七大科技巨头）提供保底支持 $MU - 鉴于Stargate + OpenAI所需的基础设施量，内存需求旺盛 $FLNC + $SEI - 能源板块（高风险高回报） $DLFI - 电池板块（高风险高回报） 减仓 $ORCL - 在GPU建设方面遇到困难，这正好显示了超大规模云服务商和像$NBIS这样的Neocloud之间的护城河。直接购买Neocloud有更高的上行空间。 $LULU, $META, $UPWK, $ETOR, $SNAP. - 涨幅不大，我们要尽可能激进地持有赢家，并在完成税务亏损收割后回购，例如换成$AMD，以及获得更高回报的三次降息收益。 将在年底完成税务亏损收割后回购。
英文原文
Wow I cooked insanely hard with this ETF, everything is up a **** ton. Anyway, some company changes I'd make + explanations: $AMD - +10% (rerate) $FLY - +3% (new) $WLAC - +1% (new) $MU - +1% (new) $FLNC - .5% (new) $SEI - .5% (new) $DFLI - - .25% (new) _ Trim (Tax harvesting) $ORCL $LULU $META $UPWK $ETOR $SNAP Misc small caps _ Here's an explanation $AMD - Just got $100B+ in forward revenue lol, they almost doubled their quarterly revenue overnight and hasn't even been priced in yet. Extremely strong buy $FLY - $4.4B valuation doing small-medium lift launches like $RKLB. Reminds me of RocketLab when they first started, risk-reward is good. $WLAC - Neocloud IPO at $600m valuation (low) for something doing 75%+ EBITDA gross margin + 250% rev from last year + likely backstopped by Mag7 $MU - Memory in demand given the amount of infra required by Stargate + OpenAI $FLNC + $SEI - Energy Play (high risk high reward) $DLFI - Battery Play (high risk high reward) Trim $ORCL - Having trouble with GPU buildout, just goes to show the moat between hyperscalers and Neoclouds like $NBIS. Higher upside just buying Neoclouds. $LULU, $META, $UPWK, $ETOR, $SNAP. - Hasn't gone up much, we're playing as aggressive as possible with winners and will buy back once tax harvesting is done, eg. swap for $AMD, and higher return triple rate cut returns. Will buy back near EOY once tax harvesting is done.
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博主分享了一份包含多只股票权重的投资组合分散化示例。
@DigestingX 我在这里写了一个投资组合分散化的例子：https://t.co/R7eMeeqR29 （引用内容：我收到了很多关于股票权重的提问。我会构建的投资组合是：30% $NBIS，6% AMZN，5.5% TSM，5% BTC，5% LULU，4% UNH，4% $RKLB，4% LTC，3% ORCL，3% TGT，3% GRAB，2% $IREN，2% META，2% HOOD，2% HIMS，2% AMD，2% NVO，1.5% CRDO，1% BITF，1% ASTS，1% SG，1% UPWK，1% MP，1% FOUR，1% ETOR，1% INTC，1% COIN，1% SMCI，1% MRVL，1% DAVE，0.5% DLO，0.5% MELI，0.5% SNAP，0.5% CRWV，0.2% ONDS，0.2% NFE，0.2% TSSI，0.2% BKKT，0.2% GRRR）
英文原文
@DigestingX I wrote an example of portfolio diversification here https://t.co/R7eMeeqR29
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分析NBIS因客户多元及软件优势，利用率表现优于IREN和ORCL。
这是多种因素混合的结果，文章没有提供细分数据。一个主要原因是建设/利用率与收入增长之间存在滞后。$NBIS 在这方面的表现优于 $IREN 和 $ORCL，因为他们拥有高度多元化的客户群 + 更好的软件编排能力以实现更高的整体利用率。我不同意这主要是由托管(colocation)造成的，因为导致甲骨文利润率下滑的是同时发生的4-5个不同因素。
英文原文
It's a mix of things, the article doesn't provide breakdown. A large reason was because of lag between buildout/utilization and revenue ramp. $NBIS does better than $IREN $ORCL in the regards that they have a heavily diversified customer base + better software orchestration to achieve higher utilization throughout. I disagree that it was mainly due to colocation since it's 4-5 different things at once causing margin loss for oracle.
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对比NBIS与ORCL，指出客户多元化有助于降低集中度风险并提升利用率。
没错，这确实揭示了集中度风险，也说明了为何拥有高度多元化客户基础的“新云”厂商（如 $NBIS）可能会比那些没有多元化的厂商拥有更好的经济效益。 $ORCL 的部分亏损源于建设周期与利用率之间的时间差，因为其几乎所有订单都来自 OpenAI 等 4-5 家客户。需求是存在的，但存在收入滞后。 以 $NBIS 为例，其客户高度多元化，很可能在建设过程中就实现高利用率。
英文原文
Yep that's true and just alerts to concentration risk and why Neoclouds (eg. $NBIS) that have heavily diversified customer base would likely have better economics than those that don't. Part of $ORCL's loss was time between buildout/utilization since virtually all of its deals came from 4-5 customers like OpenAI. Demand exists, but there was revenue lag. $NBIS for example is heavily diversified and would likely achieve the high utilization throughout buildout.
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甲骨文GPU服务亏损凸显新型云在资本效率与利润率上的优势，利好NBIS等。
为什么$ORCL在GPU即服务（GPU-as-a-Service）方面面临的挑战（据泄露消息）实际上对Nebius等新型云（Neoclouds）是利好。 超大规模云服务商在GPU经济学上的挣扎，加强了专业化新型云的论点。 这对$NBIS、$WYFI、$IREN、$CIFR、$CRWV等股票来说是一个惊人的机会： 简而言之（据传闻）： 甲骨文面临亏损源于： - 客户增长前的低利用率（闲置产能） - 巨额前期资本支出（Blackwell GPU） - 沉重的 overhead（运营开销） - 折扣定价 结果：甲骨文的GPU计算业务出现负毛利率。 这对甲骨文是利空，对新型云是利好：这仅仅表明 1. 复杂性的证明 = 护城河的验证。 像$NBIS这样的新型云做得更好，这是一个真正的竞争优势和利润率机会（这就是为什么$MSFT选择与Nebius签约而不是自建）。 2. 资本效率优势。 新型云使用租赁/托管以获得灵活性（例如NBIS在Patmos和Verne），并通过工作负载分配保持高利用率（而甲骨文在利用率上挣扎）。 3. 外包需求增加 如果甲骨文和超大规模云服务商在建设上遇到困难，他们可能会将工作负载转移到新型云并签署更多合同（例如MSFT与CRWV）。 4. 甲骨文在此使用了折扣价格。新型云可以在优化利润率的基础上进行理性定价。 5. 定制基础设施提高利润率 像Nebius这样的新型云拥有用于GPU调度的定制编排堆栈，大量内部软件和自动化以最大化利用率和产出，从而维持50-70%的毛利率，相比之下ORCL则不然。 这对甲骨文和超大规模云服务商的建设是利空，但实际上对$CRWV、$NBIS等专业新型云提供商是利好。
英文原文
Why $ORCL facing challenges with GPU-as-a-Service (from leaks) is actually bullish for neoclouds like Nebius. Hyperscalers struggling with GPU economics strengthens the case for specalized neoclouds. This is an insane opportunity on $NBIS, $WYFI, $IREN, $CIFR, $CRWV and others: TLDR: (from rumors) Oracle faced a loss from: - Low utilization (idle capacity) before customer ramp - Massive upfront CapEx (Blackwell GPUs) - Heavy overhead - Discount pricing Result: Negative gross margins on GPU compute for Oracle. This is negative for Oracle, positive for Neoclouds: This is just goes to show 1. Proof of Complexity = Validation of Moat. Neoclouds like $NBIS do it better and this is an actual competitive moat and margin opportunity (This is why $MSFT went to Nebius to sign a deal instead of building it out themselves). 2. Capital Efficiency Advantage. Neoclouds use Leasing / colocation for flexibility (e.g. NBIS in Patmos & Verne), workload allocations to maintain high utilization (while Oracle struggled with utilization). 3. Outsourcing Demand Increases Oracle and Hyperscalers might shift workloads to Neoclouds and sign more contracts if they have trouble with buildout (eg. MSFT with CRWV) 4. Oracle used discount prices here. Neoclouds can just price rationally on top of optimizing their margins. 5. Custom Infra Increases Margins Neoclouds like Nebius have custom orchestration stacks for GPU scheduling, lot of internal software and automation to maximize utilization and yield to sustain 50-70% gross margins compared to ORCL. This is news negative for Oracle and Hyperscaler buildout but actually bullish for specialized neocloud providers like $CRWV, $NBIS, and others.
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分析NBIS、AMZN、SNAP等个股机会，看好AI基建及降息预期。
10月6日周一收盘思考： - $NBIS 是极好的逢低买入机会。早盘上涨5.78%后回落2.38%。从 $IREN 到 $CIFR 的所有其他新云(Neoclouds)公司都守住了4%-14%+的涨幅。Nebius可能受期权资金流影响，预计很快会补涨，我维持 $225 的目标价(PT)。 - $AMZN, $META 是两只在未来2-3个月应跑赢大盘并补涨的七巨头(Mag7)成员。尤其是亚马逊。 - $SNAP, $RDDT 是两个不错的反弹标的。Snapchat尤其因为收入变现模式的改变。如果你有耐心持有股票一两年，我预期会有50%+的回报，只是取决于市场何时将其定价。并非每个人都有耐心，且将资金用于 $SNAP 而非新云(Neoclouds)的机会成本可能不划算。 关于Reddit，我一直认为ChatGPT引用是其暴跌29%的借口，所以我已买入。 - $SPRB 吸引了所有人的注意。我预计它将从7500万美元市值继续上涨至1.5亿-2亿美元，但这就像玩俄罗斯轮盘赌，通常在重大事件后2-3天就会发生稀释。 - 像 $RKLB 这样的股票，只需持有哈哈。即使它是我最高信用的5年期长线标的，也确实高估了，但此时它可能会像 $PLTR 一样表现。 - $AMD 与 OpenAI 的交易对半导体行业极度利好。我预计 $TSM, $ASML, 能源股和新云(Neoclouds)将从AI基础设施建设中受益。主要的负面因素是 $CRWV，因为其对 $NVDA 的依赖，以及显然的NVDA本身，但新云(Neoclouds)并未锁定单一玩家，且已锁定5-10年以上的合同。 这仅对 $NVDA 的护城河理念造成微小影响，但尚无实质性影响。 我个人认为AMD可能会像 $ORCL 一样在反弹后回调，然后当市场开始计入远期收入时，像 $AVGO 一样表现。 话说回来，我不知道OpenAI从哪弄来这么多钱，承诺给Oracle、AMD等这些十亿或百亿美元的交易，如果它们估值只有5000亿的话哈哈。 - 黄金每天创历史新高，仅仅表明 $BTC 始终是好的买入标的，即使在 $123k，如果它最终成为对抗通胀的对冲工具。其市值约为黄金的1/10。 - $LTC 仍然是很好的买入标的，因为ETF获批。由于政府停摆，人们只是忘记了它尚未发生，但最终应该会获批。 - $VIRT 在 $32.5 是极好的买入，我会在这个区间进行成本平均（抱歉如果你在 $36 买了看涨期权，我的仓位下跌了约35%）。但再次强调，这是对VIX的非对称对冲（VIX隐含波动率很高用于对冲，VIRT被低估~6.3倍远期市盈率，有回购和低隐含波动率），所以即使仓位下跌，你的其他股票应该会上涨以平衡。 - 仍在研究其他受益于基础设施建设的能源股、小盘股如 $EOSE、存储如 $MU 等，这些是粉丝推荐的。我尽量不在自己充分了解前谈论太多。 - 如果你使用杠杆或做多，现在是时候了，直到一月。三次降息，市场可能正在提前交易十月的降息。
英文原文
Monday October 6th Market Close Thoughts: - $NBIS extremely good dip buy. Down 2.38% after rising 5.78% in the morning. All other Neoclouds from $IREN to $CIFR held their 4%-14%+ gains. Nebius likely influenced by option flow, should play catchup soon and I stand by $225 PT. - $AMZN, $META two Mag7 that should outperform next 2-3 months and play catchup with the rest. Especially Amazon. - $SNAP, $RDDT two good recovery plays. Snapchat especially because of the revenue monetization changes. If you have the patience for shares for a year or two, I'd expect a 50%+ return, just whenever the market wants to price it in. Not everyone has patience and opportunity cost using the funds in $SNAP instead of Neoclouds might not be worth. Reddit I've maintained that the citations from ChatGPT is a BS reason for a 29% sell-off so I bought into it. - $SPRB caught everyone's attention. I do expect it to keep rising to a $150-$200m marketcap from $75m but it's like playing Russian Roulette, usually dilution happens 2-3 days after a major event. - Stuff like $RKLB, just need to hold lol. It's genuinely overvalued even if it's highest conviction 5Y long but at this point it might pull a $PLTR. - $AMD x OpenAI deal heavily bullish for semi industry. I expected $TSM, $ASML, energy stocks and Neoclouds to get a boost from AI infra buildout. Main negative ones were $CRWV, because of $NVDA dependencies and obviously NVDA, but Neoclouds aren't locked into one player, and they already have 5-10+ year contracts locked in. It just puts a tiny dent in the $NVDA moat idea but nothing material yet. I personally think AMD might pull an $ORCL where it dips past rally, and then ends up pulling an $AVGO when markets start pricing in forward revenue. Then again, I don't know where OpenAI is getting all this money to promise Oracle, AMD, etc. all these ten or hundred billion dollar deals if they're valued at 500B lol. - Gold rallying to ATH every day just signals that $BTC is always a good buy, even at $123k, if it ends up becoming a hedge against inflation. It's close to 1/10th the market-cap. - $LTC still a great buy because of ETF approval. There's the government shutdown so people just forgot it hasn't happened yet, but should get approved eventually. - $VIRT great buy at $32.5, I'd cost average around this range (sorry if you bought calls at $36, my positions are down 35% or so). But again it's an asymmetrical hedge to VIX (VIX IV very high for hedging, VIRT is undervalued ~6.3 forward p/e with buybacks an low IV), so even if positions are down, your other stocks should go up to balance it out. - Still looking into other beneficiaries of buildouts from energy stocks, small caps like $EOSE, memory like $MU, etc. that followers recommended. I try not to talk about something much until I'm informed myself. - If you're on leverage or going long, now is the time to do it until January. 3x rate cut, market probably frontrunning Oct rate cut now.
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分享基于图表的波段交易策略，强调结合基本面与宏观分析的重要性。
我如何用图表进行波段交易，第二部分：短期（几周）+ 短中期（几个月）。 长期部分我会在另一篇帖子中讨论。 例1：$RKLB。仅凭直觉，在$40支撑位买入似乎是个好选择，$54卖出。通常下半部分（虚线）如$44也是不错的买入点，因为风险回报比良好，但你不会买到绝对底部。 你可以对像Rocketlab这样的股票这样做，因为长期来看，如果你持有足够久，即使它跌破$40，鉴于其基本面是强力买入（尽管目前略微高估），它很可能会恢复。 例2：$AMZN - 现在用正股买入是很好的选择。如果它跌破$210，你可以使用LEAPS（长期期权）。例如低于$200时，使用期限较短的看涨期权。 _ 了解基本面、宏观环境以及催化剂是否实质性影响也非常重要。如果未来收入大幅下降或行业利润率压缩，这些线条毫无意义。 很多时候它们因更非理性的因素下跌，例如GOOGL与苹果搜索之争，或者整体市场SPY下跌，但在这些情况下，如果没有实质性差异且公司持续增长，它们通常会再次上涨。再次强调，因人而异，在抄底时机上你需要分析图表以外的更多因素。这只是我所做工作的一部分。
英文原文
How I do swing trading with charts, Part 2: Short term (few week) + Short-Medium Term (few month). I'll do long term ones in another post. Ex 1: $RKLB. Just going off feels on this, seems like a great buy at $40 support, and $54 sell. Usually lower half (dotted line) like $44 is a good buy too cause risk-reward is good but u wont get the actual bottom. You can do it with stuff like Rocketlab since long term if you hold enough, even if it dips past $40 it will likely recover since it's a strong buy fundamentally albeit a tiny overvalued now. Example 2: $AMZN - Great buy with shares now. If it ever dips past $210, you can do leaps. Lower than $200 for example, shorter dated calls. _ Knowing fundamentals, macro, and whether catalysts are material or not is really also important. These lines mean nothing if forward revenue falls a lot or industry margins compresses. Lot of time they drop on more irrational things eg. GOOGL with Apple search, or maybe overall market SPY dipping but in those cases they usually rise up again if there's no difference + company keeps growing. Again different for everyone, you need to analyze more than the charts when timing bottoms. This is just part of what I do.
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通过对比NBIS与CIFR走势，论证基本面改变后图表模式对股价预测的有效性。
我常调侃图表分析，但有时它对基于模式的推理（非技术分析 TA）确实有帮助。 历史不会重演，但相似行业的公司往往押韵。 当基本面发生重大变化时： 例如 $NBIS（64->100->86）与 $CIFR（+32% -> -18% -> 上涨）在 $170亿 MSFT 交易和 GOOGL 30亿交易后的表现。 我们可能会看到 CIFR 在回调后像 NBIS 一样上涨。 它遵循了相同的模式：先上涨 32%，然后下跌 18%，现在它开始像 NBIS 一样攀升。 同样的逻辑也适用于财报后的 AVGO（先回调，然后大幅反弹）和现在的 ORCL（财报亮眼，回调，然后大幅反弹），因为基本面发生了改变。 我想把一些 Reddit 风格的图表分析带到 X 上，但在我看来，这是图表分析真正有用的一次。
英文原文
I make fun of charting but sometimes it's genuinely helpful for pattern based reasoning (not TA). History doesn't repeat itself but it often rhymes for companies in similar sectors. With things material to fundamentals: Eg. $NBIS (64->100->86) vs. $CIFR (+32% into -18% into rise) post $17B MSFT deal and GOOGL 3B deal. We'll likely see CIFR increase like NBIS after the dip. It followed the same pattern where it rose 32%, then dropped 18%, and now it's beginning it's ascent similar to NBIS. Same thing can be said about AVGO post earnings (then dip, then massive rally) and ORCL now (great earnings, dip, then massive rally), because fundamentals changed. Thought I'd bring some Reddit style charting to X but this is one of the times generally when charting helps imo.
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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。
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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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。
英文原文
Monday Market Close Thoughts: Extremely Strong Buy $NBIS $ETOR $LTC $VIRT Buy $AMZN $SMCI $TGT $CRM $TSM $CRDO $SG $CIFR $LULU $SLNH $ORCL $MSTR $RIOT $MARA Hold $IREN $HIMS $RKLB $PYPL $MRVL $IBIT $UPWK $GRAB $ALAB $ASTS $SOFI $NVDA $NVO Sell $HOOD $TSLA $RDDT $CRCL $PLTR $BMNR Strong Sell $OKLO $QBTS $IONQ _ Feel free to disagree but these are just my thoughts Strong Buy Explanations - Bought ~$70K of Virtu calls, 28% IV and just 6.6 forward p/e is undervalued. - Always DCA NBIS on the road to $200 on every dip. -ETOR is just way too undervalued at $39 imo. I don't even know how it hit that. If I remember correctly $700M+ cash pile on a 3.3B market cap, compounding similar rate to IBKR instead of HOOD/BULL but just straight line down below IPO price. - LTC ETF approval in 3-4 days with 95% odds. Great buy now unless it gets rejected ofc. Buy Explanations - Bought $50k+ Amazon calls today, looks more promising for recovery on the dip to $219+. Benefits from end of year seasonality from Oct - > Jan. Prime Day Oct 8th. Could dip again which is why it's good to DCA and not an extremely strong buy. - SMCI still projecting 55% forward revenue growth and it's kinda undervalued doing 5B+ quarterly revenue lol - TGT dividend in another month. There's some Target event but don't really think it matters as much as Amazon prime day. - CRM just bottoming chart wise, fundamentals not really changed - TSM better at $273, it's always a good buy but not a screaming buy like sub $250 - CRDO/ALAB, both dipped a lot. More of a correction rather than crash, which is why it's a decent buy agian. - SG, idk. I just like their salad and think risk reward at $8 is good considering they were trading $40 not too long ago. - CIFR, GOOGL backstopped now just execution. I'd buy on dips but today was a big rally - LULU benefits from Oct -> Jan end of year seasonality with holiday shopping. - SLNH, apparently waves have been going around X. Pretty small $100m marketcap or so, risk reward seems okay. - ORCL, they're a large shareholder of TikTok US at a discounted 14B valuation and have tons of forward rev from OpenAI/MSFT. It's one of those things where it probably dips after earnings like AVGO then pulls off a face ripping rally a month or two later. - MSTR, Bitcoin does well in Oct. Been shorted so Nav prem is probably around 1.4x-1.5x compared to 2x like during hype waves -RIOT/MARA pivoted to HPC so I like them more than before For hold stocks nothing really changed - Hood, I personally day trade so don't be offended if I think it's a good sell $130+ on a 12.27% increase day. - TSLA, cult stock detached from fundamentals - RDDT, I had a lot back at $100 wouldn't buy at $240 or 45B marketcap now so would probably sell/tri. - CRCL, just buy Coinbase instead - PLTR, cult stock detached from fundamentals, large part of their profit is just interest income - BMNR, just buy ETH if you want but ETH is a strong sell at $4k+ Strong Sell Anything carrying barely any rev with 10-20B+ marketcap I think is amusing . Props to you if you held OKLO from $8 to $116 though.
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分享今日多只股票及加密货币的短期交易与长期持仓逻辑。
除了ORCL、$NBIS、$IREN、$CIFR之外，今天这些是一些有趣的（短期）投资组合新增/交易和入场点，如果你好奇的话，附上我的一点点理由： GEMI ~$23.9 - 有趣的短期波段交易，随时波动+-~5%。不过从市值(Market Cap)来看被高估了。 AMZN ~$219.78 - 为4个月的时间框架进行定投(DCA)。 Figma ~$52.65 - 之前跌了4-5%，预计它会恢复。利润率在10亿美元营收基础上高达90%或类似的离谱数字。有趣的短期交易。 RKLB ~ $46.29 - 在$43 -> 53之间有趣的波段交易。 CRDO ~ $142.21 - 只是觉得它可能在10月反弹，定投(DCA)。 BTC ~ $109.5k - 不太在意+-5k的波动，这是为了长期持仓。 KLAR ~ $39.95 - 有趣的波段交易。 ETOR ~ $40.95 - 难以置信的低估lol。我可能会持有这东西$1M，而价格就保持不变。 当然，还在ORCL、CIFR、NBIS、IREN等股票上卖出了虚值(Out of the Money)的周权备兑看涨期权(Covered Calls)。
英文原文
Apart from ORCL, $NBIS, $IREN, $CIFR today these were some fun (short term) portfolio adds/trades and entries if you were curious + tiny bit of my reasoning: GEMI ~$23.9 - fun short term swing trade +- ~5% all the time. Overvalued though MC wise. AMZN ~$219.78 - DCA for 4 month timeframe. Figma ~$52.65 - was down like 4-5%, just expected it to recover. Profit margins are like 90% or something stupid off 1B revenue. Fun short term trade RKLB ~ $46.29 - fun swing trade between $43 -> 53. CRDO ~ $142.21 - Just thought it might rebound in Oct, DCA BTC ~ $109.5k - don't really care about +-5k too much, this is for long term positions. KLAR ~ $39.95 - fun swing trade ETOR ~ $40.95 - incredibly undervalued lol. I might end up with $1M of this thing and it will just stay the same price. And of course sold weekly covered calls on ORCL, CIFR, NBIS, IREN, etc... for way out of money strikes.
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定投ORCL并买入看涨期权，看好其远期营收潜力。
对 $ORCL 头寸进行定投(DCA)。在股价下跌 2.4% 时买入了一些 $284 的看涨期权(Call Options)。 可能会看到持续至 10 月初的抛售，但考虑到与 OpenAI、TikTok 等合作带来的巨大远期营收潜力，我认为风险收益比(Risk/Reward)是值得的。
英文原文
DCA's into $ORCL positions. Bought some calls $284, on the 2.4% drop. Could see extended selloff into very early October but too much forward rev potential with OpenAi, TikTok, etc so risk/reward is worth it imo https://t.co/wY2iMVK43u
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博主因回调诱惑买入甲骨文看涨期权
@__visionxry__ 我最终买入了 $ORCL 看涨期权 lol，回调太诱人了 https://t.co/WOE1qNbq7I
英文原文
@__visionxry__ I ended up buying $ORCL calls lol, dip was too tempting https://t.co/WOE1qNbq7I
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指出$ORCL隐含波动率高，否则考虑买入看涨期权。
@__visionxry__ $ORCL 目前的隐含波动率(IV)也相当高。对于这家巨头来说，短期隐含波动率达到50%就算高了，否则我会在这个价位买入看涨期权。
英文原文
@__visionxry__ IV is pretty elevated for $ORCL too right now. 50% short term for that megacap is considered high otherwise I'd buy calls at this level
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类比博通财报后走势，认为甲骨文因OpenAI合作具买入价值
@__visionxry__ 这让我想起 $AVGO 的财报表现，股价先剧烈波动（急涨急跌）持续约一个月，随后迎来猛烈的报复性上涨。目前走势可能更多受期权交易影响，而非基本面。如果按字面意思看待 OpenAI 的合作协议，$ORCL 是一个很好的买入标的。
英文原文
@__visionxry__ Reminds me of $AVGO earnings, spikes, dips for like a month, then face ripping rally. Probably more influenced by options rather than fundamentals at this point. If we go at face value of OpenAI deals, $ORCL is a great buy
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分享9/25市场观点、定投计划及详细投资组合权重。
9月25日的每日思考+市场下跌分析，如果你喜欢我的见解： 1. 三次降息（Triple rate cut）的概率从65%降至56%。这影响很大，因为人们正在提前交易（front-running）降息预期。无论如何，任何降息通常都会带来大量资金流入，因此对几个月后的市场总体看涨。鲍威尔关于市场估值过高的观点在某些股票上确实成立。Oklo、Quantum等严重高估，但我从不做空。甚至像RKLB这样我喜欢的股票也严重高估。但由于通胀，场外资金太多，除了股票、房地产和BTC外别无他物可持。三次降息意味着他们希望“抢椅子游戏”（musical chairs）再持续8个月。我会开始担心明年夏天。 2. 市场过去两天下跌，我会利用这个机会在$Z下跌15%后定投（DCA），或在$NBIS下跌5%后买入AMZN。我仍需研究$CIFR，因此在下跌17.5%后还不能完全有信心推荐（暂时），如果我喜欢它，我可能会隔夜买入。还有很多有趣的标的可以波段交易，比如RKLB。我仍在等待下个月TGT的六位数看涨期权收益，因为11月的股息。大家都在加载AMZN的看涨期权，但像GOOGL一样，它可能会跌至$210->$200的水平，人们放弃后开始一波愚蠢的反弹。这就是为什么我说如果跌更多就换成看涨期权。 3. 大量税务亏损收割（tax harvesting）正在进行。如果你有耐心等4个月，像ETOR、TGT、LULU这样被低估的公司可能会恢复，但显然除非你使用杠杆+期权，否则不会获得600%+的收益。对于耐心的投资者来说，现在是囤货的好时机。 4. 我一直主张在市场放弃时（例如以太坊$1600）在低位买入，而当Bitmine出现新叙事时，在$4k+卖出是好的时机。即使跌至$3.5k我也不会抄底。我对此有一个完整的论点，但留到另一天再说。这与NBIS不同，后者投机性较低，比如一个170亿美元的合同流入一家市值250亿美元的公司，这只是执行+等待的问题。仍在等待LTC，小市值，市场仍定价90%的ETF获批。几个月后LTC可能会有一个新的Bitmine，凭借小市值可以大幅反弹。 5. 我从未见过除了“ thirst traps”（诱惑照）之外，书签数超过点赞数的帖子，所以你们一定喜欢我的投资组合权重！你已经看到我在这里做日内交易：https://t.co/AjTB69Na65，但每次改变头寸都进行喊单有点烦人，所以我更喜欢只发布一般性见解+论点。 6. 市场定价的是远期收入，即使你今天看到NBIS、TSM等下跌，它们基本面很好，可能会继续上涨。
英文原文
So daily thoughts on Sept 25th + market drop if you like my insights: 1. 3x rate cut went from 65% to 56% from data today. This is a lot more material, since people are front-running rate cuts now. Either way, any rate cut usually lead to large inflows so it's generally bullish for markets months out. Powell's thoughts about market being overvalued holds kind of true for certain stocks. Oklo, Quantum, etc. way too overvalued but never short. Even stuff i love like RKLB, really overvalued. But there's too much money flowing on sidelines, nothing else to hold other than stocks, real estate, btc, because of all the inflation. Triple rate cut implies they want to keep musical chairs running for another 8 moths. I'd start to worry around Summer next year. 2. Market droplast two days, I'd use the opportunity to DCA into $Z after 15% drop, AMZN, or $NBIS after 5%. I still need to research $CIFR so can't really full conviction recommend it after a 17.5% drop (yet), if I like it I'd probably buy overnight. Lot of fun things to swing trade like RKLB on the side. I'm still waiting next month for 6 figures in TGT calls, cause of Nov dividend. Everyone's loading AMZN calls now, but like GOOGL it will might drop to levels like $210 -> $200, where people give up then start some stupid rally. That's kinda why I said shares into calls if it drops more. 3. Lot of tax harvesting taking place. If you have the patience to wait 4 months, lot of undervalued companies like ETOR, TGT, LULU, will likely recover but obviously won't net 600%+ gains unless you do leverage + options. Great time to stock up if you're a patient investor. 4. I've always maintained you should buy stuff at the lows when market gives up on it (eg. Ethereum $1600), and when there's a new narrative with Bitmine, it's a good time to sell at $4k+. I wouldn't buy the dip even if it drops to $3.5k. I have a whole thesis on this but I'll save this for another day. This is only different if it's less speculative like NBIS, like a literal $17B contract flowing into a 25B marketcap company and it's just a matter of execution + waiting. Still waiting for LTC, small marketcap, market still pricing in 90% etf approval. There's likely going to be a new BItmine for Litcoin in a few months, and with a small MC can rally quite a bit. 5. I've never seen a post get more bookmarks than likes other than thirst traps, so you all must like my portfolio weighting! You've already seen me day trade here: https://t.co/AjTB69Na65 but it's a little annoying for me to do call-outs every time I change positions so I'd prefer to just post general insights + thesis. 6. Market prices in forward revenue, even if you see stuff like NBIS, TSM and stuff dropping today, they're great fundamentally and will likely keep going up.
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博主分享其包含NBIS等39只标的的具体投资组合权重配置。
我收到了很多关于股票权重的提问。我会构建的投资组合如下： 30% $NBIS 6% AMZN 5.5% TSM 5% BTC 5% LULU 4% UNH 4% $RKLB 4% LTC 3% ORCL 3% TGT 3% GRAB 2% $IREN 2% META 2% HOOD 2% HIMS 2% AMD 2% NVO 1.5% CRDO 1% BITF 1% ASTS 1% SG 1% UPWK 1% MP 1% FOUR 1% ETOR 1% INTC 1% COIN 1% SMCI 1% MRVL 1% DAVE .5% DLO .5% MELI .5% SNAP .5% CRWV .2% ONDS .2% NFE .2% TSSI .2% BKKT .2% GRRR
英文原文
I've been getting a lot of stock weighting questions. A portfolio I'd build would be: 30% $NBIS 6% AMZN 5.5% TSM 5% BTC 5% LULU 4% UNH 4% $RKLB 4% LTC 3% ORCL 3% TGT 3% GRAB 2% $IREN 2% META 2% HOOD 2% HIMS 2% AMD 2% NVO 1.5% CRDO 1% BITF 1% ASTS 1% SG 1% UPWK 1% MP 1% FOUR 1% ETOR 1% INTC 1% COIN 1% SMCI 1% MRVL 1% DAVE .5% DLO .5% MELI .5% SNAP .5% CRWV .2% ONDS .2% NFE .2% TSSI .2% BKKT .2% GRRR
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NVDA与OpenAI互购资产，凸显AI巨头间深度绑定。
@Michael10011001 @AnaCintra24 这一切正在发生：$NVDA 购买价值 1000 亿美元的 OpenAI 股票，OpenAI 购买价值 1000 亿美元的 $NVDA GPU，并承诺向 $ORCL 投入 3000 亿美元，等等。
英文原文
@Michael10011001 @AnaCintra24 It's happening right now with $NVDA buying $100B OpenAI stock, OpenAI Buying $100B NVDA GPUs, promising $300B to $ORCL and so on.
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分享9月精选15只高潜力股票及理想入场点。
我9月份精选的15只由催化剂驱动的股票，按截至2025财年的潜力排序，附解释及理想入场点： 1. $NBIS - 微软(MSFT)合同超170亿美元，稀释基本完成 < $100（现价）。相比 $IREN、$WULF 或 $BTBT 我更看好这只。 2. $HIMS - 42%的做空比例。来自欧盟的新增客户超120万。若有意外消息可能涨至$100 < $45 3. $LTC - ETF即将推出 + LTC储备 < $120（现价） 4. $RKLB - 中子号火箭将于2026年初发射 < $42 5. $TSM (看涨期权) - 市值持续增长至1.8万亿+，资本支出惊人。< $265（现价） 6. $ETOR - 随着 $HOOD、$IBKR 等金融科技股起飞，该股被低估。在当前价位下，我首选它而非 $DLO 或 $DAVE < $48（现价） 7. $LULU - 受假日消费提振，短期反弹至年底，超卖状态 < $165（现价） 7. $MRVL - 健康的45-55%同比增长，财报后遭不公平惩罚 < $70（现价） 8. $SG - 值得投资以博取反弹。去年股价$45。 < $9（现价） 9. $TSSI - 服务器机架（如 $SMCI、$DELL）正在追赶AI热潮的其余部分。 < $13.5 10. $ASTS - 像 $OPEN 一样的“邪教”级股票 < $38.5 11. $CRDO - 追赶 $ALAB 至380亿美元市值 < $125 12. $RUM - Charlie Kirk及保守派人士有望推动平台参与度至年底。 < $7.25 13. $AMZN (看涨期权) - AWS... 跟随 $ORCL 及其他数据中心财报表现 < $215 14. $SMCI - 2026年远期营收330亿美元。市值240亿美元哈哈。只要一份好财报就能起飞。$45（现价） 15. $IBIT (1年期LEAPS) - 鉴于美元超发，纯比特币敞口。不要 $MSTR 或 $BMNR，只要纯资产ETF < $112.5k 我还有什么遗漏的吗？
英文原文
My top 15 catalyst driven stocks from September sorted by potential to FY 2025, explanation, and ideal entry points: 1. $NBIS - 17B+ MSFT contract, dilution mostly finished < $100 (now). I like this over $IREN, $WULF, or $BTBT 2. $HIMS - 42% Short interest. 1.2M+ customers coming in from EU. Could up to $100 on surprise news < $45 3. $LTC - ETF launch soon + LTC reserves < $120 (now) 4. $RKLB - Neutron Launch early 2026 < $42 5. $TSM (calls)- Keep growing to 1.8T+ MC, capex spend insane.< $265 (now) 6. $ETOR - Undervalued with fintechl ike $HOOD $IBKR taking off. I'd prefer this over $DLO or $DAVE at current prices < $48 (now) 7. $LULU - Short term bounce to year end from holiday consumer spending, oversold < $165 (now) 7. $MRVL - Healthy 45-55% Y/Y, unfairly punished after earnings < $70 (now) 8. $SG - Worth the investment for bounceback. $45 last year. < $9 (now) 9. $TSSI - Server racks like $SMCI, $DELL catching up to rest of AI boom. < $13.5 10. $ASTS - Cult like stock like $OPEN < $38.5 11. $CRDO - Catchup to $ALAB at $38B MC < $125 12. $RUM - Charlie Kirk + conservatives likely to drive engagement to platform EOY. < $7.25 13. $AMZN (calls)- AWS... Follow $ORCL and other datacenter earnings < $215 14. $SMCI - 33B forward revenue 2026. 24B market cap lol. One good earnings and it pops off. $45 (now) 15. $IBIT (1Y leaps) - Pure BTC given USD printing. No $MSTR or $BMNR, just pure asset ETF < $112.5k Anything else I'm missing?
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对比 Oracle 与微软在 AI 领域的交易确定性，质疑 OpenAI 支付能力。
@taleino93 @unusual_whales 我真的不知道 $ORCL 该往哪个方向走。Oracle 的交易对象是 OpenAI，而 OpenAI 甚至没有 3000 亿（美元）的体量。$MSFT 与 $NBIS 的交易已确认金额为 170 亿美元，鉴于微软的背景，NBIS 被低估了。时间会证明 OpenAI 能否支付得起。
英文原文
@taleino93 @unusual_whales I genuinely don’t know which direction to go with $ORCL. Oracle’s deal was with OpenAi, which doesn’t even have 300B. $MSFT deal with $NBIS is is confirmed with $17B, since it’s Microsoft so NBIS is undervalued. Time will tell if OpenAI can pay up.
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建议买入垄断且低估的台积电，因其他AI股均依赖其代工。
如果你在纠结 $ORCL 对比 $AMZN | $GOOGL，$AMD | $AVGO 对比 $NVDA，$NBIS 对比 $IREN 对比 $WYFI 对比 $CRWV 这很简单。直接买入 $TSM，上述所有公司都依赖于它。 估值偏低且拥有垄断地位，基于未来增长 + 边缘推理(Edge Inference)的资本支出，市值有望从 1.3 万亿美元 -> 1.8 万亿美元。
英文原文
If you're debating $ORCL vs. $AMZN | $GOOGL, $AMD | $AVGO vs. $NVDA, $NBIS vs. $IREN vs. $WYFI vs. $CRWV It's easy. Just buy $TSM, everything above is dependent on it. Undervalued and a monopoly, will likely run from $1.3T -> $1.8T MC based on forward growth + capex from ERs.
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建议持有 $TSSI 以捕捉半导体牛市红利，预期单日涨幅超 10%。
如果你正考虑在 $TSSI 上获利了结，请记住该股在稀释前曾达 $30，且目前半导体牛市势头强劲，涉及 $SMCI、$TSM、$AVGO、$IREN、$NBIS、$WYFI、$NVDA 和 $ORCL。若涨势持续，单日涨幅可能超过 10%。
英文原文
If you’re thinking about taking profits on $TSSI, just remember the stock was $30 before dilution and there’s a huge semi bull run with $SMCI, $TSM, $AVGO, $IREN, $NBIS, $WYFI, $NVDA and $ORCL. Could see it go up 10%+ a day if the run continues. https://t.co/ks67hMAi01