$ORCL
观点汇总
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博主 Serenity 对 ORCL 的核心论点经历了从“看好远期营收”到“警示执行风险”的演变。初期，他因 ORCL 与 OpenAI 的巨额合作及 TikTok 股权而将其列为买入标的，认为其具备类似 AVGO 的财报后反弹潜力，并曾通过定投看涨期权建仓。然而，随着 ORCL 在 GPU 即服务业务中暴露出负毛利率、低利用率及建设亏损等问题，他的观点发生根本性逆转。他指出，ORCL 的困境验证了全栈软件编排和客户多元化才是核心护城河，而传统超大规模云厂商在此方面存在瓶颈。基于此，他最终将 ORCL 从“买入”降级为“减仓”对象，认为其利润率劣势使其不如拥有高毛利率和软件优势的 Neoclouds（如 NBIS），并明确表示将资金从 ORCL 转移至更具不对称上行潜力的标的。
相关推文
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AI供应链多环节瓶颈与涨价，AMD光互连及存储需求强劲。
一些新闻摘要(TLDR)： - 如果你看好中国存储，$CXMT 明天 IPO。 - 三星电子据报在获取大型 FC-BGA 基板方面遇到困难。伊比登(4062)据报要求长期协议(LTA)担保，三星电机寻求预付款。 - 三星 + $AVGO 签署至 2030 年的存储 + 代工 AI 框架，预计超过 2000 亿美元。 - $SOI 预计 2027 财年硅光子学收入将比上一年翻倍，超越摩根士丹利 60% 的增长预测。光子学逻辑起飞。 - SK 集团 + $NVDA 签署 5000 亿美元+ 合作伙伴关系，建设 AI 数据中心和 HBM4 内存。 - 据报 SKC Absolics 玻璃芯延迟至 2027 年。目标年底完成最终可靠性测试，明年量产。所以如果你好奇，这确实推迟了 $LPK 和其他人的爬坡（因此财报后下跌）。 - $QCOM 智能手机处理器价格因上游供应商涨价而两位数上涨。 - $META 预计发行 120 亿美元项目级/SPV 融资用于德克萨斯州埃尔帕索 AI 数据中心扩建。 - Naver 宣布 $NVDA 和 Brookfield 投资 100 亿美元建设 1GW 级 AI 工厂。近期计划是 2028 年达到 200MW。（英伟达投资 10 亿美元，Brookfield 非约束性 90 亿美元） - 64GB DDR5 服务器模块较 6 月底合约价上涨 146% - $INTC 将 14A 工艺量产提前一年，2027 年下半年风险生产，2028 年量产，相比此前 2029 年 HVM 预期。 - 三星电机赢得 2 亿美元 MLCC 订单（现有瓶颈）。 - $AMD（班达纳瓶颈），宣布 Helios 全面生产，2026 年 Q3 出货。包括与 Anthropic 部署高达 2GW 的 MI455X GPU 和与 OpenAI 的 6GW 基础设施。给出新的 >50% CAGR TAM，从 2025 年的 260 亿美元增至 2030 年的 2200 亿美元 CPU 市场。 - 2027 年为 Mi500 推出光互连。据渠道检查，AMD 正走向 CPO 路线（似乎很可能使用 Ayar）。 - $ORCL 赢得 70 亿美元国防部企业软件合同 - JX 金属将其韩国子公司半导体目标产能翻倍，投资 40 亿日元，2027 年下半年开始运营，应对三星电子和 SK 海力士等主要客户需求激增 - 钨六氟化物现货价格同比飙升 2.1-2.5 倍，继日本关东电化和中央气体宣布永久停产之后。随着 3M 计划退出 PFAS 生产，氟化液体供应面临真空。 - 从四家光芯片制造商财报来看，源杰/Eoptolink/TFC Optical/东山精密：无重大订单削减，1.6T 出货预计加速进入 2027 年。光芯片供应商预计将从短缺中获取超额利润。 - 宇树科技目标 2026 年人形机器人产能 30,000 台。阅读人形 TAM 像 $CCXI 等一样扩展。 - 储能锂电池订单上半年在中国增加 2900%。不太熟悉 EVE Energy 和其他电池制造商。
英文原文
Just some TLDR news: - $CXMT IPO tomorrow if you like Chinese memory. - Samsung Electronics reportedly struggling to secure large FC-BGA substrates. Ibiden (4062) reportedly requested LTA guarantees, Samsung Electro-Mechanics sought prepayments. - Samsung + $AVGO sign memory + foundry AI framework through 2030, expected to exceed $200b - $SOI expects FY2027 silicon photonics revenue to double compared to the previous year, surpassing Morgan Stanley's 60% growth projection. Photonics thesis go brrr. - SK Group + $NVDA sign $500B+ partnership to build out AI DCs and HBM4 memory. - SKC Absolics glass core delay to 2027 from reports. Targeting final reliability testing EOY, mass production next year. So if you're curious, this does push back some ramps from $LPK and others (hence drop on ER). - $QCOM price hikes by double digits for smartphone processors, due to upstream supplier hike pricing. - $META expected to issue $12B in project-level/SPV financing for El Paso, Texas AI DC expansion - Naver announced a $10 billion investment from $NVDA and Brookfield to construct a 1GW-scale AI Factory. Near term plan is 200MW by 2028. (Nvidia $1B investment, Brookfield nonbinding $9B) - 64GB DDR5 server modules rises 146% versus end-June contract pricing - $INTC brought forward 14A process mass production by a year, risk production H2 2027 and volume production in 2028, vs. 2029 HVM expectations. - Samsung Electro-Mechanics wins $200m MLCC order (existing bottleneck). - $AMD (the Bandana bottleneck), announces Helios is in full production with shipments Q3 2026. Including an up to 2GW MI455X GPU deployment with Anthropic and a 6GW infrastructure rollout with OpenAI. Gave new >50% CAGR TAM to $220B by 2030 from $26b in 2025 for CPU market. Rolls out optical interconnects for Mi500 in 2027. From channel checks, AMD is heading down to the CPO route (seems likely to use Ayar). - $ORCL wins $7B Department of War enterprise software contract - JX metal doubles semi target capacity at its KR subsidary with a 4B yen investment, with operations to begin H2 2027, amid surging demand from major customers Samsung Electronics and SK Hynix - Tungsten hexafluoride spot prices surged 2.1-2.5x Y/Y following Japan's Kanto Denka and Chuo Gas announcing permanent production halts. Fluorinated liquid supply faces a vacuum as 3M plans to exit PFAS production. - From the four optical chipmaker earnings, Yuanjie/Eoptolink/TFC Optical/Dongshan Precision: no major order cuts, 1.6T shipments expected to accelerate into 2027. Optical chip suppliers expected to capture outsized margins from shortages. - Unitree Robotics Targets 30,000 Humanoid Robot Production Capacity by 2026. Read through on humanoid TAM scaling like $CCXI and others. - Energy storage lithium batteries orders increase first half orders by 2,900% apparently in China. Not as familiar with EVE Energy and other battery makers.
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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.