$ASML
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深度分析光子学供应链四只股票，强调TAM扩张和垂直整合逻辑，认为是长期核心持仓而非短期交易
当我看到像这样（而且很多）的来自散户投资者的评论时，我立刻认为他们缺乏技术深度。 我来逐一分析从$SIVE到$LPK的每家公司： 1. 光子学TAM（总可寻址市场）从$140亿增长到$1540亿，仅仅两年时间，而且它很可能会在2030年之后继续增长，因为它是下一代架构的首选。 它不会在1年内消失。它不会在3年内消失，这就是为什么$LITE的溢价越来越高，因为他们已经排产到2028年了。 $SIVE供应CW（连续波）激光器，高度绑定CPO（共封装光学）和现在的可插拔收发器，用于1.6T和3.2T... 适用于像$JBL、Ayar、Lightmatter、Lightelligence、$POET、$MRVL、Celestial和$AMD这样的预期公司。 这不是一个"交易"，它是下一代光子学的核心瓶颈和IP持有者。 而且作为未来几年的舒适持仓是很合适的，因为他们正在扩展成为下一个$LITE。 我个人看到的风险（既然他们已经与这么多玩家完成认证），主要是他们能从整体光学超级周期中捕获多少TAM（市场空间）。（以及Win Semi产能爬坡的潜在风险，但Win体量很大所以我可以放心睡觉）。 因为仅仅供应激光器不足以支撑估值。 是TAM向下扩展到制造整个ELS（外部激光源）或整个可插拔收发器，才让这些激光器公司如此有价值。 之后，他们可以向上垂直整合以扩大毛利率，像$COHR那样做激光代工甚至衬底级别的业务。 在我看来，这是非常不对称的风险/回报比，因为我们已经在$LITE身上看到过——他们从$20亿增长到$800亿。 2. $LPK——是下一代先进封装转向玻璃基板的最纯粹敞口，没有SKC Absolics混乱的财务问题。 几乎每家主要半导体公司从$INTC到三星都在采用玻璃基板。 $LPK基本上就是该瓶颈的$ASML，因为他们目前供应给全球约80%的玩家。 是的，设备供应商有"贸易周期"，比如$ASML，如果有更多晶圆厂资本支出，ASML就会增长。但如果出现低迷，这些往往表现不佳，也无法捕获之后发生的所有量产出货。 然而，如果市值是$6.5亿，他们正在实现$1-2亿收入，随着每个客户的量产出货增长，他们从玻璃基板周期中获得的收益可能会超过当前估值。 而且他们会有基本面支撑（因为越来越多的公司采用封装转型），这会维持他们的估值。 现在只是等待产能爬坡的时机而已。 3. $AAOI——这简直就是美国版的光子学$INTC。可以说Intel不是长期投资。 猜猜你们所有的光收发器是在哪里制造的？ 中国、泰国、马来西亚。如果你看看Innolight、Eoptolink、$FN和其他公司。 AOI正在建设最大的美国本土供应链，包括CW激光器代工以及800G、1.6T组装。 是的，这也有可插拔周期起伏。明年会有1.6T的浪潮，然后CPO会蚕食可插拔市场。 但由于他们在内部制造整个供应链，他们对其他细分市场有极大的选择性。而且像$NVDA的老一代GPU一样，会有主权数据中心对老一代可插拔收发器的需求，来自像$AAOI这样的厂商。 它很可能会继续上涨，因为它在2026年下半年达到每月$4亿+收入的目标。 一路上有很多不同的短期波动，比如$6亿的稀释。 4. $IQE——？？？这是西方世界最重要的外延晶圆玩家之一。 $MTSI不遗余力地偿还了IQE的债务，因为他们不能让IQE倒闭。$IQE还向$LITE供货。 目前世界在 Landmark评论提到的外延晶圆水平和InP衬底水平都存在瓶颈。 他们的财务数据虽然糟糕，但从原始账面价值和他们在整个西方供应链中的价值来看……完全支撑他们的估值。其他光学公司不会让他们核心的上游供应链倒闭。 因为这些价值数千万美元的材料出问题，会搞砸下游价值数十亿美元的产品。 再次强调，光子学是扩展AI所需的下一代架构。不是量子计算那种"还在开发中"的东西。 它就在这里，而且是$NVDA选择的架构。 如果几年后这些都涨了很多，我一点也不会惊讶。 那些认为"只是因为我提到了"就在3个月内一波流的 people，根本不知道他们在说什么。 机构最终会买入这些标的（就像Point 72买入$IQE那样），散户只会在估值已经涨了600%之后才知道。 真的应该在发表评论前做好研究： 这些都是需要深入供应链知识的前瞻性增长公司。
英文原文
When I see comments like this (and there are a lot) from retail investors: I immediately think they lack the technical depth. I'll walk through each one from $SIVE to $LPK: 1. Photonics TAM goes from $14B -> $154B In just two years time, and it's likely going to keep scaling past 2030 as it's the next generation architecture of choice. It's not going away in 1 year. It's not going away in 3 years, which is why $LITE premiums keep going higher since they're backlogged into 2028. $SIVE supplies CW lasers and is highly tethered to CPO and now pluggable transcivers for 1.6T and 3.2... For expected companies like $JBL, Ayar, Lightmatter, Lightelligence, $POET, $MRVL Celestial, and $AMD. This isn't a "trade", it's the core chokepoint and IP holder for the next generation of photonics. And it's a comfortable hold for the next few years as they scale to become the next $LITE. The risk I personally see (since they're already qualified with so many players), it's mainly how much TAM they can capture of the overall optical supercycle. (And potential risks with Win Semi volume ramp, but Win is massive so I can sleep tightly there). As just supplying lasers isn't enough to justify valuation. It's TAM expansion downward into making the entire ELS or entire pluggable transceiver that makes these laser companies so valuable. Then afterward, they can vertically integrating upward for gross margin expansion upward like $COHR into doing the laser fabs or even substrate level. And that in my view is a very asymmetric risk/reward ratio as we've already seen this done with $LITE as they went from $2B to $80B. 2. $LPK - Is the purest exposure, without the messy financials of SKC Absolics, as the next advanced packaging shift for glass substrates. Almost every single major semi company from $INTC to Samsung are adopting glass substrates. $LPK is basically $ASML of this chokepoint, since they supply to ~80% of the global players currently. Yes, there's "trade cycles" for equipment suppliers like $ASML, where if there's more foundry capex, ASML scales up. But if there's downturns, these tend to perform poorly, and don't capture all the volume ramp that happens after. However, if the MC is $650m and they're making $100-200M, revenue per costumer volume ramped, the amount they make from the glass substrate cycle will likely exceed current valuations. And they'll have baseline fundamentals (as more companies adopt the packaging shift), that keeps their valuation up. It's just a waiting game for volume ramp at this point. 3. $AAOI - This is literally $INTC but for America + Photonics. It's like saying Intel is not a long term investment. Guess where all your optical transcivers are made? China. Thailand. Malaysia. If you look at Innolight, Eoptolink, $FN, and others. AOI is building the largest Made in America supply chains for both CW laser fab, as well as 800g, 1.6T assembly. Yes, there are pluggable cycle ups and downs to this as well. There's going to be a wave for 1.6T next year, then CPO cannibalizes pluggables down the road. But since they make the entire supply chain in house, they have extreme optionality for other segments. And like $NVDA older gen-GPUs, there's going to be sovereign DC requirements for older gen pluggables from names like $AAOI. It's likely going to keep rising as it hits that $400m+/month revenue target H2 2026. There's just a lot of different short term volatility along the way like the $600m dilution. 4. $IQE - ??? It's one of the most important players in the Western word for epiwafers. $MTSI went out of their way to pay off IQE's debt because they can't have them going under. $IQE is also supplying to $LITE. The world is currently bottlenecked both on the epiwafer level from Landmark comments and InP substrate levels. Their financials were track but the raw book value, and value they hold to the entire Western supply chain... completely justifies their valuation. And other optical companies will not let their core upstream supply chain go under. As these tens of millions worth of materials would screw up tens of billions worth of downstream products. Again photonics is the next generation architecture required to scale AI. It's not Quantum where it's just "In development". It's literally here and the architecture of choice by $NVDA. I would not be surprised if all of these are a lot higher in 3-4 years time. People who think it's one and done in 3 months time "only because I mentioned it" don't know what they're talking about. Institutions would have bought up the name eventually (like Point 72 on $IQE) and retail would only find out after their valuations are 600% higher. Should really do the research before adding comments like these: These are all forward growth companies that require in-depth supply chain knowledge.
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说自己更愿意持有周期型设备股到 H2 2027
对我来说，大概会持有到 2027 年下半年开始。 我不喜欢长期持有像 $ASML、$AIXA、甚至 $TOWA 这种设备卖方。 垄断通常是例外，因为它们能保住估值，还能继续上行。 但大多数时候，它们主要吃的是周期的开始和中段，之后就会在下一轮周期前回落。现在通常是进入 GCS 爆发前的好时点。
英文原文
For me, probably until start of H2 2027. I don't like long term holding equipment sellers like $ASML, $AIXA, even $TOWA etc.. Monopolies are usually exceptions since they retain valuations + keep going higher. But they mainly benefit from the start-middle of cycles, then fall off until the next cycle begins. But now's usually a good time before the GCS ramp.
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MSSCorps 在 CPO 检测上像垄断
我现在做多 MSSCorps（6830），市值大约 14 亿美元。 这看起来像是 CPO 检测环节的功能性垄断。 但市场可能把它和材料/失效分析混淆了，后者更像 MA-tek 和 iST 那样的寡头格局。 按客户映射来看： 1. $TSM 2. $NVDA 3. $AAPL 4. $AMAT 5. $LRCX 6. $ASML 7. $INTC 还有很大概率包括 $AVGO、联发科、三星、$MRVL 等等（他们也提到了欧盟）。 如果你感兴趣： - 台北时报把 TSM 说成是客户，Msscorps 为其提供先进材料和失效分析，还点名了苹果、英伟达、Lam、AMAT（也感谢 Latent 和我一起做尽调。英伟达那边还有通过 LinkedIn 之类看到的其他供应链关系） - 对 $AMSL 而言，《台北时报》在 2024 年 9 月 10 日写到：“ASML 采用了 Msscorps 超高灵敏度的光刻胶材料分析” - 对英特尔来说，材料分析实验室 MSSCORPS 已经拿下了英伟达和英特尔等大厂的订单（工业技术研究院） 至于检测（非破坏性红外漏检），他们几乎是垄断。 而且他们还积极使用诉讼（比如 Enli Tech 诉讼）来挡住竞争对手，我把这看成正面因素。 这带来了巨大的定价权和收益率，而且每个主要玩家都要经过他们。 CPO 检测市场也极其关键，和 $AXTI 在 InP 基板环节一样，这种巨大卡点具有纯粹的定价权和提价能力。 风险在于专利诉讼不一定按计划推进，但英伟达和其他超大规模云厂商大概率不会在 MSSCorps 赢了之后去找别家，因为他们不想承担风险。 所以这本身就构成了一个多年期的巨大优势。 超大规模云厂商不会等一个新兴竞争对手证明自己能赢再行动，也不会愿意承担这个风险。 我确实看到了 MSSCorps 因为在 CPO 的关键良率卡点上有机会重估，所以我选择做多（非投资建议，自己做功课），这就是我的思路。
英文原文
I am now long MSSCorps (6830) ~$1.4B MC This appears to be a functional monopoly in CPO for inspection. But markets might have conflated that with Material/Failure Analysis with MA-tek and iST (oligopoly). For customers from mapping: 1. $TSM 2. $NVDA 3. $AAPL 4. $AMAT 5. $LRCX 6. $ASML 7. $INTC And high probability $AVGO, MediaTek, Samsung, $MRVL, and others (they did mention EU too). If you're curious: - Taipei times names TSM as a client that Msscorps provides them with advanced material and failure analysis and name drops Apple, Nvidia, Lam, AMAT (also S/O to Latent for doing DD with me on this. there's other supply chain relationships to Nvidia through things like linkedin) - For $AMSL, Taipei Times, Sept 10, 2024 "ASML adopted Msscorps' ultra-sensitive materials analysis of photoresists" For Intel - Material analysis lab MSSCORPS has secured orders from major manufacturers such as Nvidia and Intel (Industrial Technology Research). For inspection (non-destructive infrared (IR) leakage detection), they're a monopoly. And have aggressively used litigation (like the Enli Tech lawsuit) to lock out rivals, which I view as a positive thing. This creates massive pricing power with yields and every major player goes through them. CPO inspection market is also extremely critical and like $AXTI in the InP substrate section, this massive chokepoint has pure pricing power with price hikes. The risk is the patent suit doesn't go as plan, but Nvidia and other hyperscalers aren't likely to go with other parties in case MSSCorps wins, so this creates a massive multi-year advantage anyway. Hyperscalers aren't going to wait to see how an emerging competitor is going to win or not + take the risk. I do see the massive re-rating potential with MSSCorp holding a critical yields chokepoint over CPO, so I went long (NFA, DYOR), this is just my thought process.
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TOWA 是 HBM4 垄断卡点
所以我就直说了：市值 13.5 亿美元的 Towa（6315）…… 它是 HBM4（压缩成型）上很罕见、活生生的垄断定义。 虽然今年到现在几乎没怎么涨，但像 $MU、SK 海力士、三星这些存储厂商都是他们的客户。而且每一家存储厂商的财报都在指向大幅增加 capex。 就连从 $TSM 的财报也能看出来，所有主要半导体公司都在经历一轮巨额资本开支周期，以满足 AI 需求。 三大存储厂商也都从 HBM3E 和 NAND 里赚得很猛……所以下一轮 capex 周期大概不会像上一轮那样了（意思就是花得会更多）。 像 $ASML 一样，这种东西周期性极强，但我想在未来几个月的 HBM4 capex 爆发里拿到敞口。 我想把这个名字和 $LPK（玻璃核心基板）一起放到大家视野里，因为它们都是功能性垄断。 但我确实觉得现在这个时间点刚刚好，毕竟所有机器供应商都在大幅重估，而它相对还是平的。 这也不算什么新发现，因为之前还有别的分析师和一些随机关注者提过这个名字，但希望我这次把时点抓对了。 （免责声明：我确实持仓，这只是我自己想法的 TLDR，请不要跟单）
英文原文
So just putting it out there: Towa (6315), at $1.35B... Is a rare, living definition of monopoly over HBM4 (compression molding). It's been kinda flat YTD, but every memory company like $MU, Sk Hynix, Samsung are their customers. And each of the memory company earnings signaled massive capex increases. Even as seen with $TSM earnings, every major semi is going through a massive capex cycle to meet AI demand. And all three memory makers have printed from hbm3e and nand... so the next capex cycle is probably not like the last (meaning a lot more spend). Like $ASML, this is hyper-cyclical but I wanted exposure to the upcoming HBM4 capex ramp over these next few months. Thought I'd put this name on people's radar alongside $LPK (glass core substrates) as a functional monopoly. But I do feel like this timing is about right while every machine supplier is having a massive re-rating yet this was relatively flat. Not exactly a new find, since a few other analysts + random followers had this name but hope I get the timing right. (Disclaimer: I do hold positions, this just TLDR of my own thoughts, please don’t copy trade)
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AMD 之外的主要受益者
@northyvt 我觉得除了 $AMD 之外，$TSM 和 OSAT / 先进封装合作伙伴会是主要受益者？ 也许 $AMAT、$LRCX、$KLAC、$ASML 以及其他公司也会受益？ $INTC 也有他们最近回购回来的自有工厂，所以也挺开心的。
英文原文
@northyvt I feel like $TSM and OSAT/advanced packaging partners are the main beneficiaries apart from $AMD? Maybe like $AMAT, $LRCX, $KLAC, $ASML and others too? $INTC also have their own fabs that they bought back recently so it's happy.
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中美AI竞赛驱动半导体供应链全面增长，台积电、ASML数据验证繁荣。
不，继续全速前进。美国和中国两个国家正在竞速，看谁能先在递归自我改进中实现技术奇点。$TSM的财报显示大幅增长，供应链几乎未受干扰（如氦气）。$ASML显示创纪录的资本支出。OpenAI融资超过1200亿美元，因此蔓延恐慌至少还能再持续一年半。像Mythos这样的模型正以惊人的速度不断改进，从中国到美国，所有人都在抢购所有GPU来训练新模型并追赶。每个人都在抢购材料，供应链中那些以前很少使用的零件现在都有了来自AI的大幅增长机会。
英文原文
Nah, full steam ahead. Two nations in US/China are racing to see who can reach the singularity first in recursive self-improvement. $TSM earnings indicated massive growth + little disruption to supply chains (eg. helium). $ASML indicated record capex spending. OpenAI raised $120B+ so contagion fears are gone for another year and half. Models like Mythos keep improving at just astounding rates, and everyone from China to US are soaking up all the GPUs to train new models + catch up. Everyone is soaking up materials and little used parts in supply chains now have massive growth vectors from AI.
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台湾/韩国/Foundry 受益面概览
简单给你个 TLDR，帮你省时间： 1. $ASML、$TSM 财报 = 前景不错。半导体 + capex 起飞。 2. Opus 4.7 + Anthropic 起飞。软件股就很惨。 3. 三星起飞，部分原因是 $TSLA 的 AI 芯片。 4. $UMC = 代工涨价。foundry 起飞。 5. 训练在中国起飞。H100 租赁价格上升，neocloud 也开心。 6. 氦气短缺 = 影响不大……我之前已经说过很多次了，但我不确定 $TSM 还要再说多少遍。 7. MLCC、电感价格 = 涨价。受益者我后面再展开。 8. “台湾的 OSAT 扩张可能会收紧全球测试产能并推高成本” 我最近做多了像 Shunsin（6451）这样的台湾 OSAT，有原因的。需求会继续跑赢供给，即使扩产也是一样。（cowos、sip、光学）
英文原文
Just some TLDRs to save you time: 1. $ASML, $TSM earnings = Good Outlook. Semis + capex go brrr. 2. Opus 4.7 + Anthropic go brrr. Software = sad. 3. Samsung go brrr because of partly bc of $TSLA AI Chips. 4. $UMC = price hike for foundry. foundries go brrr. 5. Training = brrr in China. H100 rental increase go up. Neoclouds happy. 6. Helium supply shortage = not significant... I've already said this before, but I'm not sure how many times $TSM needs to say this. 7. MLCC, inductor prices = price hike. Will cover beneficiaries later. 8. "Taiwan's OSAT expansion could tighten global test capacity and raise costs" I went long on Taiwan OSATs recently like Shunsin (6451) for a reason. Demand will just outstrip supply, even after expansion. (cowos, sip, optical).
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量子点激光投资应优先选择MBE设备供应商如Riber，比下游纯激光公司更早受益于超大规模云厂商资本开支周期。
如果你想交易超大规模云厂商的资格认证周期……以及像QD Laser（TYO: 6613）这样年内涨幅达226%的量子点激光：IMO最安全的方式是在早期就关注他们未披露的MBE机器供应商，如$ALRIB。然后当他们从资格认证阶段转向批量订单时，再转向纯激光公司。我之前提到过，$MSFT量子的Riber未披露的超大规模云厂商客户。但QD Laser（越来越受欢迎）在量子点项目上也严重依赖Riber。我不看好进入批量生产阶段（比如$AIXA对比实际的批量生产商），因为设备厂商无法捕获下游收入。但如果你想从资本开支研发周期中获益……比如QD Laser吸收资本开支成本（支付给Riber）来建设产能，$ALRIB、$ASML、$AIXA这类公司的财务数据通常会更早反映在资产负债表上，所以你不需要等2-3年才看到生产订单。
英文原文
If you want to trade hyperscaler qualification cycles… And quantum dot like QD Laser (TYO: 6613) up 226% YTD: IMO safest way to do it are their unknown MBE machine suppliers like $ALRIB early on. Then pivot to pure play lasers later when they move from qualification -> volume orders. I mentioned earlier $MSFT quantum was Riber’s undisclosed hyperscaler customer. But QD laser (getting popular) is heavily reliant on Riber too for their quantum dot program. I’m not a fan when it comes time to volume production (eg. $AIXA vs the actual volume producers) since machines don’t capture downstream revenue. But if you want to benefit from capex R&D cycles… eg. QD Laser absorbing capex costs (paying Riber) to build capacity $ALRIB, $ASML, $AIXA type companies usually hits the balance sheet much earlier so you don’t need to wait 2-3 years for production orders.
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认为美国应先稳固盟友供应链，再统一武器化对抗中俄。
到底是谁在写这些东西？ 我们不需要对日本、欧洲或韩国这些盟友施加更多杠杆。 我们需要把杠杆用在俄罗斯和中国身上。 - 在东南亚，老挝超过 40% 的加油站已经关闭， - 柬埔寨和泰国已经开始限量和价格管制， - 印度、巴基斯坦和孟加拉都在面对价格上涨和紧急节约， - 韩国 / 日本仍然暴露在供应中断风险里。 中国现在完全可以从俄罗斯拿石油，而俄罗斯的出口管制还被解除了…… 而中国现在的做法就像一战时美国那样在做军火商。 为什么我们要为了帮助俄罗斯 / 以色列，反过来搞砸我们自己的供应链？ 他们之所以叫盟友是有原因的，我们不需要再对他们施加更多杠杆。 如果你真想把这套东西武器化： -> 先确保自己的供应链，先把资金投到越南 / 南美等地的稀土和前驱材料上 -> 再把资金投到韩国 / 日本 / 加拿大 / 美国的精炼加工上 -> 先在委内瑞拉开发原油 / 加工能力 -> 再建立替代贸易路线： 这至少要 3-5 年。 然后你才可以去轰炸什么、去威胁欧洲的 $ASML、日本的 $ARM、美国的 $NVDA、台湾的 $TSM 这类对中国 / 俄罗斯的瓶颈。 总之： 美国优先依赖于： - 在泰国做好自身组装供应链， - 在韩国做好半导体， - 在日本做好化工， - 在台湾做好晶圆代工， - 在加拿大做好稀土， - 在欧洲做好高端设备， 还有其他环节，来让美国更强。 然后再把这一切统一武器化去对付我们的敌人。 你不能一边把我们自己的供应链和全球关系全炸了，一边又说美国正在变得更强大吧？
英文原文
Who is even writing this? We don't need more leverage over our allies like Japan, Europe, or South Korea. We need them over Russia and China. - In SEA over 40% of gas stations in Laos have closed, - Cambodia and Thailand have started rationing and price controls - India, Pakistan and Bangladesh face rising prices and emergency conservation - SK/Japan remain exposed to disruptions. China can get just get their oil from Russia. And Russia got their export control removed... And China is playing arms dealer like what US did in WW1 right now. Why are we screwing over our own supply chains to help Russia/Israel out? They're called allies for a reason, and we don't need more leverage over them. If you really wanted to weaponize this: -> Secure supply chains first, pour funding into rare earths/precursors like Vietnam/South America and other places. -> Pour funding into refinery processing from SK/Japan/Canada/US -> Develop crude/processing in Venezuela First -> Build out alternative trade route: Which will take 3-5 years min. Then you can go blowing stuff up then go threatening European $ASML, Japanese $ARM, US $NVDA, Taiwan $TSM type chokepoints over China/Russia all together. Again: America First relies on: -securing own supply chains in Assembly Thailand, -Semiconductors in South Korea, -Chemical from Japan, -Foundries in Taiwan, -Rare Earths from Canada, - high-end equipment from Europe and others to make United States stronger. Then you weaponize that all together against our enemies. You can't just blow OUR OWN SUPPLY CHAINS and Relations around the world up then say America is becoming more dominant?
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开玩笑说如果 ASML 只要 6 亿美元就能买下来，那就太值了。
@Huntsman7615 如果能用 6 亿美元买下 $ASML，谁会不报名呢？
英文原文
@Huntsman7615 Is it possible to buy $ASML for $600m? Sign me up
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认为美国企业采购瑞典激光供应商很有意思，欧洲高技术并不意外。
@Sofigoodboy 看到美国企业正在使用像瑞典的 $SIVE 这样的尖端激光供应商，供应链这件事真的很有意思！ 不过欧洲本来就以像 $ASML 这样的顶尖技术著称，所以这也不算特别意外。
英文原文
@Sofigoodboy 미국 기업들이 스웨덴의 $SIVE 와 같은 최첨단 레이저 공급업체를 이용하고 있다는 사실을 보면 공급망이란 정말 흥미롭습니다! 하지만 유럽은 $ASML 처럼 뛰어난 기술력을 보유한 것으로 잘 알려져 있으니, 그리 유별난 일도 아니지요.
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指出美国在InP衬底、人形机器人、高端半导体等领域严重依赖外国供应商，无法自给自足。
这在事实上并不正确，而这正是我们陷入困境的完全相同的原因。 美国完全依赖日本/中国。例如：用于AI光子学的InP（磷化铟）原料/衬底。 美国依赖中国制造人形机器人的机体。 美国通过一些关键瓶颈点依赖俄罗斯/其他对手（不会透露具体名称，因为涉及国家安全风险）。 美国依赖台湾/韩国制造高端半导体。 美国依赖欧洲制造高端机器（$AXIA、$AMSL类型）或特定衬底（$SOI）。 再次强调，供应链是相互关联的。这种观点正是当前政府认为自己掌握了所有牌的精确原因。 请列举一家能够供应AI所需InP衬底足够原材料的美国公司。 请列举一家今天能够完全替代$ASML的美国公司。 你做不到，因为它们还不存在。
英文原文
This is factually not true and this is the exact same reasoning why we're in this mess. US is completely reliant on Japan/China. eg. InP feedstock/substrates for AI with photonics. US is reliant on China for manufacturing bodies of humanoids. US is reliant on Russia/other enemies (won't disclose specific names since it's national security risk) through some niche chokepoints. US is reliant on Taiwan/Korea for high end semiconductors. US is reliant on Europe for high-end machines ( $AXIA, $AMSL type) or specific substrates ( $SOI ). Again, supply chain is interconnected. This type of take is the exact reason why the current administration thought it had all the cards. Name one US company that can supply enough raw feedstock required for InP substrates for AI. Name one US company that can completely replace $ASML today. You can't because they don't exist yet.
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把 AIXA 比作光子领域的 ASML，承认其受益于资本开支周期，但自己并未持仓。
$AIXA 就像光子领域里的 $ASML，吃到了今年一轮大型资本开支周期。 即便如此，我个人也没有持仓，因为我不太喜欢半导体供应链里的设备卖家。 它们确实能明显受益，但大多数最大的受益者其实是那些可能借瓶颈抬价的公司，比如 $SNDK。 而在当前周期里，更像是 $LITE 这种 EML，或者像 $AXTI 这样的基板材料受益者。哪怕现在价格还没怎么上调。
英文原文
$AIXA is like the $ASML for photonics and captures a large capex cycle this year. Even so, I personally don't have positions, since I'm not a fan of equipment sellers in semi supply chains. That benefit materially, but most of the largest beneficiaries are the likely bottleneck price-hikers of the world as seen with $SNDK. And in current cycles that's EML like $LITE or substrates like $AXTI. Even though there haven't been much price hikes yet.
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表示不熟悉 M7U，但会研究一下，并说明自己通常不太喜欢 ASML 型设备卖家。
@Iamgerman__ 我以前没听说过 $M7U，不过我之后会去看看。通常我不太喜欢像 $ASML 这类的设备卖家，比如 $AIXA，但我喜欢你的思路！
英文原文
@Iamgerman__ I've never heard about $M7U before, but I'll take a look at it later. Typically not as much of a fan of $ASML type equipment sellers like $AIXA, but I like your thought process!
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列出 AI Displacement 等权组合年初至今回报，认为自己无意中做出了一个很强的 ETF。
我看了一下书签数量，才意识到： 我低调地搞出了一个很能打的 ETF？ AI Displacement 等权组合年初至今： $AXTI：+191.53% $AAOI：+144.47% $SNDK：+140.38% $SOI：+114.3% $LITE：+61.22% $AEHR：+60.97% $BE：+56.56% $VRT：+47.42% Samsung：+42.8% $TER：+37.99% $MU：+35.1% SK 海力士：+34.42% $NBIS：+25.57% $COHR：+24.92% Mediatek：+17.01% $INTC：+16.23% $ASML：+15.63% Advantest：+11.78% $TSM：+5.85% $COPX：+4.56% $TSEM：+2.44% $MRVL：-1.71% $NVDA：-4.55% $AVGO：-7.32% 这只是我脑子里第一时间想到的名字。 我个人持有其中很多，也没持有另外一些，比如 $NVDA 或 $BE，但我还是把它们放进来了。 不过老实说，如果我现在不是在主动管理仓位集中度，我会很愿意把这些名字等权配置。 我预计 AI Displacement ETF 还会继续上涨： 因为这些公司都是人工智能扩展算力和推理最主要的受益者。
英文原文
I realized by the amount of bookmarks. I lowkey dropped a banger ETF? AI Displacement Equal Weighted YTD: $AXTI: +191.53% $AAOI: +144.47% $SNDK: +140.38% $SOI: +114.3% $LITE: +61.22% $AEHR: +60.97% $BE: +56.56% $VRT: +47.42% Samsung: +42.8% $TER: +37.99% $MU: +35.1% Sk Hynix: +34.42% $NBIS: +25.57% $COHR: +24.92% Mediatek: +17.01% $INTC: +16.23% $ASML: +15.63% Advantest: +11.78% $TSM: +5.85% $COPX: +4.56% $TSEM: +2.44% $MRVL: -1.71% $NVDA: -4.55% $AVGO: -7.32% These are just the first names that came to my head. I own a lot of these personally (and don't own others like $NVDA or $BE ) but included them anyway. But honestly, I'd be happy to equal weight all these names if I weren't actively managing my portfolio concentrations. I expect the AI Displacement ETF to keep rising: As they're the largest beneficiaries of scaling compute and inference for artificial intelligence.
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认为 AI 已引发不可逆的岗位替代，投资相关基础设施和瓶颈是对冲失业冲击的主要方式。
这个消息真的很令人心碎： $META 裁员 20% $ORCL 裁员 $AMZN 长期将有 60 万名工人被机器人和 AI 取代。 这是一种反乌托邦未来。 企业在没有人工劳动成本的情况下，仍然能赚创纪录的利润。 唯一能从中受益的办法： 把 AI 当成对冲工具去投资。 未来几年，想逃离 AI 造成的永久底层阶级，感觉最主要的办法就是这样。 AI 产生的股东权益回报，将流向股东。 而那些没投资股票、只能靠工资过活的人之间的差距会继续拉大。 这不是未来，而是已经在发生。 - Opus 4.6 已经足够替代今天大多数软件工程师。 - Waymo 已经开始在旧金山这样的地方替代出租车司机。 - 我们知道 $TSLA 的人形机器人也快来了，因为它们在中国已经普及。 这件事现在就在发生。 伊朗的扰动只是 AI 建设加速过程中的短期事件。 AI 已经到达拐点，而且似乎不可避免。 你已经看到美国就业修正接近减少 100 万，这非常惊人。 而且我们正在看到，新一代 LLM 正在由它们前一代模型自己构建，AI 正在逼近奇点（AI 递归增长）。 如果你要投资那些运行 AI 所需的算力和硬件： 数据中心 / 电力 / 电网板块： $NBIS、$XLU、$VRT、$BE 光子板块，负责扩展 AI： $LITE、$COHR、$AAOI、$TSEM 半导体板块，负责芯片： $NVDA、$TSM、$ASML、$INTC 存储板块，负责芯片： $MU、$SNDK、SK 海力士、三星 ASIC，负责超大规模云 AI 推理： $AVGO、$MRVL、Mediatek 良率 / 测试板块，确保芯片能工作： $TER、$AEHR、Advantest 以及 AI 所需的原材料或基板： $AXTI、$COPX、$SOI 还有很多其他公司，都在成为对抗大规模 AI 失业的单一、最大对冲工具。 谁掌握了算力的生产资料（瓶颈、材料、数据中心）： 谁就掌握了 AI 的未来。
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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研究了从 Oxford 到 AIXA 的光子设备公司，但认为多数不会像 AAOI、AXTI、SOI 那样暴涨。
我确实研究过从 Oxford 到 $AIXA 这些和光子设备相关的卖家。 它们会因为光子需求而明显受益，跟 $ASML 那种资本开支周期很像。 但我不觉得它们里有太多公司会像 $AAOI、$AXTI，甚至 $SOI 那样涨 300%+。 不像那些更大的对冲基金 / 机构，我是在用自己的投资组合去追增长，所以只要机会还在，我对很多高 beta 的名字并不排斥。
英文原文
I did look through all the photonics equipment related from sellers from Oxford to $AIXA. They get a material bump from photonics demand, similar to $ASML capex cycles. But I don't think many of them will end up 300%+ like $AAOI, $AXTI, or even $SOI. Unlike larger hedge funds/firms, I'm chasing growth in my personal portfolio, which is why I'm fine with a lot of higher beta names as long as opportunity is there.
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AAOI财报揭示上游设备与材料瓶颈，IQE等上游厂商受益显著。
来自 $AAOI 财报的二阶效应： -> 对 MBE/MOCVD 反应堆的需求极度旺盛。 它们用于制造外延晶圆(epiwafers)。 这为“制造”环节释放了两个信号： - $IQE 坐拥一座绝对的“金矿” - 资本开支周期将惠及类似 $VECO ($18.5亿) 和 Aixtron ($AIXXF $37亿) 这样的设备商。 引用：3-4 家超大规模云服务商，可能是 $GOOGL、$AMZN、$MSFT，对光收发器(transceivers)的需求已触顶。 -> 中际旭创(Innolight)、易普拓(Eptolink)、$COHR 等厂商可能也会经历一轮资本开支周期以满足需求。 这主要利好两家外延晶圆代工代工厂： -> $IQE ($1.75亿) ~100+ 台反应堆 -> 晶品半导体(Landmark) (~$36.8亿) ~27-30 台反应堆。 所以这大概就是为什么 $LITE 大量使用 $IQE，而 Landmark 营收屡创新高。$AAOI 则一直在建设其德州工厂的产能。 总结： 1. Aixtron 和 $VECO 受益于今年类似迷你版 $ASML 的资本开支周期。当 Aixtron 在2月指引中表示预计2026年“整体市场环境持续疲软”时，也许他们在低调隐藏实力(sandbagging)或订单尚未下达。话虽如此，我认为最佳敞口可能并非设备卖家。 2. $IQE 坐拥满足 $LITE 及其他超大规模云服务商对 InP 外延晶圆需求的产能金矿。他们只需成功重组，估值就能更像其台湾同行($36.5亿市值)。 3. $AAOI 的财报显示收发器制造商及其组装所需的组件/材料需求惊人，市场肯定尚未定价。 4. $AXTI 一如既往地成为所有环节的瓶颈，正如我去年所提到的。 名字越响亮(如 $LITE、$COHR)，交易可能越拥挤/已充分定价。 但当你向上游追溯时，还有大量未被市场定价的隐藏宝石，它们将从巨大的光子学扩张中受益。 这是投资者的新淘金热，但本质是瓶颈狩猎。
英文原文
Second order effects from $AAOI earnings: -> Extreme demand for MBE/MOCVD reactors. They're needed for epiwafers. This signals two things for "manufacturing": - $IQE is sitting on an absolute gold mine - capex cycle to ( $VECO $1.85B, Aixtron $AIXXF $3.7B) type players. Quote: 3-4 hyperscalers, likely $GOOGL, $AMZN, $MSFT. demand maxed out for transceivers. -> Innolight, Eptolink, $COHR, and others will probably go through a capex cycle to meet demand too. This largely benefits both outsourced foundries for epiwafers: -> $IQE ($175M) ~100+ reactors -> Landmark (~$3.68B) ~27-30 reactors. So that's probably the reason why $LITE has been heavily using $IQE, and Landmark has been hitting record revenues. $AAOI's has been building capacity from their texas fab. TLDR: 1. Aixtron, $VECO benefits from mini $ASML style capex cycle this year. When Aixtron said 2026 "continued softness in overall market environment expected" from feb guidance, maybe they're sandbagging or orders havent come in yet. That being said, best exposure imo is probably not the machine sellers. 2. $IQE is sitting on a gold mine of capacity to meet demand across $LITE and others hyperscalers for inp epiwafers. They just need to restructure succesfully, to be rerated more like their $3.65B friend in Taiwan. 3. $AAOI earnings is just insane demand for both transceiver makers and the components/materials required to assemble them, definitely not priced in yet. 4. $AXTI as always happens to be the bottleneck of everything as I mentioned last year. The more well known the name is ( $LITE, $COHR ) the likely more crowded/priced-in. But when you go more upstream, there's a ton of hidden gems markets haven't priced in yet that benefit from the massive photonics ramp. It's the new gold rush for investors, but bottleneck hunting.
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探讨光子学及半导体供应链中除ASML外的其他关键供应商。
谢谢！我知道有些粉丝推荐了 Aixtorn，但还有其他有趣的供应商，比如 Oxford Instruments。我已经对 $IQE 和 epiwafer（外延晶圆）代工晶圆厂做了更多尽职调查(DD)，但光子学领域也有像 $ASML 这样的公司。令人惊讶的是 $VECO 也在那里，尽管我之前是因为 HBM（高带宽内存）相关业务而了解他们。
英文原文
Thanks! I know a some followers recommended Aixtorn, but there's other interesting suppliers like Oxford Instruments out there. I already did more DD into $IQE and the epiwafer merchant foundries, but there's the $ASML's of the photonics world too. Surprisingly $VECO was up there too although I knew them for HBM related stuff.
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AAOI财报预示光子学新范式，资金或轮动至上游设备及材料供应商。
$AAOI 预计到 2027 年光收发器需求激增 10 倍，基于 $55 亿的市场规模 (MC)，实现 $43 亿的年经常性收入 (ARR)…… 这规模巨大。 $LITE 和 $COHR 可能已经拥挤，但。 我们可能会看到资金向上游轮动，例如： $ASML 类型的供应商： - Aixtron (ETR: AIXA)：在输入型金属有机化学气相沉积 (MOCVD) 领域占据约 75% 份额 - $VECO - MOCVD 和分子束外延 (MBE) 系统，可能是第二选择。 - Oxford Instruments：$AAOI 和 $COHR 的等离子刻蚀和沉积系统供应商 独立外延晶圆代工厂 (光子学领域的代工厂)： - $IQE：最大的外包化合物半导体外延晶圆制造商。基本上是光子学世界的 $TSM，但有很多传统业务的拖累。 - LandMark Optoelectronics：最直接、纯粹的光收发器单元增长标的 - IntelliEPI (TPE: 2462)：使用 MBE 而非 MOCVD 制造高性能磷化铟 (InP) 外延晶圆 原材料衬底供应商 (基础材料)： - $AXTI/ Sumitomo：大家现在都知道了 收发器产能扩张的预测令人震惊，而这仅仅是 2027 年的情况。 到 2028 年可能会呈指数级增长。 $AAOI 创纪录的财报标志着光子学新范式的开始，获得相关敞口是一个很好的主意。
英文原文
$AAOI's 10x projected rev surge in optical transceiver demand by 2027 for $4.3B ARR off a $5.5B MC... Is enormous. $LITE and $COHR might be crowded, but. We'll likely see rotation upstream like: $ASML-type suppliers: - Aixtron (ETR: AIXA): ~75% share for inp MOCVD - $VECO - MOCVD and MBE (Molecular Beam Epitaxy) systems, probably second. - Oxford Instruments: Supplier to $AAOI and $COHR for plasma etch and deposition systems Merchant Epiwafer Fabs (Foundaries for photonics): - $IQE: largest outsourced compound semiconductor epiwafer manufacturer. Basically $TSM of photonics world but lot of legacy drag. - LandMark Optoelectronics: Most direct, pure-play for optical transceiver unit growth - IntelliEPI (TPE: 2462): MBE rather than MOCVD to create high-performance InP epiwafers Raw Substrate Suppliers (base materials): - $AXTI/ Sumitomo : everyone knows by now Transceiver ramp projections is staggering, and this is only 2027. It's likely exponentially increasing into 2028. $AAOI's record-breaking earnings signals the start of a new paradigm for photonics, it's a great idea to get exposure.
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解析$AEHR作为AI芯片热测试瓶颈解决者，正从研发转向量产，受益于巨头资本开支周期。
更简明的 $AEHR 概览 - 11 亿美元（无行话）。这是我的一个多头持仓： 在 AI 领域，散热是一个已知的瓶颈。 随着新一代 $NVDA 或 $AMD 类型的芯片发热量增加，如果一颗芯片熔毁，将是灾难性的。 因此科技巨头 -> 对每一颗芯片进行热应力测试，以查看其是否会在现场过早失效。 $AEHR 出售用于测试这些芯片的机器。 去年，他们类似于 $POET（处于预认证/测试阶段） -> 但现在他们已经通过了认证。 我们正看到从研发到大规模生产的拐点： 今天： -> $AEHR 获得 1400 万美元的芯片老化系统（wafer level）订单，以帮助扩大芯片生产。 但这台 1400 万美元的机器每周只能处理有限数量的晶圆。 -> 随着该 AI 客户扩大规模，他们将物理上耗尽热测试吞吐量。 因此，如果他们喜欢 $AEHR，就会购买更多，从而推动收入增长。 他们还有一个独立的产品线（Sonoma），用于测试封装后的芯片。 超大规模云服务商一直在订购此产品，因此有两个不同的测试阶段，两条收入来源。 管理层指引 2026 年下半年新增订单为 6000 万至 8000 万美元（这是巨大的增长）。 你可以参考 $TER（510 亿美元）或爱德万测试（约 1250 亿美元）来看看这类公司能有多大。 他们还在其他数据中心层进行测试： - 他们正在与 NAND Flash 内存供应商合作 - 硅光子学 我尽量去除了大部分技术行话，以便大多数人更容易理解，但这确实是一个微妙/技术性的领域。 $AEHR 具有潜力，因为它在多年的研发和认证后，现在开始实现真实规模的量产。 我们正处于一个巨大的资本支出周期中（想想 $ASML 的周期，人们为建设订购大量机器）。
英文原文
A simpler overview of $AEHR - $1.1B (without the jargon). One of my long positions: With AI, thermal is a known bottleneck. With new gen $NVDA or $AMD type chips that gets hot, if one chip melts down, it's a disaster. So tech giants -> every single chip stress tested with heat to see if it fails prematurely in the field. $AEHR sells the machines that does the testing of these chips. Last year, they were like $POET (pre-qualification/test phase) -> but now they've passed. We're seeing that inflection from R&D to mass production: Today: -> $14M order for $AEHR burn-in systems to help scale chip production (wafer level) But that $14M machine order can only handle a finite number of wafers per week. -> As this AI customer scales up, they will physically run out of thermal testing throughput. so they buy more if they like $AEHR, and this ramps up revenue. They also have a separate product line (Sonoma) for testing chips after they're packaged. Hyperscalers have been ordering this, so two different testing stages, two revenue streams. Management guided for a massive second half 2026 $60M to $80M in new bookings (which is big growth). You can look at $TER ($51B) or Advantest (~$125B) to see the ceiling of how big a lot of these companies can get. They also do testing across other data center layers too: - So they're working with NAND Flash memory suppliers - Silicon photonics Tried to strip out as much technical jargon as possible so it's more understandable to majority, but it's a very nuanced/technical field. $AEHR has potential as it's now scaling up real-volume after years of R&D and qualification. And we're sitting in an enormous capex cycle (think $ASML cycles, where people order a lot of machines for the buildout).
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修正对$SSYS看法，转向偏好高BOM价值的$VPG以捕捉机器人量产红利。
之前在 $SSYS 上犯了个错，误以为他们为机器人原型打印框架。 他们更像是机器人领域的 $ASML（阿斯麦）。 关于机器人量产爬坡（每生产一个人形机器人），我发过一篇帖子，将 $SSYS 替换为 $VPG，并引用了 @SigniaCapital 关于 Optimus 应用的分析。 其中提到，每生产一台机器人（$TSLA Optimus），他们预计每台获利约 500-1200 美元。 话虽如此，我确信 $SSYS 是个不错的长线标的，毕竟有位著名的政治家看准了一切，其投资组合中持有 $SSYS。 但我不像以前那样看好了，我更希望直接参与具有高物料清单(BOM)价值的机器人量产环节，而非初期的原型制作。
英文原文
So made the mistake earlier with $SSYS regarding the fact they print the frames for the prototypes of the robotics. They're more like an $ASML for robotics. For the robotics ramp (each humanoid produced), I made a post switching $SSYS with $VPG and quoted @SigniaCapital's analysis regarding applications for Optimus. There was a quote that for each robot ( $TSLA Optimus) produced, they make est. ~$500-$1.2K per robot. That being said, I'm sure it's a good long, there's one famous politician that got everything right and has $SSYS in their portfolio. But I'm not as bullish as I once was I wanted exposure to the direct robotics ramp with high BOM rather than initial prototyping.
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SHMD被视为玻璃基板领域的ASML，需深入研究。
@LucasFdez87 @pennycheck $SHMD 让我想起晶圆制造周期中的 $ASML，但玻璃基板领域也会出现类似情况。据悉，他们提供70%的基板生产设备，并很可能纳入英特尔、三星等公司的路线图。非常有趣，我需要深入研究一下。
英文原文
@LucasFdez87 @pennycheck $SHMD reminds me of $ASML for the Fab cycle, but there's going to be one for glass substrates. Apparently they provide 70% of the equipment for substrate production, and are likely part of Intel, Samsung, and other roadmaps. Very interesting, I need to look into it
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ASML跟踪晶圆厂周期，是长期复利资产，可替代直接受益股。
我没有纳入 $ASML，因为它的走势跟踪的是晶圆厂周期，而非像 $TSM 或三星电子那样涵盖整个 AI 资本支出交易（涵盖代工+存储+其他）。 但作为唯一的光刻机(EUV)供应商，它是一笔优秀的长期复利资产，尽管其表现不如追逐下一代 TPU/Blackwell 周期/LLM-agent 建设最直接受益者那样强劲。 我相信你可以用 ASML 替换上述任何一只股票。
英文原文
I didn't include $ASML since they track fab cycles rather than the whole AI capex trade which $TSM or Samsung Electronics does (foundry + memory + misc) But it's a good long term compounder as the sole EUV supplier vs. chasing the most direct beneficaries of the next TPU/Blackwell Cycle/LLM-agent buildout. I'm sure you can swap out any one of the above with ASML
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对比ASML、TSM和AMD，认为TSM在非对称回报上优势巨大。
@Docofgothm @pepemoonboy $ASML 追踪晶圆厂周期。$TSM 是对 AI 整体建设情况的衡量。在这种情况下，没有理由选择 ASML。就纯上涨空间而言，此时 $AMD 可能胜出，但在非对称回报（同等上涨空间下下行风险最低）方面，$TSM 以巨大优势胜出。
英文原文
@Docofgothm @pepemoonboy $ASML tracks fab cycles. $TSM is a measurement of AI buildout as a whole. No reason to go with ASML in that case. In terms of raw upside, maybe $AMD wins at this point, but asymmetrical returns (lowest downside for upside) $TSM wins by an enormous margin.
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宏观视角下，利用年底季节性、降息预期及机构资金流向，激进配置新云与AI赢家股。
宏观分析： 关注领域：资金流向 · 代理指标 · 季节性 · 仓位配置 布局： _ 新云(Neocloud)：$NBIS · $IREN · $CIFR · $DGXX 连接性(Connectivity)：$ALAB · $CRDO · $CLS 机器人(Robotics)：$KRKNF · $ONDS · $RR 国家安全(National Security)：$RKLB · $MP · $KTOS · $CCCX 能源(Energy)：$FLNC · $EOSE · $TE · $SEI 半导体(Semi)：$TSM · $AMD · $NVDA · $MU _ 第一部分 - 机构资金流向 进入10-11月，对冲基金卖出表现不佳的股票以锁定税务亏损并重新平衡仓位。 这造成了由税务亏损收割(tax-loss harvesting)带来的机械性下行压力，即轮动年内亏损股并轮动至赢家股。一旦这种抛售结束且洗售(wash sale)窗口期过期，机构和量化基金通常在12月中下旬或1月初回购这些超跌股。 上述布局展示了所有年内上涨的股票，通常你希望在年底通过收割亏损股并加仓赢家股来激进配置。 像$SNAP、$ETOR、$DRFT等可能在基本面被低估的股票，很大程度上受机构仓位配置影响。除非你想等待2-3个月并在此期间积累筹码（这也是有效策略），否则顺势而为更好。 第二部分 - 代理指标(Proxies) 新云 - 我们看到了$META与$CRWV的交易，$WULF与$GOOGL及Fluidstack的合资企业，$MSFT对OpenAI的计算需求增加等，这对整个新云板块极其看涨。因此该板块可能继续跑赢大盘。 国家安全 - 我们看到特朗普持有$MP等关键材料公司的股份，并开始关注支持更多国家安全风险，如量子计算公司$RGTI、$IONQ等。这对$RKLB等其他国家安全建设板块总体利好。 半导体 - $TSM是半导体建设和需求的最佳代理指标，其远期营收预测令人难以置信。人们常犯的错误是看$ASML的晶圆厂周期，但这并非正确的代理指标。 我们可以用$CLS作为连接性的代理指标，或用$BE的财报作为能源的代理指标等。 但通常，你可以通过该领域的其他公司很好地判断哪个板块正在跑赢或可能表现良好。 第三部分 - 季节性 11月和12月是股市表现最强的月份。 这更多是心理层面的，因为情绪因素。但也部分出于机械性原因，因为基金在10月进行税务亏损收割重新部署现金后，“追逐业绩”以锁定年度收益。 第四部分 - 仓位配置 这完全取决于你自身的风险水平。例如，对于较小的$10万投资组合，你可以像这样激进配置： 25% $NBIS, 10% $IREN, 10% $ALAB, 10% $CRDO, 5% $KRKNF, 5% $FLNC, 5% $TSM看涨期权, 20% 杂项或低贝塔(如$HOOD), 10% 现金。 如果你想做“赌徒”(degen)，现在可能是最好的时机。我之前举过一个ETF的例子说明如何配置，但我通常不建议将整个投资组合集中在单只股票上。 还有其他未提及的板块如金融科技/电商($HOOD, $SOFI, $DLO, $SEA)等，你可以自行替换。 第五部分 - 宏观 人们担心AI泡沫，但泡沫通常在美联储收紧时破裂，我们最近已在许多泡沫股中看到修正。但现在我们将迎来另外两次降息和政府重新开放（这是一个奇怪的催化剂，但确实存在）。 根据Polymarket，有86%的概率再降息两次，这很疯狂。随着三次降息，成长股和小盘股往往因廉价资金和债务缓解激发风险偏好而飙升。大量流动性最终将流入成长股和小盘股。 _ 这只是总体趋势，你可以选择自己的股票篮子，或任何你认为不错的。我个人对新云、AI建设最看涨，并更倾向于非对称(asymmetrical)选择，但各凭喜好（例如人们在能源/机器人或金融科技上有大量仓位）。 另需注意，即使某只股票如$RGTI上涨500%，也要确保其上涨有基本面支撑（如新云、远期营收）。 但总体而言，如果你只能记住一点，那就是在两次降息、年底季节性和向赢家股集中配置时激进出击，这是前所未有的最佳时机。
英文原文
Macro Analysis: Focus Areas: Flows · Proxies · Seasonality · Positioning Setup : _ Neocloud: $NBIS · $IREN · $CIFR · $DGXX Connectivity: $ALAB · $CRDO · $CLS Robotics: $KRKNF · $ONDS · $RR National Security: $RKLB · $MP · $KTOS · $CCCX Energy: $FLNC · $EOSE · $TE · $SEI Semi: $TSM · $AMD · $NVDA · $MU _ Part 1 - Institutional Flows Into October–November, hedge funds sell underperformers to lock in tax losses and rebalance positions. This creates mechanical downside pressure from tax-loss harvesting by rotating losers YTD and rotating into winners. Once this selling ends and wash sale windows expire, institutions and quants often buy back these oversold names in uually mid tolate Dec or early January. The setup above shows every stock that up YTD, usually you want to position aggressively into these EOY by tax-harvesting losers and scaling into positions that win. Stocks like $SNAP, $ETOR, $DRFT, and others that might be undervalued fundamentally is largely affected by institutional positioning. It's better to go with the flow rather than fight against it unless you want to wait out 2-3 months and accumulate during this time (which is a valid strategy as well). Part 2 - Proxies Neocloud - We've seen $META x $CRWV deal, $WULF x $GOOGL x Fluidstack JV, $MSFT having more compute demand from OpenAI, and others, which is extremely bullish for the whole Neocloud sector. So sector will likely continue to outperform. National Security - We've seen Trump take stakes into critical material companies like $MP and start looking into backing more national security risks such as quantum names like $RGTI, $IONQ, and others. This is generally positive for other names like $RKLB or other national security buildout across the board. Semi - $TSM is the best proxy for semiconductor buildout and demand and their forward revenue projections are absolutely insane. People make the mistake of looking at Fab cycles from $ASML but it's not the right proxy. We can go on with $CLS as a proxy for connectivity or $BE earnings for energy, etc. But generally, you can get a good idea on what sector is outperforming or is likely to do well based on other companies in the area. Part 3- Seasonality November and December are the strongest months for equities. This one is more psychological because of sentiment. But also partly mechanical because funds “chase performance” to lock in annual gains after they redeploy cash from tax loss harvesting in October. Part 4 - Positioning This is purely based on your own risk level. For example, with a smaller $100k portfolio you can be fine positioning aggressively like: 25% $NBIS, 10% $IREN, 10% $ALAB, 10% $CRDO 5% KRKNF, 5% FLNC, 5% TSM calls, 20% misc or low beta (eg. $HOOD), 10% cash. If you want to be a degen, now is probably the best time to do so though. I gave an example ETF earlier on how you can position but I typically don't recommend concentrating your whole portfolio into single stocks. There are other segments I didn't mention like Fintech/Commerce ( $HOOD, $SOFI, $DLO, $SEA) and so on but you can plug and play. Part 5 - Macro People worry about AI bubbles, but bubbles pop when Federal Reserve tightens, and we recently got a correction in a lot of bubbly names. But now we're going into 2 more rate cuts and government re-opening (which is such a weird catalyst but it is one). We have a 86% chance of 2 more rate cuts which is insane (as per Polymarket). And, with a triple rate cut, growth and small caps tend to surge as cheaper money and debt easing spark risk appetite. Floods of liquidity will eventually flow into growth stocks and small caps. _ This is just the general trend, you can pick your own basket of stocks, or whatever you feel is great. I'm personally the most bullish on Neoclouds, AI buildout and positioned more heavily toward asymmetrical picks but to each their own (eg. people have large positioning in energy/robotics, or fintech) Also something to note is that even if something goes up 500% like $RGTI, make sure the rise backed by fundamentals (eg. Neoclouds, forward revenue) But generally if you had to take one piece away, being aggressive into two more rate cuts, end of year seasonality, and consolidating into winners is the best time ever for it.
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TSM超预期证明AI基建强劲，反驳仅凭ASML看衰半导体的观点。
是的，随着 $TSM 全面大幅超出盈利预期，我们已经对未来增长有了一些洞察。 我总看到 X 上的人只引用 $ASML 就声称半导体扩张正在放缓，但这完全错了。ASML 衡量的是晶圆厂(Fab)扩张周期。 人们只需看看 TSM，因为它是衡量 AI 数据中心/AI 建设最纯粹的方式，毕竟他们几乎制造所有东西 lol。 而且他们确实预测了高增长+扩大的利润率。 量子/矿产等更具投机性。有些可能会表现良好，但像 Neoclouds 这样的高远期营收/利润是最可持续的，并将在未来的财报中引发市值的大幅重估。
英文原文
Yeah we already got some insights into future growth with $TSM blowing out high expectations on earnings across the board. I keep seeing people on X saying semi expansion is slowing by only citing $ASML but they're completely wrong. ASML is a measurement of Fab expansion cycles. People just need to look at TSM, which is the purest way to measure AI datacenter/AI buildout because they literally make everything lol. And they literally projected high growth + expanded margins. Quantum/Minerals, etc are more speculative. Some might turn out well, but high forward rev/profit on stuff like Neoclouds are the most sustainable and will cause large re-ratings to marketcaps in future earnings reports.
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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.