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梳理玻璃基板供应链关键厂商和时间线。
关于玻璃基板(glass substrate)的时间线，这里有一些非常有用的重申信息（来源：Trendforce）： - SKC Absolics(011790)：2026年下半年，先发者，联合 $AMAT，客户包括 $AMD。 - Samsung Electro-Mechanics(009150)：2027年下半年，联合住友化学(4005)，面向 Apple / $AVGO / 超大云厂商。 至于 $INTC 2030 年，我不太确定。
原推 ↗英文原文
Just very helpful timelines reiterated around glass substrate (source: Trendforce): - SKC Absolics (011790) H2 2026 (first mover x $AMAT) - $AMD customers - Samsung electromechanics h2 2027 (009150) x Sumitomo Chem (4005) - Apple / $AVGO / hyperscalers Idk about $INTC 2030 https://t.co/zI7nD2YQpa
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通过Ayar投资关系推导SIVE在CPO供应链中的确认。
回复 @Uri62223094：这是供应链确认。我知道 $NVDA 是 Ayar 的投资者，所以我会假设他们想要某种类似 NVLink 生态的战略合作。 $AMD 也投资了 Ayar，所以 $AMD 选择 $GFS 做 CPO，也让人能通过 Ayar 把1+1和 $SIVE 连起来。 联发科和 $INTC……
原推 ↗英文原文
@Uri62223094 its supply chain confirmation, I knew $NVDA was an investor in Ayar, so Id assume they wanted some strategic collaboration like NVlink ecosystem. $AMD also invested in Ayar, so $AMD going with $GFS for CPO also kinda put 1+1 together with $SIVE through Ayar. Mediatek and $INTC
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暗示某光子学玩家成为CPO/可插拔/SiPH标准激光器。
一家公司的整个历史中最具后果的事件。 今天由一家光子学玩家发布。 这让它成为 CPO、可插拔和 SiPH 的功能性标准激光器。 适用于使用该代工厂的 $NVDA、$AVGO、$AMD 到 $MRVL 等公司。 有人知道名字吗？
原推 ↗英文原文
The most consequential event of an entire company’s history. Got released today with a photonics player. Making them the functional standard laser for CPO, Pluggables, and SiPH. For companies like $NVDA, $AVGO, $AMD, to $MRVL using the foundry. Does anyone know the name?
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认为光子学市场是跟随龙头的算法卖出，忽视个体基本面改善。
当前光子学市场主要只是“跟随龙头”的算法卖出。 大多数激光/光学相关公司，从 $AAOI 到 $SIVE，似乎都和 $LITE 表现绑定在一起…… 尽管个体基本面正在改善。例如 AOI 与 $AMD / $NVDA 的讨论。 算法不会……
原推 ↗英文原文
It’s mainly just “follow the leader” algorithmic selloff in current photonics markets. Most laser/optical related companies from $AAOI to $SIVE seem tied to $LITE performance… Despite individual fundamentals improving. Eg. (AOI with $AMD / $NVDA discussions). Algorithms don’t https://t.co/gBm50DRqFj
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即使AAOI已130亿市值，因激光瓶颈和2027收入爬坡更看多。
考虑到最近所有激光瓶颈，我实际上比 $AAOI 在20亿美元或60亿美元市值时，更看好现在130亿美元市值的 $AAOI。 我也认为市场错过了关于它可能与 $NVDA 或 $AMD 签订长期供应协议的分析师注释。 如果他们预测2027年上半年4.71亿美元……那是荒谬的爬坡。 当然，6亿美元 ATM 是短期压制。 只是等待时间的问题？因为这更多是能否跟上需求。 所以问题更多是他们能生产多少。 它大概是我现在持有的、最喜欢的美国本土光子学多头。
原推 ↗英文原文
I’m actually even more bullish on $AAOI at $13B MC given all the recent laser bottlenecks… Than I was back at $2B or $6B. I also think markets missed the analyst note around potential long term supply agreements with $NVDA or $AMD. If they’re projecting $471M in H1 2027… that’s absurd ramp. But of course the $600M ATM is a short term overhang. Just a matter of waiting time? Given it’s more about keeping up with demand… So more of a matter of how much they can make. Probably my favorite US-based photonics long stock now that I own.
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长文重申SIVE是最有吸引力的CPO/光子学敞口，并列出客户、资金、上市和M&A催化。
$SIVE 是我眼中最有吸引力的 CPO/光子学敞口。 针对错误信息：我没有卖出，也不打算卖出一股。 我确实认为它有一天会从约21亿美元成长为下一个800亿美元以上的 $LITE。 我个人也计划获得更多所有权，并支持它们的并购前景。 我相信财报电话会记录会非常正面。 过去几个月我们发现了很多线索：AlChip/Amazon 私募对 Ayar 有利，并暗示 $SIVE 进入 Trainium 4 设计；Wiwynn + Ayar 的 CPO 放量；$JBL 1.6T 光收发器与 Sivers 的放量比市场预期更快；O-Net 正在扩大与 $SIVE 的 ELS 努力；$YSS 收购 $SIVE 的 allspace 主要合作伙伴并把 Sivers 设计进太空防务主承包商；新的 CHIPS Act 资金；$POET 下半年放量及其新订单（$SIVE 作为光源）；关于 $AAPL 使用 $SIVE 激光用于下一代消费设备的信息；与 Lightelligence、Lightmatter、Celestial/$MRVL、Lightium、$AMD/$GFS、Ayar、可插拔 TAM、NASDAQ 上市、MSCI/Nasdaq OMX 纳入、M&A、$NOK 客户线索、$LITE 的 CW 瓶颈和 Win 产能协议等信息。 这些市场研究都发生在财报之前。任何财报结果只是对供应链映射的确认。 我不认为有人关心前一季度收入，因为 $SIVE 是一个极具吸引力的2027年多头，尤其是下半年以后。 我只看几件事：整体光子学超级周期的 TAM 扩张（如光引擎、ELS、可插拔），来自并购或业务发展的机会；现有客户的放量预期；NASDAQ 上市时间线，以获得更多流动性支持并购；以及 CPO/可插拔的新客户信号。
原推 ↗英文原文
$SIVE is the most compelling CPO/photonics exposure to me. Addressing the disinformation: I haven’t sold and don’t plan to sell a single share. I do think this ends up the next $80B+ $LITE one day from ~$2.1B. And I personally have plans to acquire more ownership + support their M&A prospects. I believe earnings transcripts will be strongly positive. As in the part few months we’ve discovered: > AlChip/Amazon private placements, which is positive for Ayar -> $SIVE implying Trainium 4 design in > Wiwynn + Ayar CPO scale up > $JBL 1.6T optical transceiver ramp with Sivers incoming faster than markets expected (with relatively dramatic moat + demand as much as they can produce) > O-Net scaling up ELS efforts with $SIVE > $YSS acquisition of $SIVE allspace lead partner, designing Sivers into Space defense primes > New CHIPS ACT funding for $SIVE > $POET H2 volume ramp and their new $50m -> $500m order (with $SIVE as light source) > information discovery around $AAPL using $SIVE lasers for next gen consumer devices > information discovery around links to Lightelligence (went public $10B+ MC) + Lightmatter as likely customers. > Celestial volume ramp with $MRVL indicators. > new customers working on TFLN with $SIVE like Lightium > $AMD going with $GFS for CPO, and GFS listing sivers as one of two laser suppliers > Ayar removing $MTSI / $LITE from their website and signaling $SIVE as primary source/sole source > Ayar raising $500m for volume ramp (intel, Mediatek, Nvidia, amd etc) > pluggable TAM expansion signaled from 2025 annual report > Nasdaq listing expected soon > MSCI small cap index / Nasdaq omx inclusion, making Blackrock, Vanguard and others passive buyers > M&A signaled from 2025 annual report + 2 new board members that have experience in that area > $NOK as likely customer from 2025 annual report. > $LITE getting cw bottlenecked from EML contracts, $SIVE signaling capacity agreements in place with Win, making the a likely bottleneck owner + chokepoint in CPO sector. All of this market research was done before earnings. Any results is just confirmation of supply chain mapping done. I don’t think anyone cares about former quarter revenue since $SIVE is an exceptionally compelling 2027 long, especially H2 onward. Only thing I’m looking at are: > TAM expansion of the overall photonics supercycle (eg. optical engine, ELS, pluggables) either from M&A or developments > volume ramp expectations from existing companies > Nasdaq listing timelines for more liquidity to support their M&A efforts > any new customers signaled for CPO/Pluggables
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认为光子学无新闻下跌是有吸引力主题的波动，自己在加仓。
今天光子学无新闻下跌挺有意思？ $LITE -4.95% $AAOI -4.85% $SIVE -14.8% $SOI -5.73% $AXTI -8.13% $IQE -12.13% 我认为它可能是未来最有吸引力的主题（甚至超过功率半导体）。 只是上涨途中往往非常波动。 不过我对 $AAOI 有些惊讶，因为显然有机构报告提到与 $AMD 或 $NVDA 的长期协议（Rosenblatt）。也许6亿美元 ATM 限制了近期上行。 $SIVE 也是，考虑到下周 EU Chips Act 2 围绕光子学，而它们列在蓝图中。下周还有 MSCI/NASDAQ OMX 资金流入。 我个人一直在加仓，因为我对光子学主题（尤其是 CPO）有高信念，原因是未来两年整体 TAM 扩张。
原推 ↗英文原文
Interesting photonics selloff today on no news? $LITE down -4.95% $AAOI down -4.85% $SIVE down -14.8% $SOI down -5.73% $AXTI down -8.13% $IQE down -12.13% I think it’s probably the most compelling theme going forward (even more than power semis). Just tends to be very volatile on the way up. Surprised about $AAOI though given there’s some institutional notes apparently about long term $AMD or $NVDA agreements. (Rosenblatt). Maybe $600m ATM caps some near term upside. $SIVE as well, given EU Chips Act 2 is next week around photonics, and they’re listed on the blueprint. Same with MSCI/NASDAQ omx inflow next week. I’ve been personally adding to positions since I have high conviction in the photonics theme (CPO especially) given TAM expansion overall next 2 years.
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AMD投资台湾生态100亿美元以上，利好封测、ODM、PCB及二阶光学受益者。
正如我刚说的： $AMD 向台湾生态投资100亿美元以上（用于保障产能/扩展基础设施）。 AMD 正与 $ASX 和 SPIL 合作。 以及 ODM 伙伴如 $SANM、Wiwynn（6669）、Wistron（3231）和 Inventec（2356）。 PTI、Unimicron、AIC、Nan Ya PCB、Kinsus 也被点名为直接受益者。 当然，像 Foci 或 MSScorps 这样的二阶受益者也会受益。 总的来说，AMD 新闻利好台湾供应链。
原推 ↗英文原文
Just as I say this: $AMD invests $10B+ into Taiwan ecosystem (for securing capacity/scaling infra) AMD is collaborating with $ASX and SPIL. As well as ODM partners like “ $SANM, Wiwynn (6669), Wistron (3231) and Inventec (2356). PTI, Unimicron, AIC, Nan Ya PCB, and Kinsus were also name dropped as direct beneficiaries. And of course second order beneficiaries like Foci or MSScorps also benefit. But bullish on Taiwan supply chains all around from $AMD news.
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解释为何关注SIVE并购：早期客户后来成长为数十亿美元公司，Sivers懂得收购光学IP。
如果人们还没意识到为什么我如此关注 $SIVE 的并购。 Sivers 的潜在客户曾经是： Lightmatter 很小时 -> 成为40亿美元以上公司。 Lightelligence 很小时 -> 成为100亿美元以上公司。 Ayar 很小时 -> 现在由 $NVDA、$AMD 等资助。 Celestial 很小时 -> 被 $MRVL 收购并成为其增长向量。独立估值可能会超过100亿美元。 我极其确定 Sivers 知道该收购什么光学 IP。 它们只是卡在 Catch-22 中，原本缺少资金，尽管拥有最有价值的激光瓶颈之一。 未来 NASDAQ 上市和近期增长，现在解锁了下游 IP 收购潜力。
原推 ↗英文原文
If people don’t realize why I’m so interested in $SIVE M&A. Sivers likely customers were: Lightmatter when they were tiny -> became $4B+ company. Lightelligence when they were tiny -> became $10B+ company. Ayar when they were tiny -> now funded by $NVDA, $AMD, and others. Celestial when they were tiny -> bought by $MRVL and became their growth vector. Probably would be valued $10B+ standalone. I’m extremely sure Sivers knows what to acquire for optical IP. They were just stuck in a catch-22 and lacked the funding to do so originally, despite owning one of the most valuable laser chokepoints. Future NASDAQ listing and recent growth unlocked downstream IP acquisition potential now.
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SIVE空头比例或超17%，将面对MSCI流入、NASDAQ上市、CHIPS支持和多客户收入驱动。
先放在这里： $SIVE 空头权益现在可能高于17%+。 因为很多瑞典本地对冲基金做空 Sivers 已经深度亏损。 它们即将通过以下方式遇到美国机构： > 2周内 MSCI 资金流入。 > NASDAQ 上市。 > 美国 CHIPS Act 托底。 同时还有来自光学超级周期的核心收入驱动：未来一两年可能来自 $AAPL、$JBL、$POET、Ayar、Onet/Enablence、Lightium、$AEVA、$MRVL、Lightmatter、Lightelligence 和 $AMD。 我个人不认为在这么早期做空的瑞典本地人（以及一些随机算法）会有好结果。 流行说法是，每一股空头最终都会变成长多。
原推 ↗英文原文
Just putting it out there: $SIVE short interest is probably higher than 17%+ now. As lot of local Swedish hedge funds are very underwater, shorting Sivers. They're about to meet US institutions through: > MSCI inflow in 2 weeks. > NASDAQ Listing. > US CHIPS Act backstop. alongside core revenue driver from the optical supercycle revenue ramp from likely $AAPL, $JBL, $POET, Ayar, Onet/Enablence, Lightium, $AEVA, $MRVL, Lightmatter, Lightelligence, and $AMD over the next year or two. I personally don't think it's going to end well for the Swedish locals shorting (and some random algos) at this early stage. And the popular saying is every one stock short turns into a long eventually.
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深度分析光子学供应链四只股票，强调TAM扩张和垂直整合逻辑，认为是长期核心持仓而非短期交易
当我看到像这样（而且很多）的来自散户投资者的评论时，我立刻认为他们缺乏技术深度。 我来逐一分析从$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。
原推 ↗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 $IQE) and retail would only find out after their valuations are 600% higher. Should really do the research before adding comments like these: These are all forward growth companies that require in-depth supply chain knowledge.
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分析Sivers作为CPO激光供应商的市场地位及垂直整合潜力。
我并没有说Sivers现在就应该被估值到100亿美元以上。 我说的是，如果Sivers在美股市场上市，我预期它的估值会在30亿美元左右。明年可能达到100亿美元以上。 因为他们很可能是$SIVE（$JBL、$MRVL、AMD、Ayar、els、Lightmatter、$POET等公司）的激光供应商，用于CPO或1.6T光收发器。 而且我高度确信他们正在与$AAPL合作开发用于消费类设备的硅光子(SiPH)技术。 根据高盛报告，CPO整体TAM（可寻址市场）在未来两年将从零增长到910亿美元。 Sivers向各大厂商供货，并从$LITE因受$NVDA产能分配限制以及2027年产量爬坡影响而停滞的溢出需求中获益。 然后他们只需要复制$LITE和$COHR的做法，通过收购封装IP或更多光引擎IP，向下游垂直整合完整的ELS（外接激光源）。 但首先他们得掌握激光这个瓶颈环节——而他们现在已经在做了。
原推 ↗英文原文
I didn’t say it should be valued at $10B+ today. I said I expected $SIVE to be around ~$3B if they were listed on US markets. And could be $10B+ next year Since they likely are the laser supplier to $JBL, $MRVL, $AMD, Ayar, onet(els), Lightmatter, $POET and many others for CPO or 1.6T optical transceivers. And high confidence work with $AAPL on SiPH for their consumer devices. CPO overall tam goes from 0 to $91B in the next two years from GS report. Sivers supplies to major players, and captures overflow from $LITE getting stalled out by capacity allocations from $NVDA and volume ramps over 2027. Then they just need to pull a $LITE $COHR then vertically integrate IP downstream by doing the full ELS by buying packaging IP or more optical engine IP. But that starts off by owning the laser chokepoint which they do now
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感叹 X 和 Reddit 上有人靠半导体赚了大钱
是不是只有我觉得…… X 上或者 $RDDT 上的人，最近是不是都靠 $INTC、$MU 和 $AMD 赚了大钱？ https://t.co/CWEt5rcusn
原推 ↗英文原文
Is it just me… Or does it feel like everyone on X or $RDDT made millions off of $INTC, $MU, and $AMD recently? https://t.co/CWEt5rcusn
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SIVE激光器供应商客户覆盖多家AI/硅光子明星企业，估值对应的超大规模客户量惊人
$SIVE 向以下公司供应激光器：可能是 $JBL、Ayar、Lightmatter、$POET、$MRVL Celestial、Lightelligence、$AMD、O-Net/Enablence 以及其他公司。 这还不包括他们与 $AAPL 或 $AEVA 的硅光子(silicon photonics)项目，或者他们其他与CHIPS法案相关的工作。 以这个估值来看，他们所服务的超大规模企业(hyperscaler)数量相当惊人。
原推 ↗英文原文
$SIVE supplies lasers to likely $JBL, Ayar, Lightmatter, $POET, $MRVL Celestial, Lightelligence, $AMD, O-Net/Enablence, and others. Not including silicon photonics programs with $AAPL or $AEVA or their other CHIPS act related work. The amount of hyperscaler they feed into is pretty crazy at that valuation.
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认为算法看不懂供应链映射，只会继续做空
大概率还是纯算法行为，但昨天又有 0.76% 的流通股被做空了。 算法通常看不懂很多供应链映射细节，比如 $AMD 和 $GFS 一起做 CPO。 然后在 $GFS 的图片展示里，$SIVE 只被列成两个激光供应商之一。这就是 alpha，因为你知道别人不知道的东西。
原推 ↗英文原文
It's likely pure algorithmic, but another .76% of the float was shorted yesterday. Algorithms tend to miss a lot of the nuances of supply chain mapping like $AMD going with $GFS for CPO. Then $SIVE listed as 1 of 2 laser suppliers in $GFS image presentations. This is called alpha though since you know something others don't.
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提醒别人最近一个月 Intel AMD ARM 都在涨
@hiro_invst 你没看见这一个月的 $INTC、$AMD、$ARM 吗？
原推 ↗英文原文
@hiro_invst Have you not seen $INTC $AMD $ARM this past month?
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CPO面临全行业供需失衡，多处产能瓶颈将显现。
$LITE CEO在财报电话会中措辞是"CPO存在巨大的供需失衡"。 我认为即便是$SIVE、$GFS、Win、Shunsin，以及所有CPO相关公司，都会面临需求过剩的局面……从而在多个环节引发全行业瓶颈。 但话说回来，$AMD的CPO项目可能不得不选择其他激光供应商，比如$SIVE，因为$NVDA锁定了产能。
原推 ↗英文原文
$LITE CEO on their transcript worded it as "massive supply demand imbalance on CPO" I think even $SIVE, $GFS, Win, Shunsin, and everyone CPO related will have too much demand... leading to an industry wide bottleneck on multiple chokepoints But yes, $AMD CPO program likely had to go with other laser suppliers like $SIVE as a result of $NVDA securing capacity.
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Sivers处CPO供应链前沿，910亿美元TAM蓝海刚起步，H2超级周期可期。
只是近期信息发现的回顾 + 与$SIVE的可能映射： -> $JBL 1.6T -> Lightmatter -> Ayar -> $MRVL Celestial -> Lightelligence -> $POET -> $GFS生态 -> $AMD CPO -> O-Net / Enablence -> $AAPL 硅光子学 _ -> $YSS Golden Dome/DoD -> $RTX / $ERIC (太空) -> Bae Systems -> $AEVA $JBL到Ayar供应给超大规模云商如$MSFT、$GOOGL、$AMZN、$META。 Lightelligence到O-Net可能供应给亚洲超大规模云商如腾讯、字节跳动和百度。 在此之上……根据高盛报告，CPO的整体TAM（总可寻址市场）从0增长到$91B。 而Sivers恰好是CPO领域的前沿（也从0开始）。 这绝对是高贝塔和高波动的。 但如果Win卷随着$SIVE一起增长，我看到他们明年都能成为$10B+的公司。 这只是CPO超级周期H2 2026开始之前非常早期的阶段（H1）。
原推 ↗英文原文
Just a recap of recent information discovery + likely mapping with $SIVE: -> $JBL 1.6T -> Lightmatter -> Ayar -> $MRVL Celestial -> Lightelligence -> $POET -> $GFS ecosystem -> $AMD CPO -> O-Net / Enablence -> $AAPL Silicon Photonics _ -> $YSS Golden Dome/DoD -> $RTX / $ERIC (Space) -> Bae Systems -> $AEVA With $JBL to Ayar feeding into hyperscalers like $MSFT, $GOOGL, $AMZN, $META. With likely Lightelligence to O-Net feeding into Asian Hyperscalers like Tencent, Bytedance, and Baidu. On top of that... the overarching TAM with CPO from the GS report goes from 0 -> $91B. And Sivers happens to be the bleeding edge for CPO (also starting from 0). This is definitely high-beta and volatile. But if Win volume ramps alongside $SIVE, I see them both becoming $10B+ companies next year. This is just extremely early on (H1) before the CPO supercycle starts H2 2026.
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认为 SIVE 在 GFS 生态图里被列入极其看多
没错，市场可能漏掉了 $SIVE + $GFS SCALE 这件事。 $SIVE 被列为 $GFS 生态图里两个公开 laser 供应商之一，这对 Sivers 来说是极度看多的信号。 每当像 $AMD 这种公司使用 $GFS 做 CPO、再借助 GlobalFoundries 搭建光学方案时， Sivers 大概率就是他们的光源，给 $AMD -> hyperscaler 这条链路供能。 带着 CPO 的 hyperscaler buildout 最终会流到这家只有 17 亿美元市值的小型 laser 光源公司 $SIVE 身上。
原推 ↗英文原文
Yes, markets might have missed this with $SIVE + $GFS SCALE. The inclusion of $SIVE as 1 of 2 public laser suppliers in $GFS ecosystem image presentation is a highly bullish indicator for Sivers. Whenever semis like $AMD (using $GFS for CPO), builds their optical solutions with GlobalFoundries. Sivers is the likely light source for their buildout and powers companies like $AMD -> Hyperscalers. The hyperscaler buildout with CPO flows down to this tiny $1.7B MC laser light source in $SIVE.
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SIVE 是激光瓶颈供应商，可能供货多家CPO厂商却未被机构发掘。
$SIVE 处于高盛所说的具有显著每股收益(EPS)上行空间的激光瓶颈环节。 但它们仍未被机构发现，尽管它们可能与 $AMD 共封装光学(CPO)、$MRVL CPO、JBL 1.6T、Lightmatter、Ayar、$POET 等公司有关联。 Ayar 被提及了，但奇怪的是他们没有找到它们的上游激光供应商。
原推 ↗英文原文
$SIVE is in the laser chokepoint that Goldman says has significant EPS upside. But they're undiscovered to institutions still, despite their likely mapping to $AMD CPO, $MRVL CPO, $JBL 1.6T, Lightmatter, Ayar, $POET, and others. Ayar got mentioned though, but strange they didn't find their upstream laser supplier.
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Sivers成为CPO关键激光供应商，NVDA引发的产能瓶颈正驱动AMD等厂商争抢上游资源。
看到$SIVE成为CPO(共封装光学)的Tier 1激光供应商，这真的很疯狂。 这是我的预测/猜测与大致映射： $NVDA用$COHR、$LITE的产能（在他们新的20亿美元以上支出计划之后）。 早期2025年EML用了同样的手法，导致了今天的瓶颈。 现在，$AMD/超大规模云商正在争抢上游激光供应商。 因此，$SIVE + Win / $GFS成为可能的主要途径。 你可以从以下看出： -> $MVL CPO通过Celestial（Nvidia签了协议，但他们没有激光器） -> $AMD CPO -> Ayar -> $POET -> Lightmatter -> 其他项目（如Jabil 1.6T） 因此，Sivers/Win成为Tier 1尖端关键独立激光供应商。 这一点的一些暗示： 1. $GFS在其生态系统中将$SIVE / $LITE列为仅有的两家公开激光供应商。 2. Ayar将$LITE / $MTSI从其网站上移除，并将$SIVE提升为主要激光供应商。 所以其他所有人最终都选择了Sivers，因为$COHR / $LITE已经完全分配。 我的猜测是，随着架构标准化，许多二级供应商也会抢占溢出市场份额。 明年年初，考虑到$NVDA的瓶颈，这场争夺关键环节的竞争将异常激烈。 而这家瑞典小型公司$1.2B规模的$SIVE将处于这场竞争的中心。
原推 ↗英文原文
It's pretty insane to see $SIVE become a Tier 1 laser supplier for CPO. This is my prediction/guess with est. mapping: $NVDA ate up all the capacity with $COHR, $LITE after their new $2B+ spending spree. Same playbook with EML early 2025, causing the bottleneck seen today. Now, $AMD / hyperscalers are scambling for upstream laser suppliers. Hence why $SIVE + Win / $GFS became likely primary route to go down. You can see this with: -> $MVL CPO through Celestial (Nvidia signed a deal, but they don't have lasers) -> $AMD CPO -> Ayar -> $POET -> Lightmatter -> and other programs (eg. Jabil 1.6T) As a result, Sivers/Win emerged as the Tier 1 bleeding edge + critical independent laser supplier. And there's hints for this when: 1. $GFS listed $SIVE / $LITE as the two only public laser suppliers in their ecosystem. 2. Ayar removed $LITE / $MTSI off their website and elevated $SIVE to their primary laser supplier. So everyone else ended up going with Sivers since $COHR / $LITE are fully allocated. My guess is that a lot of the secondary suppliers also capture overflow as architectures standardize. But scramble for this chokepoint will be insane early next year given $NVDA bottleneck. And a small $1.2B Swedish company in $SIVE will be in the center of it.
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分析CPO供应链中三家最有可能实现3倍涨幅的公司：SIVE(MC约$1.3B)、MSSCORP($1.2B)、Auros($210M)。
至于3倍涨幅的股票，在这些水平上我认为： 1. SIVE 2. MSSCORP (6830) 3. Auros (322310) 是我最看好的猜测。以下是我的思路： 1. SIVE：我真心认为他们明年能达到100亿美元以上的市值，他们是CPO激光器领域的绝对前沿，与LITE和COHR并列。 按130亿美元市值计算...关于可能的版图映射： 光子学领域：AMD CPO、MRVL Celestial CPO、JBL 1.6T、Lightmatter、Ayar、ALChip、GUC、O-Net (ELS)、POET。 太空与国防领域：通过YSS、RTX、ERIC、Bae Systems实现的Golden Dome项目。 硅光子学领域：AAPL（Apple Watch）。 这已经是非常多的客户了，而且还在持续增加。 他们总是可以通过IP收购向下游拓展TAM，或垂直整合来快速追赶LITE的600亿美元市值，一旦获得更多融资的话。 2. MSSCORP (6830)：CPO检测领域的垄断者，约12亿美元市值。 对CPO良率的100%垄断，TSM、AMAT、NVDA、LCRX、INTC等很可能都是客户。 "公司的目标是占据CPO检测市场90%的份额" 这基本意味着100%，只是他们不想引发反垄断担忧。如果他们守住垄断地位且CPO产能增加，很容易从12亿美元涨到50-90亿美元。 3. Auros (322310)：三星/SK海力士的供应商，约2.1亿美元市值，专注于混合键合(Hybrid Bonding)量测。 基本上专注于两类产品： -> HBM4 / HBM4e / HBM5周期，这是KLA此前在IR量测领域拥有垄断地位的市场。 ---> 目前正在三星工厂进行认证，下半年预计量能爬坡。SK海力士在升级到混合键合时很可能也会进行认证。 -> 薄膜厚度测量。 ---> 正在获得"主要本土芯片制造商"（三星或SK海力士之一）的认证，目标今年实现批量供应。 他们已经开发了十多年，终于要在下半年从数年的认证期转向两类产品的量能爬坡。 如果他们转型到量能爬坡阶段，似乎非常有希望在3倍至6.3亿美元左右，这在韩国市场中像是一颗未被发现的宝石。 当然，我不确定这些公司最终会如何发展，这全都是推测性的，但这是高置信度的供应链映射。 但凭我的直觉，这三只我自己持有的股票在这个水平上最有可能。
原推 ↗英文原文
As for 3x brrrs these levels: 1. $SIVE 2. MSSCORP (6830) 3. Auros (322310) Are my best guesses. Here's my thought process: 1. $SIVE: I genuinely do see them being $10B+ next year, they're the literal bleeding edge for CPO lasers alongside $LITE and $COHR. At a $1.3B MC... For likely mapping: Photonics: $AMD CPO, $MRVL Celestial CPO, $JBL 1.6T, Lightmatter, Ayar, ALChip, GUC, O-Net (ELS), $POET. For Space + Defense: Golden Dome via $YSS, $RTX / $ERIC / Bae Systems. Silicon Photonics: $AAPL (Apple Watches). This is just a stupid amount of customers and it's still increasing. They can always TAM expansion downstream through IP acquisitions or vertically integrate to speedrun $LITE's $60B MC one day once they get more funding. 2. MSSCORP (6830): CPO monopoly over inspection at ~$1.2B. 100% monopoly over CPO yields, $TSM, $AMAT, $NVDA, $LCRX, $INTC, and others are all likely customers. "The company’s goal is to seize a 90 percent share of the CPO inspection market" This basically means 100%, they just don't want antitrust. If they defend their monopoly and CPO ramps, can easily see this worth ~$5B-$9B from $1.2B 3. Auros (322310): Samsung / SK Hynix supplier at ~$210M for Hybrid Bonding Metrology. Basically pure play on two products: -> HBM4 / HBM4e / HBM5 cycles, that $KLA had a monoply over for IR metrology. ---> Getting qualified now likely in Samsung factories, H2 volume ramp est. Sk Hynix likely qualifying too when they upgrade to hybrid bonding. -> Thin-film thickness measurement. ---> Getting qualified now, with "major domestic chipmaker" (either Samsung/Sk hynix), targets mass supply this year. They've been developing for the past decade, only to volume ramp two products from years of qualification H2 this year. Seems extremely likely to 3x to $630M if they switch to volume ramp, feels like an undiscovered gem in the Korean market? Of course, not sure how they play out and this is all speculative but high confidence supply chain mapping. But off the top of my head these three that I own are the most likely ones at this level.
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西方机构开始关注 SIVE
有个有意思的事实：我不认为任何大型美国机构之前持有过 $SIVE / $SIVEF，因为它原本主要是瑞典本土散户持有的股票。 另外，美国基金也有一些投资限制，阻止它们入场（例如纳斯达克上市 / 10 亿美元市值）。 但如今情况已经变了，原因包括欧洲媒体把本地持有人洗出来、Sivers 即将登陆纳斯达克，以及市值突破 10 亿美元以上。 而且 13 亿美元对超大规模云厂商和美国机构来说真的只是零钱。 我很有把握他们很多都会想要接触 CPO、硅光和激光领域，因为全世界能做这类东西的公司本来就很少，比如 $LITE、$COHR 和 $MTSI。 尤其是……一家具备 CHIPS Act 背景的激光供应商，可能会出现在 $AMD、$MRVL、$AAPL、Lightmatter、Ayar、AlChip、GUC、O-Net 以及其他像 Golden Dome 这样的供应链里。 这部分也有博弈论因素，是为了积累股份。 因为现在美西方散户已经持有了相当大一部分流通股（来自瑞典卖盘）。 而美国机构现在也想要敞口。
原推 ↗英文原文
Fun fact: don’t think any large US institution had positions in $SIVE / $SIVEF since it was a majority owned local Swedish retail stock. There’s also fund mandates preventing US funds from entering (eg. Nasdaq listing / $1B MC) That’s definitely changed now thanks to European media shaking out the local holders, Sivers upcoming NASDAQ listing, and hitting $1B+ MC. Again $1.3B is literal spare change for hyperscalers and US institutions. And I have high confidence many would want exposure to CPO, silicon photonics and lasers, since there’s only a few in the entire world like $LITE, $COHR, and $MTSI. Especially… a CHIPS Act laser supplier likely in $AMD, $MRVL, $AAPL, Lightmatter, Ayar, AlChip, GUC, O-Net and other supply chains like the Golden Dome. Part of it is game theory for share accumulation. Since US/Western retail now owns a large part of the float (off of the Swedish sellers). And US institutions now want exposure.
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1.4 亿市值对激光供应链太小
@TVAFR786 14 亿美元市值算小吗？ 尤其如果他们的激光器很可能服务于 $AMD CPO、$MRVL CPO、$JBL 1.6T LRO、$AAPL 硅光、Ayar（AlChip）、Lightmatter、O-Net 终端客户（亚洲超大规模云厂商）以及其他项目。
原推 ↗英文原文
@TVAFR786 $1.4B MC is tiny? Especially if their lasers likely power $AMD CPO, $MRVL CPO, $JBL 1.6T LRO, $AAPL Silicon Photonics, Ayar (AlChip), Lightmatter, O-Net End users (Asian Hyperscalers), and others.
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SIVE 刚过 10 亿市值
有个有意思的事实，$SIVE 刚刚突破 10 亿美元市值门槛。 所以现在已经有少数美国机构可以买了（基金章程限制） 但绝大多数机构在它登陆纳斯达克之前还是买不了。 顺带一提： 如果最后真的能服务 $JBL、$AMD、$AAPL、$AMZN、$MSFT 等超大规模云供应链，那么 10 亿美元市值对美国机构来说其实只是零钱。 你只要看看 $LWLG，靠一份测试协议都能做到 19 亿美元市值。
原推 ↗英文原文
Fun fact, $SIVE just crossed the $1B MC threshold. So a select few US institutions are able to buy it now (fund mandates) However, the vast vast majority still can’t until they get listed on NASDAQ. Just an FYI: $1B valuations are spare change for institutional investors in US hyperscaler supply chains if they end up powering $JBL, $AMD, $AAPL, $AMZN, $MSFT and others. Just look at $LWLG, $1.9B MC off 1 testing agreement with $TSEM.
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中美 IPO 估值差异
对，这就是现在美国 IPO 的一个问题。 中国那边，Unitree 只给到 60 亿美元市值，而 SpaceX 的估值到 1.75 万亿美元，Anthropic/OpenAI 都到 1 万亿美元。美国市场的上行空间明显更受限。 但总会有下一个 Nvidia，正如最近 $AMD 从 3 美元涨到 300 多美元一样。
原推 ↗英文原文
Yeah, that's an issue with US IPO nowadays. Over in China, they're offering Unitree at $6B MC, while SpaceX gets 1.75T valuations and Antropic/OpenAI get 1T valuations. Upside is a lot more capped in US. But there's always the next Nvidia, as seen with $AMD going from $3 to $300+ recently.
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日本散户持仓是好信号
我很高兴日本社区在研究之后开始建 $SIVE 仓位！ 更强的国际股东基础总是正面的。 至于我的一些看法，市场现在看起来像这样： 1. $NVDA 把 $LITE / $COHR 的分配额度买走了 2. $AMD 的 CPO 走的是 $GFS + $SIVE / Win，剩下的激光供应可能会给 $LITE，如果还有分配的话。 3. 还有……$MRVL 的 CPO 不管怎样都需要激光器。 $SIVE 看起来是最后几家纯 merchant laser 供应商之一。 所以 Marvell 大概率会直接用 $SIVE（本来就符合 Celestial 规格），后面再多来源（也许是 $MTSI）。之后他们再把进入 Celestial 的中介封装 IP 垂直整合掉。 支持这个判断的有一些有意思的点： -> Ayar 把 $MTSI 和 $LITE 从官网上删掉了，改用了 $SIVE 作为主要供应商。Ayar 和 AlChip/GUC 等都有连接。 -> 如果看 $GFS 的幻灯片，在 $AMD 把 CPO 项目交给 GlobalFoundries 之后，只剩下 $SIVE 和 $LITE 两家公众公司。 -> $SIVE 很可能从去年开始就和 Win 有激光产能爬坡协议。 $NVDA 很可能还没把这些激光产能完全分配完，所以像 $JBL、$AMD 以及其他公司会把溢出订单给 Sivers。 因为 $LITE 已经暗示 2028 年的产能基本满了。 我可能也有错，但基于公开信息来看，情况就是这样。 至于为什么我认为它是个好长线： -> Sivers 基本上过去没怎么暴露在 800G 或更早的代际里。 -> 欧洲市场按过去 12 个月营收定价……所以之前估值一直被压得很低。 -> 它们拿到了 $NVDA 造成的超额需求。 但它们也正好站在 CPO 和甚至下一代 1.6T（$JBL LRO）扩产的最前沿，明年就会开始。 然后到 2027 年下半年或 2028 年，还能扩到硅光等相邻领域，比如可能的 $AAPL 消费设备。 或者 FMCW 4D AI 公司，比如 $AEVA。 这么多年开发，终于在明年要开花结果了。 我个人觉得市场漏掉了一个大东西，公开信息会随着时间推移慢慢被大家通过供应链关系、网站挖掘或者演示材料发现。 超大规模云厂商供应商不会无缘无故选一家 10 亿美元市值的瑞典激光公司。 和 $JBL 的直接合同就是最大的信号。 这也是我为什么高 conviction 做多。
原推 ↗英文原文
I'm happy Japanese communities started positions in $SIVE after doing research! A stronger international shareholder base is always positive. As for some thoughts, my read on the market looks like: 1. $NVDA bought out allocation from $LITE / $COHR 2. $AMD CPO went with $GFS + $SIVE / Win for remaining laser supply maybe $LITE if there’s still allocation. 3. And… $MRVL CPO will need lasers regardless. $SIVE looks like one of the last remaining pure play merchant laser suppliers. So Marvell will go with $SIVE (fits Celestial specs already) directly with multi-source down the road (maybe $MTSI). After they vertically integrate away interposer packaging process IP that feeds into Celestial. Just some interesting things to back that up: -> Ayar removed $MTSI and $LITE from their website and went with $SIVE as primary. Ayar’s connected to AlChip/GUC and others. -> If look at the $GFS slide there's only two public players with $SIVE and $LITE after $AMD went with Globalfoundries for their CPO program. -> $SIVE likely has agreements with Win since last year for laser capacity scaling. $NVDA likely hasn't fully allocated that laser supply, so the remaining companies like $JBL, $AMD, and others go to Sivers for overflow. Since $LITE signaled they were already fully allocated for 2028. I could be wrong, but just based on public information that’s what it looks like. As for why I think it's a good long: -> Sivers also basically had no exposure to 800G or previous generations. -> European markets price in previous 12 months revenue... hence previous depressed valuations -> they get all the hyperscaler overflow created by market panic from $NVDA But they also happen to be in the bleeding edge of CPO and even for gen-2 1.6T ( $JBL LRO) scaling next year in 2027. Then for H2 2027 or 2028, they scale in adjacent areas like Silicon Photonics for likely $AAPL consumer devices. Or FMCW 4D AI companies like $AEVA. Many many years of development, finally coming to fruition next year. I personally think markets are missing something big here, that the public uncovers over time with mapping hyperscaler relationships, website digging, or presentation slides. Hyperscalers suppliers don't randomly choose a $1B Swedish laser company for no reason. The direct contract with $JBL was the biggest signal of that. And it’s my high conviction long moving forward.
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SIVE 逻辑仍然完整
不，$SIVE 的 thesis 仍然完全成立，我还是认为它被低估了。 其中很大一部分原本是建立在 $JBL 1.6T 作为连接 CPO 放量的桥梁上。 但 $AMD 的 CPO 最终去了 $GFS，这件事把公司的风险大幅降下来了。再加上 $AAPL 的硅光市场，市场还没意识到。 我现在其实预期 $MRVL 也会像 $JBL 那样直接从 Sivers 采购。不过他们会先多来源，然后在买激光器之后把封装 IP 那一层垂直整合掉。 这长期看甚至可能比通过一个封装合作伙伴多一跳更能提升估值——像 Jabil、Marvell 这种直接接 T1 客户的方式。
原推 ↗英文原文
Nope, $SIVE thesis is fully in-tact and I still think it's undervalued. Lot of it was based on $JBL 1.6T bridging the gap into CPO ramp. But having $AMD CPO go with $GFS de-risked the company quite a massive amount. Then there's $AAPL SiPH markets don't know about yet. I'm honestly expecting $MRVL to buy directly from Sivers now like what $JBL did. But just multi-source + vertically integrate the packaging IP side of thing after buying lasers. That actually might increase the valuations more long term (direct to T1 like Jabil, Marvell) than one-hop through a packaging partner.
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LITE 的产能分配影响 AM D/MRVL
这不算好消息，但也没那么糟。 $LITE 的产能大概率已经分给了 $NVDA，这也是为什么 $AMD 的 CPO（大概率）会去用 $SIVE + $GFS，我是这么猜的。 $MRVL 大概会直接从 $SIVE 买货，然后多来源，可能再加上 $MTSI，并把封装层在内部设计掉。
原推 ↗英文原文
It's not good news. But it's not that bad either. $LITE likely has capacity allocated toward $NVDA, which is why $AMD CPO (likely) went with $SIVE + $GFS is my guess. $MRVL will probably just buy from $SIVE directly and multi-source, maybe $MTSI and design out the packaging side of things in-house.
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SIVE 业务很分散
哦，$SIVE 肯定没问题，因为它们已经高度多元化了。 它们大概基本上服务所有人： -> $AAPL 硅光 -> $JBL（可能最大） -> $AMD CPO 项目配合 $GFS， -> Ayar -> Alchip/GUC 和其他 ASIC 设计商 -> O-Net ELS 还有其他客户。虽然这会在实质上让 2028-2029 年后期的预测稍微往后推一些（比如 Q4 5 亿美元、2029 年 10 亿美元）。 但如果它们的光源最终以某种方式进了 Marvell，我也不会惊讶。
原推 ↗英文原文
Oh $SIVE is definitely fine, since they're vastly diversified. They likely basically serve everyone: -> $AAPL Silicon Photonics -> $JBL (probably largest) -> $AMD CPO program with $GFS, -> Ayar -> Alchip/GUC and other ASIC designers -> O-Net ELS amongst others. Though this does materially slow later 2028-2029 projections a bit (eg. $500m Q4 Celestial, $1B 2029). But wouldn't be surprised if their light source ends up in Marvell one way or another.
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SIVE 估值与客户映射
我现在给 $SIVE 的估值是 20 亿美元以上，并且认为它们明年能到 100 亿美元以上……2028 年还会更多。 它们在量产爬坡前可能已经有的用户： - $AMD CPO | $GFS - $MRVL CPO | $POET - $JBL 1.6T 光模块 - $AAPL 硅光 - $POET - Ayar - AlChip | Ayar - GUC | Ayar - O-Net ELS 还不算其他未确认的名字。 对一家 11 亿美元估值的激光公司来说，这简直离谱。甚至还没算上 TAM 扩张，比如新的超大规模云厂商客户，或者 $GOOGL / 三星跟着苹果走。 而且……“执行不确定性”其实已经被转嫁给 Win Semi，也就是 $AVGO 的代工方，所以这件事很让人安心。
原推 ↗英文原文
I value $SIVE $2B+ today, and think they can hit $10B+ next year... and more in 2028. Their likely existing users before volume ramp: - $AMD CPO | $GFS - $MRVL CPO | $POET - $JBL 1.6T Optical Transcivers - $AAPL Silicon Photonics - $POET - Ayar - AlChip | Ayar - GUC | Ayar - O-Net ELS Not including other unconfirmed ones. This is unholy coming from a laser company at a $1.1B valuation. And not even considering TAM expansion like new hyperscaler customers or $GOOGL / Samsung following Apple. Also... "execution uncertainty" is literally just passed along to Win Semi, the foundry for $AVGO, so this is chilling.
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SIVE 仍被严重低估
我还是觉得 $SIVE 被严重低估了。 市场好像只是慢慢开始意识到，它可能是 $AMD 的激光供应商？ 顺便说一句，在 $GFS 的演示材料里，唯一两家公开的激光公司就是 $SIVE 和 $LITE……而 AMD 的 CPO 项目最终走的是 GFS。 而且在 Ayar 的网站上，$SIVE 是唯一还留在上面、和 GFS 并列的公司，因为他们悄悄把 $LITE 和 $MTSI 从合作伙伴板块删掉了。 AlChip 和 GUC 也正好都是超大规模云厂商供应商里的大角色。 感觉 Sivers 的激光明年会出现在很多地方。
原推 ↗英文原文
Still think $SIVE is vastly undiscovered. Feels like markets are only slowly starting to realize the likely laser supplier for $AMD? The only two public laser companies were $SIVE and $LITE on the $GFS presentation by the way…. after AMD’s CPO program went the way with GFS. And $SIVE is the only one left alongside GFS on Ayar’s website after they silently removed $LITE and $MTSI from their partner section. AlChip and GUC also happen to be pretty big for hyperscaler suppliers too.. Feels like Sivers lasers are going to end up everywhere next year.
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AI 相关供应链全面拥堵
最近新闻和瓶颈的 TLDR，全部都在起飞： 1. CPU 瓶颈 - $INTC CEO 说 AI 推理把 CPU 比例从 1:8 推到了 1:1。 CPU 起飞（$AMD、Intel、$ARM）-> $AMAT / $TSM / $KLAC 等也跟着起飞。 2. PGME / PGMEA 短缺。DuPont、Shiny Chemical、Daxin、San Fu、$DOW 等都要起飞？ 光刻胶瓶颈也起飞？ 3. 微控制器潜在瓶颈 + 涨价（Arterytek / Arterychip）正在压缩 AI 产能。 MCU 公司可能也要起飞？ 4. 总统本周援引了《国防生产法》，里面包括： - 变压器 - 输电组件 - 先进导体 - 电力电子 - 变电站 - 高压断路器 - 保护继电器、 电容组 - 电气硅钢 这些都被称为“严重短缺”。像 $AMSC、$PLPC、$POWL、$VICR、$ATKR、$HPS.A 之类的也要起飞。 5. $GOOGL 在扩容新的 TPU 服务器。谷歌把 AI 芯片拆成训练 TPU 和推理 TPU。 台湾很开心。联发科等也要起飞？ 6. 三星、Kingston 把 SSD 价格上调了 10% 以上。 SSD 价格还会继续起飞？ 7. T-玻璃玻纤短缺还在恶化？Nittobo 等也继续起飞？ 8. 用于蚀刻电路和阻燃的关键材料溴，价格已经涨到每公吨 12,000 美元。 以色列的 ICL Group 似乎掌控了全球 40% 的供应？ 我对这个不算特别熟，但也有点可疑的起飞？ 9. “外延厂 Landmark Optoelectronics 报告称产量仍远低于客户需求”。 嗯 $IQE 和其他公司也要起飞？ 10. “AI 数据中心碰到互连限制，正在推高光模块需求”。“瓶颈不再只是算力，而是算力如何连接。” 来自 $AAOI、$LITE、$COHR、Innolight 等的光子链条继续起飞？下一代来自 $SIVE、$POET、$MRVL、Win Semi 等也起飞？ 基本上就是 AI 半导体供应链全面起飞，因为 AI 超大规模云厂商需求带来了到处都是的短缺。
原推 ↗英文原文
TLDR of recent news + bottlenecks that go brr: 1. CPU bottleneck - $INTC CEO said AI inference pushed CPU Ratio From 1:8 to 1:1. CPUs go brr ( $AMD, Intel, $ARM) -> $AMAT / $TSM / $KLAC, etc. go brr. 2. PGME / PGMEA shortage. DuPont, Shiny Chemical, Daxin, San Fu, $DOW and others go brr? Photoresist bottleneck go brr? 3. Microcontroller potential bottleneck + price hikes (Arterytek/Arterychip) was weighing price hikes on AI capacity squeezes. MCU companies potentially go brr? 4. President invoked the "Defense Production Act" this week, it included: -Transformers - transmission components - advanced conductors - power electronics - substations - high-voltage circuit breakers - protective relays, capacitor banks - electrical core steel As "severe shortages". Stuff like $AMSC, $PLPC, $POWL, $VICR, $ATKR, $HPS.A go brr. 5. $GOOGL ramps new TPU servers. Google splits AI chips into training and inference TPUs. Taiwan happy. Mediatek and others go brr? 6. Samsung, Kingston lift SSD prices by over 10%. SSD prices keep going brrr? 7. T-glass fiberglass shortages keep getting worse? Nittobo and others keep going brrr? 8. Bromine, essential for etching circuits and flame retardancy, has surged to $12,000 per metric ton. ICL Group in Israel apparently controls 40% of the global supply? Not as familiar with this but questionable brrr? 9. "Epitaxy manufacturer LandMark Optoelectronics reporting output still far below customer needs". Uhh $IQE and others go brr? 10. "AI data centers hit interconnect limits, boosting optical module demand". "the bottleneck is no longer computing power alone, but how that power is connected." Photonics from $AAOI, $LITE, $COHR, Innolight and others keep going brr? next gen from $SIVE, $POET, $MRVL, Win Semi and others go brr? Basically AI semi supply chains go brr because there's widespread shortages everywhere due to AI hyperscaler demand.
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DNB 为 SIVE 估值发声
赞同，也很高兴看到欧洲领先银行之一 DNB 跟我一起出来为 $SIVE 的估值辩护。 我还是认为，随着激光业务按比例扩张，$SIVE 一年内可以到 100 亿美元市值。其增长会按以下规模推进： - $AAPL Watch - $JBL 1.6T 量产 - $MRVL CPO 量产 - Ayar 量产 - $POET 量产 这取决于它们如何从认证阶段走向量产爬坡。 既然 Sivers 正在给这个领域里下一代 1.6T / CPO 玩家供应激光器（进入类似 $AMD、$NVDA、$AMZN、$MSFT 这样的供应链），那就是已经存在的玩家了，市值大约 9.9 亿美元而已。还没算 TAM 扩张或者更多合作出现。 尤其现在有了纳斯达克上市，美国机构会提前按 12 个月的前瞻来定价，而欧洲本地估值主要看过去 12 个月。 银行通常会给出很保守的目标（比如 3 年 10 倍），但我确实看到这家公司很快可能变成下一个 $LITE。 欧洲应该拥抱自己公司为超大规模云厂商供货所带来的正和增长。 因为它们的前沿公司会通过税收、经济增长和就业增长回馈本地。
原推 ↗英文原文
Agreed, and glad DNB, one of Europe's leading banks, went out to defend $SIVE valuations alongside me. I still think $SIVE can reach $10B MC in 1 year time as their laser growth scales proportionally to: - $AAPL Watches - $JBL 1.6T Volume - $MRVL CPO Volume - Ayar Volume - $POET Volume Depending on how their qualification plays out into volume ramp. As Sivers supply lasers to all the next generation of 1.6T/CPO players in the space (into ~ $AMD, $NVDA, $AMZN, $MSFT type supply chains). These are EXISTING players at a ~990M MC. Not even including TAM expansion or more partnerships coming up. Especially now with NASDAQ listing, US institutions are forward looking and price in ~12M ahead of time, compared local European valuations that mainly look at previous 12 months. Banks usually provide very conservative targets (eg. 3 years for a 10x), but I do see potential for this company to be the next $LITE very soon. Europe should embrace positive-sum growth of their own companies that supply to hyperscalers. As their frontier companies provide back to locals through taxes, economic growth, and job growth.
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被市场看空反而是机会
你会看到媒体、银行、分析师去做空 $RKLB，因为大家都觉得他们不可能和 SpaceX 竞争。 后来媒体又去做空 $AMD，因为大家觉得他们不可能和 $INTC（现在是 $NVDA）竞争。 但他们当时确实就是那个领域里的领导者，Rocket Lab 小型可重复使用火箭的成功就是证明。 只是很难一开始看出来，因为情绪总是先站在这些小公司对面，直到它们被“验证”之后才转向。 等它们被验证的时候，你已经错过全部上行了。
原推 ↗英文原文
You had the media/banks/analysts going after $RKLB because everyone thought they couldn't compete against SpaceX. Then you have the media going against $AMD because they couldn't compete against $INTC (and now $NVDA). They were genuinely the leaders in the space, as seen with Rocketlab success with their small reusable rockets. But it's hard to find because sentiment is always going against these small players until they get "validated". By the time they do, you miss out on all the upside.
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SIVE 让我想起早年的 AMD
@H0M3b 我看 $AMD 的时候，它十年前还在 3.5 美元附近，但大家都说他们打不过 $INTC。 还总说英特尔随时都能把他们干掉。 我对 $SIVE 和 $LITE 也有点类似的感觉？不过走着看吧。
原推 ↗英文原文
@H0M3b $AMD was $3.5 almost a decade ago when I was looking at it but everyone kept telling me they couldn't compete with $INTC. And that Intel could just beat them anytime. Kinda feeling the same with $SIVE and $LITE? But we'll see.
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从小众领导者里复制人生级收益
$RDDT 上最火的两条故事： 1. 用 $AMD 把 25.2 万美元做到 770 万美元 2. 用 $RKLB 把 16.7 万美元做到 220 万美元。 这些故事大概率是真的，因为你确实能在半导体到太空等不同产业里，找到这些小众领导者，从而改变自己的人生。 一次又一次都是这样。 关键在于： -> 找到这些利基行业里稀有的宝石 / 领导者。 -> 仓位要足够集中，才有意义。 -> 要有足够的 conviction 去熬过波动。 -> 让 thesis 自己走完（哪怕要跨几年）。 你已经多次看到我在光子链条里这样做了，比如 $AXTI、$IQE、$SIVE 等等。 但现在一切都被 AI capex 加速，5 年的东西被压缩成几个月。
原推 ↗英文原文
Two most viral stories on $RDDT: 1. Turning $252K -> $7.7M with $AMD 2. Turning $167K -> $2.2M with $RKLB. These stores are likely true, since it's possible to find these niche leaders to change your life around: Again and again across different industries with semis to space. What matters is: -> Finding these rare gems / leaders in a niche field. -> Having enough concentration, for it to matter. -> Having enough conviction to sit through volatility. -> Letting the thesis play out (even if it's across multiple years). You've already seen me do it multiple times with photonics like $AXTI, $IQE, $SIVE, and others. But everything is just speedran from 5 years to months due to AI capex acceleration.
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把 SIVE 激光供应链映射到各家客户
我现在已经对瑞典文化感到很有趣了。 当有人把 $SIVE 激光的供应链映射到下面这些名字时，他们的散户 / 记者每天都在哭： -> $MRVL CPO -> $AMD CPO -> $JBL 1.6T LRO -> $NVDA -> $AMZN、$META、$GOOGL、$MSFT -> 腾讯、百度、阿里用于 ELS。 然后他们还会哭得更厉害…… 当别人展示 $AAPL 是 Sivers 激光器的秘密超大规模云客户时（因为苹果下一代 Apple Watch 开发需要每年 5000 万台产能）。 给超大规模云厂商供货……会让本地人难受成这样，甚至想自毁吗？ 有个“瑞典专业人士”出来说 CPO 没什么新东西、也没什么特别，所以 Sivers 也没什么特别，这真的很可笑。 与此同时，$NVDA 正在给从 $MRVL 到 $LITE、$COHR 的每个 CPO 项目都砸 20 亿美元。 X 最酷的地方在于，你每天和全球各地的人互动，都会学到新东西。
原推 ↗英文原文
I'm amused by Swedish culture at this point. That their retail/journalists are crying every day when someone posts a supply chain mapping of $SIVE lasers to: -> $MRVL CPO -> $AMD CPO -> $JBL 1.6T LRO -> $NVDA -> $AMZN, $META, $GOOGL, $MSFT -> Tencent, Baidu, Alibaba for ELS. Then they go crying even further... When someone shows $AAPL is secret hyperscaler customer of Sivers lasers for their next-gen Apple Watch development (which requires 50,000,000 units annually). Does supplying to hyperscalers... Hurt locals's feelings that much to the point they try and self-destruct? It's hilarious that a "Swedish professional" went out and said CPO is nothing new and nothing special, so Sivers is nothing special. Meanwhile $NVDA is just funding every CPO program $2B from $MRVL to $LITE to $COHR left and right. Cool thing about X is you learn something new every day interacting with global audiences.
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SIVE 终局映射很夸张
$SIVE 可能在 2027-2028 年映射到的所有超大规模云厂商，光按 9 亿美元市值来看就已经夸张了。 市场根本不懂接下来会发生什么。 从推测性映射来看： > $SIVE -> $POET -> $MRVL -> 1. $AMZN（来自 Celestial 的光子 fabric 采购协议 / warrants） 2. $MSFT（maia） 3. $GOOGL（最近和 Marvell 的开发对话） $SIVE 为 Poet Starlight / 光学 interposer 提供激光，而且几天前 Poet 的 CFO 也确认他们正在给 Marvell 供货。 > $SIVE -> $POET -> “其他超大规模云供应商的 NDA” 1. 西方超大规模云厂商 > $SIVE -> $JBL（1.6T LRO）-> 1. $META（Jabil 承接了 $INTC 的硅光遗产，对应 Meta LRO 项目） 2. $NVDA（NVIDIA 可能把光模块 OEM 出去）-> $MSFT | AWS | 其他超大规模云厂商 $SIVE 是 $JBL 1.6T 光模块已确认的激光源。 > $SIVE -> Ayar（上个月为了量产爬坡融资 5 亿美元） -> 1. Alchip（联合 CPO） 2. Intel 3. GUC/Wiwynn -> $AMZN（Alchip） -> $AMD（来自 $GFS 合作的 CPO）也有可能。 $SIVE 已知是 Ayar 的激光供应商，而且 Ayar 最近把 $MTSI / $LITE 从网站上删掉了。现在只显示 $GFS + $SIVE，这很可能说明 Sivers 是主要激光供应商。 既然 $GFS x $AMD 最近合作了，那如果 AMD 走 Ayar 路线，Sivers 就可能成为其 CPO 项目的核心激光供应商。 > $SIVE -> Enablence -> O-Net（大型亚洲 OEM）-> 亚洲超大规模云厂商 1. $AVGO ELS（可能） 2. $META 和 $GOOGL ELS 3. ByteDance（可能）-> ELS 4. Tencent（可能）-> ELS 5. Alibaba（可能）-> ELS $SIVE 和 O-Net / Enablence 在 OFC 附近有 ELS 合作关系。 Sivers 激光由 Win Semi 之类的代工厂大规模生产……而且在最近的图片展示里，它们也验证在 $GFS 的 CPO 供应链中。 这不是在看 Sivers 今天靠认证收入能指引多少，而是未来每一个西方 / 亚洲超大规模云厂商在 2027、2028、2029 及以后对 CPO / 1.6T 的需求所对应的营收。 $SIVE 看起来是市场上最不被了解、但还没被真正反映出来的光子股票之一。
原推 ↗英文原文
All the hyperscalers $SIVE likely ends up in 2027-2028 is staggering at a $900m MC. Markets don't understand what's coming. From speculative mapping: > $SIVE -> $POET -> $MRVL -> 1. $AMZN (purchase agreement/warrants with photonic fabric from celestial) 2. $MSFT (maia) 3. $GOOGL (recent development talks with Marvell) $SIVE powers Poet Starlight/optical interposers, and Poet's CFO confirmed they're supplying to Marvell few days ago. > $SIVE -> $POET -> "NDAs other hyperscaler suppliers" 1. Western Hyperscalers > $SIVE -> $JBL (1.6T LRO)-> 1. $META (Jabil $INTC SiPH inheritance, maps to Meta LRO program) 2. $NVDA (NVIDIA possibly OEMs optical transceivers) -> $MSFT | AWS | hyperscalers $SIVE is the confirmed laser source for $JBL 1.6T optical transceivers. > $SIVE -> Ayar ($500m fundraiser last month for volume ramp) -> 1. Alchip (Joint CPO) 2. Intel 3. GUC/Wiwynn -> $AMZN (Alchip) -> $AMD (CPO from $GFS partnership) possible. $SIVE is known laser supplier to Ayar, and Ayar removed $MTSI / $LITE from their website recently. Only showing $GFS + $SIVE, likely showing Sivers was primary laser supplier. As $GFS x $AMD partnered up recently, that makes Siver a possible core laser supplier for $AMD's CPO program if they go with Ayar. > $SIVE -> Enablence -> O-Net (massive Asian OEM)-> Asian Hyperscalers 1. $AVGO ELS (possible) 2. $META and $GOOGL ELS 3. ByteDance (possible) -> ELS 4. Tencent (possible) -> ELS 5. Alibaba (possible) -> ELS $SIVE ELS partnership with O-Net/Enablence around OFC. Sivers lasers is mass produced by foundries like Win Semi... and they're validated in $GFS CPO supply chains too from their recent image presentations. It's not about what Sivers is forecasting today from qualification revenue that everyone models off of. Alpha comes from future revenue proportional to demand from every Western/Asian hyperscaler for CPO/1.6T in 2027, 2028, 2029, and onward. $SIVE looks like one of the most unknown photonic stocks on the market that's yet to come.
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AMD 之外的主要受益者
@northyvt 我觉得除了 $AMD 之外，$TSM 和 OSAT / 先进封装合作伙伴会是主要受益者？ 也许 $AMAT、$LRCX、$KLAC、$ASML 以及其他公司也会受益？ $INTC 也有他们最近回购回来的自有工厂，所以也挺开心的。
原推 ↗英文原文
@northyvt I feel like $TSM and OSAT/advanced packaging partners are the main beneficiaries apart from $AMD? Maybe like $AMAT, $LRCX, $KLAC, $ASML and others too? $INTC also have their own fabs that they bought back recently so it's happy.
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CPU 开始像存储一样短缺
CPU “严重短缺” 现在看着 CPU 一天天变得越来越像存储，挺好笑的，像 $SNDK 那样不断涨价。 “自 3 月以来，服务器 CPU 已上涨 10% 到 20%” $INTC 和 $AMD 计划在 Q3 继续涨价。 “CPU 供应很可能在 2026 和 2027 年继续紧张”，其中“Intel 的服务器 CPU 短缺可能长达 6 个月，AMD 则为 8 到 12 周”。 $TSM 也在因这波短缺而增加 capex。 “恐慌的主要原因是 CPU 和 AI ASIC 需求同时爆发；目前库存包括 Intel、AMD 主流代际 CPU，以及 $NVDA 即将推出的 Vera CPU，全部都在 3nm 工艺上。” 看起来我们又绕回来了？
原推 ↗英文原文
CPU "serious supply shortage" It's still funny to see CPUs become more like memory day-by-day with the price hikes like $SNDK. "Server CPUs have jumped between 10% and 20% since March" with $INTC and $AMD planning to further price hikes Q3. "CPU supply is likely to remain tight through 2026 and 2027" with "server CPU shortages reaching up to six months for Intel and 8-12 weeks for AMD" $TSM is also increasing capex in response to this shortage. "The main reason behind the fear is the simultaneous outbreak of CPU and AI ASIC demand; inventory currently includes Intel, AMD mainstream generation CPU, and $NVDA's upcoming Vera CPU, all using 3nm process Looks like we've come full circle?
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SIVE/LPK 是 2027 新技术
嗯。CPO / 玻璃基板这块，可能就是 $SIVE 或 $LPK，因为它们都是 2027 年会出现的新技术变化。 我真的不觉得市场已经理解了 Sivers 在 CPO / 1.6T 光模块上会发生什么……即便我已经把它映射到 $AMD 或 $MRVL 的 CPO 项目里。 LPKF Laser 也让我觉得风险被降低了，因为我们知道玻璃核心基板是马上要来的，而且它们在很小的估值下就掌握了一个根本性卡点。
原推 ↗英文原文
Hmmm. Probably $SIVE or $LPK for CPO/Glass Substrates since those are emerging technological shifts in 2027. I really don't think markets understand yet what's up and coming with Sivers for CPO/1.6T optical transceivers... even if I show mapping to $AMD or $MRVL CPO programs. LPKF Laser feels de-risked since we know glass core substrates are up and coming and they hold a fundamental chokepoint at tiny valuations.
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AMD 的 CPO 供应链
哇……如果 AMD 走 Ayar 路线，并在 $GFS 上推进，那么 Sivers 看起来就是 $AMD CPO 项目的主要激光供应商。 有意思的是：$LITE 和 $MTSI 曾经被悄悄地、按顺序从 Ayar 的网站上移除了。 （特别感谢我的一位关注者 Setian 发来私信。） 所以 $SIVE 很可能先成为 Ayar 一代产品的主要激光供应商……进而成为经由 Alchip 或其他 ASIC 设计公司流转的所有 Ayar 客户的供应商。 Ayar 上个月还为了量产融资 5 亿美元，而 $SIVE 已经被设计进去。 这个发现对 $SIVE 来说结构上非常重大，因为它削弱了 $LITE 等公司作为主要供应商的叙事。 尤其也削弱了市场对 $SIVE 在 CPO 里只占很小激光份额的说法，如果它们很可能就是主要激光供应商的话。
原推 ↗英文原文
Woah... Sivers looks like the primary laser supplier to $AMD's CPO program if AMD goes the Ayar route at $GFS. The interesting thing is: $LITE and $MTSI were silently removed from Ayar's website sequentially over time. (Special thanks to one of my followers Setian for the DM.) So $SIVE likely became the primary laser supplier for Ayar first-gen... and by extension for all of Ayar's customers routing through Alchip or other ASIC design firms. Ayar also raised $500M last month for VOLUME PRODUCTION, where $SIVE is designed in. This find looks structurally massive for $SIVE as it undercuts narratives about $LITE and others being primary suppliers. And especially about $SIVE having only a small % laser share for CPO if they're likely to be the primary laser supplier.
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瑞典媒体看不懂光子学
我真的笑了。这大概是我目前见过最搞笑的标题了，自从 $RPI 那次之后。 你会看到瑞典那些不懂技术的记者，对半导体 / 光子学一窍不通。 他们在分析 $SIVE，还告诉所有本地人（大多数持股者）赶紧卖掉，因为它只是个“meme”。 他们不懂围绕即将到来的 $JBL 1.6T 或 $MRVL CPO 放量的超大规模云厂商认证周期吗？ 也不懂它刚刚被验证为 $GFS 生态里的激光供应商，而且 $AMD 正在推动新的 CPO 需求吗？ > 一定是 meme。只能按 2025 年 TTM 资产负债表和旧营收预测来估值，对吧？ 至少这种波动有助于在明年 CPO / 1.6T 关键拐点之前，把控制权转给美国投资者 / 机构。
原推 ↗英文原文
I'm genuinely laughing. This is gotta be the funniest headline I've seen to date since $RPI. You have non-technical journalists in Sweden, with no understanding of semiconductors/photonics. Doing an analysis on $SIVE and telling all the locals (who hold majority) to sell, because it's a "meme". Don't understand hyperscaler qualification cycles from upcoming $JBL 1.6T or $MRVL CPO ramp? Or the fact they just got validated as the laser supplier in $GFS ecosystem with $AMD driving new CPO demand? > Must be a meme. It's only possible to value a company based on TTM 2025 balance sheets and old revenue projections right? At least this volatility helps transfer control over to US investors/institutions before CPO/1.6T inflection point next year.
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AMD/GFS 的 CPO 反而利好 SIVE
$AMD 和 $GFS 的 CPO 公告，对 $SIVE 的影响可能比市场预期更大。 在这个消息下，$SIVE 激光很可能会支持 AMD 的 CPO 项目。 可能有两条路径： 1. Enosemi（AMD 在收购后做的内部 PIC 设计）。Enosemi 的芯片小片由 GF 代工，但对于 ELS，$AMD 可能会从多家供应商采购，而 $SIVE 可能是底层多来源激光源。 2. Ayar（AMD 在 2026 年 3 月投资，Series E）。Ayar 的 SuperNova 光源已经和 $LITE 一起使用了 $SIVE 的 DFB 激光阵列。 由于时间线和上个月那次巨额融资，Ayar 的 SuperNova 很可能是 MI500 在 2027 年的第一代 CPO 路径。那条路径已经把 $SIVE 设计进去了，而且它和 $LITE 都出现在 $GFS 的幻灯片里。 Enosemi 也许会在 2028 年及以后几代里更重要？ 不管怎样，$AMD 通过 Enosemi / Ayar 还是需要激光器来支撑他们 2027 年的 MI500 上市…… 看起来 Sivers 很可能会作为光源，支持 AMD 的 CPO 项目，因为它已经被设计进 Ayar 了。 $AMD / $GFS 这条线对 Sivers 的重要性看起来很大。
原推 ↗英文原文
The $AMD and $GFS CPO announcement is probably bigger than markets expect for $SIVE. With the news, it's likely $SIVE lasers power $AMD's CPO program. Either through two potential paths: 1. Enosemi (AMD's in-house PIC design post-acquisition). Enosemi's chiplets are fabbed at GF but for the ELS, $AMD could source it from multiple players with $SIVE as the underlying multi-source laser source. 2. Ayar ( $AMD invested in March 2026, Series E). Ayar's SuperNova light source already uses $SIVE DFB laser arrays alongside $LITE. Ayar's SuperNova is the most likely first-gen CPO path for MI500 in 2027 given timelines and the enormous fundraise last month. That path already has $SIVE designed in alongside $LITE and they both appear with $GFS's slide. Enosemi becomes more relevant for 2028+ generations? Regardless, $AMD through Enosemi/Ayar needs lasers for their 2027 MI500 rollout... It seems likely Sivers ends up powering $AMD's CPO program as the light source since they're designed into Ayar. The $AMD / $GFS materiality looks large for Sivers.
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连续催化都对 SIVE 有利
这真的是巧合，催化剂一个接一个（$JBL）之后是纳斯达克上市，然后是（$GOOGL + $MRVL），再然后是（$GFS），再然后是（$GFS + $AMD）。 再加上 $NVDA 在到处投资 CPO。 我只是 OFC 之后才做多，没想到后面会有这么多事情，哈哈。
原推 ↗英文原文
It's legit coincidence that it's catalyst ( $JBL ) after catalyst (Nasdaq listing) after catalyst ( $GOOGL + $MRVL ), after catalyst ( $GFS ), after catalyst ( $GFS + $AMD ). Alongside $NVDA investing into CPO everywhere. I just timed my long after OFC but did not expect all of this lol.
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AMD 进军 CPO 对 SIVE 很利好
什么疯狂时间线？ 今天，$AMD 宣布要进入 CPO，并和 $GFS 合作。 这对 $SIVE 非常利好，因为 CPO / SiPH 需要外部激光光源。 而且……猜猜 GlobalFoundries CPO 生态里那两家公开激光供应商是谁？ $SIVE（大约 9.35 亿美元）和 $LITE（大约 640 亿美元） Sivers 的激光现在看起来真的可能会出现在未来所有超大规模云厂商的 CPO / 1.6T 部署里。 所以……如果 Sivers 能拿下为 $AMD Instinct MI500 的 CPO 方案提供激光阵列的位置。 （这看起来很有可能，因为目前列出的激光名字只有三个，而且超大规模云厂商喜欢多来源） 这可能意味着 Sivers 会迎来市场还没定价进去的大规模高量产。
原推 ↗英文原文
What a crazy timeline? Today, $AMD announced it's pushing into CPO and collaborating with $GFS. This is highly bullish for $SIVE since for CPO/SiPH, it requires external laser light source. And... guess who are the two public laser suppliers in the GlobalFoundries CPO ecosystem? $SIVE (~$935m) and $LITE (~$64 billion) Sivers lasers feel like they could be everywhere now in upcoming hyperscaler CPO/1.6T deployments. So... if Sivers secures the spot to provide the laser arrays for the $AMD Instinct MI500's CPO solution in 2027. (Which seems highly possible given there’s only three laser names listed + hyperscalers like to multi-source) This might represent massive, high volume production for Sivers that markets haven't pricing in.
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两周内多数持仓股大涨，长期逻辑不变，短期入场点决定10-20%收益差异。
哇，大部分这30只我喜欢的股票两周内都涨了很多（给新来的朋友们做个回顾）顺便说一下，我对它们任何一只的长期看法都没有改变，从$MRVL、$AMD、$ARM到其他的。短期入场点位是会变的，比如从$AAOI到$AEHR，而这些点位差异会产生+10-20%的不同。我在做新布局时，分析中会花很多精力在"未被发掘"的标的上，比如Riber或$SIVE或$RPI或$IQE->等待它演绎出来。但去年关于$LITE或$NBIS或$AXTI的论点还是一样的。我不需要反复发布相同的论点，因为它已经不是新东西了。但它们之所以不再是新的，是因为市场已经验证了这些论点，正在因此对股票进行实时重新定价。
原推 ↗英文原文
Wow, majority of these 30 stocks I’ve liked are up a lot in just two weeks (just a recap to new folks) By the way, my long term opinion doesn’t change on any of them from $MRVL, $AMD, $ARM and others. Short term entry points do though with names like $AAOI to $AEHR. And they make the difference between +10-20%. I focus a lot about the “undiscovered” ones like Riber or $SIVE or $RPI or $IQE in analysis when I make a new entry -> wait for it to play out. But the same thesis around $LITE or $NBIS or $AXTI from last year is still the same. And I don’t need to post that same thesis multiple times, since it’s not new anymore. But the reason they’re not new is because markets have validated the thesis and are repricing the stocks live because of them.
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分析$POET低风险高现金特征及作为$MRVL独家供应商的投资逻辑
这事很微妙。$POET 下行风险低，因为大家都已经被稀释过了。 所以他们的现金储备约$4亿对比市值，缓冲了下行风险。 所以企业价值(EV)约$4-5亿，这对作为$MRVL独家供应商来说很划得来，即使几年后被技术替代。我还没看到他们有更多主要客户的多元化，这令人担忧。但如果他们真能轻松做成几十亿的公司，其他人可以去冒这个风险。 如果你看我个人选的股票，像$AEHR（也许还有$GOOGl、$AMD、$INTC，以及另一个光收发器客户）。 像$SIVE 一样，同样的$MRVL、$JBL、Ayar -> Alchip，以及其他市值更低的公司。
原推 ↗英文原文
It's nuanced. $POET has low downside risk because everyone already got diluted. So their cash balance sheet is extremely high ~$400m vs. MC, which cushions downside risk. So EV is like $400-500m which is great for the sole source $MRVL Celestial supplier, even if they get engineered out in a few years. I haven't seen them have more lead customer diversification yet, which is concerning. But if they do easily few billion company, and other ppl can take that risk. If you look at the names I personally pick like $AEHR ( maybe $GOOGl, $AMD, $INTC, and another optical transceiver customer). With stuff like $SIVE, it's the same $MRVL, $JBL, Ayar -> Alchip, and others at a lower MC.
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认为 AEHR 未来量产爬坡是核心，当前财务无法体现。
$AEHR 的财报应该会很有意思。 我以前没见过这么多超大规模客户 / 光收发器（可能是 $AMD、$GOOGL、$INTC 等）公司去给一家 13 亿美元市值的小公司做资格认证。 我猜也许下一次财报里，我们会看到更多量产爬坡的指引？他们上周才刚开始和那家新的光收发器公司做资格认证。 如果这次财报就发生那当然更好。市场是前瞻的，所以很多重估其实现在就会开始。
原推 ↗英文原文
$AEHR earnings should be fun. I haven't seen so many hyperscalers/optical transceiver (prob $AMD, $GOOGL, $INTC, and others) companies qualifying a small $1.3B company before. My guess is maybe next earnings, we'll see more volume ramp projections? They just begun qualification with that new optical transceiver company last week. Would be nice if it happened this ER though. Markets are forward looking, so a lot of the repricing would happen around now imo.
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认为太多超大客户在资格认证 AEHR，量产一切就会被重估。
我从没见过一家公司被这么多超大规模客户 / AI 公司同时做资格认证……感觉像是 $AMD、$GOOGL、$INTC 之类的，还有更多光学公司，排队名单实在太夸张了。 只要他们一切换到量产订单，这一季或者下一季的 $AEHR 财报大概率都会像火箭一样冲出去。 至于时点，我帮不了你。长期看我觉得它会高很多，短期我不确定。
原推 ↗英文原文
I haven't seen a company get so many hyperscalers/AI companies qualifying it before... think it's $AMD, $GOOGL, $INTC, and more optical companies, so line up is kinda insane. This or next $AEHR earnings will likely hit like a truck once they all switch to volume orders. As for timing, can't help you there. Long term I think it will go much higher, short term not sure.
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认为 AEHR 在小市值下被低估，正被多家超大客户做资格认证。
$AEHR 在大约 11 亿美元市值下看起来极有吸引力。 Aehr 开始让我想起早期的 $TER，又有点像财报前的 $AAOI。 如果把时间线和猜测客户列出来： 2 月 11 日：Sonoma 为超大客户的 AI ASIC 处理器拿到生产胜利。（大概率是 $GOOGL、$AMZN、$META） - 可能是谷歌？Aehr 收购了 Incal，而 Incal 曾被猜测会被谷歌用于 TPU。 2 月 26 日：来自 AI 主力客户的 1400 万美元。（大概率是 $AMD、$NVDA） - 这里更像是 $AMD，用于 Instinct MI300/MI400。 3 月 3 日：一台 FOX-XP 系统对应的主硅光客户。（大概率是 $INTC siph） - 很可能 $INTC 就是他们的主客户。 3 月 31 日：来自一家新的大型硅光客户的首单。（大概率是 $AVGO、$MRVL、$CSCO） - 新客户（排除了 Intel），大概是这些正转向 800G/1.6T 硅光收发器的公司之一。 （这些都属于非常保密的 BOM 级推测） 不管怎样，这条时间线对 $AEHR 来说就是在不断加码。 也许就是下一次财报。也可能再过两季。 但感觉量产订单只是时间问题。
原推 ↗英文原文
$AEHR looks extremely promising at ~$1.1B MC. Aehr is starting to remind me of an early $TER, mixed with pre-earnings $AAOI. If we look at the timeline and speculated customers: Feb 11th: Sonoma production win for Hyperscaler's AI ASIC processors. (likely $GOOGL, $AMZN, $META). - Probably Google? Aehr bought Incal, who was speculated to be used by Google for their TPUs. Feb 26th: $14 million from AI lead customer (likely $AMD, $NVDA) - Probably $AMD here for Instinct MI300/MI400. March 3rd: Lead silicon photonics customer for one FOX-XP system (likely $INTC siph) - Very likely $INTC has been their lead customer. March 31st: Initial order from major new silicon photonics customer (likely $AVGO, $MRVL, $CSCO ) - New customer (rules out Intel), prob one of these transitioning to 800G/1.6T silicon photonics transceivers (All speculative, very confidential BOM) Regardless. This timeline is just bottling up for $AEHR. Could be next earnings. Or two quarters from now. But feels like a matter of time before we see mass orders.
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认为对 MU 和 AMD 来说都是好消息，只是不喜欢市场把合同义务武器化。
@Mismo_Mktg 对 $MU 到 $AMD 这些公司来说，当然都是好消息。 我只是对他们为了走到这一步而把合同义务武器化感到很烦。
原推 ↗英文原文
@Mismo_Mktg Oh it’s great news for sure from everything like $MU to $AMD. I’m just annoyed how they weaponized contractual obligations to get there
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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。
原推 ↗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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用 AMD 作为类比，认为 SIVE 的上游光源瓶颈会被市场低估。
回想 AMD 还是 3 美元一股的时候： 当时行业共识是，INTC 会把它留着，只是为了所谓的“垄断”目的，所以它不会被颠覆。 结果 AMD 最后涨了 66 倍，现在市值已经 3300 亿美元以上。 我在 $SIVE 身上也看到同样的东西。 你拿 140 亿美元市值的 Furukawa、190 亿的 $MTSI、550 亿的 $LITE 来比，说它们在位置上比 $SIVE 更好。 但市场实际上已经把这些差异充分体现在市值里了。 很多人没看懂的是：你面前有一家 3 亿美元出头的公司，已经被设计进 $MRVL 的被动超大规模云供应链里。 再往下像 Ayar -> $JBL 这样的链条也是一样。 在 3 亿美元市值下，$SIVE 的上行空间巨大，而且风险已经被市场体现得很充分。
原推 ↗英文原文
Back when $AMD was $3 a share: The industry consensus was $INTC was keeping them around just for "monopoly" purposes and they wouldn't be disrupted. $AMD went up 66 times and is now a $330B+ MC. Seeing the same thing with $SIVE. You're comparing $14B companies like Furukawa, $19B with $MTSI, $55B with $LITE and saying they have a better position than $SIVE. It's clearly reflected in the marketcap already. What people misunderstand is that you have a $300m company already designed into captive hyperscaler supply chains in $MRVL. Then ones like Ayar -> $JBL... At a $300m MC. Upside on $SIVE is enormous here, and the risk is reflected in the MC.
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ARM 发布 AGI CPU，认为架构上解决短缺，但物理产能仍主要利好 TSM。
$ARM 宣布推出一款叫“AGI CPU”的新 AI 芯片。 根据 Arm 的说法，这项业务“预计会增加数十亿美元的年收入”。 - 136 个 Neoverse V3 核心，基于 $TSM 3nm 工艺 - 针对“agentic AI”工作负载定制，OpenAI 和 $META 是首批客户 $AMD 和 $INTC 近期都受益于企业 CPU 短缺。 你可能会问： ARM 能解决这种短缺吗？从架构上说，可以。 从物理产能上说，不行。 最大受益者是 $TSM，但这对转向授权之外业务的 $ARM 来说，也是一个很大的利好。
原推 ↗英文原文
$ARM announces new AI chip called "AGI CPU" According to Arm, the company "Expects it to add billions in annual revenue". - 136 Neoverse V3 cores, built on $TSM 3nm process - Custom-built for "agentic AI" workloads with OpenAI and $META as lead customers. $AMD and $INTC have recently received a tailwind from enterprise CPU shortage. You might be wondering: Does ARM Solve the Shortage? Architecturally, yes. Physically, no. Main beneficiary is $TSM, but this is a large tailwind for $ARM moving forward as they pivot from licensing.
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认为到 2028 年热管理会成为巨大瓶颈，尤其当新芯片功耗逼近 2000W。
@pioter_pan 热管理到 2028 年会成为一个巨大的瓶颈，尤其是当新的 $NVDA 或 $AMD 芯片接近 2000W+ 功耗的时候。
原推 ↗英文原文
@pioter_pan Thermal is gonna be a huge bottleneck in 2028 especially as new $NVDA or $AMD chips approach 2000w+
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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。”
原推 ↗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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赞赏投资者打破思维定势，克服路径依赖以追求更高回报。
真心赞赏你愿意打开心态。我最初加入 X 时看到的许多 FinX 投资者，尽管市场格局已发生诸多变化或存在高估，其持仓组合仍停留在 $PLTR、$HOOD、$IREN、$AMD 这类股票上。审视其他趋势，并换掉持有了一段时间的股票以追求更好的回报，这比预期中要难得多。
原推 ↗英文原文
Honestly applaud you for opening up your mindset. A lot of the FinX investors I've originally seen when I first joined X still have the same $PLTR, $HOOD, $IREN, $AMD type portfolios, despite a lot of shifts or overvaluation. It's a lot harder than expected to look at other trends and change your stock that you held for awhile to chase better returns.
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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。
原推 ↗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 $AMD export controls on Thursday.
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驳斥NVDA/AMD出口管制误报，指出媒体煽动性报道影响算法。
我相当确定两者之间存在某种中间地带，甲骨文(Oracle)可能会推迟部分计划，而OpenAI/甲骨文通过CNBC发布消息表示建设仍在继续。 彭博社(Bloomberg)经常发布极其耸人听闻的文章，算法通常会随之跟进。 不过，昨天关于$NVDA和$AMD的虚假出口管制报道尤其恶劣。
原推 ↗英文原文
Pretty sure there’s some middle ground between the two with Oracle maybe delaying some parts of it while OpenAI/Oracle via CNBC putting out that the buildout is continuing. Bloomberg runs extremely sensational articles and algorithms usually follow that. Yesterday’s false export control reporting on $NVDA and $AMD was especially egregious though.
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美商务部辟谣AI扩散规则回归，称算法抛售半导体报道不实。
美国商务部发布报告回应路透社和彭博社：“今天有报道称我们将恢复人工智能扩散规则。我们不会。该规则负担沉重、过度越权且后果灾难性。” 此前关于 $NVDA 和 $AMD 的报道，称算法正在抛售半导体股票，从头到尾都是虚假的。
原推 ↗英文原文
US Department of Commerce put out a report in response to Reuters and Bloomberg: “Today there was reporting that we were returning to the AI diffusion rule. We will not. It was burdensome, overreaching, and disastrous.” The reporting around $NVDA and $AMD, that algorithms have been selling off semis on was false all along.
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驳斥彭博社误报出口管制草案引发半导体供应链恐慌性抛售。
彭博社刚刚引发了半导体市场的崩盘。凭记忆，受影响的标的从 $EWY 和 $SNDK 到 $NVDA 和 $TSM 都有。起因是假新闻。这简直是路透社关键矿产误导性报道的2.0版本。肯定得有人为此负责？
原推 ↗英文原文
Bloomberg just caused a semiconductor market crash. From memory names in $EWY and $SNDK to $NVDA and $TSM. Off fake news. This is Reuters critical minerals misleading reporting v2. Certainly someone needs to be held accountable? https://t.co/YaBNpl8nFB
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澄清AI芯片出口管制仅为提案，驳斥误报引发的供应链恐慌。
“美国正考虑要求全球 $NVDA、$AMD AI 芯片销售需获许可” 市场正对特朗普政府拟对英伟达实施类似 $AXTI 出口管制待遇的消息做出剧烈反应。 关键词：提案 | 草案。 该提案原样通过的可能性几乎为零。 随着消息报道，科技公司很可能正在游说政府。 文章中提到： 特朗普政府将提出法规，要求全球 AI 芯片出货需经美国批准。 该法案的结果将毫无理由地造成 AI 贸易瓶颈，并损害特朗普最看重的指标：美国股市。 特朗普曾以废除拜登时代的 AI 扩散规则而闻名： “包括英伟达、微软和甲骨文在内的主要美国科技公司曾游说反对该规则，认为其可能导致数十亿美元收入损失，并促使合作伙伴转向中国技术。” 因此，新政策的实施将与其议程背道而驰。 不幸的是，其他文章和新闻将其改写为迫在眉睫的出口管制，而非提案。 耸人听闻/虚假的标题报道引发了从 $TSM、$NVDA 到 $MU 的整个供应链今日的大幅抛售。 然而，人们确实有权对潜在影响感到担忧。
原推 ↗英文原文
“US Mulls Requiring Permits for Global $NVDA, $AMD AI Chip Sales” Markets are reacting violently to news of the Trump administration was thinking about giving Nvidia the $AXTI export control treatment. Keyword: Proposal | Draft. There is an almost zero chance it passes as is. Tech companies are likely lobbying the administration as this gets reported. In the article: The Trump administration will propose regulations that would require American approval for AI chip shipments worldwide. The result of this bill would bottleneck the AI trade for no reason and harm Trump’s favorite metric: the US stock market. Trump was known for rescinding the Biden-era AI Diffusion Rule: “Major U.S. tech firms, including Nvidia, Microsoft, and Oracle, lobbied against the rule, arguing it could cost them billions in revenue and push partners towards Chinese technology.” So a new policy getting enacted, would be counterintuitive to his agenda. Unfortunately other articles + news on elsewhere reworded this as an imminent export control, rather than a proposal. Sensational / false headline reporting triggered a massive selloff of the entire supply chain from $TSM, $NVDA, to $MU today. However, people do have a right to be worried about the implications.
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解析$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）。
原推 ↗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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供应链瓶颈等权重组合周涨12.83%，全红表现惊人。
基于供应链映射的“瓶颈ETF”。 没有一只股票是红色的（下跌）。 等权重组合1周收益：+12.83%。 名单： $LITE: +31.68% $AMKR: +28.7% Disco: +24.35% $GLW: +23.57% $COHR: +23.5% $ONTO: +18.4% $CAMT: +17.7% $TSM: +15.8% $ON: +15.8% Samsung: +15.4% $KLAC: +12.7% $APH: +11.6% $MRVL: +11.4% $MU: +10.6% $MOD: +10.6% Sk Hynix: +10.31% $VICR: +9.6% $AVGO: +9.46% $SBGSY: +9.27% $ETN: +9.1% $BESIY: +8.53% $IFNNY: +7.37% $MPWR: +6.85% $SNDK: +6.4% $QLCM: +6.12% $AMD: +6.01% Mediatek: +6% Kioxia: +3.68% $INTC: +1.62% 我觉得机构是不是直接把上周框架里的这份名单全买了？ 这种表现水平简直太疯狂了。
原推 ↗英文原文
The "Bottleneck ETF" from supply chain mapping. Not a single name red. Equal weighted results 1W: +12.83%. List: $LITE: +31.68% $AMKR: +28.7% Disco: +24.35% $GLW: +23.57% $COHR: +23.5% $ONTO: +18.4% $CAMT: +17.7% $TSM: +15.8% $ON: +15.8% Samsung: +15.4% $KLAC: +12.7% $APH: +11.6% $MRVL: +11.4% $MU: +10.6% $MOD: +10.6% Sk Hynix: +10.31% $VICR: +9.6% $AVGO: +9.46% $SBGSY: +9.27% $ETN: +9.1% $BESIY: +8.53% $IFNNY: +7.37% $MPWR: +6.85% $SNDK: +6.4% $QLCM: +6.12% $AMD: +6.01% Mediatek: +6% Kioxia: +3.68% $INTC: +1.62% I feel like institutions just bought this entire list from last week's framework? This level of performance is pretty crazy.
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作者澄清持仓结构相似但权重不同，并对比自身交易风格与长期持有者。
如果你读了那篇帖子，我提到我的个人投资组合看起来不同且权重不同。但从结构上看，它与上述内容相似。 另外，我是一名日内/波段交易者，我的持仓变动很大。如果你想要稳定性，还有其他人全仓持有 $DUOL、$HIMS 和 $AMD 且从不调整。
原推 ↗英文原文
If you read the post, I mentioned my personal portfolio looks different and has different weightings. But looks structurally it’s similar to above. Also I’m a day/swing trader, my positions change a lot. If you want consistency there’s others that are all in $DUOL, $HIMS, $AMD and never change.
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梳理AI半导体供应链瓶颈，看好存储、光子及台积电，指出中游为定价关键。
以下是我对 Semivision 瓶颈总结的 TLDR（太长不看版）及其映射到投资框架的内容： HBM（高带宽内存）： HBM4 (16Hi) - 三星，SK 海力士，$MU HBF（高带宽闪存）- $SNDK，Kioxia Base Die（基础晶圆）- $TSM，三星（内部） CPO（共封装光学）/光子学： 玻璃基板：$GLW，$INTC，Ibiden 光学：$LITE，$AVGO，$COHR，$MRVL 电力传输： 电压：$MPWR，$VICR 散热：$VRT，$NVT，$MOD 电网：$ETN，$SBGSY SiC/GaN（碳化硅/氮化镓）：$ON，$IFNNY 机架：$APH N2 产能： $TSM，$AMD（数据中心先行者），$QLCM，联发科，$NVDA 先进封装： 良率：$CAMT，$ONTO，$KLAC OSATs（外包半导体组装与测试）：$AMKR $BESIY，Disco Semivision 的总结： 1. “先进封装产能与良率控制” 2. “HBM 生态系统协调” 3. “电力传输创新（SiC、GaN PMICs、机架级电源架构）” 4. “CPO/光子学集成能力” 5. “数据中心基础设施作为半导体收入实现的‘隐性限制因素’” 正如你可能知道的，我对上述的存储/光子学领域（如 SK 海力士/三星，$SNDK，$MU，$LITE）以及 $TSM 最为看好。 我可能会稍微向上游延伸，比如 $AXTI（磷化铟前驱体），但中游玩家是瓶颈所在，并掌控大部分定价权。 但为了简化普通散户投资者的理解，我添加了相关公司的评论。
原推 ↗英文原文
Here's my TLDR + mapped into investment framework from Semivision bottleneck summary: HBM: HBM4 (16Hi) - Samsung, Sk Hynix, $MU HBF - $SNDK, Kioxia Base Die - $TSM, Samsung (internal) CPO/photonics; Glass Substrate: $GLW, $INTC, Ibiden Optical: $LITE, $AVGO, $COHR, $MRVL Power Delivery: Volatage: $MPWR, $VICR Thermal: $VRT, $NVT, $MOD Grid: $ETN, $SBGSY SiC/GaN: $ON, $IFNNY Rack: $APH N2 Volume: $TSM , $AMD (First mover dc), $QLCM, Mediatek, $NVDA Advanced Packaging: Yield: $CAMT, $ONTO, $KLAC OSATs: $AMKR $BESIY, Disco Semivision's summary: 1. "advanced packaging capacity and yield control" 2. "HBM ecosystem coordination" 3. "power delivery innovation (SiC, GaN PMICs, rack-level power architectures)" 4. "CPO/photonics integration capability" 5. "data center infrastructure as a “hidden limiter” to semiconductor revenue realization" As you probably know, I'm probably most bullish on memory/photonics like Sk Hynix/Samsung, $SNDK, $MU, $LITE above. And $TSM. I probably go a bit more upstream like $AXTI for InP precursors, but midstream players are the chokepoint + control most of the pricing. But just added commentary of related companies to topics to make things simpler for the regular retail investor.
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高贝塔股今日大跌，预计中期选举前市场将广泛复苏。
@soulbiri1 是的，今天高贝塔(高Beta)股票的表现极其糟糕。$CRDO、$IREN、$CIFR 等个股遭到重创。 $AMD 下跌 -17%，甚至 $MSFT 在过去两个月也下跌超过 -22%。 我预计随着今年晚些时候中期选举的临近，我们将看到更广泛的复苏。
原推 ↗英文原文
@soulbiri1 Yeah today was extremely rough for high-beta. $CRDO, $IREN, $CIFR, and others just got nuked. $AMD down -17%, even $MSFT down -22%+ past two months. I'd expect when Midterms come around later in the year, we'll see a broader recovery.
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日企Nitto Boseki垄断AI关键材料T-glass，巨头争抢供应至2026年。
Nitto Boseki - $NBCLF | 3110: AI极端瓶颈的故事： > 1923年开始纺纱/玻璃纤维 > 做到极致 > 为网球拍创造“T-Glass”（T-玻璃） > 等待100年，所有人都需要它 > $TSM 用于 CoWoS（芯片级封装） > $APPL 用于 M-Series Ultra/Max > $NVDA 用于 Blackwell + Vera Rubin > $TSLA 用于 FSD 汽车内的芯片 > $AMD 用于 MI300/MI400 AI 加速器 > $ANET 用于 800G 到 1.6T 和 3.2T > 苹果、英伟达和台积电争夺供应 > 已售罄至 2026 年 > 苹果、英伟达和高通派团队驻厂，字面意义上向这家纱线制造商乞求玻璃供应 > 目前在半导体用高端 T-glass 市场占据 80-90% 份额 这家价值 42.3 亿美元的垄断企业，全球科技公司都在争夺： 一家随机的日本纱线制造商。 披露：我持有头寸。
原推 ↗英文原文
Nitto Boseki - $NBCLF | 3110: The story of an extreme bottleneck for AI: > Spin Yarn/Glass in 1923 > Be good at it > Create "T-Glass" for tennis rackets > Wait 100Y, everyone needs it > $TSM for CoWoS > $APPL for M-Series Ultra/Max > $NVDA for Blackwell + Vera Rubin > $TSLA for chips inside FSD cars > $AMD for MI300/MI400 AI accelerators > $ANET for 800G to 1.6T and 3.2T > Have Apple to Nvidia to TSM fighting over supply > Sold out through 2026 > Apple, Nvidia, and Qualcomm sends teams live on site to literally beg this Yarn Maker for glass supply > Now is 80-90% market share of the high-end T-glass used in semiconductors The $4.23 Billion monopoly that every tech company in the world is fighting over: A random Japanese Yarn Spinner. Disclosure: I own positions.
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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。
原推 ↗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 -> $101). This lawsuit is definitely one of the biggest events markets are watching.
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质疑MRVL AEC竞争力，看好CRDO增长，预期光学瓶颈将延长铜缆寿命。
我的意思是，$MRVL 自 2022 年以来难道没有宣布过四次左右像 Alaska A 这样的 AEC（有源铜缆）杀手吗？我把它当作 $AMD 宣称每一代发布最终都要击败 $NVDA 来看待。 $CRDO 的财报和预测一直在以惊人的速度增长，尽管 Marvell 会是严肃的竞争对手（但如果 Marvell 起飞，两者仍有共存空间）。 我认为光学是最大威胁，但我一直预期 $AXTI 的光学组件会出现巨大的光学瓶颈，因此超大规模云厂商很可能被迫延长铜缆的使用寿命。
原推 ↗英文原文
I mean hasn't $MRVL announced an AEC killer with Alaska A like 4+ different times now since 2022? I treat it like $AMD saying they'll finally beat $NVDA with each gen release. $CRDO's earnings + projections just keeps growing at insane rates, though Marvell would be a serious competitor (but room for both if Marvell takes off). I see optical as the biggest threat, but I've been expecting a huge optical bottleneck for opticals components w/ $AXTI, so hyperscalers will likely be forced into copper life extension.
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2026年十大主题投资：聚焦AI供应链瓶颈、软体机器人及支付颠覆。
2026年通讯。 主题投资：演进、颠覆与瓶颈 1. 软体机器人 - 向 $TSLA、$ONDS、波士顿动力演进。 2. 硅光子(SiPh) - 磷化铟(InP)瓶颈 | $AXTI、$LITE、$GOOGL 3. 玻璃基板 - 瓶颈 | $NVDA、$INTC、$TSM 4. 资金流动 - 对 $V、Stripe、$BOA 的颠覆 5. AI云层级 - 瓶颈 | $NBIS、$IREN、$HUT 6. LLM网络安全 - 向 $CRWD、$CSCO、$MSFT 演进 7. 低轨(LEO)太空基础设施 | 向 $RKLB、SpaceX、$ASTS 演进 8. 消费者代理工作流(50步) - 对消费者劳动力的颠覆，来自Manus、$PATH Cognition 9. 分布式计算延迟 - 瓶颈 | $TSLA、$AMZN、$GOOGL 10. 铜互连寿命延长 - 瓶颈 | $NVDA (LPU/Groq)、$AMD、$INTC _这是我对从公开信息综合及瓶颈二/三阶效应来看最感兴趣的主题投资的简要概述！_ 1. 软体机器人：向机器人的演进 传统机器人（Optimus、波士顿动力）依赖逆运动学控制刚性关节。软体机器人改变了数学模型。 我们已到达硬件（Optimus、波士顿动力、Figure）与LLM（Gemini、Grok、Opus）相遇的节点，正处于大规模商业化的开端。 通过使用受章鱼触手和人类皮肤启发的材料，机器人正从齿轮转向流体性，以处理极其精细的任务，如像人手一样处理农产品，或为 $ONDS/Andruil 无人机添加类章鱼延伸以拾取极重表面。 这种演进在于跳出思维定势思考机器人能做什么。我记得7年前曾与该领域的斯坦福博士合作，AI在多年研究后开始商业化，因此该领域也是如此。 将类生物流体性添加到刚性机器人中的可能性是无限的，这只是自然演进。 大多数可能是私人公司。 2. 硅光子 - AI基础设施的瓶颈“磷化铟(InP)卡脖子点” 从Blackwell Ultra集群到Google TPU已触及上限，需要光子互连 | 共封装光学(OCS)以实现扩展。 基板：$AXTI（通过Tongmei）和住友（日本）控制全球约60-70%的InP基板市场。 材料：Vital Materials（中国）和AXT等公司控制原材料铟本身的精炼（78%+的供应链）。 如果你是美国科技巨头，你2026年的整个“AI增长故事”取决于由地缘政治对手控制的材料。 唯一可扩展的解决方案是工程绕行，要么实现芯片上光传输，同时减少90%的铟使用，要么使用微小的磷化铟薄片代替大型昂贵晶圆。 瓶颈本身有机会，如AXT、住友。或帮助解决它的公司如 $POET。 3. 玻璃基板 - 解决从 $NVDA 到其他公司的共封装光学(CPO)瓶颈 向玻璃基板的转变本质上是半导体行业对当前材料物理极限的回答。 当前芯片位于有机材料（本质上是专用塑料）制成的基板上。随着芯片变大，如Nvidia巨大的GPU封装，塑料基板会翘曲。 因此，玻璃基板正成为共封装光学(CPO)的行业标准，因为它们解决了光子学中最大的对齐问题。 美国政府已视其为必要，我们看到巨额补贴流向这些公司。 $INTC、三星电子、Absolics（SKC子公司）、DNP等是主要受益者，尤其是随着MRVL和 $AVGO（推动光学开关的玻璃）推进CPO革命。 4. 资金流动 - 对卡网络、银行、交易所和支付的颠覆 几十年来，资金转移一直是“收费公路”业务。每次刷卡，2%到3%的钱流入卡网络（Visa/Mastercard）和发卡行的口袋。 或者从交易所买卖加密货币是0.2-1%。这是历史上最有利可图、“不可杀死”的商业模式。 直到现在。2025年的“天才法案”刚刚将金钱传输许可证或银行特许状交给像 $XRP 这样的公司，赋予了他们王国钥匙。 对我来说并非理论。我恰好正在自己的初创公司与创建V / $PYPL 实时支付网络的人一起从事这项工作。 但基本上，拥有现有MTL或追求银行特许状并利用天才法案及其他技术的公司，现在可以通过在美联储和区块链之上进行结算来绕过传统百分比费用，有效地将基于百分比的费用转化为几美分。 99%的公司会这样做吗？可能不会，因为支付行业的所有利润率都将归零。但我乐意看到。 但基本上，Stripe以11亿美元收购Bridge本应是对现有公司的红色警报，表明1天ACH、 interchange模式、25美元国际转账的日子即将结束。 这扩展到许多其他相邻领域，从低费用颠覆者如 $HOOD、Mercury，一直到稳定币新银行，或制作自己稳定币的公司如 $SOFI。 5. AI云层级 - 超大规模计算瓶颈的解决方案 当超大规模云厂商被困在3-5年的电网互连队列中时，像WULF和IREN这样的矿工今天就拥有即插即用的GW级算力。 这是千载难逢的机会，超大规模云厂商将其现金牛云收入流向小公司。 这里有不同的层级，从Fluidstack、Poolside、Fireworks在GPU编排层，到IREN等公司构建的裸金属层。 然后有成为超大规模云厂商本身，如NBIS拥有物理位置、GPU、软件编排，然后为推理提供简单接口。 这是少数小公司在未来一两年成为AWS或Azure，或被收购（例如GOOGL以47亿美元收购Intersect）的机会。 像NBIS、IREN、CRWV这样的新云，以及像CIFR、WULF、HUT这样的colo玩家（以及私人部门->能源）将受益。 6. LLM网络安全 - 向现代安全和漏洞防御的演进 最近的报告（例如来自Anthropic红队）显示，高级模型如Opus（及未来版本）可以自主扫描开源智能合约，并在几分钟内识别价值数百万美元的“零日”漏洞。 含义：如果AI能在不可变的区块链合约中找到逻辑缺陷，它也能在银行的SWIFT API或电网控制软件中找到缺陷。 同样适用于KYC/AML。像Gemini Nano Banana这样的模型能够创建逼真的图像/视频，人们能够绕过许多程序。 这个领域有很多不性感但具Alpha潜力的事情，如LLM自动化SOC2/PCI DSS合规，代理坐在服务器上，持续监控日志，并自动生成审计所需的证据。 7. 低轨(LEO)太空基础设施 | 向拓展最后疆域的演进 太空是下一个大事情。这并不新鲜。（希望你懂这个笑话）。但从像 $RKLB、SpaceX这样的公司，到解决轨道拥堵或发射节奏瓶颈的公司，再到像ASTS或Starlink这样商业化基础设施的公司，在未来一年呈现许多机会。 因此，像Impulse、Blue Origin、$ASOZF到RKLB、$ASTS这样的公司将受益于整个链条。 8. 消费者代理工作流(50步) - 对消费者劳动力的颠覆，来自Manus、PATH Cognition 这一点很简单，无需解释。但在对就业+成本节约的潜在影响上显而易见。 你如何自动化商务拓展？如何自动化营销？如何自动化软件工程师？ 这超越了ChatGPT的几步回答，直接进入现实世界，AI代理可以在X上漫游，找到合适的人，发送DM，继续对话，并在一个工作流中导致销售电话。 这是“聊天机器人”时代的结束和“行动”时代的开始，取代公司以前需要的所有人。 我尚未看到任何公司大规模做到这一点。拥有这些的公共公司如META并没有呈现最佳敞口。也许是 $PATH 在公共空间。 9. 分布式计算延迟 - 解决AI计算容量紧张的瓶颈 像GOOGL Cloud、MSFT Azure这样的超大规模云厂商已达最大容量。 Elon Musk已经提出分布式计算作为解决此问题的未来（例如，拥有 $TSLA 网络为LLM推理提供计算）。 “Tesla计算云”论点很迷人，但我识别出的最大物理障碍是：推理延迟。 要生成“Token B”，模型必须先生成“Token A”。它不能同时做两者。如果你将一个巨大模型（如Grok-3）拆分到5辆不同的汽车中以适应内存，你必须为每个生成的Token在这些汽车之间发送数据。 因此，如果汽车之间的网络延迟甚至是20ms（5G的乐观估计），而你生成50个Token，你刚刚在计算时间之上添加了1秒的纯“等待时间”（延迟）。在使用NVLink的数据中心中，该等待时间以纳秒计。 同样适用于零售用户拥有的任何备用计算机、GPU等。有数十亿消费级GPU（Teslas、iPhones、游戏PC）90%的时间闲置。 解决推理的“分布式延迟”问题呈现了计算史上最大的套利机会之一。 尚未看到任何公司大规模完成此任务。也许NVIDIA Dynamo、$AKAM、TSLA正在接近。 10. 铜互连寿命延长 - 解决Nvidia和其他公司的瓶颈 既然我们不能拥有无限的InP，我们必须用现有的东西（例如铜）进行工程绕行，所以铜电缆可以做物理上说它不应该做的事，如在不损失信号的情况下跨机架传输224G信号。 行业在InP上遇到了硬性停止，美国在物理上无法开采和精炼足够的InP将数据中心中的每个链接变成光纤。 如果有任何帮助，那就是好事。例如，NVDA对Groq团队和IP的200亿美元“收购雇佣”。LPU更多是关于推理延迟/架构，但它作为副产品解决了铜寿命延长。Groq的整个架构在延迟上击败了Nvidia，因为它拒绝了光学。Groq使用“确定性”网格，依赖芯片之间的直接电气（铜）连接，避免光学开关的“抖动”和转换时间。 像 $ALAB、$CRDO、Groq，或任何能找到用铜绕过光学瓶颈方法的公司将是赢家。 _这里有从私人部门投资到公共部门的众多交易！只是今天即兴写下了我的想法，但乐意稍后详细阐述。 无论如何，我相信这些主题投资中的许多： 从投资InQ瓶颈绕行（$POET）或瓶颈本身（$AXTI）到公共部门的颠覆者（$CRCL）。 到投资铜扩展瓶颈修复（Groq）、银行特许状颠覆者（Mercury）到私人部门的演进公司（Lightmatter、Festo）。 在2026年呈现不对称上行空间。 新年快乐！
原推 ↗英文原文
2026 Newsletter. Thematic Investments: Evolution, Disruption, and Bottlenecks 1. Soft Robotics - Evolution to $TSLA, $ONDS, Boston Dynamics. 2. SiPh - InP Bottleneck | $AXTI, $LITE, $GOOGL 3. Glass Substrates - Bottleneck | $NVDA, $INTC, $TSM 4. Money Movement - Disruption to $V, Stripe, $BOA 5. AI Cloud Layers - Bottleneck | $NBIS, $IREN, $HUT. 6. LLM Cybersecuirty - Evolution to $CRWD, $CSCO, $MSFT 7. LEO Space Infrastructure | Evolution to $RKLB, SpaceX, $ASTS 8. Consumer Agentic Workflows (50 Step) - Disruption to the Consumer Workforce, from Manus, $PATH Cognition 9. Distributed Computing Latency - Bottleneck | $TSLA, $AMZN, $GOOGL, 10. Copper Interconnect Life Extension - Bottleneck | $NVDA (LPU/Groq), $AMD, $INTC _ This is an light overview of thematic investments I find the most interesting from a public-information synthesis perspective + second/third-order effects from bottlenecks! _ 1. Soft Robotics: The Evolution to Robotics Traditional robotics (Optimus, Boston Dynamics) relies on Inverse Kinematics to rigid joints. Soft robotics changes the math. We've met the point where hardware (Optimus, Boston Dynamics, Figure) met LLMs (Gemini, Grok, Opus), and we're at the beginning of possible widespread commercialization. By using materials inspired by octopus tentacles and human skin, robots are moving away from gears and toward fluidity to handle extremely delicate tasks like handling produce like the human hand, to picking up extremely heavy surfaces adding Octopus-like extensions to $ONDS/Andruil Drones. The evolution is thinking outside the box in terms of what robotics can do. I remember working with some Stanford PHds in this field like 7 years ago, and it just so happens AI is starting to be commercialized after many years of research. So expected, this field to be as well. Possibilities are limitless adding organism-like fluidity to rigid robotics, this is just the natural evolution. Most of these are prob private companies. _ 2. Silicon Photonics - Bottleneck of the AI Infrastructure "InP Chokepoint" Blackwell Ultra Clusters to Google TPUs have hit the upper wall and requires photonics for interconnects | OCS to scale up. The Substrates: $AXTI (via Tongmei) and Sumitomo (Japan) control roughly 60-70% of the world's InP substrate market. The Materials: Companies like Vital Materials (China) and AXT control the refining of the raw Indium itself (78%+ of supply chain). If you are a US tech giant, your entire "AI Growth Story" for 2026 depends on materials controlled by geopolitical rivals. The only scalable solution is engineering around it, either by delivering light-on-chip, while using 90% less InP or companies that use tiny slivers of Indium Phosphide instead of large, expensive wafers. There's opportunities with the bottleneck itself like AXT, Sumitomo. Or companies that help address it like $POET. _ 3. Glass Substrates - Fixing the Bottleneck for CPOs from $NVDA to others. The shift toward glass substrates is essentially the semiconductor industry’s answer to a physical wall they are hitting with current materials. Current chips sit on a substrate made of organic materials (essentially specialized plastic). As chips get larger, like Nvidia's massive GPU packages, plastic substrates warps. So, glass substrates is becoming the industry standard for Co-Packaged Optics (CPO) because they solve the single biggest problem in photonics with alignment. US Government already sees this as a necessity and we've seen huge subsidies funneling down to some of these companies. Companies like $INTC, Samsung Electronics, Absolics (SKC Subsidiary), DNP, and others are the main beneficiaries, especially as MRVL and $AVGO (driving glass for optical switches) move forward with CPO revolution. _ 4. Money Movement - The Disruption to Card Networks, Banking, Exchange, and Payments For decades, moving money has been a "toll road" business. Every time you swiped a card, 2% to 3% of that money vanished into the pockets of the Card Networks (Visa/Mastercard) and Issuing Banks. Or buying/selling crypto from an exchange would be .2-1%. It was the most profitable, "un-killable" business model in history. Until now. The "Genius Act" of 2025 just handed companies like $XRP with Money Transmitter Licenses or Banking Charters the keys to the kingdom. Not really theoretical for me. I happen to be working on this myself at my own startup with some folks who created V / $PYPL's real-time payment networks. But basically companies with existing MTLs or pursuing banking charters leveraging the Genius Act and some other tech can now bypass legacy % fees by doing settlement on top of the Federal Reserve and blockchains, effectively converting percentage-based fees into a few cents. Would 99% companies do it? Probably not since every single margin from across the payment industry would just go to 0. I'd be happy though. But basically Bridge's $1.1B acquisition by Stripe should have been a red-alarm to existing companies that days of 1-Day ACH, interchange models, $25 international transfers, are soon to be over. This extends to many other adjacents from low fee disruptions like $HOOD, Mercury all the way to Stablecoin Neobanks, or companies making their own stablecoins like $SOFI. _ 5. AI Cloud Layers - The Solution to HyperScaler compute Bottleneck While Hyperscalers are stuck in 3-5 year grid interconnection queues, miners like WULF and IREN are sitting on plug-ready GWs today This is the opportunity of a lifetime as hyperscaler funnel their cash cow Cloud revenues down to tiny companies. There's many different layers to this from Fluidstack, Poolside, Fireworks on the GPU orchestration layer, to the bare metal layer that companies like IREN are building. Then there's becoming the hyperscaler themselves like NBIS owning the physical locations, the GPU, software orchestration, and then providing simple interfaces for inference. This is the opportunity for a few small companies to become Amazon Web Service or Microsoft Azure over the next year or two, or get acquired (eg. GOOGL buying Intersect for $4.7B) Neoclouds like NBIS, IREN, CRWV, down to colo plays like CIFR, WULF, HUT (and private sectors -> Energy) stand to benefit. _ 6. LLM Cybersecurity - The Evolution to Modern Security and Vulnerability Defense Recent reports (e.g., from Anthropic's Red Team) showed that advanced models like Opus (and future iterations) could autonomously scan open-source smart contracts and identify "Zero-Day" exploits worth millions of dollars in minutes. The Implication: If an AI can find a logic flaw in a immutable Blockchain contract, it can find a flaw in a bank's SWIFT API or a power grid's control software. Same with KYC/AML. Models like Gemini Nano Banana are able to create realistic images/videos of people and people are able to get past a lot of programs. There's tons of things as an unsexy alpha in this field like LLMs automating away SOC2/PCI dss compliance to agents sitting on a server, continuously monitor logs, and auto-generate the evidence needed for auditors. 7. LEO Space Infrastructure | The Evolution to Expanding into the final frontier. Space is the next big thing. This is not anything new. (hope you got the joke). But anywhere from companies like $RKLB, SpaceX. Companies that fix orbital congestion or launch cadence bottlenecks. To companies that commercialize the infrastructure like ASTS or Starlink present many opportunities over the next year. So companies like Impulse, Blue Origin, $ASOZF to RKLB, $ASTS stand to benefit across the entire chain. 8. Consumer Agentic Workflows (50 Step) - Disruption to the Consumer Workforce, from Manus, PATH Cognition This one is simple and needs no explanation. But largely obvious in potential impact on employment + cost saving. How do you automate away business development? How do you automate away marketing? How do you automate away software engineers? This is going past few step ChatGPT answers and directly in to the real world where an AI agent can roam X, find the right people, DM someone, continue conversations, and lead to a sales call in just one workflow. This is the end of the "Chatbot" era and the beginning of the "Action" era replacing everyone previously required in a company. I haven't quite seen this done at scale yet with any company. Public companies like META that own these, don't really present the best exposure. Maybe $PATH for public space. 9. Distributed Computing Latency - Fixing the Bottleneck for AI Compute Capacity Strains Hyperscalers like GOOGL Cloud, MSFT Azure at max capacity. Elon Musk already floated distributed computing as the future of solving this issue (eg. having networks of $TSLA's providing compute for LLMs for inference). The "Tesla Compute Cloud" thesis is fascinating, but the single biggest physical barrier I've identified is: Inference Latency. Too generate "Token B," the model must first finish generating "Token A." It cannot do both at the same time. If you split a massive model (like Grok-3) across 5 different cars to fit it in memory, you have to send data between those cars for every single token generated. So, if your network latency between cars is even 20ms (optimistic for 5G), and you are generating 50 tokens, you just added 1 full second of pure "waiting time" (latency) on top of the compute time. In a data center using NVLink, that wait time is measured in nanoseconds. Same applies to any spare computer, GPU, and others owned by retail users. And there's billions of consumer GPUs (Teslas, iPhones, Gaming PCs) that sit idle 90% of the time. Solving the "distributed latency" problem for inference presents one of the single greatest arbitrage opportunity in the history of computing. Haven't really seen any companies that accomplished this at scale yet. Maybe NVIDIA Dynamo, $AKAM, TSLA, getting a little closer. 10. Copper Interconnect Life Extension - Addressing the Bottlenecks of Nvidia and Others Since we can't have infinite InP, we have to engineer around it with what we have (eg. Copper), so copper cables can do things that physics said it shouldnt like carrying 224G signals across a rack without signal loss. The industry is hitting a hard stop on InP where, US cannot physically cannot mine and refine enough InP to turn every link in a data center into fiber optics. If anything helps, then it's good. EG. NVDA's $20B "Acqui-hire" of Groq's team and IP. LPU is more about inference latency/architecture but it addresses copper life extension as a byproduct. Groq’s entire architecture beat Nvidia on latency because it rejected optics. Groq uses a "deterministic" mesh that relies on direct electrical (copper) connections between chips, avoiding the "jitter" and conversion time of optical switches. Companies like $ALAB, $CRDO, Groq, or anyone who can find ways to engineer around the optical bottleneck with copper will be a winner. _ There are tons of trades from both private sector investments to public! Just wrote up my thoughts on the fly today, but happy to elaborate later. Regardless I believe a lot of these thematic investments from: Investing in InQ Bottleneck Workarounds ( $POET ) or the bottleneck itself ( $AXTI ) to Disruptors ( $CRCL ) in the public sector. To Investing in copper extension bottleneck fixes (Groq), bank charter disruptors (Mercury) to evolutionary companies (Lightmatter, Festo) in the private sector. Present asymmetrical upside in 2026. Happy New Year!
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解析AI供应链各环节标的风险收益特征，推荐TSM稳健、AXTI高弹性、NBIS高成长。
感谢关注！我来简单拆解一下：我看好金融科技(Fintech)和人工智能(AI)，这是我的两个主要成长型投资板块。像 $CRCL 这样的稳定币(Stablecoins)属于金融科技领域。至于 AI 领域，我专注于供应链投资： 新云厂商(Neoclouds) -> AI 顶层消费者/超大规模云提供商。$NBIS 是我的最爱。 顺着供应链往下，谁帮助制造 $NBIS 和 $IREN 购买的 GPU？ -> 来自 $NVDA 的 GPU，部分 $AMD，以及未来可能来自 $GOOGL、$MSFT、$AMZN 的 ASIC。 谁帮助生产这些 GPU？ -> $TSM 谁帮助在数据中心扩展这些 GPU 集群？ -> $LITE、$COHR、$AAOI 用于生产扩展 GPU 集群所需互连件的原材料是什么？ -> $AXTI 它们都主题性地搭乘 AI 资本支出(CapEx)浪潮，但敞口各不相同。 我通常不会说“1”，因为它们的风险特征不同。 如果必须为复利增长选择最安全的一个：$TSM 如果必须选择 6 个月内潜在上行空间最大的一个？$AXTI 可能因材料短缺而受益，但如果中国封锁出口也可能归零。 如果必须选择 2 年内最有可能实现 5-10 倍增长并成为超大规模云厂商的一个？$NBIS。但存在稀释风险，自动取款机(ATM)发行可能导致股价停滞数月，但从 70-90 亿 ARR 和 20% EBIT 的未来前景来看，长期非对称上行空间最大。 当然，如果 AI 资本支出浪潮放缓，它们都会下跌，因此分散投资于金融科技等其他板块是明智的。
原推 ↗英文原文
Thanks for following along! I'll just give you a breakdown: I like Fintech and AI, those are basically my two main growth investment baskets. Stablecoins like $CRCL are in the fintech domain. As for AI domain I am just supply chain investing: Neoclouds -> Top level consumer/hyperscaler cloud providers for AI. $NBIS is my favorite. Go down the supply chain, who helps manufacture the GPUs used that $NBIS and $IREN buy? -> GPUs from $NVDA, some $AMD, and maybe ASICs from $GOOGL, $MSFT, $AMZN down the road. Who helps create those GPUs -> $TSM Who helps scale up those GPU clusters in data centers? -> $LITE, $COHR, $AAOI What are those raw materials used to produce the interconnects to scale up those GPU clusters? -> $AXTI They're all ride the AI CapEx wave thematically, but the exposure is all different. I never typically never say "1" because they all have different risk-profiles. if I had to choose the safest one for just compounding: $TSM If I had to choose the one with the highest possible upside over 6 months? $AXTI from material shock, but it could also go to 0 if China blocks exports. If I had to choose the best chance to 5-10x and become a hyperscaler over 2 years? $NBIS. But there's risks from dilution, ATMs stalling out the stock for a few months, but highest asymmetrical upside over periods of time from 7-9B arr 20% ebit in the future But of course, if AI CapEx wave slows, then they all go down, which it's good to diversify in other segments like fintech.
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用 AMD/PLTR/RKLB 历史说明 thesis 未变时应给时间
同意，而且我已经反复见过这种情况。 2016 年的 $AMD，当时人们觉得它能挑战 Intel，后来在 5 美元附近投降。 2023 年的 $PLTR，当时人们相信 AI thesis，后来在做空者活动之后，在十几美元投降。 今年的 $RKLB，当时人们觉得它在 18 美元可能成为下一个 SpaceX，后来在低目标价之后投降。 当你看到很多散户最爱的名字，比如 $BTC、$NBIS、$IREN、$RKLB、$CIFR、$ASTS、$ALAB、$CRCL、$HOOD、$SOFI 等，从历史高位回落时，看看历史案例是有帮助的。 很多时候，当 FinX 因为大家讨论 $NBIS 可能成为下一个 AI 版 AWS，或 $ASTS 可能成为卫星蜂窝领域的下一个 Starlink，而形成所谓“泡沫”时，如果唯一变化的是股价，而不是 thesis，那就给它时间兑现。
原推 ↗英文原文
Agreed and I've seen it time and time again. $AMD in 2016 when people thought it could take on Intel, then capitulation at $5. $PLTR in 2023 when people believed in the AI thesis, then capitulation in the $10's after short seller activity. $RKLB this yeare when people thought it could become the next SpaceX at $18. Then capitulation after low PTs. When you see a lot of retail favorites like $BTC, $NBIS, $IREN, $RKLB, $CIFR, $ASTS, $ALAB, $CRCL, $HOOD, $SOFI, and others dropping from ATHs, it's good to see examples from history. And many of times, when finx forms a "bubble" from discussion that $NBIS is likely to become the next AWS for AI, or $ASTS has the potential to be the next starlink for satellite cellular. If the only thing that's changed is the stock price and not the thesis, give it time to play out.
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周五科技股崩盘但作者认为散户方向长期正确，类似TSM/MU历史将重演
接飞刀还是抄底？ Oracle和Broadcom财报之后，周五股市对投资者来说简直是残酷的一天。 仅一天内大跌的热门FinX股票： $FRMI | -34.1% $SNDK | -15.89% $SEI | -15.3% $OKLO | -15.13% $MOD | -14.67% $ALAB | -14.31% $FLNC | -13.96% $LITE | -12.83% $GLXY | -11.73% $AAOI | -11.73% $AVGO | -11.43% $RMBS | -11.11% $CRWV | -10.06% $GLXY | -10.42% $EOSE | -9.73% $CIFR | -9.69% $APLD | -9.43% $WULF | -9.48% $BMNR | -9.17% $LGN | -8.86% $IREN | -8.79% $TSSI | -8.67% $NBIS | -6.99% 我通常会对每只股票做更多点评，但这次真的是太震撼了。像$FRMI因为租户流失/融资问题下跌还能理解，但其他一些就很难解释了。 $NBIS现在比政府、$MSFT和$META交易后还要低，$AVGO在$GOOGL TPU加速生产后却经历了史上最大跌幅之一。 你们周一在关注或买入什么？ （该推文引用了@aleabitoreddit的推文，引用内容仅供理解语境）： FinX是个泡沫。 r/wallstreetbets上的交易员也一样。 人们持有相同的股票：$NBIS、$TE、$ASTS、$HOOD、$RKLB、$IREN、$KRKNF、$ONDS、$SOFI、$AMD、$TSLA等。 然而：这其实是一件好事。 这些年来我见过这种情况反复上演。 短期来看，当人们买1-3个月到期的期权时，他们会在这些"泡沫化"且拥挤的交易中亏钱。 长期来看，一年后，散户对这些公司的方向判断是对的。 而这才是最重要的部分。 以$TSM（140-150美元）为例，一两年前当$NVDA最初崛起时，它曾是Reddit上最热门的股票代码。 散户的方向判断是对的，因为$TSM是整个人工智能建设浪潮的中心。 短期来看，由于买入2个月后到期的看涨期权，股价停滞甚至跌至127美元，每个人都亏了钱。 一年后股价涨幅超过100%+，所有那些看涨期权本来可以涨10倍。 $MU也是一样。Reddit知道内存是人工智能繁荣的重要组成部分，于是在同一笔交易上扎堆。 然而$MU在100美元停滞了一整年，每个人都亏了钱。 时间快进到现在，从美光到SK海力士，内存是最热门的东西，从65美元飙升至245美元，涨幅超过200%。散户方向判断对了，但最终被迫止损离场。 我坚信像$NBIS这样的股票，我们正处于散户买了太多短期期权、像当初$TSM或$MU那样被迫止损持有股票的那个时期。 然而时间快进一年，这可能就像$TSM、$MU或$HOOD（在18美元时）那样散户方向一直正确、却获得3-4倍回报的情况。 我确信FinX散户股票"泡沫"在短期内可能判断不正确——在那个时间框架内，未平仓合约、宏观波动率和做市商主导着市场——但长期来看方向判断是对的。
原推 ↗英文原文
Falling Knife or Dip Buy? What a brutal Friday for stocks after $ORCL and $AVGO earnings. Popular FinX names that dropped in just 1 day: $FRMI | -34.1% $SNDK | -15.89% $SEI | -15.3% $OKLO | -15.13% $MOD | -14.67% $ALAB | -14.31% $FLNC | -13.96% $LITE | -12.83% $GLXY | -11.73% $AAOI | -11.73% $AVGO | -11.43% $RMBS | -11.11% $CRWV | -10.06% $GLXY | -10.42% $EOSE | -9.73% $CIFR | -9.69% $APLD | -9.43% $WULF | -9.48% $BMNR | -9.17% $LGN | -8.86% $IREN | -8.79% $TSSI | -8.67% $NBIS | -6.99% I usually add more commentary on each stock, but it's been pretty incredible to watch. Things like $FRMI makes sense on losing tenants/funding but as for others. $NBIS is now lower than post Gov, $MSFT, and $META deals & $AVGO just had one of its largest drops in history even after $GOOGL TPU ramp. What are you watching or buying on Monday?
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认为 FinX 散户泡沫短期拥挤但长期方向常常正确
FinX 是泡沫。/r/wallstreetbets 上的交易员也是。 人们都持有同样的股票：$NBIS、$TE、$ASTS、$HOOD、$RKLB、$IREN、$KRKNF、$ONDS、$SOFI、$AMD、$TSLA 等。 但是：这是好事。 这些年我一遍又一遍看到这种情况。 短期看，当人们买 1-3 个月期权时，他们会在这些“泡沫化”和拥挤交易里亏钱。 但从一年后的长期看，散户对这些公司的方向判断往往是对的。 这才是最重要的部分。 例如，一两年前 $NVDA 刚起飞时，$TSM（140-150 美元）是 Reddit 上最热门的 ticker。 散户方向上看对了，因为 $TSM 是整个 AI 建设的中心。 短期里，所有人都亏钱了，因为他们买了两个月后的 call，而股票横盘，甚至跌到 127 美元。 一年后，它涨了 100%+，那些 call 本来会涨 10 倍。 $MU 也一样。Reddit 知道内存是 AI 热潮的重要组成部分，于是都挤进同一笔交易。 但 $MU 在 100 美元横盘了一整年，大家都亏钱了。 快进到现在，从 Micron 到 SK 海力士，内存成了最热门的东西，股价从 65 美元冲到 245 美元，涨了 200%+。 散户方向上是对的，但中途投降了。 我确信，像 $NBIS 这样的股票，现在正处于散户买了太多短期期权，然后像当年 $TSM 或 $MU 下跌时那样，连股票也一起投降的阶段。 但快进一年，这可能就是 $TSM、$MU 或 $HOOD（18 美元时）那种 3-4 倍回报，当初散户方向其实一直是对的。 我相信 FinX 散户股票“泡沫”在较短时间框架里未必正确，因为 OI、宏观波动和做市商会主导价格；但长期方向上往往是对的。
原推 ↗英文原文
FinX is a bubble. Same with traders on /r/wallstreetbets. People own the same stocks $NBIS, $TE, $ASTS, $HOOD, $RKLB, $IREN, $KRKNF, $ONDS, $SOFI, $AMD, $TSLA and others. However: It’s a positive thing. I’ve seen this on repeat again and again throughout the years. Short term when people buy 1-3 months options, they lose money on these “bubbly” and crowded trades. Long term 1 year later, retail gets these companies directionally right. And this is the most important part. For example, $TSM ($140-$150) was the most popular ticker a year or two ago on Reddit when $NVDA was initially taking off back. Retail got this directionally right, because $TSM was the center of all AI buildout. Short term, everyone lost money because they bought calls for 2M out and the stock stalled and even dropped to $127. One year later it’s up over 100%+ and all those calls would have 10x’ed. Same with $MU. Reddit knew memory was a huge part of the AI boom and piled in on the same trade. Yet $MU stalled at $100 for an entire year and everyone lost money. Fast forward, memory from Micron to Sk Hynix is the hottest thing now and shot up 200%+ from $65 to $245 . Retail got this right directionally right but capitulated. I’m convinced on stocks like $NBIS that we’re in the period of time where retail bought too many short dated calls and are capitulating with shares like the drops on $TSM or $MU. However fast forward a year, this might be that 3x-4x return like $TSM or $MU or $HOOD (at $18) where retail was directionally right all along. I’m confident Finx Retail stock “bubbles” might not be right in shorter timeframes - where OI, macro volatility, and MMs dominate - but are right directionally long term.
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OpenAI优势减弱，AI行业多极化，基本面未受损公司现买入机会
OpenAI 此前是明确的领导者。现在，Gemini 3.0 在图像生成方面超越了它，Claude Opus 4.5 在编码方面超越了它。以此类推。看起来在获得先发优势后，ChatGPT 似乎无法被颠覆。但现在从 Similarweb 数据我们可以看到，Gemini 的受欢迎程度相对于 ChatGPT 正在增长。而且我相信由于使用内部张量处理单元(TPU)进行推理，它们的成本效益也更高。OpenAI 试图通过要求 Mag7 和政府为其合同承诺提供担保，使整个行业依赖它，以便大家同船沉没，但这最终失败了。整个 AI 行业不仅仅是 OpenAI，随着我们看到更多的代理(Agentic)和机器人应用，我们很可能会看到 Anthropic、Google、XAI 和其他供应商的广泛大型语言模型(LLM)和日益增长的算力使用。但目前我们看到这种传染效应从 OpenAI 蔓延到该领域的几家公司 $ORCL、$CRWV，可能还有 $AMD 以及其他几跳远的公司，它们正在为承诺的资本支出构建产能。但这正在拉垮那些与 OpenAI 隔离（就股价而言）的其他公司，因此如果基本面没有受到实质性影响，这就是一个买入机会。
原推 ↗英文原文
OpenAI was the clear leader before. Now, Gemini 3.0 surpasses it in image generation. Claude Opus 4.5 surpasses it in coding. Can go down the line. It looked like ChatGPT couldn’t be disrupted after they got first movers advantage. Now from similarweb data we can see popularity with Gemini growing vs ChatGPT. And im sure they’re a lot more cost effective as well using in house TPUs for inference. OpenAI tried making the whole industry dependent on it, by asking Mag7 + government to backstop their contract promises so they all go down the ship together but that ended up flopping. AI industry as a whole is not OpenAI, we’ll likely see widespread LLM + growing compute usage from Anthropic, Google, XAi and other vendors as we see more agentic + robotics applications next. But right now we’re seeing contagion spread from OpenAI to several companies in the sector $ORCL, $CRWV, maybe $AMD and others few hops away that were building out capacity for their promise capex spend. But it’s taking down other companies isolated from OpenAI (in terms of stock price), which is why it’s a buying opportunity if fundamentals aren’t too materially impacted.
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AI算力需求指数级增长抵消GPU迭代贬值，NVDA客户优质，非泡沫崩盘。
答案很微妙。 主要看两个因素： 1. GPU 变得更节能。 2. 大语言模型(LLM) 在容量/能效上更高效。 在 LLM 方面，我们看到像 DeepSeek 这类模型在处理不需要高精度的任务（如回答烹饪食谱或知识库查询）时极其高效。 然而……随着计算力的增加，准确率（尤其是复杂研究问题）也在提升。Elon 和 Magnificent Seven 意识到了这一点，所以他们正在扫货市场上的所有 GPU 以创造超级智能。这也是为什么 Anthropic 和 Google 正在建设耗资 400 多亿美元的数据中心，用于运行需要更多算力进行批判性思维（如 Genesis 任务）的更高级 Opus 和 Gemini 模型。 在 GPU 方面，每一代新 GPU（例如 H100 -> B200）在能效和每美元性能上都有显著提升。例如，Blackwell B200 是 Hopper H100 的 30 倍。 如果基于这个假设，那么到 2027/2028 年，市场上将出现大量过时的低效 H100 和 B200，导致二手 GPU 市场崩盘。 但是：这是假设我们没有看到对新 AI 能力的指数级需求（我们很可能会看到，且正在发生）。正因为这种指数级需求，今天旧模型（如 7 年前的 TPU 和 2020 年的 GPU）仍被用于低优先级的推理任务。 $NVDA 的订单已积压数年，人们正在购买 $AMD 的 GPU 和 $GOOGL 的 TPU 来构建任何新增产能。 至于思科类比，思科的客户是互联网泡沫时期无盈利能力的公司。$NVDA 的客户是 $META、$AMZN、$GOOGL、$MSFT，这些是世界上最盈利的公司。所以最坏的情况我们可能看到回调，而不是互联网泡沫式的崩盘。
原推 ↗英文原文
Answer is nuanced. So two factors: 1. GPUs get more power efficient. 2. LLMs get more capacity/power efficient. For the LLMs case, we're seeing that on deepseek type models be extremely efficient on stuff that don't require much accuracy. Basic stuff like responding to questions about cooking recipes, or knowledge-base stuff. However... accuracy increases, especially with complex research questions, scaled with compute. And people like Elon + mag7 realize this, which is why they're just buying up all the GPUs on the market to create superintelligence. And why antrhopic/google is building $40B+ datacenters for more advanced opus and gemini models that require more compute for critical thinking (eg. Genesis Mission) For the GPUs case, every new generation of GPU (e.g., H100 -> B200) offers dramatic improvements in power efficiency and performance per dollar. eg. Blackwell B200 is 30x than the Hopper H100. If we go off that assumption, then there would be a massive useless supply of less-efficient H100s and B200s in 2027/2028 creating a used GPU market crash. HOWEVER: This is if we don't see an exponential demand for new AI capabilities (which we likely will, and what we're seeing now). Because of this exponential demand, TODAY, older models are still used (eg. TPUs from 7 years ago and GPUs from 2020), for lower inference task in lower priority inference tasks. $NVDA is backlogged for years and people are buying GPUs from $AMD /TPUs from $GOOGL to build out any new capacity. As for Cisco analogy, Cisco's customers were .com bubble companies with no profitability. $NVDA's customers are $META, $AMZN, $GOOGL, $MSFT the most profitable companies in the world. So worst case scenario we might see a correction, not a .com bubble crash.
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NVDA短期强烈买入，下一代芯片优势明显，市场未放缓。
哈哈，我之前在 $NVDA 的公关稿下当“神评论” trolling（嘲讽/玩梗）火了。所以想帮我的哥们 Jensen 一把，写写关于 TPU vs GPU 争论的看法，以及股价下跌是否反应过度。给快速浏览的朋友划重点： - 基于订单积压（Backlog）的可见性，短期强烈买入。 - $NVDA 下一代芯片很可能在技术上超越 TPU。 - AI 市场正在扩张，我们没有看到放缓迹象。 - 唯一需要担心的是，如果人们刻意去买 TPU/AMD，即下一代超大规模云服务商（Hyperscaler）芯片，那也只有在 $NVDA 生产的任何 GPU 都卖断货的情况下才会发生。
原推 ↗英文原文
lol I was top comment trolling $NVDA's press release that went viral. so wanted to do my buddy Jensen a solid by writing up thoughts on TPU vs GPU arguments + whether stock drop was an overreaction. So TLDR for people skimming the post: - strong buy near term from backlog visibility - nvda next-gen chips will likely leapfrog tpu - ai expanding market, we're not seeing it slow down. - only thing to worry about is if people go out of their way to buy TPUs/AMD, next gen hyperscaler chips if and only if NVDA stops selling out of any GPUs they make.
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英伟达虽面临谷歌TPU等定制芯片竞争，但中期统治力稳固，逢低买入。
英伟达($NVDA)公布的2026财年Q3营收为570.1亿美元(+62.5% YoY)，表现强劲。并指引Q4营收超650亿美元(超预期30亿美元+)，以及通过CY 2026年Blackwell/Rubin系列营收超5000亿美元。尽管如此，股价仍下跌12%。现在$NVDA是强力买入吗？答案如下： $GOOGL的TPU项目成为首个对$NVDA GPU构成竞争替代的方案，Anthropic承诺采购超100万颗TPU芯片，Meta据报道正在就数十亿美元的TPU采购进行高级别谈判。沃伦·巴菲特近期也向$GOOGL投资超40亿美元，鉴于伯克希尔对科技股保守的投资立场，这极为罕见。 尽管创下盈利新高，英伟达股价在过去10个交易日中有6天下跌，较10月29日触及5.03万亿美元市值时的历史高点$207.04下跌约12-15%。 分析师反应普遍看多，普遍上调目标价： - Evercore ISI从$261上调至$352 - 美银从$235上调至$275 - 花旗从$220上调至$270 - 高盛从$240上调至$250 - 摩根士丹利从$220上调至$235 但这里有个价值万亿美元的问题：超大规模客户日益增长的定制硅片威胁是否会削弱英伟达在AI领域的统治地位？ 与主要捕捉英伟达GPU缺货时的溢出需求的$AMD不同，谷歌的TPU项目代表了根本不同的竞争动态。 TPU v7 Ironwood是首款在性能上与Blackwell持平的非英伟达加速器，提供4.6 petaflops的FP8性能（对比B200的4.5 petaflops），配备192GB HBM3e内存。 Ironwood的架构差异化显著。虽然英伟达最大的集群配置为72个GPU(NVL72)，TPU Ironwood可扩展至9,216个芯片组。 客户斩获显著且不断增长： - Anthropic承诺采购超100万颗TPU芯片，价值“数百亿美元”，1GW算力即将上线。 - Meta正在就2026年从谷歌云租赁TPU容量进行高级别谈判，并计划2027年直接采购硬件用于自有数据中心。 - 苹果透露Apple Intelligence基础模型完全在TPU上训练，使用8,192颗TPUv4芯片用于服务器模型。 - Midjourney从GPU转向TPU，推理成本降低65%（从每月200万美元降至70万美元）。 定位微妙。TPU在超大规模推理方面表现出色，在生产级大规模服务中成本性能最高提升4倍（目前）。在训练方面，英伟达优势明显。 对于高度优化的推理任务，TPU架构可能比$NVDA的通用GPU更高效。 然而，我预计下一代英伟达GPU将在许多场景下在推理性能上超越TPU。（类似于LLM之间GPT 5 -> Gemini 3 -> Opus 4.5的迭代超越） 我们看到： 谷歌TPU、AWS Trainium、Meta MTIA、微软Maia和定制超大规模芯片都在扩展，但仍依赖$NVDA。但超大规模客户集体减少对英伟达的依赖，其累积效应是否会削弱英伟达的统治地位？ 答案：不会。至少未来两年统治地位稳固。之后如何纯属猜测。 仅看数据：Q3结果证实公司仍是AI不可或缺的基础设施提供商，5000亿美元的订单积压为2026年提供了极高的可见性。 但市场似乎正在定价3年+后的这种微妙现实：长期面临超大规模客户定制芯片的竞争不确定性。 英伟达产能完全售罄，且很可能在下一代芯片中超越TPU性能（推理性能更高且保持通用性）。但定制硅片威胁和44倍市盈率的估值担忧仍是逆风。 无论如何，鉴于出色的超预期财报和未来两年的订单积压，$NVDA目前因恐惧而下跌，似乎是中期强力逢低买入的机会。 你只需要记住这一点： 只要英伟达仍是AI工作负载的行业首选，且TPU和AMD GPU仅在需求超过英伟达供应时填补空白，它就是强力买入标的。 英伟达订单积压已满，AI需求并未放缓。
原推 ↗英文原文
Nvidia ( $NVDA ) reported a blowout Q3 FY2026 revenue of $57.01 billion (+62.5% YoY). And guided $65B+ Q4 ($3B+ beat), and $500B+ USD in Blackwell/Rubin rev through CY 2026. Despite that, the stock dropped 12%. Is $NVDA a strong buy now? Here's the answer: $GOOGL TPU's program emerged as the first competitive alternative to $NVDA GPUs, with Anthropic committing to over 1 million TPU chips and Meta reportedly in advanced negotiations for billions in TPU purchases. Warren Buffet also recently invested $4B+ into $GOOGL, which is extraordinarily rare given Berkshire's conservative stance to tech investments. Despite a record earnings beat, Nvidia's stock has declined in six of the last ten trading sessions and sits roughly 12-15% below its October 29 all-time high of $207.04, when it briefly touched a $5.03 trillion market cap. Analyst reaction was overwhelmingly bullish, with price targets raised across the board: - Evercore ISI raised to $352 from $261 - Bank of America raised to $275 from $235 - Citigroup raised to $270 from $220 - Goldman Sachs raised to $250 from $240 - Morgan Stanley raised to $235 from $220 But here's the trillion dollar question: will the emerging custom silicon threat from hyperscalers reduce NVIDIA dominance in AI? Unlike $AMD, which primarily captures overflow demand when NVIDIA GPUs are unavailable, Google's TPU program represents a fundamentally different competitive dynamic. TPU v7 Ironwood is the first non-NVIDIA accelerator that achieves performance parity with Blackwell, delivering 4.6 petaflops of FP8 performance (versus B200's 4.5 petaflops) with 192GB HBM3e memory. Ironwood's architectural differentiation is substantial. While NVIDIA's largest cluster configuration is 72 GPUs (NVL72), TPU Ironwood scleaes to 9,216 chip pods. The customer wins are significant and growing: - Anthropic committed to over 1 million TPU chips worth "tens of billions of dollars," with 1 gw of compute capacity coming online. - Meta is in advanced negotiations to rent TPU capacity from Google Cloud in 2026, with direct hardware purchases for its own data centers planned for 2027. - Apple revealed that Apple Intelligence foundation models were trained entirely on TPUs using 8,192 TPUv4 chips for server models - Midjourney switched from GPUs to TPUs and reduced inference costs by 65% (from $2M to $700K monthly) The positioning is nuanced. TPUs excel at hyperscale inference with up to 4x better cost-performance for production serving at scale (for now). For training, NVIDIA is the clear advantage. For highly optimized inference tasks, TPU architecture might remain more efficient than $NVDA's general-purpose GPU. However, I'm expecting next-gen Nvidia GPUs to leapfrog TPUs for inference in many scenarios. (similar to how LLMs leapfrog each other GPT 5 -> Gemini 3 -> Opus 4.5) We're seeing: Google TPU, AWS Trainium, Meta MTIA, Microsoft Maia, and custom hyperscaler chips scale up to reliance on $NVDA. But will the cumulative effect on hyperscalers collectively reducing Nvidia's dominance? The answer: No. Not yet. Dominance is secured at least for the next two years. What happens after is only speculation. Just looking at the numbers: Q3 results confirm the company remains the essential infrastructure provider for AI, with a $500 billion order backlog providing exceptional visibility through 2026. But the market appears to be pricing in this nuanced reality 3 years+ from now: long-term competitive uncertainty with custom hyperscaler chips. Nvidia is completely sold out of capacity, and are likely to leapfrog TPU performance in their next generation chips (higher performance for inference while being general purpose). But the custom silicon threat and valuation concerns at 44x earnings remains a headwind. Regardless, $NVDA seems to be a strong mid term dip-buy now on fears, given the exceptional blowout earnings and backlog for the next 2 years. This is the only thing you need to remember: NVIDIA is a strong buy as long as it remains the industry’s first choice for AI workloads, with TPUs and AMD GPUs filling gaps when demand exceeds NVIDIA’s supply. Nvidia is maxed out on backlog, and AI demand is not slowing down.
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TPU/AMD因NVDA产能受限受追捧，若NVDA产能过剩才需担忧竞争逆风。
问得极好，我关于谷歌TPU（张量处理单元）有一个非常详尽且微妙的论点。 总结：真正需要担心的是，如果TPU和AMD在长期表现上优于$NVDA，导致人们**偏好**其他GPU并转而购买它们。而不是因为$NVDA的GPU卖光了，被迫去买替代品。 但这只是简版。目前的情况就像$AMD： 它是$NVDA潜在的竞争替代品，短期内对基本面影响不大。 这对$NVDA专属云（如$CRWV）和$NVDA自身（例如$META可能会购买TPU）构成长期逆风。但其中的微妙之处在于，$NVDA受限于GPU产能，否则$META可能根本不会去买任何TPU。 短期/中期对盈利影响不大。中期对$TSM、像$CIFR这样的 Colo（数据中心）提供商、以及GPU无关的云提供商构成顺风。 $NVDA刚经历了一个爆发性的季度，Q4预测也极其惊人。直接看那些营收预测就好。 所以我说的微妙之处在于：人们买$AMD和TPU是因为产能受限。$NVDA生产的任何东西都能售罄。 如果$NVDA生产的任何东西都卖不完，那时你才需要担心逆风和$NVDA的故事。
原推 ↗英文原文
Amazing question, so I have a really long nuanced thesis regarding Google TPUs. SUMMARY: The thing to be worried about is if TPUs and AMD outperform $NVDA long term, so people **PREFER** other GPUs and buy them instead. Not because they ran out of $NVDA GPUs to buy and are forced to go get alternatives. But this is a TLDR. Right now it's like $AMD: Potential competitive alternative to $NVDA, not much of an impact near term to fundamentals. This is a long term headwind against NVDA specific-clouds ( $CRWV ) and $NVDA itself (eg. how $META might buy TPUs ). But part of that nuance is because $NVDA is constrained on how much GPUs they can produce lol, otherwise $META might not just buy any TPUs. Short-term/mid-term it's not very material to earnings. Medium term tailwind for $TSM, colo providers like $CIFR, GPU agnostic cloud providers. $NVDA just had a blowout quarter and absolutely insane Q4 projections. Just go off those revenue projections. SO the nuance what I'm trying to say is people buy $AMD, TPUs because they're capacity straigned. $NVDA sells out of Anything they produce. If $NVDA can't sell out of anything they produce, then that's where you get worried about the headwinds and $NVDA story.
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列举AI领域资本支出加速增长的10大证据，强调AI赛道持续高景气度与投资机遇
对于AI领域的任何人来说，很难不看好。 资本支出正在加速增长，而且是以指数级的速度。 直接流向以下几个方面： 新云服务商：$CIFR、$NBIS、$WULF、$IREN， 连接性：$ALAB、$CRDO、$CLS， 能源：$VST、$FLNC、$TE、$EOS， 半导体/晶圆厂：$NVDA、$AMD、$GOOGL、$TSM， 存储：$SNDK、$MU和$STX。 仅在过去几周，我们就看到： 1. AI曼哈顿计划——美国政府正给予顶级模型访问专有实验室数据的权限以加速研究。 2. $GOOGL在德克萨斯州投资400亿美元建设数据中心。 3. Anthropic投资500亿美元建设边缘计算基础设施以支持其Opus 4.5+模型。 4. $TSM公布创纪录的远期收入数据（AI支出）。 5. $NVDA确认创纪录的远期收入数据（AI支出，锁定2年产量）。 6. $META将2025年数据中心/AI资本支出提升至400-450亿美元，用于llama5-6。 7. 今年三次降息以加速增长并降低融资成本。 8. Dominion Energy警告AI数据中心带来大规模电力负荷激增。 9. $AVGO表示AI网络订单达到前所未有的规模。 10. 阿联酋和主权国家推进AI发展。 我们没有看到任何放缓。只有创纪录的增长。 事实上，随着Claude Opus 4.5、Gemini 3的最新模型进展，以及美国政府的新承诺，感觉我们才刚刚看到人工智能新前沿的冰山一角。 （该推文引用了 @aleabitoreddit 的推文，引用内容仅供理解语境）: Nebius [$NBIS]是当前被低估最多的成长型公司。 它有潜力以210亿美元的市值成为下一个$GOOGL。原因很简单： 它的投资组合公司令人惊叹。 这个概念最令人难以置信的例子是$FTX公司。以下是故事： 当我们观察$META如何增长成为万亿美元公司时，不仅仅是Facebook。他们的投资组合公司Instagram、Whatsapp和其他应用使Meta主导了社交媒体领域。 $FTX在数字资产和前沿技术领域做着类似的事情。 四年前，即2021年，$FTX向一个大资产篮子投资了58亿美元。其中很大一部分投入了这三家核心公司： 1. Anthropic，持股13.56%，估值25亿美元。 2. Robinhood [$HOOD]，持股7.6%，估值85.4亿美元。 3. Solana [$SOL]，4100万+代币。 快进到今天，那将是： · Anthropic最新一轮估值3500亿美元。那部分股份价值约474亿美元。 · Robinhood现在市值超过1000亿美元。那部分股份价值约76亿美元。 · Solana现在每个代币价值131.5美元，使那部分股份远超57亿美元。 仅这三家公司就在4年内产生了超过550亿美元的价值，这甚至还不包括FTX的数百亿美元加上其他数十项投资，以及Chime、Layerzero、Aptos、Hidden Road（被$COIN收购）和加密货币的持股。 他们的投资组合公司比他们的核心业务更持久（想象一下，如果核心业务像$GOOGL搜索和YouTube一样持续增长，那将价值多少）。 $NBIS现在有着与$FTX在加密领域、$META在社交媒体领域相同的布局，但在人工智能领域拥有合法且飞速增长的核心业务。 Nebius拥有： 1. Clickhouse，28%持股，估值约70亿美元（2025年上半年为63亿美元）。 2. Avride，83%持股，估值约60亿美元（优步融资后）。 3. Toloka AI，约65%持股，估值约6.4亿美元。 4. TripleTen，100%持股，估值约3亿美元。 · Clickhouse为Anthropic、$META、$TSLA、$NET和许多财富500强公司提供支持。 · Avride是一家自动驾驶出租车机器人公司，从Yandex分拆出来，$UBER在3.75亿美元融资轮中投资以与Waymo竞争。 · Toloka是一个AI标注平台，亚马逊、微软、Anthropic和Shopify都在使用。 19.6亿美元+49.6亿美元+4.16亿美元+3亿美元=76亿美元的投资组合公司估值，这些公司的增长速度超过大多数公开成长型公司。 但如果我们看看他们以每年700%+的速度增长至70-90亿美元ARR的核心业务，拥有48亿美元现金，为$META、$MSFT、Cursor、政府和更多客户提供支持…… 这可能是它以低于90美元的最后一个月，因为今天MSCI纳入将为其带来从数亿美元到低数十亿美元的额外资金流入。如果我们看看$IREN或$CIFR等热门选择，没有任何其他数据中心成长型公司有这种类型的投资组合。 $NBIS估值仅210亿美元，市场正在忽视这个机会。
原推 ↗英文原文
It’s hard for anyone in the AI space not to be bullish. Capex is ramping up. Exponentially. And flowing directly down to: Neoclouds: $CIFR, $NBIS, $WULF, $IREN, Connectivity: $ALAB, $CRDO, $CLS. Energy: $VST, $FLNC, $TE, $EOSe Semi/foundries: $NVDA, $AMD, $GOOGL, $TSM Memory: $SNDK, $MU, and $STX In the past few weeks alone, we got: 1. Manhattan Project for AI - US government is giving top models access to propriety labs data for accelerating research 2. $GOOGL spending $40 on DC buildout in Texas 3. Anthropic spending $50 on EC buildout to support their Opus 4.5+ models 4. $TSM confining record forward revenue numbers (AI spend) 5. $NVDA confirming record forward revenue numbers (AI spend, 2Y production locked in) 6. $META upping 2025 DC/AI capex spend to $40-$45B for llama5-6 7. 3x rate cut this year to accelerate growth and make funding cheaper. 8. Dominion Energy warning of massive AI power load surge from AI datacenters 9. $AVGO signaling AI networking orders at unprecedented scale 10. UAE and sovereign countries pushing into AI We’re not seeing any slowdown. Only record growth. In fact, with the recent model developments from Claude Opus 4.5, Gemini 3, and now new commitment from the US government, it feels like we're just seeing the tip of the new frontier for Artificial Intelligence.
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分析$NBIS自建数据中心、GPU贬值、融资稀释及过度建设四大风险。
关于风险的好问题，我也喜欢讨论下行风险。 1. 超大规模云厂商(Hyperscalers)在5年内完全自建数据中心，包括GPU（$GOOGL的TPU，$AWS的Tranium）、能源和选址。 这类似于高通(Qualcomm)与苹果的关系。苹果使用$QLCM，然后建立垂直整合——一旦完成就抛弃客户。因此在此期间建立公司自身护城河很重要（$NBIS在此期间通过Cursor、Shopify等企业客户进行全栈建设并扩展子公司。完全依赖一两个超大规模云厂商合同的公司表现不佳）。 2. $NBIS、$IREN、$CRWV和$ORCL的GPU贬值风险。 任何进行全栈服务的提供商都有更高的利润率、更高的收入和更快的爬坡速度。但这涉及在GPU上花费数十亿美元，而这些GPU在未来4年内价值大幅缩水。 我一直认为GPU多年后仍有价值，例如TPU仍在使用7-8年，2020年的$NVDA GPU仍高价转售并用于不同层级的推理（低优先级），并与新模型并行运行。 3. 信贷收紧+稀释 建设支出过多->需要更多稀释以建设和购买GPU。我们已经看到$4B可转债+$2.5B ATM发行。$NBIS应该足够，但始终存在利润率低于预期的风险（如$ORCL建设），然后公司需要更多稀释。在更难融资的市场中（如$APLD垃圾债），可能会遇到$CRWV的问题，被迫以糟糕的利率融资，侵蚀利润率。 4. 过度建设 如果LLM软件有突破，例如Claude Opus 4.5使用DeepSeek类型的轻量级推理，那么GPU利用率降低，我们会看到数据中心、$NVDA、$AMD等随AI浪潮下跌。 这些可能是$NBIS的四个主要风险。每家公司不同，对于$IREN我会指出其IaaS层的软件编排以优化利润率，但$NBIS已经掌握这一点。
原推 ↗英文原文
Good question about risk, I enjoy talking about the downsides too. 1. Hyperscalers completely their own datacenter buildout with GPUs (TPUs with $GOOGL, Tranium with $AWS), energy, locations in 5+ years. This is the analogy of Qualcomm with Apple. Apple just uses $QLCM, then builds it's own vertical integration -> once it's done it sacks the customer. Hence why it's important to build up a company's own moat during the time ( $NBIS is doing full-stack with its own enterprise clients like cursor, shopify, etc during this time and scaling subsidiaries. Companies fully dependent on one or two hyperscaler contracts don't do well). 2. GPU deprecation for $NBIS, $IREN, $CRWV, and $ORCL. Any provider doing full stack has higher margins, higher revenue, higher ramp. But that comes into spending billions on GPUs and the GPUs not too much value over the course of the next 4 years. I've always maintained GPUs are still valuable many years later, eg. TPUs still are used 7-8 years later, 2020 $NVDA GPUs are still resold high and are used different stacks of inference (lower prio) but run alongside newer models. 3. Credit tightening + dilution Too much spend on buildout -> needs to dilute more to build + buy GPUs. We've already seen that with the $4B convertible + $2.5B ATM offering. $NBIS should have enough, but there's always the risk margins are lower than expected eg. $ORCL buildout, then the company needs to dilute more. In a market where it's harder to raise eg. $APLD junk bonds, it might run into the $CRWV problem where they are forced to raise money with terrible interest rates cutting into the margins. 4. Overbuildout If there's a breakthrough in LLM software, for example, Claude Opus 4.5 using deepseek type lightweight inference, then less utilization of GPUs then we see data centers, $NVDA, $AMD, and others go down with the AI ship. Those are probably the four main risks for $NBIS. This is different for each company, for $IREN I would point to software orchestration for their iaas layer for margin optimization but for $NBIS they have that down.
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四大流动性冲击引发高杠杆资产暴跌，但AI巨头基本面未变。
市场刚刚经历了近代史上最严重的去杠杆冲击。 高贝塔资产正在崩溃： • $NBIS, $IREN, AI 股票从高点下跌约 40%+ • $MSTR, $BTC 在过去一个月暴跌 30-40%+ • 加密货币市值蒸发超过 1.2 万亿美元 这不正常，这是针对市场上增长最快且杠杆最高的板块的强制平仓。 以下是同时发生的四个流动性流失因素： 1. 加密货币前兆冲击（2025 年 10 月 – Binance 故障） • Binance 的定价错误导致 USDe 跌至 0.65 美元，在 24 小时内触发了超过 190 亿美元的强制清算 • 使用 USDe/wBETH/BNSOL 的高杠杆头寸（25x–50x）引发了全行业连锁保证金清算的连锁反应 • 该事件使加密货币结构脆弱，波动性现在威胁到流入 $MSTR/国债股票超过 70 亿美元的 MSCI 资金，存在 BTC/NAV 错配和强制出售比特币的风险 2. 美联储政策不确定性（降息鞭打效应） • 在美联储发出矛盾信号后两天内，市场对 12 月降息预期从 97% → 35% → 70%+ • 这种波动起到了隐性紧缩的作用，迫使杠杆基金和算法（在 $NVDA 财报后看到的情况）提前去杠杆 • 政策模糊性提高了全球风险，将美国的不确定性传导至全球融资市场的广泛抛售 3. AI 信贷压力（投机性债务破裂） • AI 建设需要 3.5 万亿美元的外部融资，促使公司大量进入债务市场 • Google + XAI 在 Similarweb 上的使用量提升引发了人们对 OpenAI 和循环融资的担忧，以及 $1T+ 的资本支出流向 $ORCL, $CRWV, $AMD 等公司，而这些公司并没有必要的资本。 • Applied Digital [ $APLD ] 23.5 亿美元垃圾债券（评级 B+）暴露了交易对手和集中度风险，由于需要更多债务来资助建设，其股票及相关数据中心股票下跌。 • 资本市场开始区分拥有真实现金流的公司和依赖投机性债务及 OpenAI 合同的公司，惩罚了如 $ORCL 和 $CRWV 等标的。 4. 日元套利交易平仓（催化剂） • 日本央行加息至 0.5% 及正常化缩小了美日利差，挤压了 80 万亿日元（约 5000 亿美元）的杠杆头寸 • 日本国债收益率上升引发回流资金，给美国收益率带来压力并抽干全球流动性 • 强制平仓导致投资者出售美国科技股和加密货币以偿还日元贷款，加剧了避险情绪的连锁反应 底线： 所有四个冲击都从市场的同一角落抽干了流动性——高贝塔、高杠杆资产，导致成长型科技和加密货币剧烈去杠杆，并增加了进一步强制抛售的风险。 过度的杠杆、脆弱的资产负债表和集中度风险决定了哪些资产跌幅最大。 美联储开启新一轮降息周期是一个“拐点”，投资者需要判断这种宽松是预防性措施还是对更严重衰退的反应。然而有一件事是确定的： 宏观冲击重置了估值，但并没有改变从 $NBIS 到 $META 的企业基本面。
原推 ↗英文原文
Markets just suffered their worst deleveraging shock in recent history. High-beta assets are collapsing: • $NBIS, $IREN, AI stocks are down ~40%+ from peaks • $MSTR, $BTC plunged 30-40%+ in the past month • Crypto erased over $1.2 trillion in value This wasn’t normal, it was a forced unwind across the markets with the most growth and leverage. Here's the four liquidity drains hitting at once: 1. Crypto precursor shock (Oct 2025 – Binance failure) • A pricing error on Binance sent USDe to $0.65, triggering $19B+ in forced liquidations in 24 hours • Highly leveraged positions (25x–50x) using USDe/wBETH/BNSOL cascaded into a chain reaction of cascading margin liquidations across the industry • The event left crypto structurally fragile, and volatility now threatens $7B+ MSCI inflows into $MSTR/treasury stocks, risking BTC/NAV mispricing and forced Bitcoin sales 2. Fed policy uncertainty (rate cut whiplash) • Markets priced a December cut at 97% → 35% → 70%+ in two days after conflicting Fed signals • This volatility acted as a stealth tightening, forcing leveraged funds and algorithms (seen post $NVDA earnings) to deleverage pre-emptively • Policy ambiguity raised global risk, transmitting U.S. uncertainty into broad selling across global funding markets 3. AI credit stress (speculative debt cracks) • AI build-out requires $3.5T in external financing, pushing companies heavily into debt markets • Google + XAI raise in usage per similarweb raised concerns about OpenAI and circular financing, alongside how $1T+ in capex spend going into $ORCL, $CRWV, $AMD, and others without having the ncessary capital. • Applied Digital [ $APLD ] $2.35B junk bond (rated B+) exposed counterparty and concentration risk, sending its stock and related data center stocks down due to the need of more debt to fund buildout. • Capital markets began differentiating between firms with real cash flow and those reliant on speculative debt and OpenAI contracts, punishing names such as $ORCL and $CRWV. 4. Yen carry trade unwind (the catalyst) • BoJ rate hikes to 0.5% and normalization narrowed the U.S.–Japan rate gap, squeezing ¥80T (~$500B) in leveraged positions • Rising JGB yields triggered repatriation flows, pressuring U.S. yields and draining global liquidity • Forced unwinds led investors to sell U.S. tech and crypto to repay yen loans, amplifying the risk-off cascade Bottom line: All four shocks drained liquidity from the same corner of the market, high-beta, leveraged assets, driving a violent unwind in growth tech and crypto and raising the risk of further forced selling. Excessive leverage, fragile balance sheets, and concentration risk determined which assets crashed the hardest. The beginning of a new rate-cutting cycle by the Fed is an "inflection point" as investors need to determine whether the easing is a preventative measure or a reaction to a more serious downturn. However one thing is for certain: The macro shock reset valuations, but it didn’t change the fundamentals of businesses from $NBIS to $META.
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深度解析9只个股基本面与目标价，指导散户建立独立估值模型。
基于权益排名表： 以下是对每只股票的深入分析，以及我如何重新调整投资组合以利用市场重置： · $NBIS 现价 $92，目标价 $400 / 1年 · $RKLB 现价 $43，目标价 $500 / 5年 · $CRCL 现价 $72，目标价 $150 / 8个月 · $ALAB 现价 $143.4，目标价 $250 / 6个月 · $SNAP 现价 $8.1，目标价 $22 / 1年 · $CIFR 现价 $14.8，目标价 $28 / 6个月 · $RDDT 现价 $185，目标价 $275 / 8个月 · $SMCI 现价 $34，目标价 $55 / 6个月 · $HIMS 现价 $35，目标价 $60 / 6个月 此顺序基于发布时的持仓集中度权重，以及基于现有信息对中型市值（$50亿+）板块的内部目标价推测。 以下是每只股票及目标价时间框架的深入拆解，以及“定性”理由： 1. Nebius ($NBIS)：市值 $230亿。极度低估且与基本面脱节。 $70-90亿远期年度经常性收入(ARR)，20-30%息税摊销前利润(EBIT)，来自 Shopify、埃森哲、Cursor、外国政府的企业合同，以及来自 Meta 和微软的超大规模客户合同，为 Nebius 提供了收入可见性。拥有 $48亿+现金，使其免受影响数据中心的信贷紧缩影响。预计 2026 年签约容量达 2.5 GW，可与许多其他公司（如 $IREN 的 2.8 GW）媲美，并击败许多关于容量/电力的论点。由于其许多投资组合公司支持 Tesla 和 Anthropic 等公司，它也具有更高的增长潜力（想想 $MSFT 及其投资组合公司带来的长期防御性）。 此外，随着 $NVDA 第四季度业绩爆发，Jensen 澄清了反对 GPU 折旧的论点，这有助于提升数据中心板块情绪。 1年目标价 $400，基于远期收入/利润率估值达 $1000亿+。 2. Rocketlab ($RKLB)：市值 $220亿。短期高估，长期潜力低估。 Rocketlab 是我与比特币并列的最高确信度5年长线标的。在太空领域，并非赢家通吃，我维持 $3500-5000亿长期目标价以匹配 SpaceX 的最新估值/能力。 目前它被高估。但从纯技术角度看，构建可重复使用火箭构成了惊人且具防御性的护城河，我们正处于其端到端太空产品大规模商业化（可能在 ~2028 年）的早期阶段。 然而，市场正在计入 Flatlite 商业化（如 Starlink）和中程有效载荷（SpaceX Falcon 9）的远期增长。市场也计入远期增长，但对于 Rocketlab 而言，关键在于未来有多远。这始终是一个坚实的买入机会，取决于你对公司执行的耐心程度。 3. Circle ($CRCL) - 市值 $160亿，低估。 对于 Circle，自其市值 $500亿以来我就看空，建议做空 Circle，做多 Coinbase，因为 $COIN 与 Circle 有 50% 的收入分成。 此前因流通股本数字和财报后/12月2日巨大的内部人锁定期导致抛售（类似 $BULL）而被高估。流通股本动态很重要，像 Cathie Wood 这样的 ETF 经理似乎不理解（因此我的警告）。 但现在我们达到了合理的估值水平。我预计 USDC 商业化将继续，鉴于数字资产市场的监管重点，我看到 $CRCL 将接管 Tether 的大部分市值。 话虽如此，一旦我们看到内部人股份重新分配给机构和长期持有者，计入稳定币交易量增长，它完全值得 $300亿+的市值定价。 4. Astera Labs ($ALAB) - 市值 $220亿，估值合理 ALAB 是我中期高确信度选股之一，因为 Mag7 采用其连接技术用于数据中心建设。 增长极高，利润率类似 $NVDA，约为 ~74%，最新估算：$2.3亿/季度（同比增长 101%）。我的论点是，如果 Mag7 依赖某家公司（$NVDA 用于 GPU，NBIS、IREN、CIFR 用于 DC AI 云建设），该公司将连续几个季度大幅超出预期，我们正看到这一点。 尽管全面超出业绩预期，Astera 最近从 $250 抛售回 $140 区间，这提供了一个良好的买入机会。 我维持中期目标价 $250，以在 NVDA 业绩后及 Anthropic $400亿 DC 到 $GOOGL 在德克萨斯州 $500亿 DC + 连接需求创纪录的数据中心建设后恢复。 5. Snapchat ($SNAP) 市值 $130亿，低估。 $SNAP 是我最不喜欢的股票和 CEO 之一（抱歉 Evan）。 然而，我无法反驳基本面的变化。我最近论点帖子的 TLDR 是，他们正在削减来自存储 10 年前记忆/视频的巨大运营支出膨胀，如果你查看他们的 GCP 托管费用，这会侵蚀利润率。 现在他们既减少了该 OPex 成本，又从中增加了收入。我们还有与 Perplexity 的 AI 交易，增加了 $4亿+的额外收入流，如 RDDT。 然而，短期内由于相对于 AI 公司的表现不佳，它正遭受税务收割。在 2026 年 Q1，我预计市场将开始大幅计入新的基本面，该公司将大幅超出预期。 话虽如此，随着市场计入新动态，我预计从此处 1 年内有超过 200%+ 的上涨空间。 5. CIFR ($CIFR) - 市值 $50亿，低估 $CIFR 是 Neocloud 板块中我最喜欢的第二只股票。据记忆，其资产负债表上持有大量比特币，并受到 BTC 价格从 $120k 跌至 $90k 的实质性影响。 然而，我预计随着级联保证金清算结束且机构以低价买入比特币，加密资产价格将在几个月内恢复。 Nebius 位居榜首，因为它拥有完整的 AI-云价值链，具有更高的收入潜力和更强的回报，尽管这迫使他们处理编排、软件和 GPU 生命周期风险，而不是坚持托管。 然而，$CIFR 避免了整个风险面，并拥有 AMZN 和 GOOGL 的支持作为长期收入锚点。它也免受 GPU 采购、管理和折旧的影响。 对于 CIFR 的经济模型，我们获得了一个基于超大规模客户空间、电力和冷却的高利润率、年金结构。经风险调整后，它是该组中最安全的名称之一。但权衡是上涨空间受限。像 10 年、15 年这样的长期租赁减缓了收入爬坡，并相对于从 $1.45亿季度收入到一年内 $21亿的全栈 Neocloud 运营商（如 NBIS）削弱了回报。 话虽如此，一旦市场计入 $AMZN、$GOOGL Fluidstack 收入且比特币价格恢复，我维持 1 个月后的 $28 目标价。 6. Reddit ($RDDT) - 估值适中 来自 WSB 子版块 Wendy's 垃圾桶的我，自然对这个平台有偏见。 然而，Reddit 最初从 $270 的抛售是由于对 ChatGPT 引用的担忧，这是不重要的。现在，最新数据显示引用回来了，但 Reddit 的价格仍停留在 $185（远低于该数字）+ 部分由于宏观因素。 Reddit 是最不臃肿、高利润的社交媒体公司之一。由于年轻和年长受众的网络效应的长期防御性（与 Snap 9亿+ MAU 主要为年轻一代相比），它将长存。 我预计 RDDT 将通过收购（如 $HOOD 交易所）扩大货币化途径，得益于其巨大的自由现金流(FCF)和盈利能力，或者像 Facebook 最初收购 WhatsApp、Instagram、构建 Messenger 一样。这是一只低风险、高增长的股票，因此我维持 8 个月后的 $275 目标价。 7. SMCI ($SMCI) - 低估，市值 $200亿。 $200亿市值是个笑话。无话可说。他们正在实现 $50亿季度收入（当然利润率较低）。然而，市场正在计入公司收入下降。 SMCI 将大部分积压订单推迟到 2026 年 Q2，这与 Neoclouds 到 Mag7 客户的许多数据中心建设相一致。 他们预计明年收入同比增长 50%+，至少 $360亿收入，但鉴于 NVDA 业绩爆发带来的数据中心建设，我预计服务器机架公司如 $DELL 和 SMCI 将在 2026 年 Q2 表现优异。 这就是为什么我利用当前季度的收入滞后延迟，并分配 6 个月后的 $55 目标价。 8. Hims and Her Health ($HIMS) - 低估（市值 $80亿） 个人而言，我仅将 HIMS 用于短期交易突破。我一直不长期持有高于 $50 的股票。 然而，回到 $35，它重置了今年大部分的增长，但收入同比增长 49% 至 $5亿，并产生大量自由现金流。 最被低估的叙事是 Zava 收购。这为 HIMS 平台增加了 130万+用户，并使公司能够扩展到欧盟市场。 类似于 META 收购 Instagram 等公司，扩大基础+货币化，我预计 HIMS 将对 Zava 做同样的事情 + 市场正在计入当前的 Zava 估算数字。 这可能是我信心最低的股票，尤其是 CEO 在离开后出售股份，在 $70 时的 SS 帖子让我味道不好 👀。 但话虽如此，这是一个在 6 个月时间内反弹至 $60 的好机会。 希望你喜欢我的观点。有很多关于价格的帖子，但我试图留下更定性的拆解（+ 部分定量，但省略很多技术内容以便阅读），以帮助散户建立自己的确信度和理解。 建立理解对于创建你自己的内部估值模型很重要，而不是盲目跟随 FinX 发帖人 + 当股价暂时下跌时投降。 如果你留下你的投资组合+集中度，我很乐意讨论更多。
原推 ↗英文原文
Based on the equity ranking table: Here's a deeper analysis of each stock, alongside how I reposition my portfolio to capitalize on the market reset: · $NBIS at $92, PT $400 / 1Y · $RKLB at $43, PT $500 / 5Y · $CRCL at $72, PT $150 / 8M · $ALAB at $143.4, PT $250 / 6M · $SNAP at $8.1, PT $22 / 1Y · $CIFR at $14.8, PT $28 / 6M · $RDDT at $185, PT $275 / 8M · $SMCI at $34, PT $55 / 6M · $HIMS at $35, PT $60 / 6M This is in order of concentration weighting from when posted and internal PT speculation based on existing information for mid-cap ($5B+) sections. Here’s a deeper breakdown on each one and PT timeframe, and a “qualitative”why: 1. Nebius ( $NBIS ): $23B marketcap. Incredibly undervalued and detached from fundamentals. $7-9B forward ARR, 20-30% EBIT, enterprise contracts from Shopify, Accenture, Cursor, foreign governments and hyperscaler contracts from Meta and Microsoft give Nebius revenue visibility. With $4.8B+ in cash, it's isolated from credit tightening affecting data centers. With 2.5 GW expected capacity contracted 2026, it rivals many others eg. $IREN at 2.8 GW, and defeats many of the capacity/power arguments. With many portfolio companies powering companies like Tesla and Anthropic, it also has higher growth potential (think $MSFT with its portfolio companies for longer defensibility). We also had stellar $NVDA earnings going into Q4 with their blowout, Jensen clarifying arguments against GPU depreciation, which helps with DC sector sentiment. $400 1 year price target, $100B+ valuation given forward revenue/margins. 2. Rocketlab ( $RKLB ): $22B marketcap. Overvalued current term, undervalued long term potential. Rocketlab is my highest conviction 5Y long alongside Bitcoin. With Space, it's not winner takes all, and I've maintained $350-500B long term PT to match SpaceX’s most recent valuation/capabilities. As of now, it's overvalued. But it's an incredible + defensible moat from purely a technological standpoint building reusable rockets and we're early in terms of commercialization of their end-to-end space products at scale (likely ~2028). However, we're pricing in forward growth with Flatlite commericalization (eg. Starlink), and medium-lift payloads (SpaceX Falcon 9). The market prices in forward growth as well but it’s more about how long in the future with Rocketlab. It's always a solid buy, depending on how patient you are with company execution. 3. Circle ( $CRCL ) - $16B marketcap, undervalued. With Circle, I've been bear posting it since it was a $50B marketcap, saying short Circle, long Coinbase, given $COIN has 50% revenue sharing with Circle. It was overvalued due to float numbers and massive insider lockups 2-3 days after earnings/Dec 2nd led to a sell-off (like $BULL). Float dynamics matter a lot that ETF managers like Cathie Wood seem to not understand (hence my warnings). But now we're reaching respectable valuation numbers. I expect USDC commercialization to continue and given a regulatory focus in the digital asset market, I see $CRCL taking over a lot of Tether's marketcap. That being said, it's well deserving of a $30B+ marketcap pricing in stablecoin volume growth once we start seeing insider shares redistributed to institutions and long term holders. 4. Astera Labs ( $ALAB ) - $22B marketcap, reasonable valuation ALAB was one of my mid-term high conviction picks, due to Mag7 adoption of connectivity for datacenter buildout. Incredibly high growth and $NVDA-like margins sitting at ~74%, latest er: $230m/q (101% Y/Y growth). My thesis was that if Mag7 is dependent on a company ($NVDA for GPUs) ( NBIS, IREN, CIFR for DC AI cloud buildout), the company will blow away expections quarter after quarter, and we're seeing this. There's been a recent sell-off on Astera from $250 back to $140 marks, depsite beating earning expectations across the board and this presents a good buying opportunity. I maintain a medium term PT $250 for recovery after NVDA earnings and record-high DC buildout from Antrophic's $40B DC to $GOOGL's $50B DC in Texas + connectivity demand. 5. Snapchat ( $SNAP ) $13B marketcap, undervalued. $SNAP is one of my least favorite stocks and CEO's (sorry Evan). However, I can't argue with fundamental changes. A TLDR of my most recent thesis post was that they're cutting their massive opex bloat from memories/videos stored 10 years ago and if you look into their GCP hosting fees, it's cutting in margins. Now they're both reducing that OPex cost and increasing revenue from that. We also have AI deals with perplexity adding $400m+ additional revenue streams like RDDT. However, short term it's suffering from tax-harvesting due to underperformance this year relative to AI companies. In 2026 Q1, I expect the market to start pricing in the new fundamentals Hard. and for this company to beat expectation soundly. That being said I expect over a 200%+ upside 1Y from here with the market pricing in the new dynamics. 5. CIFR ( $CIFR ) - Undervalued at $5B marketcap $CIFR is my second favorite stock in the Neocloud sector. From memory, it holds a lot of Bitcoin on its balance sheet and is materially affected by the selloff in BTC prices from $120k to $90k. However I expect crypto asset prices to recover in a few months once cascading margin liqudations finish and instituions buy-in Bitcoin at low prices. Nebius is top because it owns the full AI-cloud value chain for higher revenue potential and stronger returns, even though it forces them to handle orchestration, software, and GPU lifecycle risk instead of sticking to colocation. However, $CIFR because it avoids that entire risk surface and has backing from AMZN and GOOGL for long term revenue anchors. It also stays insulated from GPU procurement, management, and depreciation. For CIFR's economics we get a a high-margin, annuity structure built on space, power, and cooling for hyperscalers. Risk-adjusted, it’s one of the safest names in the group. But the trade-off is capped upside Long leases like 10Y, 15Y slow the revenue ramp and mute the payoff relative to full-stack Neocloud operators like NBIS that go from $145m quarterly revenue to $2.1B in a year. That being said I maintain a $28 PT in 1 month once market prices in $AMZN, $GOOGL Fluidstack revenue and Bitcoin prices recover. 6. Reddit ( $RDDT ) - Moderate valuation Coming from the Wendy's dumpsters on WSB subreddit, I am naturally biased toward this platform. However, the initial sell-off of Reddit at $270 was due to fears over ChatGPT citations, which was immaterial. Now, recent data shows that citations are back, but Reddit's price still sits at $185 (way below that number) + partly due to macro. Reddit is one of the least bloated, highly profitable social media companies. And it's here to stay due to long term defensibility of the network effect of both younger + older audiences (compared to Snap 900m+ MAU of mostly younger generation). I expect RDDT to scale up monetization avenues through acquisitions like $HOOD (exchanges) due to their massive FCF and profitability or how Facebook originally acquired WhatsApp, Instagram, built out messenger. It's a low-risk, high growth stock, which is why I maintain a $275 PT in 8 months. 7. SMCI ( $SMCI ) - Undervalued, $20B marketcap. $20B marketcap is a joke. Nothing else to say. They're doing $5B quarterly revenue (off lower-margins for sure). However, market is pricing in the company revenue dropping. SMCI quoted majority of the backlog delay to Q2 2026, which aligns with a lot of the DC buildout from Neoclouds to Mag7 customers. They expect revenue to grow 50%+ Y/Y next year, with at least $36 billion revenue, but judging from DC buildout from blowout NVDA earnings, I expect server rack companies like $DELL and SMCI to outperform Q2 2026. This is why I'm taking advantage of revenue lag delays from the current quarter and assigning a $55 PT in 6 months time. 8. Hims and Her Health ( $HIMS) - Undervalued ( $8B marketcap) Personally, I've used HIMS just for short term trading breakouts. And I've been one to not long-term hold the stock above $50. However, back at $35, it's reset most of the year's growth but grew revenue 49% Y/Y to $500m and is producing a good amount of FCF. The most under-priced narrative is the Zava acquisition. This adds 1.3M+ users to the HIMS platform and allows the company to expand to the EU market. Similar to how META acquires companies like Instagram, grows its base + monetizes, I expect HIMS to do the same with Zava + market is pricing in current est. Zava numbers. It's probably my least confident stock out of the bunch, especially leaving me with a bad taste with the CEO selling shares after leaving 👀 on SS posts back at $70. But that being said it's a great rebound opportunity to $60 in a 6 month timeframe. Hope you enjoyed my perspective. There's a lot of x at price posts, but I try to leave a more qualitative breakdown (+ part quantitative but leave out a lot of technical for easier reading) to help retail develop their own conviction and understanding. Building understanding is important to create internal valuation models yourself rather than blindly following along FinX posters + capitulating when stock prices temporarily drop. Happy to discuss more if you drop your own portfolio + concentrations.
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TSM盈利是AI核心指标，超大规模云厂商建设不受NVDA财报影响。
我的观点是，$TSM 的未来盈利（forward earnings）是迄今为止人工智能交易（AI trade）最大的指标，因为它涵盖了从 $GOOGL TPU 生产到 $AMZN，以及 $NVDA、$AMD 等所有超大规模云服务商（hyperscalers），且我们已看到其盈利和利润率大幅超出预期。 即使 $NVDA 的未来营收被大幅下调（我对此表示怀疑），也不会使 $MSFT 到 $IREN、$AMZN 到 $CIFR 等公司已签订的多年度算力（compute）积压订单失效。 我们已看到 Anthropic 与 $MSFT Azure 的算力协议（这将惠及 $NBIS、$IREN 和 $CRWV 等），$GOOGL 近日建设超 400 亿美元的数据中心（此前已与 $WULF、$CIFR/FluidStack 签署托管设施（colo）协议），$NVDA 的财报不会改变超大规模云服务商的建设步伐。 但它确实对整个 AI 交易产生重大影响，并直接影响 $NVDA GPU 板块（例如重度依赖 $NVDA 的 AI 云厂商）。
原推 ↗英文原文
My opinion is that $TSM forward earnings was the biggest indicator of the AI trade so far since they span from all hyperscalers such as $GOOGL TPU prod to $AMZN, as well as $NVDA, $AMD, and we've already seen them blow away earnings + margins. Even if $NVDA forward revenue is quoted heavily downward (which I doubt), it won't invalidate multi-year contracted compute backlog from $MSFT to companies like $IREN or $AMZN to $CIFR made already. We're already seeing Anthropic x $MSFT compute deals with Azure today (which flows down to $NBIS, $IREN and $CRWV others), $GOOGL build out a $40B+ datacenter the other day (they've made colo deals with $WULF, $CIFR / fluidstack previously), and $NVDA earnings won't the change the hyperscaler buildout. But it does have a large impact on the overall AI trade as well + directly affect $NVDA GPU parts of the sector (eg. $NVDA heavy AI clouds).
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宏观利好预期下，建议布局基本面稳健的高Beta成长股。
网上有很多只发标题党的帖子。 我通常尝试在标题之上连接线索，并补充“为什么”（因为它能推动市场）。 关于新宏观环境的TLDR（对$NBIS、$IREN等高Beta股看涨）： 1⃣ 结束政府停摆的协议正在成型 - Axios（政府停摆可能在~5天内结束） 评论：过去一两个小时内，事件合约赔率从27%跳升至54%。我们正在定价近期解决。 • 政府支出恢复后，流动性回流。 • 市场重新定价更高的GDP增长。 • 消费者支出立即回升。 • 不确定性消退（市场讨厌不确定性）。 结果 → 预期当风险偏好回归时，高Beta和周期性股票表现良好。 2️⃣ 向美国纳税人提议$2,000“关税红利” 评论：感觉像是COVID刺激的迷你版。那些存款引发了零售支出的最快跳跃，人们用那笔钱购买从比特币到英雄联盟皮肤的一切。但这至少来自关税。 • 对资产有利：更多资金流入经济。 • 可能导致通胀：需求压力增加，美联储后期可能反击。 • 短期：对风险资产和成长股极度积极。中长期：可能因通胀和美联储收紧而适得其反。 • 此类举措通常旨在短期内点燃市场，利好任何高成长标的。 结果 → 预期在正式重开前抢跑，并在确认后飙升。 你可以看到像$ETH这样的资产因上述两者的结合开始从$3300->$3500恢复，作为一个例子。 再次强调，我预期了像#2这样的情况，仅仅是因为明年中期选举临近。执政党如果市场表现良好通常会连任（所以我预期像#2 + 施压美联储降息，所以市场上涨）。 当然，这只是新消息+猜测，鉴于决策的波动性，不一定是事实lol。但总体上关注那些回调但基本面仍在增长的股票，例如$NBIS、$RDDT、$ALAB等。
原推 ↗英文原文
Lot of headline-only posters out there. I usually try to connect the dots on top of the headlines and fill in the why (it moves markets). TLDR on the new macro setup (bullish for high-beta names like $NBIS, $IREN, etc): 1⃣ DEAL TO END GOVERNMENT SHUTDOWN TAKES SHAPE - Axios (Government shutdown likely ending within ~5 days) Commentary: Event-contract odds jumped from 27% → 54% in the past hour or two. We're pricing in a near-term resolution. • Liquidity flows back once government spending resumes. • Market reprices GDP growth higher. • Consumer spending picks up immediately. • Uncertainty fades (markets hate uncertainty). Result → Expect high-beta and cyclicals to do well when risk appetite comes back. 2️⃣ $2,000 “tariff dividend” proposal to American taxpayers Commentary: Feels like a mini-version of the COVID stimulus. Those deposits triggered the fastest jumps in retail spending, people were buying everything from Bitcoin to League Skins with that. But at least this came from tariffs. • Great for assets: more money flowing into the economy. • Might lead to inflation: more demand pressure, potential Fed pushback later. • Short-term: Extremely positive for risk assets and growth names. Mid to long-term: Could backfire with inflation and the Fed tightens. • Usually moves like this aim to ignite markets in the near term, good for anything heavy growth. Result → Expect frontrunning before the official reopening and a spike once it’s confirmed. You can kinda see stuff like $ETH start its recovery from the combination of the two above $3300->$3500 as an example. Again I expected things like #2, just due to midterms coming up next year. The party in power usually gets re-elected if markets seem to be doing well (so I'd expect stuff like #2 + fed pressured rate cuts, so markets go up). Of course this is just new news + speculation, not facts for sure given how volatile decisions are made lol. But generally focus on stocks that corrected but still have growing fundamentals eg. $NBIS, $RDDT, $ALAB, etc.
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高贝塔股大幅回调，建议基本面完好者逢低布局。
全面的回调简直令人作呕。 高贝塔值成长股过去5天的表现： • $SMCI -26.11% • $RKLB -19.85% • $CRCL -19.81% • $NBIS -19.14% • $WYFI -18.55% • $ALAB -16.64% • $CRDO -16.8% • $HOOD -14.36% • $ASTS -14.09% • $IREN -13.22% • $AMD -11.63% • $CIFR -10.05% • $RDDT -9.00% 像 $RGTI (-27.33%)、$QBUT (-25.5%)、$QBTS (-25.43%)、$OKLO (-17.04%) 等没有收入的投机性股票，普遍出现了更大的回调。 当政府重新开放时，我预计许多投机性名称将继续下跌，而基本面完好无损的公司（例如 $CIFR、$NBIS、$TSM、$HOOD、$RDDT）将会恢复。 当前合约市场数据： 11月12日-15日：22% 11月15日：49%（下周某时约有一半几率） 11月30日：92% 在市场极度恐慌且下月第三次降息概率超过75%时，利用大幅回调布局高贝塔值股票（如果基本面完好）是绝佳时机。 像这样的大规模抛售也说明了为什么你不应该做剩余期限<30天的短期期权，即使你对 $SNAP 或 $CIFR 的财报判断正确。
原推 ↗英文原文
Pretty disgusting correction across the board. Last 5 days for high-beta growth stocks: • $SMCI -26.11% • $RKLB -19.85% • $CRCL -19.81% • $NBIS -19.14% • $WYFI -18.55% • $ALAB -16.64% • $CRDO -16.8% • $HOOD -14.36% • $ASTS -14.09% • $IREN -13.22% • $AMD -11.63% • $CIFR -10.05% • $RDDT -9.00% Speculative no revenue stocks like ( $RGTI -27.33%, $QBUT -25.5%, $QBTS -25.43%, $OKLO -17.04% etc), had larger corrections across the board. When the government reopens, I’d expect many of the speculative names to stay down, while companies where fundamentals are in tact (eg. $CIFR, $NBIS, $TSM, $HOOD, $RDDT) would recover. Current Contract Market data: Nov 12th-15th: 22% Nov 15th: 49% (~half chance sometime in the next week) Nov 30th: 92% Great time to position into higher-beta stocks during large corrections, (if fundamentals are in-tact), especially when we're in the extreme-fear part of markets and there's 75%+ of a third rate cut next month. Broad selloffs like these are also why you don't do short dated options <30dte, even if you are correct on earnings like $SNAP or $CIFR.
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看好AMD上行潜力及HOOD长期价值，短期略高估
两者都是优质的多头标的，$AMD 拥有极高的上行潜力（仅参考 $NVDA 的市值即可见），且 Sam Altman 和 Elon 确认 AMD 在前沿模型中具有极高效用，这是极其积极的信号。 $HOOD 是一家世代级的公司。高确信度的长期持有。短期来看，我认为它像 $RKLB 一样略微高估。
原推 ↗英文原文
Both good longs, $AMD has extremely high upside potential (just looking at $NVDA's marketcap) and Sam Altman/Elon confirming AMD has high utility for frontier models is extremely positive. $HOOD generational company. High conviction long term. Short-term I'd argue it's a tad overvalued like $RKLB.
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AMD市值潜力取决于AI模型应用，但鉴于对台积电依赖，仓位较小。
嗯，如果萨姆·阿尔特曼(Sam Altman)和埃隆·马斯克(Elon Musk)关于前沿模型能充分利用AMD的说法属实，$AMD 的市值潜力有望达到 $NVDA 目前的水平。不过，OpenAI 目前承诺每年为 $AMD 带来额外数百亿美元的前瞻性收入，这显得有些过于乐观，让我们拭目以待。这也正是我的 $AMD 仓位相对于 $TSM 较小的原因，以及我说过无需将 AMD 与 NVDA 或 $IREN 与 $NBIS 进行比较的原因，因为所有环节都依赖于 $TSM。
原推 ↗英文原文
Hmm, $AMD has potential to be $NVDA’s current market cap if what Sam Altman + Elon Musk says is true in how frontier models can use it well. Then again OpenAi is promising too many things right now in terms of an additional tens of billions of forward revenue a year to $AMD, so we’ll see. That’s kind of why my AMD position sizes were small relative to $TSM, and why I’ve said you don’t need to compare AMD to NVDA or $IREN to $NBIS when every single thing is reliant on $TSM
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感冒简评：META/NBIS错杀强买，警示IREN/ETH，宏观看多AI基建。
11月4日 - 个股分析 + 宏观 清仓抛售：$META • $NBIS • $IBIT 强烈买入：$RDDT • $RKLB • $WLAC • $CIFR • $LTC • $SOL • $CORZ 存储：南亚科 $2408，SK海力士 $HXSCL，美光 $MU 买入：$AMZN • $DELL • $SMCI • $ALAB • $CRDO • $TSM • $AMD • $FLNC • $TE 警示：$IREN • $ETH • $BMNR • $CRCL 量子计算：$IONQ • $RGTI • $QBTS 通常我会逐一列表，列出更多的买卖建议并解释每一个原因，但我感冒了。 所以今天只做极简版，懒得研究更多股票。喝着汤，只关注几只股票并给出更广泛的概述。（如果有人问，我会帮忙解释。） $META： 再次强烈、强烈、强烈建议在财报大跌15%+及盘后下跌时买入。 营收超预期。每股收益(EPS)超预期。远期盈利完好。 如果计入一次性税收，EPS为$7.25对$6.67，但显示为$1.05（大幅不及预期），导致算法立即抛售。随后的抛售中，机械性资金流通常会将价格推得更低，但趋势通常在1-2周内反转。 利用这一点。 像“Meta在AI上花费太多”这样的叙事可能是噪音。每家Mag7公司都在增加AI资本支出，除非你从云/ASIC角度争论，否则Meta并没有做任何异常的事。有时真正的原因更愚蠢，比如算法未能识别一次性税收的标准化。 当低贝塔值的Mag7因非实质性原因下跌16%+时，有很大的获利潜力。 警示类别摘要： 不是叫卖，只是给出公平警示，让人们自行决定。 量子计算：仍无收入证明价格飙升的合理性。某些数据中心股票，即使回调后，也有远期营收+自由现金流支撑估值。 $ETH：高于$3K不是强买入（自$4.8K以来立场相同）。 $BMNR：ETH国库策略；以溢价追踪ETH价格。除非有国有化潜力（如$MSTR），否则国库策略不好。 $CRCL：下个月有巨大、巨大、巨大的股份解禁。 $IREN：$MSFT合同在标题上看起来很棒（$9B+营收，超大规模云厂商交易），但实际上利润率很差。 交易不是纯托管；$IREN吸收了~$5.8B的GPU+辅助设备资本支出。 毛利率：最好只有30%出头，自由现金流盈利能力可能降至个位数。相比之下，$NBIS的交易结构更好（$11.6M/MW/yr vs $9.7M/MW/yr）。 交易验证了超大规模云厂商将与IREN签约（正面），但交易本身很糟糕。不是卖出，只是警示那些因标题而FOMO的人。 如果你想FOMO进什么，$CIFR（AWS合同）更有意义。 _ 宏观观点： 市场一直在抛售高贝塔值股票，可能只是正常回调。 逆风： 鲍威尔暗示第三次降息不确定 -> 重新定价。 政府停摆可能延长（短期逆风）。历史上，重新开放后回调会迅速反转。 事件市场定价11月14日为结束日期（还有9天）。 如果像$NBIS（-7.9%）这样拥有惊人远期营收支撑的名字没有实质性变化，大跌时是极好的买入机会。还有像$RDDT这样发布了好财报却跌了7%的股票，也是强烈的买入机会。 泡沫在美联储收紧时破裂。我们已经有了两次降息，还有一次很可能。不要跟随那个预测了过去1次崩溃中5000次的《富爸爸穷爸爸》家伙。 AI ≠ 泡沫 yet - 由Mag7财报、真实营收和利润支撑。但如果OpenAI继续在没有资金的情况下过度承诺合同，以后可能开始像泡沫（1-2年后的投影风险）。 摘要：随着降息后的宽松，市场可能趋势向上。 数据中心建设保持完整（Mag7财报显示巨大的AI资本支出）。 回调中保持强劲的板块：存储 • 能源 • 半导体 • 连接 • 新云 保持多头，在这些回调中建立仓位
原推 ↗英文原文
November 4th - Stock Analysis + Macro Fire Sale: $META • $NBIS • $IBIT Strong Buys: $RDDT • $RKLB • $WLAC • $CIFR • $LTC • $SOL • $CORZ Memory: Nanya $2408, SK Hynix $HXSCL, $MU Buy: $AMZN • $DELL • $SMCI • $ALAB • $CRDO • $TSM • $AMD • $FLNC • $TE Warnings: $IREN • $ETH • $BMNR • $CRCLQuantum: $IONQ • $RGTI • $QBTS Normally I'd go down the list, have more buy/sells, and talk about every single explanation but I caught a cold. So just doing an extremely light version today and didn’t feel like researching more stocks. Just focusing on a few with a broader overview while I drink some soup. (Will help explain if someone asks though.) $META: Once again, Strong, Strong, Strong Buy on the 15%+ earnings drop and post-ER drop. Beat on Revenue. Beat on EPS. Forward earnings intact. If you factor in one-time tax, EPS was $7.25 to $6.67, but it showed as $1.05 (huge miss), which led to algorithmic sell-offs immediately after. Following sell-offs, mechanical flows often push prices lower, but trends usually reverse in 1–2 weeks. Take advantage of this. Narratives like “Meta spending too much on AI” are likely noise. Every Mag7 company is increasing AI capex, Meta isn’t doing anything unusual unless you argue from a cloud/ASIC standpoint. Sometimes the real reason is dumber like algorithms not recognizing one-time tax normalization. Lot of profit potential when lower-beta Mag7 drops 16%+ on nothing material. Warnings Category TLDR: Not calling sells, just giving fair warnings so people can decide for themselves. Quantum: Still no revenue to justify price surges. Certain data center stocks, even after corrections, have forward revenue + FCF to back valuations. $ETH: Not a strong buy above $3K (same stance since $4.8K). $BMNR: ETH treasury play; tracks ETH price with a premium. Treasury plays aren’t good unless potential for nationalization (eg. $MSTR). $CRCL: Massive, massive, massive share unlock coming next month. $IREN: The $MSFT contract looks great in headlines ($9B+ revenue, Hyperscaler deal), but in reality, margins are poor. Deal isn’t pure colo; $IREN absorbs ~$5.8B capex in GPUs + ancillary equipment. Gross margins: low 30s at best, can drop to single-digit FCF profitability. By comparison, $NBIS had a structurally better deal ($11.6M/MW/yr vs $9.7M/MW/yr). The deal validated that hyperscalers will sign with IREN (positive), but the deal itself was terrible.Not a sell, just a warning for people FOMOing the headline. If you want to FOMO into something, $CIFR (AWS contract) makes more sense. _ Macro View: Markets have been selling off high-beta stocks, likely just a normal correction. Headwinds: Powell signaling a third rate cut isn’t certain -> repricing. Gov shutdown likely extends (short-term headwind). Historically, corrections reverse quickly after reopen. Event markets price Nov 14th as end date (9 days out). If there’s no material change for names like $NBIS (-7.9%), backed by insane forward revenue, great buy on the dip. Also stuff like $RDDT that posted great ER but dropped 7.% also strong buying opportunity. Bubbles pop under Fed tightening. We've had two rate cuts, and another still likely. Don’t follow the Rich Dad Poor Dad dude who predicted 5000 of the last 1 crashes. AI ≠ bubble yet - backed by Mag7 earnings, real revenue, and profits. But if OpenAI keeps over-promising contracts without funds, it could start resembling one later (projection risk 1–2 years out). TLDR: Markets likely trend higher as easing follows rate cuts. Data center buildout remains intact (Mag7 earnings show huge AI capex). Sectors that stay strong on corrections: Memory • Energy • Semi • Connectivity • Neoclouds Stay long and build positions on these dips
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推荐年末满仓MINT组合（META/IBIT/NBIS/TSM），利用错杀与高非对称回报。
只有四只股票： 🍬 MINT 拥有极其高、非对称的回报。 意味着低资本风险，高上行回报。 这仅适用于2025年11月和12月。 就是它... MINT 关于为何在2025年底满仓MINT的解释： M = $META I = $IBIT N = $NBIS T = $TSM 将这些神圣的成长型公司纳入你的投资组合，你可以让呼吸更清新，从而吸引Sydney Sweeney： Mag7。加密货币。AI数据中心。半导体。 $META - Meta ___________ 愚蠢的抛售。 营收超预期。每股收益超预期。强劲指引。 当你看到营收512.4亿美元（同比+26.25%），净利润27.1亿美元（同比-82.73%）时，纸面上看起来极其糟糕。 🟢 营收：512.4亿美元 vs. 预期494.1亿美元 剔除一次性税收影响 → 🟢 每股收益：7.25美元 vs. 预期6.67美元 包含一次性税收影响 → 🔴 每股收益：1.05美元 vs. 预期6.67美元 我猜测最初的抛售是由算法驱动的，随后由机械性资金流引起。许多高频交易(HFT)和新闻解析系统会对直接从数据源（彭博、路透等）拉取的头条每股收益数字做出反应。 如果报告的GAAP每股收益（1.05美元）与共识预期（6.67美元）并列显示，系统会将其标记为大幅不及预期。显然这是推测性的，但许多模型并未编程以归一化处理一次性税收费用（这是新的），也不会知道去查看实际超预期的调整后每股收益（7.25美元）。 现在新闻声称抛售是由于AI资本支出惊喜所致。如果接受这个说法，因“AI资本支出增加”而下跌15%+纯粹是叙事，毫无意义，因为$MSFT、$GOOGL、$AMZN、$TSLA以及每一个Mag7都在增加资本支出。 $META做同样的事却遭到抛售说不通，除非人们认为它只是进入一个没有投资回报的黑洞（市场不同意，因为AI基本上在推动$SPY）。 一旦周末有时间让人们消化实际发生的情况，恢复将是极强的买入机会。误读+愚蠢的叙事可能导致短期过度反应（1-2个交易日），通常会被逆转。 $IBIT - 比特币 ___________ 它是比特币。目前位于11万美元。 随着美国政府的支持，以及持续的货币通胀+资金流向新一代人，没有比BTC更好的通胀对冲工具了。 Polymarket仍然定价比特币在2个月内上涨40%至13万美元，即使它上涨几个百分点，你也可以在加密货币和底层资产上获得上行空间。 $NBIS - Nebius ___________ 核心业务估值：310-365亿美元 分部加总（现金、资产、投资组合）：~106亿美元（削减40% = ~63亿美元） 基准情景估值：~390亿美元 → 即使零增长也有高上行空间 核心业务有望在FY26-27实现~50亿美元年度经常性收入(ARR)，60-70%毛利率，30%息税折旧摊销前利润(EBITDA)目标。 通过再达成一个超大规模云厂商协议+SMB扩张，实现80-120亿美元ARR可能证明~1000亿美元估值合理。 无有毒债务，高GPU利用率，全栈架构 → 更高的经营杠杆。 你可以看我引用的要点比较，以便你对$NBIS vs $IREN做出自己的判断。 然而，我将始终维持$NBIS拥有包括$IREN到$CIFR在内的最高非对称回报，因为现有的超大规模云厂商协议、企业客户（Shopify, Accenture）、政府客户、1GW容量、来自全栈的高毛利率等。 这并不是说来自$WULF的Fluidstack + Google协议以及其他容量方面没有高上行空间。 Nebius的下行风险最低。而且它真的、真的有高上行空间。 $TSM ______________ 它是AI交易的中心。 他们已经指引利润率增加——这是天文数字般的。 营收：331亿美元 vs. 315亿美元预期。 每股收益：2.92美元 vs. 2.59美元预期。 指引：322-334亿美元 vs. 320亿美元预期。 他们超收了营收指引，利润率增加，他们印钱的速度真是天文数字。 财报前交易在305-310美元，现在回到300美元。 这是一家万亿+美元的公司，同比增长30%+且利润率提升——到底怎么回事。 我之前在$GOOGL 145美元和$HOOD 20美元时说过同样的话。他们印钱。 没必要辩论$ALAB vs $CRDO，$IREN vs $NBIS，$AMD vs $NVDA。 $TSM是整个AI建设周期的中心，所以这只是等待游戏。 _ 就是它$MINT。 享受歌曲的预告，有点炸。🎶
原推 ↗英文原文
There’s only Four stocks: 🍬 MINT That have ABSURDLY HIGH, asymmetrical return. Meaning Low Capital Risk. High Upside Return. This is only for Nov + Dec 2025. Here it is... MINT An explanation of why to full port MINT for end of year 2025: M = $META I = $IBIT N = $NBIS T = $TSM With these four holy growth companies in your portfolio, you can make your breath smell better so you can pull Sydney Sweeney: Mag7. Crypto. AI Data Center. Semiconductor. $META - Meta ___________ Stupid sell-off. Revenue Beat. EPS Beat. Strong guidance. It looks extremely bad on paper when you look at Revenue $51.24B (+26.25% Y/Y), Net income $2.71B (-82.73% Y/Y). 🟢 Revenue: $51.24B vs. est. $49.41B Without one-off tax → 🟢 EPS: $7.25 vs. est. $6.67 With one-off tax → 🔴 EPS: $1.05 vs. est. $6.67 My guess was the initial sell-off was algorithmically driven, then caused by mechanical flows. Many high-frequency trading (HFT) and news-parsing systems react to headline EPS numbers pulled directly from data feeds (Bloomberg, Reuters, etc.). If the reported GAAP EPS ($1.05) is printed alongside a consensus of $6.67, the system flags it as a massive miss. Obviously this is speculative, but many models aren't programmed to normalize for one-time tax charges (which is new) and won’t know to look at adjusted EPS ($7.25), which actually beat. Now news are claiming the sell-off was due to AI capex surprise. If we go with this, -15%+ on “AI capex spending increasing” is just pure narratives and means absolutely jack since $MSFT, $GOOGL, $AMZN, $TSLA, and every single Mag7 is increasing on capex. $META doing the same and selling off doesn’t make sense, unless people believe it’s just going into a black hole with no ROI (which markets disagree since AI is basically running $SPY). Extremely strong buy on recovery once there’s time over the weekend for people to digest what actually happened. Misreads + stupid narratives can cause short-term overreactions (1–2 sessions), often reversed. $IBIT - Bitcoin ___________ It’s Bitcoin.And sitting at $110k. Bitcoin is here to stay with US government support, and with all the ongoing currency inflation + flow of money going to newer generation, there’s no better hedge against inflation than BTC. Polymarket still prices Bitcoin 40% to $130k in 2 months’ time, even if it moves up a few percent you can have upside on CCs and upside on the underlying asset. $NBIS - Nebius ___________ Core business valuation: $31–36.5B Sum-of-parts (cash, assets, portfolio): ~$10.6B (slashed 40% = ~$6.3B) Base case valuation: ~$39B → high upside even with zero growth Core business on track for ~$5B ARR (FY26–27), 60–70% gross margins, and 30% EBITDA target. Hitting $8–12B ARR (via one more hyperscaler deal + SMB expansion) could justify ~$100B valuation. No toxic debt, high GPU utilization, full-stack architecture → higher operating leverage. You can look at the bullet point comparison that I quoted so you can make your own judgement on $NBIS vs $IREN for example. However, I’ll always maintain $NBIS has the highest asymmetrical return over anything including $IREN to $CIFR due to existing hyperscaler deals, enterprise clients (Shopify, Accenture), Government Clients, 1GW capacity, high gross margins from full-stack, and many others. That’s not saying there’s not high upside from $WULF from Fluidstack + Google deals, and others from capacity. The downside risk on Nebius is the lowest. And it has really, really high upside. $TSM ______________ It’s the CENTER. OF. THE. AI. TRADE. They’ve already guided INCREASING MARGINS - which is astronomical. Revenue: $33.1B vs. $31.5B est. Earnings per Share: $2.92 vs. $2.59 est. Guidance: $32.2B – $33.4B vs. $32.0B est. They’ve beat revenue guidance, increasing margins, and it’s just astronomical how much money they’re printing. It was trading at $305–310 pre-earnings, now back at $300. It’s a $1T+ company that grew 30%+ Y/Y with their margins — what the actual. I said this about the money printer $GOOGL back at $145 and $HOOD back at $20. They print money. There's no need to debate $ALAB vs $CRDO, $IREN vs $NBIS, $AMD vs $NVDA. $TSM the center of the whole AI buildout, so it’s just a waiting game. _ There is it $MINT. Enjoy a teaser of the song, kinda a banger. 🎶
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对比ASML、TSM和AMD，认为TSM在非对称回报上优势巨大。
@Docofgothm @pepemoonboy $ASML 追踪晶圆厂周期。$TSM 是对 AI 整体建设情况的衡量。在这种情况下，没有理由选择 ASML。就纯上涨空间而言，此时 $AMD 可能胜出，但在非对称回报（同等上涨空间下下行风险最低）方面，$TSM 以巨大优势胜出。
原推 ↗英文原文
@Docofgothm @pepemoonboy $ASML tracks fab cycles. $TSM is a measurement of AI buildout as a whole. No reason to go with ASML in that case. In terms of raw upside, maybe $AMD wins at this point, but asymmetrical returns (lowest downside for upside) $TSM wins by an enormous margin.
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TSM凭借AI基建垄断地位可随意提价，无视下游竞争。
$TSM 可以随时提价以获得更高利润率（他们预测增长 3%），而 $NVDA 无论如何都将被迫使用其服务。此外，盈利预测如预期般大幅超预期，整个 AI 建设都建立在 $TSM 之上，它并不关心 $AMD 与 $NVDA 谁胜谁负。纯粹的垄断。
原推 ↗英文原文
$TSM can raise their prices anytime for higher margins (which they projected 3% increase) and $NVDA will be forced to use them anyway. Also earning projections were a blowout as expected, whole AI buildout is on top of TSM, it doesn’t care about who wins like $AMD vs $NVDA. Pure monopoly.
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宏观视角下，利用年底季节性、降息预期及机构资金流向，激进配置新云与AI赢家股。
宏观分析： 关注领域：资金流向 · 代理指标 · 季节性 · 仓位配置 布局： _ 新云(Neocloud)：$NBIS · $IREN · $CIFR · $DGXX 连接性(Connectivity)：$ALAB · $CRDO · $CLS 机器人(Robotics)：$KRKNF · $ONDS · $RR 国家安全(National Security)：$RKLB · $MP · $KTOS · $CCCX 能源(Energy)：$FLNC · $EOSE · $TE · $SEI 半导体(Semi)：$TSM · $AMD · $NVDA · $MU _ 第一部分 - 机构资金流向 进入10-11月，对冲基金卖出表现不佳的股票以锁定税务亏损并重新平衡仓位。 这造成了由税务亏损收割(tax-loss harvesting)带来的机械性下行压力，即轮动年内亏损股并轮动至赢家股。一旦这种抛售结束且洗售(wash sale)窗口期过期，机构和量化基金通常在12月中下旬或1月初回购这些超跌股。 上述布局展示了所有年内上涨的股票，通常你希望在年底通过收割亏损股并加仓赢家股来激进配置。 像$SNAP、$ETOR、$DRFT等可能在基本面被低估的股票，很大程度上受机构仓位配置影响。除非你想等待2-3个月并在此期间积累筹码（这也是有效策略），否则顺势而为更好。 第二部分 - 代理指标(Proxies) 新云 - 我们看到了$META与$CRWV的交易，$WULF与$GOOGL及Fluidstack的合资企业，$MSFT对OpenAI的计算需求增加等，这对整个新云板块极其看涨。因此该板块可能继续跑赢大盘。 国家安全 - 我们看到特朗普持有$MP等关键材料公司的股份，并开始关注支持更多国家安全风险，如量子计算公司$RGTI、$IONQ等。这对$RKLB等其他国家安全建设板块总体利好。 半导体 - $TSM是半导体建设和需求的最佳代理指标，其远期营收预测令人难以置信。人们常犯的错误是看$ASML的晶圆厂周期，但这并非正确的代理指标。 我们可以用$CLS作为连接性的代理指标，或用$BE的财报作为能源的代理指标等。 但通常，你可以通过该领域的其他公司很好地判断哪个板块正在跑赢或可能表现良好。 第三部分 - 季节性 11月和12月是股市表现最强的月份。 这更多是心理层面的，因为情绪因素。但也部分出于机械性原因，因为基金在10月进行税务亏损收割重新部署现金后，“追逐业绩”以锁定年度收益。 第四部分 - 仓位配置 这完全取决于你自身的风险水平。例如，对于较小的$10万投资组合，你可以像这样激进配置： 25% $NBIS, 10% $IREN, 10% $ALAB, 10% $CRDO, 5% $KRKNF, 5% $FLNC, 5% $TSM看涨期权, 20% 杂项或低贝塔(如$HOOD), 10% 现金。 如果你想做“赌徒”(degen)，现在可能是最好的时机。我之前举过一个ETF的例子说明如何配置，但我通常不建议将整个投资组合集中在单只股票上。 还有其他未提及的板块如金融科技/电商($HOOD, $SOFI, $DLO, $SEA)等，你可以自行替换。 第五部分 - 宏观 人们担心AI泡沫，但泡沫通常在美联储收紧时破裂，我们最近已在许多泡沫股中看到修正。但现在我们将迎来另外两次降息和政府重新开放（这是一个奇怪的催化剂，但确实存在）。 根据Polymarket，有86%的概率再降息两次，这很疯狂。随着三次降息，成长股和小盘股往往因廉价资金和债务缓解激发风险偏好而飙升。大量流动性最终将流入成长股和小盘股。 _ 这只是总体趋势，你可以选择自己的股票篮子，或任何你认为不错的。我个人对新云、AI建设最看涨，并更倾向于非对称(asymmetrical)选择，但各凭喜好（例如人们在能源/机器人或金融科技上有大量仓位）。 另需注意，即使某只股票如$RGTI上涨500%，也要确保其上涨有基本面支撑（如新云、远期营收）。 但总体而言，如果你只能记住一点，那就是在两次降息、年底季节性和向赢家股集中配置时激进出击，这是前所未有的最佳时机。
原推 ↗英文原文
Macro Analysis: Focus Areas: Flows · Proxies · Seasonality · Positioning Setup : _ Neocloud: $NBIS · $IREN · $CIFR · $DGXX Connectivity: $ALAB · $CRDO · $CLS Robotics: $KRKNF · $ONDS · $RR National Security: $RKLB · $MP · $KTOS · $CCCX Energy: $FLNC · $EOSE · $TE · $SEI Semi: $TSM · $AMD · $NVDA · $MU _ Part 1 - Institutional Flows Into October–November, hedge funds sell underperformers to lock in tax losses and rebalance positions. This creates mechanical downside pressure from tax-loss harvesting by rotating losers YTD and rotating into winners. Once this selling ends and wash sale windows expire, institutions and quants often buy back these oversold names in uually mid tolate Dec or early January. The setup above shows every stock that up YTD, usually you want to position aggressively into these EOY by tax-harvesting losers and scaling into positions that win. Stocks like $SNAP, $ETOR, $DRFT, and others that might be undervalued fundamentally is largely affected by institutional positioning. It's better to go with the flow rather than fight against it unless you want to wait out 2-3 months and accumulate during this time (which is a valid strategy as well). Part 2 - Proxies Neocloud - We've seen $META x $CRWV deal, $WULF x $GOOGL x Fluidstack JV, $MSFT having more compute demand from OpenAI, and others, which is extremely bullish for the whole Neocloud sector. So sector will likely continue to outperform. National Security - We've seen Trump take stakes into critical material companies like $MP and start looking into backing more national security risks such as quantum names like $RGTI, $IONQ, and others. This is generally positive for other names like $RKLB or other national security buildout across the board. Semi - $TSM is the best proxy for semiconductor buildout and demand and their forward revenue projections are absolutely insane. People make the mistake of looking at Fab cycles from $ASML but it's not the right proxy. We can go on with $CLS as a proxy for connectivity or $BE earnings for energy, etc. But generally, you can get a good idea on what sector is outperforming or is likely to do well based on other companies in the area. Part 3- Seasonality November and December are the strongest months for equities. This one is more psychological because of sentiment. But also partly mechanical because funds “chase performance” to lock in annual gains after they redeploy cash from tax loss harvesting in October. Part 4 - Positioning This is purely based on your own risk level. For example, with a smaller $100k portfolio you can be fine positioning aggressively like: 25% $NBIS, 10% $IREN, 10% $ALAB, 10% $CRDO 5% KRKNF, 5% FLNC, 5% TSM calls, 20% misc or low beta (eg. $HOOD), 10% cash. If you want to be a degen, now is probably the best time to do so though. I gave an example ETF earlier on how you can position but I typically don't recommend concentrating your whole portfolio into single stocks. There are other segments I didn't mention like Fintech/Commerce ( $HOOD, $SOFI, $DLO, $SEA) and so on but you can plug and play. Part 5 - Macro People worry about AI bubbles, but bubbles pop when Federal Reserve tightens, and we recently got a correction in a lot of bubbly names. But now we're going into 2 more rate cuts and government re-opening (which is such a weird catalyst but it is one). We have a 86% chance of 2 more rate cuts which is insane (as per Polymarket). And, with a triple rate cut, growth and small caps tend to surge as cheaper money and debt easing spark risk appetite. Floods of liquidity will eventually flow into growth stocks and small caps. _ This is just the general trend, you can pick your own basket of stocks, or whatever you feel is great. I'm personally the most bullish on Neoclouds, AI buildout and positioned more heavily toward asymmetrical picks but to each their own (eg. people have large positioning in energy/robotics, or fintech) Also something to note is that even if something goes up 500% like $RGTI, make sure the rise backed by fundamentals (eg. Neoclouds, forward revenue) But generally if you had to take one piece away, being aggressive into two more rate cuts, end of year seasonality, and consolidating into winners is the best time ever for it.
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博主发布降息周交易清单，强烈看好TSM及Neocloud板块，建议做多。
10月20日，重要的降息交易周。 个人想法和解释： 🛝 = 波段交易(Swing Trade) 🐈 = 催化剂交易(Catalyst Trade) 🎇 = 2026年交易，已进行税务收割(Tax Harvested) 清仓卖出(Fire Sale) 🔥 $NBIS 强烈买入(Strong Buy) $TSM $AMKR $WLAC $AMZN $LTC 🐈 $RDDT $HIMS 🛝 $IBIT $ALAB $CRDO $SMCI $FLY 🎇 $SNAP 🎇 $ETOR 🎇 $LULU 🎇 买入(Buy) $AMD $HOOD $RBRK $UNH $TGT 🐈 $IREN 🐈 $WYFI $WULF $CIFR $SLNH $BITF $GLXY $FLNC $MU （跳过“持有”，因为我过去提到的其他股票，既然没有变化，大概就继续持有）。 卖出(Sell) $ETH $BMNR $PL $BLSKY $RGTI $OKLO $IONQ $QBTS _ 宏观方面，距离降息（约97%概率）还有9天。市场处于恐惧模式。这是建立多头头寸且不减仓的理想时机。 清仓卖出 _ $NBIS - 无需多言，我仍维持2026年牛市情景下$400的目标价，基于40-60亿美元+的前瞻性收入及约60-75%的毛利率，以及另一份可能的超大规模云厂商合同（如 $META）。 周五下跌10%+是机械式对冲和做市商(MM)钉住价格所致。尽管波动剧烈，价格仍卡在$113.5。预计周一空头对冲将平仓（鉴于做市商买入看跌期权并做空看涨期权 -> 临近到期时大量做空），价格将回升。我在下跌时买入六位数的看涨期权，因为基本面没有实质性变化。 强烈买入 TSM - 天哪，请务必将其纳入投资组合。这是一台印钞机，每年营收增长38-40%的同时毛利率还在提升，简直不可思议。财报大超预期后股价回调，这是我生命中最容易的多头机会之一。 AMKR - 我尚未持有，但计划因TSM在亚利桑那州的参与以及其作为美国供应链大伙伴的潜力而加仓（随着美国推动TSM向美国晶圆厂+制造转移）。 WLAC - Neocloud SPAC IPO，上行空间巨大。我最近常提到这个，它可能是估值最好的Neocloud之一，且已有不错的利润率（并非来自矿工转型，后者不确定性稍大）。他们与Fluidstack合作，我预计若获得Mag7合同，估值将重估500%+。 AMZN - $213太离谱了哈哈。我不明白在牛市中它为何年初至今下跌-3%。 LTC - 受加密货币清算和政府停摆延迟ETF影响。现在是买入并等待ETF获批的好时机。 RDDT - 跌至$190是很好的回调。我以为$200是底部，结果跌得更低。关于ChatGPT较少引用它的新闻引发了大幅抛售，我认为这影响甚微。 HIMS - CEO减持导致下跌14%+。所有者经常卖股，对公司基本面影响不大，仅影响短期情绪。预计会反弹。 IBIT - 比特币$108k是很好的入场点，它已在$110k-$120k之间震荡一段时间，低于此价位通常很好。 ALAB - 上次我说过，因新竞争对手新闻而抛售过度。它已在市场上与AVGO竞争哈哈，拥有类似NVDA的利润率，同比增长数百%，Mag7在数据中心建设中正在使用它。 CRDO - 逻辑与ALAB类似，随Astera抛售但幅度稍小。 SMCI - 应因明年55%+的营收增长而重估。我早先怀疑这些预测，但随着数据中心增长，看起来变得现实了。 FLY - 这是中程有效载荷的博弈。人们怀疑Fly的执行能力，但NOC联合开发中程载荷消除了很多风险（并在与Falcon9竞争时可能重估500%+）。 SNAP - 我在早期的深度研究(DD)帖子中计算过Snap记忆功能的变现能力，目前完全未定价。它季度营收$13亿+，市值仅$130亿哈哈，通过增加营收+降低Google OPEX成本获得的自由现金流(FCF)非常惊人。 ETOR - 大部分为现金，以IBKR的速度增长，受税务收割影响。 LULU - 受税务收割+Alo、Vuori等竞争影响。但季节性应该不错，且现在市盈率极低。 买入 AMD - ChatGPT下AMD订单，ORCL建设AMD数据中心。随着成为$NVDA潜在竞争对手，预计明年将重估。仍认为Nvidia将主导，但鉴于其4.5T市值，即使AMD只占一小部分份额，也有很大追赶空间。 HOOD - 10%+回调后看起来好多了。可能复刻PLTR的走势。 RBRK - 之前做过深度研究，作为网络安全公司，在下跌中看起来更好，该领域倍数极低。只需削减营销，客户粘性高。 UNH - 美国医疗很烂但不会消失。认为Warren等人知道这一点。 TGT 🐈 - 下月分红，大股息股票。我认为现在是大量建仓的好时机。 IREN 🐈 - 巨大的GW，预计获得Mag7或类似交易。 WYFI - 任何Neocloud都是买入（例如见关于Mag7将收入导向这些小型10亿-50亿公司的论点）。 WULF - Neocloud博弈 CIFR - Neocloud博弈 SLNH - Neocloud博弈 BITF - Neocloud博弈 GLXY - Neocloud衍生品博弈 FLNC - Neocloud能源博弈 MU - 中国风险解除，内存在那里有巨大市场，内存也可能在数据中心建设中重估。 _ 卖出 ETH - 不喜欢$4k+的以太坊 BMNR - 如果我不喜欢这些水平的以太坊，持有国库公司也没意义 PL - 低营收，太空股（极高估值） BLSKY - 低营收，太空股（极高估值） RGTI - 量子泡沫 OKLO - 核能泡沫 IONQ - 量子泡沫 QBTS - 量子泡沫 _ 快速宏观提示： -> 9天后降息，概率~97%。预期抢跑，做多。就这些。
原推 ↗英文原文
October 20th, Important Rate Cut Trading Week. Personal thoughts and explanations: 🛝 = Swing Trade 🐈 = Catalyst Trade 🎇 = 2026 Trade, Tax Harvested Fire Sale 🔥 $NBIS Strong Buy $TSM $AMKR $WLAC $AMZN $LTC 🐈 $RDDT $HIMS 🛝 $IBIT $ALAB $CRDO $SMCI $FLY 🎇 $SNAP 🎇 $ETOR 🎇 $LULU 🎇 Buy $AMD $HOOD $RBRK $UNH $TGT 🐈 $IREN 🐈 $WYFI $WULF $CIFR $SLNH $BITF $GLXY $FLNC $MU (Skipping Hold, since any other stock I've mentioned in the past, it probably just hold it since nothing's changed). Sell $ETH $BMNR $PL $BLSKY $RGTI $OKLO $IONQ $QBTS _ So macro wise, we are 9 days away from (~97% or so rate cut). Market is in fear mode. This is the ideal time to go long and not cut positions. Fire Sale _ $NBIS - Needs no explanation, I still maintain $400 PT on a bull case 2026 due to 4-6B+ forward revenue off ~60-75% gross margins, and another likely hyperscaler contract (eg. $META) What happened on the 10%+ drop on Friday was mechanical hedging and MM Pinning. You can see this with the price stuck at $113.5, despite any volatility. I'd expect short hedges to unwind Monday (given MMs bought puts and were short calls -> heavy short into expiration) and price to go back up. I ended up buying 6 figures worth of calls on the drop as there was no material changes. Strong Buy TSM - Holy crap, please have this in your portfolio. This is a money printer, and scaling your revenue by 38-40% every year WHILE increasing gross margins is just insane. It dipped as well after smashing earnings so it's one of the easiest longs in my life. AMKR - I don't have this in my portfolio yet but will be looking to add due to TSM's involvement in Arizona and potential to be a big partner in the US supply chain (as America tries to push TSM toward US fab + manufacturing). WLAC - Neocloud SPAC IPO, large upside. I talk about this a lot recently, but it's probably one of the best valued Neoclouds out there, and already has great profit margins (not a pivot from miners, where it's a bit more uncertain). They work with Fluidstack, and I'd expect a 500%+ re-rating on top of a Mag7 contract. AMZN - $213 is insane lol. I have no clue how this is down -3% YTD during a bull market. LTC - Affected by crypto liquidations and government shutdown delaying ETFs. Great time to buy and just wait for ETF to be approved. RDDT - Great dip to $190. I thought $200 would be a bottom but ended up going lower. The news about ChatGPT citing it less caused a large sell-off which I think was very immaterial. HIMS - 14%+ drop off CEO share sale. Owners sell shares all the time, it doesn't really affect the fundamentals of the company much, just short term sentiment. I'd expect it to rebound. IBIT - Bitcoin $108k great entry point, it's been swinging between $110k - $120k for awhile so anything under is usually great. ALAB - I said this last time but it sold off way too much from news of a new competitor. It's already competing vs AVGO in the market lol, NVDA-like margins, growing hundreds of percent Y/Y, Mag7 using them in data center buildout. CRDO - Similar thesis to ALAB, sold off alongside Astera but a bit less. SMCI - Should get re-rated for 55%+ or so revenue growth into next year. I doubted the projections earlier but with the data center growth, it's looking realistic. FLY - This was a medium lift payload play. People doubt fly's execution but NOC co-developing medium lift takes a lot of risk off the table (and possible re-rating it 500%+ when it competes vs falcon9) SNAP - Did the math on Snap monetization of memories in an earlier DD post and it's completely not priced in yet. It's doing $1.3B+ quarterly revenue on a $13B market cap lol, and the amount FCF they would get from increasing their revenue + lowering Google OPEX costs is insane. ETOR - Majority cash, growing at IBKR rates, suffering from tax harvesting LULU - Suffering from tax harvesting + competition from Alo, Vuori, etc. But seasonally should be good, and extremely low p/e now. Buy AMD - ChatGPT putting in AMD orders, ORCL building out AMD data centers. Likely going to get a re-rating in the next year as a potential $NVDA competitor. Still think Nvidia will dominate but with it's 4.5T marketcap, AMD has a lot to catch up on even if it takes a small percent share. HOOD - Looking at a lot better after the 10%+ correction. Could pull a PLTR RBRK - Did DD on this earlier, looks better on the drop as a cybersecurity company really low multiples in the space. Just needs to cut back on marketing, customers sticky. UNH - Healthcare is sht in America but not going anywhere. Think Warren and the others know this TGT 🐈 - Dividend next moth, big dividend stock. Around now is a good time to load up IMO IREN 🐈 - Huge GW, expect mag7 or similar deal. WYFI - Any neocloud is a buy (eg. see thesis on mag7 funneling revenue down toward these small 1B-5B companies) WULF - neocloud play CIFR - neocloud play SLNH - neocloud play BITF - neocloud play GLXY - neocloud derivative play FLNC - neocloud energy play MU - China derisked, memory had a huge market there, memory also likely going to get re-rating in tdata center buildout _ Sell ETH - Not a fan of Ethereum at $4k+ BMNR - If I don't like Ethereum at these levels, no point of holding treasury companies PL - Low revenue, space stock (extremely high valuation) BLSKY -Low revenue, space stock (extremely high valuation) RGTI - Quantum bubble OKLO - Nuclear bubble IONQ -Quantum bubble QBTS - Quantum bubble _ Quick macro heads up: -> Rate cut in 9 days ~97% odds. Frontrunning expected, go long. That's all.
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博主基于宏观利好更新美股AI/半导体/能源等板块的强烈买入、买入及持有名单。
大豆/植物油崩盘，个人思考与解释： 强烈买入 $ALAB $CRDO $NBIS $WLAC $LTC $TSM $BTC （+ 同上次税务收割股） $AMZN $SMCI _ 买入 $AMD $FLNC $SEI $BZAI $NKLR $IREN $WULF $CIFR $CRWV $BITF $WYFI $SLNH $BITF $RBRK $GLXY $GRAB $SEA $META $TGT $SNAP $MU $RKLB $FLY $UNH 持有 $MP $HOOD $EOSE $NVDA $GOOGL $DFLI $SOFI $VIRT $RR $AVGO $BE $ASTS （已达推文股票代码上限，其余同上次帖子，Quantum或Oklo仍建议卖出） _ 强烈买入 ALAB - 数据中心建设的重要组成部分，拥有类似英伟达(NVDA)的利润率，客户包括Mag7。已有来自博通(AVGO)的竞争者，真的不认为Arista会构成竞争威胁。 CRDO - 与ALAB同样的抛售，之前觉得两者都略有高估，但现在回到修正区间，适合补仓。 NBIS - $400目标价牛市情景。宏观顺风来自政府重新开放+10月底降息预期进入财报季，短期前景看好。利好众多（如Meta x CRWV，因此有更多Mag7客户的潜力），分部表现良好，例如Clickhouse，季度收入从$1亿扩展到$15亿+非常惊人。合同已锁定，只是公司执行的问题。 WLAC - 之前在$13时写过投资逻辑。即使在$14.5也很强，因为它可以轻松重估100%+。 LTC - 受杠杆交易者和政府停摆影响。预计停摆将持续一段时间，主要买入理由是ETF获批。但无论如何，低于$100都是很好的买入点，因为最终会获批（~95%概率）。 TSM - 天哪。如果是美国公司这将是$3万亿市值的公司，利润率惊人，对于其规模而言增长率惊人。每篇关于OpenAI X (**Sydney Sweeney合作)或AMD建设/NVDA建设的帖子中，TSM都是核心，即使以历史高点买入，也轻松成为$2万亿+公司（目前约$1.5万亿）。 BTC - $112K是好的入场点。黄金不断创历史新高，基本面没什么变化，只是最近大量清算。 （+ 同上次税务收割股） AMZN - 我真不知道为什么年初至今还在跌。我觉得亚马逊不需要太多解释，但仍在增长（例如AWS积压订单巨大，仍增长24%，当然不如ORCL、GCP等），但考虑到年底季节性和2月前的上涨，现在可能是抄底的最佳时机。AMZN今天触及$213-215是补仓的好机会，因为短期波段交易通常浮动在$218-$227，但长期我预计它会追赶其他Mag7。 SMCI - 被低估。市场关注短期表现，Charles引用的55%+同比前瞻收入增长无人相信+未实现的积压订单。但现在随着所有数据中心建设，这开始说得通了。因此应在接下来两次财报中重估。 _ 买入 AMD - OpenAI x AMD，Oracle使用AMD建设，这么多交易，如果它确实是$NVDA的强劲竞争对手，将重估为潜在$1万亿+公司。我不认为赢家通吃，可以看到$NVDA $4.5万亿+市值和$AMD $3500亿市值，所以我们可以看到大幅拉升（OpenAI通常是前沿模型领导者，如果Sam说他们可以使用AMD芯片+Elon说它对中小模型有益，可能意味着积极信号） FLNC - AI消耗后能源强劲重估，很好的买入。 SEI - AI消耗后能源强劲重估，很好的买入。 BZAI - 别人做过这家公司的深度研究，仅因板块和向边缘计算转移（例如机器人将很热）。由于低市值和类似公司的上涨可能表现良好。 NKLR - 像$OKLO这样的核能股已经起飞，这只是跟随梯队。 IREN - 无需介绍，巨大的GW算力，只是还没有宣布Mag7交易，但随时可能到来 -> 强劲重估。不是强烈买入的唯一原因是因为不完全确信矿工能像CRWV那样转型并保持高利润率（例如$ORCL打击文章），但我们会看到。 WULF - GOOGL积压订单，另外$3.6+亿左右的资金帮助很大。 CIFR - X上有很多关于未来产能和强劲重估的信息。一直喜欢这家公司，因为它是NBIS-lite。你可以买任何Neocloud，因为板块潜力巨大，Mag7将收入注入。 CRWV - 因为债务不像其他人那样喜欢，但由于植物油修正，$134（低于META交易宣布时）是更好的买入点 BITF - Neocloud类别相同 WYFI - Neocloud类别相同 BITF - Neocloud类别相同 GLXY - Neocloud类别相同，有助于其建设 RBRK - 做过深度研究，中期网络安全板块很好的买入，他们只需缩减营销，然后看起来有更多自由现金流，因为他们将大部分运营支出花在营销上。 GRAB - 基本面很好，-6.56%修正再次买入 SEA - 东南亚的AMZN，很多人使用。仅因客户群+变现潜力就买入。基本面$50亿+收入38% Y/Y增长也很好。 META - 我真的很不喜欢他们在AI上的昂贵资本支出，因为他们并没有像ChatGPT那样推出前沿模型，谁知道Zuck在做什么。但除此之外，一个月下跌7.3%，回到$700支撑位，可能在这里买入以追赶是个好主意。 TGT - 下个月股息是好的催化剂。 SNAP - Jenners回来了（有助于人气），他们将前记忆运营支出转为收入，这可能会导致明年巨大的重估。只是受税务收割影响，否则现在会是强烈买入。通常税务收割事件在12月完成。 MU - 现在中国恐惧稍微减弱，MU因为建设中的内存使用而成为更强的买入。 RKLB - 中子，金色穹顶合同，很多催化剂 FLY - 中等提升 UNH - 不受大豆影响的医疗保健股，但有修正。机构发布持仓后可能会上涨（例如Warren可能买了更多） 随机想法 基本上任何不是Oklo的成长/风险股都很好，因为我们有 -> 10月底降息 -> 政府重新开放（可能在10月底或11月初） 进入 -> 12月降息。 -> 中期选举（对股票看涨） 通常市场崩盘发生在紧缩而非宽松时。你的愚蠢量子泡沫可能会再持续3-12个月。如果你做空，可能等到明年2月。 无论如何，这是风险偏好的好时机，特别是搭乘Neoclouds -> 相关板块（例如能源）-> 相关公司（例如smci, tsm等）的趋势。 我半开玩笑地说大豆，因为它可能签署了升级紧张局势，但我可能会看到明年前的上涨。另外我可以写很多关于每一个的内容，但这很耗时，但我会不时发布关于随机股票如$RBRK的投资逻辑帖子。 太空/机器人/能源/量子/AI/半导体/关键垂直领域是目前最顶级的，不要对抗动量。我可以认为某些东西被高估了（例如一些关键材料，因为与Neoclouds相比仍然具有投机性，后者基于Mag7的执行有保证的收入），但我不会在降息时做空它。 只是个人想法，非财务建议
原推 ↗英文原文
The Great Soybean/Seed Oil Crash, personal thoughts and explanations: Strong Buy $ALAB $CRDO $NBIS $WLAC $LTC $TSM $BTC (+ same as tax harvest stocks last time) $AMZN $SMCI _ Buy $AMD $FLNC $SEI $BZAI $NKLR $IREN $WULF $CIFR $CRWV $BITF $WYFI $SLNH $BITF $RBRK $GLXY $GRAB $SEA $META $TGT $SNAP $MU $RKLB $FLY $UNH Hold $MP $HOOD $EOSE $NVDA $GOOGL $DFLI $SOFI $VIRT $RR $AVGO $BE $ASTS (Hit the ticker maximum but everything else from last post, still sell on Quantum or Oklo) _ Strong Buys ALAB - Huge part of datacenter buildout, NVDA like margins, Mag7 customers. Already had competitors from AVGO, really don't think Arista would be a competitive threat. CRDO - Same sell-off as ALAB, thought they were both kind of overvalued before, but now they're back in correction territory so good to stock up. NBIS - $400 PT bull case. We have macro tailwind from government re-opening + rate cut EOM october into earnings, so short term looks promising. Lot of things going for it (eg. meta x crwv, so there's potential for more mag7 clients), sum of parts doing well, eg. clickhouse, and scaling rev from $100m to $1.5B+ a quarter is insane. there's already contracts locked in its just a matter of company execution. WLAC - Wrote a thesis about this earlier at $13. Even at $14.5 strong because it can re-rate 100%+ easily. LTC - Affected by leverage traders and government shutdown. The shutdown is predicted to last awhile and the main reason to buy was the ETF getting approved. But a great buy sub <$100 anyway, because it will get approved in due time (~95% chance). TSM - Holy crap. This would be a $3T company if this were a US company, insane profit margins, insane growth rate for their size. And every post you see about OpenAi X (**sydney sweeney partnership) or AMD buildout/NVDA buildout. TSM is the center of it all and would easily be a $2T+ company (from here at ~$1.5T), even if buying at ATHs. BTC - $112K good entry point. Goldt keeps hitting ATH, nothing really changed fundamentally, just lot of liquidations recently (+ same as tax harvest stocks last time) AMZN - I really don't know how it's still down YTD. I don't think Amazon needs much explaining but still growing (eg. AWS backlog massive, still going like 24% but not as much as ORCL, GCP and others obviously), but with EOY seasonality and runup to Feb, now is probably the best chance to catch the bottom. AMZN hitting $213-215 today was a good chance to stock up since it usually floats between $218-$227 if you're short term swing trading but long term I'd expect it to catchup to other mag7. SMCI - Underrated. Markets were looking short term performance, and Charles was quoting like 55%+ Y/Y forward revenue growth which nobody believed + backlog that didnt get realized yet. But now with all the data center buildouts, now it's kinda making sense. So should re-rate in the next two earnings. _ Buy AMD - So many deals from OpenAI x AMD, oracle building out with AMD, this is going to re-rate to a potential $1T+ company if it's actually a strong competitive to $NVDA. I don't think it's winner takes all and you can see a $4.5T+ market cap size with NVDA and some $350B marketcap size with AMD, so we can see a large ramp up (OpenAI is usually the leader in frontier models and if Sam says they can use AMD chips + elon said its' good for small-medium weight models, prboably means something positive) FLNC - Strong re-rate on energy after AI consumption, great buy. SEI - Strong re-rate on energy after AI consumption, great buy. BZAI - Someone else did a DD on this company, just cause of sector and shift to edge compute (eg. Robotics goign to be hot). Because of low MC and runup of similar companies could turn out well. NKLR - Nuclear stocks like $OKLO have been taking off, this is just follow the lader. IREN - Needs no introduction, huge GW compute capacity just no announced mag7 deals yet but could come anytime -> strong re-rate. Only reason not a strong buy is because not fully convinced miners can pivot like CRWV and maintain great margins (eg. $ORCL hit piece) but we'll see. WULF - GOOGL backlog, another $3.6+ or so in funding helps a lot. CIFR - Lot of info on X about future capacity and strong re-rating. Always liked this company because it was NBIS-lite. You can probably buy any Neocloud and it will go up because the sector is incredibly high potential with Mag7 funneling revenue. CRWV - Didn't like this as much as others because of debt but because of the seed oil correction much better buy point at $134 (below when META deal was announced) BITF - Same in Neocloud category WYFI - Same in Neocloud category BITF - Same in Neocloud category GLXY - Same in Neocloud category, helps with their buildout RBRK - Did a DD on this, great buy for cybersecurity sector in mid term, they just need to scale back marketing and then it looks like they have a lot more FCF because they're spending most OPEX on marketing. GRAB - Great fundamentally, -6.56% correction good to buy again SEA - AMZN in SEA, tons of people use them. Just a buy just because of costumer base + monetization potenetial. Fundamentally growing $5B+ rev 38% Y/Y is also great. META - I really don't like all their expensive capex on AI since they're not really putting out fronteir models like ChatGPT with it, who knows what Zuck is doing. But that aside, down 7.3% over the month, going to $700 support, probably a good buy around here to play catchup. TGT - Dividend next month good catalyst. SNAP - The Jenners are coming back (helps with popularity), they're shifting former memory opex to revenue, and this will probably cause a HUGE rerating next year. Just suffers from tax harvesting otherwise would be a strong buy rn. Usually tax harvesting events are kinda done in December. MU - Now that China fears are kinda less intense, MU is a lot stronger buy just cause of memory use on buildout. RKLB - Neutron, golden dome contracts, lot of cataylsts FLY - Medium lift UNH - Healthcare stock not affected by soybeans but had a correction. Would likely go up one instituions post their ports (eg. warren likely bought more) Random thoughts Basically any growth/risk stock that's not named Oklo is great because we have -> Rate Cut end of month October -> Government re-opening sometime (likely around end of Oct or early Nov) Into -> Rate Cut December. -> Midterms (Bullish for stocks) Usually market crashes happen when there's tightening not easing. And your stupid quantum bubbles would likely continue for another 3-12 months afterward. If you're short, then probably wait till next Feb. Anyway, this is a great time for risk-on, and specially riding trends with neoclouds -> affiliated sectors (eg. energy) -> affiliated companies (eg. smci, tsm, etc). I half joke-about soybeans because it likely signed escalating tensions, but I'd probably see a run-up into next year. Also I could write up a lot about each one but it's pretty time consuming but I'll put on a thesis post about random ones eg. $RBRK, from time to time. Space/robotics/energy/quantum/ai/semi/critical top verticals right now, don't fight against momentum. I can think something is overvalued (eg. some critical materials bc. it's still spectulative compared to neoclouds that kinda have guaranteed rev based on execution from mag7) but I wouldn't short it into rate cuts. Just personal thoughts, NFA
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上调NBIS目标价至450美元，重申其他新云标的跑赢大盘评级。
随着泰勒·斯威夫特进入新云(NeoCloud)领域，即便GPT-5拥有10GW算力也找不到她持久的男友。 我将$NBIS的1年目标价上调至$450，并重申对其他标的的跑赢大盘(outperform)评级，原因是能源消耗无限。
原推 ↗英文原文
With Taylor Swift entering the Neocloud space, not even 10GW compute on GPT-5 can find her a lasting boyfriend. Raising my 1Y price target on $NBIS to $450 and reiterating outperform on the rest due to infinite energy consumption. $WLAC $CIFR $FLNC $IREN $TSM $AMD $BITF $WYFI $GLXY
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博主首次公开高确信度持仓列表，详解6只核心多头及1只百倍潜力股的建仓逻辑。
这是我首次发布我的高确信度持仓列表。 这是我的6只最高确信度多头持仓，以及1只新的1000%潜力“登月”标的🚀 按首次买入时间及我建立确信度的时机/原因排序。 5年持仓： $RKLB ($16 | $28) $TSM ($120 | $245) $HOOD ($11.27 | $18) $BTC ($3k | $57k) 2年持仓： $NBIS ($28 | $99) $ALAB ($55 | $95) 1000%登月标的（确信度不如其他，但我认为它最有希望实现10倍增长） $WLAC ($13 | $13) 以下是观点变化的原因： 1. $RKLB -> 自特朗普宣布成立太空军以来，我就知道太空行业正在快速增长。当时我想投资SpaceX，但没有替代选择。 所以当$RKLB在Reddit上开始流行时，我买了它。他们在小型运载火箭方面有很高的成功率，但除此之外没什么特别的。 几个月后股价达到$28左右时，他们开始开发中型有效载荷，SpaceX以3500亿美元估值完成了一轮大额融资，我开始看到RocketLab在5年或10年（当时正在开发Neutron）内市值增长的潜力，并由此建立了确信度。 2. $TSM -> 我一直知道台积电(TSMC)对半导体至关重要，但因台湾地缘政治风险而未建立大仓位。但在~$245时，美国开始了关乎国家安全的最大规模AI基础设施建设，$NVDA等公司创下历史新高。 这一切的核心是$TSM。我认为如果它是美国公司，估值将超过3万亿美元。 3. $BTC -> 我一直喜欢比特币，大学时朋友向我介绍。我曾用它支付数字商品，因为当时的PayPal不支持匿名支付，我也不喜欢向商家透露身份。 我一直喜欢比特币作为价值存储/支付手段，但当美国政府+美联储最终支持比特币作为黄金的替代品时，它变成了高确信度持仓。 我有一篇关于美国政府为何对比特币+稳定币有战略利益的长篇论文，改天再发。 4. $HOOD -> 金融基础设施已破碎。业内人尽皆知。 我喜欢Robinhood，因为我认识的散户用户都在用。作为一家金融科技公司的运营者，他们开发产品的速度（甚至与初创公司相比）令人惊叹。 从信用卡产品到银行服务，再到投资，他们确实让一切变得更好，然后直接向其庞大的用户群发布产品。 当然，与半导体/超大市值公司相比，金融科技公司的增长有上限，但如果其银行服务成功并持续创新，未来可能成为一家6000亿美元+的公司。 _ 1. $NBIS - 起初我承认自己在不看基本面情况下进行了波段交易。一切在Mag7开始与所有Neoclouds签约，特别是微软与Nebius签署170亿-190亿美元合同时发生了改变，这完全赋予了它新的重估逻辑。我开始研究基本面和他们拥有的资产，对其增长率感到震惊。 我相信它在1-2年内轻松达到$400（1000亿+市值）。 2. $ALAB - 许多Mag7公司都在Stargate + AI数据中心建设中使用它们。当然，其营收数字相对于当前市值很小，但其利润率像$NVDA一样，且同比增长100%+，这很惊人。谁知道它们能增长多高。 _ 1. $WLAC - 现在是最有趣的一个，如果我对任何小盘股/仙股有强确信度，那就是这个。Boost已经与Fluidstack合作（后者已为$GOOGL合同构建了$CIFR和$WULF，并将它们的估值提升至40-70亿）。 而在目前6亿美元IPO下，这很容易增长到[某公司]的市值。（之前已发过关于投机基本面的小论文）。因此我认为这是最可能实现1000%增长的标的。 _ 我也提到过$FLY作为潜在1000%标的，或$AMD因OpenAI 1000亿+远期收入而成为绝佳买入，但这与单纯相信公司/资产的高确信度略有不同。
原推 ↗英文原文
This is the first time I'm posting my high conviction list. These are my 6 highest conviction longs and 1 new 1000% moonshot🚀 Sorted by first bought and ~when/why I developed conviction. 5 Years: $RKLB ($16 | $28) $TSM ($120 | $245) $HOOD ($11.27 | $18) $BTC ($3k | $57k) 2 Years: $NBIS ($28 | $99) $ALAB ($55 | $95) 1000% Moonshot (don't have high conviction like the others, but I included this I currently believe this has the best chance to 10x) $WLAC ($13 | $13) Here's what changed: 1. $RKLB -> I knew Space was rapidly growing since Trump announced Space force. I wanted to invest in SpaceX at the time but there was no alternative. So I bought $RKLB when it started getting popular on Reddit. They had a high success rate with small-lift, but aside from that there wasn't anything special. Around the $28 mark a few months later, they started developing a medium-lift payload, SpaceX raised a large round at $350B, and I started seeing the potential for RocketLab to grow in that marketcap whether it's 5 years or 10 years (when they were developing Neutron) and I developed my conviction around it. 2. $TSM -> Always knew that TSMC was fundamental to semiconductors, but didn't build large positions because of Taiwan geopolitical risk. But around ~$245, America began the biggest build-out of AI infrastructure critical to national security with $NVDA and others hitting all time highs. In the center of it all, there's $TSM. I believe if it's an America company, it would be valued at $3T+. 3. $BTC -> I always liked Bitcoin, my friends introduced it to me back in college. I used it to pay for digital goods and stuff because Paypal at the time didn't have anonymous payments, and I didn't like sharing my identity to merchants. I've always liked Bitcoin as a store of value/payment, but when the US government + Fed finally supported Bitcoin as a alternative to Gold, it changed to high conviction. I have a whole really long thesis about why US Gov has a strategic interest in Bitcoin + Stablecoins but I'll post it another day. 4. $HOOD -> Financial infrastructure is broken. Everyone in the industry knows it. I liked Robinhood because all the retail users I know use it. And as someone who runs a fintech company, the speed at which they developed products (even compared to Startups), is astonishing. From credit card products, to banking, to investing, they've actually made everything better and then just ships products to their already-large userbase. Of course, there's an upper-cap in how large fintechs grow compared to semi/mega-cap, etc, but it could be a $600B+ company in the future if their banking products succeed and they continue with innovation. _ 1. $NBIS - I'm guilty of swing trading it without looking at fundamentals near the beginning. Everything changed, when Mag7 started signing deals with all the Neoclouds, and Microsoft signing a 17B-19B deal with Nebius completely gave it a new-rerating. I started looking into fundamentals, the assets they own, and I was blown away at their growth rate. I believe it could be easily be $400 (100B+ marketcap) in 1-2 years. 2. $ALAB - They're used by so many Mag7 companies for the Stargate + AI data center buildout. Of course, their revenue numbers are small compared to their current MC but their Margins are like NVDA and they're growing at 100%+ Y/Y, which is amazing. Who knows how high they'll grow. _ 1. $WLAC - Now for the fun one, if I had to have strong conviction any small cap/penny stock, it would be this. Boost already works with Fluidstack (which built $GOOGL contracts with $CIFR and $WULF already, and boosted their valuations to 4-7B). And at a $600m IPO now, this could easily grow to 's marketcap. (already made a small thesis post earlier about speculative fundamentals). Hence why I believe this is the most likely 1000% out of anything. _ I mention other things like $FLY as a potential 1000% too or $AMD as a great buy due to OpenAI 100B+ forward revenue but it's slightly different compared to having high conviction in terms of just believing in the company/asset.
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博主补充了RDDT、AMD、VIRT及锂稀土股的买入价位与逻辑。
@Hoona1203 因为 X 帖子字数限制，我没能列出所有股票代码。否则，$RDDT 在 192 美元是买入点，$AMD 在 210 美元是买入点，$VIRT 在 33 美元是买入点（与其说是作为单一多头头寸，不如说是作为良好的对冲工具，且我认为其被低估 + 将在财报中体现），锂-稀土股票也是买入标的，等等。
原推 ↗英文原文
@Hoona1203 I ran out of tickers because X post limits, otherwise $RDDT was a buy at $192, $AMD was a buy at $210, $VIRT is a buy at $33 (not so much as single long but as a good hedge and I believe this undervalued + will show up in earnings), lithium-rare earth stocks are a buy and so on.
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建议买入AMD，降级MU为持有，关注宏观风险。
对于像 $AMD 这样的半导体股，当其与 OpenAI 的 1000 亿美元合同开始放量时，是未来 1 年的买入时机。 有评论提到 $MU，由于相比 $TSM 等公司，$MU 在中国拥有大量的 DRAM/NAND 存储业务，因此受中国争端的影响更为实质性地类似于 $QLCM。所以我会将其降级为持有。 当然，鉴于特朗普是个变数，我不确定宏观风险会如何演变，如果紧张局势缓和，估值将会重新调整。
原推 ↗英文原文
For semis like $AMD it’s a buy for 1Y out when the 100B contract with OpenAI starts ramping up. Some other comment mentioned $MU, they’re more materially affected like $QLCM is to China disputes bc of large dram/nand for memory over there compared to something like $TSM. So would dg it to hold. Of course I’m not sure how macro risk will play out with Trump being a wild card and all, if tensions ease up things would be re-rated
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Coreweave是新云核心但债务风险高于同行。
@Solar_Twelve 我实际上已经触及了 X 平台股票代码数量的上限，否则我会讨论更多从 $AMD 到 $CRWV 的内容。不过，Coreweave 确实是新云(Neocloud)交易的核心，但相比 NBIS 或 CIFR，其债务状况相当糟糕。
原推 ↗英文原文
@Solar_Twelve I actually hit the X ticker maximum otherwise I would have talked about more stuff from $AMD to $CRWV. But yeah, Coreweave is at the center of the Neocloud trade but they have pretty toxic debt compared to NBIS or CIFR.
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分享受关税影响较小的个股建仓及宏观恐慌下的逢低买入机会。
关于持仓变动： 新建 $DKNG 仓位 - $32.7（看起来估值不错，下跌7%） 买入 $UNH - $356（下跌3%） 买入 $AMZN - $217.8（下跌4%） 感觉这些股票受关税影响最小，尤其是 Draftkings 哈哈。 另外，由于宏观担忧因特朗普的一条推文突然浮现，$SPY 下跌1.65%提供了绝佳的逢低买入机会。 举几个例子： $AMZN - 下跌3.7% $AMD - 下跌8.27% $HIMS - 下跌8% $SNAP - 下跌5.1% $META - 下跌3.07% $WLAC, $NBIS 始终适合定投(DCA)。
原推 ↗英文原文
In terms of position changes: Started new $DKNG position - $32.7 (seems pretty good value, 7% drop) Bought $UNH - $356 (3% drop) Bought $AMZN - $217.8 (4% drop) Just felt these were the least unaffected by tariffs, especially Draftkings lol.
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稀土管制短期利空AMD，但类比四月预期最终和解。
我可能认为 $AMD 的看涨期权应该盈利，因为它是无晶圆厂(fabless)模式，但显然短期内稀土出口管制对半导体行业是一个逆风。这导致了一次轻微的回调以计入该因素，但我认为整体抛售让我想起四月，当时他们达成协议，一切又恢复正常。
原推 ↗英文原文
I might think $AMD calls should print because they’re fabless but obviously near term it’s a headwind to the semi industry with rare earth export controls. This caused a slight correction pricing it in but I think overall selloff reminds me of April where they come to a deal and everything is fine again
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AMD因推文大跌8.2%，作者视其为买入机会。
@LibertadEterno 是的，$AMD 因一条推文下跌 8.2%，对我来说至少是在尖叫着买入机会。我可能会错。
原推 ↗英文原文
@LibertadEterno Yeah, $AMD dropping 8.2% off a tweet is screaming buy opportunity for me at least. I could be wrong
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宏观恐慌提供买入机会，重点阐述$FLY与诺斯罗普合作开发中型火箭的高赔率逻辑。
此外，由于特朗普的一条推文导致宏观恐慌突然重现，$SPY 下跌 1.65% 是一个绝佳的逢低买入机会。 举几个例子： $AMZN - 下跌 3.7% $AMD - 下跌 8.27% $HIMS - 下跌 8% $SNAP - 下跌 5.1% $META - 下跌 3.07% $WLAC 和 $NBIS 始终适合定投(DCA)。 （引用内容）： 自从我在 Reddit 发帖后，很多人询问我的 $FLY 投资逻辑，如下： Firefly 是一家像 $RKLB 这样的火箭公司，正在开发可重复使用的中型运载火箭。 目前唯一存在的只有 SpaceX。 他们目标在 2026-2027 年实现，如果成功，公司市值将重估至 300-700 亿美元，即从当前（44 亿市值）上涨 1000-2000%。 更多细节： 300-700 亿市值的估算基于 $RKLB 的倍数，且仅假设中型运载火箭业务成功。（我忽略了其他业务板块和当前超过 10 亿美元的收入积压订单）。 在中型运载火箭业务上：预计年收入约 9-13 亿美元，在可行的发射节奏（8-12 次）下毛利率为 30-40%。猎鹰系列(Falcon-class)的定价支持这一预期。 所以现在唯一的问题是，FLY 能成功吗？ 在 Firefly 公司最近一次发射失败后，股价下跌 50%，市场已经计入了未来失败的特征。空头指出 Alpha 火箭的失败代表了执行风险。然而，他们完全错误地定价了这种风险…… 他们应该问的问题是，诺斯罗普(Northrop)和 Firefly 能否共同成功？ 这是美国最大的航空航天国防承包商之一诺斯罗普与一家市值仅 40 亿美元的小型发射公司之间的联合开发(CO-DEVELOPMENT)。 诺斯罗普此前确实有自己的中型运载火箭，但不得不终止。诺斯罗普之前的发射器 Antares 230 在俄罗斯 2022 年入侵乌克兰之前是有效的，随后供应链被切断。 然而，诺斯罗普面临生存问题：它无法再制造自己的第一级火箭。因此，为了节省时间，他们寻找一家拥有现成推进系统和结构的美国合作伙伴：Firefly。 -> 动机：Firefly 的 Miranda 发动机提供了即插即用的替代方案，可立即构建中型运载火箭。 现在你拥有一枚将在 2026-2027 年由 Firefly 货币化的中型运载火箭（因为诺斯罗普持有该公司股份），只需使其可重复使用，这是最难的部分。 但诺斯罗普不仅仅是“帮忙”。它在各个方面结构性地降低了风险。诺斯罗普的系统加上 Firefly 的新太空发动机，占据了稀缺且高需求的护城河（美国可重复使用中型运载），已通过 TacRS 和超过 10 亿美元的积压订单以及美国“金穹顶”防御系统催化剂得到验证。 因此，如果 Firefly 在中型运载火箭上成功并建立巨大护城河成为下一个 SpaceX，购买 Firefly 的风险回报是不错的。 （我的投资组合中也有 $RKLB，我只是认为由于中型运载火箭已与诺斯罗普存在，成功实现可重复使用中型运载的机会高于正常水平）。 显然，Rocketlab 实现可重复使用中型运载的成功概率更高，但这已反映在其 320 亿美元以上的市值中，而 Fly 的市值仅为 44 亿。 我认为 $FLY 在当前估值下是一个有趣的 10 倍潜力股，前提是它能在未来一两年内成功。而且我只是真的很喜欢火箭。 我还让 Grok 计算了概率，因为 XAI 由火箭人(Rocketman)本人拥有。 输出： 到 2027 年底，Rocket Lab 有 90%+ 的机会实现可重复使用中型运载飞行（可能在 2026 年中），得益于其先发优势、经过验证的执行力和内部控制。 Firefly/诺斯罗普达到 75-80% 的概率，得益于诺斯罗普的遗产，但受限于 Firefly 较新的运营记录。额外的一年缩小了差距——如果 Antares 330 按时飞行且 Miranda 发动机规模化，Firefly 可能在 2027 年底匹配或超过 Neutron 的节奏。 如果两者都成功（这是一个巨大的假设），RKLB 的市值可能重估至 600 亿美元，$FLY 可能重估至 400 亿美元，仅仅是因为太空 TAM 因国家安全风险和企业部门建设而迅速增加，可能只需再等一年。
原推 ↗英文原文
Also since macro fears randomly appeared today with a Trump tweet, it’s an amazing dip buy opportunity on $SPY 1.65% drop. Just some examples: $AMZN - down 3.7% $AMD - down 8.27% $HIMS - down 8% $SNAP - down 5.1% $META - down 3.07% $WLAC, $NBIS always good to DCA.
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博主分享在关税恐慌中低买高卖AMD看涨期权的交易经历。
@Edu4rdo26 嘿，我在关税末日暴跌期间持有 $AMD 的看涨期权(Call Options)，当时价格是 $86，后来在 $95 左右卖出了。
原推 ↗英文原文
@Edu4rdo26 dw I had $AMD calls at $86 during the tariff doom drop and sold at $95 or something.
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若OpenAI用AMD替代英伟达，AMD或重估至万亿美元市值。
@soulbiri1 这是一只仅按份额计算的ETF！ 此外，OpenAI 基本上是所有基础AI模型的领导者。 如果萨姆·阿尔特曼认为他可以使用价值数千亿美元的 $AMD GPU 来替代 $NVDA，那么 AMD 可能会重新估值成为一家万亿美元市值的公司。
原推 ↗英文原文
@soulbiri1 This is a share-only ETF! Also, OpenAI is basically the leader of all foundational AI models. And if Sam Altman thinks he can use hundreds of billions of dollars worth of $AMD GPUs instead of $NVDA, then AMD might re-rate into a trillion dollar company.
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博主调整ETF持仓：大幅加仓AMD及新购多只AI/能源股，减仓部分股票以进行税务亏损收割。
哇，我在这个ETF上操作得极其激进，一切都涨得**很多。 不管怎样，以下是一些我会做的公司调整及解释： $AMD - +10%（重新评级） $FLY - +3%（新增） $WLAC - +1%（新增） $MU - +1%（新增） $FLNC - .5%（新增） $SEI - .5%（新增） $DFLI - - .25%（新增） _ 减仓（进行税务亏损收割 Tax harvesting） $ORCL $LULU $META $UPWK $ETOR $SNAP 其他小盘股 _ 以下是解释 $AMD - 刚刚获得了1000多亿美元的前瞻性收入，他们的季度收入几乎一夜之间翻倍，而且市场甚至还没有定价。极强的买入信号 $FLY - 44亿美元估值，从事类似$RKLB的小型至中型发射任务。让我想起RocketLab刚起步的时候，风险回报比很好。 $WLAC - Neocloud IPO，估值6亿美元（很低），EBITDA毛利率75%+，营收同比增长250%，很可能由Mag7（七大科技巨头）提供保底支持 $MU - 鉴于Stargate + OpenAI所需的基础设施量，内存需求旺盛 $FLNC + $SEI - 能源板块（高风险高回报） $DLFI - 电池板块（高风险高回报） 减仓 $ORCL - 在GPU建设方面遇到困难，这正好显示了超大规模云服务商和像$NBIS这样的Neocloud之间的护城河。直接购买Neocloud有更高的上行空间。 $LULU, $META, $UPWK, $ETOR, $SNAP. - 涨幅不大，我们要尽可能激进地持有赢家，并在完成税务亏损收割后回购，例如换成$AMD，以及获得更高回报的三次降息收益。 将在年底完成税务亏损收割后回购。
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Wow I cooked insanely hard with this ETF, everything is up a **** ton. Anyway, some company changes I'd make + explanations: $AMD - +10% (rerate) $FLY - +3% (new) $WLAC - +1% (new) $MU - +1% (new) $FLNC - .5% (new) $SEI - .5% (new) $DFLI - - .25% (new) _ Trim (Tax harvesting) $ORCL $LULU $META $UPWK $ETOR $SNAP Misc small caps _ Here's an explanation $AMD - Just got $100B+ in forward revenue lol, they almost doubled their quarterly revenue overnight and hasn't even been priced in yet. Extremely strong buy $FLY - $4.4B valuation doing small-medium lift launches like $RKLB. Reminds me of RocketLab when they first started, risk-reward is good. $WLAC - Neocloud IPO at $600m valuation (low) for something doing 75%+ EBITDA gross margin + 250% rev from last year + likely backstopped by Mag7 $MU - Memory in demand given the amount of infra required by Stargate + OpenAI $FLNC + $SEI - Energy Play (high risk high reward) $DLFI - Battery Play (high risk high reward) Trim $ORCL - Having trouble with GPU buildout, just goes to show the moat between hyperscalers and Neoclouds like $NBIS. Higher upside just buying Neoclouds. $LULU, $META, $UPWK, $ETOR, $SNAP. - Hasn't gone up much, we're playing as aggressive as possible with winners and will buy back once tax harvesting is done, eg. swap for $AMD, and higher return triple rate cut returns. Will buy back near EOY once tax harvesting is done.
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AMD被市场重新定价为下一个英伟达。
$AMD 简直疯了，见鬼。市场大概正在将其重新定价为下一个 $NVDA。
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$AMD is actually insane wtf. Markets are repricing it as the next $NVDA I guess. https://t.co/cuH0dEjd0n
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指出英伟达通过特定结构间接持有AMD股份。
@pepemoonboy 我觉得 $NVDA 通过这种结构间接持有 $AMD 的股份这件事挺有意思的。
原推 ↗英文原文
@pepemoonboy I just find it funny how $NVDA would have an indirect stake in $AMD through this structure.
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博主分享了一份包含多只股票权重的投资组合分散化示例。
@DigestingX 我在这里写了一个投资组合分散化的例子：https://t.co/R7eMeeqR29 （引用内容：我收到了很多关于股票权重的提问。我会构建的投资组合是：30% $NBIS，6% AMZN，5.5% TSM，5% BTC，5% LULU，4% UNH，4% $RKLB，4% LTC，3% ORCL，3% TGT，3% GRAB，2% $IREN，2% META，2% HOOD，2% HIMS，2% AMD，2% NVO，1.5% CRDO，1% BITF，1% ASTS，1% SG，1% UPWK，1% MP，1% FOUR，1% ETOR，1% INTC，1% COIN，1% SMCI，1% MRVL，1% DAVE，0.5% DLO，0.5% MELI，0.5% SNAP，0.5% CRWV，0.2% ONDS，0.2% NFE，0.2% TSSI，0.2% BKKT，0.2% GRRR）
原推 ↗英文原文
@DigestingX I wrote an example of portfolio diversification here https://t.co/R7eMeeqR29
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分析NBIS、AMZN、SNAP等个股机会，看好AI基建及降息预期。
10月6日周一收盘思考： - $NBIS 是极好的逢低买入机会。早盘上涨5.78%后回落2.38%。从 $IREN 到 $CIFR 的所有其他新云(Neoclouds)公司都守住了4%-14%+的涨幅。Nebius可能受期权资金流影响，预计很快会补涨，我维持 $225 的目标价(PT)。 - $AMZN, $META 是两只在未来2-3个月应跑赢大盘并补涨的七巨头(Mag7)成员。尤其是亚马逊。 - $SNAP, $RDDT 是两个不错的反弹标的。Snapchat尤其因为收入变现模式的改变。如果你有耐心持有股票一两年，我预期会有50%+的回报，只是取决于市场何时将其定价。并非每个人都有耐心，且将资金用于 $SNAP 而非新云(Neoclouds)的机会成本可能不划算。 关于Reddit，我一直认为ChatGPT引用是其暴跌29%的借口，所以我已买入。 - $SPRB 吸引了所有人的注意。我预计它将从7500万美元市值继续上涨至1.5亿-2亿美元，但这就像玩俄罗斯轮盘赌，通常在重大事件后2-3天就会发生稀释。 - 像 $RKLB 这样的股票，只需持有哈哈。即使它是我最高信用的5年期长线标的，也确实高估了，但此时它可能会像 $PLTR 一样表现。 - $AMD 与 OpenAI 的交易对半导体行业极度利好。我预计 $TSM, $ASML, 能源股和新云(Neoclouds)将从AI基础设施建设中受益。主要的负面因素是 $CRWV，因为其对 $NVDA 的依赖，以及显然的NVDA本身，但新云(Neoclouds)并未锁定单一玩家，且已锁定5-10年以上的合同。 这仅对 $NVDA 的护城河理念造成微小影响，但尚无实质性影响。 我个人认为AMD可能会像 $ORCL 一样在反弹后回调，然后当市场开始计入远期收入时，像 $AVGO 一样表现。 话说回来，我不知道OpenAI从哪弄来这么多钱，承诺给Oracle、AMD等这些十亿或百亿美元的交易，如果它们估值只有5000亿的话哈哈。 - 黄金每天创历史新高，仅仅表明 $BTC 始终是好的买入标的，即使在 $123k，如果它最终成为对抗通胀的对冲工具。其市值约为黄金的1/10。 - $LTC 仍然是很好的买入标的，因为ETF获批。由于政府停摆，人们只是忘记了它尚未发生，但最终应该会获批。 - $VIRT 在 $32.5 是极好的买入，我会在这个区间进行成本平均（抱歉如果你在 $36 买了看涨期权，我的仓位下跌了约35%）。但再次强调，这是对VIX的非对称对冲（VIX隐含波动率很高用于对冲，VIRT被低估~6.3倍远期市盈率，有回购和低隐含波动率），所以即使仓位下跌，你的其他股票应该会上涨以平衡。 - 仍在研究其他受益于基础设施建设的能源股、小盘股如 $EOSE、存储如 $MU 等，这些是粉丝推荐的。我尽量不在自己充分了解前谈论太多。 - 如果你使用杠杆或做多，现在是时候了，直到一月。三次降息，市场可能正在提前交易十月的降息。
原推 ↗英文原文
Monday October 6th Market Close Thoughts: - $NBIS extremely good dip buy. Down 2.38% after rising 5.78% in the morning. All other Neoclouds from $IREN to $CIFR held their 4%-14%+ gains. Nebius likely influenced by option flow, should play catchup soon and I stand by $225 PT. - $AMZN, $META two Mag7 that should outperform next 2-3 months and play catchup with the rest. Especially Amazon. - $SNAP, $RDDT two good recovery plays. Snapchat especially because of the revenue monetization changes. If you have the patience for shares for a year or two, I'd expect a 50%+ return, just whenever the market wants to price it in. Not everyone has patience and opportunity cost using the funds in $SNAP instead of Neoclouds might not be worth. Reddit I've maintained that the citations from ChatGPT is a BS reason for a 29% sell-off so I bought into it. - $SPRB caught everyone's attention. I do expect it to keep rising to a $150-$200m marketcap from $75m but it's like playing Russian Roulette, usually dilution happens 2-3 days after a major event. - Stuff like $RKLB, just need to hold lol. It's genuinely overvalued even if it's highest conviction 5Y long but at this point it might pull a $PLTR. - $AMD x OpenAI deal heavily bullish for semi industry. I expected $TSM, $ASML, energy stocks and Neoclouds to get a boost from AI infra buildout. Main negative ones were $CRWV, because of $NVDA dependencies and obviously NVDA, but Neoclouds aren't locked into one player, and they already have 5-10+ year contracts locked in. It just puts a tiny dent in the $NVDA moat idea but nothing material yet. I personally think AMD might pull an $ORCL where it dips past rally, and then ends up pulling an $AVGO when markets start pricing in forward revenue. Then again, I don't know where OpenAI is getting all this money to promise Oracle, AMD, etc. all these ten or hundred billion dollar deals if they're valued at 500B lol. - Gold rallying to ATH every day just signals that $BTC is always a good buy, even at $123k, if it ends up becoming a hedge against inflation. It's close to 1/10th the market-cap. - $LTC still a great buy because of ETF approval. There's the government shutdown so people just forgot it hasn't happened yet, but should get approved eventually. - $VIRT great buy at $32.5, I'd cost average around this range (sorry if you bought calls at $36, my positions are down 35% or so). But again it's an asymmetrical hedge to VIX (VIX IV very high for hedging, VIRT is undervalued ~6.3 forward p/e with buybacks an low IV), so even if positions are down, your other stocks should go up to balance it out. - Still looking into other beneficiaries of buildouts from energy stocks, small caps like $EOSE, memory like $MU, etc. that followers recommended. I try not to talk about something much until I'm informed myself. - If you're on leverage or going long, now is the time to do it until January. 3x rate cut, market probably frontrunning Oct rate cut now.
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交易对英伟达系利空，对AMD等供应链其他环节利好。
@yield_addicted 关于这笔交易，我认为总体偏负面：$NVDA、$CRWV（以英伟达为中心）。 总体偏正面（几乎其他所有标的）：$AMD、NBIS、CIFR、IREN、TSM 等。 护城河叙事逻辑发生变化，导致下跌 2.5% 是合理的。
原推 ↗英文原文
@yield_addicted For the deal, I'd say net negative: $NVDA, $CRWV (Nvda centric) Net positive (almost everything else): $AMD, NBIS, CIFR, IREN, TSM, etc. The 2.5% drop makes sense off moat narrative changes.
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分享9/25市场观点、定投计划及详细投资组合权重。
9月25日的每日思考+市场下跌分析，如果你喜欢我的见解： 1. 三次降息（Triple rate cut）的概率从65%降至56%。这影响很大，因为人们正在提前交易（front-running）降息预期。无论如何，任何降息通常都会带来大量资金流入，因此对几个月后的市场总体看涨。鲍威尔关于市场估值过高的观点在某些股票上确实成立。Oklo、Quantum等严重高估，但我从不做空。甚至像RKLB这样我喜欢的股票也严重高估。但由于通胀，场外资金太多，除了股票、房地产和BTC外别无他物可持。三次降息意味着他们希望“抢椅子游戏”（musical chairs）再持续8个月。我会开始担心明年夏天。 2. 市场过去两天下跌，我会利用这个机会在$Z下跌15%后定投（DCA），或在$NBIS下跌5%后买入AMZN。我仍需研究$CIFR，因此在下跌17.5%后还不能完全有信心推荐（暂时），如果我喜欢它，我可能会隔夜买入。还有很多有趣的标的可以波段交易，比如RKLB。我仍在等待下个月TGT的六位数看涨期权收益，因为11月的股息。大家都在加载AMZN的看涨期权，但像GOOGL一样，它可能会跌至$210->$200的水平，人们放弃后开始一波愚蠢的反弹。这就是为什么我说如果跌更多就换成看涨期权。 3. 大量税务亏损收割（tax harvesting）正在进行。如果你有耐心等4个月，像ETOR、TGT、LULU这样被低估的公司可能会恢复，但显然除非你使用杠杆+期权，否则不会获得600%+的收益。对于耐心的投资者来说，现在是囤货的好时机。 4. 我一直主张在市场放弃时（例如以太坊$1600）在低位买入，而当Bitmine出现新叙事时，在$4k+卖出是好的时机。即使跌至$3.5k我也不会抄底。我对此有一个完整的论点，但留到另一天再说。这与NBIS不同，后者投机性较低，比如一个170亿美元的合同流入一家市值250亿美元的公司，这只是执行+等待的问题。仍在等待LTC，小市值，市场仍定价90%的ETF获批。几个月后LTC可能会有一个新的Bitmine，凭借小市值可以大幅反弹。 5. 我从未见过除了“ thirst traps”（诱惑照）之外，书签数超过点赞数的帖子，所以你们一定喜欢我的投资组合权重！你已经看到我在这里做日内交易：https://t.co/AjTB69Na65，但每次改变头寸都进行喊单有点烦人，所以我更喜欢只发布一般性见解+论点。 6. 市场定价的是远期收入，即使你今天看到NBIS、TSM等下跌，它们基本面很好，可能会继续上涨。
原推 ↗英文原文
So daily thoughts on Sept 25th + market drop if you like my insights: 1. 3x rate cut went from 65% to 56% from data today. This is a lot more material, since people are front-running rate cuts now. Either way, any rate cut usually lead to large inflows so it's generally bullish for markets months out. Powell's thoughts about market being overvalued holds kind of true for certain stocks. Oklo, Quantum, etc. way too overvalued but never short. Even stuff i love like RKLB, really overvalued. But there's too much money flowing on sidelines, nothing else to hold other than stocks, real estate, btc, because of all the inflation. Triple rate cut implies they want to keep musical chairs running for another 8 moths. I'd start to worry around Summer next year. 2. Market droplast two days, I'd use the opportunity to DCA into $Z after 15% drop, AMZN, or $NBIS after 5%. I still need to research $CIFR so can't really full conviction recommend it after a 17.5% drop (yet), if I like it I'd probably buy overnight. Lot of fun things to swing trade like RKLB on the side. I'm still waiting next month for 6 figures in TGT calls, cause of Nov dividend. Everyone's loading AMZN calls now, but like GOOGL it will might drop to levels like $210 -> $200, where people give up then start some stupid rally. That's kinda why I said shares into calls if it drops more. 3. Lot of tax harvesting taking place. If you have the patience to wait 4 months, lot of undervalued companies like ETOR, TGT, LULU, will likely recover but obviously won't net 600%+ gains unless you do leverage + options. Great time to stock up if you're a patient investor. 4. I've always maintained you should buy stuff at the lows when market gives up on it (eg. Ethereum $1600), and when there's a new narrative with Bitmine, it's a good time to sell at $4k+. I wouldn't buy the dip even if it drops to $3.5k. I have a whole thesis on this but I'll save this for another day. This is only different if it's less speculative like NBIS, like a literal $17B contract flowing into a 25B marketcap company and it's just a matter of execution + waiting. Still waiting for LTC, small marketcap, market still pricing in 90% etf approval. There's likely going to be a new BItmine for Litcoin in a few months, and with a small MC can rally quite a bit. 5. I've never seen a post get more bookmarks than likes other than thirst traps, so you all must like my portfolio weighting! You've already seen me day trade here: https://t.co/AjTB69Na65 but it's a little annoying for me to do call-outs every time I change positions so I'd prefer to just post general insights + thesis. 6. Market prices in forward revenue, even if you see stuff like NBIS, TSM and stuff dropping today, they're great fundamentally and will likely keep going up.
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博主分享其包含NBIS等39只标的的具体投资组合权重配置。
我收到了很多关于股票权重的提问。我会构建的投资组合如下： 30% $NBIS 6% AMZN 5.5% TSM 5% BTC 5% LULU 4% UNH 4% $RKLB 4% LTC 3% ORCL 3% TGT 3% GRAB 2% $IREN 2% META 2% HOOD 2% HIMS 2% AMD 2% NVO 1.5% CRDO 1% BITF 1% ASTS 1% SG 1% UPWK 1% MP 1% FOUR 1% ETOR 1% INTC 1% COIN 1% SMCI 1% MRVL 1% DAVE .5% DLO .5% MELI .5% SNAP .5% CRWV .2% ONDS .2% NFE .2% TSSI .2% BKKT .2% GRRR
原推 ↗英文原文
I've been getting a lot of stock weighting questions. A portfolio I'd build would be: 30% $NBIS 6% AMZN 5.5% TSM 5% BTC 5% LULU 4% UNH 4% $RKLB 4% LTC 3% ORCL 3% TGT 3% GRAB 2% $IREN 2% META 2% HOOD 2% HIMS 2% AMD 2% NVO 1.5% CRDO 1% BITF 1% ASTS 1% SG 1% UPWK 1% MP 1% FOUR 1% ETOR 1% INTC 1% COIN 1% SMCI 1% MRVL 1% DAVE .5% DLO .5% MELI .5% SNAP .5% CRWV .2% ONDS .2% NFE .2% TSSI .2% BKKT .2% GRRR
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指出AMD依赖台积电代工。
@alc2022 还有……$AMD 运行在 $TSM 之上。
原推 ↗英文原文
@alc2022 and... $AMD runs on $TSM.
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建议买入垄断且低估的台积电，因其他AI股均依赖其代工。
如果你在纠结 $ORCL 对比 $AMZN | $GOOGL，$AMD | $AVGO 对比 $NVDA，$NBIS 对比 $IREN 对比 $WYFI 对比 $CRWV 这很简单。直接买入 $TSM，上述所有公司都依赖于它。 估值偏低且拥有垄断地位，基于未来增长 + 边缘推理(Edge Inference)的资本支出，市值有望从 1.3 万亿美元 -> 1.8 万亿美元。
原推 ↗英文原文
If you're debating $ORCL vs. $AMZN | $GOOGL, $AMD | $AVGO vs. $NVDA, $NBIS vs. $IREN vs. $WYFI vs. $CRWV It's easy. Just buy $TSM, everything above is dependent on it. Undervalued and a monopoly, will likely run from $1.3T -> $1.8T MC based on forward growth + capex from ERs.
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看好$ALAB长期潜力，建议持有而非波段交易。
嗯，$ALAB 刚刚暴涨了 16%。 我实际上不会进行波段交易或在此时获利了结，因为我认为这是另一只像英伟达(NVIDIA)那样能涨 500%+ 的股票。 你并不经常看到市值仅 160 亿美元的小盘公司，在服务于七大科技巨头(Mag7)的同时，还能实现 150%+ 的同比增长和 76% 的利润率。
原推 ↗英文原文
Well, $ALAB just shot up 16%. I actually wouldn't swing trade or take profit on this this since I think it's another NVIDIA 500%+ type stock. You don't really see small cap companies growing 150+ Y/Y with 76% profit margins serving Mag7 companies every day.
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博主建仓 $ALAB 并计划加仓，看好其高利润、高增长及顶级客户群。
我刚刚在 $ALAB 上建立了约 17.5 万美元的长期头寸，并计划将其逐步加仓至约 50 万美元，将其视为一个潜在的市值超 500 亿美元的“登月”机会。 拥有类似英伟达 (NVDA) 的利润率（76%），同比增长超过 144%，客户包括英伟达 (NVDA)、亚马逊 (AWS)、微软 (MSFT)、谷歌 (GOOGL)、英伟达 (NVDA)、AMD，而市值仅为 160 亿美元。 不可思议的客户群 + 增长/利润率。 https://t.co/bRCBgtoGSB
原推 ↗英文原文
I just bought long term ~$175k+ positions in $ALAB and plan to scale this to ~$500k as a potential $50B+ moonshot. NVDA-like profit margins (76%), 144%+ Y/Y growth, customers like NVDA, AWS, MSFT, GOOGL, NVDA, AMD at 16B market cap. Unreal customers + growth/margins. https://t.co/bRCBgtoGSB