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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 $INTC
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JBL收购部分英特尔光收发器业务，使其能与SIVE合作。
回复 @onlyonexhj：$JBL 收购了 $INTC 光收发器部门的一部分，这就是他们能和 $SIVE 做现在这些事情的方式。
原推 ↗英文原文
@onlyonexhj $JBL acquired part of $INTC optical transceiver division, which is how they’re able to do what they’re doing with $SIVE.
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称特朗普多次建议买DELL，戴尔财报超预期不应意外。
公平地说，特朗普今年确实多次告诉大家买 $DELL。 毕竟他自己也买了100万到500万美元的戴尔股票…… 但在 $INTC 发生的事情之后，应该能预见到戴尔业绩大超预期。 如果你觉得自己迟了，那还有……
原推 ↗英文原文
To be fair Trump did tell everyone to buy $DELL, multiple times this year. He did go out and buy $1-$5M worth of Dell stock himself after all… But should have seen this coming with Dell blowout earnings. After what happened with $INTC. If you feel like you’re late, there’s a https://t.co/TCRYhFnL8s
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Sivers通过Aeva成为Boston Dynamics的激光供应商，CPO技术是物理AI开发核心
有趣的事实：同一家公司经常出现在不同的供应链中。一个可能的例子是：$SIVE 作为上游激光供应商，通过以下路径供应给 Boston Dynamics：Sivers -> $AEVA FMCW（CW DFB 激光器）-> LG Innotek -> Boston Dynamics。我个人最初其实是因为4D AI而看好Aeva的。偶然发现Sivers是他们4D FMCW激光雷达的高置信度激光供应商。所以你实际上可以在光子学领域获得机器人曝光，而用于超大规模数据中心AI的同款CW激光器也在使用。虽然近期收入增长可能是$SIVE通过Aeva为$NVDA自动驾驶汽车相关架构供应激光器批量增长。人形机器人可能要到2028年？你总能得到更多间接曝光，比如MU的内存或$INTC的边缘CPU，但当然也有更直接的曝光方式。我觉得之前已经覆盖过很多名字了，比如$VPG或Harmonic Drive。但可笑的是，CPO玩家如$SIVE其实是前沿物理AI开发的核心部分。
原推 ↗英文原文
Fun fact: Lot of the same companies are often used across different supply chains. One likely example is: $SIVE as the upstream laser supplier to Boston Dynamics via: Sivers -> $AEVA FMCW (CW DFB lasers) -> LG Innotek -> Boston Dynamics. I actually personally liked Aeva for 4D AI first. Just so happened to find out Sivers was their high confidence laser supplier for 4D FMCW lidar. So you actually get robotics exposure with photonics while the same CW lasers used for hyperscaler AI DCs. Near term revenue ramp though it's probably $SIVE supplying laser volume ramp for $NVDA self-driving car related architectures though Aeva. Humanoids are probably later in 2028? You can always get more indirect exposure like MU with memory or $INTC with edge CPUs, but of course there's more direct exposure out there. Think I've already covered a lot of names in the past like $VPG or Harmonic Drive. But hilariously enough CPO players like $SIVE are a core part of frontier physical AI development.
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长文阐述用百分比回报验证thesis，而不是用金额炫富卖订阅。
我不公布美元金额，因为那并不重要。 重要的是回报百分比。说到这个…… 年初至今：3840.39%。 我可能是世界上唯一一个在短时间内点出多个10倍股的人。 你还记得这些 thesis 吗？ 1. $AXTI 2. $SIVE 3. $AAOI 4. $LITE 5. $IQE 6. $AEHR 7. $CRCL 8. $EWY 9. Unimicron 10. Nitto Boseki 11. $OSS 12. $GDRZF 13. $RPI 14. $SOI 15. $ALRIB 16. $SNDK 17. $SIMO 18. $VPG 19. $TSEM 20. $ARM 21. $MRVL 22. $INTC 23. $LPK 24. $NBIS 25. $MU 它们都上涨了100-1000%+，因为： 1. 我发布 thesis。 2. 人们可以看到几个月后股票表现。 3. 它们最终正确（thesis 被验证），因为上涨数百个百分点并保持回报。 我非常不喜欢传统 X 网红展示大额美元数字、名表、豪车、私人飞机。 然后用这些来卖昂贵订阅，而不是靠市场回报赚更多。 所以我想通过免费的 thesis 帖和之后的百分比回报结果，建立一种基于纯信息发现/综合的新趋势。 简而言之：验证 thesis 最重要的是市场百分比回报。 不是赚到的美元金额。
原推 ↗英文原文
I don't post dollar amounts because they don't matter. What matters is return %. Speaking of that... YTD: 3840.39%. I'm probably the only one in the world. Who called out multiple names that 10x'd in a short timeframe. Do you remember these thesis anon? 1. $AXTI 2. $SIVE 3. $AAOI 4. $LITE 5. $IQE 6. $AEHR 7. $CRCL 8. $EWY 9. Unimicron 10. Nitto Boseki 11. $OSS 12. $GDRZF 13. $RPI 14. $SOI 15. $ALRIB 16. $SNDK 17. $SIMO 18. $VPG 19. $TSEM 20. $ARM 21. $MRVL 22. $INTC 23. $LPK 24. $NBIS 25. $MU They're all up 100-1000%+, because... 1. I post a thesis. 2. People can see how the stock performs months later. 3. They turn out right (thesis validation) because they're up hundreds of percent + hold their returns. I really dislike the traditional X influencer who shows large dollar amounts or fancy watches/cars/private jets. Then use that to get more by selling expensive subscriptions rather than through market returns. So trying to set a new trend off pure information discovery/synthesis from free thesis posts and the results that follow in terms of return percentages. TLDR: Market returns in terms of percentages matter the most to validate a thesis. Not the dollar amount made.
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认为INTC/RKLB/NBIS到2029仍会存在，可让已有仓位复利。
回复 @realstockfox：是的，我很确定 $INTC、$RKLB 和 $NBIS 到2029年还会存在…… 不需要不断进入新的/不同的美国仓位，只要让你已有的仓位随时间复利即可。
原推 ↗英文原文
@realstockfox Yep, I'm pretty sure $INTC, $RKLB, and $NBIS will be around in 2029... Don't need to keep entering new/different US positions, just let the ones you have compound over time.
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解释近期新增台湾/欧洲多头较多，是因为喜欢的美国股名单没变。
人们一直问： 嘿，为什么你最近有 $LPK 或 Foci 这样的台湾/欧洲新多头？ 而美国新名字不多？ 部分原因是，我喜欢的美国股票名单从 $INTC 到 $NBIS 并没有改变。 你总可以让自己喜欢的名字继续成长。
原推 ↗英文原文
People keep asking: Hey why do have new longs with Taiwan/EU stocks recently like $LPK or Foci? And not much with new US ones? It's partly because the list of US stocks I've liked from $INTC to $NBIS hasn't changed. You can always just let the ones you like grow. https://t.co/ostZWjOAAm
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提到Intel EMIB先进封装供应链中AP Memory 6531。
关于 $INTC EMIB 先进封装供应链： 如果你以为上 AP 历史或 AP 化学之后不会更糟： 显然有家公司叫 AP Memory（6531）。市值48亿美元，已经获得认证。 如果有人想看一下。我现在在吃火锅，没有足够时间做尽调。
原推 ↗英文原文
For $INTC EMIB advanced packaging supply chains: If you thought it couldn’t get worse after taking AP History or AP Chemistry: There’s apparently a company called: AP Memory (6531). $4.8B MC that got qualified. In case anyone wanted to take a look. I’m eating hot pot rn so not enough time for DD.
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深度分析光子学供应链四只股票，强调TAM扩张和垂直整合逻辑，认为是长期核心持仓而非短期交易
当我看到像这样（而且很多）的来自散户投资者的评论时，我立刻认为他们缺乏技术深度。 我来逐一分析从$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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列出年内高收益长仓并回顾战绩
Leopold Aschenbrenner 很传奇，但我不确定他能打败 Serenity Awareness fund 今年至今 3152.77% 的收益。 不过话说回来，我今年已经做对了 23 个不同的多头，年内回报在 100% 到 1000%+ 之间。 1. $AXTI 2. $AAOI 3. $SIVE 4. $LITE 5. $IQE 6. $AEHR 7. $CRCL 8. $EWY 9. Unimicron 10. Nitto Boseki 11. $OSS 12. $GDRZF 13. $RPI 14. $SOI 15. $ALRIB 16. $SNDK 17. $SIMO 18. $VPG 19. $TSEM 20. $ARM 21. $MRVL 22. $INTC 23. $LPK 你还记得这些吗，anon？
原推 ↗英文原文
Leopold Aschenbrenner is a legend, but I'm not quite sure he can beat 3152.77% YTD in the Serenity Awareness fund. That being said, I've hit 23 different longs this year with 100-1000%+ YTD. 1. $AXTI 2. $AAOI 3. $SIVE 4. $LITE 5. $IQE 6. $AEHR 7. $CRCL 8. $EWY 9. Unimicron 10. Nitto Boseki 11. $OSS 12. $GDRZF 13. $RPI 14. $SOI 15. $ALRIB 16. $SNDK 17. $SIMO 18. $VPG 19. $TSEM 20. $ARM 21. $MRVL 22. $INTC 23. $LPK Do you remember all of these anon?
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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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总结近期半导体与 AI 供应链的多项变化
这是我对最近半导体发展的一个 TLDR： 1. $TSM 在强推 CoPoS - VisEra / 其他公司可能会比预期更早起飞。 2. $AAPL 选择 $INTC 做半导体生产，这是个重大变化，因为他们通常会选 TSM。美国制造继续起飞，Intel 继续起飞。 3. $NVDA Vera Rubin 最近据说对散热架构做了很新的调整。 “台湾的热管理供应商正在成为 AI 硬件生态里增长最快的板块之一” - 上个月的说法。 “Vera Rubin server 架构预计会推动数据中心散热和系统设计发生根本变化” 我之后会专门看热管理生态，也许该开始研究一下？ 4. 2D NAND 短缺在 Samsung、Micron 和其他玩家退出后继续恶化。 Macronix、Windbond 都在起飞，这对 GigaDevice 和其他利基玩家也有影响。 5. “大科技公司据称愿意出资帮助 SK Hynix 建 fab 和 EUV” 说明 memory 短缺严重到 Mag7 都愿意出钱，那 $MU、SK Hynix、Samsung 都在起飞。 6. $TSM 2026 年 4 月净营收 126 亿美元，收入同比增长 30%，半导体继续起飞。 7. Anthropic 需要算力 -> SpaceX。 这意味着算力需求极其强，对 $NBIS 等都是“BRRR”级别利好。 但很有意思的是，他们绕开了 Neoclouds，选了 SpaceX。 8. “SKC 将在今年年底前加速为美国客户量产玻璃基板” “提前于原计划，已宣布今年年底前推进” 像 $LPK 这样的玻璃基板量产玩家，以及 SKC 这类相关公司都在起飞。 玻璃时间线被提前了，真的 heavy brrr glass。 9. AI 服务器需求和 GaN 争夺加剧，电源芯片短缺也在加深。 也许是时候看看电源芯片瓶颈了？ 10. Adata 说 DRAM 和 NAND 闪存合约价在 2026 年第二季度都会上涨 40% 以上。 这对 $MU、SK Hynix、Samsung、$SNDK 等都是正面。
原推 ↗英文原文
Just a TLDR of recent semi developments: 1. $TSM pushing hard CoPoS - VisEra/others might go brrr earlier than expected. 2. $AAPL goes with $INTC for semi production, which is a major shift cause they normally go with TSM. Made in America go like Intel go brrr. 3. $NVDA Vera Rubin reportedly makes changes to cooling architectures very recently. "Taiwan's thermal management suppliers are emerging as one of the fastest-growing segments in the AI hardware ecosystem" - From Last Month. "Vera Rubin server architecture is expected to drive a fundamental shift in data center cooling and system design" Will cover thermal ecosystem later, maybe it's time to take a look? 4. 2D NAND shortage spirals after Samsung, Micron, and rivals exit market Macronix, Windbond go brrr. implications for GigaDevice and other niche players. 5. "Big Tech reportedly offers to fund SK Hynix fabs and EUV" - Memory that badly bottlenecked that mag7 wants to pay for it, so $MU, SK Hynix, Samsung go brr. 6. $TSM 2026 net revenue $12.6B for April 2026. Revenue up 30%, Semis keep going brr. 7. Anthropic needs compute -> SpaceX. So implications for compute demand is extreme here which is BRRR $NBIS and others. But it's very interesting they sidestepped Neoclouds and went with SpaceX. 8. "SKC to Accelerate Mass Production of Glass Substrates for U.S. Clients by the End of the Year" "the end of the year, ahead of its original plan, it has been announced" Glass Core substrates players like $LPK for mass production and other related players like SKC go brrr. Glass timelines moved up. heavy brrr glass. 9. "Power chip shortages deepen as AI server demand and GaN battles escalate" Maybe time to look into the power chip bottleneck anon? 10. "Adata said DRAM and NAND flash contract prices will each climb more than 40% in the second quarter of 2026" Another positive for $MU, SK Hynix, Samsung, $SNDK, and others.
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感叹价值股投资者都被这轮周期淘汰了
我感觉这轮周期里，所有做 $FISV、$PYPL、$NVO 这类价值 / 股息投资的人都“灭绝”了？ 去年还很流行…… 但如果你转去做 $INTC 或 $SNDK 这类半导体，年内其实已经能赚 200-400%+。 X 上现在全是 AI 瓶颈话题，感觉这波趋势还是我带起来的？ https://t.co/tj7ykBGMyr
原推 ↗英文原文
I feel like all the $FISV, $PYPL, $NVO value/dividend investors went extinct this cycle? Was very popular, even last year… But if you pivoted to semis like $INTC or $SNDK, you would be up 200-400%+ YTD. X feed is just AI bottlenecks now, feel like I helped start a new trend? https://t.co/tj7ykBGMyr
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AAOI被比作光学版Intel，借超大规模需求东风，2027年收入预测显示严重低估。
我之前在 $AAOI 市值 $6.49B 时就说过同样的话。 现在市值 $11.5B，故事还是一样的： 基本上这就是光学(Optics)版的 $INTC，他们正在将产能从激光晶圆制造扩展到美国本土组装。 他们生产的任何东西都可能被超大规模云厂商(Hyperscalers)收购。 如果看 2027 年中期预测的 $1.41B 季度收入增长（$471 x 3）与当前市值的对比，当前的财务数据其实不太重要。 以及高盛预测的 9 倍 TAM 增长曲线。
原推 ↗英文原文
I’ve said this before when $AAOI was $6.49B. Now it’s $11.5B and this is the same story: Basically this is the Optical version of $INTC, where they’re scaling capacity from laser fab to assembly Made in America. Anything they make is likely to be bought out by hyperscalers. Current financials don’t really mater if you look at $1.41B quarterly revenue ramp by mid 2027 projections ($471 x 3) vs current MC. And the overarching 9x TAM curve from GS projections.
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认为 LPK 是玻璃基板超级周期的更干净玩法
$LPK 在过去两周涨了 80%。在大约 6.87 亿美元市值下，这成绩不算差。 它大概是下一个玻璃基板超级周期里最干净的玩法之一。 量产之后，每个客户可能要 50 到 100 台机器，2027 年的量产节奏会覆盖 $INTC、$GLW、SKC 等很多公司（因为它们已经拿到了大约 80% 的主要玩家）。 每台机器平均大概 200 万欧元。 仅仅 5 家玩家在 2027 年就可能带来 4 亿到 10 亿欧元以上的收入（甚至更多）？因为它们基本上是大家都在用的 chokepoint。按照约 67.6% 的综合毛利率看，等量产爬坡还是挺有希望的。
原推 ↗英文原文
$LPK up 80% in the last two weeks. Not too shabby at ~$687M MC? It's probably one of the cleaner ways to play the next Glass Substrate supercycle. 50-100 machines per customer at scale, with "start of 2027 as mass production" across likely $INTC, $GLW, SKC, and others (since they captured ~80% of the major players). Maybe ~€2M average per machine. €400M–€1B+ across just 5 players in 2027 (could be more)? Since they basically supply to everyone as a chokepoint. Off ~67.6% blended gross margins. Seems promising for volume ramp wait time.
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认为 LPK 是最喜欢的玻璃基板敞口
不，我现在最喜欢的敞口大概是 $LPK，因为它们给所有人供货。 我的意思是，如果你做多玻璃核心基板，Samsung、$INTC 和其他公司可能会更大一些。 SKC 可能是这个领域里市值最低的龙头。 然后如果它们跑通了，HB 大概会顺带受益，并且最终给其他玩家提供和良率相关的东西。
原推 ↗英文原文
No. $LPK is probably my favorite exposure right now since they supply to everyone. I'm just saying if people are long glass core substrates, Samsung, $INTC, and others are probably a bit bigger. SKC is probably the lowest MC leader in that space. Then if you see them succeeding, then HB gets a piggyback + probably ends up supplying yields related stuff to the other players.
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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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感谢对 AAPL 和 INTC 相关消息的提示
@DrNHJ 对，谢谢你提醒我关于 $AAPL 和 $INTC 的新闻。
原推 ↗英文原文
@DrNHJ Yep! Thanks for the news regarding $AAPL and $INTC.
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嘲讽Bernstein的$35目标价错误，机构唱空却在暗中做多，散户不应盲从机构预测。
我在1月份就说过Bernstein给$INTC定$35目标价简直是个小丑。他们只会乱给目标价。散户恐慌抛售正是他们的有意目的。而其他机构却在悄悄做多（从$SOI就能看出）。现在你读这些报告唯一的原因，就是从中寻找之前没有公开过的细微信息。然后自己推导市值预期。英特尔现在$100，在他们给$35目标价之后。机构不是你的朋友。
原推 ↗英文原文
I called out Bernstein for being a clown when they gave $INTC a $35 price target in Jan. They just slap dumb PTs. Retail panic sells as an intended consequence. While the other institutions silently go long (as seen with $SOI). Only reason you should read these anymore is for any nuances they drop that wasn’t public before. Then derive your own MC projection. Intel is now $100 after their $35 PT. Institutions are not your friends.
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总结自己这个月的收益表现
我这个月收益还不错。 从 $AAOI 涨 100% 到 $SOI 涨 153.9%。 $SNDK +70%、$INTC +97.7%、$MRVL +54%、$ARM +41.5% 对我个人来说都算跑输。 但整体看还是挺猛的。
原推 ↗英文原文
I had a decent month. Everything from: $AAOI went up 100% to $SOI went up 153.9%. $SNDK +70% or $INTC + 97.7% or $MRVL +54% or $ARM +41.5% were underperformers for me personally. Curious how you all did?
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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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MSSCorps 在 CPO 检测上像垄断
我现在做多 MSSCorps（6830），市值大约 14 亿美元。 这看起来像是 CPO 检测环节的功能性垄断。 但市场可能把它和材料/失效分析混淆了，后者更像 MA-tek 和 iST 那样的寡头格局。 按客户映射来看： 1. $TSM 2. $NVDA 3. $AAPL 4. $AMAT 5. $LRCX 6. $ASML 7. $INTC 还有很大概率包括 $AVGO、联发科、三星、$MRVL 等等（他们也提到了欧盟）。 如果你感兴趣： - 台北时报把 TSM 说成是客户，Msscorps 为其提供先进材料和失效分析，还点名了苹果、英伟达、Lam、AMAT（也感谢 Latent 和我一起做尽调。英伟达那边还有通过 LinkedIn 之类看到的其他供应链关系） - 对 $AMSL 而言，《台北时报》在 2024 年 9 月 10 日写到：“ASML 采用了 Msscorps 超高灵敏度的光刻胶材料分析” - 对英特尔来说，材料分析实验室 MSSCORPS 已经拿下了英伟达和英特尔等大厂的订单（工业技术研究院） 至于检测（非破坏性红外漏检），他们几乎是垄断。 而且他们还积极使用诉讼（比如 Enli Tech 诉讼）来挡住竞争对手，我把这看成正面因素。 这带来了巨大的定价权和收益率，而且每个主要玩家都要经过他们。 CPO 检测市场也极其关键，和 $AXTI 在 InP 基板环节一样，这种巨大卡点具有纯粹的定价权和提价能力。 风险在于专利诉讼不一定按计划推进，但英伟达和其他超大规模云厂商大概率不会在 MSSCorps 赢了之后去找别家，因为他们不想承担风险。 所以这本身就构成了一个多年期的巨大优势。 超大规模云厂商不会等一个新兴竞争对手证明自己能赢再行动，也不会愿意承担这个风险。 我确实看到了 MSSCorps 因为在 CPO 的关键良率卡点上有机会重估，所以我选择做多（非投资建议，自己做功课），这就是我的思路。
原推 ↗英文原文
I am now long MSSCorps (6830) ~$1.4B MC This appears to be a functional monopoly in CPO for inspection. But markets might have conflated that with Material/Failure Analysis with MA-tek and iST (oligopoly). For customers from mapping: 1. $TSM 2. $NVDA 3. $AAPL 4. $AMAT 5. $LRCX 6. $ASML 7. $INTC And high probability $AVGO, MediaTek, Samsung, $MRVL, and others (they did mention EU too). If you're curious: - Taipei times names TSM as a client that Msscorps provides them with advanced material and failure analysis and name drops Apple, Nvidia, Lam, AMAT (also S/O to Latent for doing DD with me on this. there's other supply chain relationships to Nvidia through things like linkedin) - For $AMSL, Taipei Times, Sept 10, 2024 "ASML adopted Msscorps' ultra-sensitive materials analysis of photoresists" For Intel - Material analysis lab MSSCORPS has secured orders from major manufacturers such as Nvidia and Intel (Industrial Technology Research). For inspection (non-destructive infrared (IR) leakage detection), they're a monopoly. And have aggressively used litigation (like the Enli Tech lawsuit) to lock out rivals, which I view as a positive thing. This creates massive pricing power with yields and every major player goes through them. CPO inspection market is also extremely critical and like $AXTI in the InP substrate section, this massive chokepoint has pure pricing power with price hikes. The risk is the patent suit doesn't go as plan, but Nvidia and other hyperscalers aren't likely to go with other parties in case MSSCorps wins, so this creates a massive multi-year advantage anyway. Hyperscalers aren't going to wait to see how an emerging competitor is going to win or not + take the risk. I do see the massive re-rating potential with MSSCorp holding a critical yields chokepoint over CPO, so I went long (NFA, DYOR), this is just my thought process.
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每天都在大涨有点疲劳
还有别人也开始对从 $INTC 到 $SIMO 这些名字每天都在涨这么多感到有点疲劳吗？ 你看，英特尔这家 3000 多亿美元的公司一天涨 11%，而 Silicon Motion 涨了 41%…… 很大一部分其实只是押对了行业 / 玩家…… https://t.co/ZEPkUVVt51
原推 ↗英文原文
Anyone else getting a little tired of everything from $INTC to $SIMO just going up so much every day? You have Intel, a $300B+ company gaining 11% a day, while Silicon Motion gaining 41%… Large part of it is just going long on the right sector/players... https://t.co/ZEPkUVVt51
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LPK 主打玻璃基板和激光刻蚀卡点
@MickaelLacoste2 不是。玻璃基板才是下一波先进封装浪潮。 而 $LPK 在激光诱导深蚀刻上几乎是功能性垄断。 这更像是对下一代封装范式的纯度敞口，而且没有 SKC 那种拖累，也没有 $INTC 那种其他业务分散。
原推 ↗英文原文
@MickaelLacoste2 No. Glass substrates are the next advanced packaging wave. And $LPK has a functional monopoly over laser induced deep etching. It’s more of pure play exposure to the next packaging paradigm without the drag SKC has or other segments $INTC has.
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INTC 五万亿美元猜测还太早
@cholevovo 关于 $INTC 的 5 万亿美元数字，我也不确定，但路还很长。 还有一个小错误：第一个数字写错了，应该用“推动”这个词，而不是“推动过”。 https://t.co/CrzGnh4Hw2
原推 ↗英文原文
@cholevovo Yeah idk about that $5T number for $INTC but there's a long way to go Mistyped #1 and should have used the term pushing* instead of pushed. https://t.co/CrzGnh4Hw2
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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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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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META 可能是终端客户
@xm_build 这甚至都算不上泄密…… 你知道 $SIVE 在给 $JBL 的 1.6T LRO 供货，而当你指出 $META 很可能是最终终端客户时（因为 Meta 是 $INTC 的硅光客户，而 Jabil 已经收购了这个链条）， 人们就会生气，然后开始做空。这个文化挺有意思的。
原推 ↗英文原文
@xm_build It's not even leaks though... You know $SIVE is supplying to $JBL 1.6T LRO and when you point out $META is the likely end user (because Meta is the $INTC SiPH customer Jabil acquired). People get upset and start shorting. It's an amusing culture.
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两周等权收益回顾
先放这儿…… 如果等权计算，两周回报会是 +15.02%。 在 30 只不同股票上……大多是中大盘。 1. $INTC +29.62% 2. $MRVL +40.95% 3. $TSM +4.72% 4. $COHR +18.9% 5. $RKLB +26.76% 6. $DRAM +12.29% 7. $AVGO +18.32% 8. $AMZN +9.17% 9. $ARM +36.6% 10. $TSEM -1.25% 11. $IBIT +7.68% 12. $NBIS +15.22% 13. $GOOGL +6.41% 14. $AMKR +32.25% 15. $HOOD +19.14% 16. $CRCL +17.58% 17. $META +4.9% 18. $LITE -5.28% 19. $LPTH +20.23% 20. $FN +11.54% 21. $JBL +15.45% 22. $MP +17.48% 23. $HIMS +42.53% 24. $SMTC +18.83% 25. $POWL +9.26% 26. $VPG +17.44% 27. $MOG.A -3.96% 28. $MSFT +11.44% 29. $CVX -1.47% 30. $XLU -2.29% 显然时间周期很短，但我预计这些里面很多还会继续上涨。 如果你在特定名字的下跌时点位进场，而不是一口气同时做多，结果可能会更高。 也不算差吧？
原推 ↗英文原文
Just putting out there... Would have been +15.02% in 2W equal-weighted return. On 30 different stocks... mostly medium-large cap. 1. $INTC +29.62% 2. $MRVL +40.95% 3. $TSM +4.72% 4. $COHR +18.9% 5. $RKLB +26.76% 6. $DRAM +12.29% 7. $AVGO +18.32% 8. $AMZN +9.17% 9. $ARM +36.6% 10. $TSEM -1.25% 11. $IBIT +7.68% 12. $NBIS +15.22% 13. $GOOGL +6.41% 14. $AMKR +32.25% 15. $HOOD +19.14% 16. $CRCL +17.58% 17. $META +4.9% 18. $LITE -5.28% 19. $LPTH +20.23% 20. $FN +11.54% 21. $JBL +15.45% 22. $MP +17.48% 23. $HIMS +42.53% 24. $SMTC +18.83% 25. $POWL +9.26% 26. $VPG +17.44% 27. $MOG.A -3.96% 28. $MSFT +11.44% 29. $CVX -1.47% 30. $XLU -2.29% Obviously short timeframe, but I expect many of these to keep going up more. And probably would have been higher if you time the drop on specific names, rather than going long all at once. Not too shabby?
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别晒自己的年内收益了
现在大家都在分享自己在 $MRVL、$INTC 到 $ARM 上涨之后的年内收益…… 我想我还是先不晒自己的，免得让别人心情好点？
原推 ↗英文原文
Everyone’s out there sharing new YTDs after $MRVL, $INTC to $ARM went up… I think I’ll stop sharing mine just to let others feel better?
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不要追逐每一轮新瓶颈
别因为每个新闻周期里出现一个新的“瓶颈”就开始 FOMO。 它现在的轮动是： $NVDA GPU -> $MU 存储 -> $IREN 电力 -> $LITE EML -> $SNDK 存储 -> GPU -> $AAOI 收发器 -> 先进封装 -> 变压器 -> $INTC CPU……等等 然后下一个就会变成 $LPK 的玻璃基板，或者日本某种别的冷门材料。 这些大多都横跨好几年。 如果 $LITE 到 2028 年都卖完了，而现在才 2026 年上半年。超大规模云厂商其实已经在把 $AAOI 能做的产能都买走了。 最好的办法可能就是对现有仓位耐心一点。 因为你追当前新闻周期，大概率只会错过某个突然拉起来的绿柱。
原推 ↗英文原文
Not the best idea to feel FOMO about the new “bottleneck” in every news cycle. It’s going from: $NVDA GPUs -> $MU Memory -> $IREN Power -> $LITE EMLs -> $SNDK Memory -> GPUs -> $AAOI transceivers -> Advanced Packaging -> Transformers -> $INTC CPUs… etc And next would be stuff like $LPK glass substrates or some random niche material from Japan. Most of these span multi-years. If $LITE is sold out into 2028 and it’s H1 2026. Hyperscalers are buying out anything $AAOI can make. It’s probably good idea to just be patient with your existing positions. Because there’s likely going to be some random green candle that you miss out on chasing the current news cycle.
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INTC 财报与本土制造强势
天啊，$INTC。 半导体财报、美国制造、CPU 瓶颈、Intel Foundry，一起起飞。 https://t.co/st3D8wfsFi
原推 ↗英文原文
Holy **** $INTC. Semi earnings, Made in America, CPU bottlenecks, and Intel Foundry go brrr. https://t.co/st3D8wfsFi
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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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欧盟小盘股是防卡点外溢
我有理由重点关注欧盟小盘股。 这是我还没公开讲过的投资 thesis。 我也希望大家愿意花时间读一下： 从 $ALRIB（量子 / MBE）、$LPK（玻璃基板）、$SIVE（DFB 激光），或者像 Nippon Chemical 这样的亚洲公司都包括在内。 这是为了防止敌对势力接管或破坏美国所需的关键卡点。 欧洲的 FiconTEC（虽然是私营公司）就是一个例子，被和中国中共有关联的公司收购了。 我甚至不确定这在法律上怎么会被允许，德国应该 100% 把它从中国手里收回来。 它们几乎垄断了 AI 和 LIDAR 所需的 CPO / SiPH 测试环节。客户里包括 $NVDA、$TSM、$AVGO 和 $INTC 这类最关键的 AI 和半导体公司。 随着时间推移，这种收购之后，大量知识产权和技术 IP 流向中国的可能性很高，而且他们会对美国供应链拥有更多控制。 如果有足够的美国持股和足够的关注，我们的处境会比现在好得多，也不会有隐藏的中共持股 / 接管问题。 否则，我们在美国供应链上就会有更多后门，就像 $AXTI 和 InP 基板那样（如果我们现在没有建立独立产能的话）。 欧盟允许上游供应链卡点（比如专门测试或基板制造）被地缘政治对手买走，或者把 IP 转移过去。 而美国可能还没有意识到这些脆弱性。 这已经是我作为散户能尽到的最大努力了。 未来政策制定者会注意到这些，并在这些草根（散户）自下而上的推动中，阻止这种事情发生。
原推 ↗英文原文
There's a reason I spotlight EU small caps. This my investment thesis that I haven't publicly stated yet. And I hope people spend the time to read: From $ALRIB (quantum/MBE), $LPK (glass substrate), or $SIVE (DFB Lasers). Or even Asian names like Nippon Chemical. It's to prevent hostile actors from taking over or disrupting critical chokepoints required by America. FiconTEC (Europe) as one example (though private) was acquired by Chinese CCP affiliated companies. Not even sure how this was legal and Germany should 100% seize it back from China. They were a quasi-monopoly over testing for CPO/SiPH needed for AI and LIDAR. It's clients include the most critical players in AI and semiconductors, such as $NVDA, $TSM, $AVGO, and $INTC. Over time, significant intellectual property and technological IP transfer to China is highly likely after these acquisitions and they'll have more control over US supply chains. With enough American ownership enough spotlight on these companies: we would be in a worse shape with hidden CCP ownership/takeovers. Or we would have more backdoors on American supply chains like with $AXTI and InP substrates (if we weren't building up independent capacity now). The EU has allowed upstream supply chain chokepoints (like specialized testing or substrate manufacturing) to be bought out or have their IP transferred by geopolitical rivals. While America still not might realize a lot of these vulnerabilities. This is the most I can do as a retail investor to prevent this from happening. Eventually policymakers will pay attention and prevent this from happening if all the movement happens from grassroots (retail) and bottom up.
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INTC 需要产业主权
@Adnan_M01 我现在看好 $INTC，而且这也是我工作的第一家公司。 美国需要在先进半导体供应链上确保主权。 其中一部分就是在盈利前先补贴 capex。
原推 ↗英文原文
@Adnan_M01 I’m a fan of $INTC now and that was the very first company I worked at. America needs to secure sovereignty over its advanced semiconductor supply chains. Part of that is subsidizing the capex until profitability.
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LPK 是玻璃基板卡点
现在很多人不停问我对 $LPKK / $LPK 的看法。 是的，我之前说过，它们就像 LIDE（激光诱导深蚀刻）里玻璃核心基板的卡点。 已知最大的合作伙伴是 $ONTO（LPKF 和 Onto 的计量检测合作，用于玻璃核心的大规模生产）。 至于市场份额："超过 80% 的全球主要客户都选择了 LPKF 设备" 用于流程验证。 所以这大概包括： - Samsung Electronics / Electro-Mechanics - $INTC（收到一家领先芯片制造商的大单……在 2020 年初安装了第一套 LIDE 系统……现在又下单更多 LIDE 系统以开始量产） - SKC（Absolics） - $GLW、AGC、Schott。 - Nippon Electric Glass。 当然，这里说的是评估，所以实际放量时那个 80% 可能会更低。 再说一些我自己的前瞻市盈率计算： - 2027：大约 11-12.5 倍，2028 大约 7.8 倍，看起来非常有吸引力。 - 总现金：约 1000 万欧元，债务大约 300 万欧元。负债权益比：约 3.8% 资产负债表非常干净、轻资产，没有像 $SHMD 那样的稀释悬压。 市值约 3.62 亿美元，我的结论是：我认为上行空间很大，迟早会看到机构买入这个名字。 即便 80% 的玩家最终能设计出别的方案，只要有一部分转化，市值也会很有意义。 这可能几个月前还偏早，但玻璃核心路线图现在正像 CPO 一样加速。 披露：我确实有仓位。这只是我的想法。 X 上的人确实做了功课。
原推 ↗英文原文
People nonstop ask me about $LPKK / $LPK for my opinion Yes, I mentioned they're like a chokepoint for glass core substrates for LIDE (laser induced deep etching) way back when. Biggest known partner is $ONTO (LIDE with Onto metrology for glass core mass production). Then as for market share: "more than 80% of customers among major global players have selected LPKF equipment" for process validation. So that probably includes: - Samsung Electronics/Electro-Mechanics - $INTC (Receives a Major Order from a Leading Chip Manufacturer... installed a first LIDE system at the beginning of 2020... now ordered further LIDE systems to start volume production) - SKC (Absolics) - $GLW, AGC, Schott. - Nippon electric glass. Of course this is evaluation, so that 80% could be lower in actual ramp. As for some personal FWD P/E calculations: - 2027: ~11-12.5x and ~7.8x for 2028, which looks very compelling. - Total Cash: ~€10.0M, debt was around ~€3.0M. debt to equity: ~3.8% So very clean-asset light balance sheet, no dilution overhang like $SHMD. ~$362m MC, conclusion: great upside long imo, hard to see institutions not buying this name down the road. Even if the 80% of players managed to design another way, even a fraction would probably be very material to the MC. It was probably a bit early few months ago, but glass core roadmaps have been speeding up like CPO. Disclosure: I do have positions. This are just my thoughts. People on X did their homework.
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半导体这波太夸张
哇，如果你在那段伊朗波动里拿住了，从 $INTC 到 $MRVL，很多半导体名字都经历了改变人生级别的上涨。 很少有 1000 亿美元以上的大盘股能在一个月里涨 50% 到 70%。 你拿住了吗，匿名网友？ https://t.co/PAj6MmycqI
原推 ↗英文原文
Wow this was like a life-changing rally for many in semis from $INTC to $MRVL if you held through Iran volatility. Not often do large caps $100B+ move 50-70% in 1 month time. Did you hold anon? https://t.co/PAj6MmycqI
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强调 JBL 的规模会放大 SIVE 的影响。
@StormDirac 没错。$JBL 体量巨大，尤其是在它更早收购了 $INTC 的 SiPH 部门之后。 我真的不觉得市场已经意识到 $SIVE 接下来会发生什么。
原推 ↗英文原文
@StormDirac Exactly. $JBL is massive, especially after buying $INTC's SiPH division earlier. I genuinely don't think markets realize coming yet with $SIVE.
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博主列出30只看好的美股并简述理由，涵盖AI半导体、太空、机器人、加密等领域
今天随机列出30只美国可投资的股票以及我喜欢它们的理由： 1. $INTC——美国晶圆代工的希望，国家安全 2. $MRVL——未来的maia芯片和CPO等附加产品推动营收规模化，业务范围太多数不过来 3. $TSM——半导体/AI的支柱 4. $COHR——业务全垂直整合 + 捕获光学周期 5. $RKLB——太空领域的终极前沿，5年后和20年后都会存在 6. $DRAM——三星/SK海力士的内存敞口 7. $AVGO——超大规模云商不喜欢英伟达GPU税 8. $AMZN——没人能竞争得过隔夜送达卫生纸这件事。机器人技术会长期降低运营费用 9. $ARM——AGI CPU在未来十年会大幅提升营收 10. $TSEM——做光相关的东西你需要晶圆代工 11. $IBIT——比特币，这点我们现在已经众所周知了 12. $NBIS——我认为它是下一个AWS。此外它们还与优步合作做自动驾驶，拥有可扩展的数据库公司、数据标注业务。几乎像一个小谷歌。 13. $GOOGL——youtube不会消失，gemini很棒。它们通过TPU实现垂直整合，用运营收入资助基础设施建设，所以我看好它。 14. $AMKR——超级工厂将在2027-2028年末投产。受益于美国制造政策 15. $HOOD——短期我不喜欢，但长期我看好罗宾汉，因为他们抓住了散户 + 有更多产品如银行等正在规模化。产品创新很疯狂。 16. $CRCL——我恰好非常喜欢稳定币，并认为它们是支付和持有的未来（取决于澄清法案的进展） 17. $META——人们不会很快停止使用Instagram、Whatsapp或其他应用。 18. $LITE——$GOOGL TPU敞口在BOM中占比较高。只要谷歌的AI计划持续运行，我认为$LITE会表现良好。 19. $LPTH——锗和中国出口管制问题将持续存在，因此美国制造的工程替代品将始终重要。 20. $FN——总得有人来组装光学产品 21. $JBL——同上，但加上英特尔硅光业务的IP，可能会成为innolight那样的公司 22. $MP——美国稀土项目极其重要，类似于$INTC涉及的国家安全风险 23. $HIMS——听我说，他们刚收购了一堆公司，股价在$19时有全球DTC渠道。做空者非常讨厌这家公司，但我认为作为逆向多头它实际上很有前景。 24. $SMTC——LRO/LPO转型 25. $POWL——美国版hammond，用于开关设备DC类瓶颈的替代方案 26. $VPG——人形机器人未来会成为主流，大概2027-2028年，这家公司做传感器。 27. $MOG.A——感觉在机器人领域、spacex供应链里到处都能看到它们 28. $MSFT——在$375这个价位，有一天我们会回头看发现这是买入机会。 29. $CVX——战争结束后油价可能会崩，但这些石油公司将变得极其重要，尤其是委内瑞拉还是个金矿。 30. $XLU——我认为降息可能会重启，我们需要电力/电网来支持AI，所以从$CEG到$NEE这些名字将始终重要。 只是顺便抛出一些除了$AAOI和$AEHR之外的想法。
原推 ↗英文原文
Here's a bunch of random 30 US-available random stocks I like today and why: 1. $INTC - America's hope for foundry, national security 2. $MRVL - scales rev from future maia asics and add ons like cpo, they do everything lost count 3. $TSM - backbone of semis/ai 4. $COHR - They do everything vertically integrated + captures optical cycle 5. $RKLB - the final frontier of space will be around 5 years from now and 20 years from now. 6. $DRAM - memory exposure for samsung/sk hynix 7. $AVGO - hyperscalers dont like nvidia gpu tax 8. $AMZN - nobody can compete against the overnight shipping of toilet paper. robotics will lower opex over time 9. $ARM - AGI CPUs scale revenue quite a bit over the next decade 10. $TSEM - you're going to need a foundry for light based stuff 11. $IBIT - bitcoin, we all know by now 12. $NBIS - i think it's the next AWS. Also they do self-driving cars with uber, own scaling DB companies, data labeling. It's almost like a mini Google. 13. $GOOGL - youtube is not going away, gemini is great. they're vertically integrated with TPUs and fund buildout with operating income so i like it. 14. $AMKR - super facilities coming online in late 2027-2028. benefits from made in america 15. $HOOD - i dont like short term, but long term i'm a fan of Robinhood since they captured retail + have more products like banking, etc that they're scaling up. product innovation is wild. 16. $CRCL - I happen to really like stablecoins and see them as the future for both payments/holding (depends on clarity act) 17. $META - people aren't going to stop using instagram or whatsapp, or others anytime soon. 18. $LITE - $GOOGL TPU exposure decently high part of BOM. As long as Google's AI program keeps running I think $LITE will do well. 19. $LPTH - Germanium and China export controls will always be an issue so US made engineered alternatives will always be important 20. $FN - Someone needs to assemble optical stuff 21. $JBL - same as above, but added with ip from Intel's SiPh acqusition so might end up like innolight? 22. $MP - American rare earths program is extremely important, similar to $INTC national security risks 23. $HIMS - Okay here me out they just acquired a ton of companies, and at $19 they have global DTC channel. short sellers really hate this company, but I think it's actually promising as a contrarian long 24. $SMTC - LRO/LPO transition 25. $POWL - US alternative to hammond for switchgear DC type bottleneck 26. $VPG - Humanoids will be a thing down the road maybe 2027-2028, this makes the sensors. 27. $MOG.A - Feels like i see them everywhere in robotics, to spacex supply chains 28. $MSFT - At $375, one day we'll look back and see this as a buying opportunity. 29. $CVX - oil might crash after war but these oil companies are going to be extremely important, especially when Venezulea is a goldmine. 30. $XLU - i think rate cuts might be back online, we need power/grid for AI so these names will always be improtant from $CEG to $NEE Just throwing out other thoughts aside from $AAOI and $AEHR.
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建议在下一次回调中考虑更大市值的高增长半导体公司。
@NabQ321 问得好！$AAOI、$AEHR 是两只 beta 极高、增长极快的股票。 下一次回调时，也许可以看看 $COHR、$TSEM、$SMTC、$MRVL、$INTC 或 $FN 这些更大的公司？ 像 AOI 或 AEHR 这样的公司其实非常稀少。
原推 ↗英文原文
@NabQ321 Good question! $AAOI, $AEHR are two extremely high beta, fast growth stocks. Maybe some larger companies like $COHR, $TSEM, $SMTC, $MRVL, $INTC or $FN on the next drop? Companies like AOI or AEHR are pretty rare to come by.
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把 COHR 和 MRVL 视为“啥都做”的多头，认为未来一年仍有较大上行。
我觉得 $COHR 和 $MRVL 是那种“啥都做”的两只多头。 如果你当面问别人他们具体是干什么的，很多人其实说不出来。 $NVDA？GPU。 $INTC？代工。 Marvell？不知道。 Coherent？也不知道。 它们就是半导体界的 Deloitte。 这两只在未来一年都应该是不错的、还挺赚钱的多头。 也许不是 200% 的涨幅，但 50-100% 应该是合理的。
原推 ↗英文原文
I feel like $COHR and $MRVL are the two "They Do Everything" longs. That nobody actually knows what they do if you ask them in public. $NVDA? GPUs. $INTC? Foundry. Marvell? No clue. Coherent? No clue. They're the Deloitte of Semis. Both are really solid profitable longs over the next year. Probably not 200% gains but 50-100% seem reasonable here.
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分析$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 $AEHR. Could be next earnings. Or two quarters from now. But feels like a matter of time before we see mass orders.
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对比光通信供应链各玩家对CPO光源业务的直接敞口差异
当然，这更像是直接敞口与市值的对比。 光源环境如下： 头部玩家：Lumentum (550亿美元)、Broadcom (1万亿美元)、Coherent (550亿美元)、Sumitomo (规模庞大) 大型玩家：$AAOI (约80亿美元)、Furukawa (约70亿美元)、$MTSI (约190亿美元) 新兴玩家：$INTC (约2300亿美元+)、$SIVE (2.3亿美元)、Luxnet (17亿美元) 你可以买$AVGO来获得光子学敞口，但因为它规模太大……他们的其他业务部门可能会稀释敞口。 另一方面，如果你看$SIVE，由于规模很小，它几乎是CPO光源升级的纯概念股。 所以我最终选择了最直接的敞口。 很多人对市值(MC)感到不适，所以Furukawa、$MTSI、Sumitomo这类公司可能更受机构分析师青睐。
原推 ↗英文原文
Sure, it's more like direct exposure vs. marketcap. The light source environment looks like this: Leading players: Lumentum ($55B), Broadcom ($1T), Coherent ($55B), Sumitomo (massive) Large Players: $AAOI (~$8B), Furukawa (~$7B), $MTSI (~$19B) Emerging players: $INTC (~$230B+), $SIVE ($230M), Luxnet ($1.7B) You can buy $AVGO for photonics exposure, but because it's so large... their other segments will probably be diluting exposure. On the other hand, if you look at $SIVE, it's almost pure-play to the light source ramp for CPO because it's so small. So I ended up picking the most direct exposure. Lot of people are uncomfortable with MC, so companies like Furukawa, $MTSI, Sumitomo might be more popular with institutional analysts.
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Mirae分析师梳理CPO产业格局，作者认为遗漏上游公司但框架有参考价值
CPO产业格局 Mirae分析师笔记： 横向扩展： CPO ASIC：$AVGO、$MRVL 光收发器：$COHR、$LITE、Innolight DSP/PAM4：$AVGO、$MRVL 相干DCI：$CIEN、$NOK OCS设备：iPronics、Polatis 光缆/光纤：$GLW、Prysmian、Furukawa HCF：$LITE、OFS DCI相干：Ciena、Nokia、Huawei 光放大器：$LITE、$COHR OCS网关：KDDI 纵向扩展： SiPh代工：imec、$GFS、$TSM SiPh调制器：$NVDA（内部MRM）、$INTC ELS：NTT、Furukawa、$LITE、$COHR 太赫兹互联：研发阶段？ CPO测试：「新玩家不断进入」 微透镜/光学系统：「新玩家不断进入」 总结：纵向扩展的CPO即将到来。认为分析师笔记遗漏了一些上游公司名字，并将ELS与光源混为一谈。 但作为高层视角，能看到他们认为的领先玩家还是有参考价值的。
原推 ↗英文原文
CPO Landscape Mirae Analyst Note: Scale-Across: CPO ASIC: $AVGO, $MRVL Optical Transceiver: $COHR, $LITE, Innolight DSP/PAM4: $AVGO, $MRVL Coherent DCI: $CIEN, $NOK OCS Equipment: iPronics, Polatis Optical Cable / Fiber: $GLW, Prysmian, Furukawa HCF: $LITE, OFS DCI Coherent: Ciena, Nokia, Huawei Optical Amplifier: $LITE, $COHR OCS Gateway: KDDI Scale-Up: SiPh Foundry: imec, $GFS, $TSM SiPh Modulator: $NVDA (in-house MRM), $INTC ELS: NTT, Furukawa, $LITE, $COHR THz Interconnect: R&D Stage? CPO Test: "Expanding entry of new players" Micro Lens / Optical Systems: "Expanding entry of new players" TLDR: Scale Up CPO is coming next. Think the analyst note missed a bunch of upstream names and conflated ELS with light source. But it's helpful to see who they think the leading players are as a very high-level view.
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分享小账户分散化投资组合，涵盖AI半导体、光子学、机器人、加密等领域的高增长和杠铃策略标的
快速增长赛道： $AAOI - 光收发器2027年下半年收入增长10倍 $NBIS - 2026年第四季度收入增长10倍 $ARM - 全新AI CPU带来5倍收入增长 $MRVL - 来自$MSFT Maia芯片项目2-3倍收入增长 $AVGO - 长期持有超大规模云厂商ASIC $LITE - 长期持有OCS/谷歌TPU Win Semi - 对前沿行业的代工敞口 $TSEM - 长期持有光子业务，订单积压 SK Hynix - 存储业务敞口，极端营业利润增长 同时配置一些杠铃策略，远离超大规模云厂商资本支出（除亚马逊外）： $VNP - 长期持有西部供应链的稀土 $NEO (TCX) - 机器人供应链 $AMZN - 机器人/AI降低运营成本 $CRCL - 稳定币多头 $RDDT - 高得离谱的利润 $GLD - 安全对冲 $IBIT - 2028年减半 $CVX 看涨期权 - 石油对冲 也许还有长期配置（你知道迟早会来）： $INTC/$AMKR - 美国制造供应链 $SOI - 硅光子学/共封装光学(CPO)基板 $RKLB - 对太空行业的长期看涨期权 然后挑选一两支小盘股博暴涨： $SIVE - CW激光关键点或$I QE - Landmark重组重估，这是我最喜欢的两个 还有其他我提过的，比如$AEHR用于测试或$VPG用于Optimus 我自己在$AXTI等股票上的主动管理模式与其他人应该做的完全不同风险敞口配置。 在这种宏观环境下全仓投入高贝塔标的不太是最佳选择。
原推 ↗英文原文
Faster compounds: $AAOI - 10x revenue ramp from optical transcivers h2 2027 $NBIS - 10x revenue ramp Q4 2026 $ARM - 5x revenue growth from their new AI CPU $MRVL - 2-3x revenue growth from $MSFT Maia Ramp. $AVGO - Long hyperscaler ASIC $LITE - Long OCS / Google TPU Win Semi - Foundry exposure to frontier industries $TSEM - Long photonics, backlogged SK Hynix - Memory exposure, extreme operating income ramp With some barbell exposure away from Hyperscaler capex aside from Amazon: $VNP - Long term rare earths for Western Supply chains $NEO (TCX) - Robotics Supply chains $AMZN - Robotics/AI cutting opex $CRCL - Stablecoin long $RDDT - Ridiculously high profit $GLD - Safe Hedge $IBIT - Halving 2028 $CVX Calls - Oil Hedge And maybe long term (you know it's coming): $INTC / $AMKR- Made in America supply chains $SOI - Silicon Photonics / CPO substrates. $RKLB - Long term call on Space industry Then pick one or two small cap moonshots: $SIVE - CW Laser Chokepoints or $IQE for Landmark rerating on restructuring were my two favorites. There's others I've mentioned like $AEHR for testing or $VPG for Optimus. How I actively manage my own stuff from $AXTI and others is a lot different risk profile than what others should do. Going full port into high-beta in this macro environment is not the best idea.
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分享一个股票配置框架示例：分高增长股、moonshot、安全股、长期国家安全股四层配置
我个人不会仅投资一个行业以分散风险。我提到光子学如$AAOI是因为我认为它有最高的短期上涨空间。但像$NBIS这样的公司，正如Jensen准确所说的，会"照顾好你"的长期表现。也许可以找一些高增长long标的，例如：$ARM - 从新AI CPU获得5倍收入增长；$NBIS - 到第四季度实现7-9B ARR增长带来10倍收入增长；$AAOI - 从光收发器需求获得10倍收入增长；$MRVL - 从$MSFT Maia ASICs获得2-3倍收入增长。选择一两个moonshot：我提到$SIVE是我最喜欢的，但鉴于其规模小，我不会投入太多集中度。然后用一些"更安全的标的"进行杠铃配置：$AMZN长期看涨，即使通过机器人/AI削减运营成本，但其走势像蜗牛；$RDDT长期看涨，因为它利润极高且今天正在产生巨额自由现金流。也许还有一些"超长期玩家"具有深远的国家安全优势，例如：$INTC的"美国制造"；$AMKR的"美国制造"等。这只是一个虚构的例子。
原推 ↗英文原文
I would personally not just invest in one sector for diversification sake. I talk about photonics like $AAOI recently because I see it as highest short-term upside. But others like $NBIS as Jensen accurately said "will take care of you" long term. Maybe figure out high growth longs for example: $ARM - 5x revenue from new AI CPU $NBIS - 10x revenue to q4 $7-9B ARR ramp $AAOI - 10x revenue ramp from optical transceiver demand $MRVL - 2-3x revenue ramp from $MSFT Maia ASICs Pick one or two moonshots: I mentioned $SIVE as my favorite, but given it's small size, I wouldn't put too much concentration into them and then barbell with some "safer plays" $AMZN long term I'm bullish on even from robotics/AI cutting opex though it moves like a slug $RDDT long term I'm bullish on from on just because it's ridiculously high profit and generating massive FCF today. and maybe some "long, long term players" that have deep national security benefits eg: $INTC for Made in America $AMKR for Made in America, etc. Just a made up example.
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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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博主回顾从业经历，从Intel到Berkeley研究RISC-V，最终创办金融科技公司。
我现在经营一家金融科技公司。 不过我之前确实在半导体行业有一些零散的经历？ 我的第一份工作是在 $INTC，但我干了很短时间就辞职了。在UC Berkeley花了一两年时间从事RISC-V相关工作，比如RocketChip、安全飞区(secure enclaves)等。 曾在某个人工智能实验室担任研究员，所以勉强算是相关领域？ 做过各种零散的事情，比如$AMZN机器人、强化学习(RL)无人机仿真，或半导体创业公司……所以对我来说是四处漂泊，但从来无法朝九晚五。 积累的知识确实会叠加！
原推 ↗英文原文
I run a fintech company now. But I did have some random experiences here and there in semis? My first job was $INTC but I quit after a rlly short time. Spend a year or two working on RISC-V related stuff like RocketChip, secure enclaves etc. at UC Berkeley. Was a researcher at some AI Labs for a tiny bit so it’s kinda adjacent? Did a bunch of random stuff like $AMZN robotics RL drone simulation or semi startups… so kinda all over the place for me, but never could do a 9-5. The cumulative knowledge does add up!
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长期看多 INTC，认为政府会提供下行保护，但不会是短期暴涨股。
@AleMissakian 我长期看多 $INTC。 你有来自政府的下行保护，因为美国需要 Intel 成功。 如果你有耐心，它会是个很好的持有标的，当然它肯定不会是那种每个月涨 100-200% 的股票。 我最近也有点犯错，经常拿它做波段，而不是老老实实持有。
原推 ↗英文原文
@AleMissakian Long term bullish on $INTC. You have downside protection from the government, since America needs Intel to succeed. Great hold if you have the patience, won't be a 100-200% a month type stock for sure. I've been guilty of swing trading it recently instead of holding.
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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 $ARM moving forward as they pivot from licensing.
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Jabil采用$SIVE光源的1.6T可插拔模块填补了等待CPO的空窗期。
@lxjourney_ Jabil的1.6T光收发器(pluggables)使用$SIVE作为光源。 之前你必须等待CPO(共封装光学)方案，但现在有了一家最大的光子学厂商之一——继承了$INTC(英特尔)的部门，拥有超大规模云厂商(hyperscaler)终端用户，填补了等待的空窗期。
原推 ↗英文原文
@lxjourney_ Jabil 1.6T transceivers for pluggables using $SIVE as the light source. Before you had to wait for CPO but now you have one of the largest photonics players that inherited $INTC's division with hyperscaler end-users, bridging the waiting gap.
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更信 Elon 能造出类似 Terafab 的工厂，而不是 INTC 的传统路线。
老实说，我更相信 Elon 能造出像 Terafab 这样的晶圆厂，而不是 $INTC 现在这种传统路线。 这家伙都能把像 Starship 这种小山一样大的可回收火箭送上天。 对，$TSLA 按传统指标看是偏贵。 但 Tesla 不是一家传统公司，不该按传统方式估值。 这人知道怎么把事情做成（虽然会有延误），无论是人形机器人还是 FSD，更多只是时间问题。 公司和在 X 上发想法的人，都需要这种跳出框架的人。
原推 ↗英文原文
Honestly... I have more trust in Elon with building a foundry like Terafab. Then I do with $INTC with their merchant one? The guy literally made reusable rockets like Starship, the size of small mountains, go vroom vroom into Space. Yes, $TSLA looks overvalued by every conventional metric. But Tesla is not a conventional company and should not be valued as such. The guy knows how to get stuff done (with some delays), it’s more of a matter of time with humanoids or FSD. Need more out-of-the box thinkers like him both in running companies and sharing thoughts on X.
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转述一篇关于 TSM 与 INTC 的文章，提到台积电在光收发器制造上落后于英特尔。
@RenoHemonc 这是几年前的事了……出自一篇关于 $TSM 和 $INTC 的 SemiAnalysis 文章。 “TSMC 也参与了光收发器的制造，但它们的技术被认为落后于英特尔。” https://t.co/RYPfEFZ5rV
原推 ↗英文原文
@RenoHemonc This was a few years ago… from a semianalysis piece on $TSM vs $INTC “TSMC operates in manufacturing of both optical transceivers, but their technology is considered to be behind Intel’s” https://t.co/RYPfEFZ5rV
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吐槽英特尔把可插拔光收发器硅光业务低价卖给 Jabil，几年后却迎来光子周期。
$INTC 把自己的可插拔光收发器硅光子业务给卖了…… 2023 年时还低价卖给了 Jabil。 结果两三年后，光子行业却进入了超级周期。 这可能算是十年来最蠢的决定之一？ https://t.co/ITvaFR20Xq
原推 ↗英文原文
$INTC dumping its pluggable optical transceiver silicon photonics segment… At dirt cheap in 2023 to Jabil. When there’s now a photonics supercycle 2-3 years later. Was possibly, one of the dumbest moves of the decade? https://t.co/ITvaFR20Xq
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分析SIVE预收入仅$250M却或是超大规模数据中心未来光源，低估值蕴含巨大潜力。
今天关于 $SIVE 的一些想法，市值约 $250M： Sivers 是未来可能的共封装光学(CPO) + 激光阵列光源，为 $AMZN、$META 和 $MSFT 等超大规模数据中心提供动力。 以约 $250m 的市值... 从已确认的客户来看，估计映射如下： 1. Jabil ($JBL) LRO 光收发器（前身为 $INTC 的硅光子学业务）-> $AMZN、$META 及其他超大规模数据中心。 2. Ayar -> AIChip/GUC -> $AMZN 及其他超大规模数据中心。 3. Enablence -> O-Net -> 亚洲超大规模数据中心。 4. 以及其他未确认的客户。 人们一直在问关于今天波动性的无尽问题：如果一只股票能上涨 20%，它也能下跌 20%。 $AXTI 经常出现 +30%、-30% 这样的波动（例如财报 -30% 至 $20，现在在 $60）。 就像 AXT 一样，正如你所见，重要的是它有长期跑赢大盘的潜力。 这就是为什么在进入任何交易之前形成自己的信念很重要，这样你就不需要每天问我问题了，如果你自己做了这笔交易的话。 我个人持有长仓，我真的认为 Sivers 有潜力成为市值 $5B+ 的公司，尤其是获得 Win qualification 的话。 尤其是在今天一些分析师告诉人们卖出 $SIVE 获利之后： - 如果你看 $COHR、$LITE 和其他光源公司的估值，它们现在是 $40B+。 - $SIVE 预收入先进封装 counterparties 都是 $1B-$4B+。 - 而我们有 $SIVE 作为超大规模数据中心供应链的未来光源和 Jabil 光收发器： 市值约 $250M。 这只是我的个人意见，但将信念锚定在市值（$250M）——作为超大规模数据中心供应链的光源——比锚定在价格波动上更好... 尤其是当机构（约 14.1% 持有）能够通过震荡多数持股的股票来建仓时。 这就是为什么我早早分享了我关于 $AXTI 或 $SIVE 的想法，因为我相信散户投资者有可能抢先机构一步，抓住 AI 供应链中即将出现的瓶颈环节。 以及为什么我分享了 $SIVE 的超大规模数据中心供应链映射，这样人们可以基于未来光源增长形成自己的信念。
原推 ↗英文原文
My thoughts today on $SIVE, at a ~$250M MC: Sivers is the future likely CW + laser array light source powering hyperscalers from $AMZN, $META, and $MSFT. At ~$250m... From confirmed clients, est. mapping: 1. Jabil ( $JBL ) LRO Transceivers (Former SiPH $INTC) -> $AMZN, $META, and other Hyperscalers. 2. Ayar -> AIChip/GUC -> $AMZN and other hyperscalers. 3. Enablence -> O-Net -> Asian Hyperscalers 4. And other unconfirmed customers. People have been asking me endless questions about today's volatility: If a stock can go up 20% it can do up 20% too. $AXTI had those +30%, -30% movements all the time (eg. Earnings -30% to $20, now at $60). And like AXT as you've seen, what matters is it has the likely potential to outperform long term. That's why it's important to develop your own conviction before entering any trade, so you don't need to ask me questions every day if you take it yourself. I personally have a long position and I do think Sivers has the potential to be a $5B+ company with Win qualification. Especially amid some analysts post today telling people to take profits on $SIVE: - If you just look at $COHR, $LITE and other light source valuations today, they're $40B+. - $SIVE pre-revenue advanced packaging counterparties are all $1B-$4B+. - And we have $SIVE as the future light source for hyperscaler supply chains and Jabil transceivers: At ~$250M. Just my personal opinion, but it's better to anchor conviction to the marketcap ($250M) as the light source for hyperscaler supply chains, than price fluctuations... Especially when institutions (~14.1% owned) are able to to shake the tree of a majority owned stock to build a position. This is why I've shared my thoughts about $AXTI or $SIVE early since I think it's possible for retail investors to frontrun institutions for the up and coming chokepoints in AI supply chains. And why I've shared hyperscaler supply chain mapping for $SIVE so people can build their own conviction on future light-source growth.
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展示CPO/光子学ETF模拟仓YTD表现，等权重投资收益率50%，看好光子学长周期。
Serenity的Silicon Photonics / CPO ETF模拟仓。各成分股年初至今收益率：$IQE：+282.5%，$AXTI：+246.6%，Landmark：167.54%，$AAOI：+157.37%，$SIVE：+113.08%，$SOI：+103.54%，$LITE：+100.27%，$LWLG：+92.35%，$VIAV：+88.71%，$AIXA：+73.92%，$AEHR：+70.4%，$CIEN：+67.67%，$FORM：+60.67%，$FOCI：+60.44%，$CAMT：+49.13%，$GLW：+46.77%，$SMHN：+45.94%，Fujikura：+43.89%，$COHR：+41.81%，$KEYS：+40.48%，$TSEM：+36.42%，$ASX：+29.89%，$MTSI：+28.34%，$NOK：+27.5%，Shin-Etsu：+27.33%，$ONTO：+26.28%，$BESI：+24.71%，$UMC：+18.11%，$INTC：+17.27%，$OXINF：+15.03%，$FN：+12.79%，Eoptolink：+11.82%，$TSM：+6.00%，$HIMX：+5.39%，$SMTC：+4.11%，Sumitomo：+3.67%，$CSCO：+3.25%，Innolight：+0.33%，$MRVL：+0.16%，$APH：-6.48%，$MXL：-7.62%，$AVGO：-7.99%，$POET：-12.99%，$TEL：-14.93%。这是回顾性的，但你们知道我在很多赢家仓位已经持有一段时间了（例如前六/七名，除了Landmark外的$AXTI或$LITE）。但如果你好奇年初投资整个光子学趋势的话，等权重收益率是多少？50.033%。我预计光子学长周期(supercycle)将持续未来数年，这些名字中的许多将成为未来的大受益者。特别是随着共封装光学(CPO)被用于扩展AI部署。光子学是AI的新架构范式。
原推 ↗英文原文
The Serenity Silicon Photonics / CPO ETF. YTD Returns of Each Index Stock: $IQE: +282.5% $AXTI: +246.6% Landmark: 167.54% $AAOI: +157.37% $SIVE: +113.08% $SOI: +103.54% $LITE: +100.27% $LWLG: +92.35% $VIAV: +88.71% $AIXA: +73.92% $AEHR: +70.4% $CIEN: +67.67% $FORM: +60.67% $FOCI: +60.44% $CAMT: +49.13% $GLW: +46.77% $SMHN: +45.94% Fujikura: +43.89% $COHR: +41.81% $KEYS: +40.48% $TSEM: +36.42% $ASX: +29.89% $MTSI: +28.34% $NOK: +27.5% Shin-Etsu: +27.33% $ONTO: +26.28% $BESI: +24.71% $UMC: +18.11% $INTC: +17.27% $OXINF: 15.03% $FN: +12.79% Eoptolink: +11.82% $TSM: +6.00% $HIMX: +5.39% $SMTC: +4.11% Sumitomo: +3.67% $CSCO: +3.25% Innolight: +.33% $MRVL: +.16% $APH: -6.48% $MXL: -7.62% $AVGO: -7.99% $POET: -12.99% $TEL: -14.93% This is retrospectively, but as you've known I've been in a lot of the winners for awhile (eg. Top 6/7 like $AXTI or $LITE aside from Landmark). However, if you were curious if you invested in the photonics trend as a whole at the start of the year. The equal weighted return? 50.033% I expect the Photonic Supercycle to last over the next several years, and many of these names to be large beneficaries going forward. Especially as CPO is used to scale AI deployments. Photonics is the new architectural paradigm for AI.
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Sivers成为Jabil 1.6T光收发器激光光源供应商，是其在CPO/硅光子供应链中的重大突破。
Sivers <$SIVE/$SIVEF>为Jabil（270亿美元市值）<$JBL>的1.6T长距离光(LRO)收发器提供光源。 作为激光光源供应商。 这无疑是$SIVE（2.8亿美元市值）公司历史上——也是今天$NVDA GTC大会上——最大的新闻…… Jabil从$AMZN、$GOOGL和$META等终端用户那里带来约300亿美元以上的收入。 以及$NVDA、Arista、$AVGO和Cisco等OEM厂商。 尤其是在收购$INTC的硅光子(SiPh)光收发器业务后，他们在该领域已是一级供应商(Tier 1)。 Sivers为Jabil提供连续波分布反馈激光器(CW DFB laser)光源，应用于硅光子学(Silicon Photonics)和共封装光学(CPO)及超大规模云服务商供应链： 对于一家市值仅2.8亿美元的公司来说，这是难以置信的，而且他们是光子学领域我见过的最不知名却最具潜力的公司。 $NVDA GTC的消息只是进一步巩固了这一投资论点。 我认为他们真的有机会成为下一个$LITE。
原推 ↗英文原文
Sivers < $SIVE / $SIVEF > powering Jabil ($27B MC) < $JBL > 1.6T LRO transcivers. As the laser light source. Is by far the biggest news from $NVDA GTC for Sivers ($280M MC) today... in history. Jabil brings in about $30B+ revenue from end users like $AMZN, $GOOGL, and $META. As well as OEMs like $NVDA, Arista, $AVGO, and Cisco. Especially after acquiring $INTC SiPH optical transceiver business, they're Tier 1 in the space. Sivers powering Jabil as the CW DFB laser source for Silicon Photonics and CPO and hyperscaler supply chains: At a $280M MC is incredible, and they're one of the most unknown yet highest potential company I've seen in the photonics sector so far. And the news from $NVDA GTC just cemented this thesis further. I think they genuinely have a shot at becoming the next $LITE.
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发布CPO供应链全景图，预测明年CPO拐点，建议从EML瓶颈轮动至SiPh架构赢家。
即将发布的共封装光学(CPO)/硅光子学(Silicon Photonics)瓶颈速查表： $SIVE、Sumitomo、$LITE、$COHR、$AVGO、$MTSI、$AAOI - 光源（连续波分布式反馈激光器CW DFB Lasers） $TSEM、$GFS、$UMC、$TSM、$INTC - 硅光子学 foundry代工 $NOK、$CIEN、$CSCO、$COHR - DCO相干数字信号处理 $HIMX、FOCI (3363.TWO) - 微透镜+光纤阵列 $POET - 光学中介层(Optical Interposers) $SOI、$AXTI、Shin-Etsu - 衬底 $FN、$ASX、Innolight、Eoptolink - 光学封装与组装 $MTSI、$SMTC、$MRVL、$MXL - 模拟/混合信号集成电路 $LWLG - 投机性调制器材料 $GLW、$APH、$TEL、$FIT、Fujikura - 连接器和光纤 $FORM、$KEYS、$VIAV、$AEHR - 测试与测量 $BESI、$SMHN、$ONTO、$CAMT - 先进封装与混合键合(Hybrid Bonding) 其中许多是私营公司，如Lightmatter、Ayar、Ranovus等。 现在……每个人都在问……如何获利？ 如果你看CPO总可用市场(TAM)预测，它是一条直线上升，明年是CPO大规模部署的拐点。 阿尔法收益来自捕捉轮动： 从当前电吸收调制激光器(EML)瓶颈（$LITE、$COHR类型）到CPO的硅光子学/连续波分布式反馈激光器架构赢家。 最高上涨潜力的公司是那些不在当前周期内、但在下个周期内的公司。 $SOI、$SIVE或$AEHR就是完美例证。 搭乘当前可插拔(pluggable)瓶颈，如$AAOI。 但真正的阿尔法收益来自抢先机构布局下一波CPO瓶颈。 资本轮动不可避免。
原推 ↗英文原文
The upcoming CPO / Silicon Photonics Bottleneck Cheat Sheet: $SIVE, Sumitomo, $LITE, $COHR, $AVGO, $MTSI, $AAOI - Light Source (CW DFB Lasers) $TSEM, $GFS, $UMC, $TSM, $INTC - SiPh foundry $NOK, $CIEN, $CSCO, $COHR - DCO $HIMX, FOCI (3363.TWO) - Micro-lens + Fiber Arrays $POET - Optical Interposers $SOI, $AXTI, Shin-Etsu - Substrates $FN, $ASX, Innolight, Eoptolink - Optical Packaging and Assembly $MTSI, $SMTC, $MRVL, $MXL - Analog/Mixed-Signal ICs $LWLG - Speculative Modulator Materials. $GLW, $APH, $TEL, $FIT, Fujikura - Connectors and Fibers $FORM, $KEYS, $VIAV, $AEHR- Test & Measurement $BESI, $SMHN, $ONTO, $CAMT - Advanced Packaging & Hybrid Bonding Many are private companies from Lightmatter, Ayar, Ranovus and others. Now... Everyone is asking... How do you profit? If you look at the forecast for CPO TAM, it's a straight line up, and next year is inflection point for CPO mass deployment. The alpha is capturing the rotation: From the current EML bottlenecks ( $LITE, $COHR type) to SiPh / CW DFB architectural winners for CPO. Highest upside potential are the ones that aren't included in current cycles. But that are in the next. Companies like $SOI, $SIVE, or $AEHR are perfect examples. Ride the current pluggable bottleneck like $AAOI. But the alpha is frontrunning institutions with the next CPO bottleneck. The capital rotation is inevitable.
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光子学供应链严重供不应求，LITE等公司售罄至2027年，市场或未充分定价CPO等新增长点。
光子学是继内存之后的下一个瓶颈。 如果你还不信？ $LITE 首席执行官出来说了： "我们真正售罄直到2027年底。我们看不到尽头。" 这与$INTC 首席执行官说内存短缺"2028年前无法缓解"惊人地相似。 但不同的是……光子学作为AI的新架构范式才刚刚开始放量。 当前 EML 激光器 + 光收发器的瓶颈不可小觑。 超大规模云服务商正在抢购任何 EML 产能或光收发器，$AAOI、$LITE、$COHR 及其下游供应商能生产的他们全要。 首席执行官还重申："我们完全售罄。"该公司[$LITE]"远远、远远低于"客户需求量。 "Lumentum 表示其发货量低于需求约 25% 到 30%，且所有产能已通过长期协议完全分配至2027日历年度。" 如果光子学领域未来两年完全售罄、看不到尽头。 而且在价格上调之前。 在共封装光学(CPO)等增长引擎尚未开始放量之前。 市场可能还没有定价某些东西。
原推 ↗英文原文
Photonics is the next bottleneck after memory. If you're not convinced yet? $LITE CEO went out and said: "We're sold out really until the end of 2027. We see no end in sight." This is eerily similar to $INTC CEO saying "No Relief" on Memory Shortage Until 2028. But instead... Photonics has only started to ramp up as the new architectural paradigm of AI. The current EML laser + optical transceiver bottleneck cannot be understated. Hyperscalers are buying any EML capacity or optical transceiver, $AAOI, $LITE, $COHR, and downstream providers can make. The CEO also reiterated: "We are completely sold out." The company [ $LITE ] is "way, way under-shipping" what customers want. "Lumentum says it is under shipping demand by roughly 25% to 30%, and that all capacity is fully allocated under long-term agreements through calendar 2027" If the photonics sector is completely sold out for the next two years with no end in sight. Before there's been any price hiking. And before growth engines like CPO have even started to ramp up. There's probably something the markets haven't priced in yet.
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$SIVE是硅光子/CPO架构转变中的InP CW DFB激光器核心供应商，可能复制$LITE的估值扩张路径。
$SIVE今天已上涨+73.78%（市值2.31亿美元）。 市场正在对下一个潜在的 photonics 瓶颈进行信息综合定价。 如果我必须解释区别： Lumentum的一个激光源主要受益于当前的光学瓶颈。 而$SIVE的激光源则面向即将到来的CPO/硅光子学(SiPh)瓶颈。 Lumentum目前主要从$NVDA和超大规模云服务商那里获益，这些公司正在确保EML激光器的产能，用于当前的可插拔(optical transceiver)光收发器周期。 从当前的EML瓶颈可以看出，超大规模云服务商正在抢购任何800G/1.6T光收发器及上游产能，从： -$AAOI（内部供应） -$COHR、$LITE（EML激光器+设计）-> $FN（组装） -$COHR、$LITE（EML激光器）-> Innolight / Eoptolink 下一步是什么？ 硅光子学(Silicon Photonics)和共封装光学(Co-Packaged Optics,CPO)。 向CPO的架构转变需要大规模的高功率连续波(CW) DFB激光器阵列。 而这可能引发一次完全的、突然的需求量范式转变。 $SIVE受益于用于SiPh和CPO的磷化铟(InP) CW DFB激光器： 即将崛起的公司如： $AYAR、$POET使用$SIVE的激光器，但主要做先进封装(advanced packaging)。 然后它们向上输送给更大的公司如$MRVL Celestial（后者购买$POET的interposers）。 然而，如果你追溯到上游，光源是$SIVE。 CW DFB激光器是光引擎($SIVE)；硅光子学封装($POET等)是传输方式。 CPO规模尚未达到。但我们知道它即将到来。 正如从当前光收发器周期所见： -$LITE和$COHR的光源需求获得的估值远高于$FN等专注先进封装的公司。 市场一直在关注$POET，但错过了它们获取Starlight实际$ITE型光源的地方。 风险是存在的，包括与$LITE、$COHR、$AVGO等公司面临多源竞争。所以再次强调，请务必做自己的研究。 但我对此的反驳： Sivers足够早地为$POET、Ayar和其他公司定制激光器以满足规格要求——早在这两家公司变得流行之前（类似于$POET与$MRVL Celestial的类比）。 也存在产量风险： 但Win Semi认证的潜在成功可以抵消这一点。 为扩大产能而稀释股权的风险，对于每个早期阶段的公司来说始终存在。 我去年做过$LITE的研究，仍看好这只股票用于Google TPU ramp/光电路开关(OCS)。 但今年，我专注于： $SIVE，作为新一轮光子学架构转变的个人CW DFB激光器敞口。 我分享自己对捕捉从当前EML周期向即将到来的CW DFB/硅光子学周期轮动的思考。
原推 ↗英文原文
$SIVE is now up +73.78% today ($231M MC). As markets price in information synthesis of the next potential $LITE of photonics. If I had to explain the difference: One laser source in Lumentum primarily benefits from current optical bottlenecks. The other in $SIVE is for the upcoming CPO/Silicon Photonic bottleneck. Lumentum is largely benefiting right now from $NVDA and hyperscalers securing capacity of EML lasers for current pluggable optical transceivers cycles. As seen with the current EML bottleneck, hyperscalers are buying out any 800G/1.6T transceiver + upstream capacity from: - $AAOI (in-house) - $COHR, $LITE (EML lasers + design) -> $FN (assembly) - $COHR, $LITE (EML lasers) -> Innolight / Eoptolink What's next? Silicon Photonics and Co-Packaged Optics. The architectural shift to CPO requires massive arrays of high-power CW DFB lasers. And this would likely trigger a complete, sudden paradigm shift in volume demand. $SIVE benefits from InP CW DFB lasers for SiPh and CPO: The up and coming companies like: $AYAR, $POET source $SIVE lasers, but primarily do advanced packaging. Then they feed up to larger companies like $MRVL Celestial (that buy $POET's interposers). However, if you go upstream, the light source is $SIVE. CW DFB lasers are light engine ( $SIVE ); the silicon photonics package ( $POET and others) is how it gets transmitted. CPO scale is not there yet. But we know it's coming. And as seen with current optical transceiver cycles: - Light sources from $LITE and $COHR demand much higher valuations than companies like $FN that focus on advanced packaging. Markets have been focusing on $POET, but missed where they get the actual $LITE type light source for Starlight. The risks are present including facing multi-source competition with $LITE, $COHR, $AVGO, and others. So again, make sure to do your own research. But my argument against that: Sivers been early enough to tailor custom lasers to fit $POET, Ayar, and other specifications before they got popular (sort like the $POET to $MRVL Celestial analogy). There's volume risks as well: But the potential Win Semi qualification offsets that. Dilution risk to scale capacity, is always present with every early-stage company as well. I did my thesis on $LITE last year and still love the stock for Google TPU ramp/OCS. But this year, I'm focusing on: $SIVE, as my personal CW DFB laser exposure for the new photonics architectural shift. I’m sharing my own thoughts on capturing the rotation from the current EML cycle to the upcoming CW DFB/Silicon Photonics cycle.
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作者认为 $SIVE 作为 NVIDIA 硅光子/CPO 架构中的激光器瓶颈供应商，有望成为下一个 $LITE。
$SIVE 现在已上涨 50%+，市值达到 1.9 亿美元（约 18 亿瑞典克朗）。 然而，我真心相信这可能是硅光子学/共封装光学(CPO)领域的下一个 $LITE。 我持有该股票，因为我的个人牛市预期是市值 100 亿美元+。 因为 Sivers 处于由 $NVDA 主导的新一代光子架构的硅光子 CW DFB 激光器瓶颈位置。 这与 $COHR/$LITE 的 EML 激光器是当前光收发器瓶颈的情况类似。 他们已经是 Ayar、$POET（购买 $SIVE 激光器→先进封装进光学中介层）以及可能其他硅光子/CPO 玩家的激光供应商。 Win Semi 正在进行中的认证是最大的牛市因素之一，因为这使他们能够扩大产能。 时间会证明这个论点是否正确，但我个人认为这只股票被广泛忽视了。 这是我自己的个人论点，我不建议任何人跟随。 但如果你 DYOR（自己做研究），也许你会得出和我一样的结论：$SIVE 看起来是下一个 $LITE。 TLDR: InP 激光器是当前光子学的瓶颈，这从 $LITE 的估值可以看出。 $SIVE 看起来是即将到来的 CPO/硅光子学浪潮中的迷你 $LITE。 我个人在 $SIVE 建立了多头仓位，因为我相信他们是即将到来的由 $NVDA（借助 GTC 催化剂）推动的硅光子/CPO 架构变革的主要受益者之一。 对我来说，这个上行空间作为下一个可能的 $LITE 实在太诱人了。
原推 ↗英文原文
$SIVE is now up 50%+, to a $190 million USD MC (~1.8B SEK -> USD). However, I genuinely believe this could be the next $LITE for silicon photonics/CPO. And I’m holding shares, as my personal bull case scenario is $10 billion+. As Sivers sits in the silicon photonics CW DFB laser bottleneck of the next gen photonic architectures spearheaded by $NVDA. This is compared to how $COHR / $LITE EML lasers are the current optical transceiver bottleneck. They’re already the laser supplier to Ayar, $POET (buys $SIVE lasers -> advanced packaging into optical interposers), and likely other silicon photonics/cpo players The Win semi ongoing qualification is one of the biggest bull cases, as this allows them to scale up capacity. Time will tell if this thesis turns out to be correct but I personally think this name is widely undiscovered. This is my own personal thesis and I’m not recommending anyone to tag along. But if you DYOR, maybe you’ll come to the same conclusion I did that $SIVE looks like the next $LITE.
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作者认为$SIVE是CPO时代的迷你$LITE，当前$140M估值严重低估，上涨空间巨大。
我做多$SIVE，成本$140M。 我认为这是下一个被市场和机构忽视的$LITE。 $SIVE生产磷化铟(InP) CW DFB激光器。 最接近的类比是当前EML激光器瓶颈中的$LITE。 但不是向Innolight/Eoptolink供应当前光模块的光源。 他们向$POET Starlight、Ayar SuperNova供应激光器。 以及为$NVDA主导的未来CPO/硅光子(silicon photonics)架构中的其他厂商供货。 就我个人而言，当前估值完全没有道理。 $POET是$SIVE这类激光器的先进封装...但$POET的估值是其激光器制造商本身的11倍多？ 这感觉就像把一个更先进的$FN（估值约$200亿）封测厂定价为$4000亿，而$LITE的估值才$400亿。 所以现在$130M的情况下： - 你拥有一个类似迷你$LITE的激光器供应商，通过$POET向Marvell Celestial + 超大规模云厂商供货。 - 向Ayar（$NVDA、$INTC）供应激光器，虽然他们也与$LITE、住友、$MTSI等多源采购。 以及其他潜在的新兴供应商，比如他们曾在财报中提及的Lightmatter（如2023年Q2财报）。这点未经证实，但供应链BOM是保密的。 此外，就收入而言，他们预计“未来几年”管道收入$453M。 而且，他们通过WIN（Win Semi）进行产能扩张：“Win Semi foundry正在认证中，为Sivers的激光器设计进行批量生产。” Sivers感觉就像是硅光子/CPO时代的$LITE，拥有Celestial（通过$POET）、Ayar等实际快速增长客户，未来还会有更多。 去年我可能不会喜欢它，但就在3周前，他们成功将所有债务再融资为$12M可转换贷款（10.85%）和$5M定期贷款（12%），理清了债务。 总计$17M，这在美股市场感觉不算什么，而$AAOI每隔一周就在做$5亿ATM增发。 最重要的是，这是他们面向硅光子/光子的纯正InP激光器业务。 他们的激光雷达(Lidar)业务正在爬坡，预计产生$53-138M的收入。 下行风险： - 执行力（老生常谈） - 为扩大产能与$LITE等竞争而导致的稀释 - $NVDA刚给他们$40亿后，$LITE、$COHR在规模上的竞争 - CPO上量延迟 我完全不明白，$LWLG这家零收入的概念股与$TSEM在一起，估值怎会达到$10亿以上。 也不明白$POET怎会比他激光器供应商的价值高出约9-10倍。 而$SIVE，作为CPO/硅光子的迷你$LITE等价物，估值才$140M。 我确实认为这在机构中基本未被发掘，因为这是一家OMX Nordic交易所的不知名公司（类似于我在开始发布关于InP衬底瓶颈之前的小市值$AXTI）。 但我确实认为，随着Celestial和Ayar规模扩大，他们会获得很多机构关注。 特别是如果$POET和$SIVE获得其他客户认证的话。 如果CPO在未来超大规模云厂商架构中完全取代可插拔光模块。 Sivers，如果通过WIN Semi认证并成为NVIDIA、Marvell、Intel和Broadcom架构的多元采购激光器供应商，就可能被大幅重新定价。 就像$LITE今天从$16涨到$622一样。 这只是我分享的个人逻辑，DYOR/NFI（非投资建议）。 TLDR： InP激光器是光子学中当前的瓶颈，从$LITE的估值可见一斑。 $SIVE看起来像是即将到来的CPO/硅光子爬坡中的迷你$LITE。 我个人在$SIVE建了多头，因为我认为他们是$NVDA即将到来的硅光子/CPO架构变革（加上GTC催化剂）的主要受益者。 对我来说，这里的上涨空间作为下一个可能的$LITE实在太过诱人了。
原推 ↗英文原文
I’m long $SIVE at $140M. I believe this is the next $LITE that markets and institutions missed. $SIVE makes InP CW DFB lasers. Closest comparison is $LITE in the current EML laser bottleneck. But instead of supplying to Innolight/Eoptolink for current optical transceivers cycles. They supply the lasers to $POET Starlight, Ayar SuperNova. And others for the future CPO/silicon photonics architectures spearheaded by $NVDA. Current valuations make 0 sense to me personally. $POET is advanced packaging for $SIVE type lasers… But $POET commands worth 11x+ more than the company making the laser itself? It’s feels like valuing a more advanced $FN (~$20B) packaging at $400B when $LITE is valued at $40B. So now at $130m: - - You have a likely mini $LITE like laser supplier to Marvell Celestial + hyperscalers through $POET. - Laser supplier to Ayar ( $NVDA, $INTC ), though they do multi source with $LITE, Sumitomo, $MTSI. And other potential up and coming suppliers potentially like Lightmatter that they’ve name dropped (eg. Q2 2023 earnings). This is unconfirmed but supply chain BOM is confidential. On top, for revenue, they expected $453M "pipeline next few years”. And, they have capacity expansion through WIN: “Win Semi foundry qualification in progress for volume production from Laser designs from Sivers." Sivers feels the silicon photonics/CPO version of $LITE, with actual rapidly growing customers like Celestial through $POET, Ayar, with more to come. I wouldn’t have liked it last year, but just 3 weeks ago, they refinanced all their debt successfully to $12M convertible loan (10.85%) and a $5M term loan (12%), which cleans up debt. It’s $17m total, which feels like nothing to US markets when $AAOI is doing a $500m ATMs every other week. Best of all, this is their pure play inp laser segment for silicon/photonics + cpo. Their Lidar segment is ramping up and they have $53-138M projected revenue coming in. Downside risk: - execution (as always) - dilution to scale up capacity to compete with $LITE and others. - $LITE, $COHR competition on scale after $NVDA just gave them $4B - CPO ramp gets delayed. I have no clue how, $LWLG, a pre-revenue science project with $TSEM, is valued at $1B+ MC. Or how $POET, is worth ~9-10x more than its laser supplier. When $SIVE, the mini $LITE equivalent for CPO/Silicon photonics, is valued at $140M. I do believe this is largely undiscovered by institutions, since this is some random company in OMX Nordic Exchange (similar to micro $AXTI before I started posting about the inp substrate bottleneck). But I do think it will get a lot of institutional attention as Celestial and Ayar scale up. Especially if $POET and $SIVE gets qualified with other customers. If CPO completely replaces pluggable transceivers in the next generation of hyperscaler architectures. Sivers, with possible WIN Semi qualifcation and if they become the multi-source lasers for NVIDIA, Marvell, Intel, and Broadcom architectures, can be strongly rerated. Just as how $LITE did today going from $16 -> $622. This is just my personal thesis I'm sharing, DYOR/NFI. TLDR: InP Lasers are the current bottleneck in photonics as seen with $LITE valuations. $SIVE looks like the mini $LITE for the upcoming CPO/Silicon Photonics ramp. I personally took long position in $SIVE, as I believe they’re a large beneficiary of the upcoming silicon photonic/CPO architectural changes by $NVDA (with GTC cataylst). The upside here just way too compelling for me personally as the next possible $LITE.
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列出 AI Displacement 等权组合年初至今回报，认为自己无意中做出了一个很强的 ETF。
我看了一下书签数量，才意识到： 我低调地搞出了一个很能打的 ETF？ AI Displacement 等权组合年初至今： $AXTI：+191.53% $AAOI：+144.47% $SNDK：+140.38% $SOI：+114.3% $LITE：+61.22% $AEHR：+60.97% $BE：+56.56% $VRT：+47.42% Samsung：+42.8% $TER：+37.99% $MU：+35.1% SK 海力士：+34.42% $NBIS：+25.57% $COHR：+24.92% Mediatek：+17.01% $INTC：+16.23% $ASML：+15.63% Advantest：+11.78% $TSM：+5.85% $COPX：+4.56% $TSEM：+2.44% $MRVL：-1.71% $NVDA：-4.55% $AVGO：-7.32% 这只是我脑子里第一时间想到的名字。 我个人持有其中很多，也没持有另外一些，比如 $NVDA 或 $BE，但我还是把它们放进来了。 不过老实说，如果我现在不是在主动管理仓位集中度，我会很愿意把这些名字等权配置。 我预计 AI Displacement ETF 还会继续上涨： 因为这些公司都是人工智能扩展算力和推理最主要的受益者。
原推 ↗英文原文
I realized by the amount of bookmarks. I lowkey dropped a banger ETF? AI Displacement Equal Weighted YTD: $AXTI: +191.53% $AAOI: +144.47% $SNDK: +140.38% $SOI: +114.3% $LITE: +61.22% $AEHR: +60.97% $BE: +56.56% $VRT: +47.42% Samsung: +42.8% $TER: +37.99% $MU: +35.1% Sk Hynix: +34.42% $NBIS: +25.57% $COHR: +24.92% Mediatek: +17.01% $INTC: +16.23% $ASML: +15.63% Advantest: +11.78% $TSM: +5.85% $COPX: +4.56% $TSEM: +2.44% $MRVL: -1.71% $NVDA: -4.55% $AVGO: -7.32% These are just the first names that came to my head. I own a lot of these personally (and don't own others like $NVDA or $BE ) but included them anyway. But honestly, I'd be happy to equal weight all these names if I weren't actively managing my portfolio concentrations. I expect the AI Displacement ETF to keep rising: As they're the largest beneficiaries of scaling compute and inference for artificial intelligence.
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认为 AI 已引发不可逆的岗位替代，投资相关基础设施和瓶颈是对冲失业冲击的主要方式。
这个消息真的很令人心碎： $META 裁员 20% $ORCL 裁员 $AMZN 长期将有 60 万名工人被机器人和 AI 取代。 这是一种反乌托邦未来。 企业在没有人工劳动成本的情况下，仍然能赚创纪录的利润。 唯一能从中受益的办法： 把 AI 当成对冲工具去投资。 未来几年，想逃离 AI 造成的永久底层阶级，感觉最主要的办法就是这样。 AI 产生的股东权益回报，将流向股东。 而那些没投资股票、只能靠工资过活的人之间的差距会继续拉大。 这不是未来，而是已经在发生。 - Opus 4.6 已经足够替代今天大多数软件工程师。 - Waymo 已经开始在旧金山这样的地方替代出租车司机。 - 我们知道 $TSLA 的人形机器人也快来了，因为它们在中国已经普及。 这件事现在就在发生。 伊朗的扰动只是 AI 建设加速过程中的短期事件。 AI 已经到达拐点，而且似乎不可避免。 你已经看到美国就业修正接近减少 100 万，这非常惊人。 而且我们正在看到，新一代 LLM 正在由它们前一代模型自己构建，AI 正在逼近奇点（AI 递归增长）。 如果你要投资那些运行 AI 所需的算力和硬件： 数据中心 / 电力 / 电网板块： $NBIS、$XLU、$VRT、$BE 光子板块，负责扩展 AI： $LITE、$COHR、$AAOI、$TSEM 半导体板块，负责芯片： $NVDA、$TSM、$ASML、$INTC 存储板块，负责芯片： $MU、$SNDK、SK 海力士、三星 ASIC，负责超大规模云 AI 推理： $AVGO、$MRVL、Mediatek 良率 / 测试板块，确保芯片能工作： $TER、$AEHR、Advantest 以及 AI 所需的原材料或基板： $AXTI、$COPX、$SOI 还有很多其他公司，都在成为对抗大规模 AI 失业的单一、最大对冲工具。 谁掌握了算力的生产资料（瓶颈、材料、数据中心）： 谁就掌握了 AI 的未来。
原推 ↗英文原文
The news is pretty heartbreaking: $META 20% layoffs $ORCL layoffs $AMZN 600,000 workers long term layoffs as they get replaced by robotics and AI. This is a dystopian future. Companies end up with record profits, without the cost of human labor. The only way to benefit: Investing in AI as a hedge. The next few years feels like the main way to escape the permanent underclass, caused by AI displacement. The return on equity derived from AI will go to the shareholders. While the gap between those who live paycheck to paycheck, not invested in stocks. Will continue to grow. This is not the future. - Opus 4.6 is good enough to replace most software engineers today. - Waymo has started to replace taxi drivers in places like SF today. - We know $TSLA Humanoids are coming next as they’re widespread in China, today. This is happening now. Disruptions in Iran are only temporary to the accelerating AI buildout. AI has hit the inflection point, and looks inevitable. You’re already seeing US job revisions down close to 1 Million, which is staggering. And we’re seeing the newest LLMs be built by their previous models, as AI approaches the singularity (AI led recursive growth). Investing in where the compute and hardware needed to run the AI: From the datacenter/power/grid sector: $NBIS, $XLU, $VRT, $BE Photonics sector needed to scale AI: $LITE, $COHR, $AAOI, $TSEM Semi sector needed for the chips: $NVDA, $TSM, $ASML, $INTC Memory sector for the chips: $MU, $SNDK, SK Hynix, Samsung ASICs for hyperscaler AI inference: $AVGO, $MRVL, Mediatek Yields sector to make sure the chips work: $TER, $AEHR, Advantest Along with the raw materials or substrates needed for AI: $AXTI, $COPX, $SOI And many others become the single, largest, hedge against widespread AI displacement. Whoever owns the means of compute (bottlenecks, materials, datacenters): Owns the future of AI.
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看好内存价格和相关公司利润率
Counterpoint 的内存价格研究： “没有任何情景会让内存价格在 2027 年下半年回调，因为超大规模云厂商的采购意愿依然没有松动。” 这说的是 $SNDK、$MU、$EWY（SK 海力士、三星）以及其他内存公司。 他们指出： 三星、SK 海力士、美光、长鑫存储和南亚科的 DRAM 产量预计今年增长 26%，NAND 增长 24%。 但超大规模云厂商的需求在可预见的未来大概率会远超供给。 这和 $INTC CEO 说的“内存短缺要到 2028 年才会缓解”很像。 而且 NAND 价格在一季度已经上涨了 100%+，三星二季度还在继续上调 NAND 价格。 DRAM 价格也在不断提价。 内存厂商运营利润率的爆发式提升，可能会压过任何宏观因素。
原推 ↗英文原文
Memory Price Market Research from Counterpoint: "There is no scenario where memory prices correct in the second half [of 2027], given that hyperscaler purchasing intent remains unbroken" In regards to $SNDK, $MU, $EWY (Sk Hynix, Samsung), and other memory names. They commented: DRAM output from Samsung, SK Hynix, Micron, CXMT, and Nanya is forecast to grow 26% this year, with NAND up 24%. But hyperscaler demand will likely far outstrip supply for the foreseeable future. This mirrors $INTC CEO's comments about "No Relief on Memory Shortage Until 2028". With NAND prices Q1 increasing 100% + Samsung hiking NAND prices Q2. And DRAM prices going through constant price hikes. The explosive increase in operating margins from memory makers across the board are poised to outweigh any macro.
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博主预告将发布后续帖子，指出提及的几只股票短期内不会消失。
@MontSalvatUSA @daniel_koss 我会就此发布后续帖子，像 $INTC、$COHR、$RDDT、$IBIT 和 $RKLB 这类东西在短期内不会消失。
原推 ↗英文原文
@MontSalvatUSA @daniel_koss I’ll make a follow up post on this, stuff like $INTC, $COHR, $RDDT, $IBIT, and $RKLB are not going away anytime soon.
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列举AI半导体供应链各环节代表公司及代码
@jahintanvir_ 大概包括这些： 内存 - $MU, 三星, SK海力士, 闪迪 晶圆代工, 封装 - $INTC, $TSM, $AMKR 光子学(Photonics) - $LITE, $COHR, $AAOI 专用集成电路(ASICs) - $AVGO, $MRVL 连接 - $ALAB, $CRDO 电力/电网 - $XLU 数据中心 - $NBIS, $CIFR, $WULF
原推 ↗英文原文
@jahintanvir_ Probably the likes of these: Memory - $MU, Samsung, SK Hynix, Sandisk Foundries, Packaging- $INTC, $TSM, $AMKR Photonics - $LITE, $COHR, $AAOI ASICs - $AVGO, $MRVL Connectivity - $ALAB, $CRDO Power/Grid- $XLU Datacenters - $NBIS, $CIFR, $WULF
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看好$AAOI十倍增长潜力，视其为光子学核心持仓。
$AAOI 对我来说感觉是必须配置的共封装光学(CPO)敞口。 他们的财报简直像黑魔法一样神奇。 $LITE（市值500亿美元）：2026财年预估营收约29.1亿美元 $AAOI（市值56亿美元）2027年下半年：43.5亿美元年度经常性收入(ARR)。 他们的增长预测在2026年实际上已经超越了 $LITE。 我没开玩笑。 $AAOI 的毛利率约为40%，$LITE 凭借光电路交换(OCS)垄断地位可能达到45%。 “长期毛利率目标约为40%。” 别误会，$LITE 是一只极佳的长线股，因为其在 $GOOGL TPU 和 Google 资本支出中占据8-12%的物料清单(BOM)份额... 但 $AAOI 的营收顶层增长接近去年营收的10倍，这简直不可思议。 如果你用草稿纸数学模型计算： “管理层预测，到2027年第二季度，每月光收发器营收潜力达3.78亿美元” ~ 43亿美元目标，40%毛利率（自产），17.2亿美元毛利润，也许~6亿美元资本支出/运营支出： 净利润 ~8.96亿美元。 远期市盈率（基于2027年净利润）：~6.4倍远期市盈率，对应约900%的同比增长。 而且如果你看光子学产能爬坡，预计向2030年呈指数级增长。 从他们的管理层电话会议来看，超大规模云服务商（$GOOGL, $MSFT, $AMZN）很可能买断了所有可用的光收发器产能。 这让我想起早期的 $ALAB 或 $CRDO，所有超大规模云服务商都是他们的客户。 如果你考虑到像 $SNDK 的NAND闪存那样的价格涨幅： +15% 平均售价(ASP)涨幅：14.1亿美元净利润 - （4.1倍远期市盈率） +30% 平均售价(ASP)涨幅：19.2亿美元净利润 - （3.0倍远期市盈率） 这就是为什么我在 $AAOI 财报后如此兴奋。 甚至还没包括 $AAOI “美国制造”的光收发器供应链，这将使他们获得相对于 $FN、中际旭创(Innolight)、易普联(Eptolink)等海外厂商的溢价。 有点像 $INTC 对 $TSM 或 $MU 对 SK海力士的溢价。 如果他们的预测成真，且价格涨幅使光子学板块在800%+增长下达到3倍市盈率，回报率将是天文数字。 再次强调，这些是管理层预测，执行力才是关键。 无论如何，我将 $AAOI 作为我最大的光子学持仓之一，因为这看起来像黑魔法，也是下一个 $SNDK 的开端。 如果他们能实现预测，非零概率是我们在一年半后看到其达到 $LITE 500亿美元的估值。
原推 ↗英文原文
$AAOI feels like must-have photonics exposure to me. Their earnings report is genuinely black magic. $LITE ($50B MC): FY 2026 est. ~$2.91B $AAOI ($5.6B MC) H2 2027: $4.35B ARR. Their growth projections literally leapfrogged $LITE for 2026. Not even kidding. Gross margins are ~40% for $AAOI, maybe 45% for $LITE with OCS monopoly. "-term objective of gross margins to around 40%," Don't get me wrong, $LITE is an amazing long due to 8-12% BOM of $GOOGL TPU and Google capex spend... But $AAOI top line growth for revenue is close to 10X revenue growth from last year's revenue, which is just insane. And if you go off napkin math modeling: "By Q2 2027, management forecasts monthly transceiver revenue potential of $378 million" ~ $4.30B target, 40% margin (in-house), $1.72B gross profit, maybe ~$600m capex/opex: Net income ~$896M. Forward P/E (on 2027 NI): ~6.4x forward p/e off ~900%-ish Y/Y growth. And if you look at photonics ramp, it's expected to increase exponentially toward 2030. From their management call hyperscalers likely ( $GOOGL, $MSFT, $AMZN ) are buying out all available capacity for transceivers. Reminds me of a early $ALAB or $CRDO where all the hyperscalers are their customers. And if you get to likely price hikes like NAND for $SNDK: +15% ASP Price Hike: $1.41B net income - (4.1x forward p/e) +30% ASP Price Hike: $1.92B net income - (3.0x forward p/e) This is why I got so excited about $AAOI post-earnings. Not even including $AAOI "Made in America" transceiver supply chains that would give them a premium where $FN, Innolight, Eptolink, and others do theirs abroad. Kinda like $INTC to $TSM or $MU to SK Hynix premiums. The ROI for this is just astronomical if they hit their projections and price hikes give them a 3 p/e rate off 800%+ growth in photonics segments. Again, these are management projections, execution is the biggest the name of the game. Regardless, I'm making $AAOI one of my largest photonics positions because this looks like black magic and the beginning of the next $SNDK. There's a nonzero chance we might see this at a $50B $LITE valuation one and a half year from now if they can execute on their projections.
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$AAOI若达预期市值或达250-300亿，核心持仓但存执行风险。
财报后，如果$AAOI 达成预期，明年市值有望从$50亿轻松跃升至$250亿-$300亿。它是少数“美国制造”（德克萨斯州Sugarland）的公司，对比竞争对手：$LITE（全球）、$COHR（全球）、$FN（泰国）、$AVGO（全球）、中际旭创（中国）和易飞扬（中国）。因此它可能像$INTC对比$TSM、$MU对比SK海力士那样获得“美国溢价”。但看营收：FY营收4.56亿美元，2027年ARR预计45.36亿美元（~900%+增长）。加上30%-40%的低端利润率预期及超大规模云厂商认证，这太疯狂了。虽有$2.5亿ATM增发，但相比预期只是九牛一毛。这部分极有趣：管理层称800G、1.6T模块的需求和产能到2027年中可能激增近10倍。这对$IQE、Landmark等外延晶圆(epiwafer)公司及更上游的$AXTI也是巨大顺风。$AAOI是2026-2027年的核心持仓，但始终存在交付执行的風險。$250-300亿市值预期听起来超现实，但如果达成$43.5亿ARR（900%+增长），光电子规模化在2028-2029年可能继续扩大，财报确实惊人。
原推 ↗英文原文
After earnings, $AAOI could easily be a $25B-$30B company next year from $5B if they hit their projections. And they're one of the only "Made in America" (Sugarland, Texas) companies out of - $LITE (global) - $COHR (global) - $FN (Thai) - $AVGO (global) - Innolight (China), and Eoptolink (China). So they likely get that "America" premium like $INTC compared to $TSM and $MU compared to Sk Hynix. But from revenue: FY Revenue: $456 million 2027 ARR by : $4.536B (~900%+ growth). Off high 30's - low 40% projected margins + hyperscaler qualifications. This is wild. But there was a $250M ATM, but that's typically pennies compared to the projection. This part is extremely interesting: -> Management stated that demand and capacity for 800G, 1.6T modules could surge nearly 10x by mid-2027. This is also a large tailwind for epiwafer companies too like $IQE and Landmark and more upstream like $AXTI. $AAOI is a core hold over 2026-2027, but there's always execution risks if they can deliver. $25-30B MC projections sound surreal but that's how wild the earnings was if they hit $4.35B ARR, off 900%+ growth (and photonics scale up is likely to continue even further into 2028-2029)
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深度解析$IQE：通过出售台湾业务去债，转型InP光子学产能，类比矿企转AI。
深入解析 $IQE（市值1.79亿美元）： IQE隐藏的磷化铟(InP)期权价值 vs LandMark 35亿美元的估值。以及 $IREN / $CRWV 等“矿企”向光子学(Potonics)转型的逻辑： 此前我做过一个高层级的“淋浴思考”概览，例如 $AXTI -> $IQE -> $LITE -> $GOOGL TPUs，但这次是更深入的尽职调查(DD)。 基本上：IQE是全球最大的独立商用化合物半导体外延晶圆代工厂，按反应炉数量和物理产能计算。 然而，由于受困于低毛利的传统无线业务和短期流动性约束，其估值处于困境状态。 LandMark Optoelectronics (TPEX: 3081) 是最接近的对比标的。作为800G和1.6T光互连市场中AI InP需求的纯代理标的，LandMark市值约38亿美元，相比市值1.75亿美元的 $IQE 享有巨大溢价。 但如果深入看底层硬件，这种脱节非常有趣： LandMark的运营规模在物理上受限。据估计，他们在台湾单一校区仅运营约27-30台金属有机化学气相沉积(MOCVD)反应炉。 相比之下，IQE在全球拥有超过100台MOCVD和分子束外延(MBE)系统。 IQE光子学资产基础的潜在重置价值和结构性产能似乎远超其当前公开市场估值。 这有点像比特币矿企拥有3GW产能 vs 750MW产能，如果进行转换，前者有巨大的变现期权价值。 我们也看到了光模块瓶颈： -> 下游对光收发器(Optical Transceivers)的需求正在以前所未有的速度加速。 -> 来自 $GOOGL、$MSFT、$AMZN 等的极端需求直接向上游硬件供应链传导。 这给Innolight等光模块集成商、$COHR、$LITE 和 $AVGO 等光组件制造商，以及最终为 foundational 激光芯片生长原始外延晶圆的商用外延代工厂带来了巨大压力。 由于其他玩家触及物理产能天花板，像 $COHR 这样的垂直整合玩家已满载，超大规模云厂商和模块制造商迫切需要在 $IQE 这样的玩家中寻找替代产能。 而且... 隐藏在IQE合并报表之下的是大量的 Aixtron AIX 2800G4-TM 反应炉。 这些反应炉原生具备双能力(GaAs/InP)，可以以相对较低的成本（每台50万-150万美元）重新用于InP生产，但需要数月或一年时间来重构。当然，执行层面增加了资格认证和良率风险（类似于比特币矿企对GPU进行软件编排，如 $CRWV）。 但无论如何，IQE拥有类似 $IREN 或转型HPC的比特币矿企那样的产能。而LandMark证明了纯代理标的带来的估值溢价。 核心问题.. 释放被困价值： 虽然IQE的营收远高于LandMark，但由于4500万英镑的总债务，其股价（1.75亿美元市值）被定价为破产边缘。 但对超大规模云厂商来说，这笔债务微不足道： 其正在进行的由Lazard指导的战略审查的明确目标是：最终完成IQE台湾（传统GaAs无线业务）的出售，并利用所得资金彻底且永久地消除母公司的限制性债务结构。 再次强调，其可转换贷款票据面值2120万英镑，公司实收1800万英镑。净债务为2350万英镑。 -> 需要立即清除的债务负担：2350万英镑汇丰设施 + 2120万英镑CLN = 约4500万英镑。 假设IQE台湾单元以1亿至1.5亿英镑的高价出售（不保证），IQE在完全无债后将获得5000万至1亿英镑的盈余现金。 然而，射频GaAs目前并不“热门”，因此在困境资产出售中可能仅值5000万至6000万英镑，这足以清偿债务，但缓冲空间很小。 地缘政治转向： 一旦无债，IQE可以将其在北卡罗来纳州和威尔士等地大量闲置的制造产能转向数据中心InP外延晶圆市场。 这为光子学中最关键的瓶颈创造了一条完全资本化、纯西方的供应链，在美国和英国高度重视国内半导体基础设施之际，减少了对亚洲的依赖。 基本上，鉴于 $IQE 拥有的原始资产数量： -> 成功出售台湾业务将消除持续经营风险，清除所有债务，并让他们直接向Tier 1光模块玩家变现其6英寸InP外延晶圆技术。 这是一笔基于成功重组以释放被困价值的深度资产价值交易。且它已是超大规模云厂商光网络的知名供应商（并非科学实验项目）。 下行风险是过度稀释和重组失败。但鉴于其对西方供应链和超大规模云厂商供应链的地缘政治重要性，似乎有更多缓冲。 我个人决定将其作为巨大的潜在反转机会做多。但再次强调，这不适合所有人，风险极高。 TLDR： -> IQE被定价为困境中的射频供应商。 -> 它拥有真正具备光子学能力的硬件基础设施。 -> 如果4100万英镑总债务被移除，且管理层将资本支出重新分配给InP，股权可能大幅重估。 -> 重组+产能期权交易，风险极高但上行空间也极大。 最接近的类比是 $IREN 或 $CIFR 等将GW产能转向AI HPC的比特币矿企。他们拥有大量物理硬件（GW产能），需要资金进行转型（通过出售台湾业务或稀释）。 我乐观地认为他们能做到（像 $INTC 那样，鉴于其对西方的地缘政治重要性，有回旋余地）。 下行风险是极端稀释，这始终是一种可能性（意味着你的股权可能被清零以清偿债务或帮助重构）。 我只是发现4500万英镑总债务（占流通股本+债务的14.4%）并非不可承受，且管理层正试图通过资产出售而非股东稀释来清除债务。 只想发布更深入的拆解和这个非常二元化的**高风险**但潜在高回报交易更多风险。
原推 ↗英文原文
Here's a deeper look into $IQE ($179M): IQE's hidden InP optionality versus LandMark's $3.5B valuation. And the $IREN / $CRWV "miner" pivot to photonics: Before I did a high-level shower thought overview eg. $AXTI -> $IQE -> $LITE -> $GOOGL TPUs, but this is slightly more DD. Basically: IQE is the largest independent merchant compound semi epitaxial foundry in the world by reactor count and physical capacity. However, it's trading at distressed valuations because it's burdened by a low-margin legacy wireless business, and near-term liquidity constraints. LandMark Optoelectronics (TPEX: 3081) is the closest comparison. As a pure-play proxy for AI InP demand in the 800G and 1.6T optical interconnect market, LandMark commands a ~$3.8B billion market cap with large premiums in comparison to $IQE which is trading at a $175M MC. But if you look deeper at the physical hardware, the disconnect is pretty fascinating: LandMark's operational scale is physically limited. They only operate around 27 to 30 Metal-Organic Chemical Vapor Deposition (MOCVD) reactors out of a single campus in Taiwan per some estimates. IQE, by stark contrast, possesses well over 100+ MOCVD and MBE systems globally. The underlying replacement value and structural capacity of IQE’s photonics asset base looks to vastly exceeds its current public market valuation. Kind of like if a Bitcoin miner has 3GW capacity, vs 750 MW, there's large optionality to monetize it if they convert it. And we're seeing an transceiver bottleneck too: -> The downstream demand for optical transceivers is experiencing unprecedented acceleration. -> Extreme demand, from $GOOGL, $MSFT, $AMZN and others flow directly up the hardware supply chain. This puts immense pressure on transceiver integrators like Innolight, optical component manufacturers like $COHR, $LITE, and $AVGO, and ultimately, the merchant epitaxial foundries that grow the raw epiwafers required for the foundational laser chips. And since other players are hitting a physical capacity ceiling, vertically integrated players like $COHR are capped out, hyperscalers and module makers are desperate for alternative capacity in players like $IQE And.. Hidden entirely beneath IQE's consolidated corporate lines is a massive fleet of Aixtron AIX 2800G4-TM reactors. These are natively dual-capable (GaAs/InP) and can be repurposed for InP production at a relatively modest cost ($500K-$1.5M per reactor) but take few months or year to refactor. And obviously qualification and yield risk added to execution (similar to Bitcoin miners doing software orchestration to GPUs like $CRWV). But still, IQE has the capacity kinda like $IREN or Bitcoin miners that pivoted to HPC. And LandMark is proof of the valuation pure play exposure brings. The Major Question.. Unlocking Trapped Value: While IQE generates significantly higher top-line revenue than LandMark, it's priced ($175M MC) for bankruptcy because of its gross debt of 45M. But the debt looks like pennies to hyperscalers: The explicit, stated goal of their ongoing Lazard-advised strategic review is to definitively conclude the sale of IQE Taiwan (their legacy GaAs wireless business) and utilize the proceeds to completely and permanently extinguish the parent company's restrictive debt profile. Once again their convertible loan notes is a norminal face value of £21.2 million, for proceeds of £18 million for the company. Then they're net debt, £23.5 million. -> The immediate debt burden requiring clearance: £23.5M HSBC facility + £21.2M CLN = ~£45M. Assuming a highly sale price for the IQE Taiwan unit of between £100 million and £150 millio (not guaranteed), IQE would net £50 million to £100 million in surplus cash after becoming completely debt-free. However, RF GaAs is not currently "hot", so in a distressed asset sale it might only be £50M to £60M, which gives it enough room to clear debt alone and little cushion room. The Geopolitical Pivot: Once debt-free, IQE can shift its massive, currently underutilized manufacturing capacity in places like North Carolina and Wales toward the InP epiwafer market for datacenters. It creates a fully capitalized, purely Western-based supply chain for the most critical bottleneck in photonics, eliminating more dependency on Asia at a time when the US and UK are heavily prioritizing domestic semiconductor infrastructure. Basically, just given the amount of raw assets $IQE has: -> Successfully selling off their Taiwan business wipes out the going-concern risks, clears all debt, and leaves them to monetize their 6-inch inp epiwafer tech directly for the Tier 1 optical transceiver players. It's a deep asset value trade on a successful restructuring to unlock trapped value. And a currently well-known supplier for optical networking for hyperscalers (so not a science project). Downside risks are excessive dilution and failure to restructure. But given it's geopolitical importance to Western supply chains and hyperscaler supply chains, it seems to have more cushion. I personally decided to enter this long as a massive potential turnaround. But again, it's not for everyone and it's extremely high risk. TLDR: -> IQE is priced like a distressed RF supplier. -> It owns real photonics-capable infrastructure. -> If gross 41M debt is removed and management reallocates capex toward InP, the equity could rerate materially. -> Restructuring + capacity optionality trade with extreme risk but extreme upside. Closest comparison is Bitcoin miners like $IREN or $CIFR that pivot their GW capacity to AI HPC. They have a ton of physical hardware (GW capacity), and need funds to pivot (either through sale of Taiwan business or dilution). It's an optimistic trade I took they can do it (with wiggle room like $INTC given their geopolitical importance to the West). The downside is extreme dilution, which is always a possibility (meaning your equity gets wiped out to 0 to clear their debts or to help them refactor). I just found that 45M gross debt (14.4% of float + debt) wasn't the most and management was looking to clear that through asset sales rather than dilution to shareholders. Just wanted to publish deeper breakdown and more risks of this very binary **high risk**, but potentially high upside trade.
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分析AI供应链中关键海外垄断厂商及美国本土瓶颈环节的投资逻辑。
哈哈 https://t.co/8i18XOIKK7 我重点关注的海外股票摘要： 1. 日本帝人博谢(Nitto Boseki) - T-玻璃(T-Glass) 2. 台湾欣兴电子(Unimicron) - 基板/玻璃基板(Substrates/Glass Core) 3. 三星/SK海力士 - 高带宽内存(HBM) 4. 日本铠侠(Kioxia) - 与 $SNDK 合作的 NAND 闪存 5. 台湾南亚科技(Nanya Technologies) - 内存 我通常更偏好做多美国供应链，如 $INTC (晶圆代工)、$MU (内存) 或 $LPTH (锗)，因为它们具备“美国制造”的瓶颈优势及供应链地位。但这些海外公司要么对整个人工智能(AI)基础设施建设至关重要，要么能捕获大量溢出需求。 如果你想知道如何投资海外市场？ - $IBKR 像帝人博谢这样的公司有美国场外交易(OTC)等价物，如 $NBCLF。如果你使用 Robinhood，$EWY / $FLKR 可以提供对韩国大型内存公司的敞口。 像帝人博谢这样的公司接近垄断，因此这是我特意去投资的极少数海外公司。
原推 ↗英文原文
lol https://t.co/8i18XOIKK7
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博主复盘YTD 316%收益，分享交易策略、核心持仓优势及免费分享初衷。
年初至今：316.4% 从2026年1月到2026年2月。 对我短期交易和多头持仓的回顾： > 年初对像 $GLXY、$SMCI 和 $IREN 这样进行税务收割(tax harvested)的股票进行波段交易(swing traded) > 搭乘委内瑞拉股票从 Gold Reserve、$AVAV 到 $CVX（看涨期权）上涨的顺风车 > 在战争入侵后买入像 $LPTH、$OSS、$AIRO 这样的国防股，以及受“跟随领导者”催化剂驱动的 $ONDS > 对 $INTC 进行催化剂交易，并正确把握了财报时机。 > 因对线色变化(wire color change)的担忧而对 $CRDO 进行波段交易 > 在超大规模客户损失(hyperscaler client losses)被错误报道后对 $MRVL 进行波段交易 > 像 $META 一样正确预判了财报 > 在 $NBIS 和 $CIFR 大幅抛售至 $70 和 $11 时，通过保证金(margin)加仓 > 从 $HOOD 下跌到 $CRDO 下跌再到复苏的过程中进行波段交易。 > 在比特币跌至 $73k 时买入，并在 $62k 时大量使用保证金博取复苏 > 像 $ETOR 这样的复苏股在抛售和财报后表现良好。 > 正确把握了像 $RPI 这样的公司的催化剂 > 利用亚洲股票与欧洲/美国时区之间的时间滞后套利(time lag arbitrages) > 利用 $EWY 和其他指数的隐含波动率扩张(IV expansion) > 把握轮动进入电力/电网股如 $XLU 的时机，目前正对像 $RDDT 这样的股票进行波段交易， 我肯定漏掉了一些，但这些是我主要发布的内容！ 此外，我会进行日内交易(day trade)： 例如 $ORCL 因发行导致8%抛售后的复苏，或 $SOFI 因无关紧要的卖方降级导致随机10%抛售。 我不在主时间线发布这些内容，因为我不想影响人们的买卖决策。 只想提供方向性思路，让人们得出自己的结论。 除此之外，我很高兴今天一切都上涨了，包括我的对冲(hedges)头寸。 与此同时，我的核心多头组合来自： - 从 SK Hynix 到 $AXTI 的光子学(Photonics)和存储，以及像 $AEHR 和 $FORM 这样的供应链瓶颈，其表现远超 Burry 的 $PLTR 每年 $415 的回报。 - 来自韩国/日本股票如 Nittobo、Kioxia 和 Unimicron 的多头持仓，有力支撑了美股回撤。 并非我组合中的所有股票都是绿色的，如 $CRCL、$CPSH、$VLN、$NBIS 或最近的 $INFQ。 但重要的是绿色持仓的集中度高于红色。与此同时，SPY 年初至今仅为 .55%，大多数高贝塔(high beta)股票年初至今大幅下跌。 我也不希望大家跟随我所有的操作，因为板块轮动、期权套利和基板瓶颈(substrate bottlenecks)很难消化。由于我也根据宏观/财报催化剂在约30只股票之间轮动，而大多数人只关注几只并持有数年。 但是，当2025年第四季度的短期回撤（如果人们买了短期期权）出错时，确实让人难受，直到现在才恢复超过平均成本。 然而，我对核心多头如 $NBIS 最终将大幅跑赢市场非常有信心。 希望大家能从中获得一两个有趣的交易思路或学到一些东西！ —— 只是有些反思，我认为我最近受欢迎的一个原因是我没有试图推销任何东西。这也不是我的全职工作（我经营一家科技公司），我只是出于乐趣做这件事，所以对最近的受欢迎程度感到非常惊讶。 我认为我的优势可能是信息综合与映射 -> 发现市场遗漏的阿尔法(alpha) -> 转化为金融科技和半导体领域的可执行多头思路。 与发布突发新闻或擅长拆解一两只特定股票的账户相比。 无论如何，我免费发布所有想法只是为了在能帮助他人时获得满足感。 所以，人们觉得我的想法有趣或信号足够强而愿意倾听，这让我心存感激。
原推 ↗英文原文
Year to Date: 316.4% From January 2026 into February 2026. Reflection of my short term trades and longs: > Swing traded tax harvested stocks like $GLXY, $SMCI, and $IREN start of the year > Rode Venezuela stocks from Gold Reserve, $AVAV, to $CVX (calls) up > Bought into defense like $LPTH, $OSS, $AIRO after invasion from war + $ONDS “follow the leader” catalyst > Catalyst traded $INTC and timed earnings correctly. > Swing traded $CRDO off wire color change fears > Swing traded $MRVL after erroneous reporting on hyperscaler client losses > Got earnings right like $META > Portfolio margined into $NBIS and $CIFR on the major selloff to $70 and $11. > Swing trades things from $HOOD drop to $CRDO drop into recovery. > Bought Bitcoin dip to $73k and heavy margin on $62k into recovery > Recovery plays like $ETOR after selloff and ER helped. > Getting catalysts on companies like $RPI correct > Time lag arbitrages between Asian equities and European/US time zones. > IV expansion off $EWY and other indexes. > Timing rotation into power/grids like $XLU and currently swing trading stuff like $RDDT, I’m sure I missed a bunch but these were the main ones I posted about! On the side I would day trade: Eg. $ORCL 8% selloff from offering into recovery or random 10% selloffs on immaterial $SOFI sellside downgrades. I don’t post stuff like these on my main timeline since I don’t want to influence when people buy/sell. Just want to give directional ideas and let people come to their own conclusions. Aside from that I’m happy everything went up today, including my hedges. This is all while my core long portfolio from: - Photonics and memory from SK Hynix to $AXTI to supply chain bottlenecks like $AEHR and $FORM have been mogging Burry’s $PLTR $415/year returns. - Longs from Korean/Japanese equities like Nittobo, Kioxia, and Unimicron have hard carried US equity drawdowns. Not everything in my portfolio is green like $CRCL, $CPSH, $VLN, $NBIS or recently $INFQ. But what matters is you have more concentration in green than red. This is all while SPY is YTD: .55% and most high beta stocks are heavily red YTD. I also don’t want people to follow along everything since sector rotation, option arbitrage, and substrate bottlenecks are hard to digest. Since I also rotate around like 30 different stocks based on macro/earning catalysts, whereas most people focus on a few and hold on for years. But it does hurt when more if get something wrong with short term drawdowns from Q4 2025 (if people bought short term options) and it’s only now recovered past cost average. However, I’m extremely confident in core longs like $NBIS to strongly outperform in due time. Hopefully people can take away one or two trade ideas that they find interesting or learn something! —— Just some reflection, i think a reason for my recent popularity is I’m not trying to sell anything. This is also not my full time job (I run a tech company) and I was just doing this for enjoyment, so very surprised by the recent popularity. I do think my edge is probably information synthesis and mapping -> discovering alpha markets missed -> into actionable long ideas across fintech and semis. Compared to accounts that publish breaking news or excel in breakdowns of one or two specific stocks. Regardless, I publish all my ideas for free just to get fulfillment if I can help others. So it does bring me gratitude that people find my ideas interesting or high-signal enough to listen.
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存储需求结构性短缺，推理瓶颈在存储，中国产能无外溢。
群联电子(Phison) CEO关于存储与投资框架的访谈摘要： “收过路费者”（Toll Collectors）： - 美光(Micron) ($MU) - SK海力士(000660.KS) - 三星电子 - 西部数据(Western Digital) ($WDC) - $SNDK T2层级： - $MRVL - $SIMO - 群联电子(Phison Electronics) 随着AI向边缘端迁移，设计连接存储与计算逻辑/软件控制器的公司将捕获巨大价值。 T3层级： - 纯存储(Pure Storage) ($PSTG) - NetApp ($NTAP) - 希捷(Seagate) ($STX) 随着Vera Rubin推理服务器推出，键值缓存(KV Cache)和数据生成的爆发将触发针对数据中心存储密度和高容量企业级固态硬盘(Enterprise SSDs)的硬件升级周期。 有趣的是：$EBAY（翻新电子产品）可能成为受益者。 - 做空/规避低毛利消费硬件。 - 做空/规避未对冲的汽车/IoT制造商。 主要Alpha观点： - “三年预付”现金流：存储晶圆厂要求3年现金预付款以保障供应。 - 推理瓶颈在于存储而非GPU：单批次1000万台$NVDA Vera Rubin平台需每台20+TB SSD，仅此项就将消耗去年全球NAND产能的20%。 - “中国供应过剩”看空论调已死： Pan完全驳斥了关于长江存储(YMTC)和长鑫存储(CXMT)的观点。中国内部AI需求巨大，将瞬间消化100%国内产量。不会有廉价中国存储流入全球市场来拯救西方硬件OEM。 访谈TLDR： 存储需求是结构性的。供应端无结束迹象。$INTC CEO上月已确认此点。
原推 ↗英文原文
TLDR of Phison CEO interview on Memory and Investment Framework: "Toll Collectors": - Micron ( $MU ) - SK Hynix (000660.KS) - Samsung Electronics, - Western Digital ( $WDC ) - $SNDK. T2: - $MRVL - $SIMO - Phison Electronics Companies that design the logic/software controllers connecting memory to compute will capture massive value as AI moves to the edge. T3: - Pure Storage ( $PSTG ) - NetApp ( $NTAP ) - Seagate ( $STX) As Vera Rubin inference servers roll out, the explosion in KV Cache and data generation will trigger a massive hardware upgrade cycle specifically focused on data center storage density and high-capacity Enterprise SSDs. Hilariously: $EBAY (refurbished electronics), might be a beneficiary. - Short / Avoid Low-Margin Consumer Hardware. - Short / Avoid Unhedged Auto/IoT Makers Main alpha points: - The "3-Year Prepayment" Cash Flow. Memory foundries are demanding 3 years of cash prepayments to guarantee supply. - The Inference Bottleneck is Storage, Not GPUs. A single 10-million-unit run of $NVDA Vera Rubin platform requires 20+TB of SSD per unit, which alone would consume 20% of last year's global NAND capacity. - The "Chinese Supply Glut" Bear Thesis is Dead: Pan entirely dismisses this point around YMTC and CXMT. China’s internal AI demand is so massive that it will instantly swallow 100% of its domestic production. No cheap Chinese memory will leak into the global market to rescue western hardware OEMs. TLDR from the interview: Memory demand is structural. No supply end in sight. $INTC CEO confirmed this last month.
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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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建议散户简化策略，聚焦核心标的如台积电，而非追踪复杂上游瓶颈。
对于绝大多数散户而言： 如果你想搭乘当前资本支出(capex)趋势的快车，我认为以下这些是必须持有的标的： 1. 存储(Memory) - $MU, 三星, 海力士, $SNDK 2. 光子学(Photonics) - $LITE, $COHR 3. CoWoS/晶圆代工(Foundry)/先进封装(Advanced Packaging) - $AMKR, $TSM, $INTC 随着向产业链上游深入，存在许多细微的瓶颈环节，例如我常提到的： 光子学的基板/原料层面的 $AXTI，共封装光学(CPO)中ELS领域的利基玩家如 $AAOI，良率相关的 $TER 或 $AEHR，硅光(SiPh)领域的 $TSEM。甚至是数据中心中从日月光(unimicron)到其他厂商的基板铜用量。 我的观点是，对于绝大多数(99%)的人来说，你可以选择“简单模式”生活，无需追踪 X 上的每日更新或 $AMKR 的资本支出流向。 只需关闭大脑中关于供应链映射/更新的部分，坚持持有像 $TSM 这样处于核心地位的标的，有时是更好的选择。 它很可能也会跑赢大部分上游玩家。
原推 ↗英文原文
For the vast majority of retail: If you want to ride the capex trends happening right now, these are probably must have imo: 1. Memory - $MU, Samsung, Sk Hynix, $SNDK 2. Photonics - $LITE, $COHR 3. CoWoS/Foundry/Advanced Packaging - $AMKR, $TSM, $INTC There's a lot of nuanced bottlenecks as you go upstream I talk about like : $AXTI in the substrate/feedstock level for photonics, random niche players like $AAOI for ELS in CPO. $TER or $AEHR for yields, or $TSEM for SiPh. Or even copper usage in DCs to substrates from unimicron to others. My opinion is that for the vast 99% of people, you can live life on easy mode without tracking day-to-day updates on X or where the capex spend from $AMKR goes. Just turning your brain off from all the supply chain mapping / updates, then just sticking with things like $TSM which is the center of it all is sometimes the better thing to do. It probably outperforms a large percentage of the upstream players as well.
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展示含杠杆的AI与加密多头组合，强调风险管理避免全仓小盘股。
组合权重是我被问得最多的问题。 以下是我的投资组合构成： 35% 存储超级周期 _ 10% 三星电子 10% 海力士 10% $MU 5% $SNDK 25% 数字资产敞口 _ 10% $IBIT 5% $COIN 5% $HOOD 2.5% $CRCL 2.5% $SOL 15% 金融科技/广告 5% $RDDT 5% $ETOR 5% $TTD 15% 数据中心 - 10% $NBIS 5% $CRDO 10% 半导体 _ 5% $INTC 5% $TSM 10% 光子学 5% $LITE 2.5% $AXTI 2.5% $COHR 5% 对冲/现金 5% 对冲（例如 $VIX 或 $QQQ 看跌期权，尤其是现在） 10% 小盘股“登月”标的 2.5% $VPG 2.5% $LPTH 1.5% $VLN 1.5% $AIRO 1% $OSS .5% $DPRO .5% $CPSH 这使用了轻微杠杆，例如 1.25 倍。 额外杠杆（最高 1.5 倍）： - 波段交易（例如 $GLXY） 我的投资组合看起来与此大致相似，但包含更多随机名称如 $AEHR 或 欣兴电子，且权重不同。 这是做多半导体 + AI 超级周期，并在加密货币中进行复苏交易。如果（谷歌、Meta、微软）削减支出，这将造成打击，但他们刚刚增加了资本支出。 但这只是展示我如何进行风险管理，全仓押注像 $POET 这样的小盘股是非常危险的。
原推 ↗英文原文
Portfolio weightings is my most common question. Here’s what my portfolio looks like: 35% Memory Supercycle _ 10% Samsung Electronics 10% Sk Hynix 10% $MU 5% $SNDK 25% Digital Asset exposure _ 10% $IBIT 5% $COIN 5% $HOOD 2.5% $CRCL 2.5% $SOL 15% Fintech/Advertising 5% $RDDT 5% $ETOR 5% $TTD 15% Datacenter - 10% $NBIS 5% $CRDO 10% Semi _ 5% $INTC 5% $TSM 10% Photonics 5% $LITE 2.5% $AXTI 2.5% $COHR 5% Hedge/Cash 5% Hedge (Eg. $VIX or $QQQ Puts, especially around now) 10% Small Cap Moonshots 2.5% $VPG 2.5% $LPTH 1.5% $VLN 1.5% $AIRO 1% $OSS .5% $DPRO .5% $CPSH This is using slight margin, eg 1.25x. Additional Margin (up to 1.5x): - Swing Trades (eg. $GLXY) My portfolio looks vaguely similar to this, but with more random names like $AEHR or Unimicron and different weightings. This is long semi + AI supercycle, with a recovery trade in Crypto. If (Google, Meta, MSFT) cut spending this would hurt, but they just increased capex spend. But this is just showing how I do risk management, it’s very risky to full send it into micro caps like $POET.
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梳理AI半导体供应链瓶颈，看好存储、光子及台积电，指出中游为定价关键。
以下是我对 Semivision 瓶颈总结的 TLDR（太长不看版）及其映射到投资框架的内容： HBM（高带宽内存）： HBM4 (16Hi) - 三星，SK 海力士，$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 $AXTI for InP precursors, but midstream players are the chokepoint + control most of the pricing. But just added commentary of related companies to topics to make things simpler for the regular retail investor.
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前员工评价英特尔高管聪明但官僚严重，人才流失致其老化。
就个人而言，我在$INTC共事的高管是我认识的最聪明的人。但作为一个整体，那里充斥着过多的臃肿和官僚主义，导致几乎什么都无法完成。此外，当时的看法是，所有年轻人才都流向了FAANG和更炙手可热的公司，因此英特尔正慢慢变成一只老恐龙。
原推 ↗英文原文
Individually at $INTC the execs I worked with were the most intelligent people I knew. Together, there was just too much bloat, bureaucracy, and nothing couldn’t get accomplished. The view also was that all the younger talent also went to FAANG and hotter companies so it was slowly becoming an old dinosaur
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博主回忆在英特尔工作期间，因管理层原因导致AI穿戴项目被雪藏。
@beauty_oe @jukan05 嗯，我的第一份工作是在 $INTC（英特尔）。当时我在 Moonshot Lab（月光石实验室），开发类似现在 $META（Meta）AI 的穿戴设备。但因为管理层的原因，所有项目都被雪藏了。看着酷炫的项目无法面世而消亡，确实令人悲伤。
原推 ↗英文原文
@beauty_oe @jukan05 うん、最初の職場は $INTC だったよ。 ムーンショット・ラボにいて、今の $META AI みたいなウェアラブルの開発をしてたんだ。 でもマネジメントのせいで、プロジェクトは全部お蔵入りになっちゃってさ。クールなプロジェクトが日の目を見ずに消えていくのは、やっぱり悲しいね。
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作者以在英特尔的首份工作为例，指出当时高管看空但长期持有仍有15%收益。
@jukan05 哈哈，我的第一份工作是在 $INTC（英特尔）。当时我接触的所有高管都认为那是一家死气沉沉的公司。 如果我在当时买入，8年后我的收益将稳稳达到15%。
原推 ↗英文原文
@jukan05 lol my first job was at $INTC. All the executives I talked to thought it was a dead company. If I bought in at that time, I’d be up a solid 15% 8 years later.
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南亚科因巨头退出成熟存储市场成唯一供应商，享稀缺溢价，股价低估。
南亚科(TPE: 2408)是我在存储领域的多头持仓之一，与$MU、SK海力士和三星并列。 但理由不同。 你可能在想，这种抛物线趋势（1年+972%）是否会停止？可能不会。 而且它每天还在上涨7%。 以下是简单的总结： 其远期市盈率仅为~13.62（随着涨价，现在可能更低）。 营收同比增长+357.7%/净利润同比增长+804.27%，其利润天文数字般巨大。 类似于美光上个月57.56%+的增速，且自从我首次提及以来已翻倍有余： 股价简直跟不上。 当巨头（三星、SK海力士和$MU）争夺高端AI市场时，南亚科专注于PC、计算机电子和工业领域的成熟及特种DRAM产品。（尽管他们也在做1b节点的先进芯片）。 存储公司留下了巨大的空白，而南亚科填补了它： 美光 - 完全退出消费级产品线 SK海力士 - 几乎完全专注于HBM4和服务器级DRAM。 三星 - 将30-40%的成熟产线重新分配给先进AI存储。 南亚科 - 最后的坚守者 需求保持稳定，但成熟DRAM供应突然断崖式下跌。且它仍被广泛使用于： - 消费级PC和笔记本电脑：2015至2023年间生产的数百万台电脑使用DDR4 - 智能手机：大多数中端和入门级智能手机使用LPDDR4 - 家庭电子产品：智能电视、游戏机（如旧款Nintendo Switch或PS4）使用这些。 基本上，它们仍需生产这些，但南亚科手握所有牌。 买家为旧内存支付“稀缺溢价”，因为他们无处可买，且在一个无聊的市场中看到了供应冲击。 南亚科本质上成了沙漠中卖水的人。他们可以不断抬高水的价格。 我做多这家在沙漠中卖水的公司。
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Nanyna (TPE: 2408) is one of my longs alongside $MU, SK Hynix, and Samsung for memory. But for a different reason. You might be thinking if this parabolic trend (+972% 1Y). is going to stop? Probably not. And it just keeps going up 7% a day. Here's a simple TLDR why: The forward P/E is only ~13.62 (likely lower now with price hikes). With +357.7% Revenue Growth/+804.27% Net Income Growth Y/Y, their profits are astronomical. Similar to Micron and their 57.56%+ last month, and more than doubling since I first mentioned it: The stock price literally can't keep up. While the giants (Samsung, SK Hynix, and $MU) are fighting over the high-end AI market, Nanya specialized in the legacy and specialty DRAM products from PCs, computer electronics, and industrial. (They are doing advanced chips though with 1b Nodes though). And the memory companies left a massive void Nanya filled: Micron - Total Exit from Consumer Lines SK Hynix - Focusing almost entirely on HBM4 and server-grade DRAM. Samsung - Reallocating 30–40% of legacy lines to advanced AI memory. Nanya - Last man standing Demand stayed steady but legacy DRAM supply suddenly fell off a cliff. And it's still widely used from: - Consumer PCs and Laptops: Millions of computers built between 2015 and 2023 use DDR4 - Smartphones: Most mid-range and budget smartphones use LPDDR4 - Home Electronics: Smart TVs, gaming consoles (like the older Nintendo Switch or PS4) use these. Basically, they still need to make these, but Nayna has all the cards. Buyers are paying a "scarcity premium" for older memory because they can't find it anywhere else and seeing a supply shock in a boring market. Nanya essentially became the guy selling water in a desert. And they can keep jacking up the price of water. I'm long on the cat sounding company selling water in the desert.
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博主表示重仓英特尔和Meta，关注后续表现。
@Neomeldir 不错！我个人重仓了 $INTC 和 $META，好奇看看这两只股票在接下来的几周表现如何。
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@Neomeldir Nice! I personally loaded up on $INTC and $META, curious to see how those two do in the upcoming weeks.
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研究Google TPU v8x玻璃基板供应链瓶颈及潜在受益股。
我持有 $MU 的头寸，但目前只是持有不动。 说到 $INTC，我刚刚研究了关于 Google TPU v8x 据报道使用的 EMIB-T 玻璃可能存在的铝硅酸盐玻璃瓶颈： 例如：钡和锶 -> $SOLV 锡 / 二氧化锡 (SnO2) -> $MTL 化学机械抛光 (CMP) 浆料和纯度过滤器 -> $ENTG 精炼硼酸盐 -> $FEAM 气相二氧化硅 -> $CBT 还没研究完，但他们在该领域的工作确实是一个令人兴奋的机会。
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I have $MU positions but I'm just sitting on them. Speaking of $INTC, was just looking into possible aluminosilicate glass bottlenecks with EMIB-T on glass reportedly used by Google TPU v8x: eg. Barium & Strontium -> $SOLV Tin / SnO2 -> $MTL CMP Slurries and Purity Filters -> $ENTG Refined Borates -> $FEAM Fumed Silica -> $CBT Haven't finished yet, but their work in the area is definitely an exciting opportunity
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美光凭借美国制造护城河及存储超级周期，估值优于同业。
“美国制造”是美光($MU)和英特尔($INTC)拥有的最强大护城河(Moat)。 以下是美光的最新动态： 继25日NAND和DRAM涨价预期上调后： $MU的前向市盈率(Forward P/E)可能在~8.2-8.5倍左右，同时毛利率(Gross Margins)维持在75-77%。 随后是特朗普和卢特尼克的新评论： - “任何想建设存储芯片的企业只有两个选择：要么支付100%的关税，要么在美国本土建厂”——卢特尼克（在美光存储芯片工厂，1月17日） - “特朗普将对韩国进口商品关税提高至25%”——（1月27日） 这是一个非常有趣的动态，因为美光作为美国的冠军企业，仍能通过海外扩张获得税收优惠。而三星或SK海力士的类似扩张则被视为面临关税风险。 此外，今天的新消息显示美光正在新加坡以240亿美元的投资加速NAND生产。 所以大家都在问，为什么$MU的估值高于其他存储芯片制造商？ 我们正亲眼目睹美国“美国制造”护城河与“存储超级周期(Memory Supercycle)”中无休止的涨价改善利润表共同发挥作用。 白宫正在尽其所能确保其本土领导者取得成功。
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"Made in America" is the greatest moat $MU and $INTC have. Here's the recent developments with Micron: From NAND + DRAM hike est. on the 25th: $MU forward P/E would likely be ~8.2-8.5 with gross margins sitting at 75-77%. This is followed by new comments from Trump and Lutnick: - “Everyone who wants to build memory has two choices: They can pay a 100 per cent tariff, or they can build in America" - Lutnick (Micron Technology memory chip plant, Jan 17) - "Trump raises US tariffs on South Korea imports to 25%" - (Jan 27th) It's a fascinating dynamic as Micron still gets tax benefits through overseas expansion as America's champion. Whereas similar expansions by Samsung or SK Hynix are viewed through the lens of tariff risk. This is coupled with new news today that Micron was ramping up NAND production in Singapore with $24B. So everyone was wondering, why $MU was valued higher than other memory makers? We're seeing the the USA "Made in America" moat live in action together with "The Memory Supercycle" of endless price hikes improving bottom lines. The White House is doing everything it can to make its domestic leaders succeed.
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推荐AI供应链关键外国垄断股及美股替代投资渠道。
我首选的外国股票摘要： 1. 日本帝人博西(Nitto Boseki) - T-玻璃(T-Glass) 2. 台湾欣兴电子(Unimicron) - 基板/玻璃核心(Substrates/Glass Core) 3. 三星/SK海力士 - 高带宽内存(HBM) 4. 日本铠侠(Kioxia) - 与 $SNDK 合作的 NAND 闪存 5. 台湾南亚科技(Nanya Technologies) - 内存 我通常更偏好“美国制造”瓶颈及供应链相关的美国标的，如 $INTC (晶圆代工)、$MU (内存) 或 $LPTH (锗)。但这些外国公司要么对整个人工智能(AI)基础设施建设至关重要，要么能捕获大量溢出需求。 如果你想知道如何进入外国市场？ - $IBKR 像帝人博西这样的公司有美国场外交易(OTC)等价物，如 $NBCLF。如果你使用 Robinhood，$EWY / $FLKR 可以提供对韩国大型内存公司的敞口。 像帝人博西这样的公司接近垄断，因此这是我特意去投资的极少数外国公司。
原推 ↗英文原文
TLDR of my top foreign stocks: 1. Nitto Boseki - T-Glass (Japan) 2. Unimicron - Substrates/Glass Core (Taiwan) 3. Samsung/SK Hynix - HBM (Korea) 4. Kioxia - NAND w/ $SNDK (Japan) 5. Nanya Technologies - Memory (Taiwan) US supply chains like $INTC (foundry), $MU (memory), or $LPTH (germanium) are typically my longs of preference "Made in America" bottleneck + supply chains. But some of these foreign companies are either critical to the entire AI buildout or capture a lot of the overflow. If you're wondering how you get access to foreign markets? - $IBKR There are US OTC equivalents for companies like Nitto Boseki like $NBCLF. If you're on Robinhood, $EWY / $FLKR provides access to large KR memory exposure. Some like Nitto Boseki are near monopolies so these are the very rare foreign companies I go out of my way to invest in.
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发布1月25日美股评级，强烈看好AI、内存及美国供应链瓶颈股，回避高估值与稀释风险标的。
1月25日评级。欧盟关税及$INTC财报后更新。 强烈买入： $SNAP $META 三星电子 SK海力士 $MU 欣兴电子 $TSM $CRCL $AXTI $LPTH $COPX $LIT $AEHR $FORM $AMKR $AVGO $MRVL 买入： $COIN $SMCI $GOOGL $FIG $AMZN $IBIT $RDDT $TTD $HIMS $HOOD $COHR $AMBA $IREN $POET $AAOI $LASR $VPG $OSS $INTC $UMAC $ONDS $AIRO $DPRO $AVAV $BULL $ETOR VLN NBIS GLXY CIFR HUT WULF 存疑 $VELO $SKYT 回避 $UAVS $BKKT WLMT SLNH $PLTR CRWV $ORCL $BMNR $IONQ, RGTI, QBTS _ 强烈买入 Snapchat - 底部约在$7.4，我认为在此位置非常强劲。随着内存资本支出减少及内存变现进入2027年，自由现金流(FCF)增加。只需等待重估。 Meta - 营收同比增长26%极其强劲，上季度产生超$100亿自由现金流。预计下季度财报后走势将走强，此前因光学(环比EPS光学效应超700%)导致BBB抛售，现在应已消化。 三星电子 - 半导体领域的圣杯，三星同时提供高带宽内存(HBM)和代工(Fab)敞口。 SK海力士 - 内存超级周期 美光 - 内存超级周期，但有美国背景支持。 欣兴电子 - 针对HBM、IC载板、玻璃基板、CoWoS及其他所有瓶颈环节的“邪恶”长线持仓。 台积电 - 印钞机，字面意义上不会出错。 Circle - 预计降息2-3次可能会大幅损害Circle净利润，因此已被定价。但在$160亿市值时是极佳的长线标的，他们正在印钞，且应开始看到美元稳定币(USDC)的扩张。 AXTI - LPTH: 磷化铟(InP)/锗等瓶颈。将成为2026年的巨大主题。只需等待AXT的供应链中断或Lightpath的黑钻(Black Diamond)在美国制造。我认为由于产能爬坡->收入增加，下行风险极低，但类似HBM的“登月式”涨价可能存疑。 COPX - 锂：稀土/材料如铜、锂是2026年的极佳长线标的。与上述瓶颈类似，来自中国的供应链中断将导致资金流向确保供应+建设新供应链。 AEHR - 说实话，他们处于AI和机器人两个热门垂直领域。$550万索诺玛(Sonoma)订单可能与美光和碳化硅(SiC)测试有关。看起来是市值低于$10亿的极佳“登月”标的。 FORM - 由于涉及DRAM/HBM及代工/逻辑，可能在美国供应链中变得重要。良率在HBM4中尤为重要。 AMKR - 美国本土制造供应链及台积电->美国转移的极大受益者。 博通 - 财报后近期大幅回调。鉴于超大规模客户ASIC将继续爬坡（尽管有一些延迟），我认为在此位置强烈买入。 Marvell - 与博通故事相同，Marvell因微软Maia延迟传闻而抛售。只需等待2027年营收约翻倍，当市场开始定价这一点，以及在Celestial收购后，他们在互连等其他领域做得很好。 买入 Coinbase - 加密货币近期回调使Coinbase在$570亿市值下价值再次合理。我从未喜欢其交易所部分，但为贝莱德IBIT ETF提供基础设施+与Circle的USDC收入分成，赋予Coinbase相当不错的长期价值。 SMCI - 从$60+暴跌回$30+呈现了极具吸引力的机会。市场极度担忧毛利率->SMCI向海外扩张，特别是主权AI+购买低端Nvidia GPU。且SMCI在那里的毛利率应会提升。也可能因为与客户达成的交易变得“粘性”。他们的营收增长并未停滞，仍达$360亿+。 GOOGL - 此时Gemini可能会接管ChatGPT，所以我会继续做多谷歌。 Figma - 软件板块抛售为许多被重挫的标的如Figma提供了良好机会，其拥有极高的毛利率+稳健增长。 亚马逊 - 价格基本与去年持平，他们一直在增长，AWS表现良好，涉足机器人+太空低轨卫星(LEO)，看起来是未来极佳的长线标的。 比特币 - 始终是极具吸引力的长线标的 Reddit - 估值高，但毛利率极高且不会消失，因为每个人都在用Reddit。 TTD - 2025年的抛售再次呈现了极具吸引力的估值 HIMS - 说实话，在$29时对我极具吸引力，可能会再次放入强烈买入，但当然营收减速非常令人担忧。主要Alpha在于市场未定价Zava收购，仅凭庞大的客户群，他们就能从新客户中衍生大量营收。 Robinhood - 从$140抛售回$100再次为Robinhood提供了良好机会。他们不会消失，加上银行+其他新产品营收扩张，应带来积极顺风。 Coherent - 长线美国供应链，特别是光子学、InP等。 AMBA - 针对边缘AI推理用于机器人爬坡+边缘计算的“登月”长线标的。 POET - 现在基本是1/2现金，通过Celestial间接进入Marvell+超大规模客户。鉴于承销商在$7.25买入，$6.8的股价具有吸引力。 AAOI - 与微软Maia和AWS Trainium绑定的长线标的。两者都尚未真正起飞，所以只是等待游戏。 LASR - 定向能武器非常酷。我不太喜欢基本面如20%左右的营收增长，但技术实在太酷了。 VPG - 与Optimus爬坡绑定的长线标的。我们应在2026年底看到工业用例，2027年底看到消费用例，所以Optimus生产可能现在开始或Q2影响资产负债表。 OSS - 国防板块及边缘AI+$2亿合同的长线标的。 INTC - 做多美国政策，财报并未改变任何观点，只是短期价格。 UMAC - 在此水平上是美国无人机制造的极佳长线标的。 ONDS, Airo, DPRO - 与AIRO, DPRO相同，看多无人机板块。相比几周前美国入侵委内瑞拉并威胁格陵兰时，没有太多巨大的顺风，但主题上看多。 AVAV - 关于将研发类合同->长期合同的错误信息导致抛售，呈现了相当大的上行空间 BULL - 我喜欢像Robinhood, Webull等拥有大量零售用户的券商，因为一旦拥有客户群，就有无尽的变现方式。抛售回$8呈现了极具吸引力的上行空间 ETOR - 抛售过度，净利润同比高，基本50%现金，下行风险低。只需等待财报重估。他们表现也不错，AUM同比70%+，所以不明白为何这样定价。 VLN - 不再像以前那样接近1:1资产/净值，曾有一段时间他们有$1100万+投资(下跌63%)毛利率，$9300万现金，所以会更接近1.1-1.2亿 : $1.4亿市值，这说不通。话虽如此，仍有$8000万远期营收，毛利率从63%->69%，看起来重估机会相当大。市场似乎只是不喜欢与某国相关的公司如Etoro，我想 Nebius - $150亿Clickhouse估值仅显示了分部加总(SOTP)，我不惊讶他们的子公司如Avride最终会超越主营业务。话虽如此，由于$20亿+ ATM在公开市场出售，近期有卖压。随着他们在2026年底达到$70亿ARR目标，应会极速爬坡。 GLXY, CIFR, HUT, IREN, WULF - 继续做多colo及其他新云板块标的。话虽如此，大多数自2025年以来已上涨30-40%+，所以它们不再是强烈的买入，因为已被定价。但仍有很多上行空间。 存疑 VELO - 很多人问我对此的看法，因为FinX喜欢这只股票。他们有很酷的客户如SpaceX，但基本面看起来糟糕。 ~$1180万现金 + $1750万发行 vs. ~$2300万债务。他们几乎没有剩余跑道，现在买入的人可能会被稀释。 Velo是拥有像IQE(欧洲InP供应链)这样极佳客户群但基本面糟糕的完美例子。 SKYT - 它是美国本土制造供应链的极佳标的，用于量子组件或边缘等酷东西。受益于芯片法案，但营收增长非常缓慢。它比Velo是更好的投机性长线，因为基本面更好。 24%左右的低毛利率，非常低的运营利润率，显然已计入市值，但美国纯代工应是一个溢价的好故事。底线是增长不够快。 回避 UAVS - 无尽的稀释机器，超过100%的市值已给予可将对市值25%以下的股份100%+转换为零售出售的套利投资者 BKKT - $3亿ATM稀释，而市值为$5.5亿。无尽的稀释机器 沃尔玛 - 43倍市盈率，不可能。 SLNH - 前方有大量稀释。 Palantir - 担忧估值P/E Coreweave - 担忧巨额债务，$10亿+债务利息严重损害自由现金流。然后是OpenAI的分配/建设，如果考虑到Gemini正在接管OpenAI的市场份额，对其能否履行合同义务存在极度、极度的担忧。 Oracle - 可能有技术性反弹，但说真的，他们为OpenAI(如Stargate)花费了太多资本支出，像Coreweave一样，OpenAI在能否履行合同义务方面存在极度担忧 BMNR - 无尽的稀释机器为愚蠢的项目融资，如$2亿投入Mr. Beast的公司。预期长期ETH质押ETF，做空BMNR，溢价将消失，例如$2亿现金投入Mr. Beast的公司流动性很差。 IONQ, RGTI, QBTS - 量子估值非常拉伸。 _ 总体想法： 我个人保持极度做多，这只是个人想法，非投资建议(NFI)。 许多小盘股和投机性公司自1月1日以来已经重估，我不认为许多50-100%的涨幅会持续（周五我们看到这些标的中有很多获利了结）。 话虽如此，特朗普正试图进一步降息（再降息2-3次），特别是因为中期选举即将到来。 SPY上涨 = 当选几率更大。所以我会保持极度做多直到中期选举后。 话虽如此，这有助于成长、投机性公司等。但我们已经看到这在很大程度上已被定价，如我最喜欢的长线标的之一Rocketlab，季度营收$1.55亿却达到$450亿+市值，所以我开始质疑估值->将许多头寸转向更多价值型（如软件下跌或内存超级周期）。 主题上我极度看多 - AI, 内存, 半导体 - 瓶颈 - 关键材料等。 非常看多 - 美国本土制造供应链 看多 - 国防板块 并会寻找软件到社交媒体公司等的波段交易/复苏/重估机会，鉴于近期的抛售。
原推 ↗英文原文
Jan 25th Ratings. Post EU Tariffs and $INTC ER. Strong Buy: $SNAP $META Samsung Electronics SK Hynix $MU Unimicron $TSM $CRCL $AXTI $LPTH $COPX $LIT $AEHR $FORM $AMKR $AVGO $MRVL Buy: $COIN $SMCI $GOOGL $FIG $AMZN $IBIT $RDDT $TTD $HIMS $HOOD $COHR $AMBA $IREN $POET $AAOI $LASR $VPG $OSS $INTC $UMAC $ONDS $AIRO $DPRO $AVAV $BULL $ETOR VLN NBIS GLXY CIFR HUT WULF Questionable $VELO $SKYT Avoid $UAVS $BKKT WLMT SLNH $PLTR CRWV $ORCL $BMNR $IONQ , RGTI, QBTS _ Strong Buy Snapchat - Bottomed around $7.4, imo very strong at this level. Increased FCF from memory opex reduction and memory monetization into 2027. Just a waiting game for re-rating. Meta - 26% Y/Y revenue growth is extremely strong, produced $10B+ FCF last quarter. Expect it to pick up after next quarter earnings due to optics (700%+ Q/Q EPS optics) that caused selloff last time from BBB. Samsung Electronics - Holy grail for semis, samsung provides exposure to both hbm and foundry. SK Hynix - memory supercycle Micron - memory supercycle, but with US backing. Unimicron - unholy long for hbm, ic substrates, glass core, cowos, and all other bottlenecks. TSM - money printer, literally can't go wrong with this. Circle - 2-3x projected rate cuts would likely hurt circle net income a lot, hence why it's being priced in. But amazing long at $16B as they print money and should start seeing expansion of USDC. AXTI - LPTH: Bottlenecks for InP / Germanium, etc. Will be a huge theme going into 2026. It's just a waiting game for both supply chain disruption (in AXT) or made in America w/ black diamond in Lightpath. Low downside risk imo due to capacity ramp -> revenue increase, but moonshot HBM type price increases might be questionable. COPX - LI: Rare Earths/Materials like Copper, Lithium are great longs for 2026. Similar with bottlenecks above, supply chain disruptions from China will cause money to flow into securing supply + buildout out new supply chains. AEHR - Honestly, they sit in two different hot verticals in AI and Robotics. $5.5m Sonoma order might be linked with Micron and SiC Testing. Seems like an extremely good moonshot sub $1B MC. FORM - Likely to be important in US supply chains since they do DRAM/HBM, and Foundry/Logic. & Yield is especailyl important w/ hbm4. AMKR - extreme beneficiary of made in america us supply chains and tsm -> US AVGO - Large correction recently post earnings. Strong buy IMO at these levels given hyperscaler ASICs will continue to ramp (even though there's been some delays). MRVL - Same story with Broadcom, marvell selloff after rumors of Microsoft maia delays. It's just a waiting game for ~2x revenue in 2027 and when markets start pricing that in, and after celestial acqusition, they're doing great stuff in other segments like interconnects. Buy Coinbase - Recent correction to Crypto makes Coinbase value decent again at $57B. Was never a fan of their exchange portion, but providing infra for Blackrock IBIT etfs + USDC revenue sharing with Circle, gives Coinbase pretty good long term value. SMCI - Extreme selloff from the $60's+ back to $30's presents attractive opportunity here. Markets are extremely concerned about gross margins -> SMCI expanding overseas, especially with soverign AI + buying lower end nvda gpus. and SMCI's margins should increase over there. Also likely due to deals to become sticky w/ customers. It's not like they're dying revenue growth to $36B+. GOOGL - Gemini at this point would likely take over chatgpt, so i'd remain long google. Figma - Software selloff provides good opportunity into a lot of the hammered names like Figma which extremely high gross margins + sturdy growth Amazon - Basically same price as last year, they've been growing, AWS is doing fine, they're in robotics + space LEOs, and just seems like a great long going forward Bitcoin - Always an attractive Long Reddit - High valuations, but extremely high gross margins and not going anywhere since everyone uses reddit. TTD - Selloff from 2025 presents attractive valuations again HIMS - Honestly extremely attractive for me at $29, might be put into strong buy again, but of course revenue deceleration is very worrysome. Main alpha is that markets arent pricing in Zava acqusition and just from sheer customer base, they can derive a lot of revenue from new customers. Robinhood - Selloff from $140 back to $100 presents a good opportunity for Robinhood again. They're not going anywere, plus new product revenue expansion from banking + others, should present positive tailwinds. Coherent - Long US supply chains, esp. for photonics, inp, etc. AMBA - Moonshot long for edge AI inference for robotic ramps + edge compute. POET - Basically 1/2 cash now, backdoor into marvell + hyperscalers through celestial. Attractive upside at $6.8 given underwriters bought at $7.25 AAOI - long play tethered to msft maia and aws trainium. both of them haven't really taken off yet so it's just a waiting agme LASR - energy directed weapons are super cool. i dont quite like the fundamentals like low 20% revenue growth, but the technology is just way too cool. VPG - Long play tethered to optimus ramp. we should see industrial use cases EOY 2026 and consumer EOY 2027, so maybe optimus productions starts hitting balance sheet now or q2. OSS - Long play on defense sector and edge AI + $200m contract. INTC - long on us policy, earnings didn't really change any perspective, just short term price. UMAC - Great long play at these levels on drone manufacturing in US. ONDS, Airo, DPRO - Same with AIRO, DPRO, bullish on drone sector. There's not much of a massive tailwind compared to a few weeks ago when US was invading venezuela and threatening greenland, but thematically bullish. AVAV - selloff from misinformation about converting r&D type contracts -> long term contract presents considerable upside BULL - I do like brokerages like robinhood, webull, etc. that have a ton of retail users since there's endless ways to monetize once you own the customer base. selloff back to $8 presents attractive upsdie ETOR - selloff way overblown, high net income y/y, basically 50% cash, low downside risk. just waiting for re-rating per earnings. they're doing well too, 70%+ Y/Y AUM, so not sure why they're being priced in like this. VLN - not quite the same anymore as close to 1:1 assets/nav, at one point they had $11m+ inv (off 63%) gross margins, $93M cash, so would have been closer to 110-120m : $140m MC, which made no sense. That being said still $80m fwd revenue off 63% -> 69% gross margins, seems like considerable opportunity for re-rating. Markets just don't seem to like companies eg. Etoro related to a certain country, I guess Nebius - $15B clickhouse valuation just goes to show Sum of Parts, where I wouldn't be surpirsed if their subsidaries like Avride ended up overtaking the main business. That being said, near term selling pressure due to $2B+ ATM being sold on open market. Should ramp up extremely fast as they meet their $7B ARR target EOY 2026. GLXY, CIFR, HUT, IREN, WULF - Remain long on the colo, and other neocloud sector plays. That being said most are up 30-40%+ since 2025, so they're not exactly a strong buy anymore as they've been priced in. But lot of upside remains. Questionable VELO - Lot of people asked my opinion on this since FinX loves this stock. They have really cool customers like SpaceX, but fundamentals look terrible. ~$11.8M cash + $17.5M offering vs. ~$23M. debt. They barely have any runway left and people buying now are likely to be diluted. Velo is the perfect example of amazing customer base like IQE (EU for inP supply chain), but terrible fundamentals. SKYT - It's a great made in america supply chain company for a lot of cool stuff like quantum components or edge. Benefits from CHIP act, but very slow revenue growth. It's a lot better speculative long than Velo since it has better fundamenatls. Lower gross margins like 24%, very low operating margins, is obviously priced into MC but U.S. pure-play foundry should be a good story for premium. Bottom line are not really growing too fast though. Avoid UAVS - Endless dilution machine with over 100%+ of marketcap given over to arbitrage investors that can convert 100%+ of the shares under 25% market value to sell on retail BKKT - $300m ATM dilution right now while MC is $550m. Endless dilution machine Walmart - 43 p/e, there's no way. SLNH - Lot of dilution ahead. Palantir - Concern over valuation P/E Coreweave - Concerns over large debt, $1B+ in debt interest hurts FCF a ton. Then there's allocation/buildout for OpenAI, which has extreme, extreme concerns if they can fulfill contract obligations, especially since gemini is taking over market share of openai. Oracle - There might be technical rebound, but seriously, they've spent so much capex just for openai (eg. stargate), and like coreweave, OpenAI, which has extreme concerns over if they can fufill contracts obligations BMNR - endless dilution machine to fund silly projects like $200m into mr. beast's company. Expect long eth staking etfs, short bmnr plays, and premium to go under as $200m cash into mr. beast's company for example is not very liquid. IONQ, RGTI, QBTS - Quantum valuations are very stretched. _ Overall Thoughts: I'm personally staying extremely long, this is just personal thoughts NFI. A lot of small caps and speculative companies have already been re-rated since Jan 1st and I don't expect many of the 50-100% moves to continue (we've seen a lot of profit taking Friday on some of these names). That being said, Trump is trying to cut rates even more (another 2-3x projected), esp. since Midterms is coming up. SPY Up = better chance of getting elected. So I'm staying very long until after Midterms. That being said a lot of this helps growth, speculative companies etc. But we're already seeing this largely priced in like Rocketlab, one of my favorite longs, reaching $45B+ MC off $155m quarterly revenue, so I'm questioning valuations a bit -> pivoting a lot of positions into more value (eg. software drop or memory supercycle). Thematically I'm extremely bullish on - AI, Memory, Semis - Bottlenecks - Critical Materials, etc. Very bullish on - Made in America supply chains Bullish on - Defense Sector And would look for swing trades/recovery/re-rating for stuff like software to social media companies around now given the recent selloff.
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INTC财报重创持仓，但已对冲，下周拟利用波动率下降寻找机会。
@platochi 哭吧，$INTC 的财报评论摧毁了我半导体投资组合的其余部分。说笑归说笑，下周可能会寻找机会，因为做市商(MMs)正在打压隐含波动率(IV)，人们开始恐慌性抛售他们的虚值看涨期权(OTM calls)。幸运的是，我在财报前对冲了大量头寸。
原推 ↗英文原文
@platochi Cry as $INTC ER comments nukes the rest of my semi portfolio. Jokes aside probably looking for opportunities next week as MMs crush IV + people start panic selling their OTM calls. Luckily I hedged a ton for earnings
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以英特尔为例，强调基本面未变时应耐心持有，时间是最大资产。
$INTC 暴跌 17%，收盘回到 $45。 短期期权下跌 95%+，LEAPS（长期期权）下跌 40%+。 英特尔是“股票不会直线上涨”（除非是 $SNDK）的完美例证。而且它在过去 1 个月内仍上涨了 26%。 如果基本面逻辑未变（做多白宫政策/国家安全），最好等待其兑现。 对于 $AXTI 几个月内磷化铟(InP) 瓶颈潜力或 $VPG 一年后 Optimus 量产潜力的其他股票也是如此。 时间是最宝贵的资产。
原推 ↗英文原文
$INTC crashes 17% and finishes the day back at $45. Short dated options are down 95%+ with leaps down 40%+. Intel is the perfect example of “Stocks don’t move in a straight line up” (unless it’s $SNDK). And it’s still up 26% in 1M. If the fundamental thesis hasn’t changed (Long White House policy/National Security), it’s probably best to wait for it to play out. Same goes for any other stock from $AXTI InP bottleneck potential in a few months or $VPG potential Optimus ramp in a year. Time is the most valuable asset.
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英特尔是政策驱动的非对称多头，短期期权风险不影响长期逻辑。
我不认为有人预期 $INTC 能在1-2个季度内交付所有成果。这是最不对称的多头头寸之一，因为这是一场等待游戏，且有美国政府为建立其晶圆代工厂提供的无限后盾。我会说这是对政策的多头押注，而非基本面。就时机而言，大量短期深度虚值看涨期权（OTM Calls）的情况有点令人担忧。但如果你做多未来几年，这其实并不重要。
原推 ↗英文原文
I don't think anyone expected $INTC to deliver everything in 1-2 quarter. It's one of the most asymmetrical longs there are, since it's a waiting game with infinite backstop from US Gov to buildout their foundry. I'd say it's a long on policy, not fundamentals. In terms of timing the amount of short term way OTM calls are a bit worrysome. But it shouldn't really matter if you're long for the next few years.
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英特尔股价回落，CFO财报会表现糟糕。
@acchcch $INTC 股价已回到周一的水平。抛开价格不谈，首席财务官(CFO)在财报电话会议上的表现糟糕透顶。
原推 ↗英文原文
@acchcch $INTC price is back to where it was… Monday. Price aside, the CFO sounded horrendous on the earnings call
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梳理受益于美光及三星的HBM4供应链中小市值美股标的。
存储超级周期供应链要点： 受益于 $MU 和 SK/三星的美国冷门 HBM4/存储阿尔法标的： $VECO ($20亿) - 激光退火 $PLAB ($21亿) - 光刻掩模版 $ADEA ($21.8亿) - 混合键合 $ACLS ($29亿) - 离子注入 $FORM ($64.3亿) - HBM晶圆测试 $ONTO ($106亿) - 封装量测 $AMKR ($131亿) - 先进封装 $RMBS ($135.5亿) - 存储IP $MKSI ($149亿) - 激光子系统 未包含 $TER 和 $KLAC 等巨头，只想聚焦于知名度较低的标的。 还有一些间接受益者如 $SMTC 和 $MTSI。市场肯定尚未完全定价其中部分标的。 如果我漏掉了任何标的请告诉我。 只是想发布这些，以防你们对其中任何一只感兴趣。
原推 ↗英文原文
Memory Supercycle Supply Chain TLDR: US Sleeper HBM4/Memory alpha picks that benefit from $MU and SK/Samsung: $VECO ($2B) -Laser annealing $PLAB ($2.1B) - Lithography photomask $ADEA ($2.18B) - Hybrid bonding $ACLS ($2.9B) - Ion implantation $FORM ($6.43B) - HBM wafer testing $ONTO ($10.6B) - Packaging metrology $AMKR ($13.1B) -Advanced packaging $RMBS ($13.55B) - Memory IP $MKSI ($14.9B) - Laser subsystems Didn't include big players like $TER and $KLAC since just wanted to focus on lesser known ones. There's some indirect beneficiaries too like $SMTC and $MTSI. Markets definitely haven't priced some of these in yet. Let me know if I missed any. Just wanted to publish these in case you find any of them interesting.
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MU因国家安全护城河及低估值，是押注美国政策的最优多头。
人们很容易因认证风险或SK海力士产能爬坡及竞争而过度思考。 $MU拥有全球最深的护城河： 美国国家安全+“美国制造”供应链。 白宫+美国超大规模云服务商不会让$INTC或$MU失败。且其远期市盈率仅为11倍。 这是押注美国政策最轻松的多头机会。
原推 ↗英文原文
It's extremely easy to overthink things with qualification risk or Sk Hynix ramp + competition. $MU has the biggest moat in the world: US national security + Made in America supply chains. The White House + US hyperscalers won't let $INTC or $MU fail. And it's trading at 11 forward p/e. This is the easiest long on US policy.
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类比 Nvidia 历史，看好美光在 AI 存储超级周期中的重估潜力。
$MU 看起来是下一个 Nvidia。当 Nvidia 市值为 4000 亿美元（现超 4.5 万亿美元）时，市场认为 GPU 只是短期周期。如今的存储芯片也是如此。AI 打破了这一周期。凭借与 $INTC 相同的“美国制造”和白宫支持：不要对美光(Micron)想太多。
原推 ↗英文原文
$MU looks like the next Nvidia. When Nvidia was $400B (now $4.5T+), markets thought GPUs were a short-term cycle. Same with memory today. AI has broken that cycle. With the same "Made in America" and White House backing like $INTC: Don't overthink things with Micron. https://t.co/LBhbVjoKGz
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分析美光因本土优势及需求结构性转变的看多逻辑。
这只是一个针对 $MU 的极度简化的看多情景。当然也存在看空因素，例如 @MarkosAAIG 提到的 $NVDA Rubin 在 HBM4 认证方面的执行风险。$INTC 的逻辑与此类似，美光位于美国。美国政府可能对海力士/三星征收关税以推动本土使用，加上超 60 亿美元的赠款、数百亿美元的税收抵免，以及超大规模云厂商对本土供应链的需求，即使出现延迟，美光也拥有巨大优势。在需求端，他们 2026 年及 2027 年的订单已售罄。我认为这是一次结构性需求转变，而非周期性波动，尽管人们可以有不同的解读。
原推 ↗英文原文
So this is just an oversimplified bull case scenario for $MU. There's obviously bear cases too, one being HBM4 qualification execution risk for stuff like $NVDA Rubin that @MarkosAAIG mentioned. Similar thesis with $INTC here, Micron is in the US. US government likely tarrifs on hynix/samsung to push for domestic usage, $6B+ in grants, and tens of billions in tax credits, and hyperscalers wanting a domestic supply chain gives Micron a pretty big edge even if there's delays. As with the demand side, they're sold out for 2026 and into 2027. I see a structural demand shift, not a cycle this time around, people can interpret it differently though.
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美光估值偏低，机构逢低买入，目标价$672，2027年或达$1.5T市值。
$MU 远期市盈率仍约为 11.6 倍。 它正在预示： - 营收同比增长 133% - 每股收益(EPS)同比增长 319% 这就是所谓的存储超级周期(memory supercycle)的原因。 即使本月已上涨 40%+，它甚至尚未完全完成估值重估(re-rating)。 按当前价格，它仍被估值为一家缓慢增长的大宗商品公司，目标价 $387。 这就是为什么在估值重估过程中，每一次回调都被机构买入，因为高带宽内存(HBM)现在极具价值。 在我看来，鉴于当前的增长/利润率，美光(Micron)至少值得 20 倍远期市盈率，市值约 7500 亿美元，即每股 $672。 到 2027 年，如果美光交易在 1.5 万亿美元市值，我不会感到惊讶。
原推 ↗英文原文
$MU forward P/E is still ~11.6 It's projecting: - 133% Y/Y Revenue Increase - 319% Y/Y EPS Increase This is called the memory supercycle for a reason. Even after a 40%+ this month, it's still hasn't even been fully re-rated yet. At current prices, it would still be valued like a slow growth commodity at $387. This is why every single dip gets bought by institutions during the re-rating process, since HBM is now extremely valuable IMO Micron deserves at least a 20 fwd P/E at today given growth/profit margins, ~$750B so $672/share. In 2027, wouldn't be surprised if Micron was trading at $1.5T.
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白宫与科技巨头共同背书，推动英特尔成功。
@Crypto_fox7 没错。并不是每天都有像 $INTC 这样得到白宫背书的公司。政府和所有像 $NVDA 和 $APPL 这样的“七巨头”公司都在推动英特尔取得成功。
原推 ↗英文原文
@Crypto_fox7 Yep. Not every day do you get a company backstopped by the White House like $INTC. Both the government and all the Mag7 companies like $NVDA and $APPL are just pushing for Intel to succeed.
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看好Intel受白宫政策补贴及巨头背书，具高非对称性回报潜力。
永远不要做空白宫。 $INTC 可能是半导体领域目前最具非对称性（asymmetrical）的多头机会之一。https://t.co/ow1BO48XO4 （该推文引用了 @aleabitoreddit 的推文，引用内容仅供理解语境）： $INTC 基本上就是半导体界的 $RKLB 之于 SpaceX，是我最大的持仓之一。 众所周知，随着 Nvidia 到 Apple 等巨头背书，它终将赶上 $TSM，成为美国政府事实上的半导体臂膀。 这只是时间问题。 在 $2340 亿市值（$TSM 为 $1.5 万亿）下，仅凭等待就有约 7 倍回报。 无论是 2 年还是 10 年，我坚信 Intel 是市场中罕见的机会，你可以投资白宫以及无限印钞机补贴的烧钱晶圆厂（foundry）开发。 这不是赢家通吃，半导体 TAM（总可寻址市场）将持续增长，$TSM 是很好的多头，但当 Intel 产能可用时，从 Google 到 Nvidia 的美国超大规模云服务商（hyperscalers）将迫于压力使用 Intel。 美国不会让 Intel 失败，这是基于美国政策的高确信度（high conviction）多头。
原推 ↗英文原文
Never bet against the White House. $INTC is probably one of the most asymmetrical longs in the semi space right now. https://t.co/ow1BO48XO4
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美股AI/半导体股隔夜恐慌后大幅反弹，验证地缘博弈下的供应链套利机会。
$ONDS 至 $LPTH 现已反弹 +7.16% 至 +9.0%。 甚至 $INTC 也上涨了 4.4%。 许多股票在隔夜交易中下跌了 -5% 至 -8%。 还有其他人利用 TACO 交易恐慌获利吗？ https://t.co/uwp9sW7sQn
原推 ↗英文原文
$ONDS to $LPTH are now back up +7.16% to +9.0%. Even $INTC is up 4.4%. Many were down -5% to -8% overnight trading. Did anyone else take advantage of the TACO trade panic? https://t.co/uwp9sW7sQn
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特朗普关税恐慌是估值礼物，国防与本土AI供应链将受益于政策博弈。
关于$OSS -6.1%至$ONDS -4.85%下跌引发的潜在市场崩盘恐慌很多。但随着市场转红，特朗普已开始降级局势。从特朗普关税的历史来看，我们知道一件事：特朗普非常在意市场： - $AVAV的复制者（Replicator）Switchblade无人机项目 至 - 复制者2（Replicator 2）反无人机系统，$AIRO、$ONDS等可能受益。 1.5万亿美元的拟议国防支出保持不变。 AI建设中的 - $LITE、$COHR在$GOOGL和超大规模ASIC建设中的角色 或 - $INTC、$SKY在美国本土硬件中的角色 均未改变。我们正见证历史上最大的无人机、关键材料储备、AI建设、太空扩张及“美国制造”供应链的扩张。 我认为这种波动往往是“估值礼物”，因为这些都是空头威胁。欧美领导人之间的泄露消息显示对话正在进行。特朗普只是在用“极限施压”话术看能谈判到什么。当然，特朗普将标普500视为其实时支持率，这就是为什么他在中期选举前迫使大幅降息。随着美股隔夜转红，我们已看到局势缓和。我们很可能会看到完整的“贸易协议达成”，以便他宣称成功->市场创历史新高。
原推 ↗英文原文
There's a lot of panic about a potential market crash from $OSS -6.1% to $ONDS -4.85% dropping ON. But now, Trump is already starting to de-escalate as markets go red. From the history of Trump's tariffs We know one thing. Trump cares too much about the market: $1.5T in proposed defense spending from - $AVAV Replicator Switchblade drone programs to - Replicator 2 counter-UAV with potential for $AIRO, $ONDS and others. is still the same. Nothing in the AI buildout from - $LITE, $COHR role in $GOOGL and hyperscaler ASIC buildout or - $INTC, $SKY role in US domestic hardware has changed. We're seeing the largest buildup from drone, critical material stockpiles, AI buildout, Space scale-up, and Made in America supply chains in history. My opinion is that this volatility is often a "valuation gift" since these are all empty threats. And the leaked messages between the EU/US leaders shows dialogue is taking place. Trump is just doing his "Maximum Pressure" rhetoric to see what can be negotiated. And, of course, Trump views the S&P 500 as his real-time approval rating, which is why he's forcing so many rate cuts before midterm elections. As US markets go red overnight, we're seeing the walk-back happen already. And we'll likely see that full "trade-deal made" so he can claim he succeeded -> markets hit ATHs.
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格陵兰关税引发恐慌，建议逢低买入美国防、关键材料及本土半导体股。
美股期货因格陵兰关税新闻下跌。 许多欧洲股市热门股现下跌： $ONDS (-8.55%) 或 $RKLB (-7.65%)。 以下是如何从该局势中潜在获利的方法： 第一层：供应链 这是与北约盟友的争端。这威胁到供应链。 许多美国国防系统依赖欧洲组件（德国光学器件、英国/荷兰芯片）。格陵兰是稀土元素(REEs)的巨大潜在来源。 格陵兰受阻意味着美国必须依赖国内来源。 与欧洲的贸易战给国防承包商和其他部门带来混乱。 如果下跌，美国关键材料供应商如 $MP 或瓶颈对冲如 $LPTH 将是良好的逢低买入机会。 第二层：美国直接冲突/战争 战争板块如 ($AVAV 或 $KTOS) 实际上极具韧性，因为从根本上说，争端涉及美国国家安全。 欧洲（莱茵金属、萨博）国防股正在反弹，而美国（如 $ONDS）遭抛售。美国代码被恐惧的欧洲散户投资者错误定价。 国防股可能在“避险”恐慌初期下跌，但它们实际上最终成为与北约盟友紧张关系的主要受益者。（特朗普的事你无法预知）。 如果隔夜或盘前出现大幅下跌，如果发生无差别抛售，这可能是一个良好的买入机会。 第三层：美国半导体供应链/晶圆厂 与欧洲（特别是荷兰/ASML 和德国/蔡司）的贸易战严重损害半导体供应链。 在所有这些痛苦中，垂直整合的“美国制造”硬件公司将受益最大。 如果下跌，像 $COHR、$AMKR 或美国晶圆厂如 $INTC、$GFS 这样的公司可能是良好的逢低买入机会。 这更微妙，因为市场认为它们仍然有风险，因为许多“国内”玩家仍依赖欧洲进口（ASML 光刻、蔡司光学）来运营。 然而，这是关于供应链主权的美国国家安全，这是对美国政府不会让这些公司失败（例如英特尔的国家安全豁免）的美国政策的非对称性赌注。 可能避免： 科技/SaaS 的接飞刀，因为它们被视为“风险资产”，通常被抛售最多，除非情况极端。 _ 鉴于流动性低，欧洲市场可能正在恐慌性抛售至真空。 套利机器人可能会迫使美国隔夜价格下跌以匹配欧洲/期货的“隐含价格”。 然而，如果实际受益于该局势的板块出现跳空低开，这可能是极好的机会。 方向上，市场可能会看跌。 但预计许多这些 -7% 或 -9% 的数字将恢复到合理水平如 -1.5%，有些甚至翻正。
原推 ↗英文原文
US Futures are down due to Greenland Tariff news. Many popular names on EU stock exchanges are now down: $ONDS (-8.55%) or $RKLB (-7.65%). Here's how to potentially profit off the situation: Tier 1: Supply Chains This is a dispute with NATO Allies. This threatens supply chains. Many US defense systems rely on European components (optics from Germany, chips from UK/Netherlands). Greenland is a massive potential source of Rare Earth Elements (REEs). The blockage of Greenland means the US must rely on domestic sources. A trade war with Europe creates chaos for defense contractors and other sectors. US Critical Material providers like $MP or bottleneck hedges like $LPTH would be a good dip buying opportunity if they drop. Tier 2: US Direct Conflict/War War sectors like ( $AVAV or $KTOS ) are actually extremely resilient since fundamentally, the dispute goes back to US National Security. EU (Rheinmetall, SAAB) defense stocks are rallying, while US ( eg. $ONDS ) got sold off. US tickers are being mispriced by fearful European retail investors. Defense stocks might drop initially during "risk-off" panic but they actually end up being the primary beneficiaries of the tension with NATO allies. (you never know with Trump). Any large drops (if they happen) overnight or pre-market, this might be a good buying opportunity if there's an indiscriminate selloff. Tier 3: US Semi Supply Chains/Foundry A trade war with Europe (specifically the Netherlands/ASML and Germany/Zeiss) hurts the semiconductor supply chain immensely. Through all this pain, the vertically integrated "Made in America" hardware companies would benefit the most. Companies like $COHR, $AMKR, or US foundries like $INTC, $GFS might be a good dip buy if they drop. This is more nuanced since markets think they're still risky because a lot of the "domestic" players still rely on European imports (ASML lithography, Zeiss optics) to operate. However, this is US national security for supply chain sovereignty and this is an asymmetrical bet on US policy that they won't let these companies fail (eg. National Security Exemptions for Intel). Probably avoid: Falling knives on Tech/SaaS since they're considered "risk assets" and usually get sold off the most, unless it goes extreme. _ European markets are likely panic-selling into a void, given low liquidity. The arbitrage bots might force US overnight prices down to match the "implied prices" of European/Futures. However, this might be the excellent opportunity if there's a gap-down on names on sectors that actually benefit from the situation. Directionality, markets are likely going to see red. But expect many of these -7% or -9% numbers to recover to reasonable levels like -1.5%, with some flipping positive.
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英特尔因涉国家安全获两党支持，政策利好预期持续。
@traderofstox 我认为关于 $INTC 的问题在于，确保美国本土制造能力（如《芯片法案》）是两党共识。而采取持有10%股份等方式则不然。无论如何，鉴于英特尔已成为国家安全问题，预计其支持将在任何政府任期内持续。
原推 ↗英文原文
@traderofstox I think the issue regarding $INTC is bipartisan ensuring American domestic capability like CHIPS act. Other ways like taking a 10% stake, not so much. Either way support is expected to continue in any administration since Intel is now a national security issue.
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类比特斯拉入华催生比亚迪，担忧台积电赴美建厂可能意外培育出美国本土芯片竞争对手。
我的意思是，$TSM 在美国建厂让我隐约想起当年 $TSLA 去中国生产电动汽车（EV）的情况，不过是反向的。当时大家都认为 $TSLA 通过在中国建厂会成为市场领导者 -> 结果 $BYD 作为副产品崛起，成为了中国本土电动汽车的领导者。我确信会有某种防火墙，更先进的制程节点仍留在台湾，但对于 $INTC 来说，谁也不敢保证。
原推 ↗英文原文
I mean $TSM building in US vaguely reminds me of the time $TSLA went to China for EVs but in reverse. Everyone thought $TSLA would be the market leader by building in China -> then $BYD popped out as China's domestic EV leader as a byproduct. I'm sure there's some sort of firewall with more advanced nodes staying in Taiwan, but you never know with $INTC.
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看好三星、台积电和英特尔，认为2026年三者均将大幅跑赢大盘。
我持有三星、$TSM 和 $INTC 的敞口。它们就像火、水和草系初始宝可梦，选哪个都不会错。- 三星：在存储和代工领域拥有高上行空间，正在承接台积电的溢出订单。- $TSM：拥有惊人的盈利能力/增长，且被广泛使用，产能已满载。- $INTC：基本上由美国政府兜底下行风险，一旦完成建设，相对于 $TSM 有巨大的上行空间。我相信它们在2026年都会大幅跑赢大盘。
原推 ↗英文原文
I have Samsung, $TSM, and $INTC exposure. They're like Fire, Water, and Grass starter Pokemon, can't go wrong with any. - Samsung you have high upside with memory + foundry capturing overflow from TSM. - $TSM, has insane profitability/growth + everyone uses them and they're maxed out. - $INTC is basically US gov capping downside risk + large upside to $TSM once they finish buildout. I'm sure they'll all strong outperform 2026.
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基于美国政策补贴和高确信度，看好Intel长期追赶台积电的7倍回报潜力。
$INTC 基本上就是半导体界的 $RKLB（对应 SpaceX），也是我最大的持仓之一。 众所周知，随着 Nvidia 到 Apple 等巨头的支持，它终将赶上 TSM，成为美国政府事实上的半导体臂膀。 这只是时间问题。 在 $2340 亿美元市值（$TSM 为 1.5 万亿美元）下，仅凭等待就能获得约 7 倍回报。 无论是 2 年还是 10 年，我坚信 Intel 是市场中罕见的机会：你可以投资白宫，以及用无限印钞机补贴现金消耗型晶圆厂开发。 半导体市场并非赢家通吃，总可寻址市场 (TAM) 将持续增长，$TSM 是很好的长线标的，但当 Intel 产能可用时，从 Google 到 Nvidia 的美国超大规模云服务商将承受使用 Intel 的压力。 美国不会让 Intel 失败，这是基于美国政策的高确信度长线投资。
原推 ↗英文原文
$INTC is basically the $RKLB to SpaceX and is one of my biggest positions. Everyone knows it will catch up to TSM as the de-facto semi arm of the US government with Nvidia to Apple backing it. It’s more of a matter of time. At a $234B MC ( $TSM is $1.5T), ~7X return just for waiting. Whether it’s in 2 years or 10 years, I strongly believe Intel is one of the rare opportunities in the market where you can invest in the White House and infinite money printer subsidizing the cash burning foundry development. It’s not winner takes all, the TAM of semis will keep going up, $TSM is a great long, but US hyperscalers from Google to Nvidia would be pressured to use Intel when available. United States won’t let Intel fail, this is a high conviction long on US policy.
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暂无苹果投资英特尔公开消息，但特朗普或知情。
@TheEEInvestor 目前没有任何关于 $APPL 投资 $INTC 的公开披露或新闻。但我认为特朗普作为现任总统可能比其他人知道得更多，而且他在直播采访中倾向于说出一些不该说的话。
原推 ↗英文原文
@TheEEInvestor There's no public disclosures or news at all regarding $APPL investments in $INTC yet. But I'd say Trump probably knows a bit more than others as the sitting President and is prone to say more things than he should in his live interviews.
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特朗普泄露苹果投资英特尔，致INTC盘后暴涨
如果你想知道为什么 $INTC 盘后暴涨： 特朗普在一次采访中意外泄露了 $APPL 已投资的消息。https://t.co/1B8JMOc5BV
原推 ↗英文原文
If you’re wondering why $INTC is flying after hours: Trump accidentally leaked in an interview that $APPL invested. https://t.co/1B8JMOc5BV
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博主分享近期选股大幅上涨，并征集5倍股研究标的。
一月份太疯狂了。 毫不夸张，我的许多选股在过去几天涨幅超过60%。 图表中甚至没有包含 $AXTI +60% 或 $VLN +60%。 更不用说像 $CRDO 25%+ 或 Intel 25%+ 这样较小的涨幅。 如果需要更多5倍股的研究标的，如果你有想法或投资论点，请告诉我。 https://t.co/VWO2l8yn87
原推 ↗英文原文
January is wild. Not even joking, many of my picks are up 60%+ over the past few days. Didn’t even include $AXTI +60% or $VLN +60% in the charts. While leaving out smaller rallies like $CRDO 25%+ or Intel 25%+. Need more 5x stocks for research if you have ideas or a thesis. https://t.co/VWO2l8yn87
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反驳对英特尔的悲观定价，强调其国家安全地位及政府支持。
抱歉，但Stacy如果在用标准财务模型对$INTC进行建模，并将其定价为一家烧钱的代工厂，那简直是在开玩笑。从国家安全的角度来看，它现在已是美国政府事实上的半导体臂膀。无限的印钞机不会让它失败。如果$NVDA或其他公司有任何机会，他们也会受到压力去帮助英特尔。看清这一现实绝非退化。如果Bernstein想给出准确的预测，他们需要审视所有角度，而不是因为特朗普而忽略最大的顺风因素。
原推 ↗英文原文
Sorry but Stacy is trolling if they are applying standard financial modeling to $INTC and pricing it like a cash burning foundry. It’s the unspoken de facto semi arm of the US government for national security at this point. The infinite money printer won’t let it fail. And any chance $NVDA or others get, they’ll be pressured to help Intel. It’s not degenerate at all to see that reality. If Bernstein wants to give an accurate projection they need to look at all the angles instead of ignoring the biggest tailwind because of Trump.
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分析SKC和SHMD在CPO及半导体供应链中的机会。
谢谢！虽然还有很多遗漏，但我仍在深入研究它们。 $SKC/Absolics（市值约25亿美元）作为共封装光学(CPO)领域的首发者，且美国政府深度参与，对于$NVDA、$AVGO/$MVRL而言颇具看点。 $SHMD（市值约2.5亿美元）也很有趣，因为$AVGO可能是其客户，且他们可能处于$INTC和三星的路线图之中。 但总体而言，市场提供了大量有趣的机会。
原推 ↗英文原文
Thanks! There's a lot I'm missing but still doing a lot of research into them. $SKC/Absolics (~$2.5B MC) was interesting for $NVDA, $AVGO / $MVRL CPO play as the first-to-market with US Government heavily involved, $SHMD (~$250m) was also pretty interesting too since $AVGO was a likely customer and they're probably on $INTC, Samsung roadmaps. But generally market presents a ton of interesting opportunities.
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2026年1月1日美股评级：推荐SMCI、INTC等复苏及AI基建标的，回避高估量子及零售股。
欢迎来到2026年。1月1日评级： 强烈买入： $TTD $SMCI $AIRO $INTC $HIMS $AXTI $TSM $NBIS $CIFR 三星电子 (KRX: 005930) $HUT $IREN $WULF $GLXY $TSSI $META $ETOR $CRCL 买入： $KRKNF $ONDS $GEMI $NVDA $MU $AMKR SK海力士 $SNAP $RDDT $AAOI $COHR $FISV $FLY $DJT $LITE $AMZN $MRVL $AVGO $OSS $BULL $ORCL $CRDO $ALAB 回避： $RGTI $QBTS $RGTI $BMNR $ETH $PLTR $WMT _ 简而言之的想法： TTD - 估值完全重置，年初至今下跌67%，叠加年底税务抛售。进入2026年是极佳的复苏标的。 SMCI - 仅因推迟一个季度以符合新Blackwell规格而交易得像一家困境公司。前瞻收入同比增长50%，市销率(P/S)接近0.5。税务收割后的极佳复苏标的。 AIRO - 资产负债表约1/6为现金。随着政府加速投资，无人机领域备受追捧。另一只被抛售的IPO新股。进入2026年，尤其在热门细分领域，是极佳的复苏标的。市销率约3.8倍，相比ONDS的25-30倍市销率，当然其教育等业务对利润率计算有很大干扰。 INTC - 它实际上已成为美国政府的半导体臂膀。超大规模云厂商很可能被激励（强烈施压）在有机会时优先使用Intel而非TSM、三星等。我不会赌美国政府会输。 HIMS - 进入2026年前大幅抛售。从70多美元下跌。销售/流量下降，但Zava收购/增长应在2026年带来巨大顺风。尤其是有数亿美元回购，前两个月是强劲的复苏标的。 AXTI - 之前发过相关论点。CEO称“40%的磷化铟(InP)供应链”，InP将是2026-2027年超大规模AI建设中的巨大瓶颈，直到2028年有足够时间通过工程手段绕过它。 TSM - 我引用过很多次。利润率提升。需求最大化。未来几年极好的复利增长者。 三星电子 - 受益于代工/存储。在所有顺风助力业务方面简直是金蛋。 NBIS - 极强买入，$7-90亿年度经常性收入(ARR)，它实际上是5家不同公司，每年三位数增长。管理层引用20-30%息税前利润(EBIT)率，这只是等待游戏。 CIFR, HUT, IREN, WULF, GLXY - 整个数据中心板块在Oracle/OpenAI担忧后极度超卖。OpenAI最近融资$400亿，$AMZN再投$100亿等。因此关于资本支出(Capex)的担忧已大幅降低风险。这也是多方面的，例如比特币下跌影响$CIFR资产负债表，$GLXY在加密领域。但总体而言，新云(neoclouds)板块有巨大的复苏/扩张潜力。 TSSI - 类似SMCI。递延收入=核弹级利空。税务收割后应恢复，且大量收入将被确认。 META - 财报后因一次性税务问题遭遇巨大算法抛售。他们还削减了现实实验室等部门的资本支出/运营支出，这应为2026年的每股收益(EPS)带来巨大顺风。 ETOR - 市值$28亿，坐拥$12亿现金，仍保持双位数同比增长。$1.5亿回购应是不错的顺风，且年初至今表现带来的税务收割效应应会消退。 CRCL - 稳定币论点在2026年应非常稳固。 买入 KRKNF - Anduril合作伙伴+规模。2026年可能转板，国防支出带来大量顺风。 ONDS - 收入增长极具爆炸性，到处都有新的$1000万合同。大量现金余额资助研发。市销率很高，但该领域的投机性领导者如RKLB有估值溢价。 GEMI - 通常我不喜欢交易所，但Gemini从$30+ IPO跌至$10以下。极佳的复苏标的。 NVDA - 巨大的积压订单。大家都知道Nvidia的牛市逻辑。 MU - 存储火热。 SK海力士 - 存储火热。 AMKR - 受益于“美国制造”芯片生产扩张。 SNAP - 存储运营支出削减，存储货币化增加收入，Perplexity贡献$4亿。季度收入$15亿。如果他们将所有这些转化为$10亿+自由现金流(FCF)/年，即使收入完全停止增长，也会完全重估Snap。 RDDT - 说实话，未来10+年不会消失。它是社交媒体界的Robinhood，通过新的收入货币化方式极速增长，且极其盈利。 AAOI - Amazon, MSFT ASIC规模化的互连标的。 COHR - 受益于下一代ASIC的光子学部署。 FISV - 财报后抛售过多，税务收割后是强劲的复苏标的。 FLY - SpaceX IPO带动太空领域火热。税务收割结束后应表现良好，且即将有Northrop的中期催化剂。 DJT - 我从没想过会把它放在这里，但这只是因为他们的TAE合并。 LITE - Google TPU部署带来巨大的物料清单(BOM)，估值有吸引力。Google TPU修正预估后轻微抛售，但它基本存在于每个超大规模ASIC部署中。 AMZN - 七大科技巨头中估值不过高的一个。 MRVL - 分析师误导导致抛售，进入2026年强烈买入。尤其是MSFT Maia收入翻倍时，Marvell当前收入也将随之增长。 AVGO - 像NVDA一样，随着AI基础设施部署加速，强劲的长期持有标的。 OSS - 我曾发帖推测他们是Anduril的供应商之一。但无论如何，边缘计算在2026年将很火热，其1.8亿市值呈现有吸引力的上行空间。 BULL - 类似Robinhood，拥有巨大用户群，但他们只需找出货币化方法。 Oracle - 我认为抛售过多。几个月前我将其列入回避，但从$330跌至$190后，尤其在OpenAI再融资$400亿后，再次具有吸引力。 CRDO - 极高利润率，数据中心部署所需的必要连接。 ALAB - 极高利润率，数据中心部署所需的必要连接。 回避： 有很多在“高估名单”上的东西，比如$RKLB，我喜欢但除了这些之外我不会说回避它们。 RGTI, QBTS, RGTI - 量子名称仍然高估，且可能在未来几年无法交付自由现金流。 BMNR, ETH - 如果你看过我的ETH帖子，我不太看多，因为每天ETH燃烧量只是个位数到低双位数，这简直是笑话。 PLTR - 最被高估的AI名称之一。 WMT - 这怎么是40倍市盈率？这是沃尔玛？ __ （这些基于今日价格） 简而言之： Circle, Etoro, AIRO, Klarna, Figma等IPO名称在下跌+税务收割后进入2026年呈现有吸引力的上行空间。 大量如SMCI, HIMS等过去3个月下跌约40%的名称，在税务收割+一月效应后是极好的波段/复苏交易标的。 许多如FiserV或The Trade Desk等暴跌的名称在税务收割后也是良好的复苏交易标的。 许多数据中心股票如nebius, iren, cifr, wulf, galaxy也是极好的复苏交易标的。 许多其他领域如存储、瓶颈、光子学等在2026年只是极好的长期持有标的，尽管各自都触及历史新高。 仍有相当多高估的名称，从量子到某些太空股票（如planet或rocketlab），特定AI名称如Palantir到零售股票如沃尔玛，我可能会暂时回避，直到有轻微回调。 这只是一个简而言之，如果我仅做短期交易（非长期），但欢迎提问。
原推 ↗英文原文
Welcome to 2026. Jan 1st ratings: Strong Buy: $TTD $SMCI $AIRO $INTC $HIMS $AXTI $TSM $NBIS $CIFR Samsung Electronics (KRX: 005930) $HUT $IREN $WULF $GLXY $TSSI $META $ETOR $CRCL Buy: $KRKNF $ONDS $GEMI $NVDA $MU $AMKR SK Hynix $SNAP $RDDT $AAOI $COHR $FISV $FLY $DJT $LITE $AMZN $MRVL $AVGO $OSS $BULL $ORCL $CRDO $ALAB Avoid: $RGTI $QBTS $RGTI $BMNR $ETH $PLTR $WMT _ TLDR thoughts: TTD - Complete valuation reset dropping 67% YTD, compounded by EOY tax sell-off. Great recovery play going into 2026. SMCI - Trades like distressed company just because they delayed revenue by 1 quarter for new blackwell specs. Forward revenue is increasing 50% Y/Y, P/S close to .5 now. Great recovery play from tax harvesting. AIRO - Roughly ~1/6th balance sheet was cash. Everyone seems to be into drones, especially with accelerated gov inevstments. Another IPO name that got sold off. Great recovery play going into 2026 with esp. hot segment. Roughly ~3.8x P/S compared to ONDS trading at 25-30 P/S, but obviously there's quite a lot of other businesses like their education sector which messed up margin calculations quite a bit. INTC - It's literally become the semi arm of the US government. Hyperscalers will likely be incentived (strongly pressured) to use Intel whatever chance it gets over TSM, Samsung, etc. I would not bet against the US government. HIMS - Huge selloff going into 2026. Down from $70's. Sales/Traffic is down, but Zava acquisition/growth should add a huge tailwind going into 2026. Esp. with few hundred mill buybacks, strong recovery play first two monts in. AXTI - Posted thesis on this earlier. CEO - "40% of Inp supply chain", InP will be a huge, huge bottleneck for hyperscaler AI buildout 2026-2027 until there's enough time to engineer around it in 2028. TSM - I've covered this quote a lot. Increasing margins. Maxed out demand. Just extremely good compounder next few years. Samsung Electronics - benefits from foundry/memory. just golden egg regarding all the tailwinds helping the buisness. NBIS - Extremely strong buy, $7-9B ARR, it's literally 5 different companies growing triple digits Y/Y. management quoted 20-30% EBIT margins, it's just a waiting agme. CIFR, HUT, IREN, WULF, GLXY - Whole datacenter space is extremely sold off after Oracle/OpenAI fears. OpenAI recently raised $40B, another $10B from $AMZN, and more. So a lot of fears regarding capex spend has been de-risked. It's multifaceted too, eg. Bitcoin drop, affects $CIFR balance sheet, $GLXY in crypto space. But generally huge recovery play/ramp for neoclouds sector. TSSI - Similar to SMCI. deferred revenue = nuke. Should recover after tax harvesting + lot of revenue gets recognized META - Huge algorithmic selloff post earnings due to one-time tax. They also cut capex/opex spend of their reality labs and other departments and this should be a huge tailwind for EPS going into 2026. ETOR - Literally sitting on $1.2B with a $2.8B marketcap and growing double digits Y/Y still. $150M buyback should be a nice tailwind, and tax harvesting from YTD performance should subside. CRCL - Same as stablecoin thesis should be really solid going into 2026 Buy KRKNF - Anduril partner+ scale. Probable uplisting in 2026, lot of tailwinds from defense spending. ONDS -pretty explosive revenue growth, new $10m contracts left and right. large cash balance to fund r&d. Pretty high p/s but there's valuation premiums for speculative leaders in the space like rklb. GEMI - So i typically dont like exchanges, but gemini got nuked from $30+ IPO sub $10. pretty solid recovery play. NVDA - Huge backlog lol. Everyone knows bull case for nvidia MU - Memory is hot SK Hynix - Memory is hot AMKR - benefits from "made in america" chip expansion in prod. SNAP - Opex Cut from memory, increase revenue from memory monetization, $400m from perplixity. $1.5B revenue/quarter. They could literally stop growing revenue complelty if they convert all of that to $1B+ FCF/year, it would re-rate snap completly. RDDT - This is not going anywhere for the next 10+ years tbh, it's like robinhood of social media, growing extremely fast from new ways to monetize revenue, and just extrmeely profitable. AAOI - interconnect play for amzn, msft asic scale up. COHR - benefits from photonics rollout for next gen asics. FISV - Nuked a bit too much post ER, strong recovery play esp. post tax-harves.t FLY - Space is hot from SpaceX IPO. Should do well given tax harvesting is over, and they have medium lift coming up with northrop. DJT - I never thought i'd put this here lol, but this is just because of their TAE merger. LITE - Large BOM from Google TPU rollout, attractive valuation. Slight selloff after Google TPU revised est. but it's basically in every single hyperscaler asic deployment. AMZN - one of the mag7 that's not overvalued MRVL - Selloff from analyst misinformation, strong buy going into 2026. Especially with msft maia revenue doubling Marvell's current revenue when it ramps up AVGO - Like NVDA just strong long, as AI infrastructure deployment ramps up OSS - I made a post speculating that they're one of andruils' suppliers. but regardless, edge computing will be hot 2026 and its 180m mc presents attracctive upside. BULL - similar to robinhood where they have a huge userbase, but they just need to figure out monetization Oracle - Sold off a bit too much imo. I put this on avoid months ago but after the from from $330 to $190, it's more attractive again esp. after openai raised another $40B CRDO -extremely high margin, necessary connectivity for dc rollout ALAB - extremely high margin, necessary connectivity for dc rollout Avoid: There's a lot of stuff on the "overvalued list" like $RKLB that i like but I wouldn't quite say avoid it either aside from these. RGTI , QBTS, RGTI - Quantum names are still overvalued and likely won't deliver fcf in the next few ytears. BMNR, ETH - if you saw my eth post, not exactly bullish since the amount of ETH burn is just single-low double digits every day, which is a joke. PLTR - one of the most overvalued ai names WMT - How is this 40 p/e? This is Walmart? __ (these are based on today's prices) TLDR: IPO names like Circle, Etoro, AIRO, Klarna, Figma, present attractive upsides post drop + tax harvesting going into 2026. Tons of names like SMCI, HIMS that dropped 40% or so past 3 months, are amazing swing/recovery trades post-tax harvest + Jan effect. Lot of the names that doom dropped like FiserV or The Trade Desk present good recovery trades too post-tax harvest. Many datacenter stocks like nebius, iren, cifr, wulf, galaxy, are amazing recovery trades too. Lot of other segments like memory, bottlenecks, photonics, and others are just great longs in 2026, despite each hitting ATHs. There's still quite a lot of overvalued names from Quantum, to certain Space stocks (eg. planet or rocketlab), specific AI names like Palantir to retail stocks like Walmart that I would probably avoid for the time being until there's a slight correction. This was a TLDR just if I'm short term trading-only (not long term) but feel free to ask questions.
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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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台海地缘风险可控，TSM垄断地位稳固且领先INTC至少8年。
问得好，对于 $TSM 来说，台湾入侵问题始终是一个令人烦恼的逆风因素。这是一个过于关键的国家安全问题，我确信美国会与任何威胁台湾的国家开战，因为台湾处于整个供应链和 AI 基础设施的核心地位。而且我确信没有哪个国家愿意与美国直接开战。至于护城河部分，$TSM 几乎是全球都在使用的垄断者。美国支持 $INTC 不会改变其至少落后 8 年的事实。
原推 ↗英文原文
Good question, for $TSM it's always going to be an annoying headwind in terms of an invasion of Taiwan. It's too critical of a national security issue and I'm confident the US would go to war with anyone who threatens Taiwan due to the fact they're central to the whole supply chain and AI infrastructure. And I'm confident no country would want to get in a direct war with America. As for the moat part, $TSM is kinda a monopoly that everyone in the world is using. US backing up $INTC won't change the back that they're way too far behind for the next 8 years at least.
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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。
原推 ↗英文原文
Wow I cooked insanely hard with this ETF, everything is up a **** ton. Anyway, some company changes I'd make + explanations: $AMD - +10% (rerate) $FLY - +3% (new) $WLAC - +1% (new) $MU - +1% (new) $FLNC - .5% (new) $SEI - .5% (new) $DFLI - - .25% (new) _ Trim (Tax harvesting) $ORCL $LULU $META $UPWK $ETOR $SNAP Misc small caps _ Here's an explanation $AMD - Just got $100B+ in forward revenue lol, they almost doubled their quarterly revenue overnight and hasn't even been priced in yet. Extremely strong buy $FLY - $4.4B valuation doing small-medium lift launches like $RKLB. Reminds me of RocketLab when they first started, risk-reward is good. $WLAC - Neocloud IPO at $600m valuation (low) for something doing 75%+ EBITDA gross margin + 250% rev from last year + likely backstopped by Mag7 $MU - Memory in demand given the amount of infra required by Stargate + OpenAI $FLNC + $SEI - Energy Play (high risk high reward) $DLFI - Battery Play (high risk high reward) Trim $ORCL - Having trouble with GPU buildout, just goes to show the moat between hyperscalers and Neoclouds like $NBIS. Higher upside just buying Neoclouds. $LULU, $META, $UPWK, $ETOR, $SNAP. - Hasn't gone up much, we're playing as aggressive as possible with winners and will buy back once tax harvesting is done, eg. swap for $AMD, and higher return triple rate cut returns. Will buy back near EOY once tax harvesting is done.
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博主分享了一份包含多只股票权重的投资组合分散化示例。
@DigestingX 我在这里写了一个投资组合分散化的例子：https://t.co/R7eMeeqR29 （引用内容：我收到了很多关于股票权重的提问。我会构建的投资组合是：30% $NBIS，6% AMZN，5.5% TSM，5% BTC，5% LULU，4% UNH，4% $RKLB，4% LTC，3% ORCL，3% TGT，3% GRAB，2% $IREN，2% META，2% HOOD，2% HIMS，2% AMD，2% NVO，1.5% CRDO，1% BITF，1% ASTS，1% SG，1% UPWK，1% MP，1% FOUR，1% ETOR，1% INTC，1% COIN，1% SMCI，1% MRVL，1% DAVE，0.5% DLO，0.5% MELI，0.5% SNAP，0.5% CRWV，0.2% ONDS，0.2% NFE，0.2% TSSI，0.2% BKKT，0.2% GRRR）
原推 ↗英文原文
@DigestingX I wrote an example of portfolio diversification here https://t.co/R7eMeeqR29
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分享9/25市场观点、定投计划及详细投资组合权重。
9月25日的每日思考+市场下跌分析，如果你喜欢我的见解： 1. 三次降息（Triple rate cut）的概率从65%降至56%。这影响很大，因为人们正在提前交易（front-running）降息预期。无论如何，任何降息通常都会带来大量资金流入，因此对几个月后的市场总体看涨。鲍威尔关于市场估值过高的观点在某些股票上确实成立。Oklo、Quantum等严重高估，但我从不做空。甚至像RKLB这样我喜欢的股票也严重高估。但由于通胀，场外资金太多，除了股票、房地产和BTC外别无他物可持。三次降息意味着他们希望“抢椅子游戏”（musical chairs）再持续8个月。我会开始担心明年夏天。 2. 市场过去两天下跌，我会利用这个机会在$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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记录今日持仓价格，对比一年期美债与佩洛西持仓表现。
今天标记一下，看看美国国债ETF在一年后的表现。 $LAC 锂美洲公司 - $5.29 $INTC 英特尔 - $29.34 $FNMA 联邦国民抵押贷款协会 - $12.82 $MP MP材料 - $74.70 $XUSS 美国钢铁 - $47.55 美国政府会跑赢南希·佩洛西吗？
原推 ↗英文原文
Bookmarking this to see how the US Gov ETF performs in 1 year time today. $LAC Lithium Americas Corp - $5.29 $INTC Intel - $29.34 $FNMA Federal National Mortgage Association - $12.82 $MP MP Materials - $74.70 $XUSS US Steel- $47.55 Would the US Gov outperform Nancy Pelosi?