$ALAB
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AMD活动或确认CPO路线，利好SIVE等上游光模块供应商。
情况稍显微妙。基本上，$AMD 的 SF 活动将在明天（周三/周四，7月22-23日）举行。根据杰富瑞(Jefferies)的客户笔记，AMD 预计将提供更多关于其可能的大规模扩展共封装光学(CPO)路线图及 MI500 的披露信息。如果他们确认 CPO 路线，这在主题上将是积极的，因为这意味着不仅仅是 $NVDA 在推动这一转型。至于 $SIVE，如果确认他们直接处于 AMD 供应链中，我们将获得更清晰的认知。目前，可以通过 $GFS（据报道参与 AMD MI500 CPO 工作）或 AYAR（AMD 投资的公司）进行映射，但尚无正式确认。因此，如果你正在交易：- CPO 主题利好：MI500 明确承诺采用 CPO/光互联 UALink。- AMD 披露使用 Ayar Labs 或 GF SCALE 用于 MI500 CPO：鉴于 $SIVE 是上游激光器供应商/参考激光器，这对他们将极其利好。目前，杰富瑞的 Blayne Curtis 预计 AMD 将与 $ALAB 合作 UAL，与 $AVGO 合作 ESUN……但关键细节如下：“我们关注 AMD 是否承诺基于 CPO 的大规模扩展解决方案，以及谁提供光引擎”。周三/周四我们将通过供应链获得更广泛的认知，今天尚早，难以定论。
英文原文
It's slightly more nuanced. Basically, $AMD SF event is tomorrow, Wed/Thurs (July 22, 23). From Jefferies client note, AMD is expected to provide additional disclosures around their likely scale-up CPO roadmap + MI500. If they confirm CPO route, would positive thematically since it's not just $NVDA forcing the transition. As for $SIVE, we'll get a better read if they're directly in AMD supply chains. Since right now, it's possible to map it through $GFS (reportedly involved in AMD MI500 CPO work) or AYAR (which AMD invested in). But no formal confirmations. So if you're turning in: - CPO thematic positive: MI500 explicitly commits to CPO/optical UALink. - AMD gives details using Ayar Labs or GF SCALE for MI500 CPO: That would be extremely positive for $SIVE, given they're the upstream laser supplier / reference laser. Currently, Blayne Curtis from Jefferies expect AMD to work with $ALAB on UAL and $AVGO on ESUN... but juicy details are here: "We are looking for whether AMD commits to a CPO based scale up solution and who supplies the optical engine" We'll get a broader read through on the supply chain come Wednesday/Thursday, too early to tell today.
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回顾CXL内存池化概念股ALAB和MRVL过去4个月的大幅上涨。
做多CXL（Compute Express Link，计算快速链接）以实现内存池化的最佳时机是4个月前。 $ALAB 从 $117 涨至 $440，涨幅 276% $MRVL 从 $79 涨至 $309，涨幅 291% https://t.co/7XmXHyXgb1
英文原文
Best time to long CXL for memory pooling was 4 months ago. $ALAB up 276% from $117 -> $440 $MRVL up 291% from $79 -> $309 https://t.co/7XmXHyXgb1
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Amazon 的 warrant 协议会带来放量
@PhotonCap 基本上每次 $AMZN 有像 $ALAB 2024、$AAOI 2026 这种 warrant 协议时，量产订单都会起飞。
英文原文
@PhotonCap Basically every time $AMZN has these warrant agreements like $ALAB 2024, $AAOI 2026, volume orders go brrr
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回应外界质疑，强调自己分享的是想法与回报，不需要靠炫富来证明。
谢谢你替我说话。去年我只有几百个关注者、发出 600%+ 收益时，大家都还挺支持的。 现在我有 10 万+ 关注后，反而多了无尽的嫉妒，或者一些莫名其妙的评论，比如： - “除非他们晒净资产，不然就是拿 2000 美元在交易”： 我不需要像其他网红那样发跑车或名表来证明自己是个好交易员。对我来说，最重要的是想法，而收益率已经证明了这些想法在市场里是对的。 - “拉盘砸盘”：几乎每只我持有的股票都保住了涨幅，比如 $AXTI 都涨了 500%+？我大部分收益其实还没兑现。 我从开始发帖以来，自己点名过的高信念标的，几乎都是绿的：$NBIS、$CRCL、$TSM、$RKLB、$HOOD、$ALAB、$CRDO。 也有一些新的，比如 $RDDT，但它现在也只回撤了大概 6-8%，还需要时间兑现。 还有一些更小的标的，比如 $LPTH 或 $VLN，虽然还没兑现，但从发帖以来也就跌了大约 10% 左右，具体取决于进场点，并不是因为它们基本面不好就直接崩掉。 我发的是几十只股票，所以拿其中几只还没跑出来的来代表我全部做过的东西，这真的很荒谬。如果你把所有标的等权平均，你会发现整体还是很绿的。 - “偷票”：很多这些股票都已经存在很多年了，过去也有成千上万的人做多过。 市场之所以对它们反应不同，是因为我在帖子里做了新的信息整合，或者我把它和一个别人没想到的催化剂联系了起来。 以前有人说他们先发现了 $OSS，但它之所以上涨，是因为我把它和委内瑞拉入侵联系起来了（这才是新的）。只是说一句“边缘 AI，看多 $OSS”其实什么都不说明。 以前有人说他们先发现了 $RPI，但它上涨的原因，是因为我第一个把它和 OpenClaw 的投资逻辑联系在一起（这才是新的）。光说“树莓派适合个人使用”也没什么意义。 例子还有很多，比如 $SOI、$SIVE，或者其他任何股票。 我也没说我是第一个发现 $TSEM 或 $NBIS 之类的人，那些本来就是大家都知道的光子代工厂或者 neocloud，我个人只是喜欢，也愿意跟着上车。 别人想怎么说都行，但市场才是真相的最终裁判。
英文原文
Thanks for coming to my defense. Last year when I posted 600%+ gains with a few hundred followers, everyone was supportive. Now that I have 100k+ followers, there's endless jealously or random comments like: - "Only trading with $2K unless they show net worth": I don't need to post lambos/fancy watches like other influencers to prove I'm a good trader. My opinion is ideas what matters the most, and the % return validates that they're correct in the market. - "Pump and Dump": Almost every stock held their gains like $AXTI is up 500%+? Most of my returns are unrealized. Every high conviction stock I've named over time since starting is green: $NBIS, $CRCL, $TSM, $RKLB, $HOOD, $ALAB, $CRDO. There's new ones like $RDDT but that's only down ~6-8% and needs time to play out. There's other smaller picks $LPTH or $VLN that haven't but they're only down like 10% from posting or more depending on entry point and don't just crash because they're all fundamentally good picks. I post tens of stocks, so cherry picking a few that haven't played out yet to represent everything I've done is just ridiculous. If people just take the equal weighted average of everything they're way green. - "Stealing Picks": Many of these stocks have been around for years. Thousands of different people have been long at one point in time. The reason markets react differently is I either bring novel information synthesis to a post, or I time it with a catalyst others don't. People were claiming they found $OSS first, but the reason it went up from $6 was because I linked it to Venezulea's invasion (which was novel). Just saying "edge AI, go long on $OSS doesn't mean anything". People were claiming they found $RPI first, but the reason it went up was because I was the first to link it OpenClaw as an investment thesis (which was novel). People claiming "raspberry pi for personal use doesn't mean anything". List goes on and on with $SOI or $SIVE or any other stock. I'm not claiming I'm the first either to stuff like $TSEM or $NBIS either, that's already a well known photonics foundry or neocloud, I personally just liked it and wanted to hop ont he bandwagon. People can say anything they want but markets are the final arbiter of truth.
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说自己去年看多 ALAB 和 CRDO，今年则转向纯光子方向，并会在仓位变化时公开说明。
@StephanC86 我去年发 thesis 的时候，是做多 $ALAB 和 $CRDO 的。 但今年我已经转向纯光子方向了。 如果我改变仓位，我通常也会发帖说明。不过我一天会发很多帖子，而 X 的算法又不会把大部分内容推给关注者……
英文原文
@StephanC86 I was long on $ALAB and $CRDO last year when I posted my thesis. But I pivoted to pure play photonics this year. I do make posts when I change my positions, but I make a ton of posts every day and X algo doesn’t show most of them to followers. So not everyone sees my updates.
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看好$AAOI美国制造优势，认为其将超越$LITE并获超大规模云厂商青睐。
我们已经起飞……尽管更广泛的光子学板块下跌，$AAOI 仍上涨 11.26%。 每个人都在寻找下一个从 49 美元涨到 614 美元的 $LITE。 有时候，它可能就坐在你面前？ 高确信度做多：$AAOI。 我真心认为这很容易在明年实现 3 倍增长。 英伟达资助了 $COHR，后者在马来西亚进行 800G/1.6T 的制造。 $LITE 在泰国使用 $FN 进行量产，并在泰国拥有自己的制造设施。 我会不断强调这一点，但 Applied Optoelectronics 是唯一纯正的“美国制造”光收发器标的。 再次重申，两家“美国”光公司将其外包给亚洲，而 $AAOI 多年来一直在德克萨斯州建设产能和晶圆厂。 英伟达刚刚资助了 $COHR 和 $LITE 以建立美国版本，以隔离其最关键供应链的地缘政治风险。 但猜猜谁已经建立了供应链设置，在这方面领先数年？$AAOI。 $LITE（市值 550 亿美元）2026 财年预估约 29.1 亿美元。 $AAOI（市值 71 亿美元）2027 年下半年：43.5 亿美元 ARR（年度经常性收入）。 如果管理层执行到位（且拥有约 40% 的毛利率），$AAOI 实际上将超越 $LITE 2026 财年的预测。 再说一次。$AAOI（70 亿美元市值）如果实现其预测，将超越 $LITE（550 亿美元市值）整个 2026 年的收入预测。 亚洲的 $FN，2026 年预测实际上与 AAOI 完全相同。 12.4% 的毛利率带来约 43.9 亿美元收入。而它的市值是 200 亿美元（且毛利率低得多）。 即使 $AAOI 只达到目标的 70%，其估值也很可能大幅重估，远超当前市值。 简而言之：在这些水平上很难看到 $AAOI 的下行风险，尤其是随着 3-4 家超大规模云厂商（可能是 $GOOGL、$MSFT、$AMZN）希望购买其未来几年的所有产能。而且 $GOOGL 不采用共封装光学(CPO) 路线。 $AAOI 在增长方面超越了 $CRDO、$ALAB、$LITE 等，并受益于光子学主题相对于铜缆（前两者）的优势。 只要管理层交付成果，$AAOI 仍然是 1 年期高确信度的非对称性机会。
英文原文
We've reached liftoff... $AAOI +11.26% despite the broader photonics names down. Everyone is trying to find the next $LITE that went from $49 to $614. Sometimes, it might just be sitting right in front of you? https://t.co/deBAD017ll
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$AAOI 具备全产业链美国制造优势，有望超越同行营收，高确信度看涨。
$AAOI 令人极度兴奋。 如果他们能执行到位，明年市值有望从 70 亿美元重估至 350 亿美元甚至更高。 我将简要概述行业格局及原因： 组装环节： -> 从 $LITE / $COHR 采购激光器 -> 根据蓝图组装 -> 然后销售光收发器(transceiver)。 $FN (亚洲) -> 市值约 200 亿美元。 预计营收约 40 亿美元，毛利率 12.4%。 设计 + 组装： - 从 $LITE / $COHR 采购激光器，设计 800G 和 1.6T 产品 -> 然后销售光收发器。 中际旭创 (中国)：市值约 840 亿美元 毛利率约 46.2%，预计营收约 110 亿美元 新易盛 (中国)：市值约 500 亿美元： 预计营收约 53 亿美元 激光器： - 制造激光器出售给中际旭创 + 新易盛，或制造激光器 + 设计后交给 $FN 组装。 $LITE，市值 550 亿美元： 2026 财年预估营收约 29.1 亿美元（~40% 毛利率） （他们也做激光器以外的业务，例如 $LITE 通过 Cloudlite 进行设计 -> $FN 根据蓝图组装，但并非端到端全流程）。 （$COHR 和 $AVGO 也这样做） _ _ _ _ _ _ 整个供应链（激光芯片、设计和组装） $AAOI 市值 75 亿美元： 2027 年中点预估年化经常性收入 (ARR) 约 45 亿美元（40% 毛利率） - $AAOI 制造激光器（像 $LITE），从零开始设计（像中际旭创），然后像 $FN 一样组装： -> $AAOI 内部完成 $LITE / $COHR 的激光器制造 -> $AAOI 完成中际旭创/新易盛的光收发器设计。 -> $AAOI 完成 $FN 的组装。 这实现了全环节的利润率扩张/优化。 最棒的是，他们预计将超越 $LITE 2026 财年预估的约 29.1 亿美元营收... 通过：2027 年中点实现约 45 亿美元 ARR 当你看到 $AAOI 的 75 亿美元市值。 再看光电子供应链的每个部分，从市值 550 亿美元的 $LITE 到市值 550 亿美元的新易盛。 任何人都能看到如果执行到位，其原始、纯粹的上涨空间。 （该推文引用了 @aleabitoreddit 的推文，引用内容仅供理解语境）: 高确信度做多：$AAOI。 我真切地认为这很容易在明年实现 3 倍增长。 英伟达资助了 $COHR，后者在马来西亚制造 800G/1.6T 产品。 $LITE 使用泰国的 $FN 进行量产，并在泰国拥有自己的制造设施。 我会不断强调这一点，但 Applied Optoelectronics ($AAOI) 是唯一纯正的美国制造光收发器标的。 再次强调，两家“美国”光电子公司将业务外包到亚洲，而 $AAOI 花了多年时间在德克萨斯州建立产能和晶圆厂。 英伟达刚刚资助了 $COHR 和 $LITE 以建立美国版本，以隔离其最关键供应链的地缘政治风险。 但猜猜谁已经建立了供应链布局，在这方面领先数年？$AAOI。 $LITE（550 亿美元市值）2026 财年预估约 29.1 亿美元 $AAOI（71 亿美元市值）2027 年下半年：43.5 亿美元 ARR。 如果管理层执行到位，$AAOI 实际上将超越 Lite 2026 年的营收预测（且毛利率约 40%）。 再说一次。$AAOI（70 亿美元市值）如果达成预测，将超越 $LITE（550 亿美元市值）整个 2026 年的营收预测。 亚洲的 $FN，2026 年预测实际上与 AAOI 完全相同。 ~43.9 亿美元营收，毛利率 12.4%。市值 200 亿美元（且毛利率低得多） 即使 $AAOI 只达成目标的 70%，其估值也很可能大幅重估，远超当前市值。 简而言之：在这些价位很难看到 $AAOI 的下行风险，尤其是 3-4 家超大规模云厂商（可能是 $GOOGL, $MSFT, $AMZN）希望购买其未来几年的所有产能。且 $GOOGL 不采用共封装光学(CPO) 路线。 $AAOI 在增长方面超越 $CRDO, $ALAB, $LITE 等，并受益于光电子主题而非铜缆（前两者）。 只要管理层交付成果，$AAOI 仍然是 1 年期高确信度的非对称性机会。
英文原文
$AAOI is extraordinarily exciting. There is a chance this re-rates to $35B+ or higher next year from $7B if they can execute. I'll give a TLDR of the landscape and a simple explanation why: Assembly: -> Lasers from $LITE / $COHR -> assembles from blueprints -> then sell the transceiver. $FN (Asia) -> ~$20B MC. ~$4B projected revenue, 12.4% gross margins. Design + Assembly: - Buys lasers from $LITE / $COHR, design the 800G and 1.6T -> then sells the transceiver. Innolight (China): ~$84B MC ~ 46.2% gross margins, ~$11B projected revenue Eoptolink (China): ~$50B MC: ~$5.3B projected revenue Lasers: - Creates the Lasers to sell to Innolight + Eoptolink or creates the lasers + design to give to $FN to assemble for them/. $LITE, $55B MC: FY 2026 est. ~$2.91B (~40% margin) (they also do more than lasers, eg. $LITE with Cloudlite does design -> $FN to assemble based on blueprints too, but not the entire process end-to-end). ( $COHR and $AVGO do this too) _ _ _ _ _ _ Entire supply chain (laser chips, design, and assembly) $AAOI $7.5B MC: Midpoint 2027 est. ~4.5B ARR (40% margin) - $AAOI makes the laser (like $LITE), designs it from ground up (like Innolight), then assembles it like ( $FN ): And it's primarily made in the USA. -> $AAOI does the $LITE / $COHR lasers in-house -> $AAOI does Innolight/Eoptolink transceiver design. -> $AAOI does $FN's assembly. This is possible margin expansion/optimization across the board. Best of all they're projected to leapfrogging $LITE's FY2026 projected ~$2.91B revenue... By doing: ~4.5B ARR mid-year 2027 When you look at $AAOI's $7.5B Marketcap. And you look at each part of the photonics supply chain from $LITE at $55B to Eoptolink at $55B. Anyone can see the raw, unadulterated upside if they execute.
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看好$AAOI美国制造优势，认为其营收将超越同行且下行风险小。
高确信度做多：$AAOI。 我真心认为这明年很容易翻3倍。 英伟达资助了$COHR，后者在马来西亚进行800G/1.6T的制造。 $LITE在泰国使用FN进行量产，并在泰国拥有自己的制造工厂。 我会一直强调这一点，但Applied Optoelectronics是唯一纯正的“美国制造”光收发器标的。 再次重申，两家“美国”光通信公司将业务外包到了亚洲，而$AAOI则花了多年时间在德克萨斯州建设产能和晶圆厂。 英伟达刚刚资助了$COHR和$LITE以建立美国版本，旨在将其最关键的供应链与地缘政治风险隔离。 但猜猜谁已经建立了供应链布局，在这方面领先数年？$AAOI。 $LITE（市值550亿美元）2026财年预估营收约29.1亿美元。 $AAOI（市值71亿美元）2027年下半年：43.5亿美元年化经常性收入(ARR)。 如果管理层执行到位（且拥有约40%的毛利率），$AAOI实际上将超越$LITE 2026财年的预测。 再说一次。如果$AAOI实现其预测，它将超越$LITE（市值550亿美元）整个2026年的营收预测。 亚洲的$FN，2026年预测实际上与AAOI完全相同。 营收约43.9亿美元，毛利率12.4%。且其市值为200亿美元（毛利率低得多）。 即使$AAOI只达到目标的70%，其估值重估很可能远超当前市值。 总结：在这些价位上，$AAOI很难看到下行风险，尤其是3-4家超大规模云厂商（可能是$GOOGL、$MSFT、$AMZN）希望购买其未来数年的所有产能。且$GOOGL不采用共封装光学(CPO)路线。 $AAOI在增长方面超越了$CRDO、$ALAB、$LITE等，并受益于光子学主题相对于铜缆（前两者）的优势。 只要管理层兑现承诺，$AAOI仍是一个非对称的1年高确信度标的。
英文原文
High conviction long: $AAOI. I genuinely think this could easily be a 3x by next year. Nvidia funded $COHR, who does Malaysia manufacturing for 800G/1.6T. $LITE uses FN in Thailand for volume production, and has it's own manufacturing in Thailand. I will keep hammering this home but Applied Optoelectronics is only pure Made in America, optical transceiver play. Again, the two "American" optical companies outsourced it to Asia, while $AAOI spent the years building up capacity and fabs in Texas. Nvidia funded both $COHR and $LITE just now to build out a US-version to insulate its most critical supply chain from geopolitical risks. But guess who already has the supply chain setup and is years ahead in that regard? $AAOI. $LITE ($55B) FY 2026 est. ~$2.91B $AAOI ($7.1B MC) H2 2027: $4.35B ARR. $AAOI will actually leapfrong Lite FY 2026 projections if management executes (and with ~40% gross margins). Once again. $AAOI ($7B) will leapfrog $LITE ($55B MC) entire 2026 revenue projections if they deliver their projections. $FN over in Asia, 2026 projections are actually around the exact same as AAOI. ~4.39B revenue off 12.4% gross margins. And it's a $20B MC (with much lower margins) Even if $AAOI hits 70% of their target, it's likely to be heavily re-rated way past it's current marketcap. TLDR: Hard to see downside with $AAOI at these levels, especially with 3-4 hyperscalers (likely $GOOGL, $MSFT, $AMZN) wanting to buy up any capacity it can make for years out. And with $GOOGL not going the CPO route. $AAOI leapfrogs $CRDO, $ALAB, $LITE, and others in growth + benefits from photonics theme vs. copper (from the first two). $AAOI remains an asymmetrical 1Y high conviction as long as management delivers.
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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
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, $WULF
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分享$AAOI买入逻辑，看好执行落地后的巨大回报及有限下行风险。
我的首次买入价在20多美元高位到30多美元低位，所以差不多！我只记得超大规模云服务商的认证过程，并预期他们会像$ALAB那样发力。 对于$AAOI来说，关键在于执行落地，但如果他们成功了，投资回报率(ROI)将是巨大的。 即使他们错过预期40%，我认为从50亿美元市值这里下行空间也不大，所以我准备参与接下来一年的行情。
英文原文
My first buy was in the high 20s, low 30's so around the same! I just remember hyperscaler qualifcation and expected them to pull an $ALAB. Yeah name of the game is execution with $AAOI, but if they hit, the ROI is just enormous. I don't really see too much downside from $5B here even if they miss projections by 40%, so I'm in for the ride for the next year.
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看好$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。
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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CRDO等股转为CPO标的，虽仍看好但失去龙头溢价。
我去年持有的许多铜多头头寸，如 $CRDO 和 $ALAB，今年最终都变成了纯粹的光子学/共封装光学(CPO)头寸。我对它们进行波段交易，并认为它们仍然是很好的多头标的，但像 $CRDO 这样的股票会失去那种赋予其溢价的默认领导地位，正如你现在在 $LITE 上看到的那样。
英文原文
Lot of my copper longs last year like $CRDO and $ALAB ended up becoming pure play photonics/cpo positions this year. I swing trade them and think they’re still great longs but stocks like $CRDO lose that de-facto leadership status that gives them premiums as you see with $LITE now.
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ALAB因CFO传闻及毛利率压缩被错杀，属算法抛售，建议买入做多。
$ALAB 的抛售是一个良好的买入机会。我对财报做了一些更深入的研究： - CFO 离职影响不大（而且他其实还在职） - 毛利率压缩只是表面现象，亚马逊的交易人为地将其压缩了约 2%。 可能是被算法抛售，市场忽略了这些细微差别。这里是很好的做多标的。
英文原文
$ALAB selloff is a good buying opportunity. Did a little more research into earnings - CFO leaving is immaterial (he's still there though) - gross margin compression is just optics, the Amazon deal artificially compressed it by 2% or so. prob sold off algorithmically, missed the nuance. good long here
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DeepSeek架构成LLM范式存疑，若性能获证将利好美股AI企业。
@beauty_oe DeepSeek 的架构是否会成为大语言模型(LLM)的下一代范式，仍然是一个巨大的不确定因素。近期，市场对中国 AI 模型的期待高涨，如果其在现实社会中的性能得到验证，可能对包括 $ALAB 在内的美国企业产生积极影响。
英文原文
@beauty_oe DeepSeekのアーキテクチャがLLMの次世代パラダイムとなるかは、依然として大きな不確定要素です。 昨今、中国のAIモデルへの期待が高まっており、実社会での性能が証明されれば、$ALABをはじめとする米国企業にとってもプラスに働く可能性があります。
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看好DeepSeek带动CXL需求，推荐关注ALAB、AVGO和MRVL。
如果你看好带有 Engram (v4) 的 DeepSeek 大语言模型，做多 CXL (Compute Express Link) 似乎是个不错的想法。 - $ALAB (Leo) - $AVGO - $MRVL 是美国市场的三大巨头。 尤其是 Astera。 如果它成为一种新的架构范式，像 Astera 这样的公司可能会销售数百万个全新的 CXL 控制器来管理外部内存池。 话虽如此，许多关于 DeepSeek 的报道通常夸大其词（内部基准测试与实际表现不同），它可能仅被用于离线批处理。 近期的全面下跌为这三家公司提供了良好的机会。
英文原文
If you're bullish on DeepSeek LLMs with Engram (v4), going long on CXL seems like a idea. - $ALAB (Leo) - $AVGO - $MRVL are your big three in the US. Especially Astera. If it becomes a new architectural paradigm, companies like Astera maybe would sell millions of net-new CXL controllers to manage the external memory pools. That being said, lot of reports are usually sensational around DeepSeek (internal benchmarks perform different than IRL), and might just be relegated to offline batch processing Recent drop across the board presents a good opportunity for these three.
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2026年1月1日美股评级：推荐SMCI、INTC等复苏及AI基建标的，回避高估量子及零售股。
欢迎来到2026年。1月1日评级： 强烈买入： $TTD $SMCI $AIRO $INTC $HIMS $AXTI $TSM $NBIS $CIFR 三星电子 (KRX: 005930) $HUT $IREN $WULF $GLXY $TSSI $META $ETOR $CRCL 买入： $KRKNF $ONDS $GEMI $NVDA $MU $AMKR SK海力士 $SNAP $RDDT $AAOI $COHR $FISV $FLY $DJT $LITE $AMZN $MRVL $AVGO $OSS $BULL $ORCL $CRDO $ALAB 回避： $RGTI $QBTS $RGTI $BMNR $ETH $PLTR $WMT _ 简而言之的想法： TTD - 估值完全重置，年初至今下跌67%，叠加年底税务抛售。进入2026年是极佳的复苏标的。 SMCI - 仅因推迟一个季度以符合新Blackwell规格而交易得像一家困境公司。前瞻收入同比增长50%，市销率(P/S)接近0.5。税务收割后的极佳复苏标的。 AIRO - 资产负债表约1/6为现金。随着政府加速投资，无人机领域备受追捧。另一只被抛售的IPO新股。进入2026年，尤其在热门细分领域，是极佳的复苏标的。市销率约3.8倍，相比ONDS的25-30倍市销率，当然其教育等业务对利润率计算有很大干扰。 INTC - 它实际上已成为美国政府的半导体臂膀。超大规模云厂商很可能被激励（强烈施压）在有机会时优先使用Intel而非TSM、三星等。我不会赌美国政府会输。 HIMS - 进入2026年前大幅抛售。从70多美元下跌。销售/流量下降，但Zava收购/增长应在2026年带来巨大顺风。尤其是有数亿美元回购，前两个月是强劲的复苏标的。 AXTI - 之前发过相关论点。CEO称“40%的磷化铟(InP)供应链”，InP将是2026-2027年超大规模AI建设中的巨大瓶颈，直到2028年有足够时间通过工程手段绕过它。 TSM - 我引用过很多次。利润率提升。需求最大化。未来几年极好的复利增长者。 三星电子 - 受益于代工/存储。在所有顺风助力业务方面简直是金蛋。 NBIS - 极强买入，$7-90亿年度经常性收入(ARR)，它实际上是5家不同公司，每年三位数增长。管理层引用20-30%息税前利润(EBIT)率，这只是等待游戏。 CIFR, HUT, IREN, WULF, GLXY - 整个数据中心板块在Oracle/OpenAI担忧后极度超卖。OpenAI最近融资$400亿，$AMZN再投$100亿等。因此关于资本支出(Capex)的担忧已大幅降低风险。这也是多方面的，例如比特币下跌影响$CIFR资产负债表，$GLXY在加密领域。但总体而言，新云(neoclouds)板块有巨大的复苏/扩张潜力。 TSSI - 类似SMCI。递延收入=核弹级利空。税务收割后应恢复，且大量收入将被确认。 META - 财报后因一次性税务问题遭遇巨大算法抛售。他们还削减了现实实验室等部门的资本支出/运营支出，这应为2026年的每股收益(EPS)带来巨大顺风。 ETOR - 市值$28亿，坐拥$12亿现金，仍保持双位数同比增长。$1.5亿回购应是不错的顺风，且年初至今表现带来的税务收割效应应会消退。 CRCL - 稳定币论点在2026年应非常稳固。 买入 KRKNF - Anduril合作伙伴+规模。2026年可能转板，国防支出带来大量顺风。 ONDS - 收入增长极具爆炸性，到处都有新的$1000万合同。大量现金余额资助研发。市销率很高，但该领域的投机性领导者如RKLB有估值溢价。 GEMI - 通常我不喜欢交易所，但Gemini从$30+ IPO跌至$10以下。极佳的复苏标的。 NVDA - 巨大的积压订单。大家都知道Nvidia的牛市逻辑。 MU - 存储火热。 SK海力士 - 存储火热。 AMKR - 受益于“美国制造”芯片生产扩张。 SNAP - 存储运营支出削减，存储货币化增加收入，Perplexity贡献$4亿。季度收入$15亿。如果他们将所有这些转化为$10亿+自由现金流(FCF)/年，即使收入完全停止增长，也会完全重估Snap。 RDDT - 说实话，未来10+年不会消失。它是社交媒体界的Robinhood，通过新的收入货币化方式极速增长，且极其盈利。 AAOI - Amazon, MSFT ASIC规模化的互连标的。 COHR - 受益于下一代ASIC的光子学部署。 FISV - 财报后抛售过多，税务收割后是强劲的复苏标的。 FLY - SpaceX IPO带动太空领域火热。税务收割结束后应表现良好，且即将有Northrop的中期催化剂。 DJT - 我从没想过会把它放在这里，但这只是因为他们的TAE合并。 LITE - Google TPU部署带来巨大的物料清单(BOM)，估值有吸引力。Google TPU修正预估后轻微抛售，但它基本存在于每个超大规模ASIC部署中。 AMZN - 七大科技巨头中估值不过高的一个。 MRVL - 分析师误导导致抛售，进入2026年强烈买入。尤其是MSFT Maia收入翻倍时，Marvell当前收入也将随之增长。 AVGO - 像NVDA一样，随着AI基础设施部署加速，强劲的长期持有标的。 OSS - 我曾发帖推测他们是Anduril的供应商之一。但无论如何，边缘计算在2026年将很火热，其1.8亿市值呈现有吸引力的上行空间。 BULL - 类似Robinhood，拥有巨大用户群，但他们只需找出货币化方法。 Oracle - 我认为抛售过多。几个月前我将其列入回避，但从$330跌至$190后，尤其在OpenAI再融资$400亿后，再次具有吸引力。 CRDO - 极高利润率，数据中心部署所需的必要连接。 ALAB - 极高利润率，数据中心部署所需的必要连接。 回避： 有很多在“高估名单”上的东西，比如$RKLB，我喜欢但除了这些之外我不会说回避它们。 RGTI, QBTS, RGTI - 量子名称仍然高估，且可能在未来几年无法交付自由现金流。 BMNR, ETH - 如果你看过我的ETH帖子，我不太看多，因为每天ETH燃烧量只是个位数到低双位数，这简直是笑话。 PLTR - 最被高估的AI名称之一。 WMT - 这怎么是40倍市盈率？这是沃尔玛？ __ （这些基于今日价格） 简而言之： Circle, Etoro, AIRO, Klarna, Figma等IPO名称在下跌+税务收割后进入2026年呈现有吸引力的上行空间。 大量如SMCI, HIMS等过去3个月下跌约40%的名称，在税务收割+一月效应后是极好的波段/复苏交易标的。 许多如FiserV或The Trade Desk等暴跌的名称在税务收割后也是良好的复苏交易标的。 许多数据中心股票如nebius, iren, cifr, wulf, galaxy也是极好的复苏交易标的。 许多其他领域如存储、瓶颈、光子学等在2026年只是极好的长期持有标的，尽管各自都触及历史新高。 仍有相当多高估的名称，从量子到某些太空股票（如planet或rocketlab），特定AI名称如Palantir到零售股票如沃尔玛，我可能会暂时回避，直到有轻微回调。 这只是一个简而言之，如果我仅做短期交易（非长期），但欢迎提问。
英文原文
Welcome to 2026. Jan 1st ratings: Strong Buy: $TTD $SMCI $AIRO $INTC $HIMS $AXTI $TSM $NBIS $CIFR Samsung Electronics (KRX: 005930) $HUT $IREN $WULF $GLXY $TSSI $META $ETOR $CRCL Buy: $KRKNF $ONDS $GEMI $NVDA $MU $AMKR SK Hynix $SNAP $RDDT $AAOI $COHR $FISV $FLY $DJT $LITE $AMZN $MRVL $AVGO $OSS $BULL $ORCL $CRDO $ALAB Avoid: $RGTI $QBTS $RGTI $BMNR $ETH $PLTR $WMT _ TLDR thoughts: TTD - Complete valuation reset dropping 67% YTD, compounded by EOY tax sell-off. Great recovery play going into 2026. SMCI - Trades like distressed company just because they delayed revenue by 1 quarter for new blackwell specs. Forward revenue is increasing 50% Y/Y, P/S close to .5 now. Great recovery play from tax harvesting. AIRO - Roughly ~1/6th balance sheet was cash. Everyone seems to be into drones, especially with accelerated gov inevstments. Another IPO name that got sold off. Great recovery play going into 2026 with esp. hot segment. Roughly ~3.8x P/S compared to ONDS trading at 25-30 P/S, but obviously there's quite a lot of other businesses like their education sector which messed up margin calculations quite a bit. INTC - It's literally become the semi arm of the US government. Hyperscalers will likely be incentived (strongly pressured) to use Intel whatever chance it gets over TSM, Samsung, etc. I would not bet against the US government. HIMS - Huge selloff going into 2026. Down from $70's. Sales/Traffic is down, but Zava acquisition/growth should add a huge tailwind going into 2026. Esp. with few hundred mill buybacks, strong recovery play first two monts in. AXTI - Posted thesis on this earlier. CEO - "40% of Inp supply chain", InP will be a huge, huge bottleneck for hyperscaler AI buildout 2026-2027 until there's enough time to engineer around it in 2028. TSM - I've covered this quote a lot. Increasing margins. Maxed out demand. Just extremely good compounder next few years. Samsung Electronics - benefits from foundry/memory. just golden egg regarding all the tailwinds helping the buisness. NBIS - Extremely strong buy, $7-9B ARR, it's literally 5 different companies growing triple digits Y/Y. management quoted 20-30% EBIT margins, it's just a waiting agme. CIFR, HUT, IREN, WULF, GLXY - Whole datacenter space is extremely sold off after Oracle/OpenAI fears. OpenAI recently raised $40B, another $10B from $AMZN, and more. So a lot of fears regarding capex spend has been de-risked. It's multifaceted too, eg. Bitcoin drop, affects $CIFR balance sheet, $GLXY in crypto space. But generally huge recovery play/ramp for neoclouds sector. TSSI - Similar to SMCI. deferred revenue = nuke. Should recover after tax harvesting + lot of revenue gets recognized META - Huge algorithmic selloff post earnings due to one-time tax. They also cut capex/opex spend of their reality labs and other departments and this should be a huge tailwind for EPS going into 2026. ETOR - Literally sitting on $1.2B with a $2.8B marketcap and growing double digits Y/Y still. $150M buyback should be a nice tailwind, and tax harvesting from YTD performance should subside. CRCL - Same as stablecoin thesis should be really solid going into 2026 Buy KRKNF - Anduril partner+ scale. Probable uplisting in 2026, lot of tailwinds from defense spending. ONDS -pretty explosive revenue growth, new $10m contracts left and right. large cash balance to fund r&d. Pretty high p/s but there's valuation premiums for speculative leaders in the space like rklb. GEMI - So i typically dont like exchanges, but gemini got nuked from $30+ IPO sub $10. pretty solid recovery play. NVDA - Huge backlog lol. Everyone knows bull case for nvidia MU - Memory is hot SK Hynix - Memory is hot AMKR - benefits from "made in america" chip expansion in prod. SNAP - Opex Cut from memory, increase revenue from memory monetization, $400m from perplixity. $1.5B revenue/quarter. They could literally stop growing revenue complelty if they convert all of that to $1B+ FCF/year, it would re-rate snap completly. RDDT - This is not going anywhere for the next 10+ years tbh, it's like robinhood of social media, growing extremely fast from new ways to monetize revenue, and just extrmeely profitable. AAOI - interconnect play for amzn, msft asic scale up. COHR - benefits from photonics rollout for next gen asics. FISV - Nuked a bit too much post ER, strong recovery play esp. post tax-harves.t FLY - Space is hot from SpaceX IPO. Should do well given tax harvesting is over, and they have medium lift coming up with northrop. DJT - I never thought i'd put this here lol, but this is just because of their TAE merger. LITE - Large BOM from Google TPU rollout, attractive valuation. Slight selloff after Google TPU revised est. but it's basically in every single hyperscaler asic deployment. AMZN - one of the mag7 that's not overvalued MRVL - Selloff from analyst misinformation, strong buy going into 2026. Especially with msft maia revenue doubling Marvell's current revenue when it ramps up AVGO - Like NVDA just strong long, as AI infrastructure deployment ramps up OSS - I made a post speculating that they're one of andruils' suppliers. but regardless, edge computing will be hot 2026 and its 180m mc presents attracctive upside. BULL - similar to robinhood where they have a huge userbase, but they just need to figure out monetization Oracle - Sold off a bit too much imo. I put this on avoid months ago but after the from from $330 to $190, it's more attractive again esp. after openai raised another $40B CRDO -extremely high margin, necessary connectivity for dc rollout ALAB - extremely high margin, necessary connectivity for dc rollout Avoid: There's a lot of stuff on the "overvalued list" like $RKLB that i like but I wouldn't quite say avoid it either aside from these. RGTI , QBTS, RGTI - Quantum names are still overvalued and likely won't deliver fcf in the next few ytears. BMNR, ETH - if you saw my eth post, not exactly bullish since the amount of ETH burn is just single-low double digits every day, which is a joke. PLTR - one of the most overvalued ai names WMT - How is this 40 p/e? This is Walmart? __ (these are based on today's prices) TLDR: IPO names like Circle, Etoro, AIRO, Klarna, Figma, present attractive upsides post drop + tax harvesting going into 2026. Tons of names like SMCI, HIMS that dropped 40% or so past 3 months, are amazing swing/recovery trades post-tax harvest + Jan effect. Lot of the names that doom dropped like FiserV or The Trade Desk present good recovery trades too post-tax harvest. Many datacenter stocks like nebius, iren, cifr, wulf, galaxy, are amazing recovery trades too. Lot of other segments like memory, bottlenecks, photonics, and others are just great longs in 2026, despite each hitting ATHs. There's still quite a lot of overvalued names from Quantum, to certain Space stocks (eg. planet or rocketlab), specific AI names like Palantir to retail stocks like Walmart that I would probably avoid for the time being until there's a slight correction. This was a TLDR just if I'm short term trading-only (not long term) but feel free to ask questions.
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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！
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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Circle作为美元数字化延伸，具国家安全和网络效应，建议极度做多。
1000%+ 的 Circle 论点：USDC 与私营部门美联储的崛起。 Circle $CRCL，连同 $NBIS 等标的，是我进入 2026 年高确信度的多头持仓，原因只有一个： Circle 已成为美国财政部的私营部门延伸。 在 180 亿美元市值下。 这是一个 10 倍以上的世代性机会，利用美元变得可编程且纯数字化的货币转变。 Circle 不是一家金融科技(Fintech)公司。它不应像传统公司那样被估值。作为数字印钞机，它是美国政府的国家安全利益。 以下是做多 Circle 的定性理由： 1. Circle 购买美国国债并作为美国财政部的私营部门延伸收取利息。 - 随着 USDC 市值扩张，Circle 购买更多短期美国国债。他们正成为世界上最大的单一美国债务持有者之一。 - 在 BRICS 和其他集团试图去美元化的时代，美国政府需要一种数字美元出口。Circle 将美元霸权瞬间传播给全球任何人，绕过当地银行限制。 - Circle 成为对其他外币（低利率或贬值）的有效“做空” -> 将本地货币转换为 Circle (USD) -> 买入美国债务。 对于 $CRCL：美国政府无法承受 Circle 失败。它拥有传统金融科技所没有的隐性“国家支持”战略护城河。 在 180 亿美元的估值下。 2. 网络效应： Circle + USDC 已经捕获了网络效应。 - 现在有数百种稳定币。Paypal USD, FDUSD, USD1, USDe 以及更多即将推出的。但 Circle + USDC 已经捕获了美国市场的网络效应（USDT 仍在国际上广泛使用）。 现在每个人都用 Circle USDC 结算，无论是 Visa、Stripe、银行还是更多。网络效应是 Meta/Reddit 拥有护城河的原因。也是为什么比特币市值超过 1.5 万亿美元。以及为什么 USDC 不会被新稳定币取代。 USDC 已成为结算、发行和存储的标准，并吞噬了所有以前的结算方法，如 T+2 或更长的 Swift/ACH 轨道。 Circle 在采用和公认的结算基础设施方面确保了终极网络效应。 随着使用量的增长 -> Circle 印更多的钱。 3. 私营到公开的滞后： 很多人不知道，但我私下也帮助硅谷风险投资公司进行尽职调查，针对金融科技种子/A/B 轮投资。 从个人经验来看，我看到创纪录的资金涌入 USDC 相关公司：无论是稳定币新银行（如由 USDC 驱动的 Mecury 银行）还是带有 USDC 的结算基础设施。 当然还有许多关于私营部门收购的公开新闻，例如 Stripe 以 11 亿美元收购 bridge，或银行开始研究 M&A 以创建 USDC 相关产品。 多年前这是 AI，我们看到了从 Anthropic 到 NVDA 在一两年后崛起的成果。 现在是稳定币 + USDC。 公开市场是滞后指标，它们尚未定价 USDC 成为公认结算轨道的必然性（比特币是数字黄金，USDC 是美元/结算）。 我们看到了 Circle 主要因浮动头寸动态而抛售，但我们可能会看到对冲基金试图积累对美元未来印钞机的控制权。 _ $CRCL 不仅仅是一只“加密股票”或“金融科技公司”，也不应像它们那样被估值（尤其是根据降息定价盈利能力）。 它基本上是美国美元的私营部门数字化。 自 GENIUS 法案以来，我们看到像 Circle 这样的公司申请特许状，并将 USDC 有效地连接到联邦储备系统。 现在我们终于看到了新的央行数字货币(CBDC) 的开始，但这次是通过 Circle 发行和私有化。 在 $84（180 亿美元市值）极度做多 Circle，作为地缘政治工具、标准结算货币以及美国财政部的私营部门延伸。
英文原文
The 1000%+ Circle Thesis: USDC and the Rise of a Private-Sector Federal Reserve. Circle $CRCL, alongside names like $NBIS, is now my high-conviction long going into 2026 for one reason: Circle has become the private-sector extension of the US Treasury. At a $18B MC. A 10x+ generational opportunity capitalizing on the monetary shift on the Dollar becoming programmable and purely digital. Circle is not a fintech company. It shouldn't be valued like a traditional one. It's a national security interest of the US Government as the digital money printer. Here's the qualitative reasons to long Circle: 1. Circle Buys US Debt and collects interest as the private-sector extension of the US Treasury. - As USDC market cap expands, Circle buys more short-dated US Treasuries. They are becoming one of the largest single holders of US debt in the world. - In an era where BRICS and other blocs are trying to de-dollarize, the US government needs a digital dollar export. Circle spreads USD hegemony instantly to anyone globally, bypassing local banking restrictions. - Circle becomes an effective "short" against other foreign currencies (with low interest or devaluation) -> convert local currencies to Circle (USD) -> buy into the US debt. For $CRCL: The US government cannot afford to let Circle fail. It has an implicit "state-backed" strategic moat that traditional fintechs do not have. At an $18B valuation. 2. Network effect: Circle + USDC has already captured the network effect. - There's hundreds of stablecoins now. Paypal USD, FDUSD, USD1, USDe, and many more to come. But Circle + USDC has already captured the network effect for the US markets (USDT, is still widely used internationally). Everyone settles with Circle USDC now, whether that's Visa, Stripe, Banks, or more. The network effect is why Meta/Reddit have their moats. Or why Bitcoin has a 1.5T+ market cap. And exactly why USDC won't be displaced by new stablecoins. USDC has already become the standard for settlement, issuance, storage, and cannibalizes all former settlement methods from T+2 or more rails such as Swift/ACH. Circle has secured the ultimate network effect both in adoption + agreed upon settlement infrastructure. With this, as more usage grows -> Circle prints more money. 3. The Private-to-Public Lag: Lot of people don't know but I help SV venture capital firms with DD as well for fintech Seed/Series A/B type investments on the side. From personal experience, I've seen a record breaking amount of funding pour into USDC-related companies: whether that's Stablecoin Neobanks (banks like Mecury, just powered by USDC) or settlement infrastructure with USDC. And of course many public-news about private sector acquisitions such as Stripe acquisition of bridge for $1.1B or Banks starting to look into M&A to create USDC related products. Many years ago this was AI and we've seen it come into fruition from Anthropic to NVDA's rise a year or two later. Now it's stablecoins + USDC. Public markets are lagging indicators and they haven't priced in the inevitability of USDC becoming the agreed upon settlement rail (Bitcoin for digital gold, USDC for USD/settlement). We've seen a selloff of Circle mainly due to float dynamics, but we'll likely see hedge funds try and accumulate control of the future money printer of the USD. _ $CRCL isn't just a "crypto stock" or "fintech company" and shouldn't be valued like one (especially pricing profitability from interest rates cuts). It's basically the private sector digitization of the US dollar. Ever since the GENIUS act, we're seeing companies like Circle file for charters, and effectively connect USDC into the federal reserve system. And now we're finally seeing the start of a new Central Bank Digital Currency, but this time issued and privatized through Circle. Go extraordinarily long on Circle at $84 ($18B MC) as both a geopolitical instrument, standard settlement currency, and as the private sector extension of US Treasury.
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作者认为AAOI和POET虽具十倍潜力但因执行风险未去风险化，不属于高确信度标的。
对我个人而言：当一家公司在根本上已“去风险化(de-risked)”并正从该点迈向规模化时，我才视其为“高确信度(high conviction)”标的。 例如，$NBIS 在与微软达成交易后。在光子学(photonics)领域，我个人更看好 $AAOI 而非 $POET。但它们都尚未“去风险化”。 正如你提到的，Poet 受益于 Celestial（已被 $MRVL 收购）。Marvell 基本上通过 Celestial 向超大规模云厂商(hyperscalers)出售 Poet 的中介层(interposer)，用于连接 TPU/Trainium。 但这中间隔着多层环节。 $AAOI 已经拥有与超大规模云厂商的直接合同，例如与 $AMZN 合作 Trainium，与 $MSFT 合作 Maia。此外还有类似 $ALAB 与亚马逊那样的股权协议。 然而，它们实现了完全垂直整合且工厂建在德克萨斯州。如果能让整个供应链在美国实现规模化并完美执行，它们有巨大的10倍增长潜力。 但由于相比 $COHR 规模较小，$AAOI 存在巨大的执行风险，因此不属于高确信度标的。$POET 同理，目前尚无让我完全确信的去风险化因素。 不过，Poet 和 AAOI 都是具备10倍潜力的光子学标的，这也是我持仓部分 $AAOI 的原因，但它们都不属于高确信度投资。
英文原文
For me personally: A stock is "high conviction" when they are fundamentally de-risked and are going from that point to scale. For example, $NBIS post-MSFT deal. I like $AAOI much better than $POET in the photonics space personally. But neither of them are "de-risked yet". So Poet as you mentioned, benefits from Celestial, which got acquired $MRVL. Marvell basically sells Poet's interposer via Celestial to hyperscalers for connecting tpus/trainium. But this is via multiple hops away. $AAOI already had direct hyperscaler contracts like $AMZN for Trainium + $MSFT for Maia. And equity agreements like what $ALAB has for Amazon. However, they're fully vertically integrated + built in Texas. They have a pretty big potential to 10X if they can get the whole supply chain to scale in America + perfect execution. But because they're at lower scale compared to $COHR, $AAOI has huge execution risk + it's not high-conviction. Same with $POET, there's no de-risking factor yet that would make me fully convinced. However, Poet and AAOI are both photonics plays that can 10x, which is why I have some $AAOI in my portfolio, but neither are high conviction.
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感谢 LITE 提醒，并把它和 CRDO/ALAB 的连接层逻辑并列
感谢提醒 $LITE。 我之前没有意识到它对 $NVDA Blackwell、$GOOGL TPU 和 $AMZN Trainium 芯片有多关键。 离谱的是，它竟然处在每家 hyperscaler 的单 GPU/TPU/ASIC 核心环节里（这也是为什么它是高信念标的）。 至于 $CRDO，它和 $ALAB 类似，都是高 Nvidia 式利润率、三位数同比增长，以及依赖 hyperscaler 连接需求的逻辑。
英文原文
Thanks for the $LITE shoutout. I didn't realize how instrumental it was to $NVDA blackwell, $GOOGL TPUs, and $AMZN Trainium chips. Insane how it's part the core of single GPU/TPU/ASIC from every hyperscaler (hence why it's high-conviction) As for $CRDO, similar ground to $ALAB regarding high-Nvidia like margins, triple digit Y/Y growth, and hyperscaler dependencies for connectivity.
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比较一组高增长标的的高估和低估程度
所以我会说，$RKLB 现在肯定是最被高估的。 $LITE 正接近超买区间，但考虑到它在 TPUv7、Trainium 和 Blackwell 芯片中的关键性，它确实值得重估。 $NBIS 和 $CRCL 是这组里最被低估的，然后是 $ALAB。
英文原文
So I’d say $RKLB is definitely the most overvalued right now. $LITE is edging toward the overbought territory but it definitely warrants a re-rating given how critical it is in TPUv7, Trainium, and Blackwell chips. $NBIS and $CRCL are most undervalued out of the bunch, then goes $ALAB.
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公布 2026 年五只高信念多倍股
我在个人组合的极端增长高信念篮子里新增了 2 只股票。 在更长时间框架上，我对高信念股票从来没错过（比如 $HOOD 从 18 美元到 100+ 美元）。 我 2026 年的 5 只高信念多倍股现在是： $NBIS - AI 算力和 Robotaxi $RKLB - 太空 $ALAB - 连接 新增的两只是： $CRCL - 印钞机 $LITE - hyperscaler ASIC 我后面会写 Circle 和 Lite 的更长 DD thesis。 我有信心，只持有这 5 只，就会大幅跑赢 99.9% 的组合。
英文原文
I’ve added 2 new stocks to my extreme growth high conviction basket in my personal portfolio. I’ve never been wrong before about high conviction stocks on longer timeframes (eg. $HOOD $18 -> $100+) My 5 high conviction multi-bagger stocks for 2026 are now: $NBIS - AI Compute and Robotaxis $RKLB - Space $ALAB - Connectivity And the two new ones are: $CRCL - Money Printer $LITE - Hyperscaler ASICs I’ll do longer DD thesis on Circle and Lite on follow ups. I’m confident having just these 5 will heavily outperform 99.9% of portfolios.
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用 AMD/PLTR/RKLB 历史说明 thesis 未变时应给时间
同意，而且我已经反复见过这种情况。 2016 年的 $AMD，当时人们觉得它能挑战 Intel，后来在 5 美元附近投降。 2023 年的 $PLTR，当时人们相信 AI thesis，后来在做空者活动之后，在十几美元投降。 今年的 $RKLB，当时人们觉得它在 18 美元可能成为下一个 SpaceX，后来在低目标价之后投降。 当你看到很多散户最爱的名字，比如 $BTC、$NBIS、$IREN、$RKLB、$CIFR、$ASTS、$ALAB、$CRCL、$HOOD、$SOFI 等，从历史高位回落时，看看历史案例是有帮助的。 很多时候，当 FinX 因为大家讨论 $NBIS 可能成为下一个 AI 版 AWS，或 $ASTS 可能成为卫星蜂窝领域的下一个 Starlink，而形成所谓“泡沫”时，如果唯一变化的是股价，而不是 thesis，那就给它时间兑现。
英文原文
Agreed and I've seen it time and time again. $AMD in 2016 when people thought it could take on Intel, then capitulation at $5. $PLTR in 2023 when people believed in the AI thesis, then capitulation in the $10's after short seller activity. $RKLB this yeare when people thought it could become the next SpaceX at $18. Then capitulation after low PTs. When you see a lot of retail favorites like $BTC, $NBIS, $IREN, $RKLB, $CIFR, $ASTS, $ALAB, $CRCL, $HOOD, $SOFI, and others dropping from ATHs, it's good to see examples from history. And many of times, when finx forms a "bubble" from discussion that $NBIS is likely to become the next AWS for AI, or $ASTS has the potential to be the next starlink for satellite cellular. If the only thing that's changed is the stock price and not the thesis, give it time to play out.
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周五科技股崩盘但作者认为散户方向长期正确，类似TSM/MU历史将重演
接飞刀还是抄底？ Oracle和Broadcom财报之后，周五股市对投资者来说简直是残酷的一天。 仅一天内大跌的热门FinX股票： $FRMI | -34.1% $SNDK | -15.89% $SEI | -15.3% $OKLO | -15.13% $MOD | -14.67% $ALAB | -14.31% $FLNC | -13.96% $LITE | -12.83% $GLXY | -11.73% $AAOI | -11.73% $AVGO | -11.43% $RMBS | -11.11% $CRWV | -10.06% $GLXY | -10.42% $EOSE | -9.73% $CIFR | -9.69% $APLD | -9.43% $WULF | -9.48% $BMNR | -9.17% $LGN | -8.86% $IREN | -8.79% $TSSI | -8.67% $NBIS | -6.99% 我通常会对每只股票做更多点评，但这次真的是太震撼了。像$FRMI因为租户流失/融资问题下跌还能理解，但其他一些就很难解释了。 $NBIS现在比政府、$MSFT和$META交易后还要低，$AVGO在$GOOGL TPU加速生产后却经历了史上最大跌幅之一。 你们周一在关注或买入什么？ （该推文引用了@aleabitoreddit的推文，引用内容仅供理解语境）： FinX是个泡沫。 r/wallstreetbets上的交易员也一样。 人们持有相同的股票：$NBIS、$TE、$ASTS、$HOOD、$RKLB、$IREN、$KRKNF、$ONDS、$SOFI、$AMD、$TSLA等。 然而：这其实是一件好事。 这些年来我见过这种情况反复上演。 短期来看，当人们买1-3个月到期的期权时，他们会在这些"泡沫化"且拥挤的交易中亏钱。 长期来看，一年后，散户对这些公司的方向判断是对的。 而这才是最重要的部分。 以$TSM（140-150美元）为例，一两年前当$NVDA最初崛起时，它曾是Reddit上最热门的股票代码。 散户的方向判断是对的，因为$TSM是整个人工智能建设浪潮的中心。 短期来看，由于买入2个月后到期的看涨期权，股价停滞甚至跌至127美元，每个人都亏了钱。 一年后股价涨幅超过100%+，所有那些看涨期权本来可以涨10倍。 $MU也是一样。Reddit知道内存是人工智能繁荣的重要组成部分，于是在同一笔交易上扎堆。 然而$MU在100美元停滞了一整年，每个人都亏了钱。 时间快进到现在，从美光到SK海力士，内存是最热门的东西，从65美元飙升至245美元，涨幅超过200%。散户方向判断对了，但最终被迫止损离场。 我坚信像$NBIS这样的股票，我们正处于散户买了太多短期期权、像当初$TSM或$MU那样被迫止损持有股票的那个时期。 然而时间快进一年，这可能就像$TSM、$MU或$HOOD（在18美元时）那样散户方向一直正确、却获得3-4倍回报的情况。 我确信FinX散户股票"泡沫"在短期内可能判断不正确——在那个时间框架内，未平仓合约、宏观波动率和做市商主导着市场——但长期来看方向判断是对的。
英文原文
Falling Knife or Dip Buy? What a brutal Friday for stocks after $ORCL and $AVGO earnings. Popular FinX names that dropped in just 1 day: $FRMI | -34.1% $SNDK | -15.89% $SEI | -15.3% $OKLO | -15.13% $MOD | -14.67% $ALAB | -14.31% $FLNC | -13.96% $LITE | -12.83% $GLXY | -11.73% $AAOI | -11.73% $AVGO | -11.43% $RMBS | -11.11% $CRWV | -10.06% $GLXY | -10.42% $EOSE | -9.73% $CIFR | -9.69% $APLD | -9.43% $WULF | -9.48% $BMNR | -9.17% $LGN | -8.86% $IREN | -8.79% $TSSI | -8.67% $NBIS | -6.99% I usually add more commentary on each stock, but it's been pretty incredible to watch. Things like $FRMI makes sense on losing tenants/funding but as for others. $NBIS is now lower than post Gov, $MSFT, and $META deals & $AVGO just had one of its largest drops in history even after $GOOGL TPU ramp. What are you watching or buying on Monday?
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博通财报后AI板块抛售是误解造成的买入机会，新云板块中OpenAI依赖股除外
博通[$AVGO]业绩及其对AI板块的影响，如$LIITE和$NBIS： 博通的业绩"双重超预期"，营收$180.2亿(+28% Y/Y)，EPS $1.95，超出共识预期。 但AVGO下跌-11.64%，并拖累了整个AI板块。 这是买入机会吗？ 是的。 博通被视为超大规模云厂商ASIC代理增长的代表，因为亚马逊$AMZN Trainium、微软$MSFT Maia、尤其是谷歌$GOOGL TPU V7 Ironwood都通过它进行规模化部署。 而像$ALAB(-13.2%)、$CRDO(-5.11%)、$LITE(-12.23%)、$TSM(-3.71%)、$COHR(-9.25%)等公司都是TPU/ASIC建设以及博通作为公司的直接受益者。 博通下跌有三个原因，市场下跌有一个原因： 就博通而言，有一些小问题，如税率变化影响EPS模型，或因更多定制AI芯片而非更高利润率软件导致的"利润率压缩"，但这只是会计处理框架问题。（类似于$META在一次性税收后最初的下跌） 对博通和整体市场而言，是积压订单预期问题。以上所有引用的内容与ASIC市场预期增长相比都是小问题。 博通披露未来18个月$730亿的AI积压订单。而有关Anthropic和META购买价值数十亿$GOOGL TPU的传言，人们隐含预期是$800亿+。 然而，这次抛售是由算法和短期AI泡沫情绪驱动的价格错位，而非基本面破裂。 这条积压订单引用是确认订单的最低合同底线。谷歌$GOOGL、亚马逊$AMZN等公司可能会继续增加ASIC订单，而市场未能辨别这一细微差别。 分析师预期营收转化会更加前置，Q4之后积压订单应该会减少，这给出了2026年更高的可能范围$550-600亿+，而非$730亿预期中的$500亿。 TLDR：关于超大规模云厂商ASIC加速以与$NVDA依赖竞争这一论点没有改变。$AVGO和其他如$COHR、Sk Hynix、$MU、$VRT和$LITE都将受益。 这不是关于营收积压订单的最佳消息，但由于交付周期/订单周期和最低底线而被误解。 如果非要说什么，较低的超级云厂商ASIC需求对$NVDA及其生态系统是有益的，但我们也看到$CRWV、$SMCI、$NBIS和$NVDA GPU/DC计算生态系统今天都从盲目抛售中下跌超过5%，尽管存在负相关性。 这又是典型的"AI泡沫"周期因误解而再次来袭。AI股票普遍下跌10-12%的恐慌是一个绝佳的买入机会。 （该推文引用了@aleabitoreddit的推文，引用内容仅供理解语境）: 甲骨文[$ORCL]业绩及其对新云板块如$NBIS和$IREN的影响： 甲骨文报告EPS超预期且积压订单创纪录，但盘后下跌12%。 甲骨文较9月11日高点下跌39.8%，并拖累整个板块。 原因如下： 这次抛售不仅仅是对边际营收miss的反应，而是算法做空和投资者对AI资本支出周期可持续性以及该板块主要租户信用资质的不看好： OpenAI。 甲骨文宣布2026年资本支出增加$150亿至近$500亿，这与报道的与OpenAI $3000亿合作伙伴关系密不可分。 最初，OpenAI是前沿LLM，对甲骨文、Coreweave等公司有前景良好的资本支出承诺，促成了该板块的初始重新定价。 然而，随着超过$1万亿的义务以及Anthropic、Gemini、XAI等竞争对手的增加，市场严重质疑甲骨文、Coreweave等公司是否为无法从运营现金流履行其义务的租户在建设。 我们看到市场有效地发出信号：甲骨文正在为OpenAI创造一种不可持续的债务驱动型"供应商融资"，而OpenAI无法履行其承诺。 因此下跌是理性的：这次抛售是由信用风险和资本密集度的理性重新定价所驱动。 OpenAI融资担忧是合理的：OpenAI缺乏资金履行合同的假设得到其营收($130亿)与义务($600亿/年)之间明显不匹配的支撑。 信用担忧是真实的：甲骨文CDS利差扩大显示"信用事件"降级或违约的概率上升。 此外，我们看到这在新云板块引发传染效应，$NBIS从$140跌至$90s，$IREN从$80跌至$40s，$CIFR从$24s跌至$17s。 但这对$WULF、$NBIS、$IREN等新云公司来说是买入机会吗？ 是的。 这对$ORCL来说是好的买入机会吗？ 不是。 前瞻展望： $ORCL（很大一部分）、$CRWV（25%积压订单）是两个主要依赖OpenAI的公司，这一叙事可能因OpenAI的融资活动而瞬间翻转（+30%+变化）。 如果OpenAI在2026年以高估值超额认购IPO，且其新GPT模型击败Gemini/Claude，我们可以看到这种改变。 然而，许多其他公司与OpenAI无关。新云板块的原始论点是Mag7资本支出从其现金牛业务（Azure、AWS、GCP）向下流向：$NBIS、$IREN、$CIFR、$WULF等。 但随着最大玩家($ORCL、$CRWV)下跌，这些公司算法性地拖累了整个板块。 如果你看各家公司，$CIFR和$WULF由$GOOGL兜底，$IREN/$NBIS由$MSFT资助。 这些是与超大规模云厂商/Mag7的锁定合同积压订单，而非OpenAI。 这种因误解风险而导致的不理性抛售为新云板块提供了绝佳的买入机会，但不是与OpenAI相关的公司如$ORCL和$CRWV。
英文原文
Broadcom [ $AVGO ] earnings results and its effect on the AI sector like $LITE and $NBIS: Broadcom's ER was "double beat" with $18.02B revenue (+28% Y/Y) and $1.95 EPS, beating consensus. But AVGO dropped -11.64% and brought down the AI sector. Is this a buying opportunity? Yes. Broadcom is seen as a hyperscaler ASIC proxy growth as companies like $AMZN Trainium, $MSFT Maia, and most importantly $GOOGL TPU V7 Ironwood are scaled through it. And by proxy companies like $ALAB (-13.2%), $CRDO (-5.11%), $LITE (-12.23%), $TSM (-3.71%), $COHR (-9.25%), and are direct beneficiaries of the TPU/Asic buildout and Broadcom as a company. There's three reasons why Broadcom fell and one why the market fell: For Broadcom, there's minor things such as tax rate changing EPS models or "margin compression" from accounting from just more custom AI chips than higher-margin software, but this is just accounting framing. (Similar to how $META dropped initially on one-time tax post-ER) For both Broadcom general market, it was backlog expectations. Everything cited above is all minor compared to expected growth of ASIC markets. Broadcom cited $73B in AI backlog for the next 18 months. And rumors of Antrophic and META buying billions of $GOOGL TPUs, people were implicitly expecting $80B+. However, the selloff represents a dislocation in price driven by algorithms and short-term AI Bubble sentiment rather than a fundamental breakage. This backlog quote was the MINIMUM CONTRACTUAL FLOOR of confirmed orders. Companies like $GOOGL, $AMZN, will likely continue ramping up ASIC orders and the market failed to discern this nuance. Analysts are expecting revenue conversion to be more front loaded, and that there should be less backlog beyond Q4 given the cycles, which gives a higher likely range of $55-60B+ for 2026 rather than $50B expected of the $73B. TLDR: The thesis regarding hyperscaler ASIC ramp to compete vs $NVDA dependency has not changed. $AVGO and other players like $COHR, Sk Hynix, $MU, $VRT, and $LITE all stand to benefit. It's not the best news regarding the revenue backlog, but it's misunderstood due to lead-time/order cycles and minimum floors. If anything, lower hyperscaler ASIC demand is beneficial to $NVDA and their ecosystem, but we've also seen $CRWV, $SMCI, $NBIS and $NVDA GPU/DC compute ecosystem drop over 5%+ today from an indiscriminate sell-off despite inverse correlation. This is just the typical "AI Bubble" cycle hitting again from misunderstanding. The widespread panic of AI stocks dropping 10-12% is a great buying opportunity.
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看好$SNAP因降本增效及AI收入，预计2026-27年有100%+涨幅。
$SNAP 在 7.64 美元时被极度低估。 -> Snapchat 通过转向 GCP 削减运营支出，并将其转化为收入。 -> Perplexity 交易在现有收入基础上增加了 4 亿美元股权/现金。 预计这些变化带来的净自由现金流(Net FCF)在 2026 年底至 2027 年初将达到 +6.3 亿美元（+1.9 亿运营云支出节省，+5.4 亿内存收入，-1 亿存储成本）。 CEO 出售 1000 万美元股票并不重要，尤其是当有 5 亿美元回购时。 $SNAP 不需要成为 $META，它永远不会是。 在 130 亿美元市值下，它只需要削减成本并改善来自其 15-20 亿美元季度收入（~55% 毛利率）的自由现金流。 那么即使用户增长放缓或轻微下降，它也将获得巨大的重估。 目前税务收割(tax harvesting)可能在未来两周结束。但如果你能等待整整一年，我有信心一旦计入 GCP 运营支出削减和 AI 收入流，Snap 将大幅跑赢任何指数。 进入 2026-2027 年，这里有 100%+ 的上行空间。
英文原文
$SNAP is incredibly undervalued at $7.64. -> Snapchat cutting opex costs with GCP and converting that to revenue. -> Perplexity deal adding $400m in equity/cash on top of existing revenue. Net FCF Is estimate from these changes is +$630M (+$190M opex cloud, memory revenue +540M, storage cogs -$100m) late 2026, early 2027. The CEO selling $10M in shares is not material, especially when there's $500M in buybacks. $SNAP doesn't need to be $META, it never will. At a $13B marketcap, it just needs to cut costs and improve FCF from its $1.5B-$2B quarterly revenue (~55% gross profit margins). Then it will be re-rated immensely, even if user counts slows or slightly drops. Right now tax harvesting is likely ending next two weeks. But if you can wait a whole year, I'm confident Snap will strongly outperform any index once we factor in GCP opex cuts and AI revenue streams. 100%%+ upside here going into 2026 - early 2027.
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博主披露核心及轮动持仓，并解释转向方向性评论的原因。
核心持仓是高确信度的多头：$BTC、$RKLB、$HOOD、$NBIS、$ALAB、$TSM。可能将 $LITE 和 $CRCL 移入上述核心多头组合，但它们是我正在建仓的新头寸。然后是短期至中期混合持仓，如 $SNAP、$CIFR、$RDDT、$SMCI、$HIMS、$TE、$LTC、$KRUS、AMKR、$LITE、$FLY、$WLAC、$META、$AMZN、$TTD 以及现在的 $AAOI 等。我在短期至中期持仓之间进行大量轮动。我以前发布更多关于日内交易的内容，但最终在这里获得了太多粉丝，所以想转向方向性评论。发布头寸更新很难，因为我喜欢解释我这样做的原因！我记得在 $IREN 约 50-60 美元时卖出，结果在接下来的三周里收到了一堆恶评 lol
英文原文
Core portfolio is high conviction longs: $BTC, $RKLB, $HOOD, $NBIS, $ALAB, $TSM Probably moving $LITE and $CRCL to the core long port above, but they’re newer positions that I’m building up. Then short-mid term mix like $SNAP, $CIFR, $RDDT, $SMCI, $HIMS, $TE, $LTC, $KRUS, AMKR, $LITE, $FLY, $WLAC, $META, $AMZN, $TTD, and now $AAOI etc. I rotate between short-medium term holds A LOT. I used to post more day trading stuff but I ended up getting too many followers here, so wanted to switch to directional commentary. It’s hard to post position updates because I like to explain why I do things! I remember selling $IREN around $50-$60 or something and just got a bunch of hate comments for the next three weeks lol
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作者认为因拥有直接大客户及更低估值，$AAOI 优于 $POET。
我研究过 $POET，但相比 $AAOI 我更喜欢后者，因为 AAOI 已经拥有 $MSFT 和 $AMZN 等直接超大规模客户(hyperscaler customers)。$POET 旗下的 Celestial 已被 $MRVL 收购，Celestial 使用 Poet 的中介层(interposer)来连接 TPU/Trainium，而 Marvell 将其出售给超大规模客户。但这并不等同于通过直接来自 $AMZN 和 $MSFT 的大批量订单以及类似 Amazon 与 $ALAB 的股权投资协议来实现的“几步之遥”的去风险(de-risking)。Amazon 在 $AAOI 中拥有类似 $ALAB 的财务激励，但 Astera 已经是家市值 300 亿美元的公司，而 AAOI 的市值仅为 25 亿美元。
英文原文
I've looked into $POET but didn't like it as much compared to $AAOI given AAOI already has direct hyperscaler customers with $MSFT and $AMZN. $POET had Celestial that got acquired $MRVL, where Celestial used poet’s interposer to connect tpus/trainium, and Marvell sells that to hyperscalers. But it's not quite the same de-risking few hops away as direct massive volume orders from $AMZN and $MSFT and equity agreements that Amazon has like they did with $ALAB. Amazon has a financial incentive in $AAOI like $ALAB, but Astera is already a $30B company, while AAOI is a $2.5B MC.
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看好$AAOI，因其在AI光互联中的核心地位及美国本土制造优势，认为其被严重低估。
我买入 $ALAB、$NBIS、$TSM 和 $LITE，是因为“七巨头”(Mag7) 的收入正流向这些公司。 $LITE 的独特之处在于其在 GOOGL TPU v7、AMZN Trainium v3/4 和 NVDA Blackwell 中的角色。 但我发现了一个新标的。 一家市值低于 30 亿美元的小盘股，符合我的投资逻辑： 名称 - $AAOI 一家小型光子学玩家，也是我持仓的两家光子学公司之一： 1. Lumentum ($LITE) 在每一款芯片的部署/爬坡中都占据独特地位，因为其光电路交换(Optical Circuit Switching) 技术被用于 Blackwell、Trainium 和 Ironwood，作为一种“横向扩展”(scale-across) 型技术。 无论超大规模云厂商选择 ASIC 还是 GPU，$LITE 都能胜出，因为它处于核心位置。 2. Applied Optoelectronics ($AAOI) 更多涉及“纵向扩展”(scale-out) 连接，针对 Trainium、Maia 等定制 ASIC 集群，通过 400G 和 800G 光缆及光收发器实现。 鉴于 $AAOI 在 AWS（Trainium 的大客户）和 MSFT Maia ASIC 中的角色，它也能无论何种情况都胜出。 行业正经历由向 800G 速度迁移驱动的“超级周期”，而 AAOI 正处于中心位置。 此外，AAOI 具有独特的地缘政治角度： 美国优先。 与许多无晶圆厂(fabless)并将生产外包到台湾的公司不同，Applied Optoelectronics 在德克萨斯州自行制造激光器。 美国超大规模云厂商（特别是 Amazon 和 Microsoft）正在积极减少对关键基础设施中国供应链的依赖，这有助于 AAOI 实现本土激光器制造。 我们还看到一家“主要超大规模云厂商”对其 800G 数据中心光收发器下达了另一笔巨额订单。 但 AAOI 的交易表现像一家困境公司；然而，其亚马逊权证协议隐含的收入为 2025 年 Q4 和 2026 财年的 800G 爬坡创造了非对称的风险/回报特征。鉴于其在 AI 建设中的角色及现有的超大规模云厂商合同，AAOI 似乎结构性被低估。 市场终于开始重估 $LITE，但感觉 $AAOI 才刚刚开始，鉴于其小市值以及作为超大规模云厂商 ASIC 集群关键玩家和“美国制造”的独特角度。 市场目前正在对光子学玩家进行大幅重估并赋予高溢价，但 AAOI 今年仅上涨 2.20%，似乎蓄势待发。
英文原文
I entered $ALAB, $NBIS, $TSM, and $LITE because of Mag7 funneling revenue numbers into them. Lite uniquely because of its role in GOOGL TPU v7, AMZN Trainium v3/4, and NVDA Blackwell. But there's a new one I found out about. A small cap <$3B player that fits the thesis: Name - $AAOI A small cap photonics player, and one of the two photonics players I'm invested in: 1. Lumentum is uniquely positioned in every single supply chip deployment/ramp, as the Optical Circuit Switching technology is used in Blackwell, Trainium, and Ironwood as a "scale-across" type technology. $LITE wins no matter what. Hyperscaler ASIC vs. GPU as it's in the center of it all. 2. Applied Optoelectronics is more of the "scale-out" connectivity, for custom ASIC clusters like Trainium, Maia through 400G and 800G optical cables and transceivers. $AAOI wins no matter what as well given its role with AWS as a whale client for Trainium, and with MSFT Maia ASICs. The industry is going through a "supercycle" driven by the migration to 800G speeds and AAOI is in the center of it. On top of that, AAOI plays unique geopolitical angle, America first. Unlike many other companies that are fabless and export production elsewhere to Taiwan, Applied Optoelectronics makes their own lasers in Texas. US hyperscalers (specifically Amazon and Microsoft) are aggressively reducing reliance on Chinese supply chains for critical infrastructure and that helps AAOI’s ability to manufacture lasers at home. And we've seen another huge volume order from a "major hyperscaler" on its 800G data center transceivers. But AAOI trades like a distressed company; however, the implied revenue of its Amazon warrant agreement creates an asymmetric risk/reward profile on its 800G ramp in Q4 2025 and FY2026. AAOI seems structurally undervalued, given its role in the AI buildout and existing hyperscaler contracts. The markets are finally catching up to LITE, but it feels $AAOI is yet to begin, given its small market cap size but unique angle of a critical player to hyperscaler ASIC clusters and Made in America. The market is currently re-rating heavily with photonics players and assigning a heavy premium, yet AAOI is only up 2.20% this year and seems like it's just about to begin.
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美联储降息后发布12月11日个股评级，重点推荐AI基建、稳定币及超跌成长股。
美联储降息25个基点后。 12月11日评级： 强烈买入： $CRCL $COIN $AMKR $CRDO $IBIT $MSTR $AMZN $SMCI $TSM $TSSI SK海力士 $SNAP 三星电子 $ALAB $META $NBIS $CIFR 买入： $KRUS $AVGO $NFLX $KRKNF $HIMS $FLY $OSS $TE $FLNC $LITE $COHR $RKLB $TTD $NVDA $CLS $GOOGL $RDDT $WULF $CRWV $IREN $GLXY $WLAC $MPWR 回避 $RGTI $PLTR $WMT $ETH $BMNR $TSLA $IONQ $ORCL $SLNH $OKLO 解释： 今天美联储如期降息25个基点。这通常会引导流动性进入成长股，并利好那些债务使用最多（以更低利率再融资）的中小盘股，例如像$NBIS和$CIFR这样的新云(Neoclouds)。 然而，这也恰逢日本加息，可能导致去年重新加载的套息交易(Carry Trade)平仓；但这是短期的，基本面>短期波动。 强烈买入评级： Circle - 大幅下跌主要由于IPO后的股份解禁。然而，降息损害了其商业模式~利息收入减少20%。 话虽如此，我们看到稳定币市场大幅增长，我个人看到大量早期风险投资（a16z, Sequoia等）涌入与稳定币相关的公司，如新银行(Neobanks)。我们应该看到所有这些都流入更多的USDC铸造，铸造量将抵消降息的影响。 Coinbase - 与Circle相同，他们在USDC方面有50%的收入分成。然而，他们还有自己的交易所，而且降息通常有助于风险资产如加密货币（尤其是比特币跌破9万美元后）。 Amkor - 受益于半导体/晶圆厂向美国制造的转移。 Credo - 过去5天下跌-16%，今天下跌8%。很好的恢复性买入，不认为数据中心建设的数据连接需求会下降。 ALAB - 与CRDO相同的论点 IBIT (比特币) - 始终是长线好标的，尤其是在$93K时 Microstrategy (MSTR) - 受益于比特币复苏，并分析了他们是否会爆仓。TLDR：不会，在需要支付利息之前（约2029年），我们还有另一次比特币减半事件。 Amazon - 今年一动不动。基本面改善，年底有助于电商部门。定制芯片、星座、Robotaxi，他们基本上什么都做，而市场尚未真正奖励他们的努力。只是感觉我们可能会在接下来的2个月看到它跑赢大盘。 SMCI - 之前发过关于这个的论点帖，惊人的恢复性买入。它因将收入积压转移到下一季度而在财报后下跌，但市场没有定价他们未来收入同比增长60%但交易在~11倍远期市盈率的事实。 TSM - 整个AI/半导体建设的骨干。我们看到关于TPU与GPU的争论，但TSM不在乎。 TSSI - 与SMCI相同的论点，依附于Dell，作为一个代理，我们看到来自IREN等供应商和其他在2026年建设数据中心的新云的巨大积压，我们应该看到这在明年实现。 SK海力士 - 显然有关于在美国市场上市升级的传闻，这应该提振流动性。此外，内存市场因AI建设而需求极高。 Snapchat - 只是被低估。$13B市值，~1B+季度收入。NA DAU较上季度下降3%，但不要为了成为下一个FB而买入。他们只需要削减GCP成本并货币化记忆功能（他们已经做了），我们应该看到明年重新评级100%+，特别是随着Perplixty交易带来的$400m+额外收入/股权。 三星电子 - 人们认为这也是内存，因为它构成了他们利润的很大一部分，但我将其视为潜在的下一个现金牛晶圆厂玩法，如TSM，作为第二大玩家吸收任何最大产能溢出。 META - 一次性税收抛售，超卖。现在我们终于看到他们创建前沿模型（Avacado，如果我记得没错的话）。所以他们可以货币化他们一直在花钱的llama开源llm努力。他们还削减了元宇宙努力，这应该是对盈利能力的巨大推动。 Nebius - 由于2500万股稀释导致短期拖累。ATM可能正在提供。话虽如此，一旦完成，由于来自其DC业务（7-9B ARR）及其4家市场未定价的子公司（同比增长100%+）的远期收入/增长，极度低估。 CIFR - 由于比特币价格（资产负债表上持有大量）导致短期下跌，但由于他们做托管(Colo)模式，不受GPU贬值争论的太大影响。此外由Google背书，并与Amazon有合同，因此从根本上降低了风险，是新云领域的顶级买入之一。 买入评级： 文字空间不够，所以给出更短的TLDR Kura Sushi - 波段交易，拉出5年图表，你会明白我的意思，每次它触底（大约现在）。这从未失败过！ Broadcom - 超大规模建设，与联发科一起对TPU至关重要 Netflix - 16%的下跌对于收购来说感觉有点不必要 KRKNF - 基本面增长良好，作为Andruil供应商的市场具有防御性。 HIMS - 股票回购计划，通常低于$40是很好的买入/波段交易。Zava收购未被定价，且仍在增长。 FLY - SpaceX $1.5T估值应该提振整个太空板块。这是2026年中型发射的玩法。 OSS - 之前对此进行过DD，潜在的Andruil供应商。否则，在这个市值下无论如何都有些低估。 TE - 少数Murican能源基础设施之一，太阳能。它可能比核能更商业化。 FLNC - 与AI建设+能源相同的论点 LITE - 现在相当过度延伸，不会追高。但长期受益于处于tpu ironwood + blackwell建设的中间。 COHR - 与Lite相同，但似乎是次要玩家。 RKLB - 可能是我最喜欢的长线。现在相当高估，但由于SpaceX的FOMO无法避免。 TTD - 之前的论点帖，仅基于远期收入数字，似乎是一个很好的恢复性玩法。 NVDA - TPU恐惧有点夸大，看看积压订单。 CLS - TPU v7生态系统买入 GOOGL - 他们像NVDA一样销售TPU，像Waymo一样增长Robotaxi市场，Gemini成功。全方位开火。 Reddit - 就像早期的Robinhood一样，只是一台印钞机。对RDDT通过FCF增长收购做了一些论点评论。否则，他们将留下来并受益于所有世代使用它（不像Snap那样早期） WULF - 类似于CIFR。重新评级可能会发生，取决于更多关于Anthropic建设的信息。 CRWV - 糟糕，糟糕的长线。良好的短期恢复性买入。 IREN - 如果他们继续购买GPU来做AI云，我不会把钱投进去，只是因为稀释。但他们可能会做托管，并且拥有大量的GW容量，所以仍然很有希望。 GLXY - 数据中心建设的受益者。 WLAC - 可能他们本月进行SPAC IPO。他们说Q4。 MPWR - TPU v7生态系统买入 回避 RGTI - 量子，没有基本面/收入支持 PLTR - 449.01B市值lol WMT - 他们每年增长4%的收入，但交易在40倍市盈率，这很疯狂。 ETH - 以太坊伟大的网络。然而，没有代币销毁，也没有收入流向代币持有者。糟糕的投资，伟大的开发者工具/生态系统。 BMNR - 以太坊代理。 TSLA - 有点脱离基本面。但这是对elon musk、大规模Robotaxi、机器人的赌注。我个人只是认为这过度承诺，但我们会看到。 IONQ - 量子，没有基本面/收入支持 ORCL - 大部分远期积压依赖于openai，如果openai在市场份额上输给claude/gemini，这使得事情极其不确定/有风险。话虽如此，现在是一个很好的恢复性买入，但长期来看有风险。 SLNH - 如果你想被他们的2.8gw管道稀释到虚无，这是要持有的股票。 OKLO - 没有像量子那样的基本面来支持目前的市值，这可能需要多年才能实现。
英文原文
Post-Fed Interest Rate 25BPS cut. December 11th ratings: Strong Buy: $CRCL $COIN $AMKR $CRDO $IBIT $MSTR $AMZN $SMCI $TSM $TSSI Sk Hynix $SNAP Samsung Electronics $ALAB $META $NBIS $CIFR Buy: $KRUS $AVGO $NFLX $KRKNF $HIMS $FLY $OSS $TE $FLNC $LITE $COHR $RKLB $TTD $NVDA $CLS $GOOGL $RDDT $WULF $CRWV $IREN $GLXY $WLAC $MPWR Avoid $RGTI $PLTR $WMT $ETH $BMNR $TSLA $IONQ $ORCL $SLNH $OKLO Explanations: Today fed cut interest rates 25BPS as expected. This usually funnel liquidity into growth stocks and benefits small-medium caps that use debt the most (refinance with lower interest rates), such as Neoclouds like $NBIS and $CIFR. However, this coincides with Japan hiking, which might lead to carry trade unwind from last year's reload; but this is short term, fundamentals > volatility short term. Strong Buy Ratings: Circle - Massive drop mainly due to share unlock post IPO. However, rate cuts hurt their business model ~20% revenue cut from interest. That being said, we're seeing a massive growth in the stablecoin market, and I'm personally seeing huge early venture capital funding (a16z, sequioa, etc). being poured into stablecoin related companies such as Neobanks. We should see all of this funnel into more USDC printing, and the printer outweigh rate cuts. Coinbase - Same as Circle, they have 50% revenue sharing in terms of USDC. However, they also have their exchange on top, and rate cuts generally help riskier assets such as crypto (especially post drop Bitcoin sub 90k) Amkor - Benefits from Made in America shift to semis/fab. Credo - Dropped -16% last 5 days, and 8% today. Great recovery buy, don't see connectivity demand dropping from DC buildout. ALAB - Same thesis as CRDO IBIT (Bitcoin) - Always a great long, especially so at $93K Microstrategy (MSTR) - Benefits from Bitcoin recovery and did an analysis whether they would get liquidated or not. TLDR: no, we have another bitcoin halving event before they need to pay off interest, which was around 2029. Amazon - Hasn't moved an inch all year. Fundamentals improving, EOY helps E-commerce division. Custom chips, constellations, robotaxis, they're basically doing everything and market hasn't really rewarded their effort yet. Just a feeling we might see this outperform next 2 months. SMCI - Did a thesis post on this earlier, amazing recovery buy. It dropped on earnings due to shifting revenue backlog to next quarter, but markets aren't pricing in the fact they're growing 60% Y/Y forward revenue but trading at ~11 forward p/e or so. TSM - Backbone of the whole AI/semi buildout. We're seeing arguments about TPU vs. GPU, but TSM doesn't care. TSSI - Same thesis with SMCI, piggybacks off of Dell, just as a proxy we're seeing massive backlog from vendors such as IREN, and other neoclouds building out DCs 2026, and we should see this come into fruition next year. Sk Hynix - Apparently there's been rumors about uplisting to US markets, which should be a boost to liquidity. Also memory markets is just incredibly high demand from AI buildout. Snapchat - Just undervalued. $13B marketcap, ~1B+ quarterly revenue. NA DAU dropped 3% from last quarter but don't buy this for being the next FB. All they need to do is cut GCP costs and monetize memories (which they did) and we should see this re-rate 100%+ next year, especially with $400m+ in added revenue/equity from the Perplixty deal Samsung Electronics - People think of this as memory as well because it makes up a large part of their profit, but i see this as a potential next cash cow foundry play like TSM, as the 2nd largest player to soak up any max capacity overflow. META - One time tax selloff, was oversold. Now we finally see them create a frontier model (Avacado) if i remember correctly. So they can monetize the llama open source llm efforts they've been just blowing money on. They also cut their metaverse efforts, which should be a huge boost in proftiability. Nebius - Short term drag due to 25m share dilution. ATM is likely being offered. That being said once this finishes, insanely undervalued due to forward revenue/growth from both its DC business (7-9B ARR), and its 4 subsidaries that the markets dont price in (growing 100%+ Y/Y) CIFR - Short term drop due to Bitcoin prices (holding a lot on balance sheet), but not really affected by GPU depreciation arguments since they do colo models. Also backstopped by google, and they have contracts with Amazon, so fundamentally disrisked and one of the top buys in neocloud secotr. Buy Ratings: Running out of text space so will give a shorter TLDR Kura Sushi - Swing trade zoom out 5 year chart and you'll see what I mean every time it bottoms (around now). This never fails! Broadcom - Hyperscaler buildout, critical to TPU alongside Mediatek Netflix - 16% drop feels a bit unwarranted for the acquisition KRKNF - Great growing fundamentals and defensible market as an andruil supplier. HIMS - Share buyback program, usually sub $40 great buy/swing trade. Zava acqusition not being priced in and it's still growing. FLY - SpaceX $1.5T valuation should boost up the whole space sector. This was a 2026 play for medium lift. OSS - DD on this earlier potential andruil supplier. Otherwise, kind of undervalued at this MC anyway. TE - One of the few Murican energy infra, Solar. It's likely more commercial than Nuclear. FLNC - Same thesis with AI buildout + energy LITE - Pretty overextended right now, wouldn't chase. But long term benefits from being in the middle of both tpu ironwood + blackwell buildout COHR - Same with Lite, but seems like a secondary player. RKLB - Probably my favorite long. Pretty overvalued right now but can't help it due to SpaceX fomo. TTD - Thesis post earlier, just based on forward revenue numbers, it seems like a great recovery play. NVDA - TPU fears are a bit overblown, just look at backlog. CLS - TPU v7 ecosystem buy GOOGL - They sell TPUs like NVDA, growing robotoaxis market like waymo, gemini succesful. Just firing on all fronts. Reddit - Just a money printer like early day Robinhood. Made some thesis comments about RDDT growing in terms of acquisitions from FCF. Otherwise, they're here to stay and benefits from all gens using it (unlike snap which is earlier) WULF - Similar to CIFR. Rerating might happen depending on more info about the Anthropic buildout. CRWV - Terrible, terrible long. Good short term recovery buy. IREN - I would not put money into this if they kept buying GPUs to do AI cloud just due to dilution. but they might do colo and they have an immense amount of GW capacity so it's still promising. GLXY - Beneficary of DC Buildout. WLAC - Possible that they're SPAC ipoing this month. They did say Q4. MPWR - TPU v7 ecosystem buy Avoid RGTI - Quantum, no fundamentals/revenue to back it up PLTR - 449.01B market cap lol WMT - They're growing like 4% revenue a year, but trading at 40 p/e which is insane. ETH - Ethereum great network. However, there's no token burn and none of the revenue goes to token holders. Terrible investment, great developer tooling/ecosystem. BMNR - Ethereum proxy. TSLA - Kind of detached from fundamentals. But it's a bet on elon musk, robotaxis at scale, robotics. I personally just see this as overpromising, but we'll see. IONQ -Quantum, no fundamentals/revenue to back it up ORCL - Most of forward backlog is dependent on openai, which makes things incredibly uncertain/risky if openai falls to claude/gemini in market share. That being said, it's a good recovery buy right now, but long term it's risky. SLNH - This is the stock to be in if you want diluted to oblivion on their 2.8gw pipeline. OKLO - no fundamentals like quantum to back up mc at this moment, this likely years out to come into fruition.