供应链分析

产业链结构、上下游与瓶颈环节研究 · 共 1315 条 · 滚到底自动加载更多

  1. 分析光通信供应链中不同规模公司的上涨潜力,从大型成熟公司到细分领域纯业务公司

    三件事: 1/ 通常,市值越小,上涨空间越大(但风险也更高) 2/ 寻找那些未被定价进当前可插拔光模块周期的公司(EML光收发器公司如$LITE和$COHR) 3/ 纯业务布局即将到来的CPO/硅光子学范式转换。 说到追求“最高上涨空间”: 如果你看$MRVL的Celestial产品线对比$TSM的COUPE,两者都是大体量公司,而这只是它们营收的一小部分。所以这很可能被排除,除非交易员使用期权。 像$SOI的SOI衬底这类产品会对营收产生更实质性的影响(更高的上涨空间)。 然后还有像上游激光供应商$SIVE -> $POET -> $MRVL Celestial -> 超大规模云厂商供应链这样的环节,我已识别为高潜力受益者。 但像$AAOI这样的公司在800G/1.6T可插拔光模块周期中仍有巨大的上涨空间。 我相信市场上有许多被错误定价或未知的投资机会…… CPO规模化应用的TAM(总可寻址市场)像是垂直上升的,但像$SIVE这样的产品用于规模化应用的光源和激光阵列。

    英文原文

    Three things: 1/ Generally, the lower the marketcap, the higher the upside (but more risk) 2/ Finding companies that weren’t priced into current pluggable cycles (EMl-transceiver companies like $LITE and $COHR) 3/ Pure play to the upcoming cpo/silicon photonics paradigm shift. In terms of chasing “highest upside”: If you look at $MRVL Celestial to $TSM COUPE they’re both already massive companies. And it’s just a fraction of their revenue. So that’s likely excluded unless traders use options. Stuff like SOI substrates for $SOI will make a more material difference toward revenue (higher upside). Then others like upstream laser supplier $SIVE to ->$POET -> $MRVL Celestial -> hyperscaler supply chains, I’ve identified as a high potential beneficiary. But there’s still a massive upside for companies like $AAOI in the 800g/1.6T pluggable cycle. I’m sure there’s a lot of mispriced or unknown opportunites out there… as The TAM for cpo scale up is like a vertical like up, but things like $SIVE are used for light sources in scale up and laser arrays for scale up.

  2. 供应链分析 $THORLABS$LIGHTMATTER

    说行业里一位新朋友很喜欢 Thorlabs,而自己更喜欢 Lightmatter。

    @me_omri 我在光子圈认识的一位新朋友很喜欢 Thorlabs,不过我个人更喜欢 Lightmatter。

    英文原文

    @me_omri A new friend i made in the photonics field really liked thorlabs. But I've personally liked lightmatter

  3. 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。

    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.

  4. 分析光通信从EML到SiPh架构变化中的投资机会与瓶颈环节

    Alpha就是捕捉从当前EML到明年SiPh(硅光子)/CW DFB架构变化带来的机会。 所以像Soitec($SOI)、$TSEM、$SIVE、$POET这类还没被重新定价的新标的。 目前瓶颈环节是像$AAOI这样最近业绩预期爆表、还有很大上涨空间的股票。但我还是认为$COHR和$LITE也有被重新定价的空间。 然后还有用于各种光电器件的InP(磷化铟)衬底/原料,比如$AXTI。

    英文原文

    The alpha is capturing the rotation from the current EML to SiPh / CW DFB architectural change next year. So new stuff like Soitec ( $SOI ), $TSEM, $SIVE, and $POET type names that haven't been re-rated yet. Current bottleneck would be stuff like $AAOI that recently had blowout projections and have a long way to go. But I still think there's room for $COHR and $LITE to be re-rated as well. Then there's InP substrate/feedstock for photonics like $AXTI which is used across everything.

  5. 供应链分析 $AAOI$COHR$INTC$LITE

    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。

    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.

  6. 供应链分析 $LITE$MRVL$NVDA$POET$SIVE

    Sivers作为硅光子激光供应商多方布局,2亿估值极具吸引力。

    我相信是的。 $SIVE看起来就像是早期的$LITE,在CPO/硅光子领域2.12亿美元的估值看起来太荒谬了。 他们现在通过Enablence -> O-Net成为亚洲CPO供应链的激光供应商,供应AI数据中心(有点像Innolight供应可插拔收发器的方式)。 通过$Poet -> $MRVL Celestial成为美国超大规模云厂商供应链的激光供应商。 还是$NVDA支持的Ayar的商用模式激光供应商。 风险回报比对我个人来说看起来非常有前景。

    英文原文

    I believe so. $SIVE looks like the early $LITE for CPO/Silicon photonics at a $212M valuation, which looks absurd. They're now the laser supplier for the Asian CPO supply chain via Enablence -> O-Net for AI DCs (kinda like Innolight for pluggable transcievers) Laser supplier for US hyperscaler supply chains via $Poet -> $MRVL Celestial Laser supplier to $NVDA backed Ayar for merchant models. Risk reward to me personally looks extremely promising.

  7. $SIVE牵手O-Net/Enablence布局CPO,标志硅光子CW DFB激光器供应链成型,替代EML瓶颈的新周期将至。

    刚刚:$SIVE宣布与O-Net和Enablence达成CPO(共封装光学)重大合作。 Sivers将成为CPO的激光阵列供应商。 这实质上是论点验证,因为$SIVE成为InP CW DFB(连续波分布式反馈)激光器供应商,用于硅光子学。 简单来说,这就是当前光学瓶颈的$LITE -> $FN关系。 并且类似于现有的$POET -> $MRVL Celestial CPO供应链,但位于亚洲。 Enablence生产"星形耦合器",类似于$POET的插入器。 O-Net是一家大型组装商,将它们封装成成品模块。 香港的O-Net是华为、中兴通讯、Ciena、Nokia、 Fujitsu等公司的供应商。 (引用内容): $SIVE今天已上涨+73.78%(市值2.31亿美元)。 随着市场对未来潜在$LITE光子学公司的信息进行综合定价。 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$SIVE的激光源则针对即将到来的CPO/硅光子瓶颈。 Lumentum目前主要从$NVDA和超大规模云服务商确保EML(电吸收调制激光器)产能中获益,用于当前可插拔光学收发器周期。 从当前EML瓶颈可以看出,超大规模云服务商正在抢购任何800G/1.6T收发器及上游产能,来自: - $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? 硅光子学和共封装光学。 向CPO的架构转变需要大规模的高功率CW DFB激光器阵列。 这可能会触发需求量的突然全面范式转变。 $SIVE从InP CW DFB激光器中获益,用于SiPh(硅光子学)和CPO: 即将崛起的公司如: $AYAR、$POET采购$SIVE的激光器,但主要做先进封装。 然后它们向上输给更大的公司,如$MRVL Celestial(购买$POET的插入器)。 然而,如果你往上游追溯,光源实际上是$SIVE。 CW DFB激光器是光源引擎($SIVE);硅光子学封装($POET等)是传输方式。 CPO规模尚未到来,但我们知道它即将到来。 正如当前光学收发器周期所示: - $LITE和$COHR的光源公司获得的估值远高于专注于先进封装的$FN等公司。 市场一直在关注$POET,但忽略了它们Starlight项目实际光源(类似$LITE类型)的来源。 风险存在,包括面临$LITE、$COHR、$AVGO等多方竞争。所以再次强调,请务必自己做研究。 但我对此的反论点: Sivers足够早地根据$POET、Ayar和其他公司的规格定制激光器,在它们声名鹊起之前(类似于$POET到$MRVL Celestial的类比)。 也存在产量风险: 但Win Semi(稳懋)认证的潜在赢面可以抵消这一点。 稀释风险以扩大产能,对于每个早期阶段的公司来说始终存在。 去年我做了$LITE的论点研究,并且仍然看好这只股票用于Google TPU增长/OCS(光学电路交换)。 但今年,我的重点是: $SIVE,作为我个人对新一轮光子学架构转变的CW DFB激光器敞口。 我分享自己对把握从当前EML周期轮动到即将到来的CW DFB/硅光子周期的个人观点。

    英文原文

    Just in: $SIVE announces major partnership with O-Net and Enablence for CPO. Sivers will be the laser array supplier for CPO. This is thesis validation in effect as $SIVE becomes InP CW DFB supplier for silicon photonics. In simpler terms, this is the $LITE -> $FN relationship for current optical bottlenecks. And mirrors the existing $POET -> $MRVL Celestial CPO supply chain, but in Asia. Enablence makes the "Star Coupler", similar to $POET interposers. O-Net is a massive assembler, that packages them for the finished module. O-Net in HK is a supplier to companies like Huawei, ZTE, Ciena, Nokia, Fujitsu, and more.

  8. 供应链分析 $2337$8299$AXTI$MU$SNDK

    旺宏(2337)年初涨201%超越$AXTI,因填补三星/Hynix离去的legacy NAND市场获益。

    哇哦,旺宏(2337)就这么轻松超越了 $AXTI? 201.04% 对比 188% 的年初至今收益率,太难受了。 旺宏看起来就像是台湾的小 $SNDK,市值 $78.9 亿... 它们是全球最大的 NOR Flash memory、SLC/MLC NAND 供应商。 所以当三星、SK Hynix 和美光离开传统制程节点后,它们可以自由提价。

    英文原文

    Woah, Macronix (TPE: 2337) is out here casually outperforming $AXTI? 201.04% vs. 188% Year to Date return, feels bad. Macronix does look like the mini $SNDK of Taiwan at a $7.89B MC... They're the world’s largest suppliers of NOR flash memory, SLC/MLC NAND. So they get free price-hike reign now off legacy nodes that Samsung, SK Hynix, and Micron left behind.

  9. 供应链分析 $SNDK

    双寡头把控原料和基材瓶颈,小市值光电子公司具重估潜力。

    这取决于你认为光电子市场规模有多大,以及你认为超大规模运营商会投入多少价值来保障供应链安全。如果看看$SNDK和NAND,我们已经见识过类似的情况。你越往产业链下游走,比如激光器或成品光收发器,通常收入和利润率都更高。但如果你是双寡头,且在原料和基材两方面都占据着一个关键瓶颈,那么我认为一家$2B的公司在AI以光电子技术扩展的未来有很大的重新估值空间。

    英文原文

    Depends how big you think photonics is and how much value you think hyperscalers would place to secure their supply chain. If you look at $SNDK and NAND, we’ve already seen what it’s like. The more downstream you go like lasers or finished transceivers typically have higher revenue/margins. But if you’re a duopoly and hold a major chokepoint around both feedstock and substrates, I think there’s a lot of room for rerating a $2B company when the future of AI is scaled with photonics.

  10. Sivers作为CW DFB激光器上游供应商,受益于向CPO/硅光子学的架构转换,与当前EML周期的Lumentum形成技术路线对比。

    通常我不会回复喷子,但这个平台的虚伪确实令人印象深刻。 随机X平台散户: “为什么$Lite涨了1000%你之前不告诉我?” 我: “我在最早期就发布了这个可能的$Lite的论点,而且没有付费墙。” X平台散户: 😡,“我打算花$400付费墙来做多$ADBE并做空$PLTR”。 尤其是在我的$AXTI论点已经从$12涨到$50三个月后…… 我免费分享我所有的思考过程。 市场可以立即或以任何方式定价任何阿尔法。(我也会出错,尤其是像$ETOR这样从$65跌到$33的股票)。 然而,不是原来的模式——分析师以$2000+的价格向其他对冲基金出售论点,让他们慢慢建仓。 然后散户在$400亿+的估值买入,正如$Lite所呈现的那样。 我的账号之所以增长,是因为我是少数打破这种模式的分析师之一。我向所有人免费分发新颖的信息综合。 股票是正和游戏,如果论点方向正确,每个人都会受益。 (引用推文内容: $SIVE今天上涨+73.78%(市值$2.31亿)。 市场正在定价关于下一个潜在$Lite光子学的信息综合。 如果我必须解释区别: Lumentum的一个激光源主要从当前光学瓶颈中受益。 $SIVE的另一个激光源则是为即将到来的CPO/硅光子学瓶颈准备的。 Lumentum目前主要从$Nvidia和超大规模云服务商确保EML激光器产能中获益,用于当前可插拔光学收发器周期。 从当前EML瓶颈可以看出,超大规模云服务商正在购买任何800G/1.6T收发器及以下上游产能: - $AAOI(内部供应) - $COHR、$LITE(EML激光器+设计)-> $FN(组装) - $COHR、$LITE(EML激光器)-> Innolight / Eoptolink 接下来是什么? 硅光子学和共封装光学。 向CPO的架构转换需要大量高功率CW DFB激光器阵列。 而这可能会引发容量需求的突然范式转变。 $SIVE受益于InP CW DFB激光器用于SiPh和CPO: 即将崛起的公司如: $AYAR、$POET采购$SIVE的激光器,但主要做先进封装。 然后它们向上输给更大的公司如$MRVL Celestial(采购$POET的中介层)。 然而,如果你往上游追溯,光源是$SIVE。 CW DFB激光器是光源引擎($SIVE);硅光子学封装($POET等)是传输方式。 CPO规模尚未到来。但我们知道它正在逼近。 正如当前光学收发器周期所见: - $LITE和$COHR的光源比专注先进封装的$FN等公司获得更高的估值。 市场一直关注$POET,但错过了它们获得类似$SIVE类型光源的地方。 风险是存在的,包括面临$Lite、$COHR、$AVGO等多源竞争。所以,再强调一次,请自己做研究。 但我反对这种观点的理由是: Sivers足够早地为$POET、Ayar和其他公司定制激光器以满足规格要求,在它们成名之前(有点像$POET与$MRVL Celestial的类比)。 也存在容量风险: 但Win Semi认证的潜在优势抵消了这一点。 稀释风险以扩大产能,对于每个早期阶段的公司来说始终存在。 我去年做了$Lite的论点,至今仍喜欢这只股票用于Google TPU增长/OCS。 但今年,我专注于: $SIVE,作为我个人的CW DFB激光器敞口,用于新的光子学架构转换。 我分享自己的想法,捕捉从当前EML周期向即将到来的CW DFB/硅光子学周期的轮动。)

    英文原文

    Normally don’t respond to trolls, but the hypocrisy on this platform is pretty impressive. Random X retail: “Why didn’t you tell me about $LITE before it went up 1000% already?” Me: “Posts my thesis about the next possible $LITE at the very beginning, without paywalls.” X retail: 😡, “I’m going to pay $400 for a paywall to long $ADBE and short $PLTR instead”. Especially after my $AXTI thesis that already went from $12->$50 in 3 months... I distribute all my thought processes for free. And markets can price in any alpha immediately or however they want. (I get things wrong as well, especially with names like $ETOR that crashed from $65 to $33). However, instead of the original model where analysts sell a thesis for $2000+ to other hedge funds to slowly accumulate. Then retail buys at $40 billion+ as seen with $LITE. My account’s been growing because I’m one of the few analysts to break that model. And I distribute novel information synthesis for free to everyone. Stocks are a positive sum game where everyone benefits if a thesis is directionally correct.

  11. 供应链分析

    半开玩笑地说,美国在“脑子”上领先,但机器人身体的规模化仍依赖中国供应链。

    @KawzInvests 我半开玩笑地说,但这里面确实有点真话。 美国在“脑子”方面是领先的,但整个“身体”的规模化计划现在还依赖中国。而且这部分是可以被出口管制切断的。 真的需要去想一想……

    英文原文

    @KawzInvests I’m half joking obviously but there’s some serious truth behind it. America is ahead regarding the “brain”, but the entire scale up program for the body relies on China right now. And that can be shut off with export controls. really need to secure our own supply chain

  12. 供应链分析 $NVDA$QLCM

    对比美国和中国的机器人演示,强调中国在身体制造和供应链实现上更领先。

    美国机器人 vs 中国机器人。 我们是不是已经完了? 今天 Jensen 在 $NVDA GTC 上展示了一个现场演示,基本上像个“雪人 Frosty”一样。 这还是在 $QLCM 的机器人演示摔倒之后。 而在中国那边,随便就能看到各种机器人演示……

    英文原文

    American Robotics vs. Chinese Robotics. Are we cooked chat? Today Jensen Showcased a live demo of basically Frosty the Snowman at $NVDA GTC. This is following $QLCM's robot falling over at a demo. Meanwhile over in China, there's random robots out there sprinting marathons around the city.

  13. 供应链分析 $ACMR$COHR$LITE$POET$SIV$SIVE

    认为SIVE硅光子激光器业务估值偏低,应高于POET等公司

    感觉 $SIVE 应该比 $POET 获得高得多的估值,而后者主要集中在先进封装领域。$LITE 和 $COHR 因供应 EML 激光器而获得高额溢价。然后 $SIV 为硅光子学/共封装光学(CPO)提供激光器……但估值只有 $POET 的 1/6……是 Ayar 的 1/20(当然他们是多源采购)。至于 $ACMR 则不够新,需要跟上。

    英文原文

    Feels like $SIVE should deserve a much higher valuation than $POET, which is mainly on the advanced packaging side. $LITE and $COHR get huge premiums for supplying EML lasers. Then $SIV does the lasers for silicon photonics/cpo… but is 1/6th the valuation of $POET… and 1/20th the valuation of ayar (granted they do multi-source though). As for $ACMR not as up to date, need to catch up

  14. 供应链分析 $LITE$Ayar$POET$SIVE

    指出全球 AI 供应链瓶颈遍布各地,SIVE 这类光源公司只是众多关键断点之一。

    AI 供应链里的瓶颈和公司遍布全球。 正如你从 HBM 和日本的 Toto 马桶上看到的那样,很多都非常随机。 恰好,像 $LITE 这种给 Ayar、$POET 以及硅光 / CPO 公司供货的 cw dfb 激光供应商,也只是瑞典那边的一家公司。

    英文原文

    Bottlenecks and companies in AI supply chains are around the world. As you've seen with HBM with Toto toilets, lot of them are very random. Just so happens the $LITE type cw dfb laser supplier to Ayar, $POET, and silicon photonic/cpo companies is some random company Sweden.

  15. 供应链分析 $SIVE$Ayar$POET

    因为在斯德哥尔摩市场且知名度低,SIVE 可能被很多机构忽视,但自己不建议他人盲买。

    不幸的是,它是在瑞典的斯德哥尔摩市场。 这也是我认为 $SIVE 很可能被很多机构忽视的原因,即使它是给 Ayar、$POET 和其他 CPO / 硅光公司供 cw dfb 激光的供应商。 不过考虑到规模和潜在稀释风险,我不建议别人去买。 我只是觉得这家公司很有意思,因为我认为它看起来像下一个可能的 $LITE。 只是想分享我的 thesis!

    英文原文

    Unfortunately it's on Stockholm in Sweedish markets. Which is why I think $SIVE is probably undiscovered by many institutions, even if they are the cw dfb laser supplier to Ayar, $POET, and other CPO/silicon photonics companies. That being said, because of the size and potential dilution risks, not recommending others to buy. I just found this company compelling, as I thought it looks the next possible $LITE. Wanted to share my thesis!

  16. 供应链分析 $OIL

    把伊朗局势与原油、银市类比,认为若真为夺油而战,对多头会有类似冲击。

    我们真的是为了夺取伊朗的石油而入侵吗……像委内瑞拉那样? 最新报道:特朗普正在考虑夺取伊朗在哈尔克岛的关键石油储备设施。 至少这能让 150-200 美元的原油多头,体会一下白银市场当年发生过什么。 https://t.co/850aazyUMq

    英文原文

    Did we really just invade Iran to seize their oil… like Venezulea? New Reports: “Trump is weighing a seizure of Iran's critical oil depot on Kharg Island” At least this should give the $150-$200 oil longs a taste of what happened with silver markets. https://t.co/850aazyUMq

  17. 供应链分析

    认为如果美国在机器人身体规模化上依赖别国,出口管制就会成为潜在杀开关。

    说得对。如果美国在我们的机器人项目里,还要依赖另一个国家来做“身体”规模化。 那出口管制的 kill-switch 威胁就会一直悬在头上。 所以今天就必须把供应链安全补上,尤其是那些让机器人规模化真正可行所需的稀土材料……

    英文原文

    Spot on. If the United States relies on another country for “body” scale up on our robotics program. There will always be an export control kill-switch threat looming. So it’s vital we secure our supply chains today, especially though the rare earths needed to build parts at a reasonable cost, if America is to be the future leader in humanoids/robotics.

  18. 供应链分析 $CHINA$TESLA

    认为韩国机器人很强,但很多核心零部件仍依赖中国供应链。

    @PhotonCap 对,韩国机器人确实顶尖;但和美国一样,很多零部件供应链仍然来自中国。 美国应该优先推进那些支撑机器人规模化现实可行性的关键材料供应链。

    英文原文

    @PhotonCap Yeah Korean robotics are top-tier but like US, a lot of the component supply still comes from China. The United States should prioritize advancing the critical materials supply chains necessary for making the robotics buildout at scale realistically affordable.

  19. 供应链分析 $MU$SNDK

    内存价格预计涨至2028年,AI结构性需求支撑利润,即使利润率下降行业仍被看好

    内存周期。 大概会像这张图一样吗? 以SK Hynix、$SNDK、三星、$MU等为例: -> 价格持续上涨至2028年 -> 需求增长具有持久性 -> 2028年后价格回落 -> 产能增加 * 需求增加 * 利润率下降 = 利润依然可观。 例如: 2026年Q1:DRAM、NAND价格上涨 - NAND价格环比上涨100%+,DRAM上涨70%+。 2026年Q2:DRAM NAND价格上涨 - 三星Q2 NAND价格再次上涨100%+,DRAM上涨。 Q3至2028年价格持续上涨。 1. 反方观点:「在2027年下半年没有任何情景会让内存价格回调,考虑到超大规模云厂商的采购意愿丝毫未减」 2. 英特尔CEO:「2028年前内存短缺不会缓解」。 然而人们误解了的是: -> 内存需求是结构性的,由AI驱动。 -> 但价格不是(结构性的)。 2026年极端内存短缺情况下,我们很可能持续看到价格上涨。 但价格会在2028年开始下跌。人们混淆的是: -> AI带来的极端需求不会导致价格跌到零。 -> 更多产能不会导致需求突然归零。 供给增加 * 价格 * 需求增加 * 更低运营利润率 = 利润依然可观。 运营利润不会像现在这样环比增长10000%+。 但如果SK Hynix通过产能增加、利润率下降但保持稳定运营利润,年度运营收入约1000亿美元以上,市值4000亿美元: 对比1000亿 -> 2200亿 -> 900亿 -> 1200亿的模式。 那就看起来被低估了。 我不认为会出现末日派所预测的1000亿->1800亿(2027年)->100亿的情况,即因需求下滑(如智能手机)和利润率下滑而亏损运营。 主要需要关注两件事:软件/内存使用效率是否变得极高,或者超大规模云厂商资本支出突然消失(AI不再是回事)。 GPU训练/推理也是同样的逻辑。 但我最主要关注的是超大规模云厂商资本支出预测,作为第一指标。不是断章取义地从三星高管那里摘取几句话来预测两年后的运营收入。 AI从根本上改变了「商品」内存的本质,类似于2023年的GPU。

    英文原文

    The Memory Cycle. Is probably going to look like this chart? With SK Hynix, $SNDK, Samsung, $MU and others: -> Price Hikes until 2028 -> Demand Increase Permanent -> Price Decreases After 2028 -> Increased Capacity * Increased Demand * lower margin = High Profit Anyway. For example: 2026 Q1: DRAM, NAND Price Hikes - NAND prices 100%+ Q/Q, DRAM up 70%+. 2026: Q2: DRAM NAND Price Hikes - Samsung hikes Q2 NAND prices 100%+ Again, DRAM up. Q3 -> 2028 Price Hikes. 1. Counterpoint: "There is no scenario where memory prices correct in the second half [of 2027], given that hyperscaler purchasing intent remains unbroken" 2. Intel CEO: "No Relief on Memory Shortage Until 2028". However what people misunderstand: -> Memory Demand Is Structural with AI. -> Prices are not. We'll likely keep seeing price hikes with the extreme memory shortage in 2026. But prices start to fall in 2028. What people conflate is: -> Extreme demand for AI will not cause prices to go to 0. -> More capacity will not cause demand to suddenly go to 0. More Supply * Price * More Demand * lower operating margin = more profit anyway. Operating income will not be 10000%+ Q/Q like now. But if SK Hynix is producing a more steady ~$100B+ operating income Y/Y at a $400B MC from increased capacity but lower margin: Compared to $100B -> $220B -> $90B -> $120B. Then that itself looks undervalued. I don't see a world where it ends up being $100B-> $180B (2027) -> $10B what doomposters are projecting, where they operate at a loss from both demand downturn (eg. smartphones) and margin downturn. The main two things is to look out for is if software/memory usage gets extremely, extremely efficient or hyperscaler capex suddenly disappears (AI is no longer a thing). Same could be said around GPUs for training/inference. But, I would mainly be looking out for hyperscaler capex projections as the #1 indicator. Not random out of context quotes taken from Samsung executives to signal operating income two years out. AI has fundamentally changed what the "commodity" memory is, similar to GPUs back in 2023.

  20. 供应链分析 $TESLA$SANHUA

    认为特斯拉做设计,但大量实际硬件来自中国公司,而中国握有出口管制开关。

    @ChunkOfTheStars 特斯拉做的是设计。大部分实际硬件来自像 Sanhua 这样的中国公司。 而中国对这些硬件握有出口管制的开关。 https://t.co/zb26qZroKq

    英文原文

    @ChunkOfTheStars Tesla does the design. Majority of the actual hardware comes from Chinese companies like Sanhua China has the export control switch over that hardware. https://t.co/zb26qZroKq

  21. 供应链分析 $TSLA$BOSTON DYNAMICS

    认为即使先进机器人原型能在美国做出来,规模化时还是会因稀土而受中国控制。

    @Adam_a_Dias 你当然可以在 $TSLA 或 Boston Dynamics 做出最先进的机器人原型。 但一旦要规模化,中国就会因为稀土优势而掌控局面。

    英文原文

    @Adam_a_Dias You can manufacture the most advanced robot prototypes at $TSLA or Boston Dynamics. But when you try and scale it up, China has control because of rare earths dominance.

  22. 供应链分析

    中国主导人形机器人零部件供应链,稀土是关键筹码

    是的,中国在制造人形机器人所需零部件方面正在超越美国。 而美国公司正在加倍投入,完全依赖中国来扩大人形机器人的生产规模。 部分原因是因为没有其他选择,因为西方的选择无法将零部件成本降下来。 如果稀土问题得不到解决,中国将永远掌握美国机器人计划的命门。

    英文原文

    Yes, China is dominating US on the component side needed to make humanoids. And US companies are doubling down, by completely relying on China for scaling up humanoid production. Part of which, is because there’s no other choice as Western options cannot get costs down for components. If rare earths doesnt get addressed, China will always a kill switch over America’s robotics program.

  23. 供应链分析

    区分了 AI / 数据中心与人形机器人所需材料,强调美国必须稳住机器人供应链。

    用于扩展 AI 和数据中心的材料,和用于扩展人形机器人的材料,本质上完全不同。 比如钨虽然也受出口管制,但它并不是人形机器人的结构性核心部件。 美国需要做更多事情,来保护自己机器人供应链的安全……

    英文原文

    The materials required to scale AI and DCs are fundamentally different from those required to scale humanoid robots. For example tungsten is export controlled, but it's not a structural part in humanoids. America needs to do more to secure its robotic supply chains in specific.

  24. 供应链分析 $IQE

    说明 IQE 有 100+ 反应器产能,若重构为 InP epiwafer 生产是可行的。

    @Lee_Trades 对,我显然把事情说得比较简化了,但它们确实有 100+ 的反应器产能。Landmark 大概是 28-30 台,但它们更偏纯粹。 把这些产能重构到 InP epiwafer 生产需要时间和钱,但对 $IQE 来说肯定是可行的。

    英文原文

    @Lee_Trades Yes, I’m obviously oversimplifying things but they literally have 100+ reactor capacity. Landmark probably ~28-30 but they’re more pure play. Takes time and money to refactor a lot of these to InP epiwafer production but it’s certainly doable for $IQE

  25. 供应链分析 $NVDA$AMD

    认为到 2028 年热管理会成为巨大瓶颈,尤其当新芯片功耗逼近 2000W。

    @pioter_pan 热管理到 2028 年会成为一个巨大的瓶颈,尤其是当新的 $NVDA 或 $AMD 芯片接近 2000W+ 功耗的时候。

    英文原文

    @pioter_pan Thermal is gonna be a huge bottleneck in 2028 especially as new $NVDA or $AMD chips approach 2000w+

  26. 供应链分析 $AAOI$AMAT$BESI$BESIY$LRCX

    BESI被纳入瓶颈标的,混合键合技术验证供应链重要性,但涨幅预期有限。

    $BESIY / $BESI 在我的非正式瓶颈ETF里!不过我还需要补上 $LRCX、$AMAT 和 BESI 的新闻。这确实验证了混合键合(hybrid bonding)对先进封装的重要性。所以仅基于供应链重要性,就是很好的做多标的。但真不觉得它会像上面的其他股票那样涨300%,比如 $AAOI。

    英文原文

    $BESIY / $BESI was in my informal bottleneck ETF! Still need to catch up to the $LRCX, $AMAT and BESI news though. Does definitely validate how important hybrid bonding is to advanced packaging. So good long just based on supply chain importance. But don't really see it going up 300% like other names above like $AAOI.

  27. 供应链分析 $AIXA$ASML$AAOI$AXTI$SOI

    研究了从 Oxford 到 AIXA 的光子设备公司,但认为多数不会像 AAOI、AXTI、SOI 那样暴涨。

    我确实研究过从 Oxford 到 $AIXA 这些和光子设备相关的卖家。 它们会因为光子需求而明显受益,跟 $ASML 那种资本开支周期很像。 但我不觉得它们里有太多公司会像 $AAOI、$AXTI,甚至 $SOI 那样涨 300%+。 不像那些更大的对冲基金 / 机构,我是在用自己的投资组合去追增长,所以只要机会还在,我对很多高 beta 的名字并不排斥。

    英文原文

    I did look through all the photonics equipment related from sellers from Oxford to $AIXA. They get a material bump from photonics demand, similar to $ASML capex cycles. But I don't think many of them will end up 300%+ like $AAOI, $AXTI, or even $SOI. Unlike larger hedge funds/firms, I'm chasing growth in my personal portfolio, which is why I'm fine with a lot of higher beta names as long as opportunity is there.

  28. 博主分享光子学供应链投资组合,按风险等级分层推荐多只股票。

    我是最早一批覆盖光子学供应链股票的人。 大多数自发布以来涨幅达到100-400%以上。 以下是我的核心论点帖的概要总结: 截至今日“最安全”的多头标的: - $TSEM(高塔半导体) - $SOI(Soitec) - $COHR——随时间推移具有防御性的复利型公司。 Soitec——在硅光子学/共封装光学(CPO)架构攀升中拥有基板垄断地位,估值极低(即使近期上涨40%+,可能仍只有1.4倍市净率)。 高塔半导体——2028年市盈率处于十几倍区间,70%以上的产能已被预订,是$NVDA架构合作伙伴,基本上是光子学领域的纯Play版$TSM。 Coherent——在光子学领域基本上覆盖从材料/基板到激光器再到光收发器的全产业链,同时也是许多其他垂直领域的基础供应商。 最高贝塔/极高增长多头标的: $AXTI——与Sumitomo形成磷化铟(InP)双头垄断(后者正面临出口管制),与Vital在上游原料端形成双头垄断。 基本上,AXT处于整个光子学食物链的顶端。出口管制风险确实存在,但我的论点是:如果AXT倒下,那么AI驱动的光子学建设也会崩塌。所以还不如做多AXT。 $AAOI——到2027年收入增长10倍。激光器->设计->组装,美国制造。主要不确定性在于执行能力、扩大从$COHR收购的激光器产能等。 超大规模数据中心运营商的需求都存在。他们能交付吗?我愿意承担这个风险。 $IQE——基本上完全依赖重组和清理债务(市值约2亿美元)。作为$LITE的外延晶圆(epiwafer)知名供应商,其主要竞争对手Landmark估值超过35亿美元。 其现有产能(反应器)潜力存在,但基本上需要成功转型光子学并切断传统业务的拖累,才能实现10倍的重新定价。 风险最高,但也可能有相应的回报。 做多$GOOGL TPU生态系统相关: $LITE——由于光学电路交换机(OCS)垄断地位,其光学相关的物料清单(BOM)占比非常高。 如果你认为谷歌TPU是一个可能最终像$NVDA那样的万亿美元项目,那就做多$LITE。 谷歌计划2026年资本支出1750-1800亿美元,其AI基础设施CTO表示计划逐年增加,可能在未来8年投入1万亿美元。 如果这个计划成立,$LITE相对于未来潜力来说估值极低。当然,他们也向其他超大规模数据中心运营商供应激光器,但我会说它与谷歌增长的关联度更高。 _ 还有许多其他我覆盖过的标的: $POET——我本人不做多,但其4亿美元资产负债表提供了良好的缓冲。我发现从$MRVL攀升中发现的Celestial项目太遥远——例如2028年预计收入5亿美元、2029年10亿美元——对于2026年来说不具实质意义。 这很大程度上取决于他们的中介器(interposers)是否能获得其他超大规模数据中心运营商的认证,而不是通过Marvell走后门——这是主要的看涨逻辑。 $HIMX——我确实发现这个论点略有说服力,作为可能的$TSM共封装光学(CPO)供应商。 但我个人更偏好$SOI,会将更多集中度投入其中(因为Soitec作为已知供应商已基本覆盖整个硅光子学领域,而且刚从下行周期中走出)。 还有很多其他的如$NOK、$SHMN也很有趣,但我个人已将集中度投入到我认为最有说服力的标的。 像$LITE这样的“拥挤标的”并不意味着没有剩余上涨空间。只是在有新消息之前,估值已经更多地被反映进去了。 存在许多“关键供应商”,但供应链中的重要性...与将其转化为极高营收增长(例如$AAOI -> 45亿美元营收)之间存在差异。 但对于光子学敞口的简要总结,我的投资组合大致如下: 高集中度(更安全): $TSEM晶圆代工、$SOI基板、$COHR全产业链 做多+卖看跌期权组合(高波动性): $AXTI基板/原料、$IQE外延晶圆、$AAOI光收发器供应链 然后做多谷歌相关$LITE

    英文原文

    I've been the first few to cover many supply chain photonic names. Most are up 100-400%+ since I've posted. Here's the TLDR overview of my thesis posts: “Safest” Longs as of Today: - $TSEM (Tower Semi) - $SOI (Soitec) - $COHR - Defensible compounders over time. Soitec - Substrate monopoly over silicon photonics / CPO architectural ramp at dirt cheap valuation (after recent 40%+ rise maybe still 1.4x book) Tower Semi - P/E in the 10's for 2028, 70%+ capacity booked already, $NVDA architectural partner, and basically the pure play $TSM of photonics. Coherent - Basically does everything from materials/substrates to lasers to transceivers in photonics. As well as fundamental supplier to many other verticals. Most High Beta/Extreme Growth Longs: $AXTI - InP duopoly with Sumitomo (that getting export controlled), upstream feedstock duopoly with Vital. Basically at the top of the entire photonics food chain is AXT. There's certainty export control risks, but my thesis is that if AXT goes down, the photonic buildout with AI goes down. So might as well go long on AXT. $AAOI - 10x revenue ramp into 2027. Laser -> Design -> Assembly, Made in America. Main uncertainty is execution, scaling laser capacity that they've bought from $COHR, etc. Demand from hyperscalers are all there. Can they deliver? I'd take the risk. $IQE - Basically completely dependent on restructuring and clearing debt (~$200M MC). Known $LITE supplier for epiwafers, and their main competitor was Landmark with a $3.5B+ valuation. The latent capacity is there with reactors, but they basically need to pull off a successful pivot over to photonics and cut off legacy drag for 10x rerating. Highest risk out there, but maybe worth the reward.s Long $GOOGL TPU Ecosystem: $LITE - Basically very high BOM related to optical due to OCS monopoly for Google. If you think Google TPU is a trillion dollar program that might end up like $NVDA, go long on $LITE. Google has $175-180B capex planned for 2026, and their CTO for AI Infra said they plan to up that Y/Y, probably spending $1 trillion in the next 8 years. If that holds up, $LITE is extremely undervalued relative to forward potential. Of course the supply lasers to other hyperscalers too, but I'd say it's more heavily tethered to Google growth. _ There's a ton of others out there I've covered like: $POET - I'm personally not long, but $400M balance sheet gives it good cushion. Just found Celestial from $MRVL ramp was too far out, eg. $500 million 2028, $1 billion 2029 projections, for revenue to be too material as of 2026. It largely depends if their interposers get other hyperscaler qualifications rather than backdooring through Marvell, which was the main bull case. $HIMX- I did find this thesis to be slightly compelling as a likely $TSM COUPE supplier. But personally, I preferred $SOI, and would just put more concentration into that (since Soitec known supplier already to basically everything silicon photonics, and is just coming out of a downturn). There’s a lot more like $NOK, $SHMN, that are interesting, but I’ve personally out concentration into the ones I find most compelling. As “crowded names” like $LITE, it does not mean there’s no upside left. It just happens to be more priced in until there’s new news. There's a lot of "critical suppliers" but there's a difference between importance in the supply chain... And converting that into extreme revenue growth eg. $AAOI -> $4.5 billion in revenue. But for TLDR photonics exposure, my portfolio looks similar to this: High Concentration (Safer) $TSEM foundry, $SOI substrate, $COHR everything Mix of Long + CSP (High Volaility): $AXTI substrate/feedstock, $IQE epiwafer, $AAOI transceiver supply chain Then Long Google with $LITE

  29. 供应链分析 $OIL

    推测这场油价叙事背后,是美元计价与长期地缘政治主导权。

    @FL_DAYTR8R 我猜这背后是美元计价,以及石油交易和长期地缘政治主导权。 这就是石油美元战争理论。

    英文原文

    @FL_DAYTR8R My guess is for the US dollar denomination with the oil trade and long term geopolitical dominance. It’s the petrodollar war theory.

  30. 供应链分析

    调侃美国政府可能在压低油价

    这段太好笑了: “周一,布伦特原油一度冲到接近每桶 120 美元,随后又急转直下,回落到 100 美元下方。” “客户一直追问我们,到底是谁在大举抛售,”Skirrow 说。“市场猜测可能是美国财政部。” 美国有动机压低油价,所以我不会跟政府去对赌。

    英文原文

    This was hilarious: “On Monday, Brent crude oil leapt to almost $120 a barrel before reversing sharply to fall back below $100. “We were being pushed by clients as to who the big seller was,” Skirrow said. “The speculation was that it could be from the US Treasury” The US has an incentive to keep oil prices down, so would not place my bets against the government.