Just as a recap, these were all my core European longs: 1. $SIVE 2. $LPK 3. $SOI 4. $RPI 5. $IQE 6. $ALRIB 7. $XFAB Sivers: As you know by now, core laser chokepoint over next generation photonics, from 1.6T pluggables to CPO. Embedded in many hyperscaler suppliers from Jabil to Ayar. Should go brrr 2027 but markets are forward looking, so ramps + qualifications should get priced in now. LPK Laser - Glass core substrate "monopoly" with LIDE. "More than 80% of major global players have selected our equipment for process validation, learning and scaling to mass production" Soitec - Silicon photonics SoI substrate pure monopoly while coming out of legacy drag segments. Raspberry Pi - Was my fun idea around Raspberry Pis being used for AI hardware deployments. Previously this thing was mainly educational or hobby boards, but now used for edge/local AI. Just thought revenue increase would be extremely material and it played out well. IQE - Critical epiwafer player for your Western photonics like Macom, Tower, Lumentum, and others. Was kinda going under, but thought their latent capacity relative to Landmark was undervalued. Also given how important it was, I thought that your downstream players + Govs wouldn't let it go under, so it was more of a moonshot idea earlier in the year. Lot more derisked now, very important. Riber - Kinda monopoly in the MBE space, exposure to Quantum / quantum dot + silicon photonics. Found out from OSINT help from a friend latentvalue that Microsoft Quantum was buying their machines, so this was direct hyperscaler validation + kinda de-risked at current MCs. XFab - SiC foundry backed by EU/US CHIPS Act with power semi upside. (152% Y/Y growth for their sic vertical). Main growth was their silicon photonics foundry past 2027 that's getting evaled by nvidia. And that they're leading Europe's value chain efforts in photonics, kinda like an early tower semi. We'll see how this plays out, thought power semi exposure + low P/B would derisk the company until they scale their photbunchonics efforts. From my own personal thoughts: Out of the maybe $SOI has already been re-rated the most? But I'm holding anyway. $LPK and $ALRIB I think are still undervalued despite their monopolies. $RPI is just kinda seeing how things go at this point, would be hilarious if they ended up like a mini nvidia for low end edge ai. $IQE probably has a long way to go given new tower long term agreement, alongside macom. And if they convert latent capacity, I still think it has a chance of rerating like landmark. $XFAB idk if im missing something or are markets missing something. you have nvidia as a direct eval of their silicon photonics foundry, and it's trading below replacement P/B. i think im right though. $SIVE I see has the highest upside out of all of them given laser company ability to vertically integrate, acquire companies downstream to make their lasers more valuable, etc. Just like coherent/lumentum. There's like 1-2 more random ones that aren't really material, but just in general. These are the ones I've liked the most.

I think my personal style of investing is a bit different, just some reflection: It's inherently discretionary, based on stuff markets don't know yet. And a culmination of life experiences? If you look at $AXTI, $RPI, $SIVE, $IQE and others. Lot of it is guessing on unstructured relationships then seeing if it's right or not down the line. $RPI is the perfect example: 1. Nobody really thought of Raspberry Pis for AI growth. Mainly people bought one or two just for class + education + hobbyist. 2. After OpenClaw, just noticed all my friends and people just buying Apple Mac Minis / RPIs for AI applications. 3. Found validation of that trend online with lot of people sharing video tutorials on AI orchestration with RPI. 4. AI was their ideal perfect growth vector, did some modeling, and thought it was compelling. Earnings comes out and I was right. Everyone in media was calling it a meme stock because there's nothing online that shows revenue growth from AI (was 14% forecasted revenue growth, turned out to be 58%, my projection was around 55%). So it was a mix of guessing next industry trend (AI using lightweight hardware instead of GPU clusters), real life trends, then revenue forecasting off my guess. For stuff like $AXTI: 1. Everyone called it a joke when I bought at ~$12. LLMs would hallucinate and say "hyperscalers/govs would have known about this by now and fixed this vulnerability with InP substrates" 2. Or would conflate very nuanced parts of InP substrate stack, where there's multiple different chokepoints in upstream processing. 3. So part of this was just discretionary based on what I've seen over InP substrate breakdowns, industry trends, etc. 4. Then also guessing the major supercycle was photonics (this was before everyone caught onto $LITE, and others). Or before you saw the $141B TAM projections from GS. 5. AXT owned 40% of InP supply chain, without them the supply chain just gets cripped). 6. All the "analysts" were forecasting steady InP substrate growth, few hundred million TAM, etc. or export controls. 7. Everyone kept trying to say $AXTI was overvalued based on TAM estimates. But if it's a few hundred million TAM you just think that's a joke and go into game theory over allocations. 8. Then I just had to guess, how much would this be worth if it were a NAND style bottleneck, what MC could it reach based on control, how much would hyperscalers price it as, etc. A lot of the current research outputs from Goldman Sachs, or earnings reports from the Epiwafer companies, were confirmed after I published my piece on AXT. If you did research back then, lot of the same material /framing wouldn't have come up. With stuff like $XFAB as you're seeing now, a lot of it is just pure guessing: 1. Not really any CPO materials, how much their MTP process makes in revenue, etc. Everyone online keeps saying they're not a photonics player. 2. But if you go through ASE docs or Gov websites, they all kinda cite XFAB as a major emerging player here. 3. $NVDA also evaluating them right now (maybe it's successful who knows). 4. No clear revenue around this area because their main silicon photonics process is still precommercial, but if you guess it's trying to create a EU supply chain to compete with $TSEM, once pre-commercial shifts to commercial, maybe similar but less volume contracts? 5. Then just seeing updates over the next few months to see if anything confirms this thesis guess. _ I think a lot of information discovery still can be done with LLMs I'm seeing online. But it's also really hard to make a bunch of unstructured inferences based on unrelated material or even just trends you're seeing in real life. So probably better to just do what's standard, eg. do valuation forecasting based on current numbers Stuff like $AAOI, if they're projecting $471m/M h1 2027 and you see MC at $12B, probably undervalued might be a good idea to go long for next years. Stuff like Samsung Electronics is easier, see what people are modeling for operating profits for 2027, 2028 then just seeing if it's undervalued or not at current levels. Maybe something harder is $JBL. I haven't really seen any great volume numbers around 1.6T LRO, but you can just make a guess on how popular that might be then project how that might impact current MCs. Or picking just good names everyone kinda agrees like $TSM, $INTC, $MRVL is also solid. So a lot of things is just building up your life skills then applying that to markets. I don't think it's that can be taught with courses and stuff. Of course, much of what I'm doing is just high conviction inference based on unconnected parts. Could always be wrong.

$RPI: $283 -> $983, up 247% from my thesis post. Quote: Strong AI-related demand was expected to result in core profit "significantly ahead" of market expectations. Turns out European Media’s favorite “memestock” with “no fundamentals” back in Feb. Was actually was backed by revenue growth from AI?

关于我当初对 $RPI 的投资想法是如何一步步演变的，这篇文章写得太精彩了！ 中文圈的朋友真的很擅长讲故事我非常乐意让更多人看到这类好文 尤其是，通过这些复盘故事大家可以更好地了解我在构思原创做多逻辑时的思考过程。

Serenity @aleabitoreddit 股神树莓派真的是教科书级别的打脸了 今天刚好好好捋了一下树莓派这波行情。不仅是从宏观，而是从Serenity的视角去理解——他到底看到了什么，为什么他能在所有人都不看好的时候精准抓住这个机会。 先说一下当时的处境 2026年2月的树莓派，说实话就是一个被市场遗忘的票。股价趴在发行价下面整整半年，一年跌了56%，市值缩到5.4亿欧元，历史新低。 分析师？没一个看好的。 华尔街给的营收增长预期是14-17%，基本就是“这公司还活着但也就这样了”的态度。 然后2月16号，Serenity 发了条推文。 标题很随意——“Fun Trade Idea: Long $RPI”。 就这么一条推文，两天之内树莓派涨了将近90%。 他的逻辑到底是什么？ 反复看了他从2月到5月所有关于 $RPI 的推文，把他的思路拆开来看，核心其实就一句话：同样的需求冲击，打在不同体量的公司身上，财务影响是天差地别的。 展开说说，当时硅谷圈OpenClaw特别火，大家都在囤硬件来跑它的各种变体——PicoClaw、NanoClaw 什么的。最开始大家囤的是 Apple Mac Mini，这事儿很多人都知道。 但 Serenity 想到了一层别人没想到的：苹果是3.7万亿美元的公司，你囤一万台 Mac Mini 对它的营收来说连个零头都算不上。 树莓派呢？5.4亿市值。 同样是被囤货，同样是需求暴增，放在苹果身上是噪音，放在树莓派身上就是实打实的营收变化。 这个不对称性，是整个观点的灵魂。 他还注意到一个很有意思的现象：以前买树莓派的人，都是学生或者爱好者，一次买一两块玩玩。但 OpenClaw 出来之后，硅谷的创业公司和个人开始一次买几十块甚至上百块，用来跑并发的 AI agent swarms。树莓派的可寻址市场一夜之间扩大了一个量级——从“教育硬件”变成了“AI 编排硬件”。 有人质疑说为什么不直接用 AWS 开虚拟机？ Serenity 的回答也很实在：很多 AI bot 的应用场景涉及平台 TOS 限制，比如在 Reddit 上跑自动化营销这种，你用公有云人家一查 IP 就封你，所以必须本地部署。树莓派便宜、隔离、可以大批量买，完美适配这个需求。 定量预测——这才是真正牛的地方 光说逻辑谁都会，但 Serenity 给了具体数字。他说如果囤货趋势持续，树莓派的营收增长可能从华尔街预期的14%飙到48-55%。 当时看到这个数字我其实觉得挺激进的。华尔街共识14%，你说能到55%？差了快四倍。 结果呢？3月31号财报出来，营收增长58%。 58%。比他自己预测的55%还高。比华尔街预期的14%高了四倍多。 说实话看到这个数字的时候我是有点震撼的，不是说他运气好蒙对了——他的预测框架是有逻辑支撑的：消费者业务占营收三分之一，OpenClaw 带来的新增购买量是可以估算的，树莓派在廉价开发板领域几乎是垄断地位（因为以前没人有动力去竞争教育市场）。这些加在一起，48-55%的预测其实是有根据的。 说回媒体的反应 推文发出后两天，Reuters、Bloomberg、The Guardian 都报道了。但紧接着，Financial Times 和 The Telegraph 的反应是什么？ 给树莓派贴了个“Meme Stock”的标签。 The Telegraph 直接说这是“mass stupidity”。 一个欧洲媒体说 RPI 的股价会“crash back to reality”。 Serenity 当时就很火大。他反复强调的是：这跟 GME 那种轧空完全不是一回事。他的论点从头到尾都是基本面驱动的——营收增长、TAM 扩张、估值便宜。 他原文里甚至列了资产负债表的数字：280-300M 营收，75M+毛利，25%毛利率，净现金28M。 这哪里像 meme stock 了？ 但媒体不管这些。一个小众标的突然暴涨，他们的第一反应就是贴标签。这其实恰恰说明了为什么这个机会存在——因为没人认真研究过这家公司。 树莓派在大众认知里就是个“教育小玩具”，怎么可能是正经投资标的呢？ 到了5月份财报验证之后，那些写过“mass stupidity”的媒体全都装没事发生。Serenity 在5月28号的推文里专门截了当时那些文章的图，问了一句：媒体写了这些诽谤性的东西，结果被打脸了，怎么就能假装什么都没发生？ 讲真，这个问题我也想问题哈哈哈 回过头来看这整件事，我觉得 Serenity 真正厉害的地方不是他发现了 OpenClaw 这个趋势。说实话当时推特上到处都在讨论 OpenClaw，这不是什么秘密信息。 他厉害的地方在于转译能力——把“产品层面的需求变化”翻译成“具体公司的财务影响”，然后精准定位到一个市值足够小、能被这个需求实质性撬动的标的。 这种能力其实很稀缺。大部分人看到 OpenClaw 火了，想到的是“AI 好牛”或者“苹果受益”。 不过能想到“等等，树莓派也是个上市公司，而且市值只有5亿”的人，真的不多。 还有一点我很欣赏的是他的风险认知：他自己说了，主要风险是 OpenClaw 可能只是短期潮流，不是结构性需求。另外上游 LPDDR4内存涨价也会压缩利润。 所以他只是小仓位参与，没有 all-in。 这种态度反而让我更信任他的判断。一个人如果对自己的论点过于自信、重仓押注，我反而会怀疑他是不是在给自己的持仓喊单。但 Serenity 从头到尾都很坦诚：这是个有意思的机会，逻辑说得通，但不确定性也在，所以仓位控制好。 从估值角度算一笔账来看：财报前树莓派大概2x forward sales。一个年增长58%、有实际利润的硬件公司，2倍远期市销率。放在美股，同等增速的公司随便给你10-15倍。 就算打个折考虑到欧洲市场的折价和小盘股流动性问题，2倍也太便宜了。 他在3月31号财报后算的估值更有意思：2026年 forward P/E 大概20倍，2027年13倍，2028年不到10倍。 对于一个还在加速增长的公司来说，这个估值真的不贵。 这个案例让我想到一个更大的问题：市场上有多少这样的机会——一个真实的需求变化已经在发生，但因为标的太小众、太边缘，没有分析师覆盖，没有机构关注，所以定价完全没有反映现实？ Serenity 说了一句话我印象很深：“people just forgot Raspberry Pi was a publicly traded stock” 人们只是忘了树莓派还是个上市公司。 就是这么简单。有时候最大的 alpha 不是来自什么高深的模型或者内幕消息，而是来自一个所有人都看得到、但没人费心去想的连接。 共勉

Few months ago, a European publication called my $RPI idea: - “mass stupidity” And said: - $RPI shares would: “come crashing back to reality” Then called it a: - “Meme stock”. Earnings report came out? Blew away revenue expectations. It’s very interesting that media can just write all this slander… Then pretend it never happened when it ages so badly. Amount of media slander from $SOI to $SIVE has been pretty incredible.

Just in case people are wondering about my track record with European equities: $RPI: $280 -> $800 (agentic AI hardware demand thesis). $LPK: ~$6, thesis at $13 -> $24.2 (glass cores substrates close monopoly) $SOI: $44 -> $181 (silicon photonics, monopoly over substrates) $SIVE: $4 -> $71 (CPO, critical chokepoints over lasers). $IQE: $12 -> $47 (latent epiwafer capacity, information discovery around downstream photonics companies). $ALRIB: $5 -> $15 (duopoly, synthesis around quantum buyers with photonics growth verticals). And now $XFAB at $9. I’m not always right. But every single one of my European longs thesis have been validated so far by either earnings, investments (eg. $MTSI in IQE) or market returns.

Bro media… how is $XFAB a meme stock? Can you not repeat the same mistake with $RPI this time? They’re literally getting CHIPS ACT funding from the EU because of how critical they are. And have $NVDA / $NOK evaluating their SiPH side of things, while they traded at a low ~1.28 P/B. This just reminded me of $SOI low p/b but high growth verticals out of legacy segment drag. $XFAB was literally mentioned for CHIPS ACT 2 next week in the blueprints… Which focuses around photonics. The main revenue ramp was around power semis with $NVDA pushing 800 vdc. So $NVTS, $POWI, $WOLF and everyone have been taking off recently. Markets just missed $XFAB, because they’re a lesser known foundry in power semis…But US Dpt. Of commerce pointed them out as the only high volume SiC foundry in the US 2Y ago. I just happened to point out the connections. Just because you don’t understand something, don’t just go call it a “meme stock” with price detached from fundamentals.

$RPI, close to ~3x returns. Off the media branded "Meme Stock". I think after retail saw institutions bear post my thesis posts. Then ended up paper handing $AXTI, then $RPI, then $IQE, then $EWY, then $SNDK, then $AAOI, then $SOI. And them watch them all go up 3x-15x+ after institutions bought up the float. Retail finally learned not to trust them with anymore with names like $SIVE?

I don't post dollar amounts because they don't matter. What matters is return %. Speaking of that... YTD: 3840.39%. I'm probably the only one in the world. Who called out multiple names that 10x'd in a short timeframe. Do you remember these thesis anon? 1. $AXTI 2. $SIVE 3. $AAOI 4. $LITE 5. $IQE 6. $AEHR 7. $CRCL 8. $EWY 9. Unimicron 10. Nitto Boseki 11. $OSS 12. $GDRZF 13. $RPI 14. $SOI 15. $ALRIB 16. $SNDK 17. $SIMO 18. $VPG 19. $TSEM 20. $ARM 21. $MRVL 22. $INTC 23. $LPK 24. $NBIS 25. $MU They're all up 100-1000%+, because... 1. I post a thesis. 2. People can see how the stock performs months later. 3. They turn out right (thesis validation) because they're up hundreds of percent + hold their returns. I really dislike the traditional X influencer who shows large dollar amounts or fancy watches/cars/private jets. Then use that to get more by selling expensive subscriptions rather than through market returns. So trying to set a new trend off pure information discovery/synthesis from free thesis posts and the results that follow in terms of return percentages. TLDR: Market returns in terms of percentages matter the most to validate a thesis. Not the dollar amount made.

Leopold Aschenbrenner is a legend, but I'm not quite sure he can beat 3152.77% YTD in the Serenity Awareness fund. That being said, I've hit 23 different longs this year with 100-1000%+ YTD. 1. $AXTI 2. $AAOI 3. $SIVE 4. $LITE 5. $IQE 6. $AEHR 7. $CRCL 8. $EWY 9. Unimicron 10. Nitto Boseki 11. $OSS 12. $GDRZF 13. $RPI 14. $SOI 15. $ALRIB 16. $SNDK 17. $SIMO 18. $VPG 19. $TSEM 20. $ARM 21. $MRVL 22. $INTC 23. $LPK Do you remember all of these anon?

Just 3 months ago, European media called my $RPI thesis: "A Meme Stock" where earnings isn't factored into decisions. 2 months ago, $SOI was labeled "overvalued, with nothing new with the thesis". This month it's $SIVE is "nothing special with Sivers or CPO, it's been around for years". Each are still hitting YTD highs with triple digit returns. Especially, Raspberry PI after it shattered projections by 52% to 55% fwd. rev growth from ~15% est. And I expect all 3 ($RPI, $SIVE, and $SOI) to keep delivering record growth as AI, SiPH, and CPO drive structural re-rating. Maybe after each negative hit piece... it's time for European media to look in a mirror? The ones focusing on actual fundamentals are the ones they're mocking.

Fun Trade Idea: Long $RPI (Raspberry Pi) Reason: 🦞 Openclaw / Picoclaw / Nanobot + Hoarding. Everyone has been openly hoarding Apple Mac Minis and were long Apple. But $APPL is already a $3.7T+ company. Product mass-buying won't make a dent. Raspberry Pi, however, is a 542.68M company. The revenue is material. Feels like markets haven't priced this in since I've seen almost 0 mentions about the ticker on X (but many product mentions). And it's only recently that have the hoarding started Raspberry Pis, as they're much cheaper than $500+ Apple products. They also have their mini $NVDA CUDA-light utility ecosystem that people use. So it turns out these extremely cheap $20 or $200 devices are perfect for deploying mass deploying isolated instances. The reason is for OpenClaw orchestration (so they don’t mess up your device) -> interfacing with a central LLM via API. Before people were just buying 1 or 2 for hobby/education purposes, so revenue has slowing. But now Silicon Valley startups and individuals anecdotally appear to be buying tens or hundreds of these things to run concurrent OpenClaw agentic swarms or do stuff like agentic marketing on Reddit and other places. And no, there are many applications that can't be done by spinning up AWS VPS, so people do it locally (there's TOS around automation/AI bots, so companies setup their own servers). That being said main downside risk is that its - partially foundation owned, and they might not hike rates like $SNDK or $MU does, even if there's extreme demand - Subject to memory price hikes like LPDDR4 component so this is not a major position. However, going forward, revenue should increase due to people buying tens or hundreds of these things for running AI agents. Balance sheet also looks clean with low downside risk: - ~$280M - $300M revenue - ~$75M+ Gross Profit - ~25% Gross Margin - Net income: ~$10M - $15M - Net Cash: $28M Analysts currently project revenue growth closer to 14–17%. But if the demand influx continues, we might see revenue numbers might hit increase from 14% growth to a modest 48-55% if hoarding continues. Consumer segments are roughly 1/3rd of revenue but the newfound buying from Openclaw + variants is a new cataylst nevertheless for re-rating. Especially now that Picoclaw and compressed OpenClaw variants are now able to be run on $20 Raspberry Pis instead of just the Raspberry Pi 5’s. But seems like people just forgot Raspberry PI was a publicly stock as well. The stock price is down 56% 1Y to 542.68M euro MC to an all time low. So this might be that tailwind for a reversal. There's also a non-zero chance OpenClaw is a long term catalyst for Raspberry Pi based, agentic deployments. TLDR: People are openly buying Raspberry Pis and Apple Mac Minis for Openclaw/Picoclaw, so revenue should benefit from increased demand.