Got curious and decided to track which thesis of mine were still up 100%+ YTD after the recent drawdown: 1. $AXTI - InP substrates 2. $NBIS - Neoclouds 3. $MU - Memory 4. $INTC - Foundry 5. $LITE - Photonics 6. $IQE - Epiwafers 7. $AAOI - Photonics 8. $GDRZF - Venezuela 9. $AEHR - Machines 10. $EWY (volatility + underlying) 11. $RPI - AI orchestration 12. $SOI - SIlicon Photonics Substrates 13. $SNDK - Memory 14. $SIMO - Memory 15. $MRVL - ASICs 16. Nanya - memory 17. Unimicron - substrates 18. $ARM - CPUs 19. $SIVE - Photonics From H1 2026, around 19 names across several themes up 100%+ still from the selection of winners. Since many like $TSEM / $HPS.A / $LPK / $ALRIB fell out of the range. (obviously not all are green like Shunsin / $XFAB and disappointed by performance). Regardless, glad a lot of my ideas turned out decently, rather than just being known for one like $AXTI. To the point the Chinese community gave my investing style a name "Perilla Leaf Theory". Again not too sure if my new ideas replicate this performance again in H2 2026 or 2027... For H2, my new thesis was on $CCXI for humanoids/downstream physical AI shift and ESMT for DDR2/DDR3/legacy memory. But I'll keep sharing my core ideas and thought process for free so people can poke holes or debate it until things get validated.
$AAPL is now an important AI company apparently? -> "OpenAI Hoarding Tens Of Thousands Of Apple Mac mini and Mac Studio" for reinforcement learning -> Anthropic is renting Apple Mac mini units from $AMZN to complete similar AI tasks I've never seen a company win so hard by doing nothing. But whenever I see Apple + AI, I think of my beloved $RPI. Apparently Anthropic is working with Raspberry Pi now for their new model Hardware Standard, as of the 27th. There's nothing yet about Anthropic/OpenAI buying Raspberry Pi devices for similar tasks, but maybe some OSINT researcher can do some digging.
It’s been a little disappointing to see a pattern with some people I've interacted with on X: - try to engage with the same audience, then quickly move toward aggressively monetizing it - get upset when I choose not to participate in or amplify paid groups - throw out personal or illogical attacks and try to reframe that as simply disagreeing over fundamentals When I first joined X, a lot of finance content revolved around watches/private jets + options, paywalled communities promising the "secrets of Wall Street," and squiggly-line charts. One of the things I've wanted to do differently is publish my research and reasoning openly, for everyone. I think this definitely resonated with folks given my follower growth. But of course, this growth can also create friction with people whose business models rely on using X to funnel audiences into paid services or expensive paywalls. My subscription has been $1 for months and will stay at the minimum, despite claims at the beginning I would raise it to $100. All of my core theses are published on the main timeline for free. I could put substantially more behind a paywall. I just don't want to. I just prefer sharing the ideas openly and letting everyone decide for themselves. Many ideas have worked out well: $AXTI, $NBIS, $AEHR, $MU, $INTC, $EWY, $MRVL, $LITE, $RPI, $IQE, $SOI, $TSEM, $ARM, $COHR, and a lot more. Others ran into unexpected industry delays, like $LPKF with glass substrates and Auros with hybrid bonding. Some are still playing out into 2027/2028, including $SIVE, Foci, Shunsin, $CCXI, $XFAB and the broader CPO/humanoid themes. Some are brand new like Etron/ESMT for DDR2/DDR3. And many like $JBL to Murata to $MXL, I just share for fun to see if the idea is right. Not every idea will be right. That's part of research. But I'd much rather have an X where people openly publish the thesis and reasoning so everyone can learn from it. Than one where information increasingly disappears behind $100 paywalls or becomes diluted with engagement-bait noise. Hopefully I can help create a new culture on X rather than amplify the old one.
I've reached 900k followers, thank you everyone! Just some reflection, it's actually a nightmare at higher counts... Which is new to me, since I started at almost nothing earlier this year. 1. Threats of safety, which I don't enjoy. - Random new accounts sending personal threats - Mysterious foreign accounts, sending coercive messages the moment I mention a foreign ticker If I hold an opinion about a stock, I'd prefer not to have anyone show up on the street with a knife at night since it's safety risk at this point... Never felt like I'd have to take that into consideration for holding an opinion. 2. Egregious media narratives - Lot of outlets try to dismiss my ideas like $RPI or $SIVE as "meme stocks" or me as "meme trader" when I talk about supply chain chokepoints or fundamental catalysts to revenue due to AI. Without ever covering the core ideas or hyperscaler mapping I've done. I let success validate my ideas, but it's annoying when they can just pretend their claims like "___ will imminently crash as a fact" which ends up not happening. Or that "___" is just a retail meme stock without mentioning $JBL, Ayar, $GFS or others for CPO scale up or pluggables. I'm grateful to some outlets, like in Belgium for $XFAB coverage, but many others try and paint their own narrative rather than covering a very nuanced thesis objectively. - When I mention a ticker in a foreign market, some try to frame me as some "adversarial account"! I'm just sharing ideas, and I'll always disclose positions/financial interest if I have them. If I say I have none, they just make up some narrative that I'm some foreign institution or random group inside their country that does. Some have even tried hilariously forging screenshots of me to harm my reputation, which was annoying to deal with. Since it's easier to textedit a photo and spread it around than it is to dispel disinformation. Lot of institutions know me personally by now. I just don't go broadcasting my identity to random people in the media/public, since personal security gets expensive and I just want to live about my day. 3. Endless X bot spam - I have endless hundreds of comments a day trying to link external communities pretending they're me. I manually delete, and block thousands of these accounts, sometimes hit regular people by accident. And it's extremely exhausting to the point my fingers cramp certain days. Even if I give the most blatant warnings in bio, people still get scammed and think it's me. Then I get blamed for it too. I actually had a conversation where someone asked if a scammer was me. I said no verbatim, then they double checked like 2-3 more times because they didn't believe I said no because someone had the same username on another scam platform. In another world, maybe we'll get automod type tools. But until then, it's mentally exhausting dealing with all of this. But I do so anyways since I don't want my followers to get scammed. 4. Endless engagement baiting - I have tons of people making up fake stuff about me, tagging me in posts, randomly bashing my ideas while missing any technical nuance in order to get me to comment or farm views. It's a catch 22 since the moment I reply, they get a lot of views, which was their goal. And if I don't reply it just looks like I'm avoiding something (which is not true). I'm very transparent, I always try and entertain people who disagree first. But when it gets into personal attacks or leading questions/disinformation rather than substance then I don't engage. It's a little sad though when people I've interacted with end up caring more about engagement over relationships down the road. 5. People missing the nuance - I share ideas pretty often and I always maintain I don't want people to copytrade or blindly follow, which is why I haven't set up any copytrading apps. Before it was just posting with a few $RDDT friends on ideas like $AXTI, $NBIS, or $ALAB, and people were more knowledgeable traders. Then seeing if markets validate my guesses like with InP substrate bottlenecks. But because many turned out directionally right, to the point it became a central talking point between China/US trade relations, lot of random folks started to follow my account last few months. But many of them miss nuances with float dilution, or material updates along the way such as rate hikes, and I get blamed if a thesis changes. Now since there's so many random people, even if I share an idea about $CBRS last Friday. At market open I had people panicking over a 2% drop, asking me if I did something to a $44B+ company, even if it went up 20%+ today. Now I have compliance review for posts, which delays things a lot but makes sure people don't get the wrong idea. And I have to be careful about my timing, so I post new ideas when markets close. Before, it was just sharing ideas the moment I had them during lunch or in the shower, so this is becoming a headache. 6. I post my core ideas for free. And I've always said this from the start. I actually made my subscribers chat literally by accident, and set the bare minimum amount on purpose since I didn't want to take people's money. But kept it so I could avoid the bots and not spam the main timeline with random thoughts/scrapped research. I think me becoming the #1 most subscribed to person on X was literally by accident. But lot of weird narratives out there when media or others don't believe that I just genuinely want to share my ideas for free. And that people shouldn't need to pay $300 in a paywalled community to see them. _ Not sure if people want to read it all, but just some things I've gone through. It's not as much fun at higher numbers and it would be nice to go back to when I was smaller. Regardless, I'd rather not turn this into a job, or make it feel like one. Will probably take a break when I hit 1M as a milestone and do something else that will help out the community like sharing my research pipelines and such. Think a lot of my friends at 10-50K follower counts, seem to experience some of these issues too. But problems get magnified a lot at this level. I never needed the X creator fees or anything, just wanted to share ideas for fun if people wanted to listen. And didn't expect any popularity, but it's nice to see that people find my ideas compelling.
I think u must be new here. Many of my ideas get intense backlash at the start, especially the more original they are. $AXTI - endless hate to the point I got banned from the $RDDT WSB forum. They thought it was some scam Chinese company, but Reuters, Epiwafer company earnings, and institutions validated their InP substrate position many months later. $RPI - everyone called it some meme stock. Literally Bloomberg, Financial Times, and others went out and called it a meme stock with no fundamentals. Analysts went and said the idea was stupid and said it was going to crash “as a fact”. Earnings came out? Blew away any projection with 58% fwd revenue growth. But they seem to have forgot all the backlash they threw out at me, while they’re citing it as a high growth ai hardware company no. $SIVE? Everyone called it a “meme stock”. I get bunch of hate from Swedish media all the way up. Bunch of people didn’t understand the technical nuances, and they keep throwing personal attacks for some strange reason. But as you know it’s probably my most successful idea and it’s validated so far by institutional buying from Fidelity Research, JP Morgan as well as formally announced partnerships from $JBL to $GFS. Same hate with: - $AAOI at $30, when everyone called management a “scam” or “shady” - $LITE at $300 when everyone called photonics a “bubble” - $RKLB at $20 when everyone thought it was a low revenue launch company that was a bubble. I actually got temp banned from WSB from posting about Rocketlab since moderators didn’t like the stock. - $HOOD at $20 when everyone recalled them freezing GME buys/sells - $IQE at $12 when people thought it was just some random crap $100m company over in the UK with “no actual photonics partnerships” - $SOI at $44 when European bank analysts thought it was “overvalued”and my thesis wasn’t anything new - $NBIS at $75 when everyone in the $IREN camp said I was spreading Russian propaganda and that they had no moat - $INTC at $115 when everyone thought they couldn’t compete with $TSM - $MRVL at $85 when everyone thought they were losing ASIC share to Broadcom. - $AEHR at $35 when everyone misread their earnings and thought they had no revenue - $EWY at $115 when everyone was crying KOSPI was a bubble and LNG/helium/oil would disrupt the memory trade Can go on and on… I do read a lot of the comments, which is why I remember a lot of the hate (probably either jealously, impression farming, or lacking the technical depth is my guess). But I think at this point, people can just see each thesis validated over and over again. And the success in markets drown out the old noise. Good thing is markets are the final arbiter of what’s right or wrong, not the angry comments or posts on X.
I think something to highlight also is not all my ideas are green, especially on short term timeframes! My core three themes are Neoclouds (Energy), Memory, and Photonics. And I'm glad I chose the literal top performers for each segment from $NBIS to $EWY leaps to $SIVE. However, I still have pretty large losses following the false analyst report on CPO delays that $NVDA refuted: That nuked 3 of my TW CPO longs from Foci, Msscorp, Xintec and others. (which are heavily red). Shunsin / Win Semi are holding up much better though. Some of the other ones in Japan that I've mentioned like Towa, Harmonic Drive, NCI, etc. are performing much better following short-term volatility. As for Korea yes I have PTSD for from Auros and now Foosung that are both both red (I didn't own 093370 though, just got PTSD watching price action). Idk if I'll touch Korea again, just way too volatile. But I still think those will end up green eventually following Sk hynix/samsung qualifications + HVM, and the future japanese supply chain shutdown. I also did change some of my previous long ideas like $XLU following the Iran War nuking all chances of rate cuts from 3-4 down to 0, and that didn't play out too well. Three software names I mentioned previously like $TTD, $META ended up red. $SNAP, I also changed my thesis after noticing the endless SBC accounting methods. $RDDT idea was finally in the green from $130 -> $170 after a long time. But I think the vast majority of my ideas like $MRVL, $NBIS, $ARM, $INTC, $MU, $LITE, SK Hynix, Samsung, for larger cap. Down to $AXTI, $LITE, $AAOI, $RPI, $IQE, and others for smaller cap positions directionally play out pretty well. With random stuff like $SIMO, $HPS.A, $TSEM, $AEHR, $LPK, $SOI, $ALRIB, and so on all ended up turning out aight too. The blended average is kinda overwhelmingly green since majority of my long ideas are triple digit YTD. But I've definitely missed a few. Also entry point is really important too... I mentioned $AAOI at $30 or $AXTI at ~$13, but not everyone has the same entry point. So if someone bought AOI at $220 and it dropped to $160, I'd feel bad. But regardless, I'd prefer to judge how ideas play out on medium term timeframes over a few months rather than a few weeks.
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.