Dashboard/$AXTI
$AXTI
AXT, Inc.
110.74 +13.95%
2026-02-172026-06-15
L 23.21·H 140.83
83 closes · daily · Yahoo Finance
Market Cap
$7.24B
P/E
52w Range
2 – 143
Mentions 30d
26
01
FinTwit Mentions
43 tweets · last 180 days
@aleabitoreddit
22h ago

Today, there's a new report that China eased InP substrate exports. Which is expected to relieve mass production bottlenecks in the photonics market (source: Digitimes) My optical positions are very happy to hear this: From $AXTI (substrates), $IQE (epiwafers) to $AAOI (lasers) / $LITE / $SIVE, and others. Taiwanese optical players like VPEC, Landmark, and others should go brrr as well. Just to recap: the photonics market, especially for laser companies is moreso "how much can you make" rather than how much demand is there. InP substrates was one of the main bottlenecks affecting upstream capacity. So if you're able to make more = more revenue.

683 likes70 rt160 replies
@aleabitoreddit
1d ago

This is gonna upset a lot of people: But TA is astrology for traders. It's confirmation bias + trading human psychology about entries. Kinda like how people frontran $SPCE from $SPCX IPO expecting retail to mess up tickers by trading psychology. $SIVE didn't go up 1900% because of the golden cross space comet firebreathing dragon candle that someone is trying to sell for $499. It's because markets are pricing in future revenue from $JBL, $GFS that got announced. $AXTI didn't go up 8000% because the golden waterfall candle alert sounded back at $8. it's because of InP substrate, game theory on ASP hikes, export controls, photonics demand, and others. If you want to figure out psychologically what other regards are believing, you use TA. But for determining the actual upside... nah People have been drawing $120+ TAs on $IREN for the past idk how many months none of that crap matters when there's a $6B ATM that needs to be bought through first. It's by theme (eg. $LITE to $AAOI relations), any news catalysts that affect forward revenue, projections, macro news, earnings, float dynamics, and so on. Then you can just derive what MC that company should be at. So for entry points, sure you can use TA. For determining where the stock heads, just throw the tyrannosaurs rex omega-green candle indicator out the window.

787 likes51 rt343 replies
@aleabitoreddit
2d ago

It’s been officially 3 months since I posted my $SIVE long thesis back at 4 SEK. This idea is now up ~1900%… With many US institutions from JPM to Fidelity only recently entering positions. Probably my 2nd greatest thesis of all time after $AXTI. Did you listen anon? https://t.co/dSZ6AeTJYL

864 likes35 rt214 replies
@aleabitoreddit
2d ago

The AI supremacy Wars begins. Think a lot of the upstream supply chain bottlenecks caused by each Country export controlling each other (eg. $AXTI) Should present some interesting opportunities in the near future. That being said, Anthropic was getting distilled left and right in Singapore -> China and others. Hot take, but steps like this do help preserve American dominance in AI, keeping the most advanced model at home. I don’t think Superintelligence should be global access, since we’re starting to get into uncharted territories.

1,306 likes90 rt228 replies
@aleabitoreddit
3d ago

Just some reflection, my core high conviction ideas from 2025 aged super well! From $ALAB: $97-> $372 $LITE: $330 -> $904 $AAOI: $30 -> $175 And others like $NBIS, $RKLB, and $TSM! This was back when I had close to no followers! I got some nuances slightly off before more information was made public. Lost conviction on ALAB along the way with optical transitions. But this was back when AAOI and others were small $3B companies (~$14B now). So maybe some others in the same range today like $SIVE should get some more attention? But I’m happy a lot of them aged super well. And I think a large part of my recent following growth is just other seeing my ideas like $AXTI get validated over time.

882 likes37 rt264 replies
@aleabitoreddit
4d ago

Oh look… a new report by Reuters shows China’s control over InP threatens the AI DC buildout. Who could have guessed $AXTI would have been a major point of failure? https://t.co/mu9sOWGHN6

796 likes49 rt243 replies
@aleabitoreddit
6d ago

I do see a lot of comments about "harvesting the leeks". And I hope my picks like LeaderDrive can help change that perspective around certain equities being good long term holds. I think my only Chinese listed pick was Innolight last year, and that's up triple digits to ATH? All my ideas come from a Western perspective (eg. institutional research from JP Morgan / Goldman Sachs I synthesize) and what US hyperscalers like $GOOGL or $MSFT require. And I do consider about geopolitical tensions + game theory all the time, such as with $AXTI. I think a foreigner's perspective brings a different kind of alpha here, and I'm excited to share how this plays out. Regardless, I'm excited to see how adventures in Chinese equities go! (also, I'm just 1 person posting thoughts throughout the day. there's a lot of conspiracy theories going around saying I'm some Chinese institution. and yes, English is my primary language, i typo sometimes since I post 20+ a day on mobile mostly).

717 likes25 rt605 replies
@aleabitoreddit
8d ago

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.

419 likes24 rt91 replies
@aleabitoreddit
15d ago

I wonder if my chokepoint investment theory… With $AXTI to $SOI to $SIVE will be studied in future history books? Regardless, I think everyone here is a part of making history. Given Reuters to Institutions to Countries are reacting to supply chain game theory with Serenity.

731 likes32 rt89 replies
@aleabitoreddit
16d ago

- $AAOI at $12B - $SIVE at $2B - Foci at $2.8B - Shunsin at $2B Usually the best risk/reward to me currently. Lot of my answers before like $AXTI already 10x’d, so different lineup this time. $AAOI due to absurd H1 2027 revenue projections from capacity ramp, doing everything from laser fab to assembly in America. $471M/month… that’s in 2027, the TAM increases exponentially in 2028. $SIVE is also ramping absurdly high, 77% revenue pipeline growth of the entire company’s history to ~$799M Primarily from photonics… in a single quarter. And they’re projecting 60% gross margins off that. Foci - $NVDA / $TSM primarily FAU supplier and bottleneck for COUPE. Genuinely not sure how this is $2.8B. BOM share for their passive components + FAU are massive in 2028. Just a bit early H1 2026. Shunsin - Legit you see Foxconn get CPO/photonics related orders over and over for $NVDA and others. Just nobody knows the packaging/testing gets done by Shunsin. A lot of contracts are also under Shunsin’s subsidiary too.. so markets/algorithms don’t know what’s coming imo. Runner up is $XFAB, they’ll probably be central to EU CHIPS act 2 for silicon photonics at ~$1.5B MC. And of course SiC/GaN foundries should go brr with 800vdc push by Nvidia. Especially if they’re the only high volume one in United States per Dpt. Of Commerce. And it’s such a low price/book ratio so you’re kinda getting the company upside for free, while US Gov/EU Gov subsidize their capex.

1,118 likes91 rt177 replies
@dannycheng2022
17d ago

RT @dannycheng2022: Never underestimate the power of simple charts and the beautify of genuine long term investment—these parabolic stocks are likely to go even higher. $ARM $INTC $AAOI $MRVL $AEHR $SNDK $MU blockstack:native $AMD $AXTI $AVGO I've been charting these outperformers almost daily for months now, whenever I can, to keep my community informed. I’d rather not spend time on laggards — it’s not the best use of either of our time.

0 likes14 rt0 replies
@aleabitoreddit
19d ago

Back when $AAOI was ~$20-30 when I went long: I thought $AMZN and $MSFT were qualifying specific optical transceivers for their ASIC programs. Turns out it’s more interchangeable/mass producible. Regardless, glad my thesis on $LITE, $AAOI, Innolight, $COHR, $AXTI played out so well. Keep in mind: everyone on X was saying “scam management” with $AAOI back at $20-30… Or “scam company” with $AXTI at $12. FUD was pretty extreme. Feels like dejavu again… going long on the next CPO architectural shift like $SIVE or Foci? And getting the same comments. We’ll see if my CPO longs play out the same way like Shunsin does with Innolight or $SIVE does with $LITE. Either way all of those are now up hundreds to thousands of percent.

634 likes34 rt186 replies
@aleabitoreddit
19d ago

Interesting photonics selloff today on no news? $LITE down -4.95% $AAOI down -4.85% $SIVE down -14.8% $SOI down -5.73% $AXTI down -8.13% $IQE down -12.13% I think it’s probably the most compelling theme going forward (even more than power semis). Just tends to be very volatile on the way up. Surprised about $AAOI though given there’s some institutional notes apparently about long term $AMD or $NVDA agreements. (Rosenblatt). Maybe $600m ATM caps some near term upside. $SIVE as well, given EU Chips Act 2 is next week around photonics, and they’re listed on the blueprint. Same with MSCI/NASDAQ omx inflow next week. I’ve been personally adding to positions since I have high conviction in the photonics theme (CPO especially) given TAM expansion overall next 2 years.

1,604 likes119 rt266 replies
@aleabitoreddit
20d ago

This timeline of getting banned on $RDDT WSB for posting about $AXTI. That stock going up thousands of percent. Then becoming the #1 most subscribed to person on X feels kinda like a Naruto redemption arc to become hokage. Only 12k more to go. https://t.co/J8DNEbYXpl

147 likes5 rt24 replies
@aleabitoreddit
21d ago

$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?

36 likes5 rt29 replies
@aleabitoreddit
21d ago

I think I deserve my own Netflix special after $AXTI and $SIVE? https://t.co/WeD80ogRXg

812 likes11 rt158 replies
@aleabitoreddit
21d ago

Did you listen anon? $SIVE is extremely early. And we’re about to see a ton of institutional inflow (Blackrock, Vanguard, MSCI, NASDAQ) next week for the first time. Then, couple that with NASDAQ listing soon, with even more US institutions entering. This is what it’s like to be in a name like $AXTI or $LITE at the very beginning. And this is still at a point before major institutional capital hit the float or CPO supercycle has ramped.

1,103 likes64 rt138 replies
@aleabitoreddit
21d ago

几个值得重点关注的“实质性垄断”标的: - MSSCORP (6830):在检测和 CPO 良率把控上构筑了极深的专利护城河。 - $SOI:主导绝缘体上硅 (SOI) 衬底市场。 - NGK (5333):稳拿薄膜铌酸锂 (TFLN) 晶圆核心技术。 - $AXTI:把控磷化铟 (InP) 衬底等上游关键材料。 像讯芯 (Shunsin) 这类公司其实很难被轻易颠覆,毕竟背靠富士康,而富士康本身就深深扎根于众多核心供应链的腹地 🏭 $SIVE 的逻辑也极其相似。他们已经成功打入 (design in) 了众多顶尖 CPO 架构的设计体系,抱紧了 Ayar、Lightelligence (壁仞的供应商)、Lightmatter 以及 Celestial 等 众行业领军者的大腿 相比之下,个人认为 $HIMX (奇景光电) 或 Foci (上诠) 未来面临被踢出局 (design out) 的风险最大,很有可能会被台积电的光学部门采钰 (Visera 6789) 这类巨头直接垂直整合。不过话说回来,在未来两三年内,借助 CPO 相关的光纤阵列 (FAU) 和无源器件,他们眼前依然有 波巨大的赚钱机遇

1,116 likes139 rt141 replies
@aleabitoreddit
22d ago

AI capex spend is expected to go to "$3 to $4 trillion annually" by 2030 from $NVDA Jensen Huang projections. You're not bullish enough. And it might be a good idea to stay exposed + own the keys of the AI Kingdom: -> $AXTI controls the materials buildout with photonics. -> $SOI controls the AI buildout with silicon photonics. -> $SIVE controls laser chokepoints for CPO. -> $IQE controls Western epiwafer supply chains for photonics. All these started off as tiny companies, yet the trillions of projected capex gradually upward to them.  There's many more in other industries as well. -> AI Capex flows to Neoclouds like $NBIS. -> AI Capex flows to memory like $MU and $SNDK. And many of the "commodity" materials or "science projects" for the past 20 years now a sudden shift in exponential TAM expansion. We're witnessing the next industrial revolution with Artificial Intelligence + Physical AI.

1,262 likes123 rt206 replies
@aleabitoreddit
22d ago

Photonics is nuanced and using ChatGPT/Gemini makes you miss all of it: 1. $SIVE is actually a chokepoint and partially a bottleneck. The reason it's a chokepoint is leading CPO/optical hyperscaler players go through Sivers, likely: Ayar. Celestial. Lightmatter. Lightelligence. Poet. If you take out Sivers, you literally can't make some of their products + delay their roadmap by years. As many are sole/primary source but are heading the direction on multi-source. As for the bottleneck argument: Win Semi is the bottleneck for scaling laser production. But... the nuance is when you have capacity allocated for the next few years. You become part of the bottleneck itself if players fight you for allocation of finished lasers. That's the nuance people miss with capacity allocation dynamics. It's like saying $SNDK is not part of the NAND bottleneck when Kioxia makes all of it. But when Sandisk has the ultimate control of output supply, they become the bottleneck + have all the pricing power. Sivers controls output supply of CW lasers given allocations, and as seen with $LITE earnings, CW laser is currently bottlenecked as everyone seems to be stuck producing EMLs. 2. Like how LLMs always uses em-dashes. You can tell when people use AI when they always use the same "CW is a dumb interchangeable laser" argument or compare "power" specs after conflating different architectures. That's why your "analysts" using AI will get this wrong over and over. There's CW lasers... and then there's a specific architectural design that Sivers achieves with DFB lasers. If you compare power specs with $LITE vs. Sivers, Lumentum wins in isolation. But they're completely different laser architectures. All the leading CPO players like Ayar, chose $SIVE for an architectural reason for high power, low thermal, laser arrays. $JBL 1.6T LRO also made one of the most dramatic moats cited by their fireside chat, using Sivers lasers. If you think CW lasers are interchangeable with Sumitomo/Furukawa, and others. And can be plug-and-play... i don't know what to tell you? Again: $SIVE makes architecturally unique CW lasers for leading CPO players. 3. I'm not sure how many times I need to say this: $SIVE for 2024-2025 has been going through development contracts. People using TTM revenue or former P/S metrics are using completely the wrong metrics, when there's volume ramp in 2027. It's the same with $AAOI which volume ramps in H1 2027. $AEHR which volume ramps after qualification. $LPK that volume ramps after qualification. This is just missing qualification cycles in semiconductors and how to model financials currently. As for the $LITE comparisons (which was also my long last year): $LITE literally started off selling laser dies before acquisition of Cloud Lite and other downstream optical engine components. This is where $SIVE is at today with starting off in the laser chokepoint for CPO: People are modeling laser revenue off very isolated TAM projections. Meanwhile Sivers is targeting M&A to expand revenue for TAM projections. This is not a simple component FAU + ramp valuation modeling over with a Taiwanese company. Since Laser companies like $LITE, $COHR are known to downstream expand to make their lasers more valuable, then vertically integrate (fabs, assembly) afterward. Again, Sivers worked with Ayar and these types of companies before they all became billion dollar companies. I have high conviction knowing they know what to acquire down the ELS/optical engine stack + pluggable transceiver for TAM expansion. It's just annoying when I get people who don't understand the nuances backseat commenting wrong things about my longs. I got the same thing about $AXTI is not a bottleneck! InP isn't needed! China! back at $14. Now it's $140 I got the same thing about $AAOI "is going down 50%!" back at $65. or "AOI management is shady at $30". Now it's $170 I got the "there's nothing new with $SOI" back at $45. Now it's $170. I think I'm one of the few who actually understands the nuances with photonics, since I did call out $LITE, $TSEM, Innolight, $AXTI, $AAOI, $SOI, that outperformed both photonics markets and overall markets over the past year. And now I'm long on $SIVE.

871 likes60 rt89 replies
@aleabitoreddit
23d ago

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.

2,686 likes100 rt290 replies
@aleabitoreddit
23d ago

5 months ago. I gave a PT of $150 with $AXTI. Over 10x that current values from a $500M MC. It’s now a $9.2B MC and $140. $10 away. New $SIVE longs are starting to realize what’s it’s like to be in AXT. And that I’m pretty good at guessing intrinsic valuations of companies. https://t.co/HXAoKmXmaV

784 likes21 rt113 replies
@aleabitoreddit
24d ago

??? $RDDT is literally lower IQ than $IREN investors? I didn't do all this research on $AXTI ... Just for you all to make 380% on it, call it a $MU memory competitor and then a scam? The lack of technical literacy is exactly why I got banned from there. https://t.co/sgrFTgcwfM

521 likes9 rt52 replies
@aleabitoreddit
25d ago

People are really out there saying, don’t doubt me off 10% returns. I present to you: $AXTI https://t.co/1i5iXfWhz2

933 likes33 rt91 replies
@aleabitoreddit
28d ago

Next year… I’m expecting there to be many articles about FAU + component bottlenecks. Especially as the new CPO architecture led by $NVDA + $TSM starts to scale. Then a lot of these names like FOCI (~$2.8B MC) or Nextronics (~$246M MC) that I’m mentioning today will be in the center of it. Despite many of these “commodity” labels… (just look at transformers/NAND) And I’ll do a “Did you listen anon post” like $AXTI. We’ll see if this is right.

932 likes62 rt189 replies
@aleabitoreddit
29d ago

I literally called out a national vulnerability in the AI supply chain. Then went long on the quasi-monopoly in $AXTI. While everyone was doubting me. Guess what anon: it’s on the White House shortage list and one of the major talking points of US-China trade talks 6M later. https://t.co/mVX0vJ5EuD

959 likes36 rt154 replies
@aleabitoreddit
May 15

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?

785 likes32 rt113 replies
@aleabitoreddit
May 15

This $AXTI / InP substrate export controls is EXACTLY why: Trump's America 1st policies should focus around securing its supply chains over in EU/Japan/KR. And weaponizing it against China. US alone has leverage, but everyone together has extreme leverage. If you use Japan to cut off China's humanoid program / upstream chemicals and leverage EU to cut off China's photonics program: They'll bend for substrates and rare earths. You literally need to break their frontier industry development over yields or actually manufacturing the components. Not just threaten 40% tariffs to stop them from shipping cheap goods.

335 likes20 rt44 replies
@aleabitoreddit
May 15

LOL chat no way... Can't believe $AXTI / InP substrates really a major part of the China-US Donald Trump's trade talks with Xi? I got this thesis completely right. But really, Japan should start to cut off upstream machine supply like Ulvac for humanoids. And red phosphorus like Rasa/NCI to China, if they're not shipping. And US should pressure EU to take back their their photonic monopolies like ficonTEC that Chinese companies like Robotechnik managed to buy.

304 likes16 rt31 replies
@aleabitoreddit
May 13

People wonder why I'm focusing on non-US markets recently. Why? CPO is my #1 thematic long. Markets don't know yet, the sudden paradigm shift in photonics... I was one of the only to frontrun the current supercycle in 2025 w/ $AAOI @ ~$30, $LITE ~$300s, and $AXTI at ~$13 on X.... With the actual receipts and thesis that others can't show. CPO goes from ~$0. To $91 Billion TAM opportunity. In the next 1 1/2 years from GS research. While overall optical market reaches $154B. Many players that had little exposure to the current photonics cycle at all: -> In Europe with high-end lasers design like $SIVE or $SOI with substrates. -> In Taiwan with Foci (3363), Nextronics (8147), Shunsin (6451) and others for optical components and foundries. -> In Japan with laser mass production, substrates, and chemicals. Are suddenly the new dominant players for CPO. As for US players, there's not much exposure. But the existing ones like $LITE, $COHR still get upside from CPO as that's their new growth vector. My contrarian thought process on current players: Is that most of their valuation is priced in huge legacy pluggable revenue that will inevitably face cannibalization over time, so re-rating potential is less unless someone uses leverage. A lot of these new purer play CPO names go from 0 to 100 extremely quickly one mass production starts H2 2026 for scale out (as a revenue bridge) into H2 2027 for scale up (massive growth driver). Markets usually price things in 8-12 months ahead of time too... I have high conviction thematically in my supply chain research despite any market volatility leading up until then.

781 likes54 rt63 replies
@aleabitoreddit
May 12

Random CPO related names I like: - $SIVE - Foci (3363) - $TSEM - Browave (3163) - PCL (4977) - $AXTI - Msscorps (6830) - $IQE - Shunsin (6451) - Furukawa Electric (5801) - $MTSI - Nextronics (8417) - $LITE - $COHR - FitTech (6706) - $GFS - $ASX - LandMark (3081) - $SOI Disclosure: I own most, not all though.

635 likes51 rt75 replies
@aleabitoreddit
May 10

Did you remember my $AXTI InP substrate bottleneck call last year anon? IntelliEPI CEO (Q1 2026 ER): "The InP substrate shortage is a bottleneck for the entire AI infrastructure" Digitimes: "Taiwan's IntelliEPI warns of severe indium phosphide supply shortage" I said as photonics ramps: There was going to be a major InP bottleneck as all the next-gen AI architectures go optical. This was most goated call with AXT as the upstream chokepoint. I'm usually a few months ahead of time, but they play out directionally. While I'm sitting in existing bottlenecks up 1800%+, I'm long CPO as the next major supercycle.

1,178 likes68 rt104 replies
@aleabitoreddit
May 8

I’m just going to leave this here with $AXTI. 100% of the comments were negative when I posted at ~$13. And I got banned later after it went up 10 times. https://t.co/6FrSXod6s8

1,644 likes53 rt190 replies
@aleabitoreddit
May 8

I've noticed that it's always like 4-6 weeks after my thesis post... That a bunch of institution start buying up names like $AXTI, $SOI, or $IQE. I'm not sure if it's just luck with timing. Or if they're reading my posts and need time for DD? https://t.co/jwCXyl9mb6

999 likes30 rt94 replies
@dannycheng2022
May 6

Never underestimate the power of simple charts and the beautify of genuine long term investment—these parabolic stocks are likely to go even higher. $ARM $INTC $AAOI $MRVL $AEHR $SNDK $MU blockstack:native $AMD $AXTI $AVGO I've been charting these outperformers almost daily for months now, whenever I can, to keep my community informed. I’d rather not spend time on laggards — it’s not the best use of either of our time.

264 likes14 rt12 replies
@aleabitoreddit
Apr 14

A Guide by Serenity: How to Cripple the Western Hyperscaler buildout with just $170m. Just take over Nippon Chemical (4092) with $169m! For InP substrates, you need: Indium and High Purity Phosphorus. Thought $AXTI was a bottleneck? NCI is the bottleneck of the bottleneck. NCI is actually the leader of the high purity red phosphorus chokepoint holding 26-27% of the market share (Rasa has less share, then the rest is China). And they export to $AXTI, Sumitomo, JX that need it to make InP substrates. 
So… if you have $160m to spend to acquire NCI (plus Rasa as smaller capacity), you can remove the leading Western world’s production of 6N/7N red phosphorus needed to make InP substrates! And without InP substrates: no photonics. Fun fact: China’s tech companies would get pretty disrupted with it too by NCI. For $AXTI, the mapping/reliance is actually pretty interesting: - AXT's Tongmei outlined its structural reliance on importing high-purity precursor materials from Japan on their STAR Market listing 
- WITS data showing ~$460/kg high-purity phosphorus flowing from Japan into China So they secretly do depend on NCI. 
China does have capacity like Wylton Chemical, Qin Xi New Materials, Jinding Electronics, and Chuxiong Chuanzhi, Guizhou Wylton Jinglin Electronic Materials as well. However, they’re all smaller players so can’t make up for high purity red phosphorus capacity provided by NCI for InP substrate production at scale. $LITE CEO already said inp substrates keeps him up at night. So now with NCI, you can give the guy permanent insomnia? For just $169M. So here's what the supply chain looks like: -> DGC phosphate rock mine and ships it to NCI -> NCI refines Yellow Phosphorus into High Purity Red Phosphorus -> Sumitomo / JX / AXT melt the Red Phosphorus with Indium to grow InP Substrates -> $COHR / $LITE fab InP substrates into Lasers -> Innolight/Fabrinet package them into 800G/1.6T transceivers -> $NVDA / $GOOGL use them for ASIC/GPU clusters. 
And basically, the entire West depends on NCI to make InP substrates for photonics. I hold some very small positions, just for fun. However, Japan is not well known for price hiking. So you’d probably run into regulatory problems eg. FEFTA if you bought the company and hiked prices 15000% (like government seizing back the company once they realize)… Maybe 30-50% hikes is possible to compress fwd p/e? But very likely wont end up like $AXTI. 
 Regardless, this company is a massive, massive national security risk priced at ~$160m. As for fundamentals, they’re trading at .54 book value and a forward P/E of 11.4 so it’s probably undervalued anyway. TLDR: -> Is it the next $AXTI? No. -> Is it an unknown structural bottleneck + critical vulnerability of the Western hyperscaler buildout with photonics? Yes. -> Is there still room for re-rating? Just reverting to Book Value of 1 is immediate 80-85% upside. Maybe more if you give it multiples past 11 fwd p/e. Regardless, it’s fun to find a major point of failure in the hyperscaler supply chains for $169m.

1,284 likes112 rt87 replies
@aleabitoreddit
Mar 18

The more I look into Sivers < $SIVE / $SIVEF > the more I wonder: How is the laser company for the hyperscaler photonic supply chains… Valued at ~$200M USD MC? All the companies that buy and repackage their lasers are now worth $1-4B+? Pre-product SV AI companies are worth billions? Pre revenue Photonic companies in development phase line $LWLG are worth $1B+? Yet the company that makes the silicon photonics/CPO scale up & scale out work. And has actual revenue. ~$200M… Reminds me of early $AXTI when I had zero clue how a company worth $500M MC controlled the InP substrate/feedstock supply chain for photonics. Either I’m completely wrong… or this is the most undervalued and unknown photonics company on the market.

617 likes63 rt52 replies
@aleabitoreddit
Mar 11

Changed my mind about Soitec ( $SLOIF ) and took a sizable position ~43 for CPO exposure. $NVDA GTC next week biggest catalyst pushing photonics and this architecture. ~1.5B euros MC. Trading at 1x book value and ~2x P/S (very depressed valuations) Genuine monopoly over substrates side for CPO (typically very premium valuations for photonics + even extra premium for monopoly status) Algos and analysts might get confused over market share but it’s an actual monopoly over SOI substrates since they give licenses to other players like Shin Etsu for diversification sake eg. $TSM doesn’t like just 1. I don’t think institutions will wait until next year to frontrun these names like Soitec or $TSEM (and most probably haven’t even heard of these names like $AXTI yet) This timing would be buying the likely bottom of the depressed smartphone cycle, while getting full upside of CPO mid-late 2027 + $NVDA GTC catalyst next week. I personally think it’s a 3x from here so I went long.

867 likes67 rt85 replies
@aleabitoreddit
Feb 25

-> $LITE is a known $GOOGL supplier. -> $IQE is a known $LITE supplier. -> $AXTI is a known $IQE supplier. Google TPU + Hyperscaler ASIC BOM are extremely confidential. But you can kinda guess from relationship mapping even though nobody will say $AXTI or $IQE supplies to X hyperscaler? You'd be surprised how multi-hop relationships are missed.

1,126 likes100 rt43 replies
@aleabitoreddit
Feb 25

Not exactly! I'm just a tad more familiar with photonic supply chains than I am with energy so I like picking potential winners. Just wanted to introduce $IQE into the equation like i did with $AXTI, so I could do a "Did you Listen Anon?" post 3 months later if it turns out well.

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@aleabitoreddit
Jan 18

$WOLF was probably the most interesting one up there after restructuring. $LPKFF also for glass substrates and they own the laser induced deep etching at a $169m MC, so possibly most explosive 10x upside. $MTRN is probably the most stable one up there with decently high upside given it owns the mountain for ~65% of the world's Beryllium. There were a few others but just the fundamentals were either really bad or their bottleneck was too niche. $LPTH's bottleneck for example spreads across both defense, AI, drones, etc. $AXTI's bottleneck was so big and AI is such a big sector so it doesn't need to be spread across (but InP is used in a lot of other sectors too).

166 likes26 rt7 replies
@aleabitoreddit
Dec 26

Thanks, we might not see a InP substrate bottleneck yet, but we’ll likely see it when hyperscaler ASICs (TPU, Trainium, Maia, etc.) ramp up -> supply strains like memory mid-2026. That doesn’t quite mean material providers should be valued like $LITE, but the fact that the entire future AI buildout has a single point of failure that comes from a small $600m company like $AXTI is amusing.

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@aleabitoreddit
Dec 26

Warning: The entire AI industry will likely be bottlenecked by two companies: 1. $AXTI ($700M) 2. $SMTOY ($31.7B) Which both control 60–70%+ of the world's InP substrates. Future $NVDA, $GOOGL TPU v7 pods, $META, $MSFT, $AMZN hyperscaler clusters require InP-based lasers and receivers. $AVGO, $LITE, $COHR use for EMLs for 800G/1.6T transceivers, DFB lasers, and other optical infra. Without InP substrates, the supply chain falters. After looking at TPU BOM to Maia BOM, it looks like future ASICs + GPUs + hyperscaler deployments are heavily reliant on photonics. And two vendors could freeze the global InP substrate market covering nearly all of: - Hyperscaler optics (TPU pods, etc) - Optical transceivers (5g, data) - LiDAR (robotaxis, drones, military) -Optical Modules (interconnect clusters) - Silicon photonics laser dies (Nvidia’s future co-packaged optics and Intel/Broadcom SiPh engines use InP CW laser arrays.) Since these companies make up majority of the market supply: -AXTI (est. ~30–35%) -Sumitomo (est.~30%) - JX Nippon (est. 10-15%) That’s it. (eg. 2021 industry note from Yole states that "Sumitomo Electric + AXT together had “more than 75%” of the InP substrate market") Hyperscalers/AI are moving toward photonics but the entire AI industry is fragile. If either $AXTI or $SMTOY stop supplying materials, the entire future AI buidlout gets crippled. It's even crazier that a $700m company could become the the center of it all. InP substrate will likely one of the biggest bottlenecks alongside HMB as the AI industry shifts to photonics.

3,666 likes375 rt115 replies
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