Trader Casper

159 posts

Trader Casper banner
Trader Casper

Trader Casper

@trader_casper

Former SaaS founder (exit). Now a full-time trader. I share the wins, the losses, and what they teach me.

Germany Katılım Eylül 2025
53 Takip Edilen69 Takipçiler
Sabitlenmiş Tweet
Trader Casper
Trader Casper@trader_casper·
The NVIDIA bottleneck isn't just chips. As we move toward "million-GPU factories," the real wall isn't compute power. it’s heat and electricity. Traditional copper and even current "fast-and-narrow" fiber are becoming too power-hungry. This is where Co-Packaged Optics (CPO) comes
English
1
0
2
258
Trader Casper
Trader Casper@trader_casper·
Disclaimer: Just my personal observation, not financial advice.
English
0
0
0
17
Trader Casper
Trader Casper@trader_casper·
Backed by DARPA and European agencies (Luxembourg/ESA). This is more of a "Data-as-a-Service" infrastructure play than a risky satellite launch bet. Ticker changes to $NSTR in Q3. Definitely one for the watchlist if you prefer engineering facts over hype.
English
1
0
1
31
Trader Casper
Trader Casper@trader_casper·
Big news today in the Space sector. NorthStar Earth & Space is going public via $VACI. Finally, a Space company that isn't just "visionary" but actually solves a massive infrastructure problem: Space Situational Awareness (SSA)
English
1
1
2
96
Serenity
Serenity@aleabitoreddit·
It doesn't need to be detailed with $ALRIB? > Riber effective, profitable duopoly with $VECO on MBE equipment, that traded at low fwd multiples. > $MSFT Quantum as core hyperscaler buyer of Riber from public information discovery > $IQE, QD Laser (Quantum dot), IntelliEPI and others using it. Thought process: What other companies under $1B supply directly to hyperscalers like $GOOGL to $MSFT for their frontier programs? And are critical suppliers that can't be replaced? Can't really name any aside from $AEHR, but that's now $2.3B from $600m... So thought $ALRIB was compelling for Quantum/Silicon Photonics exposure. If a profitable ~300m company is powering a hyperscaler's quantum frontier program… Probably going to get re-rated triple digits over time.
Serenity tweet media
Bottleneck Investor 🦑@auer_trist24737

@aleabitoreddit I think many people are interested in your detailed thoughts on $ALRIB.

English
82
47
564
219.3K
Trader Casper
Trader Casper@trader_casper·
@MoodyWriter13 It all depends on execution, but the future could be bright if they manage this right.
English
0
0
0
438
Moody
Moody@MoodyWriter13·
Right now, virtually every European company with a photonics angle is being hyped, even when it has little or nothing to do with the actual demand driver in AI data centers. All the more remarkable that this isn’t happening to Germany’s premier photonics company, ams OSRAM (€1.16bn Market Cap). Upfront: there is currently no meaningful exposure to AI data centers, but there is a technologically compelling pipeline. Together with AMS, OSRAM commands one of the broadest competence bases in photonics and especially sensing, from automotive through MedTech to industrial applications. It also appears well positioned in VR/AR, and prospectively in robotics. On March 18, ams OSRAM unveiled a microLED prototype: hundreds of tiny LEDs, each roughly half the width of a human hair, transmitting data in parallel between servers. Instead of a few extremely fast lasers, the approach uses many slower channels with a significantly better energy profile. They call it “slow-and-wide optical interconnects.” Microsoft and MediaTek announced their own microLED AOC collaboration on March 17 – one day before ams OSRAM. Doug Burger, Technical Fellow and CVP at Microsoft Research, calls it “a major leap in AI datacenter efficiency.” Hyperscalers see microLED as a serious path forward, not an academic experiment. According to MediaTek/Microsoft, the approach enables up to 50% energy savings versus VCSEL-based solutions – and energy is the central bottleneck in data center expansion. Beyond energy, reliability matters. Microsoft Research’s MOSAIC paper (SIGCOMM 2025) reports that an optical link fails every 6 to 12 hours in a 100,000-GPU cluster. Particularly problematic for training large models. Important: this isn’t a pure lab solution. The technology is derived from EVIYOS, which has been running in production vehicles since 2023 and won the German Future Prize in 2024. The bottleneck isn’t the microLED itself, many players master GaN epitaxy, but the combination of high-frequency epitaxy (>1 GHz), monolithic microLED-CMOS integration, and automotive-qualified volume manufacturing, which means scalability and reliability are already proven. ams OSRAM also makes emitters and photodiodes in-house. MediaTek and Microsoft had to assemble their partners from different vendors. Most importantly from a hyperscaler perspective: EVIYOS has been running in cars for three years. Automotive qualification is harder than any lab demo. In large AI clusters, optical link failures are a real operational problem. Copper is more robust but limited to short distances. MicroLEDs address exactly this gap: greater reach at copper-like reliability and better energy profile. The efficiency advantage also comes from integration itself, precisely where CPO is struggling today with the extreme precision required, as I explained earlier this week: laser coupling and testing need sub-micrometer to micrometer precision. MicroLEDs as surface-emitting devices with a larger spot are mechanically far more forgiving, across hundreds of channels, that’s what decides the economics. That said, this remains a long-term case. Broader adoption is realistic no earlier than 2029/2030, and the application is limited to short distances (intra-rack / rack-to-rack). For longer reaches, VCSEL and silicon photonics remain dominant – and continue to evolve. ams OSRAM is addressing a real weakness in data center design with differentiated technology. But: it remains a niche for now. Anyone investing here is betting on optional upside, not near-term AI revenues. The company is strong in its core markets and carries significant optionality. However, it also carries high debt. Apart from the debt load, the business is qualitatively well positioned. I don’t have complete research on the name. Anyone considering an investment should do their own research first.
English
19
7
141
16.6K
Trader Casper
Trader Casper@trader_casper·
👇 ams OSRAM is still overlooked in this market.
Moody@MoodyWriter13

Right now, virtually every European company with a photonics angle is being hyped, even when it has little or nothing to do with the actual demand driver in AI data centers. All the more remarkable that this isn’t happening to Germany’s premier photonics company, ams OSRAM (€1.16bn Market Cap). Upfront: there is currently no meaningful exposure to AI data centers, but there is a technologically compelling pipeline. Together with AMS, OSRAM commands one of the broadest competence bases in photonics and especially sensing, from automotive through MedTech to industrial applications. It also appears well positioned in VR/AR, and prospectively in robotics. On March 18, ams OSRAM unveiled a microLED prototype: hundreds of tiny LEDs, each roughly half the width of a human hair, transmitting data in parallel between servers. Instead of a few extremely fast lasers, the approach uses many slower channels with a significantly better energy profile. They call it “slow-and-wide optical interconnects.” Microsoft and MediaTek announced their own microLED AOC collaboration on March 17 – one day before ams OSRAM. Doug Burger, Technical Fellow and CVP at Microsoft Research, calls it “a major leap in AI datacenter efficiency.” Hyperscalers see microLED as a serious path forward, not an academic experiment. According to MediaTek/Microsoft, the approach enables up to 50% energy savings versus VCSEL-based solutions – and energy is the central bottleneck in data center expansion. Beyond energy, reliability matters. Microsoft Research’s MOSAIC paper (SIGCOMM 2025) reports that an optical link fails every 6 to 12 hours in a 100,000-GPU cluster. Particularly problematic for training large models. Important: this isn’t a pure lab solution. The technology is derived from EVIYOS, which has been running in production vehicles since 2023 and won the German Future Prize in 2024. The bottleneck isn’t the microLED itself, many players master GaN epitaxy, but the combination of high-frequency epitaxy (>1 GHz), monolithic microLED-CMOS integration, and automotive-qualified volume manufacturing, which means scalability and reliability are already proven. ams OSRAM also makes emitters and photodiodes in-house. MediaTek and Microsoft had to assemble their partners from different vendors. Most importantly from a hyperscaler perspective: EVIYOS has been running in cars for three years. Automotive qualification is harder than any lab demo. In large AI clusters, optical link failures are a real operational problem. Copper is more robust but limited to short distances. MicroLEDs address exactly this gap: greater reach at copper-like reliability and better energy profile. The efficiency advantage also comes from integration itself, precisely where CPO is struggling today with the extreme precision required, as I explained earlier this week: laser coupling and testing need sub-micrometer to micrometer precision. MicroLEDs as surface-emitting devices with a larger spot are mechanically far more forgiving, across hundreds of channels, that’s what decides the economics. That said, this remains a long-term case. Broader adoption is realistic no earlier than 2029/2030, and the application is limited to short distances (intra-rack / rack-to-rack). For longer reaches, VCSEL and silicon photonics remain dominant – and continue to evolve. ams OSRAM is addressing a real weakness in data center design with differentiated technology. But: it remains a niche for now. Anyone investing here is betting on optional upside, not near-term AI revenues. The company is strong in its core markets and carries significant optionality. However, it also carries high debt. Apart from the debt load, the business is qualitatively well positioned. I don’t have complete research on the name. Anyone considering an investment should do their own research first.

English
0
0
5
158
Finn Stockinger
Finn Stockinger@FinnStockinger·
Alpha is a social sport. Everyone asks how I caught $SIVE at 4.12 SEK (now almost 350% up) hours before Serenity or how I flagged early $IQE and many others great asymmetric pick. The truth? I treat my comments section like a high-level research desk. A significant amount of my best ideas come directly from you. While I spend my days filtering through the noise, the "pearls" are often hidden in the replies of sharp retail investors who are grinding harder than the institutions. Here is how I see it: By the time a major account "discovers" a ticker, this community has usually been dissecting the filings for days. My job isn't just to find stocks; it’s to listen to the right people and verify the thesis. To my followers: Thank you for the due diligence you share. There is world-class talent on this platform, and I’m proud to be part of the conversation with you. I don’t have all the answers, but together, we’re seeing the moves before the rest of the market even wakes up. Let’s find the next one together. Repost this to help us reach the sharpest minds on this platform - the more eyes we have, the more "undiscovered" picks we find. Bookmark this thread, as the comments below will likely become a goldmine of research over the next 24 hours. ➡️What are you digging into right now? Drop a ticker and a one-sentence thesis. 👇 I’ll pick the most compelling ones and write a deep dive on them soon.
English
28
7
347
59.9K
Trader Casper
Trader Casper@trader_casper·
Disclosure: This is for informational purposes only and is not financial advice. Please conduct your own due diligence. I currently hold a position in ams-OSRAM $AMS.
English
1
0
2
272
Trader Casper
Trader Casper@trader_casper·
The NVIDIA bottleneck isn't just chips. As we move toward "million-GPU factories," the real wall isn't compute power. it’s heat and electricity. Traditional copper and even current "fast-and-narrow" fiber are becoming too power-hungry. This is where Co-Packaged Optics (CPO) comes
English
1
0
2
258
Trader Casper
Trader Casper@trader_casper·
If you’re not fully familiar with photonics, this article does a great job explaining why data centers are moving from copper to light as the transmission medium. And why ams OSRAM is an interesting company to own as it is the only volume manufacturer of microLEDs in Europe.
Trader Casper tweet media
English
1
0
1
150
Serenity
Serenity@aleabitoreddit·
There's many nuanced architectural changes for "supercycles" in photonics. If you feel like you missed $LITE from last year, just frontrun the next cycle with CPO / lasers. $SIVE was my lesser known pick for laser exposure. They're in $JBL 1.6T LRO, $MRVL via Celestial, O-Net -> Hyperscalers. Which is extremely abnormal for a ~$350M MC company. If I had to draw parallels: it's similar to $AAOI 2025 or $AEHR now with current qualification cycles before volume. Which is why retail misunderstands it when you look at purely financial numbers today with negative eps or capex spend. And a lot of that execution uncertainty with volume production / capex spend for scaling dfb laser is de-risked from Win Semi. However, it looks to just keep ramping past 2029+ starting from H2 2026. Might be a little early... But I think it's a decent read on what's up and coming. Dilution is a real risk. But a lot of fears are priced into its ~$350M MC, especially when a company like $AVGO or AlChip can just buy $SIVE for vertical integration or to troll Marvell’s CPO program.
Serenity tweet media
Tim@tim_pscl

@aleabitoreddit bro i dont wanna fomo into photonics but i really would like exposure to the sector

English
49
46
502
123.8K
Trader Casper
Trader Casper@trader_casper·
For the record, those weren’t all my buys 😉
R@R00041451

@cashInsider AMS Osram: Der Markt ist gerade mal 20 Minuten offen und schon sind über 330'000 Stück gehandelt – bei einem Ø-Volumen von rund 603'000 sind das bereits über 50 % des gesamten Tagesvolumens.

English
0
0
1
127