At this point I can't tell anymore if markets from $META to $MSFT are correcting because of macro. Or just liquidity pull from $SPCX + index inclusion. And institutions frontrunning Nasdaq 100 and other rebalancing of SpaceX... Anyone know? https://t.co/sTLjsGq95V

$META (June 8, 2026-weekly chart) Despite the recent pullback, the weekly chart of $META remains constructive, continuing to print higher highs and higher lows. For the uptrend to regain momentum, price needs to reclaim and hold above the two most significant momentum bars at $594.20 and $645-range consistently. In the meantime, the $580 zone should serve as strong support — an attractive area for whales to defend. I’m already positioned in $META and will continue adding on weakness.

Yeah… I think all your upstream semi supply chain companies are going much higher. Goldman now expects a combined $5.3 trillion of capex spending for the four largest hyperscalers $GOOGL / $META / MSFT / $AMZN from 2025 to 2030. Revised up from $4.5T from Q1 earnings. “Aggregate capex est. $7.6 trillion between 2026 and 2031.” And it flows upward to these tiny chokepoints like $SIVE for CPO lasers/ $SOI for Silicon Photonics substrates. Leaderdrive/Harmonic for Humanoids components. And so on… Ai names don’t move in a straight line up, but is just the beginning of the next Industrial Revolution as we move from R&D/compute buildout into commercialization from Agents -> Physical AI -> discovery.

Just some random notes about $AVGO earnings transcript - Revenue target reiterated ($100B+ 2027, pretty sure markets wanted that to be raised this earning, hence the drop) Remember $NVDA Jensen comments about $MRVL $1T company around networking/connectivity/interconnects? - “So as the TPUs continue to accelerate, there’ll be pressure overall on margins. But the connectivity side, the AI networking side of the business has very rich margins” “Demand for … networking is simply insatiable” Also very positive read through as well for the $LITE and the other players. But for TPU margins it goes down at scale, which is understandable. - “they are placing orders in fairly huge demand, which basically gives us a lot more visibility.. runs all the way to 2028 right now” positive read through on overall AI demand since it’s 2026 now… and orders are out in 2028 - The initial order for 1 gigawatt, which includes XPUs and our networking has been received and will start Delivery in the second half of 2027. for our other two customers, we expect shipments to begin late 2026 and accelerate into 2027. $META custom AI program h2 2027 timelines - “Our revenue, our content per gigawatt will increase. you start putting a lot, you start putting embedding CPU cores into the same XPUs and making those chips basically multi die with lots of hvm.” Just for the GW modelers. - “For OpenAI we have delivered silicon and we are on track for production late 2026” OpenAI custom program timeline - “If you ask about 27 or 28 that will continue to grow. We expect in fact 28 to be a substantial growth from what we are forecasting in 27.” More about the demand ramp, go brrr - “Google, that we expect a diversity of sources from them” Mediatek (2454) primary beneficary, maybe $MRVL. Already expected though Google doesn’t sole source so they don’t get bottlenecked. There’s quite a lot of AI demand visibility way until 2028, which is bullish on the AI sector as a whole. Regardless, Broadcom ends the week +0% lol. TLDR: Strongly bullish AI demand, especially networking. Stocks don’t move in a straight line up, but demand curves 2026-> 2027 -> 2028.

Ayar’s announcement today with Wiwynn is potentially very material for $SIVE regarding CPO -> rack scale deployments. As Wiwynn cloud clients include $AMZN, $META, $MSFT. And they’ve been in talks for $GOOGL TPU deployments. I think just for some reference architectures it’s around 512+ supernova light sourc a rack. So if $SIVE is the primary laser array supplier (which we expect, given Macom + Lumentum was removed from Ayar’s site). Even modest rack deployments would be very meaningful for revenue. This is just rack scale commercialization potential right now from $SIVE / Ayar / Wiwynn, which won’t show up in revenue financials yet.

Feels like $FUTU and $TIGR are kinda screwed? The Chinese Gov is going after their historical revenues. There's basically no fair law in China (esp. with IP), so if Gov wants something done, courts will be rigged against them. So no chance of an appeal, unless they make a hidden deal. Also don't think the brokerages are able to pull a $GOOGL like their 20 decillion fine, given local operations So TLDR: Good lesson learned to avoid Chinese exposure from $BABA to $PDD as much as possible... And (as seen with $META + Manus + this case), even if something looks cheap. There's a reason why all the US equities have premiums, even if a little high.

Bullish on $ARM, given the new bottleneck shifting back to CPUs. MS shows stuff like Orchestration/RAG requiring CPUs. But I'm predicting parts of localized inference to be handled by CPUs more and more... as models like Gemma get lightweight in the future. Not every robot needs to be able to solve the mysteries of the universe. Data centers will need an astronomical amount of traditional CPU compute (AWS Graviton, $GOOGL Axion, and $MSFT Cobalt), which are all ARM based. $META + OpenAI are also buyers of the AGI CPU. And AI will flow down to edge. $15B annual revenue target.. Starting to look reasonable?

Taiwan $NVDA CPO supply chain ide #1: Shunsin (6451 TWSE) - Photonics Packaging at ~$1.4B MC. It's a subsidiary of Foxconn. And Foxconn is ODM for $NVDA. It's almost like Celestial got listed by $MRVL and got a free piggy back ride? Some personal est. 2027 fwd ~20 P/E, that compresses harder into 2028, 2029. Shunsin's optical division openly lists their markets as "CPO 51.2T/102.4T" and "Pluggable XCVR 800G/1.6T. Markets themselves as "Supported by Foxconn's vertically integrated supply chain for fast project ramp" If you look at $TSM COUPE for $NVDA, they don't assemble final fiber arrays/racks, Foxconn does. So $NVDA's CPO networking gear probably goes through Shunsin's alignment and bonding machines? And $GOOGL, $META optical switches probably end up thorough them too since they scaled Vietnam CPO facilities (speculative). Basically you get a free Foxconn piggy-back ride with this company at low forward multiples. Disclosures: I am personally long.

Here's a bunch of random 30 US-available random stocks I like today and why: 1. $INTC - America's hope for foundry, national security 2. $MRVL - scales rev from future maia asics and add ons like cpo, they do everything lost count 3. $TSM - backbone of semis/ai 4. $COHR - They do everything vertically integrated + captures optical cycle 5. $RKLB - the final frontier of space will be around 5 years from now and 20 years from now. 6. $DRAM - memory exposure for samsung/sk hynix 7. $AVGO - hyperscalers dont like nvidia gpu tax 8. $AMZN - nobody can compete against the overnight shipping of toilet paper. robotics will lower opex over time 9. $ARM - AGI CPUs scale revenue quite a bit over the next decade 10. $TSEM - you're going to need a foundry for light based stuff 11. $IBIT - bitcoin, we all know by now 12. $NBIS - i think it's the next AWS. Also they do self-driving cars with uber, own scaling DB companies, data labeling. It's almost like a mini Google. 13. $GOOGL - youtube is not going away, gemini is great. they're vertically integrated with TPUs and fund buildout with operating income so i like it. 14. $AMKR - super facilities coming online in late 2027-2028. benefits from made in america 15. $HOOD - i dont like short term, but long term i'm a fan of Robinhood since they captured retail + have more products like banking, etc that they're scaling up. product innovation is wild. 16. $CRCL - I happen to really like stablecoins and see them as the future for both payments/holding (depends on clarity act) 17. $META - people aren't going to stop using instagram or whatsapp, or others anytime soon. 18. $LITE - $GOOGL TPU exposure decently high part of BOM. As long as Google's AI program keeps running I think $LITE will do well. 19. $LPTH - Germanium and China export controls will always be an issue so US made engineered alternatives will always be important 20. $FN - Someone needs to assemble optical stuff 21. $JBL - same as above, but added with ip from Intel's SiPh acqusition so might end up like innolight? 22. $MP - American rare earths program is extremely important, similar to $INTC national security risks 23. $HIMS - Okay here me out they just acquired a ton of companies, and at $19 they have global DTC channel. short sellers really hate this company, but I think it's actually promising as a contrarian long 24. $SMTC - LRO/LPO transition 25. $POWL - US alternative to hammond for switchgear DC type bottleneck 26. $VPG - Humanoids will be a thing down the road maybe 2027-2028, this makes the sensors. 27. $MOG.A - Feels like i see them everywhere in robotics, to spacex supply chains 28. $MSFT - At $375, one day we'll look back and see this as a buying opportunity. 29. $CVX - oil might crash after war but these oil companies are going to be extremely important, especially when Venezulea is a goldmine. 30. $XLU - i think rate cuts might be back online, we need power/grid for AI so these names will always be improtant from $CEG to $NEE Just throwing out other thoughts aside from $AAOI and $AEHR.

The current bottleneck: Transformers/Switchgear. 

Trade Idea: Long Hammond (~2.2B CAD / ~$1.5B USD) at 184 CAD. They dominate the market for: -Transformers (dry, multi year bottleneck ~23% of market), -serve to switchgear (2-3Y bottleneck) -and manufacture liquid too (5Y, larger bottleneck) 
I personally anticipate components price hikes like NAND, as $AMZN, $MSFT and others compete for allocation. 

You might have seen: “Half of US data center builds have been delayed or canceled, growth limited by shortages of power infrastructure”… Then you go further:

“To address shortages… Canada, Mexico… became the biggest suppliers of high-power transformers for AI data centers to AI data centers”

Guess who is in Canada (Guelph).. Mexico (Monterrey 3 and 4)… and the US?

Hammond

Then here’s the reason the articles cite why hyperscaler DB buildouts are falling apart: 
 “Major reason behind these setbacks is the availability of key electrical components — such as transformers, switchgear”.  Institutions are probably looking at Powell, Eaton, and others… but little do they know? Companies like these actually buy Hammond’s transformers to put inside their own switchgear (“strong sales into data centres, switchgear manufacturers")

Their market share over the transformers market is actually pretty large (eg. ~23% dry).  
The most compelling signal:

-> 122% Y/Y 2025 backlog increase. And we can infer this to be 1B+ CAD.  Eg. company achieved 898m CAD in sales in 2025, capacity ceiling. Management said close of Q3 2025 orders were valued at 53% of the entire closing third-quarter backlog. Given that Q4 2025 revenue was 254 million and the backlog is "more than doubled," we can infer a total backlog value exceeding 1 billion CAD. Also: 
“Gross margin compression last year was due to the buildout of their Mexico facility, but both gross margins are expected to increase and the facility expansions are expectied to turn into accelerated revenue Q2 2026)” which is now.

Downside is if raw material costs (copper, electrical steel) spike again, but given this bottleneck, they can price hike. 

Personal FWD P/E estimates would be ~18-21 for 2026, <15 for 2027 from volume ramp. But I think it’s possible to hit single digit fwd P/E if they do price hikes mixed with hyperscaler emergency orders. But that might get a little mixed with the new acquisition. Regardless still looks cheap. 
 Just a TLDR:  
$AMZN, $MSFT, $META, $GOOGL, $ORCL datacenter are being bottlenecked because of a lack of transformers/switchgear.

Seems like markets missed this little player with large market share, despite backlog visibility and increasing revenue from capacity expansion coming online. I personally found it pretty compelling, so I went long. Just sharing my personal thoughts, of course DYOR before making any decisions yourself.

$AEHR looks extremely promising at ~$1.1B MC. Aehr is starting to remind me of an early $TER, mixed with pre-earnings $AAOI. If we look at the timeline and speculated customers: Feb 11th: Sonoma production win for Hyperscaler's AI ASIC processors. (likely $GOOGL, $AMZN, $META). - Probably Google? Aehr bought Incal, who was speculated to be used by Google for their TPUs. Feb 26th: $14 million from AI lead customer (likely $AMD, $NVDA) - Probably $AMD here for Instinct MI300/MI400. March 3rd: Lead silicon photonics customer for one FOX-XP system (likely $INTC siph) - Very likely $INTC has been their lead customer. March 31st: Initial order from major new silicon photonics customer (likely $AVGO, $MRVL, $CSCO ) - New customer (rules out Intel), prob one of these transitioning to 800G/1.6T silicon photonics transceivers (All speculative, very confidential BOM) Regardless. This timeline is just bottling up for $AEHR. Could be next earnings. Or two quarters from now. But feels like a matter of time before we see mass orders.

CATHIE WOOD HAD A BIG WEEK OF SELLING ARK Invest sold over 4.3 million shares across its ETFs this week vs 494,000 shares bought The heaviest selling was in $RXRX, $ACHR, $NVDA, and $META https://t.co/VtKrmZ29Li

$RDDT is getting ridiculous. Looks completely mispriced. Now down 40% over the past few months. If you strip out carry-forward losses, their net profit is ~28% of revenue, which is absolutely enormous. And they’re growing forward revenues 50%+ Y/Y after 70%+ Y/Y growth. If you ever look at $META, you know how much revenue can be optimized/user. There’s an incredibly high ceiling for monetization with Reddit. It’s already derisked since IPO since Reddit is now one of the fastest growing and highest margin companies in the market. One day if it pulls a $CRCL post earnings, we’ll look back and wonder how this was valued at $24 billion MC.

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.