$MSFT (June 13, 2026-daily and weekly charts) The bearish yellow candle formed on June 13 on the daily chart accurately signaled the current downtrend. Since then, the subsequent daily candles have former lower highs and lower lows, accompanied by a gradual decrease in whale accumulation, currently at 11.2%. This bearish momentum has extended to the weekly timeframe, where MSFT printed another yellow candle. Resuming the intermediate-term uptrend will require consistent weekly closes above $418. In the near term, attention will focus on whether the $380 zone can provide meaningful support.

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

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).

$MSFT (June 8, 2026-monthly chart) Looking back, the bullish red candle has consistently and accurately marked the completion of the bottoming process before every major surge. As I’ve shared with my community, trying to perfectly time the exact bottom doesn’t make sense to me. What truly drives attractive returns is proper position sizing. I will size up on the next bullish candle, and as soon as the next bullish signal appears on my proprietary system, I’ll let the community know ASAP.

$AAOI is actually my favorite photonics exposure in the US market right now. I went long last year with low sizing at $28, back when I guessed they were qualifying with $AMZN and $MSFT. High conviction post earnings at ~$70, when they announced 1.6T and other volume orders with hyperscalers. Capacity projections at $90 for 2027 timelines were bullish. Now at $150, the story from 2025 is coming together with all the laser fab bottlenecks, GS optical TAM projections, Made in America efforts, $NVDA / $AMD discussion rumors. The only thing holding them back is ATM after ATM, and now another $600m ATM… I personally think it easily rerates once the mechanical selling pressure stops. And personally think it could be a 4-5x return in 12-24M. Also I don’t know who calculates those forward p/e’s on the screener websites but they’re all extremely off.

Hot take: Given $MSFT laptops/PCs are now likely using $NVDA hardware. They might have a shot of taking down $AAPL. Only if Windows OS UI weren’t a flaming pile of garbage compared to how clean Apple OS is. You would think a $3T company would know better UI design by now? https://t.co/OvysxCN21i

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.

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.

I actually think $FLNC should be a lot higher. The implications of having 2 incoming direct hyperscaler contracts in 1 quarter is enormous. $MSFT to $AMZN don't sign tiny deals. Obviously markets like to wait more until actual news/purchase order numbers come out... in the off-chance it doesn't go through or lower than expected. But a company doesn't just randomly announce 2 hyperscalers MSas and an expectation of the orders to hit Q3. Also winning multiple hyperscaler deals, in a single quarter is a leading indicator for more, especially as Fluence BESS becomes standardized. Given short interest is around 27.69%, I'm not sure if pre-earnings short sellers are very comfortable to take a risk... I think there's a chance for a generational run if a hyperscaler like $GOOGL signs a massive contract.

Agreed high-level directionally, $FLNC compelling at $3B valuation post-earnings after taking a closer look. Very rare to see a US energy player that small get 2 direct Hyperscaler deals... The $5.6B+ backlog derisks the company growth, not including new hyperscalers backlog like $GOOGL or $MSFT. The hyperscaler deals were framework agreements, which are likely to convert "soon" Q3 this year, and aren't included in numbers. Once that's released it's major positive catalyst, similar to qualification -> volume ramp in semi players. Citi Analyst: "The possibility of a hyperscaler order will likely overshadow everything else in the quarter. We expect a positive reaction to the announcement" I'm going to go ahead and guess they'll likely rerated once they announce their hyperscaler orders maybe anytime in the next 3 months so I jumped on the boat as a short term catalyst trade. (not just 1 but 2) Also, if they hit ~$288M net income off gross-margin expansion ($6B revenue, 13.0% gross margins) from their software segment expansion, ~11.6x fwd p/e for 2027. The current stock price is -50% Feb's prices despite hyperscalers + backlog de-risking the company looks like a great entry point to me (NFA).

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?

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.

$AAOI looks very undervalued at $6.49B. If we model ASP and their newest capacity projections today: Revenue from Capacity: Q2 2026: ~$312.1M Q4 2026: ~$1.41B Q2-2027: ~$1.53B Q4-2027: ~$1.97B This is absurd ramp (off ~34-40% est. gross margins). ASP modeled off (LightCounting, Dell'Oro Group & Yole, pricing for ELSFP modules is the most speculative). And some sell-side models (from firms like Raymond James, B. Riley, Northland Capital, and Goldman Sachs). Exact contract pricing for massive volume orders is not known, so this is speculative. But the Q2 volume * ASP estimates actually align with their $378M/month target Q2-2027. Again, you might be wondering? This is capacity, doesn't translate into revenue right? Hyperscalers from $AMZN to $MSFT are buying any capacity any of these companies from $LITE to $COHR can make, years out. This includes $AAOI from their former earnings call.

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.

$AAOI is up 24% and $LITE is 5% since my thesis today. From BOM analysis, LITE ($27B) is levered toward TPU Ironwood due to OCS but benefits from NVDA + all ASICs. AAOI ($2.5B), is levered toward MSFT MAIA ramp and Amazon Trainium. InP like HBM, will be a bottleneck for 2026 as they’re the foundational materials used for lasers in these deployments. Similar to memory bottlenecks with Micron and SK Hynix, we’ll likely see attention drawn to InP fabs, such as $AAOI, which happens to be one of the sole ones in America (COHR,Macom) But compared to $LITE that is up 362% YTD due to the success of Google’s TPU (from Meta and Anthropic purchase orders), $AAOI is only up 7% YTD. We’re largely seeing this because there’s a lack of retail or media attention on the $AMZN Trainium or $MSFT Maia deployments, which are largely expected to ramp up in 2026-2027. However they’re all likely to succeed due to each hyperscaler wanting to lower costs of inference for their own cloud platform. If we see other hyperscalers adopt OCS for optimized performance that the TPU achieved, expect $LITE to re-rate more than they have now given their monopoly in that specific segment. However, if we see $MSFT Maia ramp up (given $AAOI is likely developing a new architecture for them), and $AMZN Trainium ramp up ($4B warrant + purchase orders), expect $AAOI to rerate. Photonics and InP will be the new bottleneck like memory. We’ll likely see investments pour down stream to players like $COHR, Innolight, $LITE, and hidden levered plays on specific hyperscaler ASICs like $AAOI as a theme in 2026. The market is currently rewarding the Google TPU supply chain but might be missing other hyperscaler ASIC ramps.

The $LITE thesis: The hidden monopoly in the AI. Lumentum is up 316% YTD, but might be 1000%+ by 2027. Micron ($300B) or TSM ($1.5T) sit in the center of every TPU/GPU deployed. But same with $LITE, but it's a $26B MC. In Every, Single, TPU from Google, $LITE makes unbelievable amounts of profit for their marketcap. That's because it's the standard for Optical Circuit Switching (OCS) + optical networking. It's also in - $NVDA Blackwell -$AMZN Trainium - and other hyperscaler ASICs. Lumentum sits in the holy trinity of every single chip deployment for photonics. And for every TPU capex spent, $LITE takes 8-12%. For every Nvidia GPU, $LITE takes ~2-3% (split between Innolight and some others, so the math gets a bit complex). But some napkin math on NVDA GPU deployments alone for BOM: NVIDIA Blackwell (GB200): HBM memory: ~50–55% (SK Hynix (Lead), Micron, Samsung) Logic (GPU Die): ~25-30% ( $TSM 4NP) CoWoS Packaging: ~13-18% $TSM Optics/Network: ~3–5% (Innolight, Lumentum, Coherent) PCB/Power: 5% For Google TPIU "Ironwood" TPU v7: HBM Memory: 38-42% Samsung / SK Hynix Logic Die: TSM ~28-33% Design/I.O: 8-10% MediaTek Optical Network: 10-14% ( $LITE (primary), $COHR secondary) Optical Switch: 2-4% $LITE $LITE est. total cluster share: ~8–12% Just an FYI, Google's "Optical" BOM share (8–12%) is an anomaly due to their unique Optical Circuit Switch (OCS) monopoly. Just for some napkin math: $40B Google TPU spend by 2027. $LITE captures 10% (30-40% margins), $1.5B+ FCF from Google alone, 17x earnings from just their primary customer. (analysts are probably extremely off with projecting TPU spend scaling). Not even including their split from $AMZN Trainium, $NVDA Blackwell, $MSFT Maia, and other chip deployments. $LITE is in the center of every single TPU/GPU future chip deployment for now and takes a cut. The only downside is they're the clear market leader now, but $AVGO and $COHR are likely set up to compete by 2027-2028. However... People say "$26B, ATH, why are you buying now". This is the reason. They're involved in every future single TPU/GPU/ASIC deployed. $LITE could end up easily over $60B+ if Google TPUs, and other chip spend ramps up and LITE takes a 2-3% (from $NVDA, $AMZN, $MSFT) or 8-12% cut (from $GOOGL) for every single dollar spent.