$SLNH earnings come out pretty soon. This should play out pretty similar to $ASTS the past couple of days... The market has largely priced in another EPS miss (has historically missed). Like most early stage AI infrastructure names, EPS isn't what matters right now. What actually matters, just like $ASTS, is the operational guidance. I've gone over the fundamentals on other posts, won't elaborate this time. Possible scenarios: Strong operational guidance + hit earnings = immediate rally. Could very likely see it soar towards $4-5+ imminently. Strong guidance + EPS miss = short-lived volatility, then instant recovery. We've seen this play out with $ASTS. The entire earnings pullback was eaten up within 2 days. Operational delays + EPS miss = brutal (unlikely scenario with all the macro tailwinds). Analyst target sits at $5 (~220% upside). This'll get very interesting...

So this pretty much went exactly as expected... > US/China summit. Trump and Xi met in Beijing. Both sides agreed to "constructive strategic stability." Iran on the agenda. Markets are loving it. > Kevin Warsh confirmed as Fed chair. His first FOMC meeting is June 16-17. Markets pricing in rate cuts IMO. > $CBRS IPO'd today. Priced at $185, opened at $350, peaked at $386, closed up 68% at $311.07. Valuation now ~$95B. Don't expect this to cool down anytime soon. > $AAPL & $INTC chip deal still digesting. Both are up massively over the past few days. Additional details still trickling out. > $ASTS missed earnings... hard. But operational guidance was strong. As expected, the pullback was extremely short-lived. Space sector should get pretty active here with SpaceX IPO and the demand for space computing. Macro is stabilizing, micro positioning is paying off. Supercycle keeps validating itself... In other words, let's keep printing! 🫡

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From negative to flat... not bad after a 21% run on $SLNH yesterday. It's healthy to let the stock breathe. Whether you believe in chart patterns or not, you can't tell me we're not seeing higher highs and higher lows here.

Quick recap on some of our recent setups, in different layers of the same supercycle. Nailed the $SNDK rally, alongside $MRAM as a proxy which ran from ~$13 to ~$51 at peak. Nailed the $AMD thesis shortly after, before the next leg up. $SNDK earnings (datacenter revenue +233% YoY) reaffirmed our AI infrastructure & data center thesis. We already knew where to position our capital. Leading into Neocloud... with $CBRS IPO and $DGXX's recent deal with them, it was an easy proxy - rallied from ~$4 to ~$9 before the classic "sell-the-news" volatility. I expect it to be very short-lived. With $SNDK, $AMD, and $CBRS reaffirming the supercycle, power has become one of the most overlooked layers (all these chips run inside data centers, all those data centers need massive amounts of power). $TLN and $CEG dominate the sector. Now the most asymmetric name in the same chain? In comes... $SLNH. Renewable power. Fundamental and asymmetric thesis has been explained in a separate post. Called it at ~$1 (currently still playing out and early IMO). It's the same process over and over again. Find the bottleneck, find the asymmetric setup, position before the market catches up. All of this was posted in real-time, using fundamental explanations and technicals for solid entries. Every single name has paid off heavily. Don't miss the next run.

Yesterday $SLNH flipped from -4% to +21%. We’ve been blessed with another red opening across the sector. Might not be a bad opportunity to catch some discounts. You can thank me later. 🍀

T minus ~30 minutes until $CBRS goes live at $185/share on Nasdaq. Quick recap on how things progressed: > $115-$125 range filed May 4 > Bumped to $150-$160 on May 11 > Priced at $185 the night of May 13 > Trading at nearly 2x on Perps $56B+ valuation. $5.55B raised. Officially one of the largest US IPOs ever and the biggest tech IPO of the year. > $25B+ backlog vs $56B valuation - still a strong backlog to MC ratio for an AI infrastructure company at IPO > $510M 2025 revenue with 47% net margin (76% YoY growth) > OpenAI 750MW multi-year deal, $AMZN AWS deal already signed, $META as a customer > 20x oversubscribed at the original range, IPO priced well above the revised range > Customer concentration risk (G42 was 24% of revenue last year) When the largest AI hardware IPO of the year prices 48% above its original range with $5.55B raised… the market is telling us where we should stack our investments. Validates the entire AI infrastructure thesis. Validates the “alternative to $NVDA” thesis. Most importantly, this reaffirms institutional capital is still flooding into this supercycle at scale. And no, you don't need to invest in $CBRS directly... We've pointed out many proxy plays. And every single asymmetric opportunity we've highlighted recently will benefit from capital & demand flowing into the ecosystem.

I'll make this super clear for people wondering if $DGXX or $SLNH is more asymmetric: They serve two completely different purposes, in different layers of the same supercycle. Both genuinely asymmetric in their own way. Both sit in the Neocloud ecosystem. $DGXX as a GPU-as-a-Service operator and $SLNH as the renewable powered data center beneath it. Different theses, different risks, same tailwind. $DGXX (~$600M MC) - GPU-as-a-Service operator deploying $NVDA Blackwell GPUs directly to customers. Initially shared at ~$4 (up 105%+ now). > Similar model as $CRWV (~$60B MC), $NBIS (~$45B), $IREN (~$20B). First AI revenue contract signed. $1.1B $CBRS colocation deal. Hans Vestberg / $BLK connection. > 1.9% institutional ownership leaves massive room for re-rating. Earnings tomorrow, GPU rental starts on Friday. Risks: Early stage, $750M shelf filed (dilution capacity), negative margins, execution heavy. $SLNH (~$250M MC) - Renewable powered AI data centers. Wind farm acquisition closes vertical integration loop. Initially shared at ~$1 (up 65% so far). > Same renewable power thesis as $TLN (~$17B), $CEG (~$106B), $VST (~$50B). 4.3GW development pipeline. Difference between them is instead of wind farm → grid → data center, $SLNH does wind farm → data center. > Dorothy campus operational and expanding. Nasdaq compliance just regained. Earnings May 19. Risks: Overhang from active dilution. Cash burning. Execution risk on Dorothy 3 (300MW+ campus). Both are very early stage at this point. Both have execution risk. But both have real catalysts incoming. As for dilution, that's a risk with any early stage company. Again, bears were saying the same thing about $PLTR at ~$15. Now the same bears would full-port if it ever dips to $100. Valuation gap between current MC and what their competitors are trading at is what makes both asymmetric in their own layers.

One could say $AMD is one side of the barbell, as the de-risked and established setup that has high probability of working out. Extremely low risk. Now the other side of the barbell... $SLNH at ~$260M MC in the renewable AI power layer. Same ecosystem, completely different risk profile. Very early stage, much higher volatility... but the math works the same way. Increasing demand of $AMD chips → data centers → data centers need power → $TLN and $CEG dominate the AI data center power market at the moment. Going down the same chain... $SLNH provides renewable power + compute infrastructure. If $SLNH executes at a much earlier stage toward what $TLN (~$17B) or $CEG (~$106B) looks like, the asymmetry is significant. One end gives you probability. The other end gives you size of outcome. Both ride the same supercycle. (Disclosure: I have positions in both $AMD and $SLNH)

30 stocks I like and why! In 5 words or less... $AMD MI400 ramp is real $AXTI InP substrate chokepoint $BTC halving cycle still intact $CIFR AWS deal validates moat $DGXX Cerebras $2.5B anchor tenant $DRAM memory squeeze basket $GLD central banks keep buying $GOOGL TPU finally getting respect $IREN HPC pivot is working $KEEL defense small cap dark horse $MU HBM is the real bottleneck $NBIS cheapest neocloud per MW $NOW agentic AI revenue layer $NVDA still the king $NVTS GaN powering AI racks $OUST lidar eyes for robotics $PENG AI factory builder moat $PL NVIDIA named launch partner $QQQ new highs every month $RKLB space launch monopoly $SATL pixels become intelligence $SIDU satellite-as-a-service torque $SIVE silicon photonics speculation $SLNH behind the meter beast $SNDK NAND coming back hot $SPIR geospatial data goldmine $TSEM analog quietly compounding $UFO the entire space basket $WULF AI pivot off mining $WYFI IMO $CRWV at a fraction I added some SLNH this morning and will hold until earnings... NFA. A lot of these look great inside our indicator suite but that could change anytime... so keep paying attention if sitting on a lot of gains. Will keep updating!

$AMD is ~30% of my long-term swing account, and I'll explain why. The valuation gap between $NVDA and $AMD is way too appealing. Roughly 7.5x apart... Both produce hardware that accelerates computing, $NVDA has established a massive lead in software-driven AI ecosystems. $AMD focuses on offering superior price-to-performance value, open-source alternatives, and a combination of CPU/GPU capabilities. > $AMD just crushed Q1. $10.25B revenue (+38% YoY), $1.37 EPS, datacenter +57% YoY. > MI350 is shipping. MI400 Helios rack ships H2 2026 with 20 PFLOPS FP8, 432GB HBM4 per GPU. Direct competition with $NVDA's Vera Rubin. > $AMZN AWS just signed as an MI350 customer - the first major hyperscaler win that $AMD has been waiting on. AWS doesn't pick second sources for fun. > OpenAI (6GW commitment), $META (6GW), $ORCL, $MSFT. Customer concentration is expanding and diversifying. Being the "second source" is the only reason this valuation gap exists. As MI400 ships and AWS volumes ramp, that gap starts to fill.

I'll make this super clear for people wondering if $DGXX or $SLNH is more asymmetric: They serve two completely different purposes, in different layers of the same supercycle. Both genuinely asymmetric in their own way. Both sit in the Neocloud ecosystem. $DGXX as a GPU-as-a-Service operator and $SLNH as the renewable powered data center beneath it. Different theses, different risks, same tailwind. $DGXX (~$600M MC) - GPU-as-a-Service operator deploying $NVDA Blackwell GPUs directly to customers. Initially shared at ~$4 (up 105%+ now). > Similar model as $CRWV (~$60B MC), $NBIS (~$45B), $IREN (~$20B). First AI revenue contract signed. $1.1B $CBRS colocation deal. Hans Vestberg / $BLK connection. > 1.9% institutional ownership leaves massive room for re-rating. Earnings tomorrow, GPU rental starts on Friday. Risks: Early stage, $750M shelf filed (dilution capacity), negative margins, execution heavy. $SLNH (~$250M MC) - Renewable powered AI data centers. Wind farm acquisition closes vertical integration loop. Initially shared at ~$1 (up 65% so far). > Same renewable power thesis as $TLN (~$17B), $CEG (~$106B), $VST (~$50B). 4.3GW development pipeline. Difference between them is instead of wind farm → grid → data center, $SLNH does wind farm → data center. > Dorothy campus operational and expanding. Nasdaq compliance just regained. Earnings May 19. Risks: Overhang from active dilution. Cash burning. Execution risk on Dorothy 3 (300MW+ campus). Both are very early stage at this point. Both have execution risk. But both have real catalysts incoming. As for dilution, that's a risk with any early stage company. Again, bears were saying the same thing about $PLTR at ~$15. Now the same bears would full-port if it ever dips to $100. Valuation gap between current MC and what their competitors are trading at is what makes both asymmetric in their own layers.

Funny how people question if I called these tickers early, when they should be focused on what I’m calling… When $DGXX is $10+, just remember it was given to you at $4-5. And when $SLNH is $5+, just remember it was given to you at ~$1. Just added more shares as well.

Mind you, I gave every fundamental and technical reason to support $DGXX and join me for the ride. Posted updates the entire way. And yet some people still didn’t follow. Whatever you do, don’t miss out on the next trade… many more incoming.

Simplifying the memory trade... 🫡 The fastest AI chips in the world are useless if you can't feed them data fast enough, and there are several different types of memory doing that work. Each one is a different business with different economics and different winners. The squeeze starts at the top. Near memory is HBM, the high bandwidth stuff sitting right next to the GPU doing 1-20 terabytes per second. This is the actual bottleneck on every $NVDA system shipping today and $MU is the cleanest American pure play on it. Sk Hynix and Samsung control most of the market globally, but if you trade US listed names, Micron is the trade. Then comes main memory, which is the DDR5 doing long context inference at 100-500 GB per second. Micron again. Same playbook. Expansion memory is where it gets interesting and where most retail isn't paying attention. This is the CXL layer that lets servers pool memory across the rack, and it's a real growth market right now. $MRVL and $MCHP build the controllers that make it work, and $ALAB is the one that nobody had on their radar a year ago and now everyone wishes they did. $RMBS sits in the IP layer collecting royalties. Context memory is the SSD and NAND layer doing session memory at 20-200 GB per second. Micron plays here too... $WDC and $SNDK are the public American pure plays, and this is the layer that benefits most from agentic AI specifically because agents need persistent session memory at scale. And at the bottom you have the data lakes, which is petabyte scale storage for RAG, documents, and training files. $DELL, $NTAP, $HPE, and $IBM are the names selling the actual infrastructure here, with Western Digital underneath them on the drives. I also shared an important position update with indicator suite users today too. Now zoom out... like I noted the other day, Jensen said agentic AI needs 1000X more compute. You can't 1000X the compute and leave the memory stack alone... I think all dips are for buying.

Starlink V3 is being built with orbital data center capabilities (SpaceX is validating the entire space computing thesis). Expanding on why each company from my earlier post matters... $PL - Their 200+ satellite constellation already generates terabytes of Earth observation data daily - most of which currently has to be downlinked for processing. Processing it in orbit instead of on Earth changes everything. > Again, they're literally the only confirmed public partners in both $NVDA's space computing initiative AND $GOOGL's Project Suncatcher. $ASTS - Their phased array satellites are essentially compute nodes in space with massive antennas. Each new BlueBird carries onboard processing capability that doubles as a potential platform for hosted AI workloads beyond just cellular service. > IMO this’ll be an extremely short-lived pullback from earnings. Should be eaten up quickly. $RKLB (closest public proxy to SpaceX) - Every gram of compute hardware in orbit needs a rocket to get there. As space computing scales from a few satellites to thousands, launch becomes the binding constraint. > Their vertically integrated launch + spacecraft model captures both ends of the build-out. $RDW / $BKSY fits great into the thesis as well. I’ll make a separate post with all the asymmetric smaller cap opportunities. In short, $NVDA told us the importance of space computing. SpaceX is proving it. Plenty of macro uncertainties causing turbulence at the moment, but there are many reasons why this could be the very start of the next wave up...

Mind you, I gave every fundamental and technical reason to support $DGXX and join me for the ride. Posted updates the entire way. And yet some people still didn’t follow. Whatever you do, don’t miss out on the next trade… many more incoming.