ilster

I'm 61 years old and resigned from Palantir. My annual income is 8 million US dollars. My March advice: $KOS (Kosmos Energy) — Strong Buy $BW (Babcock & Wilcox Enterprises) — Buy $FSLY (Fastly Inc.) — Strong Buy $MU (Micron Technology) — Strong Buy $LITE (Lumentum Holdings Inc.) — Buy $ONDS (Ondas Holdings Inc.) — Strong Buy $CRDO (Credo Technology Group) — Buy $WDC (Western Digital) — Strong Buy $AXTI (AXT Inc) — Buy $UCTT (Ultra Clean Holdings) — Strong Buy Show more

I'm long $TSEM, the $TSM of photonics. My top two picks for CPO are $SOI and Tower Semi. Given the $NVDA GTC catalyst on new photonic related architecture next week: I expect Tower Semi to get a huge catalyst. Nvidia laready directly collaborated with Tower to scale 1.6T silicon photonics last month (hint hint for GTC), likely pushing the downstream players to use it. And now, Tower is the leading supplier of 1.6T SiPh PICs and the primary foundry for scale-up CPO architectures. (the other being global foundries) From my forward est: 2028 Forward P/E: ~16.8x to ~18.1x (Tower set a target $2.84B revenue by 2028, with ~31.7% operating margin, ~$750M in net profit) The thing to note is over 70% of their planned SiPh capacity is already reserved through 2028. And photonics haven't even ramped up yet. So, I expect them to strongly beat earning projections due to extreme photonics scaling + allocations price hikes that's not modeled into projections. Also, $TSEM is heavily de-risked by 70% of capacity already being reserved. MC is likely due to $TSEM being a very obscure upstream player in the photonics supply chain. But I expect the $NVDA GTC conference to be that catalyst that brings it to premium valuations. I'm long $TSEM as an asymmetrical upside for upstream photonics foundry layer.

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.

The world bank of natural killer cells is close. Data from production of billions of NK cells and successful cryopreservation from pver 60 healthy volunteers and cancer patients coming soon. The Leonardo AI driven robot will transform the availability of NK cells globally.

Natural Gas: The Real Fuel Behind Data Centers Let's discuss why $EQT plays a crucial role in Natural gas Ticker: $EQT Current Price: $60 Market cap: $38 Billion 1/ Why natural gas? Why EQT? What’s their moat? Energy is one of the biggest bottlenecks for AI over the next decade. Natural gas demand for data-center power has risen from 35% in 2020 to 40% in 2025 and is projected to reach 45% by 2030 as AI workloads accelerate. Natural gas is the only energy source that can scale fast enough, cheaply enough, and reliably enough to meet AI-driven power requirements. AI data centers need uninterrupted baseload power not intermittent generation and natural gas provides high efficiency and grid stability at scale. EQT is the largest natural-gas producer in the U.S., accounting for roughly 6% of total national output. If EQT were a country, it would be the 12th-largest gas producer in the world - a scale unmatched by any pure-play competitor. This combination of scale, low-cost production, and strategic repositioning creates one of the strongest moats in the natural-gas sector. 2/ Fundamentals EQT fundamentals have completely transformed even if the stock hasn’t. In 2014 EQT was a $60 stock. Today 11 years later - EQT is still a $60 stock. But the business underneath is nothing like it was: - Revenue in 2014: $2.48B - Revenue LTM: $7.8B → 3× growth - Free cash flow flipped from negative to solidly positive after the 2020–2022 downturn - Net income stabilized and is trending higher - Balance sheet is far stronger than pre-2021 due to better pricing, hedging, and cost controls The stock stayed flat. The fundamentals didn’t. This is exactly the type of setup where the re-rating shows up after the business transformation is already done. 3/ Technicals: - Forming a monster base on monthly chart - Technically very very Strong names and trading above all long term trend KMA's and IPO AVWAP - about to do a flat base breakout of 11 years on consolidation - Daily, weekly and Monthly charts are saying we are heading higher 4/ Funds Position: - Institutional ownership has surged from 280M shares in 2020 to 700M+ shares today, showing heavy accumulation from major funds as the AI-energy thesis strengthens. - Top holders like BlackRock, State Street, Geode, Lone Pine, and Citadel have added aggressively in recent quarters, with increases ranging from +10% to +180% - clear conviction in EQT’s long-term setup. 5/ My Take: I do think energy becomes the biggest bottleneck for AI over the next decade and we’re still extremely early in building the power infrastructure these data centers will demand. GPUs scale fast. Power grids don’t. That gap has to be filled by something reliable, cheap, and instantly deployable. If you want exposure to natural-gas-driven AI power, EQT is the purest and most dominant way to play it. They control the largest low-cost gas supply in the country, they’re signing direct deals with power operators, and institutions are loading up aggressively. The market hasn’t priced in the role natural gas will play in fueling AI but it will. AI Doesn’t Run on Hype - It Runs on Natural Gas Enjoy!

Caleb Hammer reveals his biggest money mistake was buying rental properties instead of investing in the market “I made decent money, but I would have made so much more money by just being in the market instead of focusing on that. My rental properties back in my home state, I am fully exiting them and just putting the money in the market.”