$MRVL
Highly recommend everyone read up on this... AKA tell your favorite LLM explain it to you in plain english.
If $MU SK Hynix and Samsung wants to keep playing this extortion price game...
Marvell has what all the hyperscalers are looking for to address costs.
https://t.co/vKBOGlBZkt
I'm not sure who needs to hear this but, $mu is the next $nvda.
Insane blowout earnings with 85% gross margin and 80% operating profit. Five year contracts. Where are the skeptics oh no, demand is only up to 2029 😂
Micron results: I think the biggest take away for me is really simple: Micron made more profit this quarter than NVDA made almost exactly 1 year ago. And next quarter’s guidance is way more than what NVDA made in Q3 of 2025. NVDA did about $35 billion in revenue and $20 billion in profit in q3 2025. Micron will do $50 billion in revenue and $35 billion in profit next quarter. Does everyone see this? Does everyone understand this? NVDAs market cap at the time was $4 trillion. Micron’s current market cap is $1 trillion dollars. Micron is growing faster than NVDA did last year in actual dollars and percentages and it trades at 1/4 the valuation. Math is math. Liars figure, but figures never lie.
Whenever I post about Google Finance, I get two top questions: (1) when are portfolios coming? (2) can we get an app?
I’m excited to share we’ve added portfolios (can even import from other finance tools with just a screenshot 🤯) and we’re shipping a new Android app today!
$GEV NATURAL GAS TURBINES ARE SOLD OUT TILL 2029 👀
“All of the hyperscalers are using natural gas to power their AI data centers”
By 2030 it’s projected that one-third of AI data centers will be powered by onsite generation
Claude just became a craacked video game designer.
With the launch of Unreal Engine's MCP server last week, you can now build entire video games just by talking to Claude.
I spent the past few days building with it, and I'm telling you, this is going to forever change how video games get made and who gets to make them.
In this video I show you exactly how to set up the Unreal Engine MCP yourself and run through three demos: building a full playable city, cloning a real city from Google Earth, and creating custom buildings in Blender.
Here's the agent harness I mention too: https://t.co/mos9EwnZ2h
Intro
What I built in a few hours
Setting up the Unreal MCP server
Fixing the port 8000 connection issue
The agent harness that avoids the pitfalls
Demo 1: Building a city with City Sample
Demo 2: Cloning a real city from Google Earth with Cesium
Demo 3: Custom buildings with Blender headless
Outro
Bought $PLTR $AMZN $AVGO $SHOP
$PLTR — $119.50
$AMZN — $234.68
$AVGO — $394.60
$SHOP — $107.79
$AVGO is the only new position as it’s taken a nice tumble after earnings on a lack of guidance raise, would ideally like $330 or below to establish a larger position.
The rest are all names that I feel are cheap but the market would like to have them cheaper 🤷♂️
🚨JAPANESE AI STARTUP JUST MATCHED CLAUDE FABLE 5 AND MYTHOS PERFORMANCE.
Japanese AI lab just launched Fugu, a model trained to command other models.
Sakana AI, a Tokyo-based AI startup, was co-founded by researchers including one of the authors of the original Transformer paper, the blueprint that basically every AI model today is built on.
Sakana Fugu is a multi-agent AI system that feels like a single model, automatically orchestrating specialized models behind one API endpoint.
Fugu Ultra is claimed to match Anthropic's Fable 5 & Mythos Preview on the hardest engineering/science/reasoning benchmarks — and to beat Gemini 3.1 Pro, Opus 4.8 & GPT-5.5 on tasks like AutoResearch, mechanical design & financial forecasting.
Everyone's racing to scale ONE giant model but Fugu flips it: an LLM that orchestrates a pool of the world's best models (choosing who does what, delegating, verifying and merging it into one answer), even calling itself recursively.
Think of it as a conductor. You send one request to one API, and Fugu figures out the move: answer it solo, or assemble a squad of expert models and run the whole thing for you.
Sakana AI launched two models:
Fugu - fast, low-latency, everyday coding/chat
Fugu Ultra - max quality on hard, multi-step problems (AI research, paper reproduction, cybersecurity, patent search)
Export controls are hitting frontier models now, but because Fugu's agent pool is swappable, if a provider restricts access, it routes around it.
Both Fugu and Fugu Ultra can be accessed through a unified API, with subscription plans for everyday users and pay-as-you-go pricing designed for high-volume and enterprise workloads.
$SIMO for NAND exposure is another trade idea that I took positions in today.
SIMO operates effectively as a duopoly (alongside Phison) for merchant controllers and supplies basically:
- Samsung
- SK Hynix
- $MU
- $WDC
- Kioxia
- YMTC, and others.
- Revenue: Q4 2025 reached $278.5 million (+46% yoy and +15% qoq).
- Gross Margins: ~49.2%
- Net Income: ~$47.7 million (up 107% YoY).
- Net Cash: $277.1 million, no debt.
But, management announced 2026 will be the highest revenue year in the company’s history.
They guided Q1 2026 revenue to between $292m-$306m, which is +76%-84% YoY growth rate for the quarter.
They also started shipments to a "Leading AI GPU maker" likely $NVDA for enterprise boot drives, which is TAM expansion.
Memory makers basically outsourcing parts of the SSD controller spaces (eg. mobile/consumer) as they shift to HBM so now quite a bit is sourced exclusively from Silicon Motion.
So you have a profitable, debt-free company with ~50% gross margins profiting off of NAND volume demand, while expanding its TAM into high-margin Nvidia and AI enterprise storage pipelines.
While it doesn't exactly profit from all the NAND hikes (but can do price hikes of its own), it feels like a pretty asymmetrical tailwind/backdoor plays for memory.
At a $4.56B MC and under 20x forward earnings (assuming, $1.2B rev/$6.5 EPS), it's a little later to the game. But upside seems compelling given TAM expansion and the memory supercycle.
Kinda wild that a Chinese frontier lab was my best performer this year.
Still kicking myself for not sizing heavier when Minimax was trading at a higher market cap than Zhipu.
For years, AI infrastructure has been the leading theme.
And there is no reason to think that has changed.
It has only accelerated.
Chips: $NVDA $AVGO $AMD $ASML $ARM $KLAC
Foundry: $TSM $INTC
Memory: $SNDK $MU $WDC $STX
Networking: $CRDO $ALAB $ANET $MRVL
Photonics: $AAOI $SIVE $AXTI $LITE $COHR $GLW
Servers: $VRT $DELL $HPE
Energy: $BE $TLN $GEV $TE
Data: $INOD $SNOW $DDOG
Neoclouds: $NBIS $CRWV $APLD $IREN $WYFI $BRUN
I have made over a MILLION in the last 2 MONTHS
My SECRET is having a watchlist for each sector to catch rotations EARLY
HERE IS THE SECTOR ROTATION WATCHLIST:
Memory: $MU $SNDK $WDC $STX
Semis: $NVDA $AMD $ARM $INTC
Networking: $AVGO $MRVL $CRDO
Photonics: $AAOI $LITE $COHR $NVTS $GLW
Infrastructure: $DELL $SMCI
Data Centers: $IREN $CIFR $APLD $NBIS
Software: $MSFT $NOW $SNOW
Defense: $PLTR $KTOS $AVAV
Drones: $ONDS $DPRO $UMAC
Robotics: $OUST $SYM $TSLA
Space: $ASTS $RKLB $RDW $LUNR
Quantum: $IONQ $QBTS $RGTI
Nuclear: $OKLO
Fintech: $HOOD $SOFI $AFRM
Copper: $FCX $SCCO $TECK
Autonomous: $JOBY $ACHR