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InvestmentGuru
Long-term investor focused on disruptive innovation | AI • Space • Robotics • Biotech | Seeking asymmetric opportunities through patience & compounding. I share knowledge and research, not financial advice. All trading decisions are yours. Buying and selling involve risk. DYOR. 🇨🇦
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The Electromagnetic Battlefield: Where Defense-Tech Money Is Actually Flowing
There is a quieter arms race happening beneath the headlines around drones, missiles and missile defense. It is the fight for control of the electromagnetic spectrum.
$GOOG nice bounce so far $339
Good morning!
Market is rising as oil and $VIX cool down ahead of today’s CPI release. We need a good inflation number for this rally to continue — otherwise, we could see a big pullback.
Let’s watch the numbers. If the market reacts positively, many setups could pay nicely.
$GOOG — $333.78 reclaim needed for a move toward $340–345. Rejection could bring another pullback.
$INTC — $106–107 resistance. Needs to break for the next move; until then, likely consolidation.
$AAPL — looking strong. Watching $330 today, with $337–340 as the next target.
$ORCL — $164–167 breakout could lead to a big day, especially with high short interest.
$TSLA — $358–362 acting as support; $368–372 resistance.
$AMZN — consolidating around $250 and now bouncing. Reclaim $255 and $260 could be next.
$NVDA — $217.55 support / $224.41 resistance.
$APP — reclaim $319–320 and it could run toward $330–331.
Will update if I take any trades. Expecting a busy morning, so let’s see how the market reacts to CPI.
ROBOTICS: THE NEXT BOTTLENECK
Why the $5 Trillion Physical Economy Has a Chokepoint Problem The robotics revolution has reached an important inflection point.
Market risk is rising.
Key dip-buy levels and range supports are breaking as bond yields and oil surge, fueling inflation fears. Fed hike odds are climbing after hotter PPI. Tomorrow’s CPI at 8:30 AM ET could be the next major catalyst. If the market can’t bounce, correction risk increases. Protect capital and stay selective.
best practice in this situation is keep cash , or increased cash by either taking losses to non performing assets or trimming the big winners.
My cash position is now 8% from 3% , I might increase to $10-12 % because when $VIX goes to $20/25/30 I need cash to deploy because it is easy money in the market
⚠️ Risk-off setup:
🔺 Higher bond yields
🔺 Higher $VIX
🔺 Higher oil prices
🔺 Hotter PPI to the mix,
and the market is facing pressure from all sides.
Protect capital. Take profits when you can.
Optical Comms Just Got Repriced — Here's the Real Reason
3 Narrative Shifts Turning Optical Comms Into an AI Infrastructure Play — And What the 13Fs Confirm
The Energization Gap
The Energization Gap: Why 15GW of AI Compute Will Sit Dark in 2027
10 NAMES ON MY RADAR RIGHT NOW
$CRDO — down post-earnings despite a clean beat. $479M revenue, $1.20 EPS, with margin/cost concerns driving the selloff. Optical revenue tracking toward $600M+ in FY27.
$MRVL — Q2 revenue $2.74B that is +37% YoY , FY28 guide raised 10% to $18B. Stock dropped on Google partnership-delay fears. Custom AI silicon thesis remains intact. Buy-the-panic setup if execution holds.
$AAOI — Revenue +86% YoY with FY26 guidance reaffirmed at $1.1B. 800G/1.6T demand is outpacing capacity. The $600M dilutive raise crushed shares , but AI optics demand remains strong.
$AXTI — Record Q2 revenue of $47.6M, driven by InP substrate demand. A small-cap AI materials/picks-and-shovels play. Extremely volatile — size accordingly.
$AVGO — Custom AI silicon + networking remains a powerful combination. Yet the stock has lagged peers, up only 6% YTD. Potentially one of the more attractive mega-cap AI compounders if growth continues.
$APP — down despite Q2 revenue +53% YoY to $1.92B and E
AI’S NEXT BOTTLENECK MAY NOT BE CHIPS.
IT MAY BE POWER.
Think about what is happening:
- Bigger AI models
- More inference
- More data centers
- More GPUs
- More networking
- More cooling
- More electricity
The AI race is rapidly turning into an energy + infrastructure race.
$NVDA can build the world’s fastest GPUs.
But those GPUs still need:
- Electricity
- Data centers
- Cooling
- Grid capacity
- Fiber + optical networking
That’s why I’m watching the entire AI infrastructure stack — not just the obvious AI names.
Semis → Memory → Photonics → NeoCloud → Power → Nuclear → Grid
AI doesn’t stop at the server rack.
It reaches all the way to the substation.
That’s the opportunity most investors are still underestimating.
DYOR.