When $SPY crashes 10%-20% this summer, everything will be on sale.
Add these 16 stocks for the reversal of a lifetime:
1. $NOW — AI automates every enterprise workflow at scale
Buy zone: $85–$100 | Near 52-week lows, massive AI re-rating
2. $BE — Fuel cells powering AI data centers off the grid
Buy zone: $200–$220 | $ORCL deal de-risks demand story
3. $ASTS — Satellite broadband direct to your phone, globally
Buy zone: $65–$70 | Post-earnings flush, thesis intact
4. $GOOG — Gemini + TPUs + Search = AI moat unmatched
Buy zone: $300–$320 | Key support, 52-week low area
5. $LITE — Optical switches are the nervous system of AI
Buy zone: $600–$700 | Pulled back from $1,000+, still growing 85% YoY
6. $MU — HBM memory is the oxygen inside every AI server
Buy zone: $700–$750 | Key support after Broadcom-induced selloff
7. $SNDK — NAND flash storage exploding on AI inference demand
Buy zone: $1,100–$1,200 | Bull flag on the weekly chart
8. $TE — Data center power infrastructure, critical AI backbone
Buy zone: $6–$7 | Oversold, government energy tailwinds building
9. $RKLB — Launch provider + space systems for AI-connected satellites
Buy zone: $80–$90 | Pulled back hard, $816M SDA contract intact
10. $AAOI — 800G transceivers shipping to hyperscalers at scale
Buy zone: $120–$130 | Volatile beta, best entry on deep dips
11. $NVDA — Designs the GPUs that run every AI model on earth
Buy zone: $165–$175 | 52-week support zone, Jensen demand still intact
12. $ONDS — Drones + autonomous rail powering AI-enabled defense
Buy zone: $7–$8 | Near prior base breakout level
13. $IONQ — Trapped-ion quantum computers for post-classical AI computing
Buy zone: $27–$40 | 52-week range low, government funding tailwind
14. $AMD — EPYC + MI300X chipping away at NVDA's AI market share
Buy zone: $350–$360 | Key technical support from prior consolidation
15. $ARM — Architecture inside every AI chip ever designed
Buy zone: $220–$240 | Pulled back from highs, royalty model scales forever
16. $ORCL — Cloud infra + AI database layer for the enterprise
Buy zone: $130–$140 | Near 52-week lows pre-earnings catalyst
Remember, when $SPY sells off, you should the strong companies and hold for a massive move back towards $820+ by year end.
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10 stocks to watch during Computex 2026. These are key data centre related stocks :
$MU — HBM4 36GB delivering 2.6x inference throughput; memory bull case just got louder. 
$MRVL — Jensen called Marvell the next trillion-dollar company; CPO chips confirmed future.
$VRT — Rack power hitting 180kW; Vertiv’s power and thermal management demand accelerating fast. 
$LITE — Named as relevant across optical modules and fiber alongside Coherent; CPO wave rising. 
$ARM — RTX Spark is Windows on Arm; Nvidia just validated Arm’s PC architecture ambitions hard. 
$AAOI — Makes optical networking components (lasers, transceivers) for data centers and telecom.
$AOSL — Designs power semiconductors (MOSFETs, gate drivers) for consumer electronics and EVs.
$POWI — Makes energy-efficient power conversion ICs for appliances, IoT, and industrial use.
$GLW — NVIDIA partnership locks Corning into AI factory fiber supply; 10x US manufacturing capacity. 
$ANET — Capturing majority of 800G and 1.6T switch upgrades as AI clusters shift to open Ethernet-over-Fiber. 
$ON — No direct Computex presence found. ON Semi is a Computex spectator, not a headliner.
My highest-conviction picks right now:
Satellite & Space: $ASTS, $RKLB, $OPTX
AI Infrastructure: $NBIS, $PENG, $HLIT
Defense: $EOS.AX, $KRKNF, $OPTX
Humanoid Robotics: $AMBA, $OUST, $VPG
Memory & Semiconductors: $MU, $SNDK, $MX
Quantum Computing: $INFQ, $LAES, $IONQ
Data Center Power: $CEG, $BE, $FCEL
Fintech: $HOOD, $SOFI, $COIN
Optical Networking: $ADTN, $HLIT, $LITE
Different sectors, same thesis: real businesses, clear growth catalysts, and valuations that the market still hasn't fully priced in.
These are the names I'm positioned in for the next several years.
THREE LAYERS BENEFITING FROM AI COMPUTE REPRICING
Compute pricing is starting to reset higher with long-term contracts being locked in at premium prices, spot markets are firming & the AI infrastructure trade is splitting into three layers:
1. Hyperscalers | $GOOGL, $MSFT, $AMZN, $META, $ORCL, $BABA
These are still the largest buyers & builders of AI compute locking in multi-year capacity because spot availability is increasingly scarce. Microsoft’s $627B commercial RPO (+99% YoY), Oracle’s $553B+ RPO tied to OpenAI compute commitments, Google Cloud’s $460B backlog doubling YoY & Amazon’s $225B+ Trainium 2/3 bookings all point to the same thing that compute scarcity is getting priced into the cloud stack.
2. Neoclouds | $CRWV, $NBIS, $IREN, $WYFI
This is cleanest direct expression of the compute repricing thesis because these companies rent GPU capacity at market-clearing prices to AI-native customers. CoreWeave’s $67B backlog, IREN’s $13B+ contracted backlog, Nebius ~$49B total backlog & WhiteFiber’s $923M+ RPO all point to the same thing that AI-native compute is scarce, contracted capacity is getting locked up years in advance & pricing power is moving toward whoever can bring powered clusters online fastest.
3. High-Performance Computing | $APLD, $HUT, $GLXY, $WULF, $RIOT, $CIFR, $CORZ, $MARA, $CLSK, $HIVE
This bucket may be the most structurally interesting because the core asset is exactly what the AI economy needs most which is power-secured land, grid interconnects, substations, cooling infrastructure & gigawatt-scale operating experience.
How to retire in 2030 (easy):
• Make $2M
• Buy $MU at $715 and $DRAM at $50
• $MU hits $2,000 and $DRAM hits $200 by 2030
•Congrats, you’re now sitting on $6.8M.
What’s stopping you?
I added 4 new positions yesterday
$DRAM Memory ETF
$GRID Power ETF
$FPS Data centers manufacturing
$CLFD Physical infrastructure
Added some $CRDO on Wednesday..
Lets win this AI game..
I told you to buy:
$ASTS at $2 now $106
$IONQ at $7 now $64
$INTC at $20 now $120
$QCOM at $128 now $238
My 4 favorite ones under $20 right now:
1. $POET
2. $TE
3. $KEEL
4. $LAES