It's 2035, you're a millionaire, you did exactly this in June 2026:
1. Open up a ROTH IRA (or tax-free savings account)
2. Buy stocks Trump is telling you to buy when he says it (not after it spikes)
- $NOW $85 →$400+
- $DELL $235 → $800+
- $MU $320 → $3000+
- $IBM $220 → $600+
- $INTC $20 → 400+
*these are going a lot higher by 2035 just like $NVDA $AAPL $GOOG $TSLA $AMZN $MSFT
3. BUY LEAPS example $NOW buy Jan 2028 $200 calls.
4. OR just put $500-$1000 bucks into $VOO $QQQ each month (safest)
5. Be patient, keep it boring and simple.
♻️ RESHARE this post and write 1 comment, I'll DM you what LEAP to buy for each of these. Then do nothing, just buy and hold it.
$NOW can easily triple from $125 by Jan 2027.
Remember, token use is expected to 2800% in 5 years says $GS.
So these 24 stocks can still 10x-20x:
(COMPUTE / GPU)
1. $NVDA — Every token touches a GPU. 24x tokens = 24x chip demand, full stop.
2. $AMD — MI300X gaining enterprise traction. Second GPU source as hyperscalers diversify suppliers.
3. $INTC — Gaudi AI accelerators + x86 CPUs running inference at the edge and enterprise.
(NETWORKING)
4. $ANET — AI clusters need ultra-low latency switching. 24x tokens = 24x network traffic routed.
5.$AVGO — Custom AI ASICs for hyperscalers. Token volume drives ASIC and switching orders higher.
6. $CSCO — Data center fabric and ethernet switching. Every agent call crosses Cisco infrastructure.
7. $CIEN — Optical networking backbone connecting AI data centers. Bandwidth demand scales with tokens.
(MEMORY / STORAGE)
8. $MU — HBM3E stacked on NVDA GPUs. More inference = direct memory bandwidth demand explosion.
9. $WDC — Flash storage holds model weights and KV caches. Agent scale drives NAND demand structurally.
10. $STX — Hard drives store cold AI training data. Data center storage TAM expands with every model.
(POWER / COOLING)
11. $VRT — More tokens = more heat. Liquid cooling demand explodes alongside data center power density.
12. $ETN — Electrical infrastructure for AI data centers. Power management is the #1 buildout bottleneck.
13. $GEV — Gas turbines and grid solutions powering new data center campuses requiring gigawatt-scale energy.
14. $VST — Power generator selling directly to hyperscalers. AI energy contracts already locked in long-term.
(CLOUD PLATFORM)
15. $MSFT — Azure hosts majority of enterprise agents. Token spend flows straight through its cloud margin.
16. $AMZN — AWS Bedrock is the enterprise agent backbone. More agents, more API calls, more revenue.
17. $GOOGL — TPU infrastructure + Gemini API. Every token processed on Google Cloud prints margin.
(ENTERPRISE AGENT LAYER)
18. $NOW — Enterprise agents run on its platform. Every workflow automated burns more tokens daily.
19. $CRM — Agentforce deploys AI agents across sales, service, and marketing. Per-action token billing scales.
20. $PLTR — AIP platform runs AI agents on enterprise and government data. Token volume is its revenue driver.
(AI INFRASTRUCTURE)
21. $NBIS — Pure-play AI infrastructure at ground level. Token supercycle lifts the entire compute ecosystem.
22. $SMCI — Builds GPU server racks for data centers. Every NVDA chip needs a SMCI chassis to run.
23. $DELL — AI server sales to enterprises exploding. Token growth drives hardware refresh cycles faster.
24. $ARM — Chip architecture inside every mobile and edge AI device. Royalties scale with token proliferation.
$NOW is the most undervalued right now. This is why Jensen Huang says the market has made a mistake on it.
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$NOW was at $225 before it crashed to $80.
It's probably going to 20x-40x in 2 years.
Remember, CEO $NVDA Jensen Huang and President Trump said buy it.
It's playing out exactly for these:
$DELL at $230 → $430
$INTC at $20 → $130
$SNOW at $121 → $240
$DDOG at $120 → $225
$QCOM at → $125 → $250
$ORCL at $138 → $300 (target for earnings)
♻️RESHARE this post and write 1 comment, I'll DM the buy zone for $ORCL and $DELL
When $SPY pulls back I like these 5 levels most (explaination):
1. $720–$722 → (probability 75%)
- Almost guaranteed first test, it's the nearest broken resistance
2. $697–$700 → (probability 50%)
- Round number + prior base makes it a high-probability magnet
3. $675–$680 → (probability 35%)
- Only if macro data deteriorates and 200MA gets tagged
4. $650–$655 → (probability 20%)
- Requires a true risk-off panic, not just a garden dip
5. $630–$640 → (probability 10%)
- Black swan territory, Fed error or credit event needed
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the $SPY option contract I'd add on this dip for 200%-500%
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