Look everyone... don't ever be concerned with my positions; be concerned with the risk you are taking.
I've been trading for 43 years and have had only a few single-digit drawdown years. All of my trades are made from very low-risk entry points and always with a hard stop loss in place.
I could turn out to be wrong and the market may have already made its low. If so, I'll get stopped out. That's the business.
I'm wrong just as often as I'm right. The difference is that my risk is always defined and controlled. What matters is not being right all the time; what matters is that the risk taken relative to the potential reward, adjusted for batting average, is managed in a way that produces a profitable outcome over a large sample of trades.
That's how I've approached the market throughout my entire career, and it's no different today. The distribution of gains and losses over time forms a profitable bell curve because risk always comes first, and risk is always managed in relation to reward.
The AI supercycle is in year 3 of 15. You didn't miss it.
You'd make millions by knowing whats coming and buying dips until 2030+
Pay attention, we just finished Phase 1 2023-2025
chips · memory · connectivity
$NVDA → Designs the GPUs every AI model trains and runs on.
$MU → Makes high-bandwidth memory inside every AI server.
$COHR → Moves data at light speed between GPUs optically.
$MRVL → Custom silicon connecting every chip in a hyperscaler's cluster.
$AVGO → Builds Google's, Meta's, and Apple's custom AI chips quietly.
$AMD → Only credible GPU rival to NVDA for AI training.
PHASE 2 — The grid gets built (2026–2027)
power · cooling · networking
$IREN → AI-native data centers built to scale compute and power.
$WULF → Energy-efficient infrastructure hosting the world's most power-hungry AI workloads.
$VRT → Cooling and power systems keeping AI data centers running.
$ETN → Electrical gear powering every hyperscale AI facility being built.
$CEG → Nuclear energy feeding AI's insatiable around-the-clock power demands.
$ANET → High-speed switches moving massive AI workloads across GPU networks.
$GEV → Gas turbines physically delivering power to data centers.
$SMCI → Liquid-cooled GPU server racks — pick-and-shovel for AI density.
PHASE 3 — The massive bottleneck (2027–2029)
materials · space · autonomy
$MP → Mines rare earth materials used in AI hardware and defense.
$USAR → Domestic minerals securing U.S. AI manufacturing independence.
$ASTS → Satellites delivering AI connectivity to every corner of Earth.
$RKLB → Low-cost rockets launching satellites powering AI communication networks.
$KTOS → AI-driven autonomous weapons systems entering mass military deployment now.
$TSLA → Leads real-world AI through robotics, autonomy, and manufacturing.
$SYM → AI-powered warehouse robots automating global logistics at scale.
$ALAB → Chip packaging bottleneck — critical past 100K GPU nodes.
$PLTR → Software turning AI compute into defense and enterprise decisions.
PHASE 4 — Full automation (2030+)
platforms · agents · quantum
$MSFT → Deploys AI agents across every enterprise software product it sells.
$GOOGL → Controls AI search, cloud, and consumer distribution globally.
$META → AI assistants across 3 billion users in social and commerce.
$CRM → AI agents inside enterprise sales — 150K customer moat.
$NOW → AI workflow OS for Fortune 500 enterprises.
Quantum
$IONQ $RGTI $QUBT — next-gen compute unlocking exponential AI breakthroughs.
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AI COMPUTE is sold out until end of 2028.
This is exactly how you become a millionaire, you buy and hold these companies:
GPU / CHIPS (Direct Compute Suppliers)
$NVDA
GPU monopoly. Every data center that gets built needs their chips. Sold-out compute = perpetual backlog. Pricing power is absolute.
$AMD
#2 GPU for AI inference. Overflow demand from $NVDA constraints flows here. MI300X ramp continues.
$AVGO
Custom ASIC chips (TPUs for $GOOG, XPUs for $META). Anthropic just expanded its partnership with Google to secure TPU chips supplied by Broadcom, adding multiple gigawatts of compute capacity starting in 2027. Direct beneficiary.
$MRVL
Custom AI accelerators + data center networking silicon. Wins as hyperscalers diversify away from pure $NVDA dependency.
MEMORY (You Can't Run Compute Without It)
$MU
HBM3E memory is strapped to every H100/B200. Semiconductor lead times hit 40 weeks in March 2026, with memory ICs among the most acutely constrained categories. Micron is structurally undersupplied.
$SNDK
NAND flash for data center storage. Constrained supply + surging demand = pricing power recovery.
NETWORKING (Moving Data Between GPUs)
$CRDO
High-speed SerDes and AEC cables. The connective tissue between GPUs inside clusters. Hyperscaler capex = direct revenue.
$ANET
Ethernet switching for AI clusters. As GPU clusters scale, Arista's switches are the backbone. Recurring upgrade cycle locked in.
$LITE
Optical components for data center interconnects. Fiber optic components are among the most acutely constrained categories being consumed by AI buildout. Accuris
$COHR
Transceiver modules for hyperscale networking. Same optical bottleneck play as LITE.
POWER (The Real Bottleneck)
$VST
Nuclear + natural gas power. U.S. data center electricity demand could drive price hikes of up to 79% in areas like Texas by 2027. Vistra owns generation assets in Texas. Pricing power is structural. CIO Dive
$CEG
Nuclear baseload power. Signed data center deals directly with hyperscalers. Clean, always-on power = premium pricing.
$NEE
NextEra announced plans to build a data center powered by natural gas with carbon capture tech and 1.2 GW of power capacity. Direct AI infrastructure play. Wikipedia
$GEV
Gas turbines + grid infrastructure. Every new data center needs grid upgrades. Massive backlog through 2027+.
$ETN
Power management and electrical infrastructure. Every data center that gets built runs through Eaton's switchgear and UPS systems.
DATA CENTER BUILDERS / OPERATORS
$EQIX
Largest global colocation operator. Data center space scarce through at least 2027 = pricing power for every square foot Equinix owns. KKR
$DLR
REIT with global data center footprint. Occupancy stays pinned near 100% in this supply-constrained environment.
$APLD
Pure-play AI data center builder. Just signed a $5 billion, 15-year lease with a hyperscaler for 200MW of AI/HPC infrastructure. Pipeline is locked. sec
$IREN
High-performance compute infrastructure. Pivoting from Bitcoin mining to AI GPU hosting. Low-cost power + existing infrastructure.
CLOUD HYPERSCALERS (Resell the Compute)
$MSFT
Plans to increase total AI capacity by over 80% and roughly double its data center footprint over the next two years. Azure is the distribution layer for compute. CIO Dive
$GOOG
$175–185B in capex guided for 2026. GCP is capacity-constrained. Every dollar of sold-out GPU time flows through Google Cloud. Futurum Group
$AMZN
$200B in capex projected for 2026. AWS is the dominant cloud. Sold-out compute environments compress margins upward. Futurum Group
$META
Targeting over 10 GW of total capacity by end of 2026 with capex exceeding $100B. Trains its own models in-house. Vertically integrated AI compute.
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If you're under 40 and want to grow your portfolio aggressively, you need to understand how LEAPS work.
A LEAP is a long-term call option with an expiration of one year or more.
Instead of buying 100 shares of a stock for $15,000, you can buy a LEAP contract that gives you similar upside exposure for a fraction of the cost. Same directional bet, way less capital tied up.
Example:
Stock trades at $150/share. 100 shares = $15,000.
A LEAP call might cost $3,000-$4,000 depending on the strike. You now control 100 shares of upside for roughly 20-25% of the capital.
That freed-up capital can work for you elsewhere - selling puts, earning yield, or sizing into other positions.
When you're young, time is on your side. LEAPs let you take concentrated exposure to your highest conviction ideas without locking up all your capital in a single position.
The mistake most people make: buying cheap, far OTM calls hoping for a home run. That's not a LEAP strategy. That's a lottery ticket.
The key is buying calls on stocks you have real conviction in, picking strikes that fit the setup, and giving yourself at least 12 months of runway.
The risk is simple: the max you can lose is the entire premium you paid. If the stock drops or stays flat, your contract loses value every day through time decay.
LEAPs are not a shortcut. They're a capital-efficient tool for high-conviction positions only.
Comment "LEAPS" and I'll send you my free cheat sheet breaking down exactly how I use them. NFA. DYOR.
Absolutely insane.
Micron's, $MU, rally over the last 12 months makes the S&P 500's historic run look like a rounding error.
What a time to be an investor.
🚨🚨 EXCLUSIVE: ARNE SLOT AND LIVERPOOL TO PART WAYS WITH IMMEDIATE EFFECT. 💣
It’s over between the Dutch manager and Liverpool after end of the season review. 👋🏼
Andoni Iraola, clear favorite to take over as next #LFC head coach.
The stock market is in what I believe is a historic,final parabolic leg of a 44 yr secular bull market.I am raising some of my targets as follows: SPX 10,000, Nasdaq Comp 36,000, DJIA 67,000, RUT 4000, QQQ 950, SMH 800, gold $7000 & silver $200. My other targets remain unchanged.
🇪🇬 ساعتين ونصف !
وثائقي تاريخي، أفضل وثائقي في تاريخ رياضة كرة القدم.
من شاب فقير من قرية بسيطة في دلتا مصر، خرج واجتهد ووصل للعالمية، حقق كل شيء، وصل لـ كل أحلام أطفال مصر..
محمد صلاح — القصة كاملة ! ❤️👑