Fams

Husband, Dad, Former Banker, Trader, Sports Junky, & Avid ‘Cuse/PSU Fan. Strategic Advisor for Birdie Quest Golf - ck us out on the App - golf lessons made easy

[Sean trades @SRxTrades]

My favorite setups into the rest of the week

Massive daily bases in the optics sector & incredible relative strength

SK Hynix aims to double wafer capacity over the next five years because AI demand is driving unprecedented growth in memory:

$AAOI
$CRDO
$VECO
$COHR

These look ready to move.

[Remz @Remzztrades]

This is also a great time to make note of the names showing incredible relative strength.

Why?

Because when serious buyers step back in, those are often the names that make the most aggressive moves. The strongest stocks tend to lead the next leg higher while everyone else is still trying to figure out where to put their money.

Here is a list of a few that I really like:

$AAOI
$ASML
$LLY
$UNH
$QCOM
$MRVL
$OSCR
$CRDO

[vnkumar trades 🏌🏽‍♂️🏇🏋🏻‍♂️🐆 @vnkumarvnk]

🚨 Nvidia CEO Jensen Huang: Memory shortage to continue for several years

$MU $SNDK $NVDA

[The Assembly @InTheAssembly]

Trump is meeting with US AI executives next week about direct government equity stakes in their companies.

This is going to move markets.

These 10 companies could be the ones they pick:

[AqibAi @Aqib__786Ai]

10. World Events:

«Analyze the impact of major world events (for example, geopolitical tensions, pandemics) on the stock market. Provide strategies for investors to protect their Portfolios during such events. Consider the impact on [enter sector or stock]».

[Kevin Maro @KevInvestingYT]

My top 5 best AI stocks to invest in long-term:

These are my biggest positions, and I believe each of these will 10x or more over the next 5 years:

$NBIS: The man who built Russia’s Google, lost it to Putin, and rebuilt from nothing. $46 billion in contracted backlog from Microsoft and Meta. 684% revenue growth year over year. $9.3 billion in cash. ARR guided to $7 to $9 billion by end of 2026.  The fastest growing AI infrastructure company most people still haven’t heard of.

$AAOI: Every AI GPU cluster needs optical transceivers. $AAOI makes them. Revenue went from $210 million in 2023 to $456 million in 2025 to a $1 billion+ guide for 2026. $LITE is now $850. $COHR is at $370.  $AAOI makes the same products, growing faster than both, at a fraction of the valuation.

$CRDO: Revenue up 205% in fiscal 2026. Earnings up 805%. FY2027 guidance projecting 80%+ growth with optical products contributing over $600 million.  622 employees printing $40 billion in market cap. The AI connectivity play nobody is talking about loudly enough.

$MXL: Q1 2026 revenue up 43% year over year. Infrastructure sales surged 136% and became the core business.  Panther V targets AI inference bottlenecks across a $5 billion serviceable market. Benchmark just initiated with a Buy and a $125 price target.  Early innings of a full re-rating.

$MRVL: Jensen Huang called it the next trillion dollar company at Computex. They just joined the S&P on Friday. Q1 FY2027 revenue $2.42 billion, up 28% year over year. FY2028 revenue target of $16.5 billion.  Custom ASICs and optical interconnects. The custom silicon wave has barely started.

Five different companies. One common purpose. All of them are building the infrastructure the AI era runs on.

I am long all five. Not financial advice. Do your own research.

[Bilaal- BD investing @bdinvestingg]

Chip stock valuations using PEG (price to earnings growth)

$MU $CRDO $AMD $MRVL $AAOI = Undervalued

[Brandon Walker on Investing @vip92226041]

I'll only say it once. This might be the fastest way to accumulate $3 million by the end of 2026.
My June advice:

$TSM (TSMC) → $418 Must buy
$ONDS (Ondas) → $8 Strong Buy
$NVDA (Nvidia) → $225 Strong Buy
$AVGO (Broadcom) → $392 Must buy
$NOW (ServiceNow) → $107 Strong Buy
$ASTS (AST SpaceMobile) → $89 Must buy
$MRVL (Marvell Technology) → $277 Must buy

I often get asked why I don't turn this into paid content, but for me, sharing stock information is just a hobby. I'm not financially struggling, so I choose to share it for free.
NFA

[Sandeep Anand @SanCompounding]

🚨 Follow the ‘Godfather of AI’ 📈

Jensen is quietly building a strategic Berkshire of AI companies — $18.37B invested across 6 companies.

FABs. Optics. Neoclouds. EDA. AI-RAN. Jensen isn’t buying stocks. He’s buying control points.

🔥 Here’s what he’s buying and why the 1-year returns are insane 👇

∙$INTC +422% over the past year
∙$NBIS +529% over the past year
∙$COHR, $LITE +400% over the past year
∙$NOK +157% in 2026 YTD alone, +45% in 2025 (TTM +300%+)
∙$CRWV -1.6% over past year (IPO’d March 2025, YTD +53%)
∙$SNPS +2.5% over the past year

This isn’t a portfolio. It’s a supply chain.
🔵 $INTC → domestic FAB access = TSMC hedge
⚪ $CRWV + $NBIS → captive GPU demand loop
🔷 $COHR, $LITE → owns the optics bottleneck at 100K+ GPU scale
🟣 $SNPS → lock-in via CUDA-accelerated chip design
🟢 $NOK → AI-RAN = GPU into every 5G tower

[Milk Road AI @MilkRoadAI]

Goldman Sachs just dropped the most precise map of where $7.6 trillion is going over the next five years and it tells you exactly which companies are standing in the middle of an unavoidable flood of capital (Save this).

The numbers are worth understanding precisely before talking about who benefits.

Goldman's baseline projects $765 billion in AI capital expenditure in 2026 alone, growing to $1.6 trillion annually by 2031.

Over the full 2026 to 2031 period, cumulative spend breaks down to $5.1 trillion in compute, $2.1 trillion in data centers, and $358 billion in power.

Nvidia is assumed to command 75% of all compute spend throughout the period, using the Rubin VR200 chip at $80,500 per GPU as the baseline.

The data center specification charts reveal how dramatically physical requirements are escalating.

A standard cloud data center runs 5–15 kW per rack while a transitional Blackwell era AI data center runs 130–200 kW per rack.

The AI factory of the future, running Rubin and Feynman silicon operates at 500+ kW per rack, at greater than 1 gigawatt scale, with liquid cooling only.

Traditional hyperscale data centers cost roughly $10 million per megawatt to build while the next generation AI data centers are being discussed at $15 to $20 million per megawatt.

Goldman identifies silicon useful life as the single biggest swing factor in the entire model.

At a 3-year replacement cycle, cumulative compute depreciation hits $3.99 trillion and at 7 years, it drops to $2.23 trillion, a $1.76 trillion difference on one assumption alone.

Power is only $358 billion of the total, but Goldman is explicit, it is the only component that can prevent the other 95% of the stack from deploying.

Amazon's Andy Jassy put it, "Our single biggest constraint is power." Connecting large data centers to the grid takes years.

Now here are the companies standing directly in the path of each layer of this capital.

Nvidia is still the most concentrated bet on the compute layer.

At 75% of $5.1 trillion in compute spend over six years, that is $3.8 trillion in cumulative revenue flowing through one company's products.

The 75% gross margin on data center GPUs is the reason every hyperscaler is trying to build custom silicon to escape it while simultaneously continuing to buy Nvidia because nothing else performs at the same level.

Vertiv is the direct infrastructure play on the data center upgrade cycle.

Every rack going from 40 kW to 500+ kW needs liquid cooling systems, power distribution, and thermal management infrastructure that simply did not exist at prior density levels.

Vertiv just deepened its liquid cooling capabilities through a strategic acquisition and was named a key partner on Hut 8's large AI-focused Texas data center campus.

The liquid cooling market is growing from $5.5 billion today to $15.75 billion by 2030, and Vertiv is the dominant provider in that market.

Vistra is the power thesis in its most direct form.

The $358 billion power segment is the critical path for the entire $7.6 trillion, and Vistra has spent the last 18 months locking up that critical path through long-term nuclear power purchase agreements.

Vistra secured a 20 year agreement with Meta for over 2,600 MW of nuclear energy, plus a separate deal with AWS from its Comanche nuclear facility.

Goldman Sachs and Jefferies both upgraded the stock after the Meta deal was announced.

The architecture of this trade is simple.

Goldman's model is not a prediction of whether AI spending happens but rather a model of the minimum physical capital required to deploy infrastructure that has already been contracted, already been announced, and is already under construction.

The compute layer requires the chips, data center layer requires cooling and power infrastructure and the power layer requires nuclear at scale on multi-decade contracts.

All three layers are being funded simultaneously, and all three have identifiable public companies sitting directly in the path of the capital.

Come join Milk Road Pro and get our full $7.6 trillion infrastructure breakdown which names across compute, data centers, and power we're currently positioned in and our full thesis on the AI trade.

Link below!

[Chris @itsCblast]

S&P 500 rebalance watchlist for tomorrow after close

My top candidates:
• $MRVL - 70% (AI + semi. Clear frontrunner.)
• $RDDT - 20% (Profitable, liquid.)
• $PSTG - 12% (AI storage angle. Quiet contender.)
• $ALNY - 10% (Biotech name showing up on shortlists.)

Who gets in?

[Value Investing Edge @StonkValue]

President Trump Portfolio signal's where the next biggest market theme is concentrated.

AI chips: $NVDA, $AMD, $AVGO
Software: $MSFT, $ORCL, $PLTR
Consumer tech: $AAPL, $GOOGL, $AMZN
Automation: $TSLA
Defense: $BA
Memory/semis: $MU, $INTC, $QCOM

Don't make it overcomplicated.

Next big winner's will be from:

Defense - $OSS, $ONDS
Space - $FLY, $RKLB, $SATL, $ASTS
AI Infrastructures - $IREN , $CIFR, $WYFI, $NBIS, $ALAB
Memory/Storage - $MRAM, $SNDK, $STX, $SIMO
Energy - $BE, $HYLN, $TE, $EOSE, $AMPX
Photonics - $AAOI, $AXTI, $LWLG, $AEHR
Semiconductor - $AMBQ , $WOLF, $MRVL, $PENG, $MU
Quantum - $IONQ, $INFQ, $RGTI, $QBTS
Software - $DOCN

Trade smarter and Invest Better - https://t.co/u7biod3idT

[Fams @Famjammer]

@TradingWarz what's your target for S&P on the downside

[Prof @TheProfInvestor]

If you missed out on my $INTC $MRVL $ARM $HUT $WULF $ASTS $RKLB etc.

Not a problem.

$SNOW is ready for you.

> Near long term downtrend break
> Coming out of a 4 year base breakout
> Leading software name
> MC 200B

Monthly close above $200 makes this move like other 100-200% winners we have seen.
Watch for confirmation.

You have time. And this can make life changing money.

[Cole @StockOptionCole]

@yetanotherrebel I added today to my July 290C

[Cole @StockOptionCole]

Tomorrows Watchlist 🏆

$NVDA Day Trade / Swing
6/12 225C if we re-test & hold 219 🎯225, 227

$MSFT Swing
7/17 480C if we re-test & hold above 425-435 this week 🎯465, 480

$TSLA Long Swing
12/18 500C if we hold 412 this week 🚨475, 500

$INTC Long Swing
9/18 150C if we hold above 103 this week 🎯130, 150

$HPE Stock Idea
Entry >54 🎯65, 75

[Mark @MajidTulsh32058]

Jensen Huang literally showed investors where the money is going.
The AI trade isn't one stock.
It's a 5-Layer AI Cake:
⚡ Energy:
$BE $GEV $PWR $AMPX $VICR $VST $NVTS $BWXT $CEG $UEC $CCJ
🧠 Chips:
$NVDA $TSM $INTC $AVGO $AMD $ASML $ARM $MRVL $AAOI $AXTI $COHR $MU $SNDK $STX $OPTX
$LITE $ICHR $AEHR $WDC
🏗️ Infrastructure:
$NBIS $IREN $CRWV $APLD $VRT $DELL $HPE $ORCL
🤖 Models:
$GOOGL $META $AMZN $TSLA
🚀 Applications:
$NOW $PLTR $DOCN $SNOW $NET$FSLY $INOD

Every AI dollar flows through this stack:
Energy → Chips → Infrastructure → Models → Applications

[Michael | Hypermarkets @itsmichaelluu]

HYPERMARKET WATCHLIST for June 3, 2026

1. $MRVL — $290 | Jensen trillion-dollar endorsement, continuation or gap fade.

2. $KEEL — $5.68 | Leopold call catalyst, high-beta AI infrastructure momentum play.

3. $AVGO — $487 | Hitting 52-week highs, Q2 earnings tomorrow night. $550 target

4. $TE — $12.04 | Up 15% on offshore wind partnership, narrowing Q1 loss. $15+

5. $GOOG — $364 | Reversal watch, $80B equity raise creating overhead pressure.

6. $META — $600 | Failed $637 intraday, bearish wick — reversal watch setup.

7. $NVDA — $225 | Computex Huang keynote fuel, continuation off AI momentum. $240

8. $AMD — $516 | Breakout strength, TD Cowen raised target to $600.

9. $TSLA — $422 | Breakout holding, continuation play near session highs.

10. $DELL — $466 | Post-earnings AI gap-up, reversal or second-leg continuation.

11. $HPE — $58.94 | Record earnings gap from $44 to $64, high-volatility name.

12. $NOW — $125 | Failed $136 breakout, adding 2027 calls on the flush.

13. $ORCL — $241 | AI cloud momentum, accumulating 2027 calls on dips.

14. $AAOI — $158–185 | High-beta optical play, 800G AI demand ramp incoming.

15. $NOK — $16.25 | Up 9.5%, AI and Cloud revenue grew 49% YoY last quarter.

16. $NBIS — $271 | Leopold Aschenbrenner fund disclosed major stake, AI cloud infrastructure play. Adding calls for $300+

♻️ RESHARE this post and write 1 comment, I forgot to add $NOW $ORCL so I'll DM you my plan for it.

[Leopold Stock Tracker @LeopoldATracker]

8 undervalued stocks Leopold Aschenbrenner is signaling you to buy through his latest 13F reports. It is not $BE, $MU, or $NVDA, but:

• $HIVE — HIVE Digital
• $RIOT — Riot Platforms
• $TE — T1 Energy
• $APLD — Applied Digital
• $IREN — IREN Limited
• $BTDR — Bitdeer Technologies
• $KEEL — Keel Holdings
• $CLSK — CleanSpark

These stocks are all undervalued, with massive potential to create generational wealth.

Not financial advice. Do your own research.

[Sean trades @SRxTrades]

Rotation is the bloodline of a bull market...

Once you learn how to find the next emerging sectors, you will be a head of the heard...

The amount of themes absolutely exploding has been incredible

Strong breadth = strong markets

Last week we saw some rotation into:

-Software
-Quantum
-Drones
-Defense stocks
-Old cycle darlings ($HOOD, $PLTR)

This is only going to continue as the markets search for the next BIG opportunity while semis set back up in big bases

The sectors I'm really focusing on that are a cant miss:

Quantum
$INFQ
$RGTI
$IONQ
$QBTS
$IBM

Software
$ORCL
$TEAM
$SNOW
$MSFT
$NOW
$APP

Drones/Defense:
$UMAC
$ONDS
$RCAT
$AVAV
$KTOS
$PLTR

Robotics:
$TER
$PDYN
$AUR
$OUST
$TSLA
$AMZN

Rare earths/energy:
$USAR
$NEXA
$OKLO
$NNE
$SMR

Data centers:
$NBIS
$CRWV
$CIFR
$IREN
$INOD
$HUT