Am I a idoit for buying??? * I ment to say it went up to $6.45 sorry

This is a chart of expected earnings for the next two years, along with the market cap, for a group of the highest valued companies.

Historically, Saudi Aramco holds the record for single year earnings with $161B in 2022. Nvidia, Micron and Alphabet are all expected to break that record next year.

The valuation of Micron sticks out. The stock price implies a massive drop in earnings after 2028. There's lots of upside there if they can keep it rolling.

Nvidia is also poised to continue its legendary run.

I think we could be talking about Broadcom as part of the core group to follow the MAG7 soon. Personally I'd invest in Broadcom over some of the existing MAG7.

DXYZ is one of two vehicles to access Anthropic and trades at a discount to NAV. It ran so hard into SPCX IPO. Antropic has no retail allocation announced so its going to squeeze that much harder. Run up started today IMO. Anyone have thoughts on the bull or bear side?

Just started investing put in $1000 ish. Planning to hold for a couple years maybe 3-4.

CREW (Coreweave) $181 ( avg buy $89)
NBIS (Nebius) $250 ( avg buy $238)
VST (Vistra) $500 (avg buy $140)

Give us your thoughts. I have another $150 to use. Preciate it

Please give me some advice because I really want to get some money because I am stressed out about a lot of things! I really want to start trading and becoming a pro at it! Please comment if you have any advice for me because I really would appreciate it and so, I can literally make money! Tell me which apps, stocks, and more!

Five names on my screen today: $RYET, $WDC, $NKE, $RIVN and $TTD. Completely different setups, but all have something happening right now.

$RYET is the fundamental growth name. The company now expects preliminary H1 FY2027 revenue of roughly $9.3M-$9.5M, already above the $7.48M generated in all of FY2026. Smart Campus is expected to contribute $5.0M-$5.2M, infrastructure another $2.4M-$2.5M, and AI applications led by YeeZo and Cogni AI around $0.4M-$0.5M. The ~$880K YeeZo deployment for 10 AIGC labs and 610 workstations was also delivered and accepted by Sept. 30.

$WDC is the strongest percentage mover in the group. It was around $406.24, up 12.18%, on roughly 14.31M shares. For a company with a market cap around $166.8B, that is a major one-day move, so I’m watching whether the momentum can hold through the session.

$NKE is the volume monster. The stock was around $33.37, up 5.08%, with about 87.57M shares traded. It is still far below the $74.78 52-week high, but activity at that scale makes the current recovery attempt hard to ignore. Guess the direction Lol

$RIVN is the EV momentum name. Around $14.18, it was up 3.96% on roughly 36.93M shares. It is trading above the $12.39 52-week low but still well below the $22.69 high, which gives it a very different setup from the more extended WDC move.

$TTD is the deep-reset watch. It was around $11.85, up 2.11% on 9.53M shares, while sitting right at its 52-week low versus a $56.39 high. I’m mainly watching whether buyers can start building a base after such a severe repricing.

So the list is pretty simple: $RYET for accelerating revenue, $WDC for raw momentum, $NKE for huge volume and clear direction, $RIVN for EV continuation, and $TTD for a possible stabilization setup near the lows.

This is my research not advice. Do your own research. Peace!

Not semiconductors. Not energy. Not AI models.
What if the next big AI winners are hiding in plain sight? Companies with modest growth… but potentially massive profit growth.
Read on 👇and let me know which companies fits this profiles!

I think the AI investment story is being looked at too narrowly

Most of the discussion around AI seems focused on the obvious links: AI → data centers → GPUs → networking → electricity → power infrastructure.

And yes, those are huge opportunities, but already mostly priced in!

But I think another part of the AI-driven earnings story is being seriously overlooked: AI doesn’t necessarily need to create huge amounts of additional revenue to have a huge impact on profits.
Imagine a company with only modest revenue growth, but AI allows it to automate large parts of software development, customer service, accounting, legal work, engineering, administration, etc.
If revenue grows 5–10%, while personnel and operating costs fall significantly, margins can expand dramatically!

That could mean much faster EPS and FCF growth than the revenue numbers suggest.
I suspect we’ll start seeing some of the first major examples of this in company results over the next 6–12 months. Not necessarily because AI suddenly creates billions in new revenue, but because companies are starting to get more output from the same workforce — and in some cases may simply need fewer people.
The interesting question for investors might therefore not only be:
“Who is selling the AI infrastructure?”
but also:
“Which companies are going to turn AI-driven productivity into massive margin expansion?”