u/bindytrades

Is WULF the most MISPRICED stock right now?
▲ 1 r/hot_stocks+1 crossposts

Is WULF the most MISPRICED stock right now?

Quick breakdown of the business

TeraWulf is primarily:
• Bitcoin mining (cash flow tied to BTC price)
• Pivoting hard into high-performance computing (HPC) / AI data center hosting
• Energy-backed infrastructure (cheap power contracts = key advantage)

Valuation (why it looks “cheap”)

On traditional metrics, WULF screens messy:
• Earnings are volatile (BTC exposure)
• GAAP profitability isn’t stable yet
• Market tends to discount miners heavily

But that’s exactly the point.

The market is pricing it like:
“just another miner that goes boom/bust with Bitcoin”

If their HPC conversion scales, valuation multiples shouldn’t resemble miners anymore.

Growth rates / expansion story

The real story isn’t current earnings — it’s capacity growth:
• Expanding data center footprint
• Increasing high-performance computing hosting revenue
• Growing energy capacity secured at competitive rates

The key metric here isn’t EPS — it’s MW under management + utilization rate

If utilization shifts toward AI/HPC contracts, revenue becomes:
• more stable
• higher margin
• less correlated to BTC swings

Margins (the hidden leverage point)

Today margins look inconsistent because:
• Bitcoin mining is cyclical
• Power + difficulty adjustments compress profitability

But HPC/AI hosting changes the structure:
• fixed or semi-fixed contracts
• better visibility on cash flows
• higher operating leverage once facilities are built

This is the pivot the market hasn’t fully repriced yet.

Cash flow / balance sheet
Short-term: Cash flow is volatile (BTC sensitivity), Capital intensive buildout phase

Long-term bull thesis depends on: securing stable, compute contracts, lowering cost per MW scaling infrastructure faster than debt grows

This is still a “build phase” company — not a mature cash machine yet.

Catalysts the market is underestimating

This is where the asymmetry comes in:

AI compute demand explosion
Everyone needs GPU/data center capacity
Scarcity of power is becoming the bottleneck

Re-rating from “miner” to “AI infra”
Same assets, different multiple regime

Bitcoin bull cycles
Optional upside kicker, not the main thesis

Capacity announcements / partnerships
Any major AI hosting deal could reprice sentiment fast

Bear case (important)

This isn’t a free lunch:

Bitcoin price drops = mining revenue compresses hard

Execution risk on AI pivot

Heavy capital requirements

Competition from larger, better-funded data center operators

Energy costs / regulatory pressure

If the AI pivot stalls, it stays a cyclical miner with compressed multiples.

CONCLUSION:

WULF is one of those names where the current price feels like it’s still anchored to its old identity, while the company is trying to build a new one.

The opportunity isn’t that it’s “undervalued because Bitcoin goes up.”

It’s that: the market hasn’t decided what it actually is yet, And when that reclassification happens — the move is usually violent.

u/bindytrades — 6 days ago

What’s one stock you’d hold for 10 years even if the market closed tomorrow?

Not asking for the highest short-term upside.
I mean a company where if the market literally shut down for the next decade, you’d still feel confident owning the business itself.

My current shortlist would probably be:

  1. Meta
  2. American Express
  3. Advanced Micro Devices
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u/bindytrades — 7 days ago
▲ 9 r/hot_stocks+2 crossposts

My next HIGH CONFIDENCE swing trade…

As I am confident in this play I will not pretend its not incredibly risky. Company is not consistently profitable and in an extremely volatile industry. With that said heres the narrative:

What makes RDW interesting fundamentally is that they’re building actual infrastructure components used across defense and space systems:
• solar arrays
• satellite components
• robotics
• in-space manufacturing
• spacecraft platforms
• defense/aerospace systems

This matters because if the “space economy” narrative gets hot again, RDW benefits regardless of who wins launches. They’re supplying infrastructure into the ecosystem. Even bullish YouTube and Reddit discussions are increasingly calling RDW the “picks and shovels” play for the sector.

The recent numbers/backlog also support the narrative:
• Q1 2026 backlog hit a record ~$498M
• book-to-bill ratio was 1.92
• management reaffirmed 2026 revenue guidance of $450M–$500M
• margins improved materially year-over-year

They’ve also been stacking defense-related contracts lately:
• SHIELD missile defense IDIQ exposure
• national security satellite work
• ESA quantum-secure satellite contract
• new ELSA solar array contracts

The other reason traders may rotate into RDW is valuation psychology.

A public SpaceX could debut somewhere in the $1.5T–$2T valuation range according to reports.
When that happens, retail investors often look for:
• “the next SpaceX”
• smaller cap names with room to run
• infrastructure suppliers that haven’t already 5-10x’d

That’s where RDW fits.

The setup reminds me a bit of how AI infrastructure names moved after Nvidia became dominant: people started buying the secondary ecosystem beneficiaries once the theme became obvious.

The swing-trade thesis specifically is:

SpaceX IPO hype brings mainstream attention to space stocks.

Money rotates into lagging sympathy plays.

RDW gets re-rated as an infrastructure/defense hybrid instead of a speculative small-cap space stock.

Momentum traders pile in once volume expands.

The bear case:
RDW still isn’t consistently profitable.

They’ve relied heavily on acquisitions historically.

SpaceX IPO could also steal capital from smaller space names instead of lifting them.

Space stocks can move violently on sentiment and dilute shareholders often.

But from a trading perspective, RDW has the kind of ingredients that can create a strong momentum swing:
• recognizable narrative
• defense exposure
• improving backlog
• lower market cap
• still under-owned compared to RKLB
• tied to one of the hottest upcoming IPO themes in the market

Good luck to all. Please let me know your thoughts! This is in no way a recommendation just wanted to tell you my opinion on this stock and what i believe it could do. Thanks for reading!

u/bindytrades — 7 days ago

$POET UPDATE

What an explosive move so far!

I did not see this deal coming but with more eyes hitting POET and the massive volume spikes I can see $25 to $30 near term. Purely based on MOMENTUM due to the exciting sector the business is in. This stock could also lose a fair bit with the volatility now and I dont love an entry here in the $19 range.

I am looking to hold my position for the near term and will keep you updated as things continue to develop!

u/bindytrades — 8 days ago

I stumbled onto something interesting and I dont think anyone else sees it yet.

SUMMARY:

CRML = one of the only Western companies actually building physical mining infrastructure inside Greenland right now

They’re not just “exploring” — they’re already:
• building an Arctic-grade pilot facility in Qaqortoq
• setting up on-site housing + logistics base
• moving toward production infrastructure at Tanbreez rare earth project

That matters because Greenland isn’t like Nevada or Chile — it’s:
• extreme logistics (shipping windows, ice, labor constraints)
• heavily regulated permits
• very limited contractors who can actually operate there

DEEP DIVE:

People keep talking about Greenland like it’s some geopolitical “Trump vs Denmark vs China” story.

Forgetting politics, making money here feels simple?

CRML isn’t just a rare earth play — it’s one of the only companies actively building on-the-ground industrial infrastructure in Greenland right now.

They’re already constructing Arctic-grade facilities + logistics base for the Tanbreez project and locking in local operational footprint. That matters way more than people realize in a place where everything is expensive, slow, and permit-heavy.

If Greenland mining ever scales, the winners probably won’t be the first to discover resources…
they’ll be the first to solve logistics, housing, and construction bottlenecks in the Arctic.

⚠️** Quick reality check **l
The “Trump capturing Greenland / project bidding advantage” angle is pure speculation and not investable as a base case

The real confirmed catalyst is just: CRML building Tanbreez infrastructure + rare earth development progress

Greenland projects still face major permitting + environmental + funding risks

What “winning a contract” even mean for CRML:

In Greenland, CRML wouldn’t just “bid and win” like a normal contractor.
They’d be competing for:
• infrastructure scope inside their own project (Tanbreez + 60° North services)
• government-backed development partnerships
• possibly downstream logistics / processing agreements

From recent developments:
• Greenland government approved CRML’s expansion/acquisition activities
• They now control a majority stake in Tanbreez (~92.5%)
• They got approval to acquire 60° North (local construction/logistics capability)
• They’re already building in-country infrastructure instead of relying on outside contractors

What actually matters is:
permitting control
asset ownership
logistics capability
financing (EXIM-type support helps a lot)
ability to execute in Arctic conditions

Which if it comes to a bid i believe they will be able to substantially undercut competitors and win projects with ease.

reddit.com
u/bindytrades — 8 days ago

Forget the Obvious AI Stocks. These 3 Still Feel Early…

POET — photonics/optical interconnect play tied to AI networking demand. Tiny compared to the big names, which is why people see asymmetric upside.

CLS — quietly benefiting from AI server and hyperscaler infrastructure growth while still trading at a relatively reasonable valuation.

VRT — AI data centers need massive cooling and power infrastructure, and Vertiv is directly in the middle of that trend.

reddit.com
u/bindytrades — 8 days ago

3 AI & Chip Stocks Reddit Hasn’t Fully Discovered Yet

1. POET Technologies ($POET)
Everyone talks NVDA and AMD but barely anyone is watching POET. Their photonic tech could become a major piece of next-gen AI networking as data centers fight bandwidth and power bottlenecks. Tiny market cap, huge speculation potential, and the chart is finally waking up. High risk, but this is the kind of name Reddit suddenly discovers after a 200% move.

2. Celestica ($CLS)
CLS might be one of the most underappreciated AI infrastructure plays right now. Low P/E, insane revenue growth, and directly tied to hyperscaler/server demand. While everyone chases flashy AI tickers, CLS is quietly printing cash supplying the backbone of the boom. Feels like Wall Street still hasn’t repriced this thing.

3. Vertiv ($VRT)
AI doesn’t run without power and cooling. VRT is basically selling picks and shovels to the AI gold rush. Data centers are scaling aggressively and power density is exploding. Feels like people still underestimate how critical thermal management and infrastructure are becoming for AI expansion.

reddit.com
u/bindytrades — 8 days ago

$CLS Deep Dive: Celestica Still Looks Undervalued. Heres why:

Celestica ($CLS) has quietly become one of the stronger-performing infrastructure and networking names tied to the data center buildout, yet it still gets far less attention than many higher-valued AI stocks.

A lot of investors still view CLS as a traditional electronics manufacturing company, but the business mix has shifted significantly toward higher-value cloud, networking, and hyperscaler infrastructure products.

The financials are starting to reflect that shift.

Some of the things that stand out:
• Revenue growth has accelerated substantially over the last several quarters, with recent quarters showing strong double-digit growth driven largely by its Connectivity & Cloud Solutions segment.
• EPS growth has outpaced revenue growth, which suggests margin expansion and improved operating efficiency rather than growth coming purely from volume.
• Free cash flow generation has remained strong while the sheets stay relatively healthy compared to many high-growth infrastructure names.
• The company continues benefiting from elevated spending on networking equipment, switches, storage systems, and data center hardware.

What makes CLS interesting is the valuation relative to the growth.

Even after the run-up, the stock still trades at a much lower multiple than many companies tied to the same infrastructure cycle.

The forward P/E has generally remained in a range that still looks reasonable considering the growth rate the company is producing.

That’s likely because the market still partially values CLS like a manufacturing/EMS company instead of a higher-margin infrastructure supplier.
If growth remains elevated and margins continue improving, there’s a case that the market could continue rerating the stock higher over time.

A few additional bullish points:
• Return on invested capital has improved materially
• Operating margins continue trending upward
• Management execution has been consistently strong
• Large cloud and networking customers continue spending heavily on infrastructure upgrades

Forecasting forward, the biggest thing to watch is whether CLS can sustain elevated growth rates as infrastructure demand remains strong.
If the company can continue compounding revenue in the mid-to-high teens while growing EPS materially faster through margin expansion and buybacks, the current valuation may still prove conservative relative to future earnings power.

The market typically rewards companies that can sustain both growth and operating leverage over multiple years, especially in infrastructure-related cycles.

Bear Case:

The main argument against CLS is that a large portion of current optimism may already be priced into the stock after its major run.
Because the company still operates within manufacturing and hardware supply chains, margins could eventually plateau, and growth could slow if hyperscaler spending cools or networking demand weakens.

There’s also risk that investors never fully assign a premium multiple to the business due to its EMS/manufacturing roots.

Still, based on current execution, profitability trends, and valuation relative to peers, CLS appears far less crowded than many of the larger infrastructure names despite producing some of the stronger growth metrics in the sector.

reddit.com
u/bindytrades — 9 days ago

The Market Is Quietly Entering a New Era — And Most Investors Still Don’t See It

For the past 15 years, investing was honestly pretty simple:
• Buy mega cap tech
• Buy the dip
• Let low interest rates do the heavy lifting

That environment may be ending.

And I think most retail investors are massively underestimating what comes next.

The AI Boom Isn’t Just About AI
Everyone keeps talking about: Nvidia, ChatGPT, robots, and automation

But the real story is bigger.

We are entering a period where:
• data centers are becoming the new oil fields
• electricity demand is exploding
• cooling infrastructure matters
• networking bandwidth matters
• power efficiency matters
• physical infrastructure matters again

The next decade may not belong only to software.
It may belong to the companies enabling the entire digital backbone of civilization.

The “Picks and Shovels” Phase Has Started
During gold rushes, the biggest winners often weren’t the miners.

They were the companies selling tools, railroads, infrastructure, and logistics

AI feels similar.

That’s why money is flooding into:
• semiconductors
• power management
• optical networking
• data center REITs
• utilities
• cooling systems
• industrial automation

People think AI is just an app revolution.

It’s becoming an infrastructure revolution.

And Here’s The Crazy Part…
Most investors are still positioned like it’s 2021.

Chasing:
• unprofitable hype
• meme pumps
• random penny stocks
• stories with no cash flow

Meanwhile some of the strongest businesses on earth are compounding quietly in the background.

Companies with:
• real earnings
• pricing power
• recurring revenue
• AI exposure
• shareholder returns
• fortress balance sheets

The market is rewarding durability again.

My Personal Take

I think the next monster winners will come from 3 categories:

1. AI Infrastructure
The obvious one. Not just GPUs — but:
• networking
• power
• cooling
• semis
• data centers

2. Mission-Critical Software

Businesses companies literally cannot operate without.

The sticky subscription cash flow models are insanely powerful.

3. Industrial & Energy Reinvestment

America is going to spend trillions upgrading:
• grids
• factories
• manufacturing
• automation
• energy systems

That capital has to go somewhere.

The Biggest Lesson I’ve Learned

The market usually looks obvious after the move happens.

Nobody cared about cloud before cloud won.

Nobody cared about semis before semis exploded.

Now I’m starting to think the next massive trend is:

AI infrastructure + physical digital backbone expansion.

And honestly?

We may still be ridiculously early.

Curious what sectors everyone else thinks dominate the next 5-10 years.

reddit.com
u/bindytrades — 10 days ago
▲ 1 r/hot_stocks+1 crossposts

🚨 POET Might Be One of the Most Explosive AI Infrastructure Plays Nobody Fully Understands Yet

Everyone is chasing GPUs… but what if the real bottleneck in AI isn’t compute anymore?

What if it’s moving data fast enough between chips, racks, and data centers?

That’s where POET Technologies comes in.

POET ($POET) has been absolutely ripping lately, gaining roughly 50% last week as investors pile into the photonic networking narrative tied to AI data centers.

The thesis is getting harder to ignore.

🔦 The Big Picture: AI Infrastructure Is Hitting a Wall

Traditional copper interconnects are becoming a massive problem for hyperscale AI clusters:
• Too much heat
• Too much power consumption
• Signal degradation at ultra-high speeds
• Scaling limitations for 800G → 1.6T networking
• Photonics solves this by using light instead of electricity to move data.

Think:
• lower latency
• lower power draw
• higher bandwidth
• better thermal efficiency

This is becoming one of the most important themes in next-gen AI infrastructure.

Why POET Is Suddenly On Everyone’s Radar

POET isn’t trying to compete with Nvidia.
They’re trying to become a critical layer underneath the AI ecosystem through their Optical Interposer platform — designed for optical engines, transceivers, and photonic integrated solutions for hyperscale data centers.

Recent catalysts:
• Strategic partnerships with LITEON, Lessengers, Sivers, and others
• Growing interest in 800G and 1.6T optical networking
• Massive AI data center capex wave
• Retail speculation about potential order announcements during earnings
• Hundreds of millions raised to scale commercialization

The company is basically transitioning from:

“interesting photonics R&D story”

to:

“possible real AI infrastructure supplier.”

🧠 The Bull Case

If POET executes:
• photonics demand could explode
• AI networking spend could become enormous
hyperscalers may desperately need more efficient optical solutions
• small-cap valuation leaves huge upside potential

The market is beginning to realize that AI isn’t just about chips anymore.

It’s also about:
• connectivity
• networking
• optical scaling
• thermal efficiency
• power consumption

And POET sits directly in that conversation.

⚠️** But Don’t Ignore The Risk**s
This is still highly speculative.

The company:
• is not meaningfully profitable
• still has limited revenue traction
• has diluted shareholders multiple times
• needs successful execution + customer adoption
• trades heavily on future expectations

Even bullish investors acknowledge that the “show me the orders” phase is now critical.

Final Thoughts
POET feels like one of those stocks that could either:
become a legitimate AI infrastructure winner over the next few years

or

flame out trying to commercialize ambitious technology.

But one thing is clear:

The market is finally waking up to the idea that AI scaling requires a photonics revolution — and POET is one of the smaller names directly exposed to that trend.

• High risk.
• Potentially massive reward.

Curious what everyone else thinks about the future of optical networking and photonics in AI.

u/bindytrades — 10 days ago

MNDY Surging on Q1 2026 Results… Is This an Opportunity?

MNDY is absolutely ripping after earnings and this quarter might’ve changed the narrative around the stock.

Q1 revenue came in at $351.3M (+24% YoY), operating income hit record levels, and management raised full-year guidance.

Even more interesting:

enterprise adoption is accelerating fast, with customers spending over $500k annually up 74% YoY.

What stands out to me is this is no longer “just” a project management app. Management is aggressively pushing into AI-powered workflow automation with its new AI Work Platform and native AI agents.

Why I think bulls are excited:
• Strong growth + profitability at the same time
• Enterprise customers are scaling rapidly
• Massive free cash flow generation
• AI features could increase stickiness and spending per customer
• Still feels underfollowed compared to names like Salesforce or ServiceNow

Feels like the market is finally realizing MNDY could become a serious AI-enabled enterprise software platform rather than just a “task board” company.

Wouldn’t be shocked if this becomes one of the strongest SaaS momentum names again over the next 12-24 months. 🚀

What do you guys think?

u/bindytrades — 11 days ago
▲ 69 r/Stocks_Picks+1 crossposts

The REAL AI Infrastructure Plays (Including Some Smaller Names Most People Ignore)

Everyone talks about the mega caps.

NVDA. MSFT. GOOG.

But if AI truly becomes a once-in-a-generation infrastructure buildout, some of the biggest upside may come from the smaller companies supplying the bottlenecks behind the scenes.

Not all of these are “safe,” but they’re some of the most interesting AI infrastructure names I’ve found.

The Big Dogs
NVIDIA (NVDA)
Still the king.

• AI GPUs
• CUDA moat
• Networking expansion
• AI factories/inference

The backbone of modern AI compute.

Broadcom (AVGO)
The quiet monster.

• AI networking
• Custom ASICs
• Hyperscaler exposure
• Huge margins/cash flow

Could become one of the largest beneficiaries of AI scaling.

AMD
The challenger.

• MI-series GPUs
• AI servers
• Alternative to NVDA

If they capture even moderate AI share, upside could still be enormous.

Smaller / Less Discussed AI Infrastructure Names

Vertiv (VRT) — Cooling & Power
One of my favorite “hidden bottleneck” plays.
AI data centers consume absurd amounts of electricity and heat.
Some people think compute is the bottleneck.
I think power and cooling might become equally important.

Astera Labs (ALAB) — AI Connectivity
Very under-the-radar compared to NVDA/AMD.
They build connectivity solutions for AI servers and data centers.
As AI clusters become larger and more complex, moving data efficiently becomes critical.
This is one institutions are starting to quietly accumulate.

Celestica (CLS) — AI Hardware Manufacturing
Not talked about enough on Reddit.
They help manufacture networking and AI hardware systems.
As hyperscalers spend billions scaling AI infrastructure, companies like CLS may quietly benefit behind the scenes.

Coherent (COHR) — Optical Networking
AI data centers need faster optical connections.
That’s where COHR comes in.
One of the more speculative names, but AI networking demand is exploding.

Marvell (MRVL) — Custom AI Chips
One of the strongest “second derivative” AI plays.
If hyperscalers continue moving toward custom AI accelerators, MRVL could become a major winner.

Micron (MU) — Memory Bottleneck
HBM memory demand is going insane.
AI models need enormous memory bandwidth.
People underestimate how critical memory becomes as models scale.

Super Micro Computer (SMCI) — AI Server Builds
Very volatile, very controversial, but undeniably tied directly to AI infrastructure spending.
Basically a leveraged bet on AI server demand.
Not for the faint of heart.

The AI boom is starting to look less like a software cycle and more like a massive industrial revolution.

Would love to hear what smaller AI infrastructure names everyone else is watching.

reddit.com
u/bindytrades — 11 days ago

Everyone’s Chasing AI Chips… Meanwhile CRM Might Be the Cheapest AI Monopoly Hiding in Plain Sight

CRM is one of the most misunderstood mega-cap tech stocks in the market right now.

Wall Street keeps treating it like “old SaaS,” while management is trying to turn it into the operating system for enterprise AI agents.

The entire bull case comes down to one question:

Is Salesforce becoming the infrastructure layer for AI-powered business workflows… or is AI about to commoditize CRM software entirely?

That’s the fight.

The Core Business Nobody Appreciates Enough
People forget how massive Salesforce actually is.

This is not a niche SaaS company anymore:

• ~$40B+ annual revenue run rate
• Deep integration into enterprise sales, service, marketing, analytics, and workflows
• Extremely sticky enterprise customers
• Huge free cash flow generation
• Massive ecosystem and switching costs
• Companies don’t casually rip out Salesforce.

Once it becomes the “system of record” for customer data, sales pipelines, service operations, and internal workflows, it becomes deeply embedded into the company’s operations.

That moat matters enormously in AI.

Because AI without proprietary enterprise data is far less valuable.

Why AI Could MASSIVELY Benefit CRM

This is where the market may be getting it wrong.

The bear case says:

“AI agents replace SaaS seats, so Salesforce revenue gets destroyed.”

But the bull case is the exact opposite:

AI actually INCREASES the importance of the system holding the enterprise data and Salesforce owns the customer workflow layer.

That’s why management is pushing:

• Agentforce
• Data Cloud
• AI workflow automation
• AI-powered service/sales agents
• Enterprise orchestration

The company reported explosive Agentforce growth and rapidly expanding AI-related ARR.

Even critics admit AI is currently being layered on top of Salesforce rather than replacing it outright.

Agentforce = The Entire Investment Thesis

This is the key thing retail investors need to understand.

Salesforce is betting that enterprises do NOT want random disconnected AI tools.

They want:
• security
• compliance
• customer data integration
• workflow integration
• governance
• automation tied directly into existing systems

That’s what Agentforce is trying to become.

And if it works?

CRM stops being viewed like a slowing SaaS company and starts being valued like an enterprise AI platform.
Some estimates now place Agentforce ARR growth well above 150%+ YoY.

Salesforce has also disclosed:
• thousands of paid Agentforce deals
• strong Data Cloud adoption
• growing AI token usage
• expanding remaining performance obligations (RPO) backlog

That matters because backlog growth suggests customers are still committing to the platform long term.

Why the Stock Collapsed Anyway

Because the market is terrified of AI disrupting SaaS.
The concern is simple:

If AI agents can perform sales/service functions automatically, maybe companies need fewer Salesforce seats.

That fear crushed the entire SaaS sector.

CRM got hit especially hard because:
• growth slowed from prior years
• macro pressured enterprise spending
investors rotated into semis instead
• AI hype shifted toward infrastructure plays like NVIDIA
• So CRM went from “premium compounder” to “value SaaS stock.”

At one point shares traded around ~13–14x forward earnings despite:

• high margins
• double-digit FCF growth
• huge buybacks
• expanding AI monetization

That valuation compression is a huge part of the bull thesis.

The Hidden Weapon: Free Cash Flow

This company prints cash.

That’s the part retail ignores because it’s boring.

Salesforce has transformed from: growth-at-all-costs

into:
• margin expansion
• shareholder returns
• buybacks
• disciplined operating leverage

Recent reports showed:
• strong operating cash flow growth
• strong free cash flow growth
• aggressive repurchases
• improving margins

That changes the stock profile dramatically.
It’s no longer just “high multiple SaaS.”

It’s becoming: a mature cash-generating software giant WITH optionality from AI

That combination is rare.

What Makes CRM Interesting RIGHT NOW

The setup is asymmetric.

The market is pricing Salesforce like: a mature slowing SaaS company

But management is trying to turn it into: the AI operating layer for enterprises.

If Agentforce becomes real at scale: the stock probably looks cheap.

If Agentforce disappoints:

the stock probably stays rangebound as a slower-growth cash flow company.

That’s the bet.

Everyone says AI will kill SaaS.

But what if AI actually makes the companies WITH the enterprise data even stronger?

That’s the entire CRM debate.

u/bindytrades — 12 days ago

My 3 FAVORITE Dividend Stocks Right Now and WHY!

**1. Sherwin-Williams (SHW)**

This is one of the best “compounder” dividend stocks in the market.

Why I like it:

Dominates the paint/coatings industry with huge brand power

Benefits from housing, commercial construction, and renovation cycles

Extremely strong pricing power — can raise prices without losing customers

Long history of dividend growth and buybacks

Why it can appreciate:

SHW historically trades at a premium because investors view it as a high-quality industrial compounder. If housing activity improves over the next few years, earnings growth could accelerate again.

This is more of a “wealth compounder” than a high-yield income stock.

**2. Cintas (CTAS)**

One of the quietest elite businesses in America.

Why I like it:

Provides uniforms, safety products, and workplace services to businesses

Highly recurring revenue

Massive moat from logistics/network scale

Incredible margins and execution

Why it can appreciate:

CTAS has quietly been one of the best-performing dividend stocks of the last decade because it compounds earnings consistently. Even during weaker economies, businesses still need uniforms, safety compliance, and facility services.
Dividend yield is smaller, but dividend growth and stock appreciation have been exceptional.
**3. PepsiCo (PEP)**

Probably the best blend of:

safety

dividend reliability

defensive recession resistance

moderate upside

Why I like it:

Owns dominant global brands
Snacks business is extremely strong
Reliable cash flow machine
50+ years of dividend increases

Why it can appreciate:

PEP has underperformed recently because investors rotated into AI/high-growth names. That may create an opportunity if earnings stabilize and valuation recovers.

You’re getting:
\~3% yield range
defensive business
dividend growth
potential rebound upside

A few honorable mentions:
Johnson & Johnson (JNJ) — safer/defensive healthcare exposure
Coca-Cola (KO) — ultra reliable but slower growth
Nucor (NUE) — more cyclical but stronger upside potential
Procter & Gamble (PG) — elite stability
Chevron (CVX) — higher yield with energy upside

reddit.com
u/bindytrades — 12 days ago

My 3 FAVORITE Dividend Stocks Right Now and WHY!

**1. Sherwin-Williams (SHW)**

This is one of the best “compounder” dividend stocks in the market.

Why I like it:

Dominates the paint/coatings industry with huge brand power

Benefits from housing, commercial construction, and renovation cycles

Extremely strong pricing power — can raise prices without losing customers

Long history of dividend growth and buybacks

Why it can appreciate:

SHW historically trades at a premium because investors view it as a high-quality industrial compounder. If housing activity improves over the next few years, earnings growth could accelerate again.

This is more of a “wealth compounder” than a high-yield income stock.

**2. Cintas (CTAS)**

One of the quietest elite businesses in America.

Why I like it:

Provides uniforms, safety products, and workplace services to businesses

Highly recurring revenue

Massive moat from logistics/network scale

Incredible margins and execution

Why it can appreciate:

CTAS has quietly been one of the best-performing dividend stocks of the last decade because it compounds earnings consistently. Even during weaker economies, businesses still need uniforms, safety compliance, and facility services.
Dividend yield is smaller, but dividend growth and stock appreciation have been exceptional.
**3. PepsiCo (PEP)**

Probably the best blend of:

safety

dividend reliability

defensive recession resistance

moderate upside

Why I like it:

Owns dominant global brands
Snacks business is extremely strong
Reliable cash flow machine
50+ years of dividend increases

Why it can appreciate:

PEP has underperformed recently because investors rotated into AI/high-growth names. That may create an opportunity if earnings stabilize and valuation recovers.

You’re getting:
\~3% yield range
defensive business
dividend growth
potential rebound upside

A few honorable mentions:
Johnson & Johnson (JNJ) — safer/defensive healthcare exposure
Coca-Cola (KO) — ultra reliable but slower growth
Nucor (NUE) — more cyclical but stronger upside potential
Procter & Gamble (PG) — elite stability
Chevron (CVX) — higher yield with energy upside

reddit.com
u/bindytrades — 12 days ago

Top 3 Stocks RIGHT NOW!

My favorite are:

NOW

CRM

INTU

SAAS is my favorite value/growtg blend right now since i believe its been considerably written off by the street due to AI.

reddit.com
u/bindytrades — 12 days ago
▲ 3 r/hot_stocks+2 crossposts

U.S. Economy & Markets Briefing — May 9, 2026

Market Sentiment:

Bullish overall, driven by continued AI enthusiasm, resilient economic data, and easing fears around the Middle East. Investors remain optimistic but increasingly cautious about stretched tech valuations.

Major Index Performance:
S&P 500: ~7,399 (+0.8%) — fresh record highs
Nasdaq: ~26,244 (+1.7%) — led by semis/AI names
Dow Jones: ~49,608 (flat)

Key Economic News Today:
Stronger-than-expected U.S. jobs data reinforced the view that the economy remains resilient.
Markets are now focused on next week’s CPI, PPI, and retail sales reports for inflation direction.
Earnings season remains strong, with ~84% of S&P companies beating estimates.

Federal Reserve / Rates Outlook:
Strong labor data reduced expectations for near-term Fed rate cuts.
Treasury yields eased slightly, but markets increasingly expect the Fed to stay cautious and “higher for longer.”

Geopolitics / Oil / Inflation:
Markets are watching U.S.-Iran ceasefire developments and an upcoming Trump-Xi meeting closely.
Oil volatility remains elevated, though crude prices have eased from peak war-driven spikes, helping inflation fears cool somewhat.

Major Stories (Bloomberg/CNBC/Reuters/WSJ):
RBC raised its S&P 500 year-end target to 7,900 on continued AI optimism.
Akamai surged after reports of a major AI infrastructure deal tied to Anthropic.
Michael Burry warned the AI rally resembles the late-stage dot-com bubble.
WSJ highlighted earlier volatility tied to oil spikes and Middle East tensions this week.

Tech / AI / Crypto Movers:
Nvidia, AMD, Intel, Micron, and AI infrastructure names continued to lead markets higher.
AMD rallied sharply after strong AI chip demand forecasts.
CoreWeave dropped after raising capex outlook due to rising component costs.
AI/cloud-related names like Akamai saw major upside momentum.

Overall Mood:
Markets remain aggressively risk-on, with AI continuing to dominate investor attention and push indexes to record highs. However, concerns about valuations, persistent inflation, and geopolitical uncertainty are keeping some investors cautious beneath the surface.

reddit.com
u/bindytrades — 12 days ago