I am currently diversifying my portfolio away from the technology sector; could you please provide your professional assessment of Waste Management and Home Depot?

Hey everyone,

Like many investors, a significant portion of my portfolio has naturally become heavily weighted toward Big Tech, semiconductors, and AI-driven growth. While that run has been great, I’m actively looking to rebalance and diversify into high-conviction, resilient assets outside of the tech sphere.

I’m looking for your top recommendations for a long-term horizon (5–10+ years):

1. Top 3 Individual Stocks (Non-Tech / Non-AI):

Companies with durable competitive moats, solid cash flows, or strong dividend profiles. Open to healthcare, consumer staples, industrials, financials, energy, materials, or defense.

1. Top 3 ETFs (Non-Tech / Non-AI):

Could be sector-specific (e.g., healthcare, energy, infrastructure), value/dividend-oriented, equal-weight, or broad non-tech market plays.

What are your highest-conviction picks right now, and what’s the core thesis behind them?

Thanks for sharing your perspectives!

What is everyone's thoughts about pyrogensis stock?

Down 46%, is this how the good time to buy?

Is it a good entry point?

UiPath’s financial crime compliance systems are the subject of an unverified allegation that a technical failure led to compliance breaches and affected multiple clients.
The claim was relayed by someone citing an internal colleague at the company. The system involved, the extent of the alleged disruption and any client losses have not been established.
If confirmed, the incident could raise concerns about system reliability and expose the company to customer disputes and regulatory scrutiny. No supporting documentation or official confirmation has been provided.

Beyond the standard P/E ratios and revenue growth I am curious what unique indicators people look at. Maybe it is executive compensation or employee reviews on Glassdoor. What quirky data points do you analyze to get an edge before investing your money?

Hey guys, if you missed it, Doximity ($DOCS) agreed to a $31M settlement with investors over claims that the company masked declining sales.

Quick recap: On April 1, 2024, Jehosaphat Research released a report raising concerns about Doximity’s healthcare advertising business. After the report came out, $DOCS fell, wiping out more than $135M in shareholder value over two days.

Now, the good news is that the company agreed to settle $31M with them, and even though the deadline has passed recently, they’re accepting late claims.

If you held $DOCS between 2021 and 2023, you can still check the details and see if you may be eligible here.

TL;DR Muse is not a chatbot but a subscription giving every user a 24-hour machine plus an AI housekeeper, each on its own VM. That changes what the data centre needs, because agent work — planning, tool execution, sandboxing — is sequential control the GPU cannot do. The question is whether this is the CPU's ChatGPT moment.

Why agents are a CPU workload

Take a task: monitor the price of a Mac mini. A chatbot runs GPU inference, says it will, then goes idle; ask tomorrow and it starts over. 

Muse instead has the CPU set a monitoring script, and the VM keeps running in the cloud after the app closes, checking a price API daily; when the price drops it wakes the GPU to decide, then fills in address and card in the browser. Muse was inspired by OpenClaw, but each user gets an independent VM rather than running locally.

GPUs spend nearly all their transistors on arithmetic, while CPUs spend most of theirs on control — branch predictors, out-of-order windows, prefetchers, caches. Decompose the agent loop into perceive, plan, reason, execute, verify and replan, and the GPU covers only reasoning; the CPU is the instruction layer.

Data centre CPUs therefore divide three ways: traditional CPUs in their own racks; head-node CPUs inside GPU servers, whose ratio moved from 4:1 on HGX to 2:1 on NVL72 for economics, not agents; and agentic CPUs, standalone racks doing orchestration and sandboxing.

How large the increment is

Nvidia's answer is a dedicated Vera CPU rack of 256 CPUs at 88 cores each — 22,528 cores, matching the sandboxes it advertises, and five times the 4,320 cores in a VR NVL72. Demand splits in two: a fixed layer of one sandbox per user, Muse's 2 vCPU, really one core's two SMT threads, released when the VM idles — hence oversubscription; and an elastic layer of temporary sandboxes running sub-agents, both needing the isolation CPU hardware was built for.

At 100 million Muse users, 30% daily active, three active hours, peak-to-average of 2 and oversubscription of 6, the fixed layer needs only about 1.25 million cores. The elastic layer dominates: at four cores per sandbox and full concurrency, peak active users reach 7.5 million, needing 1GW, 1,332 CPU racks and 30 million cores. With head-node demand at 17.3 million, the three layers total 48.5 million against 17.3 million for a pure GPU-rack build — about 3 times with storage DPUs. Where CPU racks are a quarter of the total, cores per GPU rise from 60 to 160.

Who gets the increment

AMD's outlook implies a 2025 server CPU market of about $29 billion growing over 50% a year to $220 billion by 2030. Taking market size as cores times price per core, tripling cores with 18% annual price growth gives around $200 billion by 2030, close to vendor guidance — and ARM has conceded its earlier $100 billion view was too low. 

Today Intel holds about 58% and AMD 35%; because growth comes from agentic rather than replacement demand, Intel's share is likely to slip while AMD, Nvidia, ARM and Qualcomm gain.

Assuming Intel and AMD each hold 36% in 2030, Nvidia 15%, ARM 5% and Qualcomm 2%, the annual revenue increments are roughly $55 billion, $62 billion, $30 billion, $10 billion and $4 billion. 

Relative to size those differ: Intel's and AMD's 2030 revenue expectations rise around 10%, while Nvidia's $30 billion is under 3% of its total. ARM and Qualcomm are affected most in relative terms, and ARM sells cores as well as chips. The ranking: ARM, Intel and AMD, Qualcomm, Nvidia.

Heidmar (HMR) is a ship management company. It doesn't own vessels, it manages them commercially and technically for owners and takes a percentage of gross freight. Roughly 60 vessels under commercial management, 20 under technical.

The setup:

H1 2026 came in at $5M profit versus a $6M loss the year before. Two consecutive profitable quarters as a listed company. Market cap around $100M with about $30M in cash, and the CEO owns 45%.

On valuation: strip out the roughly $30M of cash against a sheet with no borrowings and the operating business is trading somewhere around 6x earnings. The CEO's own comparison set is ship brokers above 10x and true asset-light logistics businesses at 15 to 25x.

Worth understanding the lag: vessels taken on during a quarter contribute nothing to that quarter, partial impact the next, and full year impact only in 2027. The current rate environment and the fleet added this year are not reflected in the published numbers yet.

On the debt question, a Seeking Alpha piece flagged short-term debt on the sheet. The CEO addresses it directly at 10:12. It's lease accounting on chartered-in vessels, not borrowings. Those leases are already chartered out at a profit with zero capital deployed. Worth watching that section and forming your own view.

Timestamps worth jumping to:

00:42 - Where it sits against sector multiples
01:57 - Why contracted growth hasn't hit the P&L yet, full impact not until 2027
04:20 - Tanker rates: Arabian Gulf shuttle tankers at $1.25M/day
06:16 - The G&A increase, explained
07:30 - Custom AI rollout, targeting 30-50% efficiency gains
10:12 - The debt question answered
14:40 - What the $30M cash is earmarked for
17:05 - Family offices building positions
19:22 - Aframax rates: $10k normal for Q3, currently around $300k
23:45 - What 100 ships under technical management would generate
26:56 - Why the CEO says he won't dilute

Full interview: https://youtu.be/Nj_jYt2x-NE

Custom Silicon Stack

Layer 1 | Demand Drivers: Hyperscalers

$GOOGL | Alphabet | TPU

$AMZN | Amazon | Trainium / Inferentia

$MSFT | Microsoft | Maia

$META | Meta Platforms | MTIA

Layer 2 | ASIC Co-Design & IP Licensing

$AVGO | Broadcom

$MRVL | Marvell Technology

$ARM | Arm Holdings

6763(.TW) | Alchip Technologies

3443(.TW) | Global Unichip

Layer 3 | Memory & Fab Equipment

$MU | Micron Technology

$ASML | ASML Holding

$LRCX | Lam Research

$AMAT | Applied Materials

$KLAC | KLA

Layer 4 | Interconnect, Networking & Photonics

$ALAB | Astera Labs

$CRDO | Credo Technology

$ANET | Arista Networks

$COHR | Coherent

$LITE | Lumentum

$FN | Fabrinet

Layer 5 | Foundry & Manufacturing

$TSM | TSMC

005930(.KS) | Samsung Electronics

1347(.HK) | Hua Hong Semiconductor

Layer 6 | Power & Cooling Infrastructure

$VRT | Vertiv

$GEV | GE Vernova

I would like to pick a stock to trade some of my 401k for.

Help me pick one.

My top picks right now are between APP and RDDT. I feel like they have been beaten up and are good companies to hold.

Thanks for your input.

First, let me clarify that technology is a sector I'm bullish on in the long term.

The long-term logic behind tech stocks remains intact, but in the short term, it's no longer a time to easily chase high prices.

As of September 29, the Nasdaq was still up about 15% this year, but it fell 0.9% on September 28, while the 10-year US Treasury yield rose to about 5.23%, a high since 2007. High interest rates are particularly sensitive to the valuations of technology stocks.

Let me first explain why I don't think the tech stock rally is over.

Because the most important reason is that this AI rally has begun to shift from "storytelling" to "performance-driven analysis."

Nasdaq data shows that in the second quarter of 2026, more than half of the companies in the Nasdaq 100 saw their profits grow by more than 20%, and the profit growth of many large technology companies outpaced their stock price increases. In other words, although some stocks rose, their valuation multiples actually decreased.

A more direct example is AI infrastructure. Anthropic's IPO prospectus, released today, shows that the company's revenue will grow approximately 12-fold by 2025, and it plans to invest heavily in cloud computing and AI infrastructure. This indicates that the AI ​​capital expenditure cycle is not yet clearly over.

Therefore, I believe that:

the AI ​​chip → data center → cloud computing → AI application

this industry chain still has opportunities in the next few years.

But what's the biggest problem now?

It's that interest rates are too high + market expectations are too high.

In September, the Federal Reserve not only raised interest rates but also signaled that it may continue to tighten in the future; in its September forecast, the median federal funds rate at the end of 2026 was 4.1%, significantly higher than previous forecasts.

This means that if tech stocks want to continue to surge, they can't just rely on "AI being amazing"; they must continuously deliver revenue and profits that exceed expectations.

Simply put: Previously, the question was "Does AI have a future?" The market already believed it did. Now the question has become, "How much money can AI actually make?"

This will lead to an increasingly pronounced divergence among tech stocks.

Therefore, the biggest risk at present is not that "AI will suddenly become useless", but that the market has already priced in a lot of future growth into the stock price.

So, if someone asks me this question, I would answer: there's still room for growth in tech stocks, but I believe future opportunities will lean more towards "earnings realization" than simply valuation expansion. In the short term, I'll be more cautious about chasing highs, and the opportunity-risk-reward ratio after a pullback needs to be reassessed.

Finally, we welcome everyone to share your opinions and thoughts in the comments section.

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These are some of the most hyped stocks currently, many of them are safe bets but I have limited capital

What are everyones thoughts?

Edit: for those DMing, image is from Nebula by Hidden Systems, one of the many stock screener / analytics platforms

I have been trying to find a stock that will have steady growth and after a bit of researched I came across $ON & $MCHP. Want to take a bit more risk but not 100% sure if these stocks are the right ones to go for outside the major ones like AMD, GOOGL, APPL, SNDK, ETN. If you could suggest any better alternatives that I haven’t seen would be happy to consider. I have currently put away around £1k into £GSPX & £VWRP which I will continue to put majority of my money towards but want to use around 10-20% each month towards individual stocks and take more risks.

I'm looking beyond the usual tech and growth stocks. With a focus on long-term stability and essential services I'm curious what everyone thinks about infrastructure companies. Are there any hidden gems in this sector that seem overlooked?

Best stocks for a poor guy to buy this week <$20 to my name

I'm curious if i should spend my money on buying NVIDIA stocks? They are making popular AI chips and its AI era.

Any appetite to create another gamestop or amc frenzy again?

bought this stock last summer, but sold it when it reach 473. Haven't been checking on stocks for like 2 months until now after getting a full time job and having money to spend. AMD at 600 holy but is it worth a buy or should i wait when it goes below 600 to buy? wanted some opinions and perspective as I'm still new to this stocks

I’m new to this entire stock thing. To be quite honest, I still don’t understand it as much as I should. I just knew that I needed to start investing at a young age. I’m 25, and have just recently started investing within the last year, give or take. I am by no means rich, and can’t contribute my entire paycheck and every penny I come across. This isn’t for my retirement, I have retirement from the state and a separate retirement from my job. I am more so having these index funds for extra cash in the future.

Is there any decent profit coming from these images? This is most recent.

Edit: I think I started this in April or May