Wow, what a year... I'm speechless. 🤐

First and foremost, I’d like to thank to you—the folks at Getquin. Also, the comments, casual conversations and even the occasional constructive criticism, above
especially your posts have helpedform in my opinion , hybrid portfolio .

Lvl 180 – Milestone 🪨

In the beginning, it consisted mainly of dividend aristocrats and Kingswhose prime may already past . Through the encouragement from so many of you, I’ve listenedand reflected and decidedto focus more on the winners . Stocks that are in demand in demand, not the ones that used to were.

I like companies that are deeply entrenched in the system, including $MSFT (+0,19%)
$MCD (+1,19%)
$META (-1,01%)
$UNH (+2,49%)
$CME (+1,16%) etc.

But I also love totally ordinary, simple businessesthat appeal to consumers extremely well. For me, these include $TJX (+0,39%)
$AD (+0,22%)
$MDLZ (-0,04%)
$PEP (-1,21%) and $MRK (-2,12%) and again $MCD (+1,19%) :)

For me, this year was the “Year of Rebalancing.”

My strategy is simple: I invest in sound companies whose stocks have taken a hit… mostly

In addition to the financial figures, which, of course, should be in order, I look at the dividend yield. If it’s historically particularly high and is the business still sound, it will be . I want to buy in at a low price and secure a high YoC . That company’s of the company should then take care of the rest.

Stocks with dividend growth can certainly deliver good price gains. Investors who dividend consistently significantly must also increase its profits and its cash flow increase increase.

Otherwise, at some point, more will be distributed than is earned.

If the company grows organically and also regularly buys back its own shares, these are good conditions for rising stock prices in the long term.

Be that as it may. I sold shares that I’d held for several years. Some were in the black, others, of course, in the red. I reinvested part of the proceeds into new companies.

I always say “scale up”...—no idea if that makes sense 😆

Goals?

I don’t know. I had goals. Now I just want to be better every day than I was yesterday.

Even if things don’t go so well one day, I’ll still stick with it. Even if it’s only 10%... 10% is better than 0%. The compound interest is a part of in life.

I also believethat there is happiness exists. But who works at it works at it every day increases the chanceof finding that one lucky day . Because it’s on that very day active on that very day.

You shape your own destiny!

And what I also find important :

Always be grateful, no matter what.

We’re lucky to be able to build a financial foundation. We must never take that for granted.

With that in mind! Stick with it, no matter what... Fighter’s instinct 🗻

❗️This is not investment advice❗️

The image is AI-generated :)

Hello, friends of joyful investing,

I’d like to share another milestone with you—one that came sooner than expected:

The portfolio has surpassed the 400k mark.

First off: This is just a snapshot. Markets aren’t a one-way street, and things can easily swing back in the other direction. Still, I’m happy about it and am consciously savoring the moment.

My strategy: Quality Growth with a strong moat

I continue to follow a quality growth approach. I look for companies with

• a strong, hard-to-attack moat (network effects, switching costs, technology leadership, market standards),

• high and stable margins that demonstrate the business model’s pricing power,

• high return on equity and the ability to profitably reinvest earnings,

• tailwinds from global megatrends such as AI, the cloud, cybersecurity, the digitization of payments, and healthcare.

My goal is actually quite simple: to invest in outstanding companies and then watch them grow as compounders over the years. Trade less, hold more.

Deliberately Concentrated

The concentration in the portfolio is intentionally high. I am convinced that companies like $NVDA (-2,34%), $GOOGL (-0,22%) , $MSFT (+0,19%) , $META (-1,01%) , $AMZN (-0,25%) , $AVGO (-1,2%) , $CRWD (-2,63%) , $ANET (-5,25%) and $ASML (-0,26%) will continue to benefit significantly from these megatrends in the future. This is complemented by high-quality companies with near-monopoly positions such as $V (+1,58%) , $MA (+1,5%) , $SPGI (+3,46%) , $MCO (+3,35%) and $CTAS (+1,55%) , which consistently deliver high margins.

Conclusion

Patience and conviction pay off when you invest in the right companies.

I’m sticking to my strategy and seeing how things play out.

What do you think: focus on quality, or is a broad diversification better? I look forward to hearing your thoughts!

$META (-1,01%) on Monday Muse Wonder and Muse Wonder Full on Monday and calls them his first Frontier models —in other words, the first generation that the company considers to be on par with the industry’s best.

Meta offers access in two ways:

Developers who build their own applications on the (Muse Wonder) book it through an API and pay based on the amount of text processed, calculated in tokens. The more powerful Wonder Full is available exclusively as a subscription in Meta’s own programming tool Muse Code. It is available for $50per month and, at the premium level, for $200per month, each with its own usage limits.

A comparison of token prices:

• Muse Wonder:
  $4 per million input tokens, $20 per million output tokens
• Claude Opus 5.5:
  $4 and $20 (identical)
• Muse Spark 1.3, Meta's predecessor from early September: $1.25 and $4.25

In Meta’s own benchmark table, "Wonder" 9 out of 14 measurements to Opus 5.5. It leads in modifying existing code and in memory retention across multiple conversations. It trails in the independent overall ranking, in recreating complete programs, and in operating a computer.

Limitation: Meta itself has not provided Meta itself and describes them as “best-effort”. Model sizes and training effort therefore remain unpublished.

Overall , these models cost the same as Opus but perform slightly worse.

However, this can be seen as Meta’s first step toward properly monetizing its models and computing power and thereby taking on the competition.

Sources:

https://about.fb.com/news/2026/10/introducing-muse-wonder-models/

https://research.meta.ai/static/muse-wonder-model-card

$MSFT (+0,19%)$GOOGL (-0,22%)

Hi,

September marks the end of the third quarter. I always feel like a lot happens in the fourth quarter. Winter starts, winter tires need to be put on, Christmas preparations, New Year’s Eve preparations, the last few days of vacation are coming up, and in December I’m somehow constantly attending birthday parties anyway. So for me, the fourth quarter just flies by.

But let’s take a look at the performance first.

📈 Performance:

S&P 500: +2.90%

MSCI World: +1.89%

DAX: -4.03%

Dividend portfolio: -2.23%

My top and bottom performers in September were (Top/Flop 3):

🟢 ($TXN (-1,8%) ) Texas Instruments +10.17%

🟢 ($PETR4 (+0,78%) ) Petroleo Brasileiro +8.83%

🟢 ($8001 (+0,48%) ) Itochu +8.66%

🔴 ($O (+0,24%) ) Realty Income -8.86%

🔴 ($HD (+3,64%) ) Home Depot -10.37%

🔴 ($MC (+3,4%) ) LVMH -13.96%

Dividends:

September 2026: €247.58

September 2025: €223.22

Change: +10.91%

Sales:

🟥 None

Purchases:

🟩 ($MCD (+1,19%) ) McDonald’s (€428)

🟩 ($DTE (+1,09%) ) Deutsche Telekom (€371)

🟩 ($HD (+3,64%) ) Home Depot (€261)

Savings plans:

($CTAS (+1,55%) ) Cintas (€50)

($MSFT (+0,19%) ) Microsoft (€25)

What else has been going on?

The heating bill is finally paid; the company deducted the repair costs, so the bill for the solar panel system is now a thing of the past. In September, I also took two weeks off, including a four-day mini-vacation in Croatia. That was really needed, since my last extended vacation was already a year ago. The four days in Croatia were also very refreshing, and it was nice to be back there after about 25 years.

Other than that, not much has happened.

Things won’t get exciting again until October, when the next big vet bill is due. Before my vacation, my boss told me I’d be getting a performance-based bonus. I didn’t even know such a thing existed, but I was really happy about it. I guess that money will end up going toward the vet bill, though.

🥅 Goals for 2026:

I’m trying to reach €85,000 in my dividend portfolio this year. Currently, I’m at around €82,391. I expect to receive about €464 in net dividends this year (according to getquin). So I’m still about €2,500 short. That’s definitely going to be a huge challenge. Maybe the last few months will go better for me again—then it should be doable.

If you enjoyed this post and would like to read more like it, feel free to follow me;

if you’re not interested, feel free to scroll past or use the block feature.

Hi everyone,

I often read posts here where people ask for feedback, but the story behind them is missing. That’s why today I’d like to share my own portfolio—and my story—in a completely transparent way.

A little about me:

I’m 31 years old and have been active on GQ for quite some time. My current net worth of just under 1.28 million euros is the result of my own hard work. Even as a child, I would occasionally try out potentially profitable business ideas on the side to earn some money—and six years ago, I took the plunge into self-employment.

I now have two companies in different industries. It became clear to me quite early on that I needed a high, recurring active income if I wanted to build up a certain level of wealth, so I left my full-time job fairly early on.

For the next 12 months, I’m planning on a monthly income of approximately 30,000 euros. In addition, I naturally have recurring income, which can fluctuate up or down over the long term.

My goal is to continue growing this wealth prudently so that I can eventually live entirely off the dividends. Currently, for tax reasons, I hold portions of two stocks ($MSFT (+0,19%) and $NOVO B (+2,74%) ) are held as individual positions in my holding account, and the rest is held in my personal account.

My Strategy and the Core of the Portfolio

I follow a classic core-satellite approach. The core—which I intend to use later as a kind of pension substitute—consists of two ETFs: the $HMWO (-0,12%) and the $QQQ. (-0,47%) I’m aware that these two holdings overlap; I continue to contribute to both monthly via a savings plan.

The individual stocks and my problem children

When it comes to individual stocks, I look for a combination of long-term trends and reliable cash flow. On the one hand, I deliberately overweight tech stocks and future classics such as $MSFT (+0,19%) , $GOOGL (-0,22%) , $NVDA (-2,34%) , $META (-1,01%) , $AMZN (-0,25%) and $AAPL (-0,85%) , because I am firmly convinced that these industries will continue to perform well in the coming years.

For my dividend strategy and the necessary cash flow, I’ve invested in quality stocks such as $ALV (+1,68%) , $MUV2, $NOVO B (+2,74%) and $UNH (+2,49%) in my portfolio. This is complemented by classic dividend-paying stocks such as $BATS (+2,08%) , $SIE (-1,12%) , $ARCC (+1,27%) and $O (+0,24%).

But let’s be honest: values like $MPW (+1,87%)
$PYPL (+0,96%) , $BAYN (-0,99%) or gambling $LILM aren’t performing at all as once hoped.

In the crypto sector, $BTC (-0,46%) as the largest holding, along with a small amount of $SOL (-0,92%) and $XRP (-0,82%) the whole thing—in the future, I’ll consolidate everything into the position $BTC (-0,46%) and add a little $4GLD (+0,79%) to it.

What’s Next

At the end of this month, I’m expecting a large incoming payment of around 50,000 euros. I’d like to split the amount and invest it both in the $HMWO (-0,12%) as well as specifically into my dividend stocks to further strengthen the foundation.

The goal is to reach a portfolio value of 1.5 million by the end of the year.

Feel free to share your thoughts—I look forward to the discussion :-)

Slows down Dario Amodeis Is the call for a slower pace in AI now hampering the industry’s growth? The Anthropic CEO called for this over the weekend in his essay “We Must Pace the Frontier”—to deliberately slow the advancement of AI model capabilities— OpenAI CEO Sam Altman and xAI CEO Elon Musk publicly agreed within hours.

Amodei’s core argument: Recursive self-improvement and security incidents such as the OpenAI Hugging Face incident showed that the models’ capabilities are growing faster than the ability to control them. His three-step plan begins with independent auditors working directly within the companies. By this, he means not
halt to training, but rather more time for safety work to proceed in parallel with progress.

Why many see this as a brake on growth

Within the community, the call is being interpreted as a warning sign regarding the AI industry’s high growth rates. A slower pace in the release of new models could dampen demand for fresh computing power and thus weigh on the valuations of AI companies and Neoclouds. Coinciding with the announcement, market prices for Anthropic and OpenAI shares fell.

Why this misses the actual driver of growth

Amodei’s appeal targets the training of new models—and it is precisely this part of the AI value chain that is now the smaller and shrinking segment. According to Deloitte, by 2026, around two-thirds of global AI computing power will be directed toward inference (the ongoing operation of already trained models).

And it is precisely this demand for inference that is growing faster than ever before:

• $GOOGL (-0,22%)-Cloud order backlog: from $240 billion to $460 billion within one quarter
• Tokens processed by Google: 16 billion per minute, an increase of 60% compared to the previous quarter
• $MSFT (+0,19%): AI order backlog increased more than twelvefold
• GPU rental prices have grown from ~10 million/MW in early 2026 to as much as ~40–50 million/MW today

So the real bottleneck remains computing power itself, not the political will to slow things down. Microsoft and Google each have investment budgets of around $180–190 billion just to meet demand at all. Training pacing is unlikely to make much of a difference to this scarcity as long as current models are already so powerful for users that demand for their use continues to grow.

Overall , the appeal seems more like a shift in priorities—away from a pure race for capabilities and toward greater safety and control. In my opinion, it is wrong to believe that this will act as a brake on the entire AI value chain.

The largest and fastest-growing part of it—inference—remains virtually untouched by the debate.

This announcement could also come at a strategically opportune time: Training new frontier models costs a great deal of money (tens of billions per model). A deliberately slowed pace would alleviate precisely this cost burden and improve the profitability of Anthropic and OpenAI, just before both are set to make potential IPOs . This safety call—which, incidentally, protects their own balance sheets—comes at just the right time for the model providers.

What are your thoughts on this?

$IREN (+0,15%)$NBIS (+0,44%)$NVDA (-2,34%)$AMZN (-0,25%)$AMD (-2,13%)$WULF (+9,6%)$ORCL (+2,12%)$CSNDX (-0,7%)$AVGO (-1,2%)$SPCX (-2,4%)$PLTR (-0,35%)$META (-1,01%)$CRWV (+5,04%)$DELL (-6,89%)$BE (-0,7%)$MU (+1,5%)

Sources:

https://darioamodei.com/post/we-must-pace-the-frontier

https://www.deloitte.com/global/en/about/press-room/2026-tmt-predictions.html

$MSFT (+0,19%)