$GOOGL (-0,15%)
$GOOG (-0,31%)

I’m also keeping Alphabet in my 2036 portfolio.

Investing.com – Alphabet plans to launch its artificial intelligence (AI) chips into Earth’s orbit on Thursday using a SpaceX Falcon 9 rocket. This is part of efforts to build data centers in space.

The launch is scheduled for 11:15 a.m. PT from Vandenberg Air Force Base in Santa Barbara County, California.

$SPCX (-2,4%)
$PL (+4,38%)

As part of the uncrewed Transporter-18 mission, SpaceX will transport satellites from Planet Labs, including a solar-powered prototype equipped with Google’s Tensor Processing Units (TPUs). The mission marks the first in-orbit test for Alphabet’s “Project Suncatcher,” an initiative the company first announced in November 2025.

According to Alphabet, “Project Suncatcher” aims to investigate whether space can host an infrastructure for machine learning. The company plans to develop a solar-powered AI computing infrastructure designed for continuous operation in space.

Alphabet holds a stake in SpaceX valued at over $82 billion.

In low Earth orbit, Alphabet says, satellites can access nearly constant sunlight and generate up to eight times more solar energy than on Earth. The company expects to eventually network multiple satellite constellations to handle larger AI workloads in orbit.

Alphabet has already tested its Tensor Processing Units, which execute AI workloads, at a facility at the University of California, Davis. However, it remains unclear how the chips will perform under the conditions of low Earth orbit.

SpaceX has announced plans to build and launch its own orbital data centers based on satellite swarms developed in Redmond, Washington. The satellites are to be equipped with graphics processing units and solar panels that SpaceX plans to produce in collaboration with Tesla.

$TSLA (-1,87%)

Earlier this year, Elon Musk stated that data centers in space would become the most cost-effective method for AI training within two to three years. Gwynne Shotwell, SpaceX’s chief operating officer, said at an event in September that the company would deploy supercomputing capabilities in space by 2027.

Alphabet schickt KI-Chips mit SpaceX-Rakete ins All

Let’s go—I finally hit the next 10k milestone.

I’ll repost when I hit 50k (hope it doesn’t take too long😃).

My DCA is currently at 800€ + reinvested dividends.

$VWRL (-0,02%) 400€

$VHYL (+0,5%) 100€

$GOAI (-0,6%) €25

The rest goes into my satellite funds.

$GOOG (-0,31%) €35

$AMZN (-0,32%) 35€

$O (+0,44%) 25€ + dividend

$MAIN (+0,71%) €15 + dividend

and a few more😃

SanDisk $SNDK (+0%) up 28 percent, Western Digital $WDC (-1,44%) down 18 percent. Both in the same sector, in the same month. My model didn’t react to either of these movements, yet at the end of the month it was still up 3.03 percent.

August had two sides. At the beginning of the month, mild inflation data was released, and the S&P 500 hit an all-time high of 7,816 points on August 13. After that, sentiment on the bond markets shifted. The 30-year U.S. yield rose to its highest level in nearly twenty years, and U.S. gross debt exceeded forty trillion dollars. At the end of the month, Nvidia reported $NVDA (-1,53%) quarterly revenue of 96.2 billion, an increase of 106 percent. The next day, Fed Chairman Warsh signaled a pause in Jackson Hole, and the market priced in an interest rate hike in September.

📊 Monthly performance: +3.03%

📊 Max. Performance: 16.1%

📊 Price as of Aug. 31: €116.85

📊 Next Rebalancing: October 1, 2026

Performance & Comparison 🚀

August was a positive month for all major indices. The Nasdaq led the way, driven by Nvidia. The model performed in the middle of the pack and outperformed the broad indices.

Performance Comparison (August 1–August 31, 2026, end of day):

Global Quant 6-Factor: +3.03%

NASDAQ 100: +3.57%

S&P 500: +2.74%

FTSE All-World: +2.27%

DAX: +2.03%

Purchases & Sales 💶

None. The model trades only quarterly; the last rebalancing took place on July 1. Nothing happens between those dates, even if individual positions diverge significantly. That is precisely the point of the rules. The next rebalancing is scheduled for October 1, when a larger portion of the portfolio will be replaced.

Top Movers in August 🟢

The month belonged to gold mining stocks. Over the course of the month, gold rose at times to nearly $4,700, reaching its highest level since May. By the end of the month, it had given back some of those gains. The move was driven by a weaker dollar combined with ongoing central bank purchases. Mining stocks react to this with leverage because their margins rise disproportionately. Coeur Mining $CDE (+2,95%) topped the list with +35.68%, followed by Newmont $NEM (+3,03%) at +33.60% and Endeavour Mining at +28.33%. Fresnillo $FRES (+1,19%) rose +26.63%. All four have been in the portfolio since the spring. In addition, the storage stocks performed well. SanDisk $SNDK (+0%) rose by +28.07%, and Micron $MU (+2,51%) by +12.50%.

August’s Biggest Losers 🔴

AppLovin $APP (+5,92%) suffered the biggest loss at -20.78%. Western Digital $WDC (-1,44%) fell -18.77%, while SanDisk gained nearly thirty percent over the same period. Comfort Systems $FIX (-3,63%) fell by -13.00%, and Merlin Properties $MRL (-6,87%)
-9.79%. Among financial stocks, the decline was limited; HSBC $HSBA (-0,54%) lost -5.05%. Alphabet $GOOG (-0,31%) fell -4.18%.

Conclusion 💡

August demonstrated the value of a diversified portfolio. While technology stocks diverged and AppLovin fell 20 percent, gold mines carried the month. None of these positions are in the portfolio based on personal opinion; they’re there because the ranking placed them at the top. October 1 will be interesting because a large portion of the commodity stocks are on the sell list.

❓ Question for the Community

Did the volatility in August make you get cold feet, or did you stubbornly hold onto your positions? And how much gold do you currently have in your portfolio?

👇 Let us know in the comments!

➡️ Every month, you’ll find the full Wikifolio update here, along with research from the model in between.

🗞️ Newsletter: codeandcapitalquant.beehiiv.com

📈 Wikifolio: https://www.wikifolio.com/de/de/w/wf0gquant6

$DE000LS9V052 (-0,77%)

In the latest episode of the Doppelgänger Tech Talk podcast (588), there was an extremely intriguing theory about Anthropic’s upcoming IPO and the potential ripple effects for OpenAI.

Here’s a summary of the key points from the discussion (written by Claude, reviewed by me 🤓):

1. Anthropic’s IPO Move

Anthropic is reportedly aiming for an IPO with a valuation of up to $2 trillion. Whether that figure is realistic remains to be seen—but the timing is strategically extremely clever. Anthropic is in a cleaner position structurally and financially (or has at least disclosed fewer unprofitable, dead-weight structures) than OpenAI.

If they go public as the first pure-play AI-SaaS company, they’ll set the valuation benchmark for the entire sector.

2. The Trap for OpenAI

For OpenAI, this move could become a problem:

• Hard numbers instead of hype: An IPO forces transparency (S-1 filing). Once the actual margins, capital expenditures (CapEx), and massive losses of model providers are exposed on the public market, OpenAI will have to be judged against these realities.
• Sales Struggles: OpenAI is already struggling with commercial execution (it recently replaced its second head of sales within a year).
• Valuation Setback: If OpenAI fails to meet the astronomical valuation expectations in its own IPO, the foundation of its equity fundraising will crumble.

3. The Domino Effect: Data Centers & CapEx

OpenAI has massive infrastructure commitments and data center projects (including within the Nvidia ecosystem and with Microsoft) in the pipeline.

If raising capital through the capital markets doesn’t go as hoped, there simply won’t be enough money for hardware, energy, and computing power. Without computing power, training the next generations of models will stall—and the technological lead threatens to melt away.

--- End of Claude ---

💬 Question for the group:

If OpenAI actually finds itself in a fundamental funding crisis because its cost structures are too unprofitable for the public market and the billion-dollar infrastructure promises become unaffordable due to a) no IPO or b) no more funding rounds—Anthropic comparison... fresh off the press: $NVDA (-1,53%) cuts funding commitments from 250 billion to 120 billion

https://www.heise.de/news/Nvidia-will-Milliardenrisiko-bei-OpenAIs-Rechenzentrum-begrenzen-11415946.html

Is this a realistic scenario, and if so, are we facing the “dot-com moment” of the AI markets, will the CapEx bubble surrounding Nvidia & Co. burst, or will the Big Tech cash flow giants like $META (-0,72%)
$MSFT (+0,44%)
$GOOG (-0,31%) take the helm? Will $AAPL (-1,17%) just buy OpenAI from the sidelines?

Let’s take a look into the crystal ball 🔮

On July 1, the second rebalancing of my Wikifolio took place—a rule-based portfolio with 30 equally weighted positions that has been running since March 13. Nine positions out, nine in. I had expected this to shift the structure. When I checked the numbers, almost everything was the same as before.

A quick note on how it works

A Python scanner evaluates approximately 845 stocks from 14 indices daily based on six factors. Those that make it into the top 25 are purchased. Those that fall below rank 40 are removed. Quarterly adjustments, no sector allocation, no discretion.

What was dropped:

• 4 tech stocks: Applied Materials $AMAT (-3,39%) (+92%), KLA-Tencor $KLAC (-2,52%) (+90%), Broadcom $AVGO (-0,85%) , Amphenol $APH (-1,44%). Not because of earnings, but because the valuation could no longer keep up with the share price and the stock’s ranking plummeted.

• 5x Finance: ING $ING (-0,33%), Jyske Bank $JYSK (-1,05%), Unicaja $UNI (+0,31%), Baader Bank $BWB (+0%), Nu Holdings $NU (-1,42%).

New additions:

• ASML $ASML (+0,03%), Alphabet $GOOG (-0,31%), SanDisk $SNDK (+0%), Investor AB $INVE B (+0,29%), BBVA $BBVA (+0,69%), UniCredit $UCG (-0,83%), Monte dei Paschi $BMPS (+0,27%), Banca Mediolanum $BMED (+0,57%), Swedbank $SWED A (-1,17%).

The interesting part

Micron $MU (+2,51%) stayed in the portfolio, up over 100 percent. The score held, and the ranking remained higher. A system that sells based on profit would have kicked Micron out first. The model treated these three big winners completely differently because it doesn’t know the purchase price at all.

And on the other hand:

SanDisk $SNDK (+0%) was added that same evening, at 1,820 euros. The stock had already been on the buy list in April but wasn’t tradable at the time. Today, the position is down about 50 percent. The timing could hardly have been worse.

The sector breakdown before and after

Technology fell from 30 to 23.3 percent, financials rose from 36.7 to 40. Materials remained at 16.7.

A factor model does not distinguish between sectors. It sorts by score, and stocks in the same sector often receive similar scores because they are influenced by the same drivers. If one falls below rank 40, there is a high probability that another from the same sector is ready to take its place in the top 25. The model captures gains and returns to the same sector, just with different names.

My Conclusion

One quarter doesn’t prove anything. I don’t have a sector cap in the model because my backtest doesn’t have one either.

Next rebalancing: October 1.

Who among you uses a rule-based approach and has a sector cap in place?

I’m curious to know what percentage cap you use.

– Alphabet continues to describe itself as supply-constrained: Despite massive expansion over the past three years, demand continues to outpace investment.

– The 2026 CapEx guidance has been raised to $195–205 billion (previously $180–190 billion). Another significant increase is expected for 2027.

– In Q3, Alphabet plans to increase its use of third-party capacity – explicitly as a stopgap measure, with expected pressure on the cloud margin

$IREN (+0,15%)$NBIS (+2,01%)$CRWV (+4,86%)

$GOOGL (-0,15%)$GOOG (-0,31%)