Puestos
1004Heyy,
I would like to focus more on growth and therefore sell the $FGEQ (-0,74 %)
Nevertheless, I value dividends for the visual incentive 😉.
I am therefore considering changing the weighting of my ETFs.
Please let me know your opinions and views on this. 💡
New strategy:
$IWDA (-0,01 %) 40%
$TDIV (-0,01 %) 40%
Individual shares remain at:
$NVDA (-0,14 %) 10%
$V (+0,47 %) 5%
Hey everyone 👋
I'm 21 and have been investing since the end of last year. My goal is to build a solid portfolio over the long term and learn as I go. I'm happy to receive feedback, tips or food for thought on my strategy - everything helps to get better! 💡
About the strategy/target weighting:
Base/dividends:
$IWDA (-0,01 %) to 30%
$TDIV (-0,01 %) to 30%
$FGEQ (-0,74 %) to 20%
Individual shares as an additional boost:
$NVDA (-0,14 %) 10%
$V (+0,47 %) 5%
I invest €400 per month towards the target weighting.
Hello 😃
I am 21 years old and have a monthly savings rate of around €800.
to the deposit:
My basis (40% of the total portfolio) is the $VWRL (+0,01 %) 60%, $TDIV (-0,01 %) 20%, and 10% each $EWG2 (+0,35 %) & $BTC (+0,01 %)
My additional booster/grow (30% of G.) make up
20% each $NVDA (-0,14 %)
$AVGO (+0,09 %)
$AMZN (-0,39 %)
15% each $STLAM (-1,04 %)
$AER (+2,36 %)
-) then 5% each should be added $IDCC (+0 %) and $CBRAIN (-7,04 %) (I consider these to be very exciting companies)
the remaining companies form my "long-term portfolio" (30% of the total). (these are to be held for the long term)
Hey everyone 👋
I'm 21 and have been investing since the end of last year. My goal is to build a solid portfolio over the long term and learn as I go. I'm happy to receive feedback, tips or food for thought on my strategy - everything helps to get better! 💡
About the strategy/target weighting:
Base/dividends:
$IWDA (-0,01 %) to 30%
$TDIV (-0,01 %) to 30%
$FGEQ (-0,74 %) to 20%
Individual shares as an additional boost:
$NVDA (-0,14 %) 10%
$V (+0,47 %) 5%
I invest €400 per month towards the target weighting.
The hype is all about humanoid robots, but the constant winners are in the background.
I have divided the analysis into two perspectives. 1. the complete value chain of humanoid robots, which shows all the players from the chip to the finished robot, and 2. the blade manufacturers in the background, who always earn money as enablers, regardless of which manufacturer wins the race.
ASML, Applied Materials and Tokyo Electron dominate in manufacturing technology. Quality assurance comes from Keysight, Advantest and Teradyne. Chip design is supported by Synopsys, Cadence and ARM. Data streams are secured by Arista Networks, Cisco and Equinix. The computing basis is created in the cloud by Amazon, Microsoft and Alphabet. Albemarle, Lynas and Umicore play a central role in raw materials and battery materials. These companies monetize their customers' investment waves, have high barriers to entry, service revenues and pricing power, but remain cyclical with risks from export rules, capex cuts and currency movements.
🌐 Value chain of humanoid robots Sector overview
1. research & chip design (IP / EDA)
$ARM (+2,23 %)
ARM Holdings (ARM, UK/USA) - CPU architectures
$SNPS (-0,95 %)
Synopsys (SNPS, USA) - Chip design software
$CDNS (+1,11 %)
Cadence Design Systems (CDNS, USA) - EDA & Simulation
2. manufacturing technology & equipment
$ASML (-1,39 %)
ASML (ASML, NL) - EUV lithography, key monopoly
$AMAT (-0,2 %)
Applied Materials (AMAT, USA) - Process equipment
$8035 (-3,37 %)
Tokyo Electron (8035.T, JP) - Wafer equipment
$KEYS (+1,98 %)
Keysight Technologies (KEYS, USA) - Test & RF measurement technology
$6857 (+1,97 %)
Advantest (6857.T, JP) - Semiconductor test systems
$TER (-0,22 %)
Teradyne (TER, USA) - Test systems + robotics (Universal Robots)
3. chip production (Foundries)
$TSM (-0,2 %)
TSMC (TSM, TW) - Largest contract manufacturer
$005930
Samsung Electronics (005930.KQ, KR) - Memory + Foundry
$GFS (-0,74 %)
GlobalFoundries (GFS, USA) - Specialized production
4. computing & control unit ("brain")
$NVDA (-0,14 %)
Nvidia (NVDA, USA) - GPUs, AI accelerators
$INTC (+0,45 %)
Intel (INTC, USA) - CPUs, FPGAs
$AMD (-0,8 %)
AMD (AMD, USA) - CPUs/GPUs
$MRVL (+0,49 %)
Marvell Technology (MRVL, USA) - Network/data center chips
5. sensors ("senses")
$6758 (-0,94 %)
Sony (6758.T, JP) - CMOS image sensors
$6861 (-0,23 %)
Keyence (6861.T, JP) - Vision systems, sensors
$STM (+0 %)
STMicroelectronics (STM, CH/FR) - MEMS sensors
6. actuators & power electronics ("muscles")
$IFX (-0,84 %)
Infineon (IFX, DE) - Power semiconductors, SiC
$ON (-0,92 %)
N Semiconductor (ON, USA) - SiC/Power Chips
$STM (+0 %)
STMicroelectronics (STM, CH/FR) - Motor control & power
$TXN (+0,57 %)
Texas Instruments (TXN, USA) - Motor control, power ICs
$ADI (+1,92 %)
Analog Devices (ADI, USA) - Energy & BMS chips
7. communication & networking ("nerves")
$QCOM (-0,11 %)
Qualcomm (QCOM, USA) - 5G/SoCs
$AVGO (+0,09 %)
Broadcom (AVGO, USA) - Network & radio chips
$SWKS (-0,43 %)
Skyworks Solutions (SWKS, USA) - RF components
8. energy supply
$300750
CATL (300750.SZ, CN) - Batteries
$6752 (-0,02 %)
Panasonic (6752.T, JP) - Batteries for automotive/robotics
$373220
LG Energy Solution (373220.KQ, KR) - Batteries
9. cloud & infrastructure
$AMZN (-0,39 %)
Amazon (AMZN, USA) - AWS
$MSFT (+0,14 %)
Microsoft (MSFT, USA) - Azure
$GOOG (+0,66 %)
Alphabet (GOOGL, USA) - Google Cloud
$EQIX (-1,09 %)
Equinix (EQIX, USA) - Data center operator
$ANET (+0,84 %)
Arista Networks (ANET, USA) - Network infrastructure
$CSCO (+0,25 %)
Cisco Systems (CSCO, USA) - Edge & Data Center Networks
10. software & data platforms
$PLTR (-0,48 %)
Palantir (PLTR, USA) - Data integration, decision software
$DDOG (+1,04 %)
Datadog (DDOG, USA) - Cloud monitoring / observability
$SNOW (+0,38 %)
Snowflake (SNOW, USA) - Cloud-native data platform
$ORCL (-0,43 %)
Oracle (ORCL, USA) - Databases, ERP
$SAP (-0,83 %)
SAP (SAP, DE) - ERP/cloud systems
$PATH (-0,43 %)
UiPath (PATH, USA) - Automation software (RPA)
$AI (-0,34 %)
C3.ai (AI, USA) - Enterprise AI platform
11. end applications / robots
$ABB
ABB (ABB, CH) - Industrial robots
$6954 (-1,08 %)
Fanuc (6954.T, JP) - Industrial robots, CNC
$TSLA (-0,69 %)
Tesla (TSLA, USA) - Optimus" humanoid robot
$9618 (+0,45 %)
JD.com (JD, CN) - E-commerce & automated logistics
🛠️ Shovel manufacturer for humanoid robots
🔹 Hardtech (physical "shovels")
These companies provide the material basis: manufacturing machines, raw materials, semiconductor base.
Semiconductor Equipment & Manufacturing
$ASML (-1,39 %)
ASML (ASML, NL) - EUV lithography (monopoly).
$AMAT (-0,2 %)
Applied Materials (AMAT, USA) - Wafer equipment.
$8035 (-3,37 %)
Tokyo Electron (8035.T, JP) - Process equipment.
Test systems (hardware-side)
$6857 (+1,97 %)
Advantest (6857.T, JP) - Semiconductor test.
$TER (-0,22 %)
Teradyne (TER, USA) - Test systems + industrial robots.
Materials & raw materials
$ALB (+0,95 %)
Albemarle (ALB, USA) - Lithium (batteries).
$LYC (+6,22 %)
Lynas Rare Earths (LYC.AX, AUS) - Rare earths for magnets.
$UMICY (-1,82 %)
Umicore (UMI.BR, BE) - Cathode materials, recycling.
🔹 Soft/infra (digital "shovels")
These companies supply the infrastructure & toolswithout which development, training and operation would be impossible.
Design Software & IP
$SNPS (-0,95 %)
Synopsys (SNPS, USA) - EDA software.
$CDNS (+1,11 %)
Cadence Design Systems (CDNS, USA) - Chip design & simulation.
$ARM (+2,23 %)
ARM Holdings (ARM, UK/USA) - CPU architectures (license model).
Test & Measurement (software/signal level)
$KEYS (+1,98 %)
Keysight Technologies (KEYS, USA) - Electronics & RF test systems.
Network & data center backbone
$ANET (+0,84 %)
Arista Networks (ANET, USA) - High-speed networks.
$CSCO (+0,25 %)
Cisco Systems (CSCO, USA) - Data center/edge networks.
$EQIX (-1,09 %)
Equinix (EQIX, USA) - Data centers (colocation).
Cloud infrastructure
$AMZN (-0,39 %)
Amazon (AMZN, USA) - AWS (cloud, AI training).
$MSFT (+0,14 %)
Microsoft (MSFT, USA) - Azure.
$GOOG (+0,66 %)
Alphabet (GOOGL, USA) - Google Cloud.
Takeaway: Investing in the infrastructure stack allows you to participate in the robotics trend regardless of the subsequent product winner and reduces the individual product risk, but you have to live with cycles. In your opinion, which stage of the chain offers the best risk/return combination and fits into a disciplined portfolio?
Source: Own analysis based on publicly available company information and IR materials of the companies mentioned.
Alphabet – More Than Just Search
A few months ago, many people predicted Google would become the new Kodak. Articles were written with the most terrifying headlines, calling for the end of Google’s moat and the takeover of AI. ChatGPT and friends were supposed to conquer the search business and take market share from Google.
What has happened since then? Exactly the opposite. The search business has expanded. These transitions always take time – if, and that’s a big if, they take place at all. It was obvious six months ago, and it’s obvious now, that AI won’t dominate search in the coming years – at least not the competition’s models.
Google is advancing rapidly in building new tools and models. AI integration is a key strategy in retaining customers, by simplifying and simultaneously enhancing search outputs. The tech giant is doing everything right at the moment to keep its position. We’ll see whether its monopoly will be broken up by a judge soon, though a forced sale of Chrome still seems rather unlikely.
So far, I’ve only touched on the core business, but let’s not forget that Google is way more than just search. It’s YouTube, Android, Cloud, Waymo, and much more. All of these segments are extremely interesting.
YouTube is more than just the largest streaming platform – it’s a media behemoth. Almost half of the internet’s population uses YouTube monthly. In the U.S., the platform accounts for roughly 12% of all TV consumption.
Google Cloud is expanding rapidly and closing in on its older brothers, AWS and Azure. Waymo is a bet on the future of autonomous driving. It’s leading in this industry, and the partnership with Uber seems to bear fruit. Tesla can only dream of a comparable rollout.
I will be watching Google closely and consider an entry around $160–$170 levels, which I guess is likely if we see a broader tariff-related drawdown.
Amazon – The Titan with Potential
Amazon has always been thought of as the e-commerce behemoth, but its real crown jewel is AWS. This segment is responsible for Amazon’s profits, and cloud computing is one of the fastest-growing and most important industries in a modern, AI- and internet-dominated world. AWS is ahead of its notable competitors, Microsoft Azure and Google Cloud.
A very interesting development is Amazon’s announcement to start delivering food and groceries, similar to Uber and DoorDash. This news didn’t just cause the stocks of established companies in that field to drop – it also represents a great opportunity for Amazon to leverage its immense network and take a bite out of the competition.
In my opinion, Amazon is a great company with potential, assuming execution works well and high-margin segments like AWS continue their growth trajectory. I will add around $190–$200 levels.
$GOOGL (+0,67 %)
$GOOG (+0,66 %)
$AMZN (-0,39 %)
$MSFT (+0,14 %)
I am looking to sharpen my knife and trim my portfolio down to only 15 stocks. Which stocks would you suggest I cut/sell and which ones would you put more emphasis on? Let me know in the comments!
Over the years, I’ve sharpened my strategy down to a focused portfolio built on true compounders. Here’s what guides my stock picking:
here’s my current holdings:
Ciao everyone, I’m building for a 20 year horizon with no need for liquidity, so I’ve shaped the portfolio to be very growth oriented. Right now it looks like this:
Broad ETFs – 23.7%
Sector ETFs – 31.1%
Crypto ETPs – 24.6%
Stocks – 20.6%
I’d love your input: does it make more sense to sell $CSNDX (+0,03 %) (Nasdaq) and redistribute into $IWDA (-0,01 %) plus my stock picks, or to sell most of the individual stocks and simply keep $CSNDX (+0,03 %) to reduce overlap and simplify the portfolio? I’ve also decided to cap crypto at 25% to keep volatility in check, but do you think it makes sense to fine-tune the allocation inside crypto, or just leave it as it is?
Bill Ackman’s Pershing Square just boosted its $GOOGL (+0,67 %) position by 21% and disclosed a new $1.28B stake in $AMZN. (-0,39 %)
The cloud is the ultimate cost transformation:
From expensive on-premise hardware + highly specialized personnel → to scalable, automated services in a subscription model.
Companies such as AWS, Google Cloud or Azure benefit twice over:
The result:
🔹 Customers reduce CAPEX, increase flexibility
🔹 Providers generate predictable, high-margin sales
In the long term? Extremely bullish for any serious cloud player. $AMZN (-0,39 %)
$GOOGL (+0,67 %)
$MSFT (+0,14 %)
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