Two fund wonder leaning hard on tech rockets and praying gravity never shows up
Report created on Mar 26, 2026Risk profile
4/7
Diversification profile
3/5
Positions
-
VW Vanguard FTSE All-World UCITS ETF USD Accumulation
VWCE - IE00BK5BQT80 80.00% -
XN Xtrackers NASDAQ 100 UCITS ETF 1C
XNAS - IE00BMFKG444 20.00%
This “balanced” portfolio is basically: one big global fund at 80% and one shiny US growth turbo‑charger at 20%. That’s not balance; that’s a normal car with a nitro button duct‑taped on. The structure is simple to the point of laziness: great for maintenance, terrible if what you own is pointed at one style of market. With two funds, you’ve outsourced everything to the index designers and called it a day. The upside: you won’t die of over‑complexity. The downside: when this particular flavor of market goes out of style, there’s nowhere to hide except closing your laptop.
Growth
Historically, the portfolio did fine but not heroic: €1,000 became €1,749 in just over five years, a CAGR of 11.78%. CAGR is basically “average yearly speed” on a long road trip. The US market did better at 13.31%, ending at 1,921, while the global market lagged at 10.83% and 1,711. So you beat the world but got outpaced by the US hype train you half‑hitched yourself to. Max drawdown of –22.36% was slightly better than the US but a bit worse than global. So it behaves like a slightly de‑spiced US growth portfolio. Past data is yesterday’s weather: useful, but it won’t warn you about next decade’s hurricane.
Projection
The Monte Carlo projection simulates 1,000 possible futures based on how this thing behaved in the past — like rerunning the last few years of markets with different dice rolls. Median outcome: +423% in 10 years, which looks amazing until you notice the 5th percentile: –16.7% total (your €1,000 turning into about €833). So, yes, 997 scenarios end positive, but the bad tails still hurt. The model assumes the future roughly rhymes with the past, which is cute but optimistic, especially with such a momentum‑tech‑heavy tilt. Treat the projection as a “maybe” not a promise; otherwise it’s just numerically sophisticated wishful thinking.
Asset classes
- Stocks 100%
Asset classes: 100% stocks, zero of literally anything else. For a “balanced profile” with a 4/7 risk score, this is equity‑junkie behavior. No bonds, no cash buffer, no real diversifiers — just pure “number go up” optimism. That’s fine if the time horizon is long and stomach lining is industrial‑grade, but laughable if someone pretends this is cautiously diversified. Stocks are the drama queens of investing: great long‑term, but they throw tantrums. Without calmer assets in the mix, every tantrum shows up full force in the account. If anyone calls this conservative, they’re selling something.
Sectors
- Technology 31%
- Financials 13%
- Consumer Discretionary 10%
- Telecommunications 10%
- Industrials 10%
- Health Care 8%
- Consumer Staples 6%
- Basic Materials 4%
- Energy 3%
- Utilities 2%
- Real Estate 2%
Sector mix: 31% technology, then a pretty even spread across financials, cyclicals, comms, industrials, healthcare, and so on. So yeah, tech addiction detected. It’s not catastrophic, but it’s definitely the main character. When tech is hot, this looks genius; when tech cools or rates sting growth names, the portfolio will feel slower and more painful than a Monday morning. The rest of the sectors are more like supporting actors than real diversifiers. The lesson: sector spread looks decent on paper, but with one sector clearly steering the ship, the portfolio is still basically along for the tech cycle ride.
Regions
- North America 70%
- Europe Developed 12%
- Japan 5%
- Asia Developed 5%
- Asia Emerging 4%
- Australasia 1%
- Africa/Middle East 1%
- Latin America 1%
Geographically, this is “America or bust with a side salad.” Around 70% in North America, then small scoops of developed Europe and Japan, tiny spoonfuls of Asia and others. For someone in Germany, this is a pretty loud home‑country shrug: you looked at domestic and regional exposure and said “nah, give me Silicon Valley.” It’s a very standard global‑index‑plus‑US‑tilt setup, but that doesn’t make it less lopsided. If US large growth underperforms for a decade — which has absolutely happened before — this portfolio just eats it. Global in label, US‑centric in behavior.
Market capitalization
- Mega-cap 50%
- Large-cap 34%
- Mid-cap 15%
Market cap breakdown is unapologetically big‑kid‑table: 50% mega caps, 34% big caps, 15% mid caps, and small caps basically don’t exist. You’ve bet that the giants will stay giants forever. That’s comfortable, but it also means you’re ignoring the part of the market where future giants are born. Large caps can be less explosive on the downside, but they can also lag when smaller, scrappier companies go on a run. Right now you’ve built an index‑hugging behemoth, not a nimble racer. Safe‑ish vibes in normal times, but don’t expect spicy outperformance without the smaller stuff pulling its weight.
True holdings
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NV NVIDIA Corporation 5.05%
Part of fund(s):- Vanguard FTSE All-World UCITS ETF USD Accumulation
- Xtrackers NASDAQ 100 UCITS ETF 1C
-
AA Apple Inc 4.66%
Part of fund(s):- Vanguard FTSE All-World UCITS ETF USD Accumulation
- Xtrackers NASDAQ 100 UCITS ETF 1C
-
MS Microsoft Corporation 3.51%
Part of fund(s):- Vanguard FTSE All-World UCITS ETF USD Accumulation
- Xtrackers NASDAQ 100 UCITS ETF 1C
-
AM Amazon.com Inc 2.52%
Part of fund(s):- Vanguard FTSE All-World UCITS ETF USD Accumulation
- Xtrackers NASDAQ 100 UCITS ETF 1C
-
GO Alphabet Inc Class A 2.18%
Part of fund(s):- Vanguard FTSE All-World UCITS ETF USD Accumulation
- Xtrackers NASDAQ 100 UCITS ETF 1C
-
ME Meta Platforms Inc. 1.90%
Part of fund(s):- Vanguard FTSE All-World UCITS ETF USD Accumulation
- Xtrackers NASDAQ 100 UCITS ETF 1C
-
GO Alphabet Inc Class C 1.85%
Part of fund(s):- Vanguard FTSE All-World UCITS ETF USD Accumulation
- Xtrackers NASDAQ 100 UCITS ETF 1C
-
AV Broadcom Inc 1.79%
Part of fund(s):- Vanguard FTSE All-World UCITS ETF USD Accumulation
- Xtrackers NASDAQ 100 UCITS ETF 1C
-
TS Tesla Inc 1.71%
Part of fund(s):- LS 1x Tesla Tracker ETP Securities GBP
- Vanguard FTSE All-World UCITS ETF USD Accumulation
- Xtrackers NASDAQ 100 UCITS ETF 1C
-
23 Taiwan Semiconductor Manufacturing Co. Ltd. 1.26%
Part of fund(s):- Vanguard FTSE All-World UCITS ETF USD Accumulation
- Top 10 total 26.43%
The look‑through screams “I love the Magnificent Whatever‑Number‑We’re-On.” NVIDIA 5%, Apple 4.7%, Microsoft, Amazon, Alphabet (twice), Meta, Broadcom, Tesla, TSMC — you basically bought a tech‑mega‑cap fan poster and framed it. Hidden overlap is obvious: AW + NASDAQ means you’re double‑dipping the same US giants. And remember, this is only using top‑10 data, so the real concentration is almost certainly higher. You think you’re owning “the whole world” plus “some extra growth,” but in reality you’ve just cranked up exposure to the same dozen celebrities and called it diversification. When these names sneeze, this portfolio catches pneumonia.
Factors
Factor profile: heavy momentum (48.3%), some value (25%), some size tilt (20%). Factor exposure is the “ingredient list” behind returns — what actually drives behavior. Here you’re basically saying, “I want what’s been winning recently,” which is classic momentum. That works… until it very much doesn’t. Leaning into momentum without a strong quality or low‑vol cushion is like driving fast with decent brakes but no idea how sharp the next corner is. Signal coverage is only 36.7%, so we’re not seeing the whole picture, but what we do see screams trendy growth bias with a thin nod to value. Very fashion‑sensitive.
Risk contribution
-
Vanguard FTSE All-World UCITS ETF USD Accumulation
Weight: 80.00% 74.2% -
Xtrackers NASDAQ 100 UCITS ETF 1C
Weight: 20.00% 25.8%
Risk contribution shows who’s actually rocking the boat. Your 80% Vanguard All‑World is contributing about 74% of risk — fine, it’s the main holding. The 20% NASDAQ slice is punching above its weight, at 25.8% of total risk with a risk‑to‑weight ratio of 1.29. That’s the caffeinated part of the mix, doing more wobbling than its size suggests. With only two positions, the top three holdings accounting for 100% of risk is unavoidably funny. Trimming or adjusting the spicy NASDAQ chunk is basically the only meaningful lever if you want to dial volatility up or down without changing the entire philosophy.
Risk vs. return
This chart shows the Efficient Frontier, calculated using your current assets with different allocation combinations. It highlights the best balance between risk and return based on historical data. "Efficient" portfolios maximize returns for a given risk or minimize risk for a given return. Portfolios below the curve are less efficient. This is informational and not a recommendation to buy or sell any assets.
Click on the colored dots to explore allocations.
On the risk–return chart, your portfolio sits on the efficient frontier, which is the curve of “best trade‑offs possible” using just your current ingredients. So structurally, it’s not dumb; you’re getting a decent deal for the level of risk you’re taking. But it’s not the best you could do with these same funds. The optimal portfolio hits a higher Sharpe ratio (better bang per unit of pain) with slightly lower risk, while a same‑risk optimized version could chase more return by leaning even harder into volatility. Translation: reweighting between the two ETFs could squeeze out a better deal without adding anything new — just sliding the knobs.
Ongoing product costs
- Vanguard FTSE All-World UCITS ETF USD Accumulation 0.19%
- Xtrackers NASDAQ 100 UCITS ETF 1C 0.20%
- Weighted costs total (per year) 0.19%
Costs are hilariously reasonable: blended TER around 0.19%. For once, no fee horror story. You basically picked two of the cheaper toys on the shelf and walked away like a rational adult. That said, low fees don’t rescue bad concentration or style risk; they just mean you’re not overpaying to make the same mistakes. Think of this as: “You didn’t get ripped off, congrats.” Fees are one of the few things investors can actually control, and here that box is very solidly ticked — almost like you knew what you were doing when you clicked “buy.”
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