The risk profile, derived from past market volatility, reflects the level of risk the portfolio is exposed to. This assessment helps align your investments with your financial goals and comfort with market fluctuations.
The diversification assessment evaluates the spread of investments across asset classes, regions, and sectors. This ensures a balanced mix, reducing risk and maximizing returns by not concentrating in any single area.
Structurally this thing is “two big boring bricks plus one fanboy flyer.” About 85% is a global developed ETF, 10% emerging markets, and then a 5% side bet on Apple because apparently having Apple inside the ETF already wasn’t emotional enough. For a “balanced” label, it’s hilariously unbalanced across asset classes: it’s just stocks, then more stocks, and then extra Apple. The good news: it’s simple and mostly coherent, so at least the chaos is limited. The bad news: that 5% single-stock bet adds concentration without really changing your life. If someone wanted clean simplicity, dropping the shrine and sticking to broad funds would do it.
Performance-wise, this portfolio has been the kid who does their homework and sometimes even gets extra credit. Turning €1,000 into €3,227 with a 12.34% CAGR is solid. CAGR, by the way, is just your average yearly growth rate over time, like your average speed on a long road trip. You slightly lagged the US market but comfortably beat the global market, which is basically what happens when you’re diversified but still heavily US-flavored. Max drawdown around -33% means it can definitely punch you in the face during crashes, but not harder than the benchmarks. Past data is like yesterday’s weather though: useful, but it won’t swear on anything about the next storm.
Asset-class “diversification” here is basically: 100% stocks and zero of everything else. For something labeled “balanced,” this is more “all-in on the stock market and vibes.” No bonds, no real defensive assets, nothing that traditionally acts as a cushion when markets tank. That’s fine for someone with a long horizon and strong stomach, but let’s not pretend this is some carefully balanced symphony. It’s just the equity section played very loudly. The takeaway: if big drops make you panic-sell, a pure-stock setup like this is asking for behavioral disasters, not because the structure is bad, but because humans are.
Sector-wise, this is a tech-leaning portfolio wearing a “diversified” name tag. About 31% in technology is a solid tech addiction, with financials, industrials, and consumer areas sprinkled in to look respectable. The rest of the sectors show up like supporting characters, not stars. This is what happens when you hug broad market indices in a world where tech dominates everything. It’s not a disaster, but it does mean your fate is heavily tied to one type of business model: high-margin, capital-light, innovation-heavy firms. When that works, you look clever. When tech has a multi-year sulk, you just look overexposed and late to adjust.
Geographically, this portfolio is basically: “USA, then some token global garnish.” Around 69% in North America means your fortunes are glued to one economic bloc, with Europe, Japan, and the rest of the world picking up scraps. For a German-based investor, that’s a full send into foreign exposure and currency risk, with home turf playing a tiny role via global ETFs. It’s very “America or bust,” which has worked brilliantly for the last decade but is still a bet. If the US keeps dominating, you’ll look smart. If not, this will just be a global fund that forgot diversification isn’t supposed to mean “mostly one country plus decoration.”
Market cap exposure is classic big-index fan behavior: 51% mega-cap, 32% large-cap, mid-caps and small-caps thrown in as a polite afterthought. You’re basically outsourcing everything to the giants of the world and letting them steer the ship. That means stability relative to smaller companies, but also a strong dependence on a few mega corporations already dominating headlines, ETFs, and everyone else’s portfolio. It’s like owning a “diverse” sports team made of only the top 20 players in the world; impressive, but not exactly broad. If those giants underperform for a decade, your portfolio is going to feel very slow and very ordinary.
The look-through holdings scream “I love big US tech and I will not be subtle about it.” Apple shows up twice: once as a 5% direct chunk and again inside the ETF top holdings, so yes, you’ve paid to hold Apple and then tipped extra on top. Add NVIDIA, Microsoft, Amazon, Alphabet, Meta, and Broadcom and you’ve basically built a who’s-who of “stocks every ETF owns already.” Overlap is likely even higher than shown since only top-10 holdings are counted. Hidden concentration like this is sneaky: it feels diversified, but the same giants are running the show in the background, making the portfolio far more dependent on a narrow group of market darlings.
Factor exposures are estimated using statistical models based on historical data and measure systematic (market-relative) tilts, not absolute portfolio characteristics. Results may vary depending on the analysis period, data availability, and currency of the underlying assets.
Factor exposure is where the portfolio quietly reveals its personality. Factor exposure is like reading the ingredients list instead of trusting the marketing on the box. You’ve got a high tilt to value and a very high tilt to low volatility. Translation: you’re leaning toward cheaper, steadier stuff rather than lottery tickets. Low volatility at 88% is basically “I want stocks, but I’d prefer they don’t scream too much.” The yield tilt is low, so you’re not chasing dividends, just total return. Overall, it’s a pretty sensible combo: boring-but-reasonable factors that tend to hold up better when markets get moody, without screaming any extreme or contradictory bet.
Risk contribution here is refreshingly simple and slightly funny. Risk contribution measures which positions are actually causing the ups and downs — the ones hogging the drama. Your global ETF is 85% of the weight and roughly 84% of the risk, so no secret landmines there. Emerging markets are 10% weight for about 9% risk, so again, proportional. Then Apple: 5% of the portfolio but 6.23% of total risk — a small but spicy overachiever. That single stock is doing more volatility lifting than its size suggests. It’s not catastrophic, just a reminder that individual names, even small ones, can swing harder than a big dull ETF.
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 map, this portfolio is weirdly efficient for something that looks so basic. The Sharpe ratio — your return per unit of risk, like performance divided by drama — is 0.68, basically tied with the minimum variance portfolio at 0.69. And the current allocation sits right on or very near the efficient frontier, meaning for these specific ingredients, you’ve mixed them about as sensibly as possible at this risk level. No glaring free lunch left on the table. You could chase the “optimal” portfolio with a higher Sharpe, but that comes with way more risk. So, begrudgingly: the structure is plain, but it’s not dumb.
Costs are the one area where this portfolio is almost suspiciously well-behaved. A total TER of 0.19% is pleasantly low — like you somehow managed not to tip the financial industry 2% a year for doing index hugging. TER (total expense ratio) is basically the annual “rent” you pay for holding the funds, and under 0.2% is comfortably in the cheap-and-cheerful zone. You dodged the classic trap of expensive active funds pretending to be smart while copying the index. So while the structure has some quirks, at least you’re not lighting money on fire through fees. You actually kept this part impressively clean.
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