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 “portfolio” is three ETFs in a trench coat pretending to be sophisticated. Seventy percent in an all-world fund, twenty percent in a US fund that heavily overlaps it, and ten percent in a semiconductor rocket booster. It’s like buying a combo meal and then adding an extra side of the exact same fries plus a shot of hot sauce. The result is less diversification than it looks and more hidden bets than a balanced label suggests. The general takeaway: either commit to simple and clean, or admit you’re actually running a high-octane equity portfolio with a hobbyist tilt toward chips.
Historically this thing has been riding the bull nicely. Turning €1,000 into €2,012 in just over five years, with a 14.23% CAGR, is objectively solid and slightly edges the US market proxy and clearly beats the global market proxy. Max drawdown around -23% matches the “oops everything’s red” moments in the benchmarks, so you suffered when everyone else did, not uniquely. Also, 90% of returns came from just 26 days, which is classic equity behavior: miss a handful of big up days and the story changes fast. Just remember: past data is yesterday’s weather, not a forecast for eternal sunshine.
The Monte Carlo projection basically said, “Nice run, let’s assume more of that” and then went wild. Monte Carlo just takes past returns and volatility, shuffles them into 1,000 fake futures, and spits out a range. A median outcome of about +900% over 10 years and an average simulated annual return near 20% is… optimistic bordering on delusional if taken literally. It’s more “this is what would happen if history kept partying” than a sober forecast. Treat it like a hype trailer, not a contract. The useful bit: a wide spread between good and bad paths shows just how wild a 100% equity ride can get.
Asset-class-wise this is the all-equities diet: 100% stocks, zero bonds, zero cash, zero anything else. For something labeled “Balanced” this is like ordering a salad and getting a triple cheeseburger with extra bacon. No ballast, no shock absorbers, just pure exposure to the market’s mood swings. That’s fine if the time horizon is long and the stomach is strong, but let’s not pretend this is middle-of-the-road. The big picture: if everything you own can drop 30% at the same time, that’s not balanced, that’s committed. Great for growth focus, terrible for anyone who needs stability on a schedule.
Sector mix: 36% tech, plus a semiconductor ETF on top, so we’re well into “Tech addiction detected” territory. Financials, industrials, cyclicals and the rest exist, but they’re clearly background dancers for the big tech headliners. This is what happens when you buy cap-weighted global plus US and then bolt on a thematic ETF in the hottest area: you double down on exactly what’s already dominant. If tech has a multi-year hangover, performance will feel like you stacked growth-on-growth with no Plan B. Core lesson: adding a niche ETF usually amplifies an existing tilt rather than giving you something truly new.
Geography screams “America or bust apparently.” Roughly 72% in North America, with the rest sprinkled like seasoning over Europe, Japan, and various other regions. For a supposedly world allocation, this is basically the US plus a supporting cast that doesn’t move the needle much. To be fair, that’s how global cap-weighted indexes look these days, so you’re not doing anything weird — just heavily tied to one economic and policy regime. If that machine keeps humming, great. If it stalls, the small non-US allocation won’t rescue performance. The takeaway: global in name often still means heavily US in practice.
Market cap breakdown is full-on Big Kid Table: 48% mega, 35% big, 16% mid, and tiny caps are basically locked outside. You’re riding the corporate supertankers, not the scrappy speedboats. That usually means lower blow-up risk from single names, but also massive dependence on the same tight group of global behemoths that dominate headlines and indexes. If you were hoping for hidden small-cap magic or “undiscovered gems,” this isn’t that story. The portfolio behaves like a bet on the giants staying giants, which is fine — just understand that you’re closer to a mega-cap index hug than some edgy, diversified masterpiece.
Under the hood this is basically the Magnificent Whatever-Number-We’re-On plus a semiconductor fan club. NVIDIA at 5.3%, Apple over 4%, Microsoft, Amazon, Alphabet, Meta, Tesla, ASML — you’ve effectively crowd-surfed on the same handful of mega names through multiple ETFs. Overlap is likely worse than it looks because we only see top-10 holdings. So you think you own “thousands of companies” but in practice your emotional state is hostage to a dozen US tech and growth giants. General lesson: owning the same celeb stock via three different wrappers is still one big bet, not diversification.
Factor exposure is screaming momentum with a side of size. Momentum at 55% means you’re heavily loaded into what’s been working recently — like only backing bands already topping the charts. Size tilt suggests a bit more toward smaller names than pure mega, but still within the equity mainstream. Factor exposure is just the ingredients list for your returns: value, momentum, quality, etc. You’ve basically chosen “hot and fast” over “cheap and boring” or “steady and defensive.” That’s fun in a rip-roaring bull market but gets spicy when trends reverse. The kicker: a lot of this is probably accidental, not a deliberate, rules-based factor strategy.
Risk contribution shows who’s actually shaking the portfolio, and the semiconductor ETF is the loud neighbor. With just 10% weight, it’s contributing over 17% of total risk — a risk-to-weight ratio of 1.74 is doing heavy lifting in all the wrong ways. The big all-world fund is 70% of weight and about 63% of risk, pretty proportional, while the S&P ETF behaves as expected. But that chip slice is the drama queen: small allocation, oversized impact. General insight: trimming or taming positions with outsized risk-to-weight can smooth the ride without needing to reinvent the whole strategy or add exotic stuff.
Correlation-wise, your two big core funds are highly synchronized — shocker, given they’re basically variations on global and US large-cap equity. When markets go up, they’ll mostly go up together; when they crash, they’ll happily dive in unison. Correlation is just how often things move in the same direction at the same time. High correlation across major positions means you’re not getting much true diversification, only the illusion of choice via different tickers. In a real crash this behaves like One Big Equity Bet plus a semiconductor turbo button, not a thoughtfully offset collection of independent drivers.
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, you’re sitting on the efficient frontier, which means at least you’re not wasting risk, but you’re still not at the best possible spot. Sharpe ratio around 0.79 is okay, while the optimal mix using the same ingredients hits about 0.95 with higher expected return and risk. There’s also a same-risk version that cranks expected return much higher, but at the cost of extreme volatility. Efficient frontier just shows the best trade-offs possible given what you already own. The punchline: even without adding anything new, reweighting could squeeze more juice from the same oranges instead of riding the current configuration out of habit.
Costs are the one area where you didn’t trip over anything — total TER of 0.19% is plain solid. You’ve avoided the trap of shiny but overpriced products and stuck to reasonably cheap broad ETFs, plus one slightly pricier thematic that still isn’t outrageous. Think of it as paying economy fares to fly in a fairly nice plane. Fees are under control — you probably just clicked on the big, popular tickers everyone uses and accidentally did something smart. The roast here is mild: if only the allocation discipline matched the fee discipline, this would be boringly efficient instead of slightly unhinged around the edges.
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