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.
This isn’t a portfolio, it’s a Broadcom shrine with some semiconductor souvenirs scattered around it. One stock sitting at 40%+ is basically saying “I only need this one to work.” Then you stack an 18% semiconductor ETF on top and toss in NVIDIA, Micron, and TSMC for good measure. That’s not diversification, that’s fan fiction. The rest – Investor AB, a miner, an energy turnaround, a dab of Novo – barely move the needle. Structurally this looks more like a themed bet than a thought-through allocation. When one name and one industry dominate this hard, the whole portfolio’s personality is just “whatever chips do next.”
Historically this thing absolutely obliterated the benchmarks: €1,000 turning into €7,579 since late 2020 is cartoon-level performance. A 48.7% CAGR versus 13–16% for global and US markets is basically cheating… or at least feels like it. But that max drawdown at nearly -39% in just a couple of months exposes the price of the party. The fact it took only three months to recover makes it look invincible, but that’s a backtest in a wildly chip-friendly era. Past performance is like bragging about a lucky streak at the roulette table: entertaining, not a business plan.
The Monte Carlo simulation politely takes your 48% fantasy CAGR away and replaces it with ~8% per year going forward. Monte Carlo is just a fancy way to say “we shook the portfolio through a thousand what-if scenarios.” Median outcome of €2,725 in 15 years is nice, but that top-end past result is a serious outlier, not the script. The range from “barely more than cash” to “still a rocket” shows how exposed this structure is to future moods in semis. Yesterday’s boom is in the data, but the simulation reminds that markets don’t owe this portfolio a sequel.
Asset class breakdown: 95% stocks, a tiny sliver of “other” via gold, and a mysterious 3% black box labeled “no data.” Translation: this portfolio is almost entirely riding the equity rollercoaster with barely any attempt at smoothing the ride. Having one shiny gold ETF at under 3% is more of a fashion accessory than a real diversifier. When nearly all risk is coming from one asset class, the emotional swings will follow that same line. This is essentially an equity turbo mode setup that pretends to be “moderately diversified” because there are more than five lines in the holdings list.
This breakdown covers the equity portion of your portfolio only.
Sector allocation screams one thing: chips or bust. Around 68% in technology means the rest of the sectors are basically background extras. Basic materials, industrials, and healthcare are token cameos at low single digits. And there’s a chunky 19% “no data,” which likely isn’t changing the story much. Compared to broad indexes, this tilt is like replacing the food pyramid with a plate of energy drinks. When one sector dominates, portfolio performance becomes hostage to that sector’s cycle – booms feel amazing, but downturns don’t just nudge returns, they body-slam the entire account.
This breakdown covers the equity portion of your portfolio only.
Geographically, this is a North America-led show with 65% exposure, a decent 25% slice in developed Europe, and tiny sprinkles in Asia. So despite all the semiconductor drama, location-wise it’s actually pretty conventional: heavy US, some Europe, a token wave toward Asia. The hidden quirk is that even the non-US pieces (like TSMC) are strongly plugged into the same global chip and industrial cycle. So while the flags on the map look reasonably spread, the economic story behind them is still very similar: highly cyclical, highly global, and very sensitive to the same supply-demand narratives.
This breakdown covers the equity portion of your portfolio only.
Market cap breakdown is classic “big game only”: 57% mega-cap, 18% large-cap, and basically nothing smaller. The 21% “no data” probably isn’t hiding an army of tiny speculative names either. This means the portfolio is hitchhiking on giants – which sounds safe until you realize these giants are some of the most volatile high-expectation names on the planet. No real small or mid-cap tilt here; risk isn’t coming from obscure illiquid stuff, it’s coming from massive titans whose share prices still swing like meme stocks during earnings season. It’s blue-chip in size, but not in temperament.
This breakdown covers the equity portion of your portfolio only.
Look-through holdings make one thing crystal clear: concentration isn’t a glitch, it’s the whole design. Broadcom at 40.7% with zero ETF overlap is the main character. Top ETF holdings like TSMC, ASML, and NVIDIA just pile even more semiconductor influence on top. NVIDIA shows up directly at 6.8% and again via ETFs, quietly inflating its real exposure beyond the headline number. Investor AB at 15% looks like diversification, but in risk and theme terms it’s still a sidekick, not a co-star. The overlap picture says this portfolio has multiple wrappers, but basically one story.
Risk contribution is where the clown mask comes off. Broadcom at 40.7% weight delivering 55.7% of total portfolio risk is doing main-engine rocket duty. The VanEck semiconductor ETF and NVIDIA push the top three positions to nearly 83% of all risk. Investor AB, at 15% of the weight, barely contributes 6% of risk – it’s the quiet kid in the corner while Broadcom sets the room on fire. Risk contribution is just “who’s actually shaking the portfolio,” and here the answer is basically one ticker and its semiconductor friends. Everything else is cosmetic decoration around that bet.
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.
The efficient frontier absolutely roasts this setup. At a Sharpe of 1.44 with huge volatility, the current portfolio sits a full 6 percentage points below what could be achieved using the same ingredients in smarter proportions. Sharpe ratio is just “return per unit of pain,” and right now the pain is overserved. The optimal mix gets a higher Sharpe (2.12) with meaningfully lower risk and lower return – basically, less drama per euro of gain. Being that far below the frontier says the portfolio isn’t being rewarded properly for the stress it creates; it’s like doing hard mode with no extra points.
Dividends are basically a rounding error here. With a total portfolio yield of 0.01%, this isn’t an income portfolio, it’s a growth rocket that occasionally drops a cent in the tip jar. Siemens Energy’s 0.40% yield hardly changes the picture. The message is clear: almost all expected return is price movement, not cash payouts. That amplifies the emotional rollercoaster – when prices fall, there’s no comforting stream of income to make it feel less painful. This is fully in the “hope the shares keep ripping” camp, not the “get paid to wait” camp.
Costs are the one area where this portfolio isn’t lighting money on fire. A total TER around 0.08% is impressively low given the use of thematic and leveraged ETFs. The individual ETFs sit around 0.35%, which is fair for niche stuff, and the stock positions obviously don’t add ongoing fees. So the funny part is: the structure is wildly concentrated and hyper-volatile, but at least it’s doing that cheaply. Fees aren’t the villain here; the drama comes from what’s owned, not what it costs to own it. You didn’t overpay for the rollercoaster ticket.
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