The portfolio is as concentrated as it gets: two individual stocks at 50% each, with no funds or other assets. That means every euro is tied to the fortunes of just these two businesses, both in the same broad region and similar growth style. This structure can produce huge wins when both names do well, but it also leaves no cushion if either company hits trouble. A setup like this usually makes sense only when the investor truly understands and accepts company‑specific risk. For anyone wanting smoother, benchmark‑like behavior, adding more positions or diversified funds would typically be the first lever.
Historically, the numbers are spectacular: €1,000 would have grown to about €16,766, a compound annual growth rate (CAGR) of 32.29%. CAGR is the “average speed” of growth per year over the whole period. That easily beats both the US market (13.31%) and global market (10.91%). The flip side is the huge max drawdown of -60.60%, meaning the portfolio has at times lost over 60% from a previous peak. This high‑risk high‑reward profile fits the aggressive label well. It shows what’s possible, but also how emotionally and financially demanding the ride can be.
The asset mix is 100% in stocks, with no bonds, cash, or alternatives. That makes the portfolio highly sensitive to equity market swings and company‑level news, with no built‑in stabilizers to soften big hits. For long‑horizon, aggressive investors, a full‑equity stance can be acceptable, especially when chasing growth. However, it also means that in severe downturns, there’s no defensive ballast. Compared to broader market norms, which usually include at least some defensive assets, this setup is firmly at the “all‑in on growth” end of the spectrum. Staying invested through big drawdowns becomes essential to capture potential upside.
Sector exposure is split 50% technology and 50% consumer discretionary, both typically growth‑oriented and cyclical. These areas tend to do well when the economy is strong, innovation is rewarded, and interest rates are stable or falling. They can be hit hard when rates spike, consumer spending slows, or sentiment turns against high‑growth business models. Relative to diversified portfolios that spread across defensive areas like healthcare or utilities, this sector mix is aggressive and pro‑cycle. It can strongly outperform in tech‑friendly environments but may underperform sharply in rotations toward value, defensives, or income‑oriented businesses.
Geographically, the exposure is 100% to North America. That means performance is closely tied to US‑driven economic conditions, regulation, and market sentiment. Over the last decade, this region has been a standout, so the historical outperformance benefits from a strong tailwind. The trade‑off is that there’s no diversification into other major economies that might perform differently at various stages of the global cycle. Compared with common global benchmarks that spread more broadly across regions, this is a deliberate concentration. It works well if North America keeps leading, but it increases vulnerability if leadership shifts elsewhere.
All holdings are mega‑cap stocks, meaning they are among the largest companies in the world by market value. Mega‑caps often have strong brands, global reach, and substantial resources, which can support resilience and competitive advantages. At the same time, they can already be widely owned and heavily analyzed, so expectations are high and surprises can move prices sharply. This all‑mega‑cap stance avoids the added volatility and liquidity risks of small caps, but it still doesn’t make the portfolio low risk because the names themselves are high‑beta growth stories. It’s size‑stable but business‑model‑volatile.
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 shows a very low tilt to value (5%) and a very high tilt to size (90%). Factors are like the underlying “ingredients” that explain why investments behave as they do. A very low value score means a strong tilt toward expensive, growth‑oriented companies rather than cheaper, out‑of‑favor ones. That can boost returns when growth is in fashion but adds vulnerability if the market rotates toward value. The very high size score reflects heavy exposure to large growth leaders instead of smaller firms. Together, these tilts signal a pure growth style that can shine in momentum‑driven bull markets but suffer in sharp rotations or rising‑rate environments.
Risk contribution looks at how much each holding adds to overall volatility, which can differ from its simple weight. Here, Tesla is 50% of the portfolio but contributes about 73% of total risk, while Apple contributes 27%. In other words, Tesla is the main driver of the portfolio’s ups and downs, like a single loud instrument dominating an orchestra. This isn’t inherently bad if that risk is intentional and well understood, but it’s very concentrated. Shifting the balance toward the less volatile name, or adding more holdings, would usually spread risk more evenly without changing the total invested amount.
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, the current mix sits right on or very close to the efficient frontier. The efficient frontier is the curve showing the best return achievable for each risk level using only the existing holdings. The portfolio’s Sharpe ratio of 0.97 is slightly below the optimal Sharpe of 1.06 but in the same ballpark as the minimum variance portfolio (0.98). That means, given only these two stocks, the balance is already quite efficient for its chosen risk level. Any big improvement in the risk/return trade‑off would likely come from adding new types of holdings, not just reweighting these two.
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