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 portfolio is very focused: a single broad US equity ETF makes up nearly three quarters, with the rest in four individual growth stocks and one niche ETF. Everything is in stocks, so there’s no built‑in buffer from bonds or cash. This kind of structure can work well for someone chasing high long‑term growth and who’s comfortable with big swings along the way. The main takeaway is that “diversification” here mostly comes from the S&P 500 ETF, while the satellite positions dial up risk and potential return. Anyone using a setup like this should be consciously choosing concentration rather than stumbling into it.
Historically, the portfolio has been a rocket: $1,000 grew to about $8,625 over ten years, with a compound annual growth rate (CAGR) of 24.12%. CAGR is like average speed on a long road trip, smoothing out bumps. That’s massively ahead of both the US market (~13.8%) and global market (~11.3%). The price for that outperformance has been a steep max drawdown of about -41%, worse than the benchmarks’ roughly -34%. Drawdown is the worst peak‑to‑trough fall, and it shows the emotional pain level. Past returns are impressive but not guaranteed; the key message is that similar upside almost certainly comes with similarly harsh downturns.
All capital is in one asset class: equities. That makes the portfolio simple and highly growth‑oriented but also sensitive to stock market cycles. Diversifying across asset classes—like adding bonds, cash equivalents, or alternatives—can smooth the ride because different assets often respond differently to economic shocks. Relative to typical balanced portfolios, this setup has a much higher risk profile, consistent with a growth classification. The upside is maximum participation in equity gains; the downside is that there’s nowhere to hide during deep bear markets. Anyone using an all‑stock approach should have a long horizon and the temperament to sit through multi‑year drawdowns without drastic moves.
Sector‑wise, the portfolio skews heavily toward technology and related growth areas, plus sizable consumer and communication exposure, while more defensive segments like utilities, staples, and real estate are smaller. This mix is more aggressive than a broad global benchmark and lines up with a growth mindset. Tech‑heavy allocations tend to do very well in innovation‑driven bull markets but can be hit hard when interest rates rise or sentiment flips away from growth. The presence of financials, health care, and industrials through the S&P 500 ETF does provide some balance, which is a positive alignment with broad market composition. Still, the overall tilt favors cyclical and innovation‑driven sectors.
Geographically, the portfolio is almost entirely tied to North America, with about 99% exposure, and only a token allocation elsewhere. That’s more concentrated than global indices, which spread more across Europe and other regions. A home‑country tilt can feel comfortable and has paid off recently, as US markets have led. However, it also means results are highly linked to the US economy, policy, and currency. Underperformance of US markets versus the rest of the world would likely hit this portfolio harder than a more globally balanced approach. Keeping this bias intentional—rather than accidental—is important when thinking about long‑term risk.
Market cap exposure is dominated by mega‑ and large‑cap companies, at about 85% combined. Mid‑caps and small‑caps form only a thin slice. Large firms tend to be more stable, with established businesses and deeper liquidity, which can be helpful during stress. At the same time, a relatively small allocation to smaller companies can limit exposure to potential higher growth (and higher risk) segments of the market. This pattern is very similar to broad US indices and is generally considered a solid, core structure. The main difference here is that specific mega‑cap names are emphasized via single‑stock positions, which adds concentration risk on top of a very market‑like size profile.
Looking through the ETFs, there’s meaningful overlap in a few mega names. Amazon shows up both directly and inside funds, giving a total exposure around 12.6%. NVIDIA is similar, with about 7.8% total between the single stock and ETFs. Other giants like Apple, Microsoft, Alphabet, Meta, Tesla, and Broadcom also stack up via the funds. This “hidden” concentration is normal in US equity portfolios but can catch people off guard. Because only ETF top‑10 holdings are captured, overlap is likely understated. The key takeaway is that the portfolio is even more tilted to a handful of tech‑adjacent leaders than the surface weights suggest.
Factor exposure looks fairly balanced, with all factors hovering near neutral except for value and size, which are mildly low. Factors are like underlying “traits” such as cheapness (value), company size, trend following (momentum), balance sheet strength (quality), stability (low volatility), and income (yield). A mild tilt away from value and smaller size suggests a preference for larger, more growth‑oriented names versus cheaper or smaller companies. This lines up with the heavy exposure to big US growth stocks. Because the other factors sit near market‑like levels, the portfolio behaves largely like a broad growth‑biased equity market, without extreme tilts that would dramatically change performance patterns in specific environments.
Risk contribution shows how much each holding drives total ups and downs, which can differ from its weight. Here, the S&P 500 ETF is 74% of the portfolio but contributes about 64% of risk, making it relatively stable for its size. In contrast, the smaller growth positions punch above their weight: Amazon, Netflix, the semiconductor ETF, and NVIDIA together are only 26% by weight but add roughly 36% of the risk. The top three holdings alone account for almost 90% of overall volatility. This is typical of a core‑satellite setup. Periodic re‑sizing of the most volatile names is one way to keep risk aligned with intent.
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 portfolio has a Sharpe ratio of 0.85, meaning its return per unit of volatility is decent but not maximal. The efficient frontier shows what’s achievable using only these holdings with different weights; here, the portfolio sits about 1.34 percentage points below that curve at its risk level. The optimal mix on this frontier has a much higher Sharpe (1.3) but with significantly more risk, while the minimum‑variance mix sacrifices some return for a smoother ride. Because the current allocation is below the frontier, simply reweighting the existing positions—without adding anything new—could improve risk‑adjusted returns at roughly the same volatility.
Dividend yield is modest at around 0.69%, with the S&P 500 ETF under 1% and the semiconductor ETF even lower. That’s typical for growth‑focused US equities, where companies often reinvest profits into expansion instead of paying them out. For an investor prioritizing long‑term capital appreciation over current income, this is perfectly aligned and can be a positive sign of growth orientation. However, someone needing regular cash flow from their portfolio would likely find this yield insufficient and might look to mix in more income‑oriented assets. In this setup, dividends are a minor contributor to total return compared to price appreciation.
Costs are impressively low, with a blended TER around 0.04%. TER (Total Expense Ratio) is the annual fee charged by funds, and keeping it low means more of the portfolio’s growth stays in the investor’s pocket. Over long periods, even small fee differences compound significantly, so being close to rock‑bottom cost levels is a real strength here. The use of a very low‑cost core ETF is particularly aligned with best practices. Single‑stock holdings don’t carry ongoing fund fees, which also helps keep the overall cost base lean. From a cost perspective, this setup is already in excellent shape and doesn’t need major changes.
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