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.
The portfolio is built mainly from broad equity index ETFs with a single high yield bond ETF, landing at 85% stocks and 15% bonds. That mix matches a classic “balanced-tilt-to-growth” setup rather than a very aggressive or very conservative stance. Using broad funds across total market, international, emerging markets, and size segments keeps things simple while still spreading risk. Having just six holdings makes maintenance easy but means every position really matters. Overall, this is a straightforward, rules-based structure that relies on markets rather than stock picking. For many investors, that’s a solid core design: growth-focused, diversified, and understandable at a glance.
From April 2020 to March 2026, $1,000 grew to about $2,039, a Compound Annual Growth Rate (CAGR) of 12.81%. CAGR is just your “average speed” per year over the whole journey. This trailed both the US market and the global market, which is normal for a portfolio that mixes in high yield bonds and more international exposure. Max drawdown, the worst peak‑to‑trough drop, was around -25.8%, similar to the benchmarks, which shows risk has been in line with broad markets. The big picture: returns have been strong in absolute terms, just a bit lower than pure equity benchmarks, reflecting the more balanced, slightly lower‑risk construction.
The Monte Carlo projection uses past returns and volatility to simulate 1,000 different 15‑year futures, like rolling many alternate timelines. The median outcome grows $1,000 to about $2,638, with a wide “likely” range from roughly $1,893 to $3,814. That spread shows how uncertain long‑term results can be even for a solid portfolio. The average simulated annual return of 7.47% is meaningfully lower than the recent historical pace, which is a cautious signal not to anchor on the last few years. These simulations are informed by history but can’t foresee future regimes, so they are guide rails, not promises.
With 85% in stocks and 15% in bonds, the portfolio clearly leans toward growth while still including a modest shock absorber. The bond slice is entirely in high yield corporate credit, which tends to behave more like “riskier income” than a true safe haven. That’s very different from owning government bonds or high‑grade corporates that usually cushion equity selloffs more. In practice, this setup may deliver higher income and long‑term return potential, but less protection in deep market stress. Anyone wanting a smoother ride might consider whether the bond segment’s role is income, diversification, or both, and align it more exactly.
This breakdown covers the equity portion of your portfolio only.
Sector exposure is broad and well-spread: technology leads at 17%, but financials, industrials, and several other sectors all have meaningful slices. This pattern looks similar to global equity benchmarks, which is a positive sign for diversification and avoiding heavy single‑theme bets. A portfolio like this should participate in a wide range of economic environments rather than hinging on one story such as pure tech or energy. It also means no sector is likely to dominate long‑term results on its own. This balanced structure is a real strength, helping reduce the chance that one sector’s downturn derails overall progress.
This breakdown covers the equity portion of your portfolio only.
Geographically, about 59% is in North America with the rest spread across developed Europe, Japan, developed Asia, and a modest slice in emerging markets. That’s closer to global market weights than a typical US‑only or US‑heavy portfolio, which is great from a diversification standpoint. It ensures exposure to multiple economic cycles, currencies, and policy regimes. The flipside is this mix may lag a pure US allocation during stretches when US stocks outperform, as they have recently. Over decades, though, being broadly global can reduce country‑specific risk and smooth out periods when any one region falls out of favor.
This breakdown covers the equity portion of your portfolio only.
Market cap exposure is nicely layered: about a third in mega‑caps, nearly a quarter in large‑caps, and the rest in mid, small, and even a small micro‑cap slice. This means the portfolio is not just riding the very biggest names, even though they remain important. Smaller companies tend to be more volatile but offer different growth drivers than global giants, and mixing sizes can improve diversification. The explicit small‑ and mid‑cap funds amplify this effect. This structure positions the portfolio to benefit from leadership shifts between big and smaller companies over time, rather than being locked into one segment.
Looking through the ETFs, the top underlying exposures tilt toward large global tech and communication names like Taiwan Semiconductor, NVIDIA, Apple, and Microsoft, plus key Asian and European leaders. These show up across multiple funds, which creates some hidden concentration even though each ETF looks diversified. Because only ETF top-10 positions are captured, true overlap is likely higher under the surface. This concentration is not extreme but means a chunk of performance will be tied to how these global giants behave. It’s worth being aware that “owning many funds” doesn’t fully shield from big names dominating returns in modern index-based portfolios.
Factor exposure is fairly balanced, with most factors near neutral, but there are mild tilts toward yield and low volatility. Factors are characteristics like “ingredients” behind returns — for example, yield targets income producers, while low volatility leans into steadier names. A high yield score and high low‑volatility score suggest the portfolio favors income‑paying, somewhat steadier stocks compared with the market overall. That can support smoother performance and a more reliable cash flow profile, though it might lag in explosive growth periods dominated by high‑risk, non‑dividend names. Overall, the factor mix looks intentional and aligned with a balanced, quality‑oriented style.
Risk contribution shows how much each ETF drives the portfolio’s overall ups and downs, which can differ from simple weights. Here, the three biggest holdings account for about 69% of total risk, broadly in line with their combined allocation but still a clear center of gravity. The small‑cap fund is a minor slice by weight yet contributes more risk per dollar, which fits its more volatile nature. That’s like a small but loud instrument cutting through in an orchestra. This pattern is reasonable, but it’s useful to remember that adjusting even one of the big equity ETFs would noticeably shift overall risk.
The correlation data shows the small‑cap, mid‑cap, and total US stock ETFs moving very closely together historically. Correlation measures how often assets move in the same direction; when it’s high, diversification benefits shrink during big market moves. In practice, this means these three funds behave like different flavors of the same underlying US equity risk, rather than separate stabilizers. That’s normal for size‑segmented US equity indices but is worth keeping in mind. Real diversification in this portfolio mainly comes from the international, emerging markets, and high yield bond exposure rather than from splitting US stocks by size.
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 sits on or very near the efficient frontier, which is the curve of best achievable returns for each risk level using the existing holdings. The Sharpe ratio of 0.63 is lower than the optimal mix’s 0.89 but still reflects solid risk‑adjusted performance. Sharpe compares return to volatility after accounting for a risk‑free rate, like checking how much “extra” return you’re getting per unit of bumpiness. Being on the frontier means that, for this combination of ETFs, the allocation is already well‑tuned. Any improvements would be incremental tweaks, not a full overhaul.
The overall dividend yield sits around 2.8%, with a big boost from the high yield bond ETF at 6.9% and solid payouts from the international and emerging markets funds. Dividend yield is the annual cash income as a percentage of current value, like interest on a savings account but not guaranteed. For a mostly growth‑oriented mix, a near‑3% yield is attractive and can meaningfully contribute to total return, especially if reinvested. It also offers flexibility: investors can either take that income as cash or plow it back in. This income profile lines up nicely with a balanced, long‑term approach.
Total ongoing fund costs are impressively low at about 0.06% per year. That’s the Total Expense Ratio (TER), like the “membership fee” you pay quietly in the background for each ETF. Staying this close to zero puts the portfolio firmly in best‑practice territory, especially given the global diversification. Over decades, saving even a quarter‑percent a year compounds into real money, so holding broad, cheap index funds is a structural edge. This cost discipline means more of the portfolio’s gross return shows up in your pocket rather than going to managers. It’s a genuine strength you already have working for you.
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