This portfolio is a simple three-fund, all-stock mix: a broad US market fund at 40%, a dedicated technology fund at 30%, and a broad international fund at 30%. That structure creates a clear tilt toward US stocks overall, and especially toward the technology industry, while still keeping some exposure to companies outside the US. A focused lineup like this is easy to understand and track, since each fund has a distinct role. The trade-off is that all holdings move with global stock markets, so there’s no built-in cushion from bonds or cash. The growth-focused composition lines up with the “Growth Investors” risk label and explains why the risk score sits in the upper range.
From 2016-05-02 to 2026-04-23, $1,000 in this portfolio grew to about $4,810, a compound annual growth rate (CAGR) of 17.09%. CAGR is like your average speed on a road trip: it smooths out bumps to show long-run pace. Over this period, the portfolio outpaced both the US market (14.97%) and global market (12.26%) by a notable margin. The max drawdown of -33.3% during early 2020 was sharp but similar to the benchmarks, and it recovered within about four months, which is relatively fast. Returns were concentrated in only 39 days that made up 90% of gains, highlighting how missing a small number of strong days can heavily impact long-term results.
The Monte Carlo projection uses 1,000 simulations to estimate where $1,000 invested today might land in 15 years, based on past return and volatility patterns. Think of it as running many “what if” futures to see a range of outcomes, not a single prediction. The median outcome is about $2,887, with most scenarios falling between roughly $1,831 and $4,347, and an overall average annualized return of 8.37%. There’s about a 75% chance of ending with more than the starting $1,000. However, the wide possible range from about $982 to $8,124 shows that stock-heavy portfolios carry meaningful uncertainty. Past data guides these simulations but cannot guarantee any specific future path.
All of this portfolio sits in stocks, with 0% allocated to bonds, cash, or alternatives. That 100% equity exposure is a textbook growth-oriented setup: it maximizes participation in company earnings and global economic growth but also fully absorbs equity market swings. Compared with a typical broad global benchmark, which often includes some lower-risk assets in mixed portfolios, this one is more aggressive by design. This helps explain the strong past returns and the relatively large drawdowns. A structure like this leans heavily on time horizon and staying invested through volatility, since there’s no built-in stabilizer that might reduce the impact of market shocks along the way.
Sector exposure is clearly tech-heavy: about 47% in technology, with the rest spread across financials, industrials, consumer, health care, telecom, and smaller allocations to other areas. Broad global equity benchmarks usually have a much lower technology weight, so this is a meaningful tilt. Tech-focused portfolios often benefit when innovation and growth stocks are leading the market, which has been a big driver of returns in recent years. The flip side is that they can be more sensitive to interest rate changes, regulatory shifts, or sentiment swings toward growth companies. The non-tech sectors still provide some diversification, but day-to-day portfolio moves will likely be dominated by what happens in the technology space.
Geographically, roughly 72% of the portfolio is in North America, with the remainder spread across developed Europe, Japan, other parts of Asia, emerging Asia, and smaller slices in Australasia, Africa/Middle East, and Latin America. Global market weights also lean heavily toward North America, but this portfolio’s tilt is stronger than a pure world index, reflecting the combination of a US total market fund plus a US tech fund. This structure keeps the simplicity of a US core while adding meaningful overseas exposure. It does, however, concentrate economic and currency exposure in the US, so portfolio results are likely to be strongly influenced by US growth, policy, and investor sentiment relative to the rest of the world.
By market size, the portfolio leans toward larger companies: about 45% mega-cap, 29% large-cap, 16% mid-cap, 6% small-cap, and 2% micro-cap. This is broadly in line with global equity markets, which are naturally dominated by the world’s biggest firms, but the presence of mid and small caps adds a layer of diversification and potential for more idiosyncratic growth. Larger companies often bring more stable earnings and liquidity, which can moderate some volatility compared with a pure small-cap approach. At the same time, the smaller slices in mid, small, and micro caps retain exposure to different business models and growth phases, giving the portfolio a more rounded equity footprint across the company-size spectrum.
Looking through the ETFs’ top holdings, a handful of big names stand out: NVIDIA at about 8.1%, Apple at 7.1%, and Microsoft at 4.8%, plus Broadcom, Amazon, Alphabet, TSMC, Meta, and Tesla in smaller but still notable sizes. These exposures mostly come from overlapping positions across funds, especially the tech and broad US funds. Because only ETF top-10 holdings are used, actual overlap is likely understated, but it’s clear that a relatively small group of large technology and internet companies has an outsized influence. That concentration helps explain the strong past performance and means portfolio behavior will be tightly linked to how these specific giants perform over time.
Factor exposure across value, size, momentum, quality, yield, and low volatility is essentially neutral, sitting close to 50% for all six. Factor exposure is like the underlying “ingredients” that drive how a portfolio behaves: for example, value versus growth, or stable versus more volatile names. In this case, the portfolio lines up closely with the broad market on these dimensions despite its sector and geographic tilts. That means its return drivers, beyond the tech and US emphasis, look similar to a standard market-weighted index and don’t strongly lean into any one academic factor strategy. This balanced factor profile can help avoid being overly dependent on a single style being in favor or out of favor.
Risk contribution shows how much each holding drives overall ups and downs, which can differ from simple weights. Here, the US total market fund is 40% of assets and contributes about 38.1% of risk, closely aligned. The dedicated tech ETF, at 30% weight, contributes a higher 37.3% of risk, confirming its more volatile nature relative to other holdings. The international fund, also at 30%, contributes only 24.6% of risk, reflecting somewhat lower volatility and partial diversification benefits. This pattern means portfolio-level risk is somewhat concentrated in the tech ETF, even though it’s not the largest position by weight. The overall distribution is still reasonably balanced, but the tech slice clearly punches above its weight in driving fluctuations.
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 analysis plots expected return against risk using the same three funds in different mixes. The current portfolio has an annualized expected return of 16.54% with 18.88% risk and a Sharpe ratio of 0.66, where the Sharpe ratio measures return per unit of risk above a risk-free rate. The optimal portfolio on this frontier shows a higher Sharpe of 0.96 with more risk and higher return, while the minimum-variance mix has slightly lower risk and a Sharpe of 0.63. Importantly, this portfolio already sits on or very near the frontier, meaning that for its chosen risk level, the combination of holdings is considered efficient using this historical data set.
The portfolio’s overall dividend yield is about 1.4%, combining roughly 1.1% from the US total market fund, 2.8% from the international fund, and a lower 0.4% from the tech ETF. Dividends are cash payments companies make from profits, and while they’re only one part of total return, they can provide a modest income stream alongside price growth. Relative to many income-focused strategies, this yield is on the lower side, which is common for tech-tilted and growth-oriented portfolios where companies often reinvest earnings instead of paying them out. Over time, even a modest yield can contribute noticeably to total returns when combined with reinvestment, but here capital gains clearly dominate the return profile.
The total expense ratio (TER) of this three-ETF mix is about 0.06% per year, with individual fund costs ranging from 0.03% to 0.10%. TER is the annual fee charged by the funds, taken directly from their assets, so lower costs mean more of the underlying returns stay in the portfolio. These fees are impressively low by any standard and compare very favorably with average active or even many passive offerings. Over long periods, even small fee differences compound significantly, so this cost structure is a real strength. It supports the strong historical performance by minimizing the drag from expenses while still providing broad, diversified exposure across US and international markets.
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