This portfolio is a pure equity mix built entirely from factor and index-style ETFs, with no bonds or cash. The largest sleeve is US large‑cap momentum, followed by US large‑cap quality and a dedicated technology fund, together making up around two‑thirds of the total. The rest is spread across US and international small and large caps, with value, momentum, and quality tilts. A 100% stock structure means returns are fully tied to equity markets, without the dampening effect bonds can provide. The mix of factor strategies adds complexity: performance is driven not only by broad markets but also by how these styles behave through different cycles, which can amplify both gains and pullbacks.
From late 2021 to mid‑2026, $1,000 in this portfolio grew to about $2,176, a compound annual growth rate (CAGR) of 18.26%. CAGR is the “average yearly speed” of growth, smoothing out ups and downs over time. This clearly outpaced both the US market (14.47%) and the global market (12.36%) over the same period. The max drawdown, at -24.66%, was similar to the benchmarks’ worst falls, showing comparable downside in the toughest stretch. Only 25 days made up 90% of returns, underscoring how a relatively small number of strong days can drive long‑term results, especially in momentum‑ and tech‑heavy portfolios.
The Monte Carlo projection uses the portfolio’s historical behavior to simulate many possible future paths for a $1,000 investment over 15 years. Think of it like rolling the dice 1,000 times using past volatility and returns as the “rules.” The median outcome is around $2,761, with a wide “likely” band between roughly $1,821 and $4,154. The average annualized return across simulations is 8.09%, and about three‑quarters of runs end positive. This highlights that even with strong historical performance, future outcomes vary a lot, from near‑flat to very strong. As always, these simulations are illustrative only; they cannot predict actual future returns.
All holdings are equities, so asset class diversification is intentionally narrow: there is no exposure to bonds, cash, or alternatives. Equities historically offer higher potential returns than safer assets but also larger and more frequent swings in value. This all‑stock stance lines up with the “growth” classification and higher risk score, since there is no built‑in stabilizer when markets fall sharply. Compared with many blended portfolios that include fixed income, this structure accepts more short‑term volatility in exchange for long‑term growth potential, meaning portfolio ups and downs will generally mirror equity market cycles quite closely.
Sector exposure is strongly tilted toward technology at about 40%, with the rest spread across industrials, financials, health care, consumer areas, energy, materials, telecom, utilities, and real estate. Relative to broad global or US benchmarks, this is a noticeably tech‑heavy mix, driven by both the dedicated tech ETF and tech’s prominence in momentum and quality indices. Heavy technology exposure tends to boost returns when innovation‑driven companies lead, as they have in recent years, but it can also mean sharper drawdowns if growth expectations or interest rates move against the sector. The remaining sectors provide some balance but do not dominate risk.
Geographically, the portfolio is anchored in North America at 82%, with modest allocations to developed Europe, Japan, and smaller slices in other developed regions and Africa/Middle East. This creates a clear home‑country and US‑centric tilt compared with global benchmarks, where North America usually makes up closer to 60% of market value. A strong US focus can be beneficial when US markets outperform, as they have for much of the past decade. However, it also means portfolio results are highly tied to one economic and regulatory environment, with international positions providing diversification but not driving the overall behavior.
By market cap, the portfolio leans toward larger companies, with mega‑ and large‑caps together around two‑thirds of exposure. Mid‑caps, small‑caps, and a small slice of micro‑caps round out the rest. This creates a core of established, widely followed firms, modestly complemented by smaller companies that can be more volatile but offer different growth and risk patterns. The explicit small‑cap value allocations introduce a distinct style tilt in that size range. Overall, this mix is more diversified than a pure mega‑cap portfolio, yet still anchored in big names that tend to dominate major indices and drive broader market sentiment.
The look‑through view of ETF top‑10 holdings shows notable concentration in a handful of large technology and semiconductor names, such as NVIDIA, Micron, Apple, Broadcom, and others. For example, NVIDIA alone accounts for about 5.17% of the portfolio, entirely through ETFs. Several of these companies appear in multiple funds, creating hidden overlap beyond each ETF’s headline weight. Because only top‑10 positions are captured, actual overlap could be somewhat higher. This pattern is common in factor and tech‑heavy portfolios, and it means the portfolio’s performance is meaningfully influenced by how a relatively small group of mega‑cap growth and chip companies performs.
Factor exposure is largely market‑like across value, size, quality, yield, and low volatility, with readings clustered near the 50% “neutral” mark. The standout is momentum at 60%, reflecting a meaningful tilt toward stocks that have recently performed well. Factor exposure is like checking which “traits” are most prominent in the portfolio’s holdings. A momentum tilt can enhance returns when trends persist, as strong recent winners continue to do well, but it may hurt during sharp market reversals when prior leaders sell off. Overall, the combination of a clear momentum bias with otherwise balanced factors suggests style risk is concentrated mainly in that single dimension.
Risk contribution shows how much each holding drives the portfolio’s overall volatility, which can differ from simple weights. The S&P 500 Momentum ETF, at 30% weight, contributes about 30.86% of risk, roughly proportional. The tech ETF is 15% of capital but 19.60% of risk, indicating it punches above its weight in driving ups and downs. In total, the top three positions account for over two‑thirds of portfolio risk, even though they’re only 65% of the allocation. This pattern is typical when concentrated factor and sector exposures dominate. It means day‑to‑day performance is heavily shaped by a small number of core holdings.
The correlation data flags a very high historical link between the Avantis International Small Cap Value ETF and Avantis International Large Cap ETF. Correlation measures how closely two investments tend to move together, on a scale from -1 (opposite) to +1 (in step). When a pair is described as moving “almost identically,” it suggests they often rise and fall together despite different labels. This reduces the diversification benefit between those two slices, even though one targets small caps and the other large caps. At the broader portfolio level, such correlations mean some regional or style buckets may be less distinct than they appear.
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 risk vs. return chart shows the current portfolio delivering 18.48% expected return with 17.97% risk, for a Sharpe ratio of 0.81. The Sharpe ratio compares excess return over a risk‑free rate to volatility, so higher values indicate better risk‑adjusted performance. The efficient frontier, built only from these existing holdings, indicates that an alternative weighting could reach a Sharpe of 1.12 at slightly higher risk, while the minimum‑variance mix offers lower risk with a Sharpe of 0.87. Because the current portfolio sits about 2.74 percentage points below the frontier, the same ingredients could, in theory, be combined more efficiently.
The portfolio’s total dividend yield is about 1.20%, which is on the lower side compared with many broad equity income strategies. Yields vary widely across holdings: international value and international momentum ETFs show higher payouts, while the dedicated tech and momentum funds yield much less. Dividends matter because they can provide a steady return component that doesn’t depend on price gains, but they’re only one part of total return. This mix leans more on capital appreciation than cash income, which fits with the growth and factor‑tilted focus rather than an income‑oriented approach.
Average ongoing fund costs, measured by Total Expense Ratio (TER), are about 0.17% per year. TER is the annual fee charged by each ETF, expressed as a percentage of assets, and it quietly reduces returns over time. This blended cost level is relatively low for a portfolio using several specialized factor and international strategies, and it compares favorably with many active funds. Lower costs leave more of the portfolio’s gross return in the investor’s hands, which compounds meaningfully over long horizons. From a structural standpoint, the fee profile is a strong point and supports the growth‑oriented design.
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