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 almost entirely in stock ETFs, with about 99% in equities and just 1% in bonds. Roughly half sits in a broad US large-cap fund, with the rest spread across developed ex-US, emerging markets, US growth, small caps, momentum, and quality-factor ETFs. This is a textbook growth-oriented mix, prioritizing capital appreciation over stability or income. A structure like this makes sense for long horizons and investors who can live with bigger swings in value. The main takeaway is that this is an equity-heavy, ETF-only setup with simple building blocks, which is great for clarity but does mean short-term volatility will be a normal part of the ride.
From 2016 to early 2026, $1,000 grew to about $3,453, which is a compound annual growth rate (CAGR) of 15.08%. CAGR is like your average yearly “speed” over the whole journey, smoothing out good and bad years. The portfolio’s max drawdown was about -34% during the COVID crash, very similar to the US and global markets. Against benchmarks, it slightly trailed the US market by ~1% per year but beat the global market by ~1.9% per year. That’s a solid outcome: near-US-like performance with broader diversification, and drawdowns in line with major indices, which is exactly what you’d want from a growth-tilted, diversified equity mix.
The Monte Carlo projection simulates many possible 15-year paths using past return and volatility patterns, then shows a distribution of outcomes. It’s like running 1,000 alternate futures to see the range of where $1,000 might land. The median outcome of about $2,799 implies an annualized return around 8%, with a 25–75% “likely” range of roughly $1,796–$4,287. There’s a roughly 74% chance of finishing positive. This is consistent with a growth-oriented stock portfolio: attractive long-run return potential, but with wide uncertainty. Remember, these simulations rely on historical behavior; they’re a guide, not a promise, and real markets can be kinder or harsher than the model assumes.
Across asset classes, the portfolio is extremely equity-heavy: 99% stocks and only 1% bonds. That’s very much in line with an aggressive or growth risk profile. Stocks historically deliver higher long-term returns than bonds but can fall much more sharply in downturns. The almost negligible bond slice means there’s very little natural cushion when markets drop. On the plus side, this structure maximizes exposure to the long-term upside of global businesses, which is great for multi-decade horizons. The key trade-off is comfort with deep, occasionally scary drawdowns; this setup is well aligned with growth investors but not with short-term capital protection needs.
Sector-wise, technology sits at about 30%, clearly the largest slice, followed by financials, industrials, consumer discretionary, and health care. This tech tilt is roughly in line with or slightly above many broad market benchmarks, and it reflects how much today’s indices are dominated by tech-related names. Tech-heavy allocations often do very well in periods of innovation and low interest rates, but they can be hit hard when rates rise or sentiment swings away from growth stories. The good news is that other sectors are still meaningfully represented, which helps diversification. Overall, this sector mix is modern and reasonably balanced, but it will be sensitive to the tech cycle.
Geographically, about 74% is in North America, with modest allocations to developed Europe, Japan, developed Asia, and smaller slices in emerging regions. This is a clear tilt toward the US and its neighbors, which is normal for many investors and close to common global index weights where the US dominates. The upside: you’re heavily exposed to some of the world’s most profitable and innovative companies, and this has been rewarded over the past decade. The trade-off is that returns are strongly linked to one economy and currency. While there is non-US exposure, big moves in the US market will still largely define the portfolio’s experience.
By market capitalization, the portfolio leans strongly into mega- and large-cap companies (about 75% combined), with smaller but meaningful exposure to mid caps and a small slice in small and micro caps. Larger companies tend to be more stable, widely researched, and more similar to “the market” overall. Smaller companies can offer higher growth potential but usually come with bumpier rides. Here, the structure is quite close to a classic broad-market tilt with a gentle boost from small caps. That’s a healthy balance: you get the core stability and liquidity of big names, plus some exposure to the extra growth (and volatility) that smaller firms can deliver over long periods.
Looking through the ETFs, the largest underlying exposures are familiar mega-cap names like NVIDIA, Apple, Microsoft, Broadcom, Alphabet, Amazon, Meta, Tesla, and TSMC. Several of these appear in multiple ETFs, which creates “hidden” concentration even without owning any single stock directly. For example, NVIDIA at 5.5% and Apple at 4.24% are sizeable look-through positions. This overlap is partly by design in a US-heavy equity portfolio, but it does mean big tech and related giants quietly drive a lot of outcomes. The main lesson: even diversified ETFs can cluster around the same stars, so overall concentration in a handful of companies is higher than it first appears.
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 is very balanced across value, size, momentum, quality, yield, and low volatility, all sitting essentially around “neutral.” Factor exposure is how much a portfolio leans into specific traits research has linked to returns, like cheapness (value) or recent winners (momentum). A neutral profile means the holdings behave a lot like the overall market rather than making big bets on any one style. That’s actually a strength: it avoids hidden tilts that can do very well in one regime and then sharply underperform when the environment shifts. In practice, this should feel similar to a broad global equity index, which is a solid, low-maintenance core approach.
Risk contribution shows how much each ETF adds to the portfolio’s overall ups and downs, which can differ from simple weight. Here, the core S&P 500 fund is 44% of the portfolio but contributes about 45% of the risk, so its influence is roughly proportional. The developed markets and emerging markets funds each contribute slightly less risk than their weights, while the Russell 1000 Growth fund is a bit “riskier” than its size suggests. Importantly, the top three positions drive over 71% of total risk, which is meaningful concentration. That’s not inherently bad, but it does mean those core funds largely determine how the portfolio behaves day to day.
Some ETFs here move almost identically, especially the S&P 500 fund versus the US quality and Russell 1000 growth ETFs. Correlation describes how closely two assets move together; when it’s very high, they rise and fall in sync. Holding multiple highly correlated funds can limit diversification benefits because, in a downturn, they can all drop at once. On the other hand, small differences in strategy can still matter over time, and these funds target slightly different slices of the US market. The main takeaway is that while this mix looks varied by label, a big chunk is effectively one US equity bet, just sliced a few different ways.
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–return analysis shows the current portfolio has an expected return of roughly 15.6% with volatility of 18.4%, giving a Sharpe ratio of 0.63. The Sharpe ratio measures return per unit of risk, after accounting for a risk-free rate, so higher is better. The “optimal” mix of these same holdings along the efficient frontier has a Sharpe of 0.93, meaning better risk-adjusted performance could be achieved just by reweighting what’s already here. The current allocation sits about 2.6 percentage points below the frontier at its risk level, so there is room to improve efficiency. The good news is that the building blocks are strong; it’s mostly about fine-tuning the proportions.
The overall dividend yield sits around 1.53%, which is modest and typical for a growth-leaning equity portfolio. Yield is the income you get from dividends relative to your investment, separate from price changes. Most of the income here comes from the bond fund and the international and emerging markets ETFs, which pay more than the US growth-oriented pieces. This setup fits an investor focused more on long-term growth than on generating steady cash flow to spend. For someone reinvesting distributions, even a modest yield can meaningfully boost compounding over time, but this is not an income-focused structure and won’t throw off large regular payouts.
The weighted ongoing cost (TER) of about 0.06% per year is impressively low. TER, or total expense ratio, is the annual fee charged by funds as a percentage of your investment. It’s like a tiny drag on performance every year, and over decades even small differences compound into real money. Here, nearly all ETFs are ultra-low-cost index or factor funds, which is a major strength of the portfolio. It means more of the returns generated by the market stay in your pocket rather than going to fees. From a cost perspective, this is very close to best practice and supports better long-term outcomes.
Select a broker that fits your needs and watch for low fees to maximize your returns.
The information provided on this platform is for informational purposes only and should not be considered as financial or investment advice. Insightfolio does not provide investment advice, personalized recommendations, or guidance regarding the purchase, holding, or sale of financial assets. The tools and content are intended for educational purposes only and are not tailored to individual circumstances, financial needs, or objectives.
Insightfolio assumes no liability for the accuracy, completeness, or reliability of the information presented. Users are solely responsible for verifying the information and making independent decisions based on their own research and careful consideration. Use of the platform should not replace consultation with qualified financial professionals.
Investments involve risks. Users should be aware that the value of investments may fluctuate and that past performance is not an indicator of future results. Investment decisions should be based on personal financial goals, risk tolerance, and independent evaluation of relevant information.
Insightfolio does not endorse or guarantee the suitability of any particular financial product, security, or strategy. Any projections, forecasts, or hypothetical scenarios presented on the platform are for illustrative purposes only and are not guarantees of future outcomes.
By accessing the services, information, or content offered by Insightfolio, users acknowledge and agree to these terms of the disclaimer. If you do not agree to these terms, please do not use our platform.
Instrument logos provided by Elbstream.
Your feedback makes a difference! Share your thoughts in our quick survey. Take the survey