This portfolio is a focused mix of nine ETFs with clear concentration in a few risk drivers. Around 30% sits in a semiconductor ETF, with another 40–45% in targeted themes like copper, gold, uranium, junior silver miners, and an Nvidia-focused options-income fund. Broad market exposure appears mainly through the S&P 500 and a major tech index, together at 15%, plus 10% in an international high-dividend fund. That structure means the portfolio is growth-oriented and thematically concentrated rather than broadly indexed. When a handful of themes dominate, overall behavior tends to follow those themes closely, which can lead to strong performance in favorable environments and larger swings when those areas cool off.
Over the period from May 2023 to May 2026, $1,000 in this portfolio grew to about $2,998, which is extremely strong growth. The compound annual growth rate (CAGR) of 44.9% far exceeded both the US market and global market, which were around the low 20% range. CAGR is like an average yearly “speed” over the whole journey, smoothing out bumps. The maximum drawdown of -25.4% shows the deepest peak-to-trough fall, larger than either benchmark. Only 29 days delivered 90% of total returns, showing results were concentrated in a few powerful up days. This pattern is typical of high-growth, high-volatility portfolios that can both surge and pull back sharply.
The Monte Carlo projection uses past volatility and returns to simulate many possible 15-year futures. Think of it as rolling the dice 1,000 times using historical patterns as a guide, not a promise. The median outcome grows $1,000 to about $2,615, with a wide “likely” band from roughly $1,783 to $3,883. The broad 5th–95th percentile range runs from almost flat ($1,027) to very strong growth ($6,921). The average simulated annual return is 7.62%, and about 74% of simulations end positive. These results highlight both return potential and meaningful uncertainty: long-run outcomes fan out widely, and past patterns may not repeat, especially for concentrated themes.
Asset class exposure is dominated by equities at 87%, with bonds at 11% and a small 2% in “other” assets. Equities represent ownership in companies and typically drive both growth and volatility. Bonds, by contrast, usually provide steadier income and can help dampen swings, though their 11% share here is modest. This tilt toward stocks aligns with a growth-focused risk profile rather than capital preservation. Compared with broad global blended portfolios, the equity slice is higher than average, which helps explain both the strong historical performance and the deeper drawdowns. The mix suggests that equity market cycles, especially in the chosen themes, are the primary engine behind the portfolio’s ups and downs.
This breakdown covers the equity portion of your portfolio only.
Sector exposure is heavily skewed toward Technology at 37% and Basic Materials at 26%, with Energy at 11%. The remaining sectors—financials, telecom, consumer areas, industrials, health care, and utilities—are all in low single digits. In broad market benchmarks, technology is important but not usually this dominant, and materials and energy are typically smaller slices. Here, the focus on semiconductors and commodity-related miners makes sector risk more concentrated. These sectors can be highly cyclical and sensitive to things like commodity prices, capital spending, and interest rates. This structure means portfolio performance is likely to move strongly with tech innovation cycles and metals/energy supply-demand dynamics, rather than reflecting a balanced slice of the overall economy.
This breakdown covers the equity portion of your portfolio only.
Geographically, about 65% of the portfolio’s look-through equity exposure is in North America, with smaller allocations to developed Europe, Australasia, Japan, and emerging Asia. This is a clear home bias toward North America, but still more globally spread than a pure domestic portfolio. Many global indices have a similar North America tilt, so this allocation is directionally aligned with common benchmarks. The presence of exposures in emerging markets, Europe, and other regions adds some geographic diversification. However, the sector and thematic focus means that even foreign holdings may be tied to similar drivers, like global demand for chips or metals, so country diversification may not fully offset shared industry risks.
This breakdown covers the equity portion of your portfolio only.
By market capitalization, the portfolio splits across mega-cap (28%), large-cap (31%), mid-cap (20%), and smaller positions in small- and micro-caps. Market cap simply measures company size by stock market value. This structure mixes globally dominant firms with more specialized mid- and small-cap names, which often come from niche or early-stage industries. Larger companies can provide some stability and liquidity, while smaller ones can bring higher growth potential but also sharper volatility. Relative to a typical large-cap-focused index, there is a meaningful tilt toward mid- and smaller-cap areas, consistent with the specialized mining and thematic ETFs. That spread across sizes supports diversification, but the themes themselves still drive much of the risk.
This breakdown covers the equity portion of your portfolio only.
The look-through data shows meaningful overlap in certain names. NVIDIA, Broadcom, Micron, Intel, AMD, Marvell, and Texas Instruments all appear across multiple ETFs, creating a cluster of semiconductor exposure even beyond the single dedicated semiconductor fund. Uranium and gold miners like Cameco, NexGen, and Newmont also show up in more than one holding. Because only ETF top-10 positions are visible, overlap is likely understated. Hidden concentration happens when the same company shows up several times indirectly, which can amplify the impact of that stock’s moves on the entire portfolio. This reinforces the point that real diversification is less about the number of funds and more about what they actually own underneath.
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 shows a strong tilt toward momentum at 67%, with low exposure to value (25%) and low volatility (33%), while size, quality, and yield are roughly neutral. Factors are like underlying “traits” that drive returns—momentum means favoring stocks that have been strong recently. High momentum exposure often does well when trends persist but can hurt during sharp reversals as previous winners fall out of favor. Low value exposure suggests the portfolio leans away from cheaper, more “out-of-favor” stocks, and the low volatility reading signals a preference for more volatile names. Combined, this paints a picture of a growth- and trend-oriented portfolio that may be more sensitive to sentiment shifts and market rotations than a factor-balanced approach.
Risk contribution data highlights how certain positions drive volatility. The semiconductor ETF holds 30% weight but contributes about 37% of total portfolio risk, meaning it punches above its size. Gold-plus-miners and uranium miners, each at 10% weight, contribute slightly over 11% of risk apiece, and together with semiconductors, the top three positions generate nearly 60% of total risk. Risk contribution measures how much each holding adds to overall ups and downs, which can differ from simple weight. Here, thematically concentrated and more volatile ETFs naturally dominate risk. This shows that even though the portfolio has nine funds, day-to-day and year-to-year behavior is largely driven by a few key thematic exposures.
The main correlation highlight is that Invesco QQQ and the Vanguard S&P 500 ETF move almost identically. Correlation measures how often assets move together: high correlation means they tend to go up and down at the same time. Because these two funds track large, overlapping slices of the US equity market—especially big growth-oriented companies—it’s normal that they behave similarly. This also means that, from a diversification standpoint, holding both doesn’t add much new movement pattern; they reinforce the same broad US large-cap exposure. Within the full portfolio, the bigger diversification driver likely comes from pairing these broad indices with less correlated themes like miners and commodities, though those themes can have their own internal correlations.
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 below the efficient frontier by about 5.2 percentage points at its risk level. The efficient frontier shows the best possible trade-off between risk (volatility) and expected return using only the existing holdings in different weights. The Sharpe ratio, which measures return per unit of risk above the risk-free rate, is 1.49 for the current mix versus 1.83 for the optimal allocation and 1.52 for the minimum-variance version. This suggests that simply reweighting the same ETFs—without changing the lineup—could potentially improve risk-adjusted returns. Importantly, this is based entirely on historical data, which may not predict future relationships perfectly.
The portfolio’s total yield is about 8.04%, but that figure is heavily influenced by the YieldMax NVDA option income fund at an extremely high stated yield. Dividend yield is the annual cash distribution divided by price, and here it blends traditional dividends from miners and dividend-focused ETFs with option income. Funds like the Vanguard international high dividend ETF provide more conventional, moderate income streams, while the options-based fund’s yield can be more variable and tied to volatility and option strategies. High headline yields can boost cash flows but may also come with trade-offs such as capped upside or higher strategy risk. Overall, income is a significant component of expected returns in this portfolio, not just a side feature.
The combined total expense ratio (TER) is about 0.42%, which is moderate for a portfolio blending broad market and specialized thematic ETFs. TER is the annual fee charged by a fund, taken directly from its assets, so it quietly reduces returns over time. Some holdings, like the Vanguard S&P 500 ETF at 0.03%, are extremely low-cost and align with best practices for broad indexing. Others, especially the options-income and niche mining funds, charge higher fees in the 0.65–1.01% range, reflecting specialized strategies. Overall, the cost level is reasonable given the focus on more complex themes, but the higher-fee segments will have a larger impact on long-term net performance if they underperform simpler alternatives.
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