Concentrated US growth portfolio with strong value tilt and tech focus based on short performance window
Report created on Jun 22, 2026Risk profile
5/7
Diversification profile
3/5
Positions
-
AV American Century ETF Trust - Avantis U.S. Large Cap Value ETF
AVLV - US0250723493 60.00% -
AI VistaShares Artificial Intelligence Supercycle ETF
AIS 20.00% -
SG SMART Earnings Growth 30 ETF
SGRT 20.00%
This portfolio is made up of three equity ETFs, with 60% in a US large-cap value fund and 40% split evenly between two growth-focused strategies. Everything is in stocks, with no bonds or cash in the mix. That structure clearly leans toward capital growth rather than stability or income. Because there are only three holdings, every position meaningfully shapes how the portfolio behaves day to day. The short 10‑month data history means any observed behaviour might be heavily influenced by recent market conditions rather than long-term tendencies, so patterns seen so far should be treated as early signals rather than established characteristics.
Growth
Over the roughly 10‑month period, $1,000 in this portfolio grew to about $1,739, implying a very high annualised return near 95%. That easily outpaced both the US and global market benchmarks over the same window. The maximum drawdown, or worst peak‑to‑trough drop, was about -10%, similar to the benchmarks, so the ride down so far has not been unusually deep. However, this is a very short and strong market phase, and compounding rates over less than a year can be misleading. Past performance, especially over such a brief period, does not reliably indicate how this mix is likely to behave over many years.
Projection
The Monte Carlo projection uses the short return history to simulate many possible 15‑year paths, giving a wide range of outcomes. It shows a median result where $1,000 grows to around $2,745, with most simulations falling between about $1,805 and $4,137. Monte Carlo is basically “re‑rolling the dice” on past ups and downs to see many futures, not predicting a single path. Because the input data covers only about 10 months, the model may be over‑influenced by recent strength and limited volatility, so both the return estimates and risk ranges should be read as rough scenarios rather than firm expectations.
Asset classes
- Stocks 100%
All of this portfolio is invested in stocks, with 0% in bonds, cash, or alternative assets. That creates a clear growth orientation and avoids the dampening effect that fixed income can have on volatility. A 100% equity allocation can capture more of the long‑term upside of markets but can also amplify short‑term swings, especially during broad downturns. Relative to more mixed asset allocations, this structure relies entirely on equity diversification across sectors, regions, and company sizes for risk management. With only a brief performance history, the true range of potential equity‑only drawdowns has not yet been fully tested in tougher market conditions.
Sectors
- Technology 37%
- Industrials 14%
- Financials 11%
- Consumer Discretionary 9%
- Energy 9%
- Telecommunications 8%
- Consumer Staples 4%
- Basic Materials 3%
- Health Care 3%
Sector data shows a strong tilt toward technology at 37%, followed by industrials, financials, consumer discretionary, and energy. This gives the portfolio a growth‑oriented feel with a notable tech and cyclicals flavour, rather than being anchored in defensive sectors. Tech‑heavy allocations often benefit when innovation themes and risk appetite are strong but can be more sensitive when interest rates rise or sentiment turns. The mix across other sectors is reasonably spread, which helps avoid extreme single‑sector dependence. Still, because recent months have been favourable for technology and related areas, the sector performance picture so far may look more stable than it would through a full market cycle.
Regions
- North America 91%
- Asia Developed 5%
- Asia Emerging 2%
- Europe Developed 2%
- Latin America 1%
Geographically, about 91% of the portfolio is in North America, with small slices in developed and emerging Asia, Europe, and Latin America. This is a clear home‑country tilt and differs from global benchmarks that allocate more to non‑US markets. Concentrating in one major region can be helpful when that market leads, but it also ties the portfolio closely to that region’s economic conditions, policies, and currency. The smaller allocations elsewhere offer only limited diversification if North America experiences a period of relative underperformance. Because the analysis window is short, the benefits or risks of this geographic concentration have not yet been tested across varying global cycles.
Market capitalization
- Mid-cap 30%
- Large-cap 29%
- Mega-cap 25%
- Small-cap 13%
- Micro-cap 1%
The market cap breakdown is fairly balanced across mega‑, large‑, and mid‑caps, with some exposure to small and micro‑caps. That means the portfolio blends very large, established companies with more mid‑sized and smaller names that can be more volatile but offer higher growth potential. This spread across sizes can smooth out some company‑specific risk compared with being purely in small caps, while still adding a growth tilt compared with a mega‑cap‑only approach. However, size effects often play out over many years. With less than a year of data, it’s hard to say how these different size buckets will interact over a full economic cycle for this specific mix.
True holdings
-
MU Micron Technology Inc 5.37%
Part of fund(s):- American Century ETF Trust - Avantis U.S. Large Cap Value ETF
- SMART Earnings Growth 30 ETF
- VistaShares Artificial Intelligence Supercycle ETF
-
00 SK Hynix Inc 2.20%
Part of fund(s):- VistaShares Artificial Intelligence Supercycle ETF
-
VR Vertiv Holdings Co 1.99%
Part of fund(s):- SMART Earnings Growth 30 ETF
- VistaShares Artificial Intelligence Supercycle ETF
-
AM Advanced Micro Devices Inc 1.95%
Part of fund(s):- SMART Earnings Growth 30 ETF
- VistaShares Artificial Intelligence Supercycle ETF
-
GO Alphabet Inc Class C 1.85%
Part of fund(s):- SMART Earnings Growth 30 ETF
-
GO Alphabet Inc Class A 1.84%
Part of fund(s):- SMART Earnings Growth 30 ETF
-
AA Apple Inc 1.83%
Part of fund(s):- American Century ETF Trust - Avantis U.S. Large Cap Value ETF
-
AM Amazon.com Inc 1.73%
Part of fund(s):- American Century ETF Trust - Avantis U.S. Large Cap Value ETF
-
XO Exxon Mobil Corp 1.56%
Part of fund(s):- American Century ETF Trust - Avantis U.S. Large Cap Value ETF
-
ME Meta Platforms Inc. 1.50%
Part of fund(s):- American Century ETF Trust - Avantis U.S. Large Cap Value ETF
- Top 10 total 21.82%
Looking through the top holdings of the ETFs, several well‑known technology and growth companies appear, such as Micron, AMD, Alphabet, Apple, Amazon, and Meta, as well as names in energy and industrials like Exxon and Vertiv. Some of these show up via multiple ETFs, creating overlap that increases effective exposure beyond what a simple three‑fund view suggests. For instance, Micron alone represents over 5% on a look‑through basis. Because only top‑10 ETF holdings are included, actual overlap is probably higher. This hidden concentration means that a handful of large growth and tech‑related companies quietly drive a meaningful portion of portfolio behaviour.
Factors
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 data shows high tilts toward value, momentum, and low volatility, with very low exposure to the size factor and a low yield tilt. Factors are like investing “ingredients” that explain why groups of stocks behave similarly. A high value tilt means the holdings lean toward cheaper‑priced companies relative to fundamentals, while high momentum implies many positions have recently been strong performers. High low‑volatility exposure points to stocks that historically moved less than the market. The combination suggests a mix of recently strong, relatively stable, and attractively valued names, rather than smaller or high‑dividend companies. Since these tilts are measured over a short period, they may evolve as more data accumulates.
Risk contribution
-
VistaShares Artificial Intelligence Supercycle ETF
Weight: 20.00% 38.0% -
American Century ETF Trust - Avantis U.S. Large Cap Value ETF
Weight: 60.00% 31.4% -
SMART Earnings Growth 30 ETF
Weight: 20.00% 30.6%
Risk contribution shows how much each holding drives the portfolio’s overall ups and downs, which can differ a lot from simple weights. Here, the AI Supercycle ETF is 20% of the capital but contributes about 38% of the risk, almost double its weight. The SMART Earnings Growth ETF, also 20% by weight, adds roughly 31% of the risk. Meanwhile, the 60% large‑cap value ETF contributes only about 31% of risk, much less than its size would suggest. In plain terms, the growth and AI themes are the loud instruments in the orchestra, while the larger value sleeve plays a more stabilising, quieter role in day‑to‑day volatility.
Risk vs. return
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 compares this portfolio’s risk and return to other mixes using the same three ETFs. The current mix sits below the frontier by about 4.8 percentage points at its risk level, with a Sharpe ratio of 2.8 versus 3.2 for the optimal Sharpe portfolio. The Sharpe ratio is a way of measuring return per unit of risk, after accounting for a risk‑free rate. Being below the frontier suggests that, based on recent data, different weightings of these same ETFs could have delivered better risk‑adjusted results. Because the inputs rely on a short and unusually strong period, these optimisation signals should be treated as tentative rather than definitive.
Dividends
- American Century ETF Trust - Avantis U.S. Large Cap Value ETF 1.40%
- SMART Earnings Growth 30 ETF 0.10%
- Weighted yield (per year) 0.86%
The overall dividend yield of the portfolio is modest at around 0.86%, with the large‑cap value ETF contributing most of that and the growth‑focused ETF showing a near‑zero yield. Dividends are cash payouts from companies and can provide a steady return component, especially in more income‑oriented portfolios. Here, the low yield underscores that the focus is on price appreciation rather than current income. Over long periods, reinvested dividends can significantly boost total returns, but in this case they are likely to be a relatively small part of the outcome. The short observation period also means the actual pattern of dividends over time is not yet visible.
Ongoing product costs
- American Century ETF Trust - Avantis U.S. Large Cap Value ETF 0.15%
- Weighted costs total (per year) 0.09%
The total expense ratio (TER) for the portfolio is low at about 0.09%, with the large‑cap value ETF at 0.15% and the others evidently also in a low‑cost range. TER is the annual fee charged by funds, taken out of returns behind the scenes. Low costs are a notable strength here, because even small percentage differences can add up meaningfully over many years when compounding. With a low TER, more of the portfolio’s gross performance flows through to the investor. This cost profile is well‑aligned with widely cited best practices for long‑term investing and provides a solid structural foundation, regardless of how markets behave.
What next?
Ready to invest in this portfolio?
Select a broker that fits your needs and watch for low fees to maximize your returns.
Create your own report?
Join our community!
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.
Help us improve Insightfolio
Your feedback makes a difference! Share your thoughts in our quick survey. Take the survey