Strong US growth portfolio with heavy technology and momentum tilt over a very short track record
Report created on May 11, 2026Risk profile
5/7
Diversification profile
3/5
Positions
-
VO Vanguard S&P 500 ETF
VOO - US9229083632 60.00% -
VX Vanguard Total International Stock Index Fund ETF Shares
VXUS - US9219097683 15.00% -
SO iShares Semiconductor ETF
SOXX - US4642875235 10.00% -
SP Invesco S&P 500® Momentum ETF
SPMO - US46138E3392 10.00% -
DR Roundhill Memory ETF
DRAM 5.00%
This portfolio is made up entirely of equity ETFs, with 60% in a broad US large-cap fund, 15% in a broad international stock ETF, and 25% in more focused growth and technology themes. That mix means most of the weight sits in diversified index-style holdings, while a quarter is in more specialized areas like semiconductors, memory, and momentum-driven stocks. Because the data history is only about a month, any conclusions about how this structure behaves over full market cycles are very tentative. Structurally, though, the core-plus-satellites setup is clear: a diversified backbone with higher-octane add-ons that can meaningfully influence short-term ups and downs.
Growth
Over the brief one‑month window, a hypothetical $1,000 grew to about $1,214, far ahead of both US and global market benchmarks. That translates into a huge annualized CAGR number (over 500%), but this is mostly a math quirk from using such a short period rather than a realistic long‑run expectation. Max drawdown, the worst peak‑to‑trough drop, was small at around -1.2%, and returns were concentrated in just a handful of days. With only a month of data, these figures mainly show that the portfolio caught a strong short-term upswing, not that it reliably outperforms in the long run.
Projection
The forward projection uses a Monte Carlo simulation, which basically replays and reshuffles historical return patterns thousands of times to create many possible 15‑year paths. Here, the “most likely” outcome turns $1,000 into around $2,616, with a broad range of roughly $1,004 to $7,097 across the 5th to 95th percentiles. The average annual return across simulations lands near 7.8%. Because the input history is just about a month, the model is leaning heavily on that brief, unusually strong period. That makes these projections much less reliable than usual, so they’re best seen as a rough illustration of volatility, not a firm forecast.
Asset classes
- Stocks 95%
- No data 5%
On the asset class side, 95% of the portfolio is in stocks, with 5% labeled as “no data,” which simply means the system can’t classify those pieces. A 95% equity allocation is clearly growth‑oriented and tends to move closely with stock markets over time. Equities generally offer higher return potential than bonds or cash, but also larger swings in value. There is essentially no stabilizing allocation to fixed income or similar assets showing here, so the overall risk level is driven almost entirely by stock market behavior. Given the short history, that risk hasn’t fully shown up yet in the numbers.
Sectors
- Technology 38%
- Financials 11%
- Industrials 9%
- Telecommunications 8%
- Health Care 8%
- Consumer Discretionary 7%
- Consumer Staples 4%
- Energy 4%
- Basic Materials 3%
- Utilities 2%
- Real Estate 2%
Sector-wise, technology stands out at 38% of the equity exposure, well above what’s typical in broad global indexes. The rest is more evenly spread across financials, industrials, telecom, healthcare, consumer areas, energy, materials, utilities, and real estate, which is a healthy sign for diversification outside that tech overweight. Tech-heavy portfolios often benefit disproportionately when innovation-related names are in favor, but they can be more volatile during rate hikes or shifts in growth expectations. The strong sector concentration matches what you’d expect from dedicated semiconductor and memory ETFs layered on top of large US and international index funds.
Regions
- North America 80%
- Europe Developed 6%
- Asia Developed 3%
- Japan 2%
- Asia Emerging 2%
- Australasia 1%
- Africa/Middle East 1%
Geographically, the portfolio is heavily tilted toward North America at around 80%, with relatively small slices in Europe, developed Asia, Japan, emerging Asia, Australasia, and Africa/Middle East. That US‑centric stance is common in many portfolios and has historically looked good in certain periods, but it also ties results closely to one region’s economy, currency, and policy environment. The 15% allocation to a broad international ETF does add some global diversification, especially outside the US, yet the overall pattern still leans strongly toward North American markets. With only a month of history, regional resilience in different environments hasn’t really been tested yet here.
Market capitalization
- Mega-cap 42%
- Large-cap 35%
- Mid-cap 16%
- Small-cap 1%
By market capitalization, the portfolio is anchored in mega-cap and large-cap companies, together making up over three quarters of the exposure. Mid-caps add another 16%, with only about 1% in small caps. Larger companies tend to be more established, often with more diversified businesses and easier trading, which can sometimes mean smoother price behavior compared to tiny firms. This large‑cap tilt also lines up with the core index ETFs used. Smaller allocations to mid and small caps still bring in some higher-growth, higher-volatility names, but they probably don’t dominate overall behavior. The short return history hasn’t really captured how these different size segments behave across a full cycle.
True holdings
-
NV NVIDIA Corporation 6.11%
Part of fund(s):- Invesco S&P 500® Momentum ETF
- Vanguard S&P 500 ETF
- iShares Semiconductor ETF
-
AA Apple Inc 4.00%
Part of fund(s):- Vanguard S&P 500 ETF
-
AV Broadcom Inc 3.11%
Part of fund(s):- Invesco S&P 500® Momentum ETF
- Vanguard S&P 500 ETF
- iShares Semiconductor ETF
-
MS Microsoft Corporation 2.95%
Part of fund(s):- Vanguard S&P 500 ETF
-
GO Alphabet Inc Class A 2.34%
Part of fund(s):- Invesco S&P 500® Momentum ETF
- Vanguard S&P 500 ETF
-
AM Amazon.com Inc 2.18%
Part of fund(s):- Vanguard S&P 500 ETF
-
GO Alphabet Inc Class C 1.87%
Part of fund(s):- Invesco S&P 500® Momentum ETF
- Vanguard S&P 500 ETF
-
MU Micron Technology Inc 1.67%
Part of fund(s):- Invesco S&P 500® Momentum ETF
- iShares Semiconductor ETF
-
00 SK Hynix Inc 1.41%
Part of fund(s):- Roundhill Memory ETF
- Vanguard Total International Stock Index Fund ETF Shares
-
ME Meta Platforms Inc. 1.34%
Part of fund(s):- Vanguard S&P 500 ETF
- Top 10 total 26.98%
Looking through ETF top holdings, there is meaningful concentration in a handful of big tech and semiconductor names. NVIDIA alone shows up at just over 6% of the portfolio, with Apple, Broadcom, Microsoft, Alphabet (both share classes), Amazon, Micron, SK Hynix, and Meta all adding notable slices. Because overlap is measured only from ETF top‑10 lists, actual concentration may be a bit higher than shown. This kind of hidden overlap means several funds are riding similar underlying stories, especially in advanced chips and large US tech platforms. That helps explain the strong recent performance over the short period, but also increases reliance on a narrow group of companies.
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.
On factor exposure, the portfolio shows a very low tilt to Size (5%), meaning it’s strongly tilted away from smaller companies and toward larger ones. It also has high exposure to Momentum (75%), indicating a strong lean toward stocks that have been recent winners. Factor exposure is like checking which “traits” are most present in your holdings; momentum-heavy portfolios often do very well when trends persist but can see sharper moves when leadership flips. Size tilts toward large caps can reduce certain risks but also reduce exposure to some of the more explosive smaller names. Yield and low volatility sit near neutral, and value and quality aren’t available in the data.
Risk contribution
-
Vanguard S&P 500 ETF
Weight: 60.00% 36.7% -
iShares Semiconductor ETF
Weight: 10.00% 18.8% -
Vanguard Total International Stock Index Fund ETF Shares
Weight: 15.00% 16.9% -
Roundhill Memory ETF
Weight: 5.00% 15.6% -
Invesco S&P 500® Momentum ETF
Weight: 10.00% 12.1%
Risk contribution shows how much each holding drives the portfolio’s overall ups and downs, which can differ a lot from simple weight. Here, the 60% S&P 500 ETF contributes about 37% of total risk, less than its weight, suggesting it’s relatively stabilizing versus other positions. In contrast, the 5% Roundhill Memory ETF contributes over 15% of total risk, more than three times its weight, and the 10% semiconductor ETF also punches above its weight in risk terms. The top three holdings account for about 72% of total portfolio risk. This pattern is typical when a diversified core is combined with very volatile satellite positions.
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 risk‑return chart compares the current mix to an “efficient frontier,” which is the best possible trade‑off between risk and expected return using only these existing holdings. The current portfolio sits noticeably below that frontier at its risk level, with a Sharpe ratio of 10.25 versus 11.91 for the optimal mix. The Sharpe ratio is a way of measuring return per unit of risk, after adjusting for a risk‑free rate like cash. Being below the frontier suggests that simply changing weights among the same ETFs could have historically improved risk‑adjusted returns. Because this calculation is based on a very short period with unusually strong returns, the exact numbers should be treated cautiously.
Dividends
- iShares Semiconductor ETF 0.30%
- Invesco S&P 500® Momentum ETF 0.70%
- Vanguard S&P 500 ETF 1.10%
- Vanguard Total International Stock Index Fund ETF Shares 2.70%
- Weighted yield (per year) 1.16%
The overall dividend yield is around 1.16%, with the international ETF contributing the highest yield at about 2.7% and the chip and momentum funds offering much lower payouts. Dividends are the regular cash payments some companies make to shareholders, and over longer horizons they can be a meaningful part of total return. In this portfolio, the relatively modest yield is typical for growth‑leaning, tech‑heavy allocations, where companies often reinvest more earnings instead of paying them out. Over just a month of history, the role of dividends barely shows up in performance, but structurally this looks like a portfolio that leans more on price appreciation than on income.
Ongoing product costs
- iShares Semiconductor ETF 0.35%
- Invesco S&P 500® Momentum ETF 0.13%
- Vanguard S&P 500 ETF 0.03%
- Vanguard Total International Stock Index Fund ETF Shares 0.05%
- Weighted costs total (per year) 0.07%
Cost-wise, the portfolio is very efficient. The weighted ongoing charge, or TER, is about 0.07%, which is extremely low by industry standards for a multi‑ETF equity mix. TER (Total Expense Ratio) is the annual fee charged by the fund provider, quietly deducted from returns. The lowest-cost holdings here are the broad Vanguard funds at 0.03% and 0.05%, while the more specialized semiconductor and memory exposures are understandably pricier. Low costs don’t guarantee better returns, but they reduce the drag over time, letting more of any market gains stay in the portfolio. This fee structure is a clear strength and aligns well with cost‑conscious best practices.
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