Highly concentrated US growth portfolio with strong tech tilt and standout recent performance
Report created on Apr 13, 2026Risk profile
- Secure Speculative
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.
Diversification profile
- Focused Diversified
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.
Positions
-
VO Vanguard S&P 500 ETF
VOO - US9229083632 51.00% -
QQ Invesco NASDAQ 100 ETF
QQQM - US46138G6492 39.00% -
NV NVIDIA Corporation
NVDA - US67066G1040 6.00% -
GO Alphabet Inc Class C
GOOG - US02079K1079 4.00%
The portfolio is very focused: two broad US equity ETFs make up 90% of the allocation, with the rest in two individual growth stocks. Everything is in stocks, with no bonds or alternatives. This creates a clean, straightforward structure that’s easy to follow and monitor. A setup like this is typical for a growth-oriented investor who wants market exposure with an extra tilt toward large, innovative companies. The flip side is that, without any defensive assets, returns will move strongly with the stock market cycle. A practical takeaway is that this structure works best when paired with a stable cash buffer or other safer assets held elsewhere, so short‑term needs aren’t exposed to equity swings.
Growth
Historically, the portfolio has done extremely well: a $1,000 investment grew to $2,751, with a compound annual growth rate (CAGR) of 20.38%. CAGR is the “average yearly speed” of growth over the period. This comfortably beat both the US market and global market by a wide margin. The price paid was a max drawdown of -32.3%, meaning the portfolio once fell about a third from peak to trough. That’s a serious dip, but it eventually recovered. This pattern shows classic growth behavior: strong upside with meaningful downside swings. It’s important to remember this is a particularly tech-friendly period; past returns at this pace are unlikely to repeat indefinitely.
Projection
The Monte Carlo simulation projects possible future paths by “replaying” many versions of history with random variations. Think of it as rolling the dice 1,000 times based on past volatility and returns to see a range of outcomes. For a 15‑year horizon, the median path turns $1,000 into about $2,926, with a wide but reasonable middle range between roughly $1,800 and $4,300. There’s also a non‑trivial chance of ending near flat in real terms. The average annual return across simulations is 8.34%, far lower than the recent 20%+ CAGR, which is a healthy, conservative contrast. This helps set expectations that future returns may be solid but likely bumpier and more modest than the recent boom.
Asset classes
- Stocks 100%
All assets here are equities, with 100% in stocks and 0% in bonds, cash surrogates, or alternatives. That’s textbook growth positioning: maximum exposure to market upside, but also full participation in equity downturns. Asset class diversification is what usually smooths the ride — for example, bonds often cushion falls when stocks drop. By design, this portfolio chooses not to use that cushion. This can make sense for a long time horizon and high risk tolerance, especially if other accounts or income provide safety. A sensible takeaway is that any need for stability or capital preservation probably has to be handled outside this portfolio, rather than inside it.
Sectors
- Technology 43%
- Telecommunications 16%
- Consumer Discretionary 10%
- Health Care 7%
- Financials 6%
- Consumer Staples 6%
- Industrials 6%
- Energy 2%
- Utilities 2%
- Basic Materials 1%
- Real Estate 1%
Sector exposure is strongly tilted toward technology at 43%, with additional weight in telecommunications and consumer discretionary. This lines up with growth leadership in recent years and has helped performance, especially with AI‑related and platform companies driving returns. But it also means the portfolio is quite sensitive to changes in interest rates, innovation cycles, and regulatory pressures that particularly affect these industries. Compared with a more evenly spread sector mix, this structure can experience sharper swings when growth stocks fall out of favor. The positive side is that it aligns well with an investor who explicitly wants to lean into innovation and is comfortable with sector‑specific volatility.
Regions
- North America 99%
- Europe Developed 1%
Geographically, the portfolio is almost entirely tied to North America, at 99%, with only a token allocation to developed Europe. This mirrors a heavy home‑bias and also reflects where the main global tech and platform companies are listed. Concentration in one region can work very well for long stretches, as the US has shown, but it also leaves results dependent on a single economy, regulatory regime, and currency. A more geographically balanced portfolio would usually include more exposure to other developed and emerging markets. Here, the clear choice is to double down on the US growth engine, which is coherent but sacrifices diversification benefits from other regions.
Market capitalization
- Mega-cap 53%
- Large-cap 32%
- Mid-cap 13%
Market capitalization exposure is dominated by mega‑caps at 53%, with large‑caps at 32% and a smaller slice in mid‑caps. This mirrors major US indices that tilt heavily toward the biggest firms. Mega‑caps tend to be more stable in business quality but can still be volatile in price, especially in fast‑moving sectors. Their large index weight means market‑wide news often hits them first. The relative lack of small‑caps means the portfolio may miss periods when smaller companies lead, but it also avoids some of the higher risk associated with those names. Overall, this cap profile is well‑aligned with mainstream benchmarks, just with extra emphasis on the very largest growth stories.
True holdings
-
Part of fund(s):
- Invesco NASDAQ 100 ETF
- Vanguard S&P 500 ETF
-
Part of fund(s):
- Invesco NASDAQ 100 ETF
- Vanguard S&P 500 ETF
-
AA Apple Inc 6.36%
Part of fund(s):- Invesco NASDAQ 100 ETF
- Vanguard S&P 500 ETF
-
MS Microsoft Corporation 4.70%
Part of fund(s):- Invesco NASDAQ 100 ETF
- Vanguard S&P 500 ETF
-
AM Amazon.com Inc 3.56%
Part of fund(s):- Invesco NASDAQ 100 ETF
- Vanguard S&P 500 ETF
-
GO Alphabet Inc Class A 2.94%
Part of fund(s):- Invesco NASDAQ 100 ETF
- Vanguard S&P 500 ETF
-
ME Meta Platforms Inc. 2.55%
Part of fund(s):- Invesco NASDAQ 100 ETF
- Vanguard S&P 500 ETF
-
AV Broadcom Inc 2.48%
Part of fund(s):- Invesco NASDAQ 100 ETF
- Vanguard S&P 500 ETF
-
TS Tesla Inc 2.36%
Part of fund(s):- Invesco NASDAQ 100 ETF
- LS 1x Tesla Tracker ETP Securities GBP
- Vanguard S&P 500 ETF
-
WM Walmart Inc. Common Stock 1.34%
Part of fund(s):- Invesco NASDAQ 100 ETF
- Top 10 total 45.90%
Looking through the ETFs, there is a clear concentration in a handful of mega-cap tech and growth names. NVIDIA shows up both directly and inside the funds for a total exposure above 13%, and Alphabet tops 6% once you include the direct stock and ETF holdings. Apple, Microsoft, Amazon, and Meta all sit in the mid‑single digits through the ETFs alone. Overlap like this creates hidden concentration: many different tickers, but the same few companies driving returns. While these have been stellar performers recently, they tie the portfolio closely to the fortunes of a small set of big names. It’s a focused bet on continued leadership by today’s largest US growth 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.
Factor exposure is fairly balanced overall, with most factors near neutral. The main notable tilt is low value exposure at 35% and low size exposure at 36%. In factor terms, “value” refers to cheaper stocks versus expensive ones, and “size” to smaller companies versus larger ones. Being low on value and size effectively means a tilt toward large, growth‑oriented, more expensive companies — consistent with the holdings. Momentum, quality, yield, and low volatility are all roughly market‑like, suggesting no strong lean toward high dividend, low‑risk, or trending stocks beyond what’s typical. This pattern implies the portfolio is especially sensitive to growth versus value cycles, while behaving fairly normally on other dimensions.
Risk contribution
-
Invesco NASDAQ 100 ETF
Weight: 39.00% 42.4% -
Vanguard S&P 500 ETF
Weight: 51.00% 40.8% -
NVIDIA Corporation
Weight: 6.00% 12.3% -
Alphabet Inc Class C
Weight: 4.00% 4.5%
Risk contribution shows how much each holding drives the portfolio’s ups and downs, which can differ from its weight. Here, the NASDAQ 100 ETF is 39% of the portfolio but contributes over 42% of risk, and NVIDIA is only 6% by weight but adds more than 12% of total risk — double its size. That’s a classic sign of a volatile single stock amplifying overall swings. The top three holdings account for over 95% of portfolio risk, even though they don’t represent all the capital. This doesn’t have to be a problem, but it means outcomes are heavily tied to a few positions. Adjusting position sizes could meaningfully change the risk profile without adding new holdings.
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 compares possible mixes of the existing holdings to see which combinations offer the best return for each risk level. The Sharpe ratio, which measures return per unit of volatility after accounting for a risk‑free rate, is 0.7 for the current mix. That sits below both the optimal portfolio’s Sharpe of 1.2 and even the minimum variance portfolio’s 0.81. The report notes the current allocation is about 3.5 percentage points below the efficient frontier at its risk level. In plain terms, using only these four holdings, a different weighting could deliver better risk‑adjusted returns. The encouraging part is that the building blocks are solid; the opportunity lies in fine‑tuning the proportions.
Dividends
- Alphabet Inc Class C 0.30%
- Invesco NASDAQ 100 ETF 0.50%
- Vanguard S&P 500 ETF 1.10%
- Weighted yield (per year) 0.77%
The overall dividend yield of about 0.77% is modest, reflecting the growth‑heavy nature of the holdings. Dividend yield is the annual cash payout as a percentage of price and can be a steady return component, especially for income‑focused investors. Here, most of the expected return is intended to come from price appreciation rather than cash distributions. That’s normal for technology and innovative companies that prefer to reinvest profits. For someone seeking long‑term capital growth, this setup is consistent and reasonable. However, anyone relying on portfolio income would likely find this yield too low and might need separate income‑oriented investments or a safe cash buffer to cover spending needs.
Ongoing product costs
- Invesco NASDAQ 100 ETF 0.15%
- Vanguard S&P 500 ETF 0.03%
- Weighted costs total (per year) 0.07%
Portfolio costs are impressively low, with a blended total expense ratio around 0.07%. The main driver is the ultra‑low‑cost S&P 500 ETF at 0.03%, and even the NASDAQ 100 ETF at 0.15% is competitive for a specialist index. Expense ratios are the ongoing annual fee charged by funds; shaving even a few tenths of a percent can significantly boost long‑term outcomes due to compounding. In this case, costs are clearly a strength rather than a concern. The structure delivers concentrated growth exposure without paying much away in fees, which supports better net returns over decades and leaves more of the portfolio’s performance in the investor’s pocket.
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