A highly concentrated US growth portfolio with heavy technology focus and strong historical performance
as of Mar 17, 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.
What type of investor this portfolio is suitable for
Growth Investors
This setup suits an investor who is comfortable with significant ups and downs in pursuit of strong long-term growth. The ideal profile has a high risk tolerance, a long time horizon—think 10 years or more—and does not depend on the portfolio for near-term income. Someone who believes in the continued strength of large, innovative companies and can emotionally handle sharp drawdowns without panic selling fits well here. Clear goals might include building substantial wealth, funding future big-ticket needs, or maximizing growth before later shifting toward income and stability. Patience, discipline, and comfort with concentrated exposure are key personality traits for this style.
Positions
-
Vanguard S&P 500 ETF
VOO - US9229083632 30.00% -
Invesco NASDAQ 100 ETF
QQQM - US46138G6492 25.00% -
Apple Inc
AAPL - US0378331005 5.00% -
Amazon.com Inc
AMZN - US0231351067 5.00% -
Arista Networks
ANET - US0404132054 5.00% -
Crowdstrike Holdings Inc
CRWD - US22788C1053 5.00% -
Alphabet Inc Class A
GOOGL - US02079K3059 5.00% -
Meta Platforms Inc.
META - US30303M1027 5.00% -
Microsoft Corporation
MSFT - US5949181045 5.00% -
NVIDIA Corporation
NVDA - US67066G1040 5.00% -
iShares Semiconductor ETF
SOXX - US4642875235 5.00%
The structure is simple and aggressive: roughly 60% in broad US index funds and 40% in a tight cluster of large growth stocks, mostly in the same general area of the market. This lines up with a classic growth profile but with much less variety than broad benchmarks, which usually spread across more regions and styles. A setup like this can hit hard on the upside when growth leaders are in favor, but can also drop sharply when that theme cools. To smooth the ride a bit, consider gradually adding a few holdings that behave differently, rather than increasing exposure to the same dominant names again.
True holdings
-
NVIDIA Corporation 9.92%Part of fund(s):
- Invesco NASDAQ 100 ETF
- Vanguard S&P 500 ETF
- iShares Semiconductor ETF
-
Apple Inc 8.81%Part of fund(s):
- Invesco NASDAQ 100 ETF
- Vanguard S&P 500 ETF
-
Microsoft Corporation 8.10%Part of fund(s):
- Invesco NASDAQ 100 ETF
- Vanguard S&P 500 ETF
-
Amazon.com Inc 7.29%Part of fund(s):
- Invesco NASDAQ 100 ETF
- Vanguard S&P 500 ETF
-
Alphabet Inc Class A 6.87%Part of fund(s):
- Invesco NASDAQ 100 ETF
- Vanguard S&P 500 ETF
-
Meta Platforms Inc. 6.72%Part of fund(s):
- Invesco NASDAQ 100 ETF
- Vanguard S&P 500 ETF
-
Crowdstrike Holdings Inc 5.21%Part of fund(s):
- Invesco NASDAQ 100 ETF
- Vanguard S&P 500 ETF
-
Arista Networks 5.08%Part of fund(s):
- Vanguard S&P 500 ETF
-
Broadcom Inc 1.88%Part of fund(s):
- Invesco NASDAQ 100 ETF
- Vanguard S&P 500 ETF
- iShares Semiconductor ETF
-
Alphabet Inc Class C 1.61%Part of fund(s):
- Invesco NASDAQ 100 ETF
- Vanguard S&P 500 ETF
- Top 10 total 61.48%
Looking through the ETFs into their top holdings reveals heavy stacking in the same mega-cap names. NVIDIA, Apple, Microsoft, Amazon, Alphabet, Meta, and similar stocks show up directly and again via index funds, pushing total exposures in the 7–10% range each for the biggest names. Because only top-10 ETF holdings are counted, the actual overlap is probably even higher. This layering boosts performance when these giants lead, but it also means the portfolio’s fate is tied closely to a small group. To avoid accidentally doubling up, it can help to check full ETF holdings and decide how much aggregate exposure to each company feels intentional.
Growth
Historically, this mix has delivered a very strong compound annual growth rate (CAGR) of about 24%. CAGR is like your “average speed” over the whole journey, ignoring bumps along the way. At the same time, the portfolio has seen a max drawdown of around –35%, meaning a big temporary drop from peak to trough. Only 28 days made up 90% of returns, which shows results are driven by a handful of big days. That pattern is typical of concentrated growth exposures. While this track record is impressive, it’s crucial to remember that past performance doesn’t guarantee future results, so relying solely on these numbers can be risky.
Projection
The Monte Carlo analysis, which runs 1,000 simulated future paths using historical data patterns, shows a very wide range of outcomes. Monte Carlo is like rolling the dice on many possible return sequences to see where you might end up. Median results are extremely high, but even the 5th percentile still shows a gain, which reflects the stellar recent history of these holdings. However, simulations assume that past return and volatility behavior roughly continues, which may be optimistic for such a hot segment. Treat these numbers as a rough map, not a promise, and think about how you’d feel if actual results landed well below the simulated median.
Asset classes
- Stocks 100%
- Cash 0%
- Other 0%
All assets are in stocks, with no allocation to bonds, cash, or alternatives. That 100% equity stance is more aggressive than typical balanced benchmarks, which usually include some steadier assets to cushion downturns. Being fully in stocks maximizes long-term growth potential but also leaves the portfolio fully exposed to equity bear markets and sharp short-term swings. This setup fits someone who can tolerate big drops and has a long time horizon. Anyone wanting a smoother experience could look at introducing a modest slice of lower-volatility assets over time to reduce the severity of drawdowns without completely abandoning the growth focus.
Sectors
- Technology 53%
- Telecommunications 17%
- Consumer Discretionary 11%
- Health Care 4%
- Financials 4%
- Consumer Staples 4%
- Industrials 3%
- Energy 1%
- Utilities 1%
- Basic Materials 1%
- Real Estate 1%
Sector exposure is dominated by technology at 53%, plus related growth areas: communication services at 17% and consumer cyclicals at 11%. Other sectors such as healthcare, financials, and defensive areas are present but in small sizes, far below typical broad-market weights. This tech and growth-heavy orientation has been a huge tailwind in recent years, especially with trends like cloud, AI, and digital advertising. The flip side is that this concentration can amplify losses during periods of rising rates, regulatory pressure, or sentiment shifts away from tech. Gradually building up underrepresented sectors can make returns less dependent on a single theme staying hot.
Regions
- North America 99%
- Europe Developed 1%
- Asia Developed 0%
- Asia Emerging 0%
- Latin America 0%
Geographically, the portfolio is almost entirely tied to North America at 99%, with only a token allocation elsewhere. Broad global benchmarks usually spread more across Europe, Asia, and emerging markets, which can sometimes move differently from the US. A home-country tilt like this often works when the local market leads, as the US has for much of the last decade. But it also increases vulnerability if US mega-caps underperform or if other regions catch up. Adding even a small dose of non-US exposure can reduce reliance on a single economy, currency, and regulatory regime without fundamentally changing the growth orientation.
Market capitalization
- Mega-cap 59%
- Large-cap 31%
- Mid-cap 9%
- Small-cap 0%
Market cap exposure is skewed to mega and big companies: about 90% in mega and large caps, with a small 9% slice in mid caps and essentially nothing in small caps. Large and mega caps tend to be more stable and liquid than small caps, which is helpful for execution and can reduce idiosyncratic risk. At the same time, skipping smaller companies means missing potential sources of return and diversification, since small caps sometimes outperform in certain cycles. If more variety is desired, slowly incorporating a modest allocation to smaller firms could introduce a different return pattern without overwhelming the existing large-cap core.
Factors
Factor exposure shows strong tilts toward quality, momentum, and low volatility, with more moderate value and yield signals and essentially no size tilt. Factors are like “personality traits” of investments that research links to long-term returns. Quality and momentum leadership has been a hallmark of recent markets, matching the behavior of this portfolio. That mix typically does well when trends persist and profitable leaders keep winning. However, factor cycles change, and periods favoring value, smaller companies, or higher-yielding stocks can look very different. To avoid being overly dependent on one style regime, it can help to keep an eye on whether these factor tilts remain intentional over time.
Risk contribution
-
Invesco NASDAQ 100 ETF
Weight: 25.00% 23.8% -
Vanguard S&P 500 ETF
Weight: 30.00% 20.3% -
NVIDIA Corporation
Weight: 5.00% 9.0% -
Crowdstrike Holdings Inc
Weight: 5.00% 7.2% -
iShares Semiconductor ETF
Weight: 5.00% 6.7% - Top 3 risk contribution 53.1%
Risk contribution shows that not all positions influence volatility in line with their weights. For example, NVIDIA is only 5% of the portfolio but adds about 9% of total risk, giving it a risk-to-weight ratio of 1.8. CrowdStrike and the semiconductor ETF also punch above their size. Meanwhile, the broad S&P 500 ETF has a lower risk-to-weight ratio, stabilizing things somewhat. Risk contribution is like asking which instruments are actually making the orchestra loud. If certain holdings dominate risk more than intended, trimming them or pairing them with steadier positions can bring the overall risk profile closer to your comfort zone.
Dividends
- Apple Inc 0.40%
- Alphabet Inc Class A 0.30%
- Meta Platforms Inc. 0.30%
- Microsoft Corporation 0.90%
- Invesco NASDAQ 100 ETF 0.50%
- iShares Semiconductor ETF 0.50%
- Vanguard S&P 500 ETF 1.10%
- Weighted yield (per year) 0.58%
The overall dividend yield sits at about 0.6%, which is quite low compared with broader equity markets. That’s normal for a growth-focused lineup: companies here generally reinvest profits to grow rather than returning a lot of cash to shareholders. For someone targeting maximum capital appreciation and not relying on portfolio income, this is totally reasonable and aligns well with a growth mandate. If future goals include drawing regular cash flows, it may help to gradually introduce some higher-yielding holdings over time. Just keep in mind that hunting for yield alone can increase risk if not balanced with quality and business strength.
Ongoing product costs
- Invesco NASDAQ 100 ETF 0.15%
- iShares Semiconductor ETF 0.35%
- Vanguard S&P 500 ETF 0.03%
- Weighted costs total (per year) 0.06%
Ongoing costs are impressively low, with a blended total expense ratio around 0.06%. That’s well below many actively managed options and lines up closely with best-practice, low-cost investing. Lower costs mean more of each year’s return stays in your pocket and compounds over time, which can make a big difference over decades. The individual ETFs used here are all on the cheaper side for their categories. From a fee perspective, this setup is very efficient and supportive of strong long-term results. The main levers for improvement lie more in diversification and risk balance than in further fee reduction.
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.
On a risk–return chart, this portfolio likely sits on the higher-risk, higher-return side of the spectrum. Efficient Frontier analysis looks at all the current holdings and asks: for a given level of risk, is there a different mix of these same assets that historically delivered better returns, or similar returns with less volatility? Efficiency here doesn’t mean “most diversified”; it simply means the best trade-off between risk and reward using the existing toolkit. Given the heavy concentration in correlated growth names, a more efficient mix might involve leaning slightly more on broad indices and slightly less on the most volatile single stocks to smooth the ride.
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