High growth concentrated US equity portfolio with strong tech tilt and efficient risk profile
Report created on Mar 20, 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 40.00% -
QQ Invesco NASDAQ 100 ETF
QQQM - US46138G6492 19.00% -
SM VanEck Semiconductor ETF
SMH - US92189F6768 18.00% -
BR Berkshire Hathaway Inc
BRK-B - US0846707026 17.00% -
AA Apple Inc
AAPL - US0378331005 3.00% -
TS Tesla Inc
TSLA - US88160R1014 3.00%
The portfolio is a pure equity setup with 100% in stocks and stock ETFs, heavily focused on the US. Four core positions dominate: a broad S&P 500 ETF, a NASDAQ 100 ETF, a semiconductor ETF, and a large single-stock stake in Berkshire Hathaway. Two smaller satellite holdings in Apple and Tesla round it out. This creates a “barbell” between broad indexes and a few punchy growth names, with around three quarters of the weight in diversified ETFs and the rest in individual stocks. For someone seeking growth, this structure offers strong upside potential but also meaningful volatility, so it fits best with a long horizon and the ability to ride out large drawdowns.
Growth
Historically, the portfolio has delivered a 19.06% CAGR since late 2020, turning $1,000 into about $2,515. That’s well ahead of both the US market (about 13.95% CAGR) and global stocks (about 11.95%). The tradeoff is a max drawdown of -29.44%, slightly deeper than the US benchmark. CAGR, or compound annual growth rate, is like your average yearly “speed” over the whole journey. The stronger performance suggests the growth and tech tilt has paid off in recent years. Still, past performance is not a guarantee; markets change, and periods that favor tech-heavy setups can reverse sharply.
Projection
The Monte Carlo simulation projects many possible 10-year paths by remixing historical returns and volatility. Think of it like running 1,000 alternate timelines based on how the portfolio has behaved so far. The median outcome suggests roughly an 11x cumulative gain over a decade, with even the 5th percentile still positive at around 53%. The average simulated annual return near 26% is very high and reflects a strong past period. However, simulations rely on history repeating in some form, which it rarely does perfectly. They’re best seen as a rough map of risk and range, not a promise of future wealth.
Asset classes
- Stocks 100%
All capital is in one asset class: equities. That’s simple and very growth-focused, but it means no built-in cushion from bonds, cash-like vehicles, or alternatives. Many broad benchmarks mix stocks with some defensive assets to smooth the ride, especially for shorter horizons. A pure equity stance is typically suitable only for long-term goals where big swings are acceptable. The upside is maximum participation in equity growth; the downside is that in sharp downturns, there’s nowhere to hide inside this portfolio. Anyone using a setup like this often manages risk using time horizon, emergency cash outside the portfolio, and mental tolerance rather than asset-class diversification.
Sectors
- Technology 44%
- Financials 22%
- Consumer Discretionary 9%
- Telecommunications 7%
- Health Care 5%
- Industrials 4%
- Consumer Staples 4%
- Energy 2%
- Utilities 1%
- Basic Materials 1%
- Real Estate 1%
Sector exposure is clearly tilted toward technology at 44%, with financial services at 22% and consumer cyclicals at 9%. Smaller slices go to communication services, healthcare, industrials, and defensives. This tech-heavy stance has lined up well with recent market winners, helping to boost returns, especially with the semiconductor ETF. However, tech and related growth areas can be more sensitive to interest rate changes, regulation, and sentiment swings. A sector profile like this typically means larger booms and more painful busts. When sector leadership changes, a concentrated tilt can lag for years, so it’s worth checking occasionally whether this level of tech dependence still matches overall goals.
Regions
- North America 96%
- Asia Developed 2%
- Europe Developed 2%
Geographically, the exposure is overwhelmingly in North America at about 96%, with only small positions in developed Asia and Europe. That makes this setup more US-centric than many global benchmarks, which usually allocate a higher share to non-US markets. A home bias can feel comfortable and has worked well recently, given US mega-cap dominance. But it also ties portfolio fortunes closely to US economic and policy conditions. Limited international exposure means missing some potential diversification from other regions’ cycles and currencies. Over time, periodically revisiting whether this strong US focus is deliberate or simply habit can help keep the regional mix aligned with long-term comfort levels.
Market capitalization
- Mega-cap 61%
- Large-cap 28%
- Mid-cap 11%
Market cap exposure leans heavily toward the very largest companies: roughly 61% in mega caps and 28% in big caps, with only 11% in mid caps and effectively no small caps. Large and mega-cap stocks tend to be more stable and mature, often driving headline indexes and media coverage. This alignment with big names supports liquidity and easier tracking of broad markets. However, it leaves little room for the higher-risk, potentially higher-return behavior of smaller companies, which sometimes shine in different economic phases. A large-cap-dominant structure usually behaves similarly to mainstream US indexes, just with extra flavor from the concentrated growth tilts already present.
True holdings
-
BR Berkshire Hathaway Inc 17.63%
Part of fund(s):- Vanguard S&P 500 ETF
-
NV NVIDIA Corporation 8.00%
Part of fund(s):- Invesco NASDAQ 100 ETF
- VanEck Semiconductor ETF
- Vanguard S&P 500 ETF
-
AA Apple Inc 7.05%
Part of fund(s):- Invesco NASDAQ 100 ETF
- Vanguard S&P 500 ETF
-
TS Tesla Inc 4.51%
Part of fund(s):- Invesco NASDAQ 100 ETF
- Vanguard S&P 500 ETF
-
MS Microsoft Corporation 3.10%
Part of fund(s):- Invesco NASDAQ 100 ETF
- Vanguard S&P 500 ETF
-
AV Broadcom Inc 2.90%
Part of fund(s):- Invesco NASDAQ 100 ETF
- VanEck Semiconductor ETF
- Vanguard S&P 500 ETF
-
AM Amazon.com Inc 2.23%
Part of fund(s):- Invesco NASDAQ 100 ETF
- Vanguard S&P 500 ETF
-
MU Micron Technology Inc 2.12%
Part of fund(s):- Invesco NASDAQ 100 ETF
- VanEck Semiconductor ETF
- Vanguard S&P 500 ETF
-
TS Taiwan Semiconductor Manufacturing 1.93%
Part of fund(s):- VanEck Semiconductor ETF
-
GO Alphabet Inc Class A 1.90%
Part of fund(s):- Invesco NASDAQ 100 ETF
- Vanguard S&P 500 ETF
- Top 10 total 51.36%
Looking through the ETFs, there is meaningful hidden concentration in a handful of mega-cap names. Berkshire Hathaway totals about 17.6% when combining the direct position and ETF exposure. Apple reaches just over 7%, Tesla about 4.5%, and NVIDIA about 8% via ETFs alone. Overlap like this means the true bet on a few big companies is larger than it first appears. This is not automatically bad; it simply magnifies both upside and downside tied to those giants. Being aware of these “stacked” bets helps decide whether this level of single-name risk is intentional or might eventually deserve dialing back.
Factors
Factor exposure shows strong tilts toward quality, low volatility, and momentum, with moderate value and yield. Factor exposure means how much the portfolio leans into certain characteristics that research links to returns, like buying stable profitable companies (quality) or those with strong recent performance (momentum). A quality and low-vol tilt can help cushion downside somewhat compared with pure speculative growth, while momentum boosts returns when trends persist but can hurt during sharp reversals. Size exposure is minimal, consistent with the large-cap focus. Overall, this blend suggests a growth-oriented portfolio that still leans into historically rewarded “defensive growth” traits rather than purely speculative bets, which is a thoughtful balance for aggressive equity investors.
Risk contribution
-
Vanguard S&P 500 ETF
Weight: 40.00% 32.9% -
VanEck Semiconductor ETF
Weight: 18.00% 28.5% -
Invesco NASDAQ 100 ETF
Weight: 19.00% 20.7% -
Berkshire Hathaway Inc
Weight: 17.00% 9.0% -
Tesla Inc
Weight: 3.00% 5.8% - Top 5 risk contribution 96.8%
Risk contribution, which measures how much each holding drives overall ups and downs, is quite concentrated. The top three positions by weight (S&P 500, NASDAQ 100, and semiconductors) account for about 82% of portfolio risk. Notably, the semiconductor ETF has a risk-to-weight ratio of 1.58 and Tesla’s is 1.92, meaning they add more volatility than their size alone would suggest. Berkshire, despite being 17% of the portfolio, contributes less risk relative to its weight, acting as a somewhat steadier anchor. Over time, adjusting position sizes—especially of the highest risk-to-weight holdings—can help keep risk aligned with comfort without necessarily changing the overall growth orientation.
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.
On the risk–return chart, the portfolio sits right on the efficient frontier, meaning the mix of current holdings is already used in an efficient way for its risk level. The Sharpe ratio around 0.87 is solid, though an alternative allocation of the same holdings could in theory push that higher, as shown by the optimal portfolio with a Sharpe of 1.12. The minimum-variance version would reduce volatility somewhat but also lower expected return. Since you’re already on the frontier, the key levers are fine-tuning risk concentration and deciding whether to tilt closer to the “optimal” point or stay put based on comfort with swings and personal goals.
Dividends
- Apple Inc 0.40%
- Invesco NASDAQ 100 ETF 0.50%
- VanEck Semiconductor ETF 0.30%
- Vanguard S&P 500 ETF 1.20%
- Weighted yield (per year) 0.64%
The overall dividend yield is around 0.64%, which is modest compared to many income-focused portfolios. Most of the value here comes from price appreciation rather than cash payouts. For growth-oriented investors, this can be perfectly fine: companies that reinvest earnings instead of paying high dividends may grow faster, boosting total return. However, those seeking regular income from their holdings would find this yield quite light. In practice, this profile fits better with a strategy where income needs are met from outside sources or by occasional planned sales, rather than relying on the portfolio itself to generate substantial ongoing cash flow.
Ongoing product costs
- Invesco NASDAQ 100 ETF 0.15%
- VanEck Semiconductor ETF 0.35%
- Vanguard S&P 500 ETF 0.03%
- Weighted costs total (per year) 0.10%
Estimated total costs are impressively low, with a blended TER around 0.10%. TER, or total expense ratio, is the annual fee charged by funds as a percentage of assets. Low costs matter because they’re one of the few things investors can control and they compound just like returns—every fraction saved stays in the portfolio working for you. Being below typical active management fees and even below many index fund averages is a big plus. This cost structure supports better long-term results and aligns very well with best practices for a growth-focused, ETF-heavy strategy. On the cost front, things are already in excellent shape.
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