Highly concentrated growth focused portfolio with exceptional past returns and very high risk exposure
Report created on Apr 11, 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
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NV NVIDIA Corporation
NVDA - US67066G1040 49.60% -
VO Vanguard S&P 500 ETF
VOO - US9229083632 23.45% -
QQ Invesco QQQ Trust
QQQ - US46090E1038 20.94% -
VX Vanguard Total International Stock Index Fund ETF Shares
VXUS - US9219097683 3.10% -
XL Energy Select Sector SPDR® Fund
XLE - US81369Y5069 2.91%
The portfolio is almost a barbell between one single stock and broad index ETFs. Roughly half is in NVIDIA alone, with most of the rest split between a US large-cap growth fund and a broad US market fund, plus a small slice of international and an energy sector ETF. This means overall exposure is still diversified on paper through the ETFs, but day-to-day performance will be dominated by that one core stock. Structurally, this is much closer to a concentrated bet than a classic diversified plan. For someone aware of that tradeoff, it can be a deliberate high-conviction stance; for anyone expecting steady behavior, the structure is far more aggressive than it first looks.
Growth
Historically, this mix delivered extraordinary results: $1,000 grew to about $100,000 over ten years, a compound annual growth rate (CAGR) near 59%. CAGR is like average speed on a long road trip, smoothing out ups and downs. Compared with US and global markets, which were in the low-teens, this is off the charts. The flip side is a huge maximum drawdown of about -63%, meaning the portfolio once lost almost two-thirds of its value before recovering. That’s emotionally and financially brutal. The key takeaway is that past gains came with extreme volatility, and there’s no guarantee the next decade will look similar.
Projection
The Monte Carlo projection uses many random “what if” paths based on historical patterns to estimate possible 15‑year outcomes. Think of it as running the next 15 years a thousand different ways and seeing where you end up. The median result grows $1,000 to about $2,806, roughly an 8.4% annualized return, with a wide range from around $1,037 to $8,684 in the middle 90% of paths. That spread shows meaningful uncertainty, even off strong history. Importantly, simulations rely heavily on the past, which may overstate future potential if conditions change. The key message is that outcomes could be very good, but also much more modest than the last decade.
Asset classes
- Stocks 100%
All capital is in stocks, with no bonds, cash-like funds, or alternative assets. That pure-equity stance maximizes exposure to economic growth and market upside but removes the natural shock absorber that safer assets can provide when markets fall. For someone seeking long-term capital appreciation and willing to ride through large swings, this can be intentional and appropriate. For anyone needing shorter-term stability or predictable withdrawals, the lack of defensive assets means portfolio value could drop sharply at the exact wrong time. The key implication: return potential is high, but so is the chance of large, prolonged drawdowns without internal ballast.
Sectors
- Technology 69%
- Telecommunications 6%
- Consumer Discretionary 5%
- Energy 4%
- Health Care 4%
- Financials 4%
- Consumer Staples 3%
- Industrials 3%
- Utilities 1%
- Basic Materials 1%
- Real Estate 1%
Sector exposure is very skewed toward technology, at roughly 69%, with only small allocations to other areas like telecommunications, consumer-oriented sectors, energy, health care, financials, and industrials. Tech-heavy portfolios often do well in growth-driven, low-rate environments but can be hit hard when interest rates rise or when enthusiasm for high-growth stories cools. The positive side is clear participation in innovation and productivity themes. The tradeoff is sensitivity to sector-specific shocks, regulation, or sentiment shifts. This allocation is far more concentrated than broad benchmarks, which is fine if that’s intentional, but it means swings could be sharper than the overall market.
Regions
- North America 97%
- Europe Developed 2%
- Asia Emerging 1%
Geographically, the portfolio is overwhelmingly tilted to North America at 97%, with only tiny exposure to developed Europe and emerging Asia. Many global benchmarks spread more evenly across regions, to capture different economic cycles, currencies, and policy regimes. Here, almost everything rides on one economy, one central bank, and one currency. This has worked very well over the last decade, as US markets and especially US tech have led global returns, so being heavily US-focused has been a tailwind. The tradeoff is that if US leadership fades or the dollar weakens, there’s little offset from other regions to cushion portfolio performance.
Market capitalization
- Mega-cap 73%
- Large-cap 18%
- Mid-cap 8%
Market cap exposure is dominated by mega-cap companies at 73%, with most of the remainder in large caps and a small slice in mid caps. That means the portfolio is concentrated in the biggest, most established firms—often leaders in their industries with strong balance sheets and global reach. These companies tend to be better researched and somewhat more resilient than smaller names, though they can still be very volatile, as NVIDIA shows. The upside is quality and liquidity; the downside is missing out on the sometimes higher long-term growth potential of smaller companies. The pattern here matches typical large-cap growth-heavy allocations.
True holdings
-
Part of fund(s):
- Invesco QQQ Trust
- Vanguard S&P 500 ETF
-
AA Apple Inc 3.16%
Part of fund(s):- Invesco QQQ Trust
- Vanguard S&P 500 ETF
-
MS Microsoft Corporation 2.33%
Part of fund(s):- Invesco QQQ Trust
- Vanguard S&P 500 ETF
-
AM Amazon.com Inc 1.77%
Part of fund(s):- Invesco QQQ Trust
- Vanguard S&P 500 ETF
-
GO Alphabet Inc Class A 1.46%
Part of fund(s):- Invesco QQQ Trust
- Vanguard S&P 500 ETF
-
ME Meta Platforms Inc. 1.27%
Part of fund(s):- Invesco QQQ Trust
- Vanguard S&P 500 ETF
-
GO Alphabet Inc Class C 1.26%
Part of fund(s):- Invesco QQQ Trust
- Vanguard S&P 500 ETF
-
AV Broadcom Inc 1.23%
Part of fund(s):- Invesco QQQ Trust
- Vanguard S&P 500 ETF
-
TS Tesla Inc 1.19%
Part of fund(s):- Invesco QQQ Trust
- LS 1x Tesla Tracker ETP Securities GBP
- Vanguard S&P 500 ETF
-
WM Walmart Inc. Common Stock 0.72%
Part of fund(s):- Invesco QQQ Trust
- Top 10 total 67.52%
Looking through the ETFs, NVIDIA makes up over 53% of total exposure when you include its presence inside the index funds. The next largest underlying positions like Apple, Microsoft, Amazon, Alphabet, and Meta are each only low single digits. This hidden overlap shows how broad ETFs can still reinforce concentration when they hold the same star names as an individual stock position. Overlap here is likely understated because only ETF top-10s are captured. The practical impact is that portfolio behavior is overwhelmingly linked to NVIDIA’s fortunes, with the rest of the market acting more like background noise than true diversification during big moves in that one stock.
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 shows a very strong tilt toward quality at 76%, with low exposure to value, size, yield, and low volatility, and roughly neutral momentum. Factors are like underlying “personality traits” of a portfolio—quality often means strong profitability, solid balance sheets, and stable earnings. That’s a positive alignment and can help during periods when markets reward durable businesses. Low value and low yield suggest a preference for more expensive, growth-oriented names rather than bargains or high income payers. Low size and low volatility exposures fit the focus on large, growth-driven leaders. Overall, this is a growth-and-quality story, not a contrarian or income-focused one.
Risk contribution
-
NVIDIA Corporation
Weight: 49.60% 75.0% -
Invesco QQQ Trust
Weight: 20.94% 12.5% -
Vanguard S&P 500 ETF
Weight: 23.45% 10.4% -
Vanguard Total International Stock Index Fund ETF Shares
Weight: 3.10% 1.1% -
Energy Select Sector SPDR® Fund
Weight: 2.91% 1.0%
Risk contribution highlights that NVIDIA, at about 50% weight, drives roughly 75% of the portfolio’s total volatility. Risk contribution is how much each holding adds to the portfolio’s overall ups and downs, which can differ from simple weight. Here, the top three positions account for nearly 98% of total risk, meaning smaller holdings barely move the needle. This structure is efficient if the goal is to express a huge conviction in that one stock while keeping some market exposure around it. The flip side is that diversification benefits are limited; if NVIDIA hits a rough patch, the whole portfolio follows, regardless of the ETFs in the background.
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 vs. return analysis shows the current portfolio sitting on or very near the efficient frontier, with a strong Sharpe ratio of 1.14. The Sharpe ratio measures return per unit of risk taken, after accounting for a risk-free rate. The “optimal” portfolio using the same holdings could push the Sharpe a bit higher at the cost of even more volatility, while the minimum-variance mix would be much calmer but with far lower returns. Being near the frontier means that, given these ingredients, the current allocation uses risk quite efficiently. The tradeoff is not efficiency, but the absolute level of risk being very high.
Dividends
- Invesco QQQ Trust 0.50%
- Vanguard S&P 500 ETF 1.10%
- Vanguard Total International Stock Index Fund ETF Shares 2.80%
- Energy Select Sector SPDR® Fund 2.60%
- Weighted yield (per year) 0.53%
Dividend yield is very low overall at about 0.53%. The main growth-oriented ETFs pay modest income, with slightly higher yields in international and energy, but the big drivers here are price appreciation rather than cash payouts. Dividends can be useful for investors seeking regular income or a smoother return profile, but they are not the focus of this setup. For someone prioritizing long-term capital growth and comfortable funding spending needs from other sources (or by selling shares when needed), that’s perfectly fine. The key is understanding that most of the expected reward here comes from price movements, which are inherently more volatile.
Ongoing product costs
- Invesco QQQ Trust 0.20%
- Vanguard S&P 500 ETF 0.03%
- Vanguard Total International Stock Index Fund ETF Shares 0.05%
- Energy Select Sector SPDR® Fund 0.09%
- Weighted costs total (per year) 0.05%
Costs are impressively low. The total expense ratio (TER) across the ETFs is around 0.05%, which is extremely competitive and well-aligned with best practices. TER is the annual fee charged by a fund, and even small differences compound over time. Here, costs are not a drag on performance; they actually support better long-term outcomes by letting more of any future returns stay in the portfolio. This is a real strength of the setup. When combined with a clear strategy and risk awareness, low-cost building blocks provide a solid structural foundation, even if the risk profile itself is very aggressive and concentrated.
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