This portfolio has only about 7 months of historical data, based on the youngest asset in the portfolio. Some metrics, projections, and AI insights may be less reliable and should be interpreted with caution.

High growth focused stock portfolio with strong US tilt and heavy exposure to mega cap leaders

Report created on Apr 22, 2026

Risk profile Info

6/7
Aggressive
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Diversification profile Info

3/5
Moderately Diversified
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Positions

This portfolio is almost entirely made up of equities, with a big core in broad US index ETFs and several large individual growth stocks on top. The largest position is a US large‑cap index fund, supported by a NASDAQ‑focused ETF and a global ex‑US fund, plus direct stakes in big tech names like Amazon, NVIDIA, and Alphabet. A dedicated small‑cap value ETF adds a smaller but distinct sleeve of more cyclical companies. Everything is effectively 100% in stocks, with only a tiny money market fund. Structurally this is clearly an aggressive, growth‑leaning setup where returns depend heavily on stock markets, especially large US companies, rather than bonds or cash.

Growth Info

Over the roughly seven‑month window available, the portfolio turned $1,000 into about $1,147, implying an extremely high annualized, or “CAGR,” figure. CAGR, the compound annual growth rate, works like an average speedometer reading over the trip. Here it looks spectacular compared with both US and global equity benchmarks, and the maximum drawdown of about -6.7% stayed similar to the market. But with only months of data, short bursts of strong performance and a handful of big up days can distort these numbers. This period shows how the portfolio can behave in a favorable stretch, not what a full cycle necessarily looks like.

Projection Info

The Monte Carlo projection uses this short performance history to simulate thousands of possible 15‑year paths, like rolling loaded dice based on how the portfolio has moved so far. The median simulation grows $1,000 to around $2,756, with a wide “likely” range from roughly $1,786 to $4,218 and more extreme outcomes going higher or just above breakeven. It also suggests about three‑quarters of simulations finish positive. However, because the inputs come from only seven months of unusually strong returns, these projections are less reliable than usual. They mostly say that a fully equity portfolio has a wide range of possible futures, with meaningful upside and real downside risk.

Asset classes Info

  • Stocks
    100%

Asset‑class exposure is straightforward: this is 100% in stocks, with no meaningful allocation to bonds, real estate funds, or alternatives. All return and risk come from equity markets, which historically can drive higher long‑term growth but also much deeper swings than mixed stock‑bond portfolios. Compared with broad global benchmarks that often include some bonds or cash, this setup leans clearly toward growth and volatility. The tiny position in a government money market fund barely cushions downturns. The upside is simplicity and high participation in equity gains; the trade‑off is that portfolio value will move closely with stock market cycles, especially during sharp sell‑offs.

Sectors Info

  • Technology
    30%
  • Consumer Discretionary
    22%
  • Telecommunications
    12%
  • Financials
    10%
  • Industrials
    7%
  • Health Care
    6%
  • Consumer Staples
    4%
  • Energy
    4%
  • Basic Materials
    2%
  • Utilities
    2%
  • Real Estate
    1%

Sector exposure is tilted toward areas commonly associated with growth: technology and consumer discretionary together make up just over half of the portfolio. This is noticeably more concentrated than many broad “market” mixes that spread more evenly across defensive sectors. Telecommunications, financials, industrials, and health care also show up, but at smaller weights, while utilities, real estate, and basic materials are minor. A tech‑ and consumer‑heavy portfolio often benefits more when innovation and consumer spending are strong, but it can feel sharper downdrafts when interest rates rise or growth expectations cool. The overall sector picture fits the aggressive, growth‑oriented character of the portfolio.

Regions Info

  • North America
    90%
  • Europe Developed
    4%
  • Japan
    1%
  • Asia Emerging
    1%
  • Asia Developed
    1%

Geographically, about 90% of exposure is to North America, with modest allocations to Europe, Japan, and parts of Asia via the international ETF. Relative to global equity indexes, which often have closer to 60% in the US, this is a strong home‑country tilt. That alignment with recent US outperformance has helped in the short data window, but it also means portfolio fortunes are closely tied to the US economy, policy, and currency. The presence of developed and emerging markets outside North America is positive for diversification, yet still secondary. Over time, this kind of geographic focus can magnify whichever regions are in favor, for better or worse.

Market capitalization Info

  • Mega-cap
    57%
  • Large-cap
    24%
  • Mid-cap
    12%
  • Small-cap
    4%
  • Micro-cap
    3%

By market capitalization, this portfolio leans heavily toward mega‑cap and large‑cap companies, which together make up over 80% of the exposure. Mid‑caps, small‑caps, and micro‑caps are present but relatively modest, with a notable small‑cap slice coming from the dedicated small‑cap value ETF. Large and mega‑cap stocks often bring more business stability, deeper liquidity, and index coverage, but can be more closely linked to overall market moves. Smaller companies can move more independently and sometimes more dramatically. Compared with a pure large‑cap index, this mix adds a small layer of size diversification, while still being dominated by the biggest names in the market.

True holdings Info

  • Amazon.com Inc
    15.57%
    Part of fund(s):
    • Invesco NASDAQ 100 ETF
    • Schwab U.S. Large-Cap Growth ETF
    • Vanguard S&P 500 ETF
    Direct holding 13.21%
  • NVIDIA Corporation
    10.75%
    Part of fund(s):
    • Invesco NASDAQ 100 ETF
    • Schwab U.S. Large-Cap Growth ETF
    • Vanguard S&P 500 ETF
    Direct holding 5.98%
  • Alphabet Inc Class A
    6.60%
    Part of fund(s):
    • Invesco NASDAQ 100 ETF
    • Schwab U.S. Large-Cap Growth ETF
    • Vanguard S&P 500 ETF
    Direct holding 4.71%
  • Apple Inc
    4.11%
    Part of fund(s):
    • Invesco NASDAQ 100 ETF
    • Schwab U.S. Large-Cap Growth ETF
    • Vanguard S&P 500 ETF
  • Microsoft Corporation
    3.09%
    Part of fund(s):
    • Invesco NASDAQ 100 ETF
    • Schwab U.S. Large-Cap Growth ETF
    • Vanguard S&P 500 ETF
  • Broadcom Inc
    1.70%
    Part of fund(s):
    • Invesco NASDAQ 100 ETF
    • Schwab U.S. Large-Cap Growth ETF
    • Vanguard S&P 500 ETF
  • Alphabet Inc Class C
    1.57%
    Part of fund(s):
    • Invesco NASDAQ 100 ETF
    • Schwab U.S. Large-Cap Growth ETF
    • Vanguard S&P 500 ETF
  • Meta Platforms Inc.
    1.52%
    Part of fund(s):
    • Invesco NASDAQ 100 ETF
    • Schwab U.S. Large-Cap Growth ETF
    • Vanguard S&P 500 ETF
  • Tesla Inc
    1.34%
    Part of fund(s):
    • Invesco NASDAQ 100 ETF
    • LS 1x Tesla Tracker ETP Securities GBP
    • Schwab U.S. Large-Cap Growth ETF
    • Vanguard S&P 500 ETF
  • Berkshire Hathaway Inc
    0.75%
    Part of fund(s):
    • Vanguard S&P 500 ETF
  • Top 10 total 46.99%

Looking through the funds, the same major companies appear repeatedly. Amazon totals about 15.6% once you combine the direct holding with ETF exposure; NVIDIA is around 10.8% in total; Alphabet Class A is about 6.6%. Other giants like Apple, Microsoft, Meta, and Tesla also show up via ETFs. This overlap creates “hidden concentration,” where broad‑looking funds still funnel a lot into a small group of leaders. The reported overlap is likely understated because only ETF top‑10s are captured, but even this partial picture shows that portfolio behavior will be heavily influenced by a handful of mega‑cap growth names, beyond what the simple weight list suggests.

Factors Info

Value
Preference for undervalued stocks
Low
Data availability: 42%
Size
Exposure to smaller companies
Very low
Data availability: 100%
Momentum
Exposure to recently outperforming stocks
Very high
Data availability: 36%
Quality
Preference for financially healthy companies
Very high
Data availability: 24%
Yield
Preference for dividend-paying stocks
Neutral
Data availability: 87%
Low Volatility
Preference for stable, lower-risk stocks
Neutral
Data availability: 100%

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 high tilt to momentum and quality, with a very low tilt to size. Factors are like underlying traits—such as cheapness, trendiness, or stability—that research links to return patterns. A strong momentum tilt means the portfolio leans into stocks that have been recent winners; this can boost returns in sustained uptrends but can also lead to sharper reversals when leadership changes. A very high quality tilt suggests companies with strong balance sheets and profitability, which can help during stress. The very low size exposure reflects the dominance of larger firms, so the portfolio behaves more like big established companies than smaller, more idiosyncratic ones.

Risk contribution Info

  • Vanguard S&P 500 ETF
    Weight: 47.72%
    39.6%
  • Alphabet Inc Class A
    Weight: 4.71%
    16.4%
  • Vanguard Total International Stock Index Fund ETF Shares
    Weight: 9.60%
    13.5%
  • Invesco NASDAQ 100 ETF
    Weight: 10.43%
    10.1%
  • Amazon.com Inc
    Weight: 13.21%
    7.4%
  • Top 5 risk contribution 86.9%

Risk contribution highlights how much each holding drives overall ups and downs, which can differ from weight alone. The S&P 500 ETF is nearly half the portfolio and contributes about 40% of the risk, so its risk impact is actually slightly muted versus its size. Alphabet is striking: at under 5% weight it contributes more than 16% of the portfolio’s risk, a sign of high volatility or correlation with other key positions. The international ETF also contributes more risk than its weight suggests. The top three holdings together account for about 69% of total portfolio risk, indicating that a few positions dominate day‑to‑day volatility.

Redundant positions Info

  • Vanguard S&P 500 ETF
    Invesco NASDAQ 100 ETF
    High correlation

Correlation measures how closely assets move together; a correlation near 1 means they tend to rise and fall in tandem. Here, the NASDAQ 100 ETF and the S&P 500 ETF have moved almost identically over the short history. That makes sense, since both are heavily tilted toward large US growth companies, even if their index rules differ. When holdings are highly correlated, holding more of both doesn’t add much diversification benefit in a downturn—they’re likely to drop at the same time. With only seven months of data, correlations could change, but the similarity between these two broad US growth funds is a clear structural feature, not a fluke.

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 chart compares this portfolio’s risk–return mix to the best combinations possible using the same holdings. The Sharpe ratio, a measure of return per unit of volatility, is strong for the period but still below that of the “optimal” mix found by the model. The current portfolio sits about 26.5 percentage points below the frontier at its risk level, meaning the same ingredients could be blended differently for higher risk‑adjusted returns, at least based on recent data. With such a short and unusually strong sample, optimization results should be seen as a technical snapshot rather than a durable long‑term rule.

Dividends Info

  • Avantis® U.S. Small Cap Value ETF 1.30%
  • Alphabet Inc Class A 0.30%
  • Invesco NASDAQ 100 ETF 0.50%
  • Schwab U.S. Large-Cap Growth ETF 0.40%
  • Vanguard S&P 500 ETF 1.10%
  • Vanguard Total International Stock Index Fund ETF Shares 2.80%
  • Fidelity® Government Money Market Fund 2.00%
  • Weighted yield (per year) 0.95%

The portfolio’s overall dividend yield is modest, at about 0.95%, reflecting its focus on growth‑oriented companies and indexes. Yield is the annual cash payout as a percentage of price, and here most of the contribution comes from the international ETF and the small‑cap value fund, with large US growth names paying little or no dividend. This means that most of the portfolio’s expected return is tied to price appreciation rather than regular cash income. For an aggressive equity mix, that’s typical: reinvested dividends still play a role over time, but they are a smaller component of total return than for income‑focused strategies.

Ongoing product costs Info

  • Avantis® U.S. Small Cap Value ETF 0.25%
  • Invesco NASDAQ 100 ETF 0.15%
  • Schwab U.S. Large-Cap Growth ETF 0.04%
  • Vanguard S&P 500 ETF 0.03%
  • Vanguard Total International Stock Index Fund ETF Shares 0.05%
  • Weighted costs total (per year) 0.05%

Costs are meaningfully low, with a total expense ratio around 0.05% across the funds. The largest positions sit in very low‑fee index ETFs, and even the more specialized small‑cap value fund is reasonably priced by active or smart‑beta standards. TER, or total expense ratio, is the annual fee charged by funds and quietly reduces returns each year. Keeping this number low is helpful because savings compound over time just like returns do. This cost profile is a strong positive: it means more of the portfolio’s performance flows through to you rather than to fund providers, especially over multi‑year holding periods.

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