Concentrated growth portfolio focused on mega cap US technology and communication leaders

Report created on Apr 15, 2026

Risk 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

The portfolio is almost entirely in stocks, with a strong tilt toward US large and mega cap names and a tiny cash-like sleeve via short-term T-bills. A big chunk sits in broad US index ETFs, while the rest is in a tight group of individual giants like NVIDIA, Meta, Amazon, Microsoft, and Alphabet. This creates a “barbell” between diversified funds and punchy single stocks. Structurally, it’s clearly a growth-oriented setup rather than a capital-preservation mix. The main takeaway is that returns will be driven mostly by a handful of big, growth-focused US companies, so day-to-day moves can be sizable, but you also get some ballast from the broad S&P 500 and quality factor ETF positions.

Growth Info

Historically, this portfolio has absolutely crushed broad markets: a $1,000 investment grew to about $3,197, versus far lower end values implied by US and global markets with CAGRs of 14.48% and 12.64% compared to 23.68% here. CAGR (compound annual growth rate) is like your average yearly “speed” over the whole journey. The flip side is a much deeper max drawdown of about -36% versus roughly -25% for benchmarks, meaning bigger temporary losses in rough patches. It also needed close to two years to fall and then fully recover. The key message is that you’ve been paid very well for taking on extra risk, but you had to stomach some serious volatility along the way.

Projection Info

The Monte Carlo projection runs 1,000 simulations using historical volatility and relationships to estimate a range of 15-year outcomes. Think of it as rerunning market history with slight variations to see many “possible futures.” The median outcome turns $1,000 into about $2,623, with a wide but reasonable range between roughly $1,780 and $4,091 for the middle half of scenarios. There’s about a 73% chance of ending positive, and the average simulated annual return sits near 7.9%. As always, these are models based on the past, not promises, and future markets can behave very differently. Still, the projection suggests a solid chance of growth, paired with meaningful downside risk if future conditions turn out worse than history.

Asset classes Info

  • Stocks
    99%
  • No data
    1%

Asset class exposure is almost pure equity at 99%, with just 1% in a short-term T-bill ETF acting as a cash-like buffer. That means returns are tightly tied to stock market behavior, with very little shock absorber from bonds or other defensive assets. This is a textbook growth allocation rather than a balanced one, which is fine if the goal is long-term capital growth and the investor can tolerate big swings. Compared to typical mixed portfolios that blend stocks and bonds, this setup will likely rise more in bull markets but can fall harder and take longer to recover in prolonged downturns, so it really relies on a long time horizon and strong risk tolerance.

Sectors Info

  • Technology
    38%
  • Telecommunications
    20%
  • Consumer Discretionary
    13%
  • Financials
    6%
  • Health Care
    6%
  • Industrials
    5%
  • Consumer Staples
    4%
  • Energy
    2%
  • Utilities
    2%
  • Real Estate
    1%
  • Basic Materials
    1%

Sector-wise, the portfolio is heavily skewed toward technology at 38% and communication-related names at 20%, with consumer discretionary also sizeable. Other sectors like financials, health care, and industrials have much smaller roles, and more defensive areas such as utilities, consumer staples, and real estate are minor. This kind of tilt has been powerful in recent years as tech and platform businesses have led markets, which helps explain the strong outperformance. The trade-off is higher sensitivity to interest rates, regulation, and sentiment around growth and innovation. In periods where these sectors fall out of favor or face policy pressure, the whole portfolio is likely to feel it meaningfully.

Regions Info

  • North America
    98%
  • Europe Developed
    1%

Geographically, about 98% of exposure is in North America, with only a token slice in developed Europe. That’s a very strong home and region bias compared with global market weight, where non-US markets make up a large share of total world equity value. The benefit is alignment with the world’s deepest capital market and many leading global companies headquartered in the US. The risk is that economic, political, or currency shocks specific to North America will hit almost everything at once. Someone holding this type of mix is essentially making a bet that the US and nearby economies will continue to lead global growth and profit generation over the long run.

Market capitalization Info

  • Mega-cap
    61%
  • Large-cap
    21%
  • Mid-cap
    15%
  • Small-cap
    1%

Market capitalization exposure is dominated by mega caps at 61% and large caps at 21%, with more modest mid-cap and minimal small-cap allocations. Mega caps tend to be more stable in terms of business strength, but they can be sensitive to index flows, regulation, and crowding. The benefit of this structure is lower company-specific blow-up risk than a micro-cap heavy portfolio and generally better liquidity. The downside is less exposure to the potential higher growth of smaller companies and a portfolio that behaves similarly to major indices, especially during broad market moves. Overall, it’s a “big company” growth tilt rather than a diversified size spectrum.

True holdings Info

  • NVIDIA Corporation
    13.74%
    Part of fund(s):
    • Invesco NASDAQ 100 ETF
    • Vanguard S&P 500 ETF
    • iShares MSCI USA Quality Factor ETF
    Direct holding 9.86%
  • Meta Platforms Inc.
    9.20%
    Part of fund(s):
    • Invesco NASDAQ 100 ETF
    • Vanguard S&P 500 ETF
    • iShares MSCI USA Quality Factor ETF
    Direct holding 7.66%
  • Microsoft Corporation
    8.78%
    Part of fund(s):
    • Invesco NASDAQ 100 ETF
    • Vanguard S&P 500 ETF
    • iShares MSCI USA Quality Factor ETF
    Direct holding 6.20%
  • Amazon.com Inc
    8.23%
    Part of fund(s):
    • Invesco NASDAQ 100 ETF
    • Vanguard S&P 500 ETF
    Direct holding 6.61%
  • Alphabet Inc Class A
    7.37%
    Part of fund(s):
    • Invesco NASDAQ 100 ETF
    • Vanguard S&P 500 ETF
    Direct holding 6.05%
  • Apple Inc
    3.48%
    Part of fund(s):
    • Invesco NASDAQ 100 ETF
    • Vanguard S&P 500 ETF
    • iShares MSCI USA Quality Factor ETF
  • Broadcom Inc
    1.16%
    Part of fund(s):
    • Invesco NASDAQ 100 ETF
    • Vanguard S&P 500 ETF
  • Alphabet Inc Class C
    1.12%
    Part of fund(s):
    • Invesco NASDAQ 100 ETF
    • Vanguard S&P 500 ETF
  • Tesla Inc
    0.98%
    Part of fund(s):
    • Invesco NASDAQ 100 ETF
    • LS 1x Tesla Tracker ETP Securities GBP
    • Vanguard S&P 500 ETF
  • Walmart Inc. Common Stock
    0.45%
    Part of fund(s):
    • Invesco NASDAQ 100 ETF
  • Top 10 total 54.53%

Looking through the ETFs into their top holdings, there’s significant hidden concentration in the same tech and platform names. NVIDIA’s total exposure is about 13.7%, Microsoft around 8.8%, Amazon 8.2%, Meta 9.2%, and Alphabet 7.4% once ETF overlap is counted. This shows how owning both index funds and the same individual stocks doubles up exposure. Overlap is likely understated because only ETF top-10s are used, so real concentration may be higher. The important point: a few companies dominate the economic story here, so their earnings, regulation, and sentiment swings will strongly shape outcomes, even though the portfolio visually looks diversified across several ETFs and stocks.

Factors Info

Value
Preference for undervalued stocks
Low
Data availability: 99%
Size
Exposure to smaller companies
Low
Data availability: 99%
Momentum
Exposure to recently outperforming stocks
Neutral
Data availability: 99%
Quality
Preference for financially healthy companies
High
Data availability: 99%
Yield
Preference for dividend-paying stocks
Low
Data availability: 93%
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-wise, the standout tilt is toward quality at 64%, slightly above a neutral 50% market-style exposure. Quality refers to companies with strong balance sheets, stable earnings, and generally higher profitability, which can help in downturns compared with lower-quality peers. There are mild tilts away from value and size, meaning a preference for growthier, larger companies rather than cheaper or smaller ones. Momentum and low volatility are roughly neutral, suggesting no big systematic lean there. Factor investing is like choosing flavors in a recipe; here, the mix leans toward “high-quality growth.” That often performs well in many environments but can lag when cheap, cyclical, or smaller companies suddenly lead the market.

Risk contribution Info

  • Vanguard S&P 500 ETF
    Weight: 27.00%
    19.9%
  • NVIDIA Corporation
    Weight: 9.86%
    19.1%
  • Invesco NASDAQ 100 ETF
    Weight: 13.76%
    13.9%
  • Meta Platforms Inc.
    Weight: 7.66%
    11.5%
  • Amazon.com Inc
    Weight: 6.61%
    8.4%
  • Top 5 risk contribution 72.9%

Risk contribution shows how much each holding drives overall volatility, which can differ a lot from weight. NVIDIA is only about 10% of the portfolio but contributes roughly 19% of total risk, with a risk/weight ratio near 1.94 — a clear sign of concentrated risk in one very volatile stock. The top three positions by risk (S&P 500 ETF, NVIDIA, and the NASDAQ 100 ETF) together drive over half of portfolio risk. This doesn’t mean the structure is broken, but it does mean portfolio ups and downs are heavily tied to a few holdings. Adjusting position sizes can bring risk contributions closer to intended comfort levels without changing the overall strategy.

Redundant positions Info

  • iShares MSCI USA Quality Factor ETF
    Vanguard S&P 500 ETF
    High correlation

Correlation measures how similarly assets move; a reading close to 1 means they tend to rise and fall together. Here, the iShares USA Quality ETF and the Vanguard S&P 500 ETF are almost perfectly correlated, essentially behaving like very close cousins. That means holding both doesn’t add a lot of diversification in terms of short-term movements, even though their underlying stock selection styles differ slightly. High correlations reduce the ability of one holding to cushion another in a downturn. The practical point is that most of the equity positions in this portfolio will likely move in the same general direction during market shocks, amplifying the overall ride instead of smoothing it out.

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 efficient frontier chart, the current portfolio sits below the curve, about 7.7 percentage points under the best achievable return at its current risk level using the existing holdings. The Sharpe ratio (a measure of return per unit of risk above the risk-free rate) is 0.77, while the optimal mix of the same assets would reach 1.23. That means you’re not getting the most efficient trade-off between risk and reward given what you already own. The encouraging bit is that no new assets are needed to improve things; simply reweighting current holdings could nudge the portfolio closer to the frontier and improve risk-adjusted returns.

Dividends Info

  • SPDR® Bloomberg 1-3 Month T-Bill ETF 4.00%
  • Alphabet Inc Class A 0.30%
  • Meta Platforms Inc. 0.30%
  • Microsoft Corporation 0.90%
  • Invesco NASDAQ 100 ETF 0.50%
  • iShares MSCI USA Quality Factor ETF 0.90%
  • Invesco S&P 500® Equal Weight ETF 1.60%
  • Vanguard S&P 500 ETF 1.10%
  • Weighted yield (per year) 0.78%

The overall dividend yield of about 0.78% is modest, well below what many income-focused portfolios would target. Most of the big growth names either pay low dividends or none at all, and the main income contributor is the short-term T-bill ETF with a 4% yield, plus some yield from the equal weight S&P 500 fund. Dividends can be a helpful component for investors wanting regular cash flow, but for a growth-oriented setup like this, the expectation is that most return comes from price appreciation. That’s perfectly consistent with a long-term capital growth approach, but it means this portfolio is less suited for someone needing steady income today.

Ongoing product costs Info

  • SPDR® Bloomberg 1-3 Month T-Bill ETF 0.14%
  • Invesco NASDAQ 100 ETF 0.15%
  • iShares MSCI USA Quality Factor ETF 0.15%
  • Invesco S&P 500® Equal Weight ETF 0.20%
  • Vanguard S&P 500 ETF 0.03%
  • Weighted costs total (per year) 0.07%

Costs are impressively low, with a total TER (total expense ratio) around 0.07%, thanks to using efficient index-style ETFs. TER is the annual fee the funds charge, and shaving even small percentages here helps more of the portfolio’s returns stay in your pocket and compound over time. This aligns very well with best practices in long-term investing, where fees are one of the few things you can control. The low-cost structure is a real strength: for a growth-heavy, concentrated portfolio, at least you’re not giving up unnecessary performance to expensive active management on top of the risk you’re already taking.

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