Strong growth focused stock portfolio with heavy technology tilt and notable single company concentration

Report created on May 11, 2026

Risk profile Info

6/7
Aggressive
Less risk More risk

Diversification profile Info

3/5
Moderately Diversified
Less diversification More diversification

Positions

This portfolio is built entirely from stocks and equity ETFs, with no bonds or cash buffers. The largest position is a broad US market ETF at about 42%, acting as the core. Around a quarter sits in focused growth funds and themes such as large-cap growth, robotics, biotech, quantum, EVs, and uranium. The rest is in individual companies, with a particularly big direct holding in NVIDIA and smaller stakes in names like MercadoLibre, Schneider Electric, and Uber. Structurally, this is an aggressive, growth-leaning equity mix, which lines up with the “Aggressive” risk label. That setup tends to pursue higher long-term returns, but with bigger swings along the way, since there’s nothing here specifically dampening volatility.

Growth Info

Over the period from mid-2019 to early 2026, $1,000 in this portfolio grew to about $7,326. That translates to a compound annual growth rate (CAGR) of 33.12%, more than double the US market’s 15.74% and far ahead of the global market’s 13.07%. CAGR is like your average speed on a road trip, smoothing the ups and downs along the way. The price for that strong growth was a max drawdown of about -41.7%, steeper than the roughly -34% drops in the benchmarks. Drawdown measures the decline from a previous high and shows how deep rough patches can feel. Returns were also concentrated: just 37 days made up 90% of gains, highlighting how missing a few strong days would have mattered a lot.

Projection Info

The Monte Carlo projection takes the portfolio’s past behavior and runs 1,000 “what if” futures, each with different return paths. It doesn’t try to predict specific events, just the range of outcomes you might see if similar patterns repeat. Over 15 years, a $1,000 starting point ends at a median of about $2,698, with most simulations falling between roughly $1,889 and $4,129. The very wide possible band from about $1,020 to $7,401 shows how uncertain long-term equity outcomes are, especially for an aggressive mix. The average annual return across all simulations is around 8.0%, far below the recent historical 33% CAGR, underlining that the past few years were unusually strong and not a baseline to expect.

Asset classes Info

  • Stocks
    100%

All of this portfolio sits in one asset class: equities. That creates a very clear growth focus but also means there’s no built-in cushion from bonds, cash, or other diversifying assets. Asset classes behave differently across market cycles; for example, high-quality bonds often hold up better when stocks slide. Since everything here is in stocks, the entire portfolio tends to move with equity markets, amplifying both upswings and downturns. The “Moderately Diversified” score reflects that the diversification is happening within stocks only, not across broader categories. This approach keeps things simple and focused but leaves overall portfolio risk closely tied to how global equities, and especially growth names, perform over time.

Sectors Info

  • Technology
    35%
  • Industrials
    13%
  • Consumer Discretionary
    12%
  • Health Care
    10%
  • Utilities
    9%
  • Telecommunications
    7%
  • Financials
    6%
  • Energy
    3%
  • Consumer Staples
    2%
  • Basic Materials
    2%
  • Real Estate
    1%

Sector-wise, the portfolio leans heavily into technology at about 35%, with meaningful allocations to industrials, consumer discretionary, health care, and utilities. Traditional benchmarks are typically more balanced, with lower tech weights and higher exposure to areas like financials and consumer staples. Here, tech, robotics, AI, biotech, EVs, and quantum-oriented funds all add up to a pronounced tilt toward innovation-driven sectors. These areas can deliver strong growth when conditions are favorable, which helps explain recent performance. At the same time, they tend to be more sensitive to interest rates, regulatory changes, and shifts in investor sentiment. The 9% utilities slice adds a bit of defensive flavor, but overall the sector mix clearly prioritizes growth and future-oriented themes.

Regions Info

  • North America
    82%
  • Europe Developed
    6%
  • No data
    6%
  • Asia Emerging
    2%
  • Japan
    2%
  • Asia Developed
    1%

Geographically, about 82% of the exposure is to North America, with only modest allocations to developed Europe, Japan, and emerging Asia. Compared with a global equity benchmark, which typically has closer to 60% in North America, this is a clear home bias toward the US market. That’s been a tailwind in recent years, as US growth stocks have generally led global returns. The flip side is that economic, political, or regulatory shocks in the US could affect most of the portfolio at once. The smaller positions in Latin American and European names do introduce some international flavor, but they don’t fundamentally change the strong US-centric profile. Currency risk is therefore dominated by the dollar, which keeps things simple for a US-based investor.

Market capitalization Info

  • Mega-cap
    38%
  • Large-cap
    36%
  • Mid-cap
    18%
  • Small-cap
    6%
  • Micro-cap
    2%

By market capitalization, the portfolio blends mega-cap and large-cap names with a meaningful slice of mid- and smaller-cap exposure. Around 74% sits in mega and large caps, which are typically more established, easier to trade, and better covered by analysts. About 18% in mid caps and 8% in small and micro caps introduces additional growth potential but also more volatility and company-specific risk. Many broad benchmarks also skew heavily toward the largest companies, so the big-company bias is broadly in line with market norms. The presence of smaller companies, often embedded in the thematic and robotics/AI funds, can make returns more sensitive to innovation cycles and sentiment shifts, particularly during risk-on or risk-off market phases.

True holdings Info

  • NVIDIA Corporation
    14.42%
    Part of fund(s):
    • Global X Robotics & Artificial Intelligence ETF
    • Schwab U.S. Large-Cap Growth ETF
    • Vanguard Total Stock Market Index Fund ETF Shares
    Direct holding 9.90%
  • MercadoLibre Inc.
    5.68%
  • Schneider Electric SA
    4.43%
  • Apple Inc
    3.67%
    Part of fund(s):
    • Schwab U.S. Large-Cap Growth ETF
    • Vanguard Total Stock Market Index Fund ETF Shares
  • Microsoft Corporation
    2.71%
    Part of fund(s):
    • Schwab U.S. Large-Cap Growth ETF
    • Vanguard Total Stock Market Index Fund ETF Shares
  • Amazon.com Inc
    2.09%
    Part of fund(s):
    • Schwab U.S. Large-Cap Growth ETF
    • Vanguard Total Stock Market Index Fund ETF Shares
  • Alphabet Inc Class A
    1.88%
    Part of fund(s):
    • Global X Robotics & Artificial Intelligence ETF
    • Schwab U.S. Large-Cap Growth ETF
    • Vanguard Total Stock Market Index Fund ETF Shares
  • Uber Technologies Inc
    1.74%
  • Broadcom Inc
    1.53%
    Part of fund(s):
    • Schwab U.S. Large-Cap Growth ETF
    • Vanguard Total Stock Market Index Fund ETF Shares
  • Alphabet Inc Class C
    1.40%
    Part of fund(s):
    • Schwab U.S. Large-Cap Growth ETF
    • Vanguard Total Stock Market Index Fund ETF Shares
  • Top 10 total 39.55%

Looking through the ETFs to the underlying holdings, a few names stand out as key drivers. NVIDIA reaches about 14.4% of the portfolio when combining the direct stake with ETF exposure, making it by far the largest single company risk. MercadoLibre, Schneider Electric, and Uber are present only via direct positions, while mega-cap US tech giants like Apple, Microsoft, Amazon, Alphabet, and Broadcom appear only through fund holdings. This overlap means that even though the portfolio holds many different funds, a relatively small group of large tech-related companies sits underneath. Because ETF data is limited to top-10 holdings, some overlap is likely missed, but even this partial view shows a substantial concentration in leading growth and AI-oriented names.

Factors Info

Value
Preference for undervalued stocks
Low
Data availability: 88%
Size
Exposure to smaller companies
Neutral
Data availability: 100%
Momentum
Exposure to recently outperforming stocks
Neutral
Data availability: 88%
Quality
Preference for financially healthy companies
Neutral
Data availability: 88%
Yield
Preference for dividend-paying stocks
Neutral
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 exposure is mostly neutral across size, momentum, quality, yield, and low volatility, meaning it behaves broadly like the overall market on those dimensions. A factor is just a label for a characteristic, such as “value” or “momentum,” that research has linked to long-term returns. The one notable tilt here is value, which scores 35%, a mild lean away from cheaper stocks and toward higher-priced growth names. That fits the heavy technology and innovation bias. Such a tilt tends to do well when investors reward fast-growing companies, but it can lag in environments where markets rotate toward more cash-generative, lower-multiple businesses. The balanced readings in other factors suggest the portfolio’s distinctive behavior is driven more by sector and stock choices than by explicit factor strategies.

Risk contribution Info

  • Vanguard Total Stock Market Index Fund ETF Shares
    Weight: 42.02%
    35.2%
  • NVIDIA Corporation
    Weight: 9.90%
    17.8%
  • Schwab U.S. Large-Cap Growth ETF
    Weight: 12.59%
    12.5%
  • MercadoLibre Inc.
    Weight: 5.68%
    8.2%
  • Global X Robotics & Artificial Intelligence ETF
    Weight: 4.78%
    5.3%
  • Top 5 risk contribution 79.1%

Risk contribution shows how much each holding drives the portfolio’s overall ups and downs, which can differ from its simple weight. The broad US market ETF is 42% of the assets but contributes about 35% of total risk, so it actually dampens volatility a bit relative to its size. NVIDIA is the standout: at just under 10% weight, it contributes almost 18% of the risk, with a risk/weight ratio of 1.8. That means its swings are magnified in the overall experience. MercadoLibre and the robotics ETF also punch above their weight. The top three holdings together account for about two-thirds of total portfolio risk, confirming that a handful of positions, particularly NVIDIA, dominate the day-to-day volatility.

Redundant positions Info

  • Schwab U.S. Large-Cap Growth ETF
    Vanguard Total Stock Market Index Fund ETF Shares
    High correlation

Correlation measures how investments move relative to each other, on a scale where 1 means they move almost in lockstep. In this portfolio, the US large-cap growth ETF and the broad US total market ETF are highly correlated. That makes sense because the broad fund already contains most of the big growth names, so adding a growth-focused ETF layers additional exposure to a similar return pattern. Highly correlated holdings can still be useful, but they don’t add much protection when markets sell off; they tend to go down together. Given the strong US and growth orientation across many positions, it’s reasonable to expect that a lot of the portfolio’s holdings will move in the same general direction during big market moves.

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 different mixes of these same holdings to see which combinations delivered the best trade-off between risk and return. The Sharpe ratio, which measures risk-adjusted return, is 0.83 for the current portfolio, versus 1.35 for the optimal mix and 0.67 for the minimum-variance mix. Being 6.34 percentage points below the frontier at the current risk level suggests that, historically, a different weighting of the same ingredients could have produced higher returns for similar volatility. The current setup is clearly aggressive, with risk above the minimum-variance option and return well above it too. Still, the gap to the efficient frontier means the existing holdings have, in theory, supported more efficient combinations than the one currently in place.

Dividends Info

  • Global X Robotics & Artificial Intelligence ETF 0.60%
  • iShares Biotechnology ETF 0.20%
  • KraneShares Electric Vehicles and Future Mobility Index 0.10%
  • Schneider Electric SA 1.40%
  • Schwab U.S. Large-Cap Growth ETF 0.40%
  • Global X Uranium ETF 3.80%
  • Vanguard Total Stock Market Index Fund ETF Shares 1.00%
  • Utilities Select Sector SPDR® Fund 2.70%
  • Defiance Quantum ETF 0.80%
  • Weighted yield (per year) 0.89%

The overall dividend yield of the portfolio is about 0.89%, which is fairly low compared with broader equity markets. That’s consistent with the focus on growth sectors and innovative themes, where companies often reinvest profits into expansion instead of paying out high dividends. Some holdings, like the utilities ETF and the uranium fund, offer more meaningful yields, while others such as biotech, robotics, and EVs contribute very little income. In practical terms, this means most of the expected return is coming from price appreciation rather than regular cash payments. For investors tracking total return, dividends are still part of the equation, but here they are a relatively small component of the portfolio’s overall performance profile.

Ongoing product costs Info

  • Global X Robotics & Artificial Intelligence ETF 0.68%
  • iShares Biotechnology ETF 0.45%
  • KraneShares Electric Vehicles and Future Mobility Index 0.72%
  • Schwab U.S. Large-Cap Growth ETF 0.04%
  • Global X Uranium ETF 0.69%
  • Vanguard Total Stock Market Index Fund ETF Shares 0.03%
  • Utilities Select Sector SPDR® Fund 0.09%
  • Defiance Quantum ETF 0.40%
  • Weighted costs total (per year) 0.12%

The weighted average cost of the funds in this portfolio, the Total Expense Ratio (TER), comes in at about 0.12% per year. TER is the ongoing fee charged by funds, and even small differences can compound over time. The core broad-market and large-cap growth ETFs are extremely low-cost at 0.03% and 0.04%, which is a strong positive and keeps the foundation efficient. The specialized thematic funds, such as robotics, EVs, uranium, and quantum, charge higher fees in the 0.40–0.72% range, reflecting their niche focus. Because these slices are smaller, they don’t push up the overall TER too much. Overall, costs are impressively low for a portfolio with this many targeted themes, which supports better long-term net returns.

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