High growth concentrated portfolio tilted to technology and artificial intelligence leadership

Report created on May 11, 2026

Risk profile Info

5/7
Growth
Less risk More risk

Diversification profile Info

3/5
Moderately Diversified
Less diversification More diversification

Positions

This portfolio is built from three equity ETFs with a clear tilt toward growth and innovation. About half sits in a NASDAQ 100 tracker, 30% in a broad global equity ETF, and 20% in an artificial intelligence and semiconductor ETF. That structure means the portfolio is fully invested in stocks, with no bonds or cash buffers. A concentrated three-holding setup is simple to follow and easy to monitor. At the same time, simplicity comes with trade-offs: fewer building blocks can reduce flexibility in adjusting risk using different asset types. Overall, this is a growth-focused, equity-only mix that leans heavily into large US-listed companies and advanced technology themes.

Growth Info

From mid‑2021 to early‑2026, a hypothetical $1,000 in this portfolio grew to about $2,359. That works out to a Compound Annual Growth Rate (CAGR) of 19.31%, meaning it gained roughly 19% per year on average, similar to averaging the speed of a long car trip. Over the same period, the US market returned 15.84% and the global market 13.31%, so the portfolio outpaced both. The flip side of that growth was a max drawdown of about ‑30%, steeper than broad markets’ roughly ‑22%. It also needed around 13 months to recover after the 2022 downturn, showing that strong long‑term gains came with meaningful temporary setbacks along the way.

Projection Info

The Monte Carlo simulation projects many possible 15‑year paths by remixing historical returns. Monte Carlo is basically a “what if” engine: it uses past data patterns to create 1,000 different futures, then summarizes the range. Here, the median outcome turns $1,000 into about $2,751, or a total return a bit under tripling. The middle 50% of scenarios land between roughly $1,788 and $4,091, while the wider 5–95% band stretches from just under your starting amount to around $7,693. These numbers show a wide spread of outcomes, which is normal for an all‑equity, growth‑tilted portfolio. As always, simulations are models, not promises, and future markets can behave very differently from the past.

Asset classes Info

  • US Equity
    87%
  • Stocks
    13%

Almost all of the portfolio (87%) is classified as US equity, with the remaining 13% labeled more generically as stocks, reflecting international exposure through the all‑equity ETF. That means there are no bonds, cash, or alternative assets playing a stabilizing role. Compared with a typical global “balanced” mix that blends stocks and bonds, this is firmly at the higher‑risk, higher‑potential‑return end of the spectrum. Relative to a global equity index, the US equity share is high, while holdings in other regions are present but smaller. This alignment toward equities supports growth potential but also means the portfolio will likely move more sharply with stock market cycles, both up and down.

Sectors Info

  • Technology
    51%
  • Telecommunications
    10%
  • Consumer Discretionary
    9%
  • Financials
    6%
  • Consumer Staples
    6%
  • Industrials
    5%
  • Health Care
    5%
  • Basic Materials
    3%
  • Energy
    3%
  • Utilities
    2%
  • Real Estate
    1%

This breakdown covers the equity portion of your portfolio only.

Sector‑wise, the portfolio is clearly tech‑heavy: technology makes up about 51% of exposure, with telecommunications and consumer discretionary following well behind. The remaining sectors—financials, consumer staples, industrials, health care, materials, energy, utilities, and real estate—are all present in modest amounts, which helps round out diversification. Compared with broad global benchmarks, this is a significantly higher technology allocation. That tilt has historically boosted returns in periods when innovative and digital businesses outperform, especially during growth‑friendly environments. However, tech‑heavy portfolios can be more sensitive when interest rates rise or when markets rotate toward more defensive or value‑oriented sectors, so swings may be more pronounced in those phases.

Regions Info

  • North America
    86%
  • Europe Developed
    6%
  • Asia Developed
    4%
  • Asia Emerging
    1%
  • Japan
    1%

This breakdown covers the equity portion of your portfolio only.

Geographically, around 86% of the portfolio’s equity exposure is in North America, with smaller slices in developed Europe, developed Asia, Japan, and emerging Asia. This means performance is heavily linked to North American markets, corporate earnings, and currencies, particularly the US dollar. Compared with a typical global equity benchmark that spreads roughly half outside North America, this represents a clear home‑region and US tilt. The presence of Europe and Asia still brings some global diversification and exposure to different economic cycles. Overall, the geographic pattern mirrors many growth‑oriented portfolios that have leaned into North American strength, but it also means that regional shocks there would carry more weight than in a more evenly distributed global mix.

Market capitalization Info

  • Mega-cap
    52%
  • Large-cap
    33%
  • Mid-cap
    12%
  • Small-cap
    2%

This breakdown covers the equity portion of your portfolio only.

By market capitalization, the portfolio is dominated by large companies: about 52% in mega‑caps, 33% in large‑caps, with smaller exposure to mid‑caps and a small slice in small‑caps. Mega‑caps are the world’s biggest companies by value, often well‑established with global footprints, which can add resilience and liquidity. This structure aligns fairly closely with cap‑weighted benchmarks that also lean toward the largest firms, though the mega‑cap share here is on the higher side. Limited small‑cap exposure means you capture less of the higher‑risk, potentially higher‑return segment of the market, but you also avoid some of its higher volatility. Overall, the size mix supports a focus on established players, especially within technology and US markets.

True holdings Info

  • Invesco NASDAQ 100 ETF
    50.47%
    Part of fund(s):
    • Invesco NASDAQ 100 Index ETF CAD Units
  • Vanguard Total Stock Market Index Fund ETF Shares
    13.10%
    Part of fund(s):
    • Vanguard All-Equity ETF Portfolio
    • Vanguard US Total Market
  • NVIDIA Corporation
    4.11%
    Part of fund(s):
    • Global X Artificial Intelligence Semiconductor Index ETF
  • Taiwan Semiconductor Manufacturing
    3.21%
    Part of fund(s):
    • Global X Artificial Intelligence Semiconductor Index ETF
  • Broadcom Inc
    3.04%
    Part of fund(s):
    • Global X Artificial Intelligence Semiconductor Index ETF
  • ASML Holding NV ADR
    2.38%
    Part of fund(s):
    • Global X Artificial Intelligence Semiconductor Index ETF
    • Vanguard All-Equity ETF Portfolio
    • Vanguard FTSE Developed All Cap ex North Amer Idx ETF
  • Vanguard FTSE Emerging Markets Index Fund ETF Shares
    2.15%
    Part of fund(s):
    • Vanguard All-Equity ETF Portfolio
    • Vanguard FTSE Emerging Markets All Cap Index ETF
  • Advanced Micro Devices Inc
    1.45%
    Part of fund(s):
    • Global X Artificial Intelligence Semiconductor Index ETF
  • Applied Materials Inc
    1.19%
    Part of fund(s):
    • Global X Artificial Intelligence Semiconductor Index ETF
  • Lam Research Corp
    1.17%
    Part of fund(s):
    • Global X Artificial Intelligence Semiconductor Index ETF
  • Top 10 total 82.27%

This breakdown covers the equity portion of your portfolio only.

Looking through the ETFs to underlying holdings, there is notable concentration in a handful of large US and global technology names. The NASDAQ 100 ETF effectively sits at the core, and you also see significant exposure to companies like NVIDIA, TSMC, Broadcom, and ASML across funds. Some of these appear via more than one ETF, creating hidden overlap: owning the same company through different funds can amplify its influence even if each fund looks diversified on its own. Because only the top‑10 holdings for each ETF are captured, actual overlap is likely somewhat understated. The high coverage figure (about 99%) suggests this snapshot is still a strong representation of where the portfolio’s real economic exposure lies.

Risk contribution Info

  • Invesco NASDAQ 100 Index ETF CAD Units
    Weight: 50.00%
    51.1%
  • Global X Artificial Intelligence Semiconductor Index ETF
    Weight: 20.00%
    31.2%
  • Vanguard All-Equity ETF Portfolio
    Weight: 30.00%
    17.7%

Risk contribution shows how much each holding drives the portfolio’s overall ups and downs, which can differ from simple weight. Here, the NASDAQ 100 ETF is 50% of the portfolio and contributes about 51% of risk, so its impact is roughly proportional. The AI and semiconductor ETF is only 20% by weight but contributes over 31% of total risk, meaning it behaves like a “loud instrument” in the portfolio—its movements punch above its size. In contrast, the 30% all‑equity ETF adds less than 18% of risk, acting as a relative stabilizer. Altogether, 100% of risk is concentrated in just three positions, so how each ETF behaves, especially the AI‑tilted one, has a direct and visible effect on day‑to‑day volatility.

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 the current mix against other combinations of the same three ETFs. The efficient frontier is the curve showing the best possible return for each risk level, using only those existing holdings in different weights. The current portfolio has a Sharpe ratio of 0.83, while both the optimal and minimum‑variance combinations reach about 0.96, indicating stronger risk‑adjusted returns. However, the note says the current allocation sits on or very close to the frontier, so it’s already reasonably efficient for its risk level. That means, purely from a mathematical risk‑return standpoint using these specific ETFs, there isn’t a large gap between your current mix and the best theoretical combinations.

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