A growth focused portfolio tilted to technology and fintech with solid diversification and moderate costs

Report created on Aug 16, 2024

Risk profile Info

5/7
Growth
Less risk More risk

Diversification profile Info

4/5
Broadly Diversified
Less diversification More diversification

Positions

The structure here is clearly growth oriented: almost everything is in stocks, with a big tilt toward a tech-heavy index and a dedicated fintech fund. Compared to a broad market mix, this setup leans more toward innovation and away from defensive areas like bonds or cash. That matters because stock-heavy portfolios usually grow faster over long periods but can swing more in the short term. Keeping this in mind, it may help to decide what percentage of the portfolio should stay in broad “total market” funds versus more focused growth funds, so that long‑term growth goals are balanced with a level of volatility that still feels manageable.

Growth Info

Historically, this mix has delivered a strong compound annual growth rate (CAGR) of about 12.06%, meaning a hypothetical $10,000 could have grown to roughly $31,000 over 10 years if that rate continued. That’s well above typical broad stock market averages, which is consistent with the tech and growth tilt. The tradeoff is clear in the max drawdown of around -36%, showing how sharply it can fall during rough markets. This kind of history is encouraging for patient investors, but it’s crucial to remember that past performance doesn’t guarantee future results, and planning for similar or even deeper drops helps avoid panic selling.

Projection Info

The forward projections use a Monte Carlo simulation, which basically runs thousands of “what if” scenarios based on past volatility and returns, like rolling dice many times to see possible futures. With an annualized return around 10.8% across 1,000 simulations and 915 ending positive, the odds of long-term growth look favorable. Still, the 5th percentile result at roughly -16% highlights that disappointing outcomes are possible, even over longer periods. Monte Carlo models rely heavily on historical patterns, so they can’t predict new crises or regime shifts; using them as rough guardrails, not precise forecasts, helps keep expectations realistic.

Asset classes Info

  • Stocks
    99%
  • Cash
    1%

Almost 99% of this mix is in stocks, with only about 1% in cash and no meaningful exposure to other asset types like bonds, commodities, or real assets. That’s perfectly aligned with an aggressive growth profile but less aligned with traditional “balanced” portfolios that typically blend in some stabilizing assets. Heavy stock exposure tends to work well over decades but can be mentally and financially challenging in big downturns. One sensible angle is to decide whether some ballast is needed: a modest allocation to stabilizing assets can reduce deep drawdowns, while still leaving most of the portfolio free to compound in equities over time.

Sectors Info

  • Technology
    44%
  • Financials
    14%
  • Telecommunications
    10%
  • Consumer Discretionary
    9%
  • Industrials
    7%
  • Health Care
    6%
  • Consumer Staples
    4%
  • Basic Materials
    2%
  • Energy
    2%
  • Utilities
    2%
  • Real Estate
    1%

Sector-wise, this mix is strongly tilted toward technology at about 44%, plus a meaningful 14% in financial services driven by the fintech exposure. That tilt has historically boosted returns during periods when innovation themes lead markets, and it broadly resembles many growth benchmarks. The flip side is vulnerability when tech and financials are hit by rising rates, regulation, or cyclical slowdowns. Other sectors such as healthcare, industrials, and consumer areas are present but smaller. Keeping an eye on whether tech plus fintech remains such a large share over time can help avoid overreliance on a single theme, especially if personal income or job prospects are also tied to similar industries.

Regions Info

  • North America
    77%
  • Europe Developed
    10%
  • Asia Emerging
    4%
  • Japan
    3%
  • Asia Developed
    3%
  • Australasia
    2%
  • Latin America
    1%
  • Africa/Middle East
    1%

Geographically, the portfolio leans heavily toward North America at about 77%, with the rest spread across developed Europe, Japan, other developed Asia, and a small slice in emerging regions. This pattern is pretty close to what many global benchmarks look like, where the U.S. dominates due to market size and company valuations. That alignment is a positive, as it taps into some of the world’s most competitive companies. The modest non‑U.S. allocation adds helpful diversification, since different regions can lead at different times. Over time, calmly checking whether the international share still matches personal views on global growth can keep this balance intentional rather than accidental.

Market capitalization Info

  • Mega-cap
    39%
  • Large-cap
    29%
  • Mid-cap
    24%
  • Small-cap
    5%
  • Micro-cap
    2%

By market cap, there’s a healthy spread: around 39% mega cap, 29% large, 24% mid, and smaller slices in small and micro caps. This pattern closely mirrors many broad equity benchmarks and is a strong indicator of good diversification across company sizes. Larger companies usually bring more stability, while smaller ones can add extra growth (and volatility). This mix leans slightly toward the bigger names, which fits well with a growth profile that still wants some resilience. Periodically confirming that mid and small caps don’t drift too low (or too high) ensures the portfolio continues to capture the full spectrum of market opportunities without becoming overly speculative.

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.

Efficient Frontier analysis looks at different mixes of the same holdings to find the best risk‑return trade‑off, meaning the highest expected return for each level of volatility. Here, the math suggests that, using only the existing funds, there’s a combination that could deliver roughly 15.1% expected return at the same risk, and a similar top “optimal” mix at about 17.47% risk. That doesn’t mean the current structure is bad—it’s already growth‑friendly and broadly diversified—but it does hint there might be a more “efficient” allocation among these funds alone. Any tweak should still respect comfort with volatility, time horizon, and personal goals, not just the math.

Dividends Info

  • Global X FinTech ETF 0.60%
  • Invesco NASDAQ 100 ETF 0.50%
  • Vanguard Total Stock Market Index Fund ETF Shares 1.10%
  • Vanguard Total International Stock Index Fund ETF Shares 2.70%
  • Weighted yield (per year) 1.08%

The overall dividend yield of about 1.08% is on the low side, which is typical for a growth‑oriented, tech‑heavy equity portfolio. Dividends are regular cash payments from companies; they can provide a steadier income stream and cushion returns when markets are flat. Here, most of the return is expected to come from price growth rather than income, which suits investors focused on long‑term wealth building rather than near‑term cash needs. If future goals shift toward generating income—say, approaching retirement or funding recurring expenses—gradually adding some higher‑yielding holdings could help increase the cash flow without needing to sell shares as often.

Ongoing product costs Info

  • Global X FinTech ETF 0.68%
  • Invesco NASDAQ 100 ETF 0.15%
  • Vanguard Total Stock Market Index Fund ETF Shares 0.03%
  • Vanguard Total International Stock Index Fund ETF Shares 0.05%
  • Weighted costs total (per year) 0.21%

The average total expense ratio (TER) around 0.21% is impressively low overall, especially given the presence of a more expensive thematic fund. Costs matter because they come out every year, like a small leak in a bucket of water; even a 0.3% difference can compound into a big gap over decades. The broad index funds here are extremely cost efficient and strongly support long‑term performance. The fintech ETF is notably pricier, but that’s common with narrow, specialized products. It can still be worthwhile if the targeted exposure is intentional, though occasionally checking whether the added cost still feels justified is a smart ongoing habit.

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