Tech tilted us large cap growth with stabilizing dividends and gold ballast for balanced risk
as of Mar 19, 2026Risk 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.
What type of investor this portfolio is suitable for
Balanced Investors
This setup fits an investor comfortable with moderate to moderately‑high risk who still wants some ballast. The person is likely focused on long‑term growth, perhaps saving for retirement or major future goals 10+ years out, and is happy to anchor around US large caps and well‑known companies. They probably appreciate simple, low‑cost index solutions but like having small tilts toward quality dividends and a gold hedge to reduce the sting of equity drawdowns. Short‑term volatility and occasional double‑digit declines are acceptable trade‑offs in pursuit of strong compounding. Income is helpful but not the main priority; preserving purchasing power and growing wealth over decades matters more than maximizing near‑term cash flow.
Positions
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Vanguard S&P 500 ETF
VOO - US9229083632 50.00% -
Invesco NASDAQ 100 ETF
QQQM - US46138G6492 20.00% -
Schwab U.S. Dividend Equity ETF
SCHD - US8085247976 20.00% -
SPDR Gold Mini Shares
GLDM - US98149E3036 10.00%
The structure is simple and focused: roughly 90% in stocks and 10% in gold, all via low-cost ETFs. Half the portfolio tracks a broad large cap index, 20% leans into a concentrated growth index, and 20% targets dividend payers, with gold acting as a diversifier. This mix gives clear exposure to big, well-known companies plus a defensive slice through dividends and a non‑stock asset. A setup like this can work well for someone who wants equity-style growth but not an all‑in, ultra‑aggressive posture. The key question is whether the tilt toward US large cap growth and dividends matches the desired risk level and time horizon.
True holdings
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NVIDIA Corporation 5.40%Part of fund(s):
- Invesco NASDAQ 100 ETF
- Vanguard S&P 500 ETF
-
Apple Inc 4.79%Part of fund(s):
- Invesco NASDAQ 100 ETF
- Vanguard S&P 500 ETF
-
Microsoft Corporation 3.65%Part of fund(s):
- Invesco NASDAQ 100 ETF
- Vanguard S&P 500 ETF
-
Amazon.com Inc 2.62%Part of fund(s):
- Invesco NASDAQ 100 ETF
- Vanguard S&P 500 ETF
-
Alphabet Inc Class A 2.24%Part of fund(s):
- Invesco NASDAQ 100 ETF
- Vanguard S&P 500 ETF
-
Meta Platforms Inc. 1.92%Part of fund(s):
- Invesco NASDAQ 100 ETF
- Vanguard S&P 500 ETF
-
Broadcom Inc 1.89%Part of fund(s):
- Invesco NASDAQ 100 ETF
- Vanguard S&P 500 ETF
-
Alphabet Inc Class C 1.88%Part of fund(s):
- Invesco NASDAQ 100 ETF
- Vanguard S&P 500 ETF
-
Tesla Inc 1.74%Part of fund(s):
- Invesco NASDAQ 100 ETF
- LS 1x Tesla Tracker ETP Securities GBP
- Vanguard S&P 500 ETF
-
Cisco Systems Inc 1.34%Part of fund(s):
- Invesco NASDAQ 100 ETF
- Schwab U.S. Dividend Equity ETF
- Vanguard S&P 500 ETF
- Top 10 total 27.47%
Looking through the ETFs, there’s meaningful overlap in mega‑cap names: NVIDIA at 5.4%, Apple at 4.79%, Microsoft at 3.65%, plus Amazon, Alphabet, Meta, Broadcom, Tesla and others. These companies appear across both the broad S&P fund and the Nasdaq 100 fund, creating “hidden” concentration even though everything is in diversified ETFs. Overlap matters because several funds can rise or fall together when the same giants drive index moves. With 86% of the portfolio covered by top‑10 holdings data, actual overlap is likely even higher. The practical takeaway is to be aware that diversification across multiple ETFs still leaves a sizeable tilt toward a handful of dominant US tech‑related companies.
Growth
Historically, the portfolio’s compound annual growth rate (CAGR) of 14.65% is strong for a balanced‑profile mix, especially with a max drawdown of about ‑23.21%. CAGR is the “average speed” of growth per year, smoothing out ups and downs. Max drawdown shows the worst peak‑to‑trough fall, which here is notably milder than deep equity bear markets. The fact that just 27 days made up 90% of returns underlines how a handful of big days drive long‑term results, reinforcing the value of staying invested. While this backward-looking data is encouraging, it can’t predict future returns; markets can change, and periods of lower returns or sharper drawdowns are always possible.
Projection
The Monte Carlo analysis runs 1,000 simulated paths using historical return and volatility patterns to estimate a range of future outcomes. Think of it as replaying market history with the same “dice” but different random rolls each time. The median end value around 670.6% and a 5th percentile of 168% highlight a wide spread: most scenarios are positive, but the gap between good and bad outcomes is large. An average simulated annual return of 16.92% is optimistic and heavily dependent on past conditions holding up. These numbers are useful for framing expectations, but they’re not promises; structural shifts, new crises, or regime changes could produce very different results than the simulations suggest.
Asset classes
- Stocks 90%
- Other 10%
- Cash 0%
Asset‑class wise, the mix is clear: about 90% stocks and 10% “other,” which here is gold. Cash is effectively zero. Compared to typical balanced allocations that might hold more bonds, this is an equity‑heavy structure with gold playing the stabilizer role instead of fixed income. Gold often behaves differently from stocks during stress, so the 10% slice can help soften some equity drawdowns, as the low risk contribution data suggests. However, gold doesn’t provide income, and its long‑term return has historically lagged equities. For someone wanting growth and willing to ride equity volatility, this stock‑plus‑gold setup is coherent, but it’s less conservative than many “balanced” mixes that lean on bonds.
Sectors
- Technology 28%
- Telecommunications 10%
- Consumer Discretionary 9%
- Health Care 9%
- Consumer Staples 8%
- Financials 8%
- Industrials 7%
- Energy 6%
- Utilities 2%
- Basic Materials 2%
- Real Estate 1%
Sector exposure is tilted toward Technology at 28%, with meaningful stakes in Communication Services (10%) and Consumer Cyclicals (9%), plus solid weights in Healthcare, Consumer Defensive, Financials, Industrials, and Energy. This distribution reflects the dominance of growth and tech‑adjacent names in broad US indices, while the dividend ETF brings in more defensive and income‑oriented sectors like utilities and consumer staples. The tech‑heavy influence can drive strong returns when innovation and growth names are in favor but can also mean sharper swings when interest rates rise or sentiment turns against high‑growth companies. It’s helpful to recognize that much of the portfolio’s long‑term behavior will be tied to how large US tech and communication names perform.
Regions
- North America 89%
- Europe Developed 1%
- Asia Emerging 0%
- Latin America 0%
Geographically, the allocation is overwhelmingly North American at 89%, with only a very small slice in developed Europe and effectively no exposure to emerging markets or other regions. This lines up broadly with US‑centric benchmarks but is even more home‑biased than a global market portfolio. The upside is familiarity, strong institutions, and alignment with the dominant global equity market. The downside is concentration in one economy, currency, and policy regime. If non‑US markets outperform for a stretch, this structure may lag more globally diversified portfolios. For someone comfortable tying results closely to US corporate and economic fortunes, though, the current geographic tilt is consistent and easy to understand.
Market capitalization
- Large-cap 36%
- Mega-cap 34%
- Mid-cap 18%
- Small-cap 1%
- Micro-cap 0%
By market cap, the portfolio is focused on large companies: about 36% big, 34% mega, and 18% medium, with only 1% in small caps and almost nothing in micro caps. That means most exposure is to mature, established firms that dominate major indexes, which tends to reduce company‑specific risk versus concentrating in smaller, less stable names. The flip side is limited participation in potential small‑cap or early‑stage growth spurts. This large‑cap orientation usually aligns with smoother liquidity, tighter spreads, and more analyst coverage, which is a positive from a risk‑management standpoint. Overall, the market‑cap profile is classic for a core equity allocation and supports stability over speculative upside.
Factors
Factor exposure shows strong tilts toward yield (85%), low volatility (70.5%), and momentum (62.3%), with moderate value exposure and no clear signals for size or quality. Factors are like underlying “traits” of stocks—such as paying high dividends (yield) or moving smoothly (low volatility)—that research links to long‑term returns. The yield and low‑volatility tilt likely comes from the dividend ETF, which favors stable, income‑paying companies. Momentum exposure is probably driven by the large growth names in the broad and Nasdaq funds that have done well recently. This mix can be powerful in steady or trending markets but can lag during abrupt reversals or speculative small‑cap rallies. Signal coverage is only about 43%, so these readings are directionally useful but not exact.
Risk contribution
-
Vanguard S&P 500 ETF
Weight: 50.00% 54.2% -
Invesco NASDAQ 100 ETF
Weight: 20.00% 27.3% -
Schwab U.S. Dividend Equity ETF
Weight: 20.00% 15.9% -
SPDR Gold Mini Shares
Weight: 10.00% 2.6% - Top 3 risk contribution 97.4%
Risk contribution highlights how much each ETF actually drives the portfolio’s ups and downs, which can differ from its weight. The S&P 500 ETF is 50% of the portfolio but contributes about 54% of total risk. The Nasdaq 100 ETF at 20% weight contributes a hefty 27.33% of risk, giving it a high risk‑to‑weight ratio of 1.37. The dividend ETF adds 15.86% of risk on a 20% weight, and gold is just 10% weight but only 2.6% of risk. In total, the top three holdings generate about 97.4% of the risk. This pattern is normal for a concentrated equity core, but it’s worth recognizing that the Nasdaq slice is a relatively powerful lever on overall volatility.
Dividends
- Invesco NASDAQ 100 ETF 0.50%
- Schwab U.S. Dividend Equity ETF 3.40%
- Vanguard S&P 500 ETF 1.20%
- Weighted yield (per year) 1.38%
The overall dividend yield of about 1.38% is modest but supported by a strong 3.4% yield from the dividend equity ETF, alongside lower yields from the S&P 500 and Nasdaq 100 funds. For an equity‑led portfolio, this is a reasonable income profile, especially given the growth tilt. Dividends can help smooth returns and provide a small cushion in flat or choppy markets, even though capital gains are still the main driver of growth here. The presence of a dedicated dividend ETF is a positive sign for investors who like some cash flow without giving up equity exposure, though this setup still prioritizes long‑term growth over high current income.
Ongoing product costs
- SPDR Gold Mini Shares 0.10%
- Invesco NASDAQ 100 ETF 0.15%
- Schwab U.S. Dividend Equity ETF 0.06%
- Vanguard S&P 500 ETF 0.03%
- Weighted costs total (per year) 0.07%
Costs are impressively low, with a blended total expense ratio around 0.07%. Each ETF sits in a very competitive fee range: the core index fund at 0.03%, the dividend ETF at 0.06%, the Nasdaq 100 fund at 0.15%, and gold at 0.10%. Low fees matter because they come straight out of returns every year—paying 0.07% versus, say, 0.50%+ compounds to a material difference over decades. This cost profile aligns well with best practices for long‑term investing and supports better net outcomes without needing to take extra risk. From a fee perspective, the structure is already in excellent shape, leaving little room for meaningful improvement without changing the overall strategy.
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.
The risk‑return optimization shows that, using only the existing holdings, a more efficient mix at the same risk level could boost expected return to about 16.41%. The optimal portfolio sits at that same expected return with volatility around 12.12%, implying either higher return for the same risk or lower risk for similar return is achievable through reweighting. The current allocation therefore lies below the efficient frontier, which is the curve showing the best possible trade‑off between risk and return with these ETFs. This doesn’t mean anything is broken; it simply indicates there’s room to fine‑tune weights—likely trimming the higher‑risk slice and adjusting gold or dividend exposure—to get more “bang for your buck” in risk terms.
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