A high growth tilted portfolio with strong US focus and notable single stock satellite positions
Report created on Dec 17, 2025Risk profile
5/7
Diversification profile
4/5
Positions
-
SC Schwab U.S. Large-Cap Growth ETF
SCHG - US8085243009 30.00% -
SP Invesco S&P 500® Momentum ETF
SPMO - US46138E3392 30.00% -
AV American Century ETF Trust
AVNM - US0250721745 15.00% -
RK Rocket Lab USA Inc.
RKLB - US7731221062 15.00% -
AX American Express Company
AXP - US0258161092 10.00%
This portfolio is built almost entirely from growth and momentum ETFs, with two individual stocks as satellites. The core is three ETFs making up 75%, while Rocket Lab and American Express together add 25%. Compared with a broad market benchmark that usually blends growth and value, this setup is clearly growth-tilted and more concentrated. That tilt can supercharge returns in strong markets but usually comes with bumpier rides. Keeping the ETFs as the main core is a solid structure; over time, you might want to cap any single stock at a modest share of the total and keep the majority in diversified funds to manage stock‑specific risk.
Growth
The reported historic CAGR of about 42% is extremely high. To put that in plain terms, a $10,000 starting amount would have grown to roughly $142,000 over the full period used. That easily beats typical broad market benchmarks, which are more often in the 8–12% annual range over long stretches. However, this kind of result usually reflects a very favorable starting point or a short history. It’s good that the portfolio captured strong upside, but it’s important not to anchor expectations to this pace. Treat these results as a proof of potential, not a forecast of what must happen next.
Projection
The Monte Carlo analysis, which runs many random “what if” paths using past return and volatility patterns, shows eye‑popping future values and a 100% rate of positive outcomes. Monte Carlo is useful for illustrating a wide range of possibilities, but it still leans heavily on historical behavior and assumptions that may not hold. When the starting data is unusually strong and volatile, simulations often spit out unrealistically huge median and upper outcomes. It’s better to view these projections as a rough map of risk and spread, not as a promise. Building plans around more modest return expectations can keep future decisions grounded.
Asset classes
- Stocks 100%
All assets here are stocks, with 0% in cash, bonds, or other stabilizers. That’s totally in line with a growth‑oriented approach and often matches aggressive benchmark allocations aimed at long time horizons. The upside is maximum participation in equity growth; the trade‑off is deeper drawdowns and more emotional swings during rough markets. Pure equity allocations can still be sensible, especially for longer horizons and strong risk tolerance. Over time, someone might choose to introduce a small stabilizing sleeve—like a bit of lower‑volatility or defensive exposure—once goals get closer, but the current structure is consistent with an unapologetically growth‑first mindset.
Sectors
- Technology 26%
- Industrials 22%
- Financials 22%
- Telecommunications 10%
- Consumer Discretionary 7%
- Health Care 4%
- Consumer Staples 3%
- Basic Materials 2%
- Energy 2%
- Utilities 2%
- Real Estate 1%
Sector exposure is fairly broad and genuinely “growth flavored”: technology sits on top, with big allocations also in industrials and financial services, plus meaningful slices of communication and consumer areas. This spread across many sectors is a plus, and it aligns reasonably well with diversified growth benchmarks, which is a strong indicator of solid diversification. However, growth and momentum tilts tend to cluster in sectors that are sensitive to rates and economic cycles, which can amplify volatility. Rotating everything is rarely helpful, but checking every year whether any single sector has crept too far above a comfort range can keep risk aligned with personal tolerance.
Regions
- North America 86%
- Europe Developed 6%
- Japan 2%
- Asia Emerging 2%
- Asia Developed 2%
- Australasia 1%
Geographic exposure is heavily tilted toward North America at 86%, with modest allocations to developed Europe and small slices across Japan and Asia. Many broad benchmarks are also US‑heavy these days, so this isn’t out of line and actually matches common practice quite closely. The benefit is strong participation in US corporate earnings and innovation; the risk is being tied to one economic and political region. The small non‑US slice does help a bit with diversification. If someone wanted more global balance, gradually boosting international exposure while keeping the US as the anchor could make shocks in one region less dominant in overall results.
Market capitalization
- Mega-cap 46%
- Large-cap 40%
- Mid-cap 12%
- Small-cap 2%
By market cap, the portfolio leans heavily on mega and big companies, with smaller positions in mid caps and minimal small caps. That profile is similar to many mainstream benchmarks and often gives a good mix of stability and growth, since large companies tend to be more established but still benefit from economic expansion. The presence of mid and a tiny bit of small caps adds some extra growth potential, though the overall tilt is still toward big names. This setup is well‑balanced and aligns closely with global standards. Periodically checking that no single giant company indirectly dominates through multiple funds can help avoid hidden concentration.
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 a risk‑return chart called the Efficient Frontier, this portfolio likely sits on the higher‑risk, higher‑return side, reflecting its growth and momentum bias. Efficient Frontier just means the best possible trade‑off between risk (volatility) and return using the current building blocks. Optimization here would mean only shifting weights among these existing ETFs and stocks, not adding new types of assets. It might be possible to slightly lower overall volatility by trimming the most volatile positions and modestly boosting the steadier core, while keeping expected returns in a similar ballpark. Efficiency in this sense is purely about risk‑return ratio, not necessarily maximizing diversification or income.
Dividends
- American Century ETF Trust 2.70%
- American Express Company 0.80%
- Schwab U.S. Large-Cap Growth ETF 0.40%
- Invesco S&P 500® Momentum ETF 0.70%
- Weighted yield (per year) 0.82%
The overall dividend yield of around 0.82% is low, which is totally normal for a growth and momentum‑driven mix. Growth companies often reinvest profits instead of paying high dividends, aiming to boost future earnings and share prices. For investors who care more about total return than regular income, this is not a problem and can be desirable. The presence of a slightly higher‑yield ETF adds a small income kicker, but the portfolio is clearly not designed as an income engine. Anyone needing cash flow down the road could later introduce a modest income‑oriented slice, while still keeping growth as the main driver.
Ongoing product costs
- American Century ETF Trust 0.31%
- Schwab U.S. Large-Cap Growth ETF 0.04%
- Invesco S&P 500® Momentum ETF 0.13%
- Weighted costs total (per year) 0.10%
The blended cost of about 0.10% is impressively low, especially given the active tilts in growth and momentum. Expense ratio (or TER) is the annual fee as a percentage of assets, and shaving even a few tenths of a percent off costs can add up significantly over long periods. This level of cost sits well below many actively managed options and supports better long‑term performance by letting more of the gains stay in the account. Keeping individual stocks as part of the mix also avoids fund fees on that slice, though trading too often could add hidden costs, so a low‑turnover approach tends to work best.
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