This portfolio has only about 1 months of historical data, based on the youngest asset in the portfolio. Some metrics, projections, and AI insights may be less reliable and should be interpreted with caution.
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Momentum tilted balanced portfolio with strong US focus and short but very strong recent returns

Report created on May 9, 2026

Risk profile Info

4/7
Balanced
Less risk More risk

Diversification profile Info

3/5
Moderately Diversified
Less diversification More diversification

Positions

This portfolio is built mostly from actively managed mutual funds, with a supporting mix of index ETFs and a few specialized funds. The largest position, a growth-focused fund, is about 15% of the total, and the next several core equity funds each sit around 6–12%. A handful of bond and balanced funds provide a smaller stabilizing slice, while a few thematic and leveraged ETFs are tiny but notable satellites. Overall, the structure looks like a classic “core and satellite” setup: broad core holdings doing most of the work, with small tilts layered on top. This kind of layout helps make it easier to see which funds are really driving behavior versus which are more experimental add-ons.

Growth Info

Over roughly one month, $1,000 in this portfolio grew to about $1,130, far ahead of both the US and global market benchmarks over the same short window. The calculated CAGR (compound annual growth rate, a way of annualizing returns like an average speedometer reading) looks extremely high mainly because the period is so short. Max drawdown, the biggest peak-to-trough dip, was shallow at around -1.1%. With only about a month of data, these strong numbers show what happened in a very specific market environment, not a reliable long‑term pattern. Past performance, especially over such a short span, gives only a rough snapshot of behavior.

Projection Info

The Monte Carlo projection uses this brief return history to simulate 1,000 possible paths for the next 15 years, like running many “what if” market scenarios. It shows a median outcome of about $2,630 from $1,000, with most simulations falling between roughly $1,800 and $3,800, and a very wide overall range. The average annual return across simulations is about 7.6%, with positive outcomes in 74% of cases. Because the inputs come from only one month of data, the model is leaning heavily on that recent environment, which may not resemble full market cycles. These projections are best read as rough illustrations of risk and variability, not precise forecasts.

Asset classes Info

  • Stocks
    89%
  • Bonds
    8%
  • No data
    2%
  • Not classified
    1%

Asset allocation shows about 89% in stocks, 8% in bonds, and a small portion in categories flagged as “no data” or “not classified.” This is clearly an equity-tilted mix, with bonds playing a supporting, not dominant, role. Equities generally drive growth but also day‑to‑day swings, while bonds often help smooth the ride by behaving differently in some market conditions. Compared with a typical “balanced” split, this skews more toward growth assets and less toward interest‑bearing ones. The result is a portfolio where long‑term outcomes are likely to be shaped mainly by how global stocks behave, while bonds offer only a modest buffer against equity volatility.

Sectors Info

  • Technology
    29%
  • Industrials
    13%
  • Financials
    10%
  • Health Care
    10%
  • Consumer Discretionary
    9%
  • Telecommunications
    9%
  • Consumer Staples
    5%
  • Basic Materials
    4%
  • Energy
    3%
  • Utilities
    2%
  • Real Estate
    1%
  • Consumer Discretionary
    1%

This breakdown covers the equity portion of your portfolio only.

Sector exposure is led by technology at 29%, followed by industrials, financials, health care, and consumer‑related areas. This tilt toward tech is heavier than a broad global market index, which means more sensitivity to innovation, earnings growth, and changes in interest rates that often affect high‑growth companies. On the positive side, there is still meaningful representation across many other sectors, so the portfolio is not a single‑theme bet. Sector balance matters because different parts of the economy tend to lead and lag at different times. A tech‑heavy mix can benefit strongly when growth stories are rewarded but may see sharper moves when markets rotate toward more defensive or value‑oriented areas.

Regions Info

  • North America
    79%
  • Europe Developed
    9%
  • Asia Developed
    4%
  • Asia Emerging
    2%
  • Japan
    2%
  • Latin America
    2%

This breakdown covers the equity portion of your portfolio only.

Geographically, about 79% of the portfolio is in North America, with smaller slices in developed Europe, developed and emerging Asia, Japan, and Latin America. This is a clear US‑centric profile compared with global market benchmarks, where the US is large but not this dominant. A strong US tilt can align performance closely with US economic data, policy changes, and currency movements. The smaller positions elsewhere still provide some exposure to other regions and currencies, which can help when different economies move on different cycles. With only a month of data, it is too early to see how this regional mix behaves across full booms and busts, but the structure is visibly US‑led.

Market capitalization Info

  • Mega-cap
    35%
  • Large-cap
    26%
  • Mid-cap
    17%
  • Small-cap
    6%
  • Micro-cap
    1%

This breakdown covers the equity portion of your portfolio only.

By market capitalization, the portfolio leans toward larger companies, with about 35% in mega‑caps and 26% in large‑caps, while mid‑caps and small‑caps make up smaller but meaningful slices. This pattern is fairly close to typical broad equity benchmarks, though the dedicated small‑cap fund boosts exposure to the smaller end of the spectrum. Larger companies often bring more stable earnings and deeper liquidity, which can moderate volatility, while smaller firms can add more swing and potentially higher growth. A blended size profile like this means performance can be influenced by both big, index‑heavy names and more niche holdings, giving a mix of stability and dynamism without being dominated by either extreme.

True holdings Info

  • NVIDIA Corporation
    0.94%
    Part of fund(s):
    • Invesco NASDAQ 100 ETF
    • Invesco S&P 500® Momentum ETF
    • ProShares UltraPro S&P500
    • Vanguard S&P 500 ETF
    • iShares Semiconductor ETF
  • Apple Inc
    0.65%
    Part of fund(s):
    • Invesco NASDAQ 100 ETF
    • ProShares UltraPro S&P500
    • Vanguard S&P 500 ETF
  • Microsoft Corporation
    0.48%
    Part of fund(s):
    • Invesco NASDAQ 100 ETF
    • ProShares UltraPro S&P500
    • Vanguard S&P 500 ETF
  • Broadcom Inc
    0.46%
    Part of fund(s):
    • Invesco NASDAQ 100 ETF
    • Invesco S&P 500® Momentum ETF
    • ProShares UltraPro S&P500
    • Vanguard S&P 500 ETF
    • iShares Semiconductor ETF
  • Alphabet Inc Class A
    0.39%
    Part of fund(s):
    • Invesco NASDAQ 100 ETF
    • Invesco S&P 500® Momentum ETF
    • ProShares UltraPro S&P500
    • Vanguard S&P 500 ETF
  • Amazon.com Inc
    0.37%
    Part of fund(s):
    • Invesco NASDAQ 100 ETF
    • ProShares UltraPro S&P500
    • Vanguard S&P 500 ETF
  • Alphabet Inc Class C
    0.32%
    Part of fund(s):
    • Invesco NASDAQ 100 ETF
    • Invesco S&P 500® Momentum ETF
    • ProShares UltraPro S&P500
    • Vanguard S&P 500 ETF
  • Micron Technology Inc
    0.25%
    Part of fund(s):
    • Invesco NASDAQ 100 ETF
    • Invesco S&P 500® Momentum ETF
    • iShares Semiconductor ETF
  • Meta Platforms Inc.
    0.23%
    Part of fund(s):
    • Invesco NASDAQ 100 ETF
    • ProShares UltraPro S&P500
    • Vanguard S&P 500 ETF
  • Tesla Inc
    0.20%
    Part of fund(s):
    • Invesco NASDAQ 100 ETF
    • LS 1x Tesla Tracker ETP Securities GBP
    • ProShares UltraPro S&P500
    • Vanguard S&P 500 ETF
  • Top 10 total 4.29%

This breakdown covers the equity portion of your portfolio only.

Look‑through data, based on ETF top‑10 holdings only, covers a small part of the total portfolio but still shows some useful patterns. The largest identified underlying positions are well‑known US growth names like NVIDIA, Apple, Microsoft, and other big technology and internet companies, all via ETFs rather than held directly. Each one is a small slice individually, but together they show that the ETF segment adds extra tech and mega‑cap exposure on top of what the mutual funds already provide. Overlap is likely understated because only ETF top‑10 lists are counted, but even this partial view hints at hidden concentration toward the same cluster of large US growth leaders.

Factors Info

Value
Preference for undervalued stocks
Low
Data availability: 20%
Size
Exposure to smaller companies
Very low
Data availability: 12%
Momentum
Exposure to recently outperforming stocks
High
Data availability: 22%
Quality
Preference for financially healthy companies
No data
Data availability: 0%
Yield
Preference for dividend-paying stocks
Low
Data availability: 100%
Low Volatility
Preference for stable, lower-risk stocks
Neutral
Data availability: 12%

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 shows a very low tilt to size and a high tilt to momentum, with value and yield both on the lower side and low‑volatility roughly neutral. Factors are like investing “ingredients” – characteristics such as cheapness (value), recent performance (momentum), or company size that research has linked to returns. A strong momentum tilt means the portfolio leans into assets that have been recent winners, which can work well in sustained trends but can also amplify swings when trends reverse. Very low size exposure suggests less emphasis on smaller companies than the broader market. With only a short data window, these tilts may shift over time, but today the profile clearly favors momentum over classic value or income styles.

Risk contribution Info

  • GROWTH FUND OF AMERICA CLASS F-2
    Weight: 15.31%
    16.6%
  • SMALLCAP WORLD FUND INC CLASS F-2
    Weight: 11.76%
    16.2%
  • NEW ECONOMY FUND CLASS F-2
    Weight: 7.11%
    9.2%
  • AMERICAN FUNDS FUNDAMENTAL INVESTORS CLASS F-2
    Weight: 6.91%
    7.2%
  • AMCAP FUND CLASS F-2
    Weight: 6.70%
    7.0%
  • Top 5 risk contribution 56.2%

Risk contribution looks at how much each holding adds to the portfolio’s overall ups and downs, which can differ from its weight. Here, the top three funds together make up about one‑third of the portfolio by weight but contribute around 42% of the total risk. The small‑cap and growth‑oriented funds, in particular, have risk/weight ratios above 1, meaning they punch above their size in terms of volatility impact. This is common when higher‑volatility funds sit alongside more balanced or bond‑heavy ones. For understanding behavior, it means that day‑to‑day and month‑to‑month swings will often be driven more by these core growth engines than by the many smaller satellite and bond positions.

Redundant positions Info

  • Vanguard S&P 500 ETF
    CAPITAL WORLD GROWTH & INCOME FUND CLASS F-2
    AMERICAN FUNDS GLOBAL BALANCED FUND CLASS F-2
    AMERICAN BALANCED FUND CLASS F-2
    NEW ECONOMY FUND CLASS F-2
    ProShares UltraPro S&P500
    AMCAP FUND CLASS F-2
    INVESTMENT CO OF AMERICA CLASS F-2
    AMERICAN FUNDS FUNDAMENTAL INVESTORS CLASS F-2
    GROWTH FUND OF AMERICA CLASS F-2
    High correlation

Correlation measures how closely different holdings move together, on a scale from -1 (moving opposite) to +1 (moving almost identically). Many of the key funds here – especially the US equity and balanced funds, plus the S&P 500 and leveraged S&P ETF – show very high correlations with each other. That suggests they respond in similar ways to market news, particularly US equity movements. High correlation is not a problem in itself, but it does mean that during market downturns these holdings are more likely to move down together, limiting diversification benefits. The bond and multi‑sector income funds likely play a different role, though we only see correlation details for the equity‑heavy lineup.

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 analysis compares this portfolio’s current risk/return tradeoff with the best combinations possible using the same holdings. The Sharpe ratio – a measure of return per unit of risk, like “miles per gallon” for investing – is about 8.3 for the current mix over the short period. The model suggests that, given recent behavior, an alternative weighting could deliver a much higher Sharpe ratio, and the portfolio currently sits well below the efficient frontier at its risk level. Because these calculations rely entirely on roughly one month of unusually strong returns, they are very sensitive to recent conditions. Still, they illustrate that how the same ingredients are mixed can affect risk‑adjusted outcomes.

Dividends Info

  • BOND FUND OF AMERICA CLASS F-2 0.40%
  • AMERICAN BALANCED FUND CLASS F-2 7.90%
  • AMCAP FUND CLASS F-2 3.80%
  • INCOME FUND OF AMERICA CLASS F-2 0.70%
  • AMERICAN FUNDS EMERGING MARKETS BOND FUND CLASS F-2 0.50%
  • AMERICAN FUNDS FUNDAMENTAL INVESTORS CLASS F-2 7.80%
  • GROWTH FUND OF AMERICA CLASS F-2 10.30%
  • INVESTMENT CO OF AMERICA CLASS F-2 1.10%
  • American Funds Multi-Sector Income Fund Class F-2 0.50%
  • NEW WORLD FUND INC CLASS F-2 5.30%
  • Invesco NASDAQ 100 ETF 0.40%
  • iShares Semiconductor ETF 0.30%
  • Invesco S&P 500® Momentum ETF 0.70%
  • ProShares UltraPro S&P500 0.70%
  • Vanguard S&P 500 ETF 1.10%
  • CAPITAL WORLD GROWTH & INCOME FUND CLASS F-2 9.60%
  • WASHINGTON MUTUAL INVESTORS FUND CLASS F-2 4.40%
  • Weighted yield (per year) 3.91%

Estimated total yield for the portfolio is around 3.9%, based on the reported yields of individual funds. Some core holdings, including growth‑oriented funds, currently show relatively high stated yields, while others – particularly certain ETFs and bond funds – sit closer to modest income levels. Dividend yield measures cash payouts relative to price and can be an important part of total return, especially over long periods when reinvested distributions compound. With only a short data history, it is hard to say whether today’s yields are typical or temporary. But structurally, this mix appears to blend growth and income characteristics rather than being purely focused on one or the other.

Ongoing product costs Info

  • BOND FUND OF AMERICA CLASS F-2 0.34%
  • AMERICAN BALANCED FUND CLASS F-2 0.35%
  • AMCAP FUND CLASS F-2 0.44%
  • INCOME FUND OF AMERICA CLASS F-2 0.37%
  • AMERICAN FUNDS STRATEGIC BOND FUND CLASS F-2 0.42%
  • AMERICAN FUNDS EMERGING MARKETS BOND FUND CLASS F-2 0.64%
  • AMERICAN FUNDS FUNDAMENTAL INVESTORS CLASS F-2 0.38%
  • AMERICAN FUNDS GLOBAL BALANCED FUND CLASS F-2 0.58%
  • GROWTH FUND OF AMERICA CLASS F-2 0.40%
  • INVESTMENT CO OF AMERICA CLASS F-2 0.37%
  • NEW ECONOMY FUND CLASS F-2 0.51%
  • NEW WORLD FUND INC CLASS F-2 0.68%
  • Invesco NASDAQ 100 ETF 0.15%
  • SMALLCAP WORLD FUND INC CLASS F-2 0.76%
  • iShares Semiconductor ETF 0.35%
  • Invesco S&P 500® Momentum ETF 0.13%
  • ProShares UltraPro S&P500 0.92%
  • Vanguard S&P 500 ETF 0.03%
  • CAPITAL WORLD GROWTH & INCOME FUND CLASS F-2 0.52%
  • WASHINGTON MUTUAL INVESTORS FUND CLASS F-2 0.37%
  • Weighted costs total (per year) 0.42%

The weighted ongoing cost, or Total Expense Ratio (TER), is about 0.42% per year across the portfolio. TER is the annual fee charged by funds, expressed as a percentage of assets – similar to a management fee on an account. Individual funds range from very low‑cost index ETFs around 0.03–0.15% to more expensive active and specialized products above 0.6–0.9%. Overall, this blended cost is moderate for a line‑up that includes many actively managed funds. Lower costs leave more of any gross return in the investor’s hands, and over long horizons even small fee differences can compound. From a structural standpoint, this fee level is a reasonable balance for a portfolio that mixes active strategies with low‑cost index exposure.

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