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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Tech tilted momentum blend with strong recent gains but based on very limited performance history

Report created on May 10, 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 almost entirely made up of equity ETFs, with a core holding in a broad US total market fund plus several growth, momentum, small‑cap, and thematic ETFs layered around it. The largest single position is the total US market ETF at just over a quarter of the portfolio, while the rest is split across style, size, and theme funds in smaller slices. This structure mixes broad, diversified core holdings with more focused “satellite” positions that target specific ideas like momentum, semiconductors, energy, and clean energy. Given the roughly one‑month data window, it’s important to see this structure as a snapshot rather than a fully proven strategy, since how these pieces behave together over years is still unknown from the data shown here.

Growth Info

Over the short period from early April to early May, the portfolio’s hypothetical $1,000 grew to about $1,182, with a calculated compound annual growth rate (CAGR) near 479%. CAGR measures the “average speed” of growth if returns were smoothed out over a year, which becomes almost meaningless over only one month. The portfolio’s max drawdown, or worst peak‑to‑trough drop, was small at about -1.25%, similar in scale to the benchmarks. It outpaced both US and global market indices over this brief window, but this is heavily driven by a handful of strong days. With such limited history, these numbers should be seen as a short‑term blip, not a stable long‑term pattern.

Projection Info

The Monte Carlo projection uses that short return history to simulate 1,000 possible 15‑year paths for a $1,000 investment. Monte Carlo is like running many “what if” market scenarios, each slightly different, based on the observed volatility and return pattern. The median outcome of about $2,702 implies an annualized 7.8% in the simulations, with a wide possible range from roughly $1,063 to $6,915. Because this entire exercise leans on only a month of data, the projections are especially shaky here. They illustrate how uncertain long‑term equity investing can be in general, but they do not provide a solid forecast of what this specific portfolio will actually do over the next 15 years.

Asset classes Info

  • Stocks
    95%
  • No data
    5%

The asset‑class view shows a strong tilt toward stocks, at about 95% of the portfolio, with 5% categorized as “no data.” Equities are typically the main growth engine in long‑term portfolios, but they also drive most of the ups and downs. Having almost everything in stocks means the portfolio is firmly on the growth‑oriented side rather than blending in bonds or cash‑like holdings that can smooth volatility. That said, diversification does exist within equities themselves through different sizes, styles, and themes. Given the short lookback period, the measured risk level may understate how much volatility a stock‑heavy mix like this can show during a full market cycle, including deeper corrections or bear markets.

Sectors Info

  • Technology
    32%
  • Industrials
    13%
  • Financials
    10%
  • Consumer Discretionary
    8%
  • Energy
    7%
  • Health Care
    7%
  • Telecommunications
    6%
  • Consumer Staples
    4%
  • Basic Materials
    3%
  • Utilities
    3%
  • Real Estate
    2%

Sector exposure is clearly tilted toward technology, at about 32%, with meaningful but smaller allocations to industrials, financials, consumer discretionary, and energy. This tech‑heavy mix often benefits when innovation, growth narratives, and lower interest rates support high‑growth companies, but it can be more sensitive when rates rise or when markets rotate into more defensive areas. The presence of energy, industrials, and financials provides some balance across different parts of the economy, which can help when leadership shifts between sectors. However, the combination of broad index funds and focused tech, semiconductor, and AI themes reinforces that technology is a core driver of behavior here, especially in sharp short‑term moves like the past month.

Regions Info

  • North America
    82%
  • Europe Developed
    6%
  • Asia Developed
    2%
  • Japan
    2%
  • Asia Emerging
    2%
  • Australasia
    1%

Geographically, the portfolio is strongly concentrated in North America at about 82%, with modest slices in developed Europe, Japan, other developed Asia, and small exposures to emerging Asia and Australasia. This is more US‑tilted than global benchmarks, where the US is large but not as dominant. A high North American weighting means returns are closely tied to that region’s economic conditions, corporate earnings, and policy environment. The international exposures via broad developed and total international ETFs do introduce some global diversification, but they remain secondary. Over long periods, different regions take turns leading or lagging; with only one month of history here, the data doesn’t yet show how this particular mix might behave across varying global cycles.

Market capitalization Info

  • Mega-cap
    29%
  • Large-cap
    25%
  • Mid-cap
    23%
  • Small-cap
    14%
  • Micro-cap
    3%

By market capitalization, the portfolio spans the spectrum: roughly 29% in mega‑caps, 25% in large‑caps, 23% in mid‑caps, 14% in small‑caps, and 3% in micro‑caps. This is a broad size profile, combining the stability and liquidity of very large companies with the higher growth potential—and higher volatility—often found in smaller firms. Mid‑ and small‑cap allocations are notable and likely come from the dedicated small‑ and mid‑cap ETFs. In strong risk‑on markets, these segments can move more than mega‑caps, both up and down. Over just one month, it’s hard to see clear size‑related patterns, but structurally this setup is positioned to experience more pronounced swings than a mega‑cap‑only portfolio.

True holdings Info

  • NVIDIA Corporation
    4.10%
    Part of fund(s):
    • Invesco S&P 500® Momentum ETF
    • Roundhill Generative AI & Technology ETF
    • VanEck Semiconductor ETF
    • Vanguard Growth Index Fund ETF Shares
    • Vanguard Total Stock Market Index Fund ETF Shares
  • Apple Inc
    2.60%
    Part of fund(s):
    • Vanguard Growth Index Fund ETF Shares
    • Vanguard Total Stock Market Index Fund ETF Shares
  • Microsoft Corporation
    1.96%
    Part of fund(s):
    • Roundhill Generative AI & Technology ETF
    • Vanguard Growth Index Fund ETF Shares
    • Vanguard Total Stock Market Index Fund ETF Shares
  • Broadcom Inc
    1.88%
    Part of fund(s):
    • Invesco S&P 500® Momentum ETF
    • Roundhill Generative AI & Technology ETF
    • VanEck Semiconductor ETF
    • Vanguard Growth Index Fund ETF Shares
    • Vanguard Total Stock Market Index Fund ETF Shares
  • Alphabet Inc Class A
    1.64%
    Part of fund(s):
    • Invesco S&P 500® Momentum ETF
    • Roundhill Generative AI & Technology ETF
    • Vanguard Growth Index Fund ETF Shares
    • Vanguard Total Stock Market Index Fund ETF Shares
  • SK Hynix Inc
    1.45%
    Part of fund(s):
    • Roundhill Generative AI & Technology ETF
    • Roundhill Memory ETF
    • Vanguard FTSE Developed Markets Index Fund ETF Shares
    • Vanguard Total International Stock Index Fund ETF Shares
  • Amazon.com Inc
    1.27%
    Part of fund(s):
    • Roundhill Generative AI & Technology ETF
    • Vanguard Growth Index Fund ETF Shares
    • Vanguard Total Stock Market Index Fund ETF Shares
  • Alphabet Inc Class C
    1.24%
    Part of fund(s):
    • Invesco S&P 500® Momentum ETF
    • Vanguard Growth Index Fund ETF Shares
    • Vanguard Total Stock Market Index Fund ETF Shares
  • Samsung Electronics Co Ltd
    1.08%
    Part of fund(s):
    • Roundhill Memory ETF
  • Micron Technology Inc
    1.04%
    Part of fund(s):
    • Invesco S&P 500® Momentum ETF
    • Roundhill Generative AI & Technology ETF
    • SPDR® S&P Semiconductor ETF
    • Schwab U.S. Large-Cap Value ETF
    • VanEck Semiconductor ETF
  • Top 10 total 18.25%

The look‑through holdings show that a limited set of large technology names—like NVIDIA, Apple, Microsoft, Alphabet, Amazon, Broadcom, and major semiconductor firms—appear across multiple ETFs. For example, NVIDIA alone accounts for about 4.1% of the portfolio via funds, and several other tech names each add roughly 1–2%. Because this overlap view only covers ETF top‑10 holdings, the true concentration is likely somewhat higher. When the same companies show up in multiple funds, the portfolio’s fortunes become more tied to those specific names than individual ETF weights might suggest. Over the recent month, many of these stocks have been strong performers, which likely contributed to the outsized short‑term gains.

Factors Info

Value
Preference for undervalued stocks
Neutral
Data availability: 29%
Size
Exposure to smaller companies
Very low
Data availability: 95%
Momentum
Exposure to recently outperforming stocks
High
Data availability: 28%
Quality
Preference for financially healthy companies
No data
Data availability: 0%
Yield
Preference for dividend-paying stocks
Neutral
Data availability: 95%
Low Volatility
Preference for stable, lower-risk stocks
Neutral
Data availability: 88%

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 highlights a notable tilt toward momentum, at about 75%, and a very low tilt to size, at 18%. Factors are like underlying “personality traits” of a portfolio—such as favoring recent winners (momentum) or smaller companies (size)—that research links to long‑term return patterns. A high momentum tilt suggests the holdings tend to be stocks that have performed well recently, which can boost returns when trends persist but can amplify reversals when leadership changes suddenly. The very low size exposure means the portfolio, on balance, leans away from smaller, more volatile stocks relative to a neutral factor blend, even though there are small‑cap funds in the mix. With only a month of returns, these factor signals are more indicative of current holdings than proven long‑term behavior.

Risk contribution Info

  • Vanguard Total Stock Market Index Fund ETF Shares
    Weight: 26.20%
    19.3%
  • Roundhill Memory ETF
    Weight: 5.00%
    15.0%
  • Invesco S&P 500® Momentum ETF
    Weight: 7.30%
    9.1%
  • Vanguard Total International Stock Index Fund ETF Shares
    Weight: 6.20%
    7.9%
  • Vanguard Growth Index Fund ETF Shares
    Weight: 8.50%
    7.1%
  • Top 5 risk contribution 58.4%

Risk contribution shows how much each holding adds to overall ups and downs, which can differ from its weight. The largest core US total market ETF is 26.2% of the portfolio but contributes about 19.3% of risk, meaning it’s relatively stable compared with some satellites. The standout is the Roundhill Memory ETF: at just 5% weight, it contributes almost 15% of total risk, with a risk‑to‑weight ratio of about 3. This indicates that a small slice in this thematic fund has an outsized impact on volatility. The top three holdings together make up over 43% of portfolio risk. With such limited history, these figures may not fully capture how these ETFs behave during more stressed markets, but they do flag where current risk is most concentrated.

Redundant positions Info

  • Vanguard Small-Cap Value Index Fund ETF Shares
    iShares Core S&P Mid-Cap ETF
    High correlation
  • Vanguard Mid-Cap Growth Index Fund ETF Shares
    Vanguard Small-Cap Growth Index Fund ETF Shares
    High correlation
  • Vanguard Total International Stock Index Fund ETF Shares
    Vanguard FTSE Developed Markets Index Fund ETF Shares
    High correlation

The correlation view highlights pairs of ETFs that have moved almost identically over this short window, such as the small‑ and mid‑cap value pair, the small‑ and mid‑cap growth pair, and the two international funds. Correlation measures how often assets move together: a value near 1 means they tend to rise and fall at the same time. Highly correlated holdings can limit diversification benefits because they don’t offset each other much during swings. In this portfolio, the close relationships among size‑ and style‑matched funds are expected, since they track similar parts of the market. One month of data, however, isn’t enough to map out how correlations might change under different conditions like crises, rate shocks, or regional recessions.

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 with alternative weightings of the same holdings. It shows that at the current risk level, the portfolio sits notably below the frontier, meaning there are combinations of these same ETFs that would have delivered better risk‑adjusted returns over the brief sample. The Sharpe ratio—a measure of return per unit of risk over a risk‑free rate—is about 11.3 for the current portfolio versus 16.9 for the “optimal” mix in this dataset. Normally, being below the frontier suggests room for better risk/return balance through reweighting. Here, though, the extremely short history makes both the frontier and Sharpe readings unusually unstable, so they’re more of a mathematical curiosity than a solid long‑term guide.

Dividends Info

  • Roundhill Generative AI & Technology ETF 2.00%
  • iShares Global Clean Energy ETF 1.30%
  • iShares Core S&P Mid-Cap ETF 1.20%
  • Schwab U.S. Small-Cap ETF 1.00%
  • Schwab U.S. Large-Cap Value ETF 1.80%
  • VanEck Semiconductor ETF 0.20%
  • Invesco S&P 500® Momentum ETF 0.70%
  • Vanguard Small-Cap Growth Index Fund ETF Shares 0.50%
  • Vanguard Small-Cap Value Index Fund ETF Shares 1.80%
  • Vanguard FTSE Developed Markets Index Fund ETF Shares 2.70%
  • Vanguard Mid-Cap Growth Index Fund ETF Shares 0.60%
  • Vanguard Total Stock Market Index Fund ETF Shares 1.00%
  • Vanguard Growth Index Fund ETF Shares 0.40%
  • Vanguard Total International Stock Index Fund ETF Shares 2.70%
  • SPDR® S&P Oil & Gas Exploration & Production ETF 2.00%
  • SPDR® S&P Semiconductor ETF 0.10%
  • MarketDesk Focused U.S. Momentum ETF 0.20%
  • Weighted yield (per year) 1.07%

The overall dividend yield of the portfolio, around 1.07%, is modest and in line with a growth‑ and momentum‑oriented equity mix. Dividend yield is the annual cash payout from holdings as a percentage of price, which can provide a steady income component alongside price changes. Some ETFs here, like developed international and certain value or sector funds, have higher yields near or above 2%, while growth and thematic funds tend to pay very little. That blend suggests total return is expected to be driven more by price appreciation than by income. Over just a month, dividends contribute almost nothing to observed performance, so the recent strong gain is essentially all from price moves rather than cash payouts.

Ongoing product costs Info

  • Roundhill Generative AI & Technology ETF 0.75%
  • iShares Global Clean Energy ETF 0.41%
  • iShares Core S&P Mid-Cap ETF 0.05%
  • Schwab U.S. Small-Cap ETF 0.04%
  • Schwab U.S. Large-Cap Value ETF 0.04%
  • VanEck Semiconductor ETF 0.35%
  • Invesco S&P 500® Momentum ETF 0.13%
  • Vanguard Small-Cap Growth Index Fund ETF Shares 0.07%
  • Vanguard Small-Cap Value Index Fund ETF Shares 0.07%
  • Vanguard FTSE Developed Markets Index Fund ETF Shares 0.05%
  • Vanguard Mid-Cap Growth Index Fund ETF Shares 0.07%
  • Vanguard Total Stock Market Index Fund ETF Shares 0.03%
  • Vanguard Growth Index Fund ETF Shares 0.04%
  • Vanguard Total International Stock Index Fund ETF Shares 0.05%
  • SPDR® S&P Oil & Gas Exploration & Production ETF 0.35%
  • SPDR® S&P Semiconductor ETF 0.35%
  • Weighted costs total (per year) 0.09%

The portfolio’s estimated total expense ratio (TER) is low at about 0.09%, helped by large allocations to broad, low‑cost index ETFs from major providers. TER is the annual fee charged by funds, taken out of assets automatically, and small differences compound meaningfully over time. A few specialized or thematic ETFs charge higher fees in the 0.35–0.75% range, but they occupy relatively small portions of the portfolio. This keeps the blended cost impressively low compared with many actively managed or niche strategies. With a one‑month lens, fees don’t visibly impact performance yet, but over many years, a low TER like this supports keeping more of whatever returns the portfolio ultimately earns.

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