This portfolio has only about 6 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.

Concentrated high growth thematic portfolio with aggressive profile and very limited performance history

Report created on May 14, 2026

Risk profile Info

6/7
Aggressive
Less risk More risk

Diversification profile Info

3/5
Moderately Diversified
Less diversification More diversification

Positions

This portfolio is made up entirely of thematic equity ETFs focused on areas like semiconductors, artificial intelligence, electrification, momentum, space, and robotics. There are eight holdings, with most sitting at 15% weights and a smaller cluster around 7.5–10%. One ETF is leveraged, meaning it aims to magnify daily moves of its underlying theme, which increases short‑term swings. With roughly 99% in stocks and no stabilizing assets like bonds or cash, the overall structure leans strongly toward growth and volatility. Because all positions are specialized and future‑focused, their returns are likely tied to similar narratives rather than broad, everyday economic activity.

Growth Info

Over about six months, $1,000 in this portfolio grew to roughly $1,483, implying a very high annualized growth rate (CAGR) of 112.19%. CAGR is like your “average speed” over the trip, smoothing out bumps along the way. The worst drop from a peak, or max drawdown, was -14.02%, deeper than the US and global market benchmarks. Those benchmarks returned around 14–18% annualized with milder drawdowns. This short period makes the numbers unstable: outsized gains or losses in a few days can dramatically skew results. The fact that just 10 days explain 90% of returns underscores how concentrated and fragile this recent performance can be.

Projection Info

The forward projection uses a Monte Carlo simulation, which basically reruns many possible futures by shuffling and remixing the kind of daily moves seen in the past. Here, 1,000 simulations over 15 years suggest a median outcome of about $2,766 from $1,000, with a wide “likely” band and some very strong upside scenarios. The average annual return across simulations is about 8.16%. Because the portfolio only has around six months of history, the simulation is leaning heavily on a short and unusually strong stretch. That makes these ranges more like rough illustrations of uncertainty than solid guidance on what the next decade and a half will actually look like.

Asset classes Info

  • Stocks
    99%
  • Other
    1%

Asset‑class exposure is almost entirely in equities, with 99% in stocks and only a small “other” bucket. Stocks are ownership stakes in companies and tend to offer higher long‑term return potential than bonds, but with more pronounced ups and downs. Compared with broad market benchmarks that usually mix in some bonds or cash, this portfolio has very little built‑in cushioning for market shocks. That lines up with its aggressive risk score. With only six months of data, it’s hard to say how it behaves across full market cycles, but structurally it’s set up to move more like a high‑octane stock engine than a balanced portfolio.

Sectors Info

  • Technology
    59%
  • Industrials
    26%
  • Utilities
    3%
  • Telecommunications
    3%
  • Basic Materials
    3%
  • Consumer Discretionary
    3%
  • Energy
    1%
  • Consumer Staples
    1%
  • Real Estate
    1%
  • Financials
    1%

Sector‑wise, technology dominates at 59%, with industrials another 26%, and the remaining sectors each only around 1–3%. This heavy tilt toward a few growth‑oriented areas is typical of thematic strategies built around innovation themes such as semiconductors, AI, electrification, and space. Compared with broad indexes, which spread more across defensive sectors, this structure can deliver strong gains when these themes are in favor but can hurt when sentiment swings against them or when interest rates spike. With the short performance window, recent strong tech tailwinds may be amplifying returns, but they don’t yet tell a full story about how the portfolio might behave in different economic environments.

Regions Info

  • North America
    79%
  • Asia Developed
    8%
  • Europe Developed
    5%
  • Asia Emerging
    4%
  • Japan
    2%
  • Africa/Middle East
    1%

Geographically, about 79% of exposure is in North America, with smaller allocations to developed Asia, Europe, emerging Asia, Japan, and a small slice in Africa/Middle East. This means the portfolio’s fortunes are strongly tied to one region’s economy, policy decisions, and currency, even though the underlying themes are global in nature. Many global benchmarks are also US‑heavy, but this portfolio appears even more concentrated than usual. Over six months, that US tilt has lined up with strong performance in some innovation‑driven American companies, but the limited timeframe makes it tough to judge how this home‑region bias would play out over longer stretches or during periods when other regions lead.

Market capitalization Info

  • Mid-cap
    29%
  • Large-cap
    27%
  • Mega-cap
    17%
  • Small-cap
    16%
  • Micro-cap
    2%

Some holdings may not have full classification data available. Percentages may not add up to 100%.

Market‑cap exposure is spread across the spectrum: mid‑caps at 29%, large‑caps 27%, mega‑caps 17%, and small‑caps 16%, with a small micro‑cap slice. Market cap refers to a company’s total value on the stock market; mega‑caps tend to be more established, while smaller firms can be more volatile but have higher growth potential. Relative to a typical large‑cap‑dominated index, this mix leans more into the mid and small‑cap space. That can make returns more sensitive to shifts in sentiment about younger, more specialized companies. With only half a year of data, any impression that smaller names are consistently boosting returns may be heavily influenced by a short burst of thematic enthusiasm.

True holdings Info

  • Micron Technology Inc
    4.12%
    Part of fund(s):
    • Invesco Dynamic Semiconductors ETF
    • ProShares Ultra Semiconductors
    • SMART Earnings Growth 30 ETF
    • VistaShares Artificial Intelligence Supercycle ETF
  • Vertiv Holdings Co
    2.58%
    Part of fund(s):
    • MarketDesk Focused U.S. Momentum ETF
    • SMART Earnings Growth 30 ETF
    • VistaShares Artificial Intelligence Supercycle ETF
  • Lumentum Holdings Inc
    1.87%
    Part of fund(s):
    • SMART Earnings Growth 30 ETF
  • Advanced Micro Devices Inc
    1.82%
    Part of fund(s):
    • Invesco Dynamic Semiconductors ETF
    • ProShares Ultra Semiconductors
    • VistaShares Artificial Intelligence Supercycle ETF
  • NVIDIA Corporation
    1.79%
    Part of fund(s):
    • Invesco Dynamic Semiconductors ETF
    • ProShares Ultra Semiconductors
  • Corning Incorporated
    1.63%
    Part of fund(s):
    • SMART Earnings Growth 30 ETF
  • LS Electric
    1.52%
    Part of fund(s):
    • VistaShares Electrification Supercycle ETF
  • MaxLinear Inc
    1.48%
    Part of fund(s):
    • Invesco Dynamic Semiconductors ETF
  • SK Hynix Inc
    1.48%
    Part of fund(s):
    • VistaShares Artificial Intelligence Supercycle ETF
  • Ciena Corp
    1.40%
    Part of fund(s):
    • MarketDesk Focused U.S. Momentum ETF
    • SMART Earnings Growth 30 ETF
  • Top 10 total 19.71%

Looking through the ETFs’ top holdings, several individual companies appear multiple times, including Micron, Vertiv, AMD, NVIDIA, SK Hynix, and similar names. For example, Micron alone accounts for over 4% of portfolio exposure just within the top‑10 slices we can see, and Vertiv around 2.6%. Because only ETF top‑10 holdings are included, true overlap is likely higher than reported. This kind of hidden concentration means that what appears to be a mix of many funds can still function like a heavy bet on a relatively small group of chip, hardware, and infrastructure firms. Over a six‑month burst, this overlap has worked well, but it also links the funds’ fates more tightly together.

Factors Info

Value
Preference for undervalued stocks
Low
Data availability: 30%
Size
Exposure to smaller companies
Very low
Data availability: 100%
Momentum
Exposure to recently outperforming stocks
High
Data availability: 30%
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
Very low
Data availability: 33%

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 strong tilt toward momentum and very low exposure to size and low volatility. Momentum means the portfolio leans into stocks that have recently been strong performers, which can amplify gains in trending markets but can also hurt when trends reverse sharply. Very low size exposure here indicates less emphasis on the smallest companies relative to a broad small‑cap factor, despite noticeable small‑cap holdings by weight. Very low low‑volatility exposure means the portfolio favors more volatile names over steadier ones. With only six months of data, factor scores are still forming, but the current profile points to a preference for fast‑moving, higher‑risk growth stories rather than calmer, steady‑Eddie types.

Risk contribution Info

  • ProShares Ultra Semiconductors
    Weight: 10.00%
    17.8%
  • Invesco Dynamic Semiconductors ETF
    Weight: 15.00%
    17.5%
  • VistaShares Artificial Intelligence Supercycle ETF
    Weight: 15.00%
    16.9%
  • SMART Earnings Growth 30 ETF
    Weight: 15.00%
    15.3%
  • VistaShares Electrification Supercycle ETF
    Weight: 15.00%
    11.0%
  • Top 5 risk contribution 78.4%

Risk contribution looks at how much each holding drives the portfolio’s overall ups and downs, which can differ from its percentage weight. The leveraged semiconductor ETF is 10% of the portfolio but contributes about 17.78% of total risk, making it a key driver of volatility. The two largest non‑leveraged thematic ETFs also punch above their weights, and together the top three funds account for just over half of total risk. That’s a sign that while weights look fairly even, actual risk is more concentrated. Given the short history, these estimates might shift over time, but they already show that a few aggressive pieces steer most of the portfolio’s day‑to‑day movement.

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 risk‑return chart compares the current mix to an “efficient frontier,” which represents the best expected return for each risk level using just these holdings in different weights. The current portfolio shows a very high recent return and a Sharpe ratio of 2.31, where Sharpe is a measure of return per unit of risk above the risk‑free rate. The optimization suggests that, based on this limited data, alternative weights among the same ETFs could deliver higher risk‑adjusted returns or lower risk. The portfolio sits noticeably below the frontier at its risk level, implying some inefficiency. Because the input period is so short and unusually strong, these optimization results should be read as illustrative rather than definitive.

Dividends Info

  • Procure Space ETF 0.30%
  • ProShares Ultra Semiconductors 0.20%
  • MarketDesk Focused U.S. Momentum ETF 0.20%
  • KraneShares Global Humanoid and Embodied Intelligence Index ETF 0.70%
  • VistaShares Electrification Supercycle ETF 0.10%
  • SMART Earnings Growth 30 ETF 0.10%
  • Weighted yield (per year) 0.16%

Dividend yield across the portfolio is very low, at about 0.16% overall. A dividend is a cash payment some companies make from their profits; yield tells you what percentage of your investment you get back each year in those payments. In this case, nearly all of the expected return is aimed at price growth rather than income. That’s common in innovation‑heavy and thematic strategies, where companies tend to reinvest earnings into growth rather than pay them out. Over six months, dividends have likely contributed only a tiny fraction of the portfolio’s strong headline return, with almost all movement driven by price changes in the underlying themes.

Ongoing product costs Info

  • Invesco Dynamic Semiconductors ETF 0.57%
  • Procure Space ETF 0.75%
  • ProShares Ultra Semiconductors 0.95%
  • Weighted costs total (per year) 0.24%

The portfolio’s weighted total expense ratio is about 0.24% per year, which is relatively low for a mix of specialized thematic ETFs. Individual funds range from 0.57% up to 0.95%, but their combined effect is moderated by lower‑cost components. TER is the annual fee charged by the funds, taken out of assets rather than billed directly, so it quietly reduces returns over time. Compared with many niche thematic products that often charge more, this cost level is a positive aspect of the portfolio structure. Even so, over long periods, small fee differences can compound, especially for an aggressive, growth‑oriented approach that relies heavily on capital appreciation.

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