Concentrated single thematic ETF portfolio with aggressive risk and short but very strong recent returns
Report created on May 7, 2026Risk profile
6/7
Diversification profile
2/5
Positions
-
AI Defiance AI & Power Infrastructure ETF
AIPO 100.00%
The portfolio is extremely straightforward: it holds a single thematic ETF at 100% weight. That means every aspect of risk, return, and diversification comes from this one fund. The ETF targets companies linked to AI and power infrastructure, so the theme itself is quite specific. Structurally, this creates a very “all‑in” setup, with no balancing from other asset types or funds. This simplicity makes the portfolio easy to understand and track, but it also means there is no internal safety net if this theme goes through a weak period. All diversification must therefore come from within the ETF’s own holdings and how that index is constructed.
Growth
Over roughly nine months, $1,000 grew to about $1,542, implying a very high annualized return (CAGR) of 75.52%. That far exceeds both the US market and global market benchmarks over the same window. The trade‑off is a max drawdown of -17.34%, meaning at one point the portfolio fell that much from a peak before recovering. With such a short history, these numbers mainly show that the theme has recently been in favor. They do not reliably describe long‑term behavior, and periods of strong outperformance like this often don’t repeat in a straight line over many years.
Projection
The Monte Carlo simulation projects many possible 15‑year paths using the short return history as a guide. Monte Carlo is basically a “what if” machine: it shuffles returns thousands of times to see a range of future outcomes, not one single forecast. Here, the median outcome grows $1,000 to around $2,769, but the 5th–95th percentile band is wide, from about $999 to $8,434. That spread highlights how uncertain long‑term results can be, especially when the starting data covers only nine months. These projections are more of a rough scenario range than a dependable roadmap.
Asset classes
- Stocks 99%
- Other 1%
Almost the entire portfolio, 99%, is invested in stocks, with a small 1% in “Other” assets. This equity‑heavy mix aligns with the aggressive risk label and explains why returns and drawdowns can both be large. Compared with broad multi‑asset benchmarks that include bonds or cash, this structure offers very little built‑in cushioning during market stress. Equity‑only portfolios typically move more sharply in both directions. Over long periods, stocks have historically offered higher growth potential than bonds, but the flipside is larger and more frequent ups and downs along the way, which this allocation fully embraces.
Sectors
- Industrials 57%
- Technology 16%
- Utilities 14%
- Energy 7%
- Financials 4%
- Real Estate 1%
Sector exposure is heavily tilted toward Industrials at 57%, followed by Technology at 16% and Utilities at 14%, with smaller slices in Energy, Financials, and Real Estate. That pattern fits the AI and power infrastructure theme, but it is quite different from broad equity indices, which are usually more balanced across sectors. Concentrated sector bets can do very well when those industries benefit from strong trends or policy support. However, they can also magnify risk if regulation, interest rates, or sentiment turn against those specific areas, because there are fewer other sectors in the portfolio to offset the impact.
Regions
- North America 97%
- Europe Developed 2%
- Asia Emerging 1%
Geographically, around 97% of exposure is in North America, with only tiny allocations to developed Europe and emerging Asia. That means returns are closely tied to North American economic conditions, regulation, and currency movements. Many global benchmarks have a large North American weight too, but usually not this extreme. Such geographic concentration can be helpful when that region outperforms, because the portfolio captures those gains fully. At the same time, it leaves little participation in growth or recovery phases in other parts of the world, so the portfolio won’t benefit much if other regions lead future market cycles.
Market capitalization
- Large-cap 45%
- Mid-cap 24%
- Small-cap 13%
- Mega-cap 10%
- Micro-cap 8%
Market capitalization exposure is spread across the spectrum: 45% large‑cap, 24% mid‑cap, 13% small‑cap, 10% mega‑cap, and 8% micro‑cap. This mix leans more into smaller companies than a typical broad index, which is generally dominated by mega‑ and large‑caps. Smaller firms often have higher growth potential but also more volatile share prices and sometimes less stable business models. In practice, that means the portfolio may react more sharply to news, both good and bad. The presence of large and mega‑cap names provides some stability, but the meaningful mid/small/micro exposure adds an extra layer of risk and dynamism.
True holdings
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PW Quanta Services Inc 8.47%
Part of fund(s):- Defiance AI & Power Infrastructure ETF
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GE GE Vernova LLC 8.41%
Part of fund(s):- Defiance AI & Power Infrastructure ETF
-
ET Eaton Corporation PLC 8.04%
Part of fund(s):- Defiance AI & Power Infrastructure ETF
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VR Vertiv Holdings Co 7.88%
Part of fund(s):- Defiance AI & Power Infrastructure ETF
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BE Bloom Energy Corp 4.95%
Part of fund(s):- Defiance AI & Power Infrastructure ETF
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CC Cameco Corp 4.33%
Part of fund(s):- Defiance AI & Power Infrastructure ETF
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AV Broadcom Inc 4.03%
Part of fund(s):- Defiance AI & Power Infrastructure ETF
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NV NVIDIA Corporation 3.54%
Part of fund(s):- Defiance AI & Power Infrastructure ETF
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CE Constellation Energy Corp 3.51%
Part of fund(s):- Defiance AI & Power Infrastructure ETF
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MT MasTec Inc 2.33%
Part of fund(s):- Defiance AI & Power Infrastructure ETF
- Top 10 total 55.50%
Looking through the ETF’s top holdings, the largest underlying positions include Quanta Services, GE Vernova, Eaton, Vertiv, and Bloom Energy. Together, the top ten names account for more than half of the whole portfolio, given the single‑ETF structure. Because there is only one fund here, overlap shows up mainly as size: those big positions are the key drivers of performance. It’s worth noting that this look‑through covers only the ETF’s top 10, so some additional diversification exists in smaller positions that aren’t visible. Still, the visible data confirms that a handful of companies strongly influence overall returns.
Factors
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 data is limited, but there are two notable readings: Size shows a 0% exposure, labeled “very low,” and Yield is 30%, classified as low. In factor language, “very low” here means a strong tilt away from the size factor as usually defined in these models, and 30% yield indicates a mild tilt away from high‑dividend stocks compared with the market average of 50%. Because several other factors show “no data,” and the history is short, it’s hard to draw firm conclusions. The main takeaway is that this ETF does not appear to be built around dividend income or classic factor tilts.
Risk contribution
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Defiance AI & Power Infrastructure ETF
Weight: 100.00% 100.0%
Risk contribution shows how much each holding drives the portfolio’s overall ups and downs. In this case, one ETF has 100% weight and 100% of the risk, so the picture is very simple: the ETF’s volatility and behavior entirely define the portfolio’s risk profile. There are no offsetting holdings that might dampen swings or smooth the ride. In a multi‑position portfolio, a small but volatile asset can contribute more than its weight to risk; here, that concept just reinforces that all eggs are in one thematic basket. This setup magnifies the importance of that single ETF’s design and discipline.
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