Highly concentrated AI and power equity portfolio with exceptional short term returns and speculative risk profile
Report created on May 4, 2026Risk profile
7/7
Diversification profile
2/5
Positions
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MU Micron Technology Inc
MU - US5951121038 50.00% -
NV NVIDIA Corporation
NVDA - US67066G1040 25.00% -
AI Defiance AI & Power Infrastructure ETF
AIPO 25.00%
This portfolio is extremely focused, holding just three positions, all in individual stocks or a single thematic ETF. Half of the allocation sits in Micron, a quarter in NVIDIA, and the remaining quarter in an AI and power infrastructure ETF. That means one company dominates, another plays a big secondary role, and the ETF provides only a modest layer of diversification. With roughly nine months of data, it’s important to see this structure as a snapshot, not a proven long-term approach. The concentration amplifies both upside and downside: relatively small moves in Micron or NVIDIA can drive large swings in the overall portfolio value.
Growth
Over the short nine‑month window, the portfolio turned $1,000 into about $3,002, which translates into a 323% compound annual growth rate (CAGR). CAGR is like average speed on a road trip, smoothing out bumps along the way. Against broad US and global equity benchmarks, this period shows enormous outperformance, but it coincides with a particularly strong run in AI‑related names. Max drawdown, at about ‑25%, shows the portfolio has already experienced sharp drops. Because the history is short and dominated by a hot theme, these results are more a sign of recent market conditions than a reliable long‑term pattern.
Projection
The forward projection uses a Monte Carlo simulation, which basically replays and reshuffles past returns thousands of times to imagine many possible futures. Here, it suggests a median outcome of around $2,684 from $1,000 over 15 years, with a wide possible range from roughly $973 to $7,412. That wide spread reflects the speculative nature of the holdings. Since the simulation relies on only about nine months of unusually strong data, it likely overstates potential upside and understates the chance of very poor outcomes. It’s best viewed as a rough illustration of uncertainty rather than a forecast to rely on.
Asset classes
- Stocks 100%
All of this portfolio sits in a single asset class: equities. There are no bonds, cash substitutes, or alternative assets in the mix. A 100% stock allocation typically means higher potential long‑term growth but also deeper and more frequent drawdowns. In broad, diversified portfolios, other asset classes can soften the impact when stocks fall. Here, that cushioning effect is absent. With only one asset class and just three holdings, the portfolio’s ups and downs are tightly tied to equity market sentiment, especially around AI and related themes, which can be particularly cyclical and news‑driven.
Sectors
- Technology 79%
- Industrials 14%
- Utilities 4%
- Energy 2%
- Financials 1%
Sector exposure is heavily skewed: about 79% in technology, with smaller slices in industrials, utilities, energy, and financials. That means most of the risk and return is linked to how tech‑related businesses, especially AI and chips, perform. When conditions are favorable for innovation, growth, and higher risk appetite, such a tilt can produce strong gains. But tech‑heavy portfolios often react sharply to changes in interest rates, regulation, or sentiment toward high‑growth companies. The modest exposure to more defensive sectors offers only limited offset if technology experiences a prolonged slump or a sharp re‑rating.
Regions
- North America 99%
- Europe Developed 1%
Geographically, the portfolio is almost entirely tied to North America, at about 99%, with a tiny allocation to developed Europe. This means results depend heavily on the trajectory of the US economy, US policy, and the US dollar. Global benchmarks tend to spread exposure more broadly across regions, capturing different economic cycles and currencies. A near‑single‑region focus can work very well when that region leads, as the US has recently, but it also means that any region‑specific shock or policy shift could affect nearly the entire portfolio at once, with little offset from other markets.
Market capitalization
- Mega-cap 77%
- Large-cap 12%
- Mid-cap 5%
- Small-cap 4%
- Micro-cap 2%
By market capitalization, the portfolio leans heavily into mega‑caps (77%), with smaller allocations to large, mid, small, and micro‑cap stocks. Mega‑caps are the very largest companies, which often have more established businesses but can still be volatile when expectations are high, as in leading AI names. The small and micro‑cap slices are limited but can add extra volatility because their prices often move more sharply on news. Overall, this structure places most weight on a few very large companies while sprinkling in a bit of higher‑octane exposure further down the size spectrum.
True holdings
-
-
Part of fund(s):
- Defiance AI & Power Infrastructure ETF
-
GE GE Vernova LLC 2.12%
Part of fund(s):- Defiance AI & Power Infrastructure ETF
-
ET Eaton Corporation PLC 2.06%
Part of fund(s):- Defiance AI & Power Infrastructure ETF
-
PW Quanta Services Inc 2.04%
Part of fund(s):- Defiance AI & Power Infrastructure ETF
-
VR Vertiv Holdings Co 1.90%
Part of fund(s):- Defiance AI & Power Infrastructure ETF
-
CC Cameco Corp 1.15%
Part of fund(s):- Defiance AI & Power Infrastructure ETF
-
CE Constellation Energy Corp 1.00%
Part of fund(s):- Defiance AI & Power Infrastructure ETF
-
AV Broadcom Inc 0.96%
Part of fund(s):- Defiance AI & Power Infrastructure ETF
-
BE Bloom Energy Corp 0.76%
Part of fund(s):- Defiance AI & Power Infrastructure ETF
- Top 10 total 87.96%
Looking through the ETF’s top holdings shows that Micron and NVIDIA dominate even more than the headline weights suggest. Micron is a pure 50% direct position, and NVIDIA appears both directly (25%) and indirectly via the ETF (about 1%), bringing its total exposure close to 26%. Other ETF holdings, such as GE Vernova, Eaton, Quanta Services, and Vertiv, each contribute around 2% or less. This creates a classic “hidden concentration” effect: the same big tech names drive most outcomes, while the ETF adds only modest diversification. Note that overlap may be understated since only the ETF’s top ten are included.
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 exposure shows very strong tilts toward momentum and quality, with very low exposure to size and low volatility. Factors are like underlying “traits” that influence returns. High momentum means the holdings have recently performed very well, which can keep working in trending markets but tends to hurt during sharp reversals. Very high quality suggests strong balance sheets and profitability, which can be a stabilizing feature. Very low size and low volatility tilts imply a preference for larger, more dynamic names rather than calmer, defensive stocks. Combined, this points to a portfolio that can move fast in either direction.
Risk contribution
-
Micron Technology Inc
Weight: 50.00% 71.3% -
Defiance AI & Power Infrastructure ETF
Weight: 25.00% 15.2% -
NVIDIA Corporation
Weight: 25.00% 13.5%
Risk contribution reveals how much each holding drives the portfolio’s overall ups and downs. Micron, at 50% weight, contributes over 71% of total risk, meaning it dominates the risk profile. NVIDIA and the ETF each weigh 25% but contribute only about 13–15% of risk each. This mismatch shows that Micron is not just the largest holding; it is also the most volatile or least diversified relative to the others. In practice, this means portfolio outcomes are heavily tied to Micron’s fortunes. Even if the other holdings behave differently, they have limited ability to offset a big Micron move.
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 suggests that, using these three holdings alone, the current mix already sits on or very close to the efficient frontier. The efficient frontier is the curve of best possible returns for each level of risk given the available assets. Sharpe ratio, which compares excess return to volatility, is high across the board here but especially for the “optimal” portfolio, which carries more risk than the current mix. Since all this relies on only a short, unusually strong period, the impressive Sharpe values should be treated cautiously rather than as proof of enduring efficiency.
Dividends
- Micron Technology Inc 0.10%
- Weighted yield (per year) 0.05%
Dividends play virtually no role in this portfolio. Micron’s yield is about 0.10%, and the overall portfolio yield sits around 0.05%, which is negligible. That means nearly all returns depend on price movement rather than regular cash payouts. For growth‑oriented, tech‑like holdings, this is common: companies often reinvest earnings instead of paying them out. The trade‑off is that income is minimal, and any cash needs would typically have to be met by selling shares. Over time, total return can still be strong, but it rests much more on the market’s future expectations than on steady income streams.
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