This portfolio has only about 1.4 years 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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Highly concentrated semiconductor and income focused portfolio with strong recent gains and elevated short term risk

Report created on Apr 7, 2026

Risk profile Info

7/7
Speculative
Less risk More risk

Diversification profile Info

2/5
Low Diversity
Less diversification More diversification
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Positions

This portfolio is tightly focused, with everything in equities and a big tilt toward semiconductors and a single precious metal position. Four holdings make up about 79% of the portfolio, so a small number of ideas drive most of the results. The presence of both broad US equity funds and very narrow thematic positions creates a barbell structure: one side relatively diversified, the other very concentrated. Because the history is only about 1.4 years, it’s hard to know if this structure will behave similarly over a full market cycle. For now, the mix lines up with a “speculative” profile where big swings, both up and down, are expected.

Growth Info

Over the brief 1.4‑year window, $1,000 grew to about $2,528, with a compound annual growth rate (CAGR) near 98%. CAGR is the “average speed” of growth per year, smoothing out bumps along the way. That’s dramatically higher than both the US and global market benchmarks, which ran around 32% over the same period. At the same time, the portfolio experienced a max drawdown of about ‑35%, versus single‑digit declines for the benchmarks. A drawdown is the drop from a peak to a low point. With such a short, strong run and a big unrecovered drop, this performance looks more like a recent hot streak than a proven long‑term pattern.

Projection Info

The forward projection uses a Monte Carlo simulation, which basically re‑mixes past returns into thousands of random “what if” paths to estimate possible futures. Here, $1,000 has a median 15‑year outcome around $2,751, with a wide central range from about $1,803 to $4,151. The overall average across simulations implies roughly 8% per year. Still, this model leans heavily on just 1.4 years of history, which is a very thin sample for a volatile, concentrated portfolio. That makes the numbers more like an educational illustration of risk and dispersion than a solid forecast. Outcomes could easily end up better or worse than these bands suggest.

Asset classes Info

  • Stocks
    100%

All of the portfolio is in stocks, with no bonds, cash substitutes, or other asset classes included in the breakdown. Asset classes are broad buckets like equities, bonds, and real estate that tend to behave differently across market cycles. A 100% equity allocation can amplify both growth and drawdowns because there’s no built‑in ballast from steadier assets. This all‑stock stance, combined with a speculative risk score of 7/7, points to an intentionally aggressive risk level. Over a very short 1.4‑year history, that has delivered strong upside, but there’s not enough data yet to see how this composition responds to deeper or longer‑lasting market stress.

Sectors Info

  • Technology
    59%
  • Financials
    22%
  • Telecommunications
    9%
  • Health Care
    2%
  • Industrials
    2%
  • Consumer Discretionary
    2%
  • Consumer Staples
    1%
  • Consumer Discretionary
    1%
  • Energy
    1%

Sector‑wise, the picture is dominated by technology, at about 59%, with financials next at 22% and the rest spread thinly across several smaller sectors. Sector weights describe how much is tied to different parts of the economy, like tech, finance, or health care. Compared with broad market benchmarks, this is a heavy tilt into one economically sensitive area rather than a balanced mix. Tech‑heavy portfolios often shine when growth stories are in favor but can swing sharply when interest rates move or sentiment turns. With only 1.4 years of history, it’s clear this tilt has boosted recent returns, but it also sets the stage for larger sector‑driven setbacks.

Regions Info

  • North America
    94%
  • Europe Developed
    3%
  • Asia Developed
    3%
  • Asia Emerging
    1%

Geographically, about 94% of the equity exposure sits in North America, with small slices in developed Europe, developed Asia, and emerging Asia. Geography matters because different regions have distinct economic cycles, currencies, and policy environments. Relative to a global equity benchmark, this is a strong home‑country tilt toward North America. That alignment has been beneficial during the recent period, as North American markets have generally been robust. However, given the short history, there hasn’t been a serious test of how this concentration behaves if North America underperforms other regions for an extended stretch, which has happened in past decades.

Market capitalization Info

  • Large-cap
    42%
  • Mega-cap
    35%
  • Mid-cap
    20%
  • Small-cap
    2%
  • Micro-cap
    1%

By company size, the portfolio leans heavily into larger firms: about 77% in mega‑cap and large‑cap names, with the rest in mid‑, small‑, and micro‑caps. Market capitalization (or “market cap”) is simply company size on the stock market, and it affects volatility and resilience. Larger companies often move more slowly than tiny ones, but the inclusion of some small and micro‑cap exposure adds an extra layer of potential swings. This mix provides a base of established firms with a sprinkling of higher‑octane smaller names. Over just 1.4 years, the size blend has supported strong returns, though that interval is too short to show how small caps behave across a full cycle.

True holdings Info

  • Sprott Physical Silver
    19.00%
  • Netflix Inc
    5.50%
  • Navitas Semiconductor Corp
    5.50%
  • NVIDIA Corporation
    2.40%
    Part of fund(s):
    • Invesco NASDAQ 100 ETF
    • Schwab U.S. Large-Cap Growth ETF
    • YieldMax Semiconductor Portfolio Option Income ETF
  • Broadcom Inc
    1.75%
    Part of fund(s):
    • Invesco NASDAQ 100 ETF
    • Schwab U.S. Large-Cap Growth ETF
    • YieldMax Semiconductor Portfolio Option Income ETF
  • Marvell Technology Group Ltd
    1.11%
    Part of fund(s):
    • YieldMax Semiconductor Portfolio Option Income ETF
  • Lam Research Corp
    1.09%
    Part of fund(s):
    • YieldMax Semiconductor Portfolio Option Income ETF
  • ASML Holding NV ADR
    0.87%
    Part of fund(s):
    • YieldMax Semiconductor Portfolio Option Income ETF
  • KLA Corporation
    0.85%
    Part of fund(s):
    • YieldMax Semiconductor Portfolio Option Income ETF
  • Arm Holdings plc American Depositary Shares
    0.83%
    Part of fund(s):
    • YieldMax Semiconductor Portfolio Option Income ETF
  • Top 10 total 38.91%

Looking through the funds, a few underlying holdings like NVIDIA, Broadcom, and other major chipmakers show up across multiple vehicles, although look‑through coverage is only about 45% of the portfolio. Look‑through analysis exposes “hidden” overlaps, where the same company appears in several positions, making the portfolio more concentrated than headline weights suggest. Here, the dedicated semiconductor fund, semiconductor income ETF, and growth‑focused ETFs all echo a similar chip‑centric theme. Because the data only includes ETF top‑10 holdings and the time window is short, actual overlap is likely higher than shown, so the true exposure to a handful of semiconductor names may be more pronounced.

Factors Info

Value
Preference for undervalued stocks
High
Data availability: 40%
Size
Exposure to smaller companies
Very low
Data availability: 59%
Momentum
Exposure to recently outperforming stocks
Neutral
Data availability: 40%
Quality
Preference for financially healthy companies
Neutral
Data availability: 11%
Yield
Preference for dividend-paying stocks
Low
Data availability: 70%
Low Volatility
Preference for stable, lower-risk stocks
Neutral
Data availability: 40%

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.

On factor exposure, the stand‑out is a high tilt toward value and a very low tilt to size. Factors are characteristics like value, quality, or momentum that research links to long‑term patterns in returns, similar to ingredients in a recipe. A high value score suggests the holdings, on average, trade at lower prices relative to fundamentals than the broad market, which can help when richly priced growth stocks struggle. The very low size exposure means the portfolio behaves more like a large‑company basket than a small‑cap one. With just 1.4 years of factor data, these tilts describe the current style rather than a long‑proven, consistently applied strategy.

Risk contribution Info

  • Fidelity Select Semiconductors Portfolio
    Weight: 22.00%
    26.2%
  • YieldMax Semiconductor Portfolio Option Income ETF
    Weight: 19.00%
    20.5%
  • Navitas Semiconductor Corp
    Weight: 5.50%
    19.7%
  • Sprott Physical Silver
    Weight: 19.00%
    19.1%
  • Schwab S&P 500 Index Fund
    Weight: 19.00%
    8.0%
  • Top 5 risk contribution 93.5%

Risk contribution shows how much each holding drives the portfolio’s overall ups and downs, which can differ a lot from weight. Here, the top three positions by risk account for about 66% of total volatility. Notably, Navitas Semiconductor is only 5.5% of the portfolio but contributes almost 20% of the risk, giving it a risk‑to‑weight ratio above 3.5. That’s like a small, very loud instrument dominating the sound of the orchestra. Meanwhile, the broad S&P 500 fund is 19% of the portfolio but under 8% of the risk. Over 1.4 years, this pattern underscores how a few volatile names and thematic funds currently set the tone.

Redundant positions Info

  • Fidelity Select Semiconductors Portfolio
    YieldMax Semiconductor Portfolio Option Income ETF
    High correlation
  • Schwab U.S. Large-Cap Growth ETF
    Schwab S&P 500 Index Fund
    High correlation

The correlation data shows that the semiconductor mutual fund and the semiconductor option‑income ETF have moved almost identically, as have the Schwab US growth ETF and the Schwab S&P 500 fund. Correlation measures how often assets move together; a value near 1 means they usually rise and fall in sync. When similar holdings are tightly correlated, they don’t add much diversification, even if they look different on paper. In this portfolio, the paired semiconductor funds essentially act like one big bet, and the two Schwab funds behave similarly as a broad US equity block. With only 1.4 years of data, correlations could shift, but current readings point to meaningful clustering.

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.

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The risk‑return chart compares the existing mix with an “efficient frontier” built only from these holdings. The current portfolio sits about 1.9 percentage points below that frontier at its risk level, with a Sharpe ratio of 2.19. The Sharpe ratio is a way of measuring return earned per unit of risk, after accounting for a risk‑free rate. The model suggests there are alternative weightings of the same holdings that would have delivered better risk‑adjusted returns or lower volatility in this short sample. The minimum‑variance mix cuts risk notably but also lowers return, while the optimal mix takes even more risk for higher modeled return. With just 1.4 years of inputs, those differences should be viewed as informative, not definitive.

Dividends Info

  • Fidelity Select Semiconductors Portfolio 9.90%
  • Invesco NASDAQ 100 ETF 0.40%
  • Schwab U.S. Large-Cap Growth ETF 0.40%
  • Schwab S&P 500 Index Fund 1.00%
  • YieldMax Semiconductor Portfolio Option Income ETF 36.30%
  • Weighted yield (per year) 9.30%

The portfolio’s overall yield is high, around 9.3%, driven largely by the option‑income semiconductor ETF with a stated yield above 36% and the semiconductor mutual fund near 9.9%. Dividend yield is the annual cash payout as a percentage of price. Option‑income strategies often show elevated yields because they distribute option premiums, which are not guaranteed and can vary with volatility. Over a short 1.4‑year span, these large payouts may look especially attractive, but it’s unclear how stable they will be across different markets. The broad index and growth ETFs contribute modest yields, playing more of a supporting than a leading role in the income profile.

Ongoing product costs Info

  • Fidelity Select Semiconductors Portfolio 0.60%
  • Invesco NASDAQ 100 ETF 0.15%
  • Schwab U.S. Large-Cap Growth ETF 0.04%
  • Schwab S&P 500 Index Fund 0.02%
  • Weighted costs total (per year) 0.15%

The portfolio’s average ongoing cost, or total expense ratio (TER), is about 0.15%, which is relatively low given the mix of specialized and broad funds. TER is the annual fee charged by funds, expressed as a percentage of assets, and it quietly reduces returns over time. The semiconductor mutual fund is the priciest at 0.60%, while the Schwab S&P 500 fund is very cheap at 0.02%. Historically, lower costs have left more of the gross return in investors’ pockets. Even though the performance over the last 1.4 years has been driven mainly by market moves and concentration, this reasonably low fee level is a structural positive for long‑term compounding.

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