Highly concentrated high growth portfolio with extreme risk swings and speculative industrial tilt

Report created on Apr 8, 2026

Risk profile

  • Secure
    Speculative

The risk profile, derived from past market volatility, reflects the level of risk the portfolio is exposed to. This assessment helps align your investments with your financial goals and comfort with market fluctuations.

Diversification profile

  • Focused
    Diversified

The diversification assessment evaluates the spread of investments across asset classes, regions, and sectors. This ensures a balanced mix, reducing risk and maximizing returns by not concentrating in any single area.

Positions

This portfolio is a pure stock collection with seven individual companies and no funds at all. Two holdings, Amprius Technologies and QXO, each sit at 25%, together making up half of everything. The next two, Rivian and Rolls Royce, add another 30%, so four names drive 80% of the capital. Having only single stocks means every company‑specific event directly hits overall performance, with no buffer from broad funds. Such concentration can supercharge gains but also magnifies bad news. For someone using this style, it’s usually wise to size positions in line with how comfortable they are watching large day‑to‑day price moves.

Growth Info

Historically, the performance has been spectacular but brutal. From late 2022 to early 2026, $1,000 grew to about $4,074, a compound annual growth rate (CAGR) near 49%. CAGR is like your average speed on a long road trip, smoothing out bumps along the way. That absolutely crushes both the US and global markets, which were around 17–18% a year. The flip side is a max drawdown of about -69%, meaning the portfolio once fell almost two‑thirds from a peak and hasn’t fully recovered. Only eight days provided 90% of gains, showing returns were driven by a few explosive sessions, which is emotionally and financially tough to ride through.

Projection Info

The Monte Carlo projection tries to map out possible futures by “replaying” many versions of history using randomness. It takes past returns and volatility, then simulates 1,000 different 15‑year paths for a $1,000 investment. The median outcome lands around $2,788, with a wide typical range of roughly $1,850 to $4,125 and a very wide possible range from about $1,002 to $8,260. That spread shows how uncertain things are, even though the average simulated return is a solid 8.3% per year. It’s crucial to remember simulations are only rough guides based on past behavior; real markets can be wilder, calmer, or just plain different.

Asset classes Info

  • Stocks
    100%

Asset‑class wise, everything is in stocks, with zero bonds, cash substitutes, or alternative assets. Equities tend to offer higher long‑term returns but also deliver bigger and more frequent drawdowns. That all‑stock setup aligns with the “speculative investor” label and explains the high risk score of 7/7. Compared with more balanced portfolios that blend stocks and bonds, this one has no built‑in shock absorbers during market stress. For someone comfortable with that, it can be a deliberate choice to chase growth. For anyone needing stability, income, or near‑term liquidity, such a one‑dimensional asset mix can be very unforgiving during downturns.

Sectors Info

  • Industrials
    65%
  • Consumer Discretionary
    25%
  • Technology
    7%
  • Energy
    3%

Sector exposure is heavily tilted toward industrials at 65%, with 25% in consumer discretionary, 7% in technology, and 3% in energy. That means results are tied closely to themes like manufacturing cycles, transportation, advanced materials, or complex engineering projects, plus consumer demand for non‑essential goods and services. This kind of industrial and discretionary focus often booms when the economy is strong and risk appetite is high, but it can suffer when growth slows or financing costs rise. Relative to broad market benchmarks that are more balanced across multiple sectors, this setup increases sensitivity to economic swings and regulatory or supply‑chain shocks in a few specific industries.

Regions Info

  • North America
    75%
  • Europe Developed
    15%
  • No data
    10%

Geographically, about 75% of the exposure is in North America and 15% in developed Europe, with the remaining 10% not clearly classified. That creates a strong tilt toward developed markets and especially the US, which has done well recently but also concentrates economic, currency, and policy risk into a couple of regions. Compared with global benchmarks that spread across North America, Europe, and a meaningful slice of other regions, this allocation is moderately diversified but not broad. When North American or European markets struggle together, there isn’t much offset from other parts of the world, so the portfolio is likely to move in step with those economies.

Market capitalization Info

  • Large-cap
    65%
  • Mid-cap
    25%
  • Mega-cap
    7%
  • Micro-cap
    3%

By market cap, the portfolio leans toward larger companies: about 65% large‑cap, 25% mid‑cap, 7% mega‑cap, and a small 3% slice in micro‑cap. Large and mega‑caps usually offer more liquidity and established business models, which can help during periods of market stress compared with a purely small‑cap basket. However, the mids and micro‑cap slice can inject extra volatility and potentially higher growth. This mix is actually not far from broad market norms in terms of size, which is a positive point: it provides some stability from bigger firms while still allowing room for more aggressive growth stories in the smaller names without dominating everything.

Factors Info

Value
Preference for undervalued stocks
Neutral
Data availability: 100%
Size
Exposure to smaller companies
Low
Data availability: 100%
Momentum
Exposure to recently outperforming stocks
High
Data availability: 100%
Quality
Preference for financially healthy companies
Low
Data availability: 100%
Yield
Preference for dividend-paying stocks
Low
Data availability: 22%
Low Volatility
Preference for stable, lower-risk stocks
Very low
Data availability: 97%

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‑wise, the big story is the very low exposure to low volatility and the high exposure to momentum. Factors are like investment “ingredients” — characteristics such as value, quality, or momentum that research links to long‑term returns. A high momentum tilt means the portfolio holds names that have been strong recent performers, which can supercharge returns in trending markets but often leads to sharper losses when trends reverse. The very low low‑volatility score confirms the portfolio is stacked with more jumpy, high‑beta stocks. Value is neutral, while quality and yield are on the lower side, so there’s less emphasis on steady earnings or dividends and more on rapid price moves and growth narratives.

Risk contribution Info

  • QXO, Inc.
    Weight: 25.00%
    51.9%
  • Amprius Technologies Inc.
    Weight: 25.00%
    35.2%
  • Rivian Automotive Inc
    Weight: 15.00%
    6.5%
  • Rolls Royce Holdings plc
    Weight: 15.00%
    2.9%
  • Micron Technology Inc
    Weight: 7.00%
    1.8%
  • Top 5 risk contribution 98.2%

Risk contribution shows how much each holding drives the portfolio’s overall ups and downs, which can differ a lot from simple weights. QXO is only 25% of the capital but contributes about 52% of the total risk — more than half the volatility comes from that single name. Amprius, also at 25% weight, adds another 35% of risk. Together, the top three holdings account for over 93% of portfolio risk. This is like having a band where two instruments drown out everyone else. If QXO or Amprius hit a rough patch, the entire portfolio’s behavior is dominated by them, regardless of how diversified the rest might appear by sector or geography.

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 highlights how much more this mix is taking in risk than it needs to for the return achieved. The current portfolio has a Sharpe ratio of 1.1, compared with 2.38 for the optimal mix using the same holdings and 1.84 for the minimum‑variance version. The Sharpe ratio is like a “bang for your buck” measure: how much extra return you get per unit of risk above a risk‑free rate. Being roughly 24 percentage points below the frontier at this risk level means simply reweighting the existing seven stocks — no new assets required — could substantially improve the tradeoff between volatility and expected return while still keeping the same ideas.

Dividends Info

  • Micron Technology Inc 0.10%
  • Rolls Royce Holdings plc 0.90%
  • Weighted yield (per year) 0.14%

Dividend income here is almost negligible. Only Micron and Rolls Royce pay dividends, and their combined yield is roughly 0.14% for the portfolio. Dividends are regular cash payouts from companies and can be important for investors seeking income or stability, but this setup clearly prioritizes growth and capital appreciation over cash flow. That’s not inherently bad — many high‑growth companies reinvest profits instead of paying them out — but it does mean total returns are likely to be driven almost entirely by price changes. Anyone relying on this capital for spending would face very lumpy cash flows and might be forced to sell shares in downturns.

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