This portfolio has only about 1.9 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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A momentum happy rocket ship portfolio pretending volatility is just a fun personality trait

Report created on Dec 21, 2025

Risk profile Info

5/7
Growth
Less risk More risk

Diversification profile Info

3/5
Moderately Diversified
Less diversification More diversification
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Positions

This setup is basically “momentum plus more momentum with a side of tech and a gold comfort blanket.” Over 79% in stocks, most of that in tech-heavy, factor-heavy ETFs, and then a big 20% slab of gold like a guilty conscience about risk. Bitcoin at 1% is just signaling, not substance. Against a plain vanilla broad market mix, this looks like someone took “growth” and slammed the turbo button. The structure leans hard into trends and themes rather than balanced building blocks. A more grounded mix would add boring-but-effective core equity and some true diversifiers instead of just doubling down on what’s already working.

Growth Info

Historically, this thing has been on fire: a 33.9% CAGR is “I swear this is real” territory. If someone tossed in $10k at the start of the sample, they’d now look suspiciously lucky versus a basic index investor. Max drawdown of only -17% is almost cute for something this aggressive, but don’t get attached to that number; it’s from one specific period, not a promise. The 22 days making up 90% of returns scream “blink and you miss it” concentration. Past data is like last year’s weather: useful to study, terrible to worship. It’s wiser to mentally halve those return expectations and double-check if the swings are still livable.

Projection Info

The Monte Carlo results here are basically a hype brochure: median outcome up over 9,000% and an average simulated return of 43% a year. That’s fantasy football level optimism. Monte Carlo is just a fancy way of saying “we shook the historical numbers in a box 1,000 times and saw what fell out.” If the inputs are based on a hot streak, the outputs will look like a fairy tale. Real life markets don’t care about your simulations. Treat those numbers as “best-case vibes,” not a plan. It’s smarter to sanity-check outcomes assuming much lower returns and much nastier drawdowns than the model suggests.

Asset classes Info

  • Stocks
    79%
  • Other
    21%

Asset class mix: about 79% stocks, 20% gold, 1% crypto, and absolutely zero chill. Calling this “moderately diversified” is generous; it’s mostly growthy equities with a shiny rock as emotional support. Gold does act differently from stocks over long stretches, but it’s not a magic stabilizer and can go through miserable decades. Bitcoin at 1% is too small to matter in either direction. This isn’t a balanced orchestra; it’s an electric guitar solo with one guy in the back hitting a cymbal. A more rounded mix would add some dull-but-steady income assets or broader bond exposure rather than relying on gold as the only non-equity anchor.

Sectors Info

  • Technology
    44%
  • Financials
    14%
  • Telecommunications
    6%
  • Industrials
    6%
  • Consumer Staples
    3%
  • Consumer Discretionary
    2%
  • Utilities
    1%
  • Basic Materials
    1%
  • Health Care
    1%
  • Energy
    1%
  • Real Estate
    1%

Sector-wise, this portfolio is clearly in a committed relationship with tech: 44% there, plus semiconductors stacked on top, and more tech hiding inside the momentum funds. The rest of the sectors are sprinkled like garnish: a bit of financials, a hint of industrials, and then a tasting menu of 1–3% allocations that won’t move the needle in a crisis. This is not sector diversification; it’s tech with supporting characters. When tech stumbles—or regulators, rates, or valuations bite—this whole setup feels it hard. A saner spread would dial back the tech obsession and give more meaningful weight to sectors that don’t all live and die on the same growth narrative.

Regions Info

  • North America
    61%
  • Europe Developed
    12%
  • Asia Developed
    3%
  • Japan
    1%
  • Australasia
    1%
  • Africa/Middle East
    1%

Geographically, this is “America first and second with some developed markets crumbs.” Around 61% North America plus international developed momentum on top, but almost nothing in emerging markets and very little outside the usual rich-country club. Compared with global equity weightings, it’s still heavily US-biased and trend-chasing abroad too. So even your international slice is more “what’s hot” than “what’s stable.” If the US or developed growth darlings hit a long cold patch, this setup doesn’t have much ballast elsewhere. A sturdier global profile would blend in more boring, broad international exposure rather than only chasing momentum winners across borders.

Market capitalization Info

  • Mega-cap
    40%
  • Large-cap
    31%
  • Mid-cap
    7%
  • Small-cap
    1%

Market cap tilt is mostly mega and large caps, with 71% living in the big end of town and tiny scraps in mid and small caps. So this is not a “hidden small-cap cowboy” portfolio; it’s concentrated in the giant, well-known names that already dominate indexes, just with extra momentum seasoning. That can do great in bull runs, but it leaves you very tied to the fate of a relatively small club of mega companies. When leadership rotates toward smaller or unloved stocks, this structure lags hard. A more rounded equity mix would deliberately spread exposure across sizes instead of just riding the same big names harder through factor overlays.

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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On the risk–return front, this portfolio is basically insisting on working harder for less. The efficient frontier analysis says you could get roughly 38% expected returns at the same risk, while this setup underdelivers that despite all the drama. That’s like driving a sports car in first gear and bragging about the noise. “Efficiency” here just means the best mix of return for each unit of risk, not some fantasy of high gains with no downside. The current blend takes concentrated, factor-heavy bets without squeezing out every drop of expected reward. Tweaking weights toward broader, less overlapping exposures could give more punch per unit of volatility.

Dividends Info

  • Invesco S&P International Developed Momentum ETF 1.60%
  • iShares U.S. Technology ETF 0.10%
  • VanEck Semiconductor ETF 0.30%
  • Invesco S&P 500® Momentum ETF 0.60%
  • Weighted yield (per year) 0.51%

Dividend yield at roughly 0.5% is basically pocket lint. This thing is unapologetically about price appreciation, not cash flow. That’s fine for a growth setup, but anyone dreaming of income is going to be deeply disappointed. If markets go sideways, you’re not getting paid much to wait. Tech, semis, and momentum screens naturally favor reinvesters over payers, so this outcome is expected, just not helpful for stability. A more balanced approach for long-term planning might blend in some genuine dividend payers or yield-focused holdings, especially for future-life phases where living off the portfolio, not just admiring a chart, starts to matter.

Ongoing product costs Info

  • SPDR Gold Mini Shares 0.10%
  • iShares Bitcoin Trust 0.12%
  • Invesco S&P International Developed Momentum ETF 0.25%
  • iShares U.S. Technology ETF 0.40%
  • VanEck Semiconductor ETF 0.35%
  • Invesco S&P 500® Momentum ETF 0.13%
  • Weighted costs total (per year) 0.24%

Costs are the one area where this portfolio acts like it knows what it’s doing. A total expense ratio around 0.24% is impressively reasonable for such a spicy mix of factor and thematic ETFs. The gold and Bitcoin pieces are cheap, the big momentum funds are efficient, and even the tech ETF isn’t highway robbery. So yes, you managed to build a high-octane setup without paying hedge-fund-level nonsense. Still, fees compound just like returns, so it’s always worth checking if you’re paying extra for “smart” strategies that don’t actually beat simpler, cheaper core exposures over time. Low cost is good; blindly trusting factors is not.

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