This portfolio has only about 2 months 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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Leveraged tech rocket ship built on two months of vibes and a suspiciously perfect chart

Report created on Jun 6, 2026

Risk profile Info

6/7
Aggressive
Less risk More risk

Diversification profile Info

3/5
Moderately Diversified
Less diversification More diversification

Positions

This portfolio looks like someone saw “AI” and “space” on TikTok and just started mashing the buy button. It’s basically a tech‑heavy stock pickers’ playground with a big leveraged ETF glued on top and a token sprinkle of “sensible” stuff like short‑term Treasuries and a dividend ETF so it doesn’t look totally unhinged. The positions are chunky: lots of 2–6% bets in individual names, so this isn’t diversification, it’s a collection. With only about two months of data, none of this structure has been tested through anything resembling a real market storm, so the portfolio currently looks brilliant largely because reality hasn’t had time to disagree yet.

Growth Info

That performance chart is straight fantasy‑novel material: $1,000 turning into $1,647 in about two months and a cartoonish 1,761% annualized CAGR. For context, CAGR (compound annual growth rate) is just “if every year was like this one,” and here “this one” is barely eight weeks. The market benchmarks look slow and boring next to it, but they’re at least vaguely realistic. A max drawdown under 5% for a portfolio this wild over such a short window is more “camera snapshot” than “battle test.” Past data is like yesterday’s weather — informative, but trying to extrapolate a climate from a sunny afternoon is asking for trouble.

Projection Info

The Monte Carlo simulation is basically a thousand “what if the future goes differently” reruns fed with this tiny and hypercharged history. It spits out a median of $2,714 from $1,000 over 15 years, which is around a 7.6% annualized return — way calmer than the historical figure, because math doesn’t believe in magic. The range is huge: from “barely broke even” to “lottery ticket,” which is what you get when you feed a volatile, concentrated portfolio into a model with almost no real history. With just two months of data, the projection is more like a sketch than a blueprint; it says “risky growth-ish,” not “this is how your life plays out.”

Asset classes Info

  • Stocks
    90%
  • Cash
    8%
  • No data
    2%

Asset‑class wise, this thing is 90% stocks, about 8% cash‑like Treasuries, and a tiny slice of “no data” mystery. That’s about as subtle as a sign reading “I like risk.” There’s no meaningful buffer from bonds or anything stabilizing, so when stocks move, this portfolio just goes along for the full ride. The 0‑3 month Treasury ETF is like showing up to a demolition derby in a bicycle helmet: technically protection, but not really the kind that matters when things get serious. Over such a short history, it all looks manageable, but the structure is clearly built for big swings, not smooth sailing.

Sectors Info

  • Technology
    48%
  • Telecommunications
    12%
  • Industrials
    8%
  • Cash
    8%
  • Health Care
    7%
  • Energy
    6%
  • Consumer Staples
    3%
  • Consumer Discretionary
    3%
  • Financials
    3%

This breakdown covers the equity portion of your portfolio only.

Sector allocation screams tech obsession: roughly half in technology, plus another big chunk in telecommunications and then a scattering of everything else so no one can accuse it of being literally 100% tech. Energy, health care, staples, financials — they’re all background extras in a movie starring semis, chips, and space toys. That’s fine when those sectors are hot and the last two months have been friendly, but it’s the equivalent of betting every parlay on the same team. If the tech theme stumbles, this portfolio doesn’t politely “lag,” it just eats the full sector experience, and the short track record hasn’t yet shown what that actually feels like.

Regions Info

  • North America
    77%
  • Cash
    8%
  • Europe Developed
    7%
  • Asia Emerging
    4%
  • Australasia
    2%

This breakdown covers the equity portion of your portfolio only.

Geographically, this is basically “North America or bust” with 77% there, then a small side quest into developed Europe and a little emerging Asia via semis, plus a token sliver of Australasia. It’s like calling a trip “world travel” because you changed planes in Heathrow once. The home‑bias is obvious and typical, but again, the tiny two‑month window makes it look like a harmless choice because nothing geographically ugly has happened yet. In a real global shock, heavy regional clustering can mean everything dives at the same time, and this setup doesn’t leave much room for other regions to behave differently when it actually counts.

Market capitalization Info

  • Mega-cap
    49%
  • Large-cap
    32%
  • Mid-cap
    3%

This breakdown covers the equity portion of your portfolio only. Some holdings may not have full classification data available. Percentages may not add up to 100%.

Market cap breakdown is basically “worship at the altar of the giants”: about half mega‑caps, another third large‑caps, and barely any mid‑caps in sight. This is classic “own the winners” behavior — crowding into huge, already‑proven names plus a few spicy smaller plays on the side. It works great when the big dogs keep running, as recent data helpfully confirms, but it also means the portfolio is heavily tied to whatever mood the mega‑cap growth complex is in. With only a couple of months of numbers, all you’ve seen is the good side of that coin; the bad side looks a lot more like synchronized air‑pocket drops.

True holdings Info

  • NVIDIA Corporation
    5.84%
    Part of fund(s):
    • ProShares Ultra QQQ
    Direct holding 4.74%
  • Micron Technology Inc
    5.65%
  • Alphabet Inc Class A
    5.49%
    Part of fund(s):
    • ProShares Ultra QQQ
    Direct holding 5.04%
  • Eli Lilly and Company
    5.05%
  • Western Digital Corporation
    4.34%
  • Exxon Mobil Corp
    4.34%
  • Sandisk Corp
    4.34%
  • Broadcom Inc
    4.18%
    Part of fund(s):
    • ProShares Ultra QQQ
    Direct holding 3.73%
  • Taiwan Semiconductor Manufacturing
    4.14%
  • Nebius Group N.V.
    3.73%
  • Top 10 total 47.10%

This breakdown covers the equity portion of your portfolio only.

The look‑through data shows double‑dipping into a few favorites: NVIDIA, Alphabet, Broadcom, Rocket Lab, and AST SpaceMobile show up both directly and via ETFs. So some of those neat allocation percentages are lying to you — a stock might be 4–5% “officially” but actually carries more weight when its ETF cameos are added. And that’s just from top‑10 ETF holdings; the real overlap is likely higher. It’s the portfolio version of putting the same actor in three different disguises and pretending it’s a diverse cast. Short-term performance flatters this concentration, but it also means a handful of names silently control a lot of the outcome.

Factors Info

Value
Preference for undervalued stocks
Low
Data availability: 72%
Size
Exposure to smaller companies
Very low
Data availability: 90%
Momentum
Exposure to recently outperforming stocks
No data
Data availability: 0%
Quality
Preference for financially healthy companies
Very high
Data availability: 65%
Yield
Preference for dividend-paying stocks
Neutral
Data availability: 77%
Low Volatility
Preference for stable, lower-risk stocks
Low
Data availability: 86%

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, this thing has a very strong quality tilt and a very strong tilt away from size (almost no small‑cap factor), with low value and low low‑vol exposure. Think “expensive, shiny, high‑grade names that move a lot” rather than “cheap and boring.” Factors are like the hidden flavors in the sauce — they explain why it tastes the way it does. Here, leaning heavily into quality is actually the most grown‑up decision in the whole setup, but the near‑absence of a size tilt means this isn’t a scrappy underdog portfolio; it’s a bet on big, polished growth engines. With so little history, you haven’t seen how this combo behaves when quality growth falls out of fashion.

Risk contribution Info

  • ProShares Ultra QQQ
    Weight: 17.66%
    17.0%
  • Micron Technology Inc
    Weight: 5.65%
    13.6%
  • Sandisk Corp
    Weight: 4.34%
    9.6%
  • Arm Holdings plc American Depositary Shares
    Weight: 2.93%
    6.5%
  • Western Digital Corporation
    Weight: 4.34%
    6.4%
  • Top 5 risk contribution 53.1%

Risk contribution is where the drama shows up. Micron at 5.65% weight pulling 13.6% of total risk, and Sandisk and Arm punching at more than double their size, means a few names are hogging the volatility spotlight. Risk contribution just measures who’s actually shaking the portfolio, not who looks important on paper. The top three positions alone drive over 40% of the total risk, despite being far from 40% of the weight. That’s like having a five‑piece band where the drummer, guitarist, and one maniac backing singer play at full volume while everyone else mimes. Over two months, that chaos looked profitable; in a real downturn, it just gets loud.

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.

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The efficient frontier chart basically calls this portfolio inefficient with a megaphone. At this risk level, it sits roughly 59 percentage points below what could be achieved using the same ingredients with smarter sizing. The Sharpe ratio — return per unit of risk, like grading how much drama you accept for each dollar of gain — is a wild 10.33 off this absurd short history, but both the “optimal” and minimum‑variance portfolios crush it on a risk‑adjusted basis. Translation: even without adding new holdings, just shuffling current weights could offer a much saner risk/return deal. Right now it’s like driving a sports car in first gear with the pedal down — noisy, fast in bursts, and not exactly efficient.

Dividends Info

  • Broadcom Inc 0.60%
  • Dell Technologies Inc 0.60%
  • GE Vernova LLC 0.20%
  • Alphabet Inc Class A 0.20%
  • Eli Lilly and Company 0.40%
  • Micron Technology Inc 0.10%
  • ProShares Ultra QQQ 0.10%
  • Schwab U.S. Dividend Equity ETF 3.20%
  • iShares 0-3 Month Treasury Bond ETF 3.90%
  • Taiwan Semiconductor Manufacturing 0.70%
  • Vertiv Holdings Co 0.10%
  • Western Digital Corporation 0.10%
  • Exxon Mobil Corp 2.00%
  • Weighted yield (per year) 0.76%

Dividend yield at 0.76% is basically pocket lint. The supposed “dividend” ETF is doing the heavy lifting with a 3.2% yield, and Treasuries at around 3.9% help a bit, but the rest of the lineup is mostly growth names that treat dividends as a distant theory, not a life choice. Dividends are just cash payments from companies; here, they’re more of a side quest than the main game. Over two months, yield doesn’t matter much anyway, but structurally this portfolio clearly doesn’t care about steady cash flow. It wants capital gains, and ideally the fast kind, even though the limited history hasn’t given it a chance to experience the other side of “fast.”

Ongoing product costs Info

  • ProShares Ultra QQQ 0.95%
  • Schwab U.S. Dividend Equity ETF 0.06%
  • iShares 0-3 Month Treasury Bond ETF 0.07%
  • Weighted costs total (per year) 0.18%

Costs are the rare adult moment: total TER around 0.18% is actually pretty reasonable, especially considering a 0.95% fee anchor from the leveraged QQQ fund. The cheap Schwab dividend ETF and short‑term Treasury ETF are doing heroic work dragging that average down. TER (total expense ratio) is just the annual cut the managers take; less is more. So yes, fees are under control — you somehow built a speculative, leveraged, tech‑heavy rocket and then negotiated a decent price on the fuel. Just don’t confuse low ongoing costs with low portfolio risk; this is still a high‑octane setup no matter how tidy the fee line looks.

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