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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Riding a turbocharged index fund with a tiny science project bolted to the front

Report created on May 28, 2026

Risk profile Info

4/7
Balanced
Less risk More risk

Diversification profile Info

2/5
Low Diversity
Less diversification More diversification

Positions

This portfolio is basically “VTI plus a weird hobby.” Ninety-five percent is a broad US stock market ETF, which is boring in the good way, and then there’s a 5% flyer on a niche “memory” theme like someone couldn’t resist pressing the shiny button. Structurally this is a one-fund portfolio with an optional side bet pretending to be diversification. With only about two months of data, any personality the portfolio seems to show is mostly noise, not a deep truth. Overall, it’s simple, concentrated in one core exposure, and then decorated with a small, unnecessarily spicy add‑on that contributes drama far beyond its size.

Growth Info

On paper, the recent performance looks like it was written by a marketing intern on a sugar high: a 232% annualized return over two months, easily trouncing both US and global markets. That sounds impressive until you remember CAGR here is like measuring marathon skill from a 100‑meter sprint. Max drawdown of roughly -2.5% in such a short period tells almost nothing about how this setup behaves in a real bear market. The portfolio “winning” against benchmarks over a few weeks is basically a statistical party trick. Past data is helpful, but this little sliver of history is yesterday’s weather, not a climate report.

Projection Info

The Monte Carlo projection is trying its best with almost no history to work from, so treat it like a forecast drawn with a blunt crayon. Monte Carlo just simulates thousands of possible future paths using volatility and return estimates to see how $1,000 might grow. Median ending value around $2,688 over 15 years and a 72% chance of a positive outcome sound reasonable, but they’re built on wobbly inputs. With only two months of returns, the model is leaning heavily on assumptions and generic market behavior, not hard evidence about this exact mix. It’s more “vibes‑adjusted math” than precise engineering.

Asset classes Info

  • Stocks
    100%

Asset class breakdown is brutally simple: 100% stocks, 0% anything else. This is the financial equivalent of an all‑carb diet. It might taste great in bull markets, but there’s nothing here to soften the hit when stocks collectively decide to jump off a cliff. Being fully in equities isn’t automatically wrong, it just means every mood swing of the stock market flows straight through to the portfolio with no buffer. Over longer periods, other asset classes often act like shock absorbers. Here, the suspension system has been removed for weight savings and “performance.”

Sectors Info

  • Technology
    37%
  • Financials
    11%
  • Telecommunications
    10%
  • Consumer Discretionary
    10%
  • Industrials
    9%
  • Health Care
    9%
  • Consumer Staples
    4%
  • Energy
    4%
  • Real Estate
    2%
  • Utilities
    2%
  • Basic Materials
    2%

The sector mix screams “tech-curious index hugger.” Technology sits at 37%, well ahead of everything else, followed by more modest slices in financials, telecom, consumer stuff, and industrials. That’s what happens when the core holding tracks a broad market where tech behemoths dominate the top. It’s not a deliberate tech bet so much as inheriting the market’s current obsession. The risk is that one big cluster of sectors, driven by similar narratives and rates sensitivity, ends up steering returns. When that cluster sneezes, this portfolio catches a cold, no matter how diversified the rest of the pie chart looks.

Regions Info

  • North America
    96%
  • Asia Developed
    3%

Geography-wise, this portfolio is basically “USA and a small participation trophy elsewhere.” About 96% is in North America, with a token 3% in developed Asia that barely registers. That’s not global diversification; that’s home bias with a side of “fine, here’s one foreign stock.” It means the portfolio lives and dies on US economic policy, US corporate profits, and US market mood. If other regions outperform or behave differently in a downturn, this setup won’t benefit much. It’s less a world portfolio and more a patriotic monologue with a single overseas guest cameo.

Market capitalization Info

  • Mega-cap
    42%
  • Large-cap
    30%
  • Mid-cap
    18%
  • Small-cap
    6%
  • Micro-cap
    2%

Market cap exposure is a textbook “cap-weighted index with a conscience.” Mega‑caps at 42% and large‑caps at 30% dominate, while mid-, small-, and micro-caps trail in polite, single‑digit and teens allocations. Translation: the giants are steering the ship, and the little guys are just ballast. That’s normal for a broad market ETF, but it does mean the portfolio’s behavior is heavily tied to a handful of enormous companies. If mega‑caps drift sideways while smaller names run, this setup mostly yawns. If mega‑caps melt down, the smaller stuff won’t be big enough to save the day.

True holdings Info

  • NVIDIA Corporation
    6.30%
    Part of fund(s):
    • Vanguard Total Stock Market Index Fund ETF Shares
  • Apple Inc
    5.45%
    Part of fund(s):
    • Vanguard Total Stock Market Index Fund ETF Shares
  • Microsoft Corporation
    4.14%
    Part of fund(s):
    • Vanguard Total Stock Market Index Fund ETF Shares
  • Amazon.com Inc
    3.51%
    Part of fund(s):
    • Vanguard Total Stock Market Index Fund ETF Shares
  • Alphabet Inc Class A
    3.07%
    Part of fund(s):
    • Vanguard Total Stock Market Index Fund ETF Shares
  • Broadcom Inc
    2.71%
    Part of fund(s):
    • Vanguard Total Stock Market Index Fund ETF Shares
  • Alphabet Inc Class C
    2.41%
    Part of fund(s):
    • Vanguard Total Stock Market Index Fund ETF Shares
  • Meta Platforms Inc.
    1.83%
    Part of fund(s):
    • Vanguard Total Stock Market Index Fund ETF Shares
  • Tesla Inc
    1.47%
    Part of fund(s):
    • LS 1x Tesla Tracker ETP Securities GBP
    • Vanguard Total Stock Market Index Fund ETF Shares
  • SK Hynix Inc
    1.38%
    Part of fund(s):
    • Roundhill Memory ETF
  • Top 10 total 32.28%

The look‑through holdings basically reveal the usual suspects running the show: NVIDIA, Apple, Microsoft, Amazon, Alphabet, Meta, Tesla, Broadcom, plus a chip name from overseas. These names repeat across the ETFs, creating hidden concentration even though only top‑10 data is visible. NVIDIA at over 6% and Apple north of 5% is not exactly subtle. For a “diversified” index‑based portfolio, an outsized amount of fate is tied to a tiny club of mega‑cap celebrities. If any of them face a rough patch, the portfolio doesn’t get to just shrug and say “but I’m diversified” — not really.

Factors Info

Value
Preference for undervalued stocks
No data
Data availability: 0%
Size
Exposure to smaller companies
Very low
Data availability: 100%
Momentum
Exposure to recently outperforming stocks
No data
Data availability: 0%
Quality
Preference for financially healthy companies
No data
Data availability: 0%
Yield
Preference for dividend-paying stocks
Neutral
Data availability: 100%
Low Volatility
Preference for stable, lower-risk stocks
Neutral
Data availability: 95%

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 data is hilariously sparse here. Size shows a “very low” tilt, meaning this thing is leaning away from smaller companies and hugging the big, established names even more than a standard market mix. That lines up with the look‑through: mega‑caps everywhere. Yield and low volatility both show as neutral, which is finance speak for “basically like the market.” With no usable data for momentum, value, or quality, there’s zero basis to claim any clever factor story. This isn’t a precision‑engineered factor strategy; it’s a plain market exposure with an extra shove toward the largest stocks.

Risk contribution Info

  • Vanguard Total Stock Market Index Fund ETF Shares
    Weight: 95.00%
    78.6%
  • Roundhill Memory ETF
    Weight: 5.00%
    21.4%

Risk contribution reveals the comedy: the 5% “memory” ETF is doing over 21% of the risk heavy lifting. That’s more than four times its weight, which is wild. Meanwhile, the 95% core fund generates about 79% of the risk — roughly proportional and actually pretty polite for its size. Risk contribution is basically asking, “Who’s shaking the portfolio the hardest?” and the answer is: the tiny side bet is way louder than it looks. This is like bolting a turbo onto a Prius — the car is mostly sensible, but that little add‑on is what’s trying to blow the engine.

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 stats say this portfolio is actually sitting right on or very near the optimal curve, which is mildly annoying because it leaves less to mock. Sharpe ratio north of 8 versus an only slightly higher max‑Sharpe alternative suggests the current mix is already pretty efficient for its risk level — at least over this tiny, untrustworthy data window. The minimum variance version would shave risk but also cut returns and Sharpe a bit. In plain English: with the current ingredients and this short history, the math says the weights aren’t obviously dumb. Luck, not genius, is still the prime suspect.

Dividends Info

  • Vanguard Total Stock Market Index Fund ETF Shares 1.00%
  • Weighted yield (per year) 0.95%

Dividend yield around 1% is basically pocket change — this portfolio is clearly not trying to be an income machine. That’s consistent with a broad US stock ETF dominated by growthier mega‑caps that prefer buybacks to fat dividends. Dividends can be a nice “pay you to wait” feature, but here they’re more of a side effect than a design choice. Anyone expecting regular juicy cash flows from this setup would be disappointed; the main show is price movement, not income. At least the low yield matches the high‑growth, equity‑heavy vibe rather than pretending to be something it’s not.

Ongoing product costs Info

  • Vanguard Total Stock Market Index Fund ETF Shares 0.03%
  • Weighted costs total (per year) 0.03%

Costs are the one area where this thing is almost suspiciously sensible. A total expense ratio of 0.03% is basically couch‑cushion money — you’d lose more in fractions of a cent rounding errors. Fees are under control largely because the main holding is a famously cheap index ETF. The quirky 5% thematic ETF doesn’t manage to drag the average up much. It’s like flying business class for economy prices, except the plane is an index fund and the champagne is market beta. If there’s one thing this portfolio doesn’t botch, it’s not lighting money on fire via fees.

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