Riding the AI rocket with training wheels on and pretending it is a balanced portfolio
Report created on May 15, 2026Risk profile
4/7
Diversification profile
2/5
Positions
-
VO Vanguard S&P 500 ETF
VOO - US9229083632 55.00% -
QQ Invesco NASDAQ 100 ETF
QQQM - US46138G6492 30.00% -
SM VanEck Semiconductor ETF
SMH - US92189F6768 10.00% -
DR Roundhill Memory ETF
DRAM 5.00%
This “balanced” portfolio is basically one big US growth engine with some extra turbochargers bolted on. Over half is in a broad US index, almost a third in a tech-heavy mega-cap tracker, and the rest in niche semiconductor and memory themes. That is not balance; that is variations on “bet on the same story.” With only four ETFs, every line item screams equity risk, just with different logos. Structurally, it looks less like a diversified portfolio and more like a fan club for large US tech and chips. The label says 4/7 risk and “balanced,” but the guts say “please enjoy the roller coaster.”
Growth
The one-month performance looks cartoonish: $1,000 turning into $1,223 with a “CAGR” over 600% and a tiny -1.14% max drawdown. This is what happens when you treat a 5-week sugar high as if it were a career-long résumé. CAGR (Compound Annual Growth Rate) over a month is like taking your best sprint and assuming you can keep that pace for a marathon. The portfolio “crushes” US and global markets in this window, but that mostly tells you it caught a hot streak in a very specific segment. Past data is already imperfect; one month of past data is basically financial fan fiction.
Projection
The Monte Carlo projection is doing its best with almost no history, which is like trying to predict a person’s life story after one date. Simulations take past volatility and returns, shake them up thousands of times, and show a spread of possible futures. Here, the “most likely” $2,658 in 15 years with a 7.83% annualized return looks reasonable for equities in general, but the range from $945 to $7,549 screams “we really don’t know.” With only a month of actual data, the model is leaning heavily on assumptions. It’s helpful as a rough sketch, not a prophecy chiseled in stone.
Asset classes
- Stocks 95%
- No data 5%
Asset class breakdown: 95% stocks, 5% “no data,” and 0% of basically anything else. So the “balanced investor” label is doing a lot of imaginative work here. This isn’t a mix of different engines; it’s four flavors of the same jet engine. When almost everything is equity, you live and die with equity markets, no real shock absorbers if things get bumpy. The 5% “no data” bucket might as well be labeled “mystery meat”—and per instructions, we won’t guess what’s in it. As far as usable information goes, this is essentially an all-stock portfolio cosplaying as something more refined.
Sectors
- Technology 45%
- Telecommunications 10%
- Consumer Discretionary 9%
- Financials 7%
- Health Care 6%
- Industrials 5%
- Consumer Staples 5%
- Energy 2%
- Utilities 2%
- Basic Materials 1%
- Real Estate 1%
Sector-wise, tech absolutely dominates at 45%, with telecom and consumer discretionary trailing behind, and everything else getting table scraps. This is basically a “technology plus side characters” portfolio. Compared with broad indexes that spread across the full economy, this stack leans hard on one growth engine and politely nods at the rest. In calm markets, that can look genius; in a tech downturn, it turns into synchronized pain. Concentration at the sector level means the portfolio is taking very specific economic bets, whether intentionally or accidentally. Calling this diversified because it holds multiple ETFs is like calling four superhero movies “genre-diverse.”
Regions
- North America 93%
- Asia Developed 1%
- Europe Developed 1%
Geography is basically “USA forever” with 93% in North America and token cameos from developed Europe and Asia. This is classic home bias, just with extra caffeine. The entire world of listed companies is out there, but this portfolio acts like anything outside North America is an optional DLC. That works great when the US is leading the charge; it looks a lot less clever if leadership rotates elsewhere. From a risk point of view, this means economic, policy, and currency risks are all tied to one main region. For something labeled as “balanced,” the passports here are almost completely unstamped.
Market capitalization
- Mega-cap 47%
- Large-cap 34%
- Mid-cap 14%
On market cap, the portfolio is a love letter to giants: 47% mega-cap, 34% large-cap, and a modest sprinkle of mid-caps. Small caps are basically on the “do not invite” list. That means it’s almost entirely riding on the biggest, most already-successful names, amplified via tech-heavy funds. This tilt can feel safer because big companies seem more stable, but it also means the portfolio is heavily exposed to whatever mood swings hit those giants. If the mega-cap darlings stumble, there is not much in the structure that looks meaningfully different. It’s diversity in logo, not in behavior.
True holdings
-
NV NVIDIA Corporation 8.40%
Part of fund(s):- Invesco NASDAQ 100 ETF
- VanEck Semiconductor ETF
- Vanguard S&P 500 ETF
-
AA Apple Inc 5.79%
Part of fund(s):- Invesco NASDAQ 100 ETF
- Vanguard S&P 500 ETF
-
MS Microsoft Corporation 4.23%
Part of fund(s):- Invesco NASDAQ 100 ETF
- Vanguard S&P 500 ETF
-
AM Amazon.com Inc 3.45%
Part of fund(s):- Invesco NASDAQ 100 ETF
- Vanguard S&P 500 ETF
-
AV Broadcom Inc 3.17%
Part of fund(s):- Invesco NASDAQ 100 ETF
- VanEck Semiconductor ETF
- Vanguard S&P 500 ETF
-
GO Alphabet Inc Class A 2.80%
Part of fund(s):- Invesco NASDAQ 100 ETF
- Vanguard S&P 500 ETF
-
GO Alphabet Inc Class C 2.39%
Part of fund(s):- Invesco NASDAQ 100 ETF
- Vanguard S&P 500 ETF
-
TS Tesla Inc 2.09%
Part of fund(s):- Invesco NASDAQ 100 ETF
- LS 1x Tesla Tracker ETP Securities GBP
- Vanguard S&P 500 ETF
-
MU Micron Technology Inc 1.81%
Part of fund(s):- Invesco NASDAQ 100 ETF
- VanEck Semiconductor ETF
-
AM Advanced Micro Devices Inc 1.72%
Part of fund(s):- Invesco NASDAQ 100 ETF
- VanEck Semiconductor ETF
- Top 10 total 35.85%
The look-through holdings read like the usual mega-cap tech all-star poster: NVIDIA, Apple, Microsoft, Amazon, Alphabet, Tesla, and chip names like Broadcom, Micron, AMD. NVIDIA alone is about 8.4% exposure, without even counting what’s hidden beyond the top 10. Overlap is very real here: the same companies appear across multiple ETFs, turning nominal diversification into a copy-paste exercise. And since we only see ETF top-10s, the actual duplication is almost certainly higher. This is the classic “three funds, one bet” situation: the portfolio looks busy on the outside but is basically just stacking the same giants in slightly different wrappers.
Factors
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 exposure is unintentionally wild: very high value (85%) with very low size (0%) and high momentum (75%). Factors are the hidden ingredients behind performance—value, size, momentum, etc.—like the spice mix in the portfolio’s cooking. Here, you’ve got a strange stew: heavy “value” tilt on paper, but also heavy momentum and almost no small-cap exposure. Leaning this hard into momentum while hugging the largest stocks is like flooring the gas pedal on a convoy of trucks. The “value” reading is particularly suspect given the holdings; with only a month of data, these factor scores are more blurry selfie than high-resolution portrait.
Risk contribution
-
Vanguard S&P 500 ETF
Weight: 55.00% 36.9% -
Invesco NASDAQ 100 ETF
Weight: 30.00% 28.0% -
VanEck Semiconductor ETF
Weight: 10.00% 18.3% -
Roundhill Memory ETF
Weight: 5.00% 16.8%
Risk contribution shows who is actually rocking the boat. The S&P 500 ETF is 55% of weight but only 36.9% of risk, the chill older sibling. The real chaos gremlins are the small thematic bets: a 10% semiconductor ETF throwing off 18.3% of risk, and the 5% memory ETF contributing a wild 16.8%. That memory ETF is punching at over 3x its weight, basically the 5% that thinks it’s the main character. This is exactly why risk contribution matters: the portfolio pretends the spicy stuff is small, but in volatility terms, those little positions are steering the emotional experience.
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 chart basically calls this portfolio inefficient with a smile. At its current risk level, it sits about 10.9 percentage points below the frontier, meaning you’re not even getting the best theoretical deal using the same ingredients. The Sharpe ratio (return per unit of risk, like performance per headache) is 11.74 for the current mix, while a reweighted combo of the same funds climbs to 12.61. Even the minimum-variance mix has a lower Sharpe but far less risk. Given the microscopic data window, none of these numbers are gospel—but they do suggest this particular weighting is more “vibes” than mathematically tidy.
Dividends
- Invesco NASDAQ 100 ETF 0.40%
- VanEck Semiconductor ETF 0.20%
- Vanguard S&P 500 ETF 1.00%
- Weighted yield (per year) 0.69%
With a total yield of 0.69%, this portfolio is not here to shower anyone with cash flow. The S&P 500 ETF dribbles some dividends at around 1%, but the tech-heavy and semiconductor funds are mostly about price movement, not income. This is basically a growth story dressed as a yield footnote. Dividends can act as a steadier, boring part of returns, like a paycheck instead of an occasional bonus. Here, the “paycheck” is tiny relative to the excitement in capital gains. In quiet or choppy markets, that low yield means there’s not much income cushion to soften flat or negative price action.
Ongoing product costs
- Invesco NASDAQ 100 ETF 0.15%
- VanEck Semiconductor ETF 0.35%
- Vanguard S&P 500 ETF 0.03%
- Weighted costs total (per year) 0.10%
Costs are one of the few unambiguous wins: a weighted TER around 0.10% is genuinely lean. The S&P 500 ETF in particular is charging couch-cushion money at 0.03%. Even the pricier semiconductor fund at 0.35% is not outrageous for a specialized theme. So yes, fees are under control—you clearly did not click the “3% expense ratio” monstrosities. The mild irony is that you built an expensive-feeling, high-octane portfolio using low-cost tools. Cost discipline is on point; the question is just whether the overall risk party those cheap funds are throwing is actually what the “balanced” label on the door implies.
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