High octane momentum heavy portfolio with strong quality tilt and concentrated growth themes

Report created on Mar 23, 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

The portfolio is extremely focused: 100% in stocks and stock ETFs, with ten positions and a clear growth tilt. A single momentum ETF is over a quarter of the portfolio, and several high-conviction individual names sit between 5–13% each. This kind of structure concentrates both upside and downside in a small number of ideas rather than spreading risk widely. That can feel great in strong markets but painful in sharp selloffs. A key takeaway is that this setup suits someone who prefers bold, conviction-driven allocations over broad one-fund diversification and is comfortable actively monitoring positions and volatility rather than treating this like a “set it and forget it” core holding.

Growth Info

Historically, performance has been spectacular: a $1,000 example grew to about $6,237, with a 39.1% CAGR versus roughly 14.7% for the U.S. market and 12.7% globally. CAGR (compound annual growth rate) is like your average “speed” over the whole trip. The flip side is a max drawdown of –41.8%, meaning the portfolio once fell over 40% from a peak, almost double the U.S. market’s worst drop in this window. Most gains came in just 34 days, showing strong dependence on a few big up days. This track record highlights powerful upside but also deep, sudden declines and timing risk; it’s crucial to remember past returns like this are unlikely to be permanent or guaranteed.

Projection Info

The forward Monte Carlo simulation shows a very wide range of possible 10‑year outcomes. Monte Carlo modeling basically takes the portfolio’s historical ups and downs and shuffles them into thousands of random paths to see many plausible futures. Median results are eye‑popping, but the 5th percentile still only roughly doubles money, while the upper paths explode higher. The average projected annual return above 50% is almost certainly overstating reality because it assumes the recent, very strong period repeats. The real lesson is not the exact numbers but the shape: this is a high-uncertainty, high-upside profile where future results could diverge massively from the past.

Asset classes Info

  • Stocks
    100%

All capital is in one asset class: equities. That is very aggressive and lines up with the profile score, but it also means there is no built‑in shock absorber from bonds, cash, or other stabilizing assets. Equities historically deliver higher long‑term returns but with more dramatic drawdowns, especially when concentrated in specific themes. For many goals, combining growth assets with some defensive components can smooth the ride and make it easier to stay invested through stress. Here, staying purely in stocks can work if there is a long time horizon and strong risk tolerance, but it leaves little room for short‑term liquidity needs or capital preservation priorities.

Sectors Info

  • Technology
    58%
  • Industrials
    10%
  • Consumer Discretionary
    10%
  • Financials
    5%
  • Basic Materials
    5%
  • Energy
    5%
  • Telecommunications
    4%
  • Consumer Staples
    2%
  • Utilities
    1%
  • Health Care
    1%

Sector exposure is heavily tilted toward technology at 58%, with the rest spread across industrials, consumer cyclicals, financials, materials, energy, communication services, and small slivers elsewhere. This tech‑heavy stance means performance will be strongly tied to innovation cycles, chip demand, software and data themes, and the interest rate backdrop. When growth stocks are in favor, this can dramatically boost returns; when markets rotate toward more defensive or value‑oriented areas, relative performance can lag hard. The strong tech tilt is not a problem by itself, but it is a conscious bet rather than a neutral, benchmark‑like spread across the economy.

Regions Info

  • North America
    81%
  • Europe Developed
    15%
  • Asia Developed
    2%
  • Australasia
    1%
  • Asia Emerging
    1%

Geographically, about 81% of exposure is in North America, with most of the rest in developed Europe and small slices in other regions. This is a solid alignment with many global benchmarks, which are also U.S.-heavy due to the size of American markets. It’s a positive sign for familiarity, regulation, and liquidity. The tradeoff is less exposure to some faster‑growing or differently‑cyclical regions that might behave differently in global shocks. Overall, this regional split is quite mainstream and easy to understand; it keeps most risk in established markets, which can make the otherwise aggressive security selection feel a bit more anchored.

Market capitalization Info

  • Mega-cap
    54%
  • Large-cap
    36%
  • Mid-cap
    7%
  • Small-cap
    2%

Market cap exposure is dominated by mega and large companies: roughly 90% is in big names, with only small slivers in medium and small caps. This big‑cap skew often improves liquidity and typically ties the portfolio more closely to broad market narratives than to very idiosyncratic micro‑caps. At the same time, because the chosen large caps are high-growth, high‑expectation stories, risk is still elevated despite size. The modest mid/small allocation adds some extra punch and volatility, but it’s not the main driver. Overall, this size mix is fairly typical for aggressive growth portfolios that want scalability and strong trading depth.

True holdings Info

  • NVIDIA Corporation
    17.00%
    Part of fund(s):
    • Invesco S&P 500® Momentum ETF
    • VanEck Semiconductor ETF
    Direct holding 12.63%
  • Ast Spacemobile Inc
    10.53%
  • ASML Holding NV ADR
    9.03%
    Part of fund(s):
    • VanEck Semiconductor ETF
    Direct holding 8.42%
  • Palantir Technologies Inc.
    8.46%
    Part of fund(s):
    • Invesco S&P 500® Momentum ETF
    Direct holding 7.37%
  • Amazon.com Inc
    8.42%
  • Elbit Systems Ltd
    5.26%
  • Broadcom Inc
    3.20%
    Part of fund(s):
    • Invesco S&P 500® Momentum ETF
    • VanEck Semiconductor ETF
  • Meta Platforms Inc.
    1.95%
    Part of fund(s):
    • Invesco S&P 500® Momentum ETF
  • Cameco Corp
    1.46%
    Part of fund(s):
    • Global X Uranium ETF
  • JPMorgan Chase & Co
    1.34%
    Part of fund(s):
    • Invesco S&P 500® Momentum ETF
  • Top 10 total 66.64%

Looking through the ETFs reveals heavy hidden concentration in a handful of names. NVIDIA reaches about 17% total exposure once you combine the direct stock and ETF slices; ASML and Palantir show similar stacking effects, each well above their direct weights. Look-through analysis matters because the same company can quietly appear multiple times via different funds, increasing risk to that single story. Here, overlap magnifies exposure to a few high-growth, high-expectation businesses. The practical takeaway is that any company-specific shock in these names could ripple through multiple holdings at once, so conviction should match this elevated concentration.

Factors Info

Value
Preference for undervalued stocks
Low
Data availability: 53%
Size
Exposure to smaller companies
Very low
Data availability: 53%
Momentum
Exposure to recently outperforming stocks
Neutral
Data availability: 100%
Quality
Preference for financially healthy companies
High
Data availability: 53%
Yield
Preference for dividend-paying stocks
Low
Data availability: 26%
Low Volatility
Preference for stable, lower-risk stocks
Low
Data availability: 95%

Factor exposure shows strong tilts toward quality, momentum, and to a lesser degree yield, with lower emphasis on value and size. Factors are like the underlying “ingredients” that explain why stocks behave the way they do over time. High momentum means owning names that have recently done well; that can shine in trend‑following markets but can snap hard when trends reverse. Quality exposure suggests companies with stronger balance sheets or profitability, which can help cushion setbacks. Yield is only modest, so this is still return‑through‑price‑growth, not income‑oriented. Compared to a neutral market, this mix should feel more explosive on the upside and more sensitive to sentiment shifts.

Risk contribution Info

  • Ast Spacemobile Inc
    Weight: 10.53%
    24.4%
  • NVIDIA Corporation
    Weight: 12.63%
    17.0%
  • Invesco S&P 500® Momentum ETF
    Weight: 26.31%
    13.6%
  • Palantir Technologies Inc.
    Weight: 7.37%
    10.8%
  • VanEck Semiconductor ETF
    Weight: 10.53%
    10.5%
  • Top 5 risk contribution 76.2%

Risk contribution numbers show how much each holding drives the portfolio’s total volatility, which can differ a lot from its simple weight. Ast Spacemobile is about 10.5% of the portfolio but contributes almost a quarter of the total risk, making it the loudest “instrument in the orchestra.” NVIDIA and Palantir together add another meaningful chunk, so the top three holdings account for roughly 55% of all risk. This is a classic concentrated, high‑beta setup. If that concentration is intentional, it’s fine; if not, trimming or rebalancing could align risk contributions more closely with conviction levels and reduce the chance that one story dominates overall outcomes.

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.

On the risk–return chart, the current allocation sits on the efficient frontier, meaning that for its specific mix of holdings the weights are already used fairly efficiently. The Sharpe ratio (return per unit of volatility) is strong, but the “optimal” portfolio on the same frontier has a higher Sharpe with slightly less risk, suggesting different weights of the same ingredients could, in theory, deliver a smoother tradeoff. The minimum variance version cuts risk notably with lower expected return. Since you’re already on the frontier, the main question isn’t efficiency but comfort: are you happy with this level of volatility, or would a shift toward the higher‑Sharpe or lower‑risk point better fit your personal risk comfort?

Dividends Info

  • ASML Holding NV ADR 0.60%
  • Elbit Systems Ltd 0.30%
  • VanEck Gold Miners ETF 0.80%
  • VanEck Semiconductor ETF 0.30%
  • Invesco S&P 500® Momentum ETF 0.80%
  • Global X Uranium ETF 4.30%
  • Weighted yield (per year) 0.61%

The overall dividend yield of about 0.61% is very low, which is totally consistent with a growth‑focused, tech‑heavy portfolio. Dividends are cash payments some companies make to shareholders; here they barely move the needle on total return. Most of the historical gains have come from price appreciation rather than income. That can be perfectly fine for long‑term wealth building, but it does mean this setup is poorly suited for someone needing regular cash flow. If income becomes a goal later, shifting a portion toward higher‑yielding assets could complement this growth engine without necessarily sacrificing long‑term potential.

Ongoing product costs Info

  • VanEck Gold Miners ETF 0.51%
  • VanEck Semiconductor ETF 0.35%
  • Invesco S&P 500® Momentum ETF 0.13%
  • Global X Uranium ETF 0.69%
  • Weighted costs total (per year) 0.14%

Total portfolio costs look impressively low, with a blended TER around 0.14% driven by cost‑efficient ETFs. Fees act like a small headwind every year, so keeping them low helps more of the gross return compound in your favor. Given how active and theme‑driven this mix is, it’s a real plus that the implementation uses relatively cheap funds rather than expensive vehicles. This alignment with cost best practices is a big strength: even if future returns normalize, the low fee drag supports better long‑term outcomes compared with many similarly aggressive, high‑turnover strategies that charge far more for a similar exposure mix.

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