Highly concentrated aggressive growth portfolio focused on quality momentum and mega cap innovators

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.

What type of investor this portfolio is suitable for

Aggressive Investors

An investor well‑matched to this style is comfortable with big swings and sees volatility as a feature, not a bug. They tend to have a long time horizon, often 10 years or more, and are focused on compounding wealth through high‑growth companies rather than collecting steady income. Frequent news‑driven drops or 50–60% drawdowns don’t push them to panic; instead, they’re mentally prepared for those episodes as part of the journey. They usually enjoy following individual businesses, are okay with concentrated bets, and accept that outcomes will likely be more extreme—both good and bad—than a standard diversified index approach. Liquidity needs in the near term are typically low for this kind of profile.

Positions

  • Meta Platforms Inc.
    META - US30303M1027
    25.75%
  • Advanced Micro Devices Inc
    AMD - US0079031078
    23.76%
  • Alphabet Inc Class A
    GOOGL - US02079K3059
    19.33%
  • MercadoLibre Inc.
    MELI - US58733R1023
    14.25%
  • Rocket Lab USA Inc.
    RKLB - US7731211089
    11.00%
  • Robinhood Markets Inc
    HOOD - US7707001027
    5.91%

This portfolio is extremely concentrated: six individual stocks, with the top three above 68% of total weight and 100% in equities. That structure lines up with an aggressive profile because every dollar is tied to company-specific outcomes rather than a basket of funds. Concentration like this can supercharge gains when the chosen names do well, but it also makes the ride much bumpier and more emotionally challenging. For someone using this kind of structure, it helps to be very intentional: either lean fully into the “high conviction stock picker” mindset or consider adding a broader base so that one or two bad earnings seasons don’t dominate total wealth.

Growth Info

Historically, the portfolio has been a rocket: turning $1,000 into about $2,306 since mid‑2021, a 25.06% compound annual growth rate (CAGR). CAGR is like your average speed on a long road trip, smoothing the ups and downs. That easily beats both the US market (10.25% CAGR) and global market (8.22%). But the cost of that outperformance is clear: a brutal max drawdown of about ‑60%, versus roughly ‑25% for the benchmarks. Drawdown is the worst peak‑to‑trough drop, and it shows how much pain you must stomach to earn those gains. Historically strong returns here came with very real gut‑check moments.

Projection Info

The Monte Carlo simulation tries to answer “what could the next 10 years look like?” It takes the historical return and volatility profile and runs 1,000 random paths, a bit like simulating many alternate timelines. Median results are huge (about +917% over 10 years), and even the 67th percentile is eye‑popping, which matches the aggressive nature of the holdings. But the 5th percentile shows a deep loss of around ‑65%, reminding us that bad sequences of returns can leave long‑lasting scars. Simulations are only as good as the past data they use; markets evolve, and past volatility spikes or booms may not repeat in the same way. Treat these ranges as rough weather forecasts, not promises.

Asset classes Info

  • Stocks
    100%

All capital is parked in one asset class: stocks. That pure‑equity approach is perfectly aligned with an aggressive risk score and a long horizon, but it leaves no cushion from bonds or cash when markets fall. Asset classes like bonds, real assets, or even plain cash can act like shock absorbers during stock market stress, reducing overall swings. On the positive side, 100% equities maximizes exposure to long‑term growth, which historically has rewarded patient investors. The key trade‑off is emotional and timing‑related: if there’s a need for withdrawals during a downturn, the lack of defensive assets can force selling at unattractive prices, locking in what might otherwise be temporary paper losses.

Sectors Info

  • Telecommunications
    45%
  • Technology
    24%
  • Consumer Discretionary
    14%
  • Industrials
    11%
  • Financials
    6%

Sector exposure is heavily tilted toward communication services and technology, with smaller slices in consumer‑oriented businesses, industrials, and financial services. That gives the portfolio a strong growth and innovation flavor, tied to digital platforms, cutting‑edge tech, and consumer behavior changes. Compared with broad benchmarks, this is much more focused and less balanced across the economic cycle. These types of sectors can shine when interest rates are stable or falling and when innovation stories are rewarded. However, they tend to be more sensitive when rates rise, regulators get tougher, or investors rotate toward more defensive, cash‑flow‑heavy businesses. This concentration is powerful if the growth narrative holds but can be punishing in regime shifts.

Regions Info

  • North America
    86%
  • No data
    14%

Geographically, exposure is dominated by North America, with a small slice categorized as “unknown” that likely reflects listings or data gaps rather than true geographic diversification. That home‑region leaning is common for US‑based investors and has worked out well in the last decade as US markets outperformed many peers. The flip side is that it ties fortunes closely to one region’s economy, policy decisions, and currency. Global shocks that particularly hit the US or its leading tech ecosystem would ripple quickly through this portfolio. A more globally spread mix can sometimes smooth regional downturns, but staying US‑centric keeps things simple and focused on markets and regulations that are familiar.

Market capitalization Info

  • Mega-cap
    69%
  • Large-cap
    31%

Market‑cap exposure skews decisively toward mega‑cap and big‑cap names, with about two‑thirds in mega caps and the remainder in large companies. Mega caps often have strong competitive positions, high cash generation, and more diversified business lines, which can provide a stabilizing effect compared with smaller, more speculative stocks. That said, this portfolio also includes a few names that behave more like high‑beta growth plays, so the mega‑cap tilt doesn’t fully tame volatility. Relative to a broad market index, there’s very little in mid or small caps, so there’s less exposure to the potential “small company” growth premium but more reliance on a handful of giants continuing to execute and hold their dominant positions.

Factors Info

Value
Preference for undervalued stocks
Slight tilt
Data availability: 100%
Size
Exposure to smaller companies
Neutral
Data availability: 100%
Momentum
Exposure to recently outperforming stocks
Moderate tilt
Data availability: 100%
Quality
Preference for financially healthy companies
Strong tilt
Data availability: 100%
Yield
Preference for dividend-paying stocks
Slight tilt
Data availability: 45%
Low Volatility
Preference for stable, lower-risk stocks
Slight tilt
Data availability: 100%

The factor profile is striking: very strong tilts toward quality and momentum, with meaningful yield and modest size and value exposure. Factors are like the underlying “personality traits” of a portfolio that research has tied to long‑term returns. A high momentum tilt means holdings have recently done well and tend to keep trending, which boosts returns in steady bull markets but can lead to sharp drops when trends reverse. Strong quality exposure suggests companies with solid balance sheets, profitability, and stable earnings, which can cushion some drawdowns versus lower‑quality peers. Lower low‑volatility exposure reflects the aggressive nature: this is designed to move, not hug the index. Overall, it’s a growth‑and‑quality‑driven factor mix, not a defensive one.

Risk contribution Info

  • Advanced Micro Devices Inc
    Weight: 23.76%
    28.7%
  • Meta Platforms Inc.
    Weight: 25.75%
    24.1%
  • Rocket Lab USA Inc.
    Weight: 11.00%
    14.5%
  • MercadoLibre Inc.
    Weight: 14.25%
    13.7%
  • Alphabet Inc Class A
    Weight: 19.33%
    11.9%
  • Top 5 risk contribution 92.7%

Risk contribution shows how much each stock adds to the portfolio’s total ups and downs, which can be very different from its weight. Here, the top three holdings drive over 67% of total risk. One standout is Advanced Micro Devices: it’s about 24% of the portfolio but contributes nearly 29% of risk, with a risk‑to‑weight ratio above 1. That means each dollar in that stock shakes the portfolio more than average. Rocket Lab is similar, with an even higher risk‑to‑weight ratio. In contrast, Alphabet has a relatively lower risk‑to‑weight ratio, acting as a somewhat more stable anchor. Adjusting position sizes is the cleanest lever to bring risk contributions closer to desired comfort levels.

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.

On the risk‑return chart, the current portfolio sits on the efficient frontier, meaning that for its specific mix of holdings, the weights aren’t wastefully inefficient. The Sharpe ratio of 0.74 shows a decent tradeoff between return and volatility, though the model suggests an even higher Sharpe ratio is possible with a different mix of the same stocks. The optimal portfolio point has higher expected return and only moderately higher risk, while the minimum variance version lowers risk but also expected return. Importantly, being on the frontier means the structure is already efficient for the chosen names; any further improvement would come from reweighting these holdings or expanding the opportunity set, not from fixing obvious inefficiencies.

Dividends Info

  • Alphabet Inc Class A 0.30%
  • Meta Platforms Inc. 0.30%
  • Weighted yield (per year) 0.14%

Income is clearly not the focus here. The total yield is tiny at around 0.14%, with small contributions from a couple of holdings. Dividend yield is the cash you receive each year from dividends relative to the price you paid, and in this case it barely moves the needle on total return. That’s fully consistent with a growth‑oriented, aggressive equity approach where the expectation is that value will show up mainly through price appreciation rather than regular cash payments. For investors who don’t need current income and are comfortable funding their lifestyle from other sources, this low‑yield setup keeps the emphasis on companies reinvesting for future growth instead of paying out profits today.

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