Highly concentrated aggressive portfolio focused on large US growth stocks with strong historic returns

Report created on Aug 16, 2024

Risk profile Info

6/7
Aggressive
Less risk More risk

Diversification profile Info

2/5
Low Diversity
Less diversification More diversification

Positions

This portfolio is heavily concentrated in a few big names, with Apple and Tesla alone making up over 60% of the total. Almost everything is in individual US stocks, with only a small slice in a broad ETF. This kind of structure creates a “few horses pulling the whole wagon” effect, where portfolio behavior is driven by just a handful of positions. That can feel great when those names are winning but painful if one stumbles. To smooth the ride without changing the overall growth focus, shifting some of the largest single-stock weights toward broad, diversified funds could reduce the impact of any one company on total results.

Growth Info

Historically, the returns here have been spectacular, with an annual growth rate near 40% turning a hypothetical $10,000 into well over $100,000 over a decade-like period. That clearly beats what a broad market benchmark would typically deliver and shows strong stock selection in a favorable environment. However, the max drawdown of around -61% means the portfolio has already experienced “cut in half” moments, which is emotionally and financially demanding. Since past performance is not a promise of future outcomes, using this history mainly as a warning about volatility rather than an expectation of repeatable returns is more realistic.

Projection Info

The Monte Carlo analysis, which uses past returns and volatility to run 1,000 random “what if” futures, shows a very wide range of potential outcomes. The median result is huge growth, but the 5th percentile still suggests only a modest gain, meaning some simulated paths barely move the needle after a long stretch. Monte Carlo is basically stress-testing probabilities, not predicting a single future. Since it’s built on historical data, it may overstate returns if future conditions are less favorable. Using these results as a reminder of both upside and downside potential, rather than as a promise, helps keep expectations grounded while still embracing a growth mindset.

Asset classes Info

  • Stocks
    100%

Every investable dollar here is in stocks, with no allocation to cash, bonds, or other asset types. That pure-equity approach fits an aggressive style and gives maximum exposure to market growth, which has historically rewarded long-term investors. The trade-off is that there’s no built-in stabilizer when markets fall; stocks can move together in sharp downturns, leaving the portfolio fully exposed. Many broadly diversified benchmarks mix in some lower-volatility assets to smooth returns. Without changing the growth orientation, even a small slice into more defensive or lower-volatility assets could reduce the size and frequency of deep drawdowns while preserving the overall long-term objective.

Sectors Info

  • Technology
    46%
  • Consumer Discretionary
    26%
  • Industrials
    9%
  • Financials
    7%
  • Consumer Staples
    6%
  • Utilities
    3%
  • Telecommunications
    1%
  • Health Care
    1%

Sector exposure is heavily tilted toward technology and consumer cyclicals, together making up over 70% of the portfolio. This kind of tilt often shines when innovation and consumer spending are strong, but it can be hit hard when interest rates rise or the economy slows. By contrast, broad benchmarks tend to be more evenly spread across areas like healthcare, defensive consumer businesses, and other steadier sectors. The existing allocation is clearly geared toward offense rather than defense. Gradually bringing in more balanced exposure through diversified funds can keep the growth flavor while avoiding being overly dependent on the fortunes of just a couple of fast-moving sectors.

Regions Info

  • North America
    100%

All holdings are tied to North America, effectively making this a 100% US-focused portfolio. This is common for many investors and has worked well in recent years, as US large caps have outperformed many other regions. The alignment with a strong home market is a positive, but it also means returns are heavily linked to one economy, one currency, and one policy environment. Global benchmarks usually sprinkle in significant non-US exposure to capture different growth cycles and reduce single-country risk. Adding even a modest allocation to international broad-market funds can provide a useful hedge if US markets experience a weaker decade.

Market capitalization Info

  • Mega-cap
    83%
  • Large-cap
    15%
  • Mid-cap
    2%

The portfolio skews overwhelmingly toward mega-cap companies, with over 80% in the biggest names and only a sliver in mid-sized firms. Mega caps often bring strong business quality, deep liquidity, and better resilience in crises, which is a genuine strength here. However, being almost entirely in giants can miss some of the growth potential often found in smaller or mid-sized companies. Many diversified benchmarks spread more meaningfully across the full size spectrum. To round out the risk-return profile, layering in a broad fund that naturally includes mid and smaller companies could add a different engine of growth without the need to pick individual small-cap stocks.

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.

From a risk versus return angle, this setup sits far toward the “high return high volatility” corner of the Efficient Frontier. The Efficient Frontier is a concept that shows the best possible trade-off between risk (ups and downs) and return using a given set of assets. Because so much weight is in a couple of volatile stocks, the portfolio is likely below its own best possible efficiency line; in other words, it takes more risk than needed for the level of expected return. By redistributing some weight from the largest single names into broader, diversified holdings already present, it’s possible to move closer to that efficient sweet spot without changing the overall aggressive style.

Dividends Info

  • Apple Inc 0.40%
  • Bank of America Corp 1.40%
  • Nextera Energy Inc 2.80%
  • Vanguard S&P 500 ETF 1.10%
  • Waste Management Inc 1.10%
  • Walmart Inc 0.60%
  • Weighted yield (per year) 0.53%

The overall dividend yield is very low, around 0.5%, because the core holdings prioritize growth and reinvestment over income. This lines up with an aggressive profile and a focus on capital appreciation, not cash flow. Some positions do contribute moderate dividends, but they barely move the needle at portfolio level. Dividend income matters more for investors who want regular payouts to spend or reinvest. For a growth-first mindset, this low yield isn’t a problem, but it does mean most of the return will come from price movement. If future income becomes important, gradually adding higher-yielding, broad-based holdings can boost cash flow without overhauling the entire strategy.

Ongoing product costs Info

  • Vanguard S&P 500 ETF 0.03%

Costs in this portfolio are impressively low, with the only fund charging a tiny ongoing fee of about 0.03%. That’s far below many alternatives and very friendly for long-term compounding because every dollar not spent on fees can keep working for growth. The stock positions do not carry explicit annual fund expenses, which also helps keep the ongoing cost base lean. Transaction costs and taxes still matter, especially if trading frequently, but the structural expense picture here is a strong positive. Maintaining this low-cost mindset while any new positions are added can support better long-term performance without needing to chase riskier strategies.

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