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.
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.
Growth Investors
This portfolio suits someone with high risk tolerance, a growth-first mindset, and a long investment horizon, likely 10 years or more. They accept big price swings and deep drawdowns in exchange for the chance at outsized returns. Income or capital preservation is not their priority; they are comfortable relying on capital gains rather than dividends. They are also okay with company-specific risk, meaning they believe strongly in a small number of dominant businesses and don’t feel the need for broad diversification. This kind of investor can stay calm through sharp selloffs and is willing to hold through volatility to pursue substantial long-term wealth accumulation.
This portfolio is extremely concentrated: two individual stocks at 50% each, both in the same broad style and size bucket. Compared with a typical broad-market benchmark that holds hundreds of positions across many areas, this setup has very low diversification. That matters because with only two holdings, portfolio outcomes are heavily tied to the fortunes of just those businesses. If one stumbles, there is nowhere to hide. For someone keeping this structure, one possible path is to decide whether such concentration is intentional and then set clear rules, like maximum position sizes or a plan for adding a few more uncorrelated holdings over time.
Historically, the portfolio has been a rocket: a 27.18% CAGR, or compound annual growth rate, means an initial $10,000 hypothetically grew as if it earned 27.18% every year on average. That massively beats what a broad market typically delivers. But there’s a trade-off: a max drawdown of -34.17% shows the portfolio at one point dropped roughly a third from a peak, which is painful in real life. Only 46 days accounted for 90% of returns, underscoring how a few huge days drive long-run results. Staying invested during rough patches becomes crucial for capturing those rare big upswings.
The Monte Carlo analysis uses past data and volatility to simulate many possible futures, like rolling loaded dice 1,000 times to see a range of outcomes. Here, the median simulation ends with about 2,878% total growth, and even the 5th percentile shows significant gains. The average simulated annual return of 31.32% looks fantastic, but it’s built off a historically strong period for these specific stocks. Monte Carlo can’t predict new regulations, disruptive competition, or regime shifts. It just scrambles past patterns. It’s useful for framing “what if” scenarios, but not a guarantee; treating those numbers as optimistic guideposts rather than promises can keep expectations realistic.
All capital sits in one asset class: individual stocks, and specifically two mega cap names. Compared with a benchmark that might include bonds, cash, and different styles of equity, this is a pure equity, high-beta style allocation. That’s totally aligned with a growth profile, but it leaves no built-in stabilizer like safer income assets. When markets fall, there is nothing here that typically cushions the drop. For someone comfortable with a growth focus, one path to smoother rides would be gradually introducing a few other asset types or at least additional stocks with different behavior patterns, so not everything rises and falls together.
Sector-wise, the portfolio is split between technology and communication services, but in practice both holdings behave like high-growth, innovation-driven companies. A typical broad index spreads across many sectors such as financials, healthcare, industrials, and more, which can offset each other. Concentration in these two growth-heavy areas can supercharge returns when innovation is rewarded and interest rates are favorable. However, when markets rotate toward value, defensive, or income-oriented names, this setup can lag hard. One helpful step could be to decide how much of a “bet” you want on innovation-driven businesses versus a more balanced mix, then slowly adjust weights to reflect that comfort level.
Geographically, everything is in North America, which is common for a US-based growth approach and actually matches many popular benchmarks that tilt heavily to US markets. This alignment is a positive: the US has deep, liquid markets and many world-leading companies. The flip side is missing growth or diversification from other regions, which might perform differently across economic cycles or currency moves. If the goal is pure US mega-cap exposure, this is already on target. If the goal is resilience to US-specific risks, introducing even small slices of non-US exposure over time can reduce dependence on a single economy and policy environment.
All holdings are mega cap stocks, meaning very large, established companies with huge market values. Mega caps tend to be more stable than tiny speculative names, and they often dominate broad market benchmarks, so in that sense the size exposure is well-aligned with common indices. That’s a positive element of the structure. Still, by only owning two mega caps, the portfolio misses potential growth from mid and smaller companies that can sometimes outpace giants over long stretches. A useful framing could be to decide how much of your long-term plan you want tied to mega caps alone, and whether introducing a basket of additional names might better balance growth potential and stability.
Dividend yield here is very low, around 0.35% total, which is typical for growth-focused mega caps that reinvest profits for expansion instead of paying them out. Dividends are cash payments to shareholders and can be important for people seeking regular income. In this case, almost all expected return is from price appreciation rather than payouts. That’s totally consistent with a growth profile but means cash-flow needs must be met elsewhere, not from these holdings. Anyone comfortable with this setup can treat dividends as a bonus, not a core feature. Investors wanting more predictable income might complement this with other holdings that have stronger and more stable dividend streams.
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.
From a risk–return optimization angle, this setup sits on a narrow point of the Efficient Frontier built from just two assets. The Efficient Frontier is a curve showing the best possible risk-return combos using given ingredients, like finding the tastiest recipe with only what’s in the pantry. With only Apple and Alphabet, “efficiency” means choosing the mix between the two that offers either the highest return for the same risk, or lower risk for a similar return, based solely on historical stats. It doesn’t add diversification beyond these names. If broader efficiency is the goal, adding a few more uncorrelated holdings would give the optimization process more room to find better trade-offs.
Select a broker that fits your needs and watch for low fees to maximize your returns.
The information provided on this platform is for informational purposes only and should not be considered as financial or investment advice. Insightfolio does not provide investment advice, personalized recommendations, or guidance regarding the purchase, holding, or sale of financial assets. The tools and content are intended for educational purposes only and are not tailored to individual circumstances, financial needs, or objectives.
Insightfolio assumes no liability for the accuracy, completeness, or reliability of the information presented. Users are solely responsible for verifying the information and making independent decisions based on their own research and careful consideration. Use of the platform should not replace consultation with qualified financial professionals.
Investments involve risks. Users should be aware that the value of investments may fluctuate and that past performance is not an indicator of future results. Investment decisions should be based on personal financial goals, risk tolerance, and independent evaluation of relevant information.
Insightfolio does not endorse or guarantee the suitability of any particular financial product, security, or strategy. Any projections, forecasts, or hypothetical scenarios presented on the platform are for illustrative purposes only and are not guarantees of future outcomes.
By accessing the services, information, or content offered by Insightfolio, users acknowledge and agree to these terms of the disclaimer. If you do not agree to these terms, please do not use our platform.