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.
This portfolio is split right down the middle between one crypto asset and a small basket of individual stocks. Ethereum alone takes up 50% of the total weight, with Robinhood at 25% and the remaining four stocks together at 25%. So, while the system tags this as “highly diversified,” in practice most of the portfolio’s behavior is driven by just two holdings. That matters because concentration in a few positions can make returns more extreme, both on the upside and downside. The structure points to a portfolio that is more about a few high-conviction bets than broad, steady exposure across many different names.
Over the period from mid‑2021 to April 2026, $1,000 in this portfolio grew to about $1,247, giving a compound annual growth rate (CAGR) of 4.81%. CAGR is the “average speed” of growth per year, smoothing out all the bumps. In comparison, the US market and global market both grew over twice as fast annually. The portfolio also experienced a very deep max drawdown of almost ‑77%, far steeper than the benchmarks’ roughly ‑25% declines. It then took over three years to fully recover. This pattern shows that the portfolio has delivered lower returns while putting up with much larger swings than broad markets.
The forward projection uses a Monte Carlo simulation, which is basically a thousand “what if” futures built by shuffling and reusing past return patterns. It suggests a median outcome where $1,000 becomes about $2,372 after 15 years, but with a huge spread: from around $312 at the low end (p5) to nearly $17,000 at the high end (p95). That wide range reflects the portfolio’s very high volatility. Importantly, simulations lean heavily on historical data and assumptions about how returns behave, which may not hold. So these numbers illustrate possible paths, not a forecast or promise of where the portfolio will actually end up.
Asset‑class wise, the portfolio is split 50% in stocks and 50% in crypto. Compared with typical equity‑only portfolios or global stock indices, this is an unusually large allocation to a single crypto asset. Crypto tends to have much higher volatility and its own boom‑bust cycles, which can dominate the portfolio’s year‑to‑year results. At the same time, there’s no exposure to more traditionally stabilizing asset classes like bonds or cash. So diversification here is “horizontal” across a few growthy stocks and one crypto, but not “vertical” across different risk profiles that might smooth the ride over time.
This breakdown covers the equity portion of your portfolio only.
Sector exposure is spread across financials, technology, consumer staples, industrials, and telecommunications, but only within a very small set of names. Financials, driven by Robinhood, form the biggest listed sector slice at 25%. The rest are single‑stock exposures in each sector rather than broad baskets. While the sector labels look reasonably varied, each sector bet is effectively tied to the fate of one company. That’s different from owning diversified sector funds where many firms share the load. In practice, this means company‑specific news, earnings surprises, and regulatory changes can move these sector exposures sharply, both positively and negatively.
This breakdown covers the equity portion of your portfolio only.
Geographically, about 40% of the equity portion is in North America and 10% in developed Asia, with Ethereum sitting outside these regional buckets as a global crypto asset. Compared with world stock benchmarks, which typically have broad exposure across many countries, this portfolio is concentrated in just two regions on the equity side. That limits the benefit of having different economies and policy environments offset each other. At the same time, Ethereum introduces a different kind of geographic profile, driven more by global crypto markets than any single country. Overall, the region mix is quite narrow in number of countries, despite having more than one area represented.
This breakdown covers the equity portion of your portfolio only.
By market capitalization, there’s a tilt toward larger listed companies, with 38% in large‑cap, plus smaller slices in mid‑cap and micro‑cap stocks. Large‑caps are usually more established and often more liquid, while micro‑caps can be more thinly traded and jumpier in price. Here, though, the crypto allocation again sits outside this breakdown and is a major driver of total volatility. The presence of mid‑ and micro‑cap names adds an extra layer of potential volatility on top of the crypto component. So even though the equity side leans large‑cap, the overall portfolio still behaves like a high‑octane mix rather than a steady large‑cap basket.
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 shows very high yield and very low momentum as the standout tilts, with other factors closer to mild under‑ or over‑weights. Factors are like investment “ingredients” — characteristics such as value, quality, or momentum that research links to long‑term return patterns. A very high yield score means the holdings, as a group, score strongly on income‑related metrics, even if the headline story around them is growth or speculation. The very low momentum tilt indicates the portfolio leans away from stocks and assets that have been strong recent winners. In environments where recent winners keep winning, that kind of tilt can lag, while reversals or choppier markets may feel different.
Risk contribution puts numbers on how much each holding drives the portfolio’s ups and downs, which can differ from simple weights. Ethereum, at 50% weight, contributes almost 60% of total risk, meaning it dominates the volatility profile. Robinhood, with 25% weight, contributes a similar 25% of risk. The other four stocks together make up only about 15% of risk. With the top three holdings driving just over 90% of the portfolio’s total volatility, the overall risk picture is heavily concentrated. That’s typical when highly volatile assets meet sizable position sizes: a few big bets steer most of the journey.
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 risk‑return chart shows the current portfolio sitting noticeably below the efficient frontier. The efficient frontier is the curve of the best possible trade‑offs between risk (volatility) and expected return using only the existing holdings in different mixes. Here, the current Sharpe ratio — a measure of return per unit of risk — is 0.31, while the optimal mix of these same assets reaches 0.67. That gap suggests the current weights are not using the existing ingredients as efficiently as they could. In other words, given the same holdings and overall risk level, there are theoretical combinations that historically delivered higher returns for each unit of risk taken.
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