This portfolio has only about 3 months of historical data, based on the youngest asset in the portfolio. Some metrics, projections, and AI insights may be less reliable and should be interpreted with caution.
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Conservative portfolio mixing long term Treasuries with a small growth tilt and limited history

Report created on Jul 10, 2026

Risk profile Info

2/7
Conservative
Less risk More risk

Diversification profile Info

1/5
Single-Focused
Less diversification More diversification

This portfolio is very simple, with about 90% in a single long-dated Treasury ETF and roughly 10% in a Nasdaq-focused equity ETF. Structurally it leans heavily toward one main holding, which keeps things straightforward but also concentrates behavior in that bond fund. With only two ETFs and a buy-and-hold assumption, changes in value over time mostly reflect interest rate moves for the Treasuries plus a small influence from the growth-tilted equity slice. Because the history available is only around three months, any impressions about how this mix behaves over full market cycles are tentative and should be treated as early snapshots rather than firm long-term patterns.

Growth Info

Over the brief period from late March to early July, a hypothetical $1,000 in this portfolio grew to about $1,029, implying a 10.52% annualized return, or CAGR, which is a way of turning short-term changes into a “per year” speed. The maximum drawdown, meaning largest peak-to-trough drop, was a relatively modest -3.09% and recovered quickly. Versus the US and global market benchmarks, the portfolio underperformed sharply on a CAGR basis, but those benchmark CAGRs are inflated by the very short and specific window. With only three months of data, none of these return or relative-performance numbers should be viewed as a stable long-term pattern.

Projection Info

The forward projection uses a Monte Carlo simulation, which essentially replays many possible future paths using the limited historical data as a rough guide. Here, 1,000 scenarios estimate where $1,000 might land after 15 years, with a median outcome around $1,947 and a wide possible range between roughly $1,262 and $2,969. The average simulated annual return is 4.60%, and the model suggests just over half the paths end positive. Because the input history is only about three months, the simulation is extrapolating a lot from a tiny sample. That makes these ranges more like rough weather forecasts than precise long-term expectations.

Asset classes Info

  • No data
    100%

Asset class data is tagged as “No data” for 100% of the portfolio, so the system cannot formally separate holdings into categories like stocks, bonds, or cash. That means it’s not possible here to quantify how much is in defensive assets versus growth assets, even though the ETF names suggest a mix of government debt and equities. In practice, asset class breakdowns help investors see how different economic environments might affect their holdings. Without those labels, the report can’t give a numerical diversification score across asset types, and any conclusions about the balance between safety and growth would be guesswork rather than data-driven.

True holdings Info

  • BlackRock Cash Funds Treasury SL Agency
    0.26%
    Part of fund(s):
    • iShares iBonds Dec 2046 Term Treasury ETF
  • Top 10 total 0.26%

Look-through coverage of underlying holdings is extremely limited: only about 0.3% of the portfolio is mapped through ETF top‑10 positions, and effectively none of the main ETFs’ core holdings are visible. The only identified underlying exposure is a small cash-related holding at around 0.26% of the portfolio through the bond ETF. With so little visibility, the report cannot meaningfully assess overlap, hidden concentration, or specific company-level bets. In practice, look-through analysis can reveal when different funds own the same names, amplifying exposure. Here, the absence of that detail mainly highlights that the structural picture is dominated by the overall ETF mix rather than specific underlying securities.

Factors Info

Value
Preference for undervalued stocks
No data
Data availability: 0%
Size
Exposure to smaller companies
Very low
Data availability: 10%
Momentum
Exposure to recently outperforming stocks
No data
Data availability: 0%
Quality
Preference for financially healthy companies
No data
Data availability: 0%
Yield
Preference for dividend-paying stocks
No data
Data availability: 0%
Low Volatility
Preference for stable, lower-risk stocks
No data
Data availability: 0%

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 data is mostly unavailable, except for “size,” where the portfolio shows a 20% exposure, classified as “very low.” Factor exposure is a way of measuring how much a portfolio leans into characteristics like value, momentum, or company size that research links to long-term returns. A very low size score indicates a strong tilt away from smaller companies and toward larger ones, which often means more stability but sometimes less explosive growth in strong markets. Because the other factors show “No data,” the report cannot reliably comment on value, momentum, quality, low volatility, or yield tilts. Given the very short history, even this size signal should be treated as a rough indication, not a fixed trait.

Risk contribution Info

  • iShares iBonds Dec 2046 Term Treasury ETF
    Weight: 90.00%
    86.7%
  • PowerShares Global Funds Ireland Public Limited Company - PowerShares EQQQ Nasdaq-100 UCITS ETF
    Weight: 10.00%
    13.3%

Risk contribution measures how much each holding drives the portfolio’s overall ups and downs, which can differ from simple weight. Here, the Treasury ETF at 90% weight contributes about 86.72% of total risk, while the 10% Nasdaq ETF contributes 13.28% of risk. The risk/weight ratio shows the equity ETF is proportionally punchier: its 10% slice adds more volatility than its size alone suggests. This pattern is common when combining a steadier core with a smaller growth component. Still, because the observation window is just around three months, these risk shares mainly describe how the two funds behaved in this recent period rather than a proven long-term dynamic.

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.

The efficient frontier chart compares this portfolio’s risk and return to the best combinations possible using the same two holdings. The current mix sits on or very near the frontier, which means, given the data, it’s already an efficient blend for its risk level. The Sharpe ratio, a simple measure of risk-adjusted return, is 0.66 for the current portfolio, slightly above the minimum-variance mix at 0.54 but below the modeled maximum-Sharpe option. The “optimal” point shows very high return and risk, which looks extreme and is heavily shaped by the tiny three‑month sample. So while the chart suggests efficiency, any precise Sharpe comparisons should be viewed as provisional.

Dividends Info

  • iShares iBonds Dec 2046 Term Treasury ETF 1.20%
  • Weighted yield (per year) 1.08%

The main Treasury ETF currently shows a dividend yield of about 1.20%, contributing to an overall portfolio yield of roughly 1.08%. Dividend yield is the annual cash payout as a percentage of the fund’s price, and for bond-focused funds it reflects interest income from the underlying securities. In a structure like this, the bulk of ongoing cash flow is likely tied to the bond ETF, while the growth-oriented equity slice tends to rely more on price movement than payouts. As with other metrics here, the yield snapshot comes from a short period, so it may shift as interest rates and distributions change over time.

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