Asset Allocation
| Position | Category/Sector | Target Weight |
|---|---|---|
^NDX NASDAQ 100 Index | 28% | |
^GSPC S&P 500 Index | 24% | |
ISX5.L iShares Core EURO STOXX 50 UCITS ETF | Europe Equities | 16% |
GC=F Gold Futures | 9.30% | |
ACWI iShares MSCI ACWI ETF | Global Equities | 7.64% |
HSTE.L HSBC Hang Seng Tech UCITS ETF | Technology Equities | 5.56% |
BTC-USD Bitcoin | 3% | |
ETH-USD Ethereum | 2.50% | |
FEMKX Fidelity Emerging Markets | Emerging Markets Equities | 2% |
SOL-USD Solana | 1.50% | |
XRP-USD XRP | 0.50% |
Find the right asset allocation for benchmarks
Add portfolio to the optimizer to find optimal allocations for your target — whether that's maximizing returns, minimizing drawdowns, or balancing risk across holdings.
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Performance Chart
The chart shows the growth of an initial investment of $10,000 in benchmarks, comparing it to the performance of the S&P 500 index or another benchmark. All prices have been adjusted for splits and dividends. The portfolio is rebalanced Every 3 months.
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Returns By Period
| Position | 1D | 1M | YTD | 6M | 1Y | 3Y* | 5Y* | 10Y* |
|---|---|---|---|---|---|---|---|---|
Benchmark S&P 500 Index | 0.50% | -0.93% | 8.56% | 8.85% | 24.33% | 19.37% | 11.84% | 13.61% |
Portfolio benchmarks | 0.07% | -1.77% | 5.37% | 5.55% | 18.26% | 22.03% | — | — |
| Portfolio components: | ||||||||
^GSPC S&P 500 Index | 0.50% | -0.93% | 8.56% | 8.85% | 24.33% | 19.37% | 11.84% | 13.61% |
^NDX NASDAQ 100 Index | 0.64% | 0.19% | 17.37% | 17.62% | 37.01% | 25.76% | 16.18% | 20.95% |
ACWI iShares MSCI ACWI ETF | 0.41% | -0.11% | 10.59% | 11.34% | 26.86% | 19.78% | 10.88% | 13.02% |
BTC-USD Bitcoin | 1.71% | -20.43% | -26.27% | -28.52% | -39.20% | 36.94% | 9.74% | 57.23% |
ETH-USD Ethereum | 0.93% | -26.37% | -43.34% | -46.03% | -34.85% | 0.61% | -8.23% | 57.05% |
FEMKX Fidelity Emerging Markets | 5.11% | -0.90% | 21.74% | 24.81% | 47.25% | 20.93% | 6.21% | 11.98% |
GC=F Gold Futures | — | — | — | — | — | — | — | — |
HSTE.L HSBC Hang Seng Tech UCITS ETF | 1.56% | -7.38% | -15.63% | -15.96% | -10.18% | 5.51% | -9.96% | — |
ISX5.L iShares Core EURO STOXX 50 UCITS ETF | 2.46% | 3.59% | 7.24% | 8.56% | 19.84% | 18.31% | 10.63% | 13.05% |
SOL-USD Solana | 0.85% | -25.39% | -44.76% | -48.38% | -53.76% | 68.07% | 12.17% | — |
Monthly Returns
Based on dividend-adjusted daily data since Jan 31, 2022, benchmarks's average daily return is +0.04%, while the average monthly return is +1.26%. At this rate, an investment would double in approximately 4.6 years.
Historically, 63% of months were positive and 37% were negative. The best month was Jan 2023 with a return of +11.9%, while the worst month was Apr 2022 at -9.6%. The longest winning streak lasted 7 consecutive months, and the longest losing streak was 3 months.
On a daily basis, benchmarks closed higher 53% of trading days. The best single day was Apr 9, 2025 with a return of +7.0%, while the worst single day was Apr 4, 2025 at -4.9%.
| Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Total | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026 | 0.77% | -1.91% | -5.57% | 10.12% | 4.93% | -2.29% | 5.37% | ||||||
| 2025 | 4.21% | -1.89% | -4.47% | 1.20% | 6.96% | 4.12% | 2.84% | 2.39% | 4.05% | 1.37% | -2.07% | 0.15% | 19.90% |
| 2024 | -0.22% | 7.49% | 4.14% | -4.44% | 5.20% | 1.53% | 0.35% | 0.47% | 3.97% | -1.51% | 6.71% | -1.36% | 23.88% |
| 2023 | 11.87% | -2.17% | 6.24% | 0.82% | 0.44% | 5.87% | 4.01% | -3.70% | -4.02% | 0.30% | 10.15% | 7.20% | 41.93% |
| 2022 | 2.21% | -2.37% | 2.20% | -9.64% | -1.55% | -8.39% | 8.78% | -5.13% | -8.61% | 4.70% | 6.02% | -4.58% | -16.97% |
Benchmark Metrics
benchmarks has an annualized alpha of 1.94%, beta of 0.91, and R2 of 0.84 versus S&P 500 Index. Calculated based on daily prices since January 31, 2022.
- This portfolio participates in less of S&P 500 Index's moves in both directions, but captures a larger share of gains (97.24%) than losses (93.50%) - typical of diversified or defensive assets.
- With beta of 0.91 and R2 of 0.84, this portfolio moves broadly in line with S&P 500 Index - much of its variation is explained by market exposure rather than independent behavior.
- Alpha
- 1.94%
- Beta
- 0.91
- R²
- 0.84
- Upside Capture
- 97.24%
- Downside Capture
- 93.50%
Expense Ratio
benchmarks has an expense ratio of 0.07%, which is considered low. Below, you can find the expense ratios of the portfolio's funds side by side and easily compare their relative costs.
Return for Risk
Risk / Return Rank
benchmarks ranks 17 for risk / return — in the bottom 17% of Portfolios on our site. This means you're taking on significantly more risk than the returns justify. Consider whether the potential upside is worth the volatility, or explore alternatives with better risk / return profiles.
Return / Risk — by metrics
The table below presents risk-adjusted performance metrics for benchmarks and compares them with S&P 500 Index.
Values are calculated on a 1-year rolling basis and updated daily. Risk-adjusted metrics are more stable over longer periods — use the period switch above to explore them.
| Portfolio | Benchmark | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | 1.30 | 1.86 | -0.56 |
| Sortino ratioReturn per unit of downside risk | 1.82 | 2.53 | -0.71 |
| Omega ratioGain probability vs. loss probability | 1.22 | 1.34 | -0.12 |
| Calmar ratioReturn relative to maximum drawdown | 1.58 | 2.53 | -0.96 |
| Martin ratioReturn relative to average drawdown | 5.26 | 11.37 | -6.12 |
How much return does each position deliver for the risk it carries? Higher values mean better reward for the risk taken.
| Position | Risk / Return Rank | Sharpe ratio | Sortino ratio | Omega ratio | Calmar ratio | Martin ratio |
|---|---|---|---|---|---|---|
^GSPC S&P 500 Index | 71 | 1.86 | 2.53 | 1.34 | 2.53 | 11.37 |
^NDX NASDAQ 100 Index | 76 | 2.05 | 2.68 | 1.36 | 2.92 | 10.85 |
ACWI iShares MSCI ACWI ETF | 64 | 1.90 | 2.62 | 1.35 | 2.62 | 11.46 |
BTC-USD Bitcoin | 34 | -0.92 | -1.27 | 0.87 | -0.77 | -1.33 |
ETH-USD Ethereum | 69 | -0.52 | -0.43 | 0.96 | -0.52 | -0.89 |
FEMKX Fidelity Emerging Markets | 73 | 2.12 | 2.70 | 1.40 | 3.46 | 12.40 |
GC=F Gold Futures | — | — | — | — | — | — |
HSTE.L HSBC Hang Seng Tech UCITS ETF | 6 | -0.44 | -0.47 | 0.95 | -0.39 | -0.71 |
ISX5.L iShares Core EURO STOXX 50 UCITS ETF | 31 | 0.98 | 1.55 | 1.19 | 1.39 | 4.69 |
SOL-USD Solana | 51 | -0.74 | -0.98 | 0.91 | -0.72 | -1.16 |
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Dividends
Dividend yield
benchmarks provided a 0.11% dividend yield over the last twelve months.
| Position | TTM | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Portfolio | 0.11% | 0.12% | 0.14% | 0.17% | 0.15% | 0.25% | 0.14% | 0.21% | 0.18% | 0.15% | 0.18% | 0.21% |
| Portfolio components: | ||||||||||||
^GSPC S&P 500 Index | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
^NDX NASDAQ 100 Index | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
ACWI iShares MSCI ACWI ETF | 1.40% | 1.55% | 1.70% | 1.88% | 1.79% | 1.71% | 1.43% | 2.33% | 2.18% | 1.94% | 2.19% | 2.56% |
BTC-USD Bitcoin | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
ETH-USD Ethereum | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
FEMKX Fidelity Emerging Markets | 0.04% | 0.05% | 0.65% | 1.11% | 0.77% | 6.00% | 1.39% | 1.71% | 0.83% | 0.08% | 0.67% | 0.51% |
GC=F Gold Futures | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
HSTE.L HSBC Hang Seng Tech UCITS ETF | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
ISX5.L iShares Core EURO STOXX 50 UCITS ETF | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
SOL-USD Solana | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Drawdowns
Drawdowns Chart
The Drawdowns chart displays portfolio losses from any high point along the way. Drawdowns are calculated considering price movements and all distributions paid, if any.
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Worst Drawdowns
The table below displays the maximum drawdowns of the benchmarks. A maximum drawdown is a measure of risk, indicating the largest reduction in portfolio value due to a series of losing trades.
The maximum drawdown for the benchmarks was 26.65%, occurring on Oct 15, 2022. Recovery took 271 trading sessions.
The current benchmarks drawdown is 2.72%.
Related event | Drawdown | Fall | Recovery | Underwater |
|---|---|---|---|---|
Bear market2022 | -26.65%Oct 2022 | 8mo 7d | 9mo 1d | 1y 5moFeb 2022 - Jul 2023 |
2025 selloff2025 | -17.43%Apr 2025 | 1mo 18d | 1mo 10d | 2mo 28dFeb 2025 - May 2025 |
2026 correction2026 | -11.58%Mar 2026 | 5mo 1d | 1mo 2d | 6mo 3dOct 2025 - May 2026 |
2024 pullback2024 | -9.47%Aug 2024 | 19d | 1mo 20d | 2mo 9dJul 2024 - Sep 2024 |
2023 pullback2023 | -8.90%Oct 2023 | 2mo 29d | 18d | 3mo 17dJul 2023 - Nov 2023 |
Volatility
Volatility Chart
The chart below shows the rolling one-month volatility.
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Diversification
Diversification Metrics
Number of Effective Assets
The portfolio contains 11 assets, with an effective number of assets of 5.51, reflecting the diversification based on asset allocation. Your allocation shows noticeable concentration: a few holdings carry significantly more weight than the rest. Rebalancing toward more even weights — or adding less correlated assets — could reduce risk.
Diversification Ratio
1Y | 3Y | All Time | |
|---|---|---|---|
Diversification Ratio | 1.28 | 1.39 | 1.35 |
The portfolio has a diversification ratio of 1.35, in line with the typical range across portfolios. There's room to improve by adding less correlated assets.
benchmarks correlation to the S&P 500 Index
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.91 |
Correlation (3Y) Calculated over the trailing 3-year period | 0.88 |
Correlation (All Time) Calculated using the full available price history since Jan 31, 2022 | 0.90 |
Benchmark Correlations
Correlation vs. S&P 500 Index. ^GSPC has the highest benchmark correlation at 1.00, while GC=F has the lowest at -0.05.
Asset Correlations Table
| GC=F | HSTE.L | ISX5.L | XRP-USD | SOL-USD | BTC-USD | ETH-USD | FEMKX | ^NDX | ^GSPC | ACWI | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| GC=F | 1.00 | -0.04 | -0.04 | -0.04 | -0.04 | -0.02 | -0.01 | -0.03 | -0.04 | -0.05 | -0.05 |
| HSTE.L | -0.04 | 1.00 | 0.42 | 0.16 | 0.13 | 0.16 | 0.18 | 0.56 | 0.27 | 0.27 | 0.35 |
| ISX5.L | -0.04 | 0.42 | 1.00 | 0.15 | 0.15 | 0.18 | 0.20 | 0.47 | 0.39 | 0.44 | 0.54 |
| XRP-USD | -0.04 | 0.16 | 0.15 | 1.00 | 0.68 | 0.72 | 0.70 | 0.27 | 0.27 | 0.27 | 0.29 |
| SOL-USD | -0.04 | 0.13 | 0.15 | 0.68 | 1.00 | 0.77 | 0.76 | 0.27 | 0.27 | 0.28 | 0.30 |
| BTC-USD | -0.02 | 0.16 | 0.18 | 0.72 | 0.77 | 1.00 | 0.83 | 0.31 | 0.31 | 0.31 | 0.33 |
| ETH-USD | -0.01 | 0.18 | 0.20 | 0.70 | 0.76 | 0.83 | 1.00 | 0.31 | 0.32 | 0.32 | 0.34 |
| FEMKX | -0.03 | 0.56 | 0.47 | 0.27 | 0.27 | 0.31 | 0.31 | 1.00 | 0.68 | 0.66 | 0.74 |
| ^NDX | -0.04 | 0.27 | 0.39 | 0.27 | 0.27 | 0.31 | 0.32 | 0.68 | 1.00 | 0.90 | 0.85 |
| ^GSPC | -0.05 | 0.27 | 0.44 | 0.27 | 0.28 | 0.31 | 0.32 | 0.66 | 0.90 | 1.00 | 0.94 |
| ACWI | -0.05 | 0.35 | 0.54 | 0.29 | 0.30 | 0.33 | 0.34 | 0.74 | 0.85 | 0.94 | 1.00 |
Find what benchmarks is missing
See which holdings overlap, where benchmarks is concentrated, and which low-correlation assets could fill the gaps.
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