Asset Allocation
| Position | Category/Sector | Target Weight |
|---|---|---|
VWCE.DE Vanguard FTSE All-World UCITS ETF | Global Equities | 50% |
EGLN.L iShares Physical Gold ETC | Gold, Precious Metals | 15% |
XNAS.DE Xtrackers Nasdaq 100 UCITS ETF 1C | Nasdaq-100 | 15% |
EXUS.DE Xtrackers MSCI World ex USA UCITS ETF 1C USD | Global Equities | 10% |
SPYQ.DE SPDR MSCI Europe Industrials UCITS ETF | Industrials Equities | 10% |
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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 Testing best option , 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 Testing best option | 1.57% | -0.90% | 9.44% | 10.95% | 27.36% | — | — | — |
| Portfolio components: | ||||||||
EGLN.L iShares Physical Gold ETC | 2.73% | -10.09% | -2.27% | -1.66% | 23.03% | 29.23% | 17.39% | 11.12% |
EXUS.DE Xtrackers MSCI World ex USA UCITS ETF 1C USD | 1.88% | 1.65% | 8.75% | 10.58% | 21.73% | — | — | — |
SPYQ.DE SPDR MSCI Europe Industrials UCITS ETF | 1.88% | -0.78% | 6.25% | 7.65% | 16.75% | 21.12% | 11.54% | 13.48% |
VWCE.DE Vanguard FTSE All-World UCITS ETF | 1.71% | 0.00% | 10.00% | 11.71% | 26.52% | 19.75% | 10.87% | — |
XNAS.DE Xtrackers Nasdaq 100 UCITS ETF 1C | -0.73% | 3.82% | 19.13% | 20.69% | 38.93% | 28.03% | 17.68% | — |
Monthly Returns
Based on dividend-adjusted daily data since Mar 14, 2024, Testing best option 's average daily return is +0.09%, while the average monthly return is +1.73%. At this rate, an investment would double in approximately 3.4 years.
Historically, 75% of months were positive and 25% were negative. The best month was Apr 2026 with a return of +9.4%, while the worst month was Mar 2026 at -8.8%. The longest winning streak lasted 11 consecutive months, and the longest losing streak was 2 months.
On a daily basis, Testing best option closed higher 56% of trading days. The best single day was Apr 10, 2025 with a return of +6.1%, while the worst single day was Apr 4, 2025 at -5.1%.
| Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Total | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026 | 4.54% | 2.14% | -8.82% | 9.35% | 4.73% | -1.84% | 9.44% | ||||||
| 2025 | 4.57% | -0.98% | -0.92% | 2.24% | 5.89% | 4.31% | 0.84% | 2.18% | 4.83% | 2.82% | 0.46% | 2.07% | 31.96% |
| 2024 | 1.02% | -1.94% | 3.30% | 2.38% | 1.50% | 1.90% | 2.95% | -0.92% | 2.10% | -2.14% | 10.44% |
Benchmark Metrics
Testing best option has an annualized alpha of 14.33%, beta of 0.36, and R2 of 0.17 versus S&P 500 Index. Calculated based on daily prices since March 14, 2024.
- This portfolio participates in less of S&P 500 Index's moves in both directions, but captures a larger share of gains (90.06%) than losses (64.79%) - typical of diversified or defensive assets.
- Beta of 0.36 may look defensive, but with R2 of 0.17 this portfolio is largely uncorrelated with S&P 500 Index - low beta reflects independence, not downside protection. See the Volatility section for a true picture of this portfolio's risk.
- R2 of 0.17 means this portfolio moves largely independently of S&P 500 Index - capture ratios reflect limited market correlation rather than active downside protection. Consider using a more representative benchmark.
- Alpha
- 14.33%
- Beta
- 0.36
- R²
- 0.17
- Upside Capture
- 90.06%
- Downside Capture
- 64.79%
Expense Ratio
Testing best option has an expense ratio of 0.20%, 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
Testing best option ranks 52 for risk / return — on par with similar Portfolios. You're getting a typical balance of risk and reward. Not a standout, but not a red flag either — a reasonable choice if other factors align with your goals.
Return / Risk — by metrics
The table below presents risk-adjusted performance metrics for Testing best option 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 | 2.01 | 1.86 | +0.15 |
| Sortino ratioReturn per unit of downside risk | 2.94 | 2.53 | +0.41 |
| Omega ratioGain probability vs. loss probability | 1.35 | 1.34 | +0.02 |
| Calmar ratioReturn relative to maximum drawdown | 2.56 | 2.53 | +0.03 |
| Martin ratioReturn relative to average drawdown | 11.04 | 11.37 | -0.34 |
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 |
|---|---|---|---|---|---|---|
EGLN.L iShares Physical Gold ETC | 28 | 0.97 | 1.36 | 1.19 | 1.06 | 3.23 |
EXUS.DE Xtrackers MSCI World ex USA UCITS ETF 1C USD | 47 | 1.49 | 2.20 | 1.27 | 2.02 | 7.41 |
SPYQ.DE SPDR MSCI Europe Industrials UCITS ETF | 25 | 0.73 | 1.21 | 1.14 | 1.01 | 3.57 |
VWCE.DE Vanguard FTSE All-World UCITS ETF | 70 | 2.05 | 2.97 | 1.36 | 2.86 | 11.93 |
XNAS.DE Xtrackers Nasdaq 100 UCITS ETF 1C | 83 | 2.54 | 3.47 | 1.43 | 3.70 | 13.68 |
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Dividends
Dividend yield
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 Testing best option . 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 Testing best option was 13.80%, occurring on Apr 9, 2025. Recovery took 17 trading sessions.
The current Testing best option drawdown is 2.15%.
Related event | Drawdown | Fall | Recovery | Underwater |
|---|---|---|---|---|
2025 selloff2025 | -13.80%Apr 2025 | 1mo 20d | 27d | 2mo 17dFeb 2025 - May 2025 |
2026 correction2026 | -10.27%Mar 2026 | 29d | 21d | 1mo 20dFeb 2026 - Apr 2026 |
2024 pullback2024 | -7.30%Aug 2024 | 19d | 18d | 1mo 7dJul 2024 - Aug 2024 |
2025 pullback2025 | -4.25%Nov 2025 | 8d | 14d | 22dNov 2025 - Dec 2025 |
2025 pullback2025 | -4.21%Jan 2025 | 1mo 2d | 9d | 1mo 11dDec 2024 - Jan 2025 |
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 5 assets, with an effective number of assets of 3.17, 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 | All Time | |
|---|---|---|
Diversification Ratio | 1.21 | 1.20 |
The portfolio has a diversification ratio of 1.20, placing it in the bottom quartile across portfolios — positions are highly correlated. Consider adding assets from different classes or sectors to reduce risk.
Testing best option correlation to the S&P 500 Index
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.70 |
Correlation (All Time) Calculated using the full available price history since Mar 14, 2024 | 0.59 |
Benchmark Correlations
Correlation vs. S&P 500 Index. VWCE.DE has the highest benchmark correlation at 0.63, while EGLN.L has the lowest at 0.14.
Asset Correlations Table
Find what Testing best option is missing
See which holdings overlap, where Testing best option is concentrated, and which low-correlation assets could fill the gaps.
Analyze Diversification