Asset Allocation
Performance
Performance Chart
The chart shows the growth of an initial investment of $10,000 in Crazy test, 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 year.
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The earliest data available for this chart is Mar 22, 2017, corresponding to the inception date of ICSU.L
Returns By Period
| 1D | 1M | YTD | 6M | 1Y | 3Y* | 5Y* | 10Y* | |
|---|---|---|---|---|---|---|---|---|
Benchmark S&P 500 Index | 0.11% | -3.43% | -3.84% | -1.98% | 16.08% | 16.86% | 10.37% | 12.29% |
Portfolio Crazy test | -0.14% | -4.33% | -1.16% | 1.09% | 9.28% | 11.88% | 8.59% | — |
| Portfolio components: | ||||||||
ICSU.L iShares S&P 500 Consumer Staples Sector UCITS ETF USD (Acc) | 0.62% | -5.06% | 6.80% | 7.72% | 5.04% | 7.74% | 7.97% | — |
GGRG.L WisdomTree Global Quality Dividend Growth UCITS ETF - USD Acc | -0.54% | -4.24% | -4.16% | -0.89% | 10.90% | 10.59% | 7.40% | — |
XDWI.L Xtrackers MSCI World Industrials UCITS ETF 1C | -0.78% | -4.55% | 4.52% | 6.72% | 27.08% | 19.63% | 11.33% | 12.01% |
MVUS.L iShares Edge S&P 500 Minimum Volatility UCITS ETF USD (Acc) | -0.03% | -4.05% | -4.06% | -1.88% | 4.54% | 11.04% | 8.15% | 9.82% |
Monthly Returns
Based on dividend-adjusted daily data since Mar 23, 2017, Crazy test's average daily return is +0.04%, while the average monthly return is +0.86%. At this rate, your investment would double in approximately 6.7 years.
Historically, 69% of months were positive and 31% were negative. The best month was Apr 2020 with a return of +8.5%, while the worst month was Mar 2020 at -9.9%. The longest winning streak lasted 10 consecutive months, and the longest losing streak was 3 months.
On a daily basis, Crazy test closed higher 55% of trading days. The best single day was Mar 24, 2020 with a return of +6.8%, while the worst single day was Mar 12, 2020 at -8.6%.
| Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Total | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026 | 1.82% | 3.68% | -7.66% | 1.39% | -1.16% | ||||||||
| 2025 | 3.50% | 0.38% | -2.12% | -0.16% | 3.90% | 2.18% | 0.21% | 1.17% | 1.05% | 0.37% | 1.34% | 1.16% | 13.63% |
| 2024 | 2.16% | 2.78% | 3.19% | -3.05% | 2.72% | 2.33% | 2.18% | 2.76% | 1.80% | -1.25% | 3.71% | -4.60% | 15.31% |
| 2023 | 2.01% | -2.91% | 3.18% | 2.78% | -3.17% | 5.06% | 1.73% | -1.82% | -4.44% | -2.60% | 7.50% | 4.43% | 11.50% |
| 2022 | -5.79% | -1.17% | 4.28% | -3.92% | -2.82% | -5.81% | 5.80% | -2.79% | -7.21% | 6.52% | 4.96% | -1.42% | -10.18% |
| 2021 | -1.68% | 0.35% | 5.92% | 3.44% | 1.68% | 0.45% | 2.63% | 1.66% | -4.07% | 4.20% | -0.05% | 5.89% | 21.88% |
Benchmark Metrics
Crazy test has an annualized alpha of 5.82%, beta of 0.42, and R² of 0.32 versus S&P 500 Index. Calculated based on daily prices since March 23, 2017.
- This portfolio participated in 78.53% of S&P 500 Index downside but only 78.00% of its upside — more exposed to losses than it benefited from rallies.
- Beta of 0.42 may look defensive, but with R² of 0.32 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 0.32 means the benchmark explains less than half of this portfolio's behavior — treat beta with caution or consider switching to a more representative benchmark.
- Alpha
- 5.82%
- Beta
- 0.42
- R²
- 0.32
- Upside Capture
- 78.00%
- Downside Capture
- 78.53%
Expense Ratio
Crazy test has an expense ratio of 0.24%, 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
Crazy test 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
| Portfolio | Benchmark | Difference | |
|---|---|---|---|
Sharpe ratioReturn per unit of total volatility | 0.73 | 0.88 | -0.15 |
Sortino ratioReturn per unit of downside risk | 1.06 | 1.37 | -0.30 |
Omega ratioGain probability vs. loss probability | 1.16 | 1.21 | -0.05 |
Calmar ratioReturn relative to maximum drawdown | 1.36 | 1.39 | -0.03 |
Martin ratioReturn relative to average drawdown | 5.76 | 6.43 | -0.68 |
Data is calculated on a 1-year rolling basis and updated daily. The trend shows the change in the indicator over the past month. | |||
How much return does each position deliver for the risk it carries? Higher values mean better reward for the risk taken.
| Risk / Return Rank | Sharpe ratio | Sortino ratio | Omega ratio | Calmar ratio | Martin ratio | |
|---|---|---|---|---|---|---|
ICSU.L iShares S&P 500 Consumer Staples Sector UCITS ETF USD (Acc) | 19 | 0.34 | 0.59 | 1.07 | 0.49 | 1.16 |
GGRG.L WisdomTree Global Quality Dividend Growth UCITS ETF - USD Acc | 39 | 0.74 | 1.09 | 1.15 | 1.31 | 5.56 |
XDWI.L Xtrackers MSCI World Industrials UCITS ETF 1C | 80 | 1.51 | 2.12 | 1.30 | 2.76 | 11.53 |
MVUS.L iShares Edge S&P 500 Minimum Volatility UCITS ETF USD (Acc) | 25 | 0.35 | 0.56 | 1.08 | 0.98 | 4.06 |
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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 Crazy test. 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 Crazy test was 31.88%, occurring on Mar 23, 2020. Recovery took 112 trading sessions.
The current Crazy test drawdown is 6.21%.
Depth | Start | To Bottom | Bottom | To Recover | End | Total |
|---|---|---|---|---|---|---|
| -31.88% | Feb 18, 2020 | 25 | Mar 23, 2020 | 112 | Sep 2, 2020 | 137 |
| -20.22% | Dec 31, 2021 | 195 | Oct 11, 2022 | 306 | Dec 28, 2023 | 501 |
| -15.61% | Sep 24, 2018 | 66 | Dec 24, 2018 | 68 | Apr 2, 2019 | 134 |
| -12.35% | Mar 4, 2025 | 25 | Apr 7, 2025 | 27 | May 19, 2025 | 52 |
| -9.53% | Jan 30, 2018 | 66 | May 3, 2018 | 94 | Sep 17, 2018 | 160 |
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 4 assets, with an effective number of assets of 2.99, reflecting the diversification based on asset allocation. This number of effective assets suggests a highly concentrated portfolio, where a few assets dominate the allocation, potentially increasing the portfolio's risk due to lack of diversification.
Asset Correlations Table
| Benchmark | ICSU.L | XDWI.L | GGRG.L | MVUS.L | Portfolio | |
|---|---|---|---|---|---|---|
| Benchmark | 1.00 | 0.28 | 0.52 | 0.59 | 0.55 | 0.57 |
| ICSU.L | 0.28 | 1.00 | 0.35 | 0.55 | 0.69 | 0.71 |
| XDWI.L | 0.52 | 0.35 | 1.00 | 0.80 | 0.68 | 0.78 |
| GGRG.L | 0.59 | 0.55 | 0.80 | 1.00 | 0.86 | 0.93 |
| MVUS.L | 0.55 | 0.69 | 0.68 | 0.86 | 1.00 | 0.97 |
| Portfolio | 0.57 | 0.71 | 0.78 | 0.93 | 0.97 | 1.00 |