Asset Allocation
| Position | Category/Sector | Target Weight |
|---|---|---|
QQQ Invesco QQQ ETF | Large Cap Growth Equities | 50% |
SPY State Street SPDR S&P 500 ETF | S&P 500 | 50% |
Performance
Performance Chart
The chart shows the growth of an initial investment of $10,000 in 0-SI-Idx-ETFs, 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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The earliest data available for this chart is Mar 10, 1999, corresponding to the inception date of QQQ
Returns By Period
As of Apr 3, 2026, the 0-SI-Idx-ETFs returned -4.10% Year-To-Date and 16.67% of annualized return in the last 10 years.
| 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 0-SI-Idx-ETFs | 0.10% | -2.99% | -4.10% | -2.31% | 20.49% | 20.71% | 12.65% | 16.67% |
| Portfolio components: | ||||||||
SPY State Street SPDR S&P 500 ETF | 0.09% | -3.34% | -3.56% | -1.44% | 17.51% | 18.37% | 11.88% | 14.11% |
QQQ Invesco QQQ ETF | 0.11% | -2.64% | -4.65% | -3.18% | 23.45% | 22.97% | 13.18% | 19.05% |
Monthly Returns
Based on dividend-adjusted daily data since Mar 11, 1999, 0-SI-Idx-ETFs's average daily return is +0.05%, while the average monthly return is +0.89%. At this rate, your investment would double in approximately 6.5 years.
Historically, 60% of months were positive and 40% were negative. The best month was Dec 1999 with a return of +15.2%, while the worst month was Feb 2001 at -18.0%. The longest winning streak lasted 7 consecutive months, and the longest losing streak was 6 months.
On a daily basis, 0-SI-Idx-ETFs closed higher 55% of trading days. The best single day was Oct 13, 2008 with a return of +13.3%, while the worst single day was Mar 16, 2020 at -11.5%.
| Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Total | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026 | 1.35% | -1.60% | -4.89% | 1.10% | -4.10% | ||||||||
| 2025 | 2.43% | -1.98% | -6.57% | 0.26% | 7.74% | 5.77% | 2.36% | 1.50% | 4.47% | 3.58% | -0.69% | -0.30% | 19.30% |
| 2024 | 1.71% | 5.25% | 2.27% | -4.20% | 5.60% | 5.00% | -0.23% | 1.73% | 2.35% | -0.88% | 5.66% | -0.98% | 25.29% |
| 2023 | 8.47% | -1.41% | 6.69% | 1.05% | 4.16% | 6.38% | 3.57% | -1.55% | -4.91% | -2.12% | 9.98% | 5.08% | 40.09% |
| 2022 | -7.01% | -3.70% | 4.20% | -11.19% | -0.66% | -8.57% | 10.88% | -4.61% | -9.89% | 6.07% | 5.55% | -7.35% | -25.60% |
| 2021 | -0.38% | 1.32% | 3.16% | 5.60% | -0.28% | 4.25% | 2.65% | 3.60% | -5.17% | 7.44% | 0.61% | 2.85% | 28.15% |
Benchmark Metrics
0-SI-Idx-ETFs has an annualized alpha of 2.97%, beta of 1.08, and R² of 0.88 versus S&P 500 Index. Calculated based on daily prices since March 11, 1999.
- This portfolio captured 125.49% of S&P 500 Index gains and 108.02% of its losses — amplifying both gains and losses, but participating more in upside than downside.
- This portfolio generated an annualized alpha of 2.97% versus S&P 500 Index — delivering returns beyond what market exposure alone would predict.
- With beta of 1.08 and R² of 0.88, 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
- 2.97%
- Beta
- 1.08
- R²
- 0.88
- Upside Capture
- 125.49%
- Downside Capture
- 108.02%
Expense Ratio
0-SI-Idx-ETFs has an expense ratio of 0.14%, 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
0-SI-Idx-ETFs ranks 34 for risk / return — below 34% of portfolios on our site. The returns aren't fully compensating for the risk involved. This isn't necessarily a dealbreaker, but factor it into your decision — especially if you're risk-averse.
Return / Risk — by metrics
| Portfolio | Benchmark | Difference | |
|---|---|---|---|
Sharpe ratioReturn per unit of total volatility | 0.99 | 0.88 | +0.11 |
Sortino ratioReturn per unit of downside risk | 1.55 | 1.37 | +0.18 |
Omega ratioGain probability vs. loss probability | 1.23 | 1.21 | +0.02 |
Calmar ratioReturn relative to maximum drawdown | 1.73 | 1.39 | +0.34 |
Martin ratioReturn relative to average drawdown | 7.31 | 6.43 | +0.88 |
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 | |
|---|---|---|---|---|---|---|
SPY State Street SPDR S&P 500 ETF | 53 | 0.92 | 1.45 | 1.22 | 1.51 | 7.11 |
QQQ Invesco QQQ ETF | 59 | 1.04 | 1.62 | 1.23 | 1.93 | 7.00 |
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Dividends
Dividend yield
0-SI-Idx-ETFs provided a 0.80% dividend yield over the last twelve months.
| TTM | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Portfolio | 0.80% | 0.76% | 0.88% | 1.01% | 1.23% | 0.81% | 1.04% | 1.24% | 1.48% | 1.32% | 1.54% | 1.53% |
| Portfolio components: | ||||||||||||
SPY State Street SPDR S&P 500 ETF | 1.13% | 1.07% | 1.21% | 1.40% | 1.65% | 1.20% | 1.52% | 1.75% | 2.04% | 1.80% | 2.03% | 2.06% |
QQQ Invesco QQQ ETF | 0.48% | 0.45% | 0.56% | 0.62% | 0.80% | 0.43% | 0.55% | 0.74% | 0.91% | 0.84% | 1.06% | 0.99% |
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 0-SI-Idx-ETFs. 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 0-SI-Idx-ETFs was 68.68%, occurring on Oct 9, 2002. Recovery took 2665 trading sessions.
The current 0-SI-Idx-ETFs drawdown is 6.47%.
Depth | Start | To Bottom | Bottom | To Recover | End | Total |
|---|---|---|---|---|---|---|
| -68.68% | Mar 27, 2000 | 637 | Oct 9, 2002 | 2665 | May 13, 2013 | 3302 |
| -30.73% | Feb 20, 2020 | 23 | Mar 23, 2020 | 72 | Jul 6, 2020 | 95 |
| -29.76% | Dec 28, 2021 | 202 | Oct 14, 2022 | 291 | Dec 12, 2023 | 493 |
| -20.95% | Oct 2, 2018 | 58 | Dec 24, 2018 | 75 | Apr 12, 2019 | 133 |
| -20.77% | Feb 20, 2025 | 34 | Apr 8, 2025 | 53 | Jun 25, 2025 | 87 |
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 2 assets, with an effective number of assets of 2.00, 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 | QQQ | SPY | Portfolio | |
|---|---|---|---|---|
| Benchmark | 1.00 | 0.87 | 0.98 | 0.94 |
| QQQ | 0.87 | 1.00 | 0.87 | 0.98 |
| SPY | 0.98 | 0.87 | 1.00 | 0.95 |
| Portfolio | 0.94 | 0.98 | 0.95 | 1.00 |