Asset Allocation
| Position | Category/Sector | Target Weight |
|---|---|---|
SCHD Schwab U.S. Dividend Equity ETF | Dividend | 33.33% |
QQQ Invesco QQQ ETF | Nasdaq-100 | 33.33% |
VTSAX Vanguard Total Stock Market Index Fund Admiral Shares | Large Cap Blend Equities | 33.33% |
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Performance Chart
The chart shows the growth of an initial investment of $10,000 in Test bed, 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
As of Jun 6, 2026, the Test bed returned 15.49% Year-To-Date and 16.67% of annualized return in the last 10 years.
| Position | 1D | 1M | YTD | 6M | 1Y | 3Y* | 5Y* | 10Y* |
|---|---|---|---|---|---|---|---|---|
Benchmark S&P 500 Index | 0.30% | 0.09% | 8.18% | 8.17% | 23.42% | 19.88% | 11.91% | 13.45% |
Portfolio Test bed | 0.56% | 0.91% | 15.49% | 15.06% | 29.93% | 21.43% | 13.06% | 16.67% |
| Portfolio components: | ||||||||
QQQ Invesco QQQ ETF | 1.56% | 0.68% | 16.71% | 15.00% | 35.78% | 27.15% | 16.98% | 21.59% |
SCHD Schwab U.S. Dividend Equity ETF | -0.03% | 2.12% | 18.71% | 19.28% | 26.37% | 14.73% | 8.49% | 12.65% |
VTSAX Vanguard Total Stock Market Index Fund Admiral Shares | -2.68% | 0.09% | 8.70% | 8.60% | 24.54% | 21.06% | 12.18% | 14.69% |
Monthly Returns
Based on dividend-adjusted daily data since Oct 21, 2011, Test bed's average daily return is +0.07%, while the average monthly return is +1.33%. At this rate, an investment would double in approximately 4.4 years.
Historically, 68% of months were positive and 32% were negative. The best month was Apr 2020 with a return of +13.6%, while the worst month was Mar 2020 at -10.9%. The longest winning streak lasted 7 consecutive months, and the longest losing streak was 3 months.
On a daily basis, Test bed closed higher 55% of trading days. The best single day was Apr 9, 2025 with a return of +9.3%, while the worst single day was Mar 16, 2020 at -11.4%.
| Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Total | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026 | 3.84% | 1.35% | -3.96% | 10.24% | 5.88% | -2.12% | 15.49% | ||||||
| 2025 | 2.37% | -0.68% | -4.83% | -2.33% | 5.74% | 4.68% | 1.57% | 2.84% | 2.51% | 1.64% | 0.57% | -0.09% | 14.38% |
| 2024 | 0.89% | 4.18% | 3.03% | -4.43% | 4.31% | 3.27% | 2.13% | 1.90% | 1.82% | -0.48% | 5.53% | -3.05% | 20.27% |
| 2023 | 6.54% | -1.96% | 3.88% | 0.25% | 1.43% | 6.16% | 3.87% | -1.64% | -4.69% | -2.84% | 8.85% | 5.87% | 27.71% |
| 2022 | -5.83% | -2.96% | 3.61% | -8.91% | 0.78% | -8.41% | 8.60% | -3.89% | -9.10% | 7.80% | 5.88% | -6.01% | -18.97% |
| 2021 | -0.32% | 3.03% | 4.82% | 4.43% | 0.78% | 2.63% | 1.74% | 3.06% | -4.63% | 6.34% | -0.48% | 4.01% | 27.97% |
Benchmark Metrics
Test bed has an annualized alpha of 2.94%, beta of 0.99, and R2 of 0.98 versus S&P 500 Index. Calculated based on daily prices since October 21, 2011.
- This portfolio captured 108.11% of S&P 500 Index gains but only 94.07% of its losses - a favorable profile for investors.
- This portfolio generated an annualized alpha of 2.94% versus S&P 500 Index - delivering returns beyond what market exposure alone would predict.
- With beta of 0.99 and R2 of 0.98, 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
- 2.94%
- Beta
- 0.99
- R²
- 0.98
- Upside Capture
- 108.11%
- Downside Capture
- 94.07%
Expense Ratio
Test bed has an expense ratio of 0.09%, 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
Test bed ranks 82 for risk / return — in the top 82% of Portfolios on our site. This means strong returns relative to risk — exactly what professional investors look for. Well-suited for investors who want to maximize return per unit of risk.
Return / Risk — by metrics
The table below presents risk-adjusted performance metrics for Test bed and compares them with S&P 500 Index.
| Portfolio | Benchmark | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | 2.68 | 1.94 | +0.75 |
| Sortino ratioReturn per unit of downside risk | 3.57 | 2.63 | +0.94 |
| Omega ratioGain probability vs. loss probability | 1.49 | 1.35 | +0.14 |
| Calmar ratioReturn relative to maximum drawdown | 4.56 | 2.59 | +1.98 |
| Martin ratioReturn relative to average drawdown | 20.23 | 11.84 | +8.38 |
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.
| Position | Risk / Return Rank | Sharpe ratio | Sortino ratio | Omega ratio | Calmar ratio | Martin ratio |
|---|---|---|---|---|---|---|
QQQ Invesco QQQ ETF | 69 | 2.15 | 2.77 | 1.38 | 3.00 | 11.43 |
SCHD Schwab U.S. Dividend Equity ETF | 85 | 2.43 | 3.75 | 1.43 | 5.74 | 14.06 |
VTSAX Vanguard Total Stock Market Index Fund Admiral Shares | 57 | 2.08 | 2.81 | 1.37 | 2.91 | 13.38 |
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Dividends
Dividend yield
Test bed provided a 1.56% dividend yield over the last twelve months.
| Position | TTM | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Portfolio | 1.56% | 1.80% | 1.82% | 1.85% | 1.95% | 1.47% | 1.71% | 1.83% | 2.00% | 1.72% | 1.96% | 1.98% |
| Portfolio components: | ||||||||||||
QQQ Invesco QQQ ETF | 0.39% | 0.45% | 0.56% | 0.62% | 0.80% | 0.43% | 0.55% | 0.74% | 0.91% | 0.84% | 1.06% | 0.99% |
SCHD Schwab U.S. Dividend Equity ETF | 3.27% | 3.82% | 3.64% | 3.49% | 3.39% | 2.78% | 3.16% | 2.98% | 3.06% | 2.63% | 2.89% | 2.97% |
VTSAX Vanguard Total Stock Market Index Fund Admiral Shares | 1.03% | 1.11% | 1.26% | 1.42% | 1.65% | 1.20% | 1.41% | 1.76% | 2.03% | 1.71% | 1.92% | 1.98% |
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 Test bed. 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 Test bed was 31.80%, occurring on Mar 23, 2020. Recovery took 82 trading sessions.
The current Test bed drawdown is 2.19%.
Related event | Drawdown | Fall | Recovery | Underwater |
|---|---|---|---|---|
COVID crash2020 | -31.80%Mar 2020 | 1mo 2d | 3mo 29d | 5mo 1dFeb 2020 - Jul 2020 |
Bear market2022 | -25.04%Oct 2022 | 9mo 18d | 1y 2mo | 1y 11moDec 2021 - Dec 2023 |
Rate-hike selloffLate 2018 | -19.65%Dec 2018 | 3mo 4d | 3mo 12d | 6mo 16dSep 2018 - Apr 2019 |
2025 selloff2025 | -18.36%Apr 2025 | 1mo 17d | 2mo 23d | 4mo 10dFeb 2025 - Jun 2025 |
2016 correction2016 | -12.54%Feb 2016 | 3mo 9d | 2mo 7d | 5mo 16dNov 2015 - Apr 2016 |
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 3 assets, with an effective number of assets of 3.00, reflecting the diversification based on asset allocation. Your capital is spread almost evenly across your holdings, indicating a well-balanced allocation. Note that true diversification also depends on the correlations between assets — check the diversification ratio below.
Diversification Ratio
1Y | 3Y | 5Y | 10Y | All Time | |
|---|---|---|---|---|---|
Diversification Ratio | 1.19 | 1.10 | 1.07 | 1.06 | 1.05 |
The portfolio has a diversification ratio of 1.05, placing it in the bottom quartile across portfolios — positions are highly correlated. Consider adding assets from different classes or sectors to reduce risk.
Test bed correlation to the S&P 500 Index
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.95 |
Correlation (3Y) Calculated over the trailing 3-year period | 0.97 |
Correlation (5Y) Calculated over the trailing 5-year period | 0.98 |
Correlation (10Y) Calculated over the trailing 10-year period | 0.98 |
Correlation (All Time) Calculated using the full available price history since Oct 21, 2011 | 0.98 |
Benchmark Correlations
Correlation vs. S&P 500 Index. VTSAX has the highest benchmark correlation at 0.99, while SCHD has the lowest at 0.82.
Asset Correlations Table
Find what Test bed is missing
See which holdings overlap, where Test bed is concentrated, and which low-correlation assets could fill the gaps.
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