PortfoliosLab logoPortfoliosLab logo
experiment
Performance
Return for Risk
Dividends
Drawdowns
Volatility
Diversification

Asset Allocation


S&P 500 Index

Performance

Performance Chart

The chart shows the growth of an initial investment of $10,000 in experiment, 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.


Loading graphics...

The earliest data available for this chart is May 6, 2025, corresponding to the inception date of QUSA

Returns By Period


1D1MYTD6M1Y3Y*5Y*10Y*
Benchmark
S&P 500 Index
0.11%-4.18%-3.84%-1.98%21.98%16.86%10.37%12.29%
Portfolio
experiment
-0.35%-5.29%-6.23%-17.71%
GPIX
Goldman Sachs S&P 500 Core Premium Income ETF
0.24%-3.47%-2.34%0.46%22.22%
QUSA
VistaShares Target 15™ USA Quality Income ETF
0.04%-3.36%-0.67%-4.79%
MSTY
YieldMax™ MSTR Option Income Strategy ETF
-1.82%-13.17%-16.31%-58.02%-49.73%
APLY
YieldMax AAPL Option Income Strategy ETF
0.10%-1.09%-5.39%-1.36%19.46%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Monthly Returns

Based on dividend-adjusted daily data since May 7, 2025, experiment's average daily return is -0.05%, while the average monthly return is -0.96%.

Historically, 33% of months were positive and 67% were negative. The best month was Jun 2025 with a return of +3.6%, while the worst month was Nov 2025 at -6.0%. The longest winning streak lasted 3 consecutive months, and the longest losing streak was 7 months.

On a daily basis, experiment closed higher 55% of trading days. The best single day was Feb 6, 2026 with a return of +5.6%, while the worst single day was Feb 5, 2026 at -4.2%.


JanFebMarAprMayJunJulAugSepOctNovDecTotal
2026-0.70%-2.10%-3.25%-0.31%-6.23%
20251.08%3.55%0.84%-0.93%1.24%-2.91%-5.96%-2.05%-5.33%

Benchmark Metrics

experiment has an annualized alpha of -27.12%, beta of 1.08, and R² of 0.58 versus S&P 500 Index. Calculated based on daily prices since May 07, 2025.

  • This portfolio participated in 118.65% of S&P 500 Index downside but only -16.62% of its upside — more exposed to losses than it benefited from rallies.
  • This portfolio had an annualized alpha of -27.12% versus S&P 500 Index — delivering less than market exposure alone would predict.
  • With beta of 1.08 and R² of 0.58, 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
-27.12%
Beta
1.08
0.58
Upside Capture
-16.62%
Downside Capture
118.65%

Expense Ratio

experiment has an expense ratio of 0.81%, placing it in the medium range. Below, you can find the expense ratios of the portfolio's funds side by side and easily compare their relative costs.


Return for Risk

Return / Risk — by metrics


Risk / return metrics aren't available yet — we need at least 12 months of trading data to calculate them.


How much return does each position deliver for the risk it carries? Higher values mean better reward for the risk taken.

Risk / Return RankSharpe ratioSortino ratioOmega ratioCalmar ratioMartin ratio
GPIX
Goldman Sachs S&P 500 Core Premium Income ETF
561.001.521.251.527.84
QUSA
VistaShares Target 15™ USA Quality Income ETF
MSTY
YieldMax™ MSTR Option Income Strategy ETF
1-0.85-1.280.85-0.74-1.31
APLY
YieldMax AAPL Option Income Strategy ETF
210.360.711.100.481.67

Sharpe Ratio

There isn't enough data available to calculate the Sharpe ratio for experiment. This metric is based on the past 12 months of trading data. Please check back later for updated information.


Loading graphics...

Dividends

Dividend yield

experiment provided a 93.35% dividend yield over the last twelve months.


TTM202520242023
Portfolio93.35%86.40%34.24%3.94%
GPIX
Goldman Sachs S&P 500 Core Premium Income ETF
8.64%8.01%7.45%1.40%
QUSA
VistaShares Target 15™ USA Quality Income ETF
10.79%6.61%0.00%0.00%
MSTY
YieldMax™ MSTR Option Income Strategy ETF
314.69%294.61%104.56%0.00%
APLY
YieldMax AAPL Option Income Strategy ETF
39.29%36.38%24.95%14.36%

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.


Loading graphics...

Worst Drawdowns

The table below displays the maximum drawdowns of the experiment. 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 experiment was 20.14%, occurring on Mar 30, 2026. The portfolio has not yet recovered.

The current experiment drawdown is 18.19%.


Depth

Start

To Bottom

Bottom

To Recover

End

Total

-20.14%Jul 18, 2025176Mar 30, 2026
-4.57%May 20, 20254May 23, 202526Jul 2, 202530
-1.16%May 14, 20252May 15, 20252May 19, 20254
-0.66%Jul 7, 20251Jul 7, 20252Jul 9, 20253
-0.53%Jul 15, 20251Jul 15, 20251Jul 16, 20252

Volatility

Volatility Chart

The chart below shows the rolling one-month volatility.


Loading graphics...

Diversification

Diversification Metrics


Number of Effective Assets

The portfolio contains 4 assets, with an effective number of assets of 4.00, 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

The table below displays the correlation coefficients between the individual components of the portfolio, the entire portfolio, and the chosen benchmark.

BenchmarkAPLYMSTYQUSAGPIXPortfolio
Benchmark1.000.530.450.680.990.71
APLY0.531.000.160.310.530.51
MSTY0.450.161.000.300.440.87
QUSA0.680.310.301.000.680.54
GPIX0.990.530.440.681.000.72
Portfolio0.710.510.870.540.721.00
The correlation results are calculated based on daily price changes starting from May 7, 2025