ETF FOR MARKET CRASHES

The chart shows the growth of an initial investment of $10,000 in ETF FOR MARKET CRASHES, 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.

As of Apr 3, 2026, the ETF FOR MARKET CRASHES returned 6.27% Year-To-Date and 11.25% of annualized return in the last 10 years.

Based on dividend-adjusted daily data since Oct 21, 2011, ETF FOR MARKET CRASHES's average daily return is +0.05%, while the average monthly return is +0.96%. At this rate, your investment would double in approximately 6.0 years.

Historically, 66% of months were positive and 34% were negative. The best month was Apr 2020 with a return of +8.9%, while the worst month was Mar 2020 at -9.9%. The longest winning streak lasted 8 consecutive months, and the longest losing streak was 4 months.

On a daily basis, ETF FOR MARKET CRASHES closed higher 55% of trading days. The best single day was Mar 24, 2020 with a return of +8.3%, while the worst single day was Mar 16, 2020 at -9.3%.

ETF FOR MARKET CRASHES has an annualized alpha of 3.39%, beta of 0.65, and R² of 0.75 versus S&P 500 Index. Calculated based on daily prices since October 21, 2011.

• This portfolio participates in less of S&P 500 Index's moves in both directions, but captures a larger share of gains (69.82%) than losses (60.44%) — typical of diversified or defensive assets.
• This portfolio generated an annualized alpha of 3.39% versus S&P 500 Index — delivering returns beyond what market exposure alone would predict.
• Beta of 0.65 indicates this portfolio moves significantly less than S&P 500 Index — a genuinely defensive profile with reduced participation in both market rallies and downturns.

ETF FOR MARKET CRASHES has an expense ratio of 0.13%, 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.

ETF FOR MARKET CRASHES ranks 32 for risk / return — below 32% 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.

The Sharpe ratio helps investors understand how much return they're getting for the level of risk taken. A higher Sharpe ratio indicates better risk-adjusted performance, meaning more reward for each unit of risk.

ETF FOR MARKET CRASHES Sharpe ratios as of Apr 3, 2026 (values are recalculated daily):

• 1-Year: 1.10
• 5-Year: 0.86
• 10-Year: 0.82
• All Time: 0.92

These values reflect how efficiently the investment has delivered returns relative to its volatility over different time periods. All figures are annualized and based on daily total returns (including price changes and dividends).

Compared to the broad market, where average Sharpe ratios range from 0.98 to 1.66, this portfolio's current Sharpe ratio falls between the 25th and 75th percentiles. This indicates that its risk-adjusted performance is in line with the majority of portfolios, suggesting a balanced approach to risk and return—likely suitable for a wide range of investors.

The chart below shows the rolling Sharpe ratio of ETF FOR MARKET CRASHES compared to the selected benchmark. This view highlights how the investment's risk-adjusted performance has changed over time.

ETF FOR MARKET CRASHES provided a 2.18% dividend yield over the last twelve months.

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.

The table below displays the maximum drawdowns of the ETF FOR MARKET CRASHES. 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 ETF FOR MARKET CRASHES was 30.51%, occurring on Mar 23, 2020. Recovery took 141 trading sessions.

The current ETF FOR MARKET CRASHES drawdown is 4.18%.

The chart below shows the rolling one-month volatility.