BAGY vs. GOOY
BAGY (Amplify Bitcoin Max Income Covered Call ETF) and GOOY (YieldMax GOOGL Option Income Strategy ETF) are both Derivative Income funds. Both are actively managed. Over the past year, BAGY returned -37.04% vs 88.26% for GOOY. At a 0.25 correlation, their price movements are largely independent. BAGY charges 0.65%/yr vs 0.99%/yr for GOOY.
Performance
BAGY vs. GOOY - Performance Comparison
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Returns By Period
In the year-to-date period, BAGY achieves a -21.90% return, which is significantly lower than GOOY's 13.61% return.
BAGY
- 1D
- -2.73%
- 1M
- -20.28%
- YTD
- -21.90%
- 6M
- -24.70%
- 1Y
- -37.04%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
GOOY
- 1D
- -0.65%
- 1M
- -5.16%
- YTD
- 13.61%
- 6M
- 11.36%
- 1Y
- 88.26%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
BAGY vs. GOOY - Yearly Performance Comparison
| 2026 (YTD) | 2025 | |
|---|---|---|
BAGY Amplify Bitcoin Max Income Covered Call ETF | -21.90% | -8.88% |
GOOY YieldMax GOOGL Option Income Strategy ETF | 13.61% | 67.53% |
Correlation
The correlation between BAGY and GOOY is 0.27, which is low. Their price movements are largely independent, making them effective diversification partners.
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.27 |
Correlation (All Time) Calculated using the full available price history since Apr 30, 2025 | 0.25 |
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Return for Risk
BAGY vs. GOOY — Risk / Return Rank
BAGY
GOOY
BAGY vs. GOOY - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for Amplify Bitcoin Max Income Covered Call ETF (BAGY) and YieldMax GOOGL Option Income Strategy ETF (GOOY). Risk-adjusted metrics are performance indicators that assess an investment's returns in relation to its risk, enabling a more accurate comparison of different investment options.
| BAGY | GOOY | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | -4.73 | ||
| Sortino ratioReturn per unit of downside risk | -6.30 | ||
| Omega ratioGain probability vs. loss probability | 0.86 | 1.65 | -0.79 |
| Calmar ratioReturn relative to maximum drawdown | -0.78 | 5.50 | -6.28 |
| Martin ratioReturn relative to average drawdown | -1.41 | 21.08 | -22.49 |
Data is calculated on a 1-year rolling basis and updated daily. The trend shows the change in the indicator over the past month. | |||
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Sharpe Ratios by Period
| BAGY | GOOY | Difference | |
|---|---|---|---|
Sharpe Ratio (1Y)Calculated over the trailing 1-year period | -0.89 | 3.84 | -4.73 |
Sharpe Ratio (All Time)Calculated using the full available price history | -0.66 | 1.09 | -1.74 |
Drawdowns
BAGY vs. GOOY - Drawdown Comparison
The maximum BAGY drawdown since its inception was -47.52%, which is greater than GOOY's maximum drawdown of -24.40%. Use the drawdown chart below to compare losses from any high point for BAGY and GOOY.
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Drawdown Indicators
| BAGY | GOOY | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -47.52% | -24.40% | -23.12% |
Max Drawdown (1Y)Largest decline over 1 year | -47.52% | -16.15% | -31.37% |
Current DrawdownCurrent decline from peak | -45.06% | -8.61% | -36.45% |
Average DrawdownAverage peak-to-trough decline | -19.61% | -6.26% | -13.35% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 26.28% | 4.20% | +22.08% |
Volatility
BAGY vs. GOOY - Volatility Comparison
Amplify Bitcoin Max Income Covered Call ETF (BAGY) has a higher volatility of 9.89% compared to YieldMax GOOGL Option Income Strategy ETF (GOOY) at 6.90%. This indicates that BAGY's price experiences larger fluctuations and is considered to be riskier than GOOY based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
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Volatility by Period
| BAGY | GOOY | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 9.89% | 6.90% | +2.99% |
Volatility (6M)Calculated over the trailing 6-month period | 33.39% | 17.19% | +16.20% |
Volatility (1Y)Calculated over the trailing 1-year period | 41.93% | 23.19% | +18.74% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 40.86% | 23.31% | +17.55% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 40.86% | 23.31% | +17.55% |
BAGY vs. GOOY - Expense Ratio Comparison
BAGY has a 0.65% expense ratio, which is lower than GOOY's 0.99% expense ratio.
Dividends
BAGY vs. GOOY - Dividend Comparison
BAGY's dividend yield for the trailing twelve months is around 58.25%, more than GOOY's 50.99% yield.
| Position | TTM | 2025 | 2024 | 2023 |
|---|---|---|---|---|
BAGY Amplify Bitcoin Max Income Covered Call ETF | 58.25% | 30.16% | 0.00% | 0.00% |
GOOY YieldMax GOOGL Option Income Strategy ETF | 50.99% | 41.50% | 36.74% | 7.90% |
Frequently Asked Questions
BAGY and GOOY have a correlation of 0.27, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
BAGY has higher volatility (9.89%) compared to GOOY (6.90%). In terms of maximum drawdown, BAGY dropped -47.52% vs GOOY's -24.40%.
On 1-year performance, GOOY leads with 88.26% vs -37.04% for BAGY. On fees, BAGY is cheaper at 0.65% per year. On volatility, GOOY has been the lower-risk option at 6.90%. The better choice depends on whether you care most about return, fees, risk, or income.
Over the 1-year period, GOOY has performed better with a 88.26% return vs -37.04%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.
BAGY is cheaper with a 0.65% expense ratio, compared with 0.99% for GOOY.
BAGY has the higher dividend yield at 58.25%, compared with 50.99% for GOOY.
They also come from different issuers: Amplify and YieldMax. Their fees differ too: 0.65% for BAGY and 0.99% for GOOY.
GOOY currently has the higher Sharpe Ratio (3.84 vs -0.89), meaning it's delivered slightly more return per unit of risk over the trailing 12 months. However, this ranking shifts over time - use the Risk/Return Score above for a more comprehensive view that combines Sharpe, Sortino, and other measures used by quantitative funds.
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