BAGY vs. QQQI
BAGY (Amplify Bitcoin Max Income Covered Call ETF) and QQQI (NEOS Nasdaq-100 High Income ETF) are both exchange-traded funds - BAGY is a Derivative Income fund actively managed by Amplify, while QQQI is a Nasdaq-100 fund actively managed by Neos. Both are actively managed. Over the past year, BAGY returned -38.64% vs 24.88% for QQQI. A 0.51 correlation means they provide meaningful diversification when combined. BAGY charges 0.65%/yr vs 0.68%/yr for QQQI.
Performance
BAGY vs. QQQI - Performance Comparison
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Returns By Period
In the year-to-date period, BAGY achieves a -25.28% return, which is significantly lower than QQQI's 9.86% return.
BAGY
- 1D
- -3.61%
- 1M
- -18.40%
- YTD
- -25.28%
- 6M
- -25.26%
- 1Y
- -38.64%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
QQQI
- 1D
- -2.87%
- 1M
- -0.93%
- YTD
- 9.86%
- 6M
- 8.75%
- 1Y
- 24.88%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
BAGY vs. QQQI - Yearly Performance Comparison
| 2026 (YTD) | 2025 | |
|---|---|---|
BAGY Amplify Bitcoin Max Income Covered Call ETF | -25.28% | -8.33% |
QQQI NEOS Nasdaq-100 High Income ETF | 9.86% | 25.05% |
Correlation
The correlation between BAGY and QQQI is 0.51, which is moderate. They share some common price drivers but move independently often enough to provide real diversification benefit when combined.
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.51 |
Correlation (All Time) Calculated using the full available price history since Apr 29, 2025 | 0.51 |
The correlation between BAGY and QQQI has been stable across timeframes, ranging from 0.51 to 0.51 - a consistent structural relationship.
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Return for Risk
BAGY vs. QQQI — Risk / Return Rank
BAGY
QQQI
BAGY vs. QQQI - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for Amplify Bitcoin Max Income Covered Call ETF (BAGY) and NEOS Nasdaq-100 High Income ETF (QQQI). 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.
Values are calculated on a 1-year rolling basis and updated daily. Risk-adjusted metrics are more stable over longer periods — use the period switch above to explore them.
| BAGY | QQQI | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | -2.60 | ||
| Sortino ratioReturn per unit of downside risk | -3.49 | ||
| Omega ratioGain probability vs. loss probability | 0.86 | 1.32 | -0.46 |
| Calmar ratioReturn relative to maximum drawdown | -0.78 | 2.60 | -3.38 |
| Martin ratioReturn relative to average drawdown | -1.37 | 11.10 | -12.47 |
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Drawdowns
BAGY vs. QQQI - Drawdown Comparison
The maximum BAGY drawdown since its inception was -49.84%, which is greater than QQQI's maximum drawdown of -20.00%. Use the drawdown chart below to compare losses from any high point for BAGY and QQQI.
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Drawdown Indicators
| BAGY | QQQI | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -49.84% | -20.00% | -29.84% |
Max Drawdown (1Y)Largest decline over 1 year | -49.84% | -9.61% | -40.23% |
Current DrawdownCurrent decline from peak | -47.43% | -3.32% | -44.11% |
Average DrawdownAverage peak-to-trough decline | -20.76% | -2.20% | -18.56% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 28.33% | 2.25% | +26.08% |
Volatility
BAGY vs. QQQI - Volatility Comparison
Amplify Bitcoin Max Income Covered Call ETF (BAGY) has a higher volatility of 14.04% compared to NEOS Nasdaq-100 High Income ETF (QQQI) at 7.63%. This indicates that BAGY's price experiences larger fluctuations and is considered to be riskier than QQQI based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
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Volatility by Period
| BAGY | QQQI | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 14.04% | 7.63% | +6.41% |
Volatility (6M)Calculated over the trailing 6-month period | 33.99% | 11.99% | +22.00% |
Volatility (1Y)Calculated over the trailing 1-year period | 42.91% | 14.79% | +28.12% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 41.30% | 17.53% | +23.77% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 41.30% | 17.53% | +23.77% |
BAGY vs. QQQI - Expense Ratio Comparison
BAGY has a 0.65% expense ratio, which is lower than QQQI's 0.68% expense ratio.
Dividends
BAGY vs. QQQI - Dividend Comparison
BAGY's dividend yield for the trailing twelve months is around 60.88%, more than QQQI's 14.97% yield.
| Position | TTM | 2025 | 2024 |
|---|---|---|---|
BAGY Amplify Bitcoin Max Income Covered Call ETF | 60.88% | 30.16% | 0.00% |
QQQI NEOS Nasdaq-100 High Income ETF | 14.97% | 13.82% | 12.85% |
Frequently Asked Questions
BAGY and QQQI have a correlation of 0.51, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
BAGY has higher volatility (14.04%) compared to QQQI (7.63%). In terms of maximum drawdown, BAGY dropped -49.84% vs QQQI's -20.00%.
On 1-year performance, QQQI leads with 24.88% vs -38.64% for BAGY. On fees, BAGY is cheaper at 0.65% per year. On volatility, QQQI has been the lower-risk option at 7.63%. The better choice depends on whether you care most about return, fees, risk, or income.
Over the 1-year period, QQQI has performed better with a 24.88% return vs -38.64%. 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 0.68% for QQQI.
BAGY has the higher dividend yield at 60.88%, compared with 14.97% for QQQI.
BAGY is categorized as Derivative Income, while QQQI is Nasdaq-100. They also come from different issuers: Amplify and Neos. Their fees differ too: 0.65% for BAGY and 0.68% for QQQI.
QQQI currently has the higher Sharpe Ratio (1.69 vs -0.90), 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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