FBY vs. QQQI
FBY (YieldMax META Option Income ETF) and QQQI (NEOS Nasdaq-100 High Income ETF) are both exchange-traded funds - FBY is a Derivative Income fund actively managed by YieldMax, while QQQI is a Nasdaq-100 fund actively managed by Neos. Both are actively managed. Over the past year, FBY returned -17.63% vs 24.88% for QQQI. A 0.59 correlation means they provide meaningful diversification when combined. FBY charges 0.99%/yr vs 0.68%/yr for QQQI.
Performance
FBY vs. QQQI - Performance Comparison
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Returns By Period
In the year-to-date period, FBY achieves a -13.50% return, which is significantly lower than QQQI's 9.86% return.
FBY
- 1D
- -0.06%
- 1M
- -7.14%
- YTD
- -13.50%
- 6M
- -13.67%
- 1Y
- -17.63%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
QQQI
- 1D
- -2.87%
- 1M
- -0.93%
- YTD
- 9.86%
- 6M
- 8.75%
- 1Y
- 24.88%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
FBY vs. QQQI - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | |
|---|---|---|---|
FBY YieldMax META Option Income ETF | -13.50% | 1.98% | 33.85% |
QQQI NEOS Nasdaq-100 High Income ETF | 9.86% | 18.62% | 19.44% |
Correlation
The correlation between FBY and QQQI is 0.56, 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 | 0.56 |
Correlation (All Time) Calculated using the full available price history since Jan 30, 2024 | 0.59 |
The correlation between FBY and QQQI has been stable across timeframes, ranging from 0.56 to 0.59 - a consistent structural relationship.
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Return for Risk
FBY vs. QQQI — Risk / Return Rank
FBY
QQQI
FBY vs. QQQI - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for YieldMax META Option Income ETF (FBY) 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.
| FBY | QQQI | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | -2.29 | ||
| Sortino ratioReturn per unit of downside risk | -2.93 | ||
| Omega ratioGain probability vs. loss probability | 0.91 | 1.32 | -0.41 |
| Calmar ratioReturn relative to maximum drawdown | -0.60 | 2.60 | -3.20 |
| Martin ratioReturn relative to average drawdown | -1.22 | 11.10 | -12.33 |
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Drawdowns
FBY vs. QQQI - Drawdown Comparison
The maximum FBY drawdown since its inception was -31.53%, which is greater than QQQI's maximum drawdown of -20.00%. Use the drawdown chart below to compare losses from any high point for FBY and QQQI.
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Drawdown Indicators
| FBY | QQQI | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -31.53% | -20.00% | -11.53% |
Max Drawdown (1Y)Largest decline over 1 year | -29.50% | -9.61% | -19.89% |
Current DrawdownCurrent decline from peak | -25.66% | -3.32% | -22.34% |
Average DrawdownAverage peak-to-trough decline | -8.09% | -2.20% | -5.89% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 14.46% | 2.25% | +12.21% |
Volatility
FBY vs. QQQI - Volatility Comparison
YieldMax META Option Income ETF (FBY) has a higher volatility of 10.24% compared to NEOS Nasdaq-100 High Income ETF (QQQI) at 7.63%. This indicates that FBY'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
| FBY | QQQI | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 10.24% | 7.63% | +2.61% |
Volatility (6M)Calculated over the trailing 6-month period | 23.30% | 11.99% | +11.31% |
Volatility (1Y)Calculated over the trailing 1-year period | 29.60% | 14.79% | +14.81% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 28.65% | 17.53% | +11.12% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 28.65% | 17.53% | +11.12% |
FBY vs. QQQI - Expense Ratio Comparison
FBY has a 0.99% expense ratio, which is higher than QQQI's 0.68% expense ratio.
Dividends
FBY vs. QQQI - Dividend Comparison
FBY's dividend yield for the trailing twelve months is around 57.98%, more than QQQI's 14.97% yield.
| Position | TTM | 2025 | 2024 | 2023 |
|---|---|---|---|---|
FBY YieldMax META Option Income ETF | 57.98% | 55.43% | 53.89% | 8.31% |
QQQI NEOS Nasdaq-100 High Income ETF | 14.97% | 13.82% | 12.85% | 0.00% |
Frequently Asked Questions
FBY and QQQI have a correlation of 0.56, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
FBY has higher volatility (10.24%) compared to QQQI (7.63%). In terms of maximum drawdown, FBY dropped -31.53% vs QQQI's -20.00%.
On 1-year performance, QQQI leads with 24.88% vs -17.63% for FBY. On fees, QQQI is cheaper at 0.68% 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 -17.63%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.
QQQI is cheaper with a 0.68% expense ratio, compared with 0.99% for FBY.
FBY has the higher dividend yield at 57.98%, compared with 14.97% for QQQI.
FBY is categorized as Derivative Income, while QQQI is Nasdaq-100. They also come from different issuers: YieldMax and Neos. Their fees differ too: 0.99% for FBY and 0.68% for QQQI.
QQQI currently has the higher Sharpe Ratio (1.69 vs -0.60), 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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