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QQQI vs. QDTE
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

QQQI vs. QDTE - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in NEOS Nasdaq-100 High Income ETF (QQQI) and Roundhill Innovation-100 0DTE Covered Call Strategy ETF (QDTE). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, QQQI achieves a 13.04% return, which is significantly lower than QDTE's 16.06% return.


QQQI

1D
-0.35%
1M
5.60%
YTD
13.04%
6M
12.57%
1Y
29.68%
3Y*
5Y*
10Y*

QDTE

1D
-0.45%
1M
7.12%
YTD
16.06%
6M
15.73%
1Y
39.17%
3Y*
5Y*
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

QQQI vs. QDTE - Yearly Performance Comparison


2026 (YTD)20252024
QQQI
NEOS Nasdaq-100 High Income ETF
13.04%18.62%15.03%
QDTE
Roundhill Innovation-100 0DTE Covered Call Strategy ETF
16.06%19.32%16.07%

Correlation

The correlation between QQQI and QDTE is 0.97 - these two move nearly in lockstep. At this level, holding both provides almost no diversification benefit. If you already own one, adding the other does little to reduce portfolio risk.


Correlation
Correlation (1Y)
Calculated over the trailing 1-year period

0.97

Correlation (All Time)
Calculated using the full available price history since Mar 8, 2024

0.97

The correlation between QQQI and QDTE has been stable across timeframes, ranging from 0.97 to 0.97 - a consistent structural relationship.

QQQI vs. QDTE - Sectors Allocation Comparison


Sectors
QQQI
QDTE

Technology

53.3%

-

Communication Services

15.7%

-

Consumer Cyclical

12.1%

-

Consumer Defensive

7.7%

-

Healthcare

4.3%

-

Industrials

3.3%

-

Utilities

1.5%

-

Basic Materials

1.2%

-

Energy

0.7%

-

Financial Services

0.3%
5.4%

Real Estate

0.1%

-

Technology

QQQI
53.3%
QDTE

-

Communication Services

QQQI
15.7%
QDTE

-

Consumer Cyclical

QQQI
12.1%
QDTE

-

Consumer Defensive

QQQI
7.7%
QDTE

-

Healthcare

QQQI
4.3%
QDTE

-

Industrials

QQQI
3.3%
QDTE

-

Utilities

QQQI
1.5%
QDTE

-

Basic Materials

QQQI
1.2%
QDTE

-

Energy

QQQI
0.7%
QDTE

-

Financial Services

QQQI
0.3%
QDTE
5.4%

Real Estate

QQQI
0.1%
QDTE

-

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Return for Risk

QQQI vs. QDTE — Risk / Return Rank

Compare risk-adjusted metric ranks to identify better-performing investments over the past 12 months.

QQQI
QQQI Risk / Return Rank: 7070
Overall Rank
QQQI Sharpe Ratio Rank: 7272
Sharpe Ratio Rank
QQQI Sortino Ratio Rank: 6868
Sortino Ratio Rank
QQQI Omega Ratio Rank: 7272
Omega Ratio Rank
QQQI Calmar Ratio Rank: 6363
Calmar Ratio Rank
QQQI Martin Ratio Rank: 7474
Martin Ratio Rank

QDTE
QDTE Risk / Return Rank: 7979
Overall Rank
QDTE Sharpe Ratio Rank: 8282
Sharpe Ratio Rank
QDTE Sortino Ratio Rank: 7777
Sortino Ratio Rank
QDTE Omega Ratio Rank: 7878
Omega Ratio Rank
QDTE Calmar Ratio Rank: 7777
Calmar Ratio Rank
QDTE Martin Ratio Rank: 8080
Martin Ratio Rank
The rank (0–100) shows how this investment's returns compare to the risk taken. Higher = better. Based on the past 12 months of data, combining Sharpe, Sortino, and other metrics used by quantitative funds and institutional investors.

QQQI vs. QDTE - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for NEOS Nasdaq-100 High Income ETF (QQQI) and Roundhill Innovation-100 0DTE Covered Call Strategy ETF (QDTE). 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.


QQQIQDTEDifference
Sharpe ratioReturn per unit of total volatility

-0.36

Sortino ratioReturn per unit of downside risk

-0.36

Omega ratioGain probability vs. loss probability

1.42

1.46

-0.04

Calmar ratioReturn relative to maximum drawdown

3.10

3.86

-0.76

Martin ratioReturn relative to average drawdown

13.93

15.60

-1.67

QQQI vs. QDTE - Sharpe Ratio Comparison

The current QQQI Sharpe Ratio is 2.30, which is comparable to the QDTE Sharpe Ratio of 2.66. The chart below compares the historical Sharpe Ratios of QQQI and QDTE, calculated using daily returns over the previous 12 months. A higher Sharpe Ratio indicates better risk-adjusted performance relative to the risk-free rate.


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Sharpe Ratios by Period


QQQIQDTEDifference

Sharpe Ratio (1Y)

Calculated over the trailing 1-year period

2.30

2.66

-0.36

Sharpe Ratio (All Time)

Calculated using the full available price history

1.32

1.29

+0.03

Drawdowns

QQQI vs. QDTE - Drawdown Comparison

The maximum QQQI drawdown since its inception was -20.00%, smaller than the maximum QDTE drawdown of -22.86%. Use the drawdown chart below to compare losses from any high point for QQQI and QDTE.


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Drawdown Indicators


QQQIQDTEDifference

Max Drawdown

Largest peak-to-trough decline

-20.00%

-22.86%

+2.86%

Max Drawdown (1Y)

Largest decline over 1 year

-9.61%

-10.20%

+0.59%

Current Drawdown

Current decline from peak

-0.52%

-0.60%

+0.08%

Average Drawdown

Average peak-to-trough decline

-2.19%

-3.14%

+0.95%

Ulcer Index

Depth and duration of drawdowns from previous peaks

2.14%

2.52%

-0.38%

Volatility

QQQI vs. QDTE - Volatility Comparison

The current volatility for NEOS Nasdaq-100 High Income ETF (QQQI) is 2.69%, while Roundhill Innovation-100 0DTE Covered Call Strategy ETF (QDTE) has a volatility of 3.72%. This indicates that QQQI experiences smaller price fluctuations and is considered to be less risky than QDTE based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


QQQIQDTEDifference

Volatility (1M)

Calculated over the trailing 1-month period

2.69%

3.72%

-1.03%

Volatility (6M)

Calculated over the trailing 6-month period

9.85%

11.01%

-1.16%

Volatility (1Y)

Calculated over the trailing 1-year period

12.98%

14.81%

-1.83%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

17.05%

18.42%

-1.37%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

17.05%

18.42%

-1.37%

QQQI vs. QDTE - Expense Ratio Comparison

QQQI has a 0.68% expense ratio, which is lower than QDTE's 0.97% expense ratio.


Dividends

QQQI vs. QDTE - Dividend Comparison

QQQI's dividend yield for the trailing twelve months is around 13.24%, less than QDTE's 43.41% yield.


PositionTTM20252024
QDTE
Roundhill Innovation-100 0DTE Covered Call Strategy ETF
43.41%49.49%32.09%
QQQI
NEOS Nasdaq-100 High Income ETF
13.24%13.82%12.85%

Frequently Asked Questions


With a correlation of 0.97, QQQI and QDTE move almost identically. Holding both adds very little diversification - you're essentially doubling your position in the same market segment. Choosing one is usually more capital-efficient.

QDTE has higher volatility (3.72%) compared to QQQI (2.69%). In terms of maximum drawdown, QQQI dropped -20.00% vs QDTE's -22.86%.

On 1-year performance, QDTE leads with 39.17% vs 29.68% for QQQI. On fees, QQQI is cheaper at 0.68% per year. On volatility, QQQI has been the lower-risk option at 2.69%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 1-year period, QDTE has performed better with a 39.17% return vs 29.68%. 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 0.97% for QDTE.

QDTE has the higher dividend yield at 43.41%, compared with 13.24% for QQQI.

QQQI is categorized as Nasdaq-100, while QDTE is Derivative Income. They also come from different issuers: Neos and Roundhill. Their fees differ too: 0.68% for QQQI and 0.97% for QDTE.

QDTE currently has the higher Sharpe Ratio (2.66 vs 2.30), 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.

Portfolio Optimizer

Find the right allocation for QQQI and QDTE

Add both to a portfolio and optimize allocations for your target — whether that's maximizing returns, minimizing drawdowns, or balancing risk across holdings.

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