PortfoliosLab logoPortfoliosLab logo
QDTY vs. GPIQ
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

QDTY vs. GPIQ - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in YieldMax Nasdaq 100 0DTE Covered Call Strategy ETF (QDTY) and Goldman Sachs Nasdaq-100 Core Premium Income ETF (GPIQ). The values are adjusted to include any dividend payments, if applicable.

Loading charts...

Returns By Period

In the year-to-date period, QDTY achieves a 11.90% return, which is significantly lower than GPIQ's 14.86% return.


QDTY

1D
-2.95%
1M
-0.01%
YTD
11.90%
6M
10.72%
1Y
32.82%
3Y*
5Y*
10Y*

GPIQ

1D
-2.96%
1M
-0.00%
YTD
14.86%
6M
13.78%
1Y
32.06%
3Y*
5Y*
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

QDTY vs. GPIQ - Yearly Performance Comparison


Correlation

The correlation between QDTY and GPIQ is 0.93, indicating a strong positive relationship between their price movements. Combining them offers limited diversification - they tend to fall together during downturns.


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

0.93

Correlation (All Time)
Calculated using the full available price history since Feb 13, 2025

0.92

The correlation between QDTY and GPIQ has been stable across timeframes, ranging from 0.92 to 0.93 - a consistent structural relationship.

QDTY vs. GPIQ - Sectors Allocation Comparison


Sectors
QDTY
GPIQ

Technology

58.5%
58.7%

Communication Services

14.3%
14.1%

Consumer Cyclical

11.4%
11.6%

Consumer Defensive

6.4%
6.4%

Healthcare

3.7%
3.6%

Industrials

2.8%
2.6%

Utilities

1.2%
1.3%

Basic Materials

1.0%
1.0%

Energy

0.5%
0.5%

Financial Services

0.2%
0.2%

Real Estate

0.1%
0.1%

Technology

QDTY
58.5%
GPIQ
58.7%

Communication Services

QDTY
14.3%
GPIQ
14.1%

Consumer Cyclical

QDTY
11.4%
GPIQ
11.6%

Consumer Defensive

QDTY
6.4%
GPIQ
6.4%

Healthcare

QDTY
3.7%
GPIQ
3.6%

Industrials

QDTY
2.8%
GPIQ
2.6%

Utilities

QDTY
1.2%
GPIQ
1.3%

Basic Materials

QDTY
1.0%
GPIQ
1.0%

Energy

QDTY
0.5%
GPIQ
0.5%

Financial Services

QDTY
0.2%
GPIQ
0.2%

Real Estate

QDTY
0.1%
GPIQ
0.1%

Compare stocks, funds, or ETFs

Search for stocks, ETFs, and funds for a quick comparison or use the comparison tool for more options.


Return for Risk

QDTY vs. GPIQ — Risk / Return Rank

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

QDTY
QDTY Risk / Return Rank: 6060
Overall Rank
QDTY Sharpe Ratio Rank: 6161
Sharpe Ratio Rank
QDTY Sortino Ratio Rank: 5555
Sortino Ratio Rank
QDTY Omega Ratio Rank: 5858
Omega Ratio Rank
QDTY Calmar Ratio Rank: 6363
Calmar Ratio Rank
QDTY Martin Ratio Rank: 6161
Martin Ratio Rank

GPIQ
GPIQ Risk / Return Rank: 6969
Overall Rank
GPIQ Sharpe Ratio Rank: 6868
Sharpe Ratio Rank
GPIQ Sortino Ratio Rank: 6262
Sortino Ratio Rank
GPIQ Omega Ratio Rank: 6868
Omega Ratio Rank
GPIQ Calmar Ratio Rank: 7070
Calmar Ratio Rank
GPIQ Martin Ratio Rank: 7777
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.

QDTY vs. GPIQ - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for YieldMax Nasdaq 100 0DTE Covered Call Strategy ETF (QDTY) and Goldman Sachs Nasdaq-100 Core Premium Income ETF (GPIQ). 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.


QDTYGPIQDifference
Sharpe ratioReturn per unit of total volatility

-0.19

Sortino ratioReturn per unit of downside risk

-0.27

Omega ratioGain probability vs. loss probability

1.34

1.39

-0.05

Calmar ratioReturn relative to maximum drawdown

2.97

3.38

-0.41

Martin ratioReturn relative to average drawdown

10.47

14.28

-3.81

QDTY vs. GPIQ - Sharpe Ratio Comparison

The current QDTY Sharpe Ratio is 1.94, which is comparable to the GPIQ Sharpe Ratio of 2.12. The chart below compares the historical Sharpe Ratios of QDTY and GPIQ, calculated using daily returns over the previous 12 months. A higher Sharpe Ratio indicates better risk-adjusted performance relative to the risk-free rate.


Loading charts...

Drawdowns

QDTY vs. GPIQ - Drawdown Comparison

The maximum QDTY drawdown since its inception was -23.45%, which is greater than GPIQ's maximum drawdown of -21.06%. Use the drawdown chart below to compare losses from any high point for QDTY and GPIQ.


Loading charts...

Drawdown Indicators


QDTYGPIQDifference

Max Drawdown

Largest peak-to-trough decline

-23.45%

-21.06%

-2.39%

Max Drawdown (1Y)

Largest decline over 1 year

-11.10%

-9.51%

-1.59%

Current Drawdown

Current decline from peak

-3.84%

-3.21%

-0.63%

Average Drawdown

Average peak-to-trough decline

-4.43%

-2.27%

-2.16%

Ulcer Index

Depth and duration of drawdowns from previous peaks

3.14%

2.25%

+0.89%

Volatility

QDTY vs. GPIQ - Volatility Comparison

YieldMax Nasdaq 100 0DTE Covered Call Strategy ETF (QDTY) has a higher volatility of 8.42% compared to Goldman Sachs Nasdaq-100 Core Premium Income ETF (GPIQ) at 7.78%. This indicates that QDTY's price experiences larger fluctuations and is considered to be riskier than GPIQ based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


Loading charts...

Volatility by Period


QDTYGPIQDifference

Volatility (1M)

Calculated over the trailing 1-month period

8.42%

7.78%

+0.64%

Volatility (6M)

Calculated over the trailing 6-month period

13.81%

12.52%

+1.29%

Volatility (1Y)

Calculated over the trailing 1-year period

17.02%

15.17%

+1.85%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

26.25%

17.88%

+8.37%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

26.25%

17.88%

+8.37%

QDTY vs. GPIQ - Expense Ratio Comparison

QDTY has a 1.01% expense ratio, which is higher than GPIQ's 0.29% expense ratio.


Dividends

QDTY vs. GPIQ - Dividend Comparison

QDTY's dividend yield for the trailing twelve months is around 31.83%, more than GPIQ's 9.60% yield.


PositionTTM202520242023
GPIQ
Goldman Sachs Nasdaq-100 Core Premium Income ETF
9.60%9.81%9.18%1.74%
QDTY
YieldMax Nasdaq 100 0DTE Covered Call Strategy ETF
31.83%26.82%0.00%0.00%

Frequently Asked Questions


With a correlation of 0.93, QDTY and GPIQ 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.

QDTY has higher volatility (8.42%) compared to GPIQ (7.78%). In terms of maximum drawdown, QDTY dropped -23.45% vs GPIQ's -21.06%.

On 1-year performance, QDTY leads with 32.82% vs 32.06% for GPIQ. On fees, GPIQ is cheaper at 0.29% per year. On volatility, GPIQ has been the lower-risk option at 7.78%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 1-year period, QDTY has performed better with a 32.82% return vs 32.06%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

GPIQ is cheaper with a 0.29% expense ratio, compared with 1.01% for QDTY.

QDTY has the higher dividend yield at 31.83%, compared with 9.60% for GPIQ.

They also come from different issuers: YieldMax and Goldman Sachs. Their fees differ too: 1.01% for QDTY and 0.29% for GPIQ.

GPIQ currently has the higher Sharpe Ratio (2.12 vs 1.94), 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 QDTY and GPIQ

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

Open Portfolio Optimizer