SOXY vs. QQQI

Last updated Aug 4, 2026

SOXY (YieldMax Target 12™ Semiconductor Option Income ETF) and QQQI (NEOS Nasdaq-100 High Income ETF) are both exchange-traded funds - SOXY 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, SOXY returned 95.22% vs 19.72% for QQQI. Their correlation of 0.86 means they have usually moved in the same direction. SOXY charges 1.06%/yr vs 0.68%/yr for QQQI.

Performance

SOXY vs. QQQI - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in YieldMax Target 12™ Semiconductor Option Income ETF (SOXY) and NEOS Nasdaq-100 High Income ETF (QQQI). The values are adjusted to include any dividend payments, if applicable.

Returns By Period

In the year-to-date period, SOXY achieves a 59.66% return, which is significantly higher than QQQI's 8.51% return.

SOXY

• 1D: 0.84%
• 1M: -11.28%
• 6M: 41.13%
• YTD: 59.66%
• 1Y: 95.22%
• 3Y*: —
• 5Y*: —
• 10Y*: —
• ALL TIME*: 59.08%

QQQI

• 1D: 1.51%
• 1M: -1.62%
• 6M: 6.55%
• YTD: 8.51%
• 1Y: 19.72%
• 3Y*: —
• 5Y*: —
• 10Y*: —
• ALL TIME*: 18.71%

*Multi-year figures are annualized to reflect compound growth (CAGR)

Liquidity Comparison

Position	Avg. Volume Value (2W)	Avg. Volume Value (1M)	Avg. Volume Value (3M)
QQQI NEOS Nasdaq-100 High Income ETF	$330.38M	$327.04M	$357.36M
SOXY YieldMax Target 12™ Semiconductor Option Income ETF	$2.13M	$2.40M	$2.09M

SOXY vs. QQQI - Yearly Performance Comparison

	2026 (YTD)	2025	2024
SOXY YieldMax Target 12™ Semiconductor Option Income ETF	59.66%	37.00%	-0.99%
QQQI NEOS Nasdaq-100 High Income ETF	8.51%	18.62%	0.23%

Correlation

The correlation between SOXY and QQQI is 0.85, meaning they have usually moved in the same direction, including during past declines.

	Correlation
Correlation (1Y) Focuses on recent behavior, but can change the most.	0.85
Correlation (All Time) Calculated using the full available price history since Dec 3, 2024	0.86

The correlation between SOXY and QQQI has been stable across timeframes, ranging from 0.85 to 0.86 - a consistent structural relationship.

SOXY vs. QQQI - Sectors Allocation Comparison

Sectors	SOXY	QQQI
Technology	100.0%	59.9%
Financial Services	0.1%	0.2%
Consumer Defensive	0.0%	6.5%
Healthcare	0.0%	3.7%
Industrials	0.0%	4.3%
Basic Materials	0.0%	1.1%
Energy	0.0%	0.5%
Communication Services	0.0%	12.1%
Consumer Cyclical	0.0%	10.0%
Utilities	0.0%	1.2%
Real Estate	-	0.1%

Return for Risk

SOXY vs. QQQI — Risk / Return Rank

Compare historical risk-adjusted metric ranks over the past 12 months.

SOXY

SOXY Risk / Return Rank: 87
SOXY Sharpe Ratio Rank: 92
SOXY Sortino Ratio Rank: 84
SOXY Omega Ratio Rank: 85
SOXY Calmar Ratio Rank: 85
SOXY Martin Ratio Rank: 90

QQQI

QQQI Risk / Return Rank: 52
QQQI Sharpe Ratio Rank: 48
QQQI Sortino Ratio Rank: 46
QQQI Omega Ratio Rank: 48
QQQI Calmar Ratio Rank: 57
QQQI Martin Ratio Rank: 60

The rank (0–100) uses a weighted average of the Sharpe, Sortino, Omega, Calmar, and Martin percentile ranks for the trailing 12 months. Higher means stronger historical risk-adjusted performance within the peer group.

SOXY vs. QQQI - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for YieldMax Target 12™ Semiconductor Option Income ETF (SOXY) 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.

	SOXY	QQQI	Difference
Sharpe ratio: Return per unit of total volatility	2.41	1.21	+1.19
Sortino ratio: Return per unit of downside risk	2.81	1.71	+1.11
Omega ratio: Gain probability vs. loss probability	1.38	1.22	+0.16
Calmar ratio: Return relative to maximum drawdown	3.35	2.06	+1.29
Martin ratio: Return relative to average drawdown	14.82	7.38	+7.44

SOXY vs. QQQI - Sharpe Ratio Comparison

The current SOXY Sharpe Ratio is 2.41, which is higher than the QQQI Sharpe Ratio of 1.21. The chart below compares the historical Sharpe Ratios of SOXY and QQQI, calculated using daily returns over the previous 12 months. A higher Sharpe Ratio indicates better risk-adjusted performance relative to the risk-free rate.

Drawdowns

SOXY vs. QQQI - Drawdown Comparison

The maximum SOXY drawdown since its inception was -30.22%, which is greater than QQQI's maximum drawdown of -20.00%. Use the drawdown chart below to compare losses from any high point for SOXY and QQQI.

Drawdown Indicators

	SOXY	QQQI	Difference
Max Drawdown Largest peak-to-trough decline	-30.22%	-20.00%	-10.22%
Max Drawdown (1Y) Largest decline over 1 year	-28.56%	-9.61%	-18.95%
Current Drawdown Current decline from peak	-21.05%	-4.50%	-16.55%
Average Drawdown Average peak-to-trough decline	-5.53%	-2.28%	-3.25%
Ulcer Index Depth and duration of drawdowns from previous peaks	6.45%	2.68%	+3.77%

Volatility

SOXY vs. QQQI - Volatility Comparison

YieldMax Target 12™ Semiconductor Option Income ETF (SOXY) has a higher volatility of 17.94% compared to NEOS Nasdaq-100 High Income ETF (QQQI) at 6.60%. This indicates that SOXY'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.

Volatility by Period

	SOXY	QQQI	Difference
Volatility (1M) Calculated over the trailing 1-month period	17.94%	6.60%	+11.34%
Volatility (6M) Calculated over the trailing 6-month period	35.55%	13.71%	+21.84%
Volatility (1Y) Calculated over the trailing 1-year period	39.88%	16.35%	+23.53%
Volatility (5Y) Calculated over the trailing 5-year period, annualized	39.26%	17.76%	+21.50%
Volatility (10Y) Calculated over the trailing 10-year period, annualized	39.26%	17.76%	+21.50%

SOXY vs. QQQI - Expense Ratio Comparison

SOXY has a 1.06% expense ratio, which is higher than QQQI's 0.68% expense ratio.

Dividends

SOXY vs. QQQI - Dividend Comparison

SOXY's dividend yield for the trailing twelve months is around 9.34%, less than QQQI's 14.16% yield.

Position	TTM	2025	2024
QQQI NEOS Nasdaq-100 High Income ETF	14.16%	13.82%	12.85%
SOXY YieldMax Target 12™ Semiconductor Option Income ETF	9.34%	11.47%	0.00%

Frequently Asked Questions

Can I hold both SOXY and QQQI in my portfolio?

SOXY and QQQI have a correlation of 0.85, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

Which is riskier, SOXY or QQQI?

SOXY has higher volatility (17.94%) compared to QQQI (6.60%). In terms of maximum drawdown, SOXY dropped -30.22% vs QQQI's -20.00%.

Which ETF is better, SOXY or QQQI?

On 1-year performance, SOXY leads with 95.22% vs 19.72% for QQQI. On fees, QQQI is cheaper at 0.68% per year. On volatility, QQQI has been the lower-risk option at 6.60%. The better choice depends on whether you care most about return, fees, risk, or income.

Which ETF has performed better, SOXY or QQQI?

Over the 1-year period, SOXY has performed better with a 95.22% return vs 19.72%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

Which ETF is cheaper, SOXY or QQQI?

QQQI is cheaper with a 0.68% expense ratio, compared with 1.06% for SOXY.

Which ETF pays a higher dividend yield, SOXY or QQQI?

QQQI has the higher dividend yield at 14.16%, compared with 9.34% for SOXY.

What is the main difference between SOXY and QQQI?

SOXY is categorized as Derivative Income, while QQQI is Nasdaq-100. They also come from different issuers: YieldMax and Neos. Their fees differ too: 1.06% for SOXY and 0.68% for QQQI.

Which has better risk-adjusted returns?

SOXY currently has the higher Sharpe Ratio (2.41 vs 1.21), 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.