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QQQI vs. SPXL
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

QQQI vs. SPXL - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in NEOS Nasdaq-100 High Income ETF (QQQI) and Direxion Daily S&P 500 Bull 3X ETF (SPXL). 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 8.96% return, which is significantly lower than SPXL's 14.56% return.


QQQI

1D
-1.16%
1M
-3.32%
YTD
8.96%
6M
7.56%
1Y
21.58%
3Y*
5Y*
10Y*

SPXL

1D
-2.28%
1M
-11.42%
YTD
14.56%
6M
10.31%
1Y
48.17%
3Y*
44.34%
5Y*
19.91%
10Y*
30.05%
*Multi-year figures are annualized to reflect compound growth (CAGR)

QQQI vs. SPXL - Yearly Performance Comparison


2026 (YTD)20252024
QQQI
NEOS Nasdaq-100 High Income ETF
8.96%18.62%19.44%
SPXL
Direxion Daily S&P 500 Bull 3X ETF
14.56%31.94%50.06%

Correlation

The correlation between QQQI and SPXL is 0.94, 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

0.94

Correlation (All Time)
Calculated using the full available price history since Jan 30, 2024

0.93

The correlation between QQQI and SPXL has been stable across timeframes, ranging from 0.93 to 0.94 - a consistent structural relationship.

QQQI vs. SPXL - Sectors Allocation Comparison


Sectors
QQQI
SPXL

Technology

60.2%
39.0%

Communication Services

12.9%
10.6%

Consumer Cyclical

10.1%
9.9%

Consumer Defensive

6.5%
4.5%

Healthcare

3.7%
8.3%

Industrials

3.5%
7.8%

Utilities

1.2%
2.1%

Basic Materials

1.1%
1.7%

Energy

0.5%
3.1%

Financial Services

0.2%
11.1%

Real Estate

0.1%
1.8%

Technology

QQQI
60.2%
SPXL
39.0%

Communication Services

QQQI
12.9%
SPXL
10.6%

Consumer Cyclical

QQQI
10.1%
SPXL
9.9%

Consumer Defensive

QQQI
6.5%
SPXL
4.5%

Healthcare

QQQI
3.7%
SPXL
8.3%

Industrials

QQQI
3.5%
SPXL
7.8%

Utilities

QQQI
1.2%
SPXL
2.1%

Basic Materials

QQQI
1.1%
SPXL
1.7%

Energy

QQQI
0.5%
SPXL
3.1%

Financial Services

QQQI
0.2%
SPXL
11.1%

Real Estate

QQQI
0.1%
SPXL
1.8%

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Return for Risk

QQQI vs. SPXL — Risk / Return Rank

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

QQQI
QQQI Risk / Return Rank: 5050
Overall Rank
QQQI Sharpe Ratio Rank: 4747
Sharpe Ratio Rank
QQQI Sortino Ratio Rank: 4343
Sortino Ratio Rank
QQQI Omega Ratio Rank: 4848
Omega Ratio Rank
QQQI Calmar Ratio Rank: 5252
Calmar Ratio Rank
QQQI Martin Ratio Rank: 6060
Martin Ratio Rank

SPXL
SPXL Risk / Return Rank: 4242
Overall Rank
SPXL Sharpe Ratio Rank: 4242
Sharpe Ratio Rank
SPXL Sortino Ratio Rank: 3838
Sortino Ratio Rank
SPXL Omega Ratio Rank: 4040
Omega Ratio Rank
SPXL Calmar Ratio Rank: 4141
Calmar Ratio Rank
SPXL Martin Ratio Rank: 4949
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. SPXL - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for NEOS Nasdaq-100 High Income ETF (QQQI) and Direxion Daily S&P 500 Bull 3X ETF (SPXL). 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.


QQQISPXLDifference
Sharpe ratioReturn per unit of total volatility

+0.13

Sortino ratioReturn per unit of downside risk

+0.16

Omega ratioGain probability vs. loss probability

1.28

1.24

+0.04

Calmar ratioReturn relative to maximum drawdown

2.28

1.88

+0.40

Martin ratioReturn relative to average drawdown

9.60

7.54

+2.06

QQQI vs. SPXL - Sharpe Ratio Comparison

The current QQQI Sharpe Ratio is 1.48, which is comparable to the SPXL Sharpe Ratio of 1.35. The chart below compares the historical Sharpe Ratios of QQQI and SPXL, 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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Drawdowns

QQQI vs. SPXL - Drawdown Comparison

The maximum QQQI drawdown since its inception was -20.00%, smaller than the maximum SPXL drawdown of -76.86%. Use the drawdown chart below to compare losses from any high point for QQQI and SPXL.


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Drawdown Indicators


QQQISPXLDifference

Max Drawdown

Largest peak-to-trough decline

-20.00%

-76.86%

+56.86%

Max Drawdown (1Y)

Largest decline over 1 year

-9.61%

-26.77%

+17.16%

Max Drawdown (3Y)

Largest decline over 3 years

-48.95%

Max Drawdown (5Y)

Largest decline over 5 years

-63.80%

Max Drawdown (10Y)

Largest decline over 10 years

-76.86%

Current Drawdown

Current decline from peak

-4.11%

-12.46%

+8.35%

Average Drawdown

Average peak-to-trough decline

-2.21%

-16.09%

+13.88%

Ulcer Index

Depth and duration of drawdowns from previous peaks

2.28%

6.67%

-4.39%

Volatility

QQQI vs. SPXL - Volatility Comparison

The current volatility for NEOS Nasdaq-100 High Income ETF (QQQI) is 7.67%, while Direxion Daily S&P 500 Bull 3X ETF (SPXL) has a volatility of 14.54%. This indicates that QQQI experiences smaller price fluctuations and is considered to be less risky than SPXL based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


QQQISPXLDifference

Volatility (1M)

Calculated over the trailing 1-month period

7.67%

14.54%

-6.87%

Volatility (6M)

Calculated over the trailing 6-month period

12.01%

29.44%

-17.43%

Volatility (1Y)

Calculated over the trailing 1-year period

14.81%

37.26%

-22.45%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

17.51%

50.52%

-33.01%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

17.51%

53.42%

-35.91%

QQQI vs. SPXL - Expense Ratio Comparison

QQQI has a 0.68% expense ratio, which is lower than SPXL's 0.84% expense ratio.


Dividends

QQQI vs. SPXL - Dividend Comparison

QQQI's dividend yield for the trailing twelve months is around 13.95%, more than SPXL's 0.57% yield.


PositionTTM202520242023202220212020201920182017
QQQI
NEOS Nasdaq-100 High Income ETF
13.95%13.82%12.85%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
SPXL
Direxion Daily S&P 500 Bull 3X ETF
0.57%0.69%0.74%0.98%0.32%0.11%0.22%0.84%1.02%3.88%

Frequently Asked Questions


With a correlation of 0.94, QQQI and SPXL 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.

SPXL has higher volatility (14.54%) compared to QQQI (7.67%). In terms of maximum drawdown, QQQI dropped -20.00% vs SPXL's -76.86%.

On 1-year performance, SPXL leads with 48.17% vs 21.58% for QQQI. On fees, QQQI is cheaper at 0.68% per year. On volatility, QQQI has been the lower-risk option at 7.67%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 1-year period, SPXL has performed better with a 48.17% return vs 21.58%. 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 0.84% for SPXL.

QQQI has the higher dividend yield at 13.95%, compared with 0.57% for SPXL.

QQQI is categorized as Nasdaq-100, while SPXL is Leveraged Equities. They also come from different issuers: Neos and Direxion. Their fees differ too: 0.68% for QQQI and 0.84% for SPXL.

QQQI currently has the higher Sharpe Ratio (1.48 vs 1.35), 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 SPXL

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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