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SPXL vs. FNGU
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

SPXL vs. FNGU - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Direxion Daily S&P 500 Bull 3X ETF (SPXL) and MicroSectors FANG+ 3X Leveraged ETNs (FNGU). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, SPXL achieves a 20.98% return, which is significantly higher than FNGU's 3.96% return.


SPXL

1D
1.54%
1M
-1.59%
YTD
20.98%
6M
21.36%
1Y
65.66%
3Y*
47.11%
5Y*
21.80%
10Y*
29.90%

FNGU

1D
-2.52%
1M
-12.41%
YTD
3.96%
6M
-3.67%
1Y
21.24%
3Y*
5Y*
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

SPXL vs. FNGU - Yearly Performance Comparison


Correlation

The correlation between SPXL and FNGU is 0.79, 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

0.79

Correlation (All Time)
Calculated using the full available price history since Feb 20, 2025

0.80

The correlation between SPXL and FNGU has been stable across timeframes, ranging from 0.79 to 0.80 - a consistent structural relationship.

SPXL vs. FNGU - Sectors Allocation Comparison


Sectors
SPXL
FNGU

Technology

8.4%
60.6%

Financial Services

2.4%

-

Communication Services

2.3%
29.8%

Consumer Cyclical

2.2%
9.6%

Healthcare

1.8%

-

Industrials

1.7%

-

Consumer Defensive

1.0%

-

Energy

0.7%

-

Utilities

0.6%

-

Real Estate

0.4%

-

Basic Materials

0.4%

-

Technology

SPXL
8.4%
FNGU
60.6%

Financial Services

SPXL
2.4%
FNGU

-

Communication Services

SPXL
2.3%
FNGU
29.8%

Consumer Cyclical

SPXL
2.2%
FNGU
9.6%

Healthcare

SPXL
1.8%
FNGU

-

Industrials

SPXL
1.7%
FNGU

-

Consumer Defensive

SPXL
1.0%
FNGU

-

Energy

SPXL
0.7%
FNGU

-

Utilities

SPXL
0.6%
FNGU

-

Real Estate

SPXL
0.4%
FNGU

-

Basic Materials

SPXL
0.4%
FNGU

-

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Return for Risk

SPXL vs. FNGU — Risk / Return Rank

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

SPXL
SPXL Risk / Return Rank: 5858
Overall Rank
SPXL Sharpe Ratio Rank: 6262
Sharpe Ratio Rank
SPXL Sortino Ratio Rank: 5353
Sortino Ratio Rank
SPXL Omega Ratio Rank: 5555
Omega Ratio Rank
SPXL Calmar Ratio Rank: 5757
Calmar Ratio Rank
SPXL Martin Ratio Rank: 6464
Martin Ratio Rank

FNGU
FNGU Risk / Return Rank: 1616
Overall Rank
FNGU Sharpe Ratio Rank: 1515
Sharpe Ratio Rank
FNGU Sortino Ratio Rank: 1919
Sortino Ratio Rank
FNGU Omega Ratio Rank: 1919
Omega Ratio Rank
FNGU Calmar Ratio Rank: 1414
Calmar Ratio Rank
FNGU Martin Ratio Rank: 1414
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.

SPXL vs. FNGU - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Direxion Daily S&P 500 Bull 3X ETF (SPXL) and MicroSectors FANG+ 3X Leveraged ETNs (FNGU). 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.


SPXLFNGUDifference
Sharpe ratioReturn per unit of total volatility

+1.45

Sortino ratioReturn per unit of downside risk

+1.38

Omega ratioGain probability vs. loss probability

1.30

1.11

+0.19

Calmar ratioReturn relative to maximum drawdown

2.47

0.36

+2.11

Martin ratioReturn relative to average drawdown

10.16

0.85

+9.30

SPXL vs. FNGU - Sharpe Ratio Comparison

The current SPXL Sharpe Ratio is 1.79, which is higher than the FNGU Sharpe Ratio of 0.35. The chart below compares the historical Sharpe Ratios of SPXL and FNGU, 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

SPXL vs. FNGU - Drawdown Comparison

The maximum SPXL drawdown since its inception was -76.86%, which is greater than FNGU's maximum drawdown of -61.30%. Use the drawdown chart below to compare losses from any high point for SPXL and FNGU.


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Drawdown Indicators


SPXLFNGUDifference

Max Drawdown

Largest peak-to-trough decline

-76.86%

-61.30%

-15.56%

Max Drawdown (1Y)

Largest decline over 1 year

-26.77%

-59.55%

+32.78%

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

-7.55%

-27.36%

+19.81%

Average Drawdown

Average peak-to-trough decline

-16.11%

-22.25%

+6.14%

Ulcer Index

Depth and duration of drawdowns from previous peaks

6.49%

24.91%

-18.42%

Volatility

SPXL vs. FNGU - Volatility Comparison

The current volatility for Direxion Daily S&P 500 Bull 3X ETF (SPXL) is 13.20%, while MicroSectors FANG+ 3X Leveraged ETNs (FNGU) has a volatility of 27.31%. This indicates that SPXL experiences smaller price fluctuations and is considered to be less risky than FNGU based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


SPXLFNGUDifference

Volatility (1M)

Calculated over the trailing 1-month period

13.20%

27.31%

-14.11%

Volatility (6M)

Calculated over the trailing 6-month period

28.79%

50.15%

-21.36%

Volatility (1Y)

Calculated over the trailing 1-year period

36.81%

61.43%

-24.62%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

50.44%

79.93%

-29.49%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

53.50%

79.93%

-26.43%

SPXL vs. FNGU - Expense Ratio Comparison

SPXL has a 0.84% expense ratio, which is lower than FNGU's 2.60% expense ratio.


Dividends

SPXL vs. FNGU - Dividend Comparison

SPXL's dividend yield for the trailing twelve months is around 0.56%, while FNGU has not paid dividends to shareholders.


PositionTTM202520242023202220212020201920182017
FNGU
MicroSectors FANG+ 3X Leveraged ETNs
0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
SPXL
Direxion Daily S&P 500 Bull 3X ETF
0.56%0.69%0.74%0.98%0.32%0.11%0.22%0.84%1.02%3.88%

Frequently Asked Questions


SPXL and FNGU have a correlation of 0.79, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

FNGU has higher volatility (27.31%) compared to SPXL (13.20%). In terms of maximum drawdown, SPXL dropped -76.86% vs FNGU's -61.30%.

On 1-year performance, SPXL leads with 65.66% vs 21.24% for FNGU. On fees, SPXL is cheaper at 0.84% per year. On volatility, SPXL has been the lower-risk option at 13.20%. 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 65.66% return vs 21.24%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

SPXL is cheaper with a 0.84% expense ratio, compared with 2.60% for FNGU.

SPXL has the higher dividend yield at 0.56%, compared with 0.00% for FNGU.

SPXL tracks S&P 500, while FNGU tracks NYSE FANG+ Index (Gross Total Return) (300%). They also come from different issuers: Direxion and Bank of Montreal. Their fees differ too: 0.84% for SPXL and 2.60% for FNGU.

SPXL currently has the higher Sharpe Ratio (1.79 vs 0.35), 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 SPXL and FNGU

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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