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SOXL vs. FNGU
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

SOXL vs. FNGU - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Direxion Daily Semiconductor Bull 3X ETF (SOXL) 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, SOXL achieves a 564.50% return, which is significantly higher than FNGU's 16.23% return.


SOXL

1D
19.43%
1M
83.88%
YTD
564.50%
6M
623.92%
1Y
1,196.88%
3Y*
124.34%
5Y*
50.47%
10Y*
65.95%

FNGU

1D
8.70%
1M
6.30%
YTD
16.23%
6M
18.15%
1Y
38.29%
3Y*
5Y*
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

SOXL vs. FNGU - Yearly Performance Comparison


Correlation

The correlation between SOXL and FNGU is 0.60, 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

0.60

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

0.65

The correlation between SOXL and FNGU has been stable across timeframes, ranging from 0.60 to 0.65 - a consistent structural relationship.

SOXL vs. FNGU - Sectors Allocation Comparison


Sectors
SOXL
FNGU

Technology

100.0%
60.6%

Basic Materials

-

-

Communication Services

-

29.8%

Consumer Cyclical

-

9.6%

Consumer Defensive

-

-

Energy

-

-

Financial Services

-

-

Healthcare

-

-

Industrials

-

-

Real Estate

-

-

Utilities

-

-

Technology

SOXL
100.0%
FNGU
60.6%

Basic Materials

SOXL

-

FNGU

-

Communication Services

SOXL

-

FNGU
29.8%

Consumer Cyclical

SOXL

-

FNGU
9.6%

Consumer Defensive

SOXL

-

FNGU

-

Energy

SOXL

-

FNGU

-

Financial Services

SOXL

-

FNGU

-

Healthcare

SOXL

-

FNGU

-

Industrials

SOXL

-

FNGU

-

Real Estate

SOXL

-

FNGU

-

Utilities

SOXL

-

FNGU

-

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Return for Risk

SOXL vs. FNGU — Risk / Return Rank

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

SOXL
SOXL Risk / Return Rank: 9797
Overall Rank
SOXL Sharpe Ratio Rank: 9999
Sharpe Ratio Rank
SOXL Sortino Ratio Rank: 9494
Sortino Ratio Rank
SOXL Omega Ratio Rank: 9494
Omega Ratio Rank
SOXL Calmar Ratio Rank: 9999
Calmar Ratio Rank
SOXL Martin Ratio Rank: 9999
Martin Ratio Rank

FNGU
FNGU Risk / Return Rank: 1919
Overall Rank
FNGU Sharpe Ratio Rank: 1818
Sharpe Ratio Rank
FNGU Sortino Ratio Rank: 2222
Sortino Ratio Rank
FNGU Omega Ratio Rank: 2222
Omega Ratio Rank
FNGU Calmar Ratio Rank: 1616
Calmar Ratio Rank
FNGU Martin Ratio Rank: 1616
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.

SOXL vs. FNGU - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Direxion Daily Semiconductor Bull 3X ETF (SOXL) 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.


SOXLFNGUDifference
Sharpe ratioReturn per unit of total volatility

+10.00

Sortino ratioReturn per unit of downside risk

+3.24

Omega ratioGain probability vs. loss probability

1.63

1.15

+0.49

Calmar ratioReturn relative to maximum drawdown

27.84

0.65

+27.19

Martin ratioReturn relative to average drawdown

89.88

1.53

+88.35

SOXL vs. FNGU - Sharpe Ratio Comparison

The current SOXL Sharpe Ratio is 10.61, which is higher than the FNGU Sharpe Ratio of 0.61. The chart below compares the historical Sharpe Ratios of SOXL 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

SOXL vs. FNGU - Drawdown Comparison

The maximum SOXL drawdown since its inception was -90.46%, which is greater than FNGU's maximum drawdown of -61.30%. Use the drawdown chart below to compare losses from any high point for SOXL and FNGU.


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Drawdown Indicators


SOXLFNGUDifference

Max Drawdown

Largest peak-to-trough decline

-90.46%

-61.30%

-29.16%

Max Drawdown (1Y)

Largest decline over 1 year

-43.47%

-59.55%

+16.08%

Max Drawdown (3Y)

Largest decline over 3 years

-87.88%

Max Drawdown (5Y)

Largest decline over 5 years

-90.46%

Max Drawdown (10Y)

Largest decline over 10 years

-90.46%

Current Drawdown

Current decline from peak

-0.45%

-18.78%

+18.33%

Average Drawdown

Average peak-to-trough decline

-34.96%

-22.24%

-12.72%

Ulcer Index

Depth and duration of drawdowns from previous peaks

13.44%

25.05%

-11.61%

Volatility

SOXL vs. FNGU - Volatility Comparison

Direxion Daily Semiconductor Bull 3X ETF (SOXL) has a higher volatility of 62.74% compared to MicroSectors FANG+ 3X Leveraged ETNs (FNGU) at 31.59%. This indicates that SOXL's price experiences larger fluctuations and is considered to be riskier 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


SOXLFNGUDifference

Volatility (1M)

Calculated over the trailing 1-month period

62.74%

31.59%

+31.15%

Volatility (6M)

Calculated over the trailing 6-month period

96.77%

51.70%

+45.07%

Volatility (1Y)

Calculated over the trailing 1-year period

114.08%

63.56%

+50.52%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

109.76%

80.85%

+28.91%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

100.44%

80.85%

+19.59%

SOXL vs. FNGU - Expense Ratio Comparison

SOXL has a 0.75% expense ratio, which is lower than FNGU's 2.60% expense ratio.


Dividends

SOXL vs. FNGU - Dividend Comparison

SOXL's dividend yield for the trailing twelve months is around 0.03%, while FNGU has not paid dividends to shareholders.


PositionTTM2025202420232022202120202019201820172016
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%0.00%
SOXL
Direxion Daily Semiconductor Bull 3X ETF
0.03%0.34%1.18%0.51%1.07%0.04%0.05%0.38%1.30%0.09%4.84%

Frequently Asked Questions


SOXL and FNGU have a correlation of 0.60, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

SOXL has higher volatility (62.74%) compared to FNGU (31.59%). In terms of maximum drawdown, SOXL dropped -90.46% vs FNGU's -61.30%.

On 1-year performance, SOXL leads with 1196.88% vs 38.29% for FNGU. On fees, SOXL is cheaper at 0.75% per year. On volatility, FNGU has been the lower-risk option at 31.59%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 1-year period, SOXL has performed better with a 1196.88% return vs 38.29%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

SOXL is cheaper with a 0.75% expense ratio, compared with 2.60% for FNGU.

SOXL has the higher dividend yield at 0.03%, compared with 0.00% for FNGU.

SOXL tracks ICE Semiconductor Index, 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: 0.75% for SOXL and 2.60% for FNGU.

SOXL currently has the higher Sharpe Ratio (10.61 vs 0.61), 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 SOXL 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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