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FNGD vs. MVLL
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

FNGD vs. MVLL - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in MicroSectors FANG+™ Index -3X Inverse Leveraged ETN (FNGD) and GraniteShares 2x Long MRVL Daily ETF (MVLL). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, FNGD achieves a -43.70% return, which is significantly lower than MVLL's 779.83% return.


FNGD

1D
1.51%
1M
-31.76%
YTD
-43.70%
6M
-34.07%
1Y
-62.82%
3Y*
-69.63%
5Y*
-66.27%
10Y*

MVLL

1D
65.00%
1M
176.74%
YTD
779.83%
6M
610.16%
1Y
1,163.51%
3Y*
5Y*
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

FNGD vs. MVLL - Yearly Performance Comparison


Correlation

The correlation between FNGD and MVLL is -0.43, meaning they tend to move in opposite directions. This is especially valuable for risk management - when one declines, the other has historically tended to hold steady or rise.


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

-0.43

Correlation (All Time)
Calculated using the full available price history since Mar 10, 2025

-0.52

The correlation between FNGD and MVLL has been stable across timeframes, ranging from -0.52 to -0.43 - a consistent structural relationship.

FNGD vs. MVLL - Sectors Allocation Comparison


Sectors
FNGD
MVLL

Technology

59.9%
66.6%

Communication Services

28.8%

-

Consumer Cyclical

11.3%

-

Financial Services

10.0%

-

Basic Materials

-

-

Consumer Defensive

-

-

Energy

-

-

Healthcare

-

-

Industrials

-

-

Real Estate

-

-

Utilities

-

-

Technology

FNGD
59.9%
MVLL
66.6%

Communication Services

FNGD
28.8%
MVLL

-

Consumer Cyclical

FNGD
11.3%
MVLL

-

Financial Services

FNGD
10.0%
MVLL

-

Basic Materials

FNGD

-

MVLL

-

Consumer Defensive

FNGD

-

MVLL

-

Energy

FNGD

-

MVLL

-

Healthcare

FNGD

-

MVLL

-

Industrials

FNGD

-

MVLL

-

Real Estate

FNGD

-

MVLL

-

Utilities

FNGD

-

MVLL

-

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Return for Risk

FNGD vs. MVLL — Risk / Return Rank

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

FNGD
FNGD Risk / Return Rank: 11
Overall Rank
FNGD Sharpe Ratio Rank: 11
Sharpe Ratio Rank
FNGD Sortino Ratio Rank: 11
Sortino Ratio Rank
FNGD Omega Ratio Rank: 11
Omega Ratio Rank
FNGD Calmar Ratio Rank: 11
Calmar Ratio Rank
FNGD Martin Ratio Rank: 00
Martin Ratio Rank

MVLL
MVLL Risk / Return Rank: 9696
Overall Rank
MVLL Sharpe Ratio Rank: 9999
Sharpe Ratio Rank
MVLL Sortino Ratio Rank: 9393
Sortino Ratio Rank
MVLL Omega Ratio Rank: 9292
Omega Ratio Rank
MVLL Calmar Ratio Rank: 9999
Calmar Ratio Rank
MVLL Martin Ratio Rank: 9797
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.

FNGD vs. MVLL - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for MicroSectors FANG+™ Index -3X Inverse Leveraged ETN (FNGD) and GraniteShares 2x Long MRVL Daily ETF (MVLL). 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.


FNGDMVLLDifference

Sharpe ratio

Return per unit of total volatility

-1.07

8.85

-9.92

Sortino ratio

Return per unit of downside risk

-1.88

4.74

-6.62

Omega ratio

Gain probability vs. loss probability

0.79

1.62

-0.83

Calmar ratio

Return relative to maximum drawdown

-0.97

24.93

-25.90

Martin ratio

Return relative to average drawdown

-1.91

51.99

-53.91

FNGD vs. MVLL - Sharpe Ratio Comparison

The current FNGD Sharpe Ratio is -1.07, which is lower than the MVLL Sharpe Ratio of 8.85. The chart below compares the historical Sharpe Ratios of FNGD and MVLL, 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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Sharpe Ratios by Period


FNGDMVLLDifference

Sharpe Ratio (1Y)

Calculated over the trailing 1-year period

-1.07

8.85

-9.92

Sharpe Ratio (5Y)

Calculated over the trailing 5-year period

-0.75

Sharpe Ratio (All Time)

Calculated using the full available price history

-0.78

3.13

-3.91

Drawdowns

FNGD vs. MVLL - Drawdown Comparison

The maximum FNGD drawdown since its inception was -100.00%, which is greater than MVLL's maximum drawdown of -59.02%. Use the drawdown chart below to compare losses from any high point for FNGD and MVLL.


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Drawdown Indicators


FNGDMVLLDifference

Max Drawdown

Largest peak-to-trough decline

-100.00%

-59.02%

-40.98%

Max Drawdown (1Y)

Largest decline over 1 year

-65.92%

-48.93%

-16.99%

Max Drawdown (3Y)

Largest decline over 3 years

-97.37%

Max Drawdown (5Y)

Largest decline over 5 years

-99.67%

Current Drawdown

Current decline from peak

-100.00%

0.00%

-100.00%

Average Drawdown

Average peak-to-trough decline

-87.24%

-22.49%

-64.75%

Ulcer Index

Depth and duration of drawdowns from previous peaks

33.47%

23.46%

+10.01%

Volatility

FNGD vs. MVLL - Volatility Comparison

The current volatility for MicroSectors FANG+™ Index -3X Inverse Leveraged ETN (FNGD) is 16.71%, while GraniteShares 2x Long MRVL Daily ETF (MVLL) has a volatility of 61.15%. This indicates that FNGD experiences smaller price fluctuations and is considered to be less risky than MVLL based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


FNGDMVLLDifference

Volatility (1M)

Calculated over the trailing 1-month period

16.71%

61.15%

-44.44%

Volatility (6M)

Calculated over the trailing 6-month period

45.80%

95.96%

-50.16%

Volatility (1Y)

Calculated over the trailing 1-year period

58.66%

133.02%

-74.36%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

88.79%

139.75%

-50.96%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

91.02%

139.75%

-48.73%

FNGD vs. MVLL - Expense Ratio Comparison

FNGD has a 0.95% expense ratio, which is lower than MVLL's 1.50% expense ratio.


Dividends

FNGD vs. MVLL - Dividend Comparison

Neither FNGD nor MVLL has paid dividends to shareholders.


Tickers have no history of dividend payments

Frequently Asked Questions


FNGD and MVLL have a correlation of -0.43, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

MVLL has higher volatility (61.15%) compared to FNGD (16.71%). In terms of maximum drawdown, FNGD dropped -100.00% vs MVLL's -59.02%.

On 1-year performance, MVLL leads with 1163.51% vs -62.82% for FNGD. On fees, FNGD is cheaper at 0.95% per year. On volatility, FNGD has been the lower-risk option at 16.71%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 1-year period, MVLL has performed better with a 1163.51% return vs -62.82%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

FNGD is cheaper with a 0.95% expense ratio, compared with 1.50% for MVLL.

FNGD and MVLL have nearly identical dividend yields, around 0.00%.

FNGD tracks NYSE FANG+ Index (-300%), while MVLL tracks Marvell Technology Inc. (MRVL). They also come from different issuers: BMO and GraniteShares. Their fees differ too: 0.95% for FNGD and 1.50% for MVLL.

MVLL currently has the higher Sharpe Ratio (8.85 vs -1.07), 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 FNGD and MVLL

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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