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FNGS vs. BULZ
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

FNGS vs. BULZ - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in MicroSectors FANG+ ETN (FNGS) and MicroSectors FANG & Innovation 3X Leveraged ETNs (BULZ). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, FNGS achieves a 8.21% return, which is significantly lower than BULZ's 61.20% return.


FNGS

1D
-3.05%
1M
-1.23%
YTD
8.21%
6M
7.55%
1Y
20.76%
3Y*
30.34%
5Y*
18.98%
10Y*

BULZ

1D
-2.95%
1M
-4.19%
YTD
61.20%
6M
55.42%
1Y
175.88%
3Y*
82.14%
5Y*
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

FNGS vs. BULZ - Yearly Performance Comparison


2026 (YTD)20252024202320222021
FNGS
MicroSectors FANG+ ETN
8.21%18.64%51.99%95.24%-40.32%7.50%
BULZ
MicroSectors FANG & Innovation 3X Leveraged ETNs
61.20%60.09%54.09%394.22%-92.26%9.17%

Correlation

The correlation between FNGS and BULZ is 0.85, 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

0.85

Correlation (3Y)
Calculated over the trailing 3-year period

0.89

Correlation (All Time)
Calculated using the full available price history since Aug 18, 2021

0.91

The correlation between FNGS and BULZ has been stable across timeframes, ranging from 0.85 to 0.91 - a consistent structural relationship.

FNGS vs. BULZ - Sectors Allocation Comparison


Sectors
FNGS
BULZ

Technology

63.4%
60.8%

Communication Services

26.0%
26.2%

Consumer Cyclical

10.6%
13.0%

Financial Services

10.0%

-

Basic Materials

-

-

Consumer Defensive

-

-

Energy

-

-

Healthcare

-

-

Industrials

-

-

Real Estate

-

-

Utilities

-

-

Technology

FNGS
63.4%
BULZ
60.8%

Communication Services

FNGS
26.0%
BULZ
26.2%

Consumer Cyclical

FNGS
10.6%
BULZ
13.0%

Financial Services

FNGS
10.0%
BULZ

-

Basic Materials

FNGS

-

BULZ

-

Consumer Defensive

FNGS

-

BULZ

-

Energy

FNGS

-

BULZ

-

Healthcare

FNGS

-

BULZ

-

Industrials

FNGS

-

BULZ

-

Real Estate

FNGS

-

BULZ

-

Utilities

FNGS

-

BULZ

-

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Return for Risk

FNGS vs. BULZ — Risk / Return Rank

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

FNGS
FNGS Risk / Return Rank: 2424
Overall Rank
FNGS Sharpe Ratio Rank: 2727
Sharpe Ratio Rank
FNGS Sortino Ratio Rank: 2626
Sortino Ratio Rank
FNGS Omega Ratio Rank: 2525
Omega Ratio Rank
FNGS Calmar Ratio Rank: 2020
Calmar Ratio Rank
FNGS Martin Ratio Rank: 2121
Martin Ratio Rank

BULZ
BULZ Risk / Return Rank: 5959
Overall Rank
BULZ Sharpe Ratio Rank: 7272
Sharpe Ratio Rank
BULZ Sortino Ratio Rank: 5252
Sortino Ratio Rank
BULZ Omega Ratio Rank: 5454
Omega Ratio Rank
BULZ Calmar Ratio Rank: 6767
Calmar Ratio Rank
BULZ Martin Ratio Rank: 5151
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.

FNGS vs. BULZ - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for MicroSectors FANG+ ETN (FNGS) and MicroSectors FANG & Innovation 3X Leveraged ETNs (BULZ). 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.


FNGSBULZDifference
Sharpe ratioReturn per unit of total volatility

-1.31

Sortino ratioReturn per unit of downside risk

-1.07

Omega ratioGain probability vs. loss probability

1.17

1.32

-0.15

Calmar ratioReturn relative to maximum drawdown

0.91

3.26

-2.36

Martin ratioReturn relative to average drawdown

2.56

8.46

-5.90

FNGS vs. BULZ - Sharpe Ratio Comparison

The current FNGS Sharpe Ratio is 0.93, which is lower than the BULZ Sharpe Ratio of 2.24. The chart below compares the historical Sharpe Ratios of FNGS and BULZ, 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

FNGS vs. BULZ - Drawdown Comparison

The maximum FNGS drawdown since its inception was -48.98%, smaller than the maximum BULZ drawdown of -94.44%. Use the drawdown chart below to compare losses from any high point for FNGS and BULZ.


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Drawdown Indicators


FNGSBULZDifference

Max Drawdown

Largest peak-to-trough decline

-48.98%

-94.44%

+45.46%

Max Drawdown (1Y)

Largest decline over 1 year

-22.93%

-54.22%

+31.29%

Max Drawdown (3Y)

Largest decline over 3 years

-26.77%

-67.96%

+41.19%

Max Drawdown (5Y)

Largest decline over 5 years

-48.98%

Current Drawdown

Current decline from peak

-8.42%

-24.05%

+15.63%

Average Drawdown

Average peak-to-trough decline

-10.84%

-58.04%

+47.20%

Ulcer Index

Depth and duration of drawdowns from previous peaks

8.11%

20.87%

-12.76%

Volatility

FNGS vs. BULZ - Volatility Comparison

The current volatility for MicroSectors FANG+ ETN (FNGS) is 10.75%, while MicroSectors FANG & Innovation 3X Leveraged ETNs (BULZ) has a volatility of 33.09%. This indicates that FNGS experiences smaller price fluctuations and is considered to be less risky than BULZ based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


FNGSBULZDifference

Volatility (1M)

Calculated over the trailing 1-month period

10.75%

33.09%

-22.34%

Volatility (6M)

Calculated over the trailing 6-month period

17.87%

62.60%

-44.73%

Volatility (1Y)

Calculated over the trailing 1-year period

22.54%

79.22%

-56.68%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

30.24%

91.72%

-61.48%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

31.23%

91.72%

-60.49%

FNGS vs. BULZ - Expense Ratio Comparison

FNGS has a 0.58% expense ratio, which is lower than BULZ's 0.95% expense ratio.


Dividends

FNGS vs. BULZ - Dividend Comparison

Neither FNGS nor BULZ has paid dividends to shareholders.


Tickers have no history of dividend payments

Frequently Asked Questions


FNGS and BULZ 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.

BULZ has higher volatility (33.09%) compared to FNGS (10.75%). In terms of maximum drawdown, FNGS dropped -48.98% vs BULZ's -94.44%.

On 3-year performance, BULZ leads with 82.14% vs 30.34% for FNGS. On fees, FNGS is cheaper at 0.58% per year. On volatility, FNGS has been the lower-risk option at 10.75%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 3-year period, BULZ has performed better with a 82.14% return vs 30.34%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

FNGS is cheaper with a 0.58% expense ratio, compared with 0.95% for BULZ.

FNGS and BULZ have nearly identical dividend yields, around 0.00%.

FNGS is categorized as Large Cap Growth Equities, while BULZ is Leveraged Equities. FNGS tracks NYSE FANG+ Index, while BULZ tracks Solactive FANG Innovation Index (300%). Their fees differ too: 0.58% for FNGS and 0.95% for BULZ.

BULZ currently has the higher Sharpe Ratio (2.24 vs 0.93), 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 FNGS and BULZ

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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