PortfoliosLab logoPortfoliosLab logo
BULZ vs. FNGU
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

BULZ vs. FNGU - Performance Comparison

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

Loading charts...

Returns By Period

In the year-to-date period, BULZ achieves a 61.20% return, which is significantly higher than FNGU's 7.21% return.


BULZ

1D
-2.95%
1M
-4.19%
YTD
61.20%
6M
55.42%
1Y
175.88%
3Y*
82.14%
5Y*
10Y*

FNGU

1D
-7.77%
1M
-5.74%
YTD
7.21%
6M
4.80%
1Y
30.95%
3Y*
5Y*
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

BULZ vs. FNGU - Yearly Performance Comparison


Correlation

The correlation between BULZ and FNGU is 0.87, 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

0.87

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

0.89

The correlation between BULZ and FNGU has been stable across timeframes, ranging from 0.87 to 0.89 - a consistent structural relationship.

BULZ vs. FNGU - Sectors Allocation Comparison


Sectors
BULZ
FNGU

Technology

60.8%
60.6%

Communication Services

26.2%
29.8%

Consumer Cyclical

13.0%
9.6%

Basic Materials

-

-

Consumer Defensive

-

-

Energy

-

-

Financial Services

-

-

Healthcare

-

-

Industrials

-

-

Real Estate

-

-

Utilities

-

-

Technology

BULZ
60.8%
FNGU
60.6%

Communication Services

BULZ
26.2%
FNGU
29.8%

Consumer Cyclical

BULZ
13.0%
FNGU
9.6%

Basic Materials

BULZ

-

FNGU

-

Consumer Defensive

BULZ

-

FNGU

-

Energy

BULZ

-

FNGU

-

Financial Services

BULZ

-

FNGU

-

Healthcare

BULZ

-

FNGU

-

Industrials

BULZ

-

FNGU

-

Real Estate

BULZ

-

FNGU

-

Utilities

BULZ

-

FNGU

-

Compare stocks, funds, or ETFs

Search for stocks, ETFs, and funds for a quick comparison or use the comparison tool for more options.


Return for Risk

BULZ vs. FNGU — Risk / Return Rank

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

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

FNGU
FNGU Risk / Return Rank: 1717
Overall Rank
FNGU Sharpe Ratio Rank: 1616
Sharpe Ratio Rank
FNGU Sortino Ratio Rank: 2020
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.

BULZ vs. FNGU - Risk-Adjusted Trends Comparison

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


BULZFNGUDifference
Sharpe ratioReturn per unit of total volatility

+1.75

Sortino ratioReturn per unit of downside risk

+1.38

Omega ratioGain probability vs. loss probability

1.32

1.13

+0.19

Calmar ratioReturn relative to maximum drawdown

3.26

0.52

+2.74

Martin ratioReturn relative to average drawdown

8.46

1.24

+7.23

BULZ vs. FNGU - Sharpe Ratio Comparison

The current BULZ Sharpe Ratio is 2.24, which is higher than the FNGU Sharpe Ratio of 0.49. The chart below compares the historical Sharpe Ratios of BULZ 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.


Loading charts...

Drawdowns

BULZ vs. FNGU - Drawdown Comparison

The maximum BULZ drawdown since its inception was -94.44%, which is greater than FNGU's maximum drawdown of -61.30%. Use the drawdown chart below to compare losses from any high point for BULZ and FNGU.


Loading charts...

Drawdown Indicators


BULZFNGUDifference

Max Drawdown

Largest peak-to-trough decline

-94.44%

-61.30%

-33.14%

Max Drawdown (1Y)

Largest decline over 1 year

-54.22%

-59.55%

+5.33%

Max Drawdown (3Y)

Largest decline over 3 years

-67.96%

Current Drawdown

Current decline from peak

-24.05%

-25.09%

+1.04%

Average Drawdown

Average peak-to-trough decline

-58.04%

-22.25%

-35.79%

Ulcer Index

Depth and duration of drawdowns from previous peaks

20.87%

25.10%

-4.23%

Volatility

BULZ vs. FNGU - Volatility Comparison

MicroSectors FANG & Innovation 3X Leveraged ETNs (BULZ) and MicroSectors FANG+ 3X Leveraged ETNs (FNGU) have volatilities of 33.09% and 32.41%, respectively, indicating that both stocks experience similar levels of price fluctuations. This suggests that the risk associated with both stocks, as measured by volatility, is nearly the same. The chart below showcases a comparison of their rolling one-month volatility.


Loading charts...

Volatility by Period


BULZFNGUDifference

Volatility (1M)

Calculated over the trailing 1-month period

33.09%

32.41%

+0.68%

Volatility (6M)

Calculated over the trailing 6-month period

62.60%

52.02%

+10.58%

Volatility (1Y)

Calculated over the trailing 1-year period

79.22%

64.11%

+15.11%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

91.72%

81.02%

+10.70%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

91.72%

81.02%

+10.70%

BULZ vs. FNGU - Expense Ratio Comparison

BULZ has a 0.95% expense ratio, which is lower than FNGU's 2.60% expense ratio.


Dividends

BULZ vs. FNGU - Dividend Comparison

Neither BULZ nor FNGU has paid dividends to shareholders.


Tickers have no history of dividend payments

Frequently Asked Questions


BULZ and FNGU have a correlation of 0.87, 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 FNGU (32.41%). In terms of maximum drawdown, BULZ dropped -94.44% vs FNGU's -61.30%.

On 1-year performance, BULZ leads with 175.88% vs 30.95% for FNGU. On fees, BULZ is cheaper at 0.95% per year. On volatility, FNGU has been the lower-risk option at 32.41%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 1-year period, BULZ has performed better with a 175.88% return vs 30.95%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

BULZ is cheaper with a 0.95% expense ratio, compared with 2.60% for FNGU.

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

BULZ tracks Solactive FANG Innovation Index (300%), while FNGU tracks NYSE FANG+ Index (Gross Total Return) (300%). They also come from different issuers: BMO and Bank of Montreal. Their fees differ too: 0.95% for BULZ and 2.60% for FNGU.

BULZ currently has the higher Sharpe Ratio (2.24 vs 0.49), 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 BULZ 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.

Open Portfolio Optimizer