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WUGI vs. FNGS
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

WUGI vs. FNGS - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Esoterica NextG Economy ETF (WUGI) and MicroSectors FANG+ ETN (FNGS). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, WUGI achieves a 23.35% return, which is significantly higher than FNGS's 6.79% return.


WUGI

1D
1.10%
1M
5.98%
YTD
23.35%
6M
25.24%
1Y
38.78%
3Y*
33.73%
5Y*
16.13%
10Y*

FNGS

1D
-0.94%
1M
-3.20%
YTD
6.79%
6M
4.25%
1Y
17.02%
3Y*
29.80%
5Y*
19.76%
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

WUGI vs. FNGS - Yearly Performance Comparison


2026 (YTD)202520242023202220212020
WUGI
Esoterica NextG Economy ETF
23.35%22.66%47.14%61.30%-49.55%25.18%97.36%
FNGS
MicroSectors FANG+ ETN
6.79%18.64%51.99%95.24%-40.32%16.96%111.74%

Correlation

The correlation between WUGI and FNGS is 0.80, 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

0.80

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

0.85

Correlation (5Y)
Calculated over the trailing 5-year period

0.89

Correlation (All Time)
Calculated using the full available price history since Mar 31, 2020

0.87

The correlation between WUGI and FNGS has been stable across timeframes, ranging from 0.80 to 0.89 - a consistent structural relationship.

WUGI vs. FNGS - Sectors Allocation Comparison


Sectors
WUGI
FNGS

Technology

70.5%
59.9%

Communication Services

12.1%
28.8%

Industrials

9.3%

-

Consumer Cyclical

6.3%
11.3%

Financial Services

1.8%
10.0%

Healthcare

0.2%

-

Consumer Defensive

0.1%

-

Real Estate

0.1%

-

Basic Materials

0.0%

-

Energy

0.0%

-

Utilities

-

-

Technology

WUGI
70.5%
FNGS
59.9%

Communication Services

WUGI
12.1%
FNGS
28.8%

Industrials

WUGI
9.3%
FNGS

-

Consumer Cyclical

WUGI
6.3%
FNGS
11.3%

Financial Services

WUGI
1.8%
FNGS
10.0%

Healthcare

WUGI
0.2%
FNGS

-

Consumer Defensive

WUGI
0.1%
FNGS

-

Real Estate

WUGI
0.1%
FNGS

-

Basic Materials

WUGI
0.0%
FNGS

-

Energy

WUGI
0.0%
FNGS

-

Utilities

WUGI

-

FNGS

-

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Return for Risk

WUGI vs. FNGS — Risk / Return Rank

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

WUGI
WUGI Risk / Return Rank: 4949
Overall Rank
WUGI Sharpe Ratio Rank: 5151
Sharpe Ratio Rank
WUGI Sortino Ratio Rank: 4747
Sortino Ratio Rank
WUGI Omega Ratio Rank: 4949
Omega Ratio Rank
WUGI Calmar Ratio Rank: 4949
Calmar Ratio Rank
WUGI Martin Ratio Rank: 4747
Martin Ratio Rank

FNGS
FNGS Risk / Return Rank: 2323
Overall Rank
FNGS Sharpe Ratio Rank: 2525
Sharpe Ratio Rank
FNGS Sortino Ratio Rank: 2424
Sortino Ratio Rank
FNGS Omega Ratio Rank: 2424
Omega Ratio Rank
FNGS Calmar Ratio Rank: 2020
Calmar Ratio Rank
FNGS Martin Ratio Rank: 2020
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.

WUGI vs. FNGS - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Esoterica NextG Economy ETF (WUGI) and MicroSectors FANG+ ETN (FNGS). 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.


WUGIFNGSDifference
Sharpe ratioReturn per unit of total volatility

+0.75

Sortino ratioReturn per unit of downside risk

+0.89

Omega ratioGain probability vs. loss probability

1.28

1.15

+0.13

Calmar ratioReturn relative to maximum drawdown

2.17

0.75

+1.42

Martin ratioReturn relative to average drawdown

7.02

2.12

+4.90

WUGI vs. FNGS - Sharpe Ratio Comparison

The current WUGI Sharpe Ratio is 1.54, which is higher than the FNGS Sharpe Ratio of 0.79. The chart below compares the historical Sharpe Ratios of WUGI and FNGS, 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

WUGI vs. FNGS - Drawdown Comparison

The maximum WUGI drawdown since its inception was -56.41%, which is greater than FNGS's maximum drawdown of -48.98%. Use the drawdown chart below to compare losses from any high point for WUGI and FNGS.


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Drawdown Indicators


WUGIFNGSDifference

Max Drawdown

Largest peak-to-trough decline

-56.41%

-48.98%

-7.43%

Max Drawdown (1Y)

Largest decline over 1 year

-17.99%

-22.93%

+4.94%

Max Drawdown (3Y)

Largest decline over 3 years

-27.49%

-26.77%

-0.72%

Max Drawdown (5Y)

Largest decline over 5 years

-56.41%

-48.98%

-7.43%

Current Drawdown

Current decline from peak

-3.98%

-9.63%

+5.65%

Average Drawdown

Average peak-to-trough decline

-16.61%

-10.85%

-5.76%

Ulcer Index

Depth and duration of drawdowns from previous peaks

5.54%

8.05%

-2.51%

Volatility

WUGI vs. FNGS - Volatility Comparison

Esoterica NextG Economy ETF (WUGI) has a higher volatility of 13.03% compared to MicroSectors FANG+ ETN (FNGS) at 8.74%. This indicates that WUGI's price experiences larger fluctuations and is considered to be riskier than FNGS based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


WUGIFNGSDifference

Volatility (1M)

Calculated over the trailing 1-month period

13.03%

8.74%

+4.29%

Volatility (6M)

Calculated over the trailing 6-month period

22.14%

17.19%

+4.95%

Volatility (1Y)

Calculated over the trailing 1-year period

25.36%

21.65%

+3.71%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

31.07%

30.10%

+0.97%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

31.09%

31.17%

-0.08%

WUGI vs. FNGS - Expense Ratio Comparison

WUGI has a 0.75% expense ratio, which is higher than FNGS's 0.58% expense ratio.


Dividends

WUGI vs. FNGS - Dividend Comparison

WUGI's dividend yield for the trailing twelve months is around 18.51%, while FNGS has not paid dividends to shareholders.


PositionTTM20252024
FNGS
MicroSectors FANG+ ETN
0.00%0.00%0.00%
WUGI
Esoterica NextG Economy ETF
18.51%22.83%4.09%

Frequently Asked Questions


WUGI and FNGS have a correlation of 0.80, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

WUGI has higher volatility (13.03%) compared to FNGS (8.74%). In terms of maximum drawdown, WUGI dropped -56.41% vs FNGS's -48.98%.

On 5-year performance, FNGS leads with 19.76% vs 16.13% for WUGI. On fees, FNGS is cheaper at 0.58% per year. On volatility, FNGS has been the lower-risk option at 8.74%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 5-year period, FNGS has performed better with a 19.76% return vs 16.13%. 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 0.75% for WUGI.

WUGI has the higher dividend yield at 18.51%, compared with 0.00% for FNGS.

They also come from different issuers: Esoterica and BMO. Their fees differ too: 0.75% for WUGI and 0.58% for FNGS.

WUGI currently has the higher Sharpe Ratio (1.54 vs 0.79), 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 WUGI and FNGS

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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