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FNGS vs. IQM
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

FNGS vs. IQM - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in MicroSectors FANG+ ETN (FNGS) and Franklin Intelligent Machines ETF (IQM). 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 5.66% return, which is significantly lower than IQM's 35.15% return.


FNGS

1D
-2.36%
1M
-3.57%
YTD
5.66%
6M
4.04%
1Y
17.25%
3Y*
29.30%
5Y*
18.21%
10Y*

IQM

1D
-6.20%
1M
3.59%
YTD
35.15%
6M
31.71%
1Y
66.07%
3Y*
35.52%
5Y*
20.13%
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

FNGS vs. IQM - Yearly Performance Comparison


2026 (YTD)202520242023202220212020
FNGS
MicroSectors FANG+ ETN
5.66%18.64%51.99%95.24%-40.32%16.96%78.69%
IQM
Franklin Intelligent Machines ETF
35.15%30.76%31.03%41.06%-33.36%25.18%76.92%

Correlation

The correlation between FNGS and IQM is 0.72, 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

0.72

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

0.79

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

0.83

Correlation (All Time)
Calculated using the full available price history since Feb 27, 2020

0.82

The correlation between FNGS and IQM shifts across timeframes, from 0.72 (1 year) to 0.83 (5 years), reflecting how their relationship changes across market environments.

FNGS vs. IQM - Sectors Allocation Comparison


Sectors
FNGS
IQM

Technology

63.4%
68.4%

Communication Services

26.0%
2.3%

Consumer Cyclical

10.6%
2.9%

Financial Services

10.0%

-

Basic Materials

-

-

Consumer Defensive

-

-

Energy

-

2.3%

Healthcare

-

1.0%

Industrials

-

17.1%

Real Estate

-

-

Utilities

-

3.2%

Technology

FNGS
63.4%
IQM
68.4%

Communication Services

FNGS
26.0%
IQM
2.3%

Consumer Cyclical

FNGS
10.6%
IQM
2.9%

Financial Services

FNGS
10.0%
IQM

-

Basic Materials

FNGS

-

IQM

-

Consumer Defensive

FNGS

-

IQM

-

Energy

FNGS

-

IQM
2.3%

Healthcare

FNGS

-

IQM
1.0%

Industrials

FNGS

-

IQM
17.1%

Real Estate

FNGS

-

IQM

-

Utilities

FNGS

-

IQM
3.2%

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Return for Risk

FNGS vs. IQM — Risk / Return Rank

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

FNGS
FNGS Risk / Return Rank: 2121
Overall Rank
FNGS Sharpe Ratio Rank: 2222
Sharpe Ratio Rank
FNGS Sortino Ratio Rank: 2222
Sortino Ratio Rank
FNGS Omega Ratio Rank: 2121
Omega Ratio Rank
FNGS Calmar Ratio Rank: 1818
Calmar Ratio Rank
FNGS Martin Ratio Rank: 1919
Martin Ratio Rank

IQM
IQM Risk / Return Rank: 7070
Overall Rank
IQM Sharpe Ratio Rank: 6969
Sharpe Ratio Rank
IQM Sortino Ratio Rank: 5555
Sortino Ratio Rank
IQM Omega Ratio Rank: 6161
Omega Ratio Rank
IQM Calmar Ratio Rank: 8686
Calmar Ratio Rank
IQM Martin Ratio Rank: 7777
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. IQM - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for MicroSectors FANG+ ETN (FNGS) and Franklin Intelligent Machines ETF (IQM). 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.


FNGSIQMDifference
Sharpe ratioReturn per unit of total volatility

-1.35

Sortino ratioReturn per unit of downside risk

-1.34

Omega ratioGain probability vs. loss probability

1.15

1.35

-0.20

Calmar ratioReturn relative to maximum drawdown

0.76

4.52

-3.76

Martin ratioReturn relative to average drawdown

2.12

14.13

-12.00

FNGS vs. IQM - Sharpe Ratio Comparison

The current FNGS Sharpe Ratio is 0.77, which is lower than the IQM Sharpe Ratio of 2.11. The chart below compares the historical Sharpe Ratios of FNGS and IQM, 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. IQM - Drawdown Comparison

The maximum FNGS drawdown since its inception was -48.98%, which is greater than IQM's maximum drawdown of -44.91%. Use the drawdown chart below to compare losses from any high point for FNGS and IQM.


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Drawdown Indicators


FNGSIQMDifference

Max Drawdown

Largest peak-to-trough decline

-48.98%

-44.91%

-4.07%

Max Drawdown (1Y)

Largest decline over 1 year

-22.93%

-14.71%

-8.22%

Max Drawdown (3Y)

Largest decline over 3 years

-26.77%

-30.42%

+3.65%

Max Drawdown (5Y)

Largest decline over 5 years

-48.98%

-44.91%

-4.07%

Current Drawdown

Current decline from peak

-10.58%

-6.20%

-4.38%

Average Drawdown

Average peak-to-trough decline

-10.84%

-12.18%

+1.34%

Ulcer Index

Depth and duration of drawdowns from previous peaks

8.14%

4.69%

+3.45%

Volatility

FNGS vs. IQM - Volatility Comparison

The current volatility for MicroSectors FANG+ ETN (FNGS) is 10.97%, while Franklin Intelligent Machines ETF (IQM) has a volatility of 15.34%. This indicates that FNGS experiences smaller price fluctuations and is considered to be less risky than IQM based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


FNGSIQMDifference

Volatility (1M)

Calculated over the trailing 1-month period

10.97%

15.34%

-4.37%

Volatility (6M)

Calculated over the trailing 6-month period

18.01%

26.16%

-8.15%

Volatility (1Y)

Calculated over the trailing 1-year period

22.63%

31.47%

-8.84%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

30.25%

29.56%

+0.69%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

31.24%

31.10%

+0.14%

FNGS vs. IQM - Expense Ratio Comparison

FNGS has a 0.58% expense ratio, which is higher than IQM's 0.50% expense ratio.


Dividends

FNGS vs. IQM - Dividend Comparison

Neither FNGS nor IQM has paid dividends to shareholders.


PositionTTM202520242023202220212020
FNGS
MicroSectors FANG+ ETN
0.00%0.00%0.00%0.00%0.00%0.00%0.00%
IQM
Franklin Intelligent Machines ETF
0.00%0.00%0.00%0.00%0.00%0.17%0.01%

Frequently Asked Questions


FNGS and IQM have a correlation of 0.72, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

IQM has higher volatility (15.34%) compared to FNGS (10.97%). In terms of maximum drawdown, FNGS dropped -48.98% vs IQM's -44.91%.

On 5-year performance, IQM leads with 20.13% vs 18.21% for FNGS. On fees, IQM is cheaper at 0.50% per year. On volatility, FNGS has been the lower-risk option at 10.97%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 5-year period, IQM has performed better with a 20.13% return vs 18.21%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

IQM is cheaper with a 0.50% expense ratio, compared with 0.58% for FNGS.

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

They also come from different issuers: BMO and Franklin Templeton. Their fees differ too: 0.58% for FNGS and 0.50% for IQM.

IQM currently has the higher Sharpe Ratio (2.11 vs 0.77), 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 IQM

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