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FFTY vs. IQM
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

FFTY vs. IQM - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Innovator IBD 50 ETF (FFTY) 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, FFTY achieves a 20.94% return, which is significantly lower than IQM's 35.15% return.


FFTY

1D
-4.21%
1M
5.39%
YTD
20.94%
6M
18.21%
1Y
36.43%
3Y*
21.26%
5Y*
-0.44%
10Y*
7.91%

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)

FFTY vs. IQM - Yearly Performance Comparison


2026 (YTD)202520242023202220212020
FFTY
Innovator IBD 50 ETF
20.94%23.38%18.36%12.40%-51.08%11.92%22.03%
IQM
Franklin Intelligent Machines ETF
35.15%30.76%31.03%41.06%-33.36%25.18%76.92%

Correlation

The correlation between FFTY and IQM is 0.80, 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

0.80

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

0.80

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

0.81

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

0.81

The correlation between FFTY and IQM has been stable across timeframes, ranging from 0.80 to 0.81 - a consistent structural relationship.

FFTY vs. IQM - Sectors Allocation Comparison


Sectors
FFTY
IQM

Technology

39.4%
68.4%

Industrials

23.1%
17.1%

Healthcare

12.8%
1.0%

Energy

7.3%
2.3%

Financial Services

6.7%

-

Basic Materials

2.9%

-

Communication Services

2.8%
2.3%

Consumer Defensive

2.8%

-

Consumer Cyclical

2.3%
2.9%

Utilities

2.1%
3.2%

Real Estate

-

-

Technology

FFTY
39.4%
IQM
68.4%

Industrials

FFTY
23.1%
IQM
17.1%

Healthcare

FFTY
12.8%
IQM
1.0%

Energy

FFTY
7.3%
IQM
2.3%

Financial Services

FFTY
6.7%
IQM

-

Basic Materials

FFTY
2.9%
IQM

-

Communication Services

FFTY
2.8%
IQM
2.3%

Consumer Defensive

FFTY
2.8%
IQM

-

Consumer Cyclical

FFTY
2.3%
IQM
2.9%

Utilities

FFTY
2.1%
IQM
3.2%

Real Estate

FFTY

-

IQM

-

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Return for Risk

FFTY vs. IQM — Risk / Return Rank

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

FFTY
FFTY Risk / Return Rank: 3030
Overall Rank
FFTY Sharpe Ratio Rank: 2929
Sharpe Ratio Rank
FFTY Sortino Ratio Rank: 2727
Sortino Ratio Rank
FFTY Omega Ratio Rank: 2929
Omega Ratio Rank
FFTY Calmar Ratio Rank: 3333
Calmar Ratio Rank
FFTY Martin Ratio Rank: 3030
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.

FFTY vs. IQM - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Innovator IBD 50 ETF (FFTY) 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.


FFTYIQMDifference
Sharpe ratioReturn per unit of total volatility

-1.09

Sortino ratioReturn per unit of downside risk

-1.08

Omega ratioGain probability vs. loss probability

1.19

1.35

-0.16

Calmar ratioReturn relative to maximum drawdown

1.57

4.52

-2.94

Martin ratioReturn relative to average drawdown

4.14

14.13

-9.98

FFTY vs. IQM - Sharpe Ratio Comparison

The current FFTY Sharpe Ratio is 1.02, which is lower than the IQM Sharpe Ratio of 2.11. The chart below compares the historical Sharpe Ratios of FFTY 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

FFTY vs. IQM - Drawdown Comparison

The maximum FFTY drawdown since its inception was -59.46%, which is greater than IQM's maximum drawdown of -44.91%. Use the drawdown chart below to compare losses from any high point for FFTY and IQM.


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Drawdown Indicators


FFTYIQMDifference

Max Drawdown

Largest peak-to-trough decline

-59.46%

-44.91%

-14.55%

Max Drawdown (1Y)

Largest decline over 1 year

-23.29%

-14.71%

-8.58%

Max Drawdown (3Y)

Largest decline over 3 years

-29.60%

-30.42%

+0.82%

Max Drawdown (5Y)

Largest decline over 5 years

-59.46%

-44.91%

-14.55%

Max Drawdown (10Y)

Largest decline over 10 years

-59.46%

Current Drawdown

Current decline from peak

-14.76%

-6.20%

-8.56%

Average Drawdown

Average peak-to-trough decline

-22.34%

-12.18%

-10.16%

Ulcer Index

Depth and duration of drawdowns from previous peaks

8.82%

4.69%

+4.13%

Volatility

FFTY vs. IQM - Volatility Comparison

The current volatility for Innovator IBD 50 ETF (FFTY) is 13.44%, while Franklin Intelligent Machines ETF (IQM) has a volatility of 15.34%. This indicates that FFTY 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


FFTYIQMDifference

Volatility (1M)

Calculated over the trailing 1-month period

13.44%

15.34%

-1.90%

Volatility (6M)

Calculated over the trailing 6-month period

28.50%

26.16%

+2.34%

Volatility (1Y)

Calculated over the trailing 1-year period

35.99%

31.47%

+4.52%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

29.63%

29.56%

+0.07%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

27.67%

31.10%

-3.43%

FFTY vs. IQM - Expense Ratio Comparison

FFTY has a 0.80% expense ratio, which is higher than IQM's 0.50% expense ratio.


Dividends

FFTY vs. IQM - Dividend Comparison

FFTY's dividend yield for the trailing twelve months is around 1.11%, while IQM has not paid dividends to shareholders.


PositionTTM202520242023202220212020201920182017
FFTY
Innovator IBD 50 ETF
1.11%1.35%0.91%0.65%2.75%0.22%0.00%0.00%0.00%0.17%
IQM
Franklin Intelligent Machines ETF
0.00%0.00%0.00%0.00%0.00%0.17%0.01%0.00%0.00%0.00%

Frequently Asked Questions


FFTY and IQM 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.

IQM has higher volatility (15.34%) compared to FFTY (13.44%). In terms of maximum drawdown, FFTY dropped -59.46% vs IQM's -44.91%.

On 5-year performance, IQM leads with 20.13% vs -0.44% for FFTY. On fees, IQM is cheaper at 0.50% per year. On volatility, FFTY has been the lower-risk option at 13.44%. 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 -0.44%. 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 0.80% for FFTY.

FFTY has the higher dividend yield at 1.11%, compared with 0.00% for IQM.

They also come from different issuers: Innovator and Franklin Templeton. Their fees differ too: 0.80% for FFTY and 0.50% for IQM.

IQM currently has the higher Sharpe Ratio (2.11 vs 1.02), 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 FFTY and IQM

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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