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XCOR vs. IQM
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

XCOR vs. IQM - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Fundx ETF (XCOR) 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, XCOR achieves a 11.62% return, which is significantly lower than IQM's 25.62% return.


XCOR

1D
2.74%
1M
2.45%
6M
10.43%
YTD
11.62%
1Y
21.06%
3Y*
21.04%
5Y*
10Y*
ALL TIME*
20.38%

IQM

1D
5.09%
1M
-1.65%
6M
18.23%
YTD
25.62%
1Y
38.59%
3Y*
32.37%
5Y*
17.02%
10Y*
ALL TIME*
26.25%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Liquidity Comparison


PositionAvg. Volume Value (2W)Avg. Volume Value (1M)Avg. Volume Value (3M)
$951.27K$724.17K$941.24K
$177.01K$116.94K$138.58K

XCOR vs. IQM - Yearly Performance Comparison


2026 (YTD)2025202420232022
XCOR
Fundx ETF
11.62%12.50%29.57%14.34%8.71%
IQM
Franklin Intelligent Machines ETF
25.62%30.76%31.03%41.06%13.55%

Correlation

The correlation between XCOR and IQM is 0.87, meaning they have usually moved in the same direction, including during past declines.


Correlation
Correlation (1Y)
Focuses on recent behavior, but can change the most.

0.87

Correlation (3Y)
Balances recent behavior with more history.

0.88

Correlation (All Time)
Calculated using the full available price history since Oct 17, 2022

0.86

The correlation between XCOR and IQM has been stable across timeframes, ranging from 0.86 to 0.88 - a consistent structural relationship.

XCOR vs. IQM - Sectors Allocation Comparison


Sectors
XCOR
IQM

Technology

51.1%
70.5%

Communication Services

11.3%
1.1%

Consumer Cyclical

9.0%
2.7%

Industrials

8.8%
14.8%

Financial Services

6.3%

-

Healthcare

6.0%
1.0%

Consumer Defensive

2.9%

-

Energy

2.2%
3.1%

Basic Materials

0.9%

-

Real Estate

0.7%

-

Utilities

0.7%
3.5%

Technology

XCOR
51.1%
IQM
70.5%

Communication Services

XCOR
11.3%
IQM
1.1%

Consumer Cyclical

XCOR
9.0%
IQM
2.7%

Industrials

XCOR
8.8%
IQM
14.8%

Financial Services

XCOR
6.3%
IQM

-

Healthcare

XCOR
6.0%
IQM
1.0%

Consumer Defensive

XCOR
2.9%
IQM

-

Energy

XCOR
2.2%
IQM
3.1%

Basic Materials

XCOR
0.9%
IQM

-

Real Estate

XCOR
0.7%
IQM

-

Utilities

XCOR
0.7%
IQM
3.5%

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Return for Risk

XCOR vs. IQM — Risk / Return Rank

Compare historical risk-adjusted metric ranks over the past 12 months.

XCOR
XCOR Risk / Return Rank: 4949
Overall Rank
XCOR Sharpe Ratio Rank: 4747
Sharpe Ratio Rank
XCOR Sortino Ratio Rank: 4646
Sortino Ratio Rank
XCOR Omega Ratio Rank: 4545
Omega Ratio Rank
XCOR Calmar Ratio Rank: 5151
Calmar Ratio Rank
XCOR Martin Ratio Rank: 5555
Martin Ratio Rank

IQM
IQM Risk / Return Rank: 3939
Overall Rank
IQM Sharpe Ratio Rank: 3838
Sharpe Ratio Rank
IQM Sortino Ratio Rank: 3737
Sortino Ratio Rank
IQM Omega Ratio Rank: 3838
Omega Ratio Rank
IQM Calmar Ratio Rank: 3939
Calmar Ratio Rank
IQM Martin Ratio Rank: 4646
Martin Ratio Rank
The rank (0–100) uses a weighted average of the Sharpe, Sortino, Omega, Calmar, and Martin percentile ranks for the trailing 12 months. Higher means stronger historical risk-adjusted performance within the peer group.

XCOR vs. IQM - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Fundx ETF (XCOR) 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.


XCORIQMDifference
Sharpe ratioReturn per unit of total volatility

+0.27

Sortino ratioReturn per unit of downside risk

+0.38

Omega ratioGain probability vs. loss probability

1.24

1.20

+0.04

Calmar ratioReturn relative to maximum drawdown

2.09

1.53

+0.56

Martin ratioReturn relative to average drawdown

7.36

5.76

+1.60

XCOR vs. IQM - Sharpe Ratio Comparison

The current XCOR Sharpe Ratio is 1.34, which is comparable to the IQM Sharpe Ratio of 1.07. The chart below compares the historical Sharpe Ratios of XCOR 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

XCOR vs. IQM - Drawdown Comparison

The maximum XCOR drawdown since its inception was -22.54%, smaller than the maximum IQM drawdown of -44.91%. Use the drawdown chart below to compare losses from any high point for XCOR and IQM.


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Drawdown Indicators


XCORIQMDifference

Max Drawdown

Largest peak-to-trough decline

-22.54%

-44.91%

+22.37%

Max Drawdown (1Y)

Largest decline over 1 year

-10.10%

-25.28%

+15.18%

Max Drawdown (3Y)

Largest decline over 3 years

-22.54%

-30.42%

+7.88%

Max Drawdown (5Y)

Largest decline over 5 years

-44.91%

Current Drawdown

Current decline from peak

-2.29%

-12.81%

+10.52%

Average Drawdown

Average peak-to-trough decline

-3.16%

-12.20%

+9.04%

Ulcer Index

Depth and duration of drawdowns from previous peaks

2.87%

6.71%

-3.84%

Volatility

XCOR vs. IQM - Volatility Comparison

The current volatility for Fundx ETF (XCOR) is 7.05%, while Franklin Intelligent Machines ETF (IQM) has a volatility of 16.19%. This indicates that XCOR 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


XCORIQMDifference

Volatility (1M)

Calculated over the trailing 1-month period

7.05%

16.19%

-9.14%

Volatility (6M)

Calculated over the trailing 6-month period

13.65%

31.51%

-17.86%

Volatility (1Y)

Calculated over the trailing 1-year period

15.84%

36.44%

-20.60%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

17.44%

30.72%

-13.28%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

17.44%

31.74%

-14.30%

XCOR vs. IQM - Expense Ratio Comparison

XCOR has a 1.27% expense ratio, which is higher than IQM's 0.50% expense ratio.


Dividends

XCOR vs. IQM - Dividend Comparison

XCOR's dividend yield for the trailing twelve months is around 0.38%, while IQM has not paid dividends to shareholders.


PositionTTM202520242023202220212020
IQM
Franklin Intelligent Machines ETF
0.00%0.00%0.00%0.00%0.00%0.17%0.01%
XCOR
Fundx ETF
0.38%0.43%0.00%0.95%2.52%0.00%0.00%

Frequently Asked Questions


XCOR and IQM 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.

IQM has higher volatility (16.19%) compared to XCOR (7.05%). In terms of maximum drawdown, XCOR dropped -22.54% vs IQM's -44.91%.

On 3-year performance, IQM leads with 32.37% vs 21.04% for XCOR. On fees, IQM is cheaper at 0.50% per year. On volatility, XCOR has been the lower-risk option at 7.05%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 3-year period, IQM has performed better with a 32.37% return vs 21.04%. 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 1.27% for XCOR.

XCOR has the higher dividend yield at 0.38%, compared with 0.00% for IQM.

XCOR is categorized as Large Cap Growth Equities, while IQM is Technology Equities. They also come from different issuers: FundX and Franklin Templeton. Their fees differ too: 1.27% for XCOR and 0.50% for IQM.

XCOR currently has the higher Sharpe Ratio (1.34 vs 1.07), 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 XCOR 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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