PortfoliosLab logoPortfoliosLab logo
IWLG vs. IQM
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

IWLG vs. IQM - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in NYLI Winslow Large Cap Growth ETF (IWLG) and Franklin Intelligent Machines ETF (IQM). The values are adjusted to include any dividend payments, if applicable.

Loading charts...

Returns By Period

In the year-to-date period, IWLG achieves a 5.56% return, which is significantly lower than IQM's 25.62% return.


IWLG

1D
2.81%
1M
3.33%
6M
10.45%
YTD
5.56%
1Y
9.25%
3Y*
21.69%
5Y*
10Y*
ALL TIME*
22.63%

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
$1.72M$1.42M$1.37M

IWLG vs. IQM - Yearly Performance Comparison


2026 (YTD)2025202420232022
IWLG
NYLI Winslow Large Cap Growth ETF
5.56%14.73%31.47%43.25%1.48%
IQM
Franklin Intelligent Machines ETF
25.62%30.76%31.03%41.06%4.40%

Correlation

The correlation between IWLG and IQM is 0.85, 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.

0.85

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

0.87

Correlation (All Time)
Calculated using the full available price history since Jun 23, 2022

0.89

The correlation between IWLG and IQM has been stable across timeframes, ranging from 0.85 to 0.89 - a consistent structural relationship.

IWLG vs. IQM - Sectors Allocation Comparison


Sectors
IWLG
IQM

Technology

44.9%
70.5%

Industrials

17.2%
14.8%

Communication Services

15.6%
1.1%

Consumer Cyclical

8.7%
2.7%

Financial Services

7.0%

-

Healthcare

5.4%
1.0%

Consumer Defensive

1.8%

-

Utilities

1.4%
3.5%

Basic Materials

1.2%

-

Energy

-

3.1%

Real Estate

-

-

Technology

IWLG
44.9%
IQM
70.5%

Industrials

IWLG
17.2%
IQM
14.8%

Communication Services

IWLG
15.6%
IQM
1.1%

Consumer Cyclical

IWLG
8.7%
IQM
2.7%

Financial Services

IWLG
7.0%
IQM

-

Healthcare

IWLG
5.4%
IQM
1.0%

Consumer Defensive

IWLG
1.8%
IQM

-

Utilities

IWLG
1.4%
IQM
3.5%

Basic Materials

IWLG
1.2%
IQM

-

Energy

IWLG

-

IQM
3.1%

Real Estate

IWLG

-

IQM

-

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

IWLG vs. IQM — Risk / Return Rank

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

IWLG
IWLG Risk / Return Rank: 1919
Overall Rank
IWLG Sharpe Ratio Rank: 2121
Sharpe Ratio Rank
IWLG Sortino Ratio Rank: 2020
Sortino Ratio Rank
IWLG Omega Ratio Rank: 2020
Omega Ratio Rank
IWLG Calmar Ratio Rank: 1818
Calmar Ratio Rank
IWLG Martin Ratio Rank: 1919
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.

IWLG vs. IQM - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for NYLI Winslow Large Cap Growth ETF (IWLG) 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.


IWLGIQMDifference
Sharpe ratioReturn per unit of total volatility

-0.57

Sortino ratioReturn per unit of downside risk

-0.73

Omega ratioGain probability vs. loss probability

1.10

1.20

-0.10

Calmar ratioReturn relative to maximum drawdown

0.48

1.53

-1.06

Martin ratioReturn relative to average drawdown

1.39

5.76

-4.37

IWLG vs. IQM - Sharpe Ratio Comparison

The current IWLG Sharpe Ratio is 0.49, which is lower than the IQM Sharpe Ratio of 1.07. The chart below compares the historical Sharpe Ratios of IWLG 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.


Loading charts...

Drawdowns

IWLG vs. IQM - Drawdown Comparison

The maximum IWLG drawdown since its inception was -23.19%, smaller than the maximum IQM drawdown of -44.91%. Use the drawdown chart below to compare losses from any high point for IWLG and IQM.


Loading charts...

Drawdown Indicators


IWLGIQMDifference

Max Drawdown

Largest peak-to-trough decline

-23.19%

-44.91%

+21.72%

Max Drawdown (1Y)

Largest decline over 1 year

-19.45%

-25.28%

+5.83%

Max Drawdown (3Y)

Largest decline over 3 years

-23.19%

-30.42%

+7.23%

Max Drawdown (5Y)

Largest decline over 5 years

-44.91%

Current Drawdown

Current decline from peak

-1.42%

-12.81%

+11.39%

Average Drawdown

Average peak-to-trough decline

-4.56%

-12.20%

+7.64%

Ulcer Index

Depth and duration of drawdowns from previous peaks

6.67%

6.71%

-0.04%

Volatility

IWLG vs. IQM - Volatility Comparison

The current volatility for NYLI Winslow Large Cap Growth ETF (IWLG) is 7.00%, while Franklin Intelligent Machines ETF (IQM) has a volatility of 16.19%. This indicates that IWLG 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.


Loading charts...

Volatility by Period


IWLGIQMDifference

Volatility (1M)

Calculated over the trailing 1-month period

7.00%

16.19%

-9.19%

Volatility (6M)

Calculated over the trailing 6-month period

15.47%

31.51%

-16.04%

Volatility (1Y)

Calculated over the trailing 1-year period

18.88%

36.44%

-17.56%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

21.20%

30.72%

-9.52%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

21.20%

31.74%

-10.54%

IWLG vs. IQM - Expense Ratio Comparison

Both IWLG and IQM have an expense ratio of 0.50%.


Dividends

IWLG vs. IQM - Dividend Comparison

Neither IWLG nor IQM has paid dividends to shareholders.


PositionTTM202520242023202220212020
IQM
Franklin Intelligent Machines ETF
0.00%0.00%0.00%0.00%0.00%0.17%0.01%
IWLG
NYLI Winslow Large Cap Growth ETF
0.00%0.00%1.34%0.01%0.05%0.00%0.00%

Frequently Asked Questions


IWLG and IQM have a correlation of 0.85, 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 IWLG (7.00%). In terms of maximum drawdown, IWLG dropped -23.19% vs IQM's -44.91%.

On 3-year performance, IQM leads with 32.37% vs 21.69% for IWLG. Both ETFs have the same 0.50% expense ratio. On volatility, IWLG has been the lower-risk option at 7.00%. 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 21.69%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

IWLG and IQM have the same expense ratio: 0.50% per year.

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

IWLG is categorized as Large Cap Growth Equities, while IQM is Technology Equities. They also come from different issuers: NYLI and Franklin Templeton.

IQM currently has the higher Sharpe Ratio (1.07 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 IWLG 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.

Open Portfolio Optimizer