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LRNZ vs. IQM
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

LRNZ vs. IQM - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in TrueShares Technology, AI & Deep Learning ETF (LRNZ) 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, LRNZ achieves a 30.91% return, which is significantly lower than IQM's 40.18% return.


LRNZ

1D
-1.80%
1M
33.80%
YTD
30.91%
6M
29.93%
1Y
47.93%
3Y*
26.33%
5Y*
8.67%
10Y*

IQM

1D
-0.37%
1M
11.94%
YTD
40.18%
6M
38.57%
1Y
75.07%
3Y*
37.62%
5Y*
22.22%
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

LRNZ vs. IQM - Yearly Performance Comparison


2026 (YTD)202520242023202220212020
LRNZ
TrueShares Technology, AI & Deep Learning ETF
30.91%22.27%2.01%67.11%-51.46%-0.96%87.82%
IQM
Franklin Intelligent Machines ETF
40.18%30.76%31.03%41.06%-33.36%25.18%74.64%

Correlation

The correlation between LRNZ and IQM is 0.65, 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

0.65

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

0.76

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

0.80

Correlation (All Time)
Calculated using the full available price history since Mar 3, 2020

0.78

The correlation between LRNZ and IQM shifts across timeframes, from 0.65 (1 year) to 0.80 (5 years), reflecting how their relationship changes across market environments.

LRNZ vs. IQM - Sectors Allocation Comparison


Sectors
LRNZ
IQM

Technology

78.4%
65.9%

Healthcare

16.3%
1.1%

Communication Services

5.3%
2.1%

Basic Materials

-

-

Consumer Cyclical

-

4.1%

Consumer Defensive

-

-

Energy

-

2.7%

Financial Services

-

-

Industrials

-

19.9%

Real Estate

-

-

Utilities

-

3.3%

Technology

LRNZ
78.4%
IQM
65.9%

Healthcare

LRNZ
16.3%
IQM
1.1%

Communication Services

LRNZ
5.3%
IQM
2.1%

Basic Materials

LRNZ

-

IQM

-

Consumer Cyclical

LRNZ

-

IQM
4.1%

Consumer Defensive

LRNZ

-

IQM

-

Energy

LRNZ

-

IQM
2.7%

Financial Services

LRNZ

-

IQM

-

Industrials

LRNZ

-

IQM
19.9%

Real Estate

LRNZ

-

IQM

-

Utilities

LRNZ

-

IQM
3.3%

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Return for Risk

LRNZ vs. IQM — Risk / Return Rank

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

LRNZ
LRNZ Risk / Return Rank: 4141
Overall Rank
LRNZ Sharpe Ratio Rank: 4848
Sharpe Ratio Rank
LRNZ Sortino Ratio Rank: 4646
Sortino Ratio Rank
LRNZ Omega Ratio Rank: 4343
Omega Ratio Rank
LRNZ Calmar Ratio Rank: 3636
Calmar Ratio Rank
LRNZ Martin Ratio Rank: 3030
Martin Ratio Rank

IQM
IQM Risk / Return Rank: 7878
Overall Rank
IQM Sharpe Ratio Rank: 8181
Sharpe Ratio Rank
IQM Sortino Ratio Rank: 6666
Sortino Ratio Rank
IQM Omega Ratio Rank: 7171
Omega Ratio Rank
IQM Calmar Ratio Rank: 8888
Calmar Ratio Rank
IQM Martin Ratio Rank: 8383
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.

LRNZ vs. IQM - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for TrueShares Technology, AI & Deep Learning ETF (LRNZ) 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.


LRNZIQMDifference
Sharpe ratioReturn per unit of total volatility

-1.00

Sortino ratioReturn per unit of downside risk

-0.83

Omega ratioGain probability vs. loss probability

1.28

1.43

-0.15

Calmar ratioReturn relative to maximum drawdown

1.79

5.13

-3.34

Martin ratioReturn relative to average drawdown

4.40

16.79

-12.39

LRNZ vs. IQM - Sharpe Ratio Comparison

The current LRNZ Sharpe Ratio is 1.67, which is lower than the IQM Sharpe Ratio of 2.67. The chart below compares the historical Sharpe Ratios of LRNZ 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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Sharpe Ratios by Period


LRNZIQMDifference

Sharpe Ratio (1Y)

Calculated over the trailing 1-year period

1.67

2.67

-1.00

Sharpe Ratio (5Y)

Calculated over the trailing 5-year period

0.23

0.77

-0.54

Sharpe Ratio (All Time)

Calculated using the full available price history

0.41

0.96

-0.55

Drawdowns

LRNZ vs. IQM - Drawdown Comparison

The maximum LRNZ drawdown since its inception was -61.33%, which is greater than IQM's maximum drawdown of -44.91%. Use the drawdown chart below to compare losses from any high point for LRNZ and IQM.


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Drawdown Indicators


LRNZIQMDifference

Max Drawdown

Largest peak-to-trough decline

-61.33%

-44.91%

-16.42%

Max Drawdown (1Y)

Largest decline over 1 year

-26.89%

-14.71%

-12.18%

Max Drawdown (3Y)

Largest decline over 3 years

-33.10%

-30.42%

-2.68%

Max Drawdown (5Y)

Largest decline over 5 years

-61.33%

-44.91%

-16.42%

Current Drawdown

Current decline from peak

-2.56%

-0.37%

-2.19%

Average Drawdown

Average peak-to-trough decline

-26.67%

-12.25%

-14.42%

Ulcer Index

Depth and duration of drawdowns from previous peaks

10.93%

4.49%

+6.44%

Volatility

LRNZ vs. IQM - Volatility Comparison

TrueShares Technology, AI & Deep Learning ETF (LRNZ) has a higher volatility of 10.33% compared to Franklin Intelligent Machines ETF (IQM) at 9.20%. This indicates that LRNZ's price experiences larger fluctuations and is considered to be riskier 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


LRNZIQMDifference

Volatility (1M)

Calculated over the trailing 1-month period

10.33%

9.20%

+1.13%

Volatility (6M)

Calculated over the trailing 6-month period

23.25%

22.92%

+0.33%

Volatility (1Y)

Calculated over the trailing 1-year period

28.88%

28.27%

+0.61%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

37.26%

28.91%

+8.35%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

37.64%

30.72%

+6.92%

LRNZ vs. IQM - Expense Ratio Comparison

LRNZ has a 0.68% expense ratio, which is higher than IQM's 0.50% expense ratio.


Dividends

LRNZ vs. IQM - Dividend Comparison

Neither LRNZ 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%
LRNZ
TrueShares Technology, AI & Deep Learning ETF
0.00%0.00%0.00%0.00%0.00%0.13%0.00%

Frequently Asked Questions


LRNZ and IQM have a correlation of 0.65, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

LRNZ has higher volatility (10.33%) compared to IQM (9.20%). In terms of maximum drawdown, LRNZ dropped -61.33% vs IQM's -44.91%.

On 5-year performance, IQM leads with 22.22% vs 8.67% for LRNZ. On fees, IQM is cheaper at 0.50% per year. On volatility, IQM has been the lower-risk option at 9.20%. 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 22.22% return vs 8.67%. 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 0.68% for LRNZ.

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

They also come from different issuers: TrueMark Investments and Franklin Templeton. Their fees differ too: 0.68% for LRNZ and 0.50% for IQM.

IQM currently has the higher Sharpe Ratio (2.67 vs 1.67), 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 LRNZ and IQM

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