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LRNZ vs. ROUS
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

LRNZ vs. ROUS - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in TrueShares Technology, AI & Deep Learning ETF (LRNZ) and Hartford Multifactor US Equity ETF (ROUS). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period


LRNZ

1D
-3.48%
1M
6M
YTD
1Y
3Y*
5Y*
10Y*

ROUS

1D
0.11%
1M
-1.14%
6M
11.42%
YTD
15.51%
1Y
25.72%
3Y*
18.63%
5Y*
12.36%
10Y*
12.80%
*Multi-year figures are annualized to reflect compound growth (CAGR)

LRNZ vs. ROUS - Yearly Performance Comparison


Correlation

The correlation between LRNZ and ROUS is -0.20, meaning they tend to move in opposite directions. This is especially valuable for risk management - when one declines, the other has historically tended to hold steady or rise.


Correlation
Correlation (All Time)
Calculated using the full available price history since Jul 10, 2026

-0.20

LRNZ vs. ROUS - Sectors Allocation Comparison


Sectors
LRNZ
ROUS

Technology

82.1%
37.3%

Healthcare

15.0%
10.3%

Communication Services

2.9%
8.1%

Basic Materials

-

2.1%

Consumer Cyclical

-

9.1%

Consumer Defensive

-

5.5%

Energy

-

2.6%

Financial Services

-

9.9%

Industrials

-

9.8%

Real Estate

-

2.0%

Utilities

-

3.5%

Technology

LRNZ
82.1%
ROUS
37.3%

Healthcare

LRNZ
15.0%
ROUS
10.3%

Communication Services

LRNZ
2.9%
ROUS
8.1%

Basic Materials

LRNZ

-

ROUS
2.1%

Consumer Cyclical

LRNZ

-

ROUS
9.1%

Consumer Defensive

LRNZ

-

ROUS
5.5%

Energy

LRNZ

-

ROUS
2.6%

Financial Services

LRNZ

-

ROUS
9.9%

Industrials

LRNZ

-

ROUS
9.8%

Real Estate

LRNZ

-

ROUS
2.0%

Utilities

LRNZ

-

ROUS
3.5%

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Return for Risk

LRNZ vs. ROUS — Risk / Return Rank

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

LRNZ

Risk / return metrics aren't available yet — we need at least 12 months of trading data to calculate them.


ROUS
ROUS Risk / Return Rank: 8888
Overall Rank
ROUS Sharpe Ratio Rank: 8686
Sharpe Ratio Rank
ROUS Sortino Ratio Rank: 8787
Sortino Ratio Rank
ROUS Omega Ratio Rank: 8383
Omega Ratio Rank
ROUS Calmar Ratio Rank: 9090
Calmar Ratio Rank
ROUS Martin Ratio Rank: 9292
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. ROUS - Risk-Adjusted Trends Comparison

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


LRNZROUSDifference
Sharpe ratioReturn per unit of total volatility

Sortino ratioReturn per unit of downside risk

Omega ratioGain probability vs. loss probability

1.39

Calmar ratioReturn relative to maximum drawdown

4.33

Martin ratioReturn relative to average drawdown

17.39

LRNZ vs. ROUS - Sharpe Ratio Comparison


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Drawdowns

LRNZ vs. ROUS - Drawdown Comparison

The maximum LRNZ drawdown since its inception was -5.22%, smaller than the maximum ROUS drawdown of -35.51%. Use the drawdown chart below to compare losses from any high point for LRNZ and ROUS.


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Drawdown Indicators


LRNZROUSDifference

Max Drawdown

Largest peak-to-trough decline

-5.22%

-35.51%

+30.29%

Max Drawdown (1Y)

Largest decline over 1 year

-5.97%

Max Drawdown (3Y)

Largest decline over 3 years

-15.81%

Max Drawdown (5Y)

Largest decline over 5 years

-18.91%

Max Drawdown (10Y)

Largest decline over 10 years

-35.51%

Current Drawdown

Current decline from peak

-5.22%

-1.76%

-3.46%

Average Drawdown

Average peak-to-trough decline

-2.24%

-4.21%

+1.97%

Ulcer Index

Depth and duration of drawdowns from previous peaks

1.48%

Volatility

LRNZ vs. ROUS - Volatility Comparison


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Volatility by Period


LRNZROUSDifference

Volatility (1M)

Calculated over the trailing 1-month period

2.89%

Volatility (6M)

Calculated over the trailing 6-month period

8.92%

Volatility (1Y)

Calculated over the trailing 1-year period

36.71%

11.61%

+25.10%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

36.71%

14.44%

+22.27%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

36.71%

16.92%

+19.79%

LRNZ vs. ROUS - Expense Ratio Comparison

LRNZ has a 0.68% expense ratio, which is higher than ROUS's 0.19% expense ratio.


Dividends

LRNZ vs. ROUS - Dividend Comparison

LRNZ has not paid dividends to shareholders, while ROUS's dividend yield for the trailing twelve months is around 1.34%.


PositionTTM20252024202320222021202020192018201720162015
LRNZ
TrueShares Technology, AI & Deep Learning ETF
0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
ROUS
Hartford Multifactor US Equity ETF
1.34%1.52%1.62%1.91%1.88%1.38%2.01%2.12%1.89%1.54%1.97%1.62%

Frequently Asked Questions


LRNZ and ROUS have a correlation of -0.20, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

On fees, ROUS is cheaper at 0.19% per year. The better choice depends on whether you care most about return, fees, risk, or income.

ROUS is cheaper with a 0.19% expense ratio, compared with 0.68% for LRNZ.

ROUS has the higher dividend yield at 1.34%, compared with 0.00% for LRNZ.

They also come from different issuers: TrueMark Investments and Hartford. Their fees differ too: 0.68% for LRNZ and 0.19% for ROUS.

Portfolio Optimizer

Find the right allocation for LRNZ and ROUS

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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