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LRNZ vs. FDRR
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

LRNZ vs. FDRR - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in TrueShares Technology, AI & Deep Learning ETF (LRNZ) and Fidelity Dividend ETF for Rising Rates (FDRR). 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*

FDRR

1D
0.21%
1M
1.82%
6M
10.47%
YTD
11.46%
1Y
24.87%
3Y*
19.84%
5Y*
12.63%
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

LRNZ vs. FDRR - Yearly Performance Comparison


Correlation

The correlation between LRNZ and FDRR 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. FDRR - Sectors Allocation Comparison


Sectors
LRNZ
FDRR

Technology

82.1%
38.2%

Healthcare

15.0%
9.3%

Communication Services

2.9%
10.1%

Basic Materials

-

2.0%

Consumer Cyclical

-

8.2%

Consumer Defensive

-

4.5%

Energy

-

3.2%

Financial Services

-

11.3%

Industrials

-

8.3%

Real Estate

-

2.8%

Utilities

-

2.1%

Technology

LRNZ
82.1%
FDRR
38.2%

Healthcare

LRNZ
15.0%
FDRR
9.3%

Communication Services

LRNZ
2.9%
FDRR
10.1%

Basic Materials

LRNZ

-

FDRR
2.0%

Consumer Cyclical

LRNZ

-

FDRR
8.2%

Consumer Defensive

LRNZ

-

FDRR
4.5%

Energy

LRNZ

-

FDRR
3.2%

Financial Services

LRNZ

-

FDRR
11.3%

Industrials

LRNZ

-

FDRR
8.3%

Real Estate

LRNZ

-

FDRR
2.8%

Utilities

LRNZ

-

FDRR
2.1%

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Return for Risk

LRNZ vs. FDRR — 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.


FDRR
FDRR Risk / Return Rank: 8282
Overall Rank
FDRR Sharpe Ratio Rank: 8787
Sharpe Ratio Rank
FDRR Sortino Ratio Rank: 8686
Sortino Ratio Rank
FDRR Omega Ratio Rank: 8585
Omega Ratio Rank
FDRR Calmar Ratio Rank: 7272
Calmar Ratio Rank
FDRR Martin Ratio Rank: 7878
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. FDRR - Risk-Adjusted Trends Comparison

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


LRNZFDRRDifference
Sharpe ratioReturn per unit of total volatility

Sortino ratioReturn per unit of downside risk

Omega ratioGain probability vs. loss probability

1.41

Calmar ratioReturn relative to maximum drawdown

2.93

Martin ratioReturn relative to average drawdown

11.58

LRNZ vs. FDRR - Sharpe Ratio Comparison


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Drawdowns

LRNZ vs. FDRR - Drawdown Comparison

The maximum LRNZ drawdown since its inception was -5.22%, smaller than the maximum FDRR drawdown of -36.52%. Use the drawdown chart below to compare losses from any high point for LRNZ and FDRR.


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Drawdown Indicators


LRNZFDRRDifference

Max Drawdown

Largest peak-to-trough decline

-5.22%

-36.52%

+31.30%

Max Drawdown (1Y)

Largest decline over 1 year

-8.52%

Max Drawdown (3Y)

Largest decline over 3 years

-18.04%

Max Drawdown (5Y)

Largest decline over 5 years

-20.92%

Current Drawdown

Current decline from peak

-5.22%

0.00%

-5.22%

Average Drawdown

Average peak-to-trough decline

-2.24%

-3.98%

+1.74%

Ulcer Index

Depth and duration of drawdowns from previous peaks

2.15%

Volatility

LRNZ vs. FDRR - Volatility Comparison


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Volatility by Period


LRNZFDRRDifference

Volatility (1M)

Calculated over the trailing 1-month period

2.40%

Volatility (6M)

Calculated over the trailing 6-month period

8.74%

Volatility (1Y)

Calculated over the trailing 1-year period

36.71%

11.16%

+25.55%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

36.71%

15.01%

+21.70%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

36.71%

16.81%

+19.90%

LRNZ vs. FDRR - Expense Ratio Comparison

LRNZ has a 0.68% expense ratio, which is higher than FDRR's 0.15% expense ratio.


Dividends

LRNZ vs. FDRR - Dividend Comparison

LRNZ has not paid dividends to shareholders, while FDRR's dividend yield for the trailing twelve months is around 2.09%.


PositionTTM2025202420232022202120202019201820172016
FDRR
Fidelity Dividend ETF for Rising Rates
2.09%2.21%2.61%2.93%2.75%2.09%2.85%2.89%3.20%2.89%0.61%
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%

Frequently Asked Questions


LRNZ and FDRR 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, FDRR is cheaper at 0.15% per year. The better choice depends on whether you care most about return, fees, risk, or income.

FDRR is cheaper with a 0.15% expense ratio, compared with 0.68% for LRNZ.

FDRR has the higher dividend yield at 2.09%, compared with 0.00% for LRNZ.

LRNZ is categorized as Large Cap Growth Equities, while FDRR is Large Cap Blend Equities. They also come from different issuers: TrueMark Investments and Fidelity. Their fees differ too: 0.68% for LRNZ and 0.15% for FDRR.

Portfolio Optimizer

Find the right allocation for LRNZ and FDRR

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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