DECZ vs. LRNZ
DECZ (TrueShares Structured Outcome (December) ETF) and LRNZ (TrueShares Technology, AI & Deep Learning ETF) are both exchange-traded funds - DECZ is a Defined Outcome fund tracking the S&P 500, while LRNZ is a Artificial Intelligence fund actively managed by TrueShares. DECZ is passively managed, while LRNZ is actively managed. Their 0.60 correlation means they have sometimes moved together and sometimes differently. DECZ charges 0.79%/yr vs 0.68%/yr for LRNZ.
Performance
DECZ vs. LRNZ - Performance Comparison
Loading charts...
Returns By Period
DECZ
- 1D
- 1.08%
- 1M
- 1.27%
- 6M
- 6.91%
- YTD
- 8.46%
- 1Y
- 16.70%
- 3Y*
- 15.04%
- 5Y*
- 10.60%
- 10Y*
- —
- ALL TIME*
- 12.05%
LRNZ
- 1D
- 1.50%
- 1M
- —
- 6M
- —
- YTD
- —
- 1Y
- —
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
- ALL TIME*
- —
Liquidity Comparison
| Position | Avg. Volume Value (2W) | Avg. Volume Value (1M) | Avg. Volume Value (3M) |
|---|---|---|---|
| $210.48K | $113.76K | $97.74K | |
| $105.88K | $133.30K | $133.30K |
DECZ vs. LRNZ - Yearly Performance Comparison
| 2026 (YTD) | |
|---|---|
DECZ TrueShares Structured Outcome (December) ETF | 0.64% |
LRNZ TrueShares Technology, AI & Deep Learning ETF | -4.80% |
Correlation
The correlation between DECZ and LRNZ is 0.60, which is moderate. They have sometimes moved together and sometimes differently, sharing some price drivers without tracking each other closely.
| Correlation | |
|---|---|
Correlation (All Time) Calculated using the full available price history since Jul 10, 2026 | 0.60 |
DECZ vs. LRNZ - Sectors Allocation Comparison
Sectors
DECZ
LRNZ
Technology
Financial Services
-
Communication Services
Consumer Cyclical
-
Healthcare
Industrials
-
Consumer Defensive
-
Energy
-
Utilities
-
Real Estate
-
Basic Materials
-
Technology
DECZ
LRNZ
Financial Services
DECZ
LRNZ
-
Communication Services
DECZ
LRNZ
Consumer Cyclical
DECZ
LRNZ
-
Healthcare
DECZ
LRNZ
Industrials
DECZ
LRNZ
-
Consumer Defensive
DECZ
LRNZ
-
Energy
DECZ
LRNZ
-
Utilities
DECZ
LRNZ
-
Real Estate
DECZ
LRNZ
-
Basic Materials
DECZ
LRNZ
-
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
DECZ vs. LRNZ — Risk / Return Rank
DECZ
LRNZ
Risk / return metrics aren't available yet — we need at least 12 months of trading data to calculate them.
DECZ vs. LRNZ - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for TrueShares Structured Outcome (December) ETF (DECZ) and TrueShares Technology, AI & Deep Learning ETF (LRNZ). 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.
| DECZ | LRNZ | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | — | — | |
| Sortino ratioReturn per unit of downside risk | — | — | |
| Omega ratioGain probability vs. loss probability | 1.28 | — | — |
| Calmar ratioReturn relative to maximum drawdown | 2.23 | — | — |
| Martin ratioReturn relative to average drawdown | 8.68 | — | — |
Loading charts...
Drawdowns
DECZ vs. LRNZ - Drawdown Comparison
The maximum DECZ drawdown since its inception was -16.57%, which is greater than LRNZ's maximum drawdown of -11.91%. Use the drawdown chart below to compare losses from any high point for DECZ and LRNZ.
Loading charts...
Drawdown Indicators
| DECZ | LRNZ | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -16.57% | -11.91% | -4.66% |
Max Drawdown (1Y)Largest decline over 1 year | -7.53% | — | — |
Max Drawdown (3Y)Largest decline over 3 years | -14.24% | — | — |
Max Drawdown (5Y)Largest decline over 5 years | -16.57% | — | — |
Current DrawdownCurrent decline from peak | -0.23% | -4.80% | +4.57% |
Average DrawdownAverage peak-to-trough decline | -3.02% | -5.70% | +2.68% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 1.93% | — | — |
Volatility
DECZ vs. LRNZ - Volatility Comparison
Loading charts...
Volatility by Period
| DECZ | LRNZ | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 3.06% | — | — |
Volatility (6M)Calculated over the trailing 6-month period | 8.20% | — | — |
Volatility (1Y)Calculated over the trailing 1-year period | 10.51% | 33.99% | -23.48% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 12.71% | 33.99% | -21.28% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 12.39% | 33.99% | -21.60% |
DECZ vs. LRNZ - Expense Ratio Comparison
DECZ has a 0.79% expense ratio, which is higher than LRNZ's 0.68% expense ratio.
Dividends
DECZ vs. LRNZ - Dividend Comparison
DECZ's dividend yield for the trailing twelve months is around 3.02%, while LRNZ has not paid dividends to shareholders.
| Position | TTM | 2025 | 2024 | 2023 | 2022 | 2021 |
|---|---|---|---|---|---|---|
DECZ TrueShares Structured Outcome (December) ETF | 3.02% | 3.28% | 2.55% | 1.23% | 1.44% | 0.46% |
LRNZ TrueShares Technology, AI & Deep Learning ETF | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Frequently Asked Questions
DECZ and LRNZ have a correlation of 0.60, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
On fees, LRNZ is cheaper at 0.68% per year. The better choice depends on whether you care most about return, fees, risk, or income.
LRNZ is cheaper with a 0.68% expense ratio, compared with 0.79% for DECZ.
DECZ has the higher dividend yield at 3.02%, compared with 0.00% for LRNZ.
DECZ is categorized as Defined Outcome, while LRNZ is Artificial Intelligence. Their fees differ too: 0.79% for DECZ and 0.68% for LRNZ.
Find the right allocation for DECZ and LRNZ
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