Professional Seasonal Analysis for Trading

Listed Funds Trust TrueShares Technology, AI & Deep Learning ETF (LRNZ)

Seasonality Analysis

ETFs 7 Years Analyzed

Listed Funds Trust TrueShares Technology, AI & Deep Learning ETF Annual Seasonality Statistics

14.16%
Avg Annual Return
54.4%
Avg Monthly Win Rate
8/12
Positive Months
7
Years Analyzed

Listed Funds Trust TrueShares Technology, AI & Deep Learning ETF Monthly Seasonality Performance

Month Avg Return Win Rate Strength
January 2.06%
67%
Strong
February -3.54%
17%
Very Weak
March WORST -4.67%
29%
Very Weak
April -0.35%
57%
Weak
May BEST 6.59%
67%
Strong
June 5.02%
83%
Very Strong
July 1.92%
67%
Strong
August 2.07%
67%
Strong
September -2.31%
33%
Very Weak
October 2.02%
50%
Weak
November 4.81%
50%
Weak
December 0.54%
67%
Moderate

Listed Funds Trust TrueShares Technology, AI & Deep Learning ETF 2026 vs Historical Pattern

Current Position
34.65
Historical Avg Position
32.33
Deviation
+2.32
Performance
On Track

Listed Funds Trust TrueShares Technology, AI & Deep Learning ETF Interactive Seasonality Chart

Interactive Seasonality Chart

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Listed Funds Trust TrueShares Technology, AI & Deep Learning ETF Pattern Scanner

Pattern Scanner

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Listed Funds Trust TrueShares Technology, AI & Deep Learning ETF Seasonal Historical Performance

Historical Performance

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About Listed Funds Trust TrueShares Technology, AI & Deep Learning ETF (LRNZ) Seasonality

Listed Funds Trust TrueShares Technology, AI & Deep Learning ETF (LRNZ) has been analyzed using 7 years of historical data to identify seasonal patterns. Classified under ETFs, Listed Funds Trust TrueShares Technology, AI & Deep Learning ETF shows distinct seasonal tendencies based on historical data.

The strongest month for Listed Funds Trust TrueShares Technology, AI & Deep Learning ETF is historically May, with an average return of 6.59% and a win rate of 67%. Conversely, March tends to be the weakest month, averaging -4.67% return.

Looking at the full calendar year, Listed Funds Trust TrueShares Technology, AI & Deep Learning ETF has an average annual return of 14.16% with an overall monthly win rate of 54.4%. Out of 12 months, 8 typically show positive average returns.

The seasonal pattern for Listed Funds Trust TrueShares Technology, AI & Deep Learning ETF has a consistency score of 67.1 (Good), based on 7 years of data. Higher consistency means the seasonal pattern has been more reliable across different market conditions.

Listed Funds Trust TrueShares Technology, AI & Deep Learning ETF Seasonality FAQ

What is the best month to buy Listed Funds Trust TrueShares Technology, AI & Deep Learning ETF (LRNZ)?

Historically, May has been the best month for Listed Funds Trust TrueShares Technology, AI & Deep Learning ETF, with an average return of 6.59% and a win rate of 67%. However, past performance does not guarantee future results.

What is the worst month for Listed Funds Trust TrueShares Technology, AI & Deep Learning ETF (LRNZ)?

Based on historical data, March has been the weakest month for Listed Funds Trust TrueShares Technology, AI & Deep Learning ETF, with an average return of -4.67%. This is a historical observation and does not guarantee future results.

How reliable is LRNZ seasonality data?

The seasonality analysis for Listed Funds Trust TrueShares Technology, AI & Deep Learning ETF is based on 7 years of historical price data. While seasonal patterns can provide useful insights, they should be combined with other forms of analysis. Past patterns do not guarantee future performance.

How can I use Listed Funds Trust TrueShares Technology, AI & Deep Learning ETF seasonality in my trading?

Use Listed Funds Trust TrueShares Technology, AI & Deep Learning ETF (LRNZ) seasonality as one factor in your analysis. Identify historically strong and weak months, combine with other research methods. SeasOptima provides premium tools including interactive charts, pattern scanning, and historical performance data for deeper analysis.

More ETFs Seasonality Analysis

Statistical information based on historical data. Does not constitute investment advice or recommendation. Past performance does not guarantee future results.