Professional Seasonal Analysis for Trading

Dimensional ETF Trust Dimensional National Municipal Bond ETF (DFNM)

Seasonality Analysis

ETFs 5 Years Analyzed

Dimensional ETF Trust Dimensional National Municipal Bond ETF Annual Seasonality Statistics

-1.40%
Avg Annual Return
46.3%
Avg Monthly Win Rate
4/12
Positive Months
5
Years Analyzed

Dimensional ETF Trust Dimensional National Municipal Bond ETF Monthly Seasonality Performance

Month Avg Return Win Rate Strength
January 0.13%
60%
Moderate
February -0.45%
40%
Weak
March WORST -0.69%
20%
Very Weak
April -0.60%
20%
Very Weak
May -0.01%
50%
Weak
June 0.19%
75%
Moderate
July 0.38%
50%
Weak
August -0.61%
25%
Very Weak
September -0.58%
50%
Weak
October -0.47%
25%
Very Weak
November BEST 1.36%
100%
Moderate
December -0.05%
40%
Weak

Dimensional ETF Trust Dimensional National Municipal Bond ETF 2026 vs Historical Pattern

Current Position
48.08
Historical Avg Position
41.67
Deviation
+6.41
Performance
Above Average

Dimensional ETF Trust Dimensional National Municipal Bond ETF Interactive Seasonality Chart

Interactive Seasonality Chart

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Dimensional ETF Trust Dimensional National Municipal Bond ETF Pattern Scanner

Pattern Scanner

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Dimensional ETF Trust Dimensional National Municipal Bond ETF Seasonal Historical Performance

Historical Performance

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About Dimensional ETF Trust Dimensional National Municipal Bond ETF (DFNM) Seasonality

Dimensional ETF Trust Dimensional National Municipal Bond ETF (DFNM) has been analyzed using 5 years of historical data to identify seasonal patterns. Classified under ETFs, Dimensional ETF Trust Dimensional National Municipal Bond ETF shows distinct seasonal tendencies based on historical data.

The strongest month for Dimensional ETF Trust Dimensional National Municipal Bond ETF is historically November, with an average return of 1.36% and a win rate of 100%. Conversely, March tends to be the weakest month, averaging -0.69% return.

Looking at the full calendar year, Dimensional ETF Trust Dimensional National Municipal Bond ETF has an average annual return of -1.40% with an overall monthly win rate of 46.3%. Out of 12 months, 4 typically show positive average returns.

The seasonal pattern for Dimensional ETF Trust Dimensional National Municipal Bond ETF has a consistency score of 61.4 (Good), based on 6 years of data. Higher consistency means the seasonal pattern has been more reliable across different market conditions.

Dimensional ETF Trust Dimensional National Municipal Bond ETF Seasonality FAQ

What is the best month to buy Dimensional ETF Trust Dimensional National Municipal Bond ETF (DFNM)?

Historically, November has been the best month for Dimensional ETF Trust Dimensional National Municipal Bond ETF, with an average return of 1.36% and a win rate of 100%. However, past performance does not guarantee future results.

What is the worst month for Dimensional ETF Trust Dimensional National Municipal Bond ETF (DFNM)?

Based on historical data, March has been the weakest month for Dimensional ETF Trust Dimensional National Municipal Bond ETF, with an average return of -0.69%. This is a historical observation and does not guarantee future results.

How reliable is DFNM seasonality data?

The seasonality analysis for Dimensional ETF Trust Dimensional National Municipal Bond ETF is based on 5 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 Dimensional ETF Trust Dimensional National Municipal Bond ETF seasonality in my trading?

Use Dimensional ETF Trust Dimensional National Municipal Bond ETF (DFNM) 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.