Professional Seasonal Analysis for Trading

BondBloxx ETF Trust BondBloxx JP Morgan USD Emerging Markets 1-10 Year Bond ETF (XEMD)

Seasonality Analysis

ETFs 4 Years Analyzed

BondBloxx ETF Trust BondBloxx JP Morgan USD Emerging Markets 1-10 Year Bond ETF Annual Seasonality Statistics

7.04%
Avg Annual Return
68.1%
Avg Monthly Win Rate
8/12
Positive Months
4
Years Analyzed

BondBloxx ETF Trust BondBloxx JP Morgan USD Emerging Markets 1-10 Year Bond ETF Monthly Seasonality Performance

Month Avg Return Win Rate Strength
January 1.51%
100%
Strong
February -0.05%
75%
Weak
March -0.07%
50%
Weak
April 0.22%
50%
Weak
May 1.11%
100%
Moderate
June 1.18%
67%
Moderate
July 1.44%
100%
Moderate
August 0.26%
50%
Weak
September WORST -0.86%
50%
Weak
October 0.22%
50%
Weak
November BEST 2.84%
100%
Strong
December -0.74%
25%
Very Weak

BondBloxx ETF Trust BondBloxx JP Morgan USD Emerging Markets 1-10 Year Bond ETF 2026 vs Historical Pattern

Current Position
72.91
Historical Avg Position
33.01
Deviation
+39.9
Performance
Significantly Above Average

BondBloxx ETF Trust BondBloxx JP Morgan USD Emerging Markets 1-10 Year Bond ETF Interactive Seasonality Chart

Interactive Seasonality Chart

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BondBloxx ETF Trust BondBloxx JP Morgan USD Emerging Markets 1-10 Year Bond ETF Pattern Scanner

Pattern Scanner

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BondBloxx ETF Trust BondBloxx JP Morgan USD Emerging Markets 1-10 Year Bond ETF Seasonal Historical Performance

Historical Performance

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About BondBloxx ETF Trust BondBloxx JP Morgan USD Emerging Markets 1-10 Year Bond ETF (XEMD) Seasonality

BondBloxx ETF Trust BondBloxx JP Morgan USD Emerging Markets 1-10 Year Bond ETF (XEMD) has been analyzed using 4 years of historical data to identify seasonal patterns. Classified under ETFs, BondBloxx ETF Trust BondBloxx JP Morgan USD Emerging Markets 1-10 Year Bond ETF shows distinct seasonal tendencies based on historical data.

The strongest month for BondBloxx ETF Trust BondBloxx JP Morgan USD Emerging Markets 1-10 Year Bond ETF is historically November, with an average return of 2.84% and a win rate of 100%. Conversely, September tends to be the weakest month, averaging -0.86% return.

Looking at the full calendar year, BondBloxx ETF Trust BondBloxx JP Morgan USD Emerging Markets 1-10 Year Bond ETF has an average annual return of 7.04% with an overall monthly win rate of 68.1%. Out of 12 months, 8 typically show positive average returns.

The seasonal pattern for BondBloxx ETF Trust BondBloxx JP Morgan USD Emerging Markets 1-10 Year Bond ETF has a consistency score of 62.8 (Good), based on 5 years of data. Higher consistency means the seasonal pattern has been more reliable across different market conditions.

BondBloxx ETF Trust BondBloxx JP Morgan USD Emerging Markets 1-10 Year Bond ETF Seasonality FAQ

What is the best month to buy BondBloxx ETF Trust BondBloxx JP Morgan USD Emerging Markets 1-10 Year Bond ETF (XEMD)?

Historically, November has been the best month for BondBloxx ETF Trust BondBloxx JP Morgan USD Emerging Markets 1-10 Year Bond ETF, with an average return of 2.84% and a win rate of 100%. However, past performance does not guarantee future results.

What is the worst month for BondBloxx ETF Trust BondBloxx JP Morgan USD Emerging Markets 1-10 Year Bond ETF (XEMD)?

Based on historical data, September has been the weakest month for BondBloxx ETF Trust BondBloxx JP Morgan USD Emerging Markets 1-10 Year Bond ETF, with an average return of -0.86%. This is a historical observation and does not guarantee future results.

How reliable is XEMD seasonality data?

The seasonality analysis for BondBloxx ETF Trust BondBloxx JP Morgan USD Emerging Markets 1-10 Year Bond ETF is based on 4 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 BondBloxx ETF Trust BondBloxx JP Morgan USD Emerging Markets 1-10 Year Bond ETF seasonality in my trading?

Use BondBloxx ETF Trust BondBloxx JP Morgan USD Emerging Markets 1-10 Year Bond ETF (XEMD) 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.