Professional Seasonal Analysis for Trading

iShares Asia / Pacific Dividend 30 Index Fund Exchange Traded Fund (DVYA)

Seasonality Analysis

ETFs 15 Years Analyzed

iShares Asia / Pacific Dividend 30 Index Fund Exchange Traded Fund Annual Seasonality Statistics

-0.24%
Avg Annual Return
50.2%
Avg Monthly Win Rate
6/12
Positive Months
15
Years Analyzed

iShares Asia / Pacific Dividend 30 Index Fund Exchange Traded Fund Monthly Seasonality Performance

Month Avg Return Win Rate Strength
January 1.39%
64%
Moderate
February 0.58%
60%
Moderate
March WORST -2.47%
27%
Very Weak
April BEST 2.53%
73%
Strong
May -1.01%
43%
Weak
June -1.68%
43%
Weak
July 1.75%
64%
Strong
August -0.58%
29%
Very Weak
September -2.37%
36%
Very Weak
October 0.22%
50%
Weak
November 1.62%
64%
Strong
December -0.21%
50%
Weak

iShares Asia / Pacific Dividend 30 Index Fund Exchange Traded Fund 2026 vs Historical Pattern

Current Position
82.11
Historical Avg Position
54.56
Deviation
+27.55
Performance
Significantly Above Average

iShares Asia / Pacific Dividend 30 Index Fund Exchange Traded Fund Interactive Seasonality Chart

Interactive Seasonality Chart

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iShares Asia / Pacific Dividend 30 Index Fund Exchange Traded Fund Pattern Scanner

Pattern Scanner

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iShares Asia / Pacific Dividend 30 Index Fund Exchange Traded Fund Seasonal Historical Performance

Historical Performance

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About iShares Asia / Pacific Dividend 30 Index Fund Exchange Traded Fund (DVYA) Seasonality

iShares Asia / Pacific Dividend 30 Index Fund Exchange Traded Fund (DVYA) has been analyzed using 15 years of historical data to identify seasonal patterns. Classified under ETFs, iShares Asia / Pacific Dividend 30 Index Fund Exchange Traded Fund shows distinct seasonal tendencies based on historical data.

The strongest month for iShares Asia / Pacific Dividend 30 Index Fund Exchange Traded Fund is historically April, with an average return of 2.53% and a win rate of 73%. Conversely, March tends to be the weakest month, averaging -2.47% return.

Looking at the full calendar year, iShares Asia / Pacific Dividend 30 Index Fund Exchange Traded Fund has an average annual return of -0.24% with an overall monthly win rate of 50.2%. Out of 12 months, 6 typically show positive average returns.

The seasonal pattern for iShares Asia / Pacific Dividend 30 Index Fund Exchange Traded Fund has a consistency score of 39.6 (Poor), based on 15 years of data. Higher consistency means the seasonal pattern has been more reliable across different market conditions.

iShares Asia / Pacific Dividend 30 Index Fund Exchange Traded Fund Seasonality FAQ

What is the best month to buy iShares Asia / Pacific Dividend 30 Index Fund Exchange Traded Fund (DVYA)?

Historically, April has been the best month for iShares Asia / Pacific Dividend 30 Index Fund Exchange Traded Fund, with an average return of 2.53% and a win rate of 73%. However, past performance does not guarantee future results.

What is the worst month for iShares Asia / Pacific Dividend 30 Index Fund Exchange Traded Fund (DVYA)?

Based on historical data, March has been the weakest month for iShares Asia / Pacific Dividend 30 Index Fund Exchange Traded Fund, with an average return of -2.47%. This is a historical observation and does not guarantee future results.

How reliable is DVYA seasonality data?

The seasonality analysis for iShares Asia / Pacific Dividend 30 Index Fund Exchange Traded Fund is based on 15 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 iShares Asia / Pacific Dividend 30 Index Fund Exchange Traded Fund seasonality in my trading?

Use iShares Asia / Pacific Dividend 30 Index Fund Exchange Traded Fund (DVYA) 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.