Professional Seasonal Analysis for Trading

AIM ETF Products Trust AllianzIM U.S. Large Cap Buffer20 Nov ETF (NVBW)

Seasonality Analysis

ETFs 4 Years Analyzed

AIM ETF Products Trust AllianzIM U.S. Large Cap Buffer20 Nov ETF Annual Seasonality Statistics

8.32%
Avg Annual Return
77.8%
Avg Monthly Win Rate
7/12
Positive Months
4
Years Analyzed

AIM ETF Products Trust AllianzIM U.S. Large Cap Buffer20 Nov ETF Monthly Seasonality Performance

Month Avg Return Win Rate Strength
January 1.69%
100%
Strong
February -0.19%
50%
Weak
March -0.15%
50%
Weak
April 0.14%
50%
Weak
May 1.52%
100%
Strong
June 2.04%
100%
Strong
July 1.03%
100%
Moderate
August 0.92%
100%
Moderate
September WORST -0.37%
67%
Weak
October -0.23%
67%
Weak
November BEST 2.05%
100%
Strong
December -0.14%
50%
Weak

AIM ETF Products Trust AllianzIM U.S. Large Cap Buffer20 Nov ETF 2026 vs Historical Pattern

Current Position
44.3
Historical Avg Position
32.15
Deviation
+12.15
Performance
Significantly Above Average

AIM ETF Products Trust AllianzIM U.S. Large Cap Buffer20 Nov ETF Interactive Seasonality Chart

Interactive Seasonality Chart

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AIM ETF Products Trust AllianzIM U.S. Large Cap Buffer20 Nov ETF Pattern Scanner

Pattern Scanner

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AIM ETF Products Trust AllianzIM U.S. Large Cap Buffer20 Nov ETF Seasonal Historical Performance

Historical Performance

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About AIM ETF Products Trust AllianzIM U.S. Large Cap Buffer20 Nov ETF (NVBW) Seasonality

AIM ETF Products Trust AllianzIM U.S. Large Cap Buffer20 Nov ETF (NVBW) has been analyzed using 4 years of historical data to identify seasonal patterns. Classified under ETFs, AIM ETF Products Trust AllianzIM U.S. Large Cap Buffer20 Nov ETF shows distinct seasonal tendencies based on historical data.

The strongest month for AIM ETF Products Trust AllianzIM U.S. Large Cap Buffer20 Nov ETF is historically November, with an average return of 2.05% and a win rate of 100%. Conversely, September tends to be the weakest month, averaging -0.37% return.

Looking at the full calendar year, AIM ETF Products Trust AllianzIM U.S. Large Cap Buffer20 Nov ETF has an average annual return of 8.32% with an overall monthly win rate of 77.8%. Out of 12 months, 7 typically show positive average returns.

The seasonal pattern for AIM ETF Products Trust AllianzIM U.S. Large Cap Buffer20 Nov ETF has a consistency score of 68.4 (Good), based on 5 years of data. Higher consistency means the seasonal pattern has been more reliable across different market conditions.

AIM ETF Products Trust AllianzIM U.S. Large Cap Buffer20 Nov ETF Seasonality FAQ

What is the best month to buy AIM ETF Products Trust AllianzIM U.S. Large Cap Buffer20 Nov ETF (NVBW)?

Historically, November has been the best month for AIM ETF Products Trust AllianzIM U.S. Large Cap Buffer20 Nov ETF, with an average return of 2.05% and a win rate of 100%. However, past performance does not guarantee future results.

What is the worst month for AIM ETF Products Trust AllianzIM U.S. Large Cap Buffer20 Nov ETF (NVBW)?

Based on historical data, September has been the weakest month for AIM ETF Products Trust AllianzIM U.S. Large Cap Buffer20 Nov ETF, with an average return of -0.37%. This is a historical observation and does not guarantee future results.

How reliable is NVBW seasonality data?

The seasonality analysis for AIM ETF Products Trust AllianzIM U.S. Large Cap Buffer20 Nov 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 AIM ETF Products Trust AllianzIM U.S. Large Cap Buffer20 Nov ETF seasonality in my trading?

Use AIM ETF Products Trust AllianzIM U.S. Large Cap Buffer20 Nov ETF (NVBW) 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.