Professional Seasonal Analysis for Trading

EXPE (EXPE)

Seasonality Analysis

Stocks 21 Years Analyzed

EXPE Annual Seasonality Statistics

15.40%
Avg Annual Return
56.8%
Avg Monthly Win Rate
7/12
Positive Months
21
Years Analyzed

EXPE Monthly Seasonality Performance

Month Avg Return Win Rate Strength
January -0.53%
52%
Weak
February WORST -2.23%
48%
Weak
March 0.52%
57%
Moderate
April BEST 6.29%
67%
Strong
May -0.45%
60%
Weak
June 0.27%
65%
Moderate
July 4.51%
67%
Strong
August 1.71%
38%
Weak
September 0.69%
57%
Moderate
October -0.50%
57%
Weak
November 5.98%
67%
Strong
December -0.86%
48%
Weak

EXPE 2026 vs Historical Pattern

Current Position
61.11
Historical Avg Position
36.94
Deviation
+24.17
Performance
Significantly Above Average

EXPE Interactive Seasonality Chart

Interactive Seasonality Chart

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EXPE Pattern Scanner

Pattern Scanner

Discover recurring patterns, anomalies, and statistically frequent setups.

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EXPE Seasonal Historical Performance

Historical Performance

See historical average returns for EXPE across multiple timeframes.

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About EXPE (EXPE) Seasonality

EXPE (EXPE) has been analyzed using 21 years of historical data to identify seasonal patterns. Classified under Stocks, EXPE shows distinct seasonal tendencies based on historical data.

The strongest month for EXPE is historically April, with an average return of 6.29% and a win rate of 67%. Conversely, February tends to be the weakest month, averaging -2.23% return.

Looking at the full calendar year, EXPE has an average annual return of 15.40% with an overall monthly win rate of 56.8%. Out of 12 months, 7 typically show positive average returns.

The seasonal pattern for EXPE has a consistency score of 35.9 (Poor), based on 22 years of data. Higher consistency means the seasonal pattern has been more reliable across different market conditions.

EXPE Seasonality FAQ

What is the best month to buy EXPE (EXPE)?

Historically, April has been the best month for EXPE, with an average return of 6.29% and a win rate of 67%. However, past performance does not guarantee future results.

What is the worst month for EXPE (EXPE)?

Based on historical data, February has been the weakest month for EXPE, with an average return of -2.23%. This is a historical observation and does not guarantee future results.

How reliable is EXPE seasonality data?

The seasonality analysis for EXPE is based on 21 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 EXPE seasonality in my trading?

Use EXPE (EXPE) 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 Stocks Seasonality Analysis

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