Professional Seasonal Analysis for Trading

SMI (^SSMI)

Seasonality Analysis

Indices 27 Years Analyzed

Swiss Market Index

SMI Annual Seasonality Statistics

0.64%
Avg Annual Return
54.1%
Avg Monthly Win Rate
8/12
Positive Months
27
Years Analyzed

SMI Monthly Seasonality Performance

Month Avg Return Win Rate Strength
January -1.00%
33%
Very Weak
February -0.46%
56%
Weak
March 0.14%
59%
Moderate
April 0.98%
59%
Moderate
May 0.13%
62%
Moderate
June WORST -1.43%
31%
Very Weak
July 1.05%
65%
Moderate
August 0.17%
50%
Weak
September -1.00%
42%
Weak
October 0.43%
62%
Moderate
November BEST 1.12%
65%
Moderate
December 0.51%
65%
Moderate

SMI 2026 vs Historical Pattern

Current Position
53.07
Historical Avg Position
42.69
Deviation
+10.38
Performance
Significantly Above Average

SMI Interactive Seasonality Chart

Interactive Seasonality Chart

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SMI Pattern Scanner

Pattern Scanner

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SMI Seasonal Historical Performance

Historical Performance

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About SMI (^SSMI) Seasonality

SMI (^SSMI) has been analyzed using 27 years of historical data to identify seasonal patterns. Classified under Indices, SMI shows distinct seasonal tendencies based on historical data.

The strongest month for SMI is historically November, with an average return of 1.12% and a win rate of 65%. Conversely, June tends to be the weakest month, averaging -1.43% return.

Looking at the full calendar year, SMI has an average annual return of 0.64% with an overall monthly win rate of 54.1%. Out of 12 months, 8 typically show positive average returns.

The seasonal pattern for SMI has a consistency score of 44 (Poor), based on 27 years of data. Higher consistency means the seasonal pattern has been more reliable across different market conditions.

SMI Seasonality FAQ

What is the best month to buy SMI (^SSMI)?

Historically, November has been the best month for SMI, with an average return of 1.12% and a win rate of 65%. However, past performance does not guarantee future results.

What is the worst month for SMI (^SSMI)?

Based on historical data, June has been the weakest month for SMI, with an average return of -1.43%. This is a historical observation and does not guarantee future results.

How reliable is ^SSMI seasonality data?

The seasonality analysis for SMI is based on 27 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 SMI seasonality in my trading?

Use SMI (^SSMI) 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 Indices Seasonality Analysis

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