IBM (IBM)
Seasonality Analysis
IBM Annual Seasonality Statistics
IBM Monthly Seasonality Performance
| Month | Avg Return | Win Rate | Strength |
|---|---|---|---|
| January BEST | 2.80% | Moderate | |
| February WORST | -2.58% | Very Weak | |
| March | 1.84% | Strong | |
| April | -0.17% | Weak | |
| May | -0.52% | Weak | |
| June | -0.53% | Weak | |
| July | 1.88% | Strong | |
| August | -0.32% | Very Weak | |
| September | 0.15% | Moderate | |
| October | -0.55% | Weak | |
| November | 1.94% | Strong | |
| December | 0.15% | Moderate |
IBM 2026 vs Historical Pattern
IBM Interactive Seasonality Chart
IBM Pattern Scanner
IBM Seasonal Historical Performance
About IBM (IBM) Seasonality
IBM (IBM) has been analyzed using 27 years of historical data to identify seasonal patterns. Classified under Stocks, IBM shows distinct seasonal tendencies based on historical data.
The strongest month for IBM is historically January, with an average return of 2.80% and a win rate of 56%. Conversely, February tends to be the weakest month, averaging -2.58% return.
Looking at the full calendar year, IBM has an average annual return of 4.09% with an overall monthly win rate of 51.9%. Out of 12 months, 6 typically show positive average returns.
The seasonal pattern for IBM has a consistency score of 35.3 (Poor), based on 27 years of data. Higher consistency means the seasonal pattern has been more reliable across different market conditions.
IBM Seasonality FAQ
What is the best month to buy IBM (IBM)?
Historically, January has been the best month for IBM, with an average return of 2.80% and a win rate of 56%. However, past performance does not guarantee future results.
What is the worst month for IBM (IBM)?
Based on historical data, February has been the weakest month for IBM, with an average return of -2.58%. This is a historical observation and does not guarantee future results.
How reliable is IBM seasonality data?
The seasonality analysis for IBM 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 IBM seasonality in my trading?
Use IBM (IBM) 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.