IBM (IBM) Seasonality
Recurring seasonal patterns for IBM — the calendar windows where IBM has historically tended to rise or fall, with the win rate (how often it repeated) and average return for each, based on up to 10 years of price history.
IBM's strongest seasonal patterns
| Seasonal window | Direction | Avg return | Win rate | Hold |
|---|---|---|---|---|
| Oct 30 – Nov 29 | Bullish | +5.90% | 100% | 30d |
| May 13 – Jun 12 | Bullish | +4.37% | 100% | 30d |
| May 14 – Jun 13 | Bullish | +3.88% | 100% | 30d |
| Nov 21 – Dec 12 | Bullish | +3.85% | 100% | 21d |
| Nov 20 – Nov 30 | Bullish | +3.28% | 100% | 10d |
| May 15 – Jun 14 | Bullish | +3.06% | 100% | 30d |
| May 18 – Jun 17 | Bullish | +2.78% | 100% | 30d |
| Oct 31 – Nov 30 | Bullish | +6.13% | 90% | 30d |
| Oct 29 – Nov 28 | Bullish | +5.48% | 90% | 30d |
| Nov 3 – Nov 24 | Bullish | +4.55% | 90% | 21d |
| May 11 – Jun 10 | Bullish | +4.47% | 90% | 30d |
| Nov 20 – Dec 11 | Bullish | +4.36% | 90% | 21d |
Win rate = how often the pattern repeated in the same direction. Average return = the mean move across all analysed years. Past performance does not guarantee future results.
Explore IBM seasonality in full
See the seasonal curve chart, filter by win rate and return, and track upcoming windows — free during beta.
What is IBM stock seasonality?
Stock seasonality is the tendency of a stock to perform in a similar way during the same period each year. By analysing IBM's price history across many years, SeasonalityX identifies recurring calendar windows — exact start and end dates — where IBM has repeatedly risen (bullish) or fallen (bearish). Each pattern is scored by its win rate and average return so you can judge how reliable and how strong it has been.
Seasonality is one input among many — it works best alongside your own research and risk management. Learn more in our guide to seasonal analysis and the tutorials.