Dynatrace (DT) Seasonality
Recurring seasonal patterns for DT — the calendar windows where Dynatrace 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.
DT's strongest seasonal patterns
| Seasonal window | Direction | Avg return | Win rate | Hold |
|---|---|---|---|---|
| Feb 10 – Mar 12 | Bearish | -16.20% | 100% | 30d |
| May 11 – Jun 10 | Bullish | +15.17% | 100% | 30d |
| Feb 9 – Mar 11 | Bearish | -15.08% | 100% | 30d |
| Feb 11 – Mar 13 | Bearish | -15.07% | 100% | 30d |
| Feb 12 – Mar 14 | Bearish | -14.79% | 100% | 30d |
| Feb 7 – Mar 9 | Bearish | -13.85% | 100% | 30d |
| Feb 8 – Mar 10 | Bearish | -13.72% | 100% | 30d |
| Feb 6 – Mar 8 | Bearish | -13.41% | 100% | 30d |
| Feb 19 – Mar 12 | Bearish | -13.14% | 100% | 21d |
| May 7 – Jun 6 | Bullish | +12.96% | 100% | 30d |
| May 8 – Jun 7 | Bullish | +12.93% | 100% | 30d |
| May 12 – Jun 11 | Bullish | +12.91% | 100% | 30d |
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 DT seasonality in full
See the seasonal curve chart, filter by win rate and return, and track upcoming windows — free during beta.
What is DT stock seasonality?
Stock seasonality is the tendency of a stock to perform in a similar way during the same period each year. By analysing Dynatrace's price history across many years, SeasonalityX identifies recurring calendar windows — exact start and end dates — where DT 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.