DAX (^GDAXI)
Seasonality Analysis
German stock index
DAX Annual Seasonality Statistics
DAX Monthly Seasonality Performance
| Month | Avg Return | Win Rate | Strength |
|---|---|---|---|
| January | 0.11% | Weak | |
| February | -0.28% | Weak | |
| March | 0.69% | Moderate | |
| April BEST | 2.90% | Moderate | |
| May | 0.32% | Moderate | |
| June | -0.54% | Weak | |
| July | 0.93% | Moderate | |
| August WORST | -1.82% | Weak | |
| September | -1.67% | Weak | |
| October | 2.11% | Moderate | |
| November | 2.55% | Strong | |
| December | 1.65% | Strong |
DAX 2026 vs Historical Pattern
DAX Interactive Seasonality Chart
DAX Pattern Scanner
DAX Seasonal Historical Performance
About DAX (^GDAXI) Seasonality
Germany's DAX shows a spring-and-late-year pattern over 31 years: April (+2.9%) and November (positive 77% of years) lead, while late summer (August -1.82%, September -1.67%) is the soft stretch. Unlike most price indices, the DAX is a performance index that includes reinvested dividends, so its +6.88% annual average already reflects them. Consistency score 39 ("Poor").
DAX Seasonality FAQ
What is the best month to buy DAX (^GDAXI)?
Historically, April has been the best month for DAX, with an average return of 2.90% and a win rate of 60%. However, past performance does not guarantee future results.
What is the worst month for DAX (^GDAXI)?
Based on historical data, August has been the weakest month for DAX, with an average return of -1.82%. This is a historical observation and does not guarantee future results.
How reliable is ^GDAXI seasonality data?
The seasonality analysis for DAX is based on 31 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 DAX seasonality in my trading?
Use DAX (^GDAXI) 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.