ING Group (INGA.AS)
Seasonality Analysis
ING Group Annual Seasonality Statistics
ING Group Monthly Seasonality Performance
| Month | Avg Return | Win Rate | Strength |
|---|---|---|---|
| January | -0.62% | Weak | |
| February WORST | -2.29% | Weak | |
| March | -0.91% | Weak | |
| April | 2.98% | Moderate | |
| May | 1.13% | Moderate | |
| June | -0.37% | Weak | |
| July BEST | 3.00% | Strong | |
| August | 0.63% | Moderate | |
| September | -2.16% | Weak | |
| October | 0.31% | Moderate | |
| November | 1.09% | Weak | |
| December | 1.35% | Moderate |
ING Group 2026 vs Historical Pattern
ING Group Interactive Seasonality Chart
ING Group Pattern Scanner
ING Group Seasonal Historical Performance
About ING Group (INGA.AS) Seasonality
ING Group (INGA.AS) has been analyzed using 27 years of historical data to identify seasonal patterns. Classified under Stocks, ING Group shows distinct seasonal tendencies based on historical data.
The strongest month for ING Group is historically July, with an average return of 3.00% and a win rate of 65%. Conversely, February tends to be the weakest month, averaging -2.29% return.
Looking at the full calendar year, ING Group has an average annual return of 4.13% with an overall monthly win rate of 52.9%. Out of 12 months, 7 typically show positive average returns.
The seasonal pattern for ING Group has a consistency score of 33 (Poor), based on 27 years of data. Higher consistency means the seasonal pattern has been more reliable across different market conditions.
ING Group Seasonality FAQ
What is the best month to buy ING Group (INGA.AS)?
Historically, July has been the best month for ING Group, with an average return of 3.00% and a win rate of 65%. However, past performance does not guarantee future results.
What is the worst month for ING Group (INGA.AS)?
Based on historical data, February has been the weakest month for ING Group, with an average return of -2.29%. This is a historical observation and does not guarantee future results.
How reliable is INGA.AS seasonality data?
The seasonality analysis for ING Group 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 ING Group seasonality in my trading?
Use ING Group (INGA.AS) 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.