Invesco Exchange-Traded Self-Indexed Fund Trust Invesco Russell 1000 Dynamic Multifactor ETF (OMFL)
Seasonality Analysis
Invesco Exchange-Traded Self-Indexed Fund Trust Invesco Russell 1000 Dynamic Multifactor ETF Annual Seasonality Statistics
Invesco Exchange-Traded Self-Indexed Fund Trust Invesco Russell 1000 Dynamic Multifactor ETF Monthly Seasonality Performance
| Month | Avg Return | Win Rate | Strength |
|---|---|---|---|
| January | 2.03% | Strong | |
| February | -1.18% | Weak | |
| March | -1.29% | Weak | |
| April | 2.60% | Strong | |
| May | 1.90% | Strong | |
| June | -0.49% | Weak | |
| July | 1.86% | Strong | |
| August | 1.68% | Strong | |
| September WORST | -1.54% | Weak | |
| October | 0.87% | Moderate | |
| November BEST | 4.34% | Very Strong | |
| December | 0.53% | Moderate |
Invesco Exchange-Traded Self-Indexed Fund Trust Invesco Russell 1000 Dynamic Multifactor ETF 2026 vs Historical Pattern
Invesco Exchange-Traded Self-Indexed Fund Trust Invesco Russell 1000 Dynamic Multifactor ETF Interactive Seasonality Chart
Invesco Exchange-Traded Self-Indexed Fund Trust Invesco Russell 1000 Dynamic Multifactor ETF Pattern Scanner
Invesco Exchange-Traded Self-Indexed Fund Trust Invesco Russell 1000 Dynamic Multifactor ETF Seasonal Historical Performance
About Invesco Exchange-Traded Self-Indexed Fund Trust Invesco Russell 1000 Dynamic Multifactor ETF (OMFL) Seasonality
Invesco Exchange-Traded Self-Indexed Fund Trust Invesco Russell 1000 Dynamic Multifactor ETF (OMFL) has been analyzed using 9 years of historical data to identify seasonal patterns. Classified under ETFs, Invesco Exchange-Traded Self-Indexed Fund Trust Invesco Russell 1000 Dynamic Multifactor ETF shows distinct seasonal tendencies based on historical data.
The strongest month for Invesco Exchange-Traded Self-Indexed Fund Trust Invesco Russell 1000 Dynamic Multifactor ETF is historically November, with an average return of 4.34% and a win rate of 89%. Conversely, September tends to be the weakest month, averaging -1.54% return.
Looking at the full calendar year, Invesco Exchange-Traded Self-Indexed Fund Trust Invesco Russell 1000 Dynamic Multifactor ETF has an average annual return of 11.31% with an overall monthly win rate of 64.6%. Out of 12 months, 8 typically show positive average returns.
The seasonal pattern for Invesco Exchange-Traded Self-Indexed Fund Trust Invesco Russell 1000 Dynamic Multifactor ETF has a consistency score of 63.5 (Good), based on 10 years of data. Higher consistency means the seasonal pattern has been more reliable across different market conditions.
Invesco Exchange-Traded Self-Indexed Fund Trust Invesco Russell 1000 Dynamic Multifactor ETF Seasonality FAQ
What is the best month to buy Invesco Exchange-Traded Self-Indexed Fund Trust Invesco Russell 1000 Dynamic Multifactor ETF (OMFL)?
Historically, November has been the best month for Invesco Exchange-Traded Self-Indexed Fund Trust Invesco Russell 1000 Dynamic Multifactor ETF, with an average return of 4.34% and a win rate of 89%. However, past performance does not guarantee future results.
What is the worst month for Invesco Exchange-Traded Self-Indexed Fund Trust Invesco Russell 1000 Dynamic Multifactor ETF (OMFL)?
Based on historical data, September has been the weakest month for Invesco Exchange-Traded Self-Indexed Fund Trust Invesco Russell 1000 Dynamic Multifactor ETF, with an average return of -1.54%. This is a historical observation and does not guarantee future results.
How reliable is OMFL seasonality data?
The seasonality analysis for Invesco Exchange-Traded Self-Indexed Fund Trust Invesco Russell 1000 Dynamic Multifactor ETF is based on 9 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 Invesco Exchange-Traded Self-Indexed Fund Trust Invesco Russell 1000 Dynamic Multifactor ETF seasonality in my trading?
Use Invesco Exchange-Traded Self-Indexed Fund Trust Invesco Russell 1000 Dynamic Multifactor ETF (OMFL) 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.