AppSwarm, Inc. (SWRM)
Seasonality Analysis
AppSwarm, Inc. Annual Seasonality Statistics
AppSwarm, Inc. Monthly Seasonality Performance
| Month | Avg Return | Win Rate | Strength |
|---|---|---|---|
| January | 20.30% | Moderate | |
| February BEST | 23.35% | Weak | |
| March | 2.92% | Weak | |
| April | 7.21% | Weak | |
| May | 0.71% | Weak | |
| June | 16.40% | Weak | |
| July WORST | -5.13% | Very Weak | |
| August | 2.12% | Weak | |
| September | 4.06% | Weak | |
| October | -2.46% | Very Weak | |
| November | 13.83% | Weak | |
| December | -3.93% | Very Weak |
AppSwarm, Inc. 2026 vs Historical Pattern
AppSwarm, Inc. Interactive Seasonality Chart
AppSwarm, Inc. Pattern Scanner
AppSwarm, Inc. Seasonal Historical Performance
About AppSwarm, Inc. (SWRM) Seasonality
AppSwarm, Inc. (SWRM) has been analyzed using 27 years of historical data to identify seasonal patterns. Classified under Stocks, AppSwarm, Inc. shows distinct seasonal tendencies based on historical data.
The strongest month for AppSwarm, Inc. is historically February, with an average return of 23.35% and a win rate of 33%. Conversely, July tends to be the weakest month, averaging -5.13% return.
Looking at the full calendar year, AppSwarm, Inc. has an average annual return of 79.39% with an overall monthly win rate of 33.4%. Out of 12 months, 9 typically show positive average returns.
The seasonal pattern for AppSwarm, Inc. has a consistency score of 44.4 (Poor), based on 27 years of data. Higher consistency means the seasonal pattern has been more reliable across different market conditions.
AppSwarm, Inc. Seasonality FAQ
What is the best month to buy AppSwarm, Inc. (SWRM)?
Historically, February has been the best month for AppSwarm, Inc., with an average return of 23.35% and a win rate of 33%. However, past performance does not guarantee future results.
What is the worst month for AppSwarm, Inc. (SWRM)?
Based on historical data, July has been the weakest month for AppSwarm, Inc., with an average return of -5.13%. This is a historical observation and does not guarantee future results.
How reliable is SWRM seasonality data?
The seasonality analysis for AppSwarm, Inc. 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 AppSwarm, Inc. seasonality in my trading?
Use AppSwarm, Inc. (SWRM) 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.