SPDR S&P 400 Mid Cap Value ETF (based on S&P MidCap 400 Value Index--symbol: MGD (MDYV)
Seasonality Analysis
SPDR S&P 400 Mid Cap Value ETF (based on S&P MidCap 400 Value Index--symbol: MGD Annual Seasonality Statistics
SPDR S&P 400 Mid Cap Value ETF (based on S&P MidCap 400 Value Index--symbol: MGD Monthly Seasonality Performance
| Month | Avg Return | Win Rate | Strength |
|---|---|---|---|
| January | 0.73% | Moderate | |
| February | 0.02% | Moderate | |
| March | 0.14% | Moderate | |
| April | 2.24% | Strong | |
| May | 0.25% | Moderate | |
| June | -0.69% | Very Weak | |
| July | 1.44% | Moderate | |
| August | 0.25% | Moderate | |
| September WORST | -1.05% | Weak | |
| October | 0.76% | Moderate | |
| November BEST | 2.62% | Strong | |
| December | 0.51% | Moderate |
SPDR S&P 400 Mid Cap Value ETF (based on S&P MidCap 400 Value Index--symbol: MGD 2026 vs Historical Pattern
SPDR S&P 400 Mid Cap Value ETF (based on S&P MidCap 400 Value Index--symbol: MGD Interactive Seasonality Chart
SPDR S&P 400 Mid Cap Value ETF (based on S&P MidCap 400 Value Index--symbol: MGD Pattern Scanner
SPDR S&P 400 Mid Cap Value ETF (based on S&P MidCap 400 Value Index--symbol: MGD Seasonal Historical Performance
About SPDR S&P 400 Mid Cap Value ETF (based on S&P MidCap 400 Value Index--symbol: MGD (MDYV) Seasonality
SPDR S&P 400 Mid Cap Value ETF (based on S&P MidCap 400 Value Index--symbol: MGD (MDYV) has been analyzed using 21 years of historical data to identify seasonal patterns. Classified under ETFs, SPDR S&P 400 Mid Cap Value ETF (based on S&P MidCap 400 Value Index--symbol: MGD shows distinct seasonal tendencies based on historical data.
The strongest month for SPDR S&P 400 Mid Cap Value ETF (based on S&P MidCap 400 Value Index--symbol: MGD is historically November, with an average return of 2.62% and a win rate of 81%. Conversely, September tends to be the weakest month, averaging -1.05% return.
Looking at the full calendar year, SPDR S&P 400 Mid Cap Value ETF (based on S&P MidCap 400 Value Index--symbol: MGD has an average annual return of 7.23% with an overall monthly win rate of 59.6%. Out of 12 months, 10 typically show positive average returns.
The seasonal pattern for SPDR S&P 400 Mid Cap Value ETF (based on S&P MidCap 400 Value Index--symbol: MGD has a consistency score of 41 (Poor), based on 22 years of data. Higher consistency means the seasonal pattern has been more reliable across different market conditions.
SPDR S&P 400 Mid Cap Value ETF (based on S&P MidCap 400 Value Index--symbol: MGD Seasonality FAQ
What is the best month to buy SPDR S&P 400 Mid Cap Value ETF (based on S&P MidCap 400 Value Index--symbol: MGD (MDYV)?
Historically, November has been the best month for SPDR S&P 400 Mid Cap Value ETF (based on S&P MidCap 400 Value Index--symbol: MGD, with an average return of 2.62% and a win rate of 81%. However, past performance does not guarantee future results.
What is the worst month for SPDR S&P 400 Mid Cap Value ETF (based on S&P MidCap 400 Value Index--symbol: MGD (MDYV)?
Based on historical data, September has been the weakest month for SPDR S&P 400 Mid Cap Value ETF (based on S&P MidCap 400 Value Index--symbol: MGD, with an average return of -1.05%. This is a historical observation and does not guarantee future results.
How reliable is MDYV seasonality data?
The seasonality analysis for SPDR S&P 400 Mid Cap Value ETF (based on S&P MidCap 400 Value Index--symbol: MGD is based on 21 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 SPDR S&P 400 Mid Cap Value ETF (based on S&P MidCap 400 Value Index--symbol: MGD seasonality in my trading?
Use SPDR S&P 400 Mid Cap Value ETF (based on S&P MidCap 400 Value Index--symbol: MGD (MDYV) 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.