If you are into Election Cycle tendencies, you might possibly find this study of interest. I have S&P data back to its origin in 1957 and S&P proxy data, via Dow analog, back to 1930. Dating back to 1930, I took the time to calculate my personal performance rating for each of the 48 months of the Four-Year Election Cycle, which is based on an average with outliers underweighted. The rating measure ranges from -100 to +100 in -3 to +3 standard deviation fashion.
Pre-election Januarys lead, midterm election Junes lag, with 2026 resilience challenging weak June seasonals. Reasonable chance of posting a win this year?
The left side of the table above contains the top 24 rated months through April of 2026 of the Four-Year Election Cycle in the sample set, while the right side contains the bottom 24 months. The 3% column is the performance in those months which had a 3% move in either direction. Likewise for the 5% column.
Four of the top ten months in this study occur in Pre-Election years, with Januarys (20-4) at the top. While four of the bottom ten occur in Midterm Election years. Owing largely to the seven Junes of those 24 in the test set which incurred 5% losses, June of Midterm Election years brings up the rear.
The S&P has exhibited a resilience to many a headwind in 2026 which, in my humble opinion, merits respect, and the weak June midterm election seasonals should be weighed against many a traditional momentum-based seasonal study that gives June a reasonable chance of posting a win this year. Tis your call.
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