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Seasonal windows that 'almost always rise' did not keep rising more than any other
We selected the calendar windows that had closed higher in the great majority of years and looked at the following years. Their hit rate fell until it was almost the same as that of any window of the same market and length; without counting overlapping windows, the difference disappears.
That is why the seasonality screen compares each pattern with every window of the same length and does not present its past rate as a future probability.
Seasonal windows 'positive in 70% of years or more': what happened in the following years
27 markets
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| Measurement | Selected windows | Any window of the same market and length | Cases |
|---|---|---|---|
| Positive years up to 2021 (what the screen showed) | 76.2% | 58.5% | 14,654 |
| Positive in 2022-2026, all selected windows | 54.0% | 52.1% | 68,918 |
| Positive in 2022-2026, non-overlapping windows only | 49.9% | 49.7% | 1,489 |
n = 68,918 · 2010-06-07 to 2026-10-09 · exchange data
27 markets with at least 9 complete years of history up to 2021, prices adjusted at contract rolls. Selected window = a stretch of calendar dates that closed higher in 70% or more of the last 10 complete years up to 31-Dec-2021. Each window is then looked at in every year from 2022 to 2026 (2026 through 9 October): 'positive' = it closed higher again. The comparison column is the same count for every window of the same market and the same length, without selecting. The first row counts windows; the other two count window-year combinations. Selected windows overlap heavily (a window and the one starting a day later are almost the same), so the last row keeps only those that do not overlap: its 95% confidence interval is 47.4-52.4%. Raising the threshold to 80% or 90% of years does not change the conclusion. This is what happened, not a signal.