The Crypto Basic and CoinTurk News EN both cite analyst Egrag Crypto's XRP October seasonality study, but report the 61.5%, 38.5%, and 85.7% figures as different kinds of measurements.
The Crypto Basic and CoinTurk News EN both cite analyst Egrag Crypto's XRP October seasonality study, but report the 61.5%, 38.5%, and 85.7% figures as different kinds of measurements.
Out of 13 Octobers, XRP recorded declines in eight, with those months posting an average decline of 61.5%. The other five Octobers ended higher, with an average increase of 38.5%.
XRP's rate of positive October closes stands at 38.5%, while negative closes account for 61.5%. The average return for the token during October was calculated at -5.5%, and the median return at -3.2%.
What would settle it: The original dataset or published analysis by Egrag Crypto showing the raw per-year October returns for XRP from 2013 to 2025.
In six of the seven cases when XRP posted a green September, October also ended in the red, with an average loss of 85.7%.
XRP dropped in October in six out of seven years, equating to a 85.7% probability of a decline, while only once did the token record an October gain after a green September, or 14.3%.
What would settle it: The original dataset or published analysis by Egrag Crypto specifying whether 85.7% denotes frequency of decline or average magnitude of loss.
Treat the underlying count (5 up Octobers, 8 down Octobers, 6-of-7 declines after a green September) as established across both reports, but do not cite the 61.5%, 38.5%, or 85.7% figures as average price-return magnitudes until the original Egrag Crypto analysis is checked, since the two outlets describe them as different statistics (frequency versus magnitude).
Treat the underlying count (5 up Octobers, 8 down Octobers, 6-of-7 declines after a green September) as established across both reports, but do not cite the 61.5%, 38.5%, or 85.7% figures as average price-return magnitudes until the original Egrag Crypto analysis is checked, since the two outlets describe them as different statistics (frequency versus magnitude).
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