PYTH: Monthly Returns
Pyth Network Monthly Returns was -14.22% in Oct 2026 (latest monthly value).
The PYTH price change in each calendar month, shown as a table of years by months with the average and median for each month.
Why use it. Seasonality is one of the most asked questions about crypto prices: whether some months have tended to be stronger than others, and how this year compares. How to read it. Each cell is one month's change from the last close of the month before to the month's last close; green cells rose and red cells fell. The average and median rows use closed months only, and the year column compounds the year's months. A handful of years per month cannot establish a seasonal pattern: one strong year can dominate an average, so read it with the median. Past months do not predict future ones.
Calculation. 100 × (the month's last daily close ÷ the previous month's last daily close − 1), in UTC calendar months. The first month of the price history, which has no previous month-end close, has no value; the current month uses its latest close so far and is partial. Daily closes are the published PYTH daily price chart (CryptoKeyhole's own index of public exchange markets; a day's close is its last hourly close). Closed days take the finality of the price; the open day is a partial from the latest hourly close, updated every ten minutes.