PEPE / PYTH ratio and spread
1 PEPE = 4.35E-5 PYTH. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is 0.768 and the correlation between the legs is 0.69.
If you hold PEPE · If you hold PYTH
PEPE is cheaper against PYTH than in 0 % of the time over 1.0 years. If you hold PYTH, this is worth a look at rotating into PEPE.
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Key numbers
over 382 daily candles
How each of these is computed: regression spread, hedge ratio, spread z-score, half-life, correlation.
What the numbers say
The legs move together only moderately — correlation of daily log returns is 0.69, with a hedge ratio of 0.77. Signals from this pair carry more noise than on a tightly linked one.
The spread is at -1.91 standard deviations from its rolling mean: away from the norm, but not far enough to call it stretched.
Historically the spread covers half the way back to its mean in about 19 days, so a divergence here tends to resolve within weeks rather than months.
The current ratio sits near the bottom of its range — only 0% of the way from the low to the high of the last 382 daily candles.
Frequently asked
How many PYTH is 1 PEPE?
1 PEPE is worth 0.000043469108514893 PYTH at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the PEPE/PYTH range?
Over the last 382 daily candles the ratio traded between 0.000043469108514893 (15.10.2026) and 0.000104611 (04.01.2026).
Are PEPE and PYTH correlated?
The correlation of daily log returns between PEPE and PYTH is 0.69, which counts as a moderate link. Log returns are used rather than prices: two rising assets correlate almost by default, joint day-to-day movement is what matters.
What is the PEPE/PYTH spread z-score now?
The z-score is -1.91 — the spread is within its usual range. It measures how far the regression residual log(A) − β·log(B) sits from its rolling mean, in standard deviations.
Is PEPE/PYTH suitable for a pair trade?
The mechanics hold up: correlation is 0.69 and the spread historically covers half the way back to its mean in about 19 days. That is a description of past behaviour, not a forecast or a recommendation.
Related pairs
Other pairs sharing a leg with this one.
All figures are computed from exchange data and describe past behaviour. Nothing here is investment advice.