PENGU / PEPE ratio and spread
1 PENGU = 1733.01 PEPE. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is 1.191 and the correlation between the legs is 0.83.
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Key numbers
over 359 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 closely together — correlation of daily log returns is 0.83. The fitted hedge ratio is 1.19, meaning roughly 1.19 units of PEPE exposure balance one unit of PENGU.
The spread currently sits at -3.27 standard deviations from its rolling mean — PENGU is cheap relative to PEPE by the standards of this window.
Historically the spread covers half the way back to its mean in about 27 days, so a divergence here tends to resolve within weeks rather than months.
The current ratio sits near the bottom of its range — only 9% of the way from the low to the high of the last 359 daily candles.
Frequently asked
How many PEPE is 1 PENGU?
1 PENGU is worth 1733.01 PEPE at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the PENGU/PEPE range?
Over the last 359 daily candles the ratio traded between 1566.01 (15.02.2026) and 3447.61 (12.10.2025).
Are PENGU and PEPE correlated?
The correlation of daily log returns between PENGU and PEPE is 0.83, which counts as a strong 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 PENGU/PEPE spread z-score now?
The z-score is -3.27 — the spread is stretched beyond two standard deviations. It measures how far the regression residual log(A) − β·log(B) sits from its rolling mean, in standard deviations.
Is PENGU/PEPE suitable for a pair trade?
The mechanics hold up: correlation is 0.83 and the spread historically covers half the way back to its mean in about 27 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.