PEPE / NEAR ratio and spread
1 PEPE = 1.5E-6 NEAR. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is 0.371 and the correlation between the legs is 0.62.
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Key numbers
over 350 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 0.62, with a hedge ratio of 0.37. Signals from this pair carry more noise than on a tightly linked one.
The spread is at 0.58 standard deviations from its rolling mean, which is effectively at its own norm.
Reversion is slow: the spread needs roughly 44 days to cover half the way back to its mean. A position would have to be held for a long time.
The current ratio sits near the bottom of its range — only 11% of the way from the low to the high of the last 350 daily candles.
Frequently asked
How many NEAR is 1 PEPE?
1 PEPE is worth 0.000001453463663408 NEAR at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the PEPE/NEAR range?
Over the last 350 daily candles the ratio traded between 0.00000105280207321 (03.06.2026) and 0.000004665444546288 (15.02.2026).
Are PEPE and NEAR correlated?
The correlation of daily log returns between PEPE and NEAR is 0.62, 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/NEAR spread z-score now?
The z-score is 0.58 — 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/NEAR suitable for a pair trade?
The mechanics hold up: correlation is 0.62 and the spread historically covers half the way back to its mean in about 44 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.