PENGU / LINK ratio and spread
1 PENGU = 0.0006741 LINK. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is 1.395 and the correlation between the legs is 0.82.
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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 0.82. The fitted hedge ratio is 1.39, meaning roughly 1.39 units of LINK exposure balance one unit of PENGU.
The spread is at -1.51 standard deviations from its rolling mean: away from the norm, but not far enough to call it stretched.
Reversion is slow: the spread needs roughly 32 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 7% of the way from the low to the high of the last 359 daily candles.
Frequently asked
How many LINK is 1 PENGU?
1 PENGU is worth 0.000674114 LINK at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the PENGU/LINK range?
Over the last 359 daily candles the ratio traded between 0.000610081 (19.08.2026) and 0.00148387 (05.10.2025).
Are PENGU and LINK correlated?
The correlation of daily log returns between PENGU and LINK is 0.82, 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/LINK spread z-score now?
The z-score is -1.51 — 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 PENGU/LINK suitable for a pair trade?
The mechanics hold up: correlation is 0.82 and the spread historically covers half the way back to its mean in about 32 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.