RUNE / SEI ratio and spread
1 RUNE = 10.11 SEI. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is 0.474 and the correlation between the legs is 0.71.
If you hold RUNE · If you hold SEI
Sign in to keep favourite pairs.
Alerts
Sign in to set your own alerts.
Key numbers
over 363 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 0.71. The fitted hedge ratio is 0.47, meaning roughly 0.47 units of SEI exposure balance one unit of RUNE.
The spread is at 1.60 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 mid-range — 68% of the way from the low to the high of the last 363 daily candles.
Frequently asked
How many SEI is 1 RUNE?
1 RUNE is worth 10.1116 SEI at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the RUNE/SEI range?
Over the last 363 daily candles the ratio traded between 3.9547 (11.10.2025) and 12.9916 (27.08.2026).
Are RUNE and SEI correlated?
The correlation of daily log returns between RUNE and SEI is 0.71, 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 RUNE/SEI spread z-score now?
The z-score is 1.60 — 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 RUNE/SEI suitable for a pair trade?
The mechanics hold up: correlation is 0.71 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.