SUI / DOT ratio and spread
1 SUI = 0.9312148 DOT. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is 0.935 and the correlation between the legs is 0.77.
If you hold SUI · If you hold DOT
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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 0.77. The fitted hedge ratio is 0.93, meaning roughly 0.93 units of DOT exposure balance one unit of SUI.
The spread currently sits at 2.50 standard deviations above its rolling mean — SUI is expensive relative to DOT by the standards of this window.
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 in the upper part of its range — 84% of the way from the low to the high of the last 363 daily candles.
Frequently asked
How many DOT is 1 SUI?
1 SUI is worth 0.931215 DOT at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the SUI/DOT range?
Over the last 363 daily candles the ratio traded between 0.548299 (28.02.2026) and 1.00233 (10.05.2026).
Are SUI and DOT correlated?
The correlation of daily log returns between SUI and DOT is 0.77, 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 SUI/DOT spread z-score now?
The z-score is 2.50 — 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 SUI/DOT suitable for a pair trade?
The mechanics hold up: correlation is 0.77 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.