SUI / XTZ ratio and spread
1 SUI = 2.382 XTZ. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is 1.067 and the correlation between the legs is 0.70.
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Key numbers
over 357 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 0.70. The fitted hedge ratio is 1.07, meaning roughly 1.07 units of XTZ exposure balance one unit of SUI.
The spread currently sits at -4.04 standard deviations from its rolling mean — SUI is cheap relative to XTZ by the standards of this window.
Historically the spread covers half the way back to its mean in about 30 days, so a divergence here tends to resolve within weeks rather than months.
The current ratio sits near the bottom of its range — only 10% of the way from the low to the high of the last 357 daily candles.
Frequently asked
How many XTZ is 1 SUI?
1 SUI is worth 2.38157 XTZ at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the SUI/XTZ range?
Over the last 357 daily candles the ratio traded between 2.09027 (01.03.2026) and 5.15507 (09.10.2025).
Are SUI and XTZ correlated?
The correlation of daily log returns between SUI and XTZ is 0.70, 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/XTZ spread z-score now?
The z-score is -4.04 — 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/XTZ suitable for a pair trade?
The mechanics hold up: correlation is 0.70 and the spread historically covers half the way back to its mean in about 30 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.