SUI / NMR ratio and spread
1 SUI = 0.0815094 NMR. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is 0.009 and the correlation between the legs is 0.45.
If you hold SUI · If you hold NMR
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Key numbers
over 1246 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 0.45, with a hedge ratio of 0.01. Signals from this pair carry more noise than on a tightly linked one.
The spread currently sits at 2.05 standard deviations above its rolling mean — SUI is expensive relative to NMR by the standards of this window.
Reversion is slow: the spread needs roughly 230 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 13% of the way from the low to the high of the last 1246 daily candles.
Frequently asked
How many NMR is 1 SUI?
1 SUI is worth 0.0815094 NMR at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the SUI/NMR range?
Over the last 1246 daily candles the ratio traded between 0.0199564 (02.09.2023) and 0.499162 (15.07.2025).
Are SUI and NMR correlated?
The correlation of daily log returns between SUI and NMR is 0.45, 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 SUI/NMR spread z-score now?
The z-score is 2.05 — 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/NMR suitable for a pair trade?
The mechanics hold up: correlation is 0.45 and the spread historically covers half the way back to its mean in about 230 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.