VIRTUAL / SUI ratio and spread
1 VIRTUAL = 0.6944903 SUI. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is 0.460 and the correlation between the legs is 0.73.
If you hold VIRTUAL · If you hold SUI
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Key numbers
over 371 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 0.73. The fitted hedge ratio is 0.46, meaning roughly 0.46 units of SUI exposure balance one unit of VIRTUAL.
The spread is at 0.46 standard deviations from its rolling mean, which is effectively at its own norm.
Historically the spread covers half the way back to its mean in about 11 days, so a divergence here tends to resolve within weeks rather than months.
The current ratio sits mid-range — 57% of the way from the low to the high of the last 371 daily candles.
Frequently asked
How many SUI is 1 VIRTUAL?
1 VIRTUAL is worth 0.69449 SUI at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the VIRTUAL/SUI range?
Over the last 371 daily candles the ratio traded between 0.273805 (11.10.2025) and 1.0078 (26.08.2026).
Are VIRTUAL and SUI correlated?
The correlation of daily log returns between VIRTUAL and SUI is 0.73, 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 VIRTUAL/SUI spread z-score now?
The z-score is 0.46 — 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 VIRTUAL/SUI suitable for a pair trade?
The mechanics hold up: correlation is 0.73 and the spread historically covers half the way back to its mean in about 11 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.