U / VIRTUAL ratio and spread
1 U = 1.185 VIRTUAL. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is -0.002 and the correlation between the legs is -0.08.
If you hold U · If you hold VIRTUAL
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Key numbers
over 265 daily candles
How each of these is computed: regression spread, hedge ratio, spread z-score, half-life, correlation.
What the numbers say
The fitted hedge ratio is negative: over the window U and VIRTUAL moved in opposite directions. A pair trade assumes the legs move together, so this combination does not qualify as one.
The spread is at -1.18 standard deviations from its rolling mean: away from the norm, but not far enough to call it stretched.
Historically the spread covers half the way back to its mean in about 6 days, so a divergence here tends to resolve within weeks rather than months.
The current ratio sits mid-range — 29% of the way from the low to the high of the last 265 daily candles.
Frequently asked
How many VIRTUAL is 1 U?
1 U is worth 1.18527 VIRTUAL at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the U/VIRTUAL range?
Over the last 265 daily candles the ratio traded between 0.901406 (14.01.2026) and 1.86612 (09.07.2026).
Are U and VIRTUAL correlated?
The correlation of daily log returns between U and VIRTUAL is -0.08, which counts as a weak 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 U/VIRTUAL spread z-score now?
The z-score is -1.18 — 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 U/VIRTUAL suitable for a pair trade?
No. The fitted hedge ratio is negative, meaning the legs moved in opposite directions over the window — the market-neutral construction that pair trading relies on does not hold here.
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.