W / VTHO ratio and spread
1 W = 20.36 VTHO. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is 1.670 and the correlation between the legs is 0.52.
If you hold W · If you hold VTHO
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Key numbers
over 364 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 0.52, with a hedge ratio of 1.67. Signals from this pair carry more noise than on a tightly linked one.
The spread currently sits at -2.37 standard deviations from its rolling mean — W is cheap relative to VTHO by the standards of this window.
Reversion is slow: the spread needs roughly 33 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 15% of the way from the low to the high of the last 364 daily candles.
Frequently asked
How many VTHO is 1 W?
1 W is worth 20.3646 VTHO at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the W/VTHO range?
Over the last 364 daily candles the ratio traded between 8.70668 (13.09.2026) and 86.8794 (07.10.2025).
Are W and VTHO correlated?
The correlation of daily log returns between W and VTHO is 0.52, 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 W/VTHO spread z-score now?
The z-score is -2.37 — 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 W/VTHO suitable for a pair trade?
The mechanics hold up: correlation is 0.52 and the spread historically covers half the way back to its mean in about 33 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.