NOM / VTHO ratio and spread
1 NOM = 4.162 VTHO. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is 1.984 and the correlation between the legs is 0.27.
If you hold NOM · If you hold VTHO
Sign in to keep favourite pairs.
Alerts
Sign in to set your own alerts.
Key numbers
over 366 daily candles
How each of these is computed: regression spread, hedge ratio, spread z-score, half-life, correlation.
What the numbers say
The legs barely move together: correlation of daily log returns is only 0.27. A spread built on such a weak link reverts by coincidence rather than by mechanism.
The spread is at -1.41 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 18 days, so a divergence here tends to resolve within weeks rather than months.
The current ratio sits near the bottom of its range — only 9% of the way from the low to the high of the last 366 daily candles.
Frequently asked
How many VTHO is 1 NOM?
1 NOM is worth 4.1622 VTHO at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the NOM/VTHO range?
Over the last 366 daily candles the ratio traded between 1.41167 (13.09.2026) and 31.3007 (01.10.2025).
Are NOM and VTHO correlated?
The correlation of daily log returns between NOM and VTHO is 0.27, 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 NOM/VTHO spread z-score now?
The z-score is -1.41 — 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 NOM/VTHO suitable for a pair trade?
Weakly. Correlation is only 0.27, so the legs do not reliably move together and the spread carries mostly idiosyncratic noise.
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.