VTHO / QNT ratio and spread
1 VTHO = 5.5E-6 QNT. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is 2.648 and the correlation between the legs is 0.39.
If you hold VTHO · If you hold QNT
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Key numbers
over 363 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 0.39. A spread built on such a weak link reverts by coincidence rather than by mechanism.
The spread currently sits at -2.06 standard deviations from its rolling mean — VTHO is cheap relative to QNT by the standards of this window.
Historically the spread covers half the way back to its mean in about 10 days, so a divergence here tends to resolve within weeks rather than months.
The current ratio sits near the bottom of its range — only 2% of the way from the low to the high of the last 363 daily candles.
Frequently asked
How many QNT is 1 VTHO?
1 VTHO is worth 0.000005513663092356 QNT at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the VTHO/QNT range?
Over the last 363 daily candles the ratio traded between 0.0000052849002849 (10.07.2026) and 0.000018338242133003 (13.09.2026).
Are VTHO and QNT correlated?
The correlation of daily log returns between VTHO and QNT is 0.39, 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 VTHO/QNT spread z-score now?
The z-score is -2.06 — 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 VTHO/QNT suitable for a pair trade?
Weakly. Correlation is only 0.39, 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.