QNT / RAY ratio and spread
1 QNT = 97.98 RAY. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is 0.354 and the correlation between the legs is 0.36.
If you hold QNT · If you hold RAY
QNT has been more expensive against RAY than now only 5 % of the time over 1.0 years. If you hold QNT, this is worth a look at rotating into RAY.
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Key numbers
over 374 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 0.36. A spread built on such a weak link reverts by coincidence rather than by mechanism.
The spread currently sits at 3.58 standard deviations above its rolling mean — QNT is expensive relative to RAY by the standards of this window.
Reversion is slow: the spread needs roughly 85 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 mid-range — 55% of the way from the low to the high of the last 374 daily candles.
Frequently asked
How many RAY is 1 QNT?
1 QNT is worth 97.9825 RAY at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the QNT/RAY range?
Over the last 374 daily candles the ratio traded between 34.7449 (05.10.2025) and 150.714 (01.10.2026).
Are QNT and RAY correlated?
The correlation of daily log returns between QNT and RAY is 0.36, 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 QNT/RAY spread z-score now?
The z-score is 3.58 — 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 QNT/RAY suitable for a pair trade?
Weakly. Correlation is only 0.36, 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.