QNT / MUBARAK ratio and spread
1 QNT = 2734.14 MUBARAK. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is 0.153 and the correlation between the legs is 0.29.
If you hold QNT · If you hold MUBARAK
Sign in to keep favourite pairs.
Alerts
Sign in to set your own alerts.
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 barely move together: correlation of daily log returns is only 0.29. A spread built on such a weak link reverts by coincidence rather than by mechanism.
The spread currently sits at 4.96 standard deviations above its rolling mean — QNT is expensive relative to MUBARAK by the standards of this window.
Historically the spread covers half the way back to its mean in about 17 days, so a divergence here tends to resolve within weeks rather than months.
The current ratio sits mid-range — 30% of the way from the low to the high of the last 364 daily candles.
Frequently asked
How many MUBARAK is 1 QNT?
1 QNT is worth 2734.14 MUBARAK at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the QNT/MUBARAK range?
Over the last 364 daily candles the ratio traded between 949.007 (23.09.2026) and 6873.82 (19.06.2026).
Are QNT and MUBARAK correlated?
The correlation of daily log returns between QNT and MUBARAK is 0.29, 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/MUBARAK spread z-score now?
The z-score is 4.96 — 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/MUBARAK suitable for a pair trade?
Weakly. Correlation is only 0.29, 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.