QNT / INJ ratio and spread
1 QNT = 33.14 INJ. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is 0.044 and the correlation between the legs is 0.43.
If you hold QNT · If you hold INJ
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Key numbers
over 1897 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 0.43, with a hedge ratio of 0.04. Signals from this pair carry more noise than on a tightly linked one.
The spread currently sits at 3.93 standard deviations above its rolling mean — QNT is expensive relative to INJ by the standards of this window.
Reversion is slow: the spread needs roughly 98 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 — 30% of the way from the low to the high of the last 1897 daily candles.
Frequently asked
How many INJ is 1 QNT?
1 QNT is worth 33.1444 INJ at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the QNT/INJ range?
Over the last 1897 daily candles the ratio traded between 2.36881 (13.11.2024) and 104.964 (15.10.2022).
Are QNT and INJ correlated?
The correlation of daily log returns between QNT and INJ is 0.43, 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 QNT/INJ spread z-score now?
The z-score is 3.93 — 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/INJ suitable for a pair trade?
The mechanics hold up: correlation is 0.43 and the spread historically covers half the way back to its mean in about 98 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.