BCH / QNT ratio and spread
1 BCH = 2.117 QNT. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is 1.776 and the correlation between the legs is 0.38.
If you hold BCH · If you hold QNT
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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 0.38. A spread built on such a weak link reverts by coincidence rather than by mechanism.
The spread currently sits at -5.01 standard deviations from its rolling mean — BCH is cheap relative to QNT by the standards of this window.
The spread has not shown mean reversion over the sample: estimates longer than the available history are discarded rather than reported. Trading this pair on reversion has no statistical footing here.
The current ratio sits near the bottom of its range — only 0% of the way from the low to the high of the last 364 daily candles.
Frequently asked
How many QNT is 1 BCH?
1 BCH is worth 2.11682 QNT at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the BCH/QNT range?
Over the last 364 daily candles the ratio traded between 2.11682 (27.09.2026) and 8.84697 (22.02.2026).
Are BCH and QNT correlated?
The correlation of daily log returns between BCH and QNT is 0.38, 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 BCH/QNT spread z-score now?
The z-score is -5.01 — 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 BCH/QNT suitable for a pair trade?
Not on a reversion thesis. The spread has not returned to its mean within the available history, so there is nothing to trade back to.
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.