QNT / TRX ratio and spread
1 QNT = 548.96 TRX. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is -0.249 and the correlation between the legs is 0.32.
If you hold QNT · If you hold TRX
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Key numbers
over 1887 daily candles
How each of these is computed: regression spread, hedge ratio, spread z-score, half-life, correlation.
What the numbers say
The fitted hedge ratio is negative: over the window QNT and TRX moved in opposite directions. A pair trade assumes the legs move together, so this combination does not qualify as one.
The spread currently sits at 7.30 standard deviations above its rolling mean — QNT is expensive relative to TRX by the standards of this window.
Reversion is slow: the spread needs roughly 66 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 near the bottom of its range — only 9% of the way from the low to the high of the last 1887 daily candles.
Frequently asked
How many TRX is 1 QNT?
1 QNT is worth 548.965 TRX at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the QNT/TRX range?
Over the last 1887 daily candles the ratio traded between 170.048 (18.08.2026) and 4432.99 (11.09.2021).
Are QNT and TRX correlated?
The correlation of daily log returns between QNT and TRX is 0.32, 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/TRX spread z-score now?
The z-score is 7.30 — 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/TRX suitable for a pair trade?
No. The fitted hedge ratio is negative, meaning the legs moved in opposite directions over the window — the market-neutral construction that pair trading relies on does not hold here.
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.