TRX / QNT ratio and spread
1 TRX = 0.00189 QNT. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is -0.783 and the correlation between the legs is 0.32.
If you hold TRX · If you hold QNT
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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 TRX and QNT 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 6.45 standard deviations above its rolling mean — TRX is expensive relative to QNT by the standards of this window.
Reversion is slow: the spread needs roughly 192 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 — 29% of the way from the low to the high of the last 1887 daily candles.
Frequently asked
How many QNT is 1 TRX?
1 TRX is worth 0.00189002 QNT at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the TRX/QNT range?
Over the last 1887 daily candles the ratio traded between 0.000225581 (11.09.2021) and 0.0058807 (18.08.2026).
Are TRX and QNT correlated?
The correlation of daily log returns between TRX and QNT 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 TRX/QNT spread z-score now?
The z-score is 6.45 — 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 TRX/QNT 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.