GLMR / ONE ratio and spread
1 GLMR = 5.078 ONE. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is 0.852 and the correlation between the legs is 0.35.
If you hold GLMR · If you hold ONE
GLMR is cheaper against ONE than in 4 % of the time over 1.0 years. If you hold ONE, this is worth a look at rotating into GLMR.
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Key numbers
over 370 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 0.35. A spread built on such a weak link reverts by coincidence rather than by mechanism.
The spread is at -1.50 standard deviations from its rolling mean: away from the norm, but not far enough to call it stretched.
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 — 35% of the way from the low to the high of the last 370 daily candles.
Frequently asked
How many ONE is 1 GLMR?
1 GLMR is worth 5.07777 ONE at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the GLMR/ONE range?
Over the last 370 daily candles the ratio traded between 1.50419 (21.09.2026) and 11.6321 (25.08.2026).
Are GLMR and ONE correlated?
The correlation of daily log returns between GLMR and ONE is 0.35, 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 GLMR/ONE spread z-score now?
The z-score is -1.50 — the spread is within its usual range. It measures how far the regression residual log(A) − β·log(B) sits from its rolling mean, in standard deviations.
Is GLMR/ONE suitable for a pair trade?
Weakly. Correlation is only 0.35, 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.