NOM / LSK ratio and spread
1 NOM = 0.0059471 LSK. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is 1.434 and the correlation between the legs is 0.13.
If you hold NOM · If you hold LSK
Sign in to keep favourite pairs.
Alerts
Sign in to set your own alerts.
Key numbers
over 359 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 0.13. A spread built on such a weak link reverts by coincidence rather than by mechanism.
The spread currently sits at -2.43 standard deviations from its rolling mean — NOM is cheap relative to LSK by the standards of this window.
Reversion is slow: the spread needs roughly 31 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 3% of the way from the low to the high of the last 359 daily candles.
Frequently asked
How many LSK is 1 NOM?
1 NOM is worth 0.00594715 LSK at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the NOM/LSK range?
Over the last 359 daily candles the ratio traded between 0.000835 (13.09.2026) and 0.169085 (01.10.2025).
Are NOM and LSK correlated?
The correlation of daily log returns between NOM and LSK is 0.13, 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 NOM/LSK spread z-score now?
The z-score is -2.43 — 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 NOM/LSK suitable for a pair trade?
Weakly. Correlation is only 0.13, 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.