W / NEAR ratio and spread
1 W = 0.002865 NEAR. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is 0.422 and the correlation between the legs is 0.65.
If you hold W · If you hold NEAR
Sign in to keep favourite pairs.
Alerts
Sign in to set your own alerts.
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 move together only moderately — correlation of daily log returns is 0.65, with a hedge ratio of 0.42. Signals from this pair carry more noise than on a tightly linked one.
The spread is at -0.91 standard deviations from its rolling mean, which is effectively at its own norm.
Reversion is slow: the spread needs roughly 134 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 1% of the way from the low to the high of the last 364 daily candles.
Frequently asked
How many NEAR is 1 W?
1 W is worth 0.00286499 NEAR at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the W/NEAR range?
Over the last 364 daily candles the ratio traded between 0.00252566 (26.09.2026) and 0.0478516 (07.10.2025).
Are W and NEAR correlated?
The correlation of daily log returns between W and NEAR is 0.65, which counts as a moderate 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 W/NEAR spread z-score now?
The z-score is -0.91 — 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 W/NEAR suitable for a pair trade?
The mechanics hold up: correlation is 0.65 and the spread historically covers half the way back to its mean in about 134 days. That is a description of past behaviour, not a forecast or a recommendation.
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.