NEAR / S ratio and spread
1 NEAR = 86.8 S. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is 0.086 and the correlation between the legs is 0.69.
If you hold NEAR · If you hold S
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Key numbers
over 378 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 0.69, with a hedge ratio of 0.09. Signals from this pair carry more noise than on a tightly linked one.
The spread currently sits at 2.49 standard deviations above its rolling mean — NEAR is expensive relative to S by the standards of this window.
The spread has not shown mean reversion over the sample: estimates longer than the available history are discarded rather than reported. Trading this pair on reversion has no statistical footing here.
The current ratio sits mid-range — 62% of the way from the low to the high of the last 378 daily candles.
Frequently asked
How many S is 1 NEAR?
1 NEAR is worth 86.7994 S at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the NEAR/S range?
Over the last 378 daily candles the ratio traded between 9.83089 (08.10.2025) and 133.137 (28.09.2026).
Are NEAR and S correlated?
The correlation of daily log returns between NEAR and S is 0.69, 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 NEAR/S spread z-score now?
The z-score is 2.49 — 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 NEAR/S suitable for a pair trade?
Not on a reversion thesis. The spread has not returned to its mean within the available history, so there is nothing to trade back to.
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.