MET / NEAR ratio and spread
1 MET = 0.0854821 NEAR. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is 0.273 and the correlation between the legs is 0.43.
If you hold MET · If you hold NEAR
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Key numbers
over 329 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 0.43, with a hedge ratio of 0.27. Signals from this pair carry more noise than on a tightly linked one.
The spread is at 1.69 standard deviations from its rolling mean: away from the norm, but not far enough to call it stretched.
Reversion is slow: the spread needs roughly 33 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 — 20% of the way from the low to the high of the last 329 daily candles.
Frequently asked
How many NEAR is 1 MET?
1 MET is worth 0.0854821 NEAR at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the MET/NEAR range?
Over the last 329 daily candles the ratio traded between 0.0450923 (03.06.2026) and 0.245833 (20.02.2026).
Are MET and NEAR correlated?
The correlation of daily log returns between MET and NEAR is 0.43, 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 MET/NEAR spread z-score now?
The z-score is 1.69 — 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 MET/NEAR suitable for a pair trade?
The mechanics hold up: correlation is 0.43 and the spread historically covers half the way back to its mean in about 33 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.