AVAX / W ratio and spread
1 AVAX = 703.85 W. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is 0.493 and the correlation between the legs is 0.75.
If you hold AVAX · If you hold W
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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 closely together — correlation of daily log returns is 0.75. The fitted hedge ratio is 0.49, meaning roughly 0.49 units of W exposure balance one unit of AVAX.
The spread currently sits at 2.17 standard deviations above its rolling mean — AVAX is expensive relative to W by the standards of this window.
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 — 65% of the way from the low to the high of the last 364 daily candles.
Frequently asked
How many W is 1 AVAX?
1 AVAX is worth 703.851 W at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the AVAX/W range?
Over the last 364 daily candles the ratio traded between 209.048 (07.10.2025) and 975.853 (21.09.2026).
Are AVAX and W correlated?
The correlation of daily log returns between AVAX and W is 0.75, which counts as a strong 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 AVAX/W spread z-score now?
The z-score is 2.17 — 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 AVAX/W suitable for a pair trade?
The mechanics hold up: correlation is 0.75 and the spread historically covers half the way back to its mean in about 17 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.