SAND / AXS ratio and spread
1 SAND = 0.0542109 AXS. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is 1.423 and the correlation between the legs is 0.73.
If you hold SAND · If you hold AXS
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Key numbers
over 371 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 0.73. The fitted hedge ratio is 1.42, meaning roughly 1.42 units of AXS exposure balance one unit of SAND.
The spread is at 0.52 standard deviations from its rolling mean, which is effectively at its own norm.
Reversion is slow: the spread needs roughly 64 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 15% of the way from the low to the high of the last 371 daily candles.
Frequently asked
How many AXS is 1 SAND?
1 SAND is worth 0.0542109 AXS at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the SAND/AXS range?
Over the last 371 daily candles the ratio traded between 0.0369627 (16.09.2026) and 0.149476 (05.11.2025).
Are SAND and AXS correlated?
The correlation of daily log returns between SAND and AXS is 0.73, 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 SAND/AXS spread z-score now?
The z-score is 0.52 — 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 SAND/AXS suitable for a pair trade?
The mechanics hold up: correlation is 0.73 and the spread historically covers half the way back to its mean in about 64 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.