SAND / ZAMA ratio and spread
1 SAND = 0.8708001 ZAMA. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is -0.626 and the correlation between the legs is 0.21.
If you hold SAND · If you hold ZAMA
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Key numbers
over 245 daily candles
How each of these is computed: regression spread, hedge ratio, spread z-score, half-life, correlation.
What the numbers say
The fitted hedge ratio is negative: over the window SAND and ZAMA moved in opposite directions. A pair trade assumes the legs move together, so this combination does not qualify as one.
The spread currently sits at 4.18 standard deviations above its rolling mean — SAND is expensive relative to ZAMA by the standards of this window.
Historically the spread covers half the way back to its mean in about 14 days, so a divergence here tends to resolve within weeks rather than months.
The current ratio sits near the bottom of its range — only 11% of the way from the low to the high of the last 245 daily candles.
Frequently asked
How many ZAMA is 1 SAND?
1 SAND is worth 0.8708 ZAMA at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the SAND/ZAMA range?
Over the last 245 daily candles the ratio traded between 0.430584 (24.09.2026) and 4.3996 (18.02.2026).
Are SAND and ZAMA correlated?
The correlation of daily log returns between SAND and ZAMA is 0.21, which counts as a weak 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/ZAMA spread z-score now?
The z-score is 4.18 — 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 SAND/ZAMA suitable for a pair trade?
No. The fitted hedge ratio is negative, meaning the legs moved in opposite directions over the window — the market-neutral construction that pair trading relies on does not hold here.
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.