ZAMA / ZRO ratio and spread
1 ZAMA = 0.0681656 ZRO. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is -0.710 and the correlation between the legs is 0.15.
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Key numbers
over 234 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 ZAMA and ZRO 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 3.41 standard deviations above its rolling mean — ZAMA is expensive relative to ZRO by the standards of this window.
Reversion is slow: the spread needs roughly 208 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 in the upper part of its range — 82% of the way from the low to the high of the last 234 daily candles.
Frequently asked
How many ZRO is 1 ZAMA?
1 ZAMA is worth 0.0681656 ZRO at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the ZAMA/ZRO range?
Over the last 234 daily candles the ratio traded between 0.00845137 (12.02.2026) and 0.081066 (22.09.2026).
Are ZAMA and ZRO correlated?
The correlation of daily log returns between ZAMA and ZRO is 0.15, 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 ZAMA/ZRO spread z-score now?
The z-score is 3.41 — 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 ZAMA/ZRO 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.