ZAMA / SEI ratio and spread
1 ZAMA = 1.732 SEI. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is -1.269 and the correlation between the legs is 0.30.
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Key numbers
over 232 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 SEI 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 4.04 standard deviations above its rolling mean — ZAMA is expensive relative to SEI by the standards of this window.
Historically the spread covers half the way back to its mean in about 11 days, so a divergence here tends to resolve within weeks rather than months.
The current ratio sits in the upper part of its range — 100% of the way from the low to the high of the last 232 daily candles.
Frequently asked
How many SEI is 1 ZAMA?
1 ZAMA is worth 1.73168 SEI at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the ZAMA/SEI range?
Over the last 232 daily candles the ratio traded between 0.263782 (12.02.2026) and 1.73168 (21.09.2026).
Are ZAMA and SEI correlated?
The correlation of daily log returns between ZAMA and SEI is 0.30, 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/SEI spread z-score now?
The z-score is 4.04 — 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/SEI 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.