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0.0451941 ZRO
PYTH = 0.09432 USDT
ZRO = 2.087 USDT

PYTH / ZRO ratio and spread

1 PYTH = 0.0451941 ZRO. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is 0.565 and the correlation between the legs is 0.49.

Set an alert on this pair The spread z-score is 1.72 right now. Get a message when it reaches your level — instead of watching the chart.
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If you hold PYTH · If you hold ZRO

Hedge ratio β 0.565
Spread z-score 1.72
Percentile, 1.0 y 54
Correlation 0.49
Half-life 44.6 1d
The spread is within ±2σ — the pair is near its own norm.

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Key numbers

Current ratio0.0451941
Change 1d16.52%
Change 7d35.28%
Change 30d-20.25%
Period high0.0715119
Period low0.0174903
Hedge ratio β0.565
Spread z-score1.72
Correlation0.49
Half-life45 d

over 382 daily candles

What the numbers say

The legs move together only moderately — correlation of daily log returns is 0.49, with a hedge ratio of 0.56. Signals from this pair carry more noise than on a tightly linked one.

The spread is at 1.72 standard deviations from its rolling mean: away from the norm, but not far enough to call it stretched.

Reversion is slow: the spread needs roughly 45 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 mid-range — 51% of the way from the low to the high of the last 382 daily candles.

Frequently asked

How many ZRO is 1 PYTH?

1 PYTH is worth 0.0451941 ZRO at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.

What is the PYTH/ZRO range?

Over the last 382 daily candles the ratio traded between 0.0174903 (11.02.2026) and 0.0715119 (13.10.2025).

Are PYTH and ZRO correlated?

The correlation of daily log returns between PYTH and ZRO is 0.49, which counts as a moderate 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 PYTH/ZRO spread z-score now?

The z-score is 1.72 — 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 PYTH/ZRO suitable for a pair trade?

The mechanics hold up: correlation is 0.49 and the spread historically covers half the way back to its mean in about 45 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.

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