PYTH / SUI ratio and spread
1 PYTH = 0.0918705 SUI. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is 0.771 and the correlation between the legs is 0.70.
If you hold PYTH · If you hold SUI
PYTH has been more expensive against SUI than now only 0 % of the time over 1.0 years. If you hold PYTH, this is worth a look at rotating into SUI.
Sign in to keep favourite pairs.
Alerts
Sign in to set your own alerts.
Key numbers
over 381 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 0.70. The fitted hedge ratio is 0.77, meaning roughly 0.77 units of SUI exposure balance one unit of PYTH.
The spread currently sits at 2.38 standard deviations above its rolling mean — PYTH is expensive relative to SUI by the standards of this window.
Reversion is slow: the spread needs roughly 46 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 — 100% of the way from the low to the high of the last 381 daily candles.
Frequently asked
How many SUI is 1 PYTH?
1 PYTH is worth 0.0918705 SUI at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the PYTH/SUI range?
Over the last 381 daily candles the ratio traded between 0.0361756 (07.01.2026) and 0.0918705 (15.10.2026).
Are PYTH and SUI correlated?
The correlation of daily log returns between PYTH and SUI is 0.70, 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 PYTH/SUI spread z-score now?
The z-score is 2.38 — 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 PYTH/SUI suitable for a pair trade?
The mechanics hold up: correlation is 0.70 and the spread historically covers half the way back to its mean in about 46 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.