PYTH / SOL ratio and spread
1 PYTH = 0.0008847 SOL. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is 1.105 and the correlation between the legs is 0.70.
If you hold PYTH · If you hold SOL
PYTH has been more expensive against SOL than now only 0 % of the time over 1.0 years. If you hold PYTH, this is worth a look at rotating into SOL.
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Key numbers
over 382 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 1.10, meaning roughly 1.10 units of SOL exposure balance one unit of PYTH.
The spread currently sits at 3.53 standard deviations above its rolling mean — PYTH is expensive relative to SOL by the standards of this window.
Historically the spread covers half the way back to its mean in about 19 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 382 daily candles.
Frequently asked
How many SOL is 1 PYTH?
1 PYTH is worth 0.000884743 SOL at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the PYTH/SOL range?
Over the last 382 daily candles the ratio traded between 0.000439226 (26.03.2026) and 0.000884743 (15.10.2026).
Are PYTH and SOL correlated?
The correlation of daily log returns between PYTH and SOL 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/SOL spread z-score now?
The z-score is 3.53 — 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/SOL 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 19 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.