RAY / SNDKB ratio and spread
1 RAY = 0.0008968 SNDKB. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is -0.007 and the correlation between the legs is 0.01.
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Key numbers
over 96 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 RAY and SNDKB 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 2.67 standard deviations above its rolling mean — RAY is expensive relative to SNDKB by the standards of this window.
The spread has not shown mean reversion over the sample: estimates longer than the available history are discarded rather than reported. Trading this pair on reversion has no statistical footing here.
The current ratio sits mid-range — 80% of the way from the low to the high of the last 96 daily candles.
Frequently asked
How many SNDKB is 1 RAY?
1 RAY is worth 0.000896806 SNDKB at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the RAY/SNDKB range?
Over the last 96 daily candles the ratio traded between 0.000252 (25.06.2026) and 0.00106117 (12.09.2026).
Are RAY and SNDKB correlated?
The correlation of daily log returns between RAY and SNDKB is 0.01, 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 RAY/SNDKB spread z-score now?
The z-score is 2.67 — 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 RAY/SNDKB 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.