ICP / RLUSD ratio and spread
1 ICP = 3.414 RLUSD. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is -51.343 and the correlation between the legs is 0.01.
If you hold ICP · If you hold RLUSD
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Key numbers
over 251 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 ICP and RLUSD 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 2.12 standard deviations above its rolling mean — ICP is expensive relative to RLUSD by the standards of this window.
Historically the spread covers half the way back to its mean in about 9 days, so a divergence here tends to resolve within weeks rather than months.
The current ratio sits mid-range — 66% of the way from the low to the high of the last 251 daily candles.
Frequently asked
How many RLUSD is 1 ICP?
1 ICP is worth 3.41398 RLUSD at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the ICP/RLUSD range?
Over the last 251 daily candles the ratio traded between 2.08629 (01.08.2026) and 4.09118 (09.05.2026).
Are ICP and RLUSD correlated?
The correlation of daily log returns between ICP and RLUSD 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 ICP/RLUSD spread z-score now?
The z-score is 2.12 — 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 ICP/RLUSD 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.