STRK / ICP ratio and spread
1 STRK = 0.0168956 ICP. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is 2.010 and the correlation between the legs is 0.61.
If you hold STRK · If you hold ICP
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Key numbers
over 958 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 together only moderately — correlation of daily log returns is 0.61, with a hedge ratio of 2.01. Signals from this pair carry more noise than on a tightly linked one.
The spread is at -0.44 standard deviations from its rolling mean, which is effectively at its own norm.
Historically the spread covers half the way back to its mean in about 21 days, so a divergence here tends to resolve within weeks rather than months.
The current ratio sits near the bottom of its range — only 1% of the way from the low to the high of the last 958 daily candles.
Frequently asked
How many ICP is 1 STRK?
1 STRK is worth 0.0168956 ICP at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the STRK/ICP range?
Over the last 958 daily candles the ratio traded between 0.0100566 (18.08.2026) and 0.52449 (20.02.2024).
Are STRK and ICP correlated?
The correlation of daily log returns between STRK and ICP is 0.61, 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 STRK/ICP spread z-score now?
The z-score is -0.44 — 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 STRK/ICP suitable for a pair trade?
The mechanics hold up: correlation is 0.61 and the spread historically covers half the way back to its mean in about 21 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.