ICP / DASH ratio and spread
1 ICP = 0.0557079 DASH. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is 0.648 and the correlation between the legs is 0.37.
If you hold ICP · If you hold DASH
ICP is cheaper against DASH than in 4 % of the time over 1.0 years. If you hold DASH, this is worth a look at rotating into ICP.
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Key numbers
over 366 daily candles
How each of these is computed: regression spread, hedge ratio, spread z-score, half-life, correlation.
What the numbers say
The legs barely move together: correlation of daily log returns is only 0.37. A spread built on such a weak link reverts by coincidence rather than by mechanism.
The spread is at -0.97 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 9 days, so a divergence here tends to resolve within weeks rather than months.
The current ratio sits near the bottom of its range — only 13% of the way from the low to the high of the last 366 daily candles.
Frequently asked
How many DASH is 1 ICP?
1 ICP is worth 0.0557079 DASH at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the ICP/DASH range?
Over the last 366 daily candles the ratio traded between 0.0356634 (06.09.2026) and 0.186303 (29.09.2025).
Are ICP and DASH correlated?
The correlation of daily log returns between ICP and DASH is 0.37, 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/DASH spread z-score now?
The z-score is -0.97 — 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 ICP/DASH suitable for a pair trade?
Weakly. Correlation is only 0.37, so the legs do not reliably move together and the spread carries mostly idiosyncratic noise.
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.