AMP / DASH ratio and spread
1 AMP = 9.8E-6 DASH. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is 1.104 and the correlation between the legs is 0.40.
If you hold AMP · If you hold DASH
AMP is cheaper against DASH than in 2 % of the time over 4.8 years. If you hold DASH, this is worth a look at rotating into AMP.
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Key numbers
over 1770 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 0.40. A spread built on such a weak link reverts by coincidence rather than by mechanism.
The spread is at -0.86 standard deviations from its rolling mean, which is effectively at its own norm.
Reversion is slow: the spread needs roughly 821 days to cover half the way back to its mean. A position would have to be held for a long time.
The current ratio sits near the bottom of its range — only 1% of the way from the low to the high of the last 1770 daily candles.
Frequently asked
How many DASH is 1 AMP?
1 AMP is worth 0.000009845070422535 DASH at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the AMP/DASH range?
Over the last 1770 daily candles the ratio traded between 0.000005795627859685 (06.09.2026) and 0.000552422 (12.03.2024).
Are AMP and DASH correlated?
The correlation of daily log returns between AMP and DASH is 0.40, 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 AMP/DASH spread z-score now?
The z-score is -0.86 — 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 AMP/DASH suitable for a pair trade?
Weakly. Correlation is only 0.40, 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.