AVA / DASH ratio and spread
1 AVA = 0.004932 DASH. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is 0.491 and the correlation between the legs is 0.24.
Sign in to keep favourite pairs.
Alerts
Sign in to set your own alerts.
Key numbers
over 354 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 0.24. A spread built on such a weak link reverts by coincidence rather than by mechanism.
The spread currently sits at -2.15 standard deviations from its rolling mean — AVA is cheap relative to DASH by the standards of this window.
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 14% of the way from the low to the high of the last 354 daily candles.
Frequently asked
How many DASH is 1 AVA?
1 AVA is worth 0.00493195 DASH at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the AVA/DASH range?
Over the last 354 daily candles the ratio traded between 0.00222547 (06.09.2026) and 0.0219506 (29.09.2025).
Are AVA and DASH correlated?
The correlation of daily log returns between AVA and DASH is 0.24, 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 AVA/DASH spread z-score now?
The z-score is -2.15 — 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 AVA/DASH suitable for a pair trade?
Weakly. Correlation is only 0.24, 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.