AMP / VTHO ratio and spread
1 AMP = 0.8941327 VTHO. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is 1.306 and the correlation between the legs is 0.38.
If you hold AMP · If you hold VTHO
AMP is cheaper against VTHO than in 2 % of the time over 4.8 years. If you hold VTHO, 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 0.38. A spread built on such a weak link reverts by coincidence rather than by mechanism.
The spread is at -1.41 standard deviations from its rolling mean: away from the norm, but not far enough to call it stretched.
Reversion is slow: the spread needs roughly 66 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 5% of the way from the low to the high of the last 1770 daily candles.
Frequently asked
How many VTHO is 1 AMP?
1 AMP is worth 0.894133 VTHO at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the AMP/VTHO range?
Over the last 1770 daily candles the ratio traded between 0.387151 (13.09.2026) and 10.6241 (30.06.2022).
Are AMP and VTHO correlated?
The correlation of daily log returns between AMP and VTHO is 0.38, 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/VTHO spread z-score now?
The z-score is -1.41 — 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/VTHO suitable for a pair trade?
Weakly. Correlation is only 0.38, 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.