XLM / AAVE ratio and spread
1 XLM = 0.0015413 AAVE. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is 0.527 and the correlation between the legs is 0.58.
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Key numbers
over 353 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 0.58, with a hedge ratio of 0.53. Signals from this pair carry more noise than on a tightly linked one.
The spread is at -1.18 standard deviations from its rolling mean: away from the norm, but not far enough to call it stretched.
Historically the spread covers half the way back to its mean in about 26 days, so a divergence here tends to resolve within weeks rather than months.
The current ratio sits near the bottom of its range — only 16% of the way from the low to the high of the last 353 daily candles.
Frequently asked
How many AAVE is 1 XLM?
1 XLM is worth 0.00154128 AAVE at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the XLM/AAVE range?
Over the last 353 daily candles the ratio traded between 0.0011618 (16.12.2025) and 0.00354831 (30.05.2026).
Are XLM and AAVE correlated?
The correlation of daily log returns between XLM and AAVE is 0.58, 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 XLM/AAVE spread z-score now?
The z-score is -1.18 — 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 XLM/AAVE suitable for a pair trade?
The mechanics hold up: correlation is 0.58 and the spread historically covers half the way back to its mean in about 26 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.