G / AAVE ratio and spread
1 G = 6.25E-5 AAVE. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is 0.732 and the correlation between the legs is 0.41.
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Key numbers
over 355 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 0.41, with a hedge ratio of 0.73. Signals from this pair carry more noise than on a tightly linked one.
The spread is at 1.13 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 6 days, so a divergence here tends to resolve within weeks rather than months.
The current ratio sits in the upper part of its range — 100% of the way from the low to the high of the last 355 daily candles.
Frequently asked
How many AAVE is 1 G?
1 G is worth 0.000062486101845675 AAVE at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the G/AAVE range?
Over the last 355 daily candles the ratio traded between 0.000023484316795336 (18.12.2025) and 0.000062486101845675 (18.09.2026).
Are G and AAVE correlated?
The correlation of daily log returns between G and AAVE is 0.41, 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 G/AAVE spread z-score now?
The z-score is 1.13 — 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 G/AAVE suitable for a pair trade?
The mechanics hold up: correlation is 0.41 and the spread historically covers half the way back to its mean in about 6 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.