G / FET ratio and spread
1 G = 0.0416862 FET. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is 0.735 and the correlation between the legs is 0.43.
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Key numbers
over 357 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 0.43, with a hedge ratio of 0.74. Signals from this pair carry more noise than on a tightly linked one.
The spread currently sits at 5.77 standard deviations above its rolling mean — G is expensive relative to FET by the standards of this window.
Reversion is slow: the spread needs roughly 129 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 in the upper part of its range — 100% of the way from the low to the high of the last 357 daily candles.
Frequently asked
How many FET is 1 G?
1 G is worth 0.0416862 FET at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the G/FET range?
Over the last 357 daily candles the ratio traded between 0.0119927 (03.06.2026) and 0.0416862 (20.09.2026).
Are G and FET correlated?
The correlation of daily log returns between G and FET is 0.43, 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/FET spread z-score now?
The z-score is 5.77 — 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 G/FET suitable for a pair trade?
The mechanics hold up: correlation is 0.43 and the spread historically covers half the way back to its mean in about 129 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.