G / FIL ratio and spread
1 G = 0.0086901 FIL. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is 0.717 and the correlation between the legs is 0.42.
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Key numbers
over 356 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 0.42, with a hedge ratio of 0.72. Signals from this pair carry more noise than on a tightly linked one.
The spread currently sits at 5.11 standard deviations above its rolling mean — G is expensive relative to FIL by the standards of this window.
Historically the spread covers half the way back to its mean in about 14 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 356 daily candles.
Frequently asked
How many FIL is 1 G?
1 G is worth 0.00869007 FIL at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the G/FIL range?
Over the last 356 daily candles the ratio traded between 0.00176441 (07.11.2025) and 0.00869007 (19.09.2026).
Are G and FIL correlated?
The correlation of daily log returns between G and FIL is 0.42, 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/FIL spread z-score now?
The z-score is 5.11 — 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/FIL suitable for a pair trade?
The mechanics hold up: correlation is 0.42 and the spread historically covers half the way back to its mean in about 14 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.