G / PAXG ratio and spread
1 G = 1.7E-6 PAXG. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is -1.271 and the correlation between the legs is 0.14.
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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 fitted hedge ratio is negative: over the window G and PAXG moved in opposite directions. A pair trade assumes the legs move together, so this combination does not qualify as one.
The spread currently sits at 2.25 standard deviations above its rolling mean — G is expensive relative to PAXG by the standards of this window.
Historically the spread covers half the way back to its mean in about 21 days, so a divergence here tends to resolve within weeks rather than months.
The current ratio sits mid-range — 52% of the way from the low to the high of the last 355 daily candles.
Frequently asked
How many PAXG is 1 G?
1 G is worth 0.000001735146664472 PAXG at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the G/PAXG range?
Over the last 355 daily candles the ratio traded between 0.000000627976144612 (08.03.2026) and 0.000002740366941817 (03.10.2025).
Are G and PAXG correlated?
The correlation of daily log returns between G and PAXG is 0.14, 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 G/PAXG spread z-score now?
The z-score is 2.25 — 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/PAXG suitable for a pair trade?
No. The fitted hedge ratio is negative, meaning the legs moved in opposite directions over the window — the market-neutral construction that pair trading relies on does not hold here.
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.