F / WLD ratio and spread
1 F = 0.0098574 WLD. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is 0.706 and the correlation between the legs is 0.43.
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Key numbers
over 330 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 0.71. Signals from this pair carry more noise than on a tightly linked one.
The spread currently sits at 5.21 standard deviations above its rolling mean — F is expensive relative to WLD by the standards of this window.
Reversion is slow: the spread needs roughly 33 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 near the bottom of its range — only 16% of the way from the low to the high of the last 330 daily candles.
Frequently asked
How many WLD is 1 F?
1 F is worth 0.00985738 WLD at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the F/WLD range?
Over the last 330 daily candles the ratio traded between 0.00560243 (17.06.2026) and 0.0316297 (25.10.2025).
Are F and WLD correlated?
The correlation of daily log returns between F and WLD 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 F/WLD spread z-score now?
The z-score is 5.21 — 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 F/WLD 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 33 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.