W / XLM ratio and spread
1 W = 0.0730019 XLM. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is 2.516 and the correlation between the legs is 0.56.
If you hold W · If you hold XLM
Sign in to keep favourite pairs.
Alerts
Sign in to set your own alerts.
Key numbers
over 364 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 0.56, with a hedge ratio of 2.52. Signals from this pair carry more noise than on a tightly linked one.
The spread is at -0.71 standard deviations from its rolling mean, which is effectively at its own norm.
Reversion is slow: the spread needs roughly 41 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 10% of the way from the low to the high of the last 364 daily candles.
Frequently asked
How many XLM is 1 W?
1 W is worth 0.0730019 XLM at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the W/XLM range?
Over the last 364 daily candles the ratio traded between 0.0399061 (30.05.2026) and 0.358274 (07.10.2025).
Are W and XLM correlated?
The correlation of daily log returns between W and XLM is 0.56, 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 W/XLM spread z-score now?
The z-score is -0.71 — 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 W/XLM suitable for a pair trade?
The mechanics hold up: correlation is 0.56 and the spread historically covers half the way back to its mean in about 41 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.