XLM / ORCA ratio and spread
1 XLM = 0.0829428 ORCA. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is 0.609 and the correlation between the legs is 0.39.
If you hold XLM · If you hold ORCA
XLM is cheaper against ORCA than in 5 % of the time over 1.8 years. If you hold ORCA, this is worth a look at rotating into XLM.
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Key numbers
over 670 daily candles
How each of these is computed: regression spread, hedge ratio, spread z-score, half-life, correlation.
What the numbers say
The legs barely move together: correlation of daily log returns is only 0.39. A spread built on such a weak link reverts by coincidence rather than by mechanism.
The spread is at -1.22 standard deviations from its rolling mean: away from the norm, but not far enough to call it stretched.
Historically the spread covers half the way back to its mean in about 27 days, so a divergence here tends to resolve within weeks rather than months.
The current ratio sits mid-range — 22% of the way from the low to the high of the last 670 daily candles.
Frequently asked
How many ORCA is 1 XLM?
1 XLM is worth 0.0829428 ORCA at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the XLM/ORCA range?
Over the last 670 daily candles the ratio traded between 0.0390391 (06.12.2024) and 0.237285 (26.11.2025).
Are XLM and ORCA correlated?
The correlation of daily log returns between XLM and ORCA is 0.39, 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 XLM/ORCA spread z-score now?
The z-score is -1.22 — 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 XLM/ORCA suitable for a pair trade?
Weakly. Correlation is only 0.39, so the legs do not reliably move together and the spread carries mostly idiosyncratic noise.
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.