ERA / PUMP ratio and spread
1 ERA = 14.92 PUMP. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is 0.268 and the correlation between the legs is 0.39.
If you hold ERA · If you hold PUMP
ERA is cheaper against PUMP than in 4 % of the time over 1.0 years. If you hold PUMP, this is worth a look at rotating into ERA.
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Key numbers
over 377 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 -1.16 standard deviations from its rolling mean: away from the norm, but not far enough to call it stretched.
Reversion is slow: the spread needs roughly 144 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 3% of the way from the low to the high of the last 377 daily candles.
Frequently asked
How many PUMP is 1 ERA?
1 ERA is worth 14.9217 PUMP at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the ERA/PUMP range?
Over the last 377 daily candles the ratio traded between 9.95844 (08.10.2026) and 172.414 (11.10.2025).
Are ERA and PUMP correlated?
The correlation of daily log returns between ERA and PUMP 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 ERA/PUMP spread z-score now?
The z-score is -1.16 — 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 ERA/PUMP 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.