ALGO / SEI ratio and spread
1 ALGO = 1.761 SEI. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is 0.461 and the correlation between the legs is 0.70.
If you hold ALGO · If you hold SEI
Sign in to keep favourite pairs.
Alerts
Sign in to set your own alerts.
Key numbers
over 365 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 closely together — correlation of daily log returns is 0.70. The fitted hedge ratio is 0.46, meaning roughly 0.46 units of SEI exposure balance one unit of ALGO.
The spread is at -0.17 standard deviations from its rolling mean, which is effectively at its own norm.
Historically the spread covers half the way back to its mean in about 17 days, so a divergence here tends to resolve within weeks rather than months.
The current ratio sits mid-range — 65% of the way from the low to the high of the last 365 daily candles.
Frequently asked
How many SEI is 1 ALGO?
1 ALGO is worth 1.76072 SEI at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the ALGO/SEI range?
Over the last 365 daily candles the ratio traded between 0.739207 (29.09.2025) and 2.31423 (05.04.2026).
Are ALGO and SEI correlated?
The correlation of daily log returns between ALGO and SEI is 0.70, which counts as a strong 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 ALGO/SEI spread z-score now?
The z-score is -0.17 — 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 ALGO/SEI suitable for a pair trade?
The mechanics hold up: correlation is 0.70 and the spread historically covers half the way back to its mean in about 17 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.