TAO / ENJ ratio and spread
1 TAO = 8323.83 ENJ. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is 0.267 and the correlation between the legs is 0.53.
If you hold TAO · If you hold ENJ
Sign in to keep favourite pairs.
Alerts
Sign in to set your own alerts.
Key numbers
over 906 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 0.53, with a hedge ratio of 0.27. Signals from this pair carry more noise than on a tightly linked one.
The spread is at 1.54 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 30 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 mid-range — 45% of the way from the low to the high of the last 906 daily candles.
Frequently asked
How many ENJ is 1 TAO?
1 TAO is worth 8323.83 ENJ at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the TAO/ENJ range?
Over the last 906 daily candles the ratio traded between 1106.08 (28.05.2024) and 17188.4 (25.03.2026).
Are TAO and ENJ correlated?
The correlation of daily log returns between TAO and ENJ is 0.53, 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 TAO/ENJ spread z-score now?
The z-score is 1.54 — 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 TAO/ENJ suitable for a pair trade?
The mechanics hold up: correlation is 0.53 and the spread historically covers half the way back to its mean in about 30 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.