TIA / UNI ratio and spread
1 TIA = 0.0697605 UNI. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is 0.788 and the correlation between the legs is 0.71.
If you hold TIA · If you hold UNI
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Key numbers
over 375 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 0.71. The fitted hedge ratio is 0.79, meaning roughly 0.79 units of UNI exposure balance one unit of TIA.
The spread is at -1.13 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 45 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 16% of the way from the low to the high of the last 375 daily candles.
Frequently asked
How many UNI is 1 TIA?
1 TIA is worth 0.0697605 UNI at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the TIA/UNI range?
Over the last 375 daily candles the ratio traded between 0.0452357 (18.09.2026) and 0.196902 (07.11.2025).
Are TIA and UNI correlated?
The correlation of daily log returns between TIA and UNI is 0.71, 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 TIA/UNI spread z-score now?
The z-score is -1.13 — 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 TIA/UNI suitable for a pair trade?
The mechanics hold up: correlation is 0.71 and the spread historically covers half the way back to its mean in about 45 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.