MET / TIA ratio and spread
1 MET = 0.8560281 TIA. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is 1.056 and the correlation between the legs is 0.48.
If you hold MET · If you hold TIA
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Key numbers
over 330 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 0.48, with a hedge ratio of 1.06. Signals from this pair carry more noise than on a tightly linked one.
The spread currently sits at 2.77 standard deviations above its rolling mean — MET is expensive relative to TIA by the standards of this window.
Historically the spread covers half the way back to its mean in about 29 days, so a divergence here tends to resolve within weeks rather than months.
The current ratio sits in the upper part of its range — 100% of the way from the low to the high of the last 330 daily candles.
Frequently asked
How many TIA is 1 MET?
1 MET is worth 0.856028 TIA at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the MET/TIA range?
Over the last 330 daily candles the ratio traded between 0.274231 (17.06.2026) and 0.856028 (08.10.2026).
Are MET and TIA correlated?
The correlation of daily log returns between MET and TIA is 0.48, 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 MET/TIA spread z-score now?
The z-score is 2.77 — the spread is stretched beyond two standard deviations. It measures how far the regression residual log(A) − β·log(B) sits from its rolling mean, in standard deviations.
Is MET/TIA suitable for a pair trade?
The mechanics hold up: correlation is 0.48 and the spread historically covers half the way back to its mean in about 29 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.