MET / STRK ratio and spread
1 MET = 7.355 STRK. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is 0.453 and the correlation between the legs is 0.36.
If you hold MET · If you hold STRK
Sign in to keep favourite pairs.
Alerts
Sign in to set your own alerts.
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 barely move together: correlation of daily log returns is only 0.36. A spread built on such a weak link reverts by coincidence rather than by mechanism.
The spread currently sits at 2.70 standard deviations above its rolling mean — MET is expensive relative to STRK by the standards of this window.
Reversion is slow: the spread needs roughly 50 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 — 74% of the way from the low to the high of the last 330 daily candles.
Frequently asked
How many STRK is 1 MET?
1 MET is worth 7.35543 STRK at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the MET/STRK range?
Over the last 330 daily candles the ratio traded between 1.28346 (21.11.2025) and 9.51115 (11.09.2026).
Are MET and STRK correlated?
The correlation of daily log returns between MET and STRK is 0.36, 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 MET/STRK spread z-score now?
The z-score is 2.70 — 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/STRK suitable for a pair trade?
Weakly. Correlation is only 0.36, 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.