STRK / TIA ratio and spread
1 STRK = 0.1076803 TIA. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is 1.286 and the correlation between the legs is 0.64.
If you hold STRK · If you hold TIA
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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 together only moderately — correlation of daily log returns is 0.64, with a hedge ratio of 1.29. Signals from this pair carry more noise than on a tightly linked one.
The spread is at 0.55 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 28 days, so a divergence here tends to resolve within weeks rather than months.
The current ratio sits near the bottom of its range — only 14% of the way from the low to the high of the last 375 daily candles.
Frequently asked
How many TIA is 1 STRK?
1 STRK is worth 0.10768 TIA at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the STRK/TIA range?
Over the last 375 daily candles the ratio traded between 0.0676165 (07.09.2026) and 0.354707 (21.11.2025).
Are STRK and TIA correlated?
The correlation of daily log returns between STRK and TIA is 0.64, 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 STRK/TIA spread z-score now?
The z-score is 0.55 — 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 STRK/TIA suitable for a pair trade?
The mechanics hold up: correlation is 0.64 and the spread historically covers half the way back to its mean in about 28 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.