COTI / BNB ratio and spread
1 COTI = 3.14E-5 BNB. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is 1.993 and the correlation between the legs is 0.40.
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Key numbers
over 355 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 0.40, with a hedge ratio of 1.99. Signals from this pair carry more noise than on a tightly linked one.
The spread currently sits at 2.60 standard deviations above its rolling mean — COTI is expensive relative to BNB by the standards of this window.
Historically the spread covers half the way back to its mean in about 8 days, so a divergence here tends to resolve within weeks rather than months.
The current ratio sits mid-range — 36% of the way from the low to the high of the last 355 daily candles.
Frequently asked
How many BNB is 1 COTI?
1 COTI is worth 0.000031368488988087 BNB at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the COTI/BNB range?
Over the last 355 daily candles the ratio traded between 0.000012883957562814 (20.07.2026) and 0.000063773382580722 (09.11.2025).
Are COTI and BNB correlated?
The correlation of daily log returns between COTI and BNB is 0.40, 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 COTI/BNB spread z-score now?
The z-score is 2.60 — 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 COTI/BNB suitable for a pair trade?
The mechanics hold up: correlation is 0.40 and the spread historically covers half the way back to its mean in about 8 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.