NIL / BANK ratio and spread
1 NIL = 3.85 BANK. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is -0.004 and the correlation between the legs is 0.13.
If you hold NIL · If you hold BANK
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Key numbers
over 317 daily candles
How each of these is computed: regression spread, hedge ratio, spread z-score, half-life, correlation.
What the numbers say
The fitted hedge ratio is negative: over the window NIL and BANK moved in opposite directions. A pair trade assumes the legs move together, so this combination does not qualify as one.
The spread currently sits at 3.79 standard deviations above its rolling mean — NIL is expensive relative to BANK by the standards of this window.
Historically the spread covers half the way back to its mean in about 16 days, so a divergence here tends to resolve within weeks rather than months.
The current ratio sits in the upper part of its range — 85% of the way from the low to the high of the last 317 daily candles.
Frequently asked
How many BANK is 1 NIL?
1 NIL is worth 3.85029 BANK at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the NIL/BANK range?
Over the last 317 daily candles the ratio traded between 0.0828571 (27.07.2026) and 4.50635 (18.11.2025).
Are NIL and BANK correlated?
The correlation of daily log returns between NIL and BANK is 0.13, 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 NIL/BANK spread z-score now?
The z-score is 3.79 — 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 NIL/BANK suitable for a pair trade?
No. The fitted hedge ratio is negative, meaning the legs moved in opposite directions over the window — the market-neutral construction that pair trading relies on does not hold here.
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.