LTC / INJ ratio and spread
1 LTC = 8.955 INJ. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is 0.507 and the correlation between the legs is 0.71.
Sign in to keep favourite pairs.
Alerts
Sign in to set your own alerts.
Key numbers
over 350 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 closely together — correlation of daily log returns is 0.71. The fitted hedge ratio is 0.51, meaning roughly 0.51 units of INJ exposure balance one unit of LTC.
The spread is at 0.82 standard deviations from its rolling mean, which is effectively at its own norm.
Reversion is slow: the spread needs roughly 183 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 near the bottom of its range — only 17% of the way from the low to the high of the last 350 daily candles.
Frequently asked
How many INJ is 1 LTC?
1 LTC is worth 8.95513 INJ at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the LTC/INJ range?
Over the last 350 daily candles the ratio traded between 6.9236 (02.06.2026) and 19.169 (05.04.2026).
Are LTC and INJ correlated?
The correlation of daily log returns between LTC and INJ is 0.71, which counts as a strong 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 LTC/INJ spread z-score now?
The z-score is 0.82 — 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 LTC/INJ suitable for a pair trade?
The mechanics hold up: correlation is 0.71 and the spread historically covers half the way back to its mean in about 183 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.