ALGO / LTC ratio and spread
1 ALGO = 0.0019017 LTC. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is 0.871 and the correlation between the legs is 0.72.
If you hold ALGO · If you hold LTC
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Key numbers
over 365 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 0.72. The fitted hedge ratio is 0.87, meaning roughly 0.87 units of LTC exposure balance one unit of ALGO.
The spread is at -1.18 standard deviations from its rolling mean: away from the norm, but not far enough to call it stretched.
Historically the spread covers half the way back to its mean in about 18 days, so a divergence here tends to resolve within weeks rather than months.
The current ratio sits mid-range — 38% of the way from the low to the high of the last 365 daily candles.
Frequently asked
How many LTC is 1 ALGO?
1 ALGO is worth 0.00190172 LTC at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the ALGO/LTC range?
Over the last 365 daily candles the ratio traded between 0.00143666 (22.12.2025) and 0.00264494 (30.05.2026).
Are ALGO and LTC correlated?
The correlation of daily log returns between ALGO and LTC is 0.72, 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 ALGO/LTC spread z-score now?
The z-score is -1.18 — 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 ALGO/LTC suitable for a pair trade?
The mechanics hold up: correlation is 0.72 and the spread historically covers half the way back to its mean in about 18 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.