SAGA / W ratio and spread
1 SAGA = 1.765 W. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is 1.026 and the correlation between the legs is 0.41.
If you hold SAGA · If you hold W
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Key numbers
over 364 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 0.41, with a hedge ratio of 1.03. Signals from this pair carry more noise than on a tightly linked one.
The spread is at 1.74 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 6 days, so a divergence here tends to resolve within weeks rather than months.
The current ratio sits near the bottom of its range — only 9% of the way from the low to the high of the last 364 daily candles.
Frequently asked
How many W is 1 SAGA?
1 SAGA is worth 1.76509 W at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the SAGA/W range?
Over the last 364 daily candles the ratio traded between 1.21739 (26.06.2026) and 7.63919 (25.09.2026).
Are SAGA and W correlated?
The correlation of daily log returns between SAGA and W is 0.41, 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 SAGA/W spread z-score now?
The z-score is 1.74 — 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 SAGA/W suitable for a pair trade?
The mechanics hold up: correlation is 0.41 and the spread historically covers half the way back to its mean in about 6 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.