SYN / SAGA ratio and spread
1 SYN = 8.991 SAGA. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is -0.186 and the correlation between the legs is 0.22.
Sign in to keep favourite pairs.
Alerts
Sign in to set your own alerts.
Key numbers
over 353 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 SYN and SAGA moved in opposite directions. A pair trade assumes the legs move together, so this combination does not qualify as one.
The spread is at -0.65 standard deviations from its rolling mean, which is effectively at its own norm.
Reversion is slow: the spread needs roughly 36 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 16% of the way from the low to the high of the last 353 daily candles.
Frequently asked
How many SAGA is 1 SYN?
1 SYN is worth 8.99074 SAGA at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the SYN/SAGA range?
Over the last 353 daily candles the ratio traded between 0.530973 (06.10.2025) and 55.0859 (30.06.2026).
Are SYN and SAGA correlated?
The correlation of daily log returns between SYN and SAGA is 0.22, 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 SYN/SAGA spread z-score now?
The z-score is -0.65 — 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 SYN/SAGA 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.