PEPE / SYN ratio and spread
1 PEPE = 1.92E-5 SYN. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is -0.135 and the correlation between the legs is 0.24.
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 PEPE and SYN moved in opposite directions. A pair trade assumes the legs move together, so this combination does not qualify as one.
The spread is at 0.63 standard deviations from its rolling mean, which is effectively at its own norm.
Historically the spread covers half the way back to its mean in about 24 days, so a divergence here tends to resolve within weeks rather than months.
The current ratio sits near the bottom of its range — only 13% of the way from the low to the high of the last 353 daily candles.
Frequently asked
How many SYN is 1 PEPE?
1 PEPE is worth 0.000019159279382328 SYN at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the PEPE/SYN range?
Over the last 353 daily candles the ratio traded between 0.000003299365185433 (30.06.2026) and 0.000121 (04.01.2026).
Are PEPE and SYN correlated?
The correlation of daily log returns between PEPE and SYN is 0.24, 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 PEPE/SYN spread z-score now?
The z-score is 0.63 — 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 PEPE/SYN 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.