Introduction

in this dashboard we will analyze swaps on Uniswap and Sushiswap and then compare them and also check for any correlation between these two DEX.

Uniswap and Sushiswap are both well known DEXs on several chains with a lot of users.

Methodology

we have filtered all data to start from January 2022.

we also have used Flipside databases to provide these statistics.

since we need to check for correlation in the surge, so best way is to find data per day and check for any surge and if found compare them.

Analyze

we have found some metrics for these two DEX which are:

1. number of swaps
2. number of unique users
3. swap volume

we will show these metrics per day and compare them.

this chart shows number of swaps on both Uniswap and Sushiswap per day since January 2022.

number of swaps on Uniswap are more than Sushiswap.

there is some increasing trend and also spikes for Uniswap per day for example: April 4th but in this day on Sushiswap there is no spike for number of swaps.

actually this chart shows that there is no clear correlation between Sushiswap and Uniswap for number of swaps since Jan 2022.

and this chart shows number of unique users per day for both Sushiswap and Uniswap since Jan 2022.

if we just consider overall trend we see a correlation on increasing and decreasing trend for both.

for example from the start of Jan there is a decreasing trend for Uniswap and also Sushiswap.

also on March number of unique users per day increases for both platform.

so for number of unique users we can say there is some correlation between Uniswap and Sushiswap.

and finally this chart shows swap volume for both DEX.

swap volume is total swap amount , which is swap amount for sold and bought tokens, in USD.

as we see swap volume for both DEX has a strong correlation.

when swap volume for one is increased for another one is increased too and vice versa.

Result

we have compared Uniswap and Sushiswap in some metrics from January 2022.

• for number of swaps there is no clear correlation between these two DEXs.
• for number of unique users per day there is some correlation for both.
• and for swap volume there is a strong correlation for both DEX.