Overview

The Ethereum merge will reduce Ethereum’s enormous carbon footprint, by switching the validation system from PoW to PoS. However, this significant change while will decrease high transaction fee problem, will not solve the scalability of the Ethereum blockchain. This implies that the speed and success rate of the chain will remain relevant questions .

Sushiswap, built on Ethereum, is amongst the top 20 DEXes according to CoinMarketCap data. It enables users to swap a variety of token pairs, lend and borrow tokens and provide liquidity to liquidity pools to earn yield.

This dashboard investigates how Ethereum blockchain performs with regards to:

swapping,
borrowing,
lending and,
adding and removing liquidity.

Method and Data

To breakdown overall success rate on Sushiswap into action types, FlipSide’s database including ethereum.core.fact_transactions, ethereum.sushi.ez_swaps, ethereum.sushi.ez_lending and ethereum.sushi.ez_borrowing have been used.

For swapping, borrowing and lending the following method has been used: All function signatures handled these actions were identified through corresponding tables. Then, transactions by identified functions have been extracted to calculate success rate.

Life time success rate broken into actions

In this section we can compare success rate between actions.

Interestingly borrowing and lending actions have the lowest success rate. Swapping has the second highest success rate and adding and removing liquidities has the highest success rate.

Descriptives

This section shows the total number of succeeded and failed transactions as well as success rate in the period of your choice.

You can see also how the success rate has changed over time.

We can see a slight decrease in success rate in 2022.

You can change your period of choice using the parameters above the dashboard.

Success rate over time

We can see that recently borrowers has gotten most frequent failed transactions.

Overall adding and removing liquidity has the highest success rate.