Introduction

Anyone may design unique and gas-efficient markets for lending, borrowing, and collateralizing a variety of DeFi tokens, stablecoins, and synthetic assets using the Kashi lending and margin trading platform, which is based on BentoBox. Kashi has its own isolated market structure to support its wide variety of tokens. In Kashi, each market is completely independent (similar to the Sushiswap DEX), hence the risk of assets in one loan market has no bearing on the risk of another lending market, in contrast to standard DeFi money markets where high-risk assets can bring risk to the whole protocol.

Because it allows the user to take a short position on their assets and profit from downward moves, borrowing can leverage a user's position. Users can access tokens without diminishing their assets by borrowing assets and adding security to those assets.

The Kashi loan platform enables yield on assets for non-traders using BentoBox, which serves as Kashi's wallet. Users of the site may combine yield sources, collecting fees from SushiSwap traders, incentives from mining for Onsen liquidity, and interest rates paid by Kashi users.For more details refer to:

Methodology

There are various things done by the query used here. The main motive is to get the transaction fee of Kashi markets and to compare them with Ethereum and Polygon networks. Hence as recommended cross-chain data is used to reveal the details such as the fee collected and the function, the users and the transactions as well as different tokens over time for both lending and borrowing events. This is aggregated for date and the same is repeated for both Ethereum networks the important constraint is by choosing a platform as sushi and also by combining using the transaction hash from the core transactions of both the networks. Then they are also aggregated separately on the basis of the lending pools in both ecosystems. Now let us look in detail much about each parameter.

The data that displays various information starting from the transactions that happened and the fee collected is listed here Additional pieces of information such as the actions that occurred there and the main events such as lending and borrowing are also displayed separately so as to give an idea about the parent tables of the data and then the various tokens involved in transactions is also listed here.This table displays the polygon network’s data and below this appending the same for the Ethereum data so that a better perception can be obtained.

The charts here display the fees collected for each transaction over time for both polygon and Ethereum main net and the values are in logarithmic scale so as to improve the visualization of the chart. The chart implies that the data is more for Ethereum network and also implies that both lending and borrowing has almost equal shares in making the fee.

The transacted volume is charted here as a function of period and it is seen that the volume of transactions is comparatively less in recent times than earlier.This has also to do with both borrowing and lending as a whole.The data of Ethereum is charted here.

The transacted volume of the polygon network is charted here and this is accounted for in both borrowing and lending processes the data is charted with period and it has indicated that the transaction volume was decreasing over time and also a sudden increase is also seen.

The distinct users in both polygon and Ethereum network are chosen here and charted over time.The trend seen here is such that the users in the Ethereum is decreasing over time but then the polygon has maintained to be stable with an increase in the users in the recent days.

The fees that is collected by users for different tokens are charted here and it is seen that over time and the polygon network has transacted with comparetively less value than the Ethereum mainnet over time.

The lending pools responsible for different transactions in the networks and then the fee collected is aggregated for the pools in both polygon and Ethereum network.

The different pools are charted with the corresponding fee collected by the network and the left shows the data of the Ethereum and Right displays the data of the Polygon.This indicates that the kmxSUSHI/DAI-LINK is the most fee collected lending pool in the Ethereum network while kmWETH/DAI-LINK is the most fee collected pool in polygon network.As a final piece the trend shown by the pools is also displayed below.

The trendline followed by the network in the fee collected is displayed here with different lending pools.