Introduction

A variety of DeFi tokens, stablecoins, and synthetic assets may be lent, borrowed from, and used as collateral on the Kashi lending and margin trading platform, which is built on BentoBox, by anybody. To support its enormous range of tokens, Kashi has created its own unique, segregated market system. In contrast to standard DeFi money markets, where high-risk assets can put the entire protocol at risk, each market in Kashi is completely independent from the others (similar to the Sushiswap DEX). As a result, the risk of assets in one lending market has no bearing on the risk of another lending market.

Borrowing can leverage a user's position since it enables the user to take a short position on their assets and profit from negative movements. By borrowing assets and providing security for those assets, users may obtain tokens without reducing their holdings.

For those who deposit funds for lending on Kashi, Sushi is providing further incentives. The depositor can gain additional APY by staking their lending position into an ONSEN farm in addition to the APY they already receive through lending.Using BentoBox, Kashi's wallet, the Kashi lending platform offers yield on assets for non-traders. Users of the platform have the option to combine several income sources, earning commissions from SushiSwap traders, rewards from mining for Onsen liquidity, and interest from Kashi users. See for additional information.

Methodology

This dashboard is created with a set of complex queries where initially the users and the liquidity pool token symbols are gathered with their corresponding Liquidity balance and the amount of staked tokens from the event fact logs and charted to see the liquidity added over tokens and the amount staked by the users over the whole period of time. Then the lending happened is accounted with the lenders and the count of pools each lender farm or lend is stated by taking either lend only or lend and farm. Furthermore, the total supply, TVL, and the amount of Liquidity over various tokens are charted with different lending pools. Finally, More parameters such as for each lending pool and Liquidity pool, the volume of farms, and no farms are also listed, then the allocated points and TVL rank are also considered. The farmers over different pools are charted with the amount of staked amount with the total liquidity token supplied as well as the percentage of stake is also listed.

The chart on the left shows the information about the balance held by the users as Liquidity in the pools. and it is seen that the users are holding the liquidity in kmWETH/USDC pool and 0x455fef5aecaccd3a4bce2c303393e10f22c63 is the user who holds the highest balance as Liquidity.

The chart in the left displays the users who have staked their liquidity amount. The pie diagram shows the percentage of the staked amount that is held by two distinct users and it is seen in the ratio of 70:30 in approximate.

This data is accounted for the whole period available in the data.

The table that indicates the lending as well as the farming activity of users in the kashi network is shown here with the lending pools as well the farm included pool with two constraints as lending /lending with farming.

The donut diagram above shows the count of the liquidity pools involved in both lending as well as with lending and farming as a whole and it is seen that most pools preferred to only lend but the number of the farming pool is also high that it has managed to obtain more than 42% and in the right shows the users that have only involved in farm lending pools as we are more into the farms we look in detail about the users in the farm lending pools. Note that for better representation the farmed lending pools are displayed on a logarithmic scale.

Now that the bar diagram on the right displays the total amount that is added by each users with different colours denoting the pools where the mentioned amount is deposited and kmCRV/DAI-LINK has the highest amount deposited by a single user.

Towards the right displays the chart of different pools and the amount that is added with different token and so the chart is made with USD to generalize the different price of tokens and the pools with USDC//WBTC and USDT/WBTC pool holds the highest amount of the token in USD.

The TVL over different pools are charted here and as seen in the amount of the supply it is same as that chart which is because the TVL is calculated with the total supply provided.

This chart at the right shows the total farmers distributed over all the pools in the network. This indicates that wNXM/USDC has the highest number of farmers over time comparing all the users in the kashi network.

The line chart to the left displays the amount of liquidity that is supplied over different pools of the network and this shows the trend in the supplied liquidity amount and is seen that kmxSUSHI/USED-LINK lending pool has the highest supplied liquidity .

The farmed TVL over different pools in the KASHI network is displayed here so as to show the shares that are held by each pool and it is seen that USDC/FTM, as well as sUSD/RUNE, had the highest share which is even 3.79 % and this indicates the involvement of different pools in farming.

The line chart above displays various information such as the trend in the pool name with the TVL ,allocated time and the farmed TVL rank with the total lenders over time and it is seen that the TVL rank and farmed TVL rank shares the same trend with almost all the pools with a very small difference of 2. Now looking at the lenders over different pools as seen before USDC/xSUSHI pool has the highest number of lenders with 1st rank in TVL and Farrmed TVL.

The chart at the left shows the farmed pools and the volume that is used for the farm as well as no farm which only lends and it indicates that the trend is the same as mentioned above that the same pool scores the highest volume in both but then it is also seen that DAI/WBTC has the second highest volume in terms of no Farm.

The chart here shows the distribution of the TVL over different farmed pools and is seen that the USDC/xSUSHI pool has more than 30 percent of the TVL that is held by itself over the whole time.

The allocation points that is scored by each farmed pools are displayed here and it is seen that the trend is similar to the nearby chart and implies that the allocation point is also proportional to the TVL held by the farmed pools.