The foundations of a great city are built by its citizens;
where they’ve been, where they’ll go, what they do along the way. Analyze the journey of active NEAR users.
After bridging to NEAR, where do they head first?
How many users are day trading in the financial district
, and how many are buyers and sellers on
the NFT marketplaces of the Arts district?
Who are the whales, and is their activity
any different from that of smaller fish?
Methodology:
1- There are two types of NEAR token money transfers in NEAR. The first method is Transfer individually The second method of group transfer Two methods were considered to obtain the balance of the wallet.
2- In this method:
-
Big Whale: Wallets with the highest balance of NEAR tokens
-
Small fish: wallets with the lowest NEAR token balance.
3- In this review, the ==route== taken for ==all users== and ==big whales== and ==small fish== has been checked
4- The meaning of routing : there are tasks that users do in the financial market, which are shown in the form of the ==task name and the number of that task in the parentheses==.
In the table below:
After Bridge-Top Bridgers-ETH Native Bridge And Rainbow To Near(Routing) checked
Sample route:
Withdraw(11526126)=>Liquid Staking(88)=>Swap(34790648)=>Add Liquidity(2130)=>Transfer(52871776
tip : The number in front of that user's action refers to the number of repetitions. In this review, only actions related to the financial market were reviewed.
Below is the ==statistics of users' actions over time in the NEAR protocol== and it is roughly as follows:
→ 7 million transfers
→ 3 million swaps
→ 424 thousand Withdrawals
→ 214 thousand Add Liquidity
→ 178 thousand Buy NFTs
→ 45 thousand Stake NEAR
→ 55 thousand Increase Collateral
→ 43 thousand Borrows
→ 33 thousand Liquid Staking
→ 106 thousand Deposit Collateral
→ 22 thousand average transferring users per day
→ 8 thousand average trading users per day

Conclusion:
In this dashboard, we tried to answer the questions briefly be fully answered and accordingly:
After bridging the most:
→ The action of Tersenfar users with about 53 percent
→ Swap action of about 35%
→ The most action was on May 9, 2022
Statistics of users' actions over time in NEAR in an approximate way:
→ 7 million transfers
→ 3 million swaps
→ 424 thousand withdrawals
→ 214 thousand Add Liquidity
→ 178 thousand Buy NFTs
→ 45 thousand Stake NEAR
→ 55 thousand Increase Collateral
→ 43 thousand Borrows
→ 33 thousand Liquid Staking
→ 106 thousand Deposit Collateral
→ 22 thousand average transferring users per day
→ 8 thousand average trading users per day
→ The most action was on February 7, 2022
→ Action transfer about 65%
→ Swap action of about 24%
Actions of big whales:
→ The most action was on May 9, 2022
→ Transfer with 61 percent
→ Swap with 37%
Small fish actions:
→ The most action was on October 4
→ Transfer with 71 percent
→ Swap with 23%