Swaps

• In this section we study the swaps for a little bit.
• As you can see the first row of graphs bellow are pretty much self explanatory, they show the daily amount of swaps and their volume from Jun 1st till Nov 14th. The peek of activity in these graphs happens between Jul 28th and Aug 5th where we have the most count swaps and volume amount.
• The same swap count graph is shown in the second row on the left but with addition of Unique swappers in the same time span. the interesting piece of info we can get from this is that despite the high activity in the mentioned time span in the last line, amount of unique users are very limited.
• The percentage of unique swappers per day tells us that the highest amount which is 63% was only reached at the first of the studied timeline. after that the unique swappers only get a raise from Oct 1st till Oct16th.

• The percentage wheels at the bottom of this text box gives us a brief explanation of transaction swap volumes, user swap count and user swap volume.
• At first we can see that the majority of the transactions volume which almost contain 50 percent of the whole wheel belongs to transactions between 10-100.
• The user swap count is also 76.4% of 0-10 in the first place of swap counts.
• Similar to the first wheel, the third one distributes the users by their total volume, and in the first spot we have the 100-1k users with 41.4% of whole volume.
• If you want to study the first ten swappers based on the volume of swaps or their amount you can take a look at the column forms bellow and click on a single swapper in the legend to check them individually.

• The two graphs bellow might seem a little bit confusing at first for new readers but with the help of the legends on the right side of the graphs you can click on each pool and study them one by one or in comparison of a few number of them.
• The volume of each pool is determined by the black line trend above the column forms that you can see and the columns themselves represent each pool with their amount of liquidity.
• The relationship between liquidity and volume of each pool is better understandable in the right side graph, as you can see each pool is shown on their specific spot with their amount of liquidity and volume considered. The volume is the Vertical line and the liquidity is the Horizontal line.
• The standard deviation, AVG of swap volume and Variance of swap volume are shown in the three boxes bellow be warned that these amounts are not stable and their updated on Nov 15th and they will change day by day.

• As you can see in the two graphs bellow the top ten popular swap pairs are shown in percentage wheel and column form, be mindful that the pairs are compared to each other at the same time and each pair are connected with their partner.
• Same as the info in the last section we have the top ten velodrome pools ranked based on their liquidity and in the first spot we have 11.6M and in the final spot we have 1M of liquidity the difference between the first and last spots are major as you can see.

Summery of top 4 pools

• The same type of information from last section are shown here for USDC/DAI pool.
• The distribution wheels in the second row work same as before and give us an overall info about users count who provide liquidity and total liquidity provided by users.
• Also the top ten wallets who deposit or withdraw liquidity from the pool are shown in column form in the third row.

WETH/USDC

OP/USDC

• Now we have the WETH/USDC pool here and we can study the users that provide liquidity to this pool in this section
• As you can see in distribution of user count we have 53.8% of whole wheel belong to 0-10.
• In the distribution of total liquidity we have 2.148M in the first spot that concludes 56% of total liquidity.

USDC/DAI

• In this part we take a look at USDC and sUSD pools with the users who provided liquidity to them, In the 3rd box of the first row we can see the total difference between liquidity volume in the mentioned pools which is 3.06B.
• In the two percentage wheels bello first we see the distribution of users who provided liquidity for the pools mentioned in the title of this section, At the first spot we have 0-10 which concludes 78% of the total wheel and in the last spot we have 1M-10M which practically is invisible but by turning off the other individuals in the legend you can see that this part of the wheel which is the smallest has only 4 participants.
• The distribution of total liquidity that is provided by users in the next wheel tells us that we have 52.5% of whole wheel in the first spot with 6.8M worth of liquidity.

Conclusion

• How healthy is this project?"
• In this article we have reviewed a total amount of swaps and the the summary of the top 4 pools that undergo the velodrome.
• In the first part we studied the total amount of swaps and their volume and their top users in total and then we compared 4 top pools summary.
• In my opinion Velodrome in not just a tool for exchange and transactions but it can also keep tabs and data on the pools and their transactions in a very precise manner, this can help users a lot in reviewing different pools while they want to choose which pool they should provide liquidity to.
• My opinion of this project or so called baby of its developers (the velodrome team) will bring us a very bright future in the exchange of crypto currency and study of pools data so it is safe to say that the baby is actually pretty healthy. :D

Appendix

• Author: Hojjat
• Discord: hojjat7878#8809
• Twitter: @hojjat8d
• Email: hojjat78delshad@gmail.com

The codes of this dashboard are copied from the following dashboard:

Thank you dear ==elsina==

Twitte link :

THANK YOU FOR READING!

• Finally we have OP/USDC pool here and we can study the distribution of its user count who provide liquidity or the total liquidity that is provided by the users of this pool.
• The top ten wallet that deposit or withdraw liquidity to this pool are also shown in the final graphs.

USDC/sUSD

What Is Velodrome Finance? An Optimistic DEX

Velodrome is a new Decentralized ExchangeA cryptocurrency exchange is a type of digital currency exch... protocol conceived on Fantom BlockchainBlockchains are made up of a series of individual blocks. Ea... but implemented on Optimism. Who is behind this project? How did the idea emerge? What makes Velodrome unique? What is its plan? All you need to know about this new DEX will be covered in this article. Or, if you’d rather watch a video explaining Velodrome, check out mine below!

The Velodrome team refers to their product as their “baby,” and while making my two YouTube videos on the protocol, I realized they really do feel that way. Velodrome was developed and delivered without VC funding and has a TVL of 60M USD with a volume of 290M in just 45 days. Their baby is looking nice and healthy!

Velodrome Finance uses AMM technology, which my friend Charles explains well in this article.

Velodrome Finance is designed to solve one of the main problems for any DEX; incentivizing liquidity reduces the value of the DEX’s token. They address this problem by aligning protocol growth with fee generation, not just liquidity. In other words, take Curve Finance‘s sophisticated AMM and Solidly’s incentive structure, combine, shake well, and serve. Enjoy Velodrome!

Application

Create at least 5 metrics on Velodrome with a description for each that showcase traction and success in a data-driven manner.

Most importantly, your insights should help our readers answer the question "How healthy is this project?"

Method

• To obtain daily charts, the columns block_timestamp, tx_hash, origin_from_address and amount_in_usd are used in the optimism.velodrome.ez_swaps table.

  \

• In order to obtain information about inputs and outputs, filtering 'deposit' and 'withdraw' in the

  lp_action column from the optimism.velodrome.ez_lp_actions table is used.

  \

• Several categories have been used to divide users and trades as follows :

amount_in_usd > 0 and amount_in_usd < 10 then '(0, 10)' amount_in_usd >= 10 and amount_in_usd < 100 then '[10, 100)' amount_in_usd >= 100 and amount_in_usd < 1000 then '[100, 1K)' amount_in_usd >= 1000 and amount_in_usd < 10000 then '[1K, 10K)' amount_in_usd >= 10000 and amount_in_usd < 100000 then '[10K, 100K)' amount_in_usd >= 100000 and amount_in_usd < 1000000 then '[100K, 1M)' amount_in_usd >= 1000000 and amount_in_usd < 10000000 then '[1M, 10M)'