Squid Launch Analysis


Introduction
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what is Axelar ?
Axelar is the universal overlay network, securely connecting all blockchain ecosystems, applications, assets and users to deliver Web3 interoperability. It is a full-stack decentralized transport layer, meeting growing demand for cross-chain services with maximum blockchain security and composability.
Axelar has three components:
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A decentralized network.
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A set of gateway smart contracts that provide the connectivity between the Axelar Network and its interconnected external chains.
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A software development kit (SDK) of protocols and APIs.
In short, Axelar is blockchain infrastructure that enables users who own assets on one blockchain to use these assets in any application on any other blockchains, securely. It allows developers to build on the best platform for their use case, providing connections to users, assets and data on every other ecosystem, without excessive gas fees, additional development costs or rolling out their own cross-chain infrastructure. Like the overlay networks that provide core internet infrastructure, Axelar provides an ecosystem with services that are otherwise unavailable, expensive or inefficient. It sits on top of other networks, and by virtue of having global “visibility” into other networks, it can provide better quality of service.[source]
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what is Squid ?
Squid is the cross-chain swap and liquidity routing protocol on . Squid utilises existing DEXs to swap and send any native token between chains. This can be done via our SDK, Front End or Contracts directly. Swaps are composable with Axelar's generalised message passing, so Squid can enable one-click transactions between any application and any user, using any asset. Buy NFTs from any marketplace, use multi-chain DeFi, play a game on another chain, all without signing multiple transactions or downloading multiple wallets.
Supported chains: EVM chains: Ethereum, Arbitrum, Avalanche, Polygon, Moonbeam, Binance Chain, Fantom and Celo Cosmos chains: Cosmos Hub, Crescent, Injective, Juno, Kujira, Osmosis, Secret Network, Terra-2, Agoric, AssetMantle, Axelar, Comdex, Evmos, Fetch, Ki, Regen and Umee. We will continue to expand our support to Axelar-supported chains in Q1 2023.
Supported tokens: EVM: Any token with over $200,000 of liquidity. Extra tokens can be added by request. Cosmos: The widget initially supports deposits into the Cosmos via axlUSDC only. More asset coverage will be supported in early 2023. [source]
Methodology
in this dashboard the following methods are used:
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analyze transactions and unique users on each chain
in this section I want to analyze overtime the number of unique users and number of transfers of each chains. after that I will analyze total value of parameters to give you a good vision about data and compare chains.
tables:
it used
ethereum.core.ez_token_transfers
to finding transferring data on Ethereum chainit used
avalanche.core.fact_token_transfers
to finding transferring data on Avalanche chainit used
arbitrum.core.fact_token_transfers
to finding transferring data on Arbitrum chainit used
polygon.core.fact_token_transfers
to finding transferring data on Polygon chainit used
bsc.core.fact_token_transfers
to finding transferring data on BSC chain -
analyze USDC transfer on each chain
in this section I want to analyze the total and average USDC transfer volume in each chain. at the first I show you the daily trend of that after that show you the total and average USDC transfer volume of each chain.
tables:
it used
ethereum.core.ez_token_transfers
to finding transferring data on Ethereum chainit used
avalanche.core.fact_token_transfers
to finding transferring data on Avalanche chainit used
arbitrum.core.fact_token_transfers
to finding transferring data on Arbitrum chainit used
polygon.core.fact_token_transfers
to finding transferring data on Polygon chainit used
bsc.core.fact_token_transfers
to finding transferring data on BSC chain -
analyze unique tokens swapped on each chain
in this section I want to find the unique tokens that swapped on each chain by squid project.
tables:
it used
ethereum.core.ez_dex_swaps
to find the swap data on Ethereum chain.it used
avalanche.core.fact_event_logs
to find the swap data on Avalanche chain and usedavalanche.core.dim_contracts
to find the name of tokens.it used
arbitrum.core.fact_event_logs
to find the swap data on Arbitrum chain and usedarbitrum.core.dim_contracts
to find the name of tokens.it used
polygon.core.fact_event_logs
to find the swap data on Polygon chain and usedpolygon.core.dim_contracts
to find the name of tokens.it used
bsc.core.fact_event_logs
to find the swap data on BSC chain and usedbsc.core.dim_labels
to find the name of tokens.
observations 1
- by checking the daily number of transfers chart can see that for each chain, in Feb the number of transfers increased compared to Jan, so we can say in Feb the users do more transfers than Jan. another interesting result could mentioned that almost for all time the number pf transfers on Polygon chain is more than other chains.
- by attention to the daily number of unique users chart can see that for each chain, in Feb the number of unique users increased compared to Jan, like number of transfers, almost the number of unique users of Polygon chain is more than other chain all time.
- Polygon chain has most number of transfers compare to other chains that is 2154 or 36.7% of total transfers on these chains. at the second sage the number of transfers of Avalanche chain is more than others that is 2066 or 35.2% of total number of transfers on these chains.
- the total number of unique users of Polygon chain is more than others that is 436 or 36.8% of total number of unique users of these chains. at the second stage the number of unique users of Avalanche chain is more than others that is 287 or 24.2% of total number of unique users of these chains.
observations 2
- by attention to daily average volume of USDC transfer for each chain can see that the volume increased at the Feb, we sew at the past section the number of transfers and the number of unique users increased in Feb also, se the squid project attracts more advocate in Feb. as an interesting result could mentioned that the average volume of transfers on Ethereum chain is more than others for most days.
- by checking the top charts can see, the average volume of USDC transfers for Ethereum chain is more than other chains. the average volume of USDC transfers for Ethereum chain is 920.6 . at the second stage the average volume of USDC transfers on BSC chain is more than other that is 294.
- the total volume of USDC transfers of Ethereum chain is ore than other that is 1.076M or 40.1% of total volume that transfers by these chains. at the second stage the total volume of USDC transfers of Avalanche chain is more than others that is 867.65k or 32.3% of total volume that transfers by these chains.
Conclusion
- by attention to charts of first part can conclude that the number of transfer and number of unique users at Feb increased compared to Jan. from this part we saw that the number of unique users and number of transfers that done by squid project on polygon chain is more than others.
- from second part can conclude that the average volume and total volume of USDC that transferred on Ethereum chain is more than other chain.
- from the last part can see the number of tokens that swapped on Ethereum chain is more than others that is 12 unique tokens.
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