Avalanche Swaps vs Transfers (Redux)

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    Mint vs Burn Analyze

    ● In this period of time, the amount of burned volume is 48% more than the minted volume

    ● The number of burn transactions was 2.8 times higher than Mint

    ● The largest volume burned happened on July 28

    ● On most days, the average volume of mint transactions was larger than burn transactions

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    Overview

    In this dashboard, we analyze the following items:

    the average amount of USDC transferred vs swapped

    number of unique swapper addresses vs transfer addresses by day for USDC

    the volume of USDC mints and burns by hour since 7/1

    number of unique wallets are minting and burning USDC by day

    the average mint vs burn for USDC by day

                                                                                              ==All analyzes are related to 2022/07/01 onwards==
    

    Method

    All data is extracted from the avalanche.core.fact_event_logs table And to separate the swap from the transfer, I used the EVENT_NAME table With these two conditions

    (where EVENT_NAME ='Swap' , where EVENT_NAME ='Transfer')

    And I used this condition to separate the mint and burned volumes ( WHEN event_inputs:to = '0x0000000000000000000000000000000000000000' THEN 'Burn' WHEN event_inputs:from = '0x0000000000000000000000000000000000000000' THEN 'Mint' )

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    chart & analysis

    Swap vs Transfer analyze

    ● The total transferred volume is 6 times more than the swap volume

    ● The average volume of transfer transactions in this period is much larger than that of swaps

    ● But in terms of the number of transactions, the number of swap transactions was 30% more than the transfer

    ● The number of swap users is also 30% more than transfer

    ● Last month, the number of transfers increased compared to swaps, while the number of swaps was higher in previous months.

    Conclusion

    ● Swap transactions are much smaller than transfers

    ● Large wallets have mostly had transfer transactions and have not been interested in swaps

    (This results can be obtained by examining the volume average of transactions and the number of transactions)

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