Across-2.Single-Sided Liquidity Pools

    -- Q2. Across uses single-sided liquidity pools to execute transactions between chains. -- How are Ethereum mainnet users interacting with these pools? How do these pool rewards compare to other liquidity pools?

    Methodology

    • Find all transaction to origin_to_address = '0xc186fa914353c44b2e33ebe05f21846f1048beda'
      • In case of multiple transactions we take the transaction with the first event_index
    • Decode the Amount Added via helper functions
    regexp_substr_all(SUBSTR(DATA, 3, len(DATA)), '.{64}') AS segmented_data,
            ethereum.public.udf_hex_to_int(segmented_data[0]) as parsed_data,
    

    User Interaction - Number of Users Adding Liquidity

    • The highest number of users adding liquidity were on May23, 24 ~250 unique users
    • Most of this added liquidity came from ETH.
    • The next most popular token in FiatTokenProxy, i.e USDC.
    Loading...
    Loading...
    Loading...

    User Interaction - Transaction Volume Adding Liquidity

    • The highest amount of Transaction Volume liquidity was added on May23.
    • Most of this added liquidity transactions came from ETH and USDC, with 16M and 19M respectively.

    User Interaction - Transaction Frequency Adding Liquidity

    • The highest number of transaction adding liquidity were on May23, 24 ~250 transactions.
    • Most of this added liquidity transactions came from ETH.
    • The next most popular token in FiatTokenProxy, i.e USDC.

    How do these pool rewards compare to other liquidity pools?

    • Given below are the Pool Rewards for the liquidity pools.
    • The highest APY is provided by ETH and WETH Pool.
    • Other pools provide comparable APY as well ~2%.
    • Comparing this to other liquidity pools as per data from coindix, most of the other platforms expect Lido are providing less APY for single sided pools ETH, Lido has 3.90% for ETH.
    db_img
    db_img
    db_img
    db_img
    db_img
    db_img