Updated 2022-09-05
    -- SELECT *
    -- FROM ethereum.core.ez_eth_transfers
    -- WHERE ETH_TO_ADDRESS='0x49d72e3973900a195a155a46441f0c08179fdb64' --AND ETH_FROM_ADDRESS != '0x3bdc69c4e5e13e52a65f5583c23efb9636b469d6'-- AND ORIGIN_FUNCTION_SIGNATURE = '0xd0e30db0' -- LIMIT 200 --AND ORIGIN_FUNCTION_SIGNATURE = '0x22895118'
    -- ORIGIN_FUNCTION_SIGNATURE = '0x3876de3a'
    -- AND IDENTIFIER = 'CALL_ORIGIN'
    SELECT *

    FROM ethereum.core.ez_eth_transfers
    WHERE ETH_TO_ADDRESS = '0x00000000219ab540356cbb839cbe05303d7705fa' AND ORIGIN_FUNCTION_SIGNATURE != '0x22895118' ORDER by BLOCK_TIMESTAMP DESC
    LIMIT 250


    -- SELECT * FROM ethereum.core.ez_eth_transfers WHERE TX_HASH = '0xbb1c251ee79eb10b8f268c258a38f2e9e4e6949ed9862b9bc6196be07da877d8'
    -- SELECT SUM(AMOUNT_USD) FROM ethereum.core.ez_token_transfers
    -- where from_address = '0x0000000000000000000000000000000000000000'
    -- and contract_address = '0xae7ab96520de3a18e5e111b5eaab095312d7fe84'

    -- select
    -- 'Lido' as "Protocol",
    -- count(*) as "Total Number of Stakes",
    -- count(distinct event_inputs:to) as "Total Number of Unique Staker",
    -- sum(event_inputs:value/1e18) as "Total Amount of ETH Staked",
    -- ("Total Amount of ETH Staked"/"Total Number of Stakes") as "Average Deposit Size",
    -- ("Total Amount of ETH Staked"/"Total Number of Unique Staker") as "Average Amount of ETH Staked per Staker",
    -- ("Total Number of Stakes"/"Total Number of Unique Staker") as "Average Number of Stake per Staker"
    -- from ethereum_core.fact_event_logs
    -- where contract_address = '0xae7ab96520de3a18e5e111b5eaab095312d7fe84'
    -- and event_inputs:from = '0x0000000000000000000000000000000000000000'
    -- and event_name = 'Transfer'
    -- group by 1
    -- SELECT block_timestamp::date as days, sum(event_inputs:value/1e18) as "Total Amount of ETH Staked"
    -- from ethereum_core.fact_event_logs
    -- where contract_address = '0xae7ab96520de3a18e5e111b5eaab095312d7fe84'
    -- and event_inputs:from = '0x0000000000000000000000000000000000000000'
    -- and event_name = 'Transfer'
    -- GROUP by days
    Run a query to Download Data