fanta2opsolana
    Updated 2023-03-16
    with orca_and_saros_address as (select label,address from solana.core.dim_labels where label_type='dex' and label in ('orca' ,'saros'))

    select label ,block_timestamp::date, count(distinct tx_id) ,sum(amount/1e6) , count(distinct tx_to) , avg(amount/1e6) , count(distinct tx_id)/count(distinct tx_to) as avg_users
    from solana.core.fact_transfers inner join orca_and_saros_address
    on tx_from= address and mint='EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v'
    where block_timestamp::date >= '2023-01-01'
    group by 1 , 2
    Run a query to Download Data