MLDZMNChamp2
    Updated 2022-10-10
    select
    BLOCK_TIMESTAMP::date as day,
    case
    when LABEL ilike '%collectorz club%' then 'Collectorz Club'
    when LABEL ilike '%Suites%' then 'Suites'
    when LABEL ilike '%laidback lions%' then 'Laidback Lions'
    else null end as Sport_NFTs,
    count(TX_ID) as sale_no,
    count(distinct PURCHASER) as buyer_no,
    sum(SALES_AMOUNT) as volume,
    avg(SALES_AMOUNT) as average_volume,
    sale_no/buyer_no as average_buyer,
    avg(average_volume) OVER (ORDER BY day ROWS BETWEEN 7 PRECEDING AND CURRENT ROW) as MA_7_Days,
    sum(buyer_no) over (partition by Sport_NFTs order by day) as cum_buyers,
    sum(sale_no) over (partition by Sport_NFTs order by day) as cum_sale,
    sum(volume) over (partition by Sport_NFTs order by day) as cum_volume
    from solana.core.fact_nft_sales s left outer join solana.core.dim_labels b on s.mint=b.address
    where SUCCEEDED='TRUE'
    group by 1,2 having Sport_NFTs is not null
    Run a query to Download Data