BlockTrackercomparison n_sales this month to previous month
    Updated 2023-09-20
    with
    nft as (
    SELECT
    date_trunc('day', block_timestamp) as date,
    nft_collection,
    tx_id,
    nft_id,
    buyer
    FROM flow.nft.ez_nft_sales
    WHERE nft_collection IN ('A.0b2a3299cc857e29.TopShot', 'A.e4cf4bdc1751c65d.AllDay'
    ,'A.329feb3ab062d289.UFC_NFT', 'A.8b148183c28ff88f.Gaia')
    AND (date BETWEEN '2023-08-14' AND '2023-09-12'
    OR date BETWEEN '2023-07-14' AND '2023-08-12')
    ),
    periods as (
    SELECT
    CASE WHEN date BETWEEN '2023-08-14' AND '2023-09-12' THEN 'GALXE campaign'
    WHEN date BETWEEN '2023-07-14' AND '2023-08-12' THEN 'common'
    END AS periods,
    CASE WHEN nft_collection = 'A.0b2a3299cc857e29.TopShot' THEN 'NBA TOP SHOT'
    WHEN nft_collection = 'A.e4cf4bdc1751c65d.AllDay' THEN 'NFL ALL DAY'
    WHEN nft_collection = 'A.329feb3ab062d289.UFC_NFT' THEN 'UFC Strike'
    WHEN nft_collection = 'A.8b148183c28ff88f.Gaia' THEN 'Ballerz'
    end as title,
    count(DISTINCT tx_id) as num_sales
    -- count(DISTINCT nft_id) as num_nft_sold,
    -- count(DISTINCT buyer) as unique_buyers
    FROM nft
    GROUP BY 1, 2
    ),
    pivot as (
    SELECT *
    FROM periods
    PIVOT(SUM(num_sales) FOR periods IN ('GALXE campaign', 'common'))
    AS p (title, p1, p2)
    ORDER BY title
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