Afonso_DiazTop Sellers
    Updated 2025-03-27
    with

    pricet as (
    select
    hour::date as date,
    token_address,
    symbol,
    avg(price) as token_price_usd
    from ronin.price.ez_prices_hourly
    group by 1, 2, 3
    ),

    txns as (
    select
    tx_hash,
    block_timestamp,
    b.from_address as seller_address,
    b.to_address as buyer_address,
    b.contract_address as collection_id,
    b.name as collection_name,
    pricet.symbol,
    (a.decoded_log:acceptedSettlePrice / 1e18) as price,
    price * token_price_usd as price_usd,
    quantity,
    token_id,
    a.decoded_log:settleToken as token_address
    from ronin.core.ez_decoded_event_logs a
    join ronin.nft.ez_nft_transfers b using (tx_hash, block_timestamp)
    left join pricet on block_timestamp::date = date and a.decoded_log:settleToken = token_address
    where event_name = 'OrderMatched'
    and decoded_log:order[0]:extraData[0][2] = token_id
    and decoded_log::string ilike '%' || from_address || '%'
    and tx_succeeded
    ),


    Last run: 18 days ago
    SELLER_ADDRESS
    TRANSACTIONS
    VOLUME
    AVERAGE_PRICE
    VOLUME_USD
    AVERAGE_PRICE_USD
    1
    0x7b2d268eea7f99520f7e968052fac76f52c73c7e303607860.955220219154.750752347922630.087493617234.885460156
    2
    0xc0fc9bfd335cde161598070812c3d59e2686351853374863.9915243653.035970296106828.0508711924.332213426
    3
    0x584d6633bca1d8c125e53179727df43d81e5792073262206.4333316123.24397336993289.3795995424.864902983
    4
    0x4b688cc0d7f4db8c8ce2f41509897c6b18cd2ea630045419.3028081439.37834045285645.73345447317.684438046
    5
    0x3dbf47a0f55eef8bd1618459a8df8abd7dcd4298218129605.9738336199.84241151427816.6195020589.253699102
    6
    0x7f30f5530d790c0221523b9936008d4b3d0cfd2c1729194.7730070991536.5670003744130.873173448217.41437755
    7
    0x6b81ea1d1af42f9efaa40954643ee0fe2e4532bf8127381.760205916260.77866862830529.858546453290.760557585
    8
    0x69060a83016325b3e5283f130452cbee1f29a3ce23926360.3942422164.45084166854417.550208449133.050245008
    9
    0x4ee5301f7945dc3781ffe3e0cff9d3c18379e08a109925610.1840498121.27091698529390.78652992724.431243998
    10
    0x4607574786cd6307b6c166218cb23fe68bdcedc415425249.278382944163.956353136173975.898198391129.713624665
    11
    0xee04aff62fc896cd8ce13a320b483c7841e051ff21024300.6210201792.86902255323485.7734493482.772818589
    12
    0xbb6d2c997d38d068ac721978c6ac0c75d65c32d14223908.481963296498.0933742355184.418801331108.008725028
    13
    0x649e3693267fbd07239d03c18113d4f5db385add63023334.52820167110.5586100469829.8544225034.447897929
    14
    0xd29be4885e53bb300a2fdcc6b4793aeb3ef90da28423091.2003826127.6791487836738.16811492312.217548425
    15
    0xeb62eec22ccf13f60a9c3352ec507f00720b00e01521426.9560150681428.463734338155917.19441912610394.479627942
    16
    0xe9ef9234fa9d0585e5f153420386c92653e2fc6534921335.9556863270.234471357928519.2936624120.3134126078
    17
    0xc0b0fab405f64919f942810095efeeb5368341042521317852.6841017.3320833331640.693283333
    18
    0x0dc1eaef2b34e0530106d0fa6f5d26d5e666e1696621226.151717901321.6083593621471.01279323122.288072625
    19
    0xa0caa7803205026ec08818664c4211aff7565f568221030.984606928191.19076915419121.706172495173.833692477
    20
    0xa86772c7476118cce273034d6b1df3094f6670b92420942.758146171654.46119206835199.9982099051099.99994406
    100
    10KB
    36s