adriaparcerisasavalanche euro 4
    Updated 2025-03-25
    WITH
    t1 AS (
    SELECT
    trunc(block_timestamp, 'week') AS date,
    COUNT(DISTINCT tx_hash) AS txs,
    SUM(txs) OVER (ORDER BY trunc(block_timestamp, 'week')) AS cum_txs,
    SUM(amount) AS volume,
    AVG(amount) AS avg_volume,
    AVG(SUM(amount)) OVER (ORDER BY trunc(block_timestamp, 'week') ROWS BETWEEN 6 PRECEDING AND CURRENT ROW) AS avg_volume_ma_7hour,
    SUM(SUM(amount)) OVER (ORDER BY trunc(block_timestamp, 'week')) AS cum_volume
    FROM avalanche.core.ez_token_transfers
    WHERE
    contract_address = LOWER('0xC891EB4cbdEFf6e073e859e987815Ed1505c2ACD')
    AND from_address = '0x0000000000000000000000000000000000000000'
    AND block_timestamp >= '2023-05-25'
    GROUP BY 1
    ),
    t2 AS (
    SELECT
    trunc(block_timestamp, 'week') AS date,
    COUNT(DISTINCT tx_hash) AS txs,
    SUM(txs) OVER (ORDER BY trunc(block_timestamp, 'week')) AS cum_txs,
    SUM(amount) AS volume,
    AVG(amount) AS avg_volume,
    AVG(SUM(amount)) OVER (ORDER BY trunc(block_timestamp, 'week') ROWS BETWEEN 6 PRECEDING AND CURRENT ROW) AS avg_volume_ma_7hour,
    SUM(SUM(amount)) OVER (ORDER BY trunc(block_timestamp, 'week')) AS cum_volume
    FROM avalanche.core.ez_token_transfers
    WHERE
    contract_address = LOWER('0xC891EB4cbdEFf6e073e859e987815Ed1505c2ACD')
    AND to_address = '0x0000000000000000000000000000000000000000'
    AND block_timestamp >= '2023-05-25'
    GROUP BY 1
    ),
    combined AS (
    SELECT
    COALESCE(x.date, y.date) AS date,
    Last run: 16 days ago
    DATE
    SUPPLY
    1
    2023-05-22 00:00:00.0001559957.37
    2
    2023-05-29 00:00:00.0001618236.02
    3
    2023-06-26 00:00:00.0001580088.4
    4
    2023-07-03 00:00:00.0001883779.09
    5
    2023-07-10 00:00:00.0001819654.19
    6
    2023-07-17 00:00:00.0001819654.19
    7
    2023-07-24 00:00:00.0002900540
    8
    2023-07-31 00:00:00.0002330008.03
    9
    2023-08-07 00:00:00.0002295961.08
    10
    2023-08-14 00:00:00.0002659073.95
    11
    2023-08-21 00:00:00.0002659073.95
    12
    2023-08-28 00:00:00.0002759039.26
    13
    2023-09-04 00:00:00.0002759039.26
    14
    2023-09-11 00:00:00.0003046162.83
    15
    2023-09-18 00:00:00.0003046162.83
    16
    2023-09-25 00:00:00.0003071843.64
    17
    2023-10-02 00:00:00.0003241887.3
    18
    2023-10-16 00:00:00.0003241887.3
    19
    2023-10-23 00:00:00.0002900540
    20
    2023-10-30 00:00:00.0002900540
    88
    3KB
    6s