SajjadiiiARPPU = volume/daily paid wallets
    Updated 2025-04-09


    with trace_data AS (
    SELECT
    BLOCK_TIMESTAMP,
    TX_HASH,
    FROM_ADDRESS,
    TO_ADDRESS,
    TRACE_INDEX,
    VALUE_PRECISE
    FROM kaia.core.fact_traces
    WHERE block_timestamp::date >= '2025-01-01'
    AND tx_hash in (SELECT tx_hash FROM kaia.core.fact_event_logs WHERE topics[0] = '0x960a6bb8032c55b0217dc5d5e962cd62168b247a4dfc80213fb185caeb120143')
    -- tx_hash in ( '0x97f54fe7cdad1fe44d7de3bd96f5b693aba84a9eed938b68dfa79347d368bee9' , '0xe82611c41c82c3c10f185acfd8926f388cba1453ae3239b9bc7bbe8d9dc7547a' , '0x46c1d2c7cfccd0e192761a73a402ddc920a4c08122f80ea5fe3ea3947c818884')
    ),
    fees AS (
    SELECT
    TX_HASH,
    SUM(CASE WHEN To_address = '0x4d129c57945e769dde797ae7058da8d6c89fd9db' THEN VALUE_PRECISE ELSE 0 END) AS FIRST_FEE,
    SUM(CASE WHEN TO_ADDRESS = '0xfb1bffc9d739b8d520daf37df666da4c687191ea' THEN VALUE_PRECISE ELSE 0 END) AS SECOND_FEE
    FROM trace_data
    GROUP BY TX_HASH
    ),
    program_address AS (
    SELECT TX_HASH, TO_ADDRESS AS PROGRAM_ADDRESS, VALUE_PRECISE AS RETURNED_TO_PROGRAM
    FROM trace_data
    WHERE TRACE_INDEX = 4
    ),
    user_spent AS (
    SELECT TX_HASH,from_address AS User_address, VALUE_PRECISE AS USER_SPENT
    FROM trace_data
    WHERE TRACE_INDEX = 0

    ),
    aggregated_data AS (
    SELECT
    Last run: about 2 months ago
    DATE
    ARPPU
    OVERALL_ARPPU
    1
    2025-03-12 00:00:00.0001368.972972973661.325
    2
    2025-02-21 00:00:00.000590.293333333661.325
    3
    2025-03-29 00:00:00.0002168661.325
    4
    2025-03-19 00:00:00.00039661.325
    5
    2025-02-26 00:00:00.000677.788235294661.325
    6
    2025-02-04 00:00:00.0001661.325
    7
    2025-02-18 00:00:00.0002712.027777778661.325
    8
    2025-02-19 00:00:00.0001479.392661.325
    9
    2025-03-10 00:00:00.000775.556818182661.325
    10
    2025-03-28 00:00:00.00014661.325
    11
    2025-02-11 00:00:00.00044.666666667661.325
    12
    2025-03-09 00:00:00.0001421.935483871661.325
    13
    2025-02-20 00:00:00.000413.13253012661.325
    14
    2025-03-17 00:00:00.000389.018867925661.325
    15
    2025-03-01 00:00:00.0001501.142857143661.325
    16
    2025-03-11 00:00:00.000660.762942779661.325
    17
    2025-02-28 00:00:00.000198.909090909661.325
    18
    2025-03-21 00:00:00.0001846.411764706661.325
    19
    2025-03-14 00:00:00.00098661.325
    20
    2025-03-15 00:00:00.00024.571428571661.325
    67
    3KB
    70s