0xHaM-dLiquidate Events Over Time
    Updated 2025-04-15
    with LiquidateTb as (
    SELECT
    BLOCK_TIMESTAMP,
    TX_HASH,
    EVENT_TYPE,
    split((split((split(EVENT_TYPE, '<')[1]), '>')[0]),', ')[0] as token_address1,
    split((split((split(EVENT_TYPE, '<')[1]), '>')[0]),', ')[1] as token_address2,
    split(EVENT_RESOURCE, '<')[1] as asset,
    EVENT_DATA:liquidatee as liquidatee,
    EVENT_DATA:liquidatee_profile_name as liquidatee_profile_name,
    EVENT_DATA:liquidation_fee_amount as liquidation_fee_amount,
    EVENT_DATA:liquidator as liquidator,
    EVENT_DATA:redeem_lp::Boolean as redeem_lp,
    c.symbol as symbol_1,
    c.DECIMALS as DECIMALS_1,
    d.symbol as symbol_2,
    d.DECIMALS as DECIMALS_2,
    EVENT_DATA:redeem_lp_amount/pow(10,d.DECIMALS) as redeem_lp_amount,
    EVENT_DATA:repay_amount/pow(10,c.DECIMALS) as repay_amount,
    EVENT_DATA:repay_amount_in/pow(10,c.DECIMALS) as repay_amount_in,
    EVENT_DATA:withdraw_lp_amount/pow(10,d.DECIMALS) as withdraw_lp_amount
    FROM aptos.core.fact_events a
    JOIN aptos.core.dim_tokens c on split((split((split(EVENT_TYPE, '<')[1]), '>')[0]),', ')[0] = c.token_address
    JOIN aptos.core.dim_tokens d on split((split((split(EVENT_TYPE, '<')[1]), '>')[0]),', ')[1] = d.token_address
    -- JOIN aptos.core.fact_transactions b using(BLOCK_TIMESTAMP,TX_HASH)
    WHERE EVENT_ADDRESS = '0x9770fa9c725cbd97eb50b2be5f7416efdfd1f1554beb0750d4dae4c64e860da3'
    -- AND TX_HASH = '0xf3d455db96f34987f9dec2e4f6265155ddddc14260a216d777153b0b881ca199'
    AND EVENT_MODULE = 'controller'
    AND EVENT_RESOURCE ilike 'LiquidateEven%'
    AND SUCCESS = 'true'
    AND TX_TYPE = 'user_transaction'
    GROUP by all
    )
    , agg as (
    SELECT
    BLOCK_TIMESTAMP,
    Last run: 13 days ago
    DATE
    N_LIQUIDATS
    N_LIQUIDATORS
    N_LIQUIDATEES
    CUM_N_LIQUIDATS
    1
    2025-04-15 00:00:00.00033314204
    2
    2025-04-14 00:00:00.00033314201
    3
    2025-04-13 00:00:00.00064614198
    4
    2025-04-12 00:00:00.00032314192
    5
    2025-04-11 00:00:00.00033314189
    6
    2025-04-10 00:00:00.00011114186
    7
    2025-04-09 00:00:00.0002652614185
    8
    2025-04-08 00:00:00.00091914159
    9
    2025-04-07 00:00:00.0006851566214150
    10
    2025-04-06 00:00:00.0008091678413465
    11
    2025-04-05 00:00:00.00011112656
    12
    2025-04-04 00:00:00.000250824612655
    13
    2025-04-03 00:00:00.0008088012405
    14
    2025-04-02 00:00:00.0002162112325
    15
    2025-04-01 00:00:00.00053512304
    16
    2025-03-31 00:00:00.00051512299
    17
    2025-03-29 00:00:00.00011112294
    18
    2025-03-28 00:00:00.00043412293
    19
    2025-03-26 00:00:00.00022212289
    20
    2025-03-25 00:00:00.00033312287
    ...
    322
    13KB
    57s