MLDZMNaal6
    Updated 2022-11-08
    with tb1 as(SELECT
    *
    from solana.core.dim_labels
    where label ilike '%alameda%'
    or label ilike 'ftx%'
    ),

    tb2 as (select
    mint
    from solana.core.fact_transfers
    where mint in ('EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v',
    'Es9vMFrzaCERmJfrF4H2FYD4KCoNkY11McCe8BenwNYB',
    '6nuaX3ogrr2CaoAPjtaKHAoBNWok32BMcRozuf32s2QF',
    'FYpdBuyAHSbdaAyD1sKkxyLWbAP8uUW9h6uvdhK74ij1')
    )

    select
    'Inflow to Alameda or FTX' as actions,
    b.label as token,
    count(distinct TX_ID) as no_transfer,
    count(distinct TX_FROM) as no_sender,
    sum(AMOUNT) as total_volume,
    avg(AMOUNT) as avg_volume
    from solana.core.fact_transfers s left join solana.core.dim_labels b on s.mint=b.address
    where MINT in (select mint from tb2)
    and TX_TO in (select ADDRESS from tb1)
    and TX_FROM not in (select ADDRESS from tb1)
    and BLOCK_TIMESTAMP>='2022-10-01'
    group by 1,2
    union all
    select
    'Outflow from Alameda or FTX' as actions,
    b.label as token,
    count(distinct TX_ID) as no_transfer,
    count(distinct TX_TO) as no_sender,
    sum(AMOUNT) as total_volume,
    Run a query to Download Data