mlhUntitled Query
    Updated 2022-11-22
    with price as (select block_timestamp::date as day,
    swap_from_mint as token,
    median (swap_to_amount/swap_from_amount) as USDPrice
    from solana.fact_swaps
    where swap_to_mint in ('EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v',--USDC
    'Es9vMFrzaCERmJfrF4H2FYD4KCoNkY11McCe8BenwNYB') --USDT
    and swap_to_amount > 0
    and swap_from_amount > 0
    and block_timestamp >= CURRENT_DATE - 24
    and succeeded = 'TRUE'
    group by 1,2
    ),

    users as (select d.USDPrice,
    t.*
    from (select b.value:parsed:info:amount/1e8 as token_amount,
    b.value:parsed:info:mint as token_address,
    a.instruction:accounts[0] as from_address,
    c.address_name as token,
    a.*
    from solana.core.fact_events a, lateral flatten(input => inner_instruction:instructions) b
    join solana.core.dim_labels c on b.value:parsed:info:mint = c.address
    where program_id = 'wormDTUJ6AWPNvk59vGQbDvGJmqbDTdgWgAqcLBCgUb'
    and block_timestamp >= CURRENT_DATE - 24
    and b.value:parsed:type = 'burn'
    ) t join price d on t.token_address = d.token
    and t.block_timestamp::date = d.day
    )

    select a.block_timestamp::date as date,
    case when date >= '2022-11-08' then 'After FTX crisis'
    else 'Before FTX crisis' end as period,
    b.token as Token_Symbol,
    count (distinct a.tx_id) as bridges,
    count (distinct a.swapper) as bridgers,
    sum (coalesce(swap_to_amount,0) * b.USDPrice) as USD_Volume,
    Run a query to Download Data