with lunapricet as (

select date_trunc (hour,block_timestamp) as date1,

median (to_amount/from_amount) as LUNA_Price

from terra.core.ez_swaps

where from_currency = 'uluna'

and to_currency = 'ibc/B3504E092456BA618CC28AC671A71FB08C6CA0FD0BE7C8A5B5A3E2DD933CC9E4'

and to_amount < 1e8 and from_amount < 1e8

and block_timestamp >= '2023-01-01'

group by 1 having LUNA_Price < 2 and LUNA_Price > 1.22 and LUNA_Price != 1.333487

order by 1),

cextable as (

select distinct address from terra.core.dim_address_labels where label_type = 'cex'

union ALL

select distinct address from crosschain.core.address_labels where label_type = 'cex' and blockchain = 'terra'),

maintable as (

select date_trunc (hour,block_timestamp) as date,

LUNA_Price,

case when block_timestamp::date = '2023-01-09' then '9 January'

else 'Other Days' end as timespan,

case when receiver = address then 'Transfer To CEXs'

when sender = address then 'Transfer From CEXs'

else null end as transfer_type1,

count (distinct tx_id) as TX_Count,

sum (amount) as Volume,

avg (amount) as Average_Volume

from terra.core.ez_transfers t1 join cextable t2 on t1.receiver = t2.address or t1.sender = t2.address

join lunapricet t3 on date_trunc(hour,t1.block_timestamp) = t3.date1

where tx_succeeded = 'TRUE'

and block_timestamp >= '2023-01-01'

and transfer_Type1 is not null

and currency = 'uluna'

group by 1,2,3,4)