hess3. Weekly Transactions
Updated 2023-03-10
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with rewards as ( select date(block_timestamp) as date, tx_hash, origin_from_address as user , EVENT_INPUTS:value/pow(10,6) as amount
from optimism.core.fact_event_logs
where origin_to_address = lower('0x722e9bfc008358ac2d445a8d892cf7b62b550f3f')
and event_name = 'Transfer')
,
deposit_tx as ( select tx_hash
from optimism.core.fact_event_logs
where origin_to_address = '0x79bc8bd53244bc8a9c8c27509a2d573650a83373'
and event_name = 'Mint')
,
deposit as ( select date(block_timestamp) as date, origin_from_address as user, tx_hash, EVENT_INPUTS:value/pow(10,6) as amount
from optimism.core.fact_event_logs
where origin_to_address = '0x79bc8bd53244bc8a9c8c27509a2d573650a83373'
and EVENT_INPUTS:to = '0x79bc8bd53244bc8a9c8c27509a2d573650a83373'
and origin_from_address = EVENT_INPUTS:from
and event_name = 'Transfer'
and tx_hash in (select tx_hash from deposit_tx))
,
withdraw_tx as ( select tx_hash
from optimism.core.fact_event_logs
where origin_to_address = '0x79bc8bd53244bc8a9c8c27509a2d573650a83373'
and event_name = 'Withdraw')
,
withdraw as ( select date(block_timestamp) as date, origin_from_address as user, tx_hash, EVENT_INPUTS:value/pow(10,6) as amount
from optimism.core.fact_event_logs
where origin_to_address = '0x79bc8bd53244bc8a9c8c27509a2d573650a83373'
and EVENT_INPUTS:from = '0x79bc8bd53244bc8a9c8c27509a2d573650a83373'
and origin_from_address = EVENT_INPUTS:to
and event_name = 'Transfer'
and tx_hash in (select tx_hash from withdraw_tx))
select 'Rewards' as type, trunc(date,'week') as weekly, count(DISTINCT(tx_hash)) as total_tx, count(DISTINCT(user)) as total_user, sum(amount) as volume,
sum(total_tx) over (order by weekly asc) as cum_tx, sum(volume) over (order by weekly asc) as cum_volume,
avg(amount) as avg_amount, max(amount) as max_amount, min(amount) as min_amount, median(amount) as median_amount,
avg(avg_amount) over (order by weekly desc rows between 7 preceding and CURRENT row) as avg_7_days,
avg(avg_amount) over (order by weekly desc rows between 30 preceding and CURRENT row) as avg_30_days,
Run a query to Download Data