hessUsers Breakdown Based on Volume
Updated 2023-03-05
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with tb1 as ( select 'Stake' as type, origin_from_address, Count(DISTINCT(tx_hash)) as total_tx, count(DISTINCT(origin_from_address)) as total_user,
sum(raw_amount/pow(10,6)) as volume, avg(raw_amount/pow(10,6)) as avg_volume,median(raw_amount/pow(10,6)) as median_volume,
min(raw_amount/pow(10,6)) as min, max(raw_amount/pow(10,6)) as max
from arbitrum.core.fact_token_transfers
where origin_from_address = from_address
and origin_to_address = lower('0x5957582f020301a2f732ad17a69ab2d8b2741241')
and contract_address = lower('0xFF970A61A04b1cA14834A43f5dE4533eBDDB5CC8')
and tx_hash in (select tx_hash from arbitrum.core.fact_token_transfers
where contract_address = lower('0x4e0D4a5A5b4FAf5C2eCc1C63C8d19BB0804A96F1'))
and raw_amount/pow(10,6) > 0
group by 1,2)
select count(DISTINCT(origin_from_address)) as total_user,
case when volume <= 1 then 'a. Below 1$'
when volume <= 10 then 'b. 1-10$'
when volume <= 100 then 'c. 10-100$'
when volume <= 1000 then 'd. 100-1K$'
when volume <= 10000 then 'e. 1K-10K$'
when volume <= 100000 then 'f. 10-100K$'
when volume > 100000 then 'g. +100K$' end as category
from tb1
group by 2
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