mondovtransfer stats
Updated 2023-06-21
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with avalanche_transfers as (
SELECT DATEDIFF(week, min(block_timestamp), max(block_timestamp)) as num_weeks, DATEDIFF(second, min(block_timestamp), max(block_timestamp)) as num_seconds, avg(amount_usd) as average_amount, sum(amount_usd) as volume, count(DISTINCT tx_hash) as total_transfers, count(DISTINCT from_address) as users,
total_transfers/num_weeks as average_per_week,
volume/users as average_volume_per_user,
total_transfers/users as average_transfers_per_user,
total_transfers/num_seconds as average_transfers_per_second,
'Avalanche' as chain
FROM avalanche.core.ez_token_transfers
WHERE lower(symbol) = 'usdc'
),
polygon_transfers as (
SELECT DATEDIFF(week, min(block_timestamp), max(block_timestamp)) as num_weeks, DATEDIFF(second, min(block_timestamp), max(block_timestamp)) as num_seconds, avg(amount_usd) as average_amount, sum(amount_usd) as volume, count(tx_hash) as total_transfers, count(DISTINCT from_address) as users,
total_transfers/num_weeks as average_per_week,
volume/users as average_volume_per_user,
total_transfers/users as average_transfers_per_user,
total_transfers/num_seconds as average_transfers_per_second,
'Polygon' as chain
FROM polygon.core.ez_token_transfers
WHERE lower(symbol) = 'usdc'
),
optimism_transfers as (
SELECT DATEDIFF(week, min(block_timestamp), max(block_timestamp)) as num_weeks, DATEDIFF(second, min(block_timestamp), max(block_timestamp)) as num_seconds, avg(amount_usd) as average_amount, sum(amount_usd) as volume, count(tx_hash) as total_transfers, count(DISTINCT from_address) as users,
total_transfers/num_weeks as average_per_week,
volume/users as average_volume_per_user,
total_transfers/users as average_transfers_per_user,
total_transfers/num_seconds as average_transfers_per_second,
'Optimism' as chain
FROM optimism.core.ez_token_transfers
WHERE lower(symbol) = 'usdc'
),
arbitrum_transfers as (
SELECT DATEDIFF(week, min(block_timestamp), max(block_timestamp)) as num_weeks, DATEDIFF(second, min(block_timestamp), max(block_timestamp)) as num_seconds, avg(amount_usd) as average_amount, sum(amount_usd) as volume, count(tx_hash) as total_transfers, count(DISTINCT from_address) as users,
total_transfers/num_weeks as average_per_week,
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