-- count(DISTINCT CASE WHEN to_address LIKE lower('0x94D3E62151B12A12A4976F60EdC18459538FaF08') THEN origin_from_address ELSE to_address END) as users,
-- sum(raw_amount / power(10, 18) * CASE WHEN symbol LIKE '0x2170Ed0880ac9A755fd29B2688956BD959F933F8' THEN price ELSE 1 END) as volume