niloCopy of Copy of weekly
Updated 2022-10-28
99
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
›
⌄
WITH
TOP_7 AS (
SELECT
NFT_COLLECTION,
SUM (CASE WHEN CURRENCY = 'A.1654653399040a61.FlowToken' THEN PRICE * FLOW_USD ELSE 0 END ) AS USD_FLOW,
SUM (CASE WHEN CURRENCY = 'A.3c5959b568896393.FUSD' THEN PRICE * FUSD_USD ELSE 0 END ) AS FUSD,
SUM (CASE WHEN CURRENCY = 'A.ead892083b3e2c6c.DapperUtilityCoin' THEN PRICE ELSE 0 END ) AS Dapper_Coin,
SUM (CASE WHEN CURRENCY = 'A.1654653399040a61.FlowToken' THEN PRICE ELSE 0 END ) AS FLOW,
USD_FLOW + FUSD + Dapper_Coin AS USD
FROM flow.core.ez_nft_sales SALES
LEFT JOIN ( SELECT DATE_TRUNC('WEEK',TIMESTAMP) AS TIMEU, AVG (PRICE_USD) AS FUSD_USD FROM flow.core.fact_prices WHERE SYMBOL = 'FUSD' GROUP BY 1) FUSD ON TIMEU = DATE_TRUNC('WEEK',BLOCK_TIMESTAMP)
LEFT JOIN ( SELECT DATE_TRUNC('WEEK',TIMESTAMP) AS TIMEF, AVG (PRICE_USD) AS FLOW_USD FROM flow.core.fact_prices WHERE SYMBOL = 'FLOW' GROUP BY 1) FLOW ON TIMEF = DATE_TRUNC('WEEK',BLOCK_TIMESTAMP)
WHERE TX_SUCCEEDED = 'TRUE' AND PRICE > 0 AND BLOCK_TIMESTAMP::DATE >= '2022-01-01' GROUP BY 1 ORDER BY USD DESC LIMIT 7)
SELECT
DATE_TRUNC('WEEK',BLOCK_TIMESTAMP) AS DATE,
CONTRACT_NAME as PROJECT,
COUNT (DISTINCT TX_ID) AS TXN,
COUNT (DISTINCT BUYER) AS BUYERS,
COUNT (DISTINCT SELLER) AS SELLERS,
SUM (CASE WHEN CURRENCY = 'A.1654653399040a61.FlowToken' THEN PRICE * FLOW_USD ELSE 0 END ) AS USD_FLOW,
SUM (CASE WHEN CURRENCY = 'A.3c5959b568896393.FUSD' THEN PRICE * FUSD_USD ELSE 0 END ) AS FUSD,
SUM (CASE WHEN CURRENCY = 'A.ead892083b3e2c6c.DapperUtilityCoin' THEN PRICE ELSE 0 END ) AS Dapper_Coin,
SUM (CASE WHEN CURRENCY = 'A.1654653399040a61.FlowToken' THEN PRICE ELSE 0 END ) AS FLOW,
USD_FLOW + FUSD + Dapper_Coin AS USD,
sum(TXN) over (partition by PROJECT order by date ) as cumTXN,
sum(BUYERS) over (partition by PROJECT order by date ) as cumBUYER,
sum(SELLERS) over (partition by PROJECT order by date ) as cumSELLER,
sum(USD_FLOW) over (partition by PROJECT order by date ) as cumUSD_FLOW,
sum(USD) over (partition by PROJECT order by date ) as cumUSD,
sum(FLOW) over (partition by PROJECT order by date ) as cum_FLOW,
sum(FUSD) over (partition by PROJECT order by date ) as cumFUSD
Run a query to Download Data