omer93Torneig R5 1.3
Updated 2022-12-08
999
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
›
⌄
--USD volume, # of swaps volume, # of wallets swapping, size of swaps
--Users should also be able to understand the popularity of swap programs(what exchange) on each change and how the swap programs compare across chains
--The % of market share in defi swaps each chain holds
--What percent of a chain's DeFi swap volume is stablecoins
--Most popular times to perform swaps
-- Flow, Ethereum, Solana, Algorand, Osmosis, NEAR, and THORChain
WITH
algo as (
select
case when asset_name in ('AMUSDC','BUSD','DAI','PUSD','TUSD','USDC','USDT','UST','alUSD','cDAI','sUSD','sUSD','STBL')
then 'Stablecoin' else 'Others' end as type,
--collection_name as collection,
count(distinct swapper) as total_unique_swapper,
count(distinct TX_GROUP_ID) as total_swaps,
sum(swap_to_amount*price_usd) as total_volume,
avg(swap_to_amount*price_usd) average_volume_swapped,
median(swap_to_amount*price_usd) median_volume_swapped,
min(swap_to_amount*price_usd) min_volume_swapped,
max(swap_to_amount*price_usd) max_volume_swapped
from algorand.defi.fact_swap x
join algorand.defi.ez_price_swap y on trunc(x.block_timestamp,'hour')=y.block_hour and x.SWAP_TO_ASSET_ID=y.asset_id
--join algorand.nft.ez_nft_asset y on x.nft_asset_id=y.nft_asset_id
where swap_to_amount != 0
and block_timestamp::date >= current_date - INTERVAL '{{Number}} {{Period}}' group by 1
),
flow_prices as (
SELECT
date_trunc('day',timestamp) as days,
token_contract,symbol,
avg(price_usd) as price_usd
from flow.core.fact_prices
group by 1,2,3
),
flow as (
select
Run a query to Download Data