DATE | daily tvl [usd] | |
|---|---|---|
1 | 2025-05-01 00:00:00.000 | 28400105 |
2 | 2025-05-02 00:00:00.000 | 29026953 |
3 | 2025-05-03 00:00:00.000 | 29686001 |
4 | 2025-05-04 00:00:00.000 | 28996503 |
5 | 2025-05-05 00:00:00.000 | 27876699 |
6 | 2025-05-06 00:00:00.000 | 27793819 |
7 | 2025-05-07 00:00:00.000 | 27027552 |
8 | 2025-05-08 00:00:00.000 | 26705094 |
9 | 2025-05-09 00:00:00.000 | 28781354 |
10 | 2025-05-10 00:00:00.000 | 28876416 |
11 | 2025-05-11 00:00:00.000 | 30068096 |
12 | 2025-05-12 00:00:00.000 | 29648041 |
13 | 2025-05-13 00:00:00.000 | 30942517 |
14 | 2025-05-14 00:00:00.000 | 32018349 |
15 | 2025-05-15 00:00:00.000 | 31574941 |
16 | 2025-05-16 00:00:00.000 | 30668007 |
17 | 2025-05-17 00:00:00.000 | 29903772 |
18 | 2025-05-18 00:00:00.000 | 29270766 |
19 | 2025-05-19 00:00:00.000 | 29280357 |
20 | 2025-05-20 00:00:00.000 | 29656566 |
permaryDaily TVL
Updated 2025-05-31
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with klaytn_tvl as (
with json as (
select defillama.get('/v2/historicalChainTvl/Klaytn', {}) as resp
)
select
to_timestamp(value:date::string) as date,
value:tvl as tvl_usd
from json, lateral flatten(input => resp:data)
)
select
date,
max(tvl_usd) as "daily tvl [usd]"
from klaytn_tvl
where date >= current_date - interval '30 days'
group by date
order by date;
Last run: 14 days ago
31
1KB
26s