core.metric_daily
Derived from the tables above via the registry in app/core/metrics.py. Export is decided per METRIC here, not per source - see core.metric_registry.
Simplify Analyticsmetric_daily699,474 rowsrestricted — hover for the licenceas_of_date leads no index, so this sort reads every matching row and keeps only the top 50 in a heap (the page LIMIT), under a 5s statement timeout.
| metric_idtext | entity_idtext | as_of_date ↑date | valuenumeric | sourcetext | endpointtext | request_paramsjsonb | vintage_tstimestamp with time zone | retrieved_at |
|---|
| close_adj | PANW | 2016-09-01 | 23.4433333333 | metric_daily | — | — | 2026-09-09 11:17 | 2026-09-09 11:17 |
| close_adj | PANW | 2016-09-02 | 24.1966666667 | metric_daily | — | — | 2026-09-09 11:17 | 2026-09-09 11:17 |
| close_adj | PANW | 2016-09-06 | 24.1616666667 | metric_daily | — | — | 2026-09-09 11:17 | 2026-09-09 11:17 |
| close_adj | PANW | 2016-09-07 | 24.5550000000 | metric_daily | — | — | 2026-09-09 11:17 | 2026-09-09 11:17 |
| close_adj | PANW | 2016-09-08 | 24.4966666667 | metric_daily | — | — | 2026-09-09 11:17 | 2026-09-09 11:17 |
| close_adj | PANW | 2016-09-09 | 24.0683333333 | metric_daily | — | — | 2026-09-09 11:17 | 2026-09-09 11:17 |
| close_adj | PANW | 2016-09-12 | 24.5250000000 | metric_daily | — | — | 2026-09-09 11:17 | 2026-09-09 11:17 |
| close_adj | PANW | 2016-09-13 | 24.5100000000 | metric_daily | — | — | 2026-09-09 11:17 | 2026-09-09 11:17 |
| close_adj | PANW | 2016-09-14 | 24.7216666667 | metric_daily | — | — | 2026-09-09 11:17 | 2026-09-09 11:17 |
| close_adj | PANW | 2016-09-15 | 24.7483333333 | metric_daily | — | — | 2026-09-09 11:17 | 2026-09-09 11:17 |
| close_adj | PANW | 2016-09-16 | 24.8500000000 | metric_daily | — | — | 2026-09-09 11:17 | 2026-09-09 11:17 |
| close_adj | PANW | 2016-09-19 | 25.1233333333 | metric_daily | — | — | 2026-09-09 11:17 | 2026-09-09 11:17 |
| close_adj | PANW | 2016-09-20 | 25.0116666667 | metric_daily | — | — | 2026-09-09 11:17 | 2026-09-09 11:17 |
| close_adj | PANW | 2016-09-21 | 24.9366666667 | metric_daily | — | — | 2026-09-09 11:17 | 2026-09-09 11:17 |
| close_adj | PANW | 2016-09-22 | 25.4300000000 | metric_daily | — | — | 2026-09-09 11:17 | 2026-09-09 11:17 |
| close_adj | PANW | 2016-09-23 | 25.2033333333 | metric_daily | — | — | 2026-09-09 11:17 | 2026-09-09 11:17 |
| close_adj | PANW | 2016-09-26 | 24.9733333333 | metric_daily | — | — | 2026-09-09 11:17 | 2026-09-09 11:17 |
| close_adj | PANW | 2016-09-27 | 25.3166666667 | metric_daily | — | — | 2026-09-09 11:17 | 2026-09-09 11:17 |
| close_adj | PANW | 2016-09-28 | 25.7600000000 | metric_daily | — | — | 2026-09-09 11:17 | 2026-09-09 11:17 |
| close_adj | PANW | 2016-09-29 | 26.0133333333 | metric_daily | — | — | 2026-09-09 11:17 | 2026-09-09 11:17 |
| close_adj | PANW | 2016-09-30 | 26.5550000000 | metric_daily | — | — | 2026-09-09 11:17 | 2026-09-09 11:17 |
| close_adj | PANW | 2016-10-03 | 26.5133333333 | metric_daily | — | — | 2026-09-09 11:17 | 2026-09-09 11:17 |
| close_adj | PANW | 2016-10-04 | 26.6700000000 | metric_daily | — | — | 2026-09-09 11:17 | 2026-09-09 11:17 |
| close_adj | PANW | 2016-10-05 | 26.8916666667 | metric_daily | — | — | 2026-09-09 11:17 | 2026-09-09 11:17 |
| close_adj | PANW | 2016-10-06 | 26.6000000000 | metric_daily | — | — | 2026-09-09 11:17 | 2026-09-09 11:17 |
| close_adj | PANW | 2016-10-07 | 26.6533333333 | metric_daily | — | — | 2026-09-09 11:17 | 2026-09-09 11:17 |
| close_adj | PANW | 2016-10-10 | 26.6233333333 | metric_daily | — | — | 2026-09-09 11:17 | 2026-09-09 11:17 |
| close_adj | PANW | 2016-10-11 | 25.9133333333 | metric_daily | — | — | 2026-09-09 11:17 | 2026-09-09 11:17 |
| close_adj | PANW | 2016-10-12 | 25.7033333333 | metric_daily | — | — | 2026-09-09 11:17 | 2026-09-09 11:17 |
| close_adj | PANW | 2016-10-13 | 25.2266666667 | metric_daily | — | — | 2026-09-09 11:17 | 2026-09-09 11:17 |
| close_adj | PANW | 2016-10-14 | 25.0816666667 | metric_daily | — | — | 2026-09-09 11:17 | 2026-09-09 11:17 |
| close_adj | PANW | 2016-10-17 | 24.3333333333 | metric_daily | — | — | 2026-09-09 11:17 | 2026-09-09 11:17 |
| close_adj | PANW | 2016-10-18 | 24.7433333333 | metric_daily | — | — | 2026-09-09 11:17 | 2026-09-09 11:17 |
| close_adj | PANW | 2016-10-19 | 24.6933333333 | metric_daily | — | — | 2026-09-09 11:17 | 2026-09-09 11:17 |
| close_adj | PANW | 2016-10-20 | 24.7566666667 | metric_daily | — | — | 2026-09-09 11:17 | 2026-09-09 11:17 |
| close_adj | PANW | 2016-10-21 | 25.0283333333 | metric_daily | — | — | 2026-09-09 11:17 | 2026-09-09 11:17 |
| close_adj | PANW | 2016-10-24 | 25.2550000000 | metric_daily | — | — | 2026-09-09 11:17 | 2026-09-09 11:17 |
| close_adj | PANW | 2016-10-25 | 24.9700000000 | metric_daily | — | — | 2026-09-09 11:17 | 2026-09-09 11:17 |
| close_adj | PANW | 2016-10-26 | 25.2416666667 | metric_daily | — | — | 2026-09-09 11:17 | 2026-09-09 11:17 |
| close_adj | PANW | 2016-10-27 | 24.9416666667 | metric_daily | — | — | 2026-09-09 11:17 | 2026-09-09 11:17 |
| close_adj | PANW | 2016-10-28 | 25.2650000000 | metric_daily | — | — | 2026-09-09 11:17 | 2026-09-09 11:17 |
| close_adj | PANW | 2016-10-31 | 25.6383333333 | metric_daily | — | — | 2026-09-09 11:17 | 2026-09-09 11:17 |
| close_adj | PANW | 2016-11-01 | 25.3016666667 | metric_daily | — | — | 2026-09-09 11:17 | 2026-09-09 11:17 |
| close_adj | PANW | 2016-11-02 | 24.4700000000 | metric_daily | — | — | 2026-09-09 11:17 | 2026-09-09 11:17 |
| close_adj | PANW | 2016-11-03 | 24.2666666667 | metric_daily | — | — | 2026-09-09 11:17 | 2026-09-09 11:17 |
| close_adj | PANW | 2016-11-04 | 24.6666666667 | metric_daily | — | — | 2026-09-09 11:17 | 2026-09-09 11:17 |
| close_adj | PANW | 2016-11-07 | 25.4050000000 | metric_daily | — | — | 2026-09-09 11:17 | 2026-09-09 11:17 |
| close_adj | PANW | 2016-11-08 | 25.4883333333 | metric_daily | — | — | 2026-09-09 11:17 | 2026-09-09 11:17 |
| close_adj | PANW | 2016-11-09 | 26.5033333333 | metric_daily | — | — | 2026-09-09 11:17 | 2026-09-09 11:17 |
| close_adj | PANW | 2016-11-10 | 25.3183333333 | metric_daily | — | — | 2026-09-09 11:17 | 2026-09-09 11:17 |