from artemis import Artemis

client = Artemis()
response = client.insights.list_all_time_lows()

# The 5 sharpest new lows:
for card in response.rows[:5]:
    print(
        f"{card.entity_id} {card.metric_name} "
        f"hit {card.new_value:,.0f} on {card.new_date} "
        f"(-{card.percent_below_previous:.1f}% vs prior ATL)"
    )

{
  "rows": [
    {
      "DOMAIN": "equity",
      "ENTITY_ID": "RKT",
      "METRIC_NAME": "gross_profit",
      "HORIZON": "quarterly",
      "UNIT": "CURRENCY",
      "METRIC_TYPE": "snapshot",
      "NEW_VALUE": -54357000,
      "NEW_DATE": "2024-07-01",
      "PREVIOUS_ATL_VALUE": 18283000,
      "PREVIOUS_ATL_DATE": "2023-01-01",
      "PERCENT_BELOW_PREVIOUS": 397.31,
      "PERIOD_END_DATE": "2024-09-30",
      "FISCAL_YEAR": 2024,
      "FISCAL_PERIOD": "Q3",
      "REPORT_DATE": "2024-09-30",
      "SPARKLINE": [
        {
          "date": "2024-01-01",
          "value": 41200000
        },
        {
          "date": "2024-04-01",
          "value": -12450000
        },
        {
          "date": "2024-07-01",
          "value": -54357000
        }
      ]
    }
  ]
}