STRASMORE/EXPLORE 2,500 QUERIES

mandate_track

Answered against 22 years of US equities and 12 years of US options data and published with the query that produced it. This result is stored as of 2026-09-23, from hawkish-vs-dovish-meaning.

as of series 52×4read in context →
mandate_track — 52 rows by 4 columns, computed from US exchange, SIP and OPRA data.
monthmonth_labelcpi_yoy_pctunemployment_pct
2021-01-01Jan 20211.46.4
2021-02-01Feb 20211.76.2
2021-03-01Mac 20212.66.1
2021-04-01Apr 20214.26.1
2021-05-01Mei 202155.8
2021-06-01Jun 20215.45.9
2021-07-01Jul 20215.45.4
2021-08-01Ogos 20215.35.1
2021-09-01Sep 20215.44.7
2021-10-01Okt 20216.24.5
2021-11-01Nov 20216.84.1
2021-12-01Dis 202173.9
2022-01-01Jan 20227.54
2022-02-01Feb 20227.93.9
2022-03-01Mac 20228.53.7
2022-04-01Apr 20228.33.7
2022-05-01Mei 20228.63.6
2022-06-01Jun 20229.13.6
2022-07-01Jul 20228.53.5
2022-08-01Ogos 20228.33.6
2022-09-01Sep 20228.23.5
2022-10-01Okt 20227.73.6
2022-11-01Nov 20227.13.6
2022-12-01Dis 20226.53.5
2023-01-01Jan 20236.43.5
2023-02-01Feb 202363.6
2023-03-01Mac 202353.5
2023-04-01Apr 20234.93.4
2023-05-01Mei 202343.6
2023-06-01Jun 202333.6
2023-07-01Jul 20233.23.5
2023-08-01Ogos 20233.73.7
2023-09-01Sep 20233.73.7
2023-10-01Okt 20233.23.9
2023-11-01Nov 20233.13.7
2023-12-01Dis 20233.43.8
2024-01-01Jan 20243.13.7
2024-02-01Feb 20243.23.9
2024-03-01Mac 20243.53.9
2024-04-01Apr 20243.43.9
2024-05-01Mei 20243.33.9
2024-06-01Jun 202434.1
2024-07-01Jul 20242.94.2
2024-08-01Ogos 20242.54.2
2024-09-01Sep 20242.44.1
2024-10-01Okt 20242.64.1
2024-11-01Nov 20242.74.2
2024-12-01Dis 20242.94.1
2025-01-01Jan 202534
2025-02-01Feb 20252.84.2
2025-03-01Mac 20252.44.2
2025-04-01Apr 20252.34.2
Rows × columns
52 × 4
Period covered
to
Computed
Completeness
No missing values
Source
US exchange, SIP and OPRA market data
Licence
Strasmore terms · free, no signup
Formats
JSON · CSV · the SQL below

What each column holds

Column definitions for mandate_track, derived from the stored result.
ColumnTypeRangeNotes
month date 2021-01-01 to 2025-04-01
month_label text 52 distinct values (Apr 2021, Apr 2022, Apr 2023…)
cpi_yoy_pct number 1.4 to 9.1 percent
unemployment_pct number 3.4 to 6.4 percent

Computed from Strasmore's warehouse of US exchange, SIP and OPRA market data. Equity prices are delayed; options greeks and implied volatility are end-of-day. This result is stored, not recomputed on load — it is exactly the numbers that were returned on , and the query below is what returned them.

Run it yourself

This is the exact query behind the result above. Change a ticker, a date or a column and run it against the warehouse — no account, no key. The no-signup tier is smaller than the one this page was computed on; a query that reaches past it comes back saying which plan runs it.

SELECT
    toString(c.month)                                                  AS month,
    concat(arrayElement(['Jan','Feb','Mac','Apr','Mei','Jun','Jul','Ogos','Sep','Okt','Nov','Dis'], toMonth(c.month)), ' ',
           toString(toYear(c.month)))                                  AS month_label,
    round(c.cpi_yoy_pct, 1)                                            AS cpi_yoy_pct,
    round(j.unemployment_pct, 1)                                       AS unemployment_pct
FROM
(
    SELECT
        toStartOfMonth(date)                              AS month,
        argMax(toFloat64(cpi_year_over_year), date)       AS cpi_yoy_pct
    FROM global_markets.inflation
    WHERE date >= '2021-01-01'
      AND toFloat64(cpi_year_over_year) != 0
    GROUP BY month
) AS c
INNER JOIN
(
    SELECT
        toStartOfMonth(date)                              AS month,
        argMax(toFloat64(unemployment_rate), date)        AS unemployment_pct
    FROM global_markets.labor_market
    WHERE date >= '2021-01-01'
      AND toFloat64(unemployment_rate) > 0
    GROUP BY month
) AS j ON c.month = j.month
ORDER BY c.month ASC
⌘/Ctrl + Enter

Gunakan data ini dalam pembantu AI anda

Dibuka sedia untuk ditanya, dengan data halaman ini. Percuma, tanpa akaun.