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Every settlement since March 2026: and how long it took to arrive

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 2026-07-26, from What Is Days to Cover? Short Interest Ratio.

as of series 8×6read in context →
Every settlement since March 2026: and how long it took to arrive — 8 rows by 6 columns, computed from US exchange, SIP and OPRA data.
settlement_datesettlement_labelarrived_in_warehouselag_daysnames_reportednames_reported_fmt
2026-03-13March 13, 20262026-04-01192158721,587
2026-03-31March 31, 20262026-04-10102167821,678
2026-04-15April 15, 20262026-05-01162175721,757
2026-04-30April 30, 20262026-05-11112182021,820
2026-05-15May 15, 20262026-06-10262189421,894
2026-05-29May 29, 20262026-06-10122198721,987
2026-06-15June 15, 20262026-07-01162217822,178
2026-06-30June 30, 20262026-07-11112220722,207
Rows × columns
8 × 6
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 Every settlement since March 2026: and how long it took to arrive, derived from the stored result.
ColumnTypeRangeNotes
settlement_date date 2026-03-13 to 2026-06-30
settlement_label text 8 distinct values
arrived_in_warehouse date 2026-04-01 to 2026-07-11
lag_days number 10 to 26
names_reported number 21,587 to 22,207
names_reported_fmt text 8 distinct values (21,587, 21,678, 21,757…)

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.

the exact SQL behind every number
SELECT settlement_date,
       formatDateTimeInJodaSyntax(settlement_date, 'MMMM d, yyyy') AS settlement_label,
       formatDateTime(toDate(min(_ingest_time)), '%Y-%m-%d') AS arrived_in_warehouse,
       dateDiff('day', settlement_date, toDate(min(_ingest_time))) AS lag_days,
       count() AS names_reported,
       if(count() < 1000,
          toString(count()),
          concat(toString(intDiv(count(), 1000)), ',', leftPad(toString(count() % 1000), 3, '0'))) AS names_reported_fmt
FROM global_markets.stocks_short_interest
WHERE settlement_date >= '2026-03-01'
  AND settlement_date <= '2026-06-30'
GROUP BY settlement_date
ORDER BY settlement_date

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