STRASMORE/EXPLORE 2,170 QUERIES

The publication lag in one row: fastest, median and slowest across incrementally-delivered settlements

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 2026-08-22, from When Is Short Interest Released?.

as of scalar 1×4read in context →
settlements measured
10
fastest lag days
10
median lag days
14
slowest lag days
26
Rows × columns
1 × 4
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 The publication lag in one row: fastest, median and slowest across incrementally-delivered settlements, derived from the stored result.
ColumnTypeRangeNotes
settlements_measured number every row is 10
fastest_lag_days number every row is 10
median_lag_days number every row is 14
slowest_lag_days number every row is 26

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
WITH first_arrival AS (
    SELECT settlement_date,
           toDate(min(_ingest_time)) AS arrived
    FROM global_markets.stocks_short_interest
    GROUP BY settlement_date
),
bulk_days AS (
    SELECT arrived
    FROM first_arrival
    GROUP BY arrived
    HAVING count() > 5
),
organic AS (
    SELECT settlement_date,
           dateDiff('day', settlement_date, arrived) AS lag
    FROM first_arrival
    WHERE arrived NOT IN (SELECT arrived FROM bulk_days)
)
SELECT count() AS settlements_measured,
       min(lag) AS fastest_lag_days,
       round(quantileDeterministic(0.5)(lag, cityHash64(settlement_date)), 1) AS median_lag_days,
       max(lag) AS slowest_lag_days
FROM organic

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More from this analysisWhen Is Short Interest Released?
The current state of the release cycle: the newest print on file and the settlement still pending scalar 1×6 The short interest release schedule: recent FINRA settlement dates and names reported series 16×2 Day-of-month and the gap between consecutive settlement dates: the twice-monthly cadence series 16×3 Measured publication lag: settlement date vs the day the file first arrived here series 10×3 The pipeline lag in one row: plus the bulk backfill these figures deliberately exclude scalar 1×6 GME days to cover: as reported in the file, and recomputed on the volume that traded while the print was pending scalar 1×8 See all 2,170 queries →