STRASMORE/EXPLORE 2,170 QUERIES

Every input behind this screen, and how many days old it is

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 2026-08-24, from Short Squeeze Candidates This Week.

as of series 3×3read in context →
Every input behind this screen, and how many days old it is — 3 rows by 3 columns, computed from US exchange, SIP and OPRA data.
as_of_datelegage_days
Jul 15, 2026Short interest, previous settlement40
Jul 31, 2026Short interest, latest settlement24
Aug 19, 2026Price tape, last fully loaded session5
Rows × columns
3 × 3
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 input behind this screen, and how many days old it is, derived from the stored result.
ColumnTypeRangeNotes
as_of_date date Aug 19, 20 to Jul 31, 20
leg text 3 distinct values
age_days number 5 to 40

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 prints AS (
    SELECT DISTINCT settlement_date AS d
    FROM global_markets.stocks_short_interest
    ORDER BY d DESC
    LIMIT 2
),
loaded AS (
    SELECT toDate(toTimeZone(window_start, 'America/New_York')) AS session
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'SPY'
      AND window_start >= now() - INTERVAL 20 DAY
      AND toHour(toTimeZone(window_start, 'America/New_York')) * 60
        + toMinute(toTimeZone(window_start, 'America/New_York')) >= 570
      AND toHour(toTimeZone(window_start, 'America/New_York')) * 60
        + toMinute(toTimeZone(window_start, 'America/New_York')) < 960
    GROUP BY session
    HAVING count() >= 380
),
legs AS (
    SELECT arrayJoin([
        ('Short interest, previous settlement', (SELECT min(d) FROM prints)),
        ('Short interest, latest settlement', (SELECT max(d) FROM prints)),
        ('Price tape, last fully loaded session', (SELECT max(session) FROM loaded))]) AS row
)
SELECT formatDateTime(row.2, '%b %e, %Y') AS as_of_date,
       row.1 AS leg,
       dateDiff('day', row.2, today()) AS age_days
FROM legs

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