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Rule 204 close-out deadline for a short-sale fail, by trade date (US sessions, trailing weeks)

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 2026-11-01, from Short Delivery Auction in India: NSE Rules.

as of series 15×6read in context →
Rule 204 close-out deadline for a short-sale fail, by trade date (US sessions, trailing weeks) — 15 rows by 6 columns, computed from US exchange, SIP and OPRA data.
trade_datetrade_weekdaysettlement_daterule_204_deadlinedeadline_weekdaycalendar_days_to_deadline
2026-10-08Thu2026-10-092026-10-12Mon4
2026-10-09Fri2026-10-122026-10-13Tue4
2026-10-12Mon2026-10-132026-10-14Wed2
2026-10-13Tue2026-10-142026-10-15Thu2
2026-10-14Wed2026-10-152026-10-16Fri2
2026-10-15Thu2026-10-162026-10-19Mon4
2026-10-16Fri2026-10-192026-10-20Tue4
2026-10-19Mon2026-10-202026-10-21Wed2
2026-10-20Tue2026-10-212026-10-22Thu2
2026-10-21Wed2026-10-222026-10-23Fri2
2026-10-22Thu2026-10-232026-10-26Mon4
2026-10-23Fri2026-10-262026-10-27Tue4
2026-10-26Mon2026-10-272026-10-28Wed2
2026-10-27Tue2026-10-282026-10-29Thu2
2026-10-28Wed2026-10-292026-10-30Fri2
Rows × columns
15 × 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 Rule 204 close-out deadline for a short-sale fail, by trade date (US sessions, trailing weeks), derived from the stored result.
ColumnTypeRangeNotes
trade_date date 2026-10-08 to 2026-10-28
trade_weekday text 5 distinct values (Fri, Mon, Thu…)
settlement_date date 2026-10-09 to 2026-10-29
rule_204_deadline date 2026-10-12 to 2026-10-30
deadline_weekday text 5 distinct values (Fri, Mon, Thu…)
calendar_days_to_deadline number 2 to 4

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(t_day)                     AS trade_date,
    formatDateTime(t_day, '%a')         AS trade_weekday,
    toString(s_day)                     AS settlement_date,
    toString(c_day)                     AS rule_204_deadline,
    formatDateTime(c_day, '%a')         AS deadline_weekday,
    dateDiff('day', t_day, c_day)       AS calendar_days_to_deadline
FROM
(
    SELECT
        session_date                                                                                AS t_day,
        anyLast(session_date) OVER (ORDER BY session_date ROWS BETWEEN CURRENT ROW AND 1 FOLLOWING) AS s_day,
        anyLast(session_date) OVER (ORDER BY session_date ROWS BETWEEN CURRENT ROW AND 2 FOLLOWING) AS c_day,
        count()               OVER (ORDER BY session_date ROWS BETWEEN CURRENT ROW AND 2 FOLLOWING) AS sessions_in_frame
    FROM
    (
        SELECT DISTINCT date AS session_date
        FROM global_markets.stocks_daily_aggs
        WHERE ticker = 'SPY'
          AND date >= today() - 24
    )
)
WHERE sessions_in_frame = 3
ORDER BY t_day
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More from this analysisShort Delivery Auction in India: NSE Rules
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