Tape conditions whose names mention the close
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 2026-10-03, from How Much Volume Trades at the Close.
| condition_id | condition_name | abbreviation | condition_type |
|---|---|---|---|
| 14 | Closing | quote_condition | |
| 15 | Closed | quote_condition | |
| 15 | Market Center Official Close | sale_condition | |
| 19 | Market Center Closing Trade | sale_condition | |
| 19 | Market Maker Quotes Closed | quote_condition | |
| 38 | Corrected Consolidated Close (per listing market) | sale_condition | |
| 8 | Closing Prints | sale_condition |
- Rows × columns
- 7 × 4
- Computed
- Completeness
- Some fields are partly empty — see the columns below
- Source
- US exchange, SIP and OPRA market data
- Licence
- Strasmore terms · free, no signup
What each column holds
| Column | Type | Range | Notes |
|---|---|---|---|
condition_id |
text | 5 distinct values (14, 15, 19…) | |
condition_name |
text | 7 distinct values (Closed, Closing, Closing Prints…) | |
abbreviation |
empty | — | 0 of 7 rows populated |
condition_type |
text | 2 distinct values (quote_condition, sale_condition) |
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(any(id)) AS condition_id,
name AS condition_name,
any(abbreviation) AS abbreviation,
any(type) AS condition_type
FROM global_markets.stocks_condition_codes
WHERE asset_class = 'stocks'
AND name ILIKE '%clos%'
GROUP BY name
ORDER BY condition_id
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