STRASMORE/EXPLORE 2,225 QUERIES

short_quote_example

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 2026-09-13, from how-to-find-short-positions-in-german-stocks.

as of ranking 5×2read in context →
short_quote_example — 5 rows by 2 columns, computed from US exchange, SIP and OPRA data.
position_ownernet_short_pct
Holder A0.6
Holder B0.8
Holder C1.1
Holder D2
Short-Quote (sum)4.5
Rows × columns
5 × 2
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 short_quote_example, derived from the stored result.
ColumnTypeRangeNotes
position_owner text 5 distinct values (Holder A, Holder B, Holder C…)
net_short_pct number 0.6 to 4.5 percent

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
    position_owner,
    net_short_pct
FROM
(
    SELECT 'Holder A' AS position_owner, 0.6 AS net_short_pct, 1 AS sort_key
    UNION ALL SELECT 'Holder B', 0.8, 2
    UNION ALL SELECT 'Holder C', 1.1, 3
    UNION ALL SELECT 'Holder D', 2.0, 4
    UNION ALL SELECT 'Short-Quote (sum)', round(0.6 + 0.8 + 1.1 + 2.0, 2), 5
)
ORDER BY sort_key

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