STRASMORE/EXPLORE 3,094 QUERIES

How crowded is the short side? Days to cover across the whole reporting universe

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 2026-10-05, from Can You Opt Out of Share Lending?.

as of ranking 5×3read in context →
How crowded is the short side? Days to cover across the whole reporting universe — 5 rows by 3 columns, computed from US exchange, SIP and OPRA data.
days_to_cover_buckettickersshare_of_names_pct
1 to 2 days242542.2
2 to 3 days5199
3 to 5 days110019.1
5 to 10 days124621.7
10 days or more4618
Rows × columns
5 × 3
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 How crowded is the short side? Days to cover across the whole reporting universe, derived from the stored result.
ColumnTypeRangeNotes
days_to_cover_bucket text 5 distinct values
tickers number 461 to 2,425
share_of_names_pct number 8 to 42.2 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.

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.

WITH latest AS
(
    SELECT
        ticker,
        argMax(days_to_cover, settlement_date)    AS dtc,
        argMax(avg_daily_volume, settlement_date) AS adv
    FROM global_markets.stocks_short_interest
    WHERE settlement_date >= today() - 60
      AND ticker NOT IN ('SPCX')
    GROUP BY ticker
    HAVING adv > 200000
)
SELECT
    multiIf(dtc < 1,  'under 1 day',
            dtc < 2,  '1 to 2 days',
            dtc < 3,  '2 to 3 days',
            dtc < 5,  '3 to 5 days',
            dtc < 10, '5 to 10 days',
                      '10 days or more')                  AS days_to_cover_bucket,
    count()                                               AS tickers,
    round(100 * count() / (SELECT count() FROM latest), 1) AS share_of_names_pct
FROM latest
GROUP BY days_to_cover_bucket
ORDER BY min(dtc)
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