STRASMORE/EXPLORE 3,293 QUERIES

Days to cover across all liquid US tickers, latest settlement (min 1M shares/day)

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 2026-10-17, from What Is FINRA Short Interest? Days to Cover.

as of scalar 1×6read in context →
liquid tickers
2,923
liquid tickers fmt
2,923
median days to cover
2.8
p90 days to cover
7.3
lowest days to cover
1
names at 10 plus
91
Rows × columns
1 × 6
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 Days to cover across all liquid US tickers, latest settlement (min 1M shares/day), derived from the stored result.
ColumnTypeRangeNotes
liquid_tickers number every row is 2,923
liquid_tickers_fmt text 1 distinct value (2,923)
median_days_to_cover number every row is 2.8
p90_days_to_cover number every row is 7.3
lowest_days_to_cover number every row is 1
names_at_10_plus number every row is 91

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 (SELECT max(settlement_date) FROM global_markets.stocks_short_interest) AS latest
SELECT count() AS liquid_tickers,
       multiIf(count() < 1000, toString(count()),
               concat(toString(intDiv(count(), 1000)), ',', lpad(toString(count() % 1000), 3, '0'))) AS liquid_tickers_fmt,
       round(quantileExact(0.5)(dtc), 1) AS median_days_to_cover,
       round(quantileExact(0.9)(dtc), 1) AS p90_days_to_cover,
       min(dtc) AS lowest_days_to_cover,
       countIf(dtc >= 10) AS names_at_10_plus
FROM
(
    SELECT ticker, max(days_to_cover) AS dtc, max(avg_daily_volume) AS adv
    FROM global_markets.stocks_short_interest
    WHERE settlement_date = latest
    GROUP BY ticker
)
WHERE adv >= 1000000
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