Days to cover across liquid names: every ticker averaging 5M+ shares/day, latest settlement on file
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 2026-09-26, from What Is a Short Squeeze? GameStop, Measured.
- Rows × columns
- 1 × 6
- Period covered
- Computed
- Completeness
- No missing values
- Source
- US exchange, SIP and OPRA market data
- Licence
- Strasmore terms · free, no signup
What each column holds
| Column | Type | Range | Notes |
|---|---|---|---|
settled |
date | 2026-09-15 | |
liquid_names |
number | every row is 692 | |
median_days_to_cover |
number | every row is 2.2 | |
p90_days_to_cover |
number | every row is 6.1 | |
max_days_to_cover |
number | every row is 22.1 | |
names_at_10_plus |
number | every row is 15 |
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(max(settlement_date)) AS settled,
count() AS liquid_names,
round(quantileDeterministic(0.5)(days_to_cover, cityHash64(ticker)), 1) AS median_days_to_cover,
round(quantileDeterministic(0.9)(days_to_cover, cityHash64(ticker)), 1) AS p90_days_to_cover,
round(max(days_to_cover), 1) AS max_days_to_cover,
countIf(days_to_cover >= 10) AS names_at_10_plus
FROM global_markets.stocks_short_interest
WHERE settlement_date = (SELECT max(settlement_date) FROM global_markets.stocks_short_interest)
AND avg_daily_volume >= 5000000
AND days_to_cover IS NOT NULL
AND ticker NOT IN ('SPCX')
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