STRASMORE/EXPLORE 3,256 QUERIES 22Y EQUITIES · 12Y OPTIONS

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Short Squeeze Candidates This Week
Squeeze-shaped mechanics: crowded shorts among liquid names, with a rising priceranking · 2026-10-08 · 12×4Preview: 12 ranked values, largest first. The screened names ranked by short interest against shares outstanding (not float)table · 2026-10-08 · 10×5 Every past screened name, by what it did over the next 30 daysranking · 2026-10-08 · 6×3Preview: 6 ranked values, largest first. From the whole settlement file down to the screened list, one rule at a timeranking · 2026-10-08 · 4×2Preview: 4 ranked values, largest first. Every input behind this screen, and how many days old it isseries · 2026-10-08 · 3×3Preview: a 3-point series, ending lower. Liquid names at 5+ and 10+ days to cover, settlement by settlementseries · 2026-10-08 · 12×4Preview: a 12-point series, ending higher.
Most Shorted Stocks Right Now, Measured
The receipts: universe size, filter bite, median crowding, and list churn at the latest printscalar · 2026-10-08 · 1×522,593 Largest short positions by shares: latest settlement, liquid namesranking · 2026-10-08 · 10×4Preview: 10 ranked values, largest first. Crowding leaders vs. their own price: about one month of sessionsseries · 2026-10-08 · 5×5Preview: a 5-point series, ending higher. GME through the January 2021 squeeze: the same three columns, settlement by settlementseries · 2026-10-08 · 10×4Preview: a 10-point series, ending lower. Today's top-3 crowding leaders, traced back eight settlementsseries · 2026-10-08 · 8×4Preview: a 8-point series, ending higher. Biggest days-to-cover increases, latest settlement vs. the prior printranking · 2026-10-08 · 8×4Preview: 8 ranked values, largest first. Highest days to cover among liquid names: latest settlement on filetable · 2026-10-08 · 10×5
Why Short Interest Data Is Always Two Weeks Old
The pipeline lag in one row: plus the bulk backfill these figures deliberately excludescalar · 2026-10-04 · 1×613 Every incrementally-delivered settlement: measured on one date, on file days laterseries · 2026-10-04 · 13×3Preview: a 13-point series, ending lower. GME, winter 2020-21: each short interest print and the price move before it went public (as-traded prices)table · 2026-10-04 · 6×5 GME days to cover: as reported in the file, and recomputed on the volume that traded while the print was pendingscalar · 2026-10-04 · 1×839.1 The current state of the cycle: the newest print on file, and the one still in the pipelinescalar · 2026-10-04 · 1×622,593 The blind window: what five stocks did between the settlement date and the day its short interest was publishedtable · 2026-10-04 · 5×6
When Is Short Interest Released?
The short interest release schedule: recent FINRA settlement dates and names reportedseries · 2026-10-04 · 16×2Preview: a 16-point series, ending lower. Measured publication lag: settlement date vs the day the file first arrived hereseries · 2026-10-04 · 13×3Preview: a 13-point series, ending lower. The publication lag in one row: fastest, median and slowest across incrementally-delivered settlementsscalar · 2026-10-04 · 1×413 Day-of-month and the gap between consecutive settlement dates: the twice-monthly cadenceseries · 2026-10-04 · 16×3Preview: a 16-point series, roughly flat. The current state of the release cycle: the newest print on file and the settlement still pendingscalar · 2026-10-04 · 1×615
What Is FINRA Short Interest? Days to Cover
TSLA short interest vs. average daily volume, bi-monthly (last 2 years)series · 2026-10-04 · 47×3Preview: a 16-point series, ending lower. Short interest reporting dates: recent settlements, weekday, coverage and publication lagseries · 2026-10-04 · 9×5Preview: a 9-point series, ending lower. How liquid US stocks distribute by short interest as a percent of shares outstandingranking · 2026-10-04 · 5×4Preview: 5 ranked values, largest first. The latest FINRA short interest file: one snapshot of the whole marketscalar · 2026-10-04 · 1×422,593 GameStop, Nov 2020 – Mar 2021: short interest, days to cover and the closing price at each settlementseries · 2026-10-04 · 10×4Preview: a 10-point series, ending higher. Days to cover across all liquid US tickers, latest settlement (min 1M shares/day)scalar · 2026-10-04 · 1×62,642 Six household names at the latest settlement: shares short, percent of shares outstanding, days to covertable · 2026-10-04 · 6×6
Short Interest vs Short Volume: The Difference
Data points per dataset: AAPL, last 60 daysranking · 2026-10-04 · 2×2Preview: 2 ranked values, smallest first. Highest days to cover, latest settlement date (min 1M shares/day traded)ranking · 2026-10-04 · 10×3Preview: 10 ranked values, largest first. AAPL daily short volume ratio (last ~60 days)series · 2026-10-04 · 32×2Preview: a 16-point series, ending higher. AAPL short interest vs. average daily volume, bi-monthly (last 2 years)series · 2026-10-04 · 47×3Preview: a 16-point series, roughly flat. AAPL days to cover at each settlement date (last 2 years)series · 2026-10-04 · 47×3Preview: a 16-point series, roughly flat.
What Is a Short Squeeze? GameStop, Measured
Four January 2021 squeezes: price multiple and short interest before and after (as-traded prices)table · 2026-09-26 · 4×6 GME weekly price range and shares traded, January through mid-February 2021 (as-traded prices)table · 2026-09-26 · 7×5 GME 2021, one row: January low, late-January peak, February trough, March rebound (as-traded prices)scalar · 2026-09-26 · 1×717.05 GME short interest by settlement date, November 2020 through March 2021ranking · 2026-09-26 · 10×3Preview: 10 ranked values, largest first. GME options volume by week: calls vs. puts and total premium, January 2021table · 2026-09-26 · 5×5 Highest days to cover among liquid names: latest settlement on filetable · 2026-09-26 · 10×5 Days to cover across liquid names: every ticker averaging 5M+ shares/day, latest settlement on filescalar · 2026-09-26 · 1×6692
Highest Days to Cover Stocks Right Now
The receipts: file size, liquid names, thin names, and the liquid medianscalar · 2026-09-26 · 1×522,593 Highest days to cover among liquid names: 5M average-volume floorranking · 2026-09-26 · 12×4Preview: 12 ranked values, largest first. Today's liquid top-3 days-to-cover names, traced back eight settlementsseries · 2026-09-26 · 8×4Preview: a 8-point series, ending higher. Highest days to cover, latest settlement: 500k average-volume floortable · 2026-09-26 · 12×5 Days to cover by liquidity band: median stays low, the extremes live in thin namesranking · 2026-09-26 · 5×4Preview: 5 ranked values, smallest first.
Biggest Short Squeezes in History, Ranked
Peak multiple: highest print divided by the last close before the squeezeranking · 2026-09-12 · 5×4Preview: 5 ranked values, largest first. Market value swing: capitalization before the squeeze and at the peak, billionstable · 2026-09-12 · 2×5 Documented short-seller losses, billions, as estimated at the timetable · 2026-09-12 · 3×5
What Is Days to Cover? Short Interest Ratio
Every settlement since March 2026: and how long it took to arriveseries · 2026-07-26 · 8×6Preview: a 8-point series, ending higher. GME days to cover, settlement by settlement: June 2020 through the January 29, 2021 squeeze printseries · 2026-07-26 · 15×5Preview: a 15-point series, ending higher. Days to cover, four familiar names: settlement of June 30, 2026ranking · 2026-07-26 · 4×4Preview: 4 ranked values, largest first. Days to cover across liquid names (5M+ shares/day ADV): settlement of June 30, 2026ranking · 2026-07-26 · 5×2Preview: 5 ranked values, largest first. Two crowding measures, six names: short interest as % of shares outstanding vs. days to covertable · 2026-07-26 · 6×5 Highest days to cover among liquid names (5M+ shares/day ADV): settlement of June 30, 2026ranking · 2026-07-26 · 12×4Preview: 12 ranked values, largest first. Days to cover by trading-volume tier: every name in the June 30, 2026 settlementtable · 2026-07-26 · 4×7
FINRA Short Interest Data, Explained
Daily short-volume file coverage: the two documented truncation days vs their neighborsranking · 2026-07-26 · 6×2Preview: 6 ranked values, smallest first. Percent of reported volume marked short: five large caps on an ordinary day (July 10, 2026)table · 2026-07-26 · 5×6 History depth of both FINRA short-sale datasets in this warehousescalar · 2026-07-26 · 1×4206 Every 2026 settlement date on file, with the securities each print coversseries · 2026-07-26 · 13×3Preview: a 13-point series, ending higher. Settlement dates per year in the short interest file, 2018–2026ranking · 2026-07-26 · 9×2Preview: 9 ranked values, smallest first. AAPL in the short interest file: the five most recent settlement printstable · 2026-07-26 · 5×5
Squeeze-shaped mechanics: crowded shorts among liquid names, with a rising price

Squeeze-shaped mechanics: crowded shorts among liquid names, with a rising price

most recentas of ranking 12×4read in context →
Squeeze-shaped mechanics: crowded shorts among liquid names, with a rising price — 12 rows by 4 columns, computed from US exchange, SIP and OPRA data.
tickerdays_to_covershares_short_mreturn_5d_pct
CNQ22.1182.92
IBRX15.9125.410
RXRX12.6178.715.4
URG11.457.50.9
WIT10.8103.63.4
QS10.597.81.4
CVNA10.262.20.4
RUN10.171.10.4
NVAX9.349.94.5
CVE959.60.8
UUUU8.955.72.4
KDP8.9790.3
the exact SQL behind every number
WITH latest AS (
    SELECT max(settlement_date) AS d FROM global_markets.stocks_short_interest
),
sessions AS (
    SELECT toDate(toTimeZone(window_start, 'America/New_York')) AS session
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'SPY'
      AND window_start >= now() - INTERVAL 20 DAY
      AND toHour(toTimeZone(window_start, 'America/New_York')) * 60
        + toMinute(toTimeZone(window_start, 'America/New_York')) >= 570
      AND toHour(toTimeZone(window_start, 'America/New_York')) * 60
        + toMinute(toTimeZone(window_start, 'America/New_York')) < 960
    GROUP BY session
    HAVING count() >= 380
    ORDER BY session DESC
    LIMIT 6
),
crowded AS (
    SELECT ticker, days_to_cover, short_interest
    FROM global_markets.stocks_short_interest
    WHERE settlement_date = (SELECT d FROM latest)
      AND avg_daily_volume >= 5000000
      AND days_to_cover >= 5
      AND ticker NOT IN ('SPCX')
      AND ticker NOT IN ('KORU','SOXL','SOXS','TQQQ','SQQQ','NVDL','NVDS','NVD','TSLL','TSLQ','TSLZ','SPXL','SPXS','UPRO','SPXU','LABU','LABD','FAS','FAZ','TNA','TZA','YINN','YANG','UDOW','SDOW','BOIL','KOLD','UCO','SCO','USD','SSO','SDS','QLD','QID','ERX','ERY','DRN','DRV','CURE','SOXY','MUU','SNXX','UVXY','SVXY','UVIX','SVIX','BULZ','WEBL','WEBS','DPST','DRIP','GUSH','AGQ','ZSL','BITX','ETHU','MSTX','MSTU','CONL','DUST','JNUG','JDST','NUGT')
      AND ticker NOT IN (SELECT ticker FROM global_markets.stocks_splits
                         WHERE execution_date BETWEEN today() - 60 AND today())
),
tape AS (
    SELECT ticker,
           toDate(toTimeZone(window_start, 'America/New_York')) AS session,
           argMax(close, window_start) AS rth_close
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker IN (SELECT ticker FROM crowded)
      AND toDate(toTimeZone(window_start, 'America/New_York')) IN (SELECT session FROM sessions)
      AND toHour(toTimeZone(window_start, 'America/New_York')) * 60
        + toMinute(toTimeZone(window_start, 'America/New_York')) >= 570
      AND toHour(toTimeZone(window_start, 'America/New_York')) * 60
        + toMinute(toTimeZone(window_start, 'America/New_York')) < 960
    GROUP BY ticker, session
),
moves AS (
    SELECT ticker,
           round((argMax(rth_close, session) / argMin(rth_close, session) - 1) * 100, 1) AS return_5d_pct
    FROM tape
    GROUP BY ticker
    HAVING count() = 6 AND return_5d_pct > 0
)
SELECT c.ticker AS ticker,
       round(c.days_to_cover, 1) AS days_to_cover,
       round(c.short_interest / 1e6, 1) AS shares_short_m,
       m.return_5d_pct AS return_5d_pct
FROM crowded c
INNER JOIN moves m ON m.ticker = c.ticker
ORDER BY c.days_to_cover DESC, c.ticker
LIMIT 12
$