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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.
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
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
GameStop, Jan 28, 2021: $483 to $112 by Noon
GME reported short interest by settlement date: November 2020 to February 2021ranking · 2026-07-26 · 8×3Preview: 8 ranked values, largest first. GME daily close and volume: December 1, 2020 to January 27, 2021 (as-traded prices)series · 2026-07-26 · 39×4Preview: a 16-point series, ending higher. GME by half-hour: January 28, 2021 regular sessionseries · 2026-07-26 · 13×4Preview: a 13-point series, ending lower. GME options trades by session: January 25–28, 2021series · 2026-07-26 · 4×6Preview: a 4-point series, ending lower. GME on January 28, 2021: receipted (as-traded, pre-2022-split prices)scalar · 2026-07-26 · 1×14345 The restricted names on January 28, 2021: prior close vs close (ET regular session)ranking · 2026-07-26 · 5×4Preview: 5 ranked values, largest first. GME daily close and volume: January 29 to February 9, 2021series · 2026-07-26 · 8×4Preview: a 8-point series, ending lower.
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
$