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Short Squeeze Candidates This Week
Squeeze-shaped mechanics: crowded shorts among liquid names, with a rising priceranking · 2026-08-24 · 12×4Preview: 12 ranked values, largest first. The screened names ranked by short interest against shares outstanding (not float)table · 2026-08-24 · 10×5 Every past screened name, by what it did over the next 30 daysranking · 2026-08-24 · 6×3Preview: 6 ranked values, smallest first. From the whole settlement file down to the screened list, one rule at a timeranking · 2026-08-24 · 4×2Preview: 4 ranked values, largest first. Every input behind this screen, and how many days old it isseries · 2026-08-24 · 3×3Preview: a 3-point series, ending lower. Liquid names at 5+ and 10+ days to cover, settlement by settlementseries · 2026-08-24 · 12×4Preview: a 12-point series, ending higher.
Low P/E Stocks Near 52-Week Lows
Qualifying large caps as the distance band and the P/E ceiling widenranking · 2026-08-22 · 6×3Preview: 6 ranked values, smallest first. Large caps on a trailing P/E under 15, within 10% of a 52-week lowranking · 2026-08-22 · 9×3Preview: 9 ranked values, smallest first. KO month-end close against its trailing 12-month lowseries · 2026-08-22 · 14×4Preview: a 14-point series, ending higher.
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
IBRX14.51295
GERN9.976.81.6
ABCL9.748.316
XBI9.578.86.4
RXRX9.3180.86.1
ALLO9.260.88.5
PTON8.961.10.9
CLVT8.852.89.4
NUVB8.753.412.9
FLO8.6444
WEN8.558.83.1
CPB8.448.25.3
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
$