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Crowding leaders vs. their own price: about one month of sessions

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 2026-08-25, from Most Shorted Stocks Right Now, Measured.

as of series 4×5read in context →
Crowding leaders vs. their own price: about one month of sessions — 4 rows by 5 columns, computed from US exchange, SIP and OPRA data.
tickerdays_to_coverreturn_pctfrom_sessionto_session
IBRX14.5-6.32026-07-212026-08-24
IQ10.4-19.32026-07-212026-08-24
GERN9.95.22026-07-212026-08-24
ABCL9.782.42026-07-212026-08-24
Rows × columns
4 × 5
Period covered
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 Crowding leaders vs. their own price: about one month of sessions, derived from the stored result.
ColumnTypeRangeNotes
ticker text 4 distinct values (ABCL, GERN, IBRX…)
days_to_cover number 9.7 to 14.5
return_pct number -19.3 to 82.4 percent
from_session date 2026-07-21
to_session date 2026-08-24

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.

the exact SQL behind every number
WITH top5 AS (
    SELECT ticker, round(days_to_cover, 1) AS dtc
    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')
    ORDER BY days_to_cover DESC, ticker
    LIMIT 5
),
daily 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 top5)
      AND window_start >= now() - INTERVAL 35 DAY
      AND toHour(toTimeZone(window_start, 'America/New_York')) * 60
          + toMinute(toTimeZone(window_start, 'America/New_York')) BETWEEN 570 AND 959
    GROUP BY ticker, session
),
moves AS (
    SELECT ticker,
           count() AS sessions,
           toString(min(session)) AS from_session,
           toString(max(session)) AS to_session,
           round((argMax(rth_close, session) / argMin(rth_close, session) - 1) * 100, 1) AS return_pct
    FROM daily
    GROUP BY ticker
    HAVING sessions >= 15
)
SELECT m.ticker AS ticker,
       t.dtc AS days_to_cover,
       m.return_pct AS return_pct,
       m.from_session AS from_session,
       m.to_session AS to_session
FROM moves m
INNER JOIN top5 t ON m.ticker = t.ticker
ORDER BY t.dtc DESC, m.ticker

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