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Reported short sale volume as a share of total volume, past six monthsranking · 2026-10-09 · 5×3Preview: 5 ranked values, largest first. Front-end Treasury yields, monthly averagesseries · 2026-10-09 · 14×3Preview: a 14-point series, ending higher. How often the settlement wait is overnight, and how often it is longerranking · 2026-10-09 · 4×3Preview: 4 ranked values, largest first. Calendar days from a sale to its settlement date, session by sessionseries · 2026-10-09 · 70×3Preview: a 16-point series, ending higher.
Reported short sale volume as a share of total volume, past six months

Reported short sale volume as a share of total volume, past six months

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Reported short sale volume as a share of total volume, past six months — 5 rows by 3 columns, computed from US exchange, SIP and OPRA data.
tickershort_share_pctbusiest_day_pct
SPY54.276.2
AAPL46.563.3
KO43.265.6
NVDA38.757.4
MSFT36.861.4
the exact SQL behind every number
WITH daily AS
(
    SELECT
        date,
        ticker,
        max(toFloat64(short_volume)) AS short_vol,
        max(toFloat64(total_volume)) AS total_vol
    FROM global_markets.stocks_short_volume
    WHERE ticker IN ('AAPL', 'MSFT', 'NVDA', 'SPY', 'KO')
      AND ticker NOT IN ('SPCX')
      AND date >= today() - 180
    GROUP BY date, ticker
    HAVING max(toFloat64(total_volume)) > 0
)
SELECT
    ticker,
    round(100 * sum(short_vol) / sum(total_vol), 1) AS short_share_pct,
    round(100 * max(short_vol / total_vol), 1)      AS busiest_day_pct
FROM daily
GROUP BY ticker
ORDER BY short_share_pct DESC
$