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Off-exchange share of matched volume: five liquid names, July 2, 2026

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 2026-07-26, from What Is Dark Pool Trading? FINRA Volume Data.

as of ranking 5×4read in context →
Off-exchange share of matched volume: five liquid names, July 2, 2026 — 5 rows by 4 columns, computed from US exchange, SIP and OPRA data.
tickeroff_exchange_shares_mtotal_shares_moff_exchange_pct
SPY27.357.547.4
AAPL29.475.539
NVDA65.3142.945.7
TSLA36.874.249.6
KO7.718.841.1
Rows × columns
5 × 4
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 Off-exchange share of matched volume: five liquid names, July 2, 2026, derived from the stored result.
ColumnTypeRangeNotes
ticker text 5 distinct values (AAPL, KO, NVDA…)
off_exchange_shares_m number 7.7 to 65.3 count
total_shares_m number 18.8 to 142.9 count
off_exchange_pct number 39 to 49.6 percent

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
SELECT
    ticker,
    round(toFloat64(sumIf(size, exchange = 4 AND NOT hasAny(conditions, [15, 16, 38]))) / 1e6, 1) AS off_exchange_shares_m,
    round(toFloat64(sumIf(size, NOT hasAny(conditions, [15, 16, 38]))) / 1e6, 1) AS total_shares_m,
    round(100 * toFloat64(sumIf(size, exchange = 4 AND NOT hasAny(conditions, [15, 16, 38]))) / toFloat64(sumIf(size, NOT hasAny(conditions, [15, 16, 38]))), 1) AS off_exchange_pct
FROM global_markets.stocks_trades
WHERE ticker IN ('SPY', 'AAPL', 'NVDA', 'TSLA', 'KO')
  AND sip_timestamp >= '2026-07-02 00:00:00' AND sip_timestamp < '2026-07-03 00:00:00'
GROUP BY ticker
ORDER BY indexOf(['SPY', 'AAPL', 'NVDA', 'TSLA', 'KO'], ticker)

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