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Average shares per trade, ten household names

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 2026-08-22, from NYSE Parity and D-Quotes: How Fills Allocate.

as of ranking 10×3read in context →
Average shares per trade, ten household names — 10 rows by 3 columns, computed from US exchange, SIP and OPRA data.
tickerlisting_venueavg_shares_per_trade
INTCNasdaq listed118
CSCONasdaq listed98
WMTNYSE listed87
XOMNYSE listed87
PEPNasdaq listed68
KONYSE listed63
AAPLNasdaq listed61
JPMNYSE listed55
JNJNYSE listed54
MSFTNasdaq listed50
Rows × columns
10 × 3
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 Average shares per trade, ten household names, derived from the stored result.
ColumnTypeRangeNotes
ticker text 10 distinct values (AAPL, CSCO, INTC…)
listing_venue text 2 distinct values (NYSE listed, Nasdaq listed)
avg_shares_per_trade number 50 to 118 count

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,
    multiIf(ticker IN ('KO', 'JPM', 'XOM', 'JNJ', 'WMT'), 'NYSE listed', 'Nasdaq listed') AS listing_venue,
    round(toFloat64(sum(volume)) / sum(transactions), 0) AS avg_shares_per_trade
FROM global_markets.stocks_daily_aggs
WHERE ticker IN ('KO', 'JPM', 'XOM', 'JNJ', 'WMT', 'AAPL', 'MSFT', 'INTC', 'CSCO', 'PEP')
  AND date >= today() - 120
  AND date <  today() - 4
GROUP BY ticker
HAVING sum(transactions) > 0
ORDER BY avg_shares_per_trade DESC

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