STRASMORE/EXPLORE 2,170 QUERIES

Share of prints by trade size: AAPL against KO

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 2026-08-20, from What Is a Trade-Through? ISO Orders Explained.

as of ranking 5×4read in context →
Share of prints by trade size: AAPL against KO — 5 rows by 4 columns, computed from US exchange, SIP and OPRA data.
trade_sizeaapl_pctko_pctaapl_minus_ko_pct
1 to 99 (odd lot)90.680.610
exactly 1003.612.4-8.8
101 to 4995.36.1-0.8
500 to 9990.40.5-0.2
1000 or more0.10.4-0.2
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 Share of prints by trade size: AAPL against KO, derived from the stored result.
ColumnTypeRangeNotes
trade_size text 5 distinct values
aapl_pct number 0.1 to 90.6 percent
ko_pct number 0.4 to 80.6 percent
aapl_minus_ko_pct number -8.8 to 10 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
    multiIf(size < 100,  '1 to 99 (odd lot)',
            size = 100,  'exactly 100',
            size < 500,  '101 to 499',
            size < 1000, '500 to 999',
                         '1000 or more')                                       AS trade_size,
    round(100 * countIf(ticker = 'AAPL')
              / greatest(sum(countIf(ticker = 'AAPL')) OVER (), 1), 1)         AS aapl_pct,
    round(100 * countIf(ticker = 'KO')
              / greatest(sum(countIf(ticker = 'KO')) OVER (), 1), 1)           AS ko_pct,
    round(100 * countIf(ticker = 'AAPL')
              / greatest(sum(countIf(ticker = 'AAPL')) OVER (), 1)
        - 100 * countIf(ticker = 'KO')
              / greatest(sum(countIf(ticker = 'KO')) OVER (), 1), 1)           AS aapl_minus_ko_pct
FROM global_markets.stocks_trades
WHERE ticker IN ('AAPL', 'KO')
  AND sip_timestamp >= '2026-06-10 14:00:00'
  AND sip_timestamp <  '2026-06-10 14:30:00'
GROUP BY trade_size
ORDER BY min(size)

Run your own version of this

The same 22 years of US equities and 12 years of options data are queryable in SQL or plain English. A free account runs 100 queries a day and takes no card.

More from this analysisWhat Is a Trade-Through? ISO Orders Explained
Where 30 minutes of AAPL prints landed, by venue ranking 12×3 Distinct venues printing AAPL inside the same second, minute by minute series 30×3 Sale conditions that mark protection-rule exceptions table 11×3 Where AAPL trades printed, June 17 2026, 10:00 to 11:30 ET ranking 17×3 Which venue held the national best bid in AAPL, June 17 2026, 10:00 to 11:30 ET ranking 16×3 Where one liquid name's shares printed, by venue (Jul 15, 2026) ranking 12×3 See all 2,170 queries →