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.
| trade_size | aapl_pct | ko_pct | aapl_minus_ko_pct |
|---|---|---|---|
| 1 to 99 (odd lot) | 90.6 | 80.6 | 10 |
| exactly 100 | 3.6 | 12.4 | -8.8 |
| 101 to 499 | 5.3 | 6.1 | -0.8 |
| 500 to 999 | 0.4 | 0.5 | -0.2 |
| 1000 or more | 0.1 | 0.4 | -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
What each column holds
| Column | Type | Range | Notes |
|---|---|---|---|
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)
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