Print sizes across five names, 10:00 to 11:00 a.m. ET on 2026-06-10
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 2026-09-28, from Time in Force Explained: Day, GTC, IOC, FOK.
| symbol | avg_print_shares | large_print_pct |
|---|---|---|
| NVDA | 38 | 0.32 |
| KO | 42 | 0.31 |
| SPY | 45 | 0.24 |
| AAPL | 38 | 0.14 |
| MSFT | 31 | 0.1 |
- Rows × columns
- 5 × 3
- 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 |
|---|---|---|---|
symbol |
text | 5 distinct values (AAPL, KO, MSFT…) | |
avg_print_shares |
number | 31 to 45 | count |
large_print_pct |
number | 0.1 to 0.32 | 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.
Run it yourself
This is the exact query behind the result above. Change a ticker, a date or a column and run it against the warehouse — no account, no key. The no-signup tier is smaller than the one this page was computed on; a query that reaches past it comes back saying which plan runs it.
SELECT
ticker AS symbol,
round(avg(size), 0) AS avg_print_shares,
round(100 * countIf(size >= 1000) / count(), 2) AS large_print_pct
FROM global_markets.stocks_trades
WHERE ticker IN ('SPY', 'AAPL', 'NVDA', 'MSFT', 'KO')
AND sip_timestamp >= toDateTime('2026-06-10 14:00:00', 'UTC')
AND sip_timestamp < toDateTime('2026-06-10 15:00:00', 'UTC')
AND size > 0
GROUP BY ticker
ORDER BY large_print_pct DESC
Work with this data in your AI assistant
Opens ready to query, with this page's data. Free, no account.