Options trade prints by exchange count, five household names (Sep 16, 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 2026-10-08, from Does OPRA Have Depth of Book? Feed Explained.
| symbol | venues_printing | busiest_venue_share_pct |
|---|---|---|
| NVDA | 18 | 13.7 |
| AAPL | 18 | 15.1 |
| MSFT | 18 | 16.9 |
| SPY | 18 | 17 |
| KO | 18 | 17.3 |
- 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…) | |
venues_printing |
number | every row is 18 | |
busiest_venue_share_pct |
number | 13.7 to 17.3 | 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.
WITH per_venue AS
(
SELECT
underlying_symbol AS symbol,
exchange,
count() AS prints
FROM global_markets.options_trades
WHERE underlying_symbol IN ('AAPL', 'MSFT', 'NVDA', 'SPY', 'KO')
AND sip_timestamp >= '2026-09-16 00:00:00'
AND sip_timestamp < '2026-09-17 00:00:00'
GROUP BY symbol, exchange
)
SELECT
symbol,
count() AS venues_printing,
round(100 * max(prints) / sum(prints), 1) AS busiest_venue_share_pct
FROM per_venue
GROUP BY symbol
ORDER BY venues_printing DESC, busiest_venue_share_pct ASC
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