Options ADV: average daily contracts and share-equivalent exposure (June 11 – July 10, 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 2026-07-26, from What Is Average Daily Volume (ADV)?.
| underlying | avg_daily_contracts_k | share_equivalent_m | sessions |
|---|---|---|---|
| SPY | 12543.2 | 1254.3 | 20 |
| AAPL | 1265.1 | 126.5 | 20 |
| MU | 804.7 | 80.5 | 20 |
| KO | 64.6 | 6.5 | 20 |
- Rows × columns
- 4 × 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 |
|---|---|---|---|
underlying |
text | 4 distinct values (AAPL, KO, MU…) | |
avg_daily_contracts_k |
number | 64.6 to 12,543.2 | count |
share_equivalent_m |
number | 6.5 to 1,254.3 | |
sessions |
number | every row is 20 |
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 daily AS (
SELECT multiIf(ticker LIKE 'O:SPY2%', 'SPY', ticker LIKE 'O:AAPL2%', 'AAPL', ticker LIKE 'O:MU2%', 'MU', 'KO') AS underlying,
toDate(toTimeZone(window_start, 'America/New_York')) AS et_date,
sum(toFloat64(volume)) AS contracts
FROM global_markets.options_minute_aggs
WHERE (ticker LIKE 'O:SPY2%' OR ticker LIKE 'O:AAPL2%' OR ticker LIKE 'O:MU2%' OR ticker LIKE 'O:KO2%')
AND window_start >= toDateTime('2026-06-11 00:00:00', 'America/New_York')
AND window_start < toDateTime('2026-07-11 00:00:00', 'America/New_York')
GROUP BY underlying, et_date
)
SELECT underlying,
round(avg(contracts) / 1e3, 1) AS avg_daily_contracts_k,
round(avg(contracts) * 100 / 1e6, 1) AS share_equivalent_m,
count() AS sessions
FROM daily
GROUP BY underlying
ORDER BY avg_daily_contracts_k DESC
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