STRASMORE/EXPLORE 3,256 QUERIES

Distinct expirations listed for the rest of July 2026: eight US names

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 2026-08-03, from DAX Daily Options: How Eurex 0DTE Works.

as of ranking 8×3read in context →
Distinct expirations listed for the rest of July 2026: eight US names — 8 rows by 3 columns, computed from US exchange, SIP and OPRA data.
underlying_symbolexpirations_listedtraded_millions
SPY113.66
QQQ112.21
IWM110.55
NVDA71.98
AAPL71.44
MSFT60.59
KO30.03
XLU30.01
Rows × columns
8 × 3
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 Distinct expirations listed for the rest of July 2026: eight US names, derived from the stored result.
ColumnTypeRangeNotes
underlying_symbol text 8 distinct values (AAPL, IWM, KO…)
expirations_listed number 3 to 11
traded_millions number 0.01 to 3.66

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 underlying_symbol,
       uniqExact(expiration_date) AS expirations_listed,
       round(sum(volume) / 1e6, 2) AS traded_millions
FROM global_markets.options_greeks
WHERE date = toDate('2026-07-16')
  AND underlying_symbol IN ('SPY', 'QQQ', 'IWM', 'AAPL', 'NVDA', 'MSFT', 'KO', 'XLU')
  AND expiration_date >= toDate('2026-07-16')
  AND expiration_date <= toDate('2026-07-31')
GROUP BY underlying_symbol
ORDER BY expirations_listed DESC, traded_millions DESC
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