STRASMORE/EXPLORE 2,170 QUERIES

Daily options vs weekly options: upcoming expiration dates for six household tickers

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 2026-08-22, from Which Stocks Have Daily Options?.

as of ranking 6×3read in context →
Daily options vs weekly options: upcoming expiration dates for six household tickers — 6 rows by 3 columns, computed from US exchange, SIP and OPRA data.
rootupcoming_expirationscontracts_mm
SPY1614.8
QQQ1611.01
AAPL113.44
NVDA106.15
XOM60.48
KO60.13
Rows × columns
6 × 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 Daily options vs weekly options: upcoming expiration dates for six household tickers, derived from the stored result.
ColumnTypeRangeNotes
root text 6 distinct values (AAPL, KO, NVDA…)
upcoming_expirations number 6 to 16
contracts_mm number 0.13 to 14.8 count

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 root,
       uniqExact(expiry) AS upcoming_expirations,
       round(sum(vol) / 1e6, 2) AS contracts_mm
FROM (
    SELECT substring(ticker, 3, length(ticker) - 17) AS root,
           toDateOrNull(concat('20', substring(ticker, length(ticker) - 14, 6))) AS expiry,
           toFloat64(volume) AS vol
    FROM global_markets.options_minute_aggs
    WHERE window_start >= now() - INTERVAL 8 DAY
      AND (ticker LIKE 'O:SPY2%' OR ticker LIKE 'O:QQQ2%' OR ticker LIKE 'O:AAPL2%'
           OR ticker LIKE 'O:NVDA2%' OR ticker LIKE 'O:KO2%' OR ticker LIKE 'O:XOM2%')
)
WHERE expiry >= today() - 3
  AND expiry <= today() + INTERVAL 40 DAY
  AND root IN ('SPY', 'QQQ', 'AAPL', 'NVDA', 'KO', 'XOM')
GROUP BY root
ORDER BY upcoming_expirations DESC, contracts_mm DESC, root

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