STRASMORE/EXPLORE 3,127 QUERIES

One session, two tapes: every options NBBO update vs. every stock NBBO update

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 2026-10-04, from How Big Is the OPRA Options Quote Feed?.

as of scalar 1×9read in context →
session date
2026-09-29
option quote updates bn
7.99
stock quote updates m
469
stock symbols quoted
13,228
option to stock ratio
17
option trades m
9.8
option contracts traded k
310
quote updates per trade
812
avg updates per second k
329
Rows × columns
1 × 9
Period covered
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 One session, two tapes: every options NBBO update vs. every stock NBBO update, derived from the stored result.
ColumnTypeRangeNotes
session_date date 2026-09-29
option_quote_updates_bn number every row is 7.99
stock_quote_updates_m number every row is 469
stock_symbols_quoted number every row is 13,228
option_to_stock_ratio number every row is 17 ratio or rate
option_trades_m number every row is 9.8 count
option_contracts_traded_k number every row is 310 count
quote_updates_per_trade number every row is 812
avg_updates_per_second_k number every row is 329

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 (
    SELECT max(toDate(toTimeZone(window_start, 'America/New_York')))
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'SPY'
      AND window_start >= toDateTime(today() - 10)
      AND window_start < toDateTime(today() - 4)
) AS session_day,
(
    SELECT (count(), uniqExact(ticker))
    FROM global_markets.cache_stocks_quotes
    WHERE sip_timestamp >= toDateTime(session_day)
      AND sip_timestamp < toDateTime(session_day + 1)
) AS stock_tape,
(
    SELECT (count(), uniqExact(ticker))
    FROM global_markets.options_trades
    WHERE sip_timestamp >= toDateTime(session_day)
      AND sip_timestamp < toDateTime(session_day + 1)
) AS option_trades_t,
(
    SELECT toUInt32(max(sip_timestamp)) - toUInt32(min(sip_timestamp))
    FROM global_markets.cache_options_quotes
    WHERE ticker >= 'O:SPY26' AND ticker < 'O:SPY27'
      AND sip_timestamp >= toDateTime(session_day)
      AND sip_timestamp < toDateTime(session_day + 1)
) AS spy_span_seconds
SELECT
    toString(session_day) AS session_date,
    round(count() / 1e9, 2) AS option_quote_updates_bn,
    round(stock_tape.1 / 1e6, 0) AS stock_quote_updates_m,
    stock_tape.2 AS stock_symbols_quoted,
    round(count() / stock_tape.1, 1) AS option_to_stock_ratio,
    round(option_trades_t.1 / 1e6, 1) AS option_trades_m,
    round(option_trades_t.2 / 1e3, 0) AS option_contracts_traded_k,
    round(count() / option_trades_t.1, 0) AS quote_updates_per_trade,
    round(count() / spy_span_seconds / 1e3, 0) AS avg_updates_per_second_k
FROM global_markets.cache_options_quotes
WHERE sip_timestamp >= toDateTime(session_day)
  AND sip_timestamp < toDateTime(session_day + 1)
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