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Median quoted spread by five minute bucket, SPY and AAPL, 10 March 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 2026-09-26, from The 10:00 AM Rule in Stocks, Tested.

as of series 12×3read in context →
Median quoted spread by five minute bucket, SPY and AAPL, 10 March 2026 — 12 rows by 3 columns, computed from US exchange, SIP and OPRA data.
et_timespy_spread_bpsaapl_spread_bps
09:300.442.71
09:350.442.31
09:400.442.32
09:450.442.71
09:500.442.32
09:550.32.32
10:000.441.94
10:050.441.93
10:100.31.54
10:150.31.54
10:200.31.54
10:250.31.15
Rows × columns
12 × 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 Median quoted spread by five minute bucket, SPY and AAPL, 10 March 2026, derived from the stored result.
ColumnTypeRangeNotes
et_time text 12 distinct values (09:30, 09:35, 09:40…)
spy_spread_bps number 0.3 to 0.44
aapl_spread_bps number 1.15 to 2.71

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
    formatDateTime(toStartOfFiveMinutes(toTimeZone(sip_timestamp, 'America/New_York')), '%H:%i') AS et_time,
    round(quantileDeterministicIf(0.5)(
        10000 * (toFloat64(ask_price) - toFloat64(bid_price))
              / ((toFloat64(ask_price) + toFloat64(bid_price)) / 2),
        toUInt64(sequence_number),
        ticker = 'SPY'), 2)  AS spy_spread_bps,
    round(quantileDeterministicIf(0.5)(
        10000 * (toFloat64(ask_price) - toFloat64(bid_price))
              / ((toFloat64(ask_price) + toFloat64(bid_price)) / 2),
        toUInt64(sequence_number),
        ticker = 'AAPL'), 2) AS aapl_spread_bps
FROM global_markets.cache_stocks_quotes
WHERE ticker IN ('SPY', 'AAPL')
  AND sip_timestamp >= '2026-03-10 13:29:00'
  AND sip_timestamp <  '2026-03-10 14:31:00'
  AND bid_price > 0
  AND ask_price > bid_price
  AND sequence_number >= 0
  AND (toHour(toTimeZone(sip_timestamp, 'America/New_York')) * 60
       + toMinute(toTimeZone(sip_timestamp, 'America/New_York'))) >= 570
  AND (toHour(toTimeZone(sip_timestamp, 'America/New_York')) * 60
       + toMinute(toTimeZone(sip_timestamp, 'America/New_York'))) < 630
GROUP BY et_time
HAVING countIf(ticker = 'SPY') > 0
   AND countIf(ticker = 'AAPL') > 0
ORDER BY et_time
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