STRASMORE/EXPLORE 2,948 QUERIES

quoted_spread_cost

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 2026-10-02, from how-long-a-market-order-takes-to-fill.

as of ranking 5×3read in context →
quoted_spread_cost — 5 rows by 3 columns, computed from US exchange, SIP and OPRA data.
symbolmedian_spread_bpsp90_spread_bps
MSFT3.245.45
AAPL1.52.7
KO1.132.27
NVDA0.931.4
SPY0.260.39
Rows × columns
5 × 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 quoted_spread_cost, derived from the stored result.
ColumnTypeRangeNotes
symbol text 5 distinct values (AAPL, KO, MSFT…)
median_spread_bps number 0.26 to 3.24
p90_spread_bps number 0.39 to 5.45

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
    ticker AS symbol,
    round(quantileDeterministic(0.5)(
        10000 * (toFloat64(ask_price) - toFloat64(bid_price))
              / ((toFloat64(ask_price) + toFloat64(bid_price)) / 2),
        cityHash64(ticker, sequence_number)), 2)  AS median_spread_bps,
    round(quantileDeterministic(0.9)(
        10000 * (toFloat64(ask_price) - toFloat64(bid_price))
              / ((toFloat64(ask_price) + toFloat64(bid_price)) / 2),
        cityHash64(ticker, sequence_number)), 2)  AS p90_spread_bps
FROM global_markets.cache_stocks_quotes
WHERE ticker IN ('SPY', 'NVDA', 'AAPL', 'MSFT', 'KO')
  AND sip_timestamp >= toDateTime('2026-09-16 14:00:00', 'UTC')
  AND sip_timestamp <  toDateTime('2026-09-16 14:10:00', 'UTC')
  AND bid_price > 0
  AND ask_price > bid_price
GROUP BY ticker
HAVING count() > 100
ORDER BY median_spread_bps DESC
⌘/Ctrl + Enter

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