STRASMORE/EXPLORE 2,985 QUERIES

spread_compare

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 2026-10-03, from open-source-trading-terminal-for-python.

as of ranking 6×4read in context →
spread_compare — 6 rows by 4 columns, computed from US exchange, SIP and OPRA data.
symbolmedian_spread_bpsp90_spread_bpsquote_millions
SPY0.270.40.44
KO1.232.470.04
AAPL1.352.030.14
NVDA1.431.440.3
MSFT1.763.260.05
NVR75.7592.250
Rows × columns
6 × 4
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 spread_compare, derived from the stored result.
ColumnTypeRangeNotes
symbol text 6 distinct values (AAPL, KO, MSFT…)
median_spread_bps number 0.27 to 75.75
p90_spread_bps number 0.4 to 92.25
quote_millions number 0 to 0.44

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)(spread_bps, toUInt64(sequence_number)), 2) AS median_spread_bps,
    round(quantileDeterministic(0.9)(spread_bps, toUInt64(sequence_number)), 2) AS p90_spread_bps,
    round(count() / 1e6, 2)                                           AS quote_millions
FROM
(
    SELECT
        ticker,
        sequence_number,
        (toFloat64(ask_price) - toFloat64(bid_price))
            / ((toFloat64(ask_price) + toFloat64(bid_price)) / 2) * 10000 AS spread_bps
    FROM global_markets.cache_stocks_quotes
    WHERE ticker IN ('SPY', 'AAPL', 'MSFT', 'NVDA', 'KO', 'NVR')
      AND sip_timestamp >= '2026-06-15 14:00:00'
      AND sip_timestamp <  '2026-06-15 14:30:00'
      AND bid_price > 0
      AND ask_price > bid_price
)
GROUP BY ticker
ORDER BY median_spread_bps
⌘/Ctrl + Enter

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