STRASMORE/EXPLORE 3,127 QUERIES

The same stock, quoted venue by venue: AAPL spreads by exchange

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 2026-10-06, from Limit Orders on Crypto Exchanges vs Stocks.

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The same stock, quoted venue by venue: AAPL spreads by exchange — 3 rows by 4 columns, computed from US exchange, SIP and OPRA data.
venueavg_spread_bpstightest_spread_bpsquote_updates
Nasdaq0.750.31360
NYSE Arca, Inc.0.890.3338
Investors Exchange1.060.374
Rows × columns
3 × 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 The same stock, quoted venue by venue: AAPL spreads by exchange, derived from the stored result.
ColumnTypeRangeNotes
venue text 3 distinct values
avg_spread_bps number 0.75 to 1.06
tightest_spread_bps number every row is 0.3
quote_updates number 74 to 1,360

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
    coalesce(nullIf(ex.acronym, ''), ex.name)                                   AS venue,
    round(avg(10000 * (toFloat64(q.ask_price) - toFloat64(q.bid_price))
              / ((toFloat64(q.ask_price) + toFloat64(q.bid_price)) / 2)), 2)    AS avg_spread_bps,
    round(min(10000 * (toFloat64(q.ask_price) - toFloat64(q.bid_price))
              / ((toFloat64(q.ask_price) + toFloat64(q.bid_price)) / 2)), 2)    AS tightest_spread_bps,
    count()                                                                     AS quote_updates
FROM global_markets.cache_stocks_quotes AS q
INNER JOIN global_markets.stocks_exchanges AS ex
    ON toUInt32(ex.id) = toUInt32(q.bid_exchange)
WHERE q.ticker = 'AAPL'
  AND q.sip_timestamp >= '2026-09-23 18:30:00'
  AND q.sip_timestamp <  '2026-09-23 18:35:00'
  AND q.bid_exchange = q.ask_exchange
  AND toFloat64(q.bid_price) > 0
  AND toFloat64(q.ask_price) > toFloat64(q.bid_price)
GROUP BY venue
HAVING quote_updates > 50
ORDER BY avg_spread_bps
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