STRASMORE/EXPLORE 2,170 QUERIES

Effective spread against quoted spread by trade size, AAPL

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 2026-08-07, from Rule 605 vs 606: Execution Quality Reports.

as of ranking 4×4read in context →
Effective spread against quoted spread by trade size, AAPL — 4 rows by 4 columns, computed from US exchange, SIP and OPRA data.
size_bucketavg_quoted_spread_bpsavg_effective_spread_bpseq_over_q_pct
1 to 99 (odd lot)1.191.192.5
100 to 4991.10.654.6
500 to 1,9991.181.0286.4
2,000 and up1.21.41117.6
Rows × columns
4 × 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 Effective spread against quoted spread by trade size, AAPL, derived from the stored result.
ColumnTypeRangeNotes
size_bucket text 4 distinct values
avg_quoted_spread_bps number 1.1 to 1.2
avg_effective_spread_bps number 0.6 to 1.41
eq_over_q_pct number 54.6 to 117.6 percent

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.

the exact SQL behind every number
SELECT
    size_bucket,
    round(avg(quoted_bps), 2)                            AS avg_quoted_spread_bps,
    round(avg(effective_bps), 2)                         AS avg_effective_spread_bps,
    round(100 * avg(effective_bps) / avg(quoted_bps), 1) AS eq_over_q_pct
FROM
(
    SELECT
        multiIf(t.size < 100,  '1 to 99 (odd lot)',
                t.size < 500,  '100 to 499',
                t.size < 2000, '500 to 1,999',
                               '2,000 and up')                                AS size_bucket,
        multiIf(t.size < 100, 1, t.size < 500, 2, t.size < 2000, 3, 4)         AS bucket_order,
        10000 * (q.ask - q.bid) / ((q.ask + q.bid) / 2)                        AS quoted_bps,
        10000 * 2 * abs(t.price - ((q.ask + q.bid) / 2)) / ((q.ask + q.bid) / 2) AS effective_bps
    FROM
    (
        SELECT ticker, sip_timestamp, toFloat64(price) AS price, size
        FROM global_markets.stocks_trades
        WHERE ticker = 'AAPL'
          AND sip_timestamp >= '2026-06-17 14:00:00'
          AND sip_timestamp <  '2026-06-17 15:00:00'
          AND size > 0
          AND price > 0
    ) AS t
    ASOF JOIN
    (
        SELECT ticker, sip_timestamp, toFloat64(bid_price) AS bid, toFloat64(ask_price) AS ask
        FROM global_markets.cache_stocks_quotes
        WHERE ticker = 'AAPL'
          AND sip_timestamp >= '2026-06-17 13:45:00'
          AND sip_timestamp <  '2026-06-17 15:00:00'
          AND bid_price > 0
          AND ask_price > bid_price
    ) AS q
    ON t.ticker = q.ticker AND t.sip_timestamp >= q.sip_timestamp
)
WHERE effective_bps < 200 AND quoted_bps < 200
GROUP BY size_bucket, bucket_order
ORDER BY bucket_order

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