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Median quoted spread in basis points, regular hours: index ETFs, megacaps, and the memory names

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 2026-07-26, from Market Recap: July 2, 2026, The Day in Numbers.

as of table 8×6read in context →
Median quoted spread in basis points, regular hours: index ETFs, megacaps, and the memory names — 8 rows by 6 columns, computed from US exchange, SIP and OPRA data.
tickermedian_spread_bpsmedian_spread_centstimes_the_spy_spreadrth_updates_minvalid_quotes_dropped
SPY0.27214.9819064
QQQ0.8363.16.035934
NVDA1.0323.82.5520398
AAPL1.62561.915193
TSLA2.2998.50.852699
MU5.525520.40.922442
SNDK10.418938.50.26163
WDC10.7960400.1483
Rows × columns
8 × 6
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 in basis points, regular hours: index ETFs, megacaps, and the memory names, derived from the stored result.
ColumnTypeRangeNotes
ticker text 8 distinct values (AAPL, MU, NVDA…)
median_spread_bps number 0.27 to 10.79
median_spread_cents number 2 to 189
times_the_spy_spread number 1 to 40
rth_updates_m number 0.14 to 6.03
invalid_quotes_dropped number 83 to 20,398

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
    ticker,
    round(med_bps, 2) AS median_spread_bps,
    round(med_dollars * 100, 1) AS median_spread_cents,
    round(med_bps / min(med_bps) OVER (), 1) AS times_the_spy_spread,
    round(quote_updates / 1e6, 2) AS rth_updates_m,
    invalid_quotes_dropped
FROM (
    SELECT
        ticker,
        quantileExactIf(0.5)((toFloat64(ask_price) - toFloat64(bid_price)) / ((toFloat64(ask_price) + toFloat64(bid_price)) / 2) * 10000,
                             toFloat64(bid_price) > 0 AND toFloat64(ask_price) > toFloat64(bid_price)) AS med_bps,
        quantileExactIf(0.5)(toFloat64(ask_price) - toFloat64(bid_price),
                             toFloat64(bid_price) > 0 AND toFloat64(ask_price) > toFloat64(bid_price)) AS med_dollars,
        count() AS quote_updates,
        countIf(NOT (toFloat64(bid_price) > 0 AND toFloat64(ask_price) > toFloat64(bid_price))) AS invalid_quotes_dropped
    FROM global_markets.cache_stocks_quotes
    WHERE ticker IN ('SPY', 'QQQ', 'AAPL', 'TSLA', 'NVDA', 'MU', 'SNDK', 'WDC')
      AND sip_timestamp >= '2026-07-02 13:30:00' AND sip_timestamp < '2026-07-02 20:00:00'
    GROUP BY ticker
)
ORDER BY median_spread_bps ASC

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