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Average quoted spread and time on the penny floor, pinned session

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 2026-08-13, from Half-Penny Tick Sizes Under Rule 612.

as of ranking 8×3read in context →
Average quoted spread and time on the penny floor, pinned session — 8 rows by 3 columns, computed from US exchange, SIP and OPRA data.
symbolavg_quoted_spread_centstime_at_penny_floor_pct
F199.8
PFE1.0299.1
NVDA1.1981.6
SPY1.2577.7
KO1.3571.5
AAPL1.568.9
MSFT9.195.1
GS69.550.3
Rows × columns
8 × 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 Average quoted spread and time on the penny floor, pinned session, derived from the stored result.
ColumnTypeRangeNotes
symbol text 8 distinct values (AAPL, F, GS…)
avg_quoted_spread_cents number 1 to 69.55
time_at_penny_floor_pct number 0.3 to 99.8 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
WITH per_second AS
(
    SELECT
        ticker,
        toDateTime(sip_timestamp)  AS quote_second,
        max(toFloat64(bid_price))  AS best_bid,
        min(toFloat64(ask_price))  AS best_ask
    FROM global_markets.cache_stocks_quotes
    WHERE ticker IN ('AAPL', 'MSFT', 'NVDA', 'SPY', 'KO', 'PFE', 'F', 'GS')
      AND sip_timestamp >= '2026-08-05 13:30:00'
      AND sip_timestamp <  '2026-08-05 20:00:00'
      AND bid_price > 0
      AND ask_price > 0
    GROUP BY ticker, quote_second
)
SELECT
    ticker                                                          AS symbol,
    round(avg(best_ask - best_bid) * 100, 2)                        AS avg_quoted_spread_cents,
    round(100 * countIf(best_ask - best_bid < 0.011) / count(), 1)  AS time_at_penny_floor_pct
FROM per_second
WHERE best_ask > best_bid
GROUP BY ticker
ORDER BY avg_quoted_spread_cents ASC

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