STRASMORE/EXPLORE 2,170 QUERIES 22Y EQUITIES · 12Y OPTIONS

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Does Modifying an Order Lose Queue Priority?
How often the quoted spread sits at a single cent (10 June 2026 session)ranking · 2026-08-14 · 6×3Preview: 6 ranked values, smallest first. Share of one minute windows carrying at least N shares (June 2026)ranking · 2026-08-14 · 9×3Preview: 9 ranked values, smallest first. How fast the tape drains a queue, by time of day (AAPL, June 2026)series · 2026-08-14 · 26×3Preview: a 16-point series, ending lower. Distinct best bid prices per quarter hour (AAPL and KO, 10 June 2026)series · 2026-08-14 · 26×3Preview: a 16-point series, ending lower.
MBO vs MBP Order Book Data Explained
Trade size mix in the same window (AAPL, 10:00 to 10:30 a.m. ET, June 16, 2026)ranking · 2026-08-12 · 5×4Preview: 5 ranked values, largest first. What changed between consecutive top-of-book messages (AAPL, 10:00 to 10:30 a.m. ET, June 16, 2026)ranking · 2026-08-12 · 4×3Preview: 4 ranked values, smallest first. Top-of-book messages against prints, 10:00 to 10:30 a.m. ET, June 16, 2026ranking · 2026-08-12 · 5×4Preview: 5 ranked values, largest first.
How to Estimate Queue Position From L2 Data
How AAPL prints break down by trade size, June 10 2026ranking · 2026-08-12 · 5×3Preview: 5 ranked values, largest first. Average quoted spread and time at a one cent spread, midday June 10 2026ranking · 2026-08-12 · 6×3Preview: 6 ranked values, smallest first. Top of book messages against prints on the tape, AAPL, June 10 2026series · 2026-08-12 · 8×4Preview: a 8-point series, ending higher. The best bid and the price levels it visited, AAPL, 15 minute bucketsseries · 2026-08-12 · 24×3Preview: a 16-point series, ending lower.
Quote-Driven vs Order-Driven Markets
Quoted spread and displayed size at the NBBO, one June 2026 hourranking · 2026-08-11 · 5×3Preview: 5 ranked values, smallest first. AAPL option trade sizes, one June 2026 sessionranking · 2026-08-11 · 5×4Preview: 5 ranked values, largest first. Share of consolidated volume reported off exchange, by monthseries · 2026-08-11 · 12×5Preview: a 12-point series, ending higher. How US share volume concentrates across symbols, May 2026ranking · 2026-08-11 · 5×4Preview: 5 ranked values, largest first.
Price-Time Priority vs Pro-Rata Fills
Quote updates per second and average quoted spread, ten minutes on 17 June 2026ranking · 2026-08-08 · 5×3Preview: 5 ranked values, largest first. Average shares per trade print, June 2026ranking · 2026-08-08 · 8×2Preview: 8 ranked values, largest first. AAPL option prints by contract count, 17 June 2026ranking · 2026-08-08 · 5×2Preview: 5 ranked values, largest first. AAPL trade prints by share count, 17 June 2026ranking · 2026-08-08 · 5×2Preview: 5 ranked values, largest first.
Level 1 vs Level 2 vs Level 3 Market Data
Executed volume by price level: the traded ladder (KO, 30 minutes)table · 2026-08-07 · 63×3 Level 1 top of book: quoted spread across a full session (AAPL, June 17 2026)series · 2026-08-07 · 32×3Preview: a 16-point series, ending lower. Top-of-book message rate, minute by minute (NVDA, one hour)series · 2026-08-07 · 60×3Preview: a 16-point series, roughly flat. Top-of-book spread and quote message count by name (10:00 to 11:00 a.m. ET)ranking · 2026-08-07 · 5×3Preview: 5 ranked values, smallest first.
How often the quoted spread sits at a single cent (10 June 2026 session)

How often the quoted spread sits at a single cent (10 June 2026 session)

most recentas of ranking 6×3read in context →
How often the quoted spread sits at a single cent (10 June 2026 session) — 6 rows by 3 columns, computed from US exchange, SIP and OPRA data.
symbolavg_spread_centsone_tick_wide_pct
NFLX1.381.4
KO1.3174.2
NVDA2.612.3
AAPL3.3610.5
SPY2.8510
COST77.530.2
the exact SQL behind every number
SELECT
    ticker                                                                                  AS symbol,
    round(avg(toFloat64(ask_price) - toFloat64(bid_price)) * 100, 2)                        AS avg_spread_cents,
    round(100 * countIf(toFloat64(ask_price) - toFloat64(bid_price) <= 0.0105) / count(), 1) AS one_tick_wide_pct
FROM global_markets.cache_stocks_quotes
WHERE ticker IN ('AAPL', 'KO', 'SPY', 'NVDA', 'COST', 'NFLX')
  AND sip_timestamp >= '2026-06-10 13:30:00'
  AND sip_timestamp <  '2026-06-10 20:00:00'
  AND bid_price > 0
  AND ask_price > bid_price
  AND toFloat64(ask_price) - toFloat64(bid_price) < 5
GROUP BY ticker
ORDER BY one_tick_wide_pct DESC
$