STRASMORE/EXPLORE 3,256 QUERIES 22Y EQUITIES · 12Y OPTIONS

3,256 answered market questions

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How Much Slippage to Assume in a Backtest
Distance from the prevailing mid by trade size, AAPL, one midday hourranking · 2026-10-08 · 5×3Preview: 5 ranked values, smallest first. A five cent concession as a share of premium, near-the-money SPY contracts by expiryranking · 2026-10-08 · 5×3Preview: 5 ranked values, smallest first. Quoted spread and the half spread floor, six household names, one midday hourranking · 2026-10-08 · 6×3Preview: 6 ranked values, largest first. A naive open-to-close yardstick, netted against a ladder of slippage assumptionsranking · 2026-10-08 · 6×4Preview: 6 ranked values, smallest first.
Trade Markouts Explained: Execution Quality
Effective spread split into realized spread and adverse selection, by half hourseries · 2026-08-15 · 13×5Preview: a 13-point series, ending lower. INTC markout curve, June 10 2026, measured from two reference basesranking · 2026-08-15 · 5×4Preview: 5 ranked values, largest first. The same curve, split by print size: small fills against blocksranking · 2026-08-15 · 5×4Preview: 5 ranked values, largest first.
Why Market Makers Lose Money: Adverse Selection
AAPL prints by distance from the midpoint: share of volume and 60 second markoutranking · 2026-08-13 · 4×3Preview: 4 ranked values, smallest first. How much of the spread survives: AAPL markout curve, 1 second to 5 minutesranking · 2026-08-13 · 6×3Preview: 6 ranked values, smallest first. AAPL fills by print size: credit at the fill and value 60 seconds laterranking · 2026-08-13 · 4×4Preview: 4 ranked values, largest first. How far the price travels while a position waits: SPY and NVDA, May 2026ranking · 2026-08-13 · 6×3Preview: 6 ranked values, smallest first.
Distance from the prevailing mid by trade size, AAPL, one midday hour

Distance from the prevailing mid by trade size, AAPL, one midday hour

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Distance from the prevailing mid by trade size, AAPL, one midday hour — 5 rows by 3 columns, computed from US exchange, SIP and OPRA data.
size_bucketavg_distance_bpspct_outside_touch
1 to 99 shares0.55214.31
100 to 4990.40114.21
500 to 9990.6316.91
1,000 to 4,9990.52315.38
5,000 or more4.63836.36
the exact SQL behind every number
WITH
    quotes AS
    (
        SELECT
            ticker,
            sip_timestamp,
            toFloat64(bid_price + ask_price) / 2 AS mid,
            toFloat64(ask_price - bid_price) / 2 AS half_spread
        FROM global_markets.cache_stocks_quotes
        WHERE ticker = 'AAPL'
          AND sip_timestamp >= toDateTime('2026-09-16 14:00:00', 'UTC')
          AND sip_timestamp <  toDateTime('2026-09-16 15:00:00', 'UTC')
          AND bid_price > 0
          AND ask_price > bid_price
    ),
    fills AS
    (
        SELECT
            ticker,
            sip_timestamp,
            toFloat64(price) AS fill_price,
            size
        FROM global_markets.stocks_trades
        WHERE ticker = 'AAPL'
          AND sip_timestamp >= toDateTime('2026-09-16 14:00:00', 'UTC')
          AND sip_timestamp <  toDateTime('2026-09-16 15:00:00', 'UTC')
          AND price > 0
          AND size > 0
    )
SELECT
    multiIf(f.size < 100,  '1 to 99 shares',
            f.size < 500,  '100 to 499',
            f.size < 1000, '500 to 999',
            f.size < 5000, '1,000 to 4,999',
                           '5,000 or more')                                      AS size_bucket,
    round(avg(abs(f.fill_price - q.mid) / q.mid) * 10000, 3)                      AS avg_distance_bps,
    round(100 * countIf(abs(f.fill_price - q.mid) > q.half_spread) / count(), 2)  AS pct_outside_touch
FROM fills AS f
ASOF JOIN quotes AS q ON f.ticker = q.ticker AND f.sip_timestamp >= q.sip_timestamp
GROUP BY size_bucket
ORDER BY min(f.size)
$