STRASMORE/EXPLORE 3,094 QUERIES

How often a resting limit was reached, by distance from the prior close (SPY, 2021 to Sep 2026)

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 2026-10-05, from Buy Limit vs Sell Limit Orders Explained.

as of ranking 6×3read in context →
How often a resting limit was reached, by distance from the prior close (SPY, 2021 to Sep 2026) — 6 rows by 3 columns, computed from US exchange, SIP and OPRA data.
limit_distancebuy_limit_touched_pctsell_limit_touched_pct
0.2560.768.8
0.544.148.1
123.222.2
1.512.410.7
25.84.7
31.51.1
Rows × columns
6 × 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 How often a resting limit was reached, by distance from the prior close (SPY, 2021 to Sep 2026), derived from the stored result.
ColumnTypeRangeNotes
limit_distance number 0.25 to 3
buy_limit_touched_pct number 1.5 to 60.7 percent
sell_limit_touched_pct number 1.1 to 68.8 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.

Run it yourself

This is the exact query behind the result above. Change a ticker, a date or a column and run it against the warehouse — no account, no key. The no-signup tier is smaller than the one this page was computed on; a query that reaches past it comes back saying which plan runs it.

WITH daily AS
(
    SELECT
        date,
        toFloat64(any(close)) AS close,
        toFloat64(min(low))   AS low,
        toFloat64(max(high))  AS high
    FROM global_markets.stocks_daily_aggs
    WHERE ticker = 'SPY'
      AND date >= '2021-01-01'
      AND date <  '2026-10-01'
    GROUP BY date
),
framed AS
(
    SELECT
        date,
        low,
        high,
        lagInFrame(close, 1) OVER (ORDER BY date ROWS BETWEEN 1 PRECEDING AND CURRENT ROW) AS prior_close
    FROM daily
)
SELECT
    limit_distance,
    round(100 * countIf(low  <= prior_close * (1 - limit_distance / 100)) / count(), 1) AS buy_limit_touched_pct,
    round(100 * countIf(high >= prior_close * (1 + limit_distance / 100)) / count(), 1) AS sell_limit_touched_pct
FROM
(
    SELECT
        low,
        high,
        prior_close,
        arrayJoin([0.25, 0.5, 1.0, 1.5, 2.0, 3.0]) AS limit_distance
    FROM framed
    WHERE prior_close > 0
)
GROUP BY limit_distance
ORDER BY limit_distance
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