STRASMORE/EXPLORE 2,170 QUERIES

SPY on March 9, 2020: the circuit-breaker session, receipted

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 COVID Crash 2020: Four Halts, Peak to Trough.

as of scalar 1×11read in context →
prior close
297.42
rth open
275.3
gap pct
-7.4
halt first missing et
09:35
halt missing minutes
14
rth low
273.45
low et
14:44
rth close
274.4
day change pct
-7.7
day shares m
304.6
rth minute bars
376
Rows × columns
1 × 11
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 SPY on March 9, 2020: the circuit-breaker session, receipted, derived from the stored result.
ColumnTypeRangeNotes
prior_close number every row is 297.42 US dollars
rth_open number every row is 275.3 US dollars
gap_pct number every row is -7.4 percent
halt_first_missing_et text 1 distinct value (09:35)
halt_missing_minutes number every row is 14
rth_low number every row is 273.45 US dollars
low_et text 1 distinct value (14:44)
rth_close number every row is 274.4 US dollars
day_change_pct number every row is -7.7 percent
day_shares_m number every row is 304.6 count
rth_minute_bars number every row is 376

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
    (
        SELECT argMaxIf(toFloat64(close), window_start, (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959)
        FROM global_markets.delayed_stocks_minute_aggs
        WHERE ticker = 'SPY'
          AND window_start >= toDateTime('2020-03-06 00:00:00') AND window_start < toDateTime('2020-03-09 04:00:00')
    ) AS prior_rth_close,
    (
        SELECT (formatDateTime(toTimeZone(addMinutes(prev_bar, 1), 'America/New_York'), '%H:%i'), gap_minutes - 1)
        FROM (
            SELECT
                lagInFrame(window_start) OVER (ORDER BY window_start ASC ROWS BETWEEN 1 PRECEDING AND CURRENT ROW) AS prev_bar,
                dateDiff('minute', prev_bar, window_start) AS gap_minutes
            FROM global_markets.delayed_stocks_minute_aggs
            WHERE ticker = 'SPY'
              AND window_start >= toDateTime('2020-03-09 04:00:00') AND window_start < toDateTime('2020-03-09 23:59:00')
              AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959
        )
        WHERE prev_bar > toDateTime('2020-03-09 00:00:00')
        ORDER BY gap_minutes DESC
        LIMIT 1
    ) AS halt_gap
SELECT
    round(prior_rth_close, 2) AS prior_close,
    round(toFloat64(argMinIf(open, window_start, (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959)), 2) AS rth_open,
    round((toFloat64(argMinIf(open, window_start, (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959)) / prior_rth_close - 1) * 100, 1) AS gap_pct,
    halt_gap.1 AS halt_first_missing_et,
    halt_gap.2 AS halt_missing_minutes,
    round(minIf(toFloat64(low), (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959), 2) AS rth_low,
    formatDateTime(toTimeZone(argMinIf(window_start, (toFloat64(low), toInt64(toUnixTimestamp(window_start))), (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959), 'America/New_York'), '%H:%i') AS low_et,
    round(toFloat64(argMaxIf(close, window_start, (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959)), 2) AS rth_close,
    round((toFloat64(argMaxIf(close, window_start, (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959)) / prior_rth_close - 1) * 100, 1) AS day_change_pct,
    round(toFloat64(sum(volume)) / 1e6, 1) AS day_shares_m,
    countIf((toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959) AS rth_minute_bars
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'SPY'
  AND window_start >= toDateTime('2020-03-09 04:00:00') AND window_start < toDateTime('2020-03-09 23:59:00')

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More from this analysisCOVID Crash 2020: Four Halts, Peak to Trough
The COVID crash, peak to trough to recovery: SPY daily closes, one row scalar 1×11 → 10-year and 3-month Treasury yields through the crash, daily closes series 31×3 → SPY by half-hour: March 9, 2020 regular session series 13×4 → SPY options: puts vs calls traded, March 2–13, 2020 (millions of contracts) series 10×4 → March 9 and full-crash moves: cruise, airline, energy, bank, tech, staples vs SPY ranking 7×3 → The four circuit-breaker sessions of March 2020: SPY close, change, volume series 4×4 → See all 2,170 queries →