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March 9 and full-crash moves: cruise, airline, energy, bank, tech, staples vs SPY

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 ranking 7×3read in context →
March 9 and full-crash moves: cruise, airline, energy, bank, tech, staples vs SPY — 7 rows by 3 columns, computed from US exchange, SIP and OPRA data.
tickermar9_pctcrash_pct
CCL-19.9-72.3
UAL-10.4-66.9
XOM-12.2-47.9
JPM-13.7-42.6
SPY-7.7-34.2
AAPL-7.9-31
WMT-0.1-2.9
Rows × columns
7 × 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 March 9 and full-crash moves: cruise, airline, energy, bank, tech, staples vs SPY, derived from the stored result.
ColumnTypeRangeNotes
ticker text 7 distinct values (AAPL, CCL, JPM…)
mar9_pct number -19.9 to -0.1 percent
crash_pct number -72.3 to -2.9 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 dailies AS (
    SELECT
        ticker,
        toDate(toTimeZone(window_start, 'America/New_York')) AS d,
        argMaxIf(toFloat64(close), window_start, (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959) AS c
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker IN ('UAL', 'CCL', 'XOM', 'JPM', 'AAPL', 'WMT', 'SPY')
      AND window_start >= toDateTime('2020-02-18 00:00:00') AND window_start < toDateTime('2020-03-25 00:00:00')
    GROUP BY ticker, d
)
SELECT
    ticker,
    round((anyIf(c, d = toDate('2020-03-09')) / anyIf(c, d = toDate('2020-03-06')) - 1) * 100, 1) AS mar9_pct,
    round((anyIf(c, d = toDate('2020-03-23')) / anyIf(c, d = toDate('2020-02-19')) - 1) * 100, 1) AS crash_pct
FROM dailies
GROUP BY ticker
ORDER BY crash_pct ASC

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