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 2026-09-28, from COVID Crash 2020: Four Halts, Peak to Trough.
| ticker | mar9_pct | crash_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
What each column holds
| Column | Type | Range | Notes |
|---|---|---|---|
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.
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 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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