Did it hold? The retest that never came, and two recovery clocks
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 March 24, 2020: The Day the Market Turned.
feb19 ath close
338.31
mar23 bottom close
222.51
recovery date
2020-08-18
sessions to new high
103
days low to new high
148
round trip days
181
lowest close after
243.59
lowest close date
2020-03-24
closest retest pct
9.5
peak 2007 date
2007-10-09
recovery 2013 date
2013-03-14
round trip 2008 days
1,983
- Rows × columns
- 1 × 12
- Period covered
- 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 |
|---|---|---|---|
feb19_ath_close |
number | every row is 338.31 | US dollars |
mar23_bottom_close |
number | every row is 222.51 | US dollars |
recovery_date |
date | 2020-08-18 | |
sessions_to_new_high |
number | every row is 103 | US dollars |
days_low_to_new_high |
number | every row is 148 | US dollars |
round_trip_days |
number | every row is 181 | |
lowest_close_after |
number | every row is 243.59 | US dollars |
lowest_close_date |
date | 2020-03-24 | |
closest_retest_pct |
number | every row is 9.5 | percent |
peak_2007_date |
date | 2007-10-09 | |
recovery_2013_date |
date | 2013-03-14 | |
round_trip_2008_days |
number | every row is 1,983 |
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
SELECT
round(ath_close, 2) AS feb19_ath_close,
round(bottom_close, 2) AS mar23_bottom_close,
toString(rec_date) AS recovery_date,
countIf(et_date > toDate('2020-03-23') AND et_date <= rec_date) AS sessions_to_new_high,
dateDiff('day', toDate('2020-03-23'), rec_date) AS days_low_to_new_high,
dateDiff('day', toDate('2020-02-19'), rec_date) AS round_trip_days,
round(minIf(close_usd, et_date > toDate('2020-03-23') AND et_date <= rec_date), 2) AS lowest_close_after,
toString(argMinIf(et_date, (close_usd, et_date), et_date > toDate('2020-03-23') AND et_date <= rec_date)) AS lowest_close_date,
round((minIf(close_usd, et_date > toDate('2020-03-23') AND et_date <= rec_date) / bottom_close - 1) * 100, 1) AS closest_retest_pct,
toString(peak07_date) AS peak_2007_date,
toString(rec07_date) AS recovery_2013_date,
dateDiff('day', peak07_date, rec07_date) AS round_trip_2008_days
FROM (
SELECT
et_date, close_usd, ath_close, bottom_close, peak07_date,
min(if(et_date > toDate('2020-03-23') AND close_usd >= ath_close, et_date, toDate('2099-01-01'))) OVER () AS rec_date,
min(if(et_date >= toDate('2008-01-01') AND close_usd >= peak07_close, et_date, toDate('2099-01-01'))) OVER () AS rec07_date
FROM (
SELECT
et_date, close_usd,
max(if(et_date = toDate('2020-02-19'), close_usd, -999)) OVER () AS ath_close,
max(if(et_date = toDate('2020-03-23'), close_usd, -999)) OVER () AS bottom_close,
max(if(et_date >= toDate('2007-01-01') AND et_date < toDate('2008-01-01'), (close_usd, et_date), (-999., toDate('1970-01-01')))) OVER () .1 AS peak07_close,
max(if(et_date >= toDate('2007-01-01') AND et_date < toDate('2008-01-01'), (close_usd, et_date), (-999., toDate('1970-01-01')))) OVER () .2 AS peak07_date
FROM (
SELECT
toDate(toTimeZone(window_start, 'America/New_York')) AS et_date,
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 close_usd
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'SPY' AND window_start < toDateTime('2021-01-01 00:00:00')
GROUP BY et_date
HAVING close_usd > 0
)
)
)
GROUP BY ath_close, bottom_close, rec_date, peak07_date, rec07_date
Run your own version of this
The same 22 years of US equities and 12 years of options data are queryable in SQL or plain English. A free account runs 100 queries a day and takes no card.
More from this analysisMarch 24, 2020: The Day the Market Turned
March 24, 2020 ranked against every SPY session on the minute tape
scalar 1×11
→
SPY on March 24, 2020: the turn, receipted
scalar 1×11
→
SPY daily close, drawdown, and the 10-year yield: Feb 19 to Mar 23, 2020
series 24×4
→
SPY by half-hour: March 24, 2020 regular session
series 13×4
→
March 24, 2020 across index and sector ETFs: everything up, cyclicals first
ranking 12×4
→
SPY closes, March 23-26, 2020: the three-day burst
series 4×4
→
See all 2,170 queries →