After the reversal: when QQQ broke the invasion-day low, and how far it fell
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 Feb 24, 2022: War at the Open, Green by Close.
invasion close
340.65
invasion low
318.26
first close below invasion low
2022-03-14
calendar days to new low
18
march low close
318.21
march low date
2022-03-14
march low vs invasion close pct
-6.6
year low close
260.02
year low date
2022-12-28
year low vs invasion close pct
-23.7
- Rows × columns
- 1 × 10
- 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 |
|---|---|---|---|
invasion_close |
number | every row is 340.65 | US dollars |
invasion_low |
number | every row is 318.26 | US dollars |
first_close_below_invasion_low |
date | 2022-03-14 | |
calendar_days_to_new_low |
number | every row is 18 | US dollars |
march_low_close |
number | every row is 318.21 | US dollars |
march_low_date |
date | 2022-03-14 | |
march_low_vs_invasion_close_pct |
number | every row is -6.6 | percent |
year_low_close |
number | every row is 260.02 | US dollars |
year_low_date |
date | 2022-12-28 | |
year_low_vs_invasion_close_pct |
number | every row is -23.7 | 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
daily AS (
SELECT
toDate(toTimeZone(window_start, 'America/New_York')) AS d,
round(argMaxIf(toFloat64(close), window_start, (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959), 2) AS c
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'QQQ'
AND window_start >= toDateTime('2022-02-24 04:00:00') AND window_start < toDateTime('2023-01-01 00:00:00')
GROUP BY d
),
(SELECT c FROM daily WHERE d = toDate('2022-02-24')) AS invasion_close,
(
SELECT round(minIf(toFloat64(low), (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959), 2)
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'QQQ'
AND window_start >= toDateTime('2022-02-24 04:00:00') AND window_start < toDateTime('2022-02-24 23:59:00')
) AS invasion_low
SELECT
invasion_close,
invasion_low,
toString(minIf(d, c < invasion_low AND d > toDate('2022-02-24'))) AS first_close_below_invasion_low,
dateDiff('day', toDate('2022-02-24'), minIf(d, c < invasion_low AND d > toDate('2022-02-24'))) AS calendar_days_to_new_low,
round(minIf(c, d BETWEEN toDate('2022-02-25') AND toDate('2022-03-31')), 2) AS march_low_close,
toString(argMinIf(d, (c, d), d BETWEEN toDate('2022-02-25') AND toDate('2022-03-31'))) AS march_low_date,
round((minIf(c, d BETWEEN toDate('2022-02-25') AND toDate('2022-03-31')) / invasion_close - 1) * 100, 1) AS march_low_vs_invasion_close_pct,
round(minIf(c, d > toDate('2022-02-24')), 2) AS year_low_close,
toString(argMinIf(d, (c, d), d > toDate('2022-02-24'))) AS year_low_date,
round((minIf(c, d > toDate('2022-02-24')) / invasion_close - 1) * 100, 1) AS year_low_vs_invasion_close_pct
FROM daily
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