covid_2020
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 2026-09-13, from can-a-death-cross-be-bullish.
peak day
Feb 19, 2020
peak close
338.34
low day
Mar 23, 2020
low close
222.95
cross day
Mar 30, 2020
cross close
261.65
golden day
Jul 9, 2020
golden close
314.38
peak to low drop pct
34.1
sessions peak to low
23
sessions low to cross
5
low to cross gain pct
17.4
cross off peak pct
22.7
sessions cross to golden
70
cross to golden gain pct
20.2
fwd 12m pct
50.9
- Rows × columns
- 1 × 16
- 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 |
|---|---|---|---|
peak_day |
text | 1 distinct value (Feb 19, 2020) | |
peak_close |
number | every row is 338.34 | US dollars |
low_day |
text | 1 distinct value (Mar 23, 2020) | |
low_close |
number | every row is 222.95 | US dollars |
cross_day |
text | 1 distinct value (Mar 30, 2020) | |
cross_close |
number | every row is 261.65 | US dollars |
golden_day |
text | 1 distinct value (Jul 9, 2020) | |
golden_close |
number | every row is 314.38 | US dollars |
peak_to_low_drop_pct |
number | every row is 34.1 | percent |
sessions_peak_to_low |
number | every row is 23 | US dollars |
sessions_low_to_cross |
number | every row is 5 | US dollars |
low_to_cross_gain_pct |
number | every row is 17.4 | percent |
cross_off_peak_pct |
number | every row is 22.7 | percent |
sessions_cross_to_golden |
number | every row is 70 | |
cross_to_golden_gain_pct |
number | every row is 20.2 | percent |
fwd_12m_pct |
number | every row is 50.9 | 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
bars AS
(
SELECT
date,
toFloat64(argMax(close, _ingest_time)) AS px
FROM global_markets.stocks_daily_aggs
WHERE ticker = 'SPY'
GROUP BY date
),
smas AS
(
SELECT
date,
px,
row_number() OVER (ORDER BY date) AS rn,
avg(px) OVER (ORDER BY date ROWS BETWEEN 49 PRECEDING AND CURRENT ROW) AS avg_50,
avg(px) OVER (ORDER BY date ROWS BETWEEN 199 PRECEDING AND CURRENT ROW) AS avg_200,
max(px) OVER (ORDER BY date ROWS BETWEEN 251 PRECEDING AND CURRENT ROW) AS high_1y,
leadInFrame(px, 21) OVER (ORDER BY date ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS px_1m,
leadInFrame(px, 63) OVER (ORDER BY date ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS px_3m,
leadInFrame(px, 126) OVER (ORDER BY date ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS px_6m,
leadInFrame(px, 252) OVER (ORDER BY date ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS px_12m
FROM bars
),
states AS
(
SELECT
*,
(avg_50 < avg_200) AS below,
lagInFrame((avg_50 < avg_200), 1) OVER (ORDER BY date ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS prev_below
FROM smas
),
flags AS
(
SELECT
*,
(rn >= 201 AND below = 1 AND prev_below = 0) AS is_death,
(rn >= 201 AND below = 0 AND prev_below = 1) AS is_golden
FROM states
),
cross_row AS
(
SELECT date AS cross_date, px AS cross_px, rn AS cross_rn, px_12m AS cross_px_12m
FROM flags
WHERE is_death
AND date BETWEEN toDate('2020-02-01') AND toDate('2020-05-31')
ORDER BY date
LIMIT 1
),
golden_row AS
(
SELECT date AS golden_date, px AS golden_px, rn AS golden_rn
FROM flags
WHERE is_golden
AND date BETWEEN toDate('2020-04-01') AND toDate('2020-12-31')
ORDER BY date
LIMIT 1
),
peak_row AS
(
SELECT date AS peak_date, px AS peak_px, rn AS peak_rn
FROM flags
WHERE date BETWEEN toDate('2020-01-01') AND toDate('2020-03-31')
ORDER BY px DESC
LIMIT 1
),
low_row AS
(
SELECT date AS low_date, px AS low_px, rn AS low_rn
FROM flags
WHERE date BETWEEN toDate('2020-02-01') AND toDate('2020-06-30')
ORDER BY px ASC
LIMIT 1
)
SELECT
concat(formatDateTime(peak_date, '%b'), ' ', toString(toDayOfMonth(peak_date)), ', ', toString(toYear(peak_date))) AS peak_day,
round(peak_px, 2) AS peak_close,
concat(formatDateTime(low_date, '%b'), ' ', toString(toDayOfMonth(low_date)), ', ', toString(toYear(low_date))) AS low_day,
round(low_px, 2) AS low_close,
concat(formatDateTime(cross_date, '%b'), ' ', toString(toDayOfMonth(cross_date)), ', ', toString(toYear(cross_date))) AS cross_day,
round(cross_px, 2) AS cross_close,
concat(formatDateTime(golden_date, '%b'), ' ', toString(toDayOfMonth(golden_date)), ', ', toString(toYear(golden_date))) AS golden_day,
round(golden_px, 2) AS golden_close,
round((1 - low_px / peak_px) * 100, 1) AS peak_to_low_drop_pct,
toInt64(low_rn) - toInt64(peak_rn) AS sessions_peak_to_low,
toInt64(cross_rn) - toInt64(low_rn) AS sessions_low_to_cross,
round((cross_px / low_px - 1) * 100, 1) AS low_to_cross_gain_pct,
round((1 - cross_px / peak_px) * 100, 1) AS cross_off_peak_pct,
toInt64(golden_rn) - toInt64(cross_rn) AS sessions_cross_to_golden,
round((golden_px / cross_px - 1) * 100, 1) AS cross_to_golden_gain_pct,
round((cross_px_12m / cross_px - 1) * 100, 1) AS fwd_12m_pct
FROM cross_row, peak_row, low_row, golden_row
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