window
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.
first session
Sep 10, 2003
last session
Sep 11, 2026
session count
5,788
median off high pct
10.2
min off high pct
5.2
max off high pct
22.7
death cross count
11
golden cross count
11
min sessions to golden
37
median sessions to golden
77
max sessions to golden
377
- Rows × columns
- 1 × 11
- 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 |
|---|---|---|---|
first_session |
text | 1 distinct value (Sep 10, 2003) | |
last_session |
text | 1 distinct value (Sep 11, 2026) | |
session_count |
number | every row is 5,788 | count |
median_off_high_pct |
number | every row is 10.2 | percent |
min_off_high_pct |
number | every row is 5.2 | percent |
max_off_high_pct |
number | every row is 22.7 | percent |
death_cross_count |
number | every row is 11 | count |
golden_cross_count |
number | every row is 11 | count |
min_sessions_to_golden |
number | every row is 37 | |
median_sessions_to_golden |
number | every row is 77 | |
max_sessions_to_golden |
number | every row is 377 |
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
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
),
events AS
(
SELECT date, rn, is_death
FROM flags
WHERE is_death OR is_golden
),
paired AS
(
SELECT
rn,
is_death,
leadInFrame(rn, 1) OVER (ORDER BY date ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS next_rn
FROM events
),
cross_stats AS
(
SELECT
countIf(is_death) AS death_cross_count,
countIf(NOT is_death) AS golden_cross_count,
minIf(toInt64(next_rn) - toInt64(rn), is_death AND next_rn > 0) AS min_sessions_to_golden,
quantileExactIf(toInt64(next_rn) - toInt64(rn), is_death AND next_rn > 0) AS median_sessions_to_golden,
maxIf(toInt64(next_rn) - toInt64(rn), is_death AND next_rn > 0) AS max_sessions_to_golden
FROM paired
),
span AS
(
SELECT
concat(formatDateTime(min(date), '%b'), ' ', toString(toDayOfMonth(min(date))), ', ', toString(toYear(min(date)))) AS first_session,
concat(formatDateTime(max(date), '%b'), ' ', toString(toDayOfMonth(max(date))), ', ', toString(toYear(max(date)))) AS last_session,
count() AS session_count,
round(quantileExactIf((1 - px / high_1y) * 100, is_death), 1) AS median_off_high_pct,
round(minIf((1 - px / high_1y) * 100, is_death), 1) AS min_off_high_pct,
round(maxIf((1 - px / high_1y) * 100, is_death), 1) AS max_off_high_pct
FROM flags
)
SELECT *
FROM span, cross_stats
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.