Can a Death Cross Be Bullish? The SPY Record
The window and the cross counts behind the textscalar ·
2026-10-04 · 1×115,803
Each SPY death cross and the golden cross that ended itranking ·
2026-10-04 · 11×4
SPY close versus its 50-day and 200-day averages, February to July 2020series ·
2026-10-04 · 126×4
Forward record after a SPY death cross, by horizontable ·
2026-10-04 · 4×9
Every SPY death cross in the daily data, with forward returnstable ·
2026-10-04 · 11×6
The 2020 peak, low, death cross and golden cross, dated from the same barsscalar ·
2026-10-04 · 1×16338.34
Do Volume Indicators Predict Anything?
OBV and VPT rebuilt from daily closes and volume, AAPL, Q2 2026series ·
2026-10-01 · 62×4
Forward returns after an OBV divergence vs matched confirmation daystable ·
2026-10-01 · 3×7
Divergence gap in 20-session forward return across four lookbackstable ·
2026-10-01 · 4×5
20-session OBV change vs trailing and forward returns, by tickerranking ·
2026-10-01 · 10×4
What Is the TTM Squeeze? Formula and Limits
Bollinger width against Keltner width, KO, first quarter 2026series ·
2026-09-27 · 61×5
Share of sessions in a squeeze, six liquid names, three yearsranking ·
2026-09-27 · 6×3
Squeeze sessions found by each parameter set, KO, three yearsranking ·
2026-09-27 · 6×3
What the next ten sessions did, squeeze against no squeezeranking ·
2026-09-27 · 2×4
Anchored VWAP Explained: Formula and Uses
How much the newest session can move an anchored VWAP (AAPL)ranking ·
2026-08-07 · 13×2
Anchored at each name's own lowest close of the past twelve monthstable ·
2026-08-07 · 5×5
Daily session VWAP against a VWAP anchored on one date (AAPL)series ·
2026-08-07 · 62×4
The same stock and the same last price, twelve different anchors (AAPL)ranking ·
2026-08-07 · 12×3
Do Stock Gaps Always Get Filled? The Data
Average one-minute range and volume by time of day, 2025series ·
2026-08-06 · 26×3
Same-session gap fill rate by gap size, eight large caps, 2021 to 2026ranking ·
2026-08-06 · 5×3
Gap fill rate by how heavy the gap day's volume wasranking ·
2026-08-06 · 3×4
Share of 1%+ gaps filled, by how long you waitranking ·
2026-08-06 · 4×3
The window and the cross counts behind the text
The window and the cross counts behind the text
first session
Sep 10, 2003
last session
Oct 2, 2026
session count
5,803
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
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
More from this analysisCan a Death Cross Be Bullish? The SPY Record
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scalar 1×16
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