konteks_tren
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 2026-10-01, from bearish-candlestick-patterns.
| tren_bucket | kejadian_count | turun_1_sesi_pct | turun_5_sesi_pct | turun_20_sesi_pct |
|---|---|---|---|---|
| 1. sepuluh sesi sebelumnya turun lebih dari 5% | 68 | 55.9 | 48.5 | 44.1 |
| 2. sepuluh sesi sebelumnya turun sampai 5% | 359 | 45.4 | 41.2 | 37 |
| 3. sepuluh sesi sebelumnya naik sampai 5% | 562 | 46.8 | 44.5 | 42 |
| 4. sepuluh sesi sebelumnya naik lebih dari 5% | 130 | 41.5 | 43.8 | 46.9 |
- Rows × columns
- 4 × 5
- 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 |
|---|---|---|---|
tren_bucket |
text | 4 distinct values | |
kejadian_count |
number | 68 to 562 | count |
turun_1_sesi_pct |
number | 41.5 to 55.9 | percent |
turun_5_sesi_pct |
number | 41.2 to 48.5 | percent |
turun_20_sesi_pct |
number | 37 to 46.9 | 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.
Run it yourself
This is the exact query behind the result above. Change a ticker, a date or a column and run it against the warehouse — no account, no key. The no-signup tier is smaller than the one this page was computed on; a query that reaches past it comes back saying which plan runs it.
WITH
harian AS (
SELECT ticker, date,
argMax(toFloat64(open), _ingest_time) AS o,
argMax(toFloat64(close), _ingest_time) AS c
FROM global_markets.stocks_daily_aggs
WHERE ticker IN ('AAPL', 'MSFT', 'JPM', 'JNJ', 'KO', 'PG', 'WMT', 'XOM')
AND date BETWEEN '2010-01-01' AND '2026-03-31'
GROUP BY ticker, date
),
pecahan AS (
SELECT ticker, groupArray(execution_date) AS tanggal
FROM global_markets.stocks_splits
WHERE ticker IN ('AAPL', 'MSFT', 'JPM', 'JNJ', 'KO', 'PG', 'WMT', 'XOM')
AND execution_date BETWEEN '2009-11-01' AND '2026-05-31'
GROUP BY ticker
),
bars AS (
SELECT ticker, date, o, c,
lagInFrame(o, 1) OVER w AS p1o,
lagInFrame(c, 1) OVER w AS p1c,
lagInFrame(c, 11) OVER w AS p11c,
leadInFrame(c, 1) OVER w AS f1c,
leadInFrame(c, 5) OVER w AS f5c,
leadInFrame(c, 20) OVER w AS f20c
FROM harian
WINDOW w AS (PARTITION BY ticker ORDER BY date ROWS BETWEEN 25 PRECEDING AND 20 FOLLOWING)
)
SELECT multiIf(100 * (b.p1c / b.p11c - 1) < -5, '1. sepuluh sesi sebelumnya turun lebih dari 5%',
100 * (b.p1c / b.p11c - 1) < 0, '2. sepuluh sesi sebelumnya turun sampai 5%',
100 * (b.p1c / b.p11c - 1) < 5, '3. sepuluh sesi sebelumnya naik sampai 5%',
'4. sepuluh sesi sebelumnya naik lebih dari 5%') AS tren_bucket,
count() AS kejadian_count,
round(100 * countIf(b.f1c < b.c) / count(), 1) AS turun_1_sesi_pct,
round(100 * countIf(b.f5c < b.c) / count(), 1) AS turun_5_sesi_pct,
round(100 * countIf(b.f20c < b.c) / count(), 1) AS turun_20_sesi_pct
FROM bars AS b
LEFT JOIN pecahan AS s ON s.ticker = b.ticker
WHERE b.date BETWEEN '2010-03-01' AND '2025-12-31'
AND b.p1c > b.p1o AND b.c < b.o AND b.o > b.p1c AND b.c < b.p1o
AND b.p11c > 0 AND b.f1c > 0 AND b.f5c > 0 AND b.f20c > 0
AND NOT arrayExists(d -> d > b.date - 30 AND d <= b.date + 45, s.tanggal)
GROUP BY tren_bucket
ORDER BY tren_bucket
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