signal_frequency
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 2026-09-28, from stochastic-oscillator-explained.
| year | cross_down_80_count | cross_up_20_count |
|---|---|---|
| 2016 | 231 | 140 |
| 2017 | 206 | 134 |
| 2018 | 212 | 163 |
| 2019 | 260 | 119 |
| 2020 | 236 | 155 |
| 2021 | 219 | 154 |
| 2022 | 212 | 200 |
| 2023 | 234 | 159 |
| 2024 | 244 | 151 |
| 2025 | 223 | 168 |
| 2026 | 117 | 112 |
- Rows × columns
- 11 × 3
- 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 |
|---|---|---|---|
year |
number | 2,016 to 2,026 | |
cross_down_80_count |
number | 117 to 260 | count |
cross_up_20_count |
number | 112 to 200 | count |
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
bars AS (
SELECT
ticker,
date,
argMax(toFloat64(close), _ingest_time) AS close,
argMax(toFloat64(high), _ingest_time) AS high,
argMax(toFloat64(low), _ingest_time) AS low
FROM global_markets.stocks_daily_aggs
WHERE ticker IN ('AAPL','MSFT','NVDA','AMZN','GOOGL','META','JPM','JNJ','XOM','PG','KO','WMT','HD','UNH','CVX','PEP','MRK','CSCO','ORCL','MCD')
AND date >= '2015-01-01'
AND date < '2026-09-01'
GROUP BY ticker, date
),
ranges AS (
SELECT
ticker, date, close,
count() OVER w14 AS n14,
max(high) OVER w14 AS hh14,
min(low) OVER w14 AS ll14
FROM bars
WINDOW w14 AS (PARTITION BY ticker ORDER BY date ROWS BETWEEN 13 PRECEDING AND CURRENT ROW)
),
fast AS (
SELECT
ticker, date, close,
if(hh14 > ll14, 100 * (close - ll14) / (hh14 - ll14), 50) AS k_fast
FROM ranges
WHERE n14 = 14
),
slow AS (
SELECT
ticker, date, close,
avg(k_fast) OVER w3 AS k_slow,
count() OVER w3 AS n3
FROM fast
WINDOW w3 AS (PARTITION BY ticker ORDER BY date ROWS BETWEEN 2 PRECEDING AND CURRENT ROW)
),
fwd AS (
SELECT
ticker, date, close, k_slow,
lagInFrame(k_slow, 1) OVER wl AS k_prev,
leadInFrame(close, 20) OVER wf AS c20
FROM slow
WHERE n3 = 3
WINDOW
wl AS (PARTITION BY ticker ORDER BY date ROWS BETWEEN 1 PRECEDING AND CURRENT ROW),
wf AS (PARTITION BY ticker ORDER BY date ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING)
)
SELECT
toYear(date) AS year,
countIf((k_prev >= 80) AND (k_slow < 80)) AS cross_down_80_count,
countIf((k_prev <= 20) AND (k_slow > 20)) AS cross_up_20_count
FROM fwd
WHERE date >= '2016-01-01'
AND c20 > 0
GROUP BY year
ORDER BY year
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