STRASMORE/EXPLORE 2,749 QUERIES

trace_aapl

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.

as of series 84×4read in context →
trace_aapl — 84 rows by 4 columns, computed from US exchange, SIP and OPRA data.
datek_fast_pctk_slow_pctd_slow_pct
2026-05-0176.474.472
2026-05-0464.772.473.5
2026-05-0588.376.574.4
2026-05-0697.883.677.5
2026-05-0782.789.683.2
2026-05-0895.191.988.3
2026-05-119390.390.6
2026-05-1298.495.592.6
2026-05-1394.395.293.7
2026-05-1492.495.195.3
2026-05-1591.892.894.4
2026-05-1885.289.892.6
2026-05-1987.988.390.3
2026-05-2096.689.989.3
2026-05-2198.294.390.8
2026-05-2292.695.893.3
2026-05-2688.793.294.4
2026-05-2791.290.893.3
2026-05-2896.892.292.1
2026-05-2988.19291.7
2026-06-0161.382.188.8
2026-06-0298.982.885.6
2026-06-0369.776.680.5
2026-06-0474.180.980.1
2026-06-0556.466.774.7
2026-06-0824.751.766.4
2026-06-099.430.149.5
2026-06-10141632.6
2026-06-1127.516.921
2026-06-1212.51817
2026-06-1530.123.419.4
2026-06-1639.527.422.9
2026-06-1728.532.727.8
2026-06-1835.434.531.5
2026-06-2232.13233.1
2026-06-2323.130.232.2
2026-06-241924.729
2026-06-253.215.123.3
2026-06-262315.118.3
2026-06-2927.91816.1
2026-06-3054.435.122.7
2026-07-017251.434.8
2026-07-0297.874.753.8
2026-07-0696.288.671.6
2026-07-0788.494.185.8
2026-07-089593.292
2026-07-0999.394.293.9
2026-07-1096.396.994.8
2026-07-1387.694.495.2
2026-07-1482.788.993.4
2026-07-1597.889.490.9
2026-07-1697.792.790.3
2026-07-1797.797.793.3
2026-07-2084.593.394.6
2026-07-2184.288.893.3
2026-07-227882.288.1
2026-07-2352.471.580.8
2026-07-2492.974.476.1
2026-07-2791.87975
2026-07-2891.992.281.9
2026-07-2980.588.186.4
2026-07-3065.979.486.6
2026-07-312055.474.3
2026-08-037.731.255.4
2026-08-042116.234.3
2026-08-0524.717.821.7
2026-08-0627.824.519.5
2026-08-0729.927.523.3
2026-08-1018.525.425.8
2026-08-111119.824.2
2026-08-12511.518.9
2026-08-1311.89.313.5
2026-08-1413.310.110.3
2026-08-1712.512.510.6
2026-08-1828.918.213.6
2026-08-1987.342.924.6
2026-08-2054.456.939.3
2026-08-2144.562.154
2026-08-2449.649.556.2
2026-08-2547.347.252.9
2026-08-2665.354.150.3
2026-08-2771.161.354.2
2026-08-2887.874.763.4
2026-08-3174.777.871.3
Rows × columns
84 × 4
Period covered
to
Computed
Completeness
No missing values
Source
US exchange, SIP and OPRA market data
Licence
Strasmore terms · free, no signup
Formats
JSON · CSV · the SQL below

What each column holds

Column definitions for trace_aapl, derived from the stored result.
ColumnTypeRangeNotes
date date 2026-05-01 to 2026-08-31
k_fast_pct number 3.2 to 99.3 percent
k_slow_pct number 9.3 to 97.7 percent
d_slow_pct number 10.3 to 95.3 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
    bars AS (
        SELECT
            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 = 'AAPL'
          AND date >= '2026-02-01'
          AND date <  '2026-09-01'
        GROUP BY date
    ),
    ranges AS (
        SELECT
            date,
            close,
            count()   OVER w14 AS n14,
            max(high) OVER w14 AS hh14,
            min(low)  OVER w14 AS ll14
        FROM bars
        WINDOW w14 AS (ORDER BY date ROWS BETWEEN 13 PRECEDING AND CURRENT ROW)
    ),
    fast AS (
        SELECT
            date,
            if(hh14 > ll14, 100 * (close - ll14) / (hh14 - ll14), 50) AS k_fast
        FROM ranges
        WHERE n14 = 14
    ),
    slow AS (
        SELECT
            date,
            k_fast,
            avg(k_fast) OVER w3 AS k_slow,
            count()     OVER w3 AS n3
        FROM fast
        WINDOW w3 AS (ORDER BY date ROWS BETWEEN 2 PRECEDING AND CURRENT ROW)
    ),
    lines AS (
        SELECT
            date,
            k_fast,
            k_slow,
            avg(k_slow) OVER w3b AS d_slow,
            count()     OVER w3b AS n3b
        FROM slow
        WHERE n3 = 3
        WINDOW w3b AS (ORDER BY date ROWS BETWEEN 2 PRECEDING AND CURRENT ROW)
    )
SELECT
    date,
    round(k_fast, 1) AS k_fast_pct,
    round(k_slow, 1) AS k_slow_pct,
    round(d_slow, 1) AS d_slow_pct
FROM lines
WHERE n3b = 3
  AND date >= '2026-05-01'
ORDER BY date
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