bos_by_name

Name: bos_by_name
Creator: Strasmore
Published: 2026-09-22
License: https://www.strasmore.com/terms/

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 2026-09-22, from market-structure-and-break-of-structure.

as of 2026-09-22 table 6×5read in context →

bos_by_name — 6 rows by 5 columns, computed 2026-09-22 from US exchange, SIP and OPRA data.
ticker	bos_events	continuation_pct	base_rate_pct	edge_pp
AAPL	70	64.3	56.7	7.6
SPY	82	61	62.2	-1.2
MSFT	74	54.1	55.5	-1.4
KO	73	53.4	55.6	-2.2
QQQ	73	57.5	60	-2.5
JPM	80	48.8	57.8	-9

Rows × columns: 6 × 5
Computed: 2026-09-22
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 bos_by_name, derived from the stored result.
Column	Type	Range	Notes
`ticker`	text	6 distinct values (AAPL, JPM, KO…)
`bos_events`	number	70 to 82
`continuation_pct`	number	48.8 to 64.3	percent
`base_rate_pct`	number	55.5 to 62.2	percent
`edge_pp`	number	-9 to 7.6

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 2026-09-22, 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
px AS
(
    SELECT
        ticker,
        date,
        toFloat64(high)  AS h,
        toFloat64(close) AS c
    FROM global_markets.stocks_daily_aggs
    WHERE ticker IN ('AAPL', 'JPM', 'KO', 'MSFT', 'QQQ', 'SPY')
      AND date >= '2021-01-01'
      AND date <  '2026-09-01'
),
sorted AS
(
    SELECT
        ticker,
        arraySort(x -> x.1, groupArray((date, h, c))) AS bars
    FROM px
    GROUP BY ticker
),
arrs AS
(
    SELECT
        ticker,
        arrayMap(x -> x.2, bars) AS highs,
        arrayMap(x -> x.3, bars) AS closes
    FROM sorted
),
pivots AS
(
    SELECT
        ticker,
        highs,
        closes,
        arrayJoin(arrayFilter(i ->
            (i > 3)
            AND (i <= length(highs) - 3)
            AND (highs[i] > arrayMax(arraySlice(highs, i - 3, 3)))
            AND (highs[i] > arrayMax(arraySlice(highs, i + 1, 3))),
            arrayEnumerate(highs))) AS pivot_i
    FROM arrs
),
breaks AS
(
    SELECT
        ticker,
        closes,
        pivot_i,
        highs[pivot_i] AS level,
        pivot_i + 3 + arrayFirstIndex(x -> x > highs[pivot_i], arraySlice(closes, pivot_i + 4, 30)) AS break_i
    FROM pivots
    WHERE arrayFirstIndex(x -> x > highs[pivot_i], arraySlice(closes, pivot_i + 4, 30)) > 0
),
events AS
(
    SELECT
        ticker,
        break_i,
        argMax(level, pivot_i) AS level,
        any(closes)            AS closes
    FROM breaks
    GROUP BY ticker, break_i
),
by_name AS
(
    SELECT
        ticker,
        count()                                                     AS bos_events,
        round(100 * avg(closes[break_i + 10] > closes[break_i]), 1) AS continuation_pct
    FROM events
    WHERE break_i + 10 <= length(closes)
    GROUP BY ticker
),
base AS
(
    SELECT
        ticker,
        round(100 * avg(closes[t + 10] > closes[t]), 1) AS base_rate_pct
    FROM
    (
        SELECT
            ticker,
            closes,
            arrayJoin(arrayEnumerate(closes)) AS t
        FROM arrs
    )
    WHERE t + 10 <= length(closes)
    GROUP BY ticker
)
SELECT
    e.ticker                                       AS ticker,
    e.bos_events                                   AS bos_events,
    e.continuation_pct                             AS continuation_pct,
    b.base_rate_pct                                AS base_rate_pct,
    round(e.continuation_pct - b.base_rate_pct, 1) AS edge_pp
FROM by_name AS e
INNER JOIN base AS b ON b.ticker = e.ticker
ORDER BY edge_pp DESC

SQL to run

WITH
px AS
(
    SELECT
        ticker,
        date,
        toFloat64(high)  AS h,
        toFloat64(close) AS c
    FROM global_markets.stocks_daily_aggs
    WHERE ticker IN ('AAPL', 'JPM', 'KO', 'MSFT', 'QQQ', 'SPY')
      AND date >= '2021-01-01'
      AND date <  '2026-09-01'
),
sorted AS
(
    SELECT
        ticker,
        arraySort(x -> x.1, groupArray((date, h, c))) AS bars
    FROM px
    GROUP BY ticker
),
arrs AS
(
    SELECT
        ticker,
        arrayMap(x -> x.2, bars) AS highs,
        arrayMap(x -> x.3, bars) AS closes
    FROM sorted
),
pivots AS
(
    SELECT
        ticker,
        highs,
        closes,
        arrayJoin(arrayFilter(i ->
            (i > 3)
            AND (i <= length(highs) - 3)
            AND (highs[i] > arrayMax(arraySlice(highs, i - 3, 3)))
            AND (highs[i] > arrayMax(arraySlice(highs, i + 1, 3))),
            arrayEnumerate(highs))) AS pivot_i
    FROM arrs
),
breaks AS
(
    SELECT
        ticker,
        closes,
        pivot_i,
        highs[pivot_i] AS level,
        pivot_i + 3 + arrayFirstIndex(x -> x > highs[pivot_i], arraySlice(closes, pivot_i + 4, 30)) AS break_i
    FROM pivots
    WHERE arrayFirstIndex(x -> x > highs[pivot_i], arraySlice(closes, pivot_i + 4, 30)) > 0
),
events AS
(
    SELECT
        ticker,
        break_i,
        argMax(level, pivot_i) AS level,
        any(closes)            AS closes
    FROM breaks
    GROUP BY ticker, break_i
),
by_name AS
(
    SELECT
        ticker,
        count()                                                     AS bos_events,
        round(100 * avg(closes[break_i + 10] > closes[break_i]), 1) AS continuation_pct
    FROM events
    WHERE break_i + 10 <= length(closes)
    GROUP BY ticker
),
base AS
(
    SELECT
        ticker,
        round(100 * avg(closes[t + 10] > closes[t]), 1) AS base_rate_pct
    FROM
    (
        SELECT
            ticker,
            closes,
            arrayJoin(arrayEnumerate(closes)) AS t
        FROM arrs
    )
    WHERE t + 10 <= length(closes)
    GROUP BY ticker
)
SELECT
    e.ticker                                       AS ticker,
    e.bos_events                                   AS bos_events,
    e.continuation_pct                             AS continuation_pct,
    b.base_rate_pct                                AS base_rate_pct,
    round(e.continuation_pct - b.base_rate_pct, 1) AS edge_pp
FROM by_name AS e
INNER JOIN base AS b ON b.ticker = e.ticker
ORDER BY edge_pp DESC

⌘/Ctrl + Enter