hammer_by_ticker

Name: hammer_by_ticker
Creator: Strasmore
Published: 2026-09-25
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 2026-09-25, from bullish-candlestick-patterns.

as of 2026-09-25 ranking 10×4read in context →

hammer_by_ticker — 10 rows by 4 columns, computed 2026-09-25 from US exchange, SIP and OPRA data.
ticker	hammer_count	hammer_next_up_pct	any_day_up_pct
KO	224	58.9	52.5
AAPL	201	58.2	53.6
WMT	193	57	53.5
MSFT	233	56.7	53.7
PG	188	56.4	52.7
HD	210	53.8	52.5
JNJ	216	53.2	51.8
NVDA	214	51.4	54.6
JPM	210	50.5	52.1
XOM	213	49.3	50.9

Rows × columns: 10 × 4
Computed: 2026-09-25
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 hammer_by_ticker, derived from the stored result.
Column	Type	Range	Notes
`ticker`	text	10 distinct values (AAPL, HD, JNJ…)
`hammer_count`	number	188 to 233	count
`hammer_next_up_pct`	number	49.3 to 58.9	percent
`any_day_up_pct`	number	50.9 to 54.6	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 2026-09-25, 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.

SELECT
    ticker,
    countIf(is_hammer)                        AS hammer_count,
    round(100 * avgIf(next_up, is_hammer), 1) AS hammer_next_up_pct,
    round(100 * avg(next_up), 1)              AS any_day_up_pct
FROM
(
    SELECT
        ticker,
        if(least(o, c) - l >= 2 * abs(c - o)
           AND h - greatest(o, c) <= 0.25 * (h - l), 1, 0) AS is_hammer,
        if(next_c > c, 1, 0)                              AS next_up
    FROM
    (
        SELECT
            ticker,
            toFloat64(open)               AS o,
            toFloat64(high)               AS h,
            toFloat64(low)                AS l,
            toFloat64(close)              AS c,
            leadInFrame(toFloat64(close)) OVER fwd AS next_c
        FROM global_markets.stocks_daily_aggs
        WHERE ticker IN ('AAPL','MSFT','NVDA','JPM','JNJ','KO','PG','WMT','XOM','HD')
          AND date >= '2016-01-01'
          AND date <= '2025-12-31'
        WINDOW
            fwd AS (PARTITION BY ticker ORDER BY date
                    ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING)
    )
    WHERE h > l AND next_c > 0
)
GROUP BY ticker
HAVING countIf(is_hammer) >= 20
ORDER BY hammer_next_up_pct DESC

SQL to run

SELECT
    ticker,
    countIf(is_hammer)                        AS hammer_count,
    round(100 * avgIf(next_up, is_hammer), 1) AS hammer_next_up_pct,
    round(100 * avg(next_up), 1)              AS any_day_up_pct
FROM
(
    SELECT
        ticker,
        if(least(o, c) - l >= 2 * abs(c - o)
           AND h - greatest(o, c) <= 0.25 * (h - l), 1, 0) AS is_hammer,
        if(next_c > c, 1, 0)                              AS next_up
    FROM
    (
        SELECT
            ticker,
            toFloat64(open)               AS o,
            toFloat64(high)               AS h,
            toFloat64(low)                AS l,
            toFloat64(close)              AS c,
            leadInFrame(toFloat64(close)) OVER fwd AS next_c
        FROM global_markets.stocks_daily_aggs
        WHERE ticker IN ('AAPL','MSFT','NVDA','JPM','JNJ','KO','PG','WMT','XOM','HD')
          AND date >= '2016-01-01'
          AND date <= '2025-12-31'
        WINDOW
            fwd AS (PARTITION BY ticker ORDER BY date
                    ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING)
    )
    WHERE h > l AND next_c > 0
)
GROUP BY ticker
HAVING countIf(is_hammer) >= 20
ORDER BY hammer_next_up_pct DESC

⌘/Ctrl + Enter

Use dis data for your AI assistant

E go open ready to query, with dis page data. Free, no account.

Claude ChatGPT Gemini Muse Your own agent