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Earnings headlines by the hour on a Beijing clock, Q3 2026

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 2026-10-16, from US Earnings Release Times in Beijing Time.

as of ranking 24×4read in context →
Earnings headlines by the hour on a Beijing clock, Q3 2026 — 24 rows by 4 columns, computed from US exchange, SIP and OPRA data.
beijing_clocket_clock_summerheadlinespct_of_headlines
00:0012:00688.42
01:0013:00242.97
02:0014:00182.23
03:0015:00192.35
04:0016:00283.47
05:0017:00769.41
06:0018:00202.48
07:0019:00121.49
08:0020:00111.36
09:0021:0040.5
10:0022:0070.87
11:0023:0030.37
12:0000:0040.5
13:0001:0010.12
14:0002:0060.74
15:0003:0060.74
16:0004:0070.87
17:0005:0050.62
18:0006:00232.85
19:0007:00323.96
20:0008:00415.07
21:0009:0010112.5
22:0010:00354.33
23:0011:0025731.81
Rows × columns
24 × 4
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 Earnings headlines by the hour on a Beijing clock, Q3 2026, derived from the stored result.
ColumnTypeRangeNotes
beijing_clock text 24 distinct values (00:00, 01:00, 02:00…)
et_clock_summer text 24 distinct values (00:00, 01:00, 02:00…)
headlines number 1 to 257
pct_of_headlines number 0.12 to 31.81 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 tagged AS
(
    SELECT
        toHour(toTimeZone(published_utc, 'Asia/Shanghai')) AS cst_hour,
        count()                                            AS items
    FROM global_markets.stocks_news
    WHERE published_utc >= '2026-07-01 00:00:00'
      AND published_utc <  '2026-10-01 00:00:00'
      AND positionCaseInsensitive(title, 'earnings') > 0
    GROUP BY cst_hour
),
hours AS
(
    SELECT
        spine.h                        AS h,
        toUInt32(sum(tagged.items))    AS headlines
    FROM (SELECT arrayJoin(range(24)) AS h) AS spine
    LEFT JOIN tagged ON tagged.cst_hour = spine.h
    GROUP BY spine.h
)
SELECT
    concat(leftPad(toString(h), 2, '0'), ':00')             AS beijing_clock,
    concat(leftPad(toString((h + 12) % 24), 2, '0'), ':00') AS et_clock_summer,
    headlines,
    round(100 * headlines / sum(headlines) OVER (), 2)      AS pct_of_headlines
FROM hours
ORDER BY h
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