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Earnings headlines by US weekday, and the Beijing day a post-close print arrives on

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 series 5×4read in context →
Earnings headlines by US weekday, and the Beijing day a post-close print arrives on — 5 rows by 4 columns, computed from US exchange, SIP and OPRA data.
us_weekdaybeijing_day_post_closepre_open_headlinespost_close_headlines
MonTue1113
TueWed1813
WedThu3539
ThuFri2054
FriSat106
Rows × columns
5 × 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 US weekday, and the Beijing day a post-close print arrives on, derived from the stored result.
ColumnTypeRangeNotes
us_weekday text 5 distinct values (Fri, Mon, Thu…)
beijing_day_post_close text 5 distinct values (Fri, Sat, Thu…)
pre_open_headlines number 10 to 35 US dollars
post_close_headlines number 6 to 54 US dollars

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.

SELECT
    formatDateTime(toTimeZone(published_utc, 'America/New_York'), '%a')                      AS us_weekday,
    formatDateTime(toTimeZone(published_utc, 'America/New_York') + INTERVAL 1 DAY, '%a')     AS beijing_day_post_close,
    countIf(toHour(toTimeZone(published_utc, 'America/New_York')) BETWEEN 5 AND 8)           AS pre_open_headlines,
    countIf(toHour(toTimeZone(published_utc, 'America/New_York')) BETWEEN 16 AND 19)         AS post_close_headlines
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
  AND toDayOfWeek(toTimeZone(published_utc, 'America/New_York')) <= 5
GROUP BY us_weekday, beijing_day_post_close
ORDER BY any(toDayOfWeek(toTimeZone(published_utc, 'America/New_York')))
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More from this analysisUS Earnings Release Times in Beijing Time
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