STRASMORE/EXPLORE 3,256 QUERIES

season_waves

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 2026-10-09, from what-is-earnings-season.

as of ranking 9×3read in context →
season_waves — 9 rows by 3 columns, computed from US exchange, SIP and OPRA data.
tickerfiled_labelcalendar_offset
TSLA7월 2일1
AMZN7월 9일8
BAC7월 14일13
GS7월 14일13
WFC7월 14일13
MS7월 15일14
NFLX7월 16일15
MSFT7월 29일28
AAPL7월 30일29
Rows × columns
9 × 3
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 season_waves, derived from the stored result.
ColumnTypeRangeNotes
ticker text 9 distinct values (AAPL, AMZN, BAC…)
filed_label text 7 distinct values (7월 14일, 7월 15일, 7월 16일…)
calendar_offset number 1 to 29

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
    ticker,
    concat(toString(toMonth(min(filing_date))), '월 ',
           toString(toDayOfMonth(min(filing_date))), '일') AS filed_label,
    dateDiff('day', toDate('2026-07-01'), toDate(min(filing_date))) AS calendar_offset
FROM global_markets.stocks_sec_edgar_index
WHERE form_type = '8-K'
  AND ticker IN ('JPM', 'WFC', 'BAC', 'GS', 'MS', 'NFLX', 'TSLA', 'MSFT', 'AAPL', 'AMZN')
  AND filing_date >= '2026-07-01'
  AND filing_date <  '2026-08-16'
GROUP BY ticker
ORDER BY calendar_offset
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