Stock headlines by ET hour of publication (last 30 days, all days)
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 2026-10-11, from Premarket and After-Hours Trading Hours (ET).
| et_hour | articles | pct_of_items |
|---|---|---|
| 0 | 63 | 0.8 |
| 1 | 108 | 1.4 |
| 2 | 131 | 1.7 |
| 3 | 115 | 1.5 |
| 4 | 196 | 2.5 |
| 5 | 274 | 3.5 |
| 6 | 280 | 3.5 |
| 7 | 434 | 5.5 |
| 8 | 1117 | 14.1 |
| 9 | 715 | 9 |
| 10 | 634 | 8 |
| 11 | 870 | 11 |
| 12 | 389 | 4.9 |
| 13 | 233 | 2.9 |
| 14 | 251 | 3.2 |
| 15 | 154 | 1.9 |
| 16 | 546 | 6.9 |
| 17 | 649 | 8.2 |
| 18 | 271 | 3.4 |
| 19 | 141 | 1.8 |
| 20 | 125 | 1.6 |
| 21 | 81 | 1 |
| 22 | 80 | 1 |
| 23 | 54 | 0.7 |
- Rows × columns
- 24 × 3
- Computed
- Completeness
- No missing values
- Source
- US exchange, SIP and OPRA market data
- Licence
- Strasmore terms · free, no signup
What each column holds
| Column | Type | Range | Notes |
|---|---|---|---|
et_hour |
number | 0 to 23 | |
articles |
number | 54 to 1,117 | |
pct_of_items |
number | 0.7 to 14.1 | 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.
SELECT toHour(toTimeZone(published_utc, 'America/New_York')) AS et_hour,
count() AS articles,
round(100 * count() / sum(count()) OVER (), 1) AS pct_of_items
FROM global_markets.stocks_news
WHERE published_utc >= now() - INTERVAL 30 DAY
AND toDate(toTimeZone(published_utc, 'America/New_York')) < toDate(toTimeZone(now(), 'America/New_York'))
GROUP BY et_hour
ORDER BY et_hour
在你的 AI 助手中使用这些数据
打开即可查询,已带上本页数据。免费,无需账号。