weekday_sessions
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 2026-09-26, from forex-trading-hours-in-israel.
| weekday_name | us_sessions | avg_minute_bars |
|---|---|---|
| ראשון | 0 | 0 |
| שני | 48 | 390 |
| שלישי | 52 | 390 |
| רביעי | 52 | 387 |
| חמישי | 49 | 390 |
| שישי | 49 | 386 |
| שבת | 0 | 0 |
- Rows × columns
- 7 × 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 |
|---|---|---|---|
weekday_name |
text | 7 distinct values (חמישי, ראשון, רביעי…) | |
us_sessions |
number | 0 to 52 | |
avg_minute_bars |
number | 0 to 390 |
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
arrayElement(['שני', 'שלישי', 'רביעי', 'חמישי', 'שישי', 'שבת', 'ראשון'],
toDayOfWeek(cal.day)) AS weekday_name,
toUInt32(countIf(t.bars > 0)) AS us_sessions,
toUInt32(if(countIf(t.bars > 0) > 0,
round(avgIf(t.bars, t.bars > 0)), 0)) AS avg_minute_bars
FROM
(
SELECT today() - 371 + arrayJoin(range(365)) AS day
) AS cal
LEFT JOIN
(
SELECT
toDate(toTimeZone(window_start, 'America/New_York')) AS d,
count() AS bars
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'SPY'
AND window_start >= today() - 371
AND window_start < today() - 6
AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
+ toMinute(toTimeZone(window_start, 'America/New_York'))) >= 570
AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
+ toMinute(toTimeZone(window_start, 'America/New_York'))) < 960
GROUP BY d
) AS t ON t.d = cal.day
GROUP BY weekday_name, toDayOfWeek(cal.day)
ORDER BY (toDayOfWeek(cal.day) % 7) + 1
Work with this data in your AI assistant
Opens ready to query, with this page's data. Free, no account.