Calendar days from each weekday's session to the next SPY session
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 2026-08-18, from Does Theta Decay Over the Weekend?.
| bucket | avg_days_to_next_session | max_days_to_next_session |
|---|---|---|
| Monday | 1 | 1 |
| Tuesday | 1 | 1 |
| Wednesday | 1.06 | 2 |
| Thursday | 1.18 | 4 |
| Friday | 3.08 | 4 |
- Rows × columns
- 5 × 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 |
|---|---|---|---|
bucket |
text | 5 distinct values (Friday, Monday, Thursday…) | |
avg_days_to_next_session |
number | 1 to 3.08 | |
max_days_to_next_session |
number | 1 to 4 |
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 sessions AS
(
SELECT date
FROM global_markets.stocks_daily_aggs
WHERE ticker = 'SPY'
AND date >= '2025-08-01'
AND date < '2026-08-01'
GROUP BY date
),
stepped AS
(
SELECT
toDayOfWeek(date) AS dow,
dateDiff('day', date, leadInFrame(date) OVER (ORDER BY date ASC ROWS BETWEEN CURRENT ROW AND 1 FOLLOWING)) AS gap_days
FROM sessions
)
SELECT
['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday'][dow] AS bucket,
round(avg(gap_days), 2) AS avg_days_to_next_session,
max(gap_days) AS max_days_to_next_session
FROM stepped
WHERE gap_days BETWEEN 1 AND 10
GROUP BY dow
ORDER BY dow ASC
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