SPY-equivalent circuit breaker levels for the next 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 2026-11-01, from Market-Wide Circuit Breakers Explained.
| level | threshold | halt_rule | reference_close_label | spy_reference_close | spy_trigger_level | spy_points_to_trigger |
|---|---|---|---|---|---|---|
| Level 1 | 7% below the prior close | 15-minute halt if crossed before 3:25 p.m. ET | October 30 | 755.72 | 702.82 | 52.9 |
| Level 2 | 13% below the prior close | 15-minute halt if crossed before 3:25 p.m. ET | October 30 | 755.72 | 657.48 | 98.24 |
| Level 3 | 20% below the prior close | Halt for the rest of the day, at any time | October 30 | 755.72 | 604.58 | 151.14 |
- Rows × columns
- 3 × 7
- 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 |
|---|---|---|---|
level |
text | 3 distinct values (Level 1, Level 2, Level 3) | |
threshold |
text | 3 distinct values | |
halt_rule |
text | 2 distinct values | |
reference_close_label |
text | 1 distinct value (October 30) | |
spy_reference_close |
number | every row is 755.72 | US dollars |
spy_trigger_level |
number | 604.58 to 702.82 | |
spy_points_to_trigger |
number | 52.9 to 151.14 |
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
concat('Level ', toString(multiIf(lv.decline_pct = 7, 1, lv.decline_pct = 13, 2, 3))) AS level,
concat(toString(lv.decline_pct), '% below the prior close') AS threshold,
if(lv.decline_pct = 20,
'Halt for the rest of the day, at any time',
'15-minute halt if crossed before 3:25 p.m. ET') AS halt_rule,
concat(monthName(ref.d), ' ', toString(toDayOfMonth(ref.d))) AS reference_close_label,
round(ref.c, 2) AS spy_reference_close,
round(ref.c * (100 - lv.decline_pct) / 100, 2) AS spy_trigger_level,
round(ref.c * lv.decline_pct / 100, 2) AS spy_points_to_trigger
FROM
(
SELECT arrayJoin([7, 13, 20]) AS decline_pct
) AS lv
CROSS JOIN
(
SELECT
date AS d,
toFloat64(max(close)) AS c
FROM global_markets.stocks_daily_aggs
WHERE ticker = 'SPY'
AND date >= today() - 14
GROUP BY date
ORDER BY date DESC
LIMIT 1
) AS ref
ORDER BY lv.decline_pct
Work with this data in your AI assistant
Opens ready to query, with this page's data. Free, no account.