MU: median quoted spread by half hour on July 7, 2026 (ET, regular hours)
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 2026-10-04, from Why Are Spreads Wider at the Open? Real Data.
| et_time | median_spread_cents | median_spread_bps | pct_of_widest | dropped_onesided_locked_crossed |
|---|---|---|---|---|
| 09:30 | 62 | 6.7 | 100 | 109 |
| 10:00 | 45 | 4.9 | 72.6 | 349 |
| 10:30 | 44 | 4.9 | 71 | 56 |
| 11:00 | 45 | 4.9 | 72.6 | 30 |
| 11:30 | 42 | 4.6 | 67.7 | 28 |
| 12:00 | 39 | 4.2 | 62.9 | 21 |
| 12:30 | 41 | 4.4 | 66.1 | 17 |
| 13:00 | 43 | 4.6 | 69.4 | 5 |
| 13:30 | 41 | 4.4 | 66.1 | 10 |
| 14:00 | 42 | 4.5 | 67.7 | 12 |
| 14:30 | 42 | 4.6 | 67.7 | 30 |
| 15:00 | 39 | 4.3 | 62.9 | 33 |
| 15:30 | 38 | 4.1 | 61.3 | 41 |
- Rows × columns
- 13 × 5
- 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_time |
text | 13 distinct values (09:30, 10:00, 10:30…) | |
median_spread_cents |
number | 38 to 62 | |
median_spread_bps |
number | 4.1 to 6.7 | |
pct_of_widest |
number | 61.3 to 100 | percent |
dropped_onesided_locked_crossed |
text | 12 distinct values (10, 109, 12…) |
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 et_time,
median_spread_cents,
median_spread_bps,
round(100 * median_spread_cents / max(median_spread_cents) OVER (), 1) AS pct_of_widest,
dropped_onesided_locked_crossed
FROM (
SELECT formatDateTime(toStartOfInterval(toTimeZone(sip_timestamp, 'America/New_York'), INTERVAL 30 MINUTE), '%H:%i') AS et_time,
round(quantileExactIf(0.5)(toFloat64(ask_price - bid_price) * 100, bid_price > 0 AND ask_price > bid_price), 1) AS median_spread_cents,
round(quantileExactIf(0.5)(toFloat64(ask_price - bid_price) / ((toFloat64(ask_price) + toFloat64(bid_price)) / 2) * 10000, bid_price > 0 AND ask_price > bid_price), 1) AS median_spread_bps,
toString(countIf(NOT (bid_price > 0 AND ask_price > bid_price))) AS dropped_onesided_locked_crossed
FROM global_markets.cache_stocks_quotes
WHERE ticker = 'MU'
AND sip_timestamp >= '2026-07-07 13:30:00'
AND sip_timestamp < '2026-07-07 20:00:00'
GROUP BY et_time
)
ORDER BY et_time
Work with this data in your AI assistant
Opens ready to query, with this page's data. Free, no account.