The spread by session: regular-hours median and time-weighted average (bps)
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 2026-07-26, from NVDA: NVIDIA's Full June 2026, Tick by Tick.
| session | med_spread_cents | med_spread_bps | quote_updates | invalid_dropped |
|---|---|---|---|---|
| 2026-06-01 | 3 | 1.34 | 2465399 | 1436 |
| 2026-06-02 | 3 | 1.31 | 2281523 | 655 |
| 2026-06-03 | 2 | 0.93 | 2133300 | 1298 |
| 2026-06-04 | 2 | 0.93 | 2511478 | 707 |
| 2026-06-05 | 2 | 0.97 | 4147331 | 445 |
| 2026-06-08 | 2 | 0.97 | 2232572 | 409 |
| 2026-06-09 | 3 | 1.45 | 5021029 | 452 |
| 2026-06-10 | 3 | 1.45 | 3428787 | 353 |
| 2026-06-11 | 3 | 1.46 | 3781289 | 16953 |
| 2026-06-12 | 3 | 1.45 | 2538803 | 318 |
| 2026-06-15 | 2 | 0.95 | 1932126 | 358 |
| 2026-06-16 | 2 | 0.96 | 2673619 | 253 |
| 2026-06-17 | 2 | 0.97 | 2430971 | 302 |
| 2026-06-18 | 2 | 0.96 | 1990982 | 677 |
| 2026-06-22 | 2 | 0.95 | 2463752 | 1851 |
| 2026-06-23 | 2 | 0.99 | 2240334 | 202 |
| 2026-06-24 | 2 | 1.01 | 2180333 | 717 |
| 2026-06-25 | 2 | 1.03 | 2427607 | 635 |
| 2026-06-26 | 2 | 1.04 | 2458712 | 852 |
| 2026-06-29 | 2 | 1.03 | 1779717 | 323 |
| 2026-06-30 | 2 | 1.01 | 1783540 | 2208 |
- Rows × columns
- 21 × 5
- Period covered
- to
- 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 |
|---|---|---|---|
session |
date | 2026-06-01 to 2026-06-30 | |
med_spread_cents |
number | 2 to 3 | |
med_spread_bps |
number | 0.93 to 1.46 | |
quote_updates |
number | 1,779,717 to 5,021,029 | |
invalid_dropped |
number | 202 to 16,953 |
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.
the exact SQL behind every number
SELECT
session,
round(quantileDeterministicIf(0.5)(toFloat64(ask_price) - toFloat64(bid_price), toUInt64(toUnixTimestamp64Micro(sip_timestamp)), bid_price > 0 AND ask_price >= bid_price) * 100, 1) AS med_spread_cents,
round(quantileDeterministicIf(0.5)((toFloat64(ask_price) - toFloat64(bid_price)) / ((toFloat64(ask_price) + toFloat64(bid_price)) / 2) * 10000, toUInt64(toUnixTimestamp64Micro(sip_timestamp)), bid_price > 0 AND ask_price >= bid_price), 2) AS med_spread_bps,
count() AS quote_updates,
countIf(NOT (bid_price > 0 AND ask_price > 0 AND ask_price >= bid_price)) AS invalid_dropped
FROM global_markets.cache_stocks_quotes
WHERE ticker = 'NVDA'
AND sip_timestamp >= toDateTime64('2026-06-01 13:30:00', 9) AND sip_timestamp < toDateTime64('2026-07-01 00:00:00', 9)
AND (toHour(sip_timestamp) * 60 + toMinute(sip_timestamp)) BETWEEN 810 AND 1199
GROUP BY toDate(toTimeZone(sip_timestamp, 'America/New_York')) AS session
ORDER BY session
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