STRASMORE/EXPLORE 2,433 QUERIES

NVDA vs SOXS: median quoted spread by session (bps of the midpoint)

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 2026-09-20, from What It Costs to Trade a Stock, Measured.

as of series 5×4read in context →
NVDA vs SOXS: median quoted spread by session (bps of the midpoint) — 5 rows by 4 columns, computed from US exchange, SIP and OPRA data.
et_datenvda_spread_bpsf_spread_bpstimes_wider
2026-09-100.927.217.8
2026-09-110.917.137.8
2026-09-140.947.227.7
2026-09-150.947.357.8
2026-09-160.937.458
Rows × columns
5 × 4
Period covered
to
Computed
Completeness
No missing values
Source
US exchange, SIP and OPRA market data
Licence
Strasmore terms · free, no signup
Formats
JSON · CSV · the SQL below

What each column holds

Column definitions for NVDA vs SOXS: median quoted spread by session (bps of the midpoint), derived from the stored result.
ColumnTypeRangeNotes
et_date date 2026-09-10 to 2026-09-16
nvda_spread_bps number 0.91 to 0.94
f_spread_bps number 7.13 to 7.45
times_wider number 7.7 to 8

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_date,
       nvda_spread_bps,
       f_spread_bps,
       round(f_spread_bps / nvda_spread_bps, 1) AS times_wider
FROM (
    SELECT toDate(toTimeZone(sip_timestamp, 'America/New_York')) AS et_date,
           round(quantileExactIf(0.5)(toFloat64(ask_price - bid_price) / (toFloat64(ask_price + bid_price) / 2), ticker = 'NVDA' AND bid_price > 0 AND ask_price > bid_price) * 10000, 2) AS nvda_spread_bps,
           round(quantileExactIf(0.5)(toFloat64(ask_price - bid_price) / (toFloat64(ask_price + bid_price) / 2), ticker = 'F' AND bid_price > 0 AND ask_price > bid_price) * 10000, 2) AS f_spread_bps
    FROM global_markets.cache_stocks_quotes
    WHERE ticker IN ('NVDA', 'F')
      AND sip_timestamp >= toDateTime(today() - 10)
      AND sip_timestamp < toDateTime(today() - 3)
      AND (toHour(sip_timestamp) * 60 + toMinute(sip_timestamp)) BETWEEN 810 AND 1199
    GROUP BY et_date
)
ORDER BY et_date
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More from this analysisWhat It Costs to Trade a Stock, Measured
The cost-to-trade ladder: median quoted spread in bps of the midpoint, regular hours, recent completed sessions table 12×5 → The one-cent floor: share price, percent of quotes exactly one cent wide, and what a penny costs in bps table 5×6 → NVDA vs SOXS: median quoted spread over the window, with the smallest single-session gap scalar 1×5 → AAPL median quoted spread by 30-minute bucket (ET, extended hours included) series 32×2 → Share of quote updates at the one-cent minimum spread, by half hour (regular hours, ET) series 13×4 → Median spread each half hour, as a multiple of each name's tightest bucket (regular hours, ET) series 13×4 → See all 2,433 queries →