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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 2026-08-22, 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
2026-08-120.97.228
2026-08-130.897.28.1
2026-08-140.897.057.9
2026-08-170.887.068
2026-08-180.917.187.9
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 2026-08-12 to 2026-08-18
nvda_spread_bps number 0.88 to 0.91
f_spread_bps number 7.05 to 7.22
times_wider number 7.9 to 8.1

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 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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