STRASMORE/EXPLORE 3,214 QUERIES

Distance between the touches, five household names, 15 September 2026

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 2026-10-08, from Primary Peg vs Market Peg Orders Explained.

as of ranking 5×4read in context →
Distance between the touches, five household names, 15 September 2026 — 5 rows by 4 columns, computed from US exchange, SIP and OPRA data.
symbolavg_spread_centstightest_spread_centsavg_spread_bps
MSFT13.2212.6
AAPL3.611.1
SPY2.4910.3
NVDA1.8810.9
KO1.3411.5
Rows × columns
5 × 4
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 Distance between the touches, five household names, 15 September 2026, derived from the stored result.
ColumnTypeRangeNotes
symbol text 5 distinct values (AAPL, KO, MSFT…)
avg_spread_cents number 1.34 to 13.22
tightest_spread_cents number every row is 1
avg_spread_bps number 0.3 to 2.6

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
    ticker                                                           AS symbol,
    round(avg(toFloat64(ask_price) - toFloat64(bid_price)) * 100, 2) AS avg_spread_cents,
    round(min(toFloat64(ask_price) - toFloat64(bid_price)) * 100, 2) AS tightest_spread_cents,
    round(avg(toFloat64(ask_price) - toFloat64(bid_price))
          / avg(toFloat64(bid_price)) * 10000, 1)                    AS avg_spread_bps
FROM global_markets.cache_stocks_quotes
WHERE ticker IN ('AAPL', 'MSFT', 'NVDA', 'SPY', 'KO')
  AND sip_timestamp >= '2026-09-15 08:00:00'
  AND sip_timestamp <  '2026-09-16 00:00:00'
  AND bid_price > 0
  AND ask_price > bid_price
GROUP BY ticker
ORDER BY avg_spread_cents DESC
⌘/Ctrl + Enter

Work with this data in your AI assistant

Opens ready to query, with this page's data. Free, no account.

More from this analysisPrimary Peg vs Market Peg Orders Explained
Share of quotes at a one cent spread, 15 September 2026 ranking 5×4 → Distinct best bid prices per 15 minutes, NVDA against KO series 64×3 → AAPL quoted spread by ET hour, 15 September 2026 series 16×2 → Where one session of AAPL prints actually happened, by venue ranking 15×4 → Shares traded at KO's lowest price levels in one session ranking 8×3 → Sub-penny print share by reporting route, off exchange against lit exchange ranking 6×3 → See all 3,214 queries →