STRASMORE/EXPLORE 2,249 QUERIES

Placeholder share by session, five large names, July to August 2015

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 2026-09-15, from How to Read the US Equity Trade Tape.

as of series 15×3read in context →
Placeholder share by session, five large names, July to August 2015 — 15 rows by 3 columns, computed from US exchange, SIP and OPRA data.
dayprintsplaceholder_pct
2015-07-20568996100
2015-07-21788192100
2015-07-221072877100
2015-07-23562605100
2015-07-24537141100
2015-07-276188500
2015-07-285316530
2015-07-295198360
2015-07-304836250
2015-07-315824860
2015-08-037388600
2015-08-049994990
2015-08-058294810
2015-08-065930450
2015-08-075129890
Rows × columns
15 × 3
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 Placeholder share by session, five large names, July to August 2015, derived from the stored result.
ColumnTypeRangeNotes
day date 2015-07-20 to 2015-08-07
prints number 483,625 to 1,072,877
placeholder_pct number 0 to 100 percent

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
    toString(toDate(sip_timestamp))                                                       AS day,
    count()                                                                               AS prints,
    round(100 * countIf(toUnixTimestamp64Nano(participant_timestamp) = 0) / count(), 1)   AS placeholder_pct
FROM global_markets.stocks_trades
WHERE ticker IN ('IBM', 'MSFT', 'AAPL', 'GE', 'XOM')
  AND sip_timestamp >= '2015-07-20' AND sip_timestamp < '2015-08-08'
GROUP BY day
ORDER BY day

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