How to Read the US Equity Trade Tape
Two companies behind one symbol: TWTR on the daily barsseries ·
2026-09-15 · 2×5
The tape column on eight symbols, 2023-03-15ranking ·
2026-09-15 · 8×3
Sessions and symbols on the tape, by yearseries ·
2026-09-15 · 24×4
Share of prints with a placeholder participant timestamp, one March session per year (IBM and MSFT)ranking ·
2026-09-15 · 24×4
IBM's NYSE closing auction print: seconds after 4:00 p.m. ET, one March session per yearranking ·
2026-09-15 · 17×4
Placeholder share by session, five large names, July to August 2015series ·
2026-09-15 · 15×3
The first session with a populated participant timestampscalar ·
2026-09-15 · 1×26.41M
Correction indicator counts on one session, fifteen large names, 2023-03-15ranking ·
2026-09-15 · 5×3
Two companies behind one symbol: TWTR on the daily bars
Two companies behind one symbol: TWTR on the daily bars
| issuer | first_session | last_session | sessions | avg_close |
|---|---|---|---|---|
| Tweeter Home Entertainment | 2003-09-10 | 2007-06-20 | 951 | 5.41 |
| 2013-11-07 | 2022-10-27 | 2259 | 36 |
the exact SQL behind every number
SELECT
if(date < '2010-01-01', 'Tweeter Home Entertainment', 'Twitter') AS issuer,
toString(min(date)) AS first_session,
toString(max(toDate(date))) AS last_session,
count() AS sessions,
round(avg(toFloat64(close)), 2) AS avg_close
FROM global_markets.stocks_daily_aggs
WHERE ticker = 'TWTR' AND date >= '2003-09-10' AND date <= '2022-10-31'
GROUP BY issuer
ORDER BY first_session
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