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How OHLCV Bars Are Built From Ticks
Odd lot share of prints and of volume, minute by minuteseries · 2026-08-08 · 15×4Preview: a 15-point series, ending lower. How many of the 390 session minutes each US symbol traded inranking · 2026-08-08 · 10×2Preview: 10 ranked values, largest first. Trade condition codes that restrict high, low, and lastranking · 2026-08-08 · 7×3Preview: 7 ranked values, smallest first. SPY volume by minute into the close, June 10 2026series · 2026-08-08 · 25×3Preview: a 16-point series, ending higher. One-minute AAPL bars rebuilt from individual trades, June 10 2026series · 2026-08-08 · 15×6Preview: a 15-point series, ending lower.
Odd lot share of prints and of volume, minute by minute

Odd lot share of prints and of volume, minute by minute

most recentas of series 15×4read in context →
Odd lot share of prints and of volume, minute by minute — 15 rows by 4 columns, computed from US exchange, SIP and OPRA data.
et_timeodd_lot_print_pctodd_lot_volume_pctprint_count
09:3079.53.318124
09:3155.311.44198
09:3263.514.44942
09:3369.918.34617
09:3471.217.64789
09:3557.512.44584
09:3656.612.34895
09:3751.712.14840
09:385313.85397
09:394611.47294
09:405713.65533
09:4160.212.16700
09:4249.29.65081
09:4353.410.33976
09:4455.39.83843
the exact SQL behind every number
SELECT
    formatDateTime(toStartOfMinute(toTimeZone(sip_timestamp, 'America/New_York')), '%H:%i') AS et_time,
    round(100 * countIf(has(conditions, 37)) / count(), 1)                            AS odd_lot_print_pct,
    round(100 * toFloat64(sumIf(size, has(conditions, 37))) / toFloat64(sum(size)), 1) AS odd_lot_volume_pct,
    count()                                                                           AS print_count
FROM global_markets.stocks_trades
WHERE ticker = 'AAPL'
  AND sip_timestamp >= '2026-06-10 13:30:00'
  AND sip_timestamp <  '2026-06-10 13:45:00'
GROUP BY et_time
ORDER BY et_time
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