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Trade prints per second across the electronic day, June 10 2026

most recentas of 2026-08-12 series 64×3read in context →

Trade prints per second across the electronic day, June 10 2026 — 64 rows by 3 columns, computed 2026-08-12 from US exchange, SIP and OPRA data.
et_time	aapl_prints_per_sec	spy_prints_per_sec
04:00	10.45	3.12
04:15	0.25	0.42
04:30	0.6	0.36
04:45	0.71	0.55
05:00	0.38	0.62
05:15	0.5	0.6
05:30	0.44	0.31
05:45	0.24	0.64
06:00	0.3	0.26
06:15	0.34	0.49
06:30	0.27	0.34
06:45	0.39	0.42
07:00	1.06	9.08
07:15	0.75	3.54
07:30	0.86	1.96
07:45	1.06	1.5
08:00	0.69	1.06
08:15	0.67	2.25
08:30	2.09	10.79
08:45	1.26	2.38
09:00	1.4	1.92
09:15	1.39	2.06
09:30	98.64	53.71
09:45	55.67	47.92
10:00	52.91	35.23
10:15	53.22	40.4
10:30	62.84	41.78
10:45	48	45.44
11:00	44.97	46.03
11:15	43.48	40.91
11:30	41.58	32.51
11:45	50.39	64.01
12:00	41.24	30.28
12:15	29.88	20.18
12:30	26.92	18.41
12:45	26.55	19.42
13:00	22.35	25.52
13:15	23.87	23.73
13:30	24.86	24.06
13:45	35.12	33.37
14:00	29.86	29.61
14:15	25.77	24.93
14:30	24.38	27.96
14:45	25.9	36.23
15:00	26.93	29.06
15:15	33.72	46.13
15:30	29.7	48.94
15:45	75.53	100.76
16:00	2.29	8.43
16:15	1.14	2.59
16:30	1.06	1.5
16:45	1.23	1.69
17:00	1.6	0.87
17:15	0.9	0.52
17:30	0.85	1.19
17:45	0.89	1.04
18:00	1.52	2.49
18:15	1.09	0.56
18:30	1.02	0.92
18:45	1.01	0.98
19:00	0.89	1.37
19:15	1.21	2.18
19:30	1.45	0.89
19:45	1.23	0.79

the exact SQL behind every number

SELECT
    formatDateTime(toStartOfInterval(toTimeZone(window_start, 'America/New_York'), INTERVAL 15 MINUTE), '%H:%i') AS et_time,
    round(sumIf(transactions, ticker = 'AAPL') / 900, 2) AS aapl_prints_per_sec,
    round(sumIf(transactions, ticker = 'SPY') / 900, 2)  AS spy_prints_per_sec
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker IN ('AAPL', 'SPY')
  AND window_start >= '2026-06-10 08:00:00'
  AND window_start <  '2026-06-11 00:00:00'
GROUP BY et_time
ORDER BY et_time

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