What Is a Trade-Through? ISO Orders Explained
Where 30 minutes of AAPL prints landed, by venueranking ·
2026-08-20 · 12×3
Distinct venues printing AAPL inside the same second, minute by minuteseries ·
2026-08-20 · 30×3
Share of prints by trade size: AAPL against KOranking ·
2026-08-20 · 5×4
Sale conditions that mark protection-rule exceptionstable ·
2026-08-20 · 11×3
Who Are the Biggest Market Makers?
Where Apple trades printed on June 10, 2026, by venueranking ·
2026-08-11 · 15×3
Quoted spread and quote traffic over fifteen minutes, June 10, 2026table ·
2026-08-11 · 5×5
Listed option series carrying data on one date, by underlyingranking ·
2026-08-11 · 5×4
Share of Apple volume printed off exchange, by monthseries ·
2026-08-11 · 12×2
Maker-Taker Fees and Rebates Explained
Where one liquid name's shares printed, by venue (Jul 15, 2026)ranking ·
2026-08-09 · 12×3
Registered US stock exchanges and their participant codestable ·
2026-08-09 · 18×5
One hour of NBBO spreads, measured in mils (Jul 15, 2026)ranking ·
2026-08-09 · 4×3
A 30 mil per share fee as basis points of notional, by price band (Jul 15, 2026)ranking ·
2026-08-09 · 6×3
Rule 605 vs 606: Execution Quality Reports
Where AAPL prints fall by trade size, June 17, 2026ranking ·
2026-08-07 · 5×3
Share of June 2026 volume reported to FINRA facilitiesranking ·
2026-08-07 · 5×3
AAPL quoted spread across the trading clock, June 17, 2026series ·
2026-08-07 · 22×3
Effective spread against quoted spread by trade size, AAPLranking ·
2026-08-07 · 4×4
Where 30 minutes of AAPL prints landed, by venue
Where 30 minutes of AAPL prints landed, by venue
| venue | print_count | share_pct |
|---|---|---|
| FINRA Alternative Display Facility | 48670 | 51 |
| Nasdaq | 20051 | 21 |
| NYSE Arca, Inc. | 10923 | 11.4 |
| Cboe BZX | 4694 | 4.9 |
| Investors Exchange | 2893 | 3 |
| Cboe EDGX | 2377 | 2.5 |
| Members Exchange | 2317 | 2.4 |
| New York Stock Exchange | 1455 | 1.5 |
| Cboe EDGA | 473 | 0.5 |
| Nasdaq Texas, Inc. | 455 | 0.5 |
| Cboe BYX | 450 | 0.5 |
| MIAX Pearl | 202 | 0.2 |
the exact SQL behind every number
WITH
prints AS
(
SELECT
toString(exchange) AS venue_id,
count() AS print_count
FROM global_markets.stocks_trades
WHERE ticker = 'AAPL'
AND sip_timestamp >= '2026-06-10 14:00:00'
AND sip_timestamp < '2026-06-10 14:30:00'
GROUP BY venue_id
),
venues AS
(
SELECT
toString(id) AS venue_id,
any(name) AS venue_name
FROM global_markets.stocks_exchanges
GROUP BY venue_id
)
SELECT
if(empty(v.venue_name), concat('Venue ', p.venue_id), v.venue_name) AS venue,
p.print_count AS print_count,
round(100 * p.print_count / sum(p.print_count) OVER (), 1) AS share_pct
FROM prints AS p
LEFT JOIN venues AS v USING (venue_id)
ORDER BY print_count DESC
LIMIT 12
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