when-do-vix-options-expire
wednesday_expiriesranking ·
2026-09-17 · 12×3
what-is-the-3m10y-spread
recentseries ·
2026-09-17 · 60×6
monthlyseries ·
2026-09-17 · 241×4
inversionsseries ·
2026-09-17 · 9×6
front_endseries ·
2026-09-17 · 42×5
episodes_comparedtable ·
2026-09-17 · 3×9
what-does-cross-mean-in-trading
quote_statesranking ·
2026-09-17 · 3×4
cross_minutesseries ·
2026-09-17 · 7×4
cross_codestable ·
2026-09-17 · 13×5
Weekly Market Recap: The Week in Numbers
Where the volume went: most dollars traded over the past weekranking ·
2026-09-17 · 8×2
The eleven S&P 500 sectors over the past weekranking ·
2026-09-17 · 11×2
Biggest stock losers over the past weekranking ·
2026-09-17 · 7×3
The major index ETFs over the past weekranking ·
2026-09-17 · 4×4
Biggest stock gainers over the past weekranking ·
2026-09-17 · 7×3
Daily market breadth: advancers vs decliners each session (names trading $500M+)series ·
2026-09-17 · 5×3
Upcoming Stock Splits Calendar
Upcoming US stock splits: announced, with a future effective datetable ·
2026-09-17 · 30×5
Announced upcoming splits by directionranking ·
2026-09-17 · 2×2
Announced stock splits by effective month: forward vs reverseseries ·
2026-09-17 · 4×4
Unusual Volume Stocks This Week, Measured
How the whole qualifying universe traded this week, bucketed by relative volumeranking ·
2026-09-17 · 7×4
Persistence check: the eight leaders' daily relative volume across the five sessionstable ·
2026-09-17 · 8×5
Highest relative volume this week: trailing 5 sessions vs. the prior 40, for names trading $500M+ in the weekseries ·
2026-09-17 · 8×6
The board leader, day by day: daily relative volume and open-to-close change (last 15 sessions)series ·
2026-09-17 · 15×5
Wild multiples the dollar floor removes: highest relative volume among names trading under $500M this weekseries ·
2026-09-17 · 6×5
Unusual Options Activity: Last Session
Market-wide options volume by session, with monthly expirations labelledseries ·
2026-09-17 · 25×5
Calls or puts: the board's call and put contract volume on the same sessiontable ·
2026-09-17 · 10×5
What follows a heavy options session: next-session absolute move vs. the same names on an ordinary daytable ·
2026-09-17 · 5×6
What the session's contracts were made of: options volume by days to expiryranking ·
2026-09-17 · 6×4
Unusual options activity: last completed session vs. each underlying's own 20-session averagetable ·
2026-09-17 · 10×8
twap-vs-vwap-vs-pov-orders
volume_curveseries ·
2026-09-17 · 13×4
open_vs_lunchtable ·
2026-09-17 · 5×6
lunch_povseries ·
2026-09-17 · 13×4
curve_dispersionseries ·
2026-09-17 · 13×4
the-7-5-3-1-rule-mutual-funds
worst_windowstable ·
2026-09-17 · 8×6
step_uptable ·
2026-09-17 · 10×5
rolling_7yseries ·
2026-09-17 · 193×5
return_bucketsranking ·
2026-09-17 · 5×3
the-390-rule-in-options-trading
spy_trade_sizesranking ·
2026-09-17 · 5×3
spy_option_paceseries ·
2026-09-17 · 14×3
session_shapeseries ·
2026-09-17 · 16×3
one_lot_shareranking ·
2026-09-17 · 6×4
Short Squeeze Candidates This Week
Squeeze-shaped mechanics: crowded shorts among liquid names, with a rising priceranking ·
2026-09-17 · 12×4
The screened names ranked by short interest against shares outstanding (not float)table ·
2026-09-17 · 10×5
Every past screened name, by what it did over the next 30 daysranking ·
2026-09-17 · 6×3
From the whole settlement file down to the screened list, one rule at a timeranking ·
2026-09-17 · 4×2
Every input behind this screen, and how many days old it isseries ·
2026-09-17 · 3×3
Liquid names at 5+ and 10+ days to cover, settlement by settlementseries ·
2026-09-17 · 12×4
santa-claus-rally
worst_windowstable ·
2026-09-17 · 5×5
window_vs_decembertable ·
2026-09-17 · 3×8
window_volumeranking ·
2026-09-17 · 7×4
santa_windowstable ·
2026-09-17 · 23×5
folklore_testtable ·
2026-09-17 · 2×6
Recent Stock Splits (Forward and Reverse)
Forward vs reverse splits executed in the last 45 daysranking ·
2026-09-17 · 2×2
Recent reverse stock splits (shares consolidated), last 30 daysranking ·
2026-09-17 · 15×4
Recent forward stock splits (shares multiplied), last 60 days, ETFs excludedranking ·
2026-09-17 · 15×4
nasdaq-closing-cross-explained
hourly_profileranking ·
2026-09-17 · 16×4
cross_shareseries ·
2026-09-17 · 8×4
cross_printtable ·
2026-09-17 · 6×6
close_secondsseries ·
2026-09-17 · 20×4
close_codesranking ·
2026-09-17 · 4×3
Most Shorted Stocks Right Now, Measured
The receipts: universe size, filter bite, median crowding, and list churn at the latest printscalar ·
2026-09-17 · 1×522,567
Largest short positions by shares: latest settlement, liquid namesranking ·
2026-09-17 · 10×4
Crowding leaders vs. their own price: about one month of sessionsseries ·
2026-09-17 · 4×5
GME through the January 2021 squeeze: the same three columns, settlement by settlementseries ·
2026-09-17 · 10×4
Today's top-3 crowding leaders, traced back eight settlementsseries ·
2026-09-17 · 8×4
Biggest days-to-cover increases, latest settlement vs. the prior printranking ·
2026-09-17 · 8×4
Highest days to cover among liquid names: latest settlement on filetable ·
2026-09-17 · 10×5
Stock Market Holidays 2026–2027: NYSE & Nasdaq
Upcoming US stock market holidays and early closesseries ·
2026-09-17 · 12×6
Recently-passed weekday closures, recovered from the SPY tapeseries ·
2026-09-17 · 4×3
Regular trading sessions over the trailing yearscalar ·
2026-09-17 · 1×3251
The closure calendar ahead, at a glancescalar ·
2026-09-17 · 1×610
Is the Stock Market Open Today?
This calendar year's closures: already passed (counted from the tape) plus still ahead (from the calendar)table ·
2026-09-17 · 2×5
SPY across recent weekends and holiday weekends: Friday's close vs. the reopening printseries ·
2026-09-17 · 10×6
Every upcoming NYSE closure and early close on the calendar feed, with a countdownseries ·
2026-09-17 · 12×6
Unscheduled closures on the tape: zero regular-session bars on an ordinary weekdayseries ·
2026-09-17 · 5×4
Market status computed at this page's refresh: weekday check, holiday check, and the ET clockscalar ·
2026-09-17 · 1×70
The most recent session on the tape: bar count, same-day SPY options prints, and the last half-day observedscalar ·
2026-09-17 · 1×6211
Weekdays in the trailing year when stocks traded but no Treasury yield printedtable ·
2026-09-17 · 2×2
how-to-store-market-data-pcaps
retention_arithmeticseries ·
2026-09-17 · 3×4
how-to-get-approved-for-options-trading
margin_spread_laddertable ·
2026-09-17 · 9×9
cash_account_laddertable ·
2026-09-17 · 9×5
Highest Implied Volatility Stocks Right Now
SPY, the same measurement: the market's calm benchmarkscalar ·
2026-09-17 · 1×313.2
ATM implied volatility across every actively traded underlying, latest sessionscalar ·
2026-09-17 · 1×5969
Highest ATM implied volatility: liquid single names and funds, latest sessiontable ·
2026-09-17 · 12×5
do-you-get-the-dividend-if-you-buy-on-the-ex-date
gap_by_monthseries ·
2026-09-17 · 40×5
ex_open_basketranking ·
2026-09-17 · 21×4
aapl_dividendsseries ·
2026-09-17 · 8×12
Dividend Increases & Cuts This Week
Increases against cuts, by week of declaration (complete weeks only)series ·
2026-09-17 · 26×4
Payers across their own share split: the raw change against the split-adjusted changeseries ·
2026-09-17 · 9×7
Increases, cuts and the typical raise this calendar year, by company size (bands use today's market value)table ·
2026-09-17 · 4×6
Dividend increases declared in the last 7 days, largest companies first (capped at 12 rows)series ·
2026-09-17 · 6×8
Dividend cuts declared in the last 90 days, the deepest 14 first (one week is too thin for a table)series ·
2026-09-17 · 14×6
Biggest Stock Gainers and Losers This Week
Biggest stock losers this week (names trading $1B+, leveraged/inverse ETFs excluded)ranking ·
2026-09-17 · 10×4
The four major index ETFs this week, for contextranking ·
2026-09-17 · 4×2
Biggest stock gainers this week (names trading $1B+, leveraged/inverse ETFs excluded)ranking ·
2026-09-17 · 10×4
Biggest Stock Movers This Month
The window and the screened universe behind every board on this pagescalar ·
2026-09-17 · 1×520
Where every screened company landed: monthly returns by bucketranking ·
2026-09-17 · 6×2
Eight household mega-cap names over the same windowranking ·
2026-09-17 · 8×2
Biggest stock losers this month (companies trading $1B+ over the window)ranking ·
2026-09-17 · 10×3
The four major index trackers across the same window, rebased to the first openseries ·
2026-09-17 · 20×5
Biggest stock gainers this month (companies trading $1B+ over the window)ranking ·
2026-09-17 · 10×3
Next 100 →
page 1 of 24
cross_print
cross_print
| et_clock | price | shares_mn | condition_codes | venue | x_median_trade_k |
|---|---|---|---|---|---|
| 16:00:00.810 | 326.57 | 6.605 | [8,9,41] | Nasdaq | 550.4 |
| 16:00:00.810 | 326.57 | 6.605 | [15] | Nasdaq | 550.4 |
| 16:00:01.222 | 326.57 | 0.074 | [12] | FINRA Alternative Display Facility | 6.1 |
| 16:00:00.813 | 326.57 | 0.061 | [12] | FINRA Alternative Display Facility | 5.1 |
| 16:00:00.812 | 326.57 | 0.024 | [12] | FINRA Alternative Display Facility | 2 |
| 16:00:01.157 | 326.57 | 0.013 | [12] | FINRA Alternative Display Facility | 1.1 |
the exact SQL behind every number
SELECT
p.et_clock AS et_clock,
p.price AS price,
p.shares_mn AS shares_mn,
p.condition_codes AS condition_codes,
p.venue AS venue,
round(p.shares / m.median_trade_shares / 1000, 1) AS x_median_trade_k
FROM
(
SELECT
t.et_clock AS et_clock,
t.price AS price,
t.shares AS shares,
t.shares_mn AS shares_mn,
t.condition_codes AS condition_codes,
t.seq AS seq,
e.venue AS venue
FROM
(
SELECT
substring(toString(toTimeZone(sip_timestamp, 'America/New_York')), 12, 12) AS et_clock,
round(toFloat64(price), 2) AS price,
toFloat64(size) AS shares,
round(toFloat64(size) / 1e6, 3) AS shares_mn,
toString(conditions) AS condition_codes,
toInt32(exchange) AS exch,
toUInt64(sequence_number) AS seq
FROM global_markets.stocks_trades
WHERE ticker = 'AAPL'
AND sip_timestamp >= toDateTime('2026-09-10 20:00:00', 'UTC')
AND sip_timestamp < toDateTime('2026-09-10 20:00:10', 'UTC')
ORDER BY shares DESC, sip_timestamp
LIMIT 6
) AS t
LEFT JOIN
(
SELECT toInt32(id) AS exch, any(name) AS venue
FROM global_markets.stocks_exchanges
GROUP BY exch
) AS e ON e.exch = t.exch
) AS p
CROSS JOIN
(
SELECT quantileExact(0.5)(toFloat64(size)) AS median_trade_shares
FROM global_markets.stocks_trades
WHERE ticker = 'AAPL'
AND sip_timestamp >= toDateTime('2026-09-10 08:00:00', 'UTC')
AND sip_timestamp < toDateTime('2026-09-11 00:00:00', 'UTC')
) AS m
ORDER BY p.shares DESC, p.seq
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