Xetra Trading Hours and Holidays 2026–2027
Weekdays, weekday closures and Xetra sessions per calendar yeartable ·
2026-09-16 · 2×5
Days when the New York open lands at 14:30 Frankfurt time (three-hour overlap), 2026 and 2027series ·
2026-09-16 · 4×5
Xetra non-trading days 2027, from the Deutsche Börse trading calendartable ·
2026-09-16 · 8×5
Xetra non-trading days 2026, from the Deutsche Börse trading calendartable ·
2026-09-16 · 8×5
Why Relative Volume Differs Between Platforms
Five relative-volume definitions on one AAPL session, at 10:30 a.m. ET and at the closeranking ·
2026-09-16 · 5×3
One AAPL session, four lookbacks: full-day relative volume from daily barsranking ·
2026-09-16 · 4×4
How the session's volume piled up against the prior 10 sessions, checkpoint by checkpointseries ·
2026-09-16 · 14×4
Same session, same 10-session lookback: same-time basis vs full-day basis through the dayseries ·
2026-09-16 · 14×3
What Is Backtesting in Trading?
Distance from one close to the next open, liquid names, 2025 (basis points)ranking ·
2026-09-16 · 5×3
What Is a High VIX? Levels and Extremes
SPY realized volatility by calendar year, with the biggest day and the count of 2%+ sessionsranking ·
2026-09-16 · 23×4
SPY daily closes from the VIX record close (March 16, 2020) through March 27series ·
2026-09-16 · 10×4
SPY on August 5, 2024, in half-hour buckets (ET): the low and the close of eachseries ·
2026-09-16 · 13×3
SPY 30-day at-the-money implied volatility, sessions per VIX-style rungranking ·
2026-09-16 · 4×4
Short Delivery Auction in India: NSE Rules
Rule 204 close-out deadline for a short-sale fail, by trade date (US sessions, trailing weeks)series ·
2026-09-16 · 15×6
SEBI's close-out formula applied to a US tape (AAPL, trailing three weeks, illustrative)series ·
2026-09-16 · 14×4
How to Backtest a Trading Strategy in Python
Three runs of backtest.py on the illustrative 60-bar fileranking ·
2026-09-16 · 3×4
Futures Tick Size and Tick Value Explained
Worked P&L examples: ticks moved x tick value x contracts (hypothetical)table ·
2026-09-16 · 7×5
Outright tick size and tick value per contract, CME specifications, September 2026ranking ·
2026-09-16 · 10×4
Calendar spread tick versus outright tick, dollars per contract, CME specifications, September 2026ranking ·
2026-09-16 · 10×4
Dividend Increases Expected This Month
MSFT dividend raise declarations, 2019 to 2025 (pinned)series ·
2026-09-16 · 7×6
Companies expected to raise their dividend this month, declared names firstseries ·
2026-09-16 · 13×7
When dividend raises get declared: share by calendar month, starting from this monthranking ·
2026-09-16 · 12×3
Declared vs. still expected: this month in each of the last six yearsseries ·
2026-09-16 · 6×4
Weekly Market Recap: The Week in Numbers
Where the volume went: most dollars traded over the past weekranking ·
2026-09-15 · 8×2
The eleven S&P 500 sectors over the past weekranking ·
2026-09-15 · 11×2
Biggest stock losers over the past weekranking ·
2026-09-15 · 7×3
The major index ETFs over the past weekranking ·
2026-09-15 · 4×4
Biggest stock gainers over the past weekranking ·
2026-09-15 · 7×3
Daily market breadth: advancers vs decliners each session (names trading $500M+)series ·
2026-09-15 · 5×3
Upcoming Stock Splits Calendar
Upcoming US stock splits: announced, with a future effective datetable ·
2026-09-15 · 30×5
Announced upcoming splits by directionranking ·
2026-09-15 · 2×2
Announced stock splits by effective month: forward vs reverseseries ·
2026-09-15 · 4×4
Upcoming Ex-Dividend Dates: Stocks This Week
Three household payers at their last ex-date: prior close, ex-morning open, and the payment for scaleseries ·
2026-09-15 · 3×8
Who goes ex-dividend in the next 14 days: names, cadence and implied yield by size bandtable ·
2026-09-15 · 4×5
Names going ex-dividend, day by day: the next seven days of declared recordsseries ·
2026-09-15 · 5×5
Ex-dividend dates by calendar month: three-year average, quarterly vs monthly payersseries ·
2026-09-15 · 12×4
Thirteen big dividend and income funds: last ex-date, cadence, and the implied next ex-dateseries ·
2026-09-15 · 13×8
Forward-declared ex-dividend records on file: the receipt behind this calendarscalar ·
2026-09-15 · 1×53,507
Every mega-cap ex-dividend event of the past six months: price path from the pre-ex closetable ·
2026-09-15 · 5×6
Largest companies going ex-dividend in the next 14 days: amount, pay date, indicated yieldseries ·
2026-09-15 · 12×8
Unusual Volume Stocks This Week, Measured
How the whole qualifying universe traded this week, bucketed by relative volumeranking ·
2026-09-15 · 7×4
Persistence check: the eight leaders' daily relative volume across the five sessionstable ·
2026-09-15 · 8×5
Highest relative volume this week: trailing 5 sessions vs. the prior 40, for names trading $500M+ in the weekseries ·
2026-09-15 · 8×6
The board leader, day by day: daily relative volume and open-to-close change (last 15 sessions)series ·
2026-09-15 · 15×5
Wild multiples the dollar floor removes: highest relative volume among names trading under $500M this weekseries ·
2026-09-15 · 6×5
Unusual Options Activity: Last Session
Market-wide options volume by session, with monthly expirations labelledseries ·
2026-09-15 · 25×5
Calls or puts: the board's call and put contract volume on the same sessiontable ·
2026-09-15 · 10×5
What follows a heavy options session: next-session absolute move vs. the same names on an ordinary daytable ·
2026-09-15 · 5×6
What the session's contracts were made of: options volume by days to expiryranking ·
2026-09-15 · 6×4
Unusual options activity: last completed session vs. each underlying's own 20-session averagetable ·
2026-09-15 · 10×8
Short Squeeze Candidates This Week
Squeeze-shaped mechanics: crowded shorts among liquid names, with a rising priceranking ·
2026-09-15 · 12×4
The screened names ranked by short interest against shares outstanding (not float)table ·
2026-09-15 · 10×5
Every past screened name, by what it did over the next 30 daysranking ·
2026-09-15 · 6×3
From the whole settlement file down to the screened list, one rule at a timeranking ·
2026-09-15 · 4×2
Every input behind this screen, and how many days old it isseries ·
2026-09-15 · 3×3
Liquid names at 5+ and 10+ days to cover, settlement by settlementseries ·
2026-09-15 · 12×4
Short Selling Bans Explained: US, Germany, EU
What ESMA measured during the 2020 bans (published estimates, % versus the control group)ranking ·
2026-09-15 · 4×2
Every outright short selling ban since 2008, dated to the order that set ittable ·
2026-09-15 · 9×5
Recent Stock Splits (Forward and Reverse)
Forward vs reverse splits executed in the last 45 daysranking ·
2026-09-15 · 2×2
Recent reverse stock splits (shares consolidated), last 30 daysranking ·
2026-09-15 · 15×4
Recent forward stock splits (shares multiplied), last 60 days, ETFs excludedranking ·
2026-09-15 · 15×4
Options Expiry Days in India: NSE and BSE
Weekdays with a traded expiration: SPY, QQQ and IWM, trailing five weeksranking ·
2026-09-15 · 3×4
Most Shorted Stocks Right Now, Measured
The receipts: universe size, filter bite, median crowding, and list churn at the latest printscalar ·
2026-09-15 · 1×522,567
Largest short positions by shares: latest settlement, liquid namesranking ·
2026-09-15 · 10×4
Crowding leaders vs. their own price: about one month of sessionsseries ·
2026-09-15 · 4×5
GME through the January 2021 squeeze: the same three columns, settlement by settlementseries ·
2026-09-15 · 10×4
Today's top-3 crowding leaders, traced back eight settlementsseries ·
2026-09-15 · 8×4
Biggest days-to-cover increases, latest settlement vs. the prior printranking ·
2026-09-15 · 8×4
Highest days to cover among liquid names: latest settlement on filetable ·
2026-09-15 · 10×5
Stock Market Holidays 2026–2027: NYSE & Nasdaq
Upcoming US stock market holidays and early closesseries ·
2026-09-15 · 12×6
Recently-passed weekday closures, recovered from the SPY tapeseries ·
2026-09-15 · 4×3
Regular trading sessions over the trailing yearscalar ·
2026-09-15 · 1×3252
The closure calendar ahead, at a glancescalar ·
2026-09-15 · 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 ·
2026-09-15 · 2×5
SPY across recent weekends and holiday weekends: Friday's close vs. the reopening printseries ·
2026-09-15 · 11×6
Every upcoming NYSE closure and early close on the calendar feed, with a countdownseries ·
2026-09-15 · 12×6
Unscheduled closures on the tape: zero regular-session bars on an ordinary weekdayseries ·
2026-09-15 · 5×4
Market status computed at this page's refresh: weekday check, holiday check, and the ET clockscalar ·
2026-09-15 · 1×70
The most recent session on the tape: bar count, same-day SPY options prints, and the last half-day observedscalar ·
2026-09-15 · 1×6211
Weekdays in the trailing year when stocks traded but no Treasury yield printedtable ·
2026-09-15 · 2×2
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
Highest Implied Volatility Stocks Right Now
SPY, the same measurement: the market's calm benchmarkscalar ·
2026-09-15 · 1×313.2
ATM implied volatility across every actively traded underlying, latest sessionscalar ·
2026-09-15 · 1×5969
Highest ATM implied volatility: liquid single names and funds, latest sessiontable ·
2026-09-15 · 12×5
Dividend Increases & Cuts This Week
Increases against cuts, by week of declaration (complete weeks only)series ·
2026-09-15 · 26×4
Payers across their own share split: the raw change against the split-adjusted changeseries ·
2026-09-15 · 9×7
Increases, cuts and the typical raise this calendar year, by company size (bands use today's market value)table ·
2026-09-15 · 4×6
Dividend increases declared in the last 7 days, largest companies first (capped at 12 rows)series ·
2026-09-15 · 6×8
Dividend cuts declared in the last 90 days, the deepest 14 first (one week is too thin for a table)series ·
2026-09-15 · 14×6
Can You Day Trade an Index Fund? ETFs vs Funds
VOO: last traded price in each 30-minute bucket of the most recent complete session (ET, extended hours included)series ·
2026-09-15 · 25×2
Typical quoted spread on the three largest S&P 500 ETFs, trailing five daysranking ·
2026-09-15 · 3×3
Biggest Stock Gainers and Losers This Week
Biggest stock losers this week (names trading $1B+, leveraged/inverse ETFs excluded)ranking ·
2026-09-15 · 10×4
The four major index ETFs this week, for contextranking ·
2026-09-15 · 4×2
Next 100 →
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How the session's volume piled up against the prior 10 sessions, checkpoint by checkpoint
How the session's volume piled up against the prior 10 sessions, checkpoint by checkpoint
| et_time | session_cumulative_millions | typical_cumulative_millions | typical_share_of_session_pct |
|---|---|---|---|
| 09:45 | 8.3 | 2.7 | 8.5 |
| 10:00 | 11.1 | 4.5 | 14.1 |
| 10:30 | 14.5 | 7.5 | 23.8 |
| 11:00 | 19 | 10.1 | 31.9 |
| 11:30 | 23.4 | 12.4 | 39.2 |
| 12:00 | 29.2 | 14.5 | 45.7 |
| 12:30 | 32.8 | 16.3 | 51.4 |
| 13:00 | 38.2 | 17.7 | 55.8 |
| 13:30 | 41.2 | 19.5 | 61.5 |
| 14:00 | 45.3 | 21 | 66.4 |
| 14:30 | 48 | 22.9 | 72.4 |
| 15:00 | 50.3 | 25.1 | 79.3 |
| 15:30 | 53.4 | 26.9 | 85.1 |
| 16:00 | 59.3 | 31.7 | 100 |
the exact SQL behind every number
WITH
toDate('2026-09-10') AS session_day,
[585, 600, 630, 660, 690, 720, 750, 780, 810, 840, 870, 900, 930, 960] AS checkpoints
SELECT
formatDateTime(toDateTime(session_day, 'UTC') + checkpoints[i] * 60, '%H:%i', 'UTC') AS et_time,
round(session_cums[i] / 1e6, 1) AS session_cumulative_millions,
round(typical_cums[i] / 1e6, 1) AS typical_cumulative_millions,
round(100 * typical_cums[i] / typical_cums[14], 1) AS typical_share_of_session_pct
FROM
(
SELECT
arrayJoin(arrayEnumerate(checkpoints)) AS i,
session_cums,
arrayMap(k -> arrayAvg(x -> arrayElement(tupleElement(x, 2), k), arraySlice(prior, 1, 10)),
arrayEnumerate(checkpoints)) AS typical_cums
FROM
(
SELECT
anyIf(cums, d = session_day) AS session_cums,
arrayReverseSort(x -> tupleElement(x, 1), groupArrayIf((d, cums), d < session_day)) AS prior
FROM
(
SELECT
d,
arrayMap(cp -> arraySum(x -> if(tupleElement(x, 1) <= cp, tupleElement(x, 2), 0), mv),
checkpoints) AS cums
FROM
(
SELECT d, groupArray((minute_of_day, vol)) AS mv
FROM
(
SELECT
toDate(toTimeZone(window_start, 'America/New_York')) AS d,
toHour(toTimeZone(window_start, 'America/New_York')) * 60
+ toMinute(toTimeZone(window_start, 'America/New_York')) AS minute_of_day,
max(toFloat64(volume)) AS vol
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'AAPL'
AND window_start >= toDateTime(session_day - 20, 'America/New_York')
AND window_start < toDateTime(session_day + 1, 'America/New_York')
GROUP BY d, minute_of_day
HAVING minute_of_day >= 570 AND minute_of_day <= 960
)
GROUP BY d
)
)
HAVING length(session_cums) = 14 AND length(prior) >= 10
)
)
ORDER BY i
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