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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Where the money trades: US dollar volume by liquidity rank tier, regular hours, June 30 2026
Where the money trades: US dollar volume by liquidity rank tier, regular hours, June 30 2026
| liquidity_tier | tickers | dollar_volume_bn | pct_of_dollar_volume |
|---|---|---|---|
| top 10 names | 10 | 205.04 | 22.5 |
| ranks 11 to 50 | 40 | 186.44 | 20.5 |
| ranks 51 to 200 | 150 | 182.83 | 20.1 |
| ranks 201 to 1000 | 800 | 218.57 | 24 |
| ranks beyond 1000 | 10966 | 117.83 | 12.9 |
the exact SQL behind every number
WITH tv AS (
SELECT ticker,
sum(toFloat64(close) * toFloat64(volume)) AS dollar_volume
FROM global_markets.delayed_stocks_minute_aggs
WHERE toDate(toTimeZone(window_start, 'America/New_York')) = toDate('2026-06-30')
AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
+ toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959
GROUP BY ticker
HAVING sum(toFloat64(close) * toFloat64(volume)) > 0
),
ranked AS (
SELECT ticker, dollar_volume,
row_number() OVER (ORDER BY dollar_volume DESC) AS rk
FROM tv
)
SELECT multiIf(rk <= 10, 'top 10 names',
rk <= 50, 'ranks 11 to 50',
rk <= 200, 'ranks 51 to 200',
rk <= 1000, 'ranks 201 to 1000',
'ranks beyond 1000') AS liquidity_tier,
count() AS tickers,
round(sum(dollar_volume) / 1e9, 2) AS dollar_volume_bn,
round(100 * sum(dollar_volume) / (SELECT sum(dollar_volume) FROM tv), 1) AS pct_of_dollar_volume
FROM ranked
GROUP BY liquidity_tier
ORDER BY min(rk)
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