Cboe Global Markets

U.S. Equities Market Volume Summary

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  • Notional Value Summary
  • Volume Summary
  • Today
  • 5 Day Avg
  • MTD
Matched Volume Tape ATape BTape CMarketToday5 Day
NYSE (P,N,A,C,M) 779,977,752348,018,059462,053,1221,590,048,93318.75%18.09%
NASDAQ (B,X,Q) 226,896,777124,909,075887,561,7271,239,367,57914.62%14.53%
Cboe (Z,Y,K,J) 226,770,457217,259,076486,331,501930,361,03410.97%10.52%
Investors Exchange (V) 95,856,11434,251,25685,628,210215,735,5802.54%2.60%
Members Exchange (U) 27,128,79244,833,20686,396,914158,358,9121.87%1.93%
MIAX Pearl (H) 19,467,90326,313,29941,446,83487,228,0361.03%1.17%
LTSE (L) 20,885,6501,884,57419,866,28042,636,5040.50%0.46%
Matched Total1,396,983,445797,468,5452,069,284,5884,263,736,57850.29%49.31%
 
FINRA &TRF Volume
TRFs (DQ,DN,DB) 1,094,270,7041,042,857,1222,078,100,9264,215,228,75249.71%50.69%
NASD & TRF Total1,094,270,7041,042,857,1222,078,100,9264,215,228,75249.71%50.69%
 
Total Consolidated Volume
Total2,491,254,1491,840,325,6674,147,385,5148,478,965,330100%100%

Data as of 17:04 29/11/2024.
All share and notional values delayed at least 20 minutes.

If using this data in a published report, please cite Cboe Global Markets as the source.

This data display automatically refreshes every minute during trading hours.

"Notional Value", which is also referred to as "Dollar Value Traded", is calculated by multiplying the execution price of each transaction by the total number of shares executed in each transaction. This method of calculating market share, as opposed to simply using the total number of shares that traded hands, can be a better representation of the actual "size" of a market. The larger the Notional Value traded, the more risk that actually changed hands. By way of example, 100 shares of stock ABC at $362 per share is a much larger transaction than 100 shares of stock XYZ at $2.20 a share. Other assets classes, such as futures and options, and most other equity markets outside of the U.S., historically have used Notional Value as an index into how much activity takes place on those markets. Cboe is the first to offer a real-time view, market-wide, into Notional Value traded in the U.S. cash equity markets.

U.S. Equities Market Quality

Equity Market Share
This bar chart shows U.S. Equities trading volume in terms of market share across exchange venues (market share is calculated as a percentage of total consolidated U.S. Equities volume, including off-exchange volume). Market share is further broken out by volume executed in continuous trading and volume executed in auctions on primary listing venues.
Equity Market Share by Execution Price Relative to NBBO
This chart breaks out continuous trading volume (9:30am to 4:00pm) by volume executed at the NBBO, within the NBBO (excluding midpoint), and at the midpoint price. All volume figures are expressed in terms of market share (auction market share is not shown).
NBBO Quote Quality
The NBBO Quote Quality chart visualizes two key metrics used to measure market quality and contribution to price discovery: time at the inside (x-axis) and size when at the inside (y-axis). Specifically, these are measured as "Average Size at the Inside" and "Percentage of Time at the Inside".
Average Size at the Inside
Average Size at the Inside is the time-weighted average number of shares displayed when at the inside (NBBO) price.
Percentage of Time at the Inside
Percentage of Time at the Inside is the percentage of time that a market has both a best bid and best offer at the inside (NBBO) price.
NBBO Quote Market Share
NBBO Quote Market Share is the notional value displayed at the inside (NBBO) price expressed as a percentage of the overall notional value displayed at the inside across all markets.

The S&P 500 constituent list is available on the public web site below and is not guaranteed to be complete on any given day: http://us.spindices.com/indices/equity/sp-500

Note not all venues trade all symbols, which can affect aggregate results (for example, NYSE does not trade Tape B or Tape C)

Data source: SIP's quote and trade data for the previous month.