US Equity Daily Trade and Quote Guide
US Equity Daily Trade and Quote Guide
version 1.0 (Jan 2022)
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FINRA TRF AND ODD LOT TRADES 6
OFFICIAL OPEN/CLOSE IDENTIFICATION 6
DATA ORGANIZATION AND FILE FORMAT 9
APPENDIX A. FREQUENTLY ASKED QUESTIONS 16
APPENDIX B. BAR CALCULATIONS FROM TRADE AND QUOTE EVENTS 18
Algoseek Daily Trade and Quote (TAQ) data is built from top-of-book intraday quotes and trades for all listed stocks, ETNs, ETFs, ADRs, and funds from 16+ US exchanges and marketplaces.
Each US Equity has a Primary Listing Exchange considered the official Open/Close auction cross for the Equity even though Open/Close auction crosses may take place on other exchanges. This dataset includes each Equity’s Open/Close based on the primary exchange on that trade date. The Primary Exchange for a stock occasionally changes, for example, when ORCL moved to NYSE from NASDAQ in July 2013.
With more than 60 data fields, algoseek Daily TAQ dataset is the most comprehensive and detailed Daily bar product in the financial industry. It’s designed for quantitative trading, backtesting, machine learning, and other advanced applications.
Data files are in CSV (Comma-Separated Values) format. An individual CSV file is created for all symbols per trading day
algoseek Daily TAQ dataset is built from “as-is” tick data collected from live SIP feed algoseek’s co-located ticker plant servers in Equinix NY2 and NY4 data centers, connected with 10Gb fiber for low latency.
The Securities Information Processor (SIP) includes Tape A and Tape B covered by the Consolidated Tape Association (CTA) plan and Tape C covered by the Unlisted Trading Privileges (UTP) plan. The SIP links the US markets by processing and consolidating all protected bid/ask quotes and trades from every trading venue into a single and easily consumable data feed.
The SIP disseminates and calculates critical regulatory information, including the National Best Bid and Offer (NBBO) and Limit Up Limit Down (LULD) price bands, among other important regulatory information such as short sale restrictions and regulatory halts. In the highly fragmented world of US equities, the SIP is an easy way for people to get a view of the current state of the market.
Equity trades are executed on Public Exchanges (e.g., NASDAQ, BATS, NYSE, ARCA, etc.) and off the public exchanges in Dark Pools, Broker-Dealer internal crossing, and as Block Trades. Regulation National Market System (NMS) requires all trades to be reported. There are currently three FINRA Trade Reporting Facilities (TRF) that are affiliated with registered national securities exchanges and provide FINRA members with a mechanism for the reporting of transactions affected otherwise than on an exchange.
Regulation NMS allows up to 10 seconds after the Trade execution time for the trade report to be sent to an exchange’s TRF for publication. The delay can result in TRF Trade reports printed on the market data feed being out of the current NBBO.
A round lot (or board lot) is a normal unit of trading of a security, which currently is 100 shares of stock in the US. Any quantity less than 100 shares is referred to as an odd lot. Odd lots are not subject to the Regulation NMS rules requiring execution to be within the current NBBO. Broker-dealers send odd lots to the exchange paying the most rebate per share and not the best execution price.
Note: Odd lot executions can create unrealistic high/low trade prices in an OHLC bar.
The opening and closing trades are defined as the Opening and Closing Trade Cross on the Primary exchange. Identifying these trades is simple in theory; in actual practice, it has only become easy in the last few years as all the Primary Exchanges began publishing an Official Open and Close. algoseek identifies the Open/Close cross based on the Trade flags published with each trade.
Please refer to Appendix B for a detailed daily bars logic.
algoseek selects the Open Trade for an equity on the Primary Exchange from the priority order of trade types in this table.
Table 1: Open Trade from Trade Type
Priority | Open Order Type | Description |
1 | Primary Official Open | The Official Open trade on the Primary Exchange |
2 | Primary Opening Print | The Opening Print trades on the Primary Exchange |
3 | Regular Opening Trade | The largest regular size trade on the Primary Exchange from market Open to (Open + 15 minutes), which is normally 09:30 to 09:45 ET |
4 | First Trade Market Hours | The first regular trade on the Primary Exchange after the (Open + 15 minutes). This only applies to stocks with very small volumes |
Since the exchanges have used different condition flags (or none at all) to identify the closing cross over the years, algoseek uses the following priority order to identify the Closing trade for a stock.
Table 2: Closing Trade for a Stock
Priority | Close Order Type | Description |
1 | Primary Official Close | The Official Close on Primary Exchange |
2 | Primary Closing Print | The sum of closing print trades on the Primary Exchange. The sum is needed as some exchanges (e.g. ARCA) used to print multiple closing prints instead of a single trade with the total size |
3 | Regular Closing Trade | The largest regular size trade on the Primary Exchange from Close to (Close + 5 minutes), which is normally 16:00 to 16:05:00 ET (except for half-days and early closes) |
4 | Last Trade before Close | The last trade on the Primary Exchange before the market Close |
The Bid/Ask size in a bar field is the total aggregate from all the exchanges that have a matching price to the NBBO Bid/Ask price.
When trading and quoting activities are inactive, for example, during extended trading hours or with an illiquid stock, bid prices can be extremely low, and ask prices can be extremely high. An exchange can also send a bad price, for example, a stock has a bid of $12.05 then an exchange sends a bid of $212.05.
To make Daily TAQ dataset usable for illiquid stocks and ETFs/ETNs, algoseek filters out extreme quotes by the following two criteria:
Bid price < (0.05 x average price of last 10 days)
Ask price > (10 x average price of last 10 days)
The data has trade volume separated into fields:
ListedMarketHoursVolume: Trades done on the listed exchanges during market hours
ListedTotalVolume: Trades done on the listed exchanges during the whole trading day
FinraMarketHoursVolume: Trades done in Dark Pools, internally by Broker-Dealers, or on an Over-the-Counter (OTC) market reporting to FINRA during market hours
FinraTotalVolume: Trades done in Dark Pools, internally by Broker-Dealers, or on an Over-the-Counter (OTC) market reporting to FINRA during the whole trading day
The Volume data is separated to make it easy to understand the trading for either the public-listed exchanges or private non-public trading.
The US Stock Market trading hours are split into the pre-market, market, and post-market hours.
Pre-Market Hours: 04:00:00 to 09:30:00 (excluding)
Market Hours: 09:30:00 to 16:00:00 (excluding)
Post-Market Hours: 16:00:00 to 20:00:00
Note: Occasionally trade events are recorded several minutes after 20:00.
The “Open” normally refers to the Opening Cross at 09:30:00 ET. The “Close” normally refers to the Closing Cross at 16:00:00 ET.
The stock market is closed for trading on most US holidays. For reference, algoseek publishes a list of historical holidays, which is available at s3://us-equity-market-holidays/holidays.csv (direct download link: https://us-equity-market-holidays.s3.amazonaws.com/holidays.csv).
Markets sometimes close early at 13:00:00 on the day before holidays such as Independence Day and Thanksgiving. You can download algoseek’s early close date and time list from AWS S3 storage at s3://us-equity-market-holidays/earlycloses.csv (or use a direct link us-equity-market-holidays.s3.amazonaws.com/earlycloses.csv).
algoseek provides Equity market data in plain text CSV files. The first row of CSV file is a fixed header and then rows of data corresponding to individual bars. By default, data is organized into one file per trading day. It means, for example, that all daily data for Mar 3, 2020, are stored in a separate CSV file
Table 3 (below) provides the name, base event, default value, brief description, and data type for each data field (column) in Equity Daily TAQ CSV file.
Table column “Missing” indicates a default behavior in case the data field value is not present or cannot be calculated. The column value “Never” means that the data field value is always present.
Table 3: CSV File Fields Schema
Field | Base Event | Type (Format) | Missing | Description |
SecId | - | integer | Never | algoseek unique Security ID |
TradeDate | - | string (yyyymmdd) | Never | Trading date in yyyymmdd format |
Ticker | - | string | Never | Symbol name |
Name | - | string | Blank | Name of equity security |
PrimaryExchange | - | string | Blank | Primary listing exchange on this TradeDate |
ISIN | - | string | Blank | ISIN as of this trade date. Optional. |
OpenBidPrice | Quote | decimal | Never | NBBO Bid Price as of bar Open, (e.g., current price as of bar start) |
OpenBidSize | Quote | integer | Never | Total Size from all exchanges with OpenBidPrice |
OpenAskPrice | Quote | decimal | Never | NBBO Ask Price as of bar open (e.g. current price as of bar start) |
OpenAskSize | Quote | integer | Never | Total Size from all Exchanges with NBBO OpenAskPrice |
OpenTradePrice | Trade | decimal | Blank | Price of the first trade |
OpenTradeSize | Trade | integer | Blank | Number of shares of the first trade |
OpenTradeTime | Trade | string (timestamp) | Blank | Time of the first trade |
HighBidPrice | Quote | decimal | Never | Highest NBBO bid price |
HighBidSize | Quote | integer | Never | Total size from all exchanges with HighBidPrice |
HighBidTime | Quote | string (timestamp) | Never | Time of highest NBBO bid price |
HighAskPrice | Quote | decimal | Never | Highest NBBO ask price |
HighAskSize | Quote | integer | Never | Total size from all exchanges with HighAskPrice |
HighAskTime | Quote | string (timestamp) | Never | Time of highest NBBO ask price |
HighTradePrice | Trade | decimal | Blank | Price of the highest trade |
HighTradeTime | Trade | string (timestamp) | Blank | Time of the highest rade |
LowBidPrice | Quote | decimal | Never | Lowest NBBO bid price of a bar |
LowBidSize | Quote | integer | Never | Total Size from all exchanges with LowBidPrice |
LowBidTime | Quote | string (timestamp) | Never | Time of the lowest bid |
LowAskPrice | Quote | decimal | Never | Lowest NBBO Ask price of a bar |
LowAskSize | Quote | integer | Never | Total size from all exchanges with LowAskPrice |
LowAskTime | Quote | string (timestamp) | Never | Time of the lowest ask |
LowTradePrice | Trade | decimal | Blank | Price of the lowest trade |
LowTradeTime | Trade | string (timestamp) | Blank | Time of the lowest trade |
CloseBidPrice | Quote | decimal | Never | NBBO Bid Price at bar Close |
CloseBidSize | Quote | integer | Never | Total Size from all Exchange with CloseBidPrice |
CloseAskPrice | Quote | decimal | Never | NBBO Ask Price at bar Close |
CloseAskSize | Quote | decimal | Never | Total Size from all Exchange with CloseAskPrice |
CloseTradePrice | Trade | decimal | Blank | Price of last Trade |
CloseTradeSize | Trade | integer | Blank | Number of shares of last trade |
CloseTradeTime | Trade | string (timestamp) | Blank | Time of the last Trade |
MinSpread | Quote | decimal | Never | Minimum Bid-Ask spread size. This may be 0 if the market was crossed during the bar. If there is a negative spread due to back quote, make it zero |
MaxSpread | Quote | decimal | Never | Maximum NBBO Bid-Ask spread in a bar |
CancelSize | Trade | integer | Blank | Total shares canceled |
NBBOQuoteCount | Quote | integer | 0 | Number of Bid and Ask NNBO quotes during the bar period |
TradeAtBid | Quote Trade | integer | 0 | Sum of trade volume that occurred at or below the bid (a trade reported/ printed late can be below the current bid) |
TradeAtBidMid | Quote Trade | integer | 0 | Sum of trade volume that occurred between the bid and the midpoint: TradeAtBidMid = (Trade Price > NBBO Bid) & (Trade Price < NBBO Mid) |
TradeAtMid | Quote Trade | integer | 0 | Sum of trade volume that occurred at mid. TradePrice = NBBO MidPoint |
TradeAtMidAsk | Quote Trade | integer | 0 | Sum of ask volume that occurred between the mid and ask. |
TradeAtAsk | Quote Trade | integer | 0 | Sum of trade volume that occurred at or above the Ask |
TradeAtCrossOrLocked | Quote Trade | integer | 0 | Sum of trade volume for the bar when NBBO is locked or crossed. Locked is Bid = Ask Crossed is Bid > Ask |
ListedMarketHoursVolume | Trade | integer | 0 | Public Listed exchanges trading volume during regular market hours only |
ListedMarketHoursTrades | Trade | integer | 0 | Number of trades during regular market hours in public listed exchanges |
ListedTotalVolume | Trade | integer | 0 | Public Listed exchanges trading volume for the whole day (includes pre, regular, and post-market) |
ListedTotalTrades | Trade | integer | 0 | Public Total number of trades for the trade date (includes pre-, regular, and post-market) in listed exchanges |
FinraMarketHoursVolume | Trade | integer | 0 | FINRA/TRF trading volume during regular market hours only (normal trade day is 09:30:00 to 16:00:00 ET). FINRA/TRF represents off-exchange trading. |
FinraMarketHoursTrades | Trade | integer | 0 | The number of FINRA/TRF trades during regular market hours. FINRA/TRF represents off-exchange trading. |
FinraTotalVolume | Trade | integer | 0 | FINRA/TRF trading volume for the whole day (includes pre-, regular, and post-market) |
FinraTotalTrades | Trade | integer | 0 | Total number of FINRA/TRF trades for the trade date (includes pre, regular, and post-market). FINRA/TRF represents off-exchange trading. |
UptickVolume | Trade | Integer | 0 | Total number of shares traded with upticks during the bar. Uptick = (Trade Price > Last Trade Price) |
DowntickVolume | Trade | Integer | 0 | Total number of shares traded with downticks during the bar. Downtick = (Trade Price < Last Trade Price) |
RepeatUptickVolume | Trade | Integer | 0 | Total number of shares where trade price is the same (repeated) and last price change was up during the bar. Repeat Uptick = (Trade Price == Last Trade Price) & (Last Tick Direction == Up) |
RepeatDowntickVolume | Trade | Integer | 0 | Total number of shares where trade price is the same (repeated) and last price change was down during the bar. Repeat Downtick = (Trade Price == Last Trade Price) & (Last Tick Direction == Down) |
UnknownTickVolume | Trade | Integer | 0 | When the first trade of the day takes place, the tick direction is “unknown” as there is no previous trade to compare it to. This field is the volume of the first trade after 4 AM and acts as an initiation value for the tick volume directions. |
MarketVWAP | Trade | decimal | Blank | Volume weighted average price during regular market hours, normally between 09:30:00 and 16:00:00 ET plus the Opening and Closing Cross (which may be after 16:00:00 ET). |
DailyVWAP | Trade | decimal | Blank | Volume weighted average price for the whole day including pre, regular, and post-market trades. |
TradeToMidVolWeight | Quote Trade | decimal | Blank | Indicator for the bar period showing the sum difference between each trade’s price and NBBO midpoint at the time of the trade weighted by volume. It returns a positive or negative number indicating buying or selling pressure. Note: Blank if no Trades. FINRA reported trades are not included |
TradeToMidVolWeightRelative | Quote Trade | decimal | Blank | Indicator for the bar period showing the sum difference between each trade’s price and NBBO midpoint at the time of the trade relative to the spread and weighted by volume. It returns a positive or negative number indicating buying or selling pressure. Note: Blank if no trades. FINRA reported trades are not included. |
TimeWeightBid | Quote | decimal | Blank | Time-weighted average price of National Best Bid during the bar period |
TimeWeightAsk | Quote | decimal | Blank | Time-weighted average price of National Best Ask during the bar period |
MarketVWAP and DailyVWAP: Market volume weighted average price (VWAP) is calculated as
sum(TradePrice x TradeSize) / sum(TradeSize)
where
sum(TradeSize) = ListedMarketHoursVolume + FinraMarketHoursVolume
TradeToMidVolWeight, TradeToMidVolWeightRelative: volume-weighted trade to the midpoint is calculated as the following sum over all trades during the bar
sum(Trade_Shares x (Trade_Price – NBBOMidpoint)) / sum(Trade_Shares)
Similarly, volume-weighted relative trade to the midpoint
sum(Trade_Shares x (Trade_Price – NBBOMidpoint) / max(1, NBBOSpread)) / sum(Trade_Shares)
where midpoint and spread values are calculated based on the last NBBO
NBBOMidpoint = (NBBOBid_InPennies + NBBOAsk_InPennies) / 2
NBBOSpread = NBBOAsk_InPennies - NBBOBid_InPennies
If Bid == Ask, then it is assumed the midpoint of the Bid/Ask is that price. If the market is crossed (NBBO Bid > NBBO Ask), then it is not possible to know what the correct price is so the last good NBBO Bid and Ask (including the Bid == Ask case) will be used.
TimeWeightBid, TimeWeightAsk: time-weighted bid and ask are calculated with
sum(Price_{n} x (Price_{n+1}_Time - Price_{n}_Time))/Bar_Duration
where Price_0 is the bar open price.
The Low/High Bid/Ask is the low and high NBBO price for the bar range. Very often, a trade may not occur at these prices, as the price may only last a few seconds or executions are being crossed at mid-point due to hidden order types that execute at mid-point or as price improvement over current Bid/Ask.
Total volume can be calculated as
TotalVolume = ListedMarketHoursVolume + FinraMarketHoursVolume
Null values at columns OpenTradePrice (CloseTradePrice) and OpenTradeSize (CloseTradeSize) for low liquid symbols are caused by the absence of trades around the Open (Close) time for such tickers. At the same time, trades can appear later (earlier) in the SIP feed, that is why we only see CloseTradePrice (OpenTradePrice) and CloseTradeSize (OpenTradeSize).
algoseek provides official opening/closing cross price based on stock's primary exchange, event flags, time, and volume.
Most Data vendors simply use the first/last trade, or the opening/closing cross from a random exchange as opening/closing price.
Older versions of Excel will automatically convert the TimeBarStart field into an Excel format timestamp, but this fails when TimeBarStart is HHMMSSmmm (millisecond) or HHMMSSmmmiiinnn (nanosecond). For timestamp with the nanosecond (millisecond) format, import the data using Excel “From Text” option and set the data type for column “TimeBarStart” to “Text”, so Excel does not automatically try to convert it.
This section describes the logic for minute bar calculations based on events from the Trade and Quote dataset. Please also refer to the Equity Trade and Quote Guide for more details of data fields and condition flags used.
In this section, Market hours refer to 9:30:00 (including) - 16:00:00 (excluding) for regular trading days and to 9:30:00 (including) - 13:00:00 (excluding) when there was an early close.
The Opening Trade is selected from the following priority order list:
The Regular Open corresponds to the first event satisfying all the conditions below:
Regular First is the first event satisfying all the conditions below:
The Closing Trade is selected from the following priority order list:
The Regular Close is the last event satisfying all the condition below:
Regular Last is the last event satisfying all the conditions below:
Daily High is the first event satisfying all the conditions below:
Daily Low corresponds to the first event satisfying all the conditions below:
You should also exclude any event with one or more flags listed in Table 4.
Table 4: Flags for Quote Events to be Excluded During Bar Calculations
Quote Events | |
Bit Mask Position | Flags |
3 | qClosing |
4 | qNewsDissemination |
5 | qNewsPending |
6 | qTradingRangeIndication |
7 | qOrderImbalance |
13 | qResume |
You should only include events with one or more flags listed in Table 5. If the event has any of the exclude flags enabled, it is not included. If the event does not contain any flags from the include list, it is not included in bar calculations.
Table 5: Flags for Quote Events to be Included During Bar Calculations
Quote Events | |
Bit Mask Position | Flags |
0 | qRegular |
1 | qSlow |
2 | qGap |
11 | qOpeningQuote |
21 | qFastTrading |
Additionally, you should filter out test quote events using the following approach:
MinPrice = 0.05 * AveragePrice
MaxPrice = 10 * AveragePrice
MinPrice = 0.03
MaxPrice = 19998
If a Quote price is lower than MinPrice or higher than MaxPrice - the event is excluded.
Note: We do not recommend applying price filtering for Trade events.