Times & Sales is a comprehensive tool that provides crucial variables for analyzing Aggression Flow.
It displays the tick-by-tick history for a specific symbol, allowing for detailed analysis.
To open Times & Sales, go to the Tools menu:
With Times & Sales open, enable the tabs by right-clicking anywhere on the tool:
Trades
The Trades tab displays every trade that passed through the Order Book and was executed, broken down by Date, Price, and Quantity.
The Aggressor is the side that took the initiative in the trade. For an order to execute, a Buyer and a Seller must match their buying/selling intent at the same price level. If this interest is not aligned, no trade occurs. Therefore, for a trade to happen, one side must take the initiative to close the transaction by buying or selling at that specific price level.
Note that trades executed on instruments from brokers like Activ Trades, Zero Markets, FX Globe, and DooPrime will not display the Aggressor column, as trades occur internally between users on the same brokerage/exchange network.
NVDA Example (ActivTrades):
For CME and Nasdaq instruments with full market data (Real-Time Level 2), the Aggressor column in Times & Sales will identify either Buyer or Seller.
GOOGL Example (Nasdaq):
Price only moves when liquidity is consumed—that is, when large trades occur with significant and consistent volume.
Original Order
The Original Order tab optimizes market reading: while the Trades tab displays individual executions, this tab shows the original orders routed by a specific player aggressively hitting or lifting the bids/asks in the Order Book:
An asterisk (*) next to the Price column indicates that the aggression swept through multiple price levels. When a player's volume is large enough to consume the ask above or bid below, they end up filling across multiple orders.
In the previous image, for example, you can see that 15 contracts of MNQU6 were traded at 28,769.75*. Following the logic above, not all contracts were filled at that exact price, due to a lack of available liquidity at that specific price point.
Notional Volume:
The calculation used to determine Notional Volume on the Balance tab of Times & Trades is Total Buy Notional Volume minus Total Sell Notional Volume.
To calculate the Notional Volume for each player, take the execution price of the trade, multiply it by the instrument's Multiplier Factor, and then multiply by the trade quantity. After calculating the Notional Volume for each individual trade, sum all quantities to arrive at the Total Buy or Sell Notional Volume.
To check the Multiplier Factor for any instrument, go to View > Asset Information:
In the Asset Information window, look for the "Qty. Mult." field:
Execution Price x Multi Qty x Quantity = Trade Notional Volume
Total Buy/Sell Notional Volume = Sum of Trade Notional Volume for the respective side.
CME Example: MNQU6
Execution Price x Multi Qty x Quantity = Trade Notional Volume
29,377 x 2 x 1 = 58,754
NASDAQ Example: NVIDIA
Execution Price x Multi Qty x Quantity = Trade Notional Volume
210,49 x 1 x 1 = 210,49
Configuring Times & Sales
You can set up color coding or volume filters, among other settings, by right-clicking on the tool and selecting Settings:
When using color filters, keep in mind the minimum lot size for the instrument, as the value set in the "Lot" field determines which quantities will be highlighted.
For example:
BRA50: 5 lots = 0.05 quantity
You can also find more information on minimum lot sizes for each symbol under View > Symbol Information.
You can also filter a custom timeframe in Times & Sales. The default setting covers the current trading session, but you can expand it by setting a custom interval in Settings:
Important: When setting up a "Custom Interval" in Times & Trades, each asset has a maximum limit on how many historical days you can request.
Note: The maximum available historical days directly depend on the trading volume of the instrument. The figures shown in this article are subject to variation based on overall trade activity. Generally, high-volume instruments may offer fewer days of historical tick data.
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