Footprint charts display the actual volume traded at each price level within a candle, broken down by aggressive buyers (market orders hitting the ask) and aggressive sellers (market orders hitting the bid). This granular view reveals exactly where buying and selling pressure occurs, exposing absorption, exhaustion, and imbalance patterns invisible on standard charts.
Bid×Ask footprint: shows buy vs sell volume at each price, Volume clusters at specific price levels, Imbalance patterns: heavy buying/selling at specific prices, Unfinished business: price levels with heavily one-sided activity, Diagonal imbalances stacking: shows momentum
Stacked imbalances on the bid side (aggressive selling) at a high = reversal short setup, Stacked imbalances on the ask side (aggressive buying) at a low = reversal long setup, Absorption patterns: heavy aggression with no price movement = opposing institutional activity
Footprint provides entry precision within broader setups, Exit when footprint shows opposing pressure developing, Use footprint to confirm or reject entries from other methods
Tick charts, 1M, 5M for footprint analysis; requires real-time data feed
Footprint charts require a significant learning curve. Start by watching how the footprint profile looks during trending vs. ranging markets before attempting to trade from them. ATAS, Sierra Chart, and Bookmap are leading platforms for footprint analysis.
Time and sales, commonly referred to as the tape, displays every executed trade in real time, showing the price, size, and whether the trade was executed at the bid or the ask. Tape reading is the art of interpreting this flow of transactions to gauge real-time buying and selling pressure, identify institutional activity, and spot absorption or exhaustion before they appear on charts.
Delta is the difference between aggressive buying volume (market orders hitting the ask) and aggressive selling volume (market orders hitting the bid) within a candle or time period. Cumulative delta tracks the running total over time. Divergence between price and cumulative delta reveals whether rallies/selloffs have genuine buyer/seller conviction.
Market Profile organises price data into 30-minute periods called TPOs (Time Price Opportunities), creating a bell-curve distribution that reveals market behaviour patterns. Developed by J. Peter Steidlmayer at the CBOT, Market Profile identifies day types (Normal, Trend, Double Distribution, etc.) and provides a statistical framework for understanding auction market theory.
The Value Area is the price range containing approximately 70% of a session's or period's total traded volume. The Value Area High (VAH) is the upper boundary and Value Area Low (VAL) is the lower boundary. These levels act as dynamic support/resistance and are central to market profile and volume profile trading strategies.