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Using Footprint Charts

Execution Precision

8 min read

Read footprint charts to see the volume traded at each price level within every candle, revealing hidden institutional activity.

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Order Flow Foundations

10 min

Understanding Depth of Market

8 min

Spoofing, Stacking & Iceberg Orders

8 min

Order Flow Confirmation

8 min

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A candlestick tells you that buyers won the period. A footprint chart tells you exactly where they fought, how hard they pushed, and whether they are still in control.


What Footprint Charts Show

A footprint chart decomposes each candlestick into its individual price levels, displaying the volume traded at every price within that candle. Instead of seeing a single bar with open, high, low, close, and total volume, you see a grid showing exactly how much buying and selling occurred at each tick.

This granularity reveals what candles hide: where the real battles happened, whether a move was driven by genuine aggression or thin liquidity, and whether the winners are likely to hold their ground.

On Trading Glass, the cluster chart view provides this footprint-level detail, showing bid volume, ask volume, and delta at each price level within every candle.


Anatomy of a Footprint Cell

Each price level within a footprint candle typically displays two numbers and their relationship:

ComponentMeaning
Bid VolumeVolume traded at the bid (aggressive sellers)
Ask VolumeVolume traded at the ask (aggressive buyers)
DeltaAsk Volume minus Bid Volume at that level
Total VolumeBid + Ask volume at that level

A positive delta at a price level means more aggressive buying occurred there. A negative delta means sellers dominated that level.

Level Delta

Delta at Price Level = Ask Volume - Bid Volume

Positive delta = buyers crossed the spread more often Negative delta = sellers crossed the spread more often


Reading Delta at Each Price Level

The distribution of delta across price levels within a candle reveals the internal structure of the move.

Strong Bullish Candle

A genuinely strong bullish candle shows positive delta concentrated at the upper price levels of the candle. This means buyers were aggressively lifting offers as price moved higher -- they were chasing price up, indicating real demand.

Weak Bullish Candle

A bullish candle with negative delta at the top and positive delta only at the bottom tells a different story. Buyers showed up early but could not sustain pressure at higher prices. Sellers absorbed the rally at the highs. This candle may look bullish on a standard chart but is internally weak.

Strong Bearish Candle

Negative delta concentrated at the lower levels of a bearish candle means sellers aggressively hit bids as price fell. They pushed through support and continued pressing. This is genuine selling pressure.

Focus on the Extremes

The most informative levels in a footprint candle are the high and the low. Heavy buying at the high suggests continuation potential. Heavy selling at the low suggests further downside. Activity at the extremes shows whether the side that pushed price to that level still has conviction.


Identifying Absorption

Absorption occurs when one side absorbs the aggression of the other without yielding ground. On a footprint chart, absorption appears as:

  • High volume at a single price level where price did not move through
  • Large bid volume at the candle low on a bullish candle -- sellers hit bids aggressively, but buyers absorbed every contract and price bounced
  • Large ask volume at the candle high on a bearish candle -- buyers lifted offers, but sellers absorbed the buying and price reversed

BTC/USDT example: A 5-minute candle shows BTC dipping to $93,400. At the $93,400 level, 85 BTC of sell volume was absorbed against 90 BTC of buy volume. Despite heavy selling, price held and closed the candle at $93,650. The footprint shows a defended level.

Absorption vs Exhaustion

Absorption means a defender is actively absorbing aggressive orders. Exhaustion means the aggressor simply ran out of steam. Both can cause price to stall, but absorption implies a large participant is defending a level intentionally, which is more significant.


Identifying Exhaustion

Exhaustion is the opposite pattern. Price pushes in one direction, but the volume at each successive price level diminishes. The move is running out of fuel.

On a footprint chart, exhaustion looks like:

  • Decreasing delta at each new price level in the direction of the move
  • The final few price levels show minimal volume compared to the origin of the move
  • A long wick with almost no volume at the tip

BTC/USDT example: BTC rallies from $94,000 and the footprint shows 120 BTC of ask volume at $94,200, 80 BTC at $94,400, 30 BTC at $94,600, and only 8 BTC at the $94,800 high. Buying dried up progressively. The wick to $94,800 is exhaustion, not strength.


Imbalance Patterns

An imbalance occurs when one side overwhelms the other at a specific price level, typically by a ratio of 3:1 or more.

Buying Imbalance

Ask volume exceeds bid volume by 300% or more at a price level. Multiple consecutive levels showing buying imbalance indicate aggressive, one-sided demand. These clusters often mark the origin of a strong move and can act as support on a retest.

Selling Imbalance

Bid volume exceeds ask volume by the same ratio. Clusters of selling imbalance mark distribution or aggressive supply, and they can act as resistance on a retest.

PatternFootprint SignatureImplication
Buying imbalance cluster3:1+ ask:bid ratio across multiple levelsStrong demand zone, potential support
Selling imbalance cluster3:1+ bid:ask ratio across multiple levelsStrong supply zone, potential resistance
Single-level imbalanceOne isolated extreme ratioLess reliable, may be noise

Practical Reading Methodology

Step 1: Identify the Context

Before reading any footprint detail, know where you are on the higher timeframe. Is price at support, resistance, in a range, or trending? Footprint data is only useful when paired with structural context.

Step 2: Read the Candle Extremes

Check the high and low of the candle. Who dominated at the extremes? If buyers dominated the high, expect continuation. If sellers dominated the low, expect further selling.

Step 3: Check for Volume Concentration

Where did most of the volume trade within the candle? Volume concentrated near the close suggests conviction. Volume concentrated near the open with a reversal by the close suggests rejection.

Step 4: Look for Imbalance Clusters

Scan for levels where one side overwhelmed the other by 3:1 or more. Mark these as potential reaction points for future retests.

LONGExample Tradewin
Entry
$93,450
Stop Loss
$93,100
Take Profit
$94,250
R:R
2.3:1

Footprint showed absorption at support. 5-min candle low at $93,400 had 95 BTC bid volume absorbed by buyer. Entered on close above $93,450.

BTC/USDT dropped into the $93,400-$93,500 support zone identified on the 1-hour chart. The 5-minute footprint candle showed massive volume at $93,400 with positive delta -- buyers absorbed the selling. Entry was taken on the close of the absorption candle with stop below the defended level.


Common Mistakes

  • Reading every candle -- most candles contain no actionable footprint information. Focus on candles at key levels where you expect a reaction
  • Ignoring timeframe -- a 1-minute footprint is noisy. Use 5-minute or larger candles for clearer signals unless you are scalping
  • Confusing high volume with direction -- high volume at a level means activity, not direction. Check whether the delta is positive or negative to determine who won

Key Takeaways

  • Footprint charts decompose each candle into volume at every price level, revealing the internal structure of price moves
  • Delta at each level shows whether aggressive buyers or sellers dominated that specific price
  • Absorption (high volume, price holds) signals a defended level with a large participant on the other side
  • Exhaustion (decreasing volume at successive levels) signals a move running out of fuel
  • Imbalance clusters of 3:1 or greater mark potential support and resistance zones for future retests
  • Always read footprint data within the context of higher-timeframe structure and key levels