Footprint Charts

A footprint chart shows the buy and sell volume traded at every individual price level inside a candle — turning a single bar into a detailed map of order flow instead of just four OHLC values.

What is a footprint chart?

A standard candlestick tells you only where price opened, closed, and how far it travelled. A footprint chart keeps that bar shape but fills it in: each price level inside the bar is annotated with how much volume traded there, split into aggressive buying (lifting the ask) and aggressive selling (hitting the bid). The result is a vertical column of numbers — or a colour-graded heatmap — that reveals where inside the bar the activity actually happened.

Because crypto markets trade continuously and print every transaction, footprint charts are a natural fit: the raw tape is rich enough to reconstruct the bid/ask split at each level without estimation.

Why does it matter?

Two bars can look identical on a candlestick chart yet describe completely different battles. One green bar might be steady accumulation across every level; another might be a single violent sweep with no follow-through. Footprint charts make that difference visible. They help you see:

• Absorption — heavy selling that fails to push price lower, suggesting resting buyers are soaking it up.
• Imbalances — price levels where buy volume dwarfs sell volume (or vice versa) by a wide margin.
• Exhaustion — thinning volume at the extreme of a move, where the last aggressors run out.

These are descriptive observations about how volume was distributed — not trading signals or predictions.

How traders use it

Order-flow traders typically read footprint charts at the lower timeframes where individual prints still matter — 1m to 15m for crypto. Common workflows:

• Watching the point of control (the most-traded level) within each bar migrate up or down as a trend develops.
• Looking for a cluster of buy imbalances stacking just above a support level before deciding the level held.
• Comparing the delta (net buy-minus-sell) of consecutive bars to gauge whether aggression is building or fading.

Example on a chart

Common mistakes

• Reading footprints on too high a timeframe. On a 4h bar the level-by-level detail blurs together; footprints are most informative on the timeframes where single prints are still distinguishable.
• Treating an imbalance as a signal. A lopsided level describes what already traded — it is context, not a forecast.
• Ignoring the surrounding structure. Absorption at a random level means little; the same absorption at a tested support or a volume-profile node is far more meaningful.
• Confusing volume with delta. A high-volume level can still have near-zero delta if buying and selling were balanced.

How TSP Core visualizes it

TSP Core renders footprints as live cluster columns directly on the price chart, updating from real-time market data as each trade prints. Every bar is divided into configurable price bands; within a band you can see traded volume and the buy/sell split, with the most active levels emphasised. The live forming bar updates tick-by-tick and the completed bar is locked to the same values that land in history, so what you watch in real time matches what you review later.