Footprint charts and order flow explained
A footprint chart shows the volume traded at each price level inside a candle, split into buying at the ask and selling at the bid. From that you read delta, the point of control and imbalances. It tells you how a candle was built, not where price will go. Treat it as context for a rule you then test, never as a signal on its own.
Key takeaways
- An ordinary candle gives four numbers. A footprint gives you the volume at every price inside it, by side.
- Three summaries do most of the work: delta, point of control and imbalance.
- It describes what already traded. It does not forecast.
- Disagreement between delta and price is the interesting case, and only if you then check what followed across many examples.
- The value is in turning an observation into an explicit rule and testing it.
Why would you want to look inside a candle?
A candle compresses a period of trading into an open, a high, a low and a close. That is a very lossy summary. Two candles that look identical can be built from opposite behaviour: one on thin, evenly matched trading, the other on heavy one-sided buying into a single price shelf. They print the same green bar.
Order flow is the record of the actual trades that built the candle. A footprint chart is the most common way to draw it, because it keeps the one thing a candle throws away: how much traded at each price, and which side was aggressive.
How is a footprint chart laid out?
Each candle becomes a column of price rows. Beside every row are two numbers. The left one is volume that traded at the bid, which is sellers hitting resting buy orders. The right one is volume that traded at the ask, which is buyers lifting resting sell orders. Call them sell and buy.
Highlights then do the summarising so you do not have to read every cell. The row with the most volume is marked, rows where one side dominates are coloured, and the candle's net result is shown as a single figure. A cell reading 120 against 480 means 120 sold and 480 bought at that price, and buyers were four times as aggressive there.
Because it is built from individual trades, a footprint needs tick-level data. That is why it is common for liquid crypto markets and patchier elsewhere. AKQX draws it for ten crypto pairs from 1 minute to 1 day.
The three readings that matter
Delta
Delta is buy volume minus sell volume. Positive means buyers were the aggressive side, negative means sellers were. Per row it shows where aggression sat, and summed for the candle it shows who won. The case worth noticing is delta that disagrees with price: a candle that closes up on negative delta means aggressive selling was met by patient buyers, which is information about who absorbed the flow.
Point of control
The point of control is the price row with the most volume in the candle, the price where the most business was done. It often becomes a reference that price revisits, though never reliably. The useful comparison is between the POC and the close: a close far from the POC means most trading happened somewhere other than where price finished.
Imbalance
An imbalance flags a level where buying and selling are heavily lopsided, usually by a set ratio such as 3 to 1. Several in a row are read as sustained one-sided aggression. The ratio is a setting rather than a law, so a stricter one flags fewer, stronger cases and a looser one flags many.
A worked example, with made-up numbers
Illustrative only. A candle ranges from 100.0 to 101.0 and closes at 100.9, near its high. The footprint shows 2,400 bought and 3,100 sold in total, so delta is minus 700 even though price closed up. The POC sits at 100.4 with 22% of the candle's volume, well below the close.
A reading: sellers were the aggressive side and most business was done low in the range, yet price closed near the top, so buyers absorbed the selling and pushed price back up. That is an observation, not a trade. To use it you would define the pattern precisely: delta below a threshold on a candle that closes in its top quarter, then ask a testable question, such as what happened over the following five candles across a long history.
A short practice routine
Reading a footprint is a skill, and like most skills it comes from repetition with feedback. A routine that does not involve risking anything:
- Pick one instrument and one timeframe, and stay with them for a while. Switching constantly means never learning what normal looks like there.
- Before you read the numbers, write down what you expect the next few candles to do, and why.
- Read one candle fully: where the volume concentrated, which side was aggressive, whether delta agreed with the close.
- Look at what actually happened next, and record whether your reading held. Keep the record, because memory keeps the hits and drops the misses.
- After a few dozen candles, count. How often did a delta disagreement precede a reversal, and how often did it not?
The counting step is the one that turns a feeling into evidence. If the pattern does not hold up in your own tally, no amount of confidence in it should survive that.
What a footprint cannot tell you
- The future. It describes trades that already happened.
- Why someone traded. Aggressive buying could be a breakout trader, a short covering, or an algorithm slicing a large order.
- Resting orders that never traded. That is depth of market, a different view with different questions.
- Anything about a market whose tick data you do not have. On AKQX, Indian equity order-flow views are limited and in beta.
It is also easy to over-read. In a busy market imbalances are common, and a single candle's footprint rarely means much without the trend around it.
From a chart observation to a testable rule
The step most people skip is the important one. An observation you can only make by looking at a chart is a memory, and memories are selective. To find out whether a pattern means anything, write it down as numbers: what threshold, on which timeframe, followed by what action and what exit.
Then backtest it with realistic costs, check it is not simply overfitted, and run it on paper. The footprint gives you the idea. The test tells you whether the idea has any value. Orders are never placed from the AKQX chart, which keeps that separation intact: looking and trading are different acts.
A reminder about what this is. AKQX is software only. It is not a SEBI-registered Investment Adviser or Research Analyst and gives no investment advice. Order-flow readings describe past trades and are not signals. Crypto products are unregulated and can be highly risky, and there may be no regulatory recourse for any loss.
Questions about footprint charts and order flow
What is a footprint chart in simple terms?
A footprint chart opens each candle up and shows how much volume traded at every price inside it, split into selling at the bid and buying at the ask. An ordinary candle tells you where price ended. A footprint tells you how it got there.
Is a footprint chart the same as volume?
No. Plain volume is one number per candle. A footprint breaks that volume down by price level and by side, so you can see where trading concentrated and which side was aggressive. Two candles with identical volume can look completely different inside.
Can a footprint chart predict where price goes next?
No. It describes trades that already happened. It can show where aggression was absorbed or where one side dominated, which is useful context, but it is a way of reading activity and not a forecast or a signal.
Which markets does AKQX show footprint for?
Ten crypto pairs, from 1 minute to 1 day. Charts for Indian equities are available, but their order-flow views are limited and still in beta, because the tick-level data a true footprint needs is not equally available there.
Can I place orders from the chart?
No. Orders are never placed from the AKQX chart. Trading happens only through an algo you have built, tested and deployed yourself, so a stray click cannot become a position.
What do I need to start reading one?
Only the idea of the bid and the ask. Buyers who pay the ask are aggressive buyers, sellers who hit the bid are aggressive sellers, and the footprint counts each. The rest, delta, point of control and imbalance, are ways of summarising those counts.
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