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Footprint Charts – The Complete Trading Guide

Footprint charts are extremely popular amongst orderflow traders.

They essentially offer the inside look into the candles, which show the volume traded at each price.

If you are looking at the stop run, for example, on a simple candlestick chart.

You can only speculate if any participants were or were not stopped out in the wick.

But with the use of orderflow tools such as the footprint chart, we can be much more certain about this information.

In this guide, I will explain the basics of footprint charts and then show you some different ways how to use them.

Introduction to Footprint Charts

Market Delta created footprint Charts as a trademarked product in 2003.

Although they are not around anymore, as they filed for bankruptcy in February 2020, their Youtube channel is still up and filled with interesting videos and webinars.

Because of the trademark, you will find many different names such as Numbered Bars, Bid/Ask Profile, Cluster chart, etc.

Although the names will differ, the representation always remains the same.

Footprint charts show you the volume traded at a precise price level.

Compared to the Depth of Market (DOM), which shows you the advertisement in the market, the power of footprint chart relies only on the fact that only shows the orders executed in the market.

Because of that, you can extract powerful information on where buyers and sellers were interested, where absorption took place, and where did the most trading volume take place.

Compared to many different indicators that traders are using, the footprint chart is based on real-time information; therefore, it doesn’t lag.

Is trading with Footprint Charts useless?

I think before jumping into any new tool/strategy, everyone should take a deep breath and look at things with a healthy amount of skepticism.

As I already mentioned, the footprint charts offer an inside look into the market and show where participants are trapped or anticipate breakouts.

Because of that, footprint charts are a handy tool, but things differ in various markets.

As footprint charts are used in futures trading, I don’t recommend them to forex traders.

Even though you can watch currency futures pairs such as 6E (EUR/USD), 6B (GBP/USD), 6J (USD/JPY) etc.

Watching currency futures can work in theory, but since volume on spot FX is much higher, you might get misleading information.

Not only currency futures, but there is a video by Macrohedged where he explains why orderflow is useless for commodities such as Crude oil.

He says that since the volume in Crude oil is spread through different months, options, and Brent, watching one futures chart is useless because most of the big size showing on the footprint chart can be a simple hedge on another month’s contract.

Although the video is interesting, in my opinion, you can get valuable information trading commodities such as Crude oil or Gold.

With all of this being said, the best markets would be Equity Indices such as E-mini SP500. Nasdaq, Dax, Eurostoxx.

Bonds, namely German 10-yr Bund or US treasuries and Cryptocurrencies such as Bitcoin and Ethereaum.

With cryptocurrencies comes another problem of different volumes from different exchanges.

As I trade mostly bitcoin these days, I look at volume coming from Bitmex, and for short-term intraday trading, the information I get from the footprint chart is very accurate.

Footprint Chart Software

Before we dive deep into the footprint charts, it is probably worth mentioning that you need special software to display the data.

There are many charting software in the marketplace, and there is no need to make this a review post for one of them.

My two favorite are Sierra Chart and Exocharts for cryptocurrencies.

Because of that, all of the examples you are going to see in this article is going to be from one of them.

Because the purpose of this article is to give you more general information on what footprint charts are and how to read them, I am not going to dive too deep into different strategies.

If you are interested in those, you can check out my Trading Blueprint.

How to read Footprint Charts

Footprint charts may look like an abstract at first, but they are not so hard to read.

Once you understand how to read the footprint chart correctly, you won’t trade without them.

As I already mentioned, the footprint chart lets us look inside the candle and interpret executed orders.

Looking at this screenshot below, you can see a clear difference between the footprint chart and a simple Japanese candlestick chart.

footprints chart

In this chart representation, we have the most commonly known footprint that displays orders executed at the bid and ask.

Bid/Ask Footprint

One of the most common Footprint Charts is the Bid/Ask Footprint.

Bid/Ask Footprint displays the number of contracts traded on the bid price and the number of contracts traded on the ask price in realtime for any periodicity you decide to use.

As bid/ask price change, the Bid/Ask footprint with every contract that is traded.

Bid/Ask Footprint is the most common as it was created by Market Delta first.

It is also my favorite Footprint Chart to use.

Although I like to combine it with different coloring methods, I prefer to look at Bid/Ask for numbers on the footprint charts.

Constantly changing numbers can be confusing first, but once you place them in context with other confluence factors, they become easy to read over time.

 

footprint-chart-vs-candlestick

Seeing the explanation for the first time can be a little confusing. Let’s recap it.

On the left side in Bid/Ask Footprint, you have sellers because they were hitting the bid.

On the right side in Bid/Ask Footprint, you have buyers because they were lifting the offer.

I remember watching a webinar by Peter Davies from Jigsaw Trading.

In that webinar, he used an analogy of a house and going through the floor.

If you want to go up, you have to lift (the offer), and if you’re going to go down, you have to hit (the bid).

By the way, you can watch the whole webinar right here.

So if we have a footprint that tells us 405 x 534, it means that 405 lots hit the bid and 534 lots lifted the offer.

Delta Footprint

Using delta in orderflow trading can be pretty complex.

Although delta’s definition remains the same, there are many different ways to interpret it in charts such as Cumulative volume delta, delta profile, or delta footprint.

For this article’s purpose, I will only cover the Delta Footprint, the others I go through in Trading Blueprint.

footprint-charts

First of all, you need at least a basic understanding of Delta.

As you can notice, you see only one number because Delta represents the difference between finalized executions at the bid and the offer.

Delta is an essential part of Orderflow trading because it reveals where the heavier hand was at any given candle or price level.

The best representation and calculation of Delta Footprint would be once it’s compared to the Bid/Ask Footprint.

footprint-charts

As you can see, going from top to the bottom:

First, Delta is 122. This means that 197 buyers lift the offer against 75 sellers hit the bid.

Below we have -108 Delta. That is, 1145 buyers lift the offer against 1253 sellers hit the bid.

Next is 625 Delta, which represents 1147 buyers lifting the offer against 522 sellers hitting the bid.

I hope that we do not have to go price by price, and you understand the concepts.

Delta footprint is an easy tool to show us who won the battle at each price level.

The coloring method makes it easier to recognize aggression at each price level.

So now you might be wondering if you should use Bid/Ask Footprint or Delta Footprint as they represent the same thing just a little different.

In my opinion, it is better to stick with the Bid/Ask Footprint; it is simply because the bid/ask footprint is going to reveal imbalances and finished/unfinished auctions.

I use the Bid/ask footprint to show me numbers, but it is colored with delta bars.

footprintchart

This is an example of my favorite Footprint chart setting on Exocharts.

Bid/Ask numbers colored with Delta volume profile.

This allows me easily to spot absorption and where the heavier hand is.

If we look at the example on the chart and focus on the two highest price points at the last candlestick, there was 0 to hit the bid and 152k to lift the offer. This is a sign of a finished auction. Besides that, we have a high buying delta profile with 2M lifting the offer.

Because the candlestick has a long wick, this is a clear sign that buyers are being absorbed/trapped.

Volume Footprint

The volume profile doesn’t display positive or negative numbers.

It simply shows the total number of contracts traded at each price regardless of whether it was bid or ask.

As an example, if you have a Bid/Ask Footprint showing you 400 x 800, the Volume Footprint would give you a reading of 1200 compared to Delta, which would show 400.

Volume Footprint is useful because it shows where there was and interest from both buyers and sellers.

Because large market participants like to use the same levels for stacking their orders, it is good to know where they are comfortable trading.

Volume footprint is also great for recognizing genuine breakouts based on high volume and re-using them as pockets of liquidity for future support and resistance points.

volume footprint

volume-footprint-chart

As you can see from both examples, the areas of the high executed volume are re-used as support and resistance in the future.
I would recommend looking at these volume footprints for predominately price action traders, who would like to have additional confluence for their levels.

Volume Profile Footprint

You might be familiar with the session or composite volume profile.

The Volume Profile Footprint is no different as it simply shows a volume profile for each bar at the chart.

The volume profile serves as a quick visualization of potential support/resistance areas.

Like other Volume Profiles, you are using High Volume Nodes, Low Volume Nodes, and POCs as rejection and acceptance levels.

This way, you can quickly spot inefficiencies in liquidity gaps and HVNs, which will act as support and resistance upon filling those gaps.

Volume profile footprint chart

The chart above shows the market pushing higher but quickly turning another way once it revisits area with previously executed high volumes and filling the LVN.

I like to use these Volume Profile Footprint Charts for my higher timeframe analysis. 

Putting them on a daily or weekly timeframe, you can quickly see where most volumes was traded and where we might go for filling some gaps.

As you can notice, on the 24th market rallied higher, but it left the LVN on the way up.

The next day before the continuation, we came down and filled the gap with a bounce from the HVN.

If I change the setting to the Volume footprint, which is essentially the same thing, it will look like this.

footprint-chart

Footprint Periodicities

You can set up your chart at any periodicity you want.

Although most traders are only familiar with time-based trading, I have seen a lot of professional traders use non-based periodicity and they tend to look at market movements based on volume or volatility.

There are three different types of periodicity that traders are using.

Time-Based Periodicities Volume Based Periodicities Volatility Based Periodicities
Seconds Volume Point-Figure
Minutes Delta Range
Days   Reversal
    Tick

Time-Based Periodicity

Creates new bars based on different times.

This is the most popular and traditional way of looking at the price.

Because each bar represents one fixed amount of time, this is a very comfortable way of trading for a lot of traders since all they often do is look for a candle close after a specific period.

For day trading, I don’t think this is the best way of doing things as other settings help you clean out a lot of noise and sideways action.

Volume Based Periodicity

The chart is built after the set level of volume that you specify.

There are two choices on how to interpret the volume-based footprint.

By volume or delta.

If you set your footprint to 5000 volume charts, a new bar will print out after 5000 contracts are traded.

Because 5000 contract is a relative value which is not dependent on time, there can be cases where trading 5000 contracts can take 5 minutes, but also there can be the case where build one bar will take 5 hours.

Volatility Based Periodicity

The difference between volume and volatility is that volatility-based footprint creates a movement based on the actual price movement.

Volatility filters out the times when the market is not moving or just trading in a very tight range.

There are a lot of different options you can choose when picking out your volatility filter.

The most popular are the tick charts, which start a new bar when a specified number of ticks occur.

Tick is defined by one single trade.

I also use tick charts for day-trading. To be honest, I never experimented with others such as Range, Reversal, or Point and Figure charts.

The settings are going to be specific for volatility and liquidity of the traded instruments.

If you are wondering, here are my favorite settings for different instruments

Bitcoin – 1600 tick

ETH – 600 tick

Euro Stoxx and German Bund – 300 tick

E-mini sp500 – 3500 tick

Swing trading with footprint chart

Although a lot of traders who use order flow tend to be very short-term based.

A footprint chart can be applied to a longer-term outlook as well.

footprint-chart

As you can notice, for example, from Eurostoxx, the market was going down on a 30-minute time-frame.

Once it was met with a level of support, buying started coming in, which we have seen on rising delta and high volume and POC built up in the candle’s wick.

You cannot get this type of information from a simple candlestick chart.

If we are going to move even to the higher time-frames, looking at the Daily chart of the same product Eurostoxx, you can see that we had a big bullish candle on the 8-12.

One hundred forty-one lots got stuck at the absolute top, and big sell imbalances were registered in the highs, combined with the area of high volumes and POC, market-tested this zone on the next day but couldn’t proceed any higher and sold-off instead.

footprint-charts

Footprint Statistics

You might have noticed the bottom bar with numbers showing delta and volume for each bar in the last example.

The reason to pay attention to this is that you should see a rising delta for each bar in the rising market.

Same as the falling market, you should see a lower delta at each bar.

If the market starts to making new highs no lower delta (or new lows at higher delta).

We can assume that no aggressive buyers are willing to push prices higher or lower.

This delta divergence can then be used for mean reversion trading.

In this example, the market trades higher on the lower delta. As this happens, it follows up with pullback.

This can be an excellent fading signal at key levels.

Footprint Trading Strategies

A footprint chart is a great tool, and I use it for my trading every day.

That being said, I never trade it without other confluence factors.

When I was trading Euro Stoxx, a very liquid market where you can get out with a few tick stop loss, I was entering based on footprint quite frequently.

In my opinion, this is only possible with these high liquid markets such as US Treasuries, Euro Stoxx, and maybe Bund or E-mini SP500, depending on current volatility.

If you are trading more jumpy markets such as cryptocurrencies, Dax, Oil, Gold, or currency futures, you will rarely nail the entries with too tight stop losses.

Because of that, I use several price action patterns with market and volume profiles to add up to my footprint chart.

The strategies I explain below are the ones I am watching every day in the market. 

How I base my entries and exits, I show in the Trading Blueprint.

Buy/Sell imbalance

Imbalances show you where the buyers overcome sellers and vice versa.

When you are looking at Buy or sell imbalance, it is compared diagonally not horizontally.

During the trading day, you are going to witness a lot of imbalances.

That is why you should pay attention only to those there are stacked together.

Using a three and more stacked imbalances show us an evident strength by buyers or sellers.

Once we identify those levels, we can use them as future support/resistance areas simply because the heavy buyers/sellers will want to hold their prices.

footprint charts

Finished/Unfinished Auction

Prices are moving up or down until they get to the point where nobody is interested in buying or selling anymore.

If markets go up, it will continue to do so until no one is interested in buying anymore.

If the market goes down, it will continue to do so until no one is interested in selling anymore.

Finished auction is made when there is a zero bid at the highs or zero offer at the lows.

It is a signal that there was simply no supply or demand in the market anymore.

The opposite goes for unfinished auction.

If there isn’t zero at the top or the bottom of the bar it signals that the auction wasn’t finished.

As you can see finished and unfinished auctions are not trading strategies by themselves but they once again give us the confirmation with deeper looks on how supply and demand dynamics worked at different price points.

On the chart below we see 140×193 on the left side.

This is an unfinished auction.

We can then pay attention to this level s price is pulling back.

Once it pulls back we get 0x23, this means the auction is finished.

footprint-charts

Volume Imbalance

By looking at delta or volume footprint visualization, you can get an idea where the most volume is traded.

If the market is going up, the most volume should be at the top of the bodies and vice versa for a downtrend.

Volume imbalance happens when their candle closes at the opposite side of the significant volume.

This usually means absorption, shown in the example below, as the candle’s wick at the top had high positive delta; this means buyers are trapped at the highs.

footprint-chart

 

Large size tracker

What is rarely discussed in footprint trading is using filters that filter the footprint by size.

Seeing when large traders are stepping in the market is one of the most powerful confirmation of your trading idea.

In other words, if you are a one lot trader, would the fact that at the same time you are opening your position, the trader who is trading 500 lots going in with you?
Of course, it would.

This is a prime example of a long entry.

footprint-charts

The market is testing the previous structure’s level with a delta divergence on a price action chart.

This enough could be used as a confirmation to get in a long trade.

Those that are still in doubt, on the right side, we can see two unfinished auctions followed by a finished auction with some high volume built below the market.

If that is still not enough, a larger trader tracker shows us that someone executed 500 lot long entries.

As you can see all these techniques built large confidence in execution as you are watching real-time market information instead of lagging indicators.

Example from Bitcoin with footprint chart that shows only above 500k executed.


A chart shows the seller trapped, so once the price revisits the area, he/she will likely get out for breakeven or smaller loss, which adds fuel to the upside.

Conclusion

I hope you learned something new and could see how great a tool the Footprint Chart can be.

Suppose you are a day-trader, and you are trading futures in either legacy or crypto markets, with the current age of trading when these tools become accessible and affordable. In that case, there is no reason for you not to give a Footprint chart a shot.

 

Comments

  • reply
    Stephen Connolly
    October 1, 2020

    Very insightful. Great content and thank you

  • reply
    Wilder Jameson
    October 4, 2020

    I could never understand the idea of how #of buyer & # of seller can be different at a single price point.

    In order for price to go up, for example, the pending buy orders must all be filled meaning #buyers@priceA = #sellers@priceA, no?
    I know that something is wrong in the above thought process, but I can’t seem to understand it for 3 years…

    How can number of sellers and buyers be different at each price point?

    Thanks in advance.

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