Unlocking the Power of Histograms: A Comprehensive Guide

Discover what a histogram is, how it works, and its applications in data analysis and trading. Learn how to create and customize histograms, and understand their importance compared to bar charts.

A histogram is a graphical representation of data points organized into user-specified ranges. Similar in appearance to a bar graph, the histogram condenses a data series into an easily interpreted visual by grouping many data points into logical ranges or bins.

Key Takeaways

  • A histogram is a bar graph-like representation of data that buckets a range of values into columns along the horizontal x-axis.
  • The vertical y-axis represents the number count or percentage of occurrences in the data for each column.
  • Columns can visualize patterns of data distributions.
  • In trading, the MACD histogram is used by technical analysts to indicate changes in momentum.
  • The MACD histogram columns can give earlier buy and sell signals than the accompanying MACD and signal lines.

How Histograms Work

Histograms are commonly used in statistics to demonstrate how many of a certain type of variable occur within a specific range.

For example, a census focused on the demography of a town may use a histogram to show how many people are between the ages of 0-10, 11-20, 21-30, 31-40, 41-50, 51-60, 61-70, and 71-80.

This histogram example would plot population data visually, making it easy to compare the distribution in different age groups.

Histograms can be customized in several ways by analysts. They can change the interval between buckets. In the example referenced above, there are eight buckets with an interval of ten. This could be changed to four buckets with an interval of 20.

Another way to customize a histogram is to redefine the y-axis. The most basic label used is the frequency of occurrences observed in the data. One could also use percentage of total or density instead.

Histograms vs. Bar Charts

Both histograms and bar charts provide a visual display using columns, and people often use the terms interchangeably. Technically, however, a histogram represents the frequency distribution of variables in a data set, whereas a bar chart typically represents a graphical comparison of discrete or categorical variables.

Create a Histogram

You can create a histogram using various software tools, including Microsoft Excel, which has a Histogram tool associated with the Statistical Functions.

Histogram Example: The MACD Histogram

Technical traders may be familiar with a notable histogram example, the moving average convergence divergence (MACD) histogram. It’s a popular technical indicator that illustrates the difference between the MACD line and the signal line.

For example, if there is a $5 difference between the two lines, the MACD histogram graphically represents this difference. The MACD histogram is plotted on a chart to make it easy for a trader to determine a specific security’s momentum.

A histogram bar is positive when the MACD line is above the signal line, and negative when the MACD line is below the signal line. An increasing MACD histogram indicates an increase in upward momentum, while a decreasing histogram is used to signal downward momentum.

Trading With the MACD Histogram

A weakness of using just the MACD line and signal line is the lagging nature of the signal given. Specifically, when the MACD line crosses over the signal line, the trading signal lags price. As the two lines are moving averages, by definition they do not cross until a price move has already occurred. This means that traders forego a portion of an initial move.

Traders shouldn’t overlook the MACD histogram when using the MACD indicator to make trading decisions. The MACD histogram helps to alleviate the signal lag problem by generating earlier entry signals.

Traders can track the length of the histogram bars as they move away from the zero line. For instance, they may feel that the histogram is generating a trading signal when a histogram bar is shorter in length than the preceding bar. Once the smaller histogram bar completes, traders might open a position in the direction of the histogram’s decline.

Other technical indicators should be used in conjunction with the MACD histogram to increase the signal’s reliability. Moreover, traders should place a stop-loss order to close out the trade if the security’s price does not move as anticipated.

What Is a Histogram in Simple Terms?

A histogram is a graph that shows the frequency of numerical data using rectangles. The height of a rectangle (the vertical axis) represents the distribution frequency of a variable. The width of the rectangle (horizontal axis) represents the value of the variable (for instance, minutes, years, or ages).

What Is a Histogram vs. a Bar Graph?

The histogram displays the distribution frequency as a two-dimensional figure, meaning the height and width of columns or rectangles have particular meanings and can both vary. A bar chart is a one-dimensional figure. The height of its bars represent something specific. The width of the bars has no meaning. On a histogram, there are no gaps between columns. Column width changes as the variable represented changes. On bar charts, the bars usually have gaps between them.

When Should a Histogram Be Used?

In general, a histogram can be used whenever there’s a need to display a comparison of the distribution of certain numerical data in various ranges of intervals. Histogram examples can help an audience see and understand quickly and easily essential meanings and patterns related to a large amount of data. They can be a benefit to a company’s or organization’s process of decision-making in various departments.

Related Terms: bar graph, frequency distribution, technical indicator, trading signal.


  1. PennState, Eberly College of Science. “STAT 500, Applied Statistics: 1.6.2 - Histograms”.
  2. Microsoft. “Create a Histogram”.
  3. Montgomery College, Pressbooks. “Statistics Study Guide: 2.2 Histograms, Frequency Polygons, and Time Series Graphs”.

Get ready to put your knowledge to the test with this intriguing quiz!

--- primaryColor: 'rgb(121, 82, 179)' secondaryColor: '#DDDDDD' textColor: black shuffle_questions: true --- ## What does a histogram represent in finance? - [ ] A detailed text report of market behaviors - [ ] A summary of qualitative data trends - [x] A visual representation of the frequency distribution of data - [ ] A geographic representation of market locations ## What is the primary axis for the frequency displayed on a histogram? - [ ] The horizontal axis (x-axis) - [x] The vertical axis (y-axis) - [ ] The depth axis (z-axis) - [ ] The diagonal axis (d-axis) ## In a histogram, what does the width of each bar represent? - [ ] The value of a single data point - [ ] The average of data points - [x] The interval or bin range of data - [ ] The median of data points ## What is the purpose of bins in a histogram? - [ ] To categorize non-numeric data - [x] To group continuous data into intervals - [ ] To display trend lines - [ ] To isolate individual data points ## How does a histogram differ from a bar chart? - [ ] A histogram is used for categorical data, while a bar chart is used for continuous data - [ ] A histogram uses lines instead of bars - [ ] They do not differ; they are the same - [x] A histogram is used for continuous data, while a bar chart is used for categorical data ## Which scenario is most suitable for using a histogram? - [ ] Displaying sales revenue over different regions - [x] Visualizing the distribution of stock returns - [ ] Comparing quarterly profits between companies - [ ] Analyzing employment rates across sectors ## Which of the following statements about histograms is true? - [x] They show the shape, spread, and central tendency of data - [ ] They provide forecasts based on historical data - [ ] They always use numerical scales on both axes - [ ] They are static and cannot be updated with new data ## What does it mean if a histogram is skewed to the right? - [ ] Most data points are clustered around the higher end of the range - [x] Most data points are clustered around the lower end of the range - [ ] There are equal data points on both sides of the central point - [ ] There are no data points at the extreme ends ## If a histogram has several peaks, it is characterized as: - [ ] Unimodal - [ ] Symmetrical - [x] Multimodal - [ ] Uniform ## Which software tools can typically be used to create histograms? - [ ] Word processors - [ ] Social media platforms - [x] Spreadsheet applications and statistical software - [ ] Internet browsers