Candlestick Financial Chart in JavaScript with Real-time Data

In this blog post we will build the financial chart that you see below. This is a candlestick chart created with MindFusion Charting for JavaScript. We use data from the platform TraderMade. The data comes in a continuous stream as a WebSocket. The blog post explains how to get the data, how to parse it and how to create and customize the chart. The chart also offers the user to change the data interval and to zoom in/out the chart.

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Real-Time Chart in WinForms

In this sample we will build a line chart that reads its data in real time and gets updated each second.

Real-time WinForms Chart

We start by creating an empty WinForms project. We assume you have installed the Charting for WinForms component and you can see a list with chart components in the VisualStudio toolbox.

Drag the LineChart control and drop it on the form. You should now see references to the three libraries that you need automatically added to your project:

  • MindFusion.Charting;
  • MindFusion.Charting.WinForms;
  • MindFusion.Common;

1. Series and Data

Our chart will render time stamps at the X-axis. That’s why we choose the DateTimeSeries class to create the series for the chart. The constructor requires two lists – one with DateTime values and one with double values. They provide data for the X and Y axes respectively. We must also provide two more parameters: one for the start and one for the end of the time period.

List dates = new List();
List values = new List();

In order to mimic the real-time functionality we will use a timer. Our timer will generate a random number each second. At the beginning we will have a list with no values. Gradually, we will fill the values and once we reach the count of 100 we will start to delete the first value and add a new value at the end of the arrays.

That’s how we initialize the timer:

Random ran;
ran = new Random();         
Timer dataTimer = new Timer();
dataTimer.Tick += new EventHandler(GenerateData);
dataTimer.Interval = 1000;

Let’s look at the GenerateData method:

private void GenerateData(object sender, EventArgs e)
         values.Add(2 + ran.NextDouble() * 8.0);

         if (dates.Count > 100)

There we always add the current DateTime. Since the timer ticks every second that’s exactly what we want. Once the values are 100, we start to remove values at the beginning of the list.

Now let’s create the DateTime series. It requires parameters for the start and end of the period. We always allocate the first and last DateTime values as the bounds of the DateTime data for this series:

DateTimeSeries series = new DateTimeSeries(dates, values, dates[0], dates[dates.Count-1]);

Then we see if we have already added a Series and if so – replace it. If no Series has been added – add the new one:

if (lineChart1.Series.Count > 0)
       lineChart1.Series[0] = series;

By default the DateTimeSeries renders its values from the X-axis – the DateTime instances as labels at the X-axis. We can customize how they look with the DateTimeFormat property. The predefined DateTimeFormat members don’t have an option where the values are rendered as “14:23:34” as a time stamp. So, we choose as DateTimeFormat “CustomDateTime” and use the CustomDateTime to specify the format:

series.DateTimeFormat = DateTimeFormat.CustomDateTime;
series.CustomDateTimeFormat = "H:mm:ss"; 

2. The X-Axis

We want at each moment only the last 10 values to be visible. The other 90 or however they are should be rendered but the user must scroll to see them. We achieve with the MinValue and MaxValue properties of the DateTimeSeries:

series.MinValue = 0;
series.MaxValue = 0.1 * dates.Count;

In order to render only the last 10 series, we use the XAxis properties – MaxValue and MinValue Once the MaxValue of the DateTimeSeries is more than 1, which means that at least 10 values have been added, we adjust the visible range of values at the X-axis so that only the last 10 are visible:

if (series.MaxValue > 1)
      lineChart1.XAxis.MaxValue = series.MaxValue;
      lineChart1.XAxis.MinValue = series.MaxValue - 1.0;

We also set the Title for this axis:

lineChart1.XAxis.Title = "Time";

Let’s hide the numeric values from rendering at the top of the DateTime stamps with the ShowXCoordinates property:

lineChart1.ShowXCoordinates = false; 

3. The Y-Axis

By default the range of an axis is calculated based on the data. Let’s make our chart render the line graphics more to the beginning of the axis by increasing the MaxValue of the Y-axis while we fix the MinValue at 0:

lineChart1.YAxis.MinValue = 0;
lineChart1.YAxis.MaxValue = 20;
lineChart1.YAxis.Interval = 2;

We also change the axis Title and we use NumberFormat property to render the intervals with floating points:

lineChart1.YAxis.Title = "Visitors (in thousands)";
lineChart1.YAxis.NumberFormat = "N";

4. Grid

Let’s render vertical grid stripes. We want them to be dashed and light gray. We use GridType GridColor and GridLineStyle to customize the grid:

lineChart1.GridType = GridType.Vertical;
lineChart1.Theme.GridLineStyle = System.Drawing.Drawing2D.DashStyle.Dash;
lineChart1.Theme.GridLineColor = Color.FromArgb(192, 192, 192);

Note that GridColor and GridLineStyle are properties of the Theme property of LineChart add one extra – stop the grid stripes from moving around when the user scrolls the chart along the axis:

lineChart1.PinGrid = true;

5. Legend

The legend gets its labels from the Title property of a Series. In our case we set:

series.Title = "Server Requests";

We would like to change the legend background to make the legend easier to spot:

lineChart1.Theme.LegendBackground = new MindFusion.Drawing.SolidBrush(Color.FromArgb(120, 230, 230, 230));

We use a semi-transparent brush that let’s chart details be visible when the user moves the legend onto another chart element.

6. Line Colors

We want to render the line in red. We choose the MixedSeriesStyle class as the styling class for our application. You can use any other *SeriesStyle class that is appropriate in your case:

// assign a reb brush for the series
lineChart1.Plot.SeriesStyle = new MixedSeriesStyle()
         UniformStrokeThickness = 5,
         UniformStroke = new MindFusion.Drawing.SolidBrush(Color.Red),
         UniformFill = new MindFusion.Drawing.SolidBrush(Color.Red)

With that our sample is complete. You can download the full code with the necessary charting dll-s from this link:

Download the WinForms Real-TimeChart Sample

About MindFusion Charting for WinForms: A versatile dashboard component that provides your WinForms application with the ability to create fascinating charts, interactive dashboards and practical gauges. The component combines a flexible API that allows custom combination of chart components to build any type of chart you want. You can add as many axes of any type you want, combine various chart series into a single chart with different data providers each. The control also supports pan and zoom, scroll, unlimited number of legends, grid and a dashboard panel. Linear and oval gauges complete the tool set and guarantee every feature you might need to build the perfect gauge, chart of any type or dashboard in WinForms is right at your fingertips. Learn more at

Real-time Chart: Amplification Plot

MindFusion.RealTimeCharting for WPF assembly lets you visualize huge (and by that we mean huge) amounts of data with no special load on the machine it runs on. We drew inspiration from a popular chart in molecular biology – Real-time PCR, which:

can provide a simple and elegant method for determining the amount of a target sequence or gene that is present in a sample.

More on the topic here.

Since we self-generate our data, the result graphics are not that much the real thing but they demonstrate the algorithm of building the chart pretty well. Let’s start:

1. Create the chart

Drag the RealTimeChart from the toolbox or add a reference to the MindFusion.RealTimeCharting.Wpf assembly. The chart has no initial data so we start with a simple X-axis on the screen. We name our chart “rtChart”.

2. Customizing the X-axis

The X-axis is accessible via the rtChart.XAxis property. It exposes many appearance settings, from which we start with Interval, Length and Origin – they will define our axis. When data accumulates, the initial axis labels shall be replaced with their updated values.

   rtChart.XAxis.Title = "Cycle";
   rtChart.XAxis.Interval = 2;
   rtChart.XAxis.Length = 50;
   rtChart.XAxis.Origin = 0;
   rtChart.XAxis.LabelFormat = "0";
   rtChart.XAxis.PinLabels = false;

It’s worth noting that we don’t pin labels e.g. they will move along the axis as new data is added. We need no trailing zeros, so the LabelFormat is “0”.

3. The Y-axes

There is no limit on how many Y-axis we will create. In our sample we will use two: one at each side of the chart plot area. We need two instances of the Axis class, which we add to YAxisCollection and Y2AxisCollection respectively. Before we add them, we set their appearance. We want tick marks and rotated title. Note that we align the second axis (Y2) to the right.

   Axis yAxis = new Axis();
   yAxis.Origin = 0.0;
   yAxis.Length = 1;
   yAxis.Interval = 0.1;
   yAxis.Title = "ΔRn";
   yAxis.TitleRotationAngle = -90.0;
   yAxis.TitleFontFamily = new FontFamily("Verdana");
   yAxis.LabelFontFamily = new FontFamily("Verdana");
   yAxis.TickLength = 5;
   yAxis.TitleOffset = 10;

   yAxis = new Axis();
   yAxis.Origin = 0.0;
   yAxis.Length = 100;
   yAxis.Interval = 10;
   yAxis.Title = "Fluorescene";
   yAxis.TitleRotationAngle = -90.0;
   yAxis.TitleFontFamily = new FontFamily("Verdana");
   yAxis.LabelFontFamily = new FontFamily("Verdana");
   yAxis.TickLength = 5;
   yAxis.TitleOffset = 10;
   yAxis.LabelHorizontalAlignment = HorizontalAlignment.Right;

4. Chart series

We need four series – two of them will be bound to Y and two – to Y2. It’s important to note that axes must be initialized before the series, because each series is associated with a given Y-axis when created.

Each chart series is an instance of the Series class. We want to show scatters at each series – for that we use the ScatterType property. Since we plan to show a legend, it’s important to set the Title of each series – because this title will be used as a legend label. Here is sample code for the first series:

  series1 = new Series(rtChart.YAxisCollection[0])
      Stroke = new SolidColorBrush(Colors.Green),
      ScatterStroke = new SolidColorBrush(Colors.Green),
      Fill = new SolidColorBrush(Colors.Green),
      ScatterType = ScatterType.Diamond,
      Title = "Sample 1",
      TitleFontFamily = new FontFamily("Verdana"),
      TitleFontSize = 12



5. Data

Data is added directly to the Series.Data property. You can add a batch of points or one point at a time. The property requires that you add a Point e.g. you must set the X and Y values simultaneously:

Point[] points1 = new Point[clusterSize];

//generate some dummy data


Don’t forget to call the Commit() method in one of its overloads – it signals to the chart that new data has been added and refresh is needed.

6. Final adjustments

We want a legend and we turn on ShowLegend. The initial result is a legend in 4 rows, which does not look beautifully on our chart. We plat for a while with LegendWidth and LegendHeight and come up with a satisfactory outlook for our legend – in two columns, centered below the plot area.

Adding a tooltip is also easy – we set ShowFallbackTooltip to true. Since the chart might have numerous Y-axis we must choose, which axis the tooltip is bound to. In our case it’s the first one:

    rtChart.TooltipVisibility = Visibility.Visible;
    rtChart.ShowFallbackTooltip = true;
    rtChart.TooltipAxis = rtChart.YAxisCollection[0];

    rtChart.ShowLegend = true;
    rtChart.LegendHeight = 70;

We adjust the grid according to the data we have:

    rtChart.MajorGridSizeY = 50;
    rtChart.MajorGridSizeX = 2;

7. That’s it

Here is the final result:

Real-time chart: amplification plot sample.

Real-time chart: amplification plot sample.

Of course, there are many other settings and possibilities in the control. You can download the sample and expand its functionality and appearance:

Real-time Chart – Amplification Plot Sample Download

MindFusion.RealTimeCharting for WPF is part of MindFusion.Charting for WPF component, which also includes MindFusion.Gauges for WPF. Check the trial version for more practical, beautiful and easy to build charts and gauges.

About MindFusion.RealTimeCharting for WPF: A WPF programming component, which has been designed and developed to render real-time charts with huge amounts of data in a fast and efficient manner. The component uses innovative approach to draw the chart graphics, which forgoes the traditional constructing of a tree with the visual elements in WPF. This way CPU load remains minimal and graphics of tens of thousands of points are rendered with impressive speed. The tool supports unlimited number of Y and Y2 axes, legend, tooltip, background image, grid and more.

About MindFusion.Charting for Wpf: A programming component that combines powerful charting capabilities with an elegant API and easy use. Among the features of the control are fully customizable grid, positive and negative values on all chart axes, 3D charts, gauges and many more – read a detailed list here.

The control provides detailed documentation and various samples that demonstrate how to customize every type of chart. It supports a wide range of 2D and 3D charts including bar, line, radar, bubble pie etc. You can add tooltips, define themes, perform hit testing, zoom and more.

Charting for WPF, V1.9

MindFusion is pleased to announce a new release of Charting for WPF programming component. Here is an overview of the new features:

Real-time Chart
The RealTimeChart control is optimized to render animated line chart graphics of large amounts of data. That’s implemented by moving already rendered elements from the WPF visual tree to a cache bitmap, relying that new data is added incrementally rather than changing coordinates of old data points. The library also offers various customization options for the chart – scatters, multiple legends, multiple Y and Y2 axes, custom labels, tooltips, grid.

The real time chart.

The real time chart.

3D Charts

  • All 3D charts now support unlimited number of series.
  • New property Lights holds a collection of Light objects instead of the LightType property.
  • Detailed hit testing, which returns a ChartHitTestResult3D that contains the clicked 3D point, the normalized 3D point, a collection of chart elements (if found), and the nearest peak (in surface charts).
  • AllowMeshSelection property, which when enabled allows selection of mesh objects with a mouse click.
  • The MeshSelectionBrush sets the brush for the selection.
  • Behavior3D property, which lets you choose how the chart responds to mouse interactions.
  • Improved performance for all chart types.

Surface Charts

  • SurfaceType property, which sets whether scatters or surface is drawn.
  • SurfaceSeries.GroundLevelMargin property, which sets the GroundLevel-offset.
  • Each Series3D can be clipped in a given range with the ClipMinimum and ClipMaximum properties.
  • TextureType property sets the texture of the chart – Brush or ColorMap.
  • New ColorMapList property, which sets a Color map with arbitrary colors and offsets.
  • CloseModelFigure property, which closes the sides of the model if enabled.

A surface chart

A surface chart


  • ShowCrossHair renders a cross hair that will trace the mouse position over the plot area.
  • Enable the LineSeries.Curve property to draws lines as canonical splines.

You can read further details about the release and the other new features at the news section in the Charting forum. A trial version is available for download from here:

Download MindFusion.Charting for WPF 1.9 Trial Version

You are welcome to contact us with any questions, problems or inquiries about the Charting for Wpf control or any other of our products. MindFusion has always put special emphasis on providing excellent customer support and we usually answer your inquiries in a few hours of receiving them.

About MindFusion.Charting for Wpf: A programming component that combines powerful charting capabilities with an elegant API and easy use. Among the features of the control are fully customizable grid, positive and negative values on all chart axes, 3D charts, gauges and many more – read a detailed list here.

The control provides detailed documentation and various samples that demonstrate how to customize every type of chart. It supports a wide range of 2D and 3D charts including bar, line, radar, bubble pie etc. You can add tooltips, define themes, perform hit testing, zoom and more.