Canvas.Views.Web 1.7.0-prerelease

Canvas - Financial Charts

The fastest charting web control targeting primarily Blazor, both Server Side and Web Assembly, and even ASP.NET MVC. This charting library was designed for Web, but it can also be used in Desktop apps via Web View. The main purpose of this library is to be used as a charting tool for real-time financial applications, e.g. backtesters for trading strategies. Here is the most comprehensive guide dedicated to charting in .NET that I have seen so far. Nevertheless, trying various options from that guide I wasn't able to find anything fast and flexible enough for my needs, so created my own.

• Examples can be found here
• Possible application of this library is here

Status

Install-Package Canvas.Views.Web

Drawing Methods

Currently available controls.

• Engine - abstract base Canvas control exposing drawing context of various frameworks, like GDI or SkiaSharp
• CanvasEngine - a wrapper around SkiaSharp and Open GL

To add different view types, e.g. GDI+, Direct 2D, Win UI, Open GL, implement IEngine interface.

Chart Types

At the moment, there are four built-in chart types.

• Line - line
• Bar - polygon
• Area - polygon
• Arrow - polygon
• Candle - OHLC box, a mix of a line and a polygon
• HeatMap - polygon

To add new chart types, e.g. Error Bars or Bubbles, implement IShape interface.

Sample

The simplest format used by the library is a list of models with a single Point property.

<CanvasView @ref="View"></CanvasView>

@code
{
  public CanvasView View { get; set; }

  protected override async Task OnAfterRenderAsync(bool setup)
  {
    if (setup)
    {
      var generator = new Random();
      var points = Enumerable.Range(1, 1000).Select(i => new BarShape 
      { 
        X = i, 
        Y = generator.Next(-5000, 5000) 
      
      } as IItemModel).ToList();
      
      var composer = new Composer
      {
        Name = "Demo",
        Items = points
      };

      await View.Create<CanvasEngine>(engine => composer);

      composer.Update();
    }

    await base.OnAfterRenderAsync(setup);
  }
}

• Area is a viewport, an actual chart, each viewport can show several types of series, e.g. a mix of candles and lines.
• Series is a single chart type to be displayed in the viewport, e.g. lines.
• Shape is a data point of dynamic type, can accept different type of inputs, e.g. double or OHLC box.

At this moment, Canvas supports only horizontal orientation, so the axis X is used as an index scale that picks data points from the source list and axis Y is a value scale that represents the actual value of each data point.

Synchronization

In the case when charts have to be synchronized or overlapped within the same viewport, data source should have format of a list where each entry point has a time stamp and a set of Areas and Series that will be rendered in the relevant viewport.

Item = new 
{
  Groups = new GroupShape
  {
    ["Price Area"] = new Dictionary<string, GroupShape>
    {
      Groups = new GroupShape
      {
        ["Price Series"] = new CandleShape(),
        ["Arrow Series"] = new ArrowShape()
      }
    },
    ["Indicator Area"] = new Dictionary<string, GroupShape>
    {
      Groups = new GroupShape
      { 
        ["Bar Series"] = new BarShape() 
      }
    }
  }
}

Pan and Zoom

The chart is data-centric, thus in order to scale the chart you need to change the data source. By default, the chart displays last 100 data points, as defined in IndexCount property.

MinIndex = Items.Count - IndexCount
MaxIndex = Items.Count

To pan the chart to the left, subtract arbitrary value from both MinIndex and MaxIndex.

MinIndex -= 1
MaxIndex -= 1

To pan the chart to the right, do the opposite.

MinIndex += 1
MaxIndex += 1

To zoom in, increase MinIndex and decrease MaxIndex to decrease number of visible points.

MinIndex += 1
MaxIndex -= 1

To zoom out, do the opposite.

MinIndex -= 1
MaxIndex += 1

Roadmap

Each chart of type CanvasView consists of many composable pieces for the grid, scales, main screen. To improve performance, each piece uses its own thread. To increase performance, downsampling could be implemented, e.g. when number of points is greater that width of the screen in pixels, because all points wouldn't fit on the screen anyway.