ChartDirector 6.2 (.NET Edition)

Finance Chart Custom Symbols




This example demonstrates adding custom symbols to a finance chart.

The custom symbols are achieved by using XYChart.addScatterLayer to add a scatter layer to the main price chart. The data for the scatter layer is an array of the same length as the timestamps array, which are used to specify the position of the symbols. For trading sessions that do not require symbols, NoValue can be used as the data value.

The scatter symbols in this example are arrows created with Chart.ArrowShape. Different types of symbols are created using different scatter layers. The arrows are positioned at the high or low values, and shifted upwards or downwards with DataSet.setSymbolOffset to avoid overlapping with the candlesticks.

Source Code Listing

[Windows Forms - C# version] NetWinCharts\CSharpWinCharts\financesymbols.cs
using System;
using ChartDirector;

namespace CSharpChartExplorer
{
    public class financesymbols : DemoModule
    {
        //Name of demo module
        public string getName() { return "Finance Chart Custom Symbols"; }

        //Number of charts produced in this demo module
        public int getNoOfCharts() { return 1; }

        //Main code for creating chart.
        //Note: the argument chartIndex is unused because this demo only has 1 chart.
        public void createChart(WinChartViewer viewer, int chartIndex)
        {
            // Create a finance chart demo containing 100 days of data
            int noOfDays = 100;

            // To compute moving averages starting from the first day, we need to get extra data
            // points before the first day
            int extraDays = 30;

            // In this exammple, we use a random number generator utility to simulate the data. We
            // set up the random table to create 6 cols x (noOfDays + extraDays) rows, using 9 as
            // the seed.
            RanTable rantable = new RanTable(9, 6, noOfDays + extraDays);

            // Set the 1st col to be the timeStamp, starting from Sep 4, 2014, with each row
            // representing one day, and counting week days only (jump over Sat and Sun)
            rantable.setDateCol(0, new DateTime(2014, 9, 4), 86400, true);

            // Set the 2nd, 3rd, 4th and 5th columns to be high, low, open and close data. The open
            // value starts from 100, and the daily change is random from -5 to 5.
            rantable.setHLOCCols(1, 100, -5, 5);

            // Set the 6th column as the vol data from 5 to 25 million
            rantable.setCol(5, 50000000, 250000000);

            // Now we read the data from the table into arrays
            double[] timeStamps = rantable.getCol(0);
            double[] highData = rantable.getCol(1);
            double[] lowData = rantable.getCol(2);
            double[] openData = rantable.getCol(3);
            double[] closeData = rantable.getCol(4);
            double[] volData = rantable.getCol(5);

            // Custom data series should be of the same length as the OHLC data series
            double[] buySignal = new double[closeData.Length];
            double[] sellSignal = new double[closeData.Length];

            //
            // The following is just an arbitrary algorithm to create some meaningless buySignal and
            // sellSignal. They are just for demonstrating the charting engine. Please do not use
            // them for actual trading.
            //

            double[] sma5 = new ArrayMath(closeData).movAvg(5).result();
            double[] sma20 = new ArrayMath(closeData).movAvg(20).result();

            for(int i = 0; i < closeData.Length; ++i) {
                buySignal[i] = Chart.NoValue;
                sellSignal[i] = Chart.NoValue;
                if (i > 0) {
                    if ((sma5[i - 1] <= sma20[i - 1]) && (sma5[i] > sma20[i])) {
                        buySignal[i] = lowData[i];
                    }
                    if ((sma5[i - 1] >= sma20[i - 1]) && (sma5[i] < sma20[i])) {
                        sellSignal[i] = highData[i];
                    }
                }
            }

            // Create a FinanceChart object of width 640 pixels
            FinanceChart c = new FinanceChart(640);

            // Add a title to the chart
            c.addTitle("Finance Chart with Custom Symbols");

            // Set the data into the finance chart object
            c.setData(timeStamps, highData, lowData, openData, closeData, volData, extraDays);

            // Add the main chart with 240 pixels in height
            XYChart mainChart = c.addMainChart(240);

            // Add buy signal symbols to the main chart, using cyan (0x00ffff) upward pointing
            // arrows as symbols
            ScatterLayer buyLayer = mainChart.addScatterLayer(null, buySignal, "Buy",
                Chart.ArrowShape(0, 1, 0.4, 0.4), 11, 0x00ffff);
            // Shift the symbol lower by 20 pixels
            buyLayer.getDataSet(0).setSymbolOffset(0, 20);

            // Add sell signal symbols to the main chart, using purple (0x9900cc) downward pointing
            // arrows as symbols
            ScatterLayer sellLayer = mainChart.addScatterLayer(null, sellSignal, "Sell",
                Chart.ArrowShape(180, 1, 0.4, 0.4), 11, 0x9900cc);
            // Shift the symbol higher by 20 pixels
            sellLayer.getDataSet(0).setSymbolOffset(0, -20);

            // Add a 5 period simple moving average to the main chart, using brown color
            c.addSimpleMovingAvg(5, 0x663300);

            // Add a 20 period simple moving average to the main chart, using purple color
            c.addSimpleMovingAvg(20, 0x9900ff);

            // Add candlestick symbols to the main chart, using green/red for up/down days
            c.addCandleStick(0x66ff66, 0xff6666);

            // Add a volume indicator chart (75 pixels high) after the main chart, using
            // green/red/grey for up/down/flat days
            c.addVolIndicator(75, 0x99ff99, 0xff9999, 0x808080);

            // Append a 14-days RSI indicator chart (75 pixels high) after the main chart. The main
            // RSI line is purple (800080). Set threshold region to +/- 20 (that is, RSI = 50 +/-
            // 25). The upper/lower threshold regions will be filled with red (ff0000)/blue
            // (0000ff).
            c.addRSI(75, 14, 0x800080, 20, 0xff0000, 0x0000ff);

            // Output the chart
            viewer.Chart = c;
        }
    }
}

[Windows Forms - VB Version] NetWinCharts\VBNetWinCharts\financesymbols.vb
Imports System
Imports Microsoft.VisualBasic
Imports ChartDirector

Public Class financesymbols
    Implements DemoModule

    'Name of demo module
    Public Function getName() As String Implements DemoModule.getName
        Return "Finance Chart Custom Symbols"
    End Function

    'Number of charts produced in this demo module
    Public Function getNoOfCharts() As Integer Implements DemoModule.getNoOfCharts
        Return 1
    End Function

    'Main code for creating chart.
    'Note: the argument chartIndex is unused because this demo only has 1 chart.
    Public Sub createChart(viewer As WinChartViewer, chartIndex As Integer) _
        Implements DemoModule.createChart

        ' Create a finance chart demo containing 100 days of data
        Dim noOfDays As Integer = 100

        ' To compute moving averages starting from the first day, we need to get extra data points
        ' before the first day
        Dim extraDays As Integer = 30

        ' In this exammple, we use a random number generator utility to simulate the data. We set up
        ' the random table to create 6 cols x (noOfDays + extraDays) rows, using 9 as the seed.
        Dim rantable As RanTable = New RanTable(9, 6, noOfDays + extraDays)

        ' Set the 1st col to be the timeStamp, starting from Sep 4, 2014, with each row representing
        ' one day, and counting week days only (jump over Sat and Sun)
        rantable.setDateCol(0, DateSerial(2014, 9, 4), 86400, True)

        ' Set the 2nd, 3rd, 4th and 5th columns to be high, low, open and close data. The open value
        ' starts from 100, and the daily change is random from -5 to 5.
        rantable.setHLOCCols(1, 100, -5, 5)

        ' Set the 6th column as the vol data from 5 to 25 million
        rantable.setCol(5, 50000000, 250000000)

        ' Now we read the data from the table into arrays
        Dim timeStamps() As Double = rantable.getCol(0)
        Dim highData() As Double = rantable.getCol(1)
        Dim lowData() As Double = rantable.getCol(2)
        Dim openData() As Double = rantable.getCol(3)
        Dim closeData() As Double = rantable.getCol(4)
        Dim volData() As Double = rantable.getCol(5)

        ' Custom data series should be of the same length as the OHLC data series
        Dim buySignal(UBound(closeData)) As Double
        Dim sellSignal(UBound(closeData)) As Double

        '
        ' The following is just an arbitrary algorithm to create some meaningless buySignal and
        ' sellSignal. They are just for demonstrating the charting engine. Please do not use them
        ' for actual trading.
        '

        Dim sma5() As Double = New ArrayMath(closeData).movAvg(5).result()
        Dim sma20() As Double = New ArrayMath(closeData).movAvg(20).result()

        For i As Integer = 0 To UBound(closeData)
            buySignal(i) = Chart.NoValue
            sellSignal(i) = Chart.NoValue
            If i > 0 Then
                If (sma5(i - 1) <= sma20(i - 1)) And (sma5(i) > sma20(i)) Then
                    buySignal(i) = lowData(i)
                End If
                If (sma5(i - 1) >= sma20(i - 1)) And (sma5(i) < sma20(i)) Then
                    sellSignal(i) = highData(i)
                End If
            End If
        Next

        ' Create a FinanceChart object of width 640 pixels
        Dim c As FinanceChart = New FinanceChart(640)

        ' Add a title to the chart
        c.addTitle("Finance Chart with Custom Symbols")

        ' Set the data into the finance chart object
        c.setData(timeStamps, highData, lowData, openData, closeData, volData, extraDays)

        ' Add the main chart with 240 pixels in height
        Dim mainChart As XYChart = c.addMainChart(240)

        ' Add buy signal symbols to the main chart, using cyan (0x00ffff) upward pointing arrows as
        ' symbols
        Dim buyLayer As ScatterLayer = mainChart.addScatterLayer(Nothing, buySignal, "Buy", _
            Chart.ArrowShape(0, 1, 0.4, 0.4), 11, &H00ffff&)
        ' Shift the symbol lower by 20 pixels
        buyLayer.getDataSet(0).setSymbolOffset(0, 20)

        ' Add sell signal symbols to the main chart, using purple (0x9900cc) downward pointing
        ' arrows as symbols
        Dim sellLayer As ScatterLayer = mainChart.addScatterLayer(Nothing, sellSignal, "Sell", _
            Chart.ArrowShape(180, 1, 0.4, 0.4), 11, &H9900cc)
        ' Shift the symbol higher by 20 pixels
        sellLayer.getDataSet(0).setSymbolOffset(0, -20)

        ' Add a 5 period simple moving average to the main chart, using brown color
        c.addSimpleMovingAvg(5, &H663300)

        ' Add a 20 period simple moving average to the main chart, using purple color
        c.addSimpleMovingAvg(20, &H9900ff)

        ' Add candlestick symbols to the main chart, using green/red for up/down days
        c.addCandleStick(&H66ff66, &Hff6666)

        ' Add a volume indicator chart (75 pixels high) after the main chart, using green/red/grey
        ' for up/down/flat days
        c.addVolIndicator(75, &H99ff99, &Hff9999, &H808080)

        ' Append a 14-days RSI indicator chart (75 pixels high) after the main chart. The main RSI
        ' line is purple (800080). Set threshold region to +/- 20 (that is, RSI = 50 +/- 25). The
        ' upper/lower threshold regions will be filled with red (ff0000)/blue (0000ff).
        c.addRSI(75, 14, &H800080, 20, &Hff0000, &H0000ff)

        ' Output the chart
        viewer.Chart = c

    End Sub

End Class

[WPF - C#] NetWPFCharts\financesymbols.cs
using System;
using ChartDirector;

namespace CSharpWPFDemo
{
    public class financesymbols : DemoModule
    {
        //Name of demo module
        public string getName() { return "Finance Chart Custom Symbols"; }

        //Number of charts produced in this demo module
        public int getNoOfCharts() { return 1; }

        //Main code for creating chart.
        //Note: the argument chartIndex is unused because this demo only has 1 chart.
        public void createChart(WPFChartViewer viewer, int chartIndex)
        {
            // Create a finance chart demo containing 100 days of data
            int noOfDays = 100;

            // To compute moving averages starting from the first day, we need to get extra data
            // points before the first day
            int extraDays = 30;

            // In this exammple, we use a random number generator utility to simulate the data. We
            // set up the random table to create 6 cols x (noOfDays + extraDays) rows, using 9 as
            // the seed.
            RanTable rantable = new RanTable(9, 6, noOfDays + extraDays);

            // Set the 1st col to be the timeStamp, starting from Sep 4, 2014, with each row
            // representing one day, and counting week days only (jump over Sat and Sun)
            rantable.setDateCol(0, new DateTime(2014, 9, 4), 86400, true);

            // Set the 2nd, 3rd, 4th and 5th columns to be high, low, open and close data. The open
            // value starts from 100, and the daily change is random from -5 to 5.
            rantable.setHLOCCols(1, 100, -5, 5);

            // Set the 6th column as the vol data from 5 to 25 million
            rantable.setCol(5, 50000000, 250000000);

            // Now we read the data from the table into arrays
            double[] timeStamps = rantable.getCol(0);
            double[] highData = rantable.getCol(1);
            double[] lowData = rantable.getCol(2);
            double[] openData = rantable.getCol(3);
            double[] closeData = rantable.getCol(4);
            double[] volData = rantable.getCol(5);

            // Custom data series should be of the same length as the OHLC data series
            double[] buySignal = new double[closeData.Length];
            double[] sellSignal = new double[closeData.Length];

            //
            // The following is just an arbitrary algorithm to create some meaningless buySignal and
            // sellSignal. They are just for demonstrating the charting engine. Please do not use
            // them for actual trading.
            //

            double[] sma5 = new ArrayMath(closeData).movAvg(5).result();
            double[] sma20 = new ArrayMath(closeData).movAvg(20).result();

            for(int i = 0; i < sma5.Length; ++i) {
                buySignal[i] = Chart.NoValue;
                sellSignal[i] = Chart.NoValue;
                if (i > 0) {
                    if ((sma5[i - 1] <= sma20[i - 1]) && (sma5[i] > sma20[i])) {
                        buySignal[i] = lowData[i];
                    }
                    if ((sma5[i - 1] >= sma20[i - 1]) && (sma5[i] < sma20[i])) {
                        sellSignal[i] = highData[i];
                    }
                }
            }

            // Create a FinanceChart object of width 640 pixels
            FinanceChart c = new FinanceChart(640);

            // Add a title to the chart
            c.addTitle("Finance Chart with Custom Symbols");

            // Set the data into the finance chart object
            c.setData(timeStamps, highData, lowData, openData, closeData, volData, extraDays);

            // Add the main chart with 240 pixels in height
            XYChart mainChart = c.addMainChart(240);

            // Add buy signal symbols to the main chart, using cyan (0x00ffff) upward pointing
            // arrows as symbols
            ScatterLayer buyLayer = mainChart.addScatterLayer(null, buySignal, "Buy",
                Chart.ArrowShape(0, 1, 0.4, 0.4), 11, 0x00ffff);
            // Shift the symbol lower by 20 pixels
            buyLayer.getDataSet(0).setSymbolOffset(0, 20);

            // Add sell signal symbols to the main chart, using purple (0x9900cc) downward pointing
            // arrows as symbols
            ScatterLayer sellLayer = mainChart.addScatterLayer(null, sellSignal, "Sell",
                Chart.ArrowShape(180, 1, 0.4, 0.4), 11, 0x9900cc);
            // Shift the symbol higher by 20 pixels
            sellLayer.getDataSet(0).setSymbolOffset(0, -20);

            // Add a 5 period simple moving average to the main chart, using brown color
            c.addSimpleMovingAvg(5, 0x663300);

            // Add a 20 period simple moving average to the main chart, using purple color
            c.addSimpleMovingAvg(20, 0x9900ff);

            // Add candlestick symbols to the main chart, using green/red for up/down days
            c.addCandleStick(0x66ff66, 0xff6666);

            // Add a volume indicator chart (75 pixels high) after the main chart, using
            // green/red/grey for up/down/flat days
            c.addVolIndicator(75, 0x99ff99, 0xff9999, 0x808080);

            // Append a 14-days RSI indicator chart (75 pixels high) after the main chart. The main
            // RSI line is purple (800080). Set threshold region to +/- 20 (that is, RSI = 50 +/-
            // 25). The upper/lower threshold regions will be filled with red (ff0000)/blue
            // (0000ff).
            c.addRSI(75, 14, 0x800080, 20, 0xff0000, 0x0000ff);

            // Output the chart
            viewer.Chart = c;
        }
    }
}

[ASP.NET Web Forms - C# version] NetWebCharts\CSharpASP\financesymbols.aspx
(Click here on how to convert this code to code-behind style.)
<%@ Page Language="C#" Debug="true" %>
<%@ Import Namespace="ChartDirector" %>
<%@ Register TagPrefix="chart" Namespace="ChartDirector" Assembly="netchartdir" %>

<!DOCTYPE html>

<script runat="server">

//
// Page Load event handler
//
protected void Page_Load(object sender, EventArgs e)
{
    // Create a finance chart demo containing 100 days of data
    int noOfDays = 100;

    // To compute moving averages starting from the first day, we need to get extra data points
    // before the first day
    int extraDays = 30;

    // In this exammple, we use a random number generator utility to simulate the data. We set up
    // the random table to create 6 cols x (noOfDays + extraDays) rows, using 9 as the seed.
    RanTable rantable = new RanTable(9, 6, noOfDays + extraDays);

    // Set the 1st col to be the timeStamp, starting from Sep 4, 2014, with each row representing
    // one day, and counting week days only (jump over Sat and Sun)
    rantable.setDateCol(0, new DateTime(2014, 9, 4), 86400, true);

    // Set the 2nd, 3rd, 4th and 5th columns to be high, low, open and close data. The open value
    // starts from 100, and the daily change is random from -5 to 5.
    rantable.setHLOCCols(1, 100, -5, 5);

    // Set the 6th column as the vol data from 5 to 25 million
    rantable.setCol(5, 50000000, 250000000);

    // Now we read the data from the table into arrays
    double[] timeStamps = rantable.getCol(0);
    double[] highData = rantable.getCol(1);
    double[] lowData = rantable.getCol(2);
    double[] openData = rantable.getCol(3);
    double[] closeData = rantable.getCol(4);
    double[] volData = rantable.getCol(5);

    // Custom data series should be of the same length as the OHLC data series
    double[] buySignal = new double[closeData.Length];
    double[] sellSignal = new double[closeData.Length];

    //
    // The following is just an arbitrary algorithm to create some meaningless buySignal and
    // sellSignal. They are just for demonstrating the charting engine. Please do not use them for
    // actual trading.
    //

    double[] sma5 = new ArrayMath(closeData).movAvg(5).result();
    double[] sma20 = new ArrayMath(closeData).movAvg(20).result();

    for(int i = 0; i < sma5.Length; ++i) {
        buySignal[i] = Chart.NoValue;
        sellSignal[i] = Chart.NoValue;
        if (i > 0) {
            if ((sma5[i - 1] <= sma20[i - 1]) && (sma5[i] > sma20[i])) {
                buySignal[i] = lowData[i];
            }
            if ((sma5[i - 1] >= sma20[i - 1]) && (sma5[i] < sma20[i])) {
                sellSignal[i] = highData[i];
            }
        }
    }

    // Create a FinanceChart object of width 640 pixels
    FinanceChart c = new FinanceChart(640);

    // Add a title to the chart
    c.addTitle("Finance Chart with Custom Symbols");

    // Set the data into the finance chart object
    c.setData(timeStamps, highData, lowData, openData, closeData, volData, extraDays);

    // Add the main chart with 240 pixels in height
    XYChart mainChart = c.addMainChart(240);

    // Add buy signal symbols to the main chart, using cyan (0x00ffff) upward pointing arrows as
    // symbols
    ScatterLayer buyLayer = mainChart.addScatterLayer(null, buySignal, "Buy", Chart.ArrowShape(0, 1,
        0.4, 0.4), 11, 0x00ffff);
    // Shift the symbol lower by 20 pixels
    buyLayer.getDataSet(0).setSymbolOffset(0, 20);

    // Add sell signal symbols to the main chart, using purple (0x9900cc) downward pointing arrows
    // as symbols
    ScatterLayer sellLayer = mainChart.addScatterLayer(null, sellSignal, "Sell", Chart.ArrowShape(
        180, 1, 0.4, 0.4), 11, 0x9900cc);
    // Shift the symbol higher by 20 pixels
    sellLayer.getDataSet(0).setSymbolOffset(0, -20);

    // Add a 5 period simple moving average to the main chart, using brown color
    c.addSimpleMovingAvg(5, 0x663300);

    // Add a 20 period simple moving average to the main chart, using purple color
    c.addSimpleMovingAvg(20, 0x9900ff);

    // Add candlestick symbols to the main chart, using green/red for up/down days
    c.addCandleStick(0x66ff66, 0xff6666);

    // Add a volume indicator chart (75 pixels high) after the main chart, using green/red/grey for
    // up/down/flat days
    c.addVolIndicator(75, 0x99ff99, 0xff9999, 0x808080);

    // Append a 14-days RSI indicator chart (75 pixels high) after the main chart. The main RSI line
    // is purple (800080). Set threshold region to +/- 20 (that is, RSI = 50 +/- 25). The
    // upper/lower threshold regions will be filled with red (ff0000)/blue (0000ff).
    c.addRSI(75, 14, 0x800080, 20, 0xff0000, 0x0000ff);

    // Output the chart
    WebChartViewer1.Image = c.makeWebImage(Chart.PNG);
}

</script>

<html>
<body>
    <chart:WebChartViewer id="WebChartViewer1" runat="server" />
</body>
</html>

[ASP.NET Web Forms - VB Version] NetWebCharts\VBNetASP\financesymbols.aspx
(Click here on how to convert this code to code-behind style.)
<%@ Page Language="VB" Debug="true" %>
<%@ Import Namespace="ChartDirector" %>
<%@ Register TagPrefix="chart" Namespace="ChartDirector" Assembly="netchartdir" %>

<!DOCTYPE html>

<script runat="server">

'
' Page Load event handler
'
Protected Sub Page_Load(ByVal sender As System.Object, ByVal e As System.EventArgs)

    ' Create a finance chart demo containing 100 days of data
    Dim noOfDays As Integer = 100

    ' To compute moving averages starting from the first day, we need to get extra data points
    ' before the first day
    Dim extraDays As Integer = 30

    ' In this exammple, we use a random number generator utility to simulate the data. We set up the
    ' random table to create 6 cols x (noOfDays + extraDays) rows, using 9 as the seed.
    Dim rantable As RanTable = New RanTable(9, 6, noOfDays + extraDays)

    ' Set the 1st col to be the timeStamp, starting from Sep 4, 2014, with each row representing one
    ' day, and counting week days only (jump over Sat and Sun)
    rantable.setDateCol(0, DateSerial(2014, 9, 4), 86400, True)

    ' Set the 2nd, 3rd, 4th and 5th columns to be high, low, open and close data. The open value
    ' starts from 100, and the daily change is random from -5 to 5.
    rantable.setHLOCCols(1, 100, -5, 5)

    ' Set the 6th column as the vol data from 5 to 25 million
    rantable.setCol(5, 50000000, 250000000)

    ' Now we read the data from the table into arrays
    Dim timeStamps() As Double = rantable.getCol(0)
    Dim highData() As Double = rantable.getCol(1)
    Dim lowData() As Double = rantable.getCol(2)
    Dim openData() As Double = rantable.getCol(3)
    Dim closeData() As Double = rantable.getCol(4)
    Dim volData() As Double = rantable.getCol(5)

    ' Custom data series should be of the same length as the OHLC data series
    Dim buySignal(UBound(closeData)) As Double
    Dim sellSignal(UBound(closeData)) As Double

    '
    ' The following is just an arbitrary algorithm to create some meaningless buySignal and
    ' sellSignal. They are just for demonstrating the charting engine. Please do not use them for
    ' actual trading.
    '

    Dim sma5() As Double = New ArrayMath(closeData).movAvg(5).result()
    Dim sma20() As Double = New ArrayMath(closeData).movAvg(20).result()

    For i As Integer = 0 To UBound(sma5)
        buySignal(i) = Chart.NoValue
        sellSignal(i) = Chart.NoValue
        If i > 0 Then
            If (sma5(i - 1) <= sma20(i - 1)) And (sma5(i) > sma20(i)) Then
                buySignal(i) = lowData(i)
            End If
            If (sma5(i - 1) >= sma20(i - 1)) And (sma5(i) < sma20(i)) Then
                sellSignal(i) = highData(i)
            End If
        End If
    Next

    ' Create a FinanceChart object of width 640 pixels
    Dim c As FinanceChart = New FinanceChart(640)

    ' Add a title to the chart
    c.addTitle("Finance Chart with Custom Symbols")

    ' Set the data into the finance chart object
    c.setData(timeStamps, highData, lowData, openData, closeData, volData, extraDays)

    ' Add the main chart with 240 pixels in height
    Dim mainChart As XYChart = c.addMainChart(240)

    ' Add buy signal symbols to the main chart, using cyan (0x00ffff) upward pointing arrows as
    ' symbols
    Dim buyLayer As ScatterLayer = mainChart.addScatterLayer(Nothing, buySignal, "Buy", _
        Chart.ArrowShape(0, 1, 0.4, 0.4), 11, &H00ffff&)
    ' Shift the symbol lower by 20 pixels
    buyLayer.getDataSet(0).setSymbolOffset(0, 20)

    ' Add sell signal symbols to the main chart, using purple (0x9900cc) downward pointing arrows as
    ' symbols
    Dim sellLayer As ScatterLayer = mainChart.addScatterLayer(Nothing, sellSignal, "Sell", _
        Chart.ArrowShape(180, 1, 0.4, 0.4), 11, &H9900cc)
    ' Shift the symbol higher by 20 pixels
    sellLayer.getDataSet(0).setSymbolOffset(0, -20)

    ' Add a 5 period simple moving average to the main chart, using brown color
    c.addSimpleMovingAvg(5, &H663300)

    ' Add a 20 period simple moving average to the main chart, using purple color
    c.addSimpleMovingAvg(20, &H9900ff)

    ' Add candlestick symbols to the main chart, using green/red for up/down days
    c.addCandleStick(&H66ff66, &Hff6666)

    ' Add a volume indicator chart (75 pixels high) after the main chart, using green/red/grey for
    ' up/down/flat days
    c.addVolIndicator(75, &H99ff99, &Hff9999, &H808080)

    ' Append a 14-days RSI indicator chart (75 pixels high) after the main chart. The main RSI line
    ' is purple (800080). Set threshold region to +/- 20 (that is, RSI = 50 +/- 25). The upper/lower
    ' threshold regions will be filled with red (ff0000)/blue (0000ff).
    c.addRSI(75, 14, &H800080, 20, &Hff0000, &H0000ff)

    ' Output the chart
    WebChartViewer1.Image = c.makeWebImage(Chart.PNG)

End Sub

</script>

<html>
<body>
    <chart:WebChartViewer id="WebChartViewer1" runat="server" />
</body>
</html>

[ASP.NET MVC - Controller] NetMvcCharts\Controllers\FinancesymbolsController.cs
using System;
using System.Web.Mvc;
using ChartDirector;

namespace NetMvcCharts.Controllers
{
    public class FinancesymbolsController : Controller
    {
        //
        // Default Action
        //
        public ActionResult Index()
        {
            ViewBag.Title = "Finance Chart Custom Symbols";
            createChart(ViewBag.Viewer = new RazorChartViewer(HttpContext, "chart1"));
            return View("~/Views/Shared/ChartView.cshtml");
        }

        //
        // Create chart
        //
        private void createChart(RazorChartViewer viewer)
        {
            // Create a finance chart demo containing 100 days of data
            int noOfDays = 100;

            // To compute moving averages starting from the first day, we need to get extra data points
            // before the first day
            int extraDays = 30;

            // In this exammple, we use a random number generator utility to simulate the data. We set up
            // the random table to create 6 cols x (noOfDays + extraDays) rows, using 9 as the seed.
            RanTable rantable = new RanTable(9, 6, noOfDays + extraDays);

            // Set the 1st col to be the timeStamp, starting from Sep 4, 2014, with each row representing
            // one day, and counting week days only (jump over Sat and Sun)
            rantable.setDateCol(0, new DateTime(2014, 9, 4), 86400, true);

            // Set the 2nd, 3rd, 4th and 5th columns to be high, low, open and close data. The open value
            // starts from 100, and the daily change is random from -5 to 5.
            rantable.setHLOCCols(1, 100, -5, 5);

            // Set the 6th column as the vol data from 5 to 25 million
            rantable.setCol(5, 50000000, 250000000);

            // Now we read the data from the table into arrays
            double[] timeStamps = rantable.getCol(0);
            double[] highData = rantable.getCol(1);
            double[] lowData = rantable.getCol(2);
            double[] openData = rantable.getCol(3);
            double[] closeData = rantable.getCol(4);
            double[] volData = rantable.getCol(5);

            // Custom data series should be of the same length as the OHLC data series
            double[] buySignal = new double[closeData.Length];
            double[] sellSignal = new double[closeData.Length];

            //
            // The following is just an arbitrary algorithm to create some meaningless buySignal and
            // sellSignal. They are just for demonstrating the charting engine. Please do not use them
            // for actual trading.
            //

            double[] sma5 = new ArrayMath(closeData).movAvg(5).result();
            double[] sma20 = new ArrayMath(closeData).movAvg(20).result();

            for(int i = 0; i < sma5.Length; ++i) {
                buySignal[i] = Chart.NoValue;
                sellSignal[i] = Chart.NoValue;
                if (i > 0) {
                    if ((sma5[i - 1] <= sma20[i - 1]) && (sma5[i] > sma20[i])) {
                        buySignal[i] = lowData[i];
                    }
                    if ((sma5[i - 1] >= sma20[i - 1]) && (sma5[i] < sma20[i])) {
                        sellSignal[i] = highData[i];
                    }
                }
            }

            // Create a FinanceChart object of width 640 pixels
            FinanceChart c = new FinanceChart(640);

            // Add a title to the chart
            c.addTitle("Finance Chart with Custom Symbols");

            // Set the data into the finance chart object
            c.setData(timeStamps, highData, lowData, openData, closeData, volData, extraDays);

            // Add the main chart with 240 pixels in height
            XYChart mainChart = c.addMainChart(240);

            // Add buy signal symbols to the main chart, using cyan (0x00ffff) upward pointing arrows as
            // symbols
            ScatterLayer buyLayer = mainChart.addScatterLayer(null, buySignal, "Buy", Chart.ArrowShape(0,
                1, 0.4, 0.4), 11, 0x00ffff);
            // Shift the symbol lower by 20 pixels
            buyLayer.getDataSet(0).setSymbolOffset(0, 20);

            // Add sell signal symbols to the main chart, using purple (0x9900cc) downward pointing
            // arrows as symbols
            ScatterLayer sellLayer = mainChart.addScatterLayer(null, sellSignal, "Sell",
                Chart.ArrowShape(180, 1, 0.4, 0.4), 11, 0x9900cc);
            // Shift the symbol higher by 20 pixels
            sellLayer.getDataSet(0).setSymbolOffset(0, -20);

            // Add a 5 period simple moving average to the main chart, using brown color
            c.addSimpleMovingAvg(5, 0x663300);

            // Add a 20 period simple moving average to the main chart, using purple color
            c.addSimpleMovingAvg(20, 0x9900ff);

            // Add candlestick symbols to the main chart, using green/red for up/down days
            c.addCandleStick(0x66ff66, 0xff6666);

            // Add a volume indicator chart (75 pixels high) after the main chart, using green/red/grey
            // for up/down/flat days
            c.addVolIndicator(75, 0x99ff99, 0xff9999, 0x808080);

            // Append a 14-days RSI indicator chart (75 pixels high) after the main chart. The main RSI
            // line is purple (800080). Set threshold region to +/- 20 (that is, RSI = 50 +/- 25). The
            // upper/lower threshold regions will be filled with red (ff0000)/blue (0000ff).
            c.addRSI(75, 14, 0x800080, 20, 0xff0000, 0x0000ff);

            // Output the chart
            viewer.Image = c.makeWebImage(Chart.PNG);
        }
    }
}

[ASP.NET MVC - View] NetMvcCharts\Views\Shared\ChartView.cshtml
@{ Layout = null; }

<!DOCTYPE html>

<html>
<head>
    <meta name="viewport" content="width=device-width" />
    <title>@ViewBag.Title</title>
</head>
<body style="margin:5px 0px 0px 5px">
    <div style="font:bold 18pt verdana;">
        @ViewBag.Title
    </div>
    <hr style="border:solid 1px #000080" />
    <div>
        @{
            if (ViewBag.Viewer is Array)
            {
                // Display multiple charts
                for (int i = 0; i < ViewBag.Viewer.Length; ++i)
                {
                    @:@Html.Raw(ViewBag.Viewer[i].RenderHTML())
                }
            }
            else
            {
                // Display one chart only
                @:@Html.Raw(ViewBag.Viewer.RenderHTML())
            }
        }
    </div>
</body>
</html>