/// <summary>
/// Load the data
/// </summary>
private void loadData()
{
// In this demo, we allow scrolling for the last 5 years.
DateTime lastDate = DateTime.Now.Date;
DateTime firstDate = DateTime.Now.Date.AddYears(-5);
// The initial view port is to show 1 year of data.
currentDuration = lastDate.Subtract(DateTime.Now.Date.AddYears(-1)).TotalSeconds;
//
// Get the data and stores them in a memory buffer for fast scrolling / zooming. In
// this demo, we just use a random number generator. In practice, you may get the data
// from a database or XML or by other means. (See the ChartDirector documentation on
// "Using Data Sources with ChartDirector" if you need some sample code on how to read
// data from database to array variables.)
//
// Set up random number generator
RanTable r = new RanTable(127, 4, lastDate.Subtract(firstDate).Days + 1);
r.setDateCol(0, firstDate, 86400);
r.setCol(1, 150, -10, 10);
r.setCol(2, 200, -10, 10);
r.setCol(3, 250, -10, 10);
// Read random data into the data arrays
timeStamps = Chart.NTime(r.getCol(0));
dataSeriesA = r.getCol(1);
dataSeriesB = r.getCol(2);
dataSeriesC = r.getCol(3);
}
//
// Create a random table for demo purpose.
//
private RanTable getRandomTable()
{
RanTable r = new RanTable(127, 4, 1828);
r.setDateCol(0, new DateTime(2010, 1, 1), 86400);
r.setCol(1, 150, -10, 10);
r.setCol(2, 200, -10, 10);
r.setCol(3, 250, -8, 8);
return(r);
}
//
// 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, 2002, with each row representing
// one day, and counting week days only (jump over Sat and Sun)
rantable.setDateCol(0, new DateTime(2002, 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);
// Create a FinanceChart object of width 640 pixels
FinanceChart c = new FinanceChart(640);
// Add a title to the chart
c.addTitle("Finance Chart Demonstration");
// Set the data into the finance chart object
c.setData(timeStamps, highData, lowData, openData, closeData, volData, extraDays);
// Add a slow stochastic chart (75 pixels high) with %K = 14 and %D = 3
c.addSlowStochastic(75, 14, 3, 0x006060, 0x606000);
// Add the main chart with 240 pixels in height
c.addMainChart(240);
// Add a 10 period simple moving average to the main chart, using brown color
c.addSimpleMovingAvg(10, 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(0x00ff00, 0xff0000);
// Add 20 days donchian channel to the main chart, using light blue (9999ff) as the border
// and semi-transparent blue (c06666ff) as the fill color
c.addDonchianChannel(20, 0x9999ff, unchecked ((int)0xc06666ff));
// Add a 75 pixels volume bars sub-chart to the bottom of the main chart, using
// green/red/grey for up/down/flat days
c.addVolBars(75, 0x99ff99, 0xff9999, 0x808080);
// Append a MACD(26, 12) indicator chart (75 pixels high) after the main chart, using 9 days
// for computing divergence.
c.addMACD(75, 26, 12, 9, 0x0000ff, 0xff00ff, 0x008000);
// Output the chart
viewer.Image = c.makeWebImage(Chart.PNG);
}
//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;
}
//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)
{
//
// We use a random table to simulate generating 12 months of data
//
// Create the random table object with 4 cols * 12 rows, using 3 as seed
RanTable rantable = new RanTable(3, 4, 12);
// Set the 1st column to be the 12 months of year 2002
rantable.setDateCol(0, new DateTime(2002, 1, 1), 86400 * 30);
// Set the 2nd, 3rd and 4th columns to be random numbers starting from 125, 75, and 100
// respectively. The change between rows is set to -35 to + 35. The minimum value of any
// cell is 0.
rantable.setCol(1, 125, -35, 35, 0);
rantable.setCol(2, 75, -35, 35, 0);
rantable.setCol(3, 100, -35, 35, 0);
// Get the 1st column (time) as the x data
double[] dataX = rantable.getCol(0);
// Get the 2nd, 3rd and 4th columns as 3 data sets
double[] dataY0 = rantable.getCol(1);
double[] dataY1 = rantable.getCol(2);
double[] dataY2 = rantable.getCol(3);
// Create a XYChart object of size 360 x 400 pixels
XYChart c = new XYChart(360, 400);
// Add a title to the chart
c.addTitle("<*underline=2*>Rotated Line Chart Demo", "Times New Roman Bold Italic", 14);
// Set the plotarea at (60, 75) and of size 190 x 320 pixels. Turn on both horizontal
// and vertical grid lines with light grey color (0xc0c0c0)
c.setPlotArea(60, 75, 190, 320).setGridColor(0xc0c0c0, 0xc0c0c0);
// Add a legend box at (270, 75)
c.addLegend(270, 75);
// Swap the x and y axis to become a rotated chart
c.swapXY();
// Set the y axis on the top side (right + rotated = top)
c.setYAxisOnRight();
// Add a title to the y axis
c.yAxis().setTitle("Throughput (MBytes)");
// Reverse the x axis so it is pointing downwards
c.xAxis().setReverse();
// Add a line chart layer using the given data
LineLayer layer = c.addLineLayer2();
layer.setXData(dataX);
layer.addDataSet(dataY0, 0xff0000, "Server A");
layer.addDataSet(dataY1, 0x338033, "Server B");
layer.addDataSet(dataY2, 0x0000ff, "Server C");
// Set the line width to 2 pixels
layer.setLineWidth(2);
// Output the chart
viewer.Chart = c;
//include tool tip for the chart
viewer.ImageMap = c.getHTMLImageMap("clickable", "",
"title='[{dataSetName}] {x|mm/yyyy}: {value|0} MByte'");
}
//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, 2002, with each row
// representing one day, and counting week days only (jump over Sat and Sun)
rantable.setDateCol(0, new DateTime(2002, 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);
// Create a FinanceChart object of width 640 pixels
FinanceChart c = new FinanceChart(640);
// Add a title to the chart
c.addTitle("Finance Chart Demonstration");
// 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
c.addMainChart(240);
// 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 HLOC symbols to the main chart, using green/red for up/down days
c.addHLOC(0x008000, 0xcc0000);
// Add 20 days bollinger band to the main chart, using light blue (9999ff) as the border
// and semi-transparent blue (c06666ff) as the fill color
c.addBollingerBand(20, 2, 0x9999ff, unchecked ((int)0xc06666ff));
// Add a 75 pixels volume bars sub-chart to the bottom of the main chart, using
// green/red/grey for up/down/flat days
c.addVolBars(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);
// Append a 12-days momentum indicator chart (75 pixels high) using blue (0000ff) color.
c.addMomentum(75, 12, 0x0000ff);
// Output the chart
viewer.Chart = c;
}
private void FrmTrackFinance_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, 2011, with each row representing one
// day, and counting week days only (jump over Sat and Sun)
rantable.setDateCol(0, new DateTime(2011, 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);
// Create a FinanceChart object of width 720 pixels
FinanceChart c = new FinanceChart(720);
// Add a title to the chart
c.addTitle("Finance Chart Demonstration");
// Disable default legend box, as we are using dynamic legend
c.setLegendStyle("normal", 8, Chart.Transparent, Chart.Transparent);
// 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
c.addMainChart(240);
// Add a 10 period simple moving average to the main chart, using brown color
c.addSimpleMovingAvg(10, 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(0x00ff00, 0xff0000);
// Add 20 days bollinger band to the main chart, using light blue (9999ff) as the border and
// semi-transparent blue (c06666ff) as the fill color
c.addBollingerBand(20, 2, 0x9999ff, unchecked ((int)0xc06666ff));
// Add a 75 pixels volume bars sub-chart to the bottom of the main chart, using green/red/grey for
// up/down/flat days
c.addVolBars(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);
// Append a MACD(26, 12) indicator chart (75 pixels high) after the main chart, using 9 days for
// computing divergence.
c.addMACD(75, 26, 12, 9, 0x0000ff, 0xff00ff, 0x008000);
// Include track line with legend for the latest data values
trackFinance(c, ((XYChart)c.getChart(0)).getPlotArea().getRightX());
// Assign the chart to the WinChartViewer
winChartViewer1.Chart = c;
}