//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;
}
/// <summary>
/// Add an indicator chart to the FinanceChart object. In this demo example, the indicator
/// parameters (such as the period used to compute RSI, colors of the lines, etc.) are hard
/// coded to commonly used values. You are welcome to design a more complex user interface
/// to allow users to set the parameters.
/// </summary>
/// <param name="m">The FinanceChart object to add the line to.</param>
/// <param name="indicator">The selected indicator.</param>
/// <param name="height">Height of the chart in pixels</param>
/// <returns>The XYChart object representing indicator chart.</returns>
protected XYChart addIndicator(FinanceChart m, string indicator, int height)
{
if (indicator == "RSI")
{
return(m.addRSI(height, 14, 0x800080, 20, 0xff6666, 0x6666ff));
}
else if (indicator == "StochRSI")
{
return(m.addStochRSI(height, 14, 0x800080, 30, 0xff6666, 0x6666ff));
}
else if (indicator == "MACD")
{
return(m.addMACD(height, 26, 12, 9, 0xff, 0xff00ff, 0x8000));
}
else if (indicator == "FStoch")
{
return(m.addFastStochastic(height, 14, 3, 0x6060, 0x606000));
}
else if (indicator == "SStoch")
{
return(m.addSlowStochastic(height, 14, 3, 0x6060, 0x606000));
}
else if (indicator == "ATR")
{
return(m.addATR(height, 14, 0x808080, 0xff));
}
else if (indicator == "ADX")
{
return(m.addADX(height, 14, 0x8000, 0x800000, 0x80));
}
else if (indicator == "DCW")
{
return(m.addDonchianWidth(height, 20, 0xff));
}
else if (indicator == "BBW")
{
return(m.addBollingerWidth(height, 20, 2, 0xff));
}
else if (indicator == "DPO")
{
return(m.addDPO(height, 20, 0xff));
}
else if (indicator == "PVT")
{
return(m.addPVT(height, 0xff));
}
else if (indicator == "Momentum")
{
return(m.addMomentum(height, 12, 0xff));
}
else if (indicator == "Performance")
{
return(m.addPerformance(height, 0xff));
}
else if (indicator == "ROC")
{
return(m.addROC(height, 12, 0xff));
}
else if (indicator == "OBV")
{
return(m.addOBV(height, 0xff));
}
else if (indicator == "AccDist")
{
return(m.addAccDist(height, 0xff));
}
else if (indicator == "CLV")
{
return(m.addCLV(height, 0xff));
}
else if (indicator == "WilliamR")
{
return(m.addWilliamR(height, 14, 0x800080, 30, 0xff6666, 0x6666ff));
}
else if (indicator == "Aroon")
{
return(m.addAroon(height, 14, 0x339933, 0x333399));
}
else if (indicator == "AroonOsc")
{
return(m.addAroonOsc(height, 14, 0xff));
}
else if (indicator == "CCI")
{
return(m.addCCI(height, 20, 0x800080, 100, 0xff6666, 0x6666ff));
}
else if (indicator == "EMV")
{
return(m.addEaseOfMovement(height, 9, 0x6060, 0x606000));
}
else if (indicator == "MDX")
{
return(m.addMassIndex(height, 0x800080, 0xff6666, 0x6666ff));
}
else if (indicator == "CVolatility")
{
return(m.addChaikinVolatility(height, 10, 10, 0xff));
}
else if (indicator == "COscillator")
{
return(m.addChaikinOscillator(height, 0xff));
}
else if (indicator == "CMF")
{
return(m.addChaikinMoneyFlow(height, 21, 0x8000));
}
else if (indicator == "NVI")
{
return(m.addNVI(height, 255, 0xff, 0x883333));
}
else if (indicator == "PVI")
{
return(m.addPVI(height, 255, 0xff, 0x883333));
}
else if (indicator == "MFI")
{
return(m.addMFI(height, 14, 0x800080, 30, 0xff6666, 0x6666ff));
}
else if (indicator == "PVO")
{
return(m.addPVO(height, 26, 12, 9, 0xff, 0xff00ff, 0x8000));
}
else if (indicator == "PPO")
{
return(m.addPPO(height, 26, 12, 9, 0xff, 0xff00ff, 0x8000));
}
else if (indicator == "UO")
{
return(m.addUltimateOscillator(height, 7, 14, 28, 0x800080, 20, 0xff6666, 0x6666ff));
}
else if (indicator == "Vol")
{
return(m.addVolIndicator(height, 0x99ff99, 0xff9999, 0xc0c0c0));
}
else if (indicator == "TRIX")
{
return(m.addTRIX(height, 12, 0xff));
}
return(null);
}
