Platforms to show: All Mac Windows Linux Cross-Platform

/ChartDirector/Tracking Cursor/Finance Chart Track Line


Required plugins for this example: MBS ChartDirector Plugin

You find this example project in your Plugins Download as a Xojo project file within the examples folder: /ChartDirector/Tracking Cursor/Finance Chart Track Line

This example is the version from Wed, 13th Dec 2016.

Project "Finance Chart Track Line.xojo_binary_project"
Class App Inherits Application
Const kEditClear = "&Löschen"
Const kFileQuit = "Beenden"
Const kFileQuitShortcut = ""
End Class
Class Window1 Inherits Window
Control Canvas1 Inherits MyControl
ControlInstance Canvas1 Inherits MyControl
End Control
End Class
MenuBar MenuBar1
MenuItem FileMenu = "&Ablage"
MenuItem FileQuit = "#App.kFileQuit"
MenuItem EditMenu = "&Bearbeiten"
MenuItem EditUndo = "&Rückgängig"
MenuItem UntitledMenu1 = "-"
MenuItem EditCut = "&Ausschneiden"
MenuItem EditCopy = "&Kopieren"
MenuItem EditPaste = "&Einfügen"
MenuItem EditClear = "#App.kEditClear"
MenuItem UntitledMenu0 = "-"
MenuItem EditSelectAll = "&Alles auswählen"
End MenuBar
Class MyControl Inherits Canvas
EventHandler Sub MouseMove(X As Integer, Y As Integer) trackFinance x pic = m.makeChartPicture me.Invalidate End EventHandler
EventHandler Sub Open() // 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 new CDRanTableMBS(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, CDBaseChartMBS.chartTime(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 dim timeStamps(-1) as double = rantable.getCol(0).Values dim highData(-1) as double = rantable.getCol(1).Values dim lowData(-1) as double = rantable.getCol(2).Values dim openData(-1) as double = rantable.getCol(3).Values dim closeData(-1) as double = rantable.getCol(4).Values dim volData(-1) as double = rantable.getCol(5).Values // Create a FinanceChart object of width 720 pixels dim c as new CDFinanceChartMBS(720) m = c // Add a title to the chart call c.addTitle("Finance Chart Demonstration") // Disable default legend box, as we are using dynamic legend call c.setLegendStyle("normal", 8, CDBaseChartMBS.kTransparent, CDBaseChartMBS.kTransparent) // 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 main as CDXYChartMBS = c.addMainChart(240) // Add a 10 period simple moving average to the main chart, using brown color call c.addSimpleMovingAvg(10, &h663300) // Add a 20 period simple moving average to the main chart, using purple color call c.addSimpleMovingAvg(20, &h9900ff) // Add candlestick symbols to the main chart, using green/red for up/down days call c.addCandleStick(&h00ff00, &hff0000) // 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 call c.addBollingerBand(20, 2, &h9999ff, &hc06666ff) // Add a 75 pixels volume bars sub-chart to the bottom of the main chart, using green/red/grey for // up/down/flat days call c.addVolBars(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). call c.addRSI(75, 14, &h800080, 20, &hff0000, &h0000ff) // Append a MACD(26, 12) indicator chart (75 pixels high) after the main chart, using 9 days for // computing divergence. call c.addMACD(75, 26, 12, 9, &h0000ff, &hff00ff, &h008000) // Include track line with legend for the latest data values dim xchart as CDXYChartMBS = CDXYChartMBS(c.getchart(0)) trackFinance xchart.getPlotArea.getRightX pic = c.makeChartPicture me.Invalidate // fix some properties if set wrong in IDE me.DoubleBuffer = false me.EraseBackground = false #if RBVersion >= 2013.0 then me.Transparent = False #endif End EventHandler
EventHandler Sub Paint(g As Graphics, areas() As REALbasic.Rect) if pic <> nil then g.DrawPicture pic, 0, 0 end if End EventHandler
Sub trackFinance(mouseX as integer) // Clear the current dynamic layer and get the DrawArea object to draw on it. dim d as CDDrawAreaMBS = m.initDynamicLayer // It is possible for a FinanceChart to be empty, so we need to check for it. if m.getChartCount = 0 then return end if // Get the data x-value that is nearest to the mouse dim xchart as CDXYChartMBS = CDXYChartMBS(m.getChart(0)) dim xValue as double = xchart.getNearestXValue(mouseX) // Iterate the XY charts (main price chart and indicator charts) in the FinanceChart dim u as integer = m.getChartCount-1 for i as integer = 0 to u dim c as CDXYChartMBS = CDXYChartMBS(m.getChart(i)) // Variables to hold the legend entries dim ohlcLegend as string dim legendEntries(-1) as string // Iterate through all layers to find the highest data point dim lu as integer = c.getLayerCount-1 for j as integer = 0 to lu dim layer as CDLayerMBS = c.getLayerByZ(j) dim xIndex as integer = layer.getXIndexOf(xValue) dim dataSetCount as integer = layer.getDataSetCount // In a FinanceChart, only layers showing OHLC data can have 4 data sets if (dataSetCount = 4) then dim highValue as double = layer.getDataSet(0).getValue(xIndex) dim lowValue as double = layer.getDataSet(1).getValue(xIndex) dim openValue as double = layer.getDataSet(2).getValue(xIndex) dim closeValue as double = layer.getDataSet(3).getValue(xIndex) if (closeValue <> CDBaseChartMBS.kNoValue) then // Build the OHLC legend ohlcLegend = " <*block*>" ohlcLegend = ohlcLegend + "Open: " + c.formatValue(openValue, "{value|P4}") ohlcLegend = ohlcLegend + ", High: " + c.formatValue(highValue, "{value|P4}") ohlcLegend = ohlcLegend + ", Low: " + c.formatValue(lowValue, "{value|P4}") ohlcLegend = ohlcLegend + ", Close: " + c.formatValue(closeValue, "{value|P4}") // We also draw an upward or downward triangle for up and down days and the % // change dim lastCloseValue as double = layer.getDataSet(3).getValue(xIndex - 1) if (lastCloseValue <> CDBaseChartMBS.kNoValue) then dim change as double = closeValue - lastCloseValue dim percent as double = change * 100 / closeValue dim symbol as string = "<*font,color=CC0000*><*img=@invertedtriangle,width=8,color=CC0000*>" if change >= 0 then symbol = "<*font,color=008800*><*img=@triangle,width=8,color=008800*>" ohlcLegend = ohlcLegend + " " + symbol + " " + c.formatValue(change, "{value|P4}") ohlcLegend = ohlcLegend + " (" + c.formatValue(percent, "{value|2}") + "%)<*/font*>" end if ohlcLegend = ohlcLegend + "<*/*>" end if else // Iterate through all the data sets in the layer dim ku as integer = layer.getDataSetCount-1 for k as integer = 0 to ku dim dataSet as CDDataSetMBS = layer.getDataSetByZ(k) dim name as string = dataSet.getDataName dim value as double = dataSet.getValue(xIndex) if (name.len>0 and (value <> CDBaseChartMBS.kNoValue)) then // In a FinanceChart, the data set name consists of the indicator name and its // latest value. It is like "Vol: 123M" or "RSI (14): 55.34". As we are // generating the values dynamically, we need to extract the indictor name // out, and also the volume unit (if any). // The volume unit dim unitChar as string // The indicator name is the part of the name up to the colon character. dim delimiterPosition as integer = name.instr(":") if delimiterPosition>0 then // The unit, if any, is the trailing non-digit character(s). dim lastDigitPos as integer = name.FindLastOf("0123456789") if (lastDigitPos>0) and (lastDigitPos + 1 < len(name)) and (lastDigitPos > delimiterPosition) then unitChar = mid(name, lastDigitPos + 1) name = left(name, delimiterPosition-1) end if // In a FinanceChart, if there are two data sets, it must be representing a // range. if (dataSetCount = 2) then // We show both values in the range in a single legend entry value = layer.getDataSet(0).getValue(xIndex) dim value2 as double = layer.getDataSet(1).getValue(xIndex) name = name + ": " + c.formatValue(min(value, value2), "{value|P3}") name = name + " - " + c.formatValue(max(value, value2), "{value|P3}") else // In a FinanceChart, only the layer for volume bars has 3 data sets for // up/down/flat days if (dataSetCount = 3) then // The actual volume is the sum of the 3 data sets. value = layer.getDataSet(0).getValue(xIndex) + layer.getDataSet(1).getValue(xIndex) + layer.getDataSet(2).getValue(xIndex) end if // Create the legend entry name = name + ": " + c.formatValue(value, "{value|P3}") + unitChar end if // Build the legend entry, consist of a colored square box and the name (with // the data value in it). dim legendEntry as string dim h as string = hex(dataSet.getDataColor) while h.len<6 h = "0" + h wend legendEntry = "<*block*><*img=@square,width=8,edgeColor=000000,color=" + h + "*> " + name + "<*/*>" legendEntries.append legendEntry end if end if next end if next // Get the plot area position relative to the entire FinanceChart dim plotArea as CDPlotAreaMBS = c.getPlotArea dim plotAreaLeftX as integer = plotArea.getLeftX + c.getAbsOffsetX dim plotAreaTopY as integer = plotArea.getTopY + c.getAbsOffsetY // The legend begins with the date label, then the ohlcLegend (if any), and then the // entries for the indicators. dim legendText as string legendText = "<*block,valign=top,maxWidth=" + str(plotArea.getWidth - 5) + "*><*font=arialbd.ttf*>[" + c.xAxis.getFormattedLabel(xValue, "mmm dd, yyyy") + "]<*/font*>" + ohlcLegend for ii as integer = UBound(legendEntries) downto 0 legendText = legendText + " " + legendEntries(ii) next legendText = legendText + "<*/*>" // Draw a vertical track line at the x-position d.vline(plotAreaTopY, plotAreaTopY + plotArea.getHeight, c.getXCoor(xValue) + c.getAbsOffsetX, d.dashLineColor(&h000000, &h0101)) // Display the legend on the top of the plot area dim t as CDTTFTextMBS = d.text(legendText, "arial.ttf", 8) t.draw(plotAreaLeftX + 5, plotAreaTopY + 3, &h000000, CDBaseChartMBS.kTopLeft) t.destroy next End Sub
Note "Notes"
This sample program demonstrates a track cursor for a finance chart programmed with the following features: * A vertical line that follows the mouse cursor on the plot area and snaps to the nearest trading session. * Dynamically updated legend entries that show the price, volume and other technical indicators at the nearest trading session. The code first draws the finance chart with the legend box set to transparent (so that the default legend box is not displayed). It then sets the track cursor to the right side of the plot area. This ensures the chart initially has a dynamic legend for the latest trading session. The trackFinance method is the routine that draws the track cursor. Its key elements are: * To draw dynamic contents on the chart, the code obtains the DrawArea object for drawing on the dynamic layer of the chart using BaseChart.initDynamicLayer. * The nearest trading session is obtained from the first XYChart in the FinanceChart using XYChart.getNearestXValue. * The code iterates through all the XYChart objects in the FinanceChart. For each XYChart, the code iterates through all the layers to create dynamic legend entries. The FinanceChart creates default static legend entries for all indicators showing their latest values (even though the default static legend box is set to transparent in the chart). The code creates the dynamic legend entries by replacing the values in the static legend entries. * If a layer contains 4 data sets, the code assumes it is either a CandleStickLayer or HLOCLayer. It formats a legend entry consisting of the open, high, low, close values, as well as an up/down icon and the percentage change. * If a layer contains 2 data sets, the code assumes the layer is for a "band" or "channel" (such as Bollinger Band or Donchian Channel). The code formats a legend entry by replacing the values in the default legend entry (obtained using DataSet.getDataName). * If a layer contains 3 data sets, the code assumes the layer is for volume bars, with the 3 data sets representing volume bars of different colors for up, down and flat days. The code computes the volume by adding the values from the three data sets, and formats a legend entry by replacing the value in the default legend entry (obtained using DataSet.getDataName) with the computed value. * In all other cases, the code iterates the data sets. For each of them, it formats a legend by replacing the value in the default legend entry (obtained using DataSet.getDataName) with the value for the nearest trading session (obtained using DataSet.getValue). * Finally, the code combines all the legend entries into a legend box and draws it on top of the plot area using DrawArea.text. It also draws a vertical line at the nearest trading session using DrawArea.vline.
Property m As CDFinanceChartMBS
Property pic As Picture
End Class
Module Module1
Function FindLastOf(extends x as string, y as string) As integer dim last as integer = 0 dim l as integer = len(Y) for i as integer = 1 to l dim search as string = mid(y,i,1) dim pos as integer = instr(x, search) if pos>last then last = pos end if next Return last End Function
End Module
End Project

See also:

The items on this page are in the following plugins: MBS ChartDirector Plugin.


The biggest plugin in space...