public MacdPaneViewModel(CreateMultiPaneStockChartsViewModel parentViewModel, PriceSeries prices)
: base(parentViewModel)
{
IEnumerable <MacdPoint> macdPoints = prices.CloseData.Macd(12, 26, 9).ToList();
var histogramDataSeries = new XyDataSeries <DateTime, double>()
{
SeriesName = "Histogram"
};
histogramDataSeries.Append(prices.TimeData, macdPoints.Select(x => x.Divergence));
ChartSeriesViewModels.Add(new ColumnRenderableSeriesViewModel {
DataSeries = histogramDataSeries
});
var macdDataSeries = new XyyDataSeries <DateTime, double>()
{
SeriesName = "MACD"
};
macdDataSeries.Append(prices.TimeData, macdPoints.Select(x => x.Macd), macdPoints.Select(x => x.Signal));
ChartSeriesViewModels.Add(new BandRenderableSeriesViewModel
{
DataSeries = macdDataSeries,
StrokeThickness = 2,
});
YAxisTextFormatting = "0.00";
Height = 100;
}
public void AddOrUpdateLine(int id, int maxNumberOfPoints, string lineName)
{
if (lineDictionary.ContainsKey(id))
{
lineDictionary[id] = new XyDataSeries <double, double>(maxNumberOfPoints)
{
SeriesName = lineName
};
//sciChart.RenderableSeries.RemoveAt(id);
}
else
{
lineDictionary.Add(id, new XyDataSeries <double, double>(maxNumberOfPoints)
{
SeriesName = lineName
});
var lineRenderableSerie = new FastLineRenderableSeries();
lineRenderableSerie.Name = "lineRenderableSerie" + id.ToString();
lineRenderableSerie.DataSeries = lineDictionary[id];
lineRenderableSerie.DataSeries.AcceptsUnsortedData = true;
//Ajout de la ligne dans le scichart
sciChart.RenderableSeries.Add(lineRenderableSerie);
}
}
void CreateDataSeries()
{
// Init line data series
_lineDataSeries = new XyDataSeries <Double, Double>();
// Setting fifo capacity, once new data values will be added, the old one will be removed
_lineDataSeries.FifoCapacity = 500;
// Naming data series, so its name will be shown in LegendModifier
_lineDataSeries.SeriesName = "LineSeries";
for (var i = 0; i < 500; i++)
{
_lineDataSeries.Append(i, Math.Sin(i * 0.1));
}
// Init scatter data series
_scatterDataSeries = new XyDataSeries <Double, Double>();
// Setting fifo capacity, once new data values will be added, the old one will be removed
_scatterDataSeries.FifoCapacity = 500;
// Naming data series, so its name will be shown in LegendModifier
_scatterDataSeries.SeriesName = "ScatterSeries";
for (var i = 0; i < 500; i++)
{
_scatterDataSeries.Append(i, Math.Cos(i * 0.1));
}
_i = _lineDataSeries.Count;
}
public MainViewModel()
{
var ds0 = new XyDataSeries<double, double>();
var someData = new RandomWalkGenerator().GetRandomWalkSeries(200); // RandomWalkGenerator is found in the examples source code
ds0.Append(someData.XData, someData.YData);
// With SeriesSource API you do not need a DataSet. This is created automatically to match
// the type of DataSeries<Tx,Ty>. All DataSeries must be the same type however
// Create a list of ChartSeriesViewModel which unify dataseries and render series
// This way you can add/remove your series and change the render series type easily
// without worrying about DataSeriesIndex as per SciChart v1.3
_chartSeries = new ObservableCollection<IChartSeriesViewModel>();
_chartSeries.Add(new ChartSeriesViewModel(ds0, new FastLineRenderableSeries()));
// Now create the labels
_chartLabels = new[]
{
new LabelViewModel(5, -2.5, "Label0", "Label0 Tooltip!"),
new LabelViewModel(20, -2, "Label1", "Label1 Tooltip!"),
new LabelViewModel(35, 3, "Label2", "Label2 Tooltip!"),
new LabelViewModel(50, 1.5, "Label3", "Label3 Tooltip!"),
new LabelViewModel(65, -0.5, "Label4", "Label4 Tooltip!"),
};
}
private void MouseDragToPanXOrY_Loaded(object sender, RoutedEventArgs e)
{
// Performing multiple updates in a SuspendUpdates block is efficient as only one redraw is performed
using (sciChart.SuspendUpdates())
{
// Add some data series
var dataSeries0 = new XyDataSeries <double, double>();
var dataSeries1 = new XyDataSeries <double, double>();
var data2 = DataManager.Instance.GetFourierSeries(1.0, 0.1);
var data1 = DataManager.Instance.GetDampedSinewave(1500, 3.0, 0.0, 0.005, data2.Count);
// Append data to series.
dataSeries0.Append(data1.XData, data1.YData);
dataSeries1.Append(data2.XData, data2.YData);
// Assign data-series to renderable series
sciChart.RenderableSeries[0].DataSeries = dataSeries0;
sciChart.RenderableSeries[1].DataSeries = dataSeries1;
// Set initial zoom
sciChart.XAxis.VisibleRange = new DoubleRange(3, 6);
sciChart.ZoomExtentsY();
}
panXYDirection.ItemsSource = Enum.GetNames(typeof(XyDirection));
}
private void UpdateVolumeChart(PriceSeries prices)
{
// Create a new series and append Open, High, Low, Close data
VolumeData = new XyDataSeries <DateTime, long>();
VolumeData.SeriesName = string.Format("{0} Volume", prices.Symbol);
VolumeData.Append(prices.TimeData, prices.VolumeData);
}
private void QuadLeftRightAxes_Loaded(object sender, RoutedEventArgs e)
{
// Batch updates with one redraw
using (sciChart.SuspendUpdates())
{
// Add four data-series
var dataSeries0 = new XyDataSeries <DateTime, double>();
var dataSeries1 = new XyDataSeries <DateTime, double>();
var dataSeries2 = new XyDataSeries <DateTime, double>();
var dataSeries3 = new XyDataSeries <DateTime, double>();
var dataSeries4 = new XyDataSeries <DateTime, double>();
var dataSeries5 = new XyDataSeries <DateTime, double>();
var dataSeries6 = new XyDataSeries <DateTime, double>();
var dataSeries7 = new XyDataSeries <DateTime, double>();
// Fill each data-series with 2,000 pts of X,Y values (Date,Double) and assign to RenderableSeries
sciChart.RenderableSeries[0].DataSeries = FillData(dataSeries0, "Red Line");
sciChart.RenderableSeries[1].DataSeries = FillData(dataSeries1, "Grey Line");
sciChart.RenderableSeries[2].DataSeries = FillData(dataSeries2, "Orange Line");
sciChart.RenderableSeries[3].DataSeries = FillData(dataSeries3, "Blue Line");
sciChart.RenderableSeries[4].DataSeries = FillData(dataSeries4, "Another Blue");
sciChart.RenderableSeries[5].DataSeries = FillData(dataSeries5, "Green Line");
sciChart.RenderableSeries[6].DataSeries = FillData(dataSeries6, "Another Red");
sciChart.RenderableSeries[7].DataSeries = FillData(dataSeries7, "Another Grey");
}
sciChart.ZoomExtents();
}
public StackedMountainChartExampleView()
{
InitializeComponent();
var yValues1 = new[] { 4.0, 7, 5.2, 9.4, 3.8, 5.1, 7.5, 12.4, 14.6, 8.1, 11.7, 14.4, 16.0, 3.7, 5.1, 6.4, 3.5, 2.5, 12.4, 16.4, 7.1, 8.0, 9.0 };
var yValues2 = new[] { 15.0, 10.1, 10.2, 10.4, 10.8, 1.1, 11.5, 3.4, 4.6, 0.1, 1.7, 14.4, 6.0, 13.7, 10.1, 8.4, 8.5, 12.5, 1.4, 0.4, 10.1, 5.0, 0.0 };
var dataSeries1 = new XyDataSeries <double, double>()
{
SeriesName = "data1"
};
var dataSeries2 = new XyDataSeries <double, double>()
{
SeriesName = "data2"
};;
for (int i = 0; i < yValues1.Length; i++)
{
dataSeries1.Append(i, yValues1[i]);
}
for (int i = 0; i < yValues2.Length; i++)
{
dataSeries2.Append(i, yValues2[i]);
}
using (this.sciChart.SuspendUpdates())
{
this.mountainSeries1.DataSeries = dataSeries1;
this.mountainSeries2.DataSeries = dataSeries2;
}
}
public static ChartTypeModel NewVerticallyStackedMountains(Context context, bool isOneHundredPercent)
{
var collection = new VerticallyStackedMountainsCollection {
IsOneHundredPercent = isOneHundredPercent
};
for (var i = 0; i < 5; i++)
{
var dataSeries = new XyDataSeries <double, double> {
SeriesName = "Series " + (i + 1)
};
dataSeries.Append(DashboardDataHelper.XValues, DashboardDataHelper.YValues[i]);
var rSeries = new StackedMountainRenderableSeries
{
DataSeries = dataSeries,
StrokeStyle = new SolidPenStyle(context, new Color(SeriesColors[i * 2])),
AreaStyle = new LinearGradientBrushStyle(0, 0, 0, 1, new Color(SeriesColors[i * 2 + 1]), new Color(SeriesColors[i * 2]))
};
collection.Add(rSeries);
}
var name = isOneHundredPercent ? "100% " : "";
name += "Stacked mountains";
return(new ChartTypeModel(collection, name));
}
private void UpdatePriceChart(PriceSeries priceData)
{
// Create a new series and append Open, High, Low, Close data
var ohlcDataSeries = new OhlcDataSeries <DateTime, double>();
ohlcDataSeries.Append(priceData.TimeData, priceData.OpenData, priceData.HighData, priceData.LowData, priceData.CloseData);
PriceData = (IOhlcDataSeries <DateTime, double>) new DiscontinuousAxisFilter <double>(ohlcDataSeries, Calendar).FilteredDataSeries;
PriceData.SeriesName = priceData.Symbol;
var xyDataSeries = new XyDataSeries <DateTime, double>();
xyDataSeries.Append(priceData.TimeData, priceData.CloseData);
var discontinuousSeries = new DiscontinuousAxisFilter <double>(xyDataSeries, Calendar).FilteredDataSeries as IDataSeries <DateTime, double>;
// Create a series for the 200 period SMA which will be plotted as a line chart
Sma200Series = (IXyDataSeries <DateTime, double>) new MovingAverageFilter <DateTime>(discontinuousSeries, 200).FilteredDataSeries;
Sma200Series.SeriesName = "200 SMA";
// Create a series for the 50 period SMA which will be plotted as a line chart
Sma50Series = (IXyDataSeries <DateTime, double>) new MovingAverageFilter <DateTime>(discontinuousSeries, 50).FilteredDataSeries;
Sma50Series.SeriesName = "50 SMA";
// Update the chart type and timeframe with current settings
UpdateChartType(_chartType);
UpdateAnnoations();
}
public ScrollbarMvvmAxisViewModel()
{
YAxes = new ObservableCollection <IAxisViewModel>();
XAxes = new ObservableCollection <IAxisViewModel>();
RenderableSeries = new ObservableCollection <IRenderableSeriesViewModel>();
YAxes.Add(new NumericAxisViewModelWithScrollbar()
{
HasScrollbar = false, StyleKey = "ScrollbarAxisStyle"
});
XAxes.Add(new NumericAxisViewModelWithScrollbar()
{
HasScrollbar = true, StyleKey = "ScrollbarAxisStyle"
});
var xyData = new XyDataSeries <double>();
for (int i = 0; i < 100; i++)
{
xyData.Append(i, Math.Sin(i * 0.1));
}
RenderableSeries.Add(new LineRenderableSeriesViewModel()
{
DataSeries = xyData
});
}
public void ModifyAxisPropertiesLoaded(object sender, EventArgs e)
{
using (sciChart.SuspendUpdates())
{
// Add a data series
var dataSeries0 = new XyDataSeries <DateTime, double>();
var dataSeries1 = new OhlcDataSeries <DateTime, double>();
var dataSeries2 = new XyDataSeries <DateTime, double>();
var dataSource = DataManager.Instance;
// Prices are in the format Time, Open, High, Low, Close (all IList)
var prices = dataSource.GetPriceData(Instrument.Indu.Value, TimeFrame.Daily);
// Append data to series.
dataSeries0.Append(prices.TimeData, dataSource.Offset(prices.LowData, -1000));
dataSeries1.Append(prices.TimeData, prices.OpenData, prices.HighData, prices.LowData, prices.CloseData);
dataSeries2.Append(prices.TimeData, dataSource.ComputeMovingAverage(prices.CloseData, 50));
columnSeries.DataSeries = dataSeries0;
ohlcSeries.DataSeries = dataSeries1;
lineSeries.DataSeries = dataSeries2;
sciChart.ZoomExtents();
}
}
private void OnAxisMarkerAnnotationMove()
{
var doubleSeries = new XyDataSeries <double, double>();
var axisInfo = AxisMarkerAnnotation.AxisInfo;
var dataIndex = 0;
if (axisInfo != null)
{
var position = (double)axisInfo.DataValue;
dataIndex = sciChart.RenderableSeries[0].DataSeries.XValues.FindIndex(true, position, SearchMode.Nearest);
}
else
{
dataIndex = Convert.ToInt32(AxisMarkerAnnotation.X1);
}
if (_paletteProvider != null)
{
_paletteProvider.SelectedIndex = dataIndex;
}
for (var i = 0; i < sciChart.RenderableSeries.Count; i++)
{
doubleSeries.Append(i, (double)sciChart.RenderableSeries[i].DataSeries.YValues[dataIndex]);
_paletteProvider.OnBeginSeriesDraw(sciChart.RenderableSeries[i]);
}
if (sciChart3 != null && sciChart3.RenderableSeries.Any())
{
sciChart3.RenderableSeries[0].DataSeries = doubleSeries;
sciChart3.ZoomExtents();
}
}
private XyDataSeries <double, double> UpdateXyDataSeries()
{
var doubleSeries = new XyDataSeries <double, double>();
var _re = new double[1024];
var _im = new double[1024];
for (var i = 0; i < 1024; i++)
{
_re[i] = 2.0 * Math.Sin(2 * Math.PI * i / 20) +
5 * Math.Sin(2 * Math.PI * i / 10) +
2.0 * _random.NextDouble();
_im[i] = -10;
}
_transform.run(_re, _im);
var _re2 = new double[500];
var _im2 = new double[500];
for (var i = 0; i < 500; i++)
{
var mag = Math.Sqrt(_re[i] * _re[i] + _im[i] * _im[i]);
var yVal = 20 * Math.Log10(mag / 500);
_re2[i] = (yVal <-25 || yVal> -5)
? (yVal < -25) ? -25 : _random.Next(-6, -3)
: yVal;
_im2[i] = i;
}
_re2[0] = -25;
doubleSeries.Append(_im2, _re2);
return(doubleSeries);
}
public void AddOrUpdateLine(int lineId, int maxNumberOfPoints, string lineName, bool useYAxisRight = true)
{
if (LineExist(lineId))
{
lineDictionary[lineId] = new XyDataSeries <double, double>(maxNumberOfPoints)
{
SeriesName = lineName
};
//sciChart.RenderableSeries.RemoveAt(id);
}
else
{
lineDictionary.Add(lineId, new XyDataSeries <double, double>(maxNumberOfPoints)
{
SeriesName = lineName
});
var lineRenderableSerie = new FastLineRenderableSeries();
lineRenderableSerie.Name = "lineRenderableSerie" + lineId.ToString();
lineRenderableSerie.DataSeries = lineDictionary[lineId];
lineRenderableSerie.DataSeries.AcceptsUnsortedData = true;
if (useYAxisRight)
{
lineRenderableSerie.YAxisId = "RightYAxis";
}
else
{
lineRenderableSerie.YAxisId = "LeftYAxis";
}
//Ajout de la ligne dans le scichart
sciChart.RenderableSeries.Add(lineRenderableSerie);
}
}
private void StartUpdate(object obj) {
_isIdle = false;
Task.Run(() => {
_uiContext.Post(_ => {
Line1Data = new XyDataSeries<int, double>();
Line2Data = new XyDataSeries<int, double>();
}, null);
var line1Value = 99.5;
var line2Value = 100.5;
var rnd = new Random();
for (var i = 1; i < 1000; i++) {
_uiContext.Post(_ => {
Line1Data.Append(i, line1Value);
Line2Data.Append(i, line2Value);
}, null);
line1Value += rnd.NextDouble() - 0.5;
line2Value += rnd.NextDouble() - 0.5;
Thread.Sleep(5);
}
_isIdle = true;
});
}
private void FanChartExampleViewLoaded(object sender, RoutedEventArgs e)
{
// Variance data is a 2D table containing actual values and several levels of projected high, low values
IEnumerable <VarPoint> varianceData = GetVarianceData().ToArray();
// To render the Fan, we use an XyDataSeries and three band series'
var actualDataSeries = new XyDataSeries <DateTime, double>();
var var3DataSeries = new XyyDataSeries <DateTime, double>();
var var2DataSeries = new XyyDataSeries <DateTime, double>();
var var1DataSeries = new XyyDataSeries <DateTime, double>();
// Append data values from the Variance table
actualDataSeries.Append(varianceData.Select(x => x.Date), varianceData.Select(x => x.Actual));
var3DataSeries.Append(varianceData.Select(x => x.Date), varianceData.Select(x => x.VarMin), varianceData.Select(x => x.VarMax));
var2DataSeries.Append(varianceData.Select(x => x.Date), varianceData.Select(x => x.Var1), varianceData.Select(x => x.Var4));
var1DataSeries.Append(varianceData.Select(x => x.Date), varianceData.Select(x => x.Var2), varianceData.Select(x => x.Var3));
// Assign data to renderableseries
lineSeries.DataSeries = actualDataSeries;
projectedVar3.DataSeries = var3DataSeries;
projectedVar2.DataSeries = var2DataSeries;
projectedVar1.DataSeries = var1DataSeries;
sciChart.ZoomExtents();
}
private void RolloverFeedbackLoaded(object sender, RoutedEventArgs e)
{
sciChartSurface.YAxis.GrowBy = new DoubleRange(0.2, 0.2);
var seriesA = new XyDataSeries <double, double>();
var seriesB = new XyDataSeries <double, double>();
var seriesC = new XyDataSeries <double, double>();
seriesA.SeriesName = "Sinewave A";
seriesB.SeriesName = "Sinewave B";
seriesC.SeriesName = "Sinewave C";
double count = 100.0;
double k = 2 * Math.PI / 30.0;
for (int i = 0; i < (int)count; i++)
{
var phi = k * i;
seriesA.Append(i, (1.0 + i / count) * Math.Sin(phi));
seriesB.Append(i, (0.5 + i / count) * Math.Sin(phi));
seriesC.Append(i, (i / count) * Math.Sin(phi));
}
sciChartSurface.RenderableSeries[0].DataSeries = seriesA;
sciChartSurface.RenderableSeries[1].DataSeries = seriesB;
sciChartSurface.RenderableSeries[2].DataSeries = seriesC;
}
public HitTestDatapoints()
{
InitializeComponent();
// Append some data
var series0 = new XyDataSeries <double, double> {
SeriesName = "Line Series"
};
series0.Append(new double[] { 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 }, new double[] { 0, 0.1, 0.3, 0.5, 0.4, 0.35, 0.3, 0.25, 0.2, 0.1 });
renderableLineSeries.DataSeries = series0;
var series1 = new XyDataSeries <double, double> {
SeriesName = "Column Series"
};
series1.Append(series0.XValues, series0.YValues.Select(x => x * 0.7));
renderableColumnSeries.DataSeries = series1;
var series2 = new OhlcDataSeries <double, double> {
SeriesName = "Candlestick Series"
};
series2.Append(series0.XValues, series0.YValues.Select(x => x + 0.5), series0.YValues.Select(x => x + 1.0), series0.YValues.Select(x => x + 0.3), series0.YValues.Select(x => x + 0.7));
renderableCandlestickSeries.DataSeries = series2;
}
private void OnLoaded(object sender, RoutedEventArgs routedEventArgs)
{
// Create our data in another thread to stop the UI from being stalled.
// It's not appending to SciChart Dataseries that is the problem, its Calling Rand.Next() two million times which is pretty slow :)
TimedMethod.Invoke(() =>
{
var dataSeries = new XyDataSeries <double, double>()
{
AcceptsUnsortedData = true
};
var rand = new FasterRandom();
// Allow 1M points in WPF/DirectX. In Silverlight or software rendering, 100k points is enough to stress the renderer
int count = FeaturesHelper.Instance.SupportsHardwareAcceleration ? (int)1E6 : (int)1E5;
// Append some data
for (int i = 0; i < count; i++)
{
dataSeries.Append(rand.NextDouble(), rand.NextDouble());
}
// Bind to scichart
Action bindData = () => { BindData(dataSeries); };
Dispatcher.BeginInvoke(bindData);
}).After(200).OnThread(TimedMethodThread.Background).Go();
}
public CreateRealTimeTickingStockChartViewModel()
{
_seriesViewModels = new ObservableCollection <IRenderableSeriesViewModel>();
DateTime localDate = DateTime.Now; //Начальное время
//Загрузка данных которые хранятся в памяти
_marketDataService = new MarketDataService(localDate, 1, 1); //Время и период изменения
//Добавление модели для представления графиков
var ds0 = new XyDataSeries <DateTime, double> {
SeriesName = "Температура (*С)"
};
_seriesViewModels.Add(new LineRenderableSeriesViewModel {
DataSeries = ds0, StyleKey = "LineStyle"
});
//Добавление модели для представления графиков
var ds1 = new XyDataSeries <DateTime, double> {
SeriesName = "Давление (hPa)"
};
_seriesViewModels.Add(new LineRenderableSeriesViewModel {
DataSeries = ds1, StyleKey = "LineStyle1"
});
//Добавление модели для представления графиков
var ds2 = new XyDataSeries <DateTime, double> {
SeriesName = "Высота (м)"
};
_seriesViewModels.Add(new LineRenderableSeriesViewModel {
DataSeries = ds2, StyleKey = "LineStyle2"
});
//Добавление модели для представления графиков
var ds3 = new XyDataSeries <DateTime, double> {
SeriesName = "Влажность (%)"
};
_seriesViewModels.Add(new LineRenderableSeriesViewModel {
DataSeries = ds3, StyleKey = "LineStyle"
});
double y0 = 0;
double y1 = 0;
double y2 = 0;
double y3 = 0;
var indicators = _marketDataService.GetHistoricalData(0); //начальное значение (история)
ds0.Append(localDate, y0);
ds1.Append(localDate, y1);
ds2.Append(localDate, y2);
ds3.Append(localDate, y3);
SelectedSeriesStyle = "Line";
}
protected override void InitExample()
{
var xAxis = new SCIDateTimeAxis {
GrowBy = new SCIDoubleRange(0.1, 0.1), TextFormatting = "dd/MM/YYYY"
};
var yAxis = new SCINumericAxis {
GrowBy = new SCIDoubleRange(0.1, 0.1)
};
var dataSeries = new XyDataSeries <DateTime, double> {
DataDistributionCalculator = new SCIUserDefinedDistributionCalculator()
};
var xyyDataSeries = new XyyDataSeries <DateTime, double> {
DataDistributionCalculator = new SCIUserDefinedDistributionCalculator()
};
var xyyDataSeries1 = new XyyDataSeries <DateTime, double> {
DataDistributionCalculator = new SCIUserDefinedDistributionCalculator()
};
var xyyDataSeries2 = new XyyDataSeries <DateTime, double> {
DataDistributionCalculator = new SCIUserDefinedDistributionCalculator()
};
DataManager.Instance.GetFanData(10, result =>
{
dataSeries.Append(result.Date, result.ActualValue);
xyyDataSeries.Append(result.Date, result.MaxValue, result.MinValue);
xyyDataSeries1.Append(result.Date, result.Value1, result.Value4);
xyyDataSeries2.Append(result.Date, result.Value2, result.Value3);
});
var dataRenderSeries = new SCIFastLineRenderableSeries
{
DataSeries = dataSeries,
StrokeStyle = new SCISolidPenStyle(UIColor.Red, 1.0f)
};
var animation = new SCIWaveRenderableSeriesAnimation(3, SCIAnimationCurve.EaseOut);
animation.StartAfterDelay(0.3f);
dataRenderSeries.AddAnimation(animation);
using (Surface.SuspendUpdates())
{
Surface.XAxes.Add(xAxis);
Surface.YAxes.Add(yAxis);
Surface.RenderableSeries.Add(createRenderableSeriesWith(xyyDataSeries));
Surface.RenderableSeries.Add(createRenderableSeriesWith(xyyDataSeries1));
Surface.RenderableSeries.Add(createRenderableSeriesWith(xyyDataSeries2));
Surface.RenderableSeries.Add(dataRenderSeries);
Surface.ChartModifiers = new SCIChartModifierCollection
{
new SCIZoomPanModifier(),
new SCIPinchZoomModifier(),
new SCIZoomExtentsModifier()
};
}
}
protected override void InitExample()
{
var xAxis = new SCINumericAxis();
var yAxis = new SCINumericAxis();
var ds1 = new XyDataSeries <double, double> {
SeriesName = "Curve A"
};
var ds2 = new XyDataSeries <double, double> {
SeriesName = "Curve B"
};
var ds3 = new XyDataSeries <double, double> {
SeriesName = "Curve C"
};
var ds4 = new XyDataSeries <double, double> {
SeriesName = "Curve D"
};
var ds1Points = DataManager.Instance.GetStraightLine(4000, 1.0, 10);
var ds2Points = DataManager.Instance.GetStraightLine(3000, 1.0, 10);
var ds3Points = DataManager.Instance.GetStraightLine(2000, 1.0, 10);
var ds4Points = DataManager.Instance.GetStraightLine(1000, 1.0, 10);
ds1.Append(ds1Points.XData, ds1Points.YData);
ds2.Append(ds2Points.XData, ds2Points.YData);
ds3.Append(ds3Points.XData, ds3Points.YData);
ds4.Append(ds4Points.XData, ds4Points.YData);
var rs1 = new SCIFastLineRenderableSeries {
DataSeries = ds1, StrokeStyle = new SCISolidPenStyle(0xFFFFFF00, 2f)
};
var rs2 = new SCIFastLineRenderableSeries {
DataSeries = ds2, StrokeStyle = new SCISolidPenStyle(0xFF279B27, 2f)
};
var rs3 = new SCIFastLineRenderableSeries {
DataSeries = ds3, StrokeStyle = new SCISolidPenStyle(0xFFFF1919, 2f)
};
var rs4 = new SCIFastLineRenderableSeries {
DataSeries = ds4, IsVisible = false, StrokeStyle = new SCISolidPenStyle(0xFF1964FF, 2f)
};
using (Surface.SuspendUpdates())
{
Surface.XAxes.Add(xAxis);
Surface.YAxes.Add(yAxis);
Surface.RenderableSeries.Add(rs1);
Surface.RenderableSeries.Add(rs2);
Surface.RenderableSeries.Add(rs3);
Surface.RenderableSeries.Add(rs4);
Surface.ChartModifiers.Add(new SCILegendModifier {
SourceMode = SCISourceMode.AllSeries
});
rs1.AddAnimation(new SCISweepRenderableSeriesAnimation(3, SCIAnimationCurve.EaseOut));
rs2.AddAnimation(new SCISweepRenderableSeriesAnimation(3, SCIAnimationCurve.EaseOut));
rs3.AddAnimation(new SCISweepRenderableSeriesAnimation(3, SCIAnimationCurve.EaseOut));
rs4.AddAnimation(new SCISweepRenderableSeriesAnimation(3, SCIAnimationCurve.EaseOut));
}
}
private void OnTimerElapsed(object sender, EventArgs e)
{
if (_working)
{
return;
}
lock (_timer)
{
_working = true;
// The simulation is very computationally expensive, so we update in parallel
// What we observe is 400ms is required to update position of 1,000,000 elements
var sw = Stopwatch.StartNew();
_simulation.Tick(4);
sw.Stop();
//Console.WriteLine("Tick: {0}ms", sw.ElapsedMilliseconds);
// By creating and filling a new series per-frame, we avoid the need
// to call SuspendUpdates on the series, which will lock the parent chart.
//
// Therefore we can append on another thread (other than UI Thread) and the UI will
// draw the last series on the UI thread, while we are filling this series on the background thread
//
// The trade-off is memory usage. Each time you create and discard an XyDataSeries you are putting additional
// pressure on the garbage collector.
var victims = _seriesPool.Get();
var defenders = _seriesPool.Get();
using (victims.SuspendUpdates())
using (defenders.SuspendUpdates())
{
victims.Clear();
defenders.Clear();
var persons = _simulation.People;
for (int i = 0; i < persons.Length; ++i)
{
Person person = persons[i];
if (person.IsVictim)
{
victims.Append(person.Pos.X, person.Pos.Y);
}
else
{
defenders.Append(person.Pos.X, person.Pos.Y);
}
}
_seriesPool.Put((XyDataSeries <double>)Victims);
_seriesPool.Put((XyDataSeries <double>)Defenders);
Victims = victims;
Defenders = defenders;
}
_working = false;
}
}
private WaterfallDataSeries3D <double> ResampleDataSeries(WaterfallDataSeries3D <double> dataSeries, double[] slicePositions)
{
var pointsPerSlice = dataSeries.XSize;
var sliceCount = dataSeries.ZSize;
var resamplerFactory = new PointResamplerFactory();
var resamplingParams = new ResamplingParams
{
IsSortedData = true,
IsEvenlySpacedData = true,
IsCategoryData = false,
ContainsNaN = false,
ZeroLineY = 0.0,
PointRange = new IndexRange(0, pointsPerSlice - 1),
VisibleRange = dataSeries.XRange,
ViewportWidth = Width > 0.0 ? (int)Width : 640,
ResamplingPrecision = 1
};
var resampledSeriesesArray = new IPointSeries[sliceCount];
var sliceAsXySeries = new XyDataSeries <double>(pointsPerSlice);
var sliceAsXySeriesYValues = sliceAsXySeries.YValues as ISciList <double>;
sliceAsXySeriesYValues.SetCount(pointsPerSlice);
var xValues = new double[pointsPerSlice];
var xRangeMin = (double)dataSeries.XRange.Min;
var stepX = dataSeries.StepX;
for (int i = 0; i < pointsPerSlice; i++)
{
xValues[i] = xRangeMin + stepX * i;
}
// Init the XY series by first slice of the waterfall data series
sliceAsXySeries.InsertRange(0, xValues, dataSeries.InternalArray[0]);
resampledSeriesesArray[0] = sliceAsXySeries.ToPointSeries(resamplingParams, ResamplingMode.Auto, resamplerFactory, null);
for (int i = 1; i < sliceCount; i++)
{
var curRow = dataSeries.GetRowAt(i);
Array.Copy(curRow, sliceAsXySeriesYValues.ItemsArray, pointsPerSlice);
resampledSeriesesArray[i] = sliceAsXySeries.ToPointSeries(resamplingParams, ResamplingMode.Auto, resamplerFactory, null);
}
var resampledPerPointsPerSlice = resampledSeriesesArray[0].Count;
var resampledDataSeries = new WaterfallDataSeries3D <double>(resampledPerPointsPerSlice, slicePositions);
resampledDataSeries.StartX = dataSeries.StartX;
resampledDataSeries.StepX = dataSeries.StepX;
for (int i = 0; i < sliceCount; i++)
{
resampledDataSeries.SetRowAt(i, resampledSeriesesArray[i].YValues.Items);
}
return(resampledDataSeries);
}
public AnimatedDataSeriesFilter(XyDataSeries <double, double> originalDataSeries) : base(originalDataSeries)
{
_originalDataSeries = originalDataSeries;
FilteredDataSeries = _filteredDataSeries;
FilterAll();
}
// ReSharper disable PossibleMultipleEnumeration
private static IXyDataSeries <double, double> GetXyDataSeries(IEnumerable <double> data)
{
var dataSeries = new XyDataSeries <double, double>();
dataSeries.Append(data, data);
return(dataSeries);
}
private static IXyDataSeries <double, double> GetXyDataSeries(double[] data)
{
var dataSeries = new XyDataSeries <double, double>();
dataSeries.Append(GetXValues(data), data);
return(dataSeries);
}
private IDataSeries GetData()
{
var data = new XyDataSeries <double>();
data.Append(0, 0);
data.Append(1, 1);
data.Append(2, 2);
return(data);
}
public object Convert(object value, Type targetType, object parameter, System.Globalization.CultureInfo culture)
{
var depthAndCurves = value as ObservableCollection<DepthCurveInfo>;
var lstToBeUsed = depthAndCurves.Except(depthAndCurves.Where(u => u.Curve <= -999 && u.Curve >= (decimal)-999.99)).ToList();
var dataSeries = new XyDataSeries<double, double>();
dataSeries.AcceptsUnsortedData = true;
lstToBeUsed.ForEach(u => dataSeries.Append((double)u.Curve, (double)u.Depth));
return lstToBeUsed;
}
protected override void InitExample()
{
var xAxis = new SCINumericAxis {
VisibleRange = new SCIDoubleRange(3, 6)
};
var yAxis = new SCINumericAxis {
AutoRange = SCIAutoRange.Always, GrowBy = new SCIDoubleRange(0.05d, 0.05d)
};
var ds1 = new XyDataSeries <double, double> {
SeriesName = "Green Series"
};
var ds2 = new XyDataSeries <double, double> {
SeriesName = "Red Series"
};
var ds3 = new XyDataSeries <double, double> {
SeriesName = "Gray Series"
};
var ds4 = new XyDataSeries <double, double> {
SeriesName = "Gold Series"
};
var data1 = DataManager.Instance.GetNoisySinewave(300, 1, PointsCount, 0.25);
var data2 = DataManager.Instance.GetSinewave(100, 2, PointsCount);
var data3 = DataManager.Instance.GetSinewave(200, 1.5, PointsCount);
var data4 = DataManager.Instance.GetSinewave(50, 0.1, PointsCount);
ds1.Append(data1.XData, data1.YData);
ds2.Append(data2.XData, data2.YData);
ds3.Append(data3.XData, data3.YData);
ds4.Append(data4.XData, data4.YData);
using (Surface.SuspendUpdates())
{
Surface.XAxes.Add(xAxis);
Surface.YAxes.Add(yAxis);
Surface.RenderableSeries = new SCIRenderableSeriesCollection
{
new SCIFastLineRenderableSeries {
DataSeries = ds1, StrokeStyle = new SCISolidPenStyle(0xFF177B17, 2f)
},
new SCIFastLineRenderableSeries {
DataSeries = ds2, StrokeStyle = new SCISolidPenStyle(0xFFDD0909, 2f)
},
new SCIFastLineRenderableSeries {
DataSeries = ds3, StrokeStyle = new SCISolidPenStyle(0xFF808080, 2f)
},
new SCIFastLineRenderableSeries {
DataSeries = ds4, StrokeStyle = new SCISolidPenStyle(0xFFFFD700, 2f), IsVisible = false
},
};
Surface.ChartModifiers.Add(new SCICursorModifier
{
Style = { ShowAxisLabels = true, ShowTooltip = true, HitTestMode = SCIHitTestMode.Interpolate }
});
}
}
protected override void InitExample()
{
var xAxis = new SCINumericAxis {
AxisAlignment = SCIAxisAlignment.Left
};
var yAxis = new SCINumericAxis {
AxisAlignment = SCIAxisAlignment.Bottom, FlipCoordinates = true
};
var yValues1 = new[] { 0.0, 0.1, 0.2, 0.4, 0.8, 1.1, 1.5, 2.4, 4.6, 8.1, 11.7, 14.4, 16.0, 13.7, 10.1, 6.4, 3.5, 2.5, 5.4, 6.4, 7.1, 8.0, 9.0 };
var yValues2 = new[] { 2.0, 10.1, 10.2, 10.4, 10.8, 1.1, 11.5, 3.4, 4.6, 0.1, 1.7, 14.4, 16.0, 13.7, 10.1, 6.4, 3.5, 2.5, 1.4, 0.4, 10.1, 0.0, 0.0 };
var yValues3 = new[] { 20.0, 4.1, 4.2, 10.4, 10.8, 1.1, 11.5, 3.4, 4.6, 5.1, 5.7, 14.4, 16.0, 13.7, 10.1, 6.4, 3.5, 2.5, 1.4, 10.4, 8.1, 10.0, 15.0 };
var ds1 = new XyDataSeries <double, double> {
SeriesName = "data 1"
};
var ds2 = new XyDataSeries <double, double> {
SeriesName = "data 2"
};
var ds3 = new XyDataSeries <double, double> {
SeriesName = "data 3"
};
for (var i = 0; i < yValues1.Length; i++)
{
ds1.Append(i, yValues1[i]);
ds2.Append(i, yValues2[i]);
ds3.Append(i, yValues3[i]);
}
var series1 = GetRenderableSeries(ds1, 0xFF567893, 0xFF567893, 0xFF3D5568);
var series2 = GetRenderableSeries(ds2, 0xFFACBCCA, 0xFFACBCCA, 0xFF439AAF);
var series3 = GetRenderableSeries(ds3, 0xFFDBE0E1, 0xFFDBE0E1, 0xFFB6C1C3);
var columnsCollection = new SCIVerticallyStackedColumnsCollection();
columnsCollection.Add(series1);
columnsCollection.Add(series2);
columnsCollection.Add(series3);
var animation = new SCIWaveRenderableSeriesAnimation(3, SCIAnimationCurve.EaseOut);
animation.StartAfterDelay(0.3f);
columnsCollection.AddAnimation(animation);
using (Surface.SuspendUpdates())
{
Surface.XAxes.Add(xAxis);
Surface.YAxes.Add(yAxis);
Surface.RenderableSeries.Add(columnsCollection);
Surface.ChartModifiers = new SCIChartModifierCollection
{
new SCICursorModifier(),
new SCIZoomExtentsModifier()
};
}
}
private XyDataSeries <double> GetData()
{
var xyDataSeries = new XyDataSeries <double>();
xyDataSeries.Append(0, 0);
xyDataSeries.Append(1, 1);
xyDataSeries.Append(2, 2);
return(xyDataSeries);
}
public void AddLithologiesToTrack(TrackToShow track)
{
var renderableSeries = track.CurveRenderableSeries.Where(u => u.GetType() == typeof(FastLineRenderableSeries)).Select(v => v as FastLineRenderableSeries);
FastLineRenderableSeries actualLithologySeries = null;
actualLithologySeries = renderableSeries.SingleOrDefault(u => u.Name == "Lithology" && u.XAxisId == "Lithology");
if (actualLithologySeries == null)
{
LithologyManager.Instance.AddLithologyAxisInChart(track);
actualLithologySeries = renderableSeries.SingleOrDefault(u => u.Name == "Lithology" && u.XAxisId == "Lithology");
}
var lst = track.TrackObject.Lithologies;
actualLithologySeries.IsVisible = true;
var grouped = lst.GroupBy(u => u.LithologyName).ToList();
var seriesCollection = new ObservableCollection<FastLineRenderableSeries>();
var trackObject = track.TrackObject;
var curveToShowObject = track.Curves.SingleOrDefault(u => u.RefChart == trackObject.RefChart && u.RefTrack == trackObject.ID && u.RefDataset == "Lithology");
foreach (var obj in grouped)
{
var dataSeries = new XyDataSeries<double, double>();
var fullDataSeries = new XyDataSeries<double, double>();
string imageName = obj.Key;
FastLineRenderableSeries normalLithologySeries = GetNormalLithologySeries(dataSeries, imageName);
FastLineRenderableSeries fullLithologySeries = GetFullLithologySeries(fullDataSeries, imageName, track);
ApplyBindingToNormalLithology(actualLithologySeries, normalLithologySeries);
ApplyBindingToFullLithology(actualLithologySeries, fullLithologySeries);
seriesCollection.Add(normalLithologySeries);
seriesCollection.Add(fullLithologySeries);
foreach (var item in obj)
{
decimal initialDepth = item.InitialDepth;
decimal finalDepth = item.FinalDepth;
for (decimal i = initialDepth; i <= finalDepth; i++)
{
dataSeries.Append(9.5, double.Parse(i.ToString()));
fullDataSeries.Append(5, double.Parse(i.ToString()));
}
}
if (curveToShowObject != null)
actualLithologySeries.IsVisible = curveToShowObject.IsSeriesVisible;
}
foreach (var series in seriesCollection)
track.CurveRenderableSeries.Add(series);
}
private static FastLineRenderableSeries GetNormalLithologySeries(XyDataSeries<double, double> dataSeries, string imageName)
{
return new FastLineRenderableSeries
{
Tag = imageName,
DataSeries = dataSeries,
XAxisId = "Lithology",
ResamplingMode = ResamplingMode.None,
PointMarker = new LithologyMarker(imageName)
{
Width = 50
},
};
}
// Business logic
/// <summary>
/// Add data for a symbol to the chart
/// </summary>
/// <param name="quoteList">Retrieved quotes</param>
/// <param name="seriesName">Name for the series (symbol + moving average length)</param>
private void AddSeries(SortedList<DateTime, double> quoteList, string seriesName)
{
// Create a new data series
var series = new XyDataSeries<DateTime, double>();
series.Append(quoteList.Keys, quoteList.Values);
series.SeriesName = seriesName;
stockChart.DataSet.Add(series);
// Display the data via RenderableSeries
var renderSeries = new FastMountainRenderableSeries();
stockChart.RenderableSeries.Add(renderSeries);
stockChart.DataSet.InvalidateParentSurface(RangeMode.ZoomToFit);
stockChart.ZoomExtents();
}
public void AddLithologyObject(LithologyInfo lithology, ChartToShow chartToShow = null, IEnumerable<Chart> charts = null)
{
if (chartToShow == null)
chartToShow = IoC.Kernel.Get<IGlobalDataModel>().MainViewModel.Charts.SingleOrDefault(u => u.ChartObject.ID == lithology.RefChart);
if (chartToShow == null) return;
var trackToShowObject = chartToShow.Tracks.SingleOrDefault(u => u.TrackObject.ID == lithology.RefTrack);
if (trackToShowObject == null) return;
if (trackToShowObject.TrackObject == null)
throw new Exception("Track not found against track to show object while adding lithology");
//while loading project track object would already have lithologies in it, so we dont have to re-add it in the object
if (!trackToShowObject.TrackObject.Lithologies.Any(u => u.ID == lithology.ID))
trackToShowObject.TrackObject.Lithologies.Add(lithology);
FastLineRenderableSeries actualLithologySeries = null;
//track to show object has renderable series for lithologies
//get the proper renderable series and add an annotation to it
if (!trackToShowObject.CurveRenderableSeries.Any(u => (u as FastLineRenderableSeries).Name == "Lithology"))
{
AddLithologyAxisInChart(trackToShowObject, charts);
}
var normalDataSeries = new XyDataSeries<double, double>();
var fullDataSeries = new XyDataSeries<double, double>();
var renderableSeries = trackToShowObject.CurveRenderableSeries.Where(u => u.GetType() == typeof(FastLineRenderableSeries)).Select(v => v as FastLineRenderableSeries);
actualLithologySeries = renderableSeries.SingleOrDefault(u => u.Name == "Lithology" && u.XAxisId == "Lithology");
FastLineRenderableSeries normalLithologySeries = null;
FastLineRenderableSeries fullLithologySeries = null;
var subSeries = renderableSeries.Where(u => u.Tag != null && u.Tag.ToString() == lithology.LithologyName);
if (!subSeries.Any())
{
normalLithologySeries = GetNormalLithologySeries(normalDataSeries, lithology.LithologyName);
fullLithologySeries = GetFullLithologySeries(fullDataSeries, lithology.LithologyName, trackToShowObject);
trackToShowObject.CurveRenderableSeries.Add(normalLithologySeries);
trackToShowObject.CurveRenderableSeries.Add(fullLithologySeries);
ApplyBindingToNormalLithology(actualLithologySeries, normalLithologySeries);
ApplyBindingToFullLithology(actualLithologySeries, fullLithologySeries);
}
else
{
foreach (var series in subSeries)
{
if (series.PointMarker.Width == 50)
{
normalLithologySeries = series;
normalDataSeries = normalLithologySeries.DataSeries as XyDataSeries<double, double>;
}
else
{
fullLithologySeries = series;
fullDataSeries = fullLithologySeries.DataSeries as XyDataSeries<double, double>;
}
}
}
var startingPoint = int.Parse(lithology.InitialDepth.ToString());
var endingPoint = int.Parse(lithology.FinalDepth.ToString());
for (decimal i = startingPoint; i <= endingPoint; i++)
{
normalDataSeries.Append(9.5, double.Parse(i.ToString()));
fullDataSeries.Append(5, double.Parse(i.ToString()));
}
}
/// <summary>
/// To analyze.
/// </summary>
protected override void OnAnalyze()
{
var chart = Chart;
var grid = Grid;
var chartSeries = new XyDataSeries<double, double>();
ThreadSafeObservableCollection<GridRow> gridSeries = null;
chart.GuiSync(() =>
{
// clear prev values
chart.RenderableSeries.Clear();
grid.Columns.Clear();
chart.RenderableSeries.Add(new FastColumnRenderableSeries
{
ResamplingMode = ResamplingMode.None,
DataPointWidth = 1,
SeriesColor = Colors.Chocolate,
DataSeries = chartSeries
});
chart.XAxis = new NumericAxis { AxisTitle = LocalizedStrings.Price };
chart.YAxis = new NumericAxis { AxisTitle = LocalizedStrings.Volume, GrowBy = new DoubleRange(0, 0.1) };
grid.AddTextColumn("Price", LocalizedStrings.Price).Width = 150;
var volumeColumn = grid.AddTextColumn("Volume", LocalizedStrings.Volume);
volumeColumn.Width = 100;
var gridSource = new ObservableCollectionEx<GridRow>();
grid.ItemsSource = gridSource;
gridSeries = new ThreadSafeObservableCollection<GridRow>(gridSource);
grid.SetSort(volumeColumn, ListSortDirection.Descending);
});
// get candle storage
var storage = StorateRegistry.GetCandleStorage(typeof(TimeFrameCandle), Security, TimeFrame, format: StorageFormat);
// get available dates for the specified period
var dates = storage.GetDates(From, To).ToArray();
var rows = new Dictionary<decimal, GridRow>();
foreach (var loadDate in dates)
{
// check if stopped
if (ProcessState != ProcessStates.Started)
break;
// load candles
var candles = storage.Load(loadDate);
// groupping candles by candle's middle price
var groupedCandles = candles.GroupBy(c => c.LowPrice + c.GetLength() / 2);
foreach (var group in groupedCandles.OrderBy(g => g.Key))
{
// check if stopped
if (ProcessState != ProcessStates.Started)
break;
var price = group.Key;
// calc total volume for the specified time frame
var sumVol = group.Sum(c => c.TotalVolume);
var row = rows.TryGetValue(price);
if (row == null)
{
// new price level
rows.Add(price, row = new GridRow { Price = price, Volume = sumVol });
// draw on chart
chartSeries.Append((double)price, (double)sumVol);
// draw on table
gridSeries.Add(row);
}
else
{
// update existing price level
row.Volume += sumVol;
// update chart
chartSeries.Update((double)price, (double)row.Volume);
}
}
chart.GuiAsync(() =>
{
// update grid sorting
grid.RefreshSort();
// scale chart
chart.ZoomExtents();
});
}
// notify the script stopped
Stop();
}
/// <summary>
/// To analyze.
/// </summary>
protected override void OnAnalyze()
{
var chart = Chart;
var grid = Grid;
var chartSeries = new XyDataSeries<double, double>();
ThreadSafeObservableCollection<GridRow> gridSeries = null;
chart.GuiSync(() =>
{
// очищаем данные с предыдущего запуска скрипта
chart.RenderableSeries.Clear();
grid.Columns.Clear();
chart.RenderableSeries.Add(new FastColumnRenderableSeries
{
ResamplingMode = ResamplingMode.None,
DataPointWidth = 1,
SeriesColor = Colors.Chocolate,
DataSeries = chartSeries
});
chart.XAxis = new NumericAxis { AxisTitle = LocalizedStrings.Price };
chart.YAxis = new NumericAxis { AxisTitle = LocalizedStrings.Volume, GrowBy = new DoubleRange(0, 0.1) };
grid.AddTextColumn("Price", LocalizedStrings.Price).Width = 150;
var volumeColumn = grid.AddTextColumn("Volume", LocalizedStrings.Volume);
volumeColumn.Width = 100;
var gridSource = new ObservableCollectionEx<GridRow>();
grid.ItemsSource = gridSource;
gridSeries = new ThreadSafeObservableCollection<GridRow>(gridSource);
grid.SetSort(volumeColumn, ListSortDirection.Descending);
});
// получаем хранилище свечек
var storage = StorateRegistry.GetCandleStorage(typeof(TimeFrameCandle), Security, TimeFrame, format: StorageFormat);
// получаем набор доступных дат за указанный период
var dates = storage.GetDates(From, To).ToArray();
var rows = new Dictionary<decimal, GridRow>();
foreach (var loadDate in dates)
{
// проверяем флаг остановки
if (ProcessState != ProcessStates.Started)
break;
// загружаем свечки
var candles = storage.Load(loadDate);
// группируем свечки по цене (середина свечи)
var groupedCandles = candles.GroupBy(c => c.LowPrice + c.GetLength() / 2);
foreach (var group in groupedCandles.OrderBy(g => g.Key))
{
// проверяем флаг остановки
if (ProcessState != ProcessStates.Started)
break;
var price = group.Key;
// получаем суммарный объем в пределах ценового уровня за день
var sumVol = group.Sum(c => c.TotalVolume);
var row = rows.TryGetValue(price);
if (row == null)
{
// пришел новый уровень - добавляем новую запись
rows.Add(price, row = new GridRow { Price = price, Volume = sumVol });
// выводим на график
chartSeries.Append((double)price, (double)sumVol);
// выводит в таблицу
gridSeries.Add(row);
}
else
{
// увеличиваем суммарный объем
row.Volume += sumVol;
// обновляем график
chartSeries.Update((double)price, (double)row.Volume);
}
}
chart.GuiAsync(() =>
{
// обновление сортировки в таблице
grid.RefreshSort();
// автомасштабирование графика
chart.ZoomExtents();
});
}
// оповещаем программу об окончании выполнения скрипта
base.Stop();
}
public ChartViewModel()
{
this.SetDefaults();
if (IsInDesignMode)
{
// Code runs in Blend --> create design time data.
_marketDataService = new MarketDataService(new DateTime(2015, 08, 11), 1, 5000);
}
else
{
// Code runs "for real"
_marketDataService = new MarketDataService(new DateTime(2015, 08, 11), 1, 1000);
}
var ds0 = new OhlcDataSeries<DateTime, double>();
_seriesViewModels.Add(new ChartSeriesViewModel(ds0, new FastOhlcRenderableSeries() { Name = "Series1", XAxisId = "dateTimeXAxis", YAxisId = "Y1" }));
// Append 500 historical bars to data series
var prices = _marketDataService.GetHistoricalData(500);
ds0.Append(
prices.Select(x => x.DateTime),
prices.Select(x => x.Open),
prices.Select(x => x.High),
prices.Select(x => x.Low),
prices.Select(x => x.Close));
//Create price/volume distribution
double minPrice = prices.Select(x => x.Low).Min();
double maxPrice = prices.Select(x => x.High).Max();
int numBins = 5;
double interval = (maxPrice - minPrice) / numBins;
var bins = new Tuple<double, double>[numBins];
double binLower = minPrice;
for (int i = 0; i < numBins; i++)
{
bins[i] = new Tuple<double, double>(binLower, binLower + interval);
binLower += interval;
}
var dsVolByPrice = new XyDataSeries<double, double>();
_seriesViewModels.Add(new ChartSeriesViewModel(dsVolByPrice, new FastColumnRenderableSeries() { Name = "PriceByVol", XAxisId = "verticalXAxis", YAxisId = "Y2" }));
var dblVolume = new List<double>();
for (int i = 0; i < numBins; i++) dblVolume.Add(10 - i);
dsVolByPrice.Append(bins.Select(x => x.Item1), dblVolume);
_marketDataService.SubscribePriceUpdate(OnNewPrice);
_xVisibleRange = new IndexRange(0, 1000);
SelectedChartType = ChartType.FastOhlc;
//this.DeleteCommand = new RelayCommand(DeleteCommandExecuted);
}
private static FastLineRenderableSeries GetFullLithologySeries(XyDataSeries<double, double> dataSeries, string imageName, TrackToShow track)
{
var marker = new LithologyMarker(imageName)
{
Fill = Colors.Red,
Stroke = Colors.Green
};
FastLineRenderableSeries series = new FastLineRenderableSeries
{
Tag = imageName,
DataSeries = dataSeries,
XAxisId = "Lithology",
ResamplingMode = ResamplingMode.None,
PointMarker = marker
};
BindingOperations.SetBinding(marker, LithologyMarker.WidthProperty, new Binding("Width")
{
Source = track.TrackObject
});
return series;
}
