public MainWindow() { InitializeComponent(); DataSeries data = new DataSeries(); data.AddRange(new List <DataPoint>() { new DataPoint { XValue = 1, YValue = 1 }, new DataPoint { XValue = 2, YValue = 5 }, new DataPoint { XValue = 3, YValue = 6 }, new DataPoint { XValue = 4, YValue = 9 }, new DataPoint { XValue = 5, YValue = 5 }, new DataPoint { XValue = 6, YValue = 7 }, new DataPoint { XValue = 7, YValue = 12 }, new DataPoint { XValue = 8, YValue = 10 }, }); data.Definition = new LineSeriesDefinition(); this.radChart.DefaultView.ChartArea.DataSeries.Add(data); }
public MainWindow() { InitializeComponent(); DataSeries data = new DataSeries(); data.AddRange(new List<DataPoint>() { new DataPoint { XValue = 1, YValue = 1 }, new DataPoint { XValue = 2, YValue = 5 }, new DataPoint { XValue = 3, YValue = 6 }, new DataPoint { XValue = 4, YValue = 9 }, new DataPoint { XValue = 5, YValue = 5 }, new DataPoint { XValue = 6, YValue = 7 }, new DataPoint { XValue = 7, YValue = 12 }, new DataPoint { XValue = 8, YValue = 10 }, }); data.Definition = new LineSeriesDefinition(); this.radChart.DefaultView.ChartArea.DataSeries.Add(data); }
public static void FillWithSampleFinancialData(DataSeries series, int numberOfItems, int numberOfPeaks) { Random random = new Random((int)(series.GetHashCode() + DateTime.Now.Ticks)); int[] openArray = new int[numberOfItems]; int[] closeArray = new int[numberOfItems]; int[] maxArray = new int[numberOfItems]; int[] minArray = new int[numberOfItems]; int[] peakIndices = new int[numberOfPeaks]; // Calculate peak indices for (int i = 1; i <= numberOfPeaks; i++) { peakIndices[i - 1] = Math.Min(i * numberOfItems / numberOfPeaks, numberOfItems - 1); } bool trend = false; int currentIndex = 0; int startValue = 20; //Calculate open close values for (int j = 0; j < numberOfPeaks; j++) { trend = !trend; int peakIndex = numberOfItems - 1; try { peakIndex = peakIndices[j]; } catch { } for (int k = currentIndex + 1; k <= peakIndex; k++, currentIndex++) { int factor = random.Next(1, 5); if (trend) { openArray[k] = random.Next(Math.Abs(startValue + factor), Math.Abs(startValue + (int)1.1 * factor)); } else { int min = Math.Min(Math.Abs(startValue - factor), Math.Abs(startValue - (int)1.1 * factor)); int max = Math.Max(Math.Abs(startValue - (int)1.1 * factor), Math.Abs(startValue - factor)); openArray[k] = random.Next(min, max); } closeArray[k - 1] = openArray[k]; } } openArray[0] = random.Next(startValue, closeArray[0]); closeArray[numberOfItems - 1] = random.Next(openArray[numberOfItems - 1], openArray[numberOfItems - 1] + 15); random = new Random((int)(series.GetHashCode() + DateTime.Now.Ticks)); //Calculate high values for (int i = 0; i < numberOfItems; i++) { int max = Math.Max(openArray[i], closeArray[i]); int abs = Math.Abs(openArray[i] - closeArray[i]); do { maxArray[i] = random.Next(max + 1, max + 3); }while (maxArray[i] <= max); } //Calculate low values for (int i = 0; i < numberOfItems; i++) { int min = Math.Min(openArray[i], closeArray[i]); Debug.Assert(min >= 0, "Open or close value is negative"); int abs = Math.Abs(openArray[i] - closeArray[i]); do { if (min > 0) { minArray[i] = Math.Abs(random.Next(min - 3, min - 1)); } else { minArray[i] = 0; } }while (minArray[i] > min || minArray[i] < 0); } List <DataPoint> randomPoints = new List <DataPoint>(); for (int i = 0; i < numberOfItems; i++) { DataPoint point = new DataPoint(); point.Open = openArray[i]; point.Close = closeArray[i]; point.Low = minArray[i]; point.High = maxArray[i]; randomPoints.Add(point); } IEnumerable <DataPoint> invalid = from r in randomPoints where r.Low < 0 || r.Open < 0 || r.High < 0 || r.Close < 0 select r; Debug.Assert(invalid.Count() == 0, "The generated data contains negative values."); series.AddRange(randomPoints); }
public static void FillWithSampleFinancialData(DataSeries series, int numberOfItems, int numberOfPeaks) { Random random = new Random((int)(series.GetHashCode() + DateTime.Now.Ticks)); int[] openArray = new int[numberOfItems]; int[] closeArray = new int[numberOfItems]; int[] maxArray = new int[numberOfItems]; int[] minArray = new int[numberOfItems]; int[] peakIndices = new int[numberOfPeaks]; // Calculate peak indices for (int i = 1; i <= numberOfPeaks; i++) { peakIndices[i - 1] = Math.Min(i * numberOfItems / numberOfPeaks, numberOfItems - 1); } bool trend = false; int currentIndex = 0; int startValue = 20; //Calculate open close values for (int j = 0; j < numberOfPeaks; j++) { trend = !trend; int peakIndex = numberOfItems - 1; try { peakIndex = peakIndices[j]; } catch { } for (int k = currentIndex + 1; k <= peakIndex; k++, currentIndex++) { int factor = random.Next(1, 5) ; if (trend) { openArray[k] = random.Next(Math.Abs(startValue + factor), Math.Abs(startValue + (int)1.1 * factor)); } else { int min = Math.Min(Math.Abs(startValue - factor), Math.Abs(startValue - (int)1.1 * factor)); int max = Math.Max(Math.Abs(startValue - (int)1.1 * factor), Math.Abs(startValue - factor)); openArray[k] = random.Next(min, max); } closeArray[k - 1] = openArray[k]; } } openArray[0] = random.Next(startValue, closeArray[0]); closeArray[numberOfItems - 1] = random.Next(openArray[numberOfItems - 1], openArray[numberOfItems - 1] + 15); random = new Random((int)(series.GetHashCode() + DateTime.Now.Ticks)); //Calculate high values for (int i = 0; i < numberOfItems; i++) { int max = Math.Max(openArray[i], closeArray[i]); int abs = Math.Abs(openArray[i] - closeArray[i]); do { maxArray[i] = random.Next(max + 1, max + 3 ); } while (maxArray[i] <= max); } //Calculate low values for (int i = 0; i < numberOfItems; i++) { int min = Math.Min(openArray[i], closeArray[i]); Debug.Assert(min >= 0, "Open or close value is negative"); int abs = Math.Abs(openArray[i] - closeArray[i]); do { if (min > 0) minArray[i] = Math.Abs(random.Next(min - 3 , min - 1)); else minArray[i] = 0; } while ( minArray[i] > min || minArray[i] < 0); } List<DataPoint> randomPoints = new List<DataPoint>(); for (int i = 0; i < numberOfItems; i++) { DataPoint point = new DataPoint(); point.Open = openArray[i]; point.Close = closeArray[i]; point.Low = minArray[i]; point.High = maxArray[i]; randomPoints.Add(point); } IEnumerable<DataPoint> invalid = from r in randomPoints where r.Low < 0 || r.Open < 0 || r.High < 0 || r.Close < 0 select r; Debug.Assert(invalid.Count() == 0, "The generated data contains negative values."); series.AddRange(randomPoints); }