public static void Test()
{
int minutesBefore = 120;
var dict = Go("NFP", TZ.LN, new DateTime(2013, 1, 1), DateTime.Today, "TY", new TimeSpan(0, minutesBefore, 0), new TimeSpan(0, 1, 0));
var listOfLines = new List<EventAnalysisLine>();
var dictToNormalized = new SortedDictionary<DateTime, double[]>();
var lcd = new SI.Controls.LineChartDataDisplay();
// display
{
var list = dict.ToArray().Select(x => new Tuple<string, DatedDataCollectionGen<double>>(x.Key.ToString("dd-MMM-yyyy HH:mm"), x.Value)).ToList();
var c = new SI.Controls.LineChartMultiArea();
int count = dict.Count();
int root = (int)Math.Sqrt(count);
c.Create(root, root + 1, list,"HH:mm","###0.00#");
c.DisplayInShowForm("Test!");
}
foreach (DateTime date in dict.Keys)
{
//dict[date].DisplayLineChart(date.ToString("dd-MMM-yyyy HH:mm"));
//var grid = dict[date].DisplayInGrid(date.ToString("dd-MMM-yyyy HH:mm"));
//grid.Grid.DisplayLayout.Bands[0].Columns[0].Format = "dd-MMM-yyyy HH:mm:ss";
int minIndex = 0, maxIndex = 0;
var px = dict[date];
if (px == null)
continue;
for (int i = 0; i < minutesBefore && i < px.Length; ++i)
{
minIndex = px.Data[i] <= px.Data[minIndex] ? i : minIndex;
maxIndex = px.Data[i] >= px.Data[maxIndex] ? i : maxIndex;
}
listOfLines.Add(new EventAnalysisLine()
{
EventDate = date,
IndexHighestAt = px.Dates[maxIndex],
IndexLowestAt = px.Dates[minIndex],
IndexHigh = px.Data[maxIndex],
IndexLow = px.Data[minIndex]
});
var normalizedSeries = px.Data.Take(minutesBefore).Select(x => (x - px.Data[minIndex]) / (px.Data[maxIndex] - px.Data[minIndex])).ToArray();
var adjustedDates = px.Dates.Take(minutesBefore).Select(x => new DateTime(2014, 1, 1, x.Hour, x.Minute, 0)).ToArray();
lcd.AddSeries(adjustedDates, normalizedSeries, date.ToString("dd-MM"));
}
listOfLines.DisplayInBoundGrid(string.Format("NFP analysis t-{0}mins", minutesBefore));
lcd.SetXAxisFormat("HH:mm");
lcd.DisplayInShowForm(string.Format("Normalized values per event t-{0}mins", minutesBefore));
}
protected override void OnClick(EventArgs e)
{
var c = new LineChartDataDisplay();
var source = Item.GetSource();
var series = source.OriginalPriceSeries;
var layer = c.AddSeries(series.Dates, series.Data, "Price");
layer.AxisX.TickmarkStyle = Infragistics.UltraChart.Shared.Styles.AxisTickStyle.Smart;
foreach (var year in source.IndividualsYears.Keys)
{
var vals = source.IndividualsYears[year].GetValuesBetweenDates(Item.StartDate, Item.EndDate);
var s = c.AddSeries(
dates_: vals.Dates.Select(x=>new DateTime(year,x.Month,x.Day)).ToArray(),
values_: vals.Data,
desc_: year.ToString(),
color_: Color.Yellow,
yAxisExtent_: 40,
yLabelFormat_: "###0.0#");
((LineChartAppearance)s.ChartTypeAppearance).Thickness = 3;
s.AxisX.TickmarkStyle = Infragistics.UltraChart.Shared.Styles.AxisTickStyle.Smart;
}
c.DisplayInShowForm(string.Format("{0} [{1} to {2}]", Item.Instrument, Item.StartDate.ToString("dd-MMM-yyyy"),
Item.EndDate.ToString("dd-MMM-yyyy")));
}
private static void SetYAxisForChart(LineChartDataDisplay chart, ChartLayerAppearance chartAppearance)
{
chartAppearance.AxisY = chart.FindYAxis(40, "##0.000", AxisNumber.Y2_Axis);
chartAppearance.AxisY.RangeType = AxisRangeType.Custom;
var max = (double) chartAppearance.Series.GetDataMaximum(AxisDataType.Numeric);
var min = (double) chartAppearance.Series.GetDataMinimum(AxisDataType.Numeric);
chartAppearance.AxisY.RangeMax = max + (max - min)*0.1;
chartAppearance.AxisY.RangeMin = min - (max - min)*0.1;
}
public void HistSeriesCandleChart()
{
var data = BbgData.getOHLCSeriesFromBbg(new DateTime(2015, 1, 1), "EUR Curncy", false);
var chart = new LineChartDataDisplay();
SI.Controls.LookFeel.ProcessControl(chart);
chart.AddCandleSeries(data, "candle chart", 40, "###0.000");
var max = data.GetColumnValues(1).Max();
var min = data.GetColumnValues(2).Min();
chart.FindYAxis(40).RangeType = AxisRangeType.Custom;
chart.FindYAxis(40).RangeMax = max + (max - min) * 0.1;
chart.FindYAxis(40).RangeMin = min - (max - min) * 0.1;
var form = chart.DisplayInShowForm("DeMark Chart");
Application.Run(form);
}
