private void btnGo_Click(object sender, EventArgs e)
{
if (m_eventSelector.Dates == null || m_eventSelector.Dates.Length == 0)
return;
if (string.IsNullOrEmpty(tbFutureStart.Text.Trim()))
return;
ultraTabControl1.Tabs.Clear();
m_helperArgs.EventDates = m_eventSelector.Dates;
var dict = Helper.Go(m_helperArgs);
{
var chart = new SeasonalityChart();
chart.Dock = DockStyle.Fill;
var tab = ultraTabControl1.Tabs.Add();
tab.Text = "asdf";
tab.TabPage.Controls.Add(chart);
foreach (var v in dict)
chart.AddLineChart(v);
chart.Create();
LookFeel.ProcessChart(chart);
}
// display all lines in grid
{
var list = dict.Select(x => new Tuple<string, DatedDataCollectionGen<double>>(x.EventDate.ToString("dd-MMM-yy HH:mm"), x.RawFutureDataAroundEvent)).ToList();
var c = new SI.Controls.LineChartMultiArea();
c.Create(list, "HH:mm", "###0.00#");
var tab = ultraTabControl1.Tabs.Add();
tab.Text = "CleanPrice movement per event";
c.Dock = DockStyle.Fill;
tab.TabPage.Controls.Add(c);
LookFeel.ProcessChart(c);
}
}
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));
}