/// <summary>
/// Public entry point
/// </summary>
/// <param name="list"></param>
/// <returns></returns>
public ChartValues <DateTimePoint> BackFillList(ChartValues <DateTimePoint> list)
{
list.ToList().ForEach(x => x.DateTime = RoundDown(x.DateTime, TimeSpan.FromMinutes(datePointTimeIntervalDays)));
ChartValues <DateTimePoint> completeList = GetListAllDates(list);
return(SortList(completeList));
}
private void Read3()
{
// double x = 1528.5;
// double y = 6.55733501913825e-46;
float x;
float y;
List <(ushort x, ushort y)> ulist = new List <(ushort x, ushort y)>();
List <(float x, float y)> fllist = new List <(float x, float y)>();
var list = ChartValues.ToList();
while (IsReading)
{
Thread.Sleep(500);
ushort[] b = ModbusCommand.command.Operation(Getter.channel_spectral_ch1);
ulist.Add((b[0], b[1]));
x = ((float)b[0]) / 1000 + 1520;
y = Utility.GetSingle(0, b[1]);
fllist.Add((x, y));
MeasureModel m = new MeasureModel
{
ValueX = (double)x,
ValueY = (double)y
};
list.Add(m);
try
{
list = list.OrderBy(t => t.ValueX).ToList();
ChartValues.Clear();
ChartValues.AddRange(list);
}
catch (Exception e)
{
var t = e;
}
// ChartValues = v1;
//ChartValues.Add(new MeasureModel
//{
// ValueX = x,
// ValueY = y
// // DateTime = now,
// // Value = _trend
//});
// SetAxisLimits(now);
// if (ChartValues.Count > 100) ChartValues.RemoveAt(0);
}
//var x1 = fllist.Select(b => b.x);
//var y1 = fllist.Select(b => b.y);
//float maxx = x1.Max();
//float minx = x1.Min();
//float maxy = y1.Max();
//float miny = y1.Min();
}
private void Read1()
{
// double x = 1528.5;
// double y = 6.55733501913825e-46;
double x = 1528;
double y;
var r = new Random();
var v = ChartValues.ToList();
while (IsReading)
{
Thread.Sleep(150);
x = r.Next(1528, 1629) + r.NextDouble();
y = r.Next(5, 6) + r.NextDouble();
MeasureModel m = new MeasureModel
{
ValueX = x,
ValueY = y
};
v.Add(m);
try
{
v = v.OrderBy(t => t.ValueX).ToList();
ChartValues.Clear();
ChartValues.AddRange(v);
}
catch (Exception e) {
var t = e;
}
// ChartValues = v1;
//ChartValues.Add(new MeasureModel
//{
// ValueX = x,
// ValueY = y
// // DateTime = now,
// // Value = _trend
//});
// SetAxisLimits(now);
if (ChartValues.Count > 100)
{
ChartValues.RemoveAt(0);
}
}
}
public void PopulateChartPrice(string ticker)
{
// Get historical data
List <Object> result = bbH.GetPriceVolumeValue(ticker, null, "20180101", "20180220");
List <double> price = (List <double>)result[1];
ChartValues <double> valueChart = new ChartValues <double>();
for (int i = 0; i < price.Count; i++)
{
valueChart.Add(price[i]);
}
// Compute Volatility
ChartValues <double> valueVolatility = new ChartValues <double>();
double V0 = price[0];
for (int i = 0; i < price.Count; i++)
{
double Vt = price[i];
valueVolatility.Add(((Vt / V0) - 1) * 100); // peut etre *100 à voir selon le résultat
}
NameAsset = ticker;
// Compute Performance
ChartValues <double> valuePerformance = new ChartValues <double>();
for (int i = 0; i < price.Count; i++)
{
double resultPerf = PopulationStandardDeviation(valueVolatility.Take(i).ToList());
valuePerformance.Add(resultPerf);
}
AssetValue = new SeriesCollection
{
new LineSeries
{
Title = "Asset Value",
Values = valueChart
}
};
AssetValuePerformance = new SeriesCollection
{
new LineSeries
{
Title = "Performance",
Values = valuePerformance
}
};
AssetValueVolatility = new SeriesCollection
{
new LineSeries
{
Title = "Volatility",
Values = valueVolatility
}
};
// Here for AssetReaserch
AssetResarch.ValuePerformance = valuePerformance.ToList();
AssetResarch.Value = valueChart.ToList();
AssetResarch.ValueVolatility = valueVolatility.ToList();
}
