public PolicySVMHistoryRaw(List <PriceCandle> training_data, int history_count, double c, double gamma)
{
this.history_count = history_count;
this.training_data = training_data;
ITemplateModelLikelihood <double, int> template = new TemplateModelLibSVMCSVC(c, gamma);
IDataContext data_context_labeled = null;
double[][] feature_data = null;
IIndicator indicator = new IndicatorMagicProfit(60);
//MarketModel model = new MarketModel(100000, training_data[0].Open, );
//indicator.ComputeAll();
int[][] label_data = null;
IDataSet <double, int> training_set = new DataSet <double, int>(data_context_labeled, feature_data, label_data);
model = template.GenerateModelLikelihood(training_set);
}
internal void DoExperiment()
{
ToolsPrice.ComposeBinary(ToolsPrice.DefaultSymbolGBPUSD);
PriceSet price_set = ToolsPrice.GetPriceSet(ToolsPrice.DefaultSymbolGBPUSD).SubSet(new DateTimeUTC(2016, 10, 17), new DateTimeUTC(2016, 10, 20));
//PlotLine2D line_plot_2d_0 = new PlotLine2D();
//ToolsTradingPlotting.AddPrice(line_plot_2d_0, price_set, TimeScale.Spot, PriceType.Bid, Color.Blue);
//ToolsTradingPlotting.AddPrice(line_plot_2d_0, price_set, TimeScale.Spot, PriceType.Mean, Color.Green);
//ToolsTradingPlotting.AddPrice(line_plot_2d_0, price_set, TimeScale.Spot, PriceType.Ask, Color.Red);
//ToolsTradingPlotting.AddPrice(line_plot_2d_0, price_set, TimeScale.Day1, PriceType.Bid, Color.Black);
//ToolsTradingPlotting.AddPrice(line_plot_2d_0, price_set, TimeScale.Day1, PriceType.Mean, Color.Green);
//ToolsTradingPlotting.AddPrice(line_plot_2d_0, price_set, TimeScale.Day1, PriceType.Ask, Color.Red);
//ToolsTradingPlotting.WriteToFile(ToolsTradingDataSet.GetPath() + "TestPlot0.png", line_plot_2d_0);
IIndicator indicator = new IndicatorMagicProfit(60);
PlotLine2D line_plot_2d_1 = new PlotLine2D();
ToolsTradingPlotting.AddIndicatorResult(line_plot_2d_1, price_set, indicator, new Color[] { Color.Red, Color.Green }, new int[] { 0, 1 });
ToolsTradingPlotting.WriteToFile(ToolsTradingDataSet.GetPath() + "TestPlot3.png", line_plot_2d_1);
//ToolsTradingPlotting.PlotPriceBid(ToolsTradingDataSet.GetPath() + "prices.png", prices);
//ToolsTradingPlotting.PlotIndicatorResult(ToolsTradingDataSet.GetPath() + "indicator_0.png", prices, indicator_0, color_list, index_list, true);
//ToolsTradingPlotting.PlotIndicatorResult(ToolsTradingDataSet.GetPath() + "indicator_1.png", prices, indicator_1, color_list, index_list, true);
//IPolicyTemplate policy = new PolicyTemplateJaapBands();
//MarketManagerSimulation exchange = new MarketManagerSimulation(10000, price_set);
//MarketResult market_result = exchange.Run(policy.Instance());
//Console.WriteLine(market_result.EndCash + " in: " + market_result.Market.ClosedOrders.Count);
//PlotLine2D line_plot_2d_0 = new PlotLine2D();
//ToolsTradingPlotting.AddBidAskTrades(line_plot_2d_0, market_result);
//ToolsTradingPlotting.WriteToFile(ToolsTradingDataSet.GetPath() + "TestPlot0.png", line_plot_2d_0);
//PlotLine2D line_plot_2d_1 = new PlotLine2D();
//ToolsTradingPlotting.AddCashEquity(line_plot_2d_1, market_result);
//ToolsTradingPlotting.WriteToFile(ToolsTradingDataSet.GetPath() + "TestPlot1.png", line_plot_2d_1);
}
public void DoExperiment()
{
PriceSet price_set = ToolsPrice.GetPriceSet(ToolsPrice.DefaultSymbolGBPUSD);
List <IIndicator> indicators = new List <IIndicator>();
indicators.Add(new IndicatorRunningAverage(4));
indicators.Add(new IndicatorRunningAverage(6));
indicators.Add(new IndicatorRunningAverage(8));
indicators.Add(new IndicatorRunningAverage(10));
indicators.Add(new IndicatorRunningAverage(12));
IIndicator feature_indicator = new IndicatorFusion(indicators);
IIndicator label_indicator = new IndicatorMagicProfit(60);
MarketModelSimulation market = new MarketModelSimulation(1000, price_set);
DataSet <double, double> dataset = ToolsTradingDataSet.CreateDataSet(market, feature_indicator, label_indicator);
ITemplateModelLabel <double, double> template = null;//new TemplateModelLibSVMCSVC();
IModelLabel <double, double> model = template.GenerateModel(dataset);
//TODO change everyting into templates
List <IIndicator> indicators_2 = new List <IIndicator>();
indicators_2.Add(new IndicatorRunningAverage(4));
indicators_2.Add(new IndicatorRunningAverage(6));
indicators_2.Add(new IndicatorRunningAverage(8));
indicators_2.Add(new IndicatorRunningAverage(10));
indicators_2.Add(new IndicatorRunningAverage(12));
IIndicator feature_indicator_2 = new IndicatorFusion(indicators_2);
//Build actual incator
IIndicator indicator_0 = new IndicatorMagicProfit(60);
IIndicator indicator_1 = new IndicatorMachineLearning(feature_indicator_2, model, "Profit_long_ml");
IList <Color> color_list = new Color[] { Color.Black };
IList <int> index_list = new int[] { 0 };
ToolsTradingPlotting.PlotIndicatorResult(ToolsTradingDataSet.GetPath() + "indicator_0.png", price_set, indicator_0, color_list, index_list, false);
ToolsTradingPlotting.PlotIndicatorResult(ToolsTradingDataSet.GetPath() + "indicator_1.png", price_set, indicator_1, color_list, index_list, false);
}
public void DoExperiment()
{
ToolsPrice.ComposeBinary(ToolsPrice.DefaultSymbolGBPUSD);
PriceSet price_set = ToolsPrice.GetPriceSet(ToolsPrice.DefaultSymbolGBPUSD).SubSet(new DateTimeUTC(2016, 10, 17), new DateTimeUTC(2016, 10, 20));
IIndicator indicator_feature = new IndicatorSuperBollinger();
IIndicator indicator_label = new IndicatorMagicProfit(60);
MarketModelSimulation market0 = new MarketModelSimulation(10000, price_set);
MarketModelSimulation market1 = new MarketModelSimulation(10000, price_set);
double[] time = new double[price_set.Prices.Count];
for (int price_index = 0; price_index < price_set.Prices.Count; price_index++)
{
time[price_index] = price_set.Prices[price_index].Time.Ticks;
}
Tuple <double[, ], bool[]> tuple0 = indicator_feature.ComputeAll(market0, price_set.Second1.Count);
Tuple <double[, ], bool[]> tuple1 = indicator_label.ComputeAll(market1, price_set.Second1.Count);
List <string[]> list_string = new List <string[]>();
for (int index_0 = 0; index_0 < tuple0.Item2.Length; index_0++)
{
if (tuple0.Item2[index_0] && tuple1.Item2[index_0])
{
double[] array_double = ToolsCollection.Append(tuple0.Item1.Select1DIndex0(index_0), tuple1.Item1.Select1DIndex0(index_0));
string[] array_string = new string[array_double.Length];
for (int index_1 = 0; index_1 < array_double.Length; index_1++)
{
array_string[index_1] = array_double[index_1].ToString(CultureInfo.InvariantCulture);
}
list_string.Add(array_string);
}
}
ToolsIOCSV.WriteCSVFile(ToolsTradingDataSet.GetPath() + "data.csv", ToolsCollection.ConvertToArray2D(list_string));
}
