コード例 #1
0
ファイル: LoginViewModel.cs プロジェクト: ifzz/FDK
 public LoginViewModel()
 {
     Address = "tp.dev.soft-fx.eu";
     Login = 100106;
     Password = "******";
     Wrapper = new FdkWrapper();
 }
コード例 #2
0
ファイル: Program.cs プロジェクト: ifzz/FDK
        static void Main()
        {
            var wrapper = new FdkWrapper
            {
                Address = "tpdemo.fxopen.com",
                Login = "******",
                Password = "******"
            };

            REngine.SetEnvironmentVariables();
            // There are several options to initialize the engine, but by default the following suffice:
            var engine = REngine.GetInstance();
			wrapper.SetupBuilder ();
            wrapper.Connect();
            var bars = wrapper.ConnectLogic.Storage.Online.GetBars("EURUSD", PriceType.Ask, BarPeriod.M1, DateTime.Now, -1000000).ToArray();
            WriteCsv(bars, "process.csv");

            // .NET Framework array to R vector.
            var group1 = engine.CreateNumericVector(new double[] { 30.02, 29.99, 30.11, 29.97, 30.01, 29.99 });
            engine.SetSymbol("group1", group1);
            // Direct parsing from R script.
       
            var lows = engine.CreateNumericVector(bars.Select(b => b.Low).ToArray());
            engine.SetSymbol("bar_lows", lows);
            var high = engine.CreateNumericVector(bars.Select(b => b.High).ToArray());
            engine.SetSymbol("bar_high", high);
            var opens = engine.CreateNumericVector(bars.Select(b => b.Open).ToArray());
            engine.SetSymbol("bar_opens", opens);
            var volumes = engine.CreateNumericVector(bars.Select(b => b.Volume).ToArray());
            engine.SetSymbol("bar_volumes", volumes);
       


            var group2 = engine.Evaluate("group2 <- c(29.89, 29.93, 29.72, 29.98, 30.02, 29.98)").AsNumeric();
            var dataR = engine.Evaluate("data <- read.csv('process.csv')");

            var meanHigh = engine.Evaluate("meanHigh <- mean(data$High)").AsNumeric();
            // Test difference of mean and get the P-value.
            var testResult = engine.Evaluate("t.test(group1, group2)").AsList();
            var p = testResult["p.value"].AsNumeric().First();
            

            Console.WriteLine("Group1: [{0}]", string.Join(", ", group1));
            Console.WriteLine("Group2: [{0}]", string.Join(", ", group2));


            Console.WriteLine("Meanhigh: [{0}]", string.Join(", ", meanHigh));
            Console.WriteLine("P-value = {0:0.000}", p);

            // you should always dispose of the REngine properly.
            // After disposing of the engine, you cannot reinitialize nor reuse it
            engine.Dispose();

        }