Пример #1
0
        public void FinishAndProcess()
        {
            for (int i = 0; i < symbols.Length; i++)
            {
                SortedList <DateTime, Tick> d = mktData[i].data.Data;

                for (int j = 0; j < numTicks; j++)
                {
                    graphData[i, j] = indicator.HandleNextTick(d.Values[j]);
                }
            }

            Visualize.GenerateMultiSymbolGraph(symbols, graphData, mktData[0].data.Data.Values[0].Time,
                                               DateTimeUtils.TimeFrameToTimeSpan(timeframe), "C:\\Users\\Ethan\\Work\\QuantSysdata.html");

            Console.WriteLine("Done Processing symbol set.");
        }
Пример #2
0
        public void FinishAndProcess()
        {
            try
            {
                var priceData = new DenseMatrix(symbols.Length, numTicks);

                for (int j = 0; j < symbols.Length; j++)
                {
                    SortedList <DateTime, Tick> d = mktData[j].data.Data;
                    for (int k = 0; k < d.Count; k++)
                    {
                        //if (!symbols[j].Substring(0, 3).Equals("USD")) priceData[j, k] = 1/d.Values[k].BidClose;
                        priceData[j, k] = d.Values[k].BidOpen;
                    }
                }

                Vector <double> price1 = priceData.Row(0);
                Vector <double> price2 = priceData.Row(1);
                //Statistics.ApplyFunction((DenseVector)price1, Math.Log);
                //Statistics.ApplyFunction((DenseVector)price2, Math.Log);

                DenseVector norm1 = price1.ToArray().NormalizeZScore();
                DenseVector norm2 = price2.ToArray().NormalizeZScore();

                var newsym = new string[symbols.Length + 4];
                for (int i = 0; i < symbols.Length; i++)
                {
                    newsym[i] = symbols[i];
                }

                newsym[2] = "spread";
                newsym[3] = "EMA5";
                newsym[4] = "EMA15";
                newsym[5] = "EMA30";


                var m = new DenseMatrix(6, norm1.Count);
                m.SetRow(0, norm1);
                m.SetRow(1, norm2);
                m.SetRow(2, (norm1 - norm2).ToArray().NormalizeZScore());
                m.SetRow(3, EMA.CalcEMA(m.Row(2).ToArray(), 5));
                m.SetRow(4, EMA.CalcEMA(m.Row(2).ToArray(), 15));
                m.SetRow(5, EMA.CalcEMA(m.Row(2).ToArray(), 30));

                string filename = symbols[0].Replace('/', '_') + "-" + symbols[1].Replace('/', '_') + ".html";


                ((DenseVector)m.Row(0)).GenerateSimpleGraph("C:\\Sangar\\result.html");

                Visualize.GenerateMultiSymbolGraph(newsym, m, DateTime.Now.AddSeconds(-60 * 5 * 300), new TimeSpan(0, 5, 0),
                                                   "C:\\Sangar\\" + filename);

                FileUpload.UploadFileToFTP("C:\\Sangar\\" + filename, filename);

                Spread = m[2, m.ColumnCount - 1];

                if (Spread > 2.0 && m[2, m.ColumnCount - 2] <= 2.0)
                {
                    Emailer.SendEmail(symbols[0] + "-" + symbols[1] + " Spread Above 2.0", "Test");
                }

                if (Spread < -2.0 && m[2, m.ColumnCount - 2] >= -2.0)
                {
                    Emailer.SendEmail(symbols[0] + "-" + symbols[1] + " Spread Below -2.0", "Test");
                }

                //if (m[2, m.ColumnCount - 1] < 0.5 && m[2, m.ColumnCount - 2] >= 0.5)
                //    Emailer.SendEmail(symbols[0] + "-" + symbols[1] + " Spread Below 0.5", "Test");

                //if (m[2, m.ColumnCount - 1] > -0.5 && m[2, m.ColumnCount - 2] <= -0.5)
                //    Emailer.SendEmail(symbols[0] + "-" + symbols[1] + " Spread Above -0.5", "Test");
            }
            catch (Exception e)
            {
                Console.WriteLine(e.Message);
            }
        }