//
        // Create chart
        //
        private void createChart(RazorChartViewer viewer)
        {
            // Create a finance chart demo containing 100 days of data
            int noOfDays = 100;

            // To compute moving averages starting from the first day, we need to get extra data points
            // before the first day
            int extraDays = 30;

            // In this exammple, we use a random number generator utility to simulate the data. We set up
            // the random table to create 6 cols x (noOfDays + extraDays) rows, using 9 as the seed.
            RanTable rantable = new RanTable(9, 6, noOfDays + extraDays);

            // Set the 1st col to be the timeStamp, starting from Sep 4, 2002, with each row representing
            // one day, and counting week days only (jump over Sat and Sun)
            rantable.setDateCol(0, new DateTime(2002, 9, 4), 86400, true);

            // Set the 2nd, 3rd, 4th and 5th columns to be high, low, open and close data. The open value
            // starts from 100, and the daily change is random from -5 to 5.
            rantable.setHLOCCols(1, 100, -5, 5);

            // Set the 6th column as the vol data from 5 to 25 million
            rantable.setCol(5, 50000000, 250000000);

            // Now we read the data from the table into arrays
            double[] timeStamps = rantable.getCol(0);
            double[] highData   = rantable.getCol(1);
            double[] lowData    = rantable.getCol(2);
            double[] openData   = rantable.getCol(3);
            double[] closeData  = rantable.getCol(4);
            double[] volData    = rantable.getCol(5);

            // Create a FinanceChart object of width 640 pixels
            FinanceChart c = new FinanceChart(640);

            // Add a title to the chart
            c.addTitle("Finance Chart Demonstration");

            // Set the data into the finance chart object
            c.setData(timeStamps, highData, lowData, openData, closeData, volData, extraDays);

            // Add a slow stochastic chart (75 pixels high) with %K = 14 and %D = 3
            c.addSlowStochastic(75, 14, 3, 0x006060, 0x606000);

            // Add the main chart with 240 pixels in height
            c.addMainChart(240);

            // Add a 10 period simple moving average to the main chart, using brown color
            c.addSimpleMovingAvg(10, 0x663300);

            // Add a 20 period simple moving average to the main chart, using purple color
            c.addSimpleMovingAvg(20, 0x9900ff);

            // Add candlestick symbols to the main chart, using green/red for up/down days
            c.addCandleStick(0x00ff00, 0xff0000);

            // Add 20 days donchian channel to the main chart, using light blue (9999ff) as the border
            // and semi-transparent blue (c06666ff) as the fill color
            c.addDonchianChannel(20, 0x9999ff, unchecked ((int)0xc06666ff));

            // Add a 75 pixels volume bars sub-chart to the bottom of the main chart, using
            // green/red/grey for up/down/flat days
            c.addVolBars(75, 0x99ff99, 0xff9999, 0x808080);

            // Append a MACD(26, 12) indicator chart (75 pixels high) after the main chart, using 9 days
            // for computing divergence.
            c.addMACD(75, 26, 12, 9, 0x0000ff, 0xff00ff, 0x008000);

            // Output the chart
            viewer.Image = c.makeWebImage(Chart.PNG);
        }
        //Main code for creating chart.
        //Note: the argument chartIndex is unused because this demo only has 1 chart.
        public void createChart(WPFChartViewer viewer, int chartIndex)
        {
            // Create a finance chart demo containing 100 days of data
            int noOfDays = 100;

            // To compute moving averages starting from the first day, we need to get extra data
            // points before the first day
            int extraDays = 30;

            // In this exammple, we use a random number generator utility to simulate the data. We
            // set up the random table to create 6 cols x (noOfDays + extraDays) rows, using 9 as
            // the seed.
            RanTable rantable = new RanTable(9, 6, noOfDays + extraDays);

            // Set the 1st col to be the timeStamp, starting from Sep 4, 2014, with each row
            // representing one day, and counting week days only (jump over Sat and Sun)
            rantable.setDateCol(0, new DateTime(2014, 9, 4), 86400, true);

            // Set the 2nd, 3rd, 4th and 5th columns to be high, low, open and close data. The open
            // value starts from 100, and the daily change is random from -5 to 5.
            rantable.setHLOCCols(1, 100, -5, 5);

            // Set the 6th column as the vol data from 5 to 25 million
            rantable.setCol(5, 50000000, 250000000);

            // Now we read the data from the table into arrays
            double[] timeStamps = rantable.getCol(0);
            double[] highData   = rantable.getCol(1);
            double[] lowData    = rantable.getCol(2);
            double[] openData   = rantable.getCol(3);
            double[] closeData  = rantable.getCol(4);
            double[] volData    = rantable.getCol(5);

            // Custom data series should be of the same length as the OHLC data series
            double[] buySignal  = new double[closeData.Length];
            double[] sellSignal = new double[closeData.Length];

            //
            // The following is just an arbitrary algorithm to create some meaningless buySignal and
            // sellSignal. They are just for demonstrating the charting engine. Please do not use
            // them for actual trading.
            //

            double[] sma5  = new ArrayMath(closeData).movAvg(5).result();
            double[] sma20 = new ArrayMath(closeData).movAvg(20).result();

            for (int i = 0; i < sma5.Length; ++i)
            {
                buySignal[i]  = Chart.NoValue;
                sellSignal[i] = Chart.NoValue;
                if (i > 0)
                {
                    if ((sma5[i - 1] <= sma20[i - 1]) && (sma5[i] > sma20[i]))
                    {
                        buySignal[i] = lowData[i];
                    }
                    if ((sma5[i - 1] >= sma20[i - 1]) && (sma5[i] < sma20[i]))
                    {
                        sellSignal[i] = highData[i];
                    }
                }
            }

            // Create a FinanceChart object of width 640 pixels
            FinanceChart c = new FinanceChart(640);

            // Add a title to the chart
            c.addTitle("Finance Chart with Custom Symbols");

            // Set the data into the finance chart object
            c.setData(timeStamps, highData, lowData, openData, closeData, volData, extraDays);

            // Add the main chart with 240 pixels in height
            XYChart mainChart = c.addMainChart(240);

            // Add buy signal symbols to the main chart, using cyan (0x00ffff) upward pointing
            // arrows as symbols
            ScatterLayer buyLayer = mainChart.addScatterLayer(null, buySignal, "Buy",
                                                              Chart.ArrowShape(0, 1, 0.4, 0.4), 11, 0x00ffff);

            // Shift the symbol lower by 20 pixels
            buyLayer.getDataSet(0).setSymbolOffset(0, 20);

            // Add sell signal symbols to the main chart, using purple (0x9900cc) downward pointing
            // arrows as symbols
            ScatterLayer sellLayer = mainChart.addScatterLayer(null, sellSignal, "Sell",
                                                               Chart.ArrowShape(180, 1, 0.4, 0.4), 11, 0x9900cc);

            // Shift the symbol higher by 20 pixels
            sellLayer.getDataSet(0).setSymbolOffset(0, -20);

            // Add a 5 period simple moving average to the main chart, using brown color
            c.addSimpleMovingAvg(5, 0x663300);

            // Add a 20 period simple moving average to the main chart, using purple color
            c.addSimpleMovingAvg(20, 0x9900ff);

            // Add candlestick symbols to the main chart, using green/red for up/down days
            c.addCandleStick(0x66ff66, 0xff6666);

            // Add a volume indicator chart (75 pixels high) after the main chart, using
            // green/red/grey for up/down/flat days
            c.addVolIndicator(75, 0x99ff99, 0xff9999, 0x808080);

            // Append a 14-days RSI indicator chart (75 pixels high) after the main chart. The main
            // RSI line is purple (800080). Set threshold region to +/- 20 (that is, RSI = 50 +/-
            // 25). The upper/lower threshold regions will be filled with red (ff0000)/blue
            // (0000ff).
            c.addRSI(75, 14, 0x800080, 20, 0xff0000, 0x0000ff);

            // Output the chart
            viewer.Chart = c;
        }
示例#3
0
        //Main code for creating chart.
        //Note: the argument img is unused because this demo only has 1 chart.
        public void createChart(WinChartViewer WebChartViewer1, string img, int stockId, int timeFrameId, DateTime fromDt, DateTime toDt, int ballSize, int chartWidth, int chartHeighth, int priceType)
        {
            var stock = (from s in dataContext.stocks
                         where s.id == stockId
                         select s).FirstOrDefault();

            var timeFrame = (from t in dataContext.timeframes
                             where t.id == timeFrameId
                             select t).FirstOrDefault();

            if (timeFrame == null)
            {
                errMsg(WebChartViewer1, "Тайм фрейм отсутствуют");
                return;
            }

            var stockQuotes = from sq in dataContext.settingquotes
                              where sq.stock == stock.id &&
                              sq.datetime >= fromDt &&
                              sq.datetime <= toDt.AddDays(1) &&
                              sq.timeframe == timeFrameId &&
                              sq.numcontractsclose != 0
                              orderby sq.datetime ascending
                              select sq;

            if (stockQuotes == null || stockQuotes.Count() == 0)
            {
                errMsg(WebChartViewer1, "Данные отсутствуют");
                return;
            }

            // To compute moving averages starting from the first day, we need to get
            // extra data points before the first day
            int extraDays = 0;

            getDailyData(WebChartViewer1, stockId, timeFrameId, fromDt, toDt);


            // Create a FinanceChart object of width 640 pixels
            FinanceChart c = new FinanceChart(chartWidth);

            c.setDateLabelFormat("{value|yyyy}",
                                 "<*font=bold*>{value|mm yy}",
                                 "{value|mm/yy}",
                                 "<*font=bold*>{value|d/mm}",
                                 "{value|d}",
                                 "<*font=bold*>{value|d/mm<*br*>h:nn}",
                                 "{value|h:nn}");
            //c.setNumberLabelFormat("{={value}/1000}");


            // Add a title to the chart using 18 pts Times Bold Itatic font.
            c.addTitle("Num contracts open positions " + stock.ticker + " " + timeFrame.timeframename + " ", "Times New Roman", 12);

            // Set the data into the finance chart object
            c.setData(timeStamps, highData, lowData, openData, closeData, volData,
                      extraDays);

            // Add the main chart with 240 pixels in height
            c.addMainChart(chartHeighth - 100);

            // Add an HLOC symbols to the main chart, using green/red for up/down
            // days
            c.addCandleStick(0x00ff00, 0xff0000);

            c.setAxisOnRight(true);


            // Output the chart
            WebChartViewer1.Image = c.makeImage();
        }
示例#4
0
        //Main code for creating chart.
        //Note: the argument chartIndex is unused because this demo only has 1 chart.
        public void createChart(WinChartViewer viewer, int chartIndex)
        {
            // Create a finance chart demo containing 100 days of data
            int noOfDays = 100;

            // To compute moving averages starting from the first day, we need to get extra data
            // points before the first day
            int extraDays = 30;

            // In this exammple, we use a random number generator utility to simulate the data. We
            // set up the random table to create 6 cols x (noOfDays + extraDays) rows, using 9 as
            // the seed.
            RanTable rantable = new RanTable(9, 6, noOfDays + extraDays);

            // Set the 1st col to be the timeStamp, starting from Sep 4, 2002, with each row
            // representing one day, and counting week days only (jump over Sat and Sun)
            rantable.setDateCol(0, new DateTime(2002, 9, 4), 86400, true);

            // Set the 2nd, 3rd, 4th and 5th columns to be high, low, open and close data. The open
            // value starts from 100, and the daily change is random from -5 to 5.
            rantable.setHLOCCols(1, 100, -5, 5);

            // Set the 6th column as the vol data from 5 to 25 million
            rantable.setCol(5, 50000000, 250000000);

            // Now we read the data from the table into arrays
            double[] timeStamps = rantable.getCol(0);
            double[] highData   = rantable.getCol(1);
            double[] lowData    = rantable.getCol(2);
            double[] openData   = rantable.getCol(3);
            double[] closeData  = rantable.getCol(4);
            double[] volData    = rantable.getCol(5);

            // Create a FinanceChart object of width 640 pixels
            FinanceChart c = new FinanceChart(640);

            // Add a title to the chart
            c.addTitle("Finance Chart Demonstration");

            // Set the data into the finance chart object
            c.setData(timeStamps, highData, lowData, openData, closeData, volData, extraDays);

            // Add the main chart with 240 pixels in height
            c.addMainChart(240);

            // Add a 5 period simple moving average to the main chart, using brown color
            c.addSimpleMovingAvg(5, 0x663300);

            // Add a 20 period simple moving average to the main chart, using purple color
            c.addSimpleMovingAvg(20, 0x9900ff);

            // Add HLOC symbols to the main chart, using green/red for up/down days
            c.addHLOC(0x008000, 0xcc0000);

            // Add 20 days bollinger band to the main chart, using light blue (9999ff) as the border
            // and semi-transparent blue (c06666ff) as the fill color
            c.addBollingerBand(20, 2, 0x9999ff, unchecked ((int)0xc06666ff));

            // Add a 75 pixels volume bars sub-chart to the bottom of the main chart, using
            // green/red/grey for up/down/flat days
            c.addVolBars(75, 0x99ff99, 0xff9999, 0x808080);

            // Append a 14-days RSI indicator chart (75 pixels high) after the main chart. The main
            // RSI line is purple (800080). Set threshold region to +/- 20 (that is, RSI = 50 +/-
            // 25). The upper/lower threshold regions will be filled with red (ff0000)/blue
            // (0000ff).
            c.addRSI(75, 14, 0x800080, 20, 0xff0000, 0x0000ff);

            // Append a 12-days momentum indicator chart (75 pixels high) using blue (0000ff) color.
            c.addMomentum(75, 12, 0x0000ff);

            // Output the chart
            viewer.Chart = c;
        }
        private void FrmTrackFinance_Load(object sender, EventArgs e)
        {
            // Create a finance chart demo containing 100 days of data
            int noOfDays = 100;

            // To compute moving averages starting from the first day, we need to get extra data points before
            // the first day
            int extraDays = 30;

            // In this exammple, we use a random number generator utility to simulate the data. We set up the
            // random table to create 6 cols x (noOfDays + extraDays) rows, using 9 as the seed.
            RanTable rantable = new RanTable(9, 6, noOfDays + extraDays);

            // Set the 1st col to be the timeStamp, starting from Sep 4, 2011, with each row representing one
            // day, and counting week days only (jump over Sat and Sun)
            rantable.setDateCol(0, new DateTime(2011, 9, 4), 86400, true);

            // Set the 2nd, 3rd, 4th and 5th columns to be high, low, open and close data. The open value
            // starts from 100, and the daily change is random from -5 to 5.
            rantable.setHLOCCols(1, 100, -5, 5);

            // Set the 6th column as the vol data from 5 to 25 million
            rantable.setCol(5, 50000000, 250000000);

            // Now we read the data from the table into arrays
            double[] timeStamps = rantable.getCol(0);
            double[] highData   = rantable.getCol(1);
            double[] lowData    = rantable.getCol(2);
            double[] openData   = rantable.getCol(3);
            double[] closeData  = rantable.getCol(4);
            double[] volData    = rantable.getCol(5);

            // Create a FinanceChart object of width 720 pixels
            FinanceChart c = new FinanceChart(720);

            // Add a title to the chart
            c.addTitle("Finance Chart Demonstration");

            // Disable default legend box, as we are using dynamic legend
            c.setLegendStyle("normal", 8, Chart.Transparent, Chart.Transparent);

            // Set the data into the finance chart object
            c.setData(timeStamps, highData, lowData, openData, closeData, volData, extraDays);

            // Add the main chart with 240 pixels in height
            c.addMainChart(240);

            // Add a 10 period simple moving average to the main chart, using brown color
            c.addSimpleMovingAvg(10, 0x663300);

            // Add a 20 period simple moving average to the main chart, using purple color
            c.addSimpleMovingAvg(20, 0x9900ff);

            // Add candlestick symbols to the main chart, using green/red for up/down days
            c.addCandleStick(0x00ff00, 0xff0000);

            // Add 20 days bollinger band to the main chart, using light blue (9999ff) as the border and
            // semi-transparent blue (c06666ff) as the fill color
            c.addBollingerBand(20, 2, 0x9999ff, unchecked ((int)0xc06666ff));

            // Add a 75 pixels volume bars sub-chart to the bottom of the main chart, using green/red/grey for
            // up/down/flat days
            c.addVolBars(75, 0x99ff99, 0xff9999, 0x808080);

            // Append a 14-days RSI indicator chart (75 pixels high) after the main chart. The main RSI line
            // is purple (800080). Set threshold region to +/- 20 (that is, RSI = 50 +/- 25). The upper/lower
            // threshold regions will be filled with red (ff0000)/blue (0000ff).
            c.addRSI(75, 14, 0x800080, 20, 0xff0000, 0x0000ff);

            // Append a MACD(26, 12) indicator chart (75 pixels high) after the main chart, using 9 days for
            // computing divergence.
            c.addMACD(75, 26, 12, 9, 0x0000ff, 0xff00ff, 0x008000);

            // Include track line with legend for the latest data values
            trackFinance(c, ((XYChart)c.getChart(0)).getPlotArea().getRightX());

            // Assign the chart to the WinChartViewer
            winChartViewer1.Chart = c;
        }