Esempio n. 1
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  public void draw(double[] v) {
    TimeSeries data = new TimeSeries("symbol", FixedMillisecond.class);
    dataset1.addSeries(data);

    for (int i = 0; i < v.length; i++) {
      try {
        data.add(new FixedMillisecond(i), v[i]);
      } catch (Exception e) {
        System.out.println("Unresolved error");
        // e.printStackTrace();
      }
    }
  }
Esempio n. 2
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  public Chart(String filename) {
    try {
      // Get Stock Symbol
      this.stockSymbol = filename.substring(0, filename.indexOf('.'));

      // Create time series
      TimeSeries open = new TimeSeries("Open Price", Day.class);
      TimeSeries close = new TimeSeries("Close Price", Day.class);
      TimeSeries high = new TimeSeries("High", Day.class);
      TimeSeries low = new TimeSeries("Low", Day.class);
      TimeSeries volume = new TimeSeries("Volume", Day.class);

      BufferedReader br = new BufferedReader(new FileReader(filename));
      String key = br.readLine();
      String line = br.readLine();
      while (line != null && !line.startsWith("<!--")) {
        StringTokenizer st = new StringTokenizer(line, ",", false);
        Day day = getDay(st.nextToken());
        double openValue = Double.parseDouble(st.nextToken());
        double highValue = Double.parseDouble(st.nextToken());
        double lowValue = Double.parseDouble(st.nextToken());
        double closeValue = Double.parseDouble(st.nextToken());
        long volumeValue = Long.parseLong(st.nextToken());

        // Add this value to our series'
        open.add(day, openValue);
        close.add(day, closeValue);
        high.add(day, highValue);
        low.add(day, lowValue);

        // Read the next day
        line = br.readLine();
      }

      // Build the datasets
      dataset.addSeries(open);
      dataset.addSeries(close);
      dataset.addSeries(low);
      dataset.addSeries(high);
      datasetOpenClose.addSeries(open);
      datasetOpenClose.addSeries(close);
      datasetHighLow.addSeries(high);
      datasetHighLow.addSeries(low);

      JFreeChart summaryChart = buildChart(dataset, "Summary", true);
      JFreeChart openCloseChart = buildChart(datasetOpenClose, "Open/Close Data", false);
      JFreeChart highLowChart = buildChart(datasetHighLow, "High/Low Data", true);
      JFreeChart highLowDifChart =
          buildDifferenceChart(datasetHighLow, "High/Low Difference Chart");

      // Create this panel
      this.setLayout(new GridLayout(2, 2));
      this.add(new ChartPanel(summaryChart));
      this.add(new ChartPanel(openCloseChart));
      this.add(new ChartPanel(highLowChart));
      this.add(new ChartPanel(highLowDifChart));
    } catch (Exception e) {
      e.printStackTrace();
    }
  }
Esempio n. 3
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  public void calcAverage1(int d, Date timestamp) {
    try {
      double v = 0;

      // List l1=x1.getItems();

      for (int i = d; i < d + av1; i++) {
        v += x1.getValue(x1.getItemCount() - (av1 - i)).doubleValue();
      }
      average1.add(new FixedMillisecond(timestamp), v / av1);

    } catch (Exception e) {
      // e.printStackTrace();
      // System.out.println(timestamp.toString());
    }
  }
Esempio n. 4
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  /**
   * actually recalculates the first average (necessary when we change the average settings)
   *
   * @param d
   */
  public void recalculateAverage1() {

    // average1=new TimeSeries("av1", FixedMillisecond.class);
    average1.delete(0, average1.getItemCount() - 1);

    for (int z = 0; z < x1.getItemCount(); z++) {
      try {
        double v = 0;

        // List l1=x1.getItems();

        for (int i = z; i < z + av1; i++) {
          v += x1.getValue(x1.getItemCount() - (av1 - i)).doubleValue();
        }
        average1.add(x1.getTimePeriod(z), v / av1);

      } catch (Exception e) {
        // e.printStackTrace();
        // System.out.println(timestamp.toString());
      }
    }
  }
Esempio n. 5
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 private static XYDataset createDataset() {
   TimeSeries timeseries = new TimeSeries("L&G European Index Trust");
   timeseries.add(new Day(24, 1, 2004), 181.80000000000001D);
   timeseries.add(new Day(25, 1, 2004), 167.30000000000001D);
   timeseries.add(new Day(26, 1, 2004), 153.80000000000001D);
   timeseries.add(new Day(27, 1, 2004), 167.59999999999999D);
   timeseries.add(new Day(28, 1, 2004), 158.80000000000001D);
   timeseries.add(new Day(29, 1, 2004), 148.30000000000001D);
   timeseries.add(new Day(30, 1, 2004), 153.90000000000001D);
   timeseries.add(new Day(31, 1, 2004), 142.69999999999999D);
   timeseries.add(new Day(1, 2, 2004), 123.2D);
   timeseries.add(new Day(2, 2, 2004), 131.80000000000001D);
   timeseries.add(new Day(3, 2, 2004), 139.59999999999999D);
   timeseries.add(new Day(4, 2, 2004), 142.90000000000001D);
   timeseries.add(new Day(5, 2, 2004), 138.69999999999999D);
   timeseries.add(new Day(6, 2, 2004), 137.30000000000001D);
   timeseries.add(new Day(7, 2, 2004), 143.90000000000001D);
   timeseries.add(new Day(8, 2, 2004), 139.80000000000001D);
   timeseries.add(new Day(9, 2, 2004), 137D);
   timeseries.add(new Day(10, 2, 2004), 132.80000000000001D);
   TimeZone timezone = TimeZone.getTimeZone("Pacific/Auckland");
   TimeSeriesCollection timeseriescollection = new TimeSeriesCollection(timezone);
   timeseriescollection.addSeries(timeseries);
   timeseriescollection.setXPosition(TimePeriodAnchor.MIDDLE);
   return timeseriescollection;
 }
Esempio n. 6
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 /** Call this method every 10 sec and supply a new data point. */
 public void update(float f) {
   counter = (counter + 1) % 360; // 1hour/10sec = 60mins/10sec=3600secs/10sec = 360
   sec10.update(f);
   if (counter % 6 == 0) min.update(f);
   if (counter == 0) hour.update(f);
 }