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import org.jfree.chart.*;
import org.jfree.chart.axis.*;
import org.jfree.chart.plot.XYPlot;
import org.jfree.chart.renderer.xy.CandlestickRenderer;
import org.jfree.data.xy.*;

import javax.swing.*;
import java.awt.*;
import java.io.*;
import java.net.URL;
import java.text.*;
import java.util.*;
import java.util.List;

public class CandlestickDemo extends JFrame {
    public CandlestickDemo(String stockSymbol) {
        super("CandlestickDemo");
        this.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);

        DateAxis    domainAxis       = new DateAxis("Date");
        NumberAxis  rangeAxis        = new NumberAxis("Price");
        CandlestickRenderer renderer = new CandlestickRenderer();
        XYDataset   dataset          = getDataSet(stockSymbol);

        XYPlot mainPlot = new XYPlot(dataset, domainAxis, rangeAxis, renderer);

        //Do some setting up, see the API Doc
        renderer.setSeriesPaint(0, Color.BLACK);
        renderer.setDrawVolume(false);
        rangeAxis.setAutoRangeIncludesZero(false);
        domainAxis.setTimeline( SegmentedTimeline.newMondayThroughFridayTimeline() );

        //Now create the chart and chart panel
        JFreeChart chart = new JFreeChart(stockSymbol, null, mainPlot, false);
        ChartPanel chartPanel = new ChartPanel(chart);
        chartPanel.setPreferredSize(new Dimension(600, 300));

        this.add(chartPanel);
        this.pack();
    }
    protected AbstractXYDataset getDataSet(String stockSymbol) {
        //This is the dataset we are going to create
        DefaultOHLCDataset result = null;
        //This is the data needed for the dataset
        OHLCDataItem[] data;

        //This is where we go get the data, replace with your own data source
        data = getData(stockSymbol);

        //Create a dataset, an Open, High, Low, Close dataset
        result = new DefaultOHLCDataset(stockSymbol, data);

        return result;
    }
    //This method uses yahoo finance to get the OHLC data
    protected OHLCDataItem[] getData(String stockSymbol) {
        List<OHLCDataItem> dataItems = new ArrayList<OHLCDataItem>();
        try {
            String strUrl= "http://ichart.finance.yahoo.com/table.csv?s="+stockSymbol+"&a=0&b=1&c=2008&d=3&e=30&f=2008&ignore=.csv";
            URL url = new URL(strUrl);
            BufferedReader in = new BufferedReader(new InputStreamReader(url.openStream()));
            DateFormat df = new SimpleDateFormat("y-M-d");

            String inputLine;
            in.readLine();
            while ((inputLine = in.readLine()) != null) {
                StringTokenizer st = new StringTokenizer(inputLine, ",");

                Date date       = df.parse( st.nextToken() );
                double open     = Double.parseDouble( st.nextToken() );
                double high     = Double.parseDouble( st.nextToken() );
                double low      = Double.parseDouble( st.nextToken() );
                double close    = Double.parseDouble( st.nextToken() );
                double volume   = Double.parseDouble( st.nextToken() );
                double adjClose = Double.parseDouble( st.nextToken() );

                OHLCDataItem item = new OHLCDataItem(date, open, high, low, close, volume);
                dataItems.add(item);
            }
            in.close();
        }
        catch (Exception e) {
            e.printStackTrace();
        }
        //Data from Yahoo is from newest to oldest. Reverse so it is oldest to newest
        Collections.reverse(dataItems);

        //Convert the list into an array
        OHLCDataItem[] data = dataItems.toArray(new OHLCDataItem[dataItems.size()]);

        return data;
    }

    public static void main(String[] args) {
        new CandlestickDemo("MSFT").setVisible(true);
    }
}

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        XYPlot mainPlot = new XYPlot(dataset, domainAxis, rangeAxis, renderer);

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        XYPlot mainPlot = new XYPlot(dataset, domainAxis, rangeAxis, renderer);

        final long ONE_DAY = 24 * 60 * 60 * 1000;
        XYLineAndShapeRenderer maRenderer = new XYLineAndShapeRenderer(true, false);
        XYDataset              maSataset  = MovingAverage.createMovingAverage(dataset, "MA", 30 * ONE_DAY, 0);
        mainPlot.setRenderer(1, maRenderer);
        mainPlot.setDataset (1, maSataset);