boll.java

一份java写的期货交易程序

// Decompiled by Jad v1.5.7g. Copyright 2000 Pavel Kouznetsov.
// Jad home page: http://www.geocities.com/SiliconValley/Bridge/8617/jad.html
// Decompiler options: packimports(3) fieldsfirst ansi 
// Source File Name:   BOLL.java

package gnnt.MEBS.HQApplet.Indicator;

import gnnt.MEBS.HQApplet.*;
import java.awt.Graphics;
import java.awt.Rectangle;

// Referenced classes of package gnnt.MEBS.HQApplet.Indicator:
//            KLine, IndicatorBase, IndicatorPos

public class BOLL extends KLine
{

    private final int m_iParam[] = {
        10
    };

    public BOLL(IndicatorPos pos, int iPrecision)
    {
        super(pos, 1, iPrecision);
        m_strIndicatorName = "BOLL";
        m_strIndicatorName += "(";
        for(int i = 0; i < m_iParam.length; i++)
        {
            if(i > 0)
                m_strIndicatorName += ",";
            m_strIndicatorName += m_iParam[i];
        }

        m_strIndicatorName += ")";
        m_strParamName = (new String[] {
            "MID", "UPPER", "LOWER"
        });
        m_iPrecision = 2;
    }

    public void Paint(Graphics g, Rectangle rc, KLineData data[])
    {
        m_kData = data;
        Calculate();
        super.Paint(g, rc, data);
        for(int i = 0; i < 3; i++)
            DrawLine(g, m_data[i], m_iParam[0] * 2 - 2, HQApplet.rhColor.clIndicator[i]);

    }

    protected void GetMaxMin()
    {
        super.GetMaxMin();
        for(int i = 0; i < 3; i++)
            GetValueMaxMin(m_data[i], m_iParam[0] * 2 - 2);

    }

    public void Calculate()
    {
        m_data = new float[3][];
        if(m_kData == null || m_kData.length <= 0)
            return;
        int n = m_iParam[0];
        if(n > m_kData.length || n < 1 || (n + n) - 2 >= m_kData.length)
            return;
        for(int i = 0; i < 3; i++)
            m_data[i] = new float[m_kData.length];

        float average[] = m_data[0];
        float up[] = m_data[1];
        float down[] = m_data[2];
        float sum = 0.0F;
        AverageClose(n, average);
        for(int i = n - 1; i < (n + n) - 2; i++)
        {
            float value = m_kData[i].closePrice - average[i];
            sum += value * value;
        }

        float prevalue = 0.0F;
        for(int i = (n + n) - 2; i < m_kData.length; i++)
        {
            sum -= prevalue;
            float value = m_kData[i].closePrice - average[i];
            sum += value * value;
            value = (float)Math.sqrt(sum / (float)n) * 1.805F;
            up[i] = average[i] + value;
            down[i] = average[i] - value;
            value = m_kData[(i - n) + 1].closePrice - average[(i - n) + 1];
            prevalue = value * value;
        }

    }
}