bias.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:   BIAS.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:
//            IndicatorBase, IndicatorPos

public class BIAS extends IndicatorBase
{

    private final int m_iParam[] = {
        6, 12
    };

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

        m_iPrecision = 2;
    }

    public void Paint(Graphics g, Rectangle rc, KLineData data[])
    {
        super.Paint(g, rc, data);
        Calculate();
        m_max = -10000F;
        m_min = 10000F;
        for(int i = 0; i < m_iParam.length; i++)
            GetValueMaxMin(m_data[i], m_iParam[i] - 1);

        DrawCoordinate(g, 2);
        for(int i = 0; i < m_iParam.length; i++)
            DrawLine(g, m_data[i], m_iParam[i] - 1, HQApplet.rhColor.clIndicator[i]);

    }

    public void Calculate()
    {
        m_data = new float[m_iParam.length][];
        if(m_kData == null || m_kData.length <= 0)
            return;
        for(int i = 0; i < 2; i++)
            if(m_iParam[i] <= m_kData.length && m_iParam[i] > 0)
            {
                m_data[i] = new float[m_kData.length];
                GetBIAS(m_iParam[i], m_data[i]);
            }

    }

    private void GetBIAS(int n, float bias[])
    {
        if(bias == null)
            return;
        AverageClose(n, bias);
        bias[n - 2] = 0.0F;
        for(int i = n - 1; i < m_kData.length; i++)
            if(bias[i] != 0.0F)
                bias[i] = ((m_kData[i].closePrice - bias[i]) / bias[i]) * 100F;
            else
                bias[i] = bias[i - 1];

    }
}