[MT4指标]Linear Regression Line慢速指标
主图指标
Linear Regression Line慢速指标
mt4指标类型:趋势指标
是否能用在mt4手机版上:否
mt4指标类型:震荡指标
是否能用在mt4手机版上:否
是否含有未来函数:无
可以用在韬客外汇返佣网的平台上
//+------------------------------------------------------------------+
//| Linear Regression Line.mq4 |
//+------------------------------------------------------------------+
#property copyright "MetaTrader 4"
#property link "http://metatrader.com"
//---- indicator settings
#property indicator_chart_window
#property indicator_buffers 1
#property indicator_color1 Blue
#property indicator_width1 2
//---- input parameters
extern int LRLPeriod=21;
//---- buffers
double LRLBuffer;
int shift=0;
int n=0;
double sumx=0, sumy=0, sumxy=0, sumx2=0, sumy2=0;
double m=0, yint=0, r=0;
//+------------------------------------------------------------------+
//| Custom indicator initialization function |
//+------------------------------------------------------------------+
int init()
{
//---- indicators
SetIndexStyle(0,DRAW_LINE);
SetIndexBuffer(0,LRLBuffer);
IndicatorDigits(Digits);
if(LRLPeriod < 2) LRLPeriod = 2;
IndicatorShortName("Linear Regression Line ("+LRLPeriod+")");
SetIndexDrawBegin(0,LRLPeriod+2);
IndicatorDigits(MarketInfo(Symbol(),MODE_DIGITS)+4);
//----
return(0);
}
//+------------------------------------------------------------------+
//| Custom indicator deinitialization function |
//+------------------------------------------------------------------+
int deinit()
{
return(0);
}
//+------------------------------------------------------------------+
//| Linear Regression Line |
//+------------------------------------------------------------------+
int start()
{
int limit;
int counted_bars=IndicatorCounted();
if(counted_bars<0) counted_bars=0;
if(counted_bars>0) counted_bars--;
limit=Bars-counted_bars;
for(int shift=limit-1; shift>=0; shift--)
{
sumx = 0;
sumy = 0;
sumxy = 0;
sumx2 = 0;
sumy2 = 0;
for(n = 0; n <= LRLPeriod-1; n++)
{
sumx = sumx + n;
sumy = sumy + Close[shift + n];
sumxy = sumxy + n * Close[shift + n];
sumx2 = sumx2 + n * n;
sumy2 = sumy2 + Close[shift + n] * Close[shift + n];
}
m=(LRLPeriod*sumxy-sumx*sumy)/(LRLPeriod*sumx2-sumx*sumx);
yint=(sumy+m*sumx)/LRLPeriod;
r=(LRLPeriod*sumxy-sumx*sumy)/MathSqrt((LRLPeriod*sumx2-sumx*sumx)*(LRLPeriod*sumy2-sumy*sumy));
LRLBuffer[shift]=yint-m*LRLPeriod;
}
return(0);
}
//+------------------------------------------------------------------+
Linear%20Regression%20Line.jpg
