StepMA_Stoch_v1_v1
Download script
The StepMA Stochastics indicator is a sophisticated technical analysis tool designed to track market trends by combining price volatility measurements with a specialized "step" logic. Instead of providing a smooth, curving line like traditional moving averages, this tool identifies specific boundaries to determine the direction and strength of market movements.
How the Logic Works
1. Volatility Measurement (WATR) The foundation of the indicator is a custom calculation that looks at a specific window of recent price history (the "Water" or WATR period). It measures the difference between the highest and lowest prices within that time frame. This gives the script an understanding of how much the market is currently swinging, allowing it to adapt its sensitivity to different market conditions—becoming wider during volatile periods and tighter during stable ones.
2. Dynamic Range Detection Based on the volatility measured above, the tool calculates three distinct "step" sizes: Minimum, Maximum, and Mid-range. These steps act as thresholds. The script uses these to create price zones around the current market value. By calculating these dynamically, the indicator ensures that its signals remain relevant regardless of whether the market is in a high-action state or a low-activity state.
3. Trend Identification (The "Step" Logic) The core logic focuses on identifying the prevailing trend by comparing current closing prices against these dynamic thresholds. It evaluates three different scenarios simultaneously:
- Minimum: The tightest boundary for quick trend detection.
- Maximum: The widest boundary for capturing broader, more significant trends.
- Mid-range: A balanced middle ground between the two.
The script "locks" onto a trend direction (positive or negative). When the price moves past a threshold in one direction, it establishes a trend line. If the price fails to break significantly against that trend, the indicator maintains its current step level, creating the characteristic "staircase" or "step" appearance on the chart.
4. Stochastic Conversion Finally, the raw price data and trend levels are converted into a normalized stochastic format. This translates the complex price movements into a simplified scale (typically between 0 and 1). By plotting two different lines—one representing the Minimum trend and one representing the Mid-range trend—the tool allows traders to visualize:
- Trend Confirmation: When both lines move in the same direction.
- Momentum Shifts: How far the current price has traveled relative to its recent volatility boundaries.
In essence, this script filters out minor market "noise" by requiring price action to cross specific volatility-based thresholds before confirming a trend, providing a cleaner visual representation of market momentum than standard indicators.
/*-----------------------------+
| |
| Shared by www.Aptrafx.com |
| |
+------------------------------*/
//+------------------------------------------------------------------+
//| StepMA_Stoch_v1.mq4 |
//| Copyright © 2005, TrendLaboratory Ltd. |
//| E-mail: igorad2004@list.ru |
//+------------------------------------------------------------------+
#property copyright "Copyright © 2005, TrendLaboratory Ltd."
#property link "E-mail: igorad2004@list.ru"
#property indicator_separate_window
#property indicator_buffers 2
#property indicator_color1 Yellow
#property indicator_color2 DeepSkyBlue
#property indicator_minimum 0
#property indicator_maximum 1
//---- input parameters
extern int PeriodWATR=10;
extern double Kwatr=1.0000;
extern int HighLow=0;
//---- indicator buffers
double LineMinBuffer[];
double LineMidBuffer[];
//+------------------------------------------------------------------+
//| Custom indicator initialization function |
//+------------------------------------------------------------------+
int init()
{
string short_name;
//---- indicator line
SetIndexStyle(0,DRAW_LINE,STYLE_SOLID,1);
SetIndexStyle(1,DRAW_LINE,STYLE_SOLID,1);
SetIndexBuffer(0,LineMinBuffer);
SetIndexBuffer(1,LineMidBuffer);
IndicatorDigits(MarketInfo(Symbol(),MODE_DIGITS));
//---- name for DataWindow and indicator subwindow label
short_name="StepMA Stoch("+PeriodWATR+","+Kwatr+","+HighLow+")";
IndicatorShortName(short_name);
SetIndexLabel(0,"StepMA Stoch 1");
SetIndexLabel(1,"StepMA Stoch 2");
//----
SetIndexDrawBegin(0,PeriodWATR);
SetIndexDrawBegin(1,PeriodWATR);
//----
return(0);
}
//+------------------------------------------------------------------+
//| StepMA_3D_v1 |
//+------------------------------------------------------------------+
int start()
{
int i,shift,TrendMin,TrendMax,TrendMid;
double SminMin0,SmaxMin0,SminMin1,SmaxMin1,SumRange,dK,WATR0,WATRmax,WATRmin,WATRmid;
double SminMax0,SmaxMax0,SminMax1,SmaxMax1,SminMid0,SmaxMid0,SminMid1,SmaxMid1;
double linemin,linemax,linemid,Stoch1,Stoch2,bsmin,bsmax;
for(shift=Bars-1;shift>=0;shift--)
{
SumRange=0;
for (i=PeriodWATR-1;i>=0;i--)
{
dK = 1+1.0*(PeriodWATR-i)/PeriodWATR;
SumRange+= dK*MathAbs(High[i+shift]-Low[i+shift]);
}
WATR0 = SumRange/PeriodWATR;
WATRmax=MathMax(WATR0,WATRmax);
if (shift==Bars-1-PeriodWATR) WATRmin=WATR0;
WATRmin=MathMin(WATR0,WATRmin);
int StepSizeMin=MathRound(Kwatr*WATRmin/Point);
int StepSizeMax=MathRound(Kwatr*WATRmax/Point);
int StepSizeMid=MathRound(Kwatr*0.5*(WATRmax+WATRmin)/Point);
if (HighLow>0)
{
SmaxMin0=Low[shift]+2*StepSizeMin*Point;
SminMin0=High[shift]-2*StepSizeMin*Point;
SmaxMax0=Low[shift]+2*StepSizeMax*Point;
SminMax0=High[shift]-2*StepSizeMax*Point;
SmaxMid0=Low[shift]+2*StepSizeMid*Point;
SminMid0=High[shift]-2*StepSizeMid*Point;
if(Close[shift]>SmaxMin1) TrendMin=1;
if(Close[shift]<SminMin1) TrendMin=-1;
if(Close[shift]>SmaxMax1) TrendMax=1;
if(Close[shift]<SminMax1) TrendMax=-1;
if(Close[shift]>SmaxMid1) TrendMid=1;
if(Close[shift]<SminMid1) TrendMid=-1;
}
if (HighLow == 0)
{
SmaxMin0=Close[shift]+2*StepSizeMin*Point;
SminMin0=Close[shift]-2*StepSizeMin*Point;
SmaxMax0=Close[shift]+2*StepSizeMax*Point;
SminMax0=Close[shift]-2*StepSizeMax*Point;
SmaxMid0=Close[shift]+2*StepSizeMid*Point;
SminMid0=Close[shift]-2*StepSizeMid*Point;
if(Close[shift]>SmaxMin1) TrendMin=1;
if(Close[shift]<SminMin1) TrendMin=-1;
if(Close[shift]>SmaxMax1) TrendMax=1;
if(Close[shift]<SminMax1) TrendMax=-1;
if(Close[shift]>SmaxMid1) TrendMid=1;
if(Close[shift]<SminMid1) TrendMid=-1;
}
if(TrendMin>0 && SminMin0<SminMin1) SminMin0=SminMin1;
if(TrendMin<0 && SmaxMin0>SmaxMin1) SmaxMin0=SmaxMin1;
if(TrendMax>0 && SminMax0<SminMax1) SminMax0=SminMax1;
if(TrendMax<0 && SmaxMax0>SmaxMax1) SmaxMax0=SmaxMax1;
if(TrendMid>0 && SminMid0<SminMid1) SminMid0=SminMid1;
if(TrendMid<0 && SmaxMid0>SmaxMid1) SmaxMid0=SmaxMid1;
if (TrendMin>0) linemin=SminMin0+StepSizeMin*Point;
if (TrendMin<0) linemin=SmaxMin0-StepSizeMin*Point;
if (TrendMax>0) linemax=SminMax0+StepSizeMax*Point;
if (TrendMax<0) linemax=SmaxMax0-StepSizeMax*Point;
if (TrendMid>0) linemid=SminMid0+StepSizeMid*Point;
if (TrendMid<0) linemid=SmaxMid0-StepSizeMid*Point;
bsmin=linemax-StepSizeMax*Point;
bsmax=linemax+StepSizeMax*Point;
Stoch1=(linemin-bsmin)/(bsmax-bsmin);
Stoch2=(linemid-bsmin)/(bsmax-bsmin);
LineMinBuffer[shift]=Stoch1;
LineMidBuffer[shift]=Stoch2;
SminMin1=SminMin0;
SmaxMin1=SmaxMin0;
SminMax1=SminMax0;
SmaxMax1=SmaxMax0;
SminMid1=SminMid0;
SmaxMid1=SmaxMid0;
}
return(0);
}
Comments