SATLs
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This script functions as a specialized technical analysis tool designed to identify specific shifts in market momentum. It simplifies complex price action into visual "Buy" and "Sell" signals by calculating the relationship between current prices and historical data.
Core Logic and Mechanism
1. Data Weighted Analysis The script performs a sophisticated mathematical calculation that looks at a specific window of 65 historical price points (the closing prices). Rather than treating every price point as equal, it applies a unique "weight" to each one—some prices are multiplied by positive values, while others are multiplied by negative values. This creates a balanced weighted average that reflects the underlying strength of the current trend relative to the past.
2. Trend Comparison The tool performs this calculation twice in rapid succession: once for the most recent data and once for the preceding data point. By subtracting the second result from the first, the script determines the "velocity" or direction of the price movement.
- If the resulting value is positive, it indicates an upward bias.
- If the resulting value is negative, it indicates a downward bias.
3. Signal Identification (The "Flip") The primary goal of this script is to identify the exact moment the trend changes—often referred to as a "trend flip." It constantly monitors whether the current direction matches the previous direction:
- Bullish Signal: When the calculation moves from a negative state to a positive state, the script identifies a potential upward shift.
- Bearish Signal: When the calculation moves from a positive state to a negative state, the script identifies a potential downward shift.
4. Visual Output Instead of drawing continuous lines that might clutter the chart, this script is designed to be minimalist. It only places visual markers (arrows) on the chart at the precise moment a trend flip is detected:
- An upward arrow appears slightly below the "Low" price of a candle when a bullish shift occurs.
- A downward arrow appears slightly above the "High" price of a candle when a bearish shift occurs.
Summary for the User
Essentially, this script acts as a trend-change detector. It ignores minor price fluctuations and focuses on significant shifts in momentum. When you see an arrow appear on your chart, it signifies that the weighted mathematical model has detected a transition from one market direction to another, providing a clear visual cue for potential entry or exit points.
//+------------------------------------------------------------------+
//| SATLs.mq4
//| Ramdass - Conversion only
//+------------------------------------------------------------------+
#property copyright "Copyright 2002, Finware.ru Ltd."
#property link "http://www.finware.ru/"
#property indicator_chart_window
#property indicator_buffers 2
#property indicator_color1 DeepSkyBlue
#property indicator_color2 Red
extern int CountBars=300;
//---- buffers
double UPBuffer[];
double DownBuffer[];
//+------------------------------------------------------------------+
//| Custom indicator initialization function |
//+------------------------------------------------------------------+
int init()
{
//---- indicator line
IndicatorBuffers(2);
SetIndexStyle(0,DRAW_ARROW);
SetIndexArrow(0,241);
SetIndexBuffer(0,UPBuffer);
SetIndexStyle(1,DRAW_ARROW);
SetIndexArrow(1,242);
SetIndexBuffer(1,DownBuffer);
//----
return(0);
}
//+------------------------------------------------------------------+
//| SATLs |
//+------------------------------------------------------------------+
int start()
{
SetIndexDrawBegin(0,Bars-CountBars+38);
SetIndexDrawBegin(1,Bars-CountBars+38);
int i,counted_bars=IndicatorCounted();
double val1, val2, i1;
bool trend,old;
//----
if(Bars<=38) return(0);
//---- initial zero
if(counted_bars<38)
{
for(i=1;i<=0;i++) UPBuffer[CountBars-i]=0.0;
for(i=1;i<=0;i++) DownBuffer[CountBars-i]=0.0;
}
//----
i=CountBars-38-1;
// if(counted_bars>=38) i=Bars-counted_bars-1;
while(i>=0)
{
val1=
0.0982862174*Close[i+0]
+0.0975682269*Close[i+1]
+0.0961401078*Close[i+2]
+0.0940230544*Close[i+3]
+0.0912437090*Close[i+4]
+0.0878391006*Close[i+5]
+0.0838544303*Close[i+6]
+0.0793406350*Close[i+7]
+0.0743569346*Close[i+8]
+0.0689666682*Close[i+9]
+0.0632381578*Close[i+10]
+0.0572428925*Close[i+11]
+0.0510534242*Close[i+12]
+0.0447468229*Close[i+13]
+0.0383959950*Close[i+14]
+0.0320735368*Close[i+15]
+0.0258537721*Close[i+16]
+0.0198005183*Close[i+17]
+0.0139807863*Close[i+18]
+0.0084512448*Close[i+19]
+0.0032639979*Close[i+20]
-0.0015350359*Close[i+21]
-0.0059060082*Close[i+22]
-0.0098190256*Close[i+23]
-0.0132507215*Close[i+24]
-0.0161875265*Close[i+25]
-0.0186164872*Close[i+26]
-0.0205446727*Close[i+27]
-0.0219739146*Close[i+28]
-0.0229204861*Close[i+29]
-0.0234080863*Close[i+30]
-0.0234566315*Close[i+31]
-0.0231017777*Close[i+32]
-0.0223796900*Close[i+33]
-0.0213300463*Close[i+34]
-0.0199924534*Close[i+35]
-0.0184126992*Close[i+36]
-0.0166377699*Close[i+37]
-0.0147139428*Close[i+38]
-0.0126796776*Close[i+39]
-0.0105938331*Close[i+40]
-0.0084736770*Close[i+41]
-0.0063841850*Close[i+42]
-0.0043466731*Close[i+43]
-0.0023956944*Close[i+44]
-0.0005535180*Close[i+45]
+0.0011421469*Close[i+46]
+0.0026845693*Close[i+47]
+0.0040471369*Close[i+48]
+0.0052380201*Close[i+49]
+0.0062194591*Close[i+50]
+0.0070340085*Close[i+51]
+0.0076266453*Close[i+52]
+0.0080376628*Close[i+53]
+0.0083037666*Close[i+54]
+0.0083694798*Close[i+55]
+0.0082901022*Close[i+56]
+0.0080741359*Close[i+57]
+0.0077543820*Close[i+58]
+0.0073260526*Close[i+59]
+0.0068163569*Close[i+60]
+0.0062325477*Close[i+61]
+0.0056078229*Close[i+62]
+0.0049516078*Close[i+63]
+0.0161380976*Close[i+64];
val2=
0.0982862174*Close[i+0+1]
+0.0975682269*Close[i+1+1]
+0.0961401078*Close[i+2+1]
+0.0940230544*Close[i+3+1]
+0.0912437090*Close[i+4+1]
+0.0878391006*Close[i+5+1]
+0.0838544303*Close[i+6+1]
+0.0793406350*Close[i+7+1]
+0.0743569346*Close[i+8+1]
+0.0689666682*Close[i+9+1]
+0.0632381578*Close[i+10+1]
+0.0572428925*Close[i+11+1]
+0.0510534242*Close[i+12+1]
+0.0447468229*Close[i+13+1]
+0.0383959950*Close[i+14+1]
+0.0320735368*Close[i+15+1]
+0.0258537721*Close[i+16+1]
+0.0198005183*Close[i+17+1]
+0.0139807863*Close[i+18+1]
+0.0084512448*Close[i+19+1]
+0.0032639979*Close[i+20+1]
-0.0015350359*Close[i+21+1]
-0.0059060082*Close[i+22+1]
-0.0098190256*Close[i+23+1]
-0.0132507215*Close[i+24+1]
-0.0161875265*Close[i+25+1]
-0.0186164872*Close[i+26+1]
-0.0205446727*Close[i+27+1]
-0.0219739146*Close[i+28+1]
-0.0229204861*Close[i+29+1]
-0.0234080863*Close[i+30+1]
-0.0234566315*Close[i+31+1]
-0.0231017777*Close[i+32+1]
-0.0223796900*Close[i+33+1]
-0.0213300463*Close[i+34+1]
-0.0199924534*Close[i+35+1]
-0.0184126992*Close[i+36+1]
-0.0166377699*Close[i+37+1]
-0.0147139428*Close[i+38+1]
-0.0126796776*Close[i+39+1]
-0.0105938331*Close[i+40+1]
-0.0084736770*Close[i+41+1]
-0.0063841850*Close[i+42+1]
-0.0043466731*Close[i+43+1]
-0.0023956944*Close[i+44+1]
-0.0005535180*Close[i+45+1]
+0.0011421469*Close[i+46+1]
+0.0026845693*Close[i+47+1]
+0.0040471369*Close[i+48+1]
+0.0052380201*Close[i+49+1]
+0.0062194591*Close[i+50+1]
+0.0070340085*Close[i+51+1]
+0.0076266453*Close[i+52+1]
+0.0080376628*Close[i+53+1]
+0.0083037666*Close[i+54+1]
+0.0083694798*Close[i+55+1]
+0.0082901022*Close[i+56+1]
+0.0080741359*Close[i+57+1]
+0.0077543820*Close[i+58+1]
+0.0073260526*Close[i+59+1]
+0.0068163569*Close[i+60+1]
+0.0062325477*Close[i+61+1]
+0.0056078229*Close[i+62+1]
+0.0049516078*Close[i+63+1]
+0.0161380976*Close[i+64+1];
i1=val1-val2;
UPBuffer[i]=0.0; DownBuffer[i]=0.0;
if (i1>0) trend=true;
if (i1<0) trend=false;
if ((! trend==old) && trend==true) UPBuffer[i]=Low[i]-5*Point;
if ((! trend==old) && trend==false) DownBuffer[i]=High[i]+5*Point;
old=trend;
i--;
}
return(0);
}
//+------------------------------------------------------------------+
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