FTLM-STLM

Download script
Author: Copyright � 2005, Finware Technologies Ltd
FTLM-STLM

This script is a custom technical indicator designed to work with the MetaTrader trading platform. Its primary purpose is to analyze historical price data and provide visual representations of market trends or momentum through three distinct mathematical calculations.

Instead of using standard moving averages, this script employs a sophisticated "weighted" approach. It looks at a specific window of past price action—specifically, it analyzes up to 91 previous closing prices to determine current values.

Here is a breakdown of the logic used by the script:

Data Processing Logic

The script processes the market data in three separate layers simultaneously. Each layer applies a unique set of mathematical "weights" to historical price points to generate different results on your chart:

  • Layer 1 (Primary Trend): This calculation assigns specific positive and negative weights to a range of past prices. By multiplying various historical closing prices by these precise decimals, the script creates a smoothed line that highlights core price movements while filtering out minor "noise."
  • Layer 2 (Secondary Trend): This layer uses an entirely different set of coefficients to calculate a second line. Because it uses different weighting values than the first layer, it provides a different perspective on the market—allowing a user to see multiple viewpoints of price momentum at once.
  • Layer 3 (Complex Analysis): The script performs a third, much more extensive calculation involving a larger set of data points (up to 90 bars back). This creates a highly nuanced view of the data, likely intended to identify deeper market cycles or more subtle shifts in price behavior that simpler indicators might miss.

How it Appears on the Chart

From a user's perspective, these three calculations are plotted as distinct lines in a separate window below your main price chart.

  • Visual Representation: The script identifies these as two main visual buffers (colors), but it calculates three distinct mathematical paths. These lines move in relation to each other based on how much weight the script gives to recent vs. older prices.
  • Dynamic Updates: The script is designed to automatically recalculate as new price data arrives, ensuring that the lines stay updated with the current market state.

Summary for the User

Think of this script as a "multi-lens" microscope. Rather than telling you what the price is doing in a simple way, it breaks down the history of the last 90 bars into three different mathematical "opinions." By looking at where these lines converge, diverge, or cross, a trader can gain a more detailed understanding of the market's underlying momentum and trend strength.

Miscellaneous
Implements a curve of type %1
10 Views
0 Downloads
0 Favorites
FTLM-STLM 
//+------------------------------------------------------------------+
//|                                                    FTLM-STLM.mq4 |
//|                       Copyright © 2005, Finware Technologies Ltd |
//|                                            http://www.finware.ru |
//+------------------------------------------------------------------+
#property copyright "Copyright © 2005, Finware Technologies Ltd"
#property link      "http://www.finware.ru"

#property indicator_separate_window
#property indicator_buffers 2
#property indicator_color1 DarkKhaki
#property indicator_color2 DarkSalmon
//---- input parameters
extern int       CountBars=300;
//---- buffers
double ExtMapBuffer1[];
double ExtMapBuffer2[];
//+------------------------------------------------------------------+
//| Custom indicator initialization function                         |
//+------------------------------------------------------------------+
int init()
  {
//---- indicators
   SetIndexStyle(0,DRAW_LINE);
   SetIndexBuffer(0,ExtMapBuffer1);
   SetIndexStyle(1,DRAW_LINE);
   SetIndexBuffer(1,ExtMapBuffer2);
//----
   return(0);
  }
//+------------------------------------------------------------------+
//| Custor indicator deinitialization function                       |
//+------------------------------------------------------------------+
int deinit()
  {
//---- TODO: add your code here
   
//----
   return(0);
  }
//+------------------------------------------------------------------+
//| Custom indicator iteration function                              |
//+------------------------------------------------------------------+
int start()
  {
   int    counted_bars=IndicatorCounted();
    int i,AccountedBars,shift,value1,value2,value3,value4;
//---- TODO: add your code here

AccountedBars = Bars-CountBars;

   for(i=AccountedBars;i<=Bars-1;i++) 
   {
   
   shift = Bars - 1 - i;
   
  ExtMapBuffer1[shift]= 0.4360409450*Close[shift+0]
+0.3658689069*Close[shift+1]
+0.2460452079*Close[shift+2]
+0.1104506886*Close[shift+3]
-0.0054034585*Close[shift+4]
-0.0760367731*Close[shift+5]
-0.0933058722*Close[shift+6]
-0.0670110374*Close[shift+7]
-0.0190795053*Close[shift+8]
+0.0259609206*Close[shift+9]
+0.0502044896*Close[shift+10]
+0.0477818607*Close[shift+11]
+0.0249252327*Close[shift+12]
-0.0047706151*Close[shift+13]
-0.0272432537*Close[shift+14]
-0.0338917071*Close[shift+15]
-0.0244141482*Close[shift+16]
-0.0055774838*Close[shift+17]
+0.0128149838*Close[shift+18]
+0.0226522218*Close[shift+19]
+0.0208778257*Close[shift+20]
+0.0100299086*Close[shift+21]
-0.0036771622*Close[shift+22]
-0.0136744850*Close[shift+23]
-0.0160483392*Close[shift+24]
-0.0108597376*Close[shift+25]
-0.0016060704*Close[shift+26]
+0.0069480557*Close[shift+27]
+0.0110573605*Close[shift+28]
+0.0095711419*Close[shift+29]
+0.0040444064*Close[shift+30]
-0.0023824623*Close[shift+31]
-0.0067093714*Close[shift+32]
-0.0072003400*Close[shift+33]
-0.0047717710*Close[shift+34]
+0.0005541115*Close[shift+35]
+0.0007860160*Close[shift+36]
+0.0130129076*Close[shift+37]
+0.0040364019*Close[shift+38]
-(-0.0025097319*Close[shift+0]
+0.0513007762*Close[shift+1]
+0.1142800493*Close[shift+2]
+0.1699342860*Close[shift+3]
+0.2025269304*Close[shift+4]
+0.2025269304*Close[shift+5]
+0.1699342860*Close[shift+6]
+0.1142800493*Close[shift+7]
+0.0513007762*Close[shift+8]
-0.0025097319*Close[shift+9]
-0.0353166244*Close[shift+10]
-0.0433375629*Close[shift+11]
-0.0311244617*Close[shift+12]
-0.0088618137*Close[shift+13]
+0.0120580088*Close[shift+14]
+0.0233183633*Close[shift+15]
+0.0221931304*Close[shift+16]
+0.0115769653*Close[shift+17]
-0.0022157966*Close[shift+18]
-0.0126536111*Close[shift+19]
-0.0157416029*Close[shift+20]
-0.0113395830*Close[shift+21]
-0.0025905610*Close[shift+22]
+0.0059521459*Close[shift+23]
+0.0105212252*Close[shift+24]
+0.0096970755*Close[shift+25]
+0.0046585685*Close[shift+26]
-0.0017079230*Close[shift+27]
-0.0063513565*Close[shift+28]
-0.0074539350*Close[shift+29]
-0.0050439973*Close[shift+30]
-0.0007459678*Close[shift+31]
+0.0032271474*Close[shift+32]
+0.0051357867*Close[shift+33]
+0.0044454862*Close[shift+34]
+0.0018784961*Close[shift+35]
-0.0011065767*Close[shift+36]
-0.0031162862*Close[shift+37]
-0.0033443253*Close[shift+38]
-0.0022163335*Close[shift+39]
+0.0002573669*Close[shift+40]
+0.0003650790*Close[shift+41]
+0.0060440751*Close[shift+42]
+0.0018747783*Close[shift+43]);

ExtMapBuffer2[shift]= 0.0982862174*Close[shift+0]
+0.0975682269*Close[shift+1]
+0.0961401078*Close[shift+2]
+0.0940230544*Close[shift+3]
+0.0912437090*Close[shift+4]
+0.0878391006*Close[shift+5]
+0.0838544303*Close[shift+6]
+0.0793406350*Close[shift+7]
+0.0743569346*Close[shift+8]
+0.0689666682*Close[shift+9]
+0.0632381578*Close[shift+10]
+0.0572428925*Close[shift+11]
+0.0510534242*Close[shift+12]
+0.0447468229*Close[shift+13]
+0.0383959950*Close[shift+14]
+0.0320735368*Close[shift+15]
+0.0258537721*Close[shift+16]
+0.0198005183*Close[shift+17]
+0.0139807863*Close[shift+18]
+0.0084512448*Close[shift+19]
+0.0032639979*Close[shift+20]
-0.0015350359*Close[shift+21]
-0.0059060082*Close[shift+22]
-0.0098190256*Close[shift+23]
-0.0132507215*Close[shift+24]
-0.0161875265*Close[shift+25]
-0.0186164872*Close[shift+26]
-0.0205446727*Close[shift+27]
-0.0219739146*Close[shift+28]
-0.0229204861*Close[shift+29]
-0.0234080863*Close[shift+30]
-0.0234566315*Close[shift+31]
-0.0231017777*Close[shift+32]
-0.0223796900*Close[shift+33]
-0.0213300463*Close[shift+34]
-0.0199924534*Close[shift+35]
-0.0184126992*Close[shift+36]
-0.0166377699*Close[shift+37]
-0.0147139428*Close[shift+38]
-0.0126796776*Close[shift+39]
-0.0105938331*Close[shift+40]
-0.0084736770*Close[shift+41]
-0.0063841850*Close[shift+42]
-0.0043466731*Close[shift+43]
-0.0023956944*Close[shift+44]
-0.0005535180*Close[shift+45]
+0.0011421469*Close[shift+46]
+0.0026845693*Close[shift+47]
+0.0040471369*Close[shift+48]
+0.0052380201*Close[shift+49]
+0.0062194591*Close[shift+50]
+0.0070340085*Close[shift+51]
+0.0076266453*Close[shift+52]
+0.0080376628*Close[shift+53]
+0.0083037666*Close[shift+54]
+0.0083694798*Close[shift+55]
+0.0082901022*Close[shift+56]
+0.0080741359*Close[shift+57]
+0.0077543820*Close[shift+58]
+0.0073260526*Close[shift+59]
+0.0068163569*Close[shift+60]
+0.0062325477*Close[shift+61]
+0.0056078229*Close[shift+62]
+0.0049516078*Close[shift+63]
+0.0161380976*Close[shift+64]
-(-0.0074151919*Close[shift+0]
-0.0060698985*Close[shift+1]
-0.0044979052*Close[shift+2]
-0.0027054278*Close[shift+3]
-0.0007031702*Close[shift+4]
+0.0014951741*Close[shift+5]
+0.0038713513*Close[shift+6]
+0.0064043271*Close[shift+7]
+0.0090702334*Close[shift+8]
+0.0118431116*Close[shift+9]
+0.0146922652*Close[shift+10]
+0.0175884606*Close[shift+11]
+0.0204976517*Close[shift+12]
+0.0233865835*Close[shift+13]
+0.0262218588*Close[shift+14]
+0.0289681736*Close[shift+15]
+0.0315922931*Close[shift+16]
+0.0340614696*Close[shift+17]
+0.0363444061*Close[shift+18]
+0.0384120882*Close[shift+19]
+0.0402373884*Close[shift+20]
+0.0417969735*Close[shift+21]
+0.0430701377*Close[shift+22]
+0.0440399188*Close[shift+23]
+0.0446941124*Close[shift+24]
+0.0450230100*Close[shift+25]
+0.0450230100*Close[shift+26]
+0.0446941124*Close[shift+27]
+0.0440399188*Close[shift+28]
+0.0430701377*Close[shift+29]
+0.0417969735*Close[shift+30]
+0.0402373884*Close[shift+31]
+0.0384120882*Close[shift+32]
+0.0363444061*Close[shift+33]
+0.0340614696*Close[shift+34]
+0.0315922931*Close[shift+35]
+0.0289681736*Close[shift+36]
+0.0262218588*Close[shift+37]
+0.0233865835*Close[shift+38]
+0.0204976517*Close[shift+39]
+0.0175884606*Close[shift+40]
+0.0146922652*Close[shift+41]
+0.0118431116*Close[shift+42]
+0.0090702334*Close[shift+43]
+0.0064043271*Close[shift+44]
+0.0038713513*Close[shift+45]
+0.0014951741*Close[shift+46]
-0.0007031702*Close[shift+47]
-0.0027054278*Close[shift+48]
-0.0044979052*Close[shift+49]
-0.0060698985*Close[shift+50]
-0.0074151919*Close[shift+51]
-0.0085278517*Close[shift+52]
-0.0094111161*Close[shift+53]
-0.0100658241*Close[shift+54]
-0.0104994302*Close[shift+55]
-0.0107227904*Close[shift+56]
-0.0107450280*Close[shift+57]
-0.0105824763*Close[shift+58]
-0.0102517019*Close[shift+59]
-0.0097708805*Close[shift+60]
-0.0091581551*Close[shift+61]
-0.0084345004*Close[shift+62]
-0.0076214397*Close[shift+63]
-0.0067401718*Close[shift+64]
-0.0058083144*Close[shift+65]
-0.0048528295*Close[shift+66]
-0.0038816271*Close[shift+67]
-0.0029244713*Close[shift+68]
-0.0019911267*Close[shift+69]
-0.0010974211*Close[shift+70]
-0.0002535559*Close[shift+71]
+0.0005231953*Close[shift+72]
+0.0012297491*Close[shift+73]
+0.0018539149*Close[shift+74]
+0.0023994354*Close[shift+75]
+0.0028490136*Close[shift+76]
+0.0032221429*Close[shift+77]
+0.0034936183*Close[shift+78]
+0.0036818974*Close[shift+79]
+0.0038037944*Close[shift+80]
+0.0038338964*Close[shift+81]
+0.0037975350*Close[shift+82]
+0.0036986051*Close[shift+83]
+0.0035521320*Close[shift+84]
+0.0033559226*Close[shift+85]
+0.0031224409*Close[shift+86]
+0.0028550092*Close[shift+87]
+0.0025688349*Close[shift+88]
+0.0022682355*Close[shift+89]
+0.0073925495*Close[shift+90]);


   
   }
   
//----
   return(0);
  }
//+------------------------------------------------------------------+

Similar scripts

DTM

This indicator quantifies market velocity by calculating the divergence between two distinct sets of weighted linear combinations of historical price data.

RSTL_v1

This indicator calculates a weighted sum of the previous ninety-nine closing prices using specific coefficients to identify cyclical momentum and structural equilibrium.

SATL_002

This indicator calculates a complex weighted moving average by applying unique coefficients to the previous 65 closing prices to identify trend momentum.

SATL

This indicator calculates a price trend by applying a predefined set of unique weighted coefficients to the closing prices of the preceding 65 bars.

SATL_v2

This indicator calculates a smoothed price trajectory by applying a non-linear weighted sum of the 65 most recent closing prices to identify underlying momentum.

RSTL_v2

This indicator calculates a high-precision moving average by applying a multi-point weighted sum of historical closing prices to filter noise and reveal underlying price trends.

Trendline_Slow

This indicator utilizes a fixed-coefficient polynomial regression to calculate price momentum by applying weighted sum values across a 99-period lookback window.

SATL_v1

This indicator calculates a complex price smoothing value by applying a specific weighted linear combination of the last 65 closing prices to identify underlying trends.

RSTL

This indicator calculates a smoothed price signal by applying a specific non-linear weighted coefficient array to a 99-period historical close price sequence.

dspFilter-Test1_nd

This indicator calculates a complex weighted moving average by applying specific coefficient distributions to historical open and close prices to identify underlying price trends.

RBCI_v1

This indicator calculates a weighted sum of the last 56 closing prices using specific coefficients to visualize price deviation and momentum dynamics.

Comments