John Ehlers Toolbox

This indicator represents the improved version of Adaptive Laguerre Filter in which is applied the Laguerre Polynomial of any order(default value = 4). Parameters AdaptiveSmooth (default 5) and AdaptiveSmooth (default 4) serve to smooth a variable Gamma factor which is based on how well the filter is tracking a past N bars prices.

Also there is an option to plot the non-adaptive Laguerre filter using Length in bars and AdaptiveMode=0.

Code:

extern int  TimeFrame            =     0;    //Time Frame in min
extern int  Price                =     0;    //Applied Price: 0-C,1-O,2-H,3-L,4-Median,5-Typical,6-Weighted
extern int  Length               =    10;    //Length  
extern int  Order                =     4;    //Laguerre Filter Order 
extern int  AdaptiveMode         =     1;    //Adaptive Mode:0-off,1-on 
extern int  AdaptiveSmooth       =     5;    //Adaptive Factor Smoothing Period
extern int  AdaptiveSmoothMode   =     4;    //Adaptive Factor Smoothing Mode:0-SMA,1-EMA,2-Wilder,3-LWMA,4-Median
extern int  ColorMode            =     1;    //Color Mode(0-off,1-on)

Attachment 1245

On the picture you can see 2 filters with Order=2(fast) and Order=4(slow).

The Laguerre RSI is one of most interesting J.Ehlers' indicators. I think it's interesting to see how adaptive version works.
Please note the default settings correspond to the original version with gamma = 0.7.

Code:

extern int  TimeFrame            =     0;    //Time Frame in min
extern int  Price                =     0;    //Applied Price: 0-C,1-O,2-H,3-L,4-Median,5-Typical,6-Weighted
extern int  Length               =    24;    //Length  
extern int  Order                =     4;    //Laguerre Filter Order 
extern int  AdaptiveMode         =     0;    //Adaptive Mode:0-off,1-on 
extern int  AdaptiveSmooth       =     5;    //Adaptive Factor Smoothing Period
extern int  AdaptiveSmoothMode   =     4;    //Adaptive Factor Smoothing Mode:0-SMA,1-EMA,2-Wilder,3-LWMA,4-Median
extern int  ColorMode            =     0;    //Color Mode(0-off,1-on)

Attachment 1251


Regards,
Igor

Perhaps Fisher Transform is the most commonly used indicator from J.Ehlers collection because of using the wrong versions such as Fisher_Yur4ik, SolarWind and many other clones.

So please take a look at most advanced version of the Fisher Tranform where you can use 25 kinds of MAs, 3 Math Models(RSI, Stoch, DMI) and 3 kinds of Overbought/Oversold levels.

Please note that default settings correspond to the original version of this indicator.

Code:

extern int     TimeFrame         =     0;    // TimeFrame in min
extern int     MathMode          =     1;    // Math method: 0-RSI;1-Stoch;2-DMI
extern int     Price             =     4;    // Price = 0...10 (see List of Prices)
extern int     Length            =    10;    // Period of evaluation
extern int     PreSmooth         =     5;    // Period of PreSmoothing
extern int     Smooth            =     3;    // Period of smoothing
extern int     Signal            =     1;    // Period of Signal Line
extern int     MA_Method         =     1;    // See list above
extern int     LevelsMode        =     0;    // Levels Mode: 0-OverBought/OverSold 
                                             //              1-StdDev Bands
                                             //              2-High/Low Channel
extern double  OverBought        =    95;    // OverBought Level (ex.70)
extern double  OverSold          =     5;    // OverSold Level (ex.30)
extern int     LookBackPeriod    =    20;    // LookBack Period for LevelsMode=1,2 
extern double  UpperMultiplier   =     1;    // Upper Band Multiplier for LevelsMode=1 
extern double  LowerMultiplier   =     1;    // Lower Band Multiplier for LevelsMode=1

Attachment 1259



Regards,
Igor

It would be logical that the Inverse Fisher Transform is next indicator in our collection. So please check out my MTF version of this indicator with options as follows:

• 3 Math Methods: 0-RSI, 1-Stochastic, 2-DMI
• 25 types of Moving Averages
• 3 kinds of Overbought/Oversold levels

And as usually please note that default settings correspond to the original version of this indicator.

Code:

extern int     TimeFrame         =     0;    // TimeFrame in min
extern int     MathMode          =     0;    // Math method: 0-RSI;1-Stoch;2-DMI
extern int     Price             =     0;    // Price = 0...6
extern int     Length            =     5;    // Period of evaluation
extern int     MA_Method         =     2;    // MA Method: See list above
extern int     Smooth            =     9;    // Period of smoothing
extern int     SmoothMethod      =     3;    // Smoothing method
extern int     LevelsMode        =     0;    // Levels Mode: 0-OverBought/OverSold 
                                             //              1-StdDev Bands
                                             //              2-High/Low Channel
extern double  OverBought        =    70;    // OverBought Level (ex.70)
extern double  OverSold          =    30;    // OverSold Level (ex.30)
extern int     LookBackPeriod    =    20;    // LookBack Period for LevelsMode=1,2 
extern double  UpperMultiplier   =     1;    // Upper Band Multiplier for LevelsMode=1 
extern double  LowerMultiplier   =     1;    // Lower Band Multiplier for LevelsMode=1

Attachment 1264


Regards,
Igor

Hi,

One more adaptive tool is FRAMA(Fractal Adaptive Moving Average). There are a lot of versions of this indicator and one of them is a part of the MT5 library of pre-installed indicators. So please take a look at our version of the FRAMA. Plus you can find Fractal Dimension indicator which is main part of the FRAMA algorithm.

Code:

extern int  TimeFrame            =     0;    //Time Frame in min
extern int  Price                =     4;    //Applied Price: 0-C,1-O,2-H,3-L,4-Median,5-Typical,6-Weighted
extern int  HiLoMode             =     1;    //High/Low switch:0-off,1-on 
extern int  Length               =    16;    //Length(must be an even number)   
extern int  MinPeriod            =     1;    //EMA Min Period
extern int  MaxPeriod            =   200;    //EMA Max Period
extern int  AdaptiveSmooth       =     1;    //Adaptive Factor Smoothing Period
extern int  AdaptiveSmoothMode   =     0;    //Adaptive Factor Smoothing Mode:0-SMA,1-EMA,2-Wilder,3-LWMA,4-Median
extern int  ColorMode            =     1;    //Color Mode(0-off,1-on)

Attachment 1366

Regards,
Igor

Hi,

Please check out the fixed versions of AdaptiveLaguerre and AdaptiveLaguerreRSI. So now you can input any number for the Length parameter.

Attachment 1402



Regards,
Igor

Originally Posted by igorad

Hi All,

I suppose the SwamiCharts are latest indicators from J.Ehlers ToolBox. SwamiCharts is an evolutionary step forward, providing a 3D heatmap view of a technical indicator over a wide sequential range of lookback periods.

So please take a look at the SwamiStochastic_v1 with input parameters as follows:

Code:

extern int     Price          =        0;    //Applied to
extern int     HiLoMode       =        0;    //HiLoMode
extern int     StartLength    =       12;    //Stochastic Start Period
extern int     EndLength      =       48;    //Stochastic End Period
extern int     SampleLength   =       12;    //Sample Stochastic Period(0-off)
extern int     PreSmooth      =        3;    //Pre-smoothing Period
extern int     Smooth         =        9;    //Smoothing Period         
extern color   UpTrendColor   =     Lime;    //UpTrend Color 
extern color   DnTrendColor   =      Red;    //DownTrend Color
extern color   FlatColor      =   Yellow;    //Flat Color (if NONE-2 Color Mix)  
extern string  UniqueName     =  "Stoch";    //
extern int     ScaleMode      =        1;    //0-J.Ehlers,1-0...100
extern int     SwamiBars      =      100;    //-1-off,0-all Bars,>0-any number

Attachment 908


Regards,
Igor

Hi Igor ,

Although the concept is solid and interesting ,it is difficult to trade with swami indicator.So is it possible to give bit value for each clour like similar to this article: Comparative Analysis of 30 Indicators and Oscillators thanks and regards.

Originally Posted by Tovim

Hi Igor ,

Although the concept is solid and interesting ,it is difficult to trade with swami indicator.So is it possible to give bit value for each clour like similar to this article: Comparative Analysis of 30 Indicators and Oscillators thanks and regards.

Hi Tovim,

There could be a lot of modifications of the SwamiChart method. The SwamiStoch is just a small part of the whole direction which was created J.Ehlers during last years. More infomation you can receive at the swamicharts.com and stockspotter.com.

Please take a look at the screenshot from the stockspotter.com.

Attachment 1517

As you can see there is 3 important definitions: Early Action, Confirmation and Continuation, that show what is going on the market.

But I understand that you want to have more clear picture from 2 colors: green color - uptrend and red - downtrend. Please check out the updated SwamiStochastic_v1.1 with new parameter VisualMode: 0-standard,1-trend.


Attachment 1521


Regards,
Igor

Hi,

Please check out MTF AdaptiveCyberCycle indicator with extended settings. I think it will be interesting to see how good this indicator performs on the syntetic charts. Also you should know the indicator coded by Witold Wozniak has serious bug.

Code:

extern int     TimeFrame    =   0;  //Timeframe in min
extern int     Price        =   4;  //Applied to(see list above) 
extern double  Alpha        =0.07;  //Cycle Smoothing Factor
extern int     MedianPeriod =   5;  //Period of Moving Median
extern int     DCsmooth     =   5;  //Period of Dominant Cycle Smoothing
extern int     AdaptiveMode =   0;  //0-off,1-on

Attachment 1561

Attachment 1562


Regards,
Igor

Hi,

Please check out MTF AdaptiveRVI indicator with extended settings.

Code:

//---- input parameters
extern int     TimeFrame    =   0;  //Timeframe in min
extern int     Price        =   4;  //Applied to(see list above) 
extern double  Alpha        =0.07;  //Cycle Smoothing Factor
extern int     MedianPeriod =   5;  //Period of Moving Median
extern int     DCsmooth     =   5;  //Period of Dominant Cycle Smoothing

Attachment 1593


Attachment 1594


Regards,
Igor