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About Us

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+

1.0 Introduction

+ +

All functions available to the end-user are documented here.

+ +

2.0 How to build and link to TA-Lib

+ +

To use the library in C/C++ project, you just need to #include +"ta_libc.h" and link to the static library corresponding to your type +of application.

+ +

All the required header file are in +ta-lib/c/include. Header files in other directories +should never be included by your application directly.

+ +

2.1 Windows - MSVC and Visual Studio

+ +

Here is the list of variant of the static library currently supported:

+

 

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Static Library NameUse runtime DLL? Multithreaded?Debug info?
ta_libc_csr.lib---
ta_libc_csd.lib--Yes
ta_libc_cmr.lib-Yes-
ta_libc_cmd.libYesYes
ta_libc_cdr.libYesYes-
ta_libc_cdd.libYesYesYes
+

 

Pre-compiled + version of these libraries is part of the MSVC package. If you wish to + re-build yourself the static libraries, makefiles can be found in ta-lib/make/<ENV>/win32/msvc. + These MSVC makefiles also works with Visual Studio 2005.
+
+
The <ENV> is a 3 letter sub-directories (cmd, cmr, csd, csr, cdd + and cdr) + allowing to select the "standard library runtime" setting for your + application).
+
+
Just type "nmake" or "nmake /A" to build all targets. +The generated targets will be found in ta-lib/c/lib and ta-lib/c/bin. + +

To rebuild from scratch do "nmake clean" and then "nmake" again.

+
    +
  • +

    The application without debug info are the speed optimized version. They cannot be trace for debugging though.

  • +
  • +

    Visual Studio 2005 project files can be found in + ta-lib/c/ide/vs2005

  • +
  • +

    If you observe + link errors on Windows, verify that the "Use runtime library" setting in the + C/C++ Code generation tab is the same as your choice of static libraries.

  • +
  • +

    Link errors + will show up if your application does not links with wininet and + odbc32. These are provided with MSVC and Borland and should be found on your + system.

  • +
+ +

2.2 Windows/Free C++ +Borland Compiler

+ +
    +
  • Same as for Microsoft Visual C++, except: Makefiles are in ta-lib/c/make/<ENV>/win32/borland + and the cdd and cdr static library are not available.
     
  • +
  • Execute the Borland "make" instead of the Microsoft "nmake".
  • +
  • To build from scratch, do "make clean". This is needed particularly if you are switching between Borland and MSVC compiler because the object file formats are different (COFF=MSFT, OMF=Borland)
  • +
+ +

2.3 Other Platforms

+ +

2.3.1 Linux Static Libraries

+ +

The Git repository +and the Win32 packages contains multiple makefiles generated for multiple +platforms, including Linux. The makefiles are +found in ta-lib/make/<ENV>/linux/g++.

+ +

The <ENV> is a 3 letter sub-directories (cmd,cmr,csd,csr) allowing to select an environment of development applicable to your +application (see section 2.1). The cdd and cdr type does not apply to Linux.

+ +

Just type "make clean" and "make" to build all targets. +The generated target will be found in ta-lib/c/lib and ta-lib/c/bin.

+

You will need to +link to 3 static libraries: ta-abstract, ta-func and ta-common

+ +

2.3.2 All Unix Flavors Shared Libraries

+ +

Download the source code tar.gz package and perform the following as root:

+
$ cd ta-lib
+$ ./configure --prefix=/usr
+$ make
+$ sudo make install
+
+ +

TA-Lib is installed +as a shared library called "libta-lib" (name will vary depending of your +platform). With gcc you link using the switch "-lta-lib".

+ +

2.4 +Regression Testing (All Platform)

+ +

When building the +complete source tree, an application called "ta_regtest" is created in the ta-lib/c/bin +directory. This is a suite of tests to validate that the library you did compiled is behaving as expected +within your environment.

+ +

Whenever you +re-compile the TA-Lib libraries, it is suggested to re-run ta_regtest. An internet connection is required +since web data fetching is one feature being tested.

+

+3.0 Technical Analysis Functions

+

Make sure TA_Initialize +was called once (and only once) prior to any other API functions.

+

The individual TA function can be directly called. User who would like to integrate +the TA functions without prior knowledge of their parameters, should consider +the +abstraction +layer interface.

+

The source code of all the TA functions is in +ta-lib/c/src/ta_func.

+

3.1 Direct +call to a TA Function

+

Direct call could be +done through the interface defined in + +ta-lib/c/include/ta_func.h

+

All the TA functions are simple mathematical function. You provides the inputs with an array, and the function simply store the output in a +caller provided output array. The TA functions are NOT allocating +any space for the caller. The +number of data in the output will NEVER exceed the number of elements requested to be calculated (with +the startIdx and endIdx explained below).

+

Here is an example:

+

We will dissect the TA_MA function allowing to calculate a +simple moving average.

+

TA_RetCode TA_MA( +int          startIdx,
+                  +int          endIdx,
+                  +const double inReal[],
+                  +int          +optInTimePeriod,
+                  +int          +optInMAType,
+                  +int         +*outBegIdx,
+                  +int         *outNbElement,
+                  +double       outReal[],
               +) +

+

At first it appears that there is a lot of parameters, but do not be +discourage, all functions are consistent and share the same parameter structure. The parameters are provided in +4 sections:

+
    +
  • +

    The output will be calculated only + for the range specified by startIdx to endIdx.

  • +
  • +

    + One or more data inputs are then specified. In that example there is only one + input. All inputs parameter + name starts with "in".

  • +
  • +

    + zero or more optional inputs are specified + here. In that example + there is 2 optional inputs. These parameters allows to fine tune the function. If you do not care about a particular optIn + just specify TA_INTEGER_DEFAULT or TA_REAL_DEFAULT (depending of the type).

  • +
  • +

    + One or more output are finally specified. In that example there is only one + output which is outReal (the parameters outBegIdx and + outNbElement are always specified once before the list of outputs).

  • +
+

This structure of parameters gives a lot of flexibility to make the function +calculate ONLY the portion of required data. It is slightly complex, but it +allows demanding user to manage efficiently the memory and the CPU processing.

+

Lets say you wish to calculate a 30 day moving average using closing prices. +The function call could look as follow:

+
+
TA_Real    closePrice[400];
+TA_Real    out[400];
+TA_Integer outBeg;
+TA_Integer outNbElement;
+
+
+
/* ... initialize your closing price here... */
+
+
+
retCode = TA_MA( 0, 399,
+                 &closePrice[0],
+                 30,TA_MAType_SMA,
+                 &outBeg, &outNbElement, &out[0] );
+
+
+
/* The output is displayed here */
+for( i=0; i < outNbElement; i++ )
+   printf( "Day %d = %f\n", outBeg+i, out[i] );
+
+
+

One important aspect +of the output are the outBeg and outNbElement. Even if it was requested to +calculate for the whole range (from 0 to 399), the moving average is not valid +until the 30th day. Consequently, the outBeg will be 29 (zero base)  and +the outNbElement will be 400-29 = 371. Meaning only +the first 371 elements of out are valid, and these could be calculated only +starting at the 30th element of the input.

+

As an alternative example, if you would have requested to calculate only in +the "125 to 225" range (with startIdx and endIdx), the outBeg will be +125 and outNbElement will be 100. (the "30" minimum required is not an +issue because we dispose of 125 closing price before the start of the requested +range...). As you may have already understand, the "out" array will be +written only for its first 100 elements. The rest will be left untouched.

+

Here is another example. In that case we want to calculate a 14 bars exponential moving average +only for 1 price bar in particular (say the last day of 300 price bar): 

+
+
TA_Real    closePrice[300];
+TA_Real    out;
+TA_Integer outBeg;
+TA_Integer outNbElement;
+
+
+
/* ... initialize your closing price here... */
+
+
+
retCode = TA_MA( 299, 299,
+                 &closePrice[0],
+                 14, TA_MAType_EMA,
+                 &outBeg, &outNbElement, &out );
+
+

In that example: outBeg will be 299,  outNbElement will be 1, and only +one value gets written into out.

+

In the case that you do not provide enough data to even being able to +calculate at least one value, outNbElement will be 0 and outBeg shall  be +ignored.

+

If the input and +output of a TA function are of the same type, the caller can re-use the input +buffer for storing one of the output of the TA function. The following example will +work:

+
+
#define BUFFER_SIZE 100
+TA_Real buffer[BUFFER_SIZE];
+...
+retCode = TA_MA( 0, BUFFER_SIZE-1,
+                 &buffer[0],
+                 30, TA_MAType_SMA,
+                 &outBeg, &outNbElement, &buffer[0] );
+
+

Of course, the +input is overwritten, but this capability +diminish needs for temporary memory allocation for certain application. You can +assume this capability is true for all TA functions.

+

3.2 Output Size

+

+It is important that the output array is large enough. Depending of your needs, +you might find one of the following method useful to determine the output +allocation size. All these methods are consistent and works with all TA +functions:

+ + + + + + + + + + + + + + + + + +
MethodDescription
Input MatchingallocationSize = endIdx + 1;

+ Pros: Easy to understand and implement.
+ Cons: Memory allocation unnecessary large when specifying small range.

Range MatchingallocationSize = endIdx - startIdx + 1;
+
+ Pros: Easy to implement.
+ Cons: Allocation slightly larger than needed. Example: for a 30 period SMA, + you will get 29 elements wasted because of the lookback.
Exact Allocationlookback = TA_XXXX_Lookback( ... ) ;
+ temp = max( lookback, startIdx );
+ if( temp > endIdx )
+   allocationSize = 0; // No output
+ else
+   allocationSize = endIdx - temp + 1;

+ Pros: Optimal allocation algorithm.
+ Cons: Slightly more complex

+

 

+

A +function TA_XXXX_Lookback is provided for each TA function. Example: For TA_SMA, +there is a TA_SMA_Lookback.

+

The lookback function indicates how many inputs are consume before the first +output can be calculated. Example: A simple moving average (SMA) of period 10 +will have a lookback of 9.

+ +

4.0 Advanced Features

+ +

4.1 Abstraction Layer

+

All the TA Function can be called using the interface defined in +ta-lib/c/include/ta_abstract.h

+

The abstraction layer is particularly interesting for an application who wishes to support the complete list of TA functions without having +to re-write new code each time a new function is added to the TA-LIB. If you wish to simply integrate in your application a small number of specific +function, you may be better to simply call these directly (see previous section).
+
+ Example:
+Lets say you are doing a charting software. When the user select a price bar, a side list offers blindly all the TA functions +that could be applied to a price bar. The user selects one of these, then a dialog open for allowing to adjust +the optional parameters (TA-LIB will tell your software which parameter are needed and the +valid value range for each). Once all the parameter are set, you can call blindly the +corresponding TA function. The returned information can then also blindly be drawn on the chart (some +output flags allows to get some hint on how the data shall be drawn). The same "abstract" logic apply to all the TA functions. +Some TA Functions works only on volume, or can work indifferently with any time series +data (the open, close, another indicator...) All the applicable functions to the currently selected/available +data can be determined through this "virtual" interface.
+
+The abstraction layer is a complex, but powerful interface.

+

4.2 Unstable Period

+

Some TA functions provides different results depending of the "starting point" of the data being +involve. This is often referred as a function having memories. An example of such function is the Exponential Moving Average. It is +possible to control the unstable period (the amount of data to strip off) with +TA_SetUnstablePeriod and +TA_GetUnstablePeriod.

+

4.3 Input Type: float vs. double

+

For each technical analysis algorithm, there is one version of the function accepting the input as +array of float and another accepting array of double. The float version has a "TA_S_" suffix e.g. +for TA_MA there is an equivalent TA_S_MA function.

+

TA_RetCode TA_MA( int    startIdx,
+                  +int    endIdx,
+                  +const double  inReal[],
+
                  +int           optInTimePeriod, +
+                  +TA_MAType     optInMAType,
+                  +int          *outBegIdx,
+                  +int          *outNbElement,
+                  +double        outReal[] );
+
+TA_RetCode TA_S_MA( int    startIdx,
+                    +int    endIdx,
+                    +const float inReal[],
+                    +int         optInTimePeriod,
+                    +TA_MAType   optInMAType,
+                    +int        *outBegIdx,
+                    +int        *outNbElement,
+                    +double      outReal[] );

+

Both version do all the +calculation using double e.g. when an element of a float array is accessed, it +is changed to double-precision. Consequently, both function will yield the same result.

+

It is typical that +users have their price bar data as float and maintain all their intermediate +calculation as double. Having direct support for both type in TA-Lib is more +memory efficient.  With only one type, the user would be potentially forced +to duplicate their input data in a new array of a different type prior to a TA +function call.

+ +
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