AlgLib: Numerical Analysis Library for MetaTrader

AlgLib: Numerical Analysis Library for MetaTrader
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AlgLib: Numerical Analysis Library for MetaTrader

Info

The AlgLib: Numerical Analysis Library for MetaTrader is a Library for MetaTrader 4 that alglib: numerical analysis librarythis library provides functions for numerical analysis, including the calculation of distribution moments such as mean, variance, skewness, and kurtosis. Input Parameters:- x: The sample array.

Usage

This tool is typically used for enhancing chart analysis and decision making.

Platform

This Library works exclusively on MetaTrader 4 (both build 600+ and newer versions).

Setup

Place the downloaded file in MQL4/Libraries folder via File ? Open Data Folder in MetaTrader 4.


How to Install and Use AlgLib: Numerical Analysis Library for MetaTrader

1. Storage: Place library files in the MQL/Libraries directory to ensure they are accessible to your projects.

2. Implementation: Include the library in your code using the #import directive, ensuring you match the exact function names and parameters.

3. Compilation: Ensure the library is present in the directory before you compile your main EA or script, as the compiler links them during this phase.

4. Management: Keep libraries organized in sub-folders if you manage many custom functions to maintain a clean project structure.

Frequently Asked Questions

Q: What is a library file used for? A: Libraries store reusable code modules, allowing you to centralize common logic used by multiple EAs or indicators.

Q: Is a library executable? A: No, libraries are non-executable files containing functions; they must be imported into an EA, indicator, or script to function.

Q: Can I update a library while the platform is running? A: You should compile your EA or script after updating a library to ensure the latest code changes are integrated.

What this tool does

AlgLib: Numerical Analysis LibraryThis library provides functions for numerical analysis, including the calculation of distribution moments such as mean, variance, skewness, and kurtosis.

Typical Use Case

This Library excels in automated trading and technical analysis on MetaTrader 4.

Compatible Platform & Setup

This Library works on MetaTrader 4. Place the file in the MQL4/Libraries folder and restart the terminal.

Description & Settings

Related: log4mql(mini) mt4 - another powerful library for MetaTrader 4 traders.

AlgLib: Numerical Analysis Library

This library provides functions for numerical analysis, including the calculation of distribution moments such as mean, variance, skewness, and kurtosis.

Also recommended: writing the quotes to a txt file with the full path and file name - similar library with strong performance on MetaTrader 4.


Input Parameters:
- x: The sample array.
- n: The sample size (n>=0). If provided, only the leading n elements of x are processed. If not provided, the size is determined automatically from x.

Output Parameters:
- mean: The calculated mean of the sample.
- variance: The calculated variance of the sample.
- skewness: The calculated skewness (zero if variance is zero).
- kurtosis: The calculated kurtosis (zero if variance is zero).

The library is designed to be used with static class functions. The `usealglib.mq5` script demonstrates its application in calculating statistical trading parameters.

Example Usage (from `usealglib.mq5` script):

The script calculates various trading statistics by processing historical order data. It uses the `samplemoments` function from the AlgLib library.

Key calculations include:
- Linear regression analysis on balance data.
- Expected payoff calculation.
- Calculation of the standard deviation and mean of historical profit/loss ratios (hpr).
- Pearson correlation coefficient between balance and linear regression values.
- Calculation of the standard error for the linear regression.
- Sharpe ratio calculation.

The script outputs the following results:
- Linear regression equation (y = mx + c).
- Expected payoff.
- Average historical profit (ahpr).
- Sharpe ratio.
- Linear regression correlation.
- Linear regression standard error.

This library is a valuable tool for traders and analysts looking to perform in-depth statistical analysis within the MetaTrader platform. All calculations are updated to reflect analysis relevant up to 2026.

You may also like: grid and martin gale include file - excellent alternative for library users on MetaTrader 4.

Source Code

#property strict
#include "testclasses.mqh"
void onstart()
  {
   uint seed;
   int  result;
   bool silent;
   _randomseed=gettickcount();
   seed=_randomseed;
   result=0;

.......

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Limitations & Risk Warning

  • This tool is provided for educational and testing purposes only.
  • Past performance does not guarantee future results.
  • Trading involves substantial risk of loss. Use on a demo account first.
  • Results may vary depending on market conditions, broker, and settings.
  • We recommend thorough backtesting and forward testing before using with real funds.
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