Inc AM A On Array

Inc AM A On Array
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Inc AM A On Array

Info

The Inc AM A On Array is a Library for MetaTrader 5 that camaonarray class is designed for calculation of (adaptive moving average) values on indicator buffers. Usage: Init()method with the following parameters is called in the function:int aPeriod- efficiency ratio calculation period;int aFastPeriod- EMA minimum period;int aSlowPeriod- EMA maximum period.

Usage

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

Platform

This Library works exclusively on MetaTrader 5 (both build 600+ and newer versions).

Setup

Place the downloaded file in MQL5/Libraries folder via File ? Open Data Folder in MetaTrader 5.


How to Install and Use Inc AM A On Array

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

CAMAOnArray class is designed for calculation of (Adaptive Moving Average) values on indicator buffers.

Typical Use Case

This Library excels in automated trading and technical analysis on MetaTrader 5.

Compatible Platform & Setup

This Library works on MetaTrader 5. Place the file in the MQL5/Libraries folder and restart the terminal.

Description & Settings

Related: Inc MA On Array - another powerful library for MetaTrader 5 traders.


CAMAOnArray class is designed for calculation of (Adaptive Moving Average) values on indicator buffers.
Usage:
Init()

Also recommended: Inc AT R On Array - similar library with strong performance on MetaTrader 5.

method with the following parameters is called in the function:

int aPeriod
- efficiency ratio calculation period;

int aFastPeriod
- EMA minimum period;

int aSlowPeriod
- EMA maximum period.
Solve()
method with the following parameters is called in the function:

const int aRatesTotal
is a rates_total variable from the OnCalculate() function parameters;

const int aPrevCalc
- prev_calculated variable from the OnCalculate() function;

double aData[]
- data buffer for the indicator calculation;

double aAMA[]
- the buffer with AMA calculated value.
Additional methods:
int BarsRequired() - returns the minimum number of bars for the indicator calculation; string Name() - returns the line with the indicator name.
Test_AMAOnArray.mq5 - is a sample indicator showing CAMAOnArray class use. IncAMAOnArray file must be placed to MQL5\Include\IncOnArray of the terminal data folder (IncOnArray folder must be created).
(AMA) Technical Indicator is used for constructing a moving average with low sensitivity to price series noises and is characterized by the minimal lag for trend detection. This indicator was developed and described by Perry Kaufman in his book "Smarter Trading".

You may also like: Inc AD X On Array - excellent alternative for library users on MetaTrader 5.


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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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