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    Mql5 Advanced: Anti-Correlation Multi-Symbol Ea With Mql5

    Posted By: ELK1nG
    Mql5 Advanced: Anti-Correlation Multi-Symbol Ea With Mql5

    Mql5 Advanced: Anti-Correlation Multi-Symbol Ea With Mql5
    Published 6/2025
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English | Size: 986.94 MB | Duration: 2h 18m

    A programming tutorial on how to code a multi-symbol expert advisor based on the anti-correlation concept.

    What you'll learn

    How to code a multi-symbol expert advisor with cost averaging

    How to code expert advisors based on the anti-correlation concept

    How to add a grid trailing stoploss

    How to apply cost averaging to anti-correlation

    Requirements

    Basic MQL5 knowledge

    Description

    Correlation is a statistical measure of how two variables relate to one another and it is measured using a coefficient known as a correlation coefficient. The correlation coefficient ranges between -1.0 and +1.0. A correlation coefficient of +1 between 2 currency pairs implies that the two currency pairs will move in the same direction 100% of the time while a correlation coefficient of -1 between 2 currency pairs implies that the two currency pairs will move in the opposite direction 100% of the time. A correlation coefficient of zero between 2 currency pairs implies that the relationship between the currency pairs is completely random. In the forex markets, positive correlation can be used to predict which currency pairs are likely to move in tandem giving us an opportunity to diversify trades while Negative correlation can be used for hedging purposes.In this course, we are going to focus on negative correlation or anti correlation. Trading using anti-correlation is a brilliant way of increasing trading frequency and profits without taking too much risk. We are going to trade the EURUSD and USDCHF currency pairs which exhibit the best anti-correlation to trading costs ratio. By buying each currency pair, an almost perfect hedge is attained. This can be advantageous as it allows us to profit on one pair while holding the other at a loss, anticipating a rebound.The strengths of this strategy are based on its simple and yet effective entry logic and most importantly, how it manages profitable trades.. If you're still familiarizing yourself with MQL5, don't worry. As long as you understand the basics, this course is perfect for you. I'll patiently guide you through every step, ensuring you grasp the concepts behind each line of code. By the end of this course, you'll have gained the skills necessary to code similar trading models based on the expert advisor shared in this course.So, hit the enroll button now and join me on this exciting journey of coding a trading strategy based on the using the MQL5 algorithmic trading language!

    Overview

    Section 1: Introduction

    Lecture 1 The anti-correlation concept

    Section 2: Coding section

    Lecture 2 Setting up the Expert advisor

    Lecture 3 Creating Objects

    Lecture 4 Getting Indicator Values

    Lecture 5 Regulating Trade Count

    Lecture 6 Setting Risk Parameters

    Lecture 7 Getting Entry Signals

    Lecture 8 Entering First Trades

    Lecture 9 Getting the next entry Price

    Lecture 10 Getting the next entry Lot

    Lecture 11 Entering Cost Averaging Trades

    Lecture 12 Getting the Cost Averaging Trail Price

    Lecture 13 Adding a trailing stoploss

    Lecture 14 Limiting Drawdown

    Lecture 15 Debugging and testing

    Anyone willing to learn how to create expert advisors based on anti-correlation concepts