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
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