Mql5 Advanced: Creating Algorithmic Trading Robots With Mql5

A project oriented intermediate course for the development of Expert advisors using MQL5 for Algorithmic trading

What you'll learn
How to structure algorithmic trading Expert advisors with MQL5
How to create an algorithmic trading Expert advisors with MQL5
How to create algorithmic trading Expert advisors with Breakeven with MQL5
How to create algorithmic trading Expert advisors with Trailing stops
How to create algorithmic trading Expert advisors with Martingale functionality
How to create algorithmic trading Expert advisors with ATR money management
How to create algorithmic trading Expert advisors with close on signals functionality
Requirements
Basic knowledge of MQL5 is needed
Description
“Robots don’t work in the financial market”, they say, “Never trade with indicators” they say, “Just draw lines and expect price to signal its movement by crossing them”, they say.These are the talks of our Gurus or chart artists, that we respect so much because, they say cool things and teach us vague, complicated and highly subjective entry and exit protocols based on imaginary and impossible to quantify patterns in the market.For those who are brave enough to anchor this into their skulls, Algorithmic trading now accounts for the majority of trades executed especially by financial institutions. The top traders in the World Cup Trading championships have demonstrated the power of algorithmic trading by dominating the competition over the years.It is a fact that algorithmic trading is the future, that’s if the future isn’t there already. There is no escaping it, most of us are listening and following the dinosaurs that refuse to evolve based on non-founded theories about tools that enhance our trading.We all understand that there are non-believers of the novelty of pharmaceutical drugs that still believe eating overpriced rare fruits and roots will treat their illnesses. Unfortunately, it is these non-empirical beliefs that people respect and follow, just to oppose a trend.In this advanced MQL5 course, I will be upgrading your beginner knowledge to ensure that you become competent in many aspects of creating expert advisors with many different capabilities.We shall learn all this through hands on projects that I will assign to you throughout this course.Although some people may think that programming is difficult, I will explain all concepts in steps that are easy to follow and make sure that you are not left behind by responding to all questions that you may need answered.All the resources, Expert advisors and Indicators used in this course will be freely available in the resources file that I shall add a download link to.So click that enroll button, now , and lets begin learning how to create fully functional expert advisors.

Overview

Section 1: Introduction

Lecture 1 What you will learn in this course

Lecture 2 Getting Started with MQL5

Section 2: The structure of an Expert advisor

Lecture 3 TSICD indicator signals and analysis

Lecture 4 The general structure of an Expert Advisor

Lecture 5 The Global scope of EAs

Lecture 6 Initialization and Deinitialization of EAs

Lecture 7 OnTick function Checks

Lecture 8 Further OnTick function checks

Lecture 9 Creating Trade entry signals

Lecture 10 Executing Trades

Section 3: Expert advisors as Semi-automated trading triggers

Lecture 11 Semi-automated trading triggers

Section 4: Creating Expert Advisors with Classes

Lecture 12 Creating expert advisors with classes

Section 5: Integrating Expert Advisors with Breakeven and Trailingstops

Lecture 13 Introduction to Breakeven and trailing stops

Lecture 14 Setting Breakeven and Trailing stops parameters

Lecture 15 Integrating the Breakeven function

Lecture 16 Integrating the Trailing stop function

Section 6: Integrating Expert Advisors with Martingale and Reverse Martingale

Lecture 17 Setting Martingale parameters

Lecture 18 Creating the Martingale function

Lecture 19 Integrating the martingale functions into an EA

Section 7: Integrating ATR Money Management

Lecture 20 Introduction to ATR position sizing

Lecture 21 Setting parameters for ATR money management

Lecture 22 Integrating ATR money management functions to EAs

Section 8: Closing trades using signals

Lecture 23 Setting parameters to close trades at opposite signals

Lecture 24 Creating trade closing functions

Lecture 25 Integrating the close trade functions

Lecture 26 Further integration of close trade functions

Section 9: Using Expert Advisor Templates

Lecture 27 Integrating trading Signals into a Template

Section 10: Conclusion

Lecture 28 Bonus lecture

Anyone willing to learn how to create Expert advisors with MQL5 for Algorithmic trading