Mql5 Advanced: Risk Management For Algorithmic Trading

A complete guide to Risk Management functions with MQL5 Algorithmic trading Language

What you'll learn
How to create a Breakout expert advisor with MQL5
How to risk a percentage of Balance per trade with MQL5
How to risk a percentage of Equity per trade with MQL5
How to risk a percentage of fixed balance per trade with MQL5
How to risk a percentage of free margin per trade with MQL5
How to risk a fixed amount of money per trade with MQL5
How to risk use Lot Step or Auto Lot in MQL5
How to implement Martingale with MQL5
How to implement Anti-Martingale with MQL5
How to implement Semi-Martingale with MQL5
Requirements
MQL5 Beginner knowledge is a requirement
Description
There are three pillars of trading that are prerequisite to consistently profiting from the markets. These include having a good trading strategy, having a good trading psychology and having a good money management plan in place.Money management is usually the least focused on yet it is the most important tool a trader can use to continue reaping benefits from the market. Its neglect is the major cause of failure in most trading strategies regardless of whether they are manual, or automated.The main concept of money management lies in the acknowledgment of risk in every trade executed in the market. It is a reflection of awareness on what the future holds in the worst case scenario for every trade entered. It can assist a trader in determining how much they are willing to lose without affecting their ability to trade in the future.In this course, I will be sharing with you some knowledge on how to incorporate Money management capabilities into algorithmic trading softwares to ensure that your automated strategies respect the money management policies of your preferences.I will walk you through the many different forms of risk management and explain to you in great depth and simplicity on how we can code these different capabilities into an expert advisor.I shall explain on different scenarios where you may use each type of risk management and highlight its strengths and weaknesses in algorithmic trading.Enriching your algorithmic trading softwares with proper and automated money management protocols is a very crucial aspect of being a consistently profitable trader and that is why I am inviting you to press hard on that enroll button now, and join me as I guide you through the thick jungle of risk management protocol incorporation using the MQL5 algorithmic trading language.What you will learn:1. How to create a Breakout expert advisor with MQL52. How to risk a percentage of Balance per trade with MQL53. How to risk a percentage of Equity per trade with MQL54. How to risk a percentage of fixed balance per trade with MQL55. How to risk a percentage of free margin per trade with MQL56. How to risk a fixed amount of money per trade with MQL57. How to risk use Lot Step or Auto Lot in MQL58. How to implement Martingale with MQL59. How to implement Anti-Martingale with MQL510. How to implement Semi-Martingale with MQL5

Overview

Section 1: Introduction

Lecture 1 What you will learn

Section 2: The ADX BreakOut Strategy

Lecture 2 The ADX breakout trading strategy

Lecture 3 EA Global Scope

Lecture 4 Defining the Breakout zone

Lecture 5 Counting the Bars in the Range

Lecture 6 Finding the Range Highs and Lows

Lecture 7 Plotting the Range Objects

Lecture 8 Preparing for Trade entries

Lecture 9 Entering Buy and Sell Pending orders

Lecture 10 Trade Orders Management

Lecture 11 Fixing Bugs

Section 3: Conservative Risk Management

Lecture 12 Types of conservative risk management

Lecture 13 Preparations for the Risk Management function

Lecture 14 Percentage of Balance risk management

Lecture 15 Percentage of equity risk management

Lecture 16 Percentage of Fixed Balance risk management

Lecture 17 Percentage of Free Margin risk management

Lecture 18 Fixed risk money risk management

Lecture 19 Dynamic Lot Step risk management

Lecture 20 Fixed Lot Step risk management

Lecture 21 Creating a Risk Management function library

Section 4: Martingale Risk Management

Lecture 22 Types of Martingale

Lecture 23 Martingale global variables

Lecture 24 Counting the Wins and Losses

Lecture 25 Martingale risk Management

Lecture 26 Anti-Martingale risk Management

Lecture 27 Semi-Martingale risk Management

Lecture 28 Modifying the Risk Management function library

Section 5: Conclusion

Lecture 29 Last Remarks

Anyone interested in learning Risk management with MQL5