Mql5 Advanced Risk Management For Algorithmic Trading
Date: 14 September 2022 | Posted by: voska89
Published 8/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.77 GB | Duration: 4h 42m
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
Homepage
https://www.udemy.com/course/mql5-advanced-risk-management-for-algorithmic-trading/DOWNLOAD LINK
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