Mô tả

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 MQL5

2. How to risk a percentage of Balance per trade with MQL5

3. How to risk a percentage of Equity per trade with MQL5

4. How to risk a percentage of fixed balance per trade with MQL5

5. How to risk a percentage of free margin per trade with MQL5

6. How to risk a fixed amount of money per trade with MQL5

7. How to risk use Lot Step or Auto Lot in MQL5

8. How to implement Martingale with MQL5

9. How to implement Anti-Martingale with MQL5

10. How to implement Semi-Martingale with MQL5

Bạn sẽ học được gì

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

Yêu cầu

  • MQL5 Beginner knowledge is a requirement

Nội dung khoá học

5 sections

Introduction

1 lectures
What you will learn
03:31

The ADX BreakOut Strategy

10 lectures
The ADX breakout trading strategy
11:54
EA Global Scope
08:01
Defining the Breakout zone
09:06
Counting the Bars in the Range
04:32
Finding the Range Highs and Lows
10:24
Plotting the Range Objects
09:56
Preparing for Trade entries
06:52
Entering Buy and Sell Pending orders
10:48
Trade Orders Management
09:10
Fixing Bugs
18:27

Conservative Risk Management

10 lectures
Types of conservative risk management
10:16
Preparations for the Risk Management function
07:25
Percentage of Balance risk management
20:33
Percentage of equity risk management
08:24
Percentage of Fixed Balance risk management
03:46
Percentage of Free Margin risk management
03:36
Fixed risk money risk management
03:37
Dynamic Lot Step risk management
08:08
Fixed Lot Step risk management
08:57
Creating a Risk Management function library
13:36

Martingale Risk Management

7 lectures
Types of Martingale
16:23
Martingale global variables
04:33
Counting the Wins and Losses
10:34
Martingale risk Management
21:14
Anti-Martingale risk Management
10:19
Semi-Martingale risk Management
15:17
Modifying the Risk Management function library
11:34

Conclusion

2 lectures
Last Remarks
01:05
Bonus Lecture
06:05

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