Last updated 3/2022
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.32 GB | Duration: 6h 43m
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
Homepage
https://www.udemy.com/course/mql5-advanced-creating-algorithmic-trading-robots-with-mql5/
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