MQL5 ADVANCED: Code Complex Multi-Target Expert Advisors

Name: MQL5 ADVANCED: Code Complex Multi-Target Expert Advisors
Rating: 4.5 (2 reviews)

Learn to code a breakout multi-trade management strategy implemented by top algo traders using the MQL5 Language

Created byLatvian Trading Solutions, Joy D Moyo

Last updated 11/2025

English

English [Auto],

What you'll learn

How to code Expert Advisors with Multiple methods of Trade management for single trade opportunities
How to diversify Risk using a multi-target approach
How to code a Daily Range expert advisor with MQL5
How to create price level objects in MQL5

Course content

3 sections • 12 lectures • 2h 38m total length

Introduction to the strategy26:36
Introduce multiple exit strategies for a single position within a multi-exit expert advisor, including trailing take profits and break-even, to adapt to changing market conditions.

Setting up the EA14:54
Set up a multi-target expert advisor by configuring initialization and on-tick logic, customizing chart appearance, and defining inputs like symbol, timeframe, and slippage while tracking new bars and days.
Defining variables, constants and objects7:45
Define a four-strategy exit constant and initialize trade and position info objects; declare digits, point, session high, session low, and session flag, then set point, digits, and deviation in points.
Calculating the breakout range13:03
Create functions to identify the trading session and define breakout levels for pending orders. Calculate daily high and low, derive the range, and draw session lines to visualize breakout ranges.
Regulating the trade count9:24
Create functions to count total trades and total pending orders. Delete certain pending orders by filtering by symbol, magic number, and position type.
Calculating the trade volume8:12
Calculate lot size based on account balance and risk inputs, using lot max, min, and step to normalize trades; test the multi-target expert advisor in the strategy tester for breakouts.
Executing Trades14:08
Create a multi-strategy trade system by building per-strategy comments, stop-loss and take-profit multipliers based on session range, and enter buy stop and sell stop orders with magic numbers.
Adding a Break Even Function15:16
Implement a break-even function for the third strategy in mql5 by calculating buy and sell break-even prices and moving the stop loss when price moves in favor.
Adding a trailing StopLoss12:03
This lesson adds a training function that implements a trailing stop loss for strategy four, managing positions with a 1:5 risk to reward, dynamic stop adjustments, and position modification.
Adding a Trailing Take Profit13:03
Develop a trailing take profit for the second strategy in MQL5, incorporating break-even, trailing stop loss, position type checks, symbol validation, and range-based price thresholds.
Testing the strategy23:55
Test a multi-target expert advisor to validate take profit, stop loss, and trailing stop and trailing take profit across strategies. Observe how market conditions and data shape profits and drawdowns.

Requirements

Beginner knowledge in MQL5

Description

Wim Shrynemakers is one of the best and most recognized algorithmic systems designer and traders on the entire planet, with over 25 years of experience in algo trading. He is one of the top selling systems designers on the MQL5 marketplace, offering a lot of trading systems and signals based on those EAs.

He designs EAs that do not use any forms of Grid, hedging or martingale, astrology or even machine learning. Instead, his products are based on a brute edge in the market based on well researched and well-designed entry and trade management protocols.

In one of his interviews on YouTube on market masters by darwinex, he highlighted something which inspired me to create a course that shares the game changing concept that he shared in that interview.

In this course, I am going to guide you on how to create and code an algorithmic trading system using the MQL5 language, based on the Multiple Trade Management concept shared by Wim Shrynemakers in his interview.

Multiple Trade Management is the use of different methods to exit trades of the same position. It acts as a buffer for different market conditions, allowing your expert advisor to consolidate during harsh market periods and thrive when the market conditions suit it.

To demonstrate this concept, we shall design a trading system that uses the previous day’s range to calculate breakout levels for the new day. We shall then enter multiple breakout trades at each breakout level, with each trade having a different exit method that suits different market dynamics.

As we are going to code all these things using the MQL5 language, if you’re still familiarizing yourself with MQL5, don’t worry, as long as you understand the basics, this course is perfect for you.

I will patiently guide you through each and every step, ensuring you grasp the concepts behind each line of code. By the end of this course, you’ll have gained the skills necessary to code similar projects allowing you to develop EAs that use multiple trade management protocols that are dynamic to different market conditions.

So hit hard on the enrol button, now, and join me on this exciting journey of coding an expert advisor based on this incredible trade management logic.

Who this course is for:

Anyone willing to develop strategies in MQL5

MQL5 ADVANCED: Code Complex Multi-Target Expert Advisors

What you'll learn

Explore related topics

Course content

Introduction1 lecture • 27min

Coding the Strategy10 lectures • 2hr 12min

Conclusion1 lecture • 1min

Requirements

Description

Who this course is for: