MQL5 ADVANCED:Code Machine learning EAs with Neural Networks

Learn to code a neural network into Expert advisors for a better machine learning based trading performance with MQL5

4.40 (46 reviews)
Udemy
platform
English
language
Investing & Trading
category
MQL5 ADVANCED:Code Machine learning EAs with Neural Networks
450
students
4 hours
content
Apr 2024
last update
$69.99
regular price

What you will learn

How to code a neural network into an expert advisor

How to improve EA performance with Neural networks

How to code cost averaging into a neural network EA

How to train a neural network in real time

Why take this course?

The financial markets are becoming increasingly complex and fast-paced, making it challenging for traders to keep up with the latest trends and changing market conditions. This course is meant to boost the capabilities of every trader by solving critical challenges using the evolutionary power of machine learning.

Machine learning empowers us with the ability to develop advanced algorithms which have unparalleled capabilities. With the power of advanced algorithms, you can gain a deeper understanding of market trends, identify profitable trades, and make data-driven decisions.

Our course is designed to give you a practical understanding of how machine learning can be used in algorithmic trading with the MQL5 language. I will guide you through the basics of machine learning, including how it works, its key concepts, and the different types of algorithms. From there, we will explore how to apply these algorithms to algorithmic trading using the MQL5 language including how to collect and analyze market data, how to build predictive models, and how to use these models to make trading decisions.

We will also cover the essential tools and techniques in a way that regardless of whether you're a beginner or an experienced trader, you will learn practical strategies to optimize your trading performance, minimize risks, and increase profits.

Our course is not just about theory; we offer a hands-on approach, with plenty of real-world examples and case studies to illustrate how machine learning can be applied in trading. You will learn how to develop your own trading strategies, test them using historical data, and optimize them for maximum profitability.

Finally, this course is taught by a leading expert in the field, with years of experience in both trading and programming. You can trust that you're learning from the best, and that the skills you acquire in this course will be highly valuable in today's competitive trading landscape.

This course is the perfect way to take your trading skills to the next level. With practical insights, real-world examples, and the latest tools and techniques, you will be equipped to make better, data-driven trading decisions and achieve greater success. Click that enroll button now and let's get started on this exciting journey!

Screenshots

MQL5 ADVANCED:Code Machine learning EAs with Neural Networks - Screenshot_01MQL5 ADVANCED:Code Machine learning EAs with Neural Networks - Screenshot_02MQL5 ADVANCED:Code Machine learning EAs with Neural Networks - Screenshot_03MQL5 ADVANCED:Code Machine learning EAs with Neural Networks - Screenshot_04

Reviews

Thomas
July 12, 2023
Very good introduction into creating an EA, in the first section but no NN related content there. Section 2 begins with a good overview about ML and examples for trading.
Kennedy
June 5, 2023
I would like to express my gratitude to instructor Joy Moyo and the entire team behind this MQL5 Machine Learning for creating such a remarkable course. It has undoubtedly been a transformative learning journey for me.
David
May 31, 2023
So far so good, waiting for the more interesting things to be shown. I am really enjoying this course, and its getting more interesting now that we are starting to talk about machine learning.
Sergio
May 29, 2023
Vamos a por ello, las clases comienzan abordando conceptos conocidos, a ver como evoluciona. Hace una correcta y simple descripción de machine learning, tipo y usos que es muy comprensible.

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5234084
udemy ID
3/26/2023
course created date
6/1/2023
course indexed date
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