MQL5 Advanced: Creating Algorithmic Trading Robots with MQL5
Learners:
642
Instructor: Joy D Moyo,Latvian Trading Solutions
Duration:
This MQL5 Advanced course is the perfect opportunity to learn how to create algorithmic trading robots with MQL5. Through hands-on projects, you will be guided step-by-step to become competent in many aspects of creating expert advisors with many different capabilities. All the resources, Expert advisors and Indicators used in this course will be freely available in the resources file. Don't miss out on this chance to join the future of trading and click that enroll button now!▼
Course Feature
Cost:
Paid
Provider:
Udemy
Certificate:
Paid Certification
Language:
English
Start Date:
2023-12-14
Course Overview
❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [July 18th, 2023]
This course, MQL5 Advanced: Creating Algorithmic Trading Robots with MQL5, is designed to help students upgrade their beginner knowledge of MQL5 to become competent in creating expert advisors with many different capabilities. Through hands-on projects, students will learn how to create fully functional expert advisors. The course will cover topics such as programming concepts, resources, expert advisors, and indicators. All resources used in the course will be freely available in the resources file, which will be provided with a download link. Students will be guided through the course with easy-to-follow steps and will have the opportunity to ask questions and receive answers.
Pros & Cons
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Unique approach to teaching: The course is praised for its unique approach to teaching, with a beautifully structured content that is easy to follow and absorb. The instructor's dynamic and engaging teaching style, filled with genuine enthusiasm, makes even complex concepts feel approachable. Practical examples and scenarios: The course provides practical examples for learning to create an expert advisor, covering different scenarios that algorithmic trading robots might encounter. This allows learners to apply the knowledge in real-world situations and develop a deeper understanding of the subject.
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Limited use of indicators: Some users mentioned that the entire course only utilizes the TSI indicator. This may be seen as a limitation for those who prefer a more diverse range of indicators to work with. Inconsistent audio quality: One user commented that the audio quality of the course is not so good. This could potentially affect the overall learning experience for some individuals who rely heavily on clear audio for comprehension.
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