MQL5 Algorithmic Trading for Beginners: Building Trading Robots — PickAClass
⏱ 2h 54m 📚 29 lessons 🎧 Audio version

MQL5 Algorithmic Trading for Beginners: Building Trading Robots

Learn how to write custom trading algorithms, backtest strategies, and automate financial trading rules using structured MQL5 code.

  • 💬 AI instructor
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  • 🕐 Start anytime
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  • 🌐 In English
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About this course

Automated trading allows market participants to execute strategies with precision and speed without emotional bias. Understanding how to program your own custom logic in MQL5 gives you complete control over technical trading rules. This text-based course guides you through foundational MQL5 syntax, technical indicator integration, order execution logic, and automated rule implementation. You will gain the practical understanding needed to read code, structure custom indicators, and build a functioning automated trading robot from scratch. What you'll learn: Understand core MQL5 syntax, data types, control structures, and essential financial terminology. Program technical indicator calls and interpret market data signals programmatically. Implement order placement, position tracking, entry/exit rules, and risk management in code. Structure clean scripts and leverage foundational object-oriented programming concepts. Test and evaluate strategy execution using core backtesting principles. Handle runtime execution errors and build robust error-checking routines. You will start by learning key concepts and fundamental terminology before moving on to practical code snippets covering indicator calls, trade functions, and rule automation. This program is specifically designed for beginners and traders looking to automate their strategies, with no previous MQL5 programming experience required. Start reading today to turn your trading strategies into automated MQL5 algorithms.

Course contents

What you'll get

  • 📜 Certificate of completion
    Add it to your LinkedIn profile
  • 💬 Personal AI tutor
    Stuck on a lesson? Ask your built-in tutor anything, any time.
  • 🎧 Audio version included
    Learn on the go — no screen needed
  • ♾️ Lifetime access
    Come back anytime, no expiry
  • 📱 Phone or computer
    Works anywhere, any device
  • 💸 14-day refund
    No questions asked
  • ⚡ Short & focused
    2h 54m of practical content

Certificate of completion

Every course you complete on PickAClass issues a credential like this — original, with its own code, verifiable by URL, and detailed about what was actually demonstrated.

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Certificate of Mastery
This certifies that
Name Surname
has successfully demonstrated mastery of
MQL5 Algorithmic Trading for Beginners: Building Trading Robots
Skills demonstrated
✓
Behavioral pattern analysis
Foundational
1.2 hrs
✓
Decision-architecture frameworks
Proficient
1.4 hrs
✓
A/B test design
Proficient
1.7 hrs
✓
Behavioral copywriting
Advanced
1.9 hrs
P
PickAClass — Name Surname
MQL5 Algorithmic Trading for Beginners: Building Trading Robots
Page 2 of 2
Performance detail
Coursework summary
Lessons completed 14 / 14
Practice questions 26 / 28
Assignments submitted 4 (avg 4.5 / 5)
Capstone project Reviewed — 4.6 / 5
Total practice 6.2 hrs
Performance benchmark
Cohort rank Top 12% of 1,625
Time to completion 11 days (median: 22)
Mastery score 91 / 100
Practice-question score 94%
Skill verification Verified Skill Path
Verify this credential
pickaclass.com/certificates/PCC-2026-X4F7-AP19
Issued under the academic standards of PickAClass. Skill levels reflect assessed performance against the course's competency rubric. This is an original credential of this platform.

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Frequently asked

What do I need to take this course? +

Just a phone or computer with internet. No installs, no special hardware.

How do I pay? +

By card via Stripe. We don’t store card details — Stripe handles them securely.

Can I get a refund? +

Yes — full refund within 14 days, no questions asked.

How long will I have access? +

Forever. Once you purchase, the course is yours to revisit anytime.

Will I get a certificate? +

Yes. On completion you'll receive a certificate you can add to your LinkedIn profile.

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