Everything you need to configure, backtest, deploy, and monitor Expert Advisors on MT5 — without writing a single line of code. Beginner to intermediate, professionally structured.
Concrete, demonstrable skills — not just knowledge of vocabulary.
Understand the 4-layer EA anatomy: signal, filter, risk, execution
Read Strategy Tester backtest reports without wishful thinking
Run walk-forward optimisation to validate out-of-sample performance
Configure daily loss limits, drawdown cutoffs, and lot-size rules
Choose the right VPS and broker combination for your EA type
Monitor live EA health with 7 key metrics
Build and manage a multi-EA portfolio with controlled correlation
Execute the 12-step go-live protocol from demo-ready to funded
Evaluate any EA platform using the 4-pillar due-diligence framework
Apply the 4-phase scaling path: demo → minimum live → portfolio → mature
15 lessons from EA anatomy to multi-strategy portfolio — plus a capstone deployment journal.
Understand EA anatomy — signal, filter, risk, and execution layers — through the recipe analogy.
Map MT5's four processing layers and learn where to look when something goes wrong.
Match each EA family to the market regime it needs. Understand why grid EAs produce great backtests but carry structural blowup risk.
Navigate MT5's EA inputs panel: signal parameters, risk parameters, and execution parameters.
The 5-step installation and demo-testing protocol before any live capital.
Identify which backtest metrics indicate genuine edge and which are noise. Understand 4 structural limitations.
Run MT5's genetic optimizer correctly and use walk-forward testing to validate out-of-sample performance.
Understand how execution latency affects different EA types and how to choose infrastructure that matches your strategy.
Build a 7-rule risk ruleset: daily loss limits, drawdown cutoffs, position size caps, news filters, and more.
Track EA health with the right metrics: profit factor, drawdown, trade frequency, journal consistency, and execution quality.
Evaluate EAs for portfolio fit, manage correlation between strategies, and avoid the common traps of multi-EA setups.
Execute the complete go-live protocol covering broker verification, VPS setup, EA configuration, and capital scaling.
Evaluate production-grade EA platforms across 4 dimensions: architecture, risk controls, track record, and support.
Apply a 10-point due diligence checklist that separates EAs worth testing from those worth avoiding.
Map the 4-phase path from your first live EA to a diversified automated portfolio on VPS infrastructure.
Document your real EA deployment across all 4 phases and earn your course completion certificate.
Three audience tiers — skim in 90 seconds or dive deep for 15 minutes.
Zoomer tier
90-second scan: 4-5 bullets, one key takeaway. Reads like a story, not a textbook.
Standard tier
8-15 min full lesson: concepts, worked examples, 2020-2025 stories, practice exercise.
Pro tier
Optional 5-10 min deep dive: math, microstructure, bibliography for the curious.
Outcome statement
Every lesson opens with 'by the end of this lesson you will be able to ___' — concrete and testable.
Mastery quiz
4-6 questions. Pass at 80% to unlock the next lesson CTA. Retry-friendly, no pressure.
Reflection journal
1-2 prompts to connect the lesson to your situation. Saves in your browser.
EA automation amplifies both gains and losses. This course teaches the professional framework for managing that amplification — risk rules, monitoring habits, phase-by-phase scaling — not how to get rich quickly. Start on demo. Size conservatively. The course covers these disciplines in detail, particularly in Lessons 5, 9, 12, and 15.
Lesson 1 takes 12-15 minutes. By the end you will understand EA anatomy and be able to name the 4 processing layers every automation needs.
Start with Lesson 1Educational content only. Not financial advice. Trading financial instruments involves significant risk of capital loss. Backtests do not guarantee future results. Past performance is not indicative of future returns.